diff --git a/.cursorrules b/.cursorrules
deleted file mode 100644
index 8fbe6def025d95d15c47f657eafbbbf0643a5ca5..0000000000000000000000000000000000000000
--- a/.cursorrules
+++ /dev/null
@@ -1,240 +0,0 @@
-# DeepCritical Project - Cursor Rules
-
-## Project-Wide Rules
-
-**Architecture**: Multi-agent research system using Pydantic AI for agent orchestration, supporting iterative and deep research patterns. Uses middleware for state management, budget tracking, and workflow coordination.
-
-**Type Safety**: ALWAYS use complete type hints. All functions must have parameter and return type annotations. Use `mypy --strict` compliance. Use `TYPE_CHECKING` imports for circular dependencies: `from typing import TYPE_CHECKING; if TYPE_CHECKING: from src.services.embeddings import EmbeddingService`
-
-**Async Patterns**: ALL I/O operations must be async (`async def`, `await`). Use `asyncio.gather()` for parallel operations. CPU-bound work must use `run_in_executor()`: `loop = asyncio.get_running_loop(); result = await loop.run_in_executor(None, cpu_bound_function, args)`. Never block the event loop.
-
-**Error Handling**: Use custom exceptions from `src/utils/exceptions.py`: `DeepCriticalError`, `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions: `raise SearchError(...) from e`. Log with structlog: `logger.error("Operation failed", error=str(e), context=value)`.
-
-**Logging**: Use `structlog` for ALL logging (NOT `print` or `logging`). Import: `import structlog; logger = structlog.get_logger()`. Log with structured data: `logger.info("event", key=value)`. Use appropriate levels: DEBUG, INFO, WARNING, ERROR.
-
-**Pydantic Models**: All data exchange uses Pydantic models from `src/utils/models.py`. Models are frozen (`model_config = {"frozen": True}`) for immutability. Use `Field()` with descriptions. Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints.
-
-**Code Style**: Ruff with 100-char line length. Ignore rules: `PLR0913` (too many arguments), `PLR0912` (too many branches), `PLR0911` (too many returns), `PLR2004` (magic values), `PLW0603` (global statement), `PLC0415` (lazy imports).
-
-**Docstrings**: Google-style docstrings for all public functions. Include Args, Returns, Raises sections. Use type hints in docstrings only if needed for clarity.
-
-**Testing**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`). Use `respx` for httpx mocking, `pytest-mock` for general mocking.
-
-**State Management**: Use `ContextVar` in middleware for thread-safe isolation. Never use global mutable state (except singletons via `@lru_cache`). Use `WorkflowState` from `src/middleware/state_machine.py` for workflow state.
-
-**Citation Validation**: ALWAYS validate references before returning reports. Use `validate_references()` from `src/utils/citation_validator.py`. Remove hallucinated citations. Log warnings for removed citations.
-
----
-
-## src/agents/ - Agent Implementation Rules
-
-**Pattern**: All agents use Pydantic AI `Agent` class. Agents have structured output types (Pydantic models) or return strings. Use factory functions in `src/agent_factory/agents.py` for creation.
-
-**Agent Structure**: 
-- System prompt as module-level constant (with date injection: `datetime.now().strftime("%Y-%m-%d")`)
-- Agent class with `__init__(model: Any | None = None)`
-- Main method (e.g., `async def evaluate()`, `async def write_report()`)
-- Factory function: `def create_agent_name(model: Any | None = None) -> AgentName`
-
-**Model Initialization**: Use `get_model()` from `src/agent_factory/judges.py` if no model provided. Support OpenAI/Anthropic/HF Inference via settings.
-
-**Error Handling**: Return fallback values (e.g., `KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])`) on failure. Log errors with context. Use retry logic (3 retries) in Pydantic AI Agent initialization.
-
-**Input Validation**: Validate query/inputs are not empty. Truncate very long inputs with warnings. Handle None values gracefully.
-
-**Output Types**: Use structured output types from `src/utils/models.py` (e.g., `KnowledgeGapOutput`, `AgentSelectionPlan`, `ReportDraft`). For text output (writer agents), return `str` directly.
-
-**Agent-Specific Rules**:
-- `knowledge_gap.py`: Outputs `KnowledgeGapOutput`. Evaluates research completeness.
-- `tool_selector.py`: Outputs `AgentSelectionPlan`. Selects tools (RAG/web/database).
-- `writer.py`: Returns markdown string. Includes citations in numbered format.
-- `long_writer.py`: Uses `ReportDraft` input/output. Handles section-by-section writing.
-- `proofreader.py`: Takes `ReportDraft`, returns polished markdown.
-- `thinking.py`: Returns observation string from conversation history.
-- `input_parser.py`: Outputs `ParsedQuery` with research mode detection.
-
----
-
-## src/tools/ - Search Tool Rules
-
-**Protocol**: All tools implement `SearchTool` protocol from `src/tools/base.py`: `name` property and `async def search(query, max_results) -> list[Evidence]`.
-
-**Rate Limiting**: Use `@retry` decorator from tenacity: `@retry(stop=stop_after_attempt(3), wait=wait_exponential(...))`. Implement `_rate_limit()` method for APIs with limits. Use shared rate limiters from `src/tools/rate_limiter.py`.
-
-**Error Handling**: Raise `SearchError` or `RateLimitError` on failures. Handle HTTP errors (429, 500, timeout). Return empty list on non-critical errors (log warning).
-
-**Query Preprocessing**: Use `preprocess_query()` from `src/tools/query_utils.py` to remove noise and expand synonyms.
-
-**Evidence Conversion**: Convert API responses to `Evidence` objects with `Citation`. Extract metadata (title, url, date, authors). Set relevance scores (0.0-1.0). Handle missing fields gracefully.
-
-**Tool-Specific Rules**:
-- `pubmed.py`: Use NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Parse XML with `xmltodict`. Handle single vs. multiple articles.
-- `clinicaltrials.py`: Use `requests` library (NOT httpx - WAF blocks httpx). Run in thread pool: `await asyncio.to_thread(requests.get, ...)`. Filter: Only interventional studies, active/completed.
-- `europepmc.py`: Handle preprint markers: `[PREPRINT - Not peer-reviewed]`. Build URLs from DOI or PMID.
-- `rag_tool.py`: Wraps `LlamaIndexRAGService`. Returns Evidence from RAG results. Handles ingestion.
-- `search_handler.py`: Orchestrates parallel searches across multiple tools. Uses `asyncio.gather()` with `return_exceptions=True`. Aggregates results into `SearchResult`.
-
----
-
-## src/middleware/ - Middleware Rules
-
-**State Management**: Use `ContextVar` for thread-safe isolation. `WorkflowState` uses `ContextVar[WorkflowState | None]`. Initialize with `init_workflow_state(embedding_service)`. Access with `get_workflow_state()` (auto-initializes if missing).
-
-**WorkflowState**: Tracks `evidence: list[Evidence]`, `conversation: Conversation`, `embedding_service: Any`. Methods: `add_evidence()` (deduplicates by URL), `async search_related()` (semantic search).
-
-**WorkflowManager**: Manages parallel research loops. Methods: `add_loop()`, `run_loops_parallel()`, `update_loop_status()`, `sync_loop_evidence_to_state()`. Uses `asyncio.gather()` for parallel execution. Handles errors per loop (don't fail all if one fails).
-
-**BudgetTracker**: Tracks tokens, time, iterations per loop and globally. Methods: `create_budget()`, `add_tokens()`, `start_timer()`, `update_timer()`, `increment_iteration()`, `check_budget()`, `can_continue()`. Token estimation: `estimate_tokens(text)` (~4 chars per token), `estimate_llm_call_tokens(prompt, response)`.
-
-**Models**: All middleware models in `src/utils/models.py`. `IterationData`, `Conversation`, `ResearchLoop`, `BudgetStatus` are used by middleware.
-
----
-
-## src/orchestrator/ - Orchestration Rules
-
-**Research Flows**: Two patterns: `IterativeResearchFlow` (single loop) and `DeepResearchFlow` (plan → parallel loops → synthesis). Both support agent chains (`use_graph=False`) and graph execution (`use_graph=True`).
-
-**IterativeResearchFlow**: Pattern: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete. Uses `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`, `WriterAgent`, `JudgeHandler`. Tracks iterations, time, budget.
-
-**DeepResearchFlow**: Pattern: Planner → Parallel iterative loops per section → Synthesizer. Uses `PlannerAgent`, `IterativeResearchFlow` (per section), `LongWriterAgent` or `ProofreaderAgent`. Uses `WorkflowManager` for parallel execution.
-
-**Graph Orchestrator**: Uses Pydantic AI Graphs (when available) or agent chains (fallback). Routes based on research mode (iterative/deep/auto). Streams `AgentEvent` objects for UI.
-
-**State Initialization**: Always call `init_workflow_state()` before running flows. Initialize `BudgetTracker` per loop. Use `WorkflowManager` for parallel coordination.
-
-**Event Streaming**: Yield `AgentEvent` objects during execution. Event types: "started", "search_complete", "judge_complete", "hypothesizing", "synthesizing", "complete", "error". Include iteration numbers and data payloads.
-
----
-
-## src/services/ - Service Rules
-
-**EmbeddingService**: Local sentence-transformers (NO API key required). All operations async-safe via `run_in_executor()`. ChromaDB for vector storage. Deduplication threshold: 0.85 (85% similarity = duplicate).
-
-**LlamaIndexRAGService**: Uses OpenAI embeddings (requires `OPENAI_API_KEY`). Methods: `ingest_evidence()`, `retrieve()`, `query()`. Returns documents with metadata (source, title, url, date, authors). Lazy initialization with graceful fallback.
-
-**StatisticalAnalyzer**: Generates Python code via LLM. Executes in Modal sandbox (secure, isolated). Library versions pinned in `SANDBOX_LIBRARIES` dict. Returns `AnalysisResult` with verdict (SUPPORTED/REFUTED/INCONCLUSIVE).
-
-**Singleton Pattern**: Use `@lru_cache(maxsize=1)` for singletons: `@lru_cache(maxsize=1); def get_service() -> Service: return Service()`. Lazy initialization to avoid requiring dependencies at import time.
-
----
-
-## src/utils/ - Utility Rules
-
-**Models**: All Pydantic models in `src/utils/models.py`. Use frozen models (`model_config = {"frozen": True}`) except where mutation needed. Use `Field()` with descriptions. Validate with constraints.
-
-**Config**: Settings via Pydantic Settings (`src/utils/config.py`). Load from `.env` automatically. Use `settings` singleton: `from src.utils.config import settings`. Validate API keys with properties: `has_openai_key`, `has_anthropic_key`.
-
-**Exceptions**: Custom exception hierarchy in `src/utils/exceptions.py`. Base: `DeepCriticalError`. Specific: `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions.
-
-**LLM Factory**: Centralized LLM model creation in `src/utils/llm_factory.py`. Supports OpenAI, Anthropic, HF Inference. Use `get_model()` or factory functions. Check requirements before initialization.
-
-**Citation Validator**: Use `validate_references()` from `src/utils/citation_validator.py`. Removes hallucinated citations (URLs not in evidence). Logs warnings. Returns validated report string.
-
----
-
-## src/orchestrator_factory.py Rules
-
-**Purpose**: Factory for creating orchestrators. Supports "simple" (legacy) and "advanced" (magentic) modes. Auto-detects mode based on API key availability.
-
-**Pattern**: Lazy import for optional dependencies (`_get_magentic_orchestrator_class()`). Handles `ImportError` gracefully with clear error messages.
-
-**Mode Detection**: `_determine_mode()` checks explicit mode or auto-detects: "advanced" if `settings.has_openai_key`, else "simple". Maps "magentic" → "advanced".
-
-**Function Signature**: `create_orchestrator(search_handler, judge_handler, config, mode) -> Any`. Simple mode requires handlers. Advanced mode uses MagenticOrchestrator.
-
-**Error Handling**: Raise `ValueError` with clear messages if requirements not met. Log mode selection with structlog.
-
----
-
-## src/orchestrator_hierarchical.py Rules
-
-**Purpose**: Hierarchical orchestrator using middleware and sub-teams. Adapts Magentic ChatAgent to SubIterationTeam protocol.
-
-**Pattern**: Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`. Event-driven via callback queue.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated, but kept for compatibility).
-
-**Event Streaming**: Uses `asyncio.Queue` for event coordination. Yields `AgentEvent` objects. Handles event callback pattern with `asyncio.wait()`.
-
-**Error Handling**: Log errors with context. Yield error events. Process remaining events after task completion.
-
----
-
-## src/orchestrator_magentic.py Rules
-
-**Purpose**: Magentic-based orchestrator using ChatAgent pattern. Each agent has internal LLM. Manager orchestrates agents.
-
-**Pattern**: Uses `MagenticBuilder` with participants (searcher, hypothesizer, judge, reporter). Manager uses `OpenAIChatClient`. Workflow built in `_build_workflow()`.
-
-**Event Processing**: `_process_event()` converts Magentic events to `AgentEvent`. Handles: `MagenticOrchestratorMessageEvent`, `MagenticAgentMessageEvent`, `MagenticFinalResultEvent`, `MagenticAgentDeltaEvent`, `WorkflowOutputEvent`.
-
-**Text Extraction**: `_extract_text()` defensively extracts text from messages. Priority: `.content` → `.text` → `str(message)`. Handles buggy message objects.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated).
-
-**Requirements**: Must call `check_magentic_requirements()` in `__init__`. Requires `agent-framework-core` and OpenAI API key.
-
-**Event Types**: Maps agent names to event types: "search" → "search_complete", "judge" → "judge_complete", "hypothes" → "hypothesizing", "report" → "synthesizing".
-
----
-
-## src/agent_factory/ - Factory Rules
-
-**Pattern**: Factory functions for creating agents and handlers. Lazy initialization for optional dependencies. Support OpenAI/Anthropic/HF Inference.
-
-**Judges**: `create_judge_handler()` creates `JudgeHandler` with structured output (`JudgeAssessment`). Supports `MockJudgeHandler`, `HFInferenceJudgeHandler` as fallbacks.
-
-**Agents**: Factory functions in `agents.py` for all Pydantic AI agents. Pattern: `create_agent_name(model: Any | None = None) -> AgentName`. Use `get_model()` if model not provided.
-
-**Graph Builder**: `graph_builder.py` contains utilities for building research graphs. Supports iterative and deep research graph construction.
-
-**Error Handling**: Raise `ConfigurationError` if required API keys missing. Log agent creation. Handle import errors gracefully.
-
----
-
-## src/prompts/ - Prompt Rules
-
-**Pattern**: System prompts stored as module-level constants. Include date injection: `datetime.now().strftime("%Y-%m-%d")`. Format evidence with truncation (1500 chars per item).
-
-**Judge Prompts**: In `judge.py`. Handle empty evidence case separately. Always request structured JSON output.
-
-**Hypothesis Prompts**: In `hypothesis.py`. Use diverse evidence selection (MMR algorithm). Sentence-aware truncation.
-
-**Report Prompts**: In `report.py`. Include full citation details. Use diverse evidence selection (n=20). Emphasize citation validation rules.
-
----
-
-## Testing Rules
-
-**Structure**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`).
-
-**Mocking**: Use `respx` for httpx mocking. Use `pytest-mock` for general mocking. Mock LLM calls in unit tests (use `MockJudgeHandler`).
-
-**Fixtures**: Common fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`.
-
-**Coverage**: Aim for >80% coverage. Test error handling, edge cases, and integration paths.
-
----
-
-## File-Specific Agent Rules
-
-**knowledge_gap.py**: Outputs `KnowledgeGapOutput`. System prompt evaluates research completeness. Handles conversation history. Returns fallback on error.
-
-**writer.py**: Returns markdown string. System prompt includes citation format examples. Validates inputs. Truncates long findings. Retry logic for transient failures.
-
-**long_writer.py**: Uses `ReportDraft` input/output. Writes sections iteratively. Reformats references (deduplicates, renumbers). Reformats section headings.
-
-**proofreader.py**: Takes `ReportDraft`, returns polished markdown. Removes duplicates. Adds summary. Preserves references.
-
-**tool_selector.py**: Outputs `AgentSelectionPlan`. System prompt lists available agents (WebSearchAgent, SiteCrawlerAgent, RAGAgent). Guidelines for when to use each.
-
-**thinking.py**: Returns observation string. Generates observations from conversation history. Uses query and background context.
-
-**input_parser.py**: Outputs `ParsedQuery`. Detects research mode (iterative/deep). Extracts entities and research questions. Improves/refines query.
-
-
-
-
-
-
-
diff --git a/.env.example b/.env.example
deleted file mode 100644
index 442ff75d33f92422e78850b3c9d6d49af6f1d6e3..0000000000000000000000000000000000000000
--- a/.env.example
+++ /dev/null
@@ -1,107 +0,0 @@
-# HuggingFace
-HF_TOKEN=your_huggingface_token_here
-
-# OpenAI (optional)
-OPENAI_API_KEY=your_openai_key_here
-
-# Anthropic (optional)
-ANTHROPIC_API_KEY=your_anthropic_key_here
-
-# Model names (optional - sensible defaults set in config.py)
-# ANTHROPIC_MODEL=claude-sonnet-4-5-20250929
-# OPENAI_MODEL=gpt-5.1
-
-
-# ============================================
-# Audio Processing Configuration (TTS)
-# ============================================
-# Kokoro TTS Model Configuration
-TTS_MODEL=hexgrad/Kokoro-82M
-TTS_VOICE=af_heart
-TTS_SPEED=1.0
-TTS_GPU=T4
-TTS_TIMEOUT=60
-
-# Available TTS Voices:
-# American English Female: af_heart, af_bella, af_nicole, af_aoede, af_kore, af_sarah, af_nova, af_sky, af_alloy, af_jessica, af_river
-# American English Male: am_michael, am_fenrir, am_puck, am_echo, am_eric, am_liam, am_onyx, am_santa, am_adam
-
-# Available GPU Types (Modal):
-# T4 - Cheapest, good for testing (default)
-# A10 - Good balance of cost/performance
-# A100 - Fastest, most expensive
-# L4 - NVIDIA L4 GPU
-# L40S - NVIDIA L40S GPU
-# Note: GPU type is set at function definition time. Changes require app restart.
-
-# ============================================
-# Audio Processing Configuration (STT)
-# ============================================
-# Speech-to-Text API Configuration
-STT_API_URL=nvidia/canary-1b-v2
-STT_SOURCE_LANG=English
-STT_TARGET_LANG=English
-
-# Available STT Languages:
-# English, Bulgarian, Croatian, Czech, Danish, Dutch, Estonian, Finnish, French, German, Greek, Hungarian, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, Swedish, Russian, Ukrainian
-
-# ============================================
-# Audio Feature Flags
-# ============================================
-ENABLE_AUDIO_INPUT=true
-ENABLE_AUDIO_OUTPUT=true
-
-# ============================================
-# Image OCR Configuration
-# ============================================
-OCR_API_URL=prithivMLmods/Multimodal-OCR3
-ENABLE_IMAGE_INPUT=true
-
-# ============== EMBEDDINGS ==============
-
-# OpenAI Embedding Model (used if LLM_PROVIDER is openai and performing RAG/Embeddings)
-OPENAI_EMBEDDING_MODEL=text-embedding-3-small
-
-# Local Embedding Model (used for local/offline embeddings)
-LOCAL_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
-
-# ============== HUGGINGFACE (FREE TIER) ==============
-
-# HuggingFace Token - enables Llama 3.1 (best quality free model)
-# Get yours at: https://huggingface.co/settings/tokens
-#
-# WITHOUT HF_TOKEN: Falls back to ungated models (zephyr-7b-beta)
-# WITH HF_TOKEN: Uses Llama 3.1 8B Instruct (requires accepting license)
-#
-# For HuggingFace Spaces deployment:
-#   Set this as a "Secret" in Space Settings -> Variables and secrets
-#   Users/judges don't need their own token - the Space secret is used
-#
-HF_TOKEN=hf_your-token-here
-
-# ============== AGENT CONFIGURATION ==============
-
-MAX_ITERATIONS=10
-SEARCH_TIMEOUT=30
-LOG_LEVEL=INFO
-
-# ============================================
-# Modal Configuration (Required for TTS)
-# ============================================
-# Modal credentials are required for TTS (Text-to-Speech) functionality
-# Get your credentials from: https://modal.com/
-MODAL_TOKEN_ID=your_modal_token_id_here
-MODAL_TOKEN_SECRET=your_modal_token_secret_here
-
-# ============== EXTERNAL SERVICES ==============
-
-# PubMed (optional - higher rate limits)
-NCBI_API_KEY=your-ncbi-key-here
-
-# Vector Database (optional - for LlamaIndex RAG)
-CHROMA_DB_PATH=./chroma_db
-# Neo4j Knowledge Graph
-NEO4J_URI=bolt://localhost:7687
-NEO4J_USER=neo4j
-NEO4J_PASSWORD=your_neo4j_password_here
-NEO4J_DATABASE=your_database_name
diff --git a/.github/README.md b/.github/README.md
deleted file mode 100644
index 8f3727f7e12fb16c26e4cc7bd30f99d7ffcf36b2..0000000000000000000000000000000000000000
--- a/.github/README.md
+++ /dev/null
@@ -1,56 +0,0 @@
-
-> [!IMPORTANT]
-> **You are reading the Github README!**
-> 
-> - 📚 **Documentation**: See our [technical documentation](https://deepcritical.github.io/GradioDemo/) for detailed information
-> - 📖 **Demo README**: Check out the [Demo README](..README.md) for more information > - 🏆 **Demo**: Kindly consider using our [Free Demo](https://hf.co/DataQuests/GradioDemo)
-
-
-<div align="center">
-
-[![GitHub](https://img.shields.io/github/stars/DeepCritical/GradioDemo?style=for-the-badge&logo=github&logoColor=white&label=🐙%20GitHub&labelColor=181717&color=181717)](https://github.com/DeepCritical/GradioDemo)
-[![Documentation](https://img.shields.io/badge/Docs-0080FF?style=for-the-badge&logo=readthedocs&logoColor=white&labelColor=0080FF&color=0080FF)](deepcritical.github.io/GradioDemo/)
-[![Demo](https://img.shields.io/badge/🚀%20Demo-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white&labelColor=FFD21E&color=FFD21E)](https://huggingface.co/spaces/DataQuests/DeepCritical)
-[![codecov](https://codecov.io/gh/DeepCritical/GradioDemo/graph/badge.svg?token=B1f05RCGpz)](https://codecov.io/gh/DeepCritical/GradioDemo)
-[![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/qdfnvSPcqP) 
-
-</div>
-
-## Quick Start
-
-### 1. Environment Setup
-
-```bash
-# Install uv if you haven't already
-pip install uv
-
-# Sync dependencies
-uv sync --all-extras
-```
-
-### 2. Run the UI
-
-```bash
-# Start the Gradio app
-gradio run "src/app.py"
-```
-
-Open your browser to `http://localhost:7860`.
-
-### 3. Connect via MCP
-
-This application exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.
-
-**MCP Server URL**: `http://localhost:7860/gradio_api/mcp/`
-
-**Claude Desktop Configuration**:
-Add this to your `claude_desktop_config.json`:
-```json
-{
-  "mcpServers": {
-    "deepcritical": {
-      "url": "http://localhost:7860/gradio_api/mcp/"
-    }
-  }
-}
-```
diff --git a/.github/scripts/deploy_to_hf_space.py b/.github/scripts/deploy_to_hf_space.py
deleted file mode 100644
index 0c5782714054ef8a63628ddf4bc84ffacd8e80ff..0000000000000000000000000000000000000000
--- a/.github/scripts/deploy_to_hf_space.py
+++ /dev/null
@@ -1,391 +0,0 @@
-"""Deploy repository to Hugging Face Space, excluding unnecessary files."""
-
-import os
-import shutil
-import subprocess
-import tempfile
-from pathlib import Path
-
-from huggingface_hub import HfApi
-
-
-def get_excluded_dirs() -> set[str]:
-    """Get set of directory names to exclude from deployment."""
-    return {
-        "docs",
-        "dev",
-        "folder",
-        "site",
-        "tests",  # Optional - can be included if desired
-        "examples",  # Optional - can be included if desired
-        ".git",
-        ".github",
-        "__pycache__",
-        ".pytest_cache",
-        ".mypy_cache",
-        ".ruff_cache",
-        ".venv",
-        "venv",
-        "env",
-        "ENV",
-        "node_modules",
-        ".cursor",
-        "reference_repos",
-        "burner_docs",
-        "chroma_db",
-        "logs",
-        "build",
-        "dist",
-        ".eggs",
-        "htmlcov",
-        "hf_space",  # Exclude the cloned HF Space directory itself
-    }
-
-
-def get_excluded_files() -> set[str]:
-    """Get set of file names to exclude from deployment."""
-    return {
-        ".pre-commit-config.yaml",
-        "mkdocs.yml",
-        "uv.lock",
-        "AGENTS.txt",
-        ".env",
-        ".env.local",
-        "*.local",
-        ".DS_Store",
-        "Thumbs.db",
-        "*.log",
-        ".coverage",
-        "coverage.xml",
-    }
-
-
-def should_exclude(path: Path, excluded_dirs: set[str], excluded_files: set[str]) -> bool:
-    """Check if a path should be excluded from deployment."""
-    # Check if any parent directory is excluded
-    for parent in path.parents:
-        if parent.name in excluded_dirs:
-            return True
-
-    # Check if the path itself is a directory that should be excluded
-    if path.is_dir() and path.name in excluded_dirs:
-        return True
-
-    # Check if the file name matches excluded patterns
-    if path.is_file():
-        # Check exact match
-        if path.name in excluded_files:
-            return True
-        # Check pattern matches (simple wildcard support)
-        for pattern in excluded_files:
-            if "*" in pattern:
-                # Simple pattern matching (e.g., "*.log")
-                suffix = pattern.replace("*", "")
-                if path.name.endswith(suffix):
-                    return True
-
-    return False
-
-
-def deploy_to_hf_space() -> None:
-    """Deploy repository to Hugging Face Space.
-
-    Supports both user and organization Spaces:
-    - User Space: username/space-name
-    - Organization Space: organization-name/space-name
-
-    Works with both classic tokens and fine-grained tokens.
-    """
-    # Get configuration from environment variables
-    hf_token = os.getenv("HF_TOKEN")
-    hf_username = os.getenv("HF_USERNAME")  # Can be username or organization name
-    space_name = os.getenv("HF_SPACE_NAME")
-
-    # Check which variables are missing and provide helpful error message
-    missing = []
-    if not hf_token:
-        missing.append("HF_TOKEN (should be in repository secrets)")
-    if not hf_username:
-        missing.append("HF_USERNAME (should be in repository variables)")
-    if not space_name:
-        missing.append("HF_SPACE_NAME (should be in repository variables)")
-
-    if missing:
-        raise ValueError(
-            f"Missing required environment variables: {', '.join(missing)}\n"
-            f"Please configure:\n"
-            f"  - HF_TOKEN in Settings > Secrets and variables > Actions > Secrets\n"
-            f"  - HF_USERNAME in Settings > Secrets and variables > Actions > Variables\n"
-            f"  - HF_SPACE_NAME in Settings > Secrets and variables > Actions > Variables"
-        )
-
-    # HF_USERNAME can be either a username or organization name
-    # Format: {username|organization}/{space_name}
-    repo_id = f"{hf_username}/{space_name}"
-    local_dir = "hf_space"
-
-    print(f"🚀 Deploying to Hugging Face Space: {repo_id}")
-
-    # Initialize HF API
-    api = HfApi(token=hf_token)
-
-    # Create Space if it doesn't exist
-    try:
-        api.repo_info(repo_id=repo_id, repo_type="space", token=hf_token)
-        print(f"✅ Space exists: {repo_id}")
-    except Exception:
-        print(f"⚠️  Space does not exist, creating: {repo_id}")
-        # Create new repository
-        # Note: For organizations, repo_id should be "org/space-name"
-        # For users, repo_id should be "username/space-name"
-        api.create_repo(
-            repo_id=repo_id,  # Full repo_id including owner
-            repo_type="space",
-            space_sdk="gradio",
-            token=hf_token,
-            exist_ok=True,
-        )
-        print(f"✅ Created new Space: {repo_id}")
-
-    # Configure Git credential helper for authentication
-    # This is needed for Git LFS to work properly with fine-grained tokens
-    print("🔐 Configuring Git credentials...")
-
-    # Use Git credential store to store the token
-    # This allows Git LFS to authenticate properly
-    temp_dir = Path(tempfile.gettempdir())
-    credential_store = temp_dir / ".git-credentials-hf"
-
-    # Write credentials in the format: https://username:token@huggingface.co
-    credential_store.write_text(
-        f"https://{hf_username}:{hf_token}@huggingface.co\n", encoding="utf-8"
-    )
-    try:
-        credential_store.chmod(0o600)  # Secure permissions (Unix only)
-    except OSError:
-        # Windows doesn't support chmod, skip
-        pass
-
-    # Configure Git to use the credential store
-    subprocess.run(
-        ["git", "config", "--global", "credential.helper", f"store --file={credential_store}"],
-        check=True,
-        capture_output=True,
-    )
-
-    # Also set environment variable for Git LFS
-    os.environ["GIT_CREDENTIAL_HELPER"] = f"store --file={credential_store}"
-
-    # Clone repository using git
-    # Use the token in the URL for initial clone, but LFS will use credential store
-    space_url = f"https://{hf_username}:{hf_token}@huggingface.co/spaces/{repo_id}"
-
-    if Path(local_dir).exists():
-        print(f"🧹 Removing existing {local_dir} directory...")
-        shutil.rmtree(local_dir)
-
-    print("📥 Cloning Space repository...")
-    try:
-        result = subprocess.run(
-            ["git", "clone", space_url, local_dir],
-            check=True,
-            capture_output=True,
-            text=True,
-        )
-        print("✅ Cloned Space repository")
-
-        # After clone, configure the remote to use credential helper
-        # This ensures future operations (like push) use the credential store
-        os.chdir(local_dir)
-        subprocess.run(
-            ["git", "remote", "set-url", "origin", f"https://huggingface.co/spaces/{repo_id}"],
-            check=True,
-            capture_output=True,
-        )
-        os.chdir("..")
-
-    except subprocess.CalledProcessError as e:
-        error_msg = e.stderr if e.stderr else e.stdout if e.stdout else "Unknown error"
-        print(f"❌ Failed to clone Space repository: {error_msg}")
-
-        # Try alternative: clone with LFS skip, then fetch LFS files separately
-        print("🔄 Trying alternative clone method (skip LFS during clone)...")
-        try:
-            env = os.environ.copy()
-            env["GIT_LFS_SKIP_SMUDGE"] = "1"  # Skip LFS during clone
-
-            subprocess.run(
-                ["git", "clone", space_url, local_dir],
-                check=True,
-                capture_output=True,
-                text=True,
-                env=env,
-            )
-            print("✅ Cloned Space repository (LFS skipped)")
-
-            # Configure remote
-            os.chdir(local_dir)
-            subprocess.run(
-                ["git", "remote", "set-url", "origin", f"https://huggingface.co/spaces/{repo_id}"],
-                check=True,
-                capture_output=True,
-            )
-
-            # Try to fetch LFS files with proper authentication
-            print("📥 Fetching LFS files...")
-            subprocess.run(
-                ["git", "lfs", "pull"],
-                check=False,  # Don't fail if LFS pull fails - we'll continue without LFS files
-                capture_output=True,
-                text=True,
-            )
-            os.chdir("..")
-            print("✅ Repository cloned (LFS files may be incomplete, but deployment can continue)")
-        except subprocess.CalledProcessError as e2:
-            error_msg2 = e2.stderr if e2.stderr else e2.stdout if e2.stdout else "Unknown error"
-            print(f"❌ Alternative clone method also failed: {error_msg2}")
-            raise RuntimeError(f"Git clone failed: {error_msg}") from e
-
-    # Get exclusion sets
-    excluded_dirs = get_excluded_dirs()
-    excluded_files = get_excluded_files()
-
-    # Remove all existing files in HF Space (except .git)
-    print("🧹 Cleaning existing files...")
-    for item in Path(local_dir).iterdir():
-        if item.name == ".git":
-            continue
-        if item.is_dir():
-            shutil.rmtree(item)
-        else:
-            item.unlink()
-
-    # Copy files from repository root
-    print("📦 Copying files...")
-    repo_root = Path(".")
-    files_copied = 0
-    dirs_copied = 0
-
-    for item in repo_root.rglob("*"):
-        # Skip if in .git directory
-        if ".git" in item.parts:
-            continue
-
-        # Skip if in hf_space directory (the cloned Space directory)
-        if "hf_space" in item.parts:
-            continue
-
-        # Skip if should be excluded
-        if should_exclude(item, excluded_dirs, excluded_files):
-            continue
-
-        # Calculate relative path
-        try:
-            rel_path = item.relative_to(repo_root)
-        except ValueError:
-            # Item is outside repo root, skip
-            continue
-
-        # Skip if in excluded directory
-        if any(part in excluded_dirs for part in rel_path.parts):
-            continue
-
-        # Destination path
-        dest_path = Path(local_dir) / rel_path
-
-        # Create parent directories
-        dest_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Copy file or directory
-        if item.is_file():
-            shutil.copy2(item, dest_path)
-            files_copied += 1
-        elif item.is_dir():
-            # Directory will be created by parent mkdir, but we track it
-            dirs_copied += 1
-
-    print(f"✅ Copied {files_copied} files and {dirs_copied} directories")
-
-    # Commit and push changes using git
-    print("💾 Committing changes...")
-
-    # Change to the Space directory
-    original_cwd = os.getcwd()
-    os.chdir(local_dir)
-
-    try:
-        # Configure git user (required for commit)
-        subprocess.run(
-            ["git", "config", "user.name", "github-actions[bot]"],
-            check=True,
-            capture_output=True,
-        )
-        subprocess.run(
-            ["git", "config", "user.email", "github-actions[bot]@users.noreply.github.com"],
-            check=True,
-            capture_output=True,
-        )
-
-        # Add all files
-        subprocess.run(
-            ["git", "add", "."],
-            check=True,
-            capture_output=True,
-        )
-
-        # Check if there are changes to commit
-        result = subprocess.run(
-            ["git", "status", "--porcelain"],
-            check=False,
-            capture_output=True,
-            text=True,
-        )
-
-        if result.stdout.strip():
-            # There are changes, commit and push
-            subprocess.run(
-                ["git", "commit", "-m", "Deploy to Hugging Face Space [skip ci]"],
-                check=True,
-                capture_output=True,
-            )
-            print("📤 Pushing to Hugging Face Space...")
-            # Ensure remote URL uses credential helper (not token in URL)
-            subprocess.run(
-                ["git", "remote", "set-url", "origin", f"https://huggingface.co/spaces/{repo_id}"],
-                check=True,
-                capture_output=True,
-            )
-            subprocess.run(
-                ["git", "push"],
-                check=True,
-                capture_output=True,
-            )
-            print("✅ Deployment complete!")
-        else:
-            print("ℹ️  No changes to commit (repository is up to date)")
-    except subprocess.CalledProcessError as e:
-        error_msg = e.stderr if e.stderr else (e.stdout if e.stdout else str(e))
-        if isinstance(error_msg, bytes):
-            error_msg = error_msg.decode("utf-8", errors="replace")
-        if "nothing to commit" in error_msg.lower():
-            print("ℹ️  No changes to commit (repository is up to date)")
-        else:
-            print(f"⚠️  Error during git operations: {error_msg}")
-            raise RuntimeError(f"Git operation failed: {error_msg}") from e
-    finally:
-        # Return to original directory
-        os.chdir(original_cwd)
-
-        # Clean up credential store for security
-        try:
-            if credential_store.exists():
-                credential_store.unlink()
-        except Exception:
-            # Ignore cleanup errors
-            pass
-
-    print(f"🎉 Successfully deployed to: https://huggingface.co/spaces/{repo_id}")
-
-
-if __name__ == "__main__":
-    deploy_to_hf_space()
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
deleted file mode 100644
index 3379c544288b6a62f9b004de196aacfce4d9159f..0000000000000000000000000000000000000000
--- a/.github/workflows/ci.yml
+++ /dev/null
@@ -1,127 +0,0 @@
-name: CI
-
-on:
-  push:
-    branches: [main, dev, develop]
-  pull_request:
-    branches: [main, dev, develop]
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version: ["3.11"]
-
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e ".[dev]"
-
-      - name: Lint with ruff
-        run: |
-          ruff check . --exclude tests
-          ruff format --check . --exclude tests
-        continue-on-error: true
-
-      - name: Type check with mypy
-        run: |
-          mypy src
-        continue-on-error: true
-
-      - name: Install embedding dependencies
-        run: |
-          pip install -e ".[embeddings]"
-
-      - name: Run unit tests (excluding OpenAI and embedding providers)
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN }}
-        run: |
-          pytest tests/unit/ -v -m "not openai and not embedding_provider" --tb=short -p no:logfire --cov --cov-branch --cov-report=xml --cov-report=term
-
-      - name: Run local embeddings tests
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN }}
-        run: |
-          pytest tests/ -v -m "local_embeddings" --tb=short -p no:logfire --cov --cov-branch --cov-report=xml --cov-report=term --cov-append || true
-        continue-on-error: true  # Allow failures if dependencies not available
-
-      - name: Run HuggingFace integration tests
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN }}
-        run: |
-          pytest tests/integration/ -v -m "huggingface and not embedding_provider" --tb=short -p no:logfire --cov --cov-branch --cov-report=xml --cov-report=term --cov-append || true
-        continue-on-error: true  # Allow failures if HF_TOKEN not set
-
-      - name: Run non-OpenAI integration tests (excluding embedding providers)
-        env:
-          HF_TOKEN: ${{ secrets.HF_TOKEN }}
-        run: |
-          pytest tests/integration/ -v -m "integration and not openai and not embedding_provider" --tb=short -p no:logfire --cov --cov-branch --cov-report=xml --cov-report=term --cov-append || true
-        continue-on-error: true  # Allow failures if dependencies not available
-
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          slug: DeepCritical/GradioDemo
-          files: ./coverage.xml
-          fail_ci_if_error: false
-        continue-on-error: true
-
-  docs:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-    if: github.event_name == 'push' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/dev' || github.ref == 'refs/heads/develop')
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v5
-        with:
-          version: "latest"
-
-      - name: Install dependencies
-        run: |
-          uv sync --extra dev
-
-      - name: Configure Git
-        run: |
-          git config user.name "github-actions[bot]"
-          git config user.email "github-actions[bot]@users.noreply.github.com"
-          git remote set-url origin https://x-access-token:${{ secrets.GITHUB_TOKEN }}@github.com/${{ github.repository }}.git
-
-      - name: Deploy to GitHub Pages
-        run: |
-          # mkdocs gh-deploy automatically creates .nojekyll, but let's verify
-          uv run mkdocs gh-deploy --force --message "Deploy docs [skip ci]" --strict
-          # Verify .nojekyll was created in gh-pages branch
-          git fetch origin gh-pages:gh-pages || true
-          git checkout gh-pages || true
-          if [ -f .nojekyll ]; then
-            echo "✓ .nojekyll file exists"
-          else
-            echo "⚠ .nojekyll file missing, creating it..."
-            touch .nojekyll
-            git add .nojekyll
-            git commit -m "Add .nojekyll to disable Jekyll [skip ci]" || true
-            git push origin gh-pages || true
-          fi
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
\ No newline at end of file
diff --git a/.github/workflows/deploy-hf-space.yml b/.github/workflows/deploy-hf-space.yml
deleted file mode 100644
index e22f89ab05f4f47184e769ff11426d8338285d81..0000000000000000000000000000000000000000
--- a/.github/workflows/deploy-hf-space.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-name: Deploy to Hugging Face Space
-
-on:
-  push:
-    branches: [main]
-  workflow_dispatch:  # Allow manual triggering
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      # No write permissions needed for GitHub repo (we're pushing to HF Space)
-    
-    steps:
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-      
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      
-      - name: Install dependencies
-        run: |
-          pip install --upgrade pip
-          pip install huggingface-hub
-      
-      - name: Deploy to Hugging Face Space
-        env:
-          # Token from secrets (sensitive data)
-          HF_TOKEN: ${{ secrets.HF_TOKEN }}
-          # Username/Organization from repository variables (non-sensitive)
-          HF_USERNAME: ${{ vars.HF_USERNAME }}
-          # Space name from repository variables (non-sensitive)
-          HF_SPACE_NAME: ${{ vars.HF_SPACE_NAME }}
-        run: |
-          python .github/scripts/deploy_to_hf_space.py
-      
-      - name: Verify deployment
-        if: success()
-        run: |
-          echo "✅ Deployment completed successfully!"
-          echo "Space URL: https://huggingface.co/spaces/${{ vars.HF_USERNAME }}/${{ vars.HF_SPACE_NAME }}"
-
diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index 9a982ecba57a76ced6b098ad431436049f052514..0000000000000000000000000000000000000000
--- a/.gitignore
+++ /dev/null
@@ -1,84 +0,0 @@
-folder/
-site/
-.cursor/
-.ruff_cache/
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# Virtual environments
-.venv/
-venv/
-ENV/
-env/
-
-# IDE
-.vscode/
-.idea/
-*.swp
-*.swo
-
-# Environment
-.env
-.env.local
-*.local
-
-# Claude
-.claude/
-
-# Burner docs (working drafts, not for commit)
-burner_docs/
-
-# Reference repos (clone locally, don't commit)
-reference_repos/autogen-microsoft/
-reference_repos/claude-agent-sdk/
-reference_repos/pydanticai-research-agent/
-reference_repos/pubmed-mcp-server/
-reference_repos/DeepCritical/
-
-# Keep the README in reference_repos
-!reference_repos/README.md
-
-# Development directory
-dev/
-
-# OS
-.DS_Store
-Thumbs.db
-
-# Logs
-*.log
-logs/
-
-# Testing
-.pytest_cache/
-.mypy_cache/
-.coverage
-htmlcov/
-test_output*.txt
-
-# Database files
-chroma_db/
-*.sqlite3
-
-
-# Trigger rebuild Wed Nov 26 17:51:41 EST 2025
-.env
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
deleted file mode 100644
index 8b1184f5dec51a8c5abbab8bcc450b9b431a45e5..0000000000000000000000000000000000000000
--- a/.pre-commit-config.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-repos:
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.4.4
-    hooks:
-      - id: ruff
-        args: [--fix, --exclude, tests]
-        exclude: ^reference_repos/
-      - id: ruff-format
-        args: [--exclude, tests]
-        exclude: ^reference_repos/
-
-  - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.10.0
-    hooks:
-      - id: mypy
-        files: ^src/
-        exclude: ^folder|^src/app.py
-        additional_dependencies:
-          - pydantic>=2.7
-          - pydantic-settings>=2.2
-          - tenacity>=8.2
-          - pydantic-ai>=0.0.16
-        args: [--ignore-missing-imports]
-
-  - repo: local
-    hooks:
-      - id: pytest-unit
-        name: pytest unit tests (no OpenAI)
-        entry: uv
-        language: system
-        types: [python]
-        args: [
-          "run",
-          "pytest",
-          "tests/unit/",
-          "-v",
-          "-m",
-          "not openai and not embedding_provider",
-          "--tb=short",
-          "-p",
-          "no:logfire",
-        ]
-        pass_filenames: false
-        always_run: true
-        require_serial: false
-      - id: pytest-local-embeddings
-        name: pytest local embeddings tests
-        entry: uv
-        language: system
-        types: [python]
-        args: [
-          "run",
-          "pytest",
-          "tests/",
-          "-v",
-          "-m",
-          "local_embeddings",
-          "--tb=short",
-          "-p",
-          "no:logfire",
-        ]
-        pass_filenames: false
-        always_run: true
-        require_serial: false
diff --git a/.pre-commit-hooks/run_pytest.ps1 b/.pre-commit-hooks/run_pytest.ps1
deleted file mode 100644
index 3df4f371b845a48ce3a1ea32e307218abbd5a033..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest.ps1
+++ /dev/null
@@ -1,19 +0,0 @@
-# PowerShell pytest runner for pre-commit (Windows)
-# Uses uv if available, otherwise falls back to pytest
-
-if (Get-Command uv -ErrorAction SilentlyContinue) {
-    # Sync dependencies before running tests
-    uv sync
-    uv run pytest $args
-} else {
-    Write-Warning "uv not found, using system pytest (may have missing dependencies)"
-    pytest $args
-}
-
-
-
-
-
-
-
-
diff --git a/.pre-commit-hooks/run_pytest.sh b/.pre-commit-hooks/run_pytest.sh
deleted file mode 100644
index b2a4be920113fd340631f64602c24042e8c81086..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest.sh
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/bin/bash
-# Cross-platform pytest runner for pre-commit
-# Uses uv if available, otherwise falls back to pytest
-
-if command -v uv >/dev/null 2>&1; then
-    # Sync dependencies before running tests
-    uv sync
-    uv run pytest "$@"
-else
-    echo "Warning: uv not found, using system pytest (may have missing dependencies)"
-    pytest "$@"
-fi
-
-
-
-
-
-
-
-
diff --git a/.pre-commit-hooks/run_pytest_embeddings.ps1 b/.pre-commit-hooks/run_pytest_embeddings.ps1
deleted file mode 100644
index 47a3e32a202240c42e5a205d2afd778a23292db7..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_embeddings.ps1
+++ /dev/null
@@ -1,14 +0,0 @@
-# PowerShell wrapper to sync embeddings dependencies and run embeddings tests
-
-$ErrorActionPreference = "Stop"
-
-if (Get-Command uv -ErrorAction SilentlyContinue) {
-    Write-Host "Syncing embeddings dependencies..."
-    uv sync --extra embeddings
-    Write-Host "Running embeddings tests..."
-    uv run pytest tests/ -v -m local_embeddings --tb=short -p no:logfire
-} else {
-    Write-Error "uv not found"
-    exit 1
-}
-
diff --git a/.pre-commit-hooks/run_pytest_embeddings.sh b/.pre-commit-hooks/run_pytest_embeddings.sh
deleted file mode 100644
index 6f1b80746217244367ee86fcd7d69837df648b40..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_embeddings.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/bin/bash
-# Wrapper script to sync embeddings dependencies and run embeddings tests
-
-set -e
-
-if command -v uv >/dev/null 2>&1; then
-    echo "Syncing embeddings dependencies..."
-    uv sync --extra embeddings
-    echo "Running embeddings tests..."
-    uv run pytest tests/ -v -m local_embeddings --tb=short -p no:logfire
-else
-    echo "Error: uv not found"
-    exit 1
-fi
-
diff --git a/.pre-commit-hooks/run_pytest_unit.ps1 b/.pre-commit-hooks/run_pytest_unit.ps1
deleted file mode 100644
index c1196d22e86fe66a56d12f673c003ac88aa6b09f..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_unit.ps1
+++ /dev/null
@@ -1,14 +0,0 @@
-# PowerShell wrapper to sync dependencies and run unit tests
-
-$ErrorActionPreference = "Stop"
-
-if (Get-Command uv -ErrorAction SilentlyContinue) {
-    Write-Host "Syncing dependencies..."
-    uv sync
-    Write-Host "Running unit tests..."
-    uv run pytest tests/unit/ -v -m "not openai and not embedding_provider" --tb=short -p no:logfire
-} else {
-    Write-Error "uv not found"
-    exit 1
-}
-
diff --git a/.pre-commit-hooks/run_pytest_unit.sh b/.pre-commit-hooks/run_pytest_unit.sh
deleted file mode 100644
index 173ab1b607647ecf4b4a1de6b75abd47fc0130ec..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_unit.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/bin/bash
-# Wrapper script to sync dependencies and run unit tests
-
-set -e
-
-if command -v uv >/dev/null 2>&1; then
-    echo "Syncing dependencies..."
-    uv sync
-    echo "Running unit tests..."
-    uv run pytest tests/unit/ -v -m "not openai and not embedding_provider" --tb=short -p no:logfire
-else
-    echo "Error: uv not found"
-    exit 1
-fi
-
diff --git a/.pre-commit-hooks/run_pytest_with_sync.ps1 b/.pre-commit-hooks/run_pytest_with_sync.ps1
deleted file mode 100644
index 546a5096bc6e4b9a46d039f5761234022b8658dd..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_with_sync.ps1
+++ /dev/null
@@ -1,25 +0,0 @@
-# PowerShell wrapper for pytest runner
-# Ensures uv is available and runs the Python script
-
-param(
-    [Parameter(Position=0)]
-    [string]$TestType = "unit"
-)
-
-$ErrorActionPreference = "Stop"
-
-# Check if uv is available
-if (-not (Get-Command uv -ErrorAction SilentlyContinue)) {
-    Write-Error "uv not found. Please install uv: https://github.com/astral-sh/uv"
-    exit 1
-}
-
-# Get the script directory
-$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
-$PythonScript = Join-Path $ScriptDir "run_pytest_with_sync.py"
-
-# Run the Python script using uv
-uv run python $PythonScript $TestType
-
-exit $LASTEXITCODE
-
diff --git a/.pre-commit-hooks/run_pytest_with_sync.py b/.pre-commit-hooks/run_pytest_with_sync.py
deleted file mode 100644
index 70c4eb52f8239d167868ba47b2d4bb80d9ac3173..0000000000000000000000000000000000000000
--- a/.pre-commit-hooks/run_pytest_with_sync.py
+++ /dev/null
@@ -1,235 +0,0 @@
-#!/usr/bin/env python3
-"""Cross-platform pytest runner that syncs dependencies before running tests."""
-
-import shutil
-import subprocess
-import sys
-from pathlib import Path
-
-
-def clean_caches(project_root: Path) -> None:
-    """Remove pytest and Python cache directories and files.
-
-    Comprehensively removes all cache files and directories to ensure
-    clean test runs. Only scans specific directories to avoid resource
-    exhaustion from scanning large directories like .venv on Windows.
-    """
-    # Directories to scan for caches (only project code, not dependencies)
-    scan_dirs = ["src", "tests", ".pre-commit-hooks"]
-
-    # Directories to exclude (to avoid resource issues)
-    exclude_dirs = {
-        ".venv",
-        "venv",
-        "ENV",
-        "env",
-        ".git",
-        "node_modules",
-        "dist",
-        "build",
-        ".eggs",
-        "reference_repos",
-        "folder",
-    }
-
-    # Comprehensive list of cache patterns to remove
-    cache_patterns = [
-        ".pytest_cache",
-        "__pycache__",
-        "*.pyc",
-        "*.pyo",
-        "*.pyd",
-        ".mypy_cache",
-        ".ruff_cache",
-        ".coverage",
-        "coverage.xml",
-        "htmlcov",
-        ".hypothesis",  # Hypothesis testing framework cache
-        ".tox",  # Tox cache (if used)
-        ".cache",  # General Python cache
-    ]
-
-    def should_exclude(path: Path) -> bool:
-        """Check if a path should be excluded from cache cleanup."""
-        # Check if any parent directory is in exclude list
-        for parent in path.parents:
-            if parent.name in exclude_dirs:
-                return True
-        # Check if the path itself is excluded
-        if path.name in exclude_dirs:
-            return True
-        return False
-
-    cleaned = []
-
-    # Only scan specific directories to avoid resource exhaustion
-    for scan_dir in scan_dirs:
-        scan_path = project_root / scan_dir
-        if not scan_path.exists():
-            continue
-
-        for pattern in cache_patterns:
-            if "*" in pattern:
-                # Handle glob patterns for files
-                try:
-                    for cache_file in scan_path.rglob(pattern):
-                        if should_exclude(cache_file):
-                            continue
-                        try:
-                            if cache_file.is_file():
-                                cache_file.unlink()
-                                cleaned.append(str(cache_file.relative_to(project_root)))
-                        except OSError:
-                            pass  # Ignore errors (file might be locked or already deleted)
-                except OSError:
-                    pass  # Ignore errors during directory traversal
-            else:
-                # Handle directory patterns
-                try:
-                    for cache_dir in scan_path.rglob(pattern):
-                        if should_exclude(cache_dir):
-                            continue
-                        try:
-                            if cache_dir.is_dir():
-                                shutil.rmtree(cache_dir, ignore_errors=True)
-                                cleaned.append(str(cache_dir.relative_to(project_root)))
-                        except OSError:
-                            pass  # Ignore errors (directory might be locked)
-                except OSError:
-                    pass  # Ignore errors during directory traversal
-
-    # Also clean root-level caches (like .pytest_cache in project root)
-    root_cache_patterns = [
-        ".pytest_cache",
-        ".mypy_cache",
-        ".ruff_cache",
-        ".coverage",
-        "coverage.xml",
-        "htmlcov",
-        ".hypothesis",
-        ".tox",
-        ".cache",
-        ".pytest",
-    ]
-    for pattern in root_cache_patterns:
-        cache_path = project_root / pattern
-        if cache_path.exists():
-            try:
-                if cache_path.is_dir():
-                    shutil.rmtree(cache_path, ignore_errors=True)
-                elif cache_path.is_file():
-                    cache_path.unlink()
-                cleaned.append(pattern)
-            except OSError:
-                pass
-
-    # Also remove any .pyc files in root directory
-    try:
-        for pyc_file in project_root.glob("*.pyc"):
-            try:
-                pyc_file.unlink()
-                cleaned.append(pyc_file.name)
-            except OSError:
-                pass
-    except OSError:
-        pass
-
-    if cleaned:
-        print(
-            f"Cleaned {len(cleaned)} cache items: {', '.join(cleaned[:10])}{'...' if len(cleaned) > 10 else ''}"
-        )
-    else:
-        print("No cache files found to clean")
-
-
-def run_command(
-    cmd: list[str], check: bool = True, shell: bool = False, cwd: str | None = None
-) -> int:
-    """Run a command and return exit code."""
-    try:
-        result = subprocess.run(
-            cmd,
-            check=check,
-            shell=shell,
-            cwd=cwd,
-            env=None,  # Use current environment, uv will handle venv
-        )
-        return result.returncode
-    except subprocess.CalledProcessError as e:
-        return e.returncode
-    except FileNotFoundError:
-        print(f"Error: Command not found: {cmd[0]}")
-        return 1
-
-
-def main() -> int:
-    """Main entry point."""
-    import os
-
-    # Get the project root (where pyproject.toml is)
-    script_dir = Path(__file__).parent
-    project_root = script_dir.parent
-
-    # Change to project root to ensure uv works correctly
-    os.chdir(project_root)
-
-    # Clean caches before running tests
-    print("Cleaning pytest and Python caches...")
-    clean_caches(project_root)
-
-    # Check if uv is available
-    if run_command(["uv", "--version"], check=False) != 0:
-        print("Error: uv not found. Please install uv: https://github.com/astral-sh/uv")
-        return 1
-
-    # Parse arguments
-    test_type = sys.argv[1] if len(sys.argv) > 1 else "unit"
-    extra_args = sys.argv[2:] if len(sys.argv) > 2 else []
-
-    # Sync dependencies - always include dev
-    # Note: embeddings dependencies are now in main dependencies, not optional
-    # Use --extra dev for [project.optional-dependencies].dev (not --dev which is for [dependency-groups])
-    sync_cmd = ["uv", "sync", "--extra", "dev"]
-
-    print(f"Syncing dependencies for {test_type} tests...")
-    if run_command(sync_cmd, cwd=project_root) != 0:
-        return 1
-
-    # Build pytest command - use uv run to ensure correct environment
-    if test_type == "unit":
-        pytest_args = [
-            "tests/unit/",
-            "-v",
-            "-m",
-            "not openai and not embedding_provider",
-            "--tb=short",
-            "-p",
-            "no:logfire",
-            "--cache-clear",  # Clear pytest cache before running
-        ]
-    elif test_type == "embeddings":
-        pytest_args = [
-            "tests/",
-            "-v",
-            "-m",
-            "local_embeddings",
-            "--tb=short",
-            "-p",
-            "no:logfire",
-            "--cache-clear",  # Clear pytest cache before running
-        ]
-    else:
-        pytest_args = []
-
-    pytest_args.extend(extra_args)
-
-    # Use uv run python -m pytest to ensure we use the venv's pytest
-    # This is more reliable than uv run pytest which might find system pytest
-    pytest_cmd = ["uv", "run", "python", "-m", "pytest", *pytest_args]
-
-    print(f"Running {test_type} tests...")
-    return run_command(pytest_cmd, cwd=project_root)
-
-
-if __name__ == "__main__":
-    sys.exit(main())
diff --git a/.python-version b/.python-version
deleted file mode 100644
index 2c0733315e415bfb5e5b353f9996ecd964d395b2..0000000000000000000000000000000000000000
--- a/.python-version
+++ /dev/null
@@ -1 +0,0 @@
-3.11
diff --git a/AGENTS.txt b/AGENTS.txt
deleted file mode 100644
index 24cb3ed4b8ac8cd3c519cbe24b640faaac1217bd..0000000000000000000000000000000000000000
--- a/AGENTS.txt
+++ /dev/null
@@ -1,236 +0,0 @@
-# DeepCritical Project - Rules
-
-## Project-Wide Rules
-
-**Architecture**: Multi-agent research system using Pydantic AI for agent orchestration, supporting iterative and deep research patterns. Uses middleware for state management, budget tracking, and workflow coordination.
-
-**Type Safety**: ALWAYS use complete type hints. All functions must have parameter and return type annotations. Use `mypy --strict` compliance. Use `TYPE_CHECKING` imports for circular dependencies: `from typing import TYPE_CHECKING; if TYPE_CHECKING: from src.services.embeddings import EmbeddingService`
-
-**Async Patterns**: ALL I/O operations must be async (`async def`, `await`). Use `asyncio.gather()` for parallel operations. CPU-bound work must use `run_in_executor()`: `loop = asyncio.get_running_loop(); result = await loop.run_in_executor(None, cpu_bound_function, args)`. Never block the event loop.
-
-**Error Handling**: Use custom exceptions from `src/utils/exceptions.py`: `DeepCriticalError`, `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions: `raise SearchError(...) from e`. Log with structlog: `logger.error("Operation failed", error=str(e), context=value)`.
-
-**Logging**: Use `structlog` for ALL logging (NOT `print` or `logging`). Import: `import structlog; logger = structlog.get_logger()`. Log with structured data: `logger.info("event", key=value)`. Use appropriate levels: DEBUG, INFO, WARNING, ERROR.
-
-**Pydantic Models**: All data exchange uses Pydantic models from `src/utils/models.py`. Models are frozen (`model_config = {"frozen": True}`) for immutability. Use `Field()` with descriptions. Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints.
-
-**Code Style**: Ruff with 100-char line length. Ignore rules: `PLR0913` (too many arguments), `PLR0912` (too many branches), `PLR0911` (too many returns), `PLR2004` (magic values), `PLW0603` (global statement), `PLC0415` (lazy imports).
-
-**Docstrings**: Google-style docstrings for all public functions. Include Args, Returns, Raises sections. Use type hints in docstrings only if needed for clarity.
-
-**Testing**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`). Use `respx` for httpx mocking, `pytest-mock` for general mocking.
-
-**State Management**: Use `ContextVar` in middleware for thread-safe isolation. Never use global mutable state (except singletons via `@lru_cache`). Use `WorkflowState` from `src/middleware/state_machine.py` for workflow state.
-
-**Citation Validation**: ALWAYS validate references before returning reports. Use `validate_references()` from `src/utils/citation_validator.py`. Remove hallucinated citations. Log warnings for removed citations.
-
----
-
-## src/agents/ - Agent Implementation Rules
-
-**Pattern**: All agents use Pydantic AI `Agent` class. Agents have structured output types (Pydantic models) or return strings. Use factory functions in `src/agent_factory/agents.py` for creation.
-
-**Agent Structure**: 
-- System prompt as module-level constant (with date injection: `datetime.now().strftime("%Y-%m-%d")`)
-- Agent class with `__init__(model: Any | None = None)`
-- Main method (e.g., `async def evaluate()`, `async def write_report()`)
-- Factory function: `def create_agent_name(model: Any | None = None) -> AgentName`
-
-**Model Initialization**: Use `get_model()` from `src/agent_factory/judges.py` if no model provided. Support OpenAI/Anthropic/HF Inference via settings.
-
-**Error Handling**: Return fallback values (e.g., `KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])`) on failure. Log errors with context. Use retry logic (3 retries) in Pydantic AI Agent initialization.
-
-**Input Validation**: Validate query/inputs are not empty. Truncate very long inputs with warnings. Handle None values gracefully.
-
-**Output Types**: Use structured output types from `src/utils/models.py` (e.g., `KnowledgeGapOutput`, `AgentSelectionPlan`, `ReportDraft`). For text output (writer agents), return `str` directly.
-
-**Agent-Specific Rules**:
-- `knowledge_gap.py`: Outputs `KnowledgeGapOutput`. Evaluates research completeness.
-- `tool_selector.py`: Outputs `AgentSelectionPlan`. Selects tools (RAG/web/database).
-- `writer.py`: Returns markdown string. Includes citations in numbered format.
-- `long_writer.py`: Uses `ReportDraft` input/output. Handles section-by-section writing.
-- `proofreader.py`: Takes `ReportDraft`, returns polished markdown.
-- `thinking.py`: Returns observation string from conversation history.
-- `input_parser.py`: Outputs `ParsedQuery` with research mode detection.
-
----
-
-## src/tools/ - Search Tool Rules
-
-**Protocol**: All tools implement `SearchTool` protocol from `src/tools/base.py`: `name` property and `async def search(query, max_results) -> list[Evidence]`.
-
-**Rate Limiting**: Use `@retry` decorator from tenacity: `@retry(stop=stop_after_attempt(3), wait=wait_exponential(...))`. Implement `_rate_limit()` method for APIs with limits. Use shared rate limiters from `src/tools/rate_limiter.py`.
-
-**Error Handling**: Raise `SearchError` or `RateLimitError` on failures. Handle HTTP errors (429, 500, timeout). Return empty list on non-critical errors (log warning).
-
-**Query Preprocessing**: Use `preprocess_query()` from `src/tools/query_utils.py` to remove noise and expand synonyms.
-
-**Evidence Conversion**: Convert API responses to `Evidence` objects with `Citation`. Extract metadata (title, url, date, authors). Set relevance scores (0.0-1.0). Handle missing fields gracefully.
-
-**Tool-Specific Rules**:
-- `pubmed.py`: Use NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Parse XML with `xmltodict`. Handle single vs. multiple articles.
-- `clinicaltrials.py`: Use `requests` library (NOT httpx - WAF blocks httpx). Run in thread pool: `await asyncio.to_thread(requests.get, ...)`. Filter: Only interventional studies, active/completed.
-- `europepmc.py`: Handle preprint markers: `[PREPRINT - Not peer-reviewed]`. Build URLs from DOI or PMID.
-- `rag_tool.py`: Wraps `LlamaIndexRAGService`. Returns Evidence from RAG results. Handles ingestion.
-- `search_handler.py`: Orchestrates parallel searches across multiple tools. Uses `asyncio.gather()` with `return_exceptions=True`. Aggregates results into `SearchResult`.
-
----
-
-## src/middleware/ - Middleware Rules
-
-**State Management**: Use `ContextVar` for thread-safe isolation. `WorkflowState` uses `ContextVar[WorkflowState | None]`. Initialize with `init_workflow_state(embedding_service)`. Access with `get_workflow_state()` (auto-initializes if missing).
-
-**WorkflowState**: Tracks `evidence: list[Evidence]`, `conversation: Conversation`, `embedding_service: Any`. Methods: `add_evidence()` (deduplicates by URL), `async search_related()` (semantic search).
-
-**WorkflowManager**: Manages parallel research loops. Methods: `add_loop()`, `run_loops_parallel()`, `update_loop_status()`, `sync_loop_evidence_to_state()`. Uses `asyncio.gather()` for parallel execution. Handles errors per loop (don't fail all if one fails).
-
-**BudgetTracker**: Tracks tokens, time, iterations per loop and globally. Methods: `create_budget()`, `add_tokens()`, `start_timer()`, `update_timer()`, `increment_iteration()`, `check_budget()`, `can_continue()`. Token estimation: `estimate_tokens(text)` (~4 chars per token), `estimate_llm_call_tokens(prompt, response)`.
-
-**Models**: All middleware models in `src/utils/models.py`. `IterationData`, `Conversation`, `ResearchLoop`, `BudgetStatus` are used by middleware.
-
----
-
-## src/orchestrator/ - Orchestration Rules
-
-**Research Flows**: Two patterns: `IterativeResearchFlow` (single loop) and `DeepResearchFlow` (plan → parallel loops → synthesis). Both support agent chains (`use_graph=False`) and graph execution (`use_graph=True`).
-
-**IterativeResearchFlow**: Pattern: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete. Uses `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`, `WriterAgent`, `JudgeHandler`. Tracks iterations, time, budget.
-
-**DeepResearchFlow**: Pattern: Planner → Parallel iterative loops per section → Synthesizer. Uses `PlannerAgent`, `IterativeResearchFlow` (per section), `LongWriterAgent` or `ProofreaderAgent`. Uses `WorkflowManager` for parallel execution.
-
-**Graph Orchestrator**: Uses Pydantic AI Graphs (when available) or agent chains (fallback). Routes based on research mode (iterative/deep/auto). Streams `AgentEvent` objects for UI.
-
-**State Initialization**: Always call `init_workflow_state()` before running flows. Initialize `BudgetTracker` per loop. Use `WorkflowManager` for parallel coordination.
-
-**Event Streaming**: Yield `AgentEvent` objects during execution. Event types: "started", "search_complete", "judge_complete", "hypothesizing", "synthesizing", "complete", "error". Include iteration numbers and data payloads.
-
----
-
-## src/services/ - Service Rules
-
-**EmbeddingService**: Local sentence-transformers (NO API key required). All operations async-safe via `run_in_executor()`. ChromaDB for vector storage. Deduplication threshold: 0.85 (85% similarity = duplicate).
-
-**LlamaIndexRAGService**: Uses OpenAI embeddings (requires `OPENAI_API_KEY`). Methods: `ingest_evidence()`, `retrieve()`, `query()`. Returns documents with metadata (source, title, url, date, authors). Lazy initialization with graceful fallback.
-
-**StatisticalAnalyzer**: Generates Python code via LLM. Executes in Modal sandbox (secure, isolated). Library versions pinned in `SANDBOX_LIBRARIES` dict. Returns `AnalysisResult` with verdict (SUPPORTED/REFUTED/INCONCLUSIVE).
-
-**Singleton Pattern**: Use `@lru_cache(maxsize=1)` for singletons: `@lru_cache(maxsize=1); def get_service() -> Service: return Service()`. Lazy initialization to avoid requiring dependencies at import time.
-
----
-
-## src/utils/ - Utility Rules
-
-**Models**: All Pydantic models in `src/utils/models.py`. Use frozen models (`model_config = {"frozen": True}`) except where mutation needed. Use `Field()` with descriptions. Validate with constraints.
-
-**Config**: Settings via Pydantic Settings (`src/utils/config.py`). Load from `.env` automatically. Use `settings` singleton: `from src.utils.config import settings`. Validate API keys with properties: `has_openai_key`, `has_anthropic_key`.
-
-**Exceptions**: Custom exception hierarchy in `src/utils/exceptions.py`. Base: `DeepCriticalError`. Specific: `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions.
-
-**LLM Factory**: Centralized LLM model creation in `src/utils/llm_factory.py`. Supports OpenAI, Anthropic, HF Inference. Use `get_model()` or factory functions. Check requirements before initialization.
-
-**Citation Validator**: Use `validate_references()` from `src/utils/citation_validator.py`. Removes hallucinated citations (URLs not in evidence). Logs warnings. Returns validated report string.
-
----
-
-## src/orchestrator_factory.py Rules
-
-**Purpose**: Factory for creating orchestrators. Supports "simple" (legacy) and "advanced" (magentic) modes. Auto-detects mode based on API key availability.
-
-**Pattern**: Lazy import for optional dependencies (`_get_magentic_orchestrator_class()`). Handles `ImportError` gracefully with clear error messages.
-
-**Mode Detection**: `_determine_mode()` checks explicit mode or auto-detects: "advanced" if `settings.has_openai_key`, else "simple". Maps "magentic" → "advanced".
-
-**Function Signature**: `create_orchestrator(search_handler, judge_handler, config, mode) -> Any`. Simple mode requires handlers. Advanced mode uses MagenticOrchestrator.
-
-**Error Handling**: Raise `ValueError` with clear messages if requirements not met. Log mode selection with structlog.
-
----
-
-## src/orchestrator_hierarchical.py Rules
-
-**Purpose**: Hierarchical orchestrator using middleware and sub-teams. Adapts Magentic ChatAgent to SubIterationTeam protocol.
-
-**Pattern**: Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`. Event-driven via callback queue.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated, but kept for compatibility).
-
-**Event Streaming**: Uses `asyncio.Queue` for event coordination. Yields `AgentEvent` objects. Handles event callback pattern with `asyncio.wait()`.
-
-**Error Handling**: Log errors with context. Yield error events. Process remaining events after task completion.
-
----
-
-## src/orchestrator_magentic.py Rules
-
-**Purpose**: Magentic-based orchestrator using ChatAgent pattern. Each agent has internal LLM. Manager orchestrates agents.
-
-**Pattern**: Uses `MagenticBuilder` with participants (searcher, hypothesizer, judge, reporter). Manager uses `OpenAIChatClient`. Workflow built in `_build_workflow()`.
-
-**Event Processing**: `_process_event()` converts Magentic events to `AgentEvent`. Handles: `MagenticOrchestratorMessageEvent`, `MagenticAgentMessageEvent`, `MagenticFinalResultEvent`, `MagenticAgentDeltaEvent`, `WorkflowOutputEvent`.
-
-**Text Extraction**: `_extract_text()` defensively extracts text from messages. Priority: `.content` → `.text` → `str(message)`. Handles buggy message objects.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated).
-
-**Requirements**: Must call `check_magentic_requirements()` in `__init__`. Requires `agent-framework-core` and OpenAI API key.
-
-**Event Types**: Maps agent names to event types: "search" → "search_complete", "judge" → "judge_complete", "hypothes" → "hypothesizing", "report" → "synthesizing".
-
----
-
-## src/agent_factory/ - Factory Rules
-
-**Pattern**: Factory functions for creating agents and handlers. Lazy initialization for optional dependencies. Support OpenAI/Anthropic/HF Inference.
-
-**Judges**: `create_judge_handler()` creates `JudgeHandler` with structured output (`JudgeAssessment`). Supports `MockJudgeHandler`, `HFInferenceJudgeHandler` as fallbacks.
-
-**Agents**: Factory functions in `agents.py` for all Pydantic AI agents. Pattern: `create_agent_name(model: Any | None = None) -> AgentName`. Use `get_model()` if model not provided.
-
-**Graph Builder**: `graph_builder.py` contains utilities for building research graphs. Supports iterative and deep research graph construction.
-
-**Error Handling**: Raise `ConfigurationError` if required API keys missing. Log agent creation. Handle import errors gracefully.
-
----
-
-## src/prompts/ - Prompt Rules
-
-**Pattern**: System prompts stored as module-level constants. Include date injection: `datetime.now().strftime("%Y-%m-%d")`. Format evidence with truncation (1500 chars per item).
-
-**Judge Prompts**: In `judge.py`. Handle empty evidence case separately. Always request structured JSON output.
-
-**Hypothesis Prompts**: In `hypothesis.py`. Use diverse evidence selection (MMR algorithm). Sentence-aware truncation.
-
-**Report Prompts**: In `report.py`. Include full citation details. Use diverse evidence selection (n=20). Emphasize citation validation rules.
-
----
-
-## Testing Rules
-
-**Structure**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`).
-
-**Mocking**: Use `respx` for httpx mocking. Use `pytest-mock` for general mocking. Mock LLM calls in unit tests (use `MockJudgeHandler`).
-
-**Fixtures**: Common fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`.
-
-**Coverage**: Aim for >80% coverage. Test error handling, edge cases, and integration paths.
-
----
-
-## File-Specific Agent Rules
-
-**knowledge_gap.py**: Outputs `KnowledgeGapOutput`. System prompt evaluates research completeness. Handles conversation history. Returns fallback on error.
-
-**writer.py**: Returns markdown string. System prompt includes citation format examples. Validates inputs. Truncates long findings. Retry logic for transient failures.
-
-**long_writer.py**: Uses `ReportDraft` input/output. Writes sections iteratively. Reformats references (deduplicates, renumbers). Reformats section headings.
-
-**proofreader.py**: Takes `ReportDraft`, returns polished markdown. Removes duplicates. Adds summary. Preserves references.
-
-**tool_selector.py**: Outputs `AgentSelectionPlan`. System prompt lists available agents (WebSearchAgent, SiteCrawlerAgent, RAGAgent). Guidelines for when to use each.
-
-**thinking.py**: Returns observation string. Generates observations from conversation history. Uses query and background context.
-
-**input_parser.py**: Outputs `ParsedQuery`. Detects research mode (iterative/deep). Extracts entities and research questions. Improves/refines query.
-
-
-
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
deleted file mode 100644
index 9a93fd1f812752141d49e4e27efee17405ed9563..0000000000000000000000000000000000000000
--- a/CONTRIBUTING.md
+++ /dev/null
@@ -1,494 +0,0 @@
-# Contributing to The DETERMINATOR
-
-Thank you for your interest in contributing to The DETERMINATOR! This guide will help you get started.
-
-## Table of Contents
-
-- [Git Workflow](#git-workflow)
-- [Getting Started](#getting-started)
-- [Development Commands](#development-commands)
-- [MCP Integration](#mcp-integration)
-- [Common Pitfalls](#common-pitfalls)
-- [Key Principles](#key-principles)
-- [Pull Request Process](#pull-request-process)
-
-> **Note**: Additional sections (Code Style, Error Handling, Testing, Implementation Patterns, Code Quality, and Prompt Engineering) are available as separate pages in the [documentation](https://deepcritical.github.io/GradioDemo/contributing/).  
-> **Note on Project Names**: "The DETERMINATOR" is the product name, "DeepCritical" is the organization/project name, and "determinator" is the Python package name.
-
-## Repository Information
-
-- **GitHub Repository**: [`DeepCritical/GradioDemo`](https://github.com/DeepCritical/GradioDemo) (source of truth, PRs, code review)
-- **HuggingFace Space**: [`DataQuests/DeepCritical`](https://huggingface.co/spaces/DataQuests/DeepCritical) (deployment/demo)
-- **Package Name**: `determinator` (Python package name in `pyproject.toml`)
-
-## Git Workflow
-
-- `main`: Production-ready (GitHub)
-- `dev`: Development integration (GitHub)
-- Use feature branches: `yourname-dev`
-- **NEVER** push directly to `main` or `dev` on HuggingFace
-- GitHub is source of truth; HuggingFace is for deployment
-
-### Dual Repository Setup
-
-This project uses a dual repository setup:
-
-- **GitHub (`DeepCritical/GradioDemo`)**: Source of truth for code, PRs, and code review
-- **HuggingFace (`DataQuests/DeepCritical`)**: Deployment target for the Gradio demo
-
-#### Remote Configuration
-
-When cloning, set up remotes as follows:
-
-```bash
-# Clone from GitHub
-git clone https://github.com/DeepCritical/GradioDemo.git
-cd GradioDemo
-
-# Add HuggingFace remote (optional, for deployment)
-git remote add huggingface-upstream https://huggingface.co/spaces/DataQuests/DeepCritical
-```
-
-**Important**: Never push directly to `main` or `dev` on HuggingFace. Always work through GitHub PRs. GitHub is the source of truth; HuggingFace is for deployment/demo only.
-
-## Getting Started
-
-1. **Fork the repository** on GitHub: [`DeepCritical/GradioDemo`](https://github.com/DeepCritical/GradioDemo)
-2. **Clone your fork**:
-
-   ```bash
-   git clone https://github.com/yourusername/GradioDemo.git
-   cd GradioDemo
-   ```
-
-3. **Install dependencies**:
-
-   ```bash
-   uv sync --all-extras
-   uv run pre-commit install
-   ```
-
-4. **Create a feature branch**:
-
-   ```bash
-   git checkout -b yourname-feature-name
-   ```
-
-5. **Make your changes** following the guidelines below
-6. **Run checks**:
-
-   ```bash
-   uv run ruff check src tests
-   uv run mypy src
-   uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire
-   ```
-
-7. **Commit and push**:
-
-   ```bash
-   git commit -m "Description of changes"
-   git push origin yourname-feature-name
-   ```
-
-8. **Create a pull request** on GitHub
-
-## Package Manager
-
-This project uses [`uv`](https://github.com/astral-sh/uv) as the package manager. All commands should be prefixed with `uv run` to ensure they run in the correct environment.
-
-### Installation
-
-```bash
-# Install uv if you haven't already (recommended: standalone installer)
-# Unix/macOS/Linux:
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
-# Windows (PowerShell):
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-
-# Alternative: pipx install uv
-# Or: pip install uv
-
-# Sync all dependencies including dev extras
-uv sync --all-extras
-
-# Install pre-commit hooks
-uv run pre-commit install
-```
-
-## Development Commands
-
-```bash
-# Installation
-uv sync --all-extras              # Install all dependencies including dev
-uv run pre-commit install          # Install pre-commit hooks
-
-# Code Quality Checks (run all before committing)
-uv run ruff check src tests       # Lint with ruff
-uv run ruff format src tests      # Format with ruff
-uv run mypy src                   # Type checking
-uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire  # Tests with coverage
-
-# Testing Commands
-uv run pytest tests/unit/ -v -m "not openai" -p no:logfire              # Run unit tests (excludes OpenAI tests)
-uv run pytest tests/ -v -m "huggingface" -p no:logfire                 # Run HuggingFace tests
-uv run pytest tests/ -v -p no:logfire                                  # Run all tests
-uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire  # Tests with terminal coverage
-uv run pytest --cov=src --cov-report=html -p no:logfire                # Generate HTML coverage report (opens htmlcov/index.html)
-
-# Documentation Commands
-uv run mkdocs build                # Build documentation
-uv run mkdocs serve                # Serve documentation locally (http://127.0.0.1:8000)
-```
-
-### Test Markers
-
-The project uses pytest markers to categorize tests. See [Testing Guidelines](docs/contributing/testing.md) for details:
-
-- `unit`: Unit tests (mocked, fast)
-- `integration`: Integration tests (real APIs)
-- `slow`: Slow tests
-- `openai`: Tests requiring OpenAI API key
-- `huggingface`: Tests requiring HuggingFace API key
-- `embedding_provider`: Tests requiring API-based embedding providers
-- `local_embeddings`: Tests using local embeddings
-
-**Note**: The `-p no:logfire` flag disables the logfire plugin to avoid conflicts during testing.
-
-## Code Style & Conventions
-
-### Type Safety
-
-- **ALWAYS** use type hints for all function parameters and return types
-- Use `mypy --strict` compliance (no `Any` unless absolutely necessary)
-- Use `TYPE_CHECKING` imports for circular dependencies:
-
-<!--codeinclude-->
-[TYPE_CHECKING Import Pattern](../src/utils/citation_validator.py) start_line:8 end_line:11
-<!--/codeinclude-->
-
-### Pydantic Models
-
-- All data exchange uses Pydantic models (`src/utils/models.py`)
-- Models are frozen (`model_config = {"frozen": True}`) for immutability
-- Use `Field()` with descriptions for all model fields
-- Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints
-
-### Async Patterns
-
-- **ALL** I/O operations must be async (`async def`, `await`)
-- Use `asyncio.gather()` for parallel operations
-- CPU-bound work (embeddings, parsing) must use `run_in_executor()`:
-
-```python
-loop = asyncio.get_running_loop()
-result = await loop.run_in_executor(None, cpu_bound_function, args)
-```
-
-- Never block the event loop with synchronous I/O
-
-### Linting
-
-- Ruff with 100-char line length
-- Ignore rules documented in `pyproject.toml`:
-  - `PLR0913`: Too many arguments (agents need many params)
-  - `PLR0912`: Too many branches (complex orchestrator logic)
-  - `PLR0911`: Too many return statements (complex agent logic)
-  - `PLR2004`: Magic values (statistical constants)
-  - `PLW0603`: Global statement (singleton pattern)
-  - `PLC0415`: Lazy imports for optional dependencies
-
-### Pre-commit
-
-- Pre-commit hooks run automatically on commit
-- Must pass: lint + typecheck + test-cov
-- Install hooks with: `uv run pre-commit install`
-- Note: `uv sync --all-extras` installs the pre-commit package, but you must run `uv run pre-commit install` separately to set up the git hooks
-
-## Error Handling & Logging
-
-### Exception Hierarchy
-
-Use custom exception hierarchy (`src/utils/exceptions.py`):
-
-<!--codeinclude-->
-[Exception Hierarchy](../src/utils/exceptions.py) start_line:4 end_line:31
-<!--/codeinclude-->
-
-### Error Handling Rules
-
-- Always chain exceptions: `raise SearchError(...) from e`
-- Log errors with context using `structlog`:
-
-```python
-logger.error("Operation failed", error=str(e), context=value)
-```
-
-- Never silently swallow exceptions
-- Provide actionable error messages
-
-### Logging
-
-- Use `structlog` for all logging (NOT `print` or `logging`)
-- Import: `import structlog; logger = structlog.get_logger()`
-- Log with structured data: `logger.info("event", key=value)`
-- Use appropriate levels: DEBUG, INFO, WARNING, ERROR
-
-### Logging Examples
-
-```python
-logger.info("Starting search", query=query, tools=[t.name for t in tools])
-logger.warning("Search tool failed", tool=tool.name, error=str(result))
-logger.error("Assessment failed", error=str(e))
-```
-
-### Error Chaining
-
-Always preserve exception context:
-
-```python
-try:
-    result = await api_call()
-except httpx.HTTPError as e:
-    raise SearchError(f"API call failed: {e}") from e
-```
-
-## Testing Requirements
-
-### Test Structure
-
-- Unit tests in `tests/unit/` (mocked, fast)
-- Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`)
-- Use markers: `unit`, `integration`, `slow`
-
-### Mocking
-
-- Use `respx` for httpx mocking
-- Use `pytest-mock` for general mocking
-- Mock LLM calls in unit tests (use `MockJudgeHandler`)
-- Fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`
-
-### TDD Workflow
-
-1. Write failing test in `tests/unit/`
-2. Implement in `src/`
-3. Ensure test passes
-4. Run checks: `uv run ruff check src tests && uv run mypy src && uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire`
-
-### Test Examples
-
-```python
-@pytest.mark.unit
-async def test_pubmed_search(mock_httpx_client):
-    tool = PubMedTool()
-    results = await tool.search("metformin", max_results=5)
-    assert len(results) > 0
-    assert all(isinstance(r, Evidence) for r in results)
-
-@pytest.mark.integration
-async def test_real_pubmed_search():
-    tool = PubMedTool()
-    results = await tool.search("metformin", max_results=3)
-    assert len(results) <= 3
-```
-
-### Test Coverage
-
-- Run `uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire` for coverage report
-- Run `uv run pytest --cov=src --cov-report=html -p no:logfire` for HTML coverage report (opens `htmlcov/index.html`)
-- Aim for >80% coverage on critical paths
-- Exclude: `__init__.py`, `TYPE_CHECKING` blocks
-
-## Implementation Patterns
-
-### Search Tools
-
-All tools implement `SearchTool` protocol (`src/tools/base.py`):
-
-- Must have `name` property
-- Must implement `async def search(query, max_results) -> list[Evidence]`
-- Use `@retry` decorator from tenacity for resilience
-- Rate limiting: Implement `_rate_limit()` for APIs with limits (e.g., PubMed)
-- Error handling: Raise `SearchError` or `RateLimitError` on failures
-
-Example pattern:
-
-```python
-class MySearchTool:
-    @property
-    def name(self) -> str:
-        return "mytool"
-    
-    @retry(stop=stop_after_attempt(3), wait=wait_exponential(...))
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        # Implementation
-        return evidence_list
-```
-
-### Judge Handlers
-
-- Implement `JudgeHandlerProtocol` (`async def assess(question, evidence) -> JudgeAssessment`)
-- Use pydantic-ai `Agent` with `output_type=JudgeAssessment`
-- System prompts in `src/prompts/judge.py`
-- Support fallback handlers: `MockJudgeHandler`, `HFInferenceJudgeHandler`
-- Always return valid `JudgeAssessment` (never raise exceptions)
-
-### Agent Factory Pattern
-
-- Use factory functions for creating agents (`src/agent_factory/`)
-- Lazy initialization for optional dependencies (e.g., embeddings, Modal)
-- Check requirements before initialization:
-
-<!--codeinclude-->
-[Check Magentic Requirements](../src/utils/llm_factory.py) start_line:152 end_line:170
-<!--/codeinclude-->
-
-### State Management
-
-- **Magentic Mode**: Use `ContextVar` for thread-safe state (`src/agents/state.py`)
-- **Simple Mode**: Pass state via function parameters
-- Never use global mutable state (except singletons via `@lru_cache`)
-
-### Singleton Pattern
-
-Use `@lru_cache(maxsize=1)` for singletons:
-
-<!--codeinclude-->
-[Singleton Pattern Example](../src/services/statistical_analyzer.py) start_line:252 end_line:255
-<!--/codeinclude-->
-
-- Lazy initialization to avoid requiring dependencies at import time
-
-## Code Quality & Documentation
-
-### Docstrings
-
-- Google-style docstrings for all public functions
-- Include Args, Returns, Raises sections
-- Use type hints in docstrings only if needed for clarity
-
-Example:
-
-<!--codeinclude-->
-[Search Method Docstring Example](../src/tools/pubmed.py) start_line:51 end_line:58
-<!--/codeinclude-->
-
-### Code Comments
-
-- Explain WHY, not WHAT
-- Document non-obvious patterns (e.g., why `requests` not `httpx` for ClinicalTrials)
-- Mark critical sections: `# CRITICAL: ...`
-- Document rate limiting rationale
-- Explain async patterns when non-obvious
-
-## Prompt Engineering & Citation Validation
-
-### Judge Prompts
-
-- System prompt in `src/prompts/judge.py`
-- Format evidence with truncation (1500 chars per item)
-- Handle empty evidence case separately
-- Always request structured JSON output
-- Use `format_user_prompt()` and `format_empty_evidence_prompt()` helpers
-
-### Hypothesis Prompts
-
-- Use diverse evidence selection (MMR algorithm)
-- Sentence-aware truncation (`truncate_at_sentence()`)
-- Format: Drug → Target → Pathway → Effect
-- System prompt emphasizes mechanistic reasoning
-- Use `format_hypothesis_prompt()` with embeddings for diversity
-
-### Report Prompts
-
-- Include full citation details for validation
-- Use diverse evidence selection (n=20)
-- **CRITICAL**: Emphasize citation validation rules
-- Format hypotheses with support/contradiction counts
-- System prompt includes explicit JSON structure requirements
-
-### Citation Validation
-
-- **ALWAYS** validate references before returning reports
-- Use `validate_references()` from `src/utils/citation_validator.py`
-- Remove hallucinated citations (URLs not in evidence)
-- Log warnings for removed citations
-- Never trust LLM-generated citations without validation
-
-### Citation Validation Rules
-
-1. Every reference URL must EXACTLY match a provided evidence URL
-2. Do NOT invent, fabricate, or hallucinate any references
-3. Do NOT modify paper titles, authors, dates, or URLs
-4. If unsure about a citation, OMIT it rather than guess
-5. Copy URLs exactly as provided - do not create similar-looking URLs
-
-### Evidence Selection
-
-- Use `select_diverse_evidence()` for MMR-based selection
-- Balance relevance vs diversity (lambda=0.7 default)
-- Sentence-aware truncation preserves meaning
-- Limit evidence per prompt to avoid context overflow
-
-## MCP Integration
-
-### MCP Tools
-
-- Functions in `src/mcp_tools.py` for Claude Desktop
-- Full type hints required
-- Google-style docstrings with Args/Returns sections
-- Formatted string returns (markdown)
-
-### Gradio MCP Server
-
-- Enable with `mcp_server=True` in `demo.launch()`
-- Endpoint: `/gradio_api/mcp/`
-- Use `ssr_mode=False` to fix hydration issues in HF Spaces
-
-## Common Pitfalls
-
-1. **Blocking the event loop**: Never use sync I/O in async functions
-2. **Missing type hints**: All functions must have complete type annotations
-3. **Hallucinated citations**: Always validate references
-4. **Global mutable state**: Use ContextVar or pass via parameters
-5. **Import errors**: Lazy-load optional dependencies (magentic, modal, embeddings)
-6. **Rate limiting**: Always implement for external APIs
-7. **Error chaining**: Always use `from e` when raising exceptions
-
-## Key Principles
-
-1. **Type Safety First**: All code must pass `mypy --strict`
-2. **Async Everything**: All I/O must be async
-3. **Test-Driven**: Write tests before implementation
-4. **No Hallucinations**: Validate all citations
-5. **Graceful Degradation**: Support free tier (HF Inference) when no API keys
-6. **Lazy Loading**: Don't require optional dependencies at import time
-7. **Structured Logging**: Use structlog, never print()
-8. **Error Chaining**: Always preserve exception context
-
-## Pull Request Process
-
-1. Ensure all checks pass: `uv run ruff check src tests && uv run mypy src && uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire`
-2. Update documentation if needed
-3. Add tests for new features
-4. Update CHANGELOG if applicable
-5. Request review from maintainers
-6. Address review feedback
-7. Wait for approval before merging
-
-## Project Structure
-
-- `src/`: Main source code
-- `tests/`: Test files (`unit/` and `integration/`)
-- `docs/`: Documentation source files (MkDocs)
-- `examples/`: Example usage scripts
-- `pyproject.toml`: Project configuration and dependencies
-- `.pre-commit-config.yaml`: Pre-commit hook configuration
-
-## Questions?
-
-- Open an issue on [GitHub](https://github.com/DeepCritical/GradioDemo)
-- Check existing [documentation](https://deepcritical.github.io/GradioDemo/)
-- Review code examples in the codebase
-
-Thank you for contributing to The DETERMINATOR!
diff --git a/Dockerfile b/Dockerfile
deleted file mode 100644
index 9d6fc14dce9d1bdbc102a1479304490324313167..0000000000000000000000000000000000000000
--- a/Dockerfile
+++ /dev/null
@@ -1,52 +0,0 @@
-# Dockerfile for DeepCritical
-FROM python:3.11-slim
-
-# Set working directory
-WORKDIR /app
-
-# Install system dependencies (curl needed for HEALTHCHECK)
-RUN apt-get update && apt-get install -y \
-    git \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Install uv
-RUN pip install uv==0.5.4
-
-# Copy project files
-COPY pyproject.toml .
-COPY uv.lock .
-COPY src/ src/
-COPY README.md .
-
-# Install runtime dependencies only (no dev/test tools)
-RUN uv sync --frozen --no-dev --extra embeddings --extra magentic
-
-# Create non-root user BEFORE downloading models
-RUN useradd --create-home --shell /bin/bash appuser
-
-# Set cache directory for HuggingFace models (must be writable by appuser)
-ENV HF_HOME=/app/.cache
-ENV TRANSFORMERS_CACHE=/app/.cache
-
-# Create cache dir with correct ownership
-RUN mkdir -p /app/.cache && chown -R appuser:appuser /app/.cache
-
-# Pre-download the embedding model during build (as appuser to set correct ownership)
-USER appuser
-RUN uv run python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
-
-# Expose port
-EXPOSE 7860
-
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:7860/ || exit 1
-
-# Set environment variables
-ENV GRADIO_SERVER_NAME=0.0.0.0
-ENV GRADIO_SERVER_PORT=7860
-ENV PYTHONPATH=/app
-
-# Run the app
-CMD ["uv", "run", "python", "-m", "src.app"]
diff --git a/LICENSE.md b/LICENSE.md
deleted file mode 100644
index a1f9be9c2733fb22fc43dfc4e5f23c62dbfb02ad..0000000000000000000000000000000000000000
--- a/LICENSE.md
+++ /dev/null
@@ -1,25 +0,0 @@
-# License
-
-DeepCritical is licensed under the MIT License.
-
-## MIT License
-
-Copyright (c) 2024 DeepCritical Team
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
diff --git a/README.md b/README.md
index a4c0e90eae994942af1b1ea0f5cdfe967a29b8f5..e4c9a9698223d89be48e808d1f511cc4a2182141 100644
--- a/README.md
+++ b/README.md
@@ -1,63 +1,15 @@
 ---
-title: The DETERMINATOR
-emoji: 🐉
-colorFrom: red
-colorTo: yellow
+title: DeepCritical
+emoji: 📈
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: "6.0.1"
-python_version: "3.11"
+sdk_version: 6.0.0
 app_file: src/app.py
-hf_oauth: true
-hf_oauth_expiration_minutes: 480
-hf_oauth_scopes:
-  # Required for HuggingFace Inference API (includes all third-party providers)
-  # This scope grants access to:
-  # - HuggingFace's own Inference API
-  # - Third-party inference providers (nebius, together, scaleway, hyperbolic, novita, nscale, sambanova, ovh, fireworks, etc.)
-  # - All models available through the Inference Providers API
-  - inference-api
-  # Optional: Uncomment if you need to access user's billing information
-  # - read-billing
-pinned: true
+pinned: false
 license: mit
-tags:
-  - mcp-in-action-track-enterprise
-  - mcp-hackathon
-  - deep-research
-  - biomedical-ai
-  - pydantic-ai
-  - llamaindex
-  - modal
-  - building-mcp-track-enterprise
-  - building-mcp-track-consumer
-  - mcp-in-action-track-enterprise
-  - mcp-in-action-track-consumer
-  - building-mcp-track-modal
-  - building-mcp-track-blaxel
-  - building-mcp-track-llama-index
-  - building-mcp-track-HUGGINGFACE 
+short_description: Deep Search for Critical Research [BigData] -> [Actionable]
 ---
 
-> [!IMPORTANT]
-> **You are reading the Gradio Demo README!**
-> 
-> - 📚 **Documentation**: See our [technical documentation](https://deepcritical.github.io/GradioDemo/) for detailed information
-> - 📖 **Complete README**: Check out the [Github README](.github/README.md) for setup, configuration, and contribution guidelines
-> - ⚠️**This README is for our Gradio Demo Only !** 
+### DeepCritical 
 
-<div align="center">
-
-[![GitHub](https://img.shields.io/github/stars/DeepCritical/GradioDemo?style=for-the-badge&logo=github&logoColor=white&label=GitHub&labelColor=181717&color=181717)](https://github.com/DeepCritical/GradioDemo)
-[![Documentation](https://img.shields.io/badge/Docs-0080FF?style=for-the-badge&logo=readthedocs&logoColor=white&labelColor=0080FF&color=0080FF)](deepcritical.github.io/GradioDemo/)
-[![Demo](https://img.shields.io/badge/Demo-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white&labelColor=FFD21E&color=FFD21E)](https://huggingface.co/spaces/DataQuests/DeepCritical)
-[![codecov](https://codecov.io/gh/DeepCritical/GradioDemo/graph/badge.svg?token=B1f05RCGpz)](https://codecov.io/gh/DeepCritical/GradioDemo)
-[![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/qdfnvSPcqP) 
-
-
-</div>
-
-# The DETERMINATOR
-
-## About
-
-The DETERMINATOR is a powerful generalist deep research agent system that stops at nothing until finding precise answers to complex questions. It uses iterative search-and-judge loops to comprehensively investigate any research question from any domain.
diff --git a/deployments/README.md b/deployments/README.md
deleted file mode 100644
index 3a4f4a4d8d7a3cccf6beacd56ce135117f3ad07a..0000000000000000000000000000000000000000
--- a/deployments/README.md
+++ /dev/null
@@ -1,46 +0,0 @@
-# Deployments
-
-This directory contains infrastructure deployment scripts for DeepCritical services.
-
-## Modal Deployments
-
-### TTS Service (`modal_tts.py`)
-
-Deploys the Kokoro TTS (Text-to-Speech) function to Modal's GPU infrastructure.
-
-**Deploy:**
-```bash
-modal deploy deployments/modal_tts.py
-```
-
-**Features:**
-- Kokoro 82M TTS model
-- GPU-accelerated (T4)
-- Voice options: af_heart, af_bella, am_michael, etc.
-- Configurable speech speed
-
-**Requirements:**
-- Modal account and credentials (`MODAL_TOKEN_ID`, `MODAL_TOKEN_SECRET` in `.env`)
-- GPU quota on Modal
-
-**After Deployment:**
-The function will be available at:
-- App: `deepcritical-tts`
-- Function: `kokoro_tts_function`
-
-The main application (`src/services/tts_modal.py`) will call this deployed function.
-
----
-
-## Adding New Deployments
-
-When adding new deployment scripts:
-
-1. Create a new file: `deployments/<service_name>.py`
-2. Use Modal's app pattern:
-   ```python
-   import modal
-   app = modal.App("deepcritical-<service-name>")
-   ```
-3. Document in this README
-4. Test deployment: `modal deploy deployments/<service_name>.py`
diff --git a/deployments/modal_tts.py b/deployments/modal_tts.py
deleted file mode 100644
index 9987a339f6b89eb63cd512eb594dd6a6d488f42a..0000000000000000000000000000000000000000
--- a/deployments/modal_tts.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""Deploy Kokoro TTS function to Modal.
-
-This script deploys the TTS function to Modal so it can be called
-from the main DeepCritical application.
-
-Usage:
-    modal deploy deploy_modal_tts.py
-
-After deployment, the function will be available at:
-    App: deepcritical-tts
-    Function: kokoro_tts_function
-"""
-
-import modal
-import numpy as np
-
-# Create Modal app
-app = modal.App("deepcritical-tts")
-
-# Define Kokoro TTS dependencies
-KOKORO_DEPENDENCIES = [
-    "torch>=2.0.0",
-    "transformers>=4.30.0",
-    "numpy<2.0",
-]
-
-# Create Modal image with Kokoro
-tts_image = (
-    modal.Image.debian_slim(python_version="3.11")
-    .apt_install("git")  # Install git first for pip install from github
-    .pip_install(*KOKORO_DEPENDENCIES)
-    .pip_install("git+https://github.com/hexgrad/kokoro.git")
-)
-
-
-@app.function(
-    image=tts_image,
-    gpu="T4",
-    timeout=60,
-)
-def kokoro_tts_function(text: str, voice: str, speed: float) -> tuple[int, np.ndarray]:
-    """Modal GPU function for Kokoro TTS.
-
-    This function runs on Modal's GPU infrastructure.
-    Based on: https://huggingface.co/spaces/hexgrad/Kokoro-TTS
-
-    Args:
-        text: Text to synthesize
-        voice: Voice ID (e.g., af_heart, af_bella, am_michael)
-        speed: Speech speed multiplier (0.5-2.0)
-
-    Returns:
-        Tuple of (sample_rate, audio_array)
-    """
-    import numpy as np
-
-    try:
-        import torch
-        from kokoro import KModel, KPipeline
-
-        # Initialize model (cached on GPU)
-        model = KModel().to("cuda").eval()
-        pipeline = KPipeline(lang_code=voice[0])
-        pack = pipeline.load_voice(voice)
-
-        # Generate audio - accumulate all chunks
-        audio_chunks = []
-        for _, ps, _ in pipeline(text, voice, speed):
-            ref_s = pack[len(ps) - 1]
-            audio = model(ps, ref_s, speed)
-            audio_chunks.append(audio.numpy())
-
-        # Concatenate all audio chunks
-        if audio_chunks:
-            full_audio = np.concatenate(audio_chunks)
-            return (24000, full_audio)
-
-        # If no audio generated, return empty
-        return (24000, np.zeros(1, dtype=np.float32))
-
-    except ImportError as e:
-        raise RuntimeError(
-            f"Kokoro not installed: {e}. "
-            "Install with: pip install git+https://github.com/hexgrad/kokoro.git"
-        ) from e
-    except Exception as e:
-        raise RuntimeError(f"TTS synthesis failed: {e}") from e
-
-
-# Optional: Add a test entrypoint
-@app.local_entrypoint()
-def test():
-    """Test the TTS function."""
-    print("Testing Modal TTS function...")
-    sample_rate, audio = kokoro_tts_function.remote("Hello, this is a test.", "af_heart", 1.0)
-    print(f"Generated audio: {sample_rate}Hz, shape={audio.shape}")
-    print("✓ TTS function works!")
diff --git a/dev/.cursorrules b/dev/.cursorrules
deleted file mode 100644
index 1f295e800902da3888e751d3b615b39c75aa2f19..0000000000000000000000000000000000000000
--- a/dev/.cursorrules
+++ /dev/null
@@ -1,241 +0,0 @@
-# DeepCritical Project - Cursor Rules
-
-## Project-Wide Rules
-
-**Architecture**: Multi-agent research system using Pydantic AI for agent orchestration, supporting iterative and deep research patterns. Uses middleware for state management, budget tracking, and workflow coordination.
-
-**Type Safety**: ALWAYS use complete type hints. All functions must have parameter and return type annotations. Use `mypy --strict` compliance. Use `TYPE_CHECKING` imports for circular dependencies: `from typing import TYPE_CHECKING; if TYPE_CHECKING: from src.services.embeddings import EmbeddingService`
-
-**Async Patterns**: ALL I/O operations must be async (`async def`, `await`). Use `asyncio.gather()` for parallel operations. CPU-bound work must use `run_in_executor()`: `loop = asyncio.get_running_loop(); result = await loop.run_in_executor(None, cpu_bound_function, args)`. Never block the event loop.
-
-**Error Handling**: Use custom exceptions from `src/utils/exceptions.py`: `DeepCriticalError`, `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions: `raise SearchError(...) from e`. Log with structlog: `logger.error("Operation failed", error=str(e), context=value)`.
-
-**Logging**: Use `structlog` for ALL logging (NOT `print` or `logging`). Import: `import structlog; logger = structlog.get_logger()`. Log with structured data: `logger.info("event", key=value)`. Use appropriate levels: DEBUG, INFO, WARNING, ERROR.
-
-**Pydantic Models**: All data exchange uses Pydantic models from `src/utils/models.py`. Models are frozen (`model_config = {"frozen": True}`) for immutability. Use `Field()` with descriptions. Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints.
-
-**Code Style**: Ruff with 100-char line length. Ignore rules: `PLR0913` (too many arguments), `PLR0912` (too many branches), `PLR0911` (too many returns), `PLR2004` (magic values), `PLW0603` (global statement), `PLC0415` (lazy imports).
-
-**Docstrings**: Google-style docstrings for all public functions. Include Args, Returns, Raises sections. Use type hints in docstrings only if needed for clarity.
-
-**Testing**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`). Use `respx` for httpx mocking, `pytest-mock` for general mocking.
-
-**State Management**: Use `ContextVar` in middleware for thread-safe isolation. Never use global mutable state (except singletons via `@lru_cache`). Use `WorkflowState` from `src/middleware/state_machine.py` for workflow state.
-
-**Citation Validation**: ALWAYS validate references before returning reports. Use `validate_references()` from `src/utils/citation_validator.py`. Remove hallucinated citations. Log warnings for removed citations.
-
----
-
-## src/agents/ - Agent Implementation Rules
-
-**Pattern**: All agents use Pydantic AI `Agent` class. Agents have structured output types (Pydantic models) or return strings. Use factory functions in `src/agent_factory/agents.py` for creation.
-
-**Agent Structure**: 
-- System prompt as module-level constant (with date injection: `datetime.now().strftime("%Y-%m-%d")`)
-- Agent class with `__init__(model: Any | None = None)`
-- Main method (e.g., `async def evaluate()`, `async def write_report()`)
-- Factory function: `def create_agent_name(model: Any | None = None) -> AgentName`
-
-**Model Initialization**: Use `get_model()` from `src/agent_factory/judges.py` if no model provided. Support OpenAI/Anthropic/HF Inference via settings.
-
-**Error Handling**: Return fallback values (e.g., `KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])`) on failure. Log errors with context. Use retry logic (3 retries) in Pydantic AI Agent initialization.
-
-**Input Validation**: Validate query/inputs are not empty. Truncate very long inputs with warnings. Handle None values gracefully.
-
-**Output Types**: Use structured output types from `src/utils/models.py` (e.g., `KnowledgeGapOutput`, `AgentSelectionPlan`, `ReportDraft`). For text output (writer agents), return `str` directly.
-
-**Agent-Specific Rules**:
-- `knowledge_gap.py`: Outputs `KnowledgeGapOutput`. Evaluates research completeness.
-- `tool_selector.py`: Outputs `AgentSelectionPlan`. Selects tools (RAG/web/database).
-- `writer.py`: Returns markdown string. Includes citations in numbered format.
-- `long_writer.py`: Uses `ReportDraft` input/output. Handles section-by-section writing.
-- `proofreader.py`: Takes `ReportDraft`, returns polished markdown.
-- `thinking.py`: Returns observation string from conversation history.
-- `input_parser.py`: Outputs `ParsedQuery` with research mode detection.
-
----
-
-## src/tools/ - Search Tool Rules
-
-**Protocol**: All tools implement `SearchTool` protocol from `src/tools/base.py`: `name` property and `async def search(query, max_results) -> list[Evidence]`.
-
-**Rate Limiting**: Use `@retry` decorator from tenacity: `@retry(stop=stop_after_attempt(3), wait=wait_exponential(...))`. Implement `_rate_limit()` method for APIs with limits. Use shared rate limiters from `src/tools/rate_limiter.py`.
-
-**Error Handling**: Raise `SearchError` or `RateLimitError` on failures. Handle HTTP errors (429, 500, timeout). Return empty list on non-critical errors (log warning).
-
-**Query Preprocessing**: Use `preprocess_query()` from `src/tools/query_utils.py` to remove noise and expand synonyms.
-
-**Evidence Conversion**: Convert API responses to `Evidence` objects with `Citation`. Extract metadata (title, url, date, authors). Set relevance scores (0.0-1.0). Handle missing fields gracefully.
-
-**Tool-Specific Rules**:
-- `pubmed.py`: Use NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Parse XML with `xmltodict`. Handle single vs. multiple articles.
-- `clinicaltrials.py`: Use `requests` library (NOT httpx - WAF blocks httpx). Run in thread pool: `await asyncio.to_thread(requests.get, ...)`. Filter: Only interventional studies, active/completed.
-- `europepmc.py`: Handle preprint markers: `[PREPRINT - Not peer-reviewed]`. Build URLs from DOI or PMID.
-- `rag_tool.py`: Wraps `LlamaIndexRAGService`. Returns Evidence from RAG results. Handles ingestion.
-- `search_handler.py`: Orchestrates parallel searches across multiple tools. Uses `asyncio.gather()` with `return_exceptions=True`. Aggregates results into `SearchResult`.
-
----
-
-## src/middleware/ - Middleware Rules
-
-**State Management**: Use `ContextVar` for thread-safe isolation. `WorkflowState` uses `ContextVar[WorkflowState | None]`. Initialize with `init_workflow_state(embedding_service)`. Access with `get_workflow_state()` (auto-initializes if missing).
-
-**WorkflowState**: Tracks `evidence: list[Evidence]`, `conversation: Conversation`, `embedding_service: Any`. Methods: `add_evidence()` (deduplicates by URL), `async search_related()` (semantic search).
-
-**WorkflowManager**: Manages parallel research loops. Methods: `add_loop()`, `run_loops_parallel()`, `update_loop_status()`, `sync_loop_evidence_to_state()`. Uses `asyncio.gather()` for parallel execution. Handles errors per loop (don't fail all if one fails).
-
-**BudgetTracker**: Tracks tokens, time, iterations per loop and globally. Methods: `create_budget()`, `add_tokens()`, `start_timer()`, `update_timer()`, `increment_iteration()`, `check_budget()`, `can_continue()`. Token estimation: `estimate_tokens(text)` (~4 chars per token), `estimate_llm_call_tokens(prompt, response)`.
-
-**Models**: All middleware models in `src/utils/models.py`. `IterationData`, `Conversation`, `ResearchLoop`, `BudgetStatus` are used by middleware.
-
----
-
-## src/orchestrator/ - Orchestration Rules
-
-**Research Flows**: Two patterns: `IterativeResearchFlow` (single loop) and `DeepResearchFlow` (plan → parallel loops → synthesis). Both support agent chains (`use_graph=False`) and graph execution (`use_graph=True`).
-
-**IterativeResearchFlow**: Pattern: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete. Uses `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`, `WriterAgent`, `JudgeHandler`. Tracks iterations, time, budget.
-
-**DeepResearchFlow**: Pattern: Planner → Parallel iterative loops per section → Synthesizer. Uses `PlannerAgent`, `IterativeResearchFlow` (per section), `LongWriterAgent` or `ProofreaderAgent`. Uses `WorkflowManager` for parallel execution.
-
-**Graph Orchestrator**: Uses Pydantic AI Graphs (when available) or agent chains (fallback). Routes based on research mode (iterative/deep/auto). Streams `AgentEvent` objects for UI.
-
-**State Initialization**: Always call `init_workflow_state()` before running flows. Initialize `BudgetTracker` per loop. Use `WorkflowManager` for parallel coordination.
-
-**Event Streaming**: Yield `AgentEvent` objects during execution. Event types: "started", "search_complete", "judge_complete", "hypothesizing", "synthesizing", "complete", "error". Include iteration numbers and data payloads.
-
----
-
-## src/services/ - Service Rules
-
-**EmbeddingService**: Local sentence-transformers (NO API key required). All operations async-safe via `run_in_executor()`. ChromaDB for vector storage. Deduplication threshold: 0.85 (85% similarity = duplicate).
-
-**LlamaIndexRAGService**: Uses OpenAI embeddings (requires `OPENAI_API_KEY`). Methods: `ingest_evidence()`, `retrieve()`, `query()`. Returns documents with metadata (source, title, url, date, authors). Lazy initialization with graceful fallback.
-
-**StatisticalAnalyzer**: Generates Python code via LLM. Executes in Modal sandbox (secure, isolated). Library versions pinned in `SANDBOX_LIBRARIES` dict. Returns `AnalysisResult` with verdict (SUPPORTED/REFUTED/INCONCLUSIVE).
-
-**Singleton Pattern**: Use `@lru_cache(maxsize=1)` for singletons: `@lru_cache(maxsize=1); def get_service() -> Service: return Service()`. Lazy initialization to avoid requiring dependencies at import time.
-
----
-
-## src/utils/ - Utility Rules
-
-**Models**: All Pydantic models in `src/utils/models.py`. Use frozen models (`model_config = {"frozen": True}`) except where mutation needed. Use `Field()` with descriptions. Validate with constraints.
-
-**Config**: Settings via Pydantic Settings (`src/utils/config.py`). Load from `.env` automatically. Use `settings` singleton: `from src.utils.config import settings`. Validate API keys with properties: `has_openai_key`, `has_anthropic_key`.
-
-**Exceptions**: Custom exception hierarchy in `src/utils/exceptions.py`. Base: `DeepCriticalError`. Specific: `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions.
-
-**LLM Factory**: Centralized LLM model creation in `src/utils/llm_factory.py`. Supports OpenAI, Anthropic, HF Inference. Use `get_model()` or factory functions. Check requirements before initialization.
-
-**Citation Validator**: Use `validate_references()` from `src/utils/citation_validator.py`. Removes hallucinated citations (URLs not in evidence). Logs warnings. Returns validated report string.
-
----
-
-## src/orchestrator_factory.py Rules
-
-**Purpose**: Factory for creating orchestrators. Supports "simple" (legacy) and "advanced" (magentic) modes. Auto-detects mode based on API key availability.
-
-**Pattern**: Lazy import for optional dependencies (`_get_magentic_orchestrator_class()`). Handles `ImportError` gracefully with clear error messages.
-
-**Mode Detection**: `_determine_mode()` checks explicit mode or auto-detects: "advanced" if `settings.has_openai_key`, else "simple". Maps "magentic" → "advanced".
-
-**Function Signature**: `create_orchestrator(search_handler, judge_handler, config, mode) -> Any`. Simple mode requires handlers. Advanced mode uses MagenticOrchestrator.
-
-**Error Handling**: Raise `ValueError` with clear messages if requirements not met. Log mode selection with structlog.
-
----
-
-## src/orchestrator_hierarchical.py Rules
-
-**Purpose**: Hierarchical orchestrator using middleware and sub-teams. Adapts Magentic ChatAgent to SubIterationTeam protocol.
-
-**Pattern**: Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`. Event-driven via callback queue.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated, but kept for compatibility).
-
-**Event Streaming**: Uses `asyncio.Queue` for event coordination. Yields `AgentEvent` objects. Handles event callback pattern with `asyncio.wait()`.
-
-**Error Handling**: Log errors with context. Yield error events. Process remaining events after task completion.
-
----
-
-## src/orchestrator_magentic.py Rules
-
-**Purpose**: Magentic-based orchestrator using ChatAgent pattern. Each agent has internal LLM. Manager orchestrates agents.
-
-**Pattern**: Uses `MagenticBuilder` with participants (searcher, hypothesizer, judge, reporter). Manager uses `OpenAIChatClient`. Workflow built in `_build_workflow()`.
-
-**Event Processing**: `_process_event()` converts Magentic events to `AgentEvent`. Handles: `MagenticOrchestratorMessageEvent`, `MagenticAgentMessageEvent`, `MagenticFinalResultEvent`, `MagenticAgentDeltaEvent`, `WorkflowOutputEvent`.
-
-**Text Extraction**: `_extract_text()` defensively extracts text from messages. Priority: `.content` → `.text` → `str(message)`. Handles buggy message objects.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated).
-
-**Requirements**: Must call `check_magentic_requirements()` in `__init__`. Requires `agent-framework-core` and OpenAI API key.
-
-**Event Types**: Maps agent names to event types: "search" → "search_complete", "judge" → "judge_complete", "hypothes" → "hypothesizing", "report" → "synthesizing".
-
----
-
-## src/agent_factory/ - Factory Rules
-
-**Pattern**: Factory functions for creating agents and handlers. Lazy initialization for optional dependencies. Support OpenAI/Anthropic/HF Inference.
-
-**Judges**: `create_judge_handler()` creates `JudgeHandler` with structured output (`JudgeAssessment`). Supports `MockJudgeHandler`, `HFInferenceJudgeHandler` as fallbacks.
-
-**Agents**: Factory functions in `agents.py` for all Pydantic AI agents. Pattern: `create_agent_name(model: Any | None = None) -> AgentName`. Use `get_model()` if model not provided.
-
-**Graph Builder**: `graph_builder.py` contains utilities for building research graphs. Supports iterative and deep research graph construction.
-
-**Error Handling**: Raise `ConfigurationError` if required API keys missing. Log agent creation. Handle import errors gracefully.
-
----
-
-## src/prompts/ - Prompt Rules
-
-**Pattern**: System prompts stored as module-level constants. Include date injection: `datetime.now().strftime("%Y-%m-%d")`. Format evidence with truncation (1500 chars per item).
-
-**Judge Prompts**: In `judge.py`. Handle empty evidence case separately. Always request structured JSON output.
-
-**Hypothesis Prompts**: In `hypothesis.py`. Use diverse evidence selection (MMR algorithm). Sentence-aware truncation.
-
-**Report Prompts**: In `report.py`. Include full citation details. Use diverse evidence selection (n=20). Emphasize citation validation rules.
-
----
-
-## Testing Rules
-
-**Structure**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`).
-
-**Mocking**: Use `respx` for httpx mocking. Use `pytest-mock` for general mocking. Mock LLM calls in unit tests (use `MockJudgeHandler`).
-
-**Fixtures**: Common fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`.
-
-**Coverage**: Aim for >80% coverage. Test error handling, edge cases, and integration paths.
-
----
-
-## File-Specific Agent Rules
-
-**knowledge_gap.py**: Outputs `KnowledgeGapOutput`. System prompt evaluates research completeness. Handles conversation history. Returns fallback on error.
-
-**writer.py**: Returns markdown string. System prompt includes citation format examples. Validates inputs. Truncates long findings. Retry logic for transient failures.
-
-**long_writer.py**: Uses `ReportDraft` input/output. Writes sections iteratively. Reformats references (deduplicates, renumbers). Reformats section headings.
-
-**proofreader.py**: Takes `ReportDraft`, returns polished markdown. Removes duplicates. Adds summary. Preserves references.
-
-**tool_selector.py**: Outputs `AgentSelectionPlan`. System prompt lists available agents (WebSearchAgent, SiteCrawlerAgent, RAGAgent). Guidelines for when to use each.
-
-**thinking.py**: Returns observation string. Generates observations from conversation history. Uses query and background context.
-
-**input_parser.py**: Outputs `ParsedQuery`. Detects research mode (iterative/deep). Extracts entities and research questions. Improves/refines query.
-
-
-
-
-
-
-
-
diff --git a/dev/AGENTS.txt b/dev/AGENTS.txt
deleted file mode 100644
index 24cb3ed4b8ac8cd3c519cbe24b640faaac1217bd..0000000000000000000000000000000000000000
--- a/dev/AGENTS.txt
+++ /dev/null
@@ -1,236 +0,0 @@
-# DeepCritical Project - Rules
-
-## Project-Wide Rules
-
-**Architecture**: Multi-agent research system using Pydantic AI for agent orchestration, supporting iterative and deep research patterns. Uses middleware for state management, budget tracking, and workflow coordination.
-
-**Type Safety**: ALWAYS use complete type hints. All functions must have parameter and return type annotations. Use `mypy --strict` compliance. Use `TYPE_CHECKING` imports for circular dependencies: `from typing import TYPE_CHECKING; if TYPE_CHECKING: from src.services.embeddings import EmbeddingService`
-
-**Async Patterns**: ALL I/O operations must be async (`async def`, `await`). Use `asyncio.gather()` for parallel operations. CPU-bound work must use `run_in_executor()`: `loop = asyncio.get_running_loop(); result = await loop.run_in_executor(None, cpu_bound_function, args)`. Never block the event loop.
-
-**Error Handling**: Use custom exceptions from `src/utils/exceptions.py`: `DeepCriticalError`, `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions: `raise SearchError(...) from e`. Log with structlog: `logger.error("Operation failed", error=str(e), context=value)`.
-
-**Logging**: Use `structlog` for ALL logging (NOT `print` or `logging`). Import: `import structlog; logger = structlog.get_logger()`. Log with structured data: `logger.info("event", key=value)`. Use appropriate levels: DEBUG, INFO, WARNING, ERROR.
-
-**Pydantic Models**: All data exchange uses Pydantic models from `src/utils/models.py`. Models are frozen (`model_config = {"frozen": True}`) for immutability. Use `Field()` with descriptions. Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints.
-
-**Code Style**: Ruff with 100-char line length. Ignore rules: `PLR0913` (too many arguments), `PLR0912` (too many branches), `PLR0911` (too many returns), `PLR2004` (magic values), `PLW0603` (global statement), `PLC0415` (lazy imports).
-
-**Docstrings**: Google-style docstrings for all public functions. Include Args, Returns, Raises sections. Use type hints in docstrings only if needed for clarity.
-
-**Testing**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`). Use `respx` for httpx mocking, `pytest-mock` for general mocking.
-
-**State Management**: Use `ContextVar` in middleware for thread-safe isolation. Never use global mutable state (except singletons via `@lru_cache`). Use `WorkflowState` from `src/middleware/state_machine.py` for workflow state.
-
-**Citation Validation**: ALWAYS validate references before returning reports. Use `validate_references()` from `src/utils/citation_validator.py`. Remove hallucinated citations. Log warnings for removed citations.
-
----
-
-## src/agents/ - Agent Implementation Rules
-
-**Pattern**: All agents use Pydantic AI `Agent` class. Agents have structured output types (Pydantic models) or return strings. Use factory functions in `src/agent_factory/agents.py` for creation.
-
-**Agent Structure**: 
-- System prompt as module-level constant (with date injection: `datetime.now().strftime("%Y-%m-%d")`)
-- Agent class with `__init__(model: Any | None = None)`
-- Main method (e.g., `async def evaluate()`, `async def write_report()`)
-- Factory function: `def create_agent_name(model: Any | None = None) -> AgentName`
-
-**Model Initialization**: Use `get_model()` from `src/agent_factory/judges.py` if no model provided. Support OpenAI/Anthropic/HF Inference via settings.
-
-**Error Handling**: Return fallback values (e.g., `KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])`) on failure. Log errors with context. Use retry logic (3 retries) in Pydantic AI Agent initialization.
-
-**Input Validation**: Validate query/inputs are not empty. Truncate very long inputs with warnings. Handle None values gracefully.
-
-**Output Types**: Use structured output types from `src/utils/models.py` (e.g., `KnowledgeGapOutput`, `AgentSelectionPlan`, `ReportDraft`). For text output (writer agents), return `str` directly.
-
-**Agent-Specific Rules**:
-- `knowledge_gap.py`: Outputs `KnowledgeGapOutput`. Evaluates research completeness.
-- `tool_selector.py`: Outputs `AgentSelectionPlan`. Selects tools (RAG/web/database).
-- `writer.py`: Returns markdown string. Includes citations in numbered format.
-- `long_writer.py`: Uses `ReportDraft` input/output. Handles section-by-section writing.
-- `proofreader.py`: Takes `ReportDraft`, returns polished markdown.
-- `thinking.py`: Returns observation string from conversation history.
-- `input_parser.py`: Outputs `ParsedQuery` with research mode detection.
-
----
-
-## src/tools/ - Search Tool Rules
-
-**Protocol**: All tools implement `SearchTool` protocol from `src/tools/base.py`: `name` property and `async def search(query, max_results) -> list[Evidence]`.
-
-**Rate Limiting**: Use `@retry` decorator from tenacity: `@retry(stop=stop_after_attempt(3), wait=wait_exponential(...))`. Implement `_rate_limit()` method for APIs with limits. Use shared rate limiters from `src/tools/rate_limiter.py`.
-
-**Error Handling**: Raise `SearchError` or `RateLimitError` on failures. Handle HTTP errors (429, 500, timeout). Return empty list on non-critical errors (log warning).
-
-**Query Preprocessing**: Use `preprocess_query()` from `src/tools/query_utils.py` to remove noise and expand synonyms.
-
-**Evidence Conversion**: Convert API responses to `Evidence` objects with `Citation`. Extract metadata (title, url, date, authors). Set relevance scores (0.0-1.0). Handle missing fields gracefully.
-
-**Tool-Specific Rules**:
-- `pubmed.py`: Use NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Parse XML with `xmltodict`. Handle single vs. multiple articles.
-- `clinicaltrials.py`: Use `requests` library (NOT httpx - WAF blocks httpx). Run in thread pool: `await asyncio.to_thread(requests.get, ...)`. Filter: Only interventional studies, active/completed.
-- `europepmc.py`: Handle preprint markers: `[PREPRINT - Not peer-reviewed]`. Build URLs from DOI or PMID.
-- `rag_tool.py`: Wraps `LlamaIndexRAGService`. Returns Evidence from RAG results. Handles ingestion.
-- `search_handler.py`: Orchestrates parallel searches across multiple tools. Uses `asyncio.gather()` with `return_exceptions=True`. Aggregates results into `SearchResult`.
-
----
-
-## src/middleware/ - Middleware Rules
-
-**State Management**: Use `ContextVar` for thread-safe isolation. `WorkflowState` uses `ContextVar[WorkflowState | None]`. Initialize with `init_workflow_state(embedding_service)`. Access with `get_workflow_state()` (auto-initializes if missing).
-
-**WorkflowState**: Tracks `evidence: list[Evidence]`, `conversation: Conversation`, `embedding_service: Any`. Methods: `add_evidence()` (deduplicates by URL), `async search_related()` (semantic search).
-
-**WorkflowManager**: Manages parallel research loops. Methods: `add_loop()`, `run_loops_parallel()`, `update_loop_status()`, `sync_loop_evidence_to_state()`. Uses `asyncio.gather()` for parallel execution. Handles errors per loop (don't fail all if one fails).
-
-**BudgetTracker**: Tracks tokens, time, iterations per loop and globally. Methods: `create_budget()`, `add_tokens()`, `start_timer()`, `update_timer()`, `increment_iteration()`, `check_budget()`, `can_continue()`. Token estimation: `estimate_tokens(text)` (~4 chars per token), `estimate_llm_call_tokens(prompt, response)`.
-
-**Models**: All middleware models in `src/utils/models.py`. `IterationData`, `Conversation`, `ResearchLoop`, `BudgetStatus` are used by middleware.
-
----
-
-## src/orchestrator/ - Orchestration Rules
-
-**Research Flows**: Two patterns: `IterativeResearchFlow` (single loop) and `DeepResearchFlow` (plan → parallel loops → synthesis). Both support agent chains (`use_graph=False`) and graph execution (`use_graph=True`).
-
-**IterativeResearchFlow**: Pattern: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete. Uses `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`, `WriterAgent`, `JudgeHandler`. Tracks iterations, time, budget.
-
-**DeepResearchFlow**: Pattern: Planner → Parallel iterative loops per section → Synthesizer. Uses `PlannerAgent`, `IterativeResearchFlow` (per section), `LongWriterAgent` or `ProofreaderAgent`. Uses `WorkflowManager` for parallel execution.
-
-**Graph Orchestrator**: Uses Pydantic AI Graphs (when available) or agent chains (fallback). Routes based on research mode (iterative/deep/auto). Streams `AgentEvent` objects for UI.
-
-**State Initialization**: Always call `init_workflow_state()` before running flows. Initialize `BudgetTracker` per loop. Use `WorkflowManager` for parallel coordination.
-
-**Event Streaming**: Yield `AgentEvent` objects during execution. Event types: "started", "search_complete", "judge_complete", "hypothesizing", "synthesizing", "complete", "error". Include iteration numbers and data payloads.
-
----
-
-## src/services/ - Service Rules
-
-**EmbeddingService**: Local sentence-transformers (NO API key required). All operations async-safe via `run_in_executor()`. ChromaDB for vector storage. Deduplication threshold: 0.85 (85% similarity = duplicate).
-
-**LlamaIndexRAGService**: Uses OpenAI embeddings (requires `OPENAI_API_KEY`). Methods: `ingest_evidence()`, `retrieve()`, `query()`. Returns documents with metadata (source, title, url, date, authors). Lazy initialization with graceful fallback.
-
-**StatisticalAnalyzer**: Generates Python code via LLM. Executes in Modal sandbox (secure, isolated). Library versions pinned in `SANDBOX_LIBRARIES` dict. Returns `AnalysisResult` with verdict (SUPPORTED/REFUTED/INCONCLUSIVE).
-
-**Singleton Pattern**: Use `@lru_cache(maxsize=1)` for singletons: `@lru_cache(maxsize=1); def get_service() -> Service: return Service()`. Lazy initialization to avoid requiring dependencies at import time.
-
----
-
-## src/utils/ - Utility Rules
-
-**Models**: All Pydantic models in `src/utils/models.py`. Use frozen models (`model_config = {"frozen": True}`) except where mutation needed. Use `Field()` with descriptions. Validate with constraints.
-
-**Config**: Settings via Pydantic Settings (`src/utils/config.py`). Load from `.env` automatically. Use `settings` singleton: `from src.utils.config import settings`. Validate API keys with properties: `has_openai_key`, `has_anthropic_key`.
-
-**Exceptions**: Custom exception hierarchy in `src/utils/exceptions.py`. Base: `DeepCriticalError`. Specific: `SearchError`, `RateLimitError`, `JudgeError`, `ConfigurationError`. Always chain exceptions.
-
-**LLM Factory**: Centralized LLM model creation in `src/utils/llm_factory.py`. Supports OpenAI, Anthropic, HF Inference. Use `get_model()` or factory functions. Check requirements before initialization.
-
-**Citation Validator**: Use `validate_references()` from `src/utils/citation_validator.py`. Removes hallucinated citations (URLs not in evidence). Logs warnings. Returns validated report string.
-
----
-
-## src/orchestrator_factory.py Rules
-
-**Purpose**: Factory for creating orchestrators. Supports "simple" (legacy) and "advanced" (magentic) modes. Auto-detects mode based on API key availability.
-
-**Pattern**: Lazy import for optional dependencies (`_get_magentic_orchestrator_class()`). Handles `ImportError` gracefully with clear error messages.
-
-**Mode Detection**: `_determine_mode()` checks explicit mode or auto-detects: "advanced" if `settings.has_openai_key`, else "simple". Maps "magentic" → "advanced".
-
-**Function Signature**: `create_orchestrator(search_handler, judge_handler, config, mode) -> Any`. Simple mode requires handlers. Advanced mode uses MagenticOrchestrator.
-
-**Error Handling**: Raise `ValueError` with clear messages if requirements not met. Log mode selection with structlog.
-
----
-
-## src/orchestrator_hierarchical.py Rules
-
-**Purpose**: Hierarchical orchestrator using middleware and sub-teams. Adapts Magentic ChatAgent to SubIterationTeam protocol.
-
-**Pattern**: Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`. Event-driven via callback queue.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated, but kept for compatibility).
-
-**Event Streaming**: Uses `asyncio.Queue` for event coordination. Yields `AgentEvent` objects. Handles event callback pattern with `asyncio.wait()`.
-
-**Error Handling**: Log errors with context. Yield error events. Process remaining events after task completion.
-
----
-
-## src/orchestrator_magentic.py Rules
-
-**Purpose**: Magentic-based orchestrator using ChatAgent pattern. Each agent has internal LLM. Manager orchestrates agents.
-
-**Pattern**: Uses `MagenticBuilder` with participants (searcher, hypothesizer, judge, reporter). Manager uses `OpenAIChatClient`. Workflow built in `_build_workflow()`.
-
-**Event Processing**: `_process_event()` converts Magentic events to `AgentEvent`. Handles: `MagenticOrchestratorMessageEvent`, `MagenticAgentMessageEvent`, `MagenticFinalResultEvent`, `MagenticAgentDeltaEvent`, `WorkflowOutputEvent`.
-
-**Text Extraction**: `_extract_text()` defensively extracts text from messages. Priority: `.content` → `.text` → `str(message)`. Handles buggy message objects.
-
-**State Initialization**: Initialize embedding service with graceful fallback. Use `init_magentic_state()` (deprecated).
-
-**Requirements**: Must call `check_magentic_requirements()` in `__init__`. Requires `agent-framework-core` and OpenAI API key.
-
-**Event Types**: Maps agent names to event types: "search" → "search_complete", "judge" → "judge_complete", "hypothes" → "hypothesizing", "report" → "synthesizing".
-
----
-
-## src/agent_factory/ - Factory Rules
-
-**Pattern**: Factory functions for creating agents and handlers. Lazy initialization for optional dependencies. Support OpenAI/Anthropic/HF Inference.
-
-**Judges**: `create_judge_handler()` creates `JudgeHandler` with structured output (`JudgeAssessment`). Supports `MockJudgeHandler`, `HFInferenceJudgeHandler` as fallbacks.
-
-**Agents**: Factory functions in `agents.py` for all Pydantic AI agents. Pattern: `create_agent_name(model: Any | None = None) -> AgentName`. Use `get_model()` if model not provided.
-
-**Graph Builder**: `graph_builder.py` contains utilities for building research graphs. Supports iterative and deep research graph construction.
-
-**Error Handling**: Raise `ConfigurationError` if required API keys missing. Log agent creation. Handle import errors gracefully.
-
----
-
-## src/prompts/ - Prompt Rules
-
-**Pattern**: System prompts stored as module-level constants. Include date injection: `datetime.now().strftime("%Y-%m-%d")`. Format evidence with truncation (1500 chars per item).
-
-**Judge Prompts**: In `judge.py`. Handle empty evidence case separately. Always request structured JSON output.
-
-**Hypothesis Prompts**: In `hypothesis.py`. Use diverse evidence selection (MMR algorithm). Sentence-aware truncation.
-
-**Report Prompts**: In `report.py`. Include full citation details. Use diverse evidence selection (n=20). Emphasize citation validation rules.
-
----
-
-## Testing Rules
-
-**Structure**: Unit tests in `tests/unit/` (mocked, fast). Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`).
-
-**Mocking**: Use `respx` for httpx mocking. Use `pytest-mock` for general mocking. Mock LLM calls in unit tests (use `MockJudgeHandler`).
-
-**Fixtures**: Common fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`.
-
-**Coverage**: Aim for >80% coverage. Test error handling, edge cases, and integration paths.
-
----
-
-## File-Specific Agent Rules
-
-**knowledge_gap.py**: Outputs `KnowledgeGapOutput`. System prompt evaluates research completeness. Handles conversation history. Returns fallback on error.
-
-**writer.py**: Returns markdown string. System prompt includes citation format examples. Validates inputs. Truncates long findings. Retry logic for transient failures.
-
-**long_writer.py**: Uses `ReportDraft` input/output. Writes sections iteratively. Reformats references (deduplicates, renumbers). Reformats section headings.
-
-**proofreader.py**: Takes `ReportDraft`, returns polished markdown. Removes duplicates. Adds summary. Preserves references.
-
-**tool_selector.py**: Outputs `AgentSelectionPlan`. System prompt lists available agents (WebSearchAgent, SiteCrawlerAgent, RAGAgent). Guidelines for when to use each.
-
-**thinking.py**: Returns observation string. Generates observations from conversation history. Uses query and background context.
-
-**input_parser.py**: Outputs `ParsedQuery`. Detects research mode (iterative/deep). Extracts entities and research questions. Improves/refines query.
-
-
-
diff --git a/dev/docs_plugins.py b/dev/docs_plugins.py
deleted file mode 100644
index 9fe1ed9c64756aed732e5ede0706f0c5b93bf44c..0000000000000000000000000000000000000000
--- a/dev/docs_plugins.py
+++ /dev/null
@@ -1,74 +0,0 @@
-"""Custom MkDocs extension to handle code anchor format: ```start:end:filepath"""
-
-import re
-from pathlib import Path
-
-from markdown import Markdown
-from markdown.extensions import Extension
-from markdown.preprocessors import Preprocessor
-
-
-class CodeAnchorPreprocessor(Preprocessor):
-    """Preprocess code blocks with anchor format: ```start:end:filepath"""
-
-    def __init__(self, md: Markdown, base_path: Path):
-        super().__init__(md)
-        self.base_path = base_path
-        self.pattern = re.compile(r"^```(\d+):(\d+):([^\n]+)\n(.*?)```$", re.MULTILINE | re.DOTALL)
-
-    def run(self, lines: list[str]) -> list[str]:
-        """Process lines and convert code anchor format to standard code blocks."""
-        text = "\n".join(lines)
-        new_text = self.pattern.sub(self._replace_code_anchor, text)
-        return new_text.split("\n")
-
-    def _replace_code_anchor(self, match) -> str:
-        """Replace code anchor format with standard code block + link."""
-        start_line = int(match.group(1))
-        end_line = int(match.group(2))
-        file_path = match.group(3).strip()
-        existing_code = match.group(4)
-
-        # Determine language from file extension
-        ext = Path(file_path).suffix.lower()
-        lang_map = {
-            ".py": "python",
-            ".js": "javascript",
-            ".ts": "typescript",
-            ".md": "markdown",
-            ".yaml": "yaml",
-            ".yml": "yaml",
-            ".toml": "toml",
-            ".json": "json",
-            ".html": "html",
-            ".css": "css",
-            ".sh": "bash",
-        }
-        language = lang_map.get(ext, "python")
-
-        # Generate GitHub link
-        repo_url = "https://github.com/DeepCritical/GradioDemo"
-        github_link = f"{repo_url}/blob/main/{file_path}#L{start_line}-L{end_line}"
-
-        # Return standard code block with source link
-        return (
-            f'[View source: `{file_path}` (lines {start_line}-{end_line})]({github_link}){{: target="_blank" }}\n\n'
-            f"```{language}\n{existing_code}\n```"
-        )
-
-
-class CodeAnchorExtension(Extension):
-    """Markdown extension for code anchors."""
-
-    def __init__(self, base_path: str = ".", **kwargs):
-        super().__init__(**kwargs)
-        self.base_path = Path(base_path)
-
-    def extendMarkdown(self, md: Markdown):  # noqa: N802
-        """Register the preprocessor."""
-        md.preprocessors.register(CodeAnchorPreprocessor(md, self.base_path), "codeanchor", 25)
-
-
-def makeExtension(**kwargs):  # noqa: N802
-    """Create the extension."""
-    return CodeAnchorExtension(**kwargs)
diff --git a/docs/LICENSE.md b/docs/LICENSE.md
deleted file mode 100644
index 18466be89051cf1fbcf15385a2eddb2875276a13..0000000000000000000000000000000000000000
--- a/docs/LICENSE.md
+++ /dev/null
@@ -1,35 +0,0 @@
-# License
-
-DeepCritical is licensed under the MIT License.
-
-## MIT License
-
-Copyright (c) 2024 DeepCritical Team
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-
-
-
-
-
-
-
-
-
diff --git a/docs/api/agents.md b/docs/api/agents.md
deleted file mode 100644
index c89e5b66d7c52f59197d3707c139999c0c12babe..0000000000000000000000000000000000000000
--- a/docs/api/agents.md
+++ /dev/null
@@ -1,211 +0,0 @@
-# Agents API Reference
-
-This page documents the API for DeepCritical agents.
-
-## KnowledgeGapAgent
-
-**Module**: `src.agents.knowledge_gap`
-
-**Purpose**: Evaluates research state and identifies knowledge gaps.
-
-### Methods
-
-#### `evaluate`
-
-<!--codeinclude-->
-[KnowledgeGapAgent.evaluate](../src/agents/knowledge_gap.py) start_line:66 end_line:74
-<!--/codeinclude-->
-
-Evaluates research completeness and identifies outstanding knowledge gaps.
-
-**Parameters**:
-- `query`: Research query string
-- `background_context`: Background context for the query (default: "")
-- `conversation_history`: History of actions, findings, and thoughts as string (default: "")
-- `iteration`: Current iteration number (default: 0)
-- `time_elapsed_minutes`: Elapsed time in minutes (default: 0.0)
-- `max_time_minutes`: Maximum time limit in minutes (default: 10)
-
-**Returns**: `KnowledgeGapOutput` with:
-- `research_complete`: Boolean indicating if research is complete
-- `outstanding_gaps`: List of remaining knowledge gaps
-
-## ToolSelectorAgent
-
-**Module**: `src.agents.tool_selector`
-
-**Purpose**: Selects appropriate tools for addressing knowledge gaps.
-
-### Methods
-
-#### `select_tools`
-
-<!--codeinclude-->
-[ToolSelectorAgent.select_tools](../src/agents/tool_selector.py) start_line:78 end_line:84
-<!--/codeinclude-->
-
-Selects tools for addressing a knowledge gap.
-
-**Parameters**:
-- `gap`: The knowledge gap to address
-- `query`: Research query string
-- `background_context`: Optional background context (default: "")
-- `conversation_history`: History of actions, findings, and thoughts as string (default: "")
-
-**Returns**: `AgentSelectionPlan` with list of `AgentTask` objects.
-
-## WriterAgent
-
-**Module**: `src.agents.writer`
-
-**Purpose**: Generates final reports from research findings.
-
-### Methods
-
-#### `write_report`
-
-<!--codeinclude-->
-[WriterAgent.write_report](../src/agents/writer.py) start_line:67 end_line:73
-<!--/codeinclude-->
-
-Generates a markdown report from research findings.
-
-**Parameters**:
-- `query`: Research query string
-- `findings`: Research findings to include in report
-- `output_length`: Optional description of desired output length (default: "")
-- `output_instructions`: Optional additional instructions for report generation (default: "")
-
-**Returns**: Markdown string with numbered citations.
-
-## LongWriterAgent
-
-**Module**: `src.agents.long_writer`
-
-**Purpose**: Long-form report generation with section-by-section writing.
-
-### Methods
-
-#### `write_next_section`
-
-<!--codeinclude-->
-[LongWriterAgent.write_next_section](../src/agents/long_writer.py) start_line:94 end_line:100
-<!--/codeinclude-->
-
-Writes the next section of a long-form report.
-
-**Parameters**:
-- `original_query`: The original research query
-- `report_draft`: Current report draft as string (all sections written so far)
-- `next_section_title`: Title of the section to write
-- `next_section_draft`: Draft content for the next section
-
-**Returns**: `LongWriterOutput` with formatted section and references.
-
-#### `write_report`
-
-<!--codeinclude-->
-[LongWriterAgent.write_report](../src/agents/long_writer.py) start_line:263 end_line:268
-<!--/codeinclude-->
-
-Generates final report from draft.
-
-**Parameters**:
-- `query`: Research query string
-- `report_title`: Title of the report
-- `report_draft`: Complete report draft
-
-**Returns**: Final markdown report string.
-
-## ProofreaderAgent
-
-**Module**: `src.agents.proofreader`
-
-**Purpose**: Proofreads and polishes report drafts.
-
-### Methods
-
-#### `proofread`
-
-<!--codeinclude-->
-[ProofreaderAgent.proofread](../src/agents/proofreader.py) start_line:72 end_line:76
-<!--/codeinclude-->
-
-Proofreads and polishes a report draft.
-
-**Parameters**:
-- `query`: Research query string
-- `report_title`: Title of the report
-- `report_draft`: Report draft to proofread
-
-**Returns**: Polished markdown string.
-
-## ThinkingAgent
-
-**Module**: `src.agents.thinking`
-
-**Purpose**: Generates observations from conversation history.
-
-### Methods
-
-#### `generate_observations`
-
-<!--codeinclude-->
-[ThinkingAgent.generate_observations](../src/agents/thinking.py) start_line:70 end_line:76
-<!--/codeinclude-->
-
-Generates observations from conversation history.
-
-**Parameters**:
-- `query`: Research query string
-- `background_context`: Optional background context (default: "")
-- `conversation_history`: History of actions, findings, and thoughts as string (default: "")
-- `iteration`: Current iteration number (default: 1)
-
-**Returns**: Observation string.
-
-## InputParserAgent
-
-**Module**: `src.agents.input_parser`
-
-**Purpose**: Parses and improves user queries, detects research mode.
-
-### Methods
-
-#### `parse`
-
-<!--codeinclude-->
-[InputParserAgent.parse](../src/agents/input_parser.py) start_line:82 end_line:82
-<!--/codeinclude-->
-
-Parses and improves a user query.
-
-**Parameters**:
-- `query`: Original query string
-
-**Returns**: `ParsedQuery` with:
-- `original_query`: Original query string
-- `improved_query`: Refined query string
-- `research_mode`: "iterative" or "deep"
-- `key_entities`: List of key entities
-- `research_questions`: List of research questions
-
-## Factory Functions
-
-All agents have factory functions in `src.agent_factory.agents`:
-
-<!--codeinclude-->
-[Factory Functions](../src/agent_factory/agents.py) start_line:30 end_line:50
-<!--/codeinclude-->
-
-**Parameters**:
-- `model`: Optional Pydantic AI model. If None, uses `get_model()` from settings.
-- `oauth_token`: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-**Returns**: Agent instance.
-
-## See Also
-
-- [Architecture - Agents](../architecture/agents.md) - Architecture overview
-- [Models API](models.md) - Data models used by agents
-
diff --git a/docs/api/models.md b/docs/api/models.md
deleted file mode 100644
index d9513147a503f9dfaf8c9aab2bc312ed4d672a3d..0000000000000000000000000000000000000000
--- a/docs/api/models.md
+++ /dev/null
@@ -1,191 +0,0 @@
-# Models API Reference
-
-This page documents the Pydantic models used throughout DeepCritical.
-
-## Evidence
-
-**Module**: `src.utils.models`
-
-**Purpose**: Represents evidence from search results.
-
-<!--codeinclude-->
-[Evidence Model](../src/utils/models.py) start_line:33 end_line:44
-<!--/codeinclude-->
-
-**Fields**:
-- `citation`: Citation information (title, URL, date, authors)
-- `content`: Evidence text content
-- `relevance`: Relevance score (0.0-1.0)
-- `metadata`: Additional metadata dictionary
-
-## Citation
-
-**Module**: `src.utils.models`
-
-**Purpose**: Citation information for evidence.
-
-<!--codeinclude-->
-[Citation Model](../src/utils/models.py) start_line:12 end_line:30
-<!--/codeinclude-->
-
-**Fields**:
-- `source`: Source name (e.g., "pubmed", "clinicaltrials", "europepmc", "web", "rag")
-- `title`: Article/trial title
-- `url`: Source URL
-- `date`: Publication date (YYYY-MM-DD or "Unknown")
-- `authors`: List of authors (optional)
-
-## KnowledgeGapOutput
-
-**Module**: `src.utils.models`
-
-**Purpose**: Output from knowledge gap evaluation.
-
-<!--codeinclude-->
-[KnowledgeGapOutput Model](../src/utils/models.py) start_line:494 end_line:504
-<!--/codeinclude-->
-
-**Fields**:
-- `research_complete`: Boolean indicating if research is complete
-- `outstanding_gaps`: List of remaining knowledge gaps
-
-## AgentSelectionPlan
-
-**Module**: `src.utils.models`
-
-**Purpose**: Plan for tool/agent selection.
-
-<!--codeinclude-->
-[AgentSelectionPlan Model](../src/utils/models.py) start_line:521 end_line:526
-<!--/codeinclude-->
-
-**Fields**:
-- `tasks`: List of agent tasks to execute
-
-## AgentTask
-
-**Module**: `src.utils.models`
-
-**Purpose**: Individual agent task.
-
-<!--codeinclude-->
-[AgentTask Model](../src/utils/models.py) start_line:507 end_line:518
-<!--/codeinclude-->
-
-**Fields**:
-- `gap`: The knowledge gap being addressed (optional)
-- `agent`: Name of agent to use
-- `query`: The specific query for the agent
-- `entity_website`: The website of the entity being researched, if known (optional)
-
-## ReportDraft
-
-**Module**: `src.utils.models`
-
-**Purpose**: Draft structure for long-form reports.
-
-<!--codeinclude-->
-[ReportDraft Model](../src/utils/models.py) start_line:538 end_line:545
-<!--/codeinclude-->
-
-**Fields**:
-- `sections`: List of report sections
-
-## ReportSection
-
-**Module**: `src.utils.models`
-
-**Purpose**: Individual section in a report draft.
-
-<!--codeinclude-->
-[ReportDraftSection Model](../src/utils/models.py) start_line:529 end_line:535
-<!--/codeinclude-->
-
-**Fields**:
-- `section_title`: The title of the section
-- `section_content`: The content of the section
-
-## ParsedQuery
-
-**Module**: `src.utils.models`
-
-**Purpose**: Parsed and improved query.
-
-<!--codeinclude-->
-[ParsedQuery Model](../src/utils/models.py) start_line:557 end_line:572
-<!--/codeinclude-->
-
-**Fields**:
-- `original_query`: Original query string
-- `improved_query`: Refined query string
-- `research_mode`: Research mode ("iterative" or "deep")
-- `key_entities`: List of key entities
-- `research_questions`: List of research questions
-
-## Conversation
-
-**Module**: `src.utils.models`
-
-**Purpose**: Conversation history with iterations.
-
-<!--codeinclude-->
-[Conversation Model](../src/utils/models.py) start_line:331 end_line:337
-<!--/codeinclude-->
-
-**Fields**:
-- `history`: List of iteration data
-
-## IterationData
-
-**Module**: `src.utils.models`
-
-**Purpose**: Data for a single iteration.
-
-<!--codeinclude-->
-[IterationData Model](../src/utils/models.py) start_line:315 end_line:328
-<!--/codeinclude-->
-
-**Fields**:
-- `gap`: The gap addressed in the iteration
-- `tool_calls`: The tool calls made
-- `findings`: The findings collected from tool calls
-- `thought`: The thinking done to reflect on the success of the iteration and next steps
-
-## AgentEvent
-
-**Module**: `src.utils.models`
-
-**Purpose**: Event emitted during research execution.
-
-<!--codeinclude-->
-[AgentEvent Model](../src/utils/models.py) start_line:104 end_line:125
-<!--/codeinclude-->
-
-**Fields**:
-- `type`: Event type (e.g., "started", "search_complete", "complete")
-- `iteration`: Iteration number (optional)
-- `data`: Event data dictionary
-
-## BudgetStatus
-
-**Module**: `src.utils.models`
-
-**Purpose**: Current budget status.
-
-<!--codeinclude-->
-[BudgetStatus Model](../src/middleware/budget_tracker.py) start_line:15 end_line:25
-<!--/codeinclude-->
-
-**Fields**:
-- `tokens_used`: Total tokens used
-- `tokens_limit`: Token budget limit
-- `time_elapsed_seconds`: Time elapsed in seconds
-- `time_limit_seconds`: Time budget limit (default: 600.0 seconds / 10 minutes)
-- `iterations`: Number of iterations completed
-- `iterations_limit`: Maximum iterations (default: 10)
-- `iteration_tokens`: Tokens used per iteration (iteration number -> token count)
-
-## See Also
-
-- [Architecture - Agents](../architecture/agents.md) - How models are used
-- [Configuration](../configuration/index.md) - Model configuration
diff --git a/docs/api/orchestrators.md b/docs/api/orchestrators.md
deleted file mode 100644
index ec1874536e9809064e3a59a220a6aaa5e6d4eb37..0000000000000000000000000000000000000000
--- a/docs/api/orchestrators.md
+++ /dev/null
@@ -1,149 +0,0 @@
-# Orchestrators API Reference
-
-This page documents the API for DeepCritical orchestrators.
-
-## IterativeResearchFlow
-
-**Module**: `src.orchestrator.research_flow`
-
-**Purpose**: Single-loop research with search-judge-synthesize cycles.
-
-### Methods
-
-#### `run`
-
-<!--codeinclude-->
-[IterativeResearchFlow.run](../src/orchestrator/research_flow.py) start_line:134 end_line:140
-<!--/codeinclude-->
-
-Runs iterative research flow.
-
-**Parameters**:
-- `query`: Research query string
-- `background_context`: Background context (default: "")
-- `output_length`: Optional description of desired output length (default: "")
-- `output_instructions`: Optional additional instructions for report generation (default: "")
-- `message_history`: Optional user conversation history in Pydantic AI `ModelMessage` format (default: None)
-
-**Returns**: Final report string.
-
-**Note**: The `message_history` parameter enables multi-turn conversations by providing context from previous interactions.
-
-**Note**: `max_iterations`, `max_time_minutes`, and `token_budget` are constructor parameters, not `run()` parameters.
-
-## DeepResearchFlow
-
-**Module**: `src.orchestrator.research_flow`
-
-**Purpose**: Multi-section parallel research with planning and synthesis.
-
-### Methods
-
-#### `run`
-
-<!--codeinclude-->
-[DeepResearchFlow.run](../src/orchestrator/research_flow.py) start_line:778 end_line:778
-<!--/codeinclude-->
-
-Runs deep research flow.
-
-**Parameters**:
-- `query`: Research query string
-- `message_history`: Optional user conversation history in Pydantic AI `ModelMessage` format (default: None)
-
-**Returns**: Final report string.
-
-**Note**: The `message_history` parameter enables multi-turn conversations by providing context from previous interactions.
-
-**Note**: `max_iterations_per_section`, `max_time_minutes`, and `token_budget` are constructor parameters, not `run()` parameters.
-
-## GraphOrchestrator
-
-**Module**: `src.orchestrator.graph_orchestrator`
-
-**Purpose**: Graph-based execution using Pydantic AI agents as nodes.
-
-### Methods
-
-#### `run`
-
-<!--codeinclude-->
-[GraphOrchestrator.run](../src/orchestrator/graph_orchestrator.py) start_line:177 end_line:177
-<!--/codeinclude-->
-
-Runs graph-based research orchestration.
-
-**Parameters**:
-- `query`: Research query string
-- `message_history`: Optional user conversation history in Pydantic AI `ModelMessage` format (default: None)
-
-**Yields**: `AgentEvent` objects during graph execution.
-
-**Note**: 
-- `research_mode` and `use_graph` are constructor parameters, not `run()` parameters.
-- The `message_history` parameter enables multi-turn conversations by providing context from previous interactions. Message history is stored in `GraphExecutionContext` and passed to agents during execution.
-
-## Orchestrator Factory
-
-**Module**: `src.orchestrator_factory`
-
-**Purpose**: Factory for creating orchestrators.
-
-### Functions
-
-#### `create_orchestrator`
-
-<!--codeinclude-->
-[create_orchestrator](../src/orchestrator_factory.py) start_line:44 end_line:50
-<!--/codeinclude-->
-
-Creates an orchestrator instance.
-
-**Parameters**:
-- `search_handler`: Search handler protocol implementation (optional, required for simple mode)
-- `judge_handler`: Judge handler protocol implementation (optional, required for simple mode)
-- `config`: Configuration object (optional)
-- `mode`: Orchestrator mode ("simple", "advanced", "magentic", "iterative", "deep", "auto", or None for auto-detect)
-- `oauth_token`: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-**Returns**: Orchestrator instance.
-
-**Raises**:
-- `ValueError`: If requirements not met
-
-**Modes**:
-- `"simple"`: Legacy orchestrator
-- `"advanced"` or `"magentic"`: Magentic orchestrator (requires OpenAI API key)
-- `None`: Auto-detect based on API key availability
-
-## MagenticOrchestrator
-
-**Module**: `src.orchestrator_magentic`
-
-**Purpose**: Multi-agent coordination using Microsoft Agent Framework.
-
-### Methods
-
-#### `run`
-
-<!--codeinclude-->
-[MagenticOrchestrator.run](../src/orchestrator_magentic.py) start_line:101 end_line:101
-<!--/codeinclude-->
-
-Runs Magentic orchestration.
-
-**Parameters**:
-- `query`: Research query string
-
-**Yields**: `AgentEvent` objects converted from Magentic events.
-
-**Note**: `max_rounds` and `max_stalls` are constructor parameters, not `run()` parameters.
-
-**Requirements**:
-- `agent-framework-core` package
-- OpenAI API key
-
-## See Also
-
-- [Architecture - Orchestrators](../architecture/orchestrators.md) - Architecture overview
-- [Graph Orchestration](../architecture/graph_orchestration.md) - Graph execution details
diff --git a/docs/api/services.md b/docs/api/services.md
deleted file mode 100644
index 52647e795fa543d8c3a782a07c8d4dbe28b5fbf8..0000000000000000000000000000000000000000
--- a/docs/api/services.md
+++ /dev/null
@@ -1,279 +0,0 @@
-# Services API Reference
-
-This page documents the API for DeepCritical services.
-
-## EmbeddingService
-
-**Module**: `src.services.embeddings`
-
-**Purpose**: Local sentence-transformers for semantic search and deduplication.
-
-### Methods
-
-#### `embed`
-
-<!--codeinclude-->
-[EmbeddingService.embed](../src/services/embeddings.py) start_line:55 end_line:55
-<!--/codeinclude-->
-
-Generates embedding for a text string.
-
-**Parameters**:
-- `text`: Text to embed
-
-**Returns**: Embedding vector as list of floats.
-
-#### `embed_batch`
-
-```python
-async def embed_batch(self, texts: list[str]) -> list[list[float]]
-```
-
-Generates embeddings for multiple texts.
-
-**Parameters**:
-- `texts`: List of texts to embed
-
-**Returns**: List of embedding vectors.
-
-#### `similarity`
-
-```python
-async def similarity(self, text1: str, text2: str) -> float
-```
-
-Calculates similarity between two texts.
-
-**Parameters**:
-- `text1`: First text
-- `text2`: Second text
-
-**Returns**: Similarity score (0.0-1.0).
-
-#### `find_duplicates`
-
-```python
-async def find_duplicates(
-    self,
-    texts: list[str],
-    threshold: float = 0.85
-) -> list[tuple[int, int]]
-```
-
-Finds duplicate texts based on similarity threshold.
-
-**Parameters**:
-- `texts`: List of texts to check
-- `threshold`: Similarity threshold (default: 0.85)
-
-**Returns**: List of (index1, index2) tuples for duplicate pairs.
-
-#### `add_evidence`
-
-```python
-async def add_evidence(
-    self,
-    evidence_id: str,
-    content: str,
-    metadata: dict[str, Any]
-) -> None
-```
-
-Adds evidence to vector store for semantic search.
-
-**Parameters**:
-- `evidence_id`: Unique identifier for the evidence
-- `content`: Evidence text content
-- `metadata`: Additional metadata dictionary
-
-#### `search_similar`
-
-```python
-async def search_similar(
-    self,
-    query: str,
-    n_results: int = 5
-) -> list[dict[str, Any]]
-```
-
-Finds semantically similar evidence.
-
-**Parameters**:
-- `query`: Search query string
-- `n_results`: Number of results to return (default: 5)
-
-**Returns**: List of dictionaries with `id`, `content`, `metadata`, and `distance` keys.
-
-#### `deduplicate`
-
-```python
-async def deduplicate(
-    self,
-    new_evidence: list[Evidence],
-    threshold: float = 0.9
-) -> list[Evidence]
-```
-
-Removes semantically duplicate evidence.
-
-**Parameters**:
-- `new_evidence`: List of evidence items to deduplicate
-- `threshold`: Similarity threshold (default: 0.9, where 0.9 = 90% similar is duplicate)
-
-**Returns**: List of unique evidence items (not already in vector store).
-
-### Factory Function
-
-#### `get_embedding_service`
-
-```python
-@lru_cache(maxsize=1)
-def get_embedding_service() -> EmbeddingService
-```
-
-Returns singleton EmbeddingService instance.
-
-## LlamaIndexRAGService
-
-**Module**: `src.services.rag`
-
-**Purpose**: Retrieval-Augmented Generation using LlamaIndex.
-
-### Methods
-
-#### `ingest_evidence`
-
-<!--codeinclude-->
-[LlamaIndexRAGService.ingest_evidence](../src/services/llamaindex_rag.py) start_line:290 end_line:290
-<!--/codeinclude-->
-
-Ingests evidence into RAG service.
-
-**Parameters**:
-- `evidence_list`: List of Evidence objects to ingest
-
-**Note**: Supports multiple embedding providers (OpenAI, local sentence-transformers, Hugging Face).
-
-#### `retrieve`
-
-```python
-def retrieve(
-    self,
-    query: str,
-    top_k: int | None = None
-) -> list[dict[str, Any]]
-```
-
-Retrieves relevant documents for a query.
-
-**Parameters**:
-- `query`: Search query string
-- `top_k`: Number of top results to return (defaults to `similarity_top_k` from constructor)
-
-**Returns**: List of dictionaries with `text`, `score`, and `metadata` keys.
-
-#### `query`
-
-```python
-def query(
-    self,
-    query_str: str,
-    top_k: int | None = None
-) -> str
-```
-
-Queries RAG service and returns synthesized response.
-
-**Parameters**:
-- `query_str`: Query string
-- `top_k`: Number of results to use (defaults to `similarity_top_k` from constructor)
-
-**Returns**: Synthesized response string.
-
-**Raises**:
-- `ConfigurationError`: If no LLM API key is available for query synthesis
-
-#### `ingest_documents`
-
-```python
-def ingest_documents(self, documents: list[Any]) -> None
-```
-
-Ingests raw LlamaIndex Documents.
-
-**Parameters**:
-- `documents`: List of LlamaIndex Document objects
-
-#### `clear_collection`
-
-```python
-def clear_collection(self) -> None
-```
-
-Clears all documents from the collection.
-
-### Factory Function
-
-#### `get_rag_service`
-
-```python
-def get_rag_service(
-    collection_name: str = "deepcritical_evidence",
-    oauth_token: str | None = None,
-    **kwargs: Any
-) -> LlamaIndexRAGService
-```
-
-Get or create a RAG service instance.
-
-**Parameters**:
-- `collection_name`: Name of the ChromaDB collection (default: "deepcritical_evidence")
-- `oauth_token`: Optional OAuth token from HuggingFace login (takes priority over env vars)
-- `**kwargs`: Additional arguments for LlamaIndexRAGService (e.g., `use_openai_embeddings=False`)
-
-**Returns**: Configured LlamaIndexRAGService instance.
-
-**Note**: By default, uses local embeddings (sentence-transformers) which require no API keys.
-
-## StatisticalAnalyzer
-
-**Module**: `src.services.statistical_analyzer`
-
-**Purpose**: Secure execution of AI-generated statistical code.
-
-### Methods
-
-#### `analyze`
-
-```python
-async def analyze(
-    self,
-    query: str,
-    evidence: list[Evidence],
-    hypothesis: dict[str, Any] | None = None
-) -> AnalysisResult
-```
-
-Analyzes a research question using statistical methods.
-
-**Parameters**:
-- `query`: The research question
-- `evidence`: List of Evidence objects to analyze
-- `hypothesis`: Optional hypothesis dict with `drug`, `target`, `pathway`, `effect`, `confidence` keys
-
-**Returns**: `AnalysisResult` with:
-- `verdict`: SUPPORTED, REFUTED, or INCONCLUSIVE
-- `confidence`: Confidence in verdict (0.0-1.0)
-- `statistical_evidence`: Summary of statistical findings
-- `code_generated`: Python code that was executed
-- `execution_output`: Output from code execution
-- `key_takeaways`: Key takeaways from analysis
-- `limitations`: List of limitations
-
-**Note**: Requires Modal credentials for sandbox execution.
-
-## See Also
-
-- [Architecture - Services](../architecture/services.md) - Architecture overview
-- [Configuration](../configuration/index.md) - Service configuration
-
diff --git a/docs/api/tools.md b/docs/api/tools.md
deleted file mode 100644
index c3eb95bf88d0d70cf8e2265931a59c774283b021..0000000000000000000000000000000000000000
--- a/docs/api/tools.md
+++ /dev/null
@@ -1,259 +0,0 @@
-# Tools API Reference
-
-This page documents the API for DeepCritical search tools.
-
-## SearchTool Protocol
-
-All tools implement the `SearchTool` protocol:
-
-```python
-class SearchTool(Protocol):
-    @property
-    def name(self) -> str: ...
-    
-    async def search(
-        self, 
-        query: str, 
-        max_results: int = 10
-    ) -> list[Evidence]: ...
-```
-
-## PubMedTool
-
-**Module**: `src.tools.pubmed`
-
-**Purpose**: Search peer-reviewed biomedical literature from PubMed.
-
-### Properties
-
-#### `name`
-
-```python
-@property
-def name(self) -> str
-```
-
-Returns tool name: `"pubmed"`
-
-### Methods
-
-#### `search`
-
-```python
-async def search(
-    self,
-    query: str,
-    max_results: int = 10
-) -> list[Evidence]
-```
-
-Searches PubMed for articles.
-
-**Parameters**:
-- `query`: Search query string
-- `max_results`: Maximum number of results to return (default: 10)
-
-**Returns**: List of `Evidence` objects with PubMed articles.
-
-**Raises**:
-- `SearchError`: If search fails (timeout, HTTP error, XML parsing error)
-- `RateLimitError`: If rate limit is exceeded (429 status code)
-
-**Note**: Uses NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Handles single vs. multiple articles.
-
-## ClinicalTrialsTool
-
-**Module**: `src.tools.clinicaltrials`
-
-**Purpose**: Search ClinicalTrials.gov for interventional studies.
-
-### Properties
-
-#### `name`
-
-```python
-@property
-def name(self) -> str
-```
-
-Returns tool name: `"clinicaltrials"`
-
-### Methods
-
-#### `search`
-
-```python
-async def search(
-    self,
-    query: str,
-    max_results: int = 10
-) -> list[Evidence]
-```
-
-Searches ClinicalTrials.gov for trials.
-
-**Parameters**:
-- `query`: Search query string
-- `max_results`: Maximum number of results to return (default: 10)
-
-**Returns**: List of `Evidence` objects with clinical trials.
-
-**Note**: Only returns interventional studies with status: COMPLETED, ACTIVE_NOT_RECRUITING, RECRUITING, ENROLLING_BY_INVITATION. Uses `requests` library (NOT httpx - WAF blocks httpx). Runs in thread pool for async compatibility.
-
-**Raises**:
-- `SearchError`: If search fails (HTTP error, request exception)
-
-## EuropePMCTool
-
-**Module**: `src.tools.europepmc`
-
-**Purpose**: Search Europe PMC for preprints and peer-reviewed articles.
-
-### Properties
-
-#### `name`
-
-```python
-@property
-def name(self) -> str
-```
-
-Returns tool name: `"europepmc"`
-
-### Methods
-
-#### `search`
-
-```python
-async def search(
-    self,
-    query: str,
-    max_results: int = 10
-) -> list[Evidence]
-```
-
-Searches Europe PMC for articles and preprints.
-
-**Parameters**:
-- `query`: Search query string
-- `max_results`: Maximum number of results to return (default: 10)
-
-**Returns**: List of `Evidence` objects with articles/preprints.
-
-**Note**: Includes both preprints (marked with `[PREPRINT - Not peer-reviewed]`) and peer-reviewed articles. Handles preprint markers. Builds URLs from DOI or PMID.
-
-**Raises**:
-- `SearchError`: If search fails (HTTP error, connection error)
-
-## RAGTool
-
-**Module**: `src.tools.rag_tool`
-
-**Purpose**: Semantic search within collected evidence.
-
-### Initialization
-
-```python
-def __init__(
-    self,
-    rag_service: LlamaIndexRAGService | None = None,
-    oauth_token: str | None = None
-) -> None
-```
-
-**Parameters**:
-- `rag_service`: Optional RAG service instance. If None, will be lazy-initialized.
-- `oauth_token`: Optional OAuth token from HuggingFace login (for RAG LLM)
-
-### Properties
-
-#### `name`
-
-```python
-@property
-def name(self) -> str
-```
-
-Returns tool name: `"rag"`
-
-### Methods
-
-#### `search`
-
-```python
-async def search(
-    self,
-    query: str,
-    max_results: int = 10
-) -> list[Evidence]
-```
-
-Searches collected evidence using semantic similarity.
-
-**Parameters**:
-- `query`: Search query string
-- `max_results`: Maximum number of results to return (default: 10)
-
-**Returns**: List of `Evidence` objects from collected evidence.
-
-**Raises**:
-- `ConfigurationError`: If RAG service is unavailable
-
-**Note**: Requires evidence to be ingested into RAG service first. Wraps `LlamaIndexRAGService`. Returns Evidence from RAG results.
-
-## SearchHandler
-
-**Module**: `src.tools.search_handler`
-
-**Purpose**: Orchestrates parallel searches across multiple tools.
-
-### Initialization
-
-```python
-def __init__(
-    self,
-    tools: list[SearchTool],
-    timeout: float = 30.0,
-    include_rag: bool = False,
-    auto_ingest_to_rag: bool = True,
-    oauth_token: str | None = None
-) -> None
-```
-
-**Parameters**:
-- `tools`: List of search tools to use
-- `timeout`: Timeout for each search in seconds (default: 30.0)
-- `include_rag`: Whether to include RAG tool in searches (default: False)
-- `auto_ingest_to_rag`: Whether to automatically ingest results into RAG (default: True)
-- `oauth_token`: Optional OAuth token from HuggingFace login (for RAG LLM)
-
-### Methods
-
-#### `execute`
-
-<!--codeinclude-->
-[SearchHandler.execute](../src/tools/search_handler.py) start_line:86 end_line:86
-<!--/codeinclude-->
-
-Searches multiple tools in parallel.
-
-**Parameters**:
-- `query`: Search query string
-- `max_results_per_tool`: Maximum results per tool (default: 10)
-
-**Returns**: `SearchResult` with:
-- `query`: The search query
-- `evidence`: Aggregated list of evidence
-- `sources_searched`: List of source names searched
-- `total_found`: Total number of results
-- `errors`: List of error messages from failed tools
-
-**Raises**:
-- `SearchError`: If search times out
-
-**Note**: Uses `asyncio.gather()` for parallel execution. Handles tool failures gracefully (returns errors in `SearchResult.errors`). Automatically ingests evidence into RAG if enabled.
-
-## See Also
-
-- [Architecture - Tools](../architecture/tools.md) - Architecture overview
-- [Models API](models.md) - Data models used by tools
diff --git a/docs/architecture/agents.md b/docs/architecture/agents.md
deleted file mode 100644
index 3bf400ba7bf42cfb3cd836f8ec9af3949731c3a6..0000000000000000000000000000000000000000
--- a/docs/architecture/agents.md
+++ /dev/null
@@ -1,293 +0,0 @@
-# Agents Architecture
-
-DeepCritical uses Pydantic AI agents for all AI-powered operations. All agents follow a consistent pattern and use structured output types.
-
-## Agent Pattern
-
-### Pydantic AI Agents
-
-Pydantic AI agents use the `Agent` class with the following structure:
-
-- **System Prompt**: Module-level constant with date injection
-- **Agent Class**: `__init__(model: Any | None = None)`
-- **Main Method**: Async method (e.g., `async def evaluate()`, `async def write_report()`)
-- **Factory Function**: `def create_agent_name(model: Any | None = None, oauth_token: str | None = None) -> AgentName`
-
-**Note**: Factory functions accept an optional `oauth_token` parameter for HuggingFace authentication, which takes priority over environment variables.
-
-## Model Initialization
-
-Agents use `get_model()` from `src/agent_factory/judges.py` if no model is provided. This supports:
-
-- OpenAI models
-- Anthropic models
-- HuggingFace Inference API models
-
-The model selection is based on the configured `LLM_PROVIDER` in settings.
-
-## Error Handling
-
-Agents return fallback values on failure rather than raising exceptions:
-
-- `KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])`
-- Empty strings for text outputs
-- Default structured outputs
-
-All errors are logged with context using structlog.
-
-## Input Validation
-
-All agents validate inputs:
-
-- Check that queries/inputs are not empty
-- Truncate very long inputs with warnings
-- Handle None values gracefully
-
-## Output Types
-
-Agents use structured output types from `src/utils/models.py`:
-
-- `KnowledgeGapOutput`: Research completeness evaluation
-- `AgentSelectionPlan`: Tool selection plan
-- `ReportDraft`: Long-form report structure
-- `ParsedQuery`: Query parsing and mode detection
-
-For text output (writer agents), agents return `str` directly.
-
-## Agent Types
-
-### Knowledge Gap Agent
-
-**File**: `src/agents/knowledge_gap.py`
-
-**Purpose**: Evaluates research state and identifies knowledge gaps.
-
-**Output**: `KnowledgeGapOutput` with:
-- `research_complete`: Boolean indicating if research is complete
-- `outstanding_gaps`: List of remaining knowledge gaps
-
-**Methods**:
-- `async def evaluate(query, background_context, conversation_history, iteration, time_elapsed_minutes, max_time_minutes) -> KnowledgeGapOutput`
-
-### Tool Selector Agent
-
-**File**: `src/agents/tool_selector.py`
-
-**Purpose**: Selects appropriate tools for addressing knowledge gaps.
-
-**Output**: `AgentSelectionPlan` with list of `AgentTask` objects.
-
-**Available Agents**:
-- `WebSearchAgent`: General web search for fresh information
-- `SiteCrawlerAgent`: Research specific entities/companies
-- `RAGAgent`: Semantic search within collected evidence
-
-### Writer Agent
-
-**File**: `src/agents/writer.py`
-
-**Purpose**: Generates final reports from research findings.
-
-**Output**: Markdown string with numbered citations.
-
-**Methods**:
-- `async def write_report(query, findings, output_length, output_instructions) -> str`
-
-**Features**:
-- Validates inputs
-- Truncates very long findings (max 50000 chars) with warning
-- Retry logic for transient failures (3 retries)
-- Citation validation before returning
-
-### Long Writer Agent
-
-**File**: `src/agents/long_writer.py`
-
-**Purpose**: Long-form report generation with section-by-section writing.
-
-**Input/Output**: Uses `ReportDraft` models.
-
-**Methods**:
-- `async def write_next_section(query, draft, section_title, section_content) -> LongWriterOutput`
-- `async def write_report(query, report_title, report_draft) -> str`
-
-**Features**:
-- Writes sections iteratively
-- Aggregates references across sections
-- Reformats section headings and references
-- Deduplicates and renumbers references
-
-### Proofreader Agent
-
-**File**: `src/agents/proofreader.py`
-
-**Purpose**: Proofreads and polishes report drafts.
-
-**Input**: `ReportDraft`
-**Output**: Polished markdown string
-
-**Methods**:
-- `async def proofread(query, report_title, report_draft) -> str`
-
-**Features**:
-- Removes duplicate content across sections
-- Adds executive summary if multiple sections
-- Preserves all references and citations
-- Improves flow and readability
-
-### Thinking Agent
-
-**File**: `src/agents/thinking.py`
-
-**Purpose**: Generates observations from conversation history.
-
-**Output**: Observation string
-
-**Methods**:
-- `async def generate_observations(query, background_context, conversation_history) -> str`
-
-### Input Parser Agent
-
-**File**: `src/agents/input_parser.py`
-
-**Purpose**: Parses and improves user queries, detects research mode.
-
-**Output**: `ParsedQuery` with:
-- `original_query`: Original query string
-- `improved_query`: Refined query string
-- `research_mode`: "iterative" or "deep"
-- `key_entities`: List of key entities
-- `research_questions`: List of research questions
-
-## Magentic Agents
-
-The following agents use the `BaseAgent` pattern from `agent-framework` and are used exclusively with `MagenticOrchestrator`:
-
-### Hypothesis Agent
-
-**File**: `src/agents/hypothesis_agent.py`
-
-**Purpose**: Generates mechanistic hypotheses based on evidence.
-
-**Pattern**: `BaseAgent` from `agent-framework`
-
-**Methods**:
-- `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-
-**Features**:
-- Uses internal Pydantic AI `Agent` with `HypothesisAssessment` output type
-- Accesses shared `evidence_store` for evidence
-- Uses embedding service for diverse evidence selection (MMR algorithm)
-- Stores hypotheses in shared context
-
-### Search Agent
-
-**File**: `src/agents/search_agent.py`
-
-**Purpose**: Wraps `SearchHandler` as an agent for Magentic orchestrator.
-
-**Pattern**: `BaseAgent` from `agent-framework`
-
-**Methods**:
-- `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-
-**Features**:
-- Executes searches via `SearchHandlerProtocol`
-- Deduplicates evidence using embedding service
-- Searches for semantically related evidence
-- Updates shared evidence store
-
-### Analysis Agent
-
-**File**: `src/agents/analysis_agent.py`
-
-**Purpose**: Performs statistical analysis using Modal sandbox.
-
-**Pattern**: `BaseAgent` from `agent-framework`
-
-**Methods**:
-- `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-
-**Features**:
-- Wraps `StatisticalAnalyzer` service
-- Analyzes evidence and hypotheses
-- Returns verdict (SUPPORTED/REFUTED/INCONCLUSIVE)
-- Stores analysis results in shared context
-
-### Report Agent (Magentic)
-
-**File**: `src/agents/report_agent.py`
-
-**Purpose**: Generates structured scientific reports from evidence and hypotheses.
-
-**Pattern**: `BaseAgent` from `agent-framework`
-
-**Methods**:
-- `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-
-**Features**:
-- Uses internal Pydantic AI `Agent` with `ResearchReport` output type
-- Accesses shared evidence store and hypotheses
-- Validates citations before returning
-- Formats report as markdown
-
-### Judge Agent
-
-**File**: `src/agents/judge_agent.py`
-
-**Purpose**: Evaluates evidence quality and determines if sufficient for synthesis.
-
-**Pattern**: `BaseAgent` from `agent-framework`
-
-**Methods**:
-- `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-- `async def run_stream(messages, thread, **kwargs) -> AsyncIterable[AgentRunResponseUpdate]`
-
-**Features**:
-- Wraps `JudgeHandlerProtocol`
-- Accesses shared evidence store
-- Returns `JudgeAssessment` with sufficient flag, confidence, and recommendation
-
-## Agent Patterns
-
-DeepCritical uses two distinct agent patterns:
-
-### 1. Pydantic AI Agents (Traditional Pattern)
-
-These agents use the Pydantic AI `Agent` class directly and are used in iterative and deep research flows:
-
-- **Pattern**: `Agent(model, output_type, system_prompt)`
-- **Initialization**: `__init__(model: Any | None = None)`
-- **Methods**: Agent-specific async methods (e.g., `async def evaluate()`, `async def write_report()`)
-- **Examples**: `KnowledgeGapAgent`, `ToolSelectorAgent`, `WriterAgent`, `LongWriterAgent`, `ProofreaderAgent`, `ThinkingAgent`, `InputParserAgent`
-
-### 2. Magentic Agents (Agent-Framework Pattern)
-
-These agents use the `BaseAgent` class from `agent-framework` and are used in Magentic orchestrator:
-
-- **Pattern**: `BaseAgent` from `agent-framework` with `async def run()` method
-- **Initialization**: `__init__(evidence_store, embedding_service, ...)`
-- **Methods**: `async def run(messages, thread, **kwargs) -> AgentRunResponse`
-- **Examples**: `HypothesisAgent`, `SearchAgent`, `AnalysisAgent`, `ReportAgent`, `JudgeAgent`
-
-**Note**: Magentic agents are used exclusively with the `MagenticOrchestrator` and follow the agent-framework protocol for multi-agent coordination.
-
-## Factory Functions
-
-All agents have factory functions in `src/agent_factory/agents.py`:
-
-<!--codeinclude-->
-[Factory Functions](../src/agent_factory/agents.py) start_line:79 end_line:100
-<!--/codeinclude-->
-
-Factory functions:
-- Use `get_model()` if no model provided
-- Accept `oauth_token` parameter for HuggingFace authentication
-- Raise `ConfigurationError` if creation fails
-- Log agent creation
-
-## See Also
-
-- [Orchestrators](orchestrators.md) - How agents are orchestrated
-- [API Reference - Agents](../api/agents.md) - API documentation
-- [Contributing - Code Style](../contributing/code-style.md) - Development guidelines
diff --git a/docs/architecture/graph_orchestration.md b/docs/architecture/graph_orchestration.md
deleted file mode 100644
index cdbec2d163918dceb7dc1bf0f9659402a4aa7377..0000000000000000000000000000000000000000
--- a/docs/architecture/graph_orchestration.md
+++ /dev/null
@@ -1,302 +0,0 @@
-# Graph Orchestration Architecture
-
-## Overview
-
-DeepCritical implements a graph-based orchestration system for research workflows using Pydantic AI agents as nodes. This enables better parallel execution, conditional routing, and state management compared to simple agent chains.
-
-## Conversation History
-
-DeepCritical supports multi-turn conversations through Pydantic AI's native message history format. The system maintains two types of history:
-
-1. **User Conversation History**: Multi-turn user interactions (from Gradio chat interface) stored as `list[ModelMessage]`
-2. **Research Iteration History**: Internal research process state (existing `Conversation` model)
-
-### Message History Flow
-
-```
-Gradio Chat History → convert_gradio_to_message_history() → GraphOrchestrator.run(message_history)
-    ↓
-GraphExecutionContext (stores message_history)
-    ↓
-Agent Nodes (receive message_history via agent.run())
-    ↓
-WorkflowState (persists user_message_history)
-```
-
-### Usage
-
-Message history is automatically converted from Gradio format and passed through the orchestrator:
-
-```python
-# In app.py - automatic conversion
-message_history = convert_gradio_to_message_history(history) if history else None
-async for event in orchestrator.run(query, message_history=message_history):
-    yield event
-```
-
-Agents receive message history through their `run()` methods:
-
-```python
-# In agent execution
-if message_history:
-    result = await agent.run(input_data, message_history=message_history)
-```
-
-## Graph Patterns
-
-### Iterative Research Graph
-
-The iterative research graph follows this pattern:
-
-```
-[Input] → [Thinking] → [Knowledge Gap] → [Decision: Complete?]
-                                              ↓ No          ↓ Yes
-                                    [Tool Selector]    [Writer]
-                                              ↓
-                                    [Execute Tools] → [Loop Back]
-```
-
-**Node IDs**: `thinking` → `knowledge_gap` → `continue_decision` → `tool_selector`/`writer` → `execute_tools` → (loop back to `thinking`)
-
-**Special Node Handling**:
-- `execute_tools`: State node that uses `search_handler` to execute searches and add evidence to workflow state
-- `continue_decision`: Decision node that routes based on `research_complete` flag from `KnowledgeGapOutput`
-
-### Deep Research Graph
-
-The deep research graph follows this pattern:
-
-```
-[Input] → [Planner] → [Store Plan] → [Parallel Loops] → [Collect Drafts] → [Synthesizer]
-                                        ↓         ↓         ↓
-                                     [Loop1]  [Loop2]  [Loop3]
-```
-
-**Node IDs**: `planner` → `store_plan` → `parallel_loops` → `collect_drafts` → `synthesizer`
-
-**Special Node Handling**:
-- `planner`: Agent node that creates `ReportPlan` with report outline
-- `store_plan`: State node that stores `ReportPlan` in context for parallel loops
-- `parallel_loops`: Parallel node that executes `IterativeResearchFlow` instances for each section
-- `collect_drafts`: State node that collects section drafts from parallel loops
-- `synthesizer`: Agent node that calls `LongWriterAgent.write_report()` directly with `ReportDraft`
-
-### Deep Research
-
-```mermaid
-
-sequenceDiagram
-    actor User
-    participant GraphOrchestrator
-    participant InputParser
-    participant GraphBuilder
-    participant GraphExecutor
-    participant Agent
-    participant BudgetTracker
-    participant WorkflowState
-
-    User->>GraphOrchestrator: run(query)
-    GraphOrchestrator->>InputParser: detect_research_mode(query)
-    InputParser-->>GraphOrchestrator: mode (iterative/deep)
-    GraphOrchestrator->>GraphBuilder: build_graph(mode)
-    GraphBuilder-->>GraphOrchestrator: ResearchGraph
-    GraphOrchestrator->>WorkflowState: init_workflow_state()
-    GraphOrchestrator->>BudgetTracker: create_budget()
-    GraphOrchestrator->>GraphExecutor: _execute_graph(graph)
-    
-    loop For each node in graph
-        GraphExecutor->>Agent: execute_node(agent_node)
-        Agent->>Agent: process_input
-        Agent-->>GraphExecutor: result
-        GraphExecutor->>WorkflowState: update_state(result)
-        GraphExecutor->>BudgetTracker: add_tokens(used)
-        GraphExecutor->>BudgetTracker: check_budget()
-        alt Budget exceeded
-            GraphExecutor->>GraphOrchestrator: emit(error_event)
-        else Continue
-            GraphExecutor->>GraphOrchestrator: emit(progress_event)
-        end
-    end
-    
-    GraphOrchestrator->>User: AsyncGenerator[AgentEvent]
-
-```
-
-### Iterative Research
-
-```mermaid
-sequenceDiagram
-    participant IterativeFlow
-    participant ThinkingAgent
-    participant KnowledgeGapAgent
-    participant ToolSelector
-    participant ToolExecutor
-    participant JudgeHandler
-    participant WriterAgent
-
-    IterativeFlow->>IterativeFlow: run(query)
-    
-    loop Until complete or max_iterations
-        IterativeFlow->>ThinkingAgent: generate_observations()
-        ThinkingAgent-->>IterativeFlow: observations
-        
-        IterativeFlow->>KnowledgeGapAgent: evaluate_gaps()
-        KnowledgeGapAgent-->>IterativeFlow: KnowledgeGapOutput
-        
-        alt Research complete
-            IterativeFlow->>WriterAgent: create_final_report()
-            WriterAgent-->>IterativeFlow: final_report
-        else Gaps remain
-            IterativeFlow->>ToolSelector: select_agents(gap)
-            ToolSelector-->>IterativeFlow: AgentSelectionPlan
-            
-            IterativeFlow->>ToolExecutor: execute_tool_tasks()
-            ToolExecutor-->>IterativeFlow: ToolAgentOutput[]
-            
-            IterativeFlow->>JudgeHandler: assess_evidence()
-            JudgeHandler-->>IterativeFlow: should_continue
-        end
-    end
-```
-
-
-## Graph Structure
-
-### Nodes
-
-Graph nodes represent different stages in the research workflow:
-
-1. **Agent Nodes**: Execute Pydantic AI agents
-   - Input: Prompt/query
-   - Output: Structured or unstructured response
-   - Examples: `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`
-
-2. **State Nodes**: Update or read workflow state
-   - Input: Current state
-   - Output: Updated state
-   - Examples: Update evidence, update conversation history
-
-3. **Decision Nodes**: Make routing decisions based on conditions
-   - Input: Current state/results
-   - Output: Next node ID
-   - Examples: Continue research vs. complete research
-
-4. **Parallel Nodes**: Execute multiple nodes concurrently
-   - Input: List of node IDs
-   - Output: Aggregated results
-   - Examples: Parallel iterative research loops
-
-### Edges
-
-Edges define transitions between nodes:
-
-1. **Sequential Edges**: Always traversed (no condition)
-   - From: Source node
-   - To: Target node
-   - Condition: None (always True)
-
-2. **Conditional Edges**: Traversed based on condition
-   - From: Source node
-   - To: Target node
-   - Condition: Callable that returns bool
-   - Example: If research complete → go to writer, else → continue loop
-
-3. **Parallel Edges**: Used for parallel execution branches
-   - From: Parallel node
-   - To: Multiple target nodes
-   - Execution: All targets run concurrently
-
-
-## State Management
-
-State is managed via `WorkflowState` using `ContextVar` for thread-safe isolation:
-
-- **Evidence**: Collected evidence from searches
-- **Conversation**: Iteration history (gaps, tool calls, findings, thoughts)
-- **Embedding Service**: For semantic search
-
-State transitions occur at state nodes, which update the global workflow state.
-
-## Execution Flow
-
-1. **Graph Construction**: Build graph from nodes and edges using `create_iterative_graph()` or `create_deep_graph()`
-2. **Graph Validation**: Ensure graph is valid (no cycles, all nodes reachable) via `ResearchGraph.validate_structure()`
-3. **Graph Execution**: Traverse graph from entry node using `GraphOrchestrator._execute_graph()`
-4. **Node Execution**: Execute each node based on type:
-   - **Agent Nodes**: Call `agent.run()` with transformed input
-   - **State Nodes**: Update workflow state via `state_updater` function
-   - **Decision Nodes**: Evaluate `decision_function` to get next node ID
-   - **Parallel Nodes**: Execute all parallel nodes concurrently via `asyncio.gather()`
-5. **Edge Evaluation**: Determine next node(s) based on edges and conditions
-6. **Parallel Execution**: Use `asyncio.gather()` for parallel nodes
-7. **State Updates**: Update state at state nodes via `GraphExecutionContext.update_state()`
-8. **Event Streaming**: Yield `AgentEvent` objects during execution for UI
-
-### GraphExecutionContext
-
-The `GraphExecutionContext` class manages execution state during graph traversal:
-
-- **State**: Current `WorkflowState` instance
-- **Budget Tracker**: `BudgetTracker` instance for budget enforcement
-- **Node Results**: Dictionary storing results from each node execution
-- **Visited Nodes**: Set of node IDs that have been executed
-- **Current Node**: ID of the node currently being executed
-
-Methods:
-- `set_node_result(node_id, result)`: Store result from node execution
-- `get_node_result(node_id)`: Retrieve stored result
-- `has_visited(node_id)`: Check if node was visited
-- `mark_visited(node_id)`: Mark node as visited
-- `update_state(updater, data)`: Update workflow state
-
-## Conditional Routing
-
-Decision nodes evaluate conditions and return next node IDs:
-
-- **Knowledge Gap Decision**: If `research_complete` → writer, else → tool selector
-- **Budget Decision**: If budget exceeded → exit, else → continue
-- **Iteration Decision**: If max iterations → exit, else → continue
-
-## Parallel Execution
-
-Parallel nodes execute multiple nodes concurrently:
-
-- Each parallel branch runs independently
-- Results are aggregated after all branches complete
-- State is synchronized after parallel execution
-- Errors in one branch don't stop other branches
-
-## Budget Enforcement
-
-Budget constraints are enforced at decision nodes:
-
-- **Token Budget**: Track LLM token usage
-- **Time Budget**: Track elapsed time
-- **Iteration Budget**: Track iteration count
-
-If any budget is exceeded, execution routes to exit node.
-
-## Error Handling
-
-Errors are handled at multiple levels:
-
-1. **Node Level**: Catch errors in individual node execution
-2. **Graph Level**: Handle errors during graph traversal
-3. **State Level**: Rollback state changes on error
-
-Errors are logged and yield error events for UI.
-
-## Backward Compatibility
-
-Graph execution is optional via feature flag:
-
-- `USE_GRAPH_EXECUTION=true`: Use graph-based execution
-- `USE_GRAPH_EXECUTION=false`: Use agent chain execution (existing)
-
-This allows gradual migration and fallback if needed.
-
-## See Also
-
-- [Orchestrators](orchestrators.md) - Overview of all orchestrator patterns
-- [Workflow Diagrams](workflow-diagrams.md) - Detailed workflow diagrams
-- [API Reference - Orchestrators](../api/orchestrators.md) - API documentation
diff --git a/docs/architecture/middleware.md b/docs/architecture/middleware.md
deleted file mode 100644
index 6a9c40edefb2c1bb6af2c3b58a3ad1344b75d7d9..0000000000000000000000000000000000000000
--- a/docs/architecture/middleware.md
+++ /dev/null
@@ -1,146 +0,0 @@
-# Middleware Architecture
-
-DeepCritical uses middleware for state management, budget tracking, and workflow coordination.
-
-## State Management
-
-### WorkflowState
-
-**File**: `src/middleware/state_machine.py`
-
-**Purpose**: Thread-safe state management for research workflows
-
-**Implementation**: Uses `ContextVar` for thread-safe isolation
-
-**State Components**:
-- `evidence: list[Evidence]`: Collected evidence from searches
-- `conversation: Conversation`: Iteration history (gaps, tool calls, findings, thoughts)
-- `embedding_service: Any`: Embedding service for semantic search
-
-**Methods**:
-- `add_evidence(new_evidence: list[Evidence]) -> int`: Adds evidence with URL-based deduplication. Returns the number of new items added (excluding duplicates).
-- `async search_related(query: str, n_results: int = 5) -> list[Evidence]`: Semantic search for related evidence using embedding service
-
-**Initialization**:
-
-<!--codeinclude-->
-[Initialize Workflow State](../src/middleware/state_machine.py) start_line:98 end_line:110
-<!--/codeinclude-->
-
-**Access**:
-
-<!--codeinclude-->
-[Get Workflow State](../src/middleware/state_machine.py) start_line:115 end_line:129
-<!--/codeinclude-->
-
-## Workflow Manager
-
-**File**: `src/middleware/workflow_manager.py`
-
-**Purpose**: Coordinates parallel research loops
-
-**Methods**:
-- `async add_loop(loop_id: str, query: str) -> ResearchLoop`: Add a new research loop to manage
-- `async run_loops_parallel(loop_configs: list[dict], loop_func: Callable, judge_handler: Any | None = None, budget_tracker: Any | None = None) -> list[Any]`: Run multiple research loops in parallel. Takes configuration dicts and a loop function.
-- `async update_loop_status(loop_id: str, status: LoopStatus, error: str | None = None)`: Update loop status
-- `async sync_loop_evidence_to_state(loop_id: str)`: Synchronize evidence from a specific loop to global state
-
-**Features**:
-- Uses `asyncio.gather()` for parallel execution
-- Handles errors per loop (doesn't fail all if one fails)
-- Tracks loop status: `pending`, `running`, `completed`, `failed`, `cancelled`
-- Evidence deduplication across parallel loops
-
-**Usage**:
-```python
-from src.middleware.workflow_manager import WorkflowManager
-
-manager = WorkflowManager()
-await manager.add_loop("loop1", "Research query 1")
-await manager.add_loop("loop2", "Research query 2")
-
-async def run_research(config: dict) -> str:
-    loop_id = config["loop_id"]
-    query = config["query"]
-    # ... research logic ...
-    return "report"
-
-results = await manager.run_loops_parallel(
-    loop_configs=[
-        {"loop_id": "loop1", "query": "Research query 1"},
-        {"loop_id": "loop2", "query": "Research query 2"},
-    ],
-    loop_func=run_research,
-)
-```
-
-## Budget Tracker
-
-**File**: `src/middleware/budget_tracker.py`
-
-**Purpose**: Tracks and enforces resource limits
-
-**Budget Components**:
-- **Tokens**: LLM token usage
-- **Time**: Elapsed time in seconds
-- **Iterations**: Number of iterations
-
-**Methods**:
-- `create_budget(loop_id: str, tokens_limit: int = 100000, time_limit_seconds: float = 600.0, iterations_limit: int = 10) -> BudgetStatus`: Create a budget for a specific loop
-- `add_tokens(loop_id: str, tokens: int)`: Add token usage to a loop's budget
-- `start_timer(loop_id: str)`: Start time tracking for a loop
-- `update_timer(loop_id: str)`: Update elapsed time for a loop
-- `increment_iteration(loop_id: str)`: Increment iteration count for a loop
-- `check_budget(loop_id: str) -> tuple[bool, str]`: Check if a loop's budget has been exceeded. Returns (exceeded: bool, reason: str)
-- `can_continue(loop_id: str) -> bool`: Check if a loop can continue based on budget
-
-**Token Estimation**:
-- `estimate_tokens(text: str) -> int`: ~4 chars per token
-- `estimate_llm_call_tokens(prompt: str, response: str) -> int`: Estimate LLM call tokens
-
-**Usage**:
-```python
-from src.middleware.budget_tracker import BudgetTracker
-
-tracker = BudgetTracker()
-budget = tracker.create_budget(
-    loop_id="research_loop",
-    tokens_limit=100000,
-    time_limit_seconds=600,
-    iterations_limit=10
-)
-tracker.start_timer("research_loop")
-# ... research operations ...
-tracker.add_tokens("research_loop", 5000)
-tracker.update_timer("research_loop")
-exceeded, reason = tracker.check_budget("research_loop")
-if exceeded:
-    # Budget exceeded, stop research
-    pass
-if not tracker.can_continue("research_loop"):
-    # Budget exceeded, stop research
-    pass
-```
-
-## Models
-
-All middleware models are defined in `src/utils/models.py`:
-
-- `IterationData`: Data for a single iteration
-- `Conversation`: Conversation history with iterations
-- `ResearchLoop`: Research loop state and configuration
-- `BudgetStatus`: Current budget status
-
-## Thread Safety
-
-All middleware components use `ContextVar` for thread-safe isolation:
-
-- Each request/thread has its own workflow state
-- No global mutable state
-- Safe for concurrent requests
-
-## See Also
-
-- [Orchestrators](orchestrators.md) - How middleware is used in orchestration
-- [API Reference - Orchestrators](../api/orchestrators.md) - API documentation
-- [Contributing - Code Style](../contributing/code-style.md) - Development guidelines
diff --git a/docs/architecture/orchestrators.md b/docs/architecture/orchestrators.md
deleted file mode 100644
index 34ea966177da345a8e0c92254b2c50633cbf2f5e..0000000000000000000000000000000000000000
--- a/docs/architecture/orchestrators.md
+++ /dev/null
@@ -1,201 +0,0 @@
-# Orchestrators Architecture
-
-DeepCritical supports multiple orchestration patterns for research workflows.
-
-## Research Flows
-
-### IterativeResearchFlow
-
-**File**: `src/orchestrator/research_flow.py`
-
-**Pattern**: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete
-
-**Agents Used**:
-- `KnowledgeGapAgent`: Evaluates research completeness
-- `ToolSelectorAgent`: Selects tools for addressing gaps
-- `ThinkingAgent`: Generates observations
-- `WriterAgent`: Creates final report
-- `JudgeHandler`: Assesses evidence sufficiency
-
-**Features**:
-- Tracks iterations, time, budget
-- Supports graph execution (`use_graph=True`) and agent chains (`use_graph=False`)
-- Iterates until research complete or constraints met
-
-**Usage**:
-
-<!--codeinclude-->
-[IterativeResearchFlow Initialization](../src/orchestrator/research_flow.py) start_line:57 end_line:80
-<!--/codeinclude-->
-
-### DeepResearchFlow
-
-**File**: `src/orchestrator/research_flow.py`
-
-**Pattern**: Planner → Parallel iterative loops per section → Synthesizer
-
-**Agents Used**:
-- `PlannerAgent`: Breaks query into report sections
-- `IterativeResearchFlow`: Per-section research (parallel)
-- `LongWriterAgent` or `ProofreaderAgent`: Final synthesis
-
-**Features**:
-- Uses `WorkflowManager` for parallel execution
-- Budget tracking per section and globally
-- State synchronization across parallel loops
-- Supports graph execution and agent chains
-
-**Usage**:
-
-<!--codeinclude-->
-[DeepResearchFlow Initialization](../src/orchestrator/research_flow.py) start_line:709 end_line:728
-<!--/codeinclude-->
-
-## Graph Orchestrator
-
-**File**: `src/orchestrator/graph_orchestrator.py`
-
-**Purpose**: Graph-based execution using Pydantic AI agents as nodes
-
-**Features**:
-- Uses graph execution (`use_graph=True`) or agent chains (`use_graph=False`) as fallback
-- Routes based on research mode (iterative/deep/auto)
-- Streams `AgentEvent` objects for UI
-- Uses `GraphExecutionContext` to manage execution state
-
-**Node Types**:
-- **Agent Nodes**: Execute Pydantic AI agents
-- **State Nodes**: Update or read workflow state
-- **Decision Nodes**: Make routing decisions
-- **Parallel Nodes**: Execute multiple nodes concurrently
-
-**Edge Types**:
-- **Sequential Edges**: Always traversed
-- **Conditional Edges**: Traversed based on condition
-- **Parallel Edges**: Used for parallel execution branches
-
-**Special Node Handling**:
-
-The `GraphOrchestrator` has special handling for certain nodes:
-
-- **`execute_tools` node**: State node that uses `search_handler` to execute searches and add evidence to workflow state
-- **`parallel_loops` node**: Parallel node that executes `IterativeResearchFlow` instances for each section in deep research mode
-- **`synthesizer` node**: Agent node that calls `LongWriterAgent.write_report()` directly with `ReportDraft` instead of using `agent.run()`
-- **`writer` node**: Agent node that calls `WriterAgent.write_report()` directly with findings instead of using `agent.run()`
-
-**GraphExecutionContext**:
-
-The orchestrator uses `GraphExecutionContext` to manage execution state:
-- Tracks current node, visited nodes, and node results
-- Manages workflow state and budget tracker
-- Provides methods to store and retrieve node execution results
-
-## Orchestrator Factory
-
-**File**: `src/orchestrator_factory.py`
-
-**Purpose**: Factory for creating orchestrators
-
-**Modes**:
-- **Simple**: Legacy orchestrator (backward compatible)
-- **Advanced**: Magentic orchestrator (requires OpenAI API key)
-- **Auto-detect**: Chooses based on API key availability
-
-**Usage**:
-
-<!--codeinclude-->
-[Create Orchestrator](../src/orchestrator_factory.py) start_line:44 end_line:66
-<!--/codeinclude-->
-
-## Magentic Orchestrator
-
-**File**: `src/orchestrator_magentic.py`
-
-**Purpose**: Multi-agent coordination using Microsoft Agent Framework
-
-**Features**:
-- Uses `agent-framework-core`
-- ChatAgent pattern with internal LLMs per agent
-- `MagenticBuilder` with participants:
-  - `searcher`: SearchAgent (wraps SearchHandler)
-  - `hypothesizer`: HypothesisAgent (generates hypotheses)
-  - `judge`: JudgeAgent (evaluates evidence)
-  - `reporter`: ReportAgent (generates final report)
-- Manager orchestrates agents via chat client (OpenAI or HuggingFace)
-- Event-driven: converts Magentic events to `AgentEvent` for UI streaming via `_process_event()` method
-- Supports max rounds, stall detection, and reset handling
-
-**Event Processing**:
-
-The orchestrator processes Magentic events and converts them to `AgentEvent`:
-- `MagenticOrchestratorMessageEvent` → `AgentEvent` with type based on message content
-- `MagenticAgentMessageEvent` → `AgentEvent` with type based on agent name
-- `MagenticAgentDeltaEvent` → `AgentEvent` for streaming updates
-- `MagenticFinalResultEvent` → `AgentEvent` with type "complete"
-
-**Requirements**:
-- `agent-framework-core` package
-- OpenAI API key or HuggingFace authentication
-
-## Hierarchical Orchestrator
-
-**File**: `src/orchestrator_hierarchical.py`
-
-**Purpose**: Hierarchical orchestrator using middleware and sub-teams
-
-**Features**:
-- Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`
-- Adapts Magentic ChatAgent to `SubIterationTeam` protocol
-- Event-driven via `asyncio.Queue` for coordination
-- Supports sub-iteration patterns for complex research tasks
-
-## Legacy Simple Mode
-
-**File**: `src/legacy_orchestrator.py`
-
-**Purpose**: Linear search-judge-synthesize loop
-
-**Features**:
-- Uses `SearchHandlerProtocol` and `JudgeHandlerProtocol`
-- Generator-based design yielding `AgentEvent` objects
-- Backward compatibility for simple use cases
-
-## State Initialization
-
-All orchestrators must initialize workflow state:
-
-<!--codeinclude-->
-[Initialize Workflow State](../src/middleware/state_machine.py) start_line:98 end_line:112
-<!--/codeinclude-->
-
-## Event Streaming
-
-All orchestrators yield `AgentEvent` objects:
-
-**Event Types**:
-- `started`: Research started
-- `searching`: Search in progress
-- `search_complete`: Search completed
-- `judging`: Evidence evaluation in progress
-- `judge_complete`: Evidence evaluation completed
-- `looping`: Iteration in progress
-- `hypothesizing`: Generating hypotheses
-- `analyzing`: Statistical analysis in progress
-- `analysis_complete`: Statistical analysis completed
-- `synthesizing`: Synthesizing results
-- `complete`: Research completed
-- `error`: Error occurred
-- `streaming`: Streaming update (delta events)
-
-**Event Structure**:
-
-<!--codeinclude-->
-[AgentEvent Model](../src/utils/models.py) start_line:104 end_line:126
-<!--/codeinclude-->
-
-## See Also
-
-- [Graph Orchestration](graph_orchestration.md) - Graph-based execution details
-- [Workflow Diagrams](workflow-diagrams.md) - Detailed workflow diagrams
-- [API Reference - Orchestrators](../api/orchestrators.md) - API documentation
-
diff --git a/docs/architecture/services.md b/docs/architecture/services.md
deleted file mode 100644
index 102b95b2340b11ebad8c4a797410258b5d3202b4..0000000000000000000000000000000000000000
--- a/docs/architecture/services.md
+++ /dev/null
@@ -1,146 +0,0 @@
-# Services Architecture
-
-DeepCritical provides several services for embeddings, RAG, and statistical analysis.
-
-## Embedding Service
-
-**File**: `src/services/embeddings.py`
-
-**Purpose**: Local sentence-transformers for semantic search and deduplication
-
-**Features**:
-- **No API Key Required**: Uses local sentence-transformers models
-- **Async-Safe**: All operations use `run_in_executor()` to avoid blocking the event loop
-- **ChromaDB Storage**: In-memory vector storage for embeddings
-- **Deduplication**: 0.9 similarity threshold by default (90% similarity = duplicate, configurable)
-
-**Model**: Configurable via `settings.local_embedding_model` (default: `all-MiniLM-L6-v2`)
-
-**Methods**:
-- `async def embed(text: str) -> list[float]`: Generate embeddings (async-safe via `run_in_executor()`)
-- `async def embed_batch(texts: list[str]) -> list[list[float]]`: Batch embedding (more efficient)
-- `async def add_evidence(evidence_id: str, content: str, metadata: dict[str, Any]) -> None`: Add evidence to vector store
-- `async def search_similar(query: str, n_results: int = 5) -> list[dict[str, Any]]`: Find semantically similar evidence
-- `async def deduplicate(new_evidence: list[Evidence], threshold: float = 0.9) -> list[Evidence]`: Remove semantically duplicate evidence
-
-**Usage**:
-```python
-from src.services.embeddings import get_embedding_service
-
-service = get_embedding_service()
-embedding = await service.embed("text to embed")
-```
-
-## LlamaIndex RAG Service
-
-**File**: `src/services/llamaindex_rag.py`
-
-**Purpose**: Retrieval-Augmented Generation using LlamaIndex
-
-**Features**:
-- **Multiple Embedding Providers**: OpenAI embeddings (requires `OPENAI_API_KEY`) or local sentence-transformers (no API key)
-- **Multiple LLM Providers**: HuggingFace LLM (preferred) or OpenAI LLM (fallback) for query synthesis
-- **ChromaDB Storage**: Vector database for document storage (supports in-memory mode)
-- **Metadata Preservation**: Preserves source, title, URL, date, authors
-- **Lazy Initialization**: Graceful fallback if dependencies not available
-
-**Initialization Parameters**:
-- `use_openai_embeddings: bool | None`: Force OpenAI embeddings (None = auto-detect)
-- `use_in_memory: bool`: Use in-memory ChromaDB client (useful for tests)
-- `oauth_token: str | None`: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-**Methods**:
-- `async def ingest_evidence(evidence: list[Evidence]) -> None`: Ingest evidence into RAG
-- `async def retrieve(query: str, top_k: int = 5) -> list[Document]`: Retrieve relevant documents
-- `async def query(query: str, top_k: int = 5) -> str`: Query with RAG
-
-**Usage**:
-```python
-from src.services.llamaindex_rag import get_rag_service
-
-service = get_rag_service(
-    use_openai_embeddings=False,  # Use local embeddings
-    use_in_memory=True,  # Use in-memory ChromaDB
-    oauth_token=token  # Optional HuggingFace token
-)
-if service:
-    documents = await service.retrieve("query", top_k=5)
-```
-
-## Statistical Analyzer
-
-**File**: `src/services/statistical_analyzer.py`
-
-**Purpose**: Secure execution of AI-generated statistical code
-
-**Features**:
-- **Modal Sandbox**: Secure, isolated execution environment
-- **Code Generation**: Generates Python code via LLM
-- **Library Pinning**: Version-pinned libraries in `SANDBOX_LIBRARIES`
-- **Network Isolation**: `block_network=True` by default
-
-**Libraries Available**:
-- pandas, numpy, scipy
-- matplotlib, scikit-learn
-- statsmodels
-
-**Output**: `AnalysisResult` with:
-- `verdict`: SUPPORTED, REFUTED, or INCONCLUSIVE
-- `code`: Generated analysis code
-- `output`: Execution output
-- `error`: Error message if execution failed
-
-**Usage**:
-```python
-from src.services.statistical_analyzer import StatisticalAnalyzer
-
-analyzer = StatisticalAnalyzer()
-result = await analyzer.analyze(
-    hypothesis="Metformin reduces cancer risk",
-    evidence=evidence_list
-)
-```
-
-## Singleton Pattern
-
-Services use singleton patterns for lazy initialization:
-
-**EmbeddingService**: Uses a global variable pattern:
-
-<!--codeinclude-->
-[EmbeddingService Singleton](../src/services/embeddings.py) start_line:164 end_line:172
-<!--/codeinclude-->
-
-**LlamaIndexRAGService**: Direct instantiation (no caching):
-
-<!--codeinclude-->
-[LlamaIndexRAGService Factory](../src/services/llamaindex_rag.py) start_line:440 end_line:466
-<!--/codeinclude-->
-
-This ensures:
-- Single instance per process
-- Lazy initialization
-- No dependencies required at import time
-
-## Service Availability
-
-Services check availability before use:
-
-```python
-from src.utils.config import settings
-
-if settings.modal_available:
-    # Use Modal sandbox
-    pass
-
-if settings.has_openai_key:
-    # Use OpenAI embeddings for RAG
-    pass
-```
-
-## See Also
-
-- [Tools](tools.md) - How services are used by search tools
-- [API Reference - Services](../api/services.md) - API documentation
-- [Configuration](../configuration/index.md) - Service configuration
-
diff --git a/docs/architecture/tools.md b/docs/architecture/tools.md
deleted file mode 100644
index 3585874442c672b724f5819deedf683697074bb7..0000000000000000000000000000000000000000
--- a/docs/architecture/tools.md
+++ /dev/null
@@ -1,167 +0,0 @@
-# Tools Architecture
-
-DeepCritical implements a protocol-based search tool system for retrieving evidence from multiple sources.
-
-## SearchTool Protocol
-
-All tools implement the `SearchTool` protocol from `src/tools/base.py`:
-
-<!--codeinclude-->
-[SearchTool Protocol](../src/tools/base.py) start_line:8 end_line:31
-<!--/codeinclude-->
-
-## Rate Limiting
-
-All tools use the `@retry` decorator from tenacity:
-
-<!--codeinclude-->
-[Retry Decorator Pattern](../src/tools/pubmed.py) start_line:46 end_line:50
-<!--/codeinclude-->
-
-Tools with API rate limits implement `_rate_limit()` method and use shared rate limiters from `src/tools/rate_limiter.py`.
-
-## Error Handling
-
-Tools raise custom exceptions:
-
-- `SearchError`: General search failures
-- `RateLimitError`: Rate limit exceeded
-
-Tools handle HTTP errors (429, 500, timeout) and return empty lists on non-critical errors (with warning logs).
-
-## Query Preprocessing
-
-Tools use `preprocess_query()` from `src/tools/query_utils.py` to:
-
-- Remove noise from queries
-- Expand synonyms
-- Normalize query format
-
-## Evidence Conversion
-
-All tools convert API responses to `Evidence` objects with:
-
-- `Citation`: Title, URL, date, authors
-- `content`: Evidence text
-- `relevance_score`: 0.0-1.0 relevance score
-- `metadata`: Additional metadata
-
-Missing fields are handled gracefully with defaults.
-
-## Tool Implementations
-
-### PubMed Tool
-
-**File**: `src/tools/pubmed.py`
-
-**API**: NCBI E-utilities (ESearch → EFetch)
-
-**Rate Limiting**: 
-- 0.34s between requests (3 req/sec without API key)
-- 0.1s between requests (10 req/sec with NCBI API key)
-
-**Features**:
-- XML parsing with `xmltodict`
-- Handles single vs. multiple articles
-- Query preprocessing
-- Evidence conversion with metadata extraction
-
-### ClinicalTrials Tool
-
-**File**: `src/tools/clinicaltrials.py`
-
-**API**: ClinicalTrials.gov API v2
-
-**Important**: Uses `requests` library (NOT httpx) because WAF blocks httpx TLS fingerprint.
-
-**Execution**: Runs in thread pool: `await asyncio.to_thread(requests.get, ...)`
-
-**Filtering**:
-- Only interventional studies
-- Status: `COMPLETED`, `ACTIVE_NOT_RECRUITING`, `RECRUITING`, `ENROLLING_BY_INVITATION`
-
-**Features**:
-- Parses nested JSON structure
-- Extracts trial metadata
-- Evidence conversion
-
-### Europe PMC Tool
-
-**File**: `src/tools/europepmc.py`
-
-**API**: Europe PMC REST API
-
-**Features**:
-- Handles preprint markers: `[PREPRINT - Not peer-reviewed]`
-- Builds URLs from DOI or PMID
-- Checks `pubTypeList` for preprint detection
-- Includes both preprints and peer-reviewed articles
-
-### RAG Tool
-
-**File**: `src/tools/rag_tool.py`
-
-**Purpose**: Semantic search within collected evidence
-
-**Implementation**: Wraps `LlamaIndexRAGService`
-
-**Features**:
-- Returns Evidence from RAG results
-- Handles evidence ingestion
-- Semantic similarity search
-- Metadata preservation
-
-### Search Handler
-
-**File**: `src/tools/search_handler.py`
-
-**Purpose**: Orchestrates parallel searches across multiple tools
-
-**Initialization Parameters**:
-- `tools: list[SearchTool]`: List of search tools to use
-- `timeout: float = 30.0`: Timeout for each search in seconds
-- `include_rag: bool = False`: Whether to include RAG tool in searches
-- `auto_ingest_to_rag: bool = True`: Whether to automatically ingest results into RAG
-- `oauth_token: str | None = None`: Optional OAuth token from HuggingFace login (for RAG LLM)
-
-**Methods**:
-- `async def execute(query: str, max_results_per_tool: int = 10) -> SearchResult`: Execute search across all tools in parallel
-
-**Features**:
-- Uses `asyncio.gather()` with `return_exceptions=True` for parallel execution
-- Aggregates results into `SearchResult` with evidence and metadata
-- Handles tool failures gracefully (continues with other tools)
-- Deduplicates results by URL
-- Automatically ingests results into RAG if `auto_ingest_to_rag=True`
-- Can add RAG tool dynamically via `add_rag_tool()` method
-
-## Tool Registration
-
-Tools are registered in the search handler:
-
-```python
-from src.tools.pubmed import PubMedTool
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.tools.europepmc import EuropePMCTool
-from src.tools.search_handler import SearchHandler
-
-search_handler = SearchHandler(
-    tools=[
-        PubMedTool(),
-        ClinicalTrialsTool(),
-        EuropePMCTool(),
-    ],
-    include_rag=True,  # Include RAG tool for semantic search
-    auto_ingest_to_rag=True,  # Automatically ingest results into RAG
-    oauth_token=token  # Optional HuggingFace token for RAG LLM
-)
-
-# Execute search
-result = await search_handler.execute("query", max_results_per_tool=10)
-```
-
-## See Also
-
-- [Services](services.md) - RAG and embedding services
-- [API Reference - Tools](../api/tools.md) - API documentation
-- [Contributing - Implementation Patterns](../contributing/implementation-patterns.md) - Development guidelines
diff --git a/docs/architecture/workflow-diagrams.md b/docs/architecture/workflow-diagrams.md
deleted file mode 100644
index 1d22a77898faa66673192f8d8196e7efa88385da..0000000000000000000000000000000000000000
--- a/docs/architecture/workflow-diagrams.md
+++ /dev/null
@@ -1,655 +0,0 @@
-# DeepCritical Workflow - Simplified Magentic Architecture
-
-> **Architecture Pattern**: Microsoft Magentic Orchestration
-> **Design Philosophy**: Simple, dynamic, manager-driven coordination
-> **Key Innovation**: Intelligent manager replaces rigid sequential phases
-
----
-
-## 1. High-Level Magentic Workflow
-
-```mermaid
-flowchart TD
-    Start([User Query]) --> Manager[Magentic Manager<br/>Plan • Select • Assess • Adapt]
-
-    Manager -->|Plans| Task1[Task Decomposition]
-    Task1 --> Manager
-
-    Manager -->|Selects & Executes| HypAgent[Hypothesis Agent]
-    Manager -->|Selects & Executes| SearchAgent[Search Agent]
-    Manager -->|Selects & Executes| AnalysisAgent[Analysis Agent]
-    Manager -->|Selects & Executes| ReportAgent[Report Agent]
-
-    HypAgent -->|Results| Manager
-    SearchAgent -->|Results| Manager
-    AnalysisAgent -->|Results| Manager
-    ReportAgent -->|Results| Manager
-
-    Manager -->|Assesses Quality| Decision{Good Enough?}
-    Decision -->|No - Refine| Manager
-    Decision -->|No - Different Agent| Manager
-    Decision -->|No - Stalled| Replan[Reset Plan]
-    Replan --> Manager
-
-    Decision -->|Yes| Synthesis[Synthesize Final Result]
-    Synthesis --> Output([Research Report])
-
-    style Start fill:#e1f5e1
-    style Manager fill:#ffe6e6
-    style HypAgent fill:#fff4e6
-    style SearchAgent fill:#fff4e6
-    style AnalysisAgent fill:#fff4e6
-    style ReportAgent fill:#fff4e6
-    style Decision fill:#ffd6d6
-    style Synthesis fill:#d4edda
-    style Output fill:#e1f5e1
-```
-
-## 2. Magentic Manager: The 6-Phase Cycle
-
-```mermaid
-flowchart LR
-    P1[1. Planning<br/>Analyze task<br/>Create strategy] --> P2[2. Agent Selection<br/>Pick best agent<br/>for subtask]
-    P2 --> P3[3. Execution<br/>Run selected<br/>agent with tools]
-    P3 --> P4[4. Assessment<br/>Evaluate quality<br/>Check progress]
-    P4 --> Decision{Quality OK?<br/>Progress made?}
-    Decision -->|Yes| P6[6. Synthesis<br/>Combine results<br/>Generate report]
-    Decision -->|No| P5[5. Iteration<br/>Adjust plan<br/>Try again]
-    P5 --> P2
-    P6 --> Done([Complete])
-
-    style P1 fill:#fff4e6
-    style P2 fill:#ffe6e6
-    style P3 fill:#e6f3ff
-    style P4 fill:#ffd6d6
-    style P5 fill:#fff3cd
-    style P6 fill:#d4edda
-    style Done fill:#e1f5e1
-```
-
-## 3. Simplified Agent Architecture
-
-```mermaid
-graph TB
-    subgraph "Orchestration Layer"
-        Manager[Magentic Manager<br/>• Plans workflow<br/>• Selects agents<br/>• Assesses quality<br/>• Adapts strategy]
-        SharedContext[(Shared Context<br/>• Hypotheses<br/>• Search Results<br/>• Analysis<br/>• Progress)]
-        Manager <--> SharedContext
-    end
-
-    subgraph "Specialist Agents"
-        HypAgent[Hypothesis Agent<br/>• Domain understanding<br/>• Hypothesis generation<br/>• Testability refinement]
-        SearchAgent[Search Agent<br/>• Multi-source search<br/>• RAG retrieval<br/>• Result ranking]
-        AnalysisAgent[Analysis Agent<br/>• Evidence extraction<br/>• Statistical analysis<br/>• Code execution]
-        ReportAgent[Report Agent<br/>• Report assembly<br/>• Visualization<br/>• Citation formatting]
-    end
-
-    subgraph "MCP Tools"
-        WebSearch[Web Search<br/>PubMed • arXiv • bioRxiv]
-        CodeExec[Code Execution<br/>Sandboxed Python]
-        RAG[RAG Retrieval<br/>Vector DB • Embeddings]
-        Viz[Visualization<br/>Charts • Graphs]
-    end
-
-    Manager -->|Selects & Directs| HypAgent
-    Manager -->|Selects & Directs| SearchAgent
-    Manager -->|Selects & Directs| AnalysisAgent
-    Manager -->|Selects & Directs| ReportAgent
-
-    HypAgent --> SharedContext
-    SearchAgent --> SharedContext
-    AnalysisAgent --> SharedContext
-    ReportAgent --> SharedContext
-
-    SearchAgent --> WebSearch
-    SearchAgent --> RAG
-    AnalysisAgent --> CodeExec
-    ReportAgent --> CodeExec
-    ReportAgent --> Viz
-
-    style Manager fill:#ffe6e6
-    style SharedContext fill:#ffe6f0
-    style HypAgent fill:#fff4e6
-    style SearchAgent fill:#fff4e6
-    style AnalysisAgent fill:#fff4e6
-    style ReportAgent fill:#fff4e6
-    style WebSearch fill:#e6f3ff
-    style CodeExec fill:#e6f3ff
-    style RAG fill:#e6f3ff
-    style Viz fill:#e6f3ff
-```
-
-## 4. Dynamic Workflow Example
-
-```mermaid
-sequenceDiagram
-    participant User
-    participant Manager
-    participant HypAgent
-    participant SearchAgent
-    participant AnalysisAgent
-    participant ReportAgent
-
-    User->>Manager: "Research protein folding in Alzheimer's"
-
-    Note over Manager: PLAN: Generate hypotheses → Search → Analyze → Report
-
-    Manager->>HypAgent: Generate 3 hypotheses
-    HypAgent-->>Manager: Returns 3 hypotheses
-    Note over Manager: ASSESS: Good quality, proceed
-
-    Manager->>SearchAgent: Search literature for hypothesis 1
-    SearchAgent-->>Manager: Returns 15 papers
-    Note over Manager: ASSESS: Good results, continue
-
-    Manager->>SearchAgent: Search for hypothesis 2
-    SearchAgent-->>Manager: Only 2 papers found
-    Note over Manager: ASSESS: Insufficient, refine search
-
-    Manager->>SearchAgent: Refined query for hypothesis 2
-    SearchAgent-->>Manager: Returns 12 papers
-    Note over Manager: ASSESS: Better, proceed
-
-    Manager->>AnalysisAgent: Analyze evidence for all hypotheses
-    AnalysisAgent-->>Manager: Returns analysis with code
-    Note over Manager: ASSESS: Complete, generate report
-
-    Manager->>ReportAgent: Create comprehensive report
-    ReportAgent-->>Manager: Returns formatted report
-    Note over Manager: SYNTHESIZE: Combine all results
-
-    Manager->>User: Final Research Report
-```
-
-## 5. Manager Decision Logic
-
-```mermaid
-flowchart TD
-    Start([Manager Receives Task]) --> Plan[Create Initial Plan]
-
-    Plan --> Select[Select Agent for Next Subtask]
-    Select --> Execute[Execute Agent]
-    Execute --> Collect[Collect Results]
-
-    Collect --> Assess[Assess Quality & Progress]
-
-    Assess --> Q1{Quality Sufficient?}
-    Q1 -->|No| Q2{Same Agent Can Fix?}
-    Q2 -->|Yes| Feedback[Provide Specific Feedback]
-    Feedback --> Execute
-    Q2 -->|No| Different[Try Different Agent]
-    Different --> Select
-
-    Q1 -->|Yes| Q3{Task Complete?}
-    Q3 -->|No| Q4{Making Progress?}
-    Q4 -->|Yes| Select
-    Q4 -->|No - Stalled| Replan[Reset Plan & Approach]
-    Replan --> Plan
-
-    Q3 -->|Yes| Synth[Synthesize Final Result]
-    Synth --> Done([Return Report])
-
-    style Start fill:#e1f5e1
-    style Plan fill:#fff4e6
-    style Select fill:#ffe6e6
-    style Execute fill:#e6f3ff
-    style Assess fill:#ffd6d6
-    style Q1 fill:#ffe6e6
-    style Q2 fill:#ffe6e6
-    style Q3 fill:#ffe6e6
-    style Q4 fill:#ffe6e6
-    style Synth fill:#d4edda
-    style Done fill:#e1f5e1
-```
-
-## 6. Hypothesis Agent Workflow
-
-```mermaid
-flowchart LR
-    Input[Research Query] --> Domain[Identify Domain<br/>& Key Concepts]
-    Domain --> Context[Retrieve Background<br/>Knowledge]
-    Context --> Generate[Generate 3-5<br/>Initial Hypotheses]
-    Generate --> Refine[Refine for<br/>Testability]
-    Refine --> Rank[Rank by<br/>Quality Score]
-    Rank --> Output[Return Top<br/>Hypotheses]
-
-    Output --> Struct[Hypothesis Structure:<br/>• Statement<br/>• Rationale<br/>• Testability Score<br/>• Data Requirements<br/>• Expected Outcomes]
-
-    style Input fill:#e1f5e1
-    style Output fill:#fff4e6
-    style Struct fill:#e6f3ff
-```
-
-## 7. Search Agent Workflow
-
-```mermaid
-flowchart TD
-    Input[Hypotheses] --> Strategy[Formulate Search<br/>Strategy per Hypothesis]
-
-    Strategy --> Multi[Multi-Source Search]
-
-    Multi --> PubMed[PubMed Search<br/>via MCP]
-    Multi --> ArXiv[arXiv Search<br/>via MCP]
-    Multi --> BioRxiv[bioRxiv Search<br/>via MCP]
-
-    PubMed --> Aggregate[Aggregate Results]
-    ArXiv --> Aggregate
-    BioRxiv --> Aggregate
-
-    Aggregate --> Filter[Filter & Rank<br/>by Relevance]
-    Filter --> Dedup[Deduplicate<br/>Cross-Reference]
-    Dedup --> Embed[Embed Documents<br/>via MCP]
-    Embed --> Vector[(Vector DB)]
-    Vector --> RAGRetrieval[RAG Retrieval<br/>Top-K per Hypothesis]
-    RAGRetrieval --> Output[Return Contextualized<br/>Search Results]
-
-    style Input fill:#fff4e6
-    style Multi fill:#ffe6e6
-    style Vector fill:#ffe6f0
-    style Output fill:#e6f3ff
-```
-
-## 8. Analysis Agent Workflow
-
-```mermaid
-flowchart TD
-    Input1[Hypotheses] --> Extract
-    Input2[Search Results] --> Extract[Extract Evidence<br/>per Hypothesis]
-
-    Extract --> Methods[Determine Analysis<br/>Methods Needed]
-
-    Methods --> Branch{Requires<br/>Computation?}
-    Branch -->|Yes| GenCode[Generate Python<br/>Analysis Code]
-    Branch -->|No| Qual[Qualitative<br/>Synthesis]
-
-    GenCode --> Execute[Execute Code<br/>via MCP Sandbox]
-    Execute --> Interpret1[Interpret<br/>Results]
-    Qual --> Interpret2[Interpret<br/>Findings]
-
-    Interpret1 --> Synthesize[Synthesize Evidence<br/>Across Sources]
-    Interpret2 --> Synthesize
-
-    Synthesize --> Verdict[Determine Verdict<br/>per Hypothesis]
-    Verdict --> Support[• Supported<br/>• Refuted<br/>• Inconclusive]
-    Support --> Gaps[Identify Knowledge<br/>Gaps & Limitations]
-    Gaps --> Output[Return Analysis<br/>Report]
-
-    style Input1 fill:#fff4e6
-    style Input2 fill:#e6f3ff
-    style Execute fill:#ffe6e6
-    style Output fill:#e6ffe6
-```
-
-## 9. Report Agent Workflow
-
-```mermaid
-flowchart TD
-    Input1[Query] --> Assemble
-    Input2[Hypotheses] --> Assemble
-    Input3[Search Results] --> Assemble
-    Input4[Analysis] --> Assemble[Assemble Report<br/>Sections]
-
-    Assemble --> Exec[Executive Summary]
-    Assemble --> Intro[Introduction]
-    Assemble --> Methods[Methods]
-    Assemble --> Results[Results per<br/>Hypothesis]
-    Assemble --> Discussion[Discussion]
-    Assemble --> Future[Future Directions]
-    Assemble --> Refs[References]
-
-    Results --> VizCheck{Needs<br/>Visualization?}
-    VizCheck -->|Yes| GenViz[Generate Viz Code]
-    GenViz --> ExecViz[Execute via MCP<br/>Create Charts]
-    ExecViz --> Combine
-    VizCheck -->|No| Combine[Combine All<br/>Sections]
-
-    Exec --> Combine
-    Intro --> Combine
-    Methods --> Combine
-    Discussion --> Combine
-    Future --> Combine
-    Refs --> Combine
-
-    Combine --> Format[Format Output]
-    Format --> MD[Markdown]
-    Format --> PDF[PDF]
-    Format --> JSON[JSON]
-
-    MD --> Output[Return Final<br/>Report]
-    PDF --> Output
-    JSON --> Output
-
-    style Input1 fill:#e1f5e1
-    style Input2 fill:#fff4e6
-    style Input3 fill:#e6f3ff
-    style Input4 fill:#e6ffe6
-    style Output fill:#d4edda
-```
-
-## 10. Data Flow & Event Streaming
-
-```mermaid
-flowchart TD
-    User[👤 User] -->|Research Query| UI[Gradio UI]
-    UI -->|Submit| Manager[Magentic Manager]
-
-    Manager -->|Event: Planning| UI
-    Manager -->|Select Agent| HypAgent[Hypothesis Agent]
-    HypAgent -->|Event: Delta/Message| UI
-    HypAgent -->|Hypotheses| Context[(Shared Context)]
-
-    Context -->|Retrieved by| Manager
-    Manager -->|Select Agent| SearchAgent[Search Agent]
-    SearchAgent -->|MCP Request| WebSearch[Web Search Tool]
-    WebSearch -->|Results| SearchAgent
-    SearchAgent -->|Event: Delta/Message| UI
-    SearchAgent -->|Documents| Context
-    SearchAgent -->|Embeddings| VectorDB[(Vector DB)]
-
-    Context -->|Retrieved by| Manager
-    Manager -->|Select Agent| AnalysisAgent[Analysis Agent]
-    AnalysisAgent -->|MCP Request| CodeExec[Code Execution Tool]
-    CodeExec -->|Results| AnalysisAgent
-    AnalysisAgent -->|Event: Delta/Message| UI
-    AnalysisAgent -->|Analysis| Context
-
-    Context -->|Retrieved by| Manager
-    Manager -->|Select Agent| ReportAgent[Report Agent]
-    ReportAgent -->|MCP Request| CodeExec
-    ReportAgent -->|Event: Delta/Message| UI
-    ReportAgent -->|Report| Context
-
-    Manager -->|Event: Final Result| UI
-    UI -->|Display| User
-
-    style User fill:#e1f5e1
-    style UI fill:#e6f3ff
-    style Manager fill:#ffe6e6
-    style Context fill:#ffe6f0
-    style VectorDB fill:#ffe6f0
-    style WebSearch fill:#f0f0f0
-    style CodeExec fill:#f0f0f0
-```
-
-## 11. MCP Tool Architecture
-
-```mermaid
-graph TB
-    subgraph "Agent Layer"
-        Manager[Magentic Manager]
-        HypAgent[Hypothesis Agent]
-        SearchAgent[Search Agent]
-        AnalysisAgent[Analysis Agent]
-        ReportAgent[Report Agent]
-    end
-
-    subgraph "MCP Protocol Layer"
-        Registry[MCP Tool Registry<br/>• Discovers tools<br/>• Routes requests<br/>• Manages connections]
-    end
-
-    subgraph "MCP Servers"
-        Server1[Web Search Server<br/>localhost:8001<br/>• PubMed<br/>• arXiv<br/>• bioRxiv]
-        Server2[Code Execution Server<br/>localhost:8002<br/>• Sandboxed Python<br/>• Package management]
-        Server3[RAG Server<br/>localhost:8003<br/>• Vector embeddings<br/>• Similarity search]
-        Server4[Visualization Server<br/>localhost:8004<br/>• Chart generation<br/>• Plot rendering]
-    end
-
-    subgraph "External Services"
-        PubMed[PubMed API]
-        ArXiv[arXiv API]
-        BioRxiv[bioRxiv API]
-        Modal[Modal Sandbox]
-        ChromaDB[(ChromaDB)]
-    end
-
-    SearchAgent -->|Request| Registry
-    AnalysisAgent -->|Request| Registry
-    ReportAgent -->|Request| Registry
-
-    Registry --> Server1
-    Registry --> Server2
-    Registry --> Server3
-    Registry --> Server4
-
-    Server1 --> PubMed
-    Server1 --> ArXiv
-    Server1 --> BioRxiv
-    Server2 --> Modal
-    Server3 --> ChromaDB
-
-    style Manager fill:#ffe6e6
-    style Registry fill:#fff4e6
-    style Server1 fill:#e6f3ff
-    style Server2 fill:#e6f3ff
-    style Server3 fill:#e6f3ff
-    style Server4 fill:#e6f3ff
-```
-
-## 12. Progress Tracking & Stall Detection
-
-```mermaid
-stateDiagram-v2
-    [*] --> Initialization: User Query
-
-    Initialization --> Planning: Manager starts
-
-    Planning --> AgentExecution: Select agent
-
-    AgentExecution --> Assessment: Collect results
-
-    Assessment --> QualityCheck: Evaluate output
-
-    QualityCheck --> AgentExecution: Poor quality<br/>(retry < max_rounds)
-    QualityCheck --> Planning: Poor quality<br/>(try different agent)
-    QualityCheck --> NextAgent: Good quality<br/>(task incomplete)
-    QualityCheck --> Synthesis: Good quality<br/>(task complete)
-
-    NextAgent --> AgentExecution: Select next agent
-
-    state StallDetection <<choice>>
-    Assessment --> StallDetection: Check progress
-    StallDetection --> Planning: No progress<br/>(stall count < max)
-    StallDetection --> ErrorRecovery: No progress<br/>(max stalls reached)
-
-    ErrorRecovery --> PartialReport: Generate partial results
-    PartialReport --> [*]
-
-    Synthesis --> FinalReport: Combine all outputs
-    FinalReport --> [*]
-
-    note right of QualityCheck
-        Manager assesses:
-        • Output completeness
-        • Quality metrics
-        • Progress made
-    end note
-
-    note right of StallDetection
-        Stall = no new progress
-        after agent execution
-        Triggers plan reset
-    end note
-```
-
-## 13. Gradio UI Integration
-
-```mermaid
-graph TD
-    App[Gradio App<br/>DeepCritical Research Agent]
-
-    App --> Input[Input Section]
-    App --> Status[Status Section]
-    App --> Output[Output Section]
-
-    Input --> Query[Research Question<br/>Text Area]
-    Input --> Controls[Controls]
-    Controls --> MaxHyp[Max Hypotheses: 1-10]
-    Controls --> MaxRounds[Max Rounds: 5-20]
-    Controls --> Submit[Start Research Button]
-
-    Status --> Log[Real-time Event Log<br/>• Manager planning<br/>• Agent selection<br/>• Execution updates<br/>• Quality assessment]
-    Status --> Progress[Progress Tracker<br/>• Current agent<br/>• Round count<br/>• Stall count]
-
-    Output --> Tabs[Tabbed Results]
-    Tabs --> Tab1[Hypotheses Tab<br/>Generated hypotheses with scores]
-    Tabs --> Tab2[Search Results Tab<br/>Papers & sources found]
-    Tabs --> Tab3[Analysis Tab<br/>Evidence & verdicts]
-    Tabs --> Tab4[Report Tab<br/>Final research report]
-    Tab4 --> Download[Download Report<br/>MD / PDF / JSON]
-
-    Submit -.->|Triggers| Workflow[Magentic Workflow]
-    Workflow -.->|MagenticOrchestratorMessageEvent| Log
-    Workflow -.->|MagenticAgentDeltaEvent| Log
-    Workflow -.->|MagenticAgentMessageEvent| Log
-    Workflow -.->|MagenticFinalResultEvent| Tab4
-
-    style App fill:#e1f5e1
-    style Input fill:#fff4e6
-    style Status fill:#e6f3ff
-    style Output fill:#e6ffe6
-    style Workflow fill:#ffe6e6
-```
-
-## 14. Complete System Context
-
-```mermaid
-graph LR
-    User[👤 Researcher<br/>Asks research questions] -->|Submits query| DC[DeepCritical<br/>Magentic Workflow]
-
-    DC -->|Literature search| PubMed[PubMed API<br/>Medical papers]
-    DC -->|Preprint search| ArXiv[arXiv API<br/>Scientific preprints]
-    DC -->|Biology search| BioRxiv[bioRxiv API<br/>Biology preprints]
-    DC -->|Agent reasoning| Claude[Claude API<br/>Sonnet 4 / Opus]
-    DC -->|Code execution| Modal[Modal Sandbox<br/>Safe Python env]
-    DC -->|Vector storage| Chroma[ChromaDB<br/>Embeddings & RAG]
-
-    DC -->|Deployed on| HF[HuggingFace Spaces<br/>Gradio 6.0]
-
-    PubMed -->|Results| DC
-    ArXiv -->|Results| DC
-    BioRxiv -->|Results| DC
-    Claude -->|Responses| DC
-    Modal -->|Output| DC
-    Chroma -->|Context| DC
-
-    DC -->|Research report| User
-
-    style User fill:#e1f5e1
-    style DC fill:#ffe6e6
-    style PubMed fill:#e6f3ff
-    style ArXiv fill:#e6f3ff
-    style BioRxiv fill:#e6f3ff
-    style Claude fill:#ffd6d6
-    style Modal fill:#f0f0f0
-    style Chroma fill:#ffe6f0
-    style HF fill:#d4edda
-```
-
-## 15. Workflow Timeline (Simplified)
-
-```mermaid
-gantt
-    title DeepCritical Magentic Workflow - Typical Execution
-    dateFormat mm:ss
-    axisFormat %M:%S
-
-    section Manager Planning
-    Initial planning         :p1, 00:00, 10s
-
-    section Hypothesis Agent
-    Generate hypotheses      :h1, after p1, 30s
-    Manager assessment       :h2, after h1, 5s
-
-    section Search Agent
-    Search hypothesis 1      :s1, after h2, 20s
-    Search hypothesis 2      :s2, after s1, 20s
-    Search hypothesis 3      :s3, after s2, 20s
-    RAG processing          :s4, after s3, 15s
-    Manager assessment      :s5, after s4, 5s
-
-    section Analysis Agent
-    Evidence extraction     :a1, after s5, 15s
-    Code generation        :a2, after a1, 20s
-    Code execution         :a3, after a2, 25s
-    Synthesis              :a4, after a3, 20s
-    Manager assessment     :a5, after a4, 5s
-
-    section Report Agent
-    Report assembly        :r1, after a5, 30s
-    Visualization          :r2, after r1, 15s
-    Formatting             :r3, after r2, 10s
-
-    section Manager Synthesis
-    Final synthesis        :f1, after r3, 10s
-```
-
----
-
-## Key Differences from Original Design
-
-| Aspect | Original (Judge-in-Loop) | New (Magentic) |
-|--------|-------------------------|----------------|
-| **Control Flow** | Fixed sequential phases | Dynamic agent selection |
-| **Quality Control** | Separate Judge Agent | Manager assessment built-in |
-| **Retry Logic** | Phase-level with feedback | Agent-level with adaptation |
-| **Flexibility** | Rigid 4-phase pipeline | Adaptive workflow |
-| **Complexity** | 5 agents (including Judge) | 4 agents (no Judge) |
-| **Progress Tracking** | Manual state management | Built-in round/stall detection |
-| **Agent Coordination** | Sequential handoff | Manager-driven dynamic selection |
-| **Error Recovery** | Retry same phase | Try different agent or replan |
-
----
-
-## Simplified Design Principles
-
-1. **Manager is Intelligent**: LLM-powered manager handles planning, selection, and quality assessment
-2. **No Separate Judge**: Manager's assessment phase replaces dedicated Judge Agent
-3. **Dynamic Workflow**: Agents can be called multiple times in any order based on need
-4. **Built-in Safety**: max_round_count (15) and max_stall_count (3) prevent infinite loops
-5. **Event-Driven UI**: Real-time streaming updates to Gradio interface
-6. **MCP-Powered Tools**: All external capabilities via Model Context Protocol
-7. **Shared Context**: Centralized state accessible to all agents
-8. **Progress Awareness**: Manager tracks what's been done and what's needed
-
----
-
-## Legend
-
-- 🔴 **Red/Pink**: Manager, orchestration, decision-making
-- 🟡 **Yellow/Orange**: Specialist agents, processing
-- 🔵 **Blue**: Data, tools, MCP services
-- 🟣 **Purple/Pink**: Storage, databases, state
-- 🟢 **Green**: User interactions, final outputs
-- ⚪ **Gray**: External services, APIs
-
----
-
-## Implementation Highlights
-
-**Simple 4-Agent Setup:**
-
-<!--codeinclude-->
-[Magentic Workflow Builder](../src/orchestrator_magentic.py) start_line:72 end_line:99
-<!--/codeinclude-->
-
-**Manager handles quality assessment in its instructions:**
-- Checks hypothesis quality (testable, novel, clear)
-- Validates search results (relevant, authoritative, recent)
-- Assesses analysis soundness (methodology, evidence, conclusions)
-- Ensures report completeness (all sections, proper citations)
-
-No separate Judge Agent needed - manager does it all!
-
----
-
-**Document Version**: 2.0 (Magentic Simplified)
-**Last Updated**: 2025-11-24
-**Architecture**: Microsoft Magentic Orchestration Pattern
-**Agents**: 4 (Hypothesis, Search, Analysis, Report) + 1 Manager
-**License**: MIT
-
-## See Also
-
-- [Orchestrators](orchestrators.md) - Overview of all orchestrator patterns
-- [Graph Orchestration](graph_orchestration.md) - Graph-based execution overview
-- [API Reference - Orchestrators](../api/orchestrators.md) - API documentation
\ No newline at end of file
diff --git a/docs/configuration/index.md b/docs/configuration/index.md
deleted file mode 100644
index 729345de47dee08be61b75fcf74e8ac91438ce21..0000000000000000000000000000000000000000
--- a/docs/configuration/index.md
+++ /dev/null
@@ -1,564 +0,0 @@
-# Configuration Guide
-
-## Overview
-
-DeepCritical uses **Pydantic Settings** for centralized configuration management. All settings are defined in the `Settings` class in `src/utils/config.py` and can be configured via environment variables or a `.env` file.
-
-The configuration system provides:
-
-- **Type Safety**: Strongly-typed fields with Pydantic validation
-- **Environment File Support**: Automatically loads from `.env` file (if present)
-- **Case-Insensitive**: Environment variables are case-insensitive
-- **Singleton Pattern**: Global `settings` instance for easy access throughout the codebase
-- **Validation**: Automatic validation on load with helpful error messages
-
-## Quick Start
-
-1. Create a `.env` file in the project root
-2. Set at least one LLM API key (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, or `HF_TOKEN`)
-3. Optionally configure other services as needed
-4. The application will automatically load and validate your configuration
-
-## Configuration System Architecture
-
-### Settings Class
-
-The [`Settings`][settings-class] class extends `BaseSettings` from `pydantic_settings` and defines all application configuration:
-
-<!--codeinclude-->
-[Settings Class Definition](../src/utils/config.py) start_line:13 end_line:21
-<!--/codeinclude-->
-
-[View source](https://github.com/DeepCritical/GradioDemo/blob/main/src/utils/config.py#L13-L21)
-
-### Singleton Instance
-
-A global `settings` instance is available for import:
-
-<!--codeinclude-->
-[Singleton Instance](../src/utils/config.py) start_line:234 end_line:235
-<!--/codeinclude-->
-
-[View source](https://github.com/DeepCritical/GradioDemo/blob/main/src/utils/config.py#L234-L235)
-
-### Usage Pattern
-
-Access configuration throughout the codebase:
-
-```python
-from src.utils.config import settings
-
-# Check if API keys are available
-if settings.has_openai_key:
-    # Use OpenAI
-    pass
-
-# Access configuration values
-max_iterations = settings.max_iterations
-web_search_provider = settings.web_search_provider
-```
-
-## Required Configuration
-
-### LLM Provider
-
-You must configure at least one LLM provider. The system supports:
-
-- **OpenAI**: Requires `OPENAI_API_KEY`
-- **Anthropic**: Requires `ANTHROPIC_API_KEY`
-- **HuggingFace**: Optional `HF_TOKEN` or `HUGGINGFACE_API_KEY` (can work without key for public models)
-
-#### OpenAI Configuration
-
-```bash
-LLM_PROVIDER=openai
-OPENAI_API_KEY=your_openai_api_key_here
-OPENAI_MODEL=gpt-5.1
-```
-
-The default model is defined in the `Settings` class:
-
-<!--codeinclude-->
-[OpenAI Model Configuration](../src/utils/config.py) start_line:29 end_line:29
-<!--/codeinclude-->
-
-#### Anthropic Configuration
-
-```bash
-LLM_PROVIDER=anthropic
-ANTHROPIC_API_KEY=your_anthropic_api_key_here
-ANTHROPIC_MODEL=claude-sonnet-4-5-20250929
-```
-
-The default model is defined in the `Settings` class:
-
-<!--codeinclude-->
-[Anthropic Model Configuration](../src/utils/config.py) start_line:30 end_line:32
-<!--/codeinclude-->
-
-#### HuggingFace Configuration
-
-HuggingFace can work without an API key for public models, but an API key provides higher rate limits:
-
-```bash
-# Option 1: Using HF_TOKEN (preferred)
-HF_TOKEN=your_huggingface_token_here
-
-# Option 2: Using HUGGINGFACE_API_KEY (alternative)
-HUGGINGFACE_API_KEY=your_huggingface_api_key_here
-
-# Default model
-HUGGINGFACE_MODEL=meta-llama/Llama-3.1-8B-Instruct
-```
-
-The HuggingFace token can be set via either environment variable:
-
-<!--codeinclude-->
-[HuggingFace Token Configuration](../src/utils/config.py) start_line:33 end_line:35
-<!--/codeinclude-->
-
-<!--codeinclude-->
-[HuggingFace API Key Configuration](../src/utils/config.py) start_line:57 end_line:59
-<!--/codeinclude-->
-
-## Optional Configuration
-
-### Embedding Configuration
-
-DeepCritical supports multiple embedding providers for semantic search and RAG:
-
-```bash
-# Embedding Provider: "openai", "local", or "huggingface"
-EMBEDDING_PROVIDER=local
-
-# OpenAI Embedding Model (used by LlamaIndex RAG)
-OPENAI_EMBEDDING_MODEL=text-embedding-3-small
-
-# Local Embedding Model (sentence-transformers, used by EmbeddingService)
-LOCAL_EMBEDDING_MODEL=all-MiniLM-L6-v2
-
-# HuggingFace Embedding Model
-HUGGINGFACE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
-```
-
-The embedding provider configuration:
-
-<!--codeinclude-->
-[Embedding Provider Configuration](../src/utils/config.py) start_line:47 end_line:50
-<!--/codeinclude-->
-
-**Note**: OpenAI embeddings require `OPENAI_API_KEY`. The local provider (default) uses sentence-transformers and requires no API key.
-
-### Web Search Configuration
-
-DeepCritical supports multiple web search providers:
-
-```bash
-# Web Search Provider: "serper", "searchxng", "brave", "tavily", or "duckduckgo"
-# Default: "duckduckgo" (no API key required)
-WEB_SEARCH_PROVIDER=duckduckgo
-
-# Serper API Key (for Google search via Serper)
-SERPER_API_KEY=your_serper_api_key_here
-
-# SearchXNG Host URL (for self-hosted search)
-SEARCHXNG_HOST=http://localhost:8080
-
-# Brave Search API Key
-BRAVE_API_KEY=your_brave_api_key_here
-
-# Tavily API Key
-TAVILY_API_KEY=your_tavily_api_key_here
-```
-
-The web search provider configuration:
-
-<!--codeinclude-->
-[Web Search Provider Configuration](../src/utils/config.py) start_line:71 end_line:74
-<!--/codeinclude-->
-
-**Note**: DuckDuckGo is the default and requires no API key, making it ideal for development and testing.
-
-### PubMed Configuration
-
-PubMed search supports optional NCBI API key for higher rate limits:
-
-```bash
-# NCBI API Key (optional, for higher rate limits: 10 req/sec vs 3 req/sec)
-NCBI_API_KEY=your_ncbi_api_key_here
-```
-
-The PubMed tool uses this configuration:
-
-<!--codeinclude-->
-[PubMed Tool Configuration](../src/tools/pubmed.py) start_line:22 end_line:29
-<!--/codeinclude-->
-
-### Agent Configuration
-
-Control agent behavior and research loop execution:
-
-```bash
-# Maximum iterations per research loop (1-50, default: 10)
-MAX_ITERATIONS=10
-
-# Search timeout in seconds
-SEARCH_TIMEOUT=30
-
-# Use graph-based execution for research flows
-USE_GRAPH_EXECUTION=false
-```
-
-The agent configuration fields:
-
-<!--codeinclude-->
-[Agent Configuration](../src/utils/config.py) start_line:80 end_line:85
-<!--/codeinclude-->
-
-### Budget & Rate Limiting Configuration
-
-Control resource limits for research loops:
-
-```bash
-# Default token budget per research loop (1000-1000000, default: 100000)
-DEFAULT_TOKEN_LIMIT=100000
-
-# Default time limit per research loop in minutes (1-120, default: 10)
-DEFAULT_TIME_LIMIT_MINUTES=10
-
-# Default iterations limit per research loop (1-50, default: 10)
-DEFAULT_ITERATIONS_LIMIT=10
-```
-
-The budget configuration with validation:
-
-<!--codeinclude-->
-[Budget Configuration](../src/utils/config.py) start_line:87 end_line:105
-<!--/codeinclude-->
-
-### RAG Service Configuration
-
-Configure the Retrieval-Augmented Generation service:
-
-```bash
-# ChromaDB collection name for RAG
-RAG_COLLECTION_NAME=deepcritical_evidence
-
-# Number of top results to retrieve from RAG (1-50, default: 5)
-RAG_SIMILARITY_TOP_K=5
-
-# Automatically ingest evidence into RAG
-RAG_AUTO_INGEST=true
-```
-
-The RAG configuration:
-
-<!--codeinclude-->
-[RAG Service Configuration](../src/utils/config.py) start_line:127 end_line:141
-<!--/codeinclude-->
-
-### ChromaDB Configuration
-
-Configure the vector database for embeddings and RAG:
-
-```bash
-# ChromaDB storage path
-CHROMA_DB_PATH=./chroma_db
-
-# Whether to persist ChromaDB to disk
-CHROMA_DB_PERSIST=true
-
-# ChromaDB server host (for remote ChromaDB, optional)
-CHROMA_DB_HOST=localhost
-
-# ChromaDB server port (for remote ChromaDB, optional)
-CHROMA_DB_PORT=8000
-```
-
-The ChromaDB configuration:
-
-<!--codeinclude-->
-[ChromaDB Configuration](../src/utils/config.py) start_line:113 end_line:125
-<!--/codeinclude-->
-
-### External Services
-
-#### Modal Configuration
-
-Modal is used for secure sandbox execution of statistical analysis:
-
-```bash
-# Modal Token ID (for Modal sandbox execution)
-MODAL_TOKEN_ID=your_modal_token_id_here
-
-# Modal Token Secret
-MODAL_TOKEN_SECRET=your_modal_token_secret_here
-```
-
-The Modal configuration:
-
-<!--codeinclude-->
-[Modal Configuration](../src/utils/config.py) start_line:110 end_line:112
-<!--/codeinclude-->
-
-### Logging Configuration
-
-Configure structured logging:
-
-```bash
-# Log Level: "DEBUG", "INFO", "WARNING", or "ERROR"
-LOG_LEVEL=INFO
-```
-
-The logging configuration:
-
-<!--codeinclude-->
-[Logging Configuration](../src/utils/config.py) start_line:107 end_line:108
-<!--/codeinclude-->
-
-Logging is configured via the `configure_logging()` function:
-
-<!--codeinclude-->
-[Configure Logging Function](../src/utils/config.py) start_line:212 end_line:231
-<!--/codeinclude-->
-
-## Configuration Properties
-
-The `Settings` class provides helpful properties for checking configuration state:
-
-### API Key Availability
-
-Check which API keys are available:
-
-<!--codeinclude-->
-[API Key Availability Properties](../src/utils/config.py) start_line:171 end_line:189
-<!--/codeinclude-->
-
-**Usage:**
-
-```python
-from src.utils.config import settings
-
-# Check API key availability
-if settings.has_openai_key:
-    # Use OpenAI
-    pass
-
-if settings.has_anthropic_key:
-    # Use Anthropic
-    pass
-
-if settings.has_huggingface_key:
-    # Use HuggingFace
-    pass
-
-if settings.has_any_llm_key:
-    # At least one LLM is available
-    pass
-```
-
-### Service Availability
-
-Check if external services are configured:
-
-<!--codeinclude-->
-[Modal Availability Property](../src/utils/config.py) start_line:143 end_line:146
-<!--/codeinclude-->
-
-<!--codeinclude-->
-[Web Search Availability Property](../src/utils/config.py) start_line:191 end_line:204
-<!--/codeinclude-->
-
-**Usage:**
-
-```python
-from src.utils.config import settings
-
-# Check service availability
-if settings.modal_available:
-    # Use Modal sandbox
-    pass
-
-if settings.web_search_available:
-    # Web search is configured
-    pass
-```
-
-### API Key Retrieval
-
-Get the API key for the configured provider:
-
-<!--codeinclude-->
-[Get API Key Method](../src/utils/config.py) start_line:148 end_line:160
-<!--/codeinclude-->
-
-For OpenAI-specific operations (e.g., Magentic mode):
-
-<!--codeinclude-->
-[Get OpenAI API Key Method](../src/utils/config.py) start_line:162 end_line:169
-<!--/codeinclude-->
-
-## Configuration Usage in Codebase
-
-The configuration system is used throughout the codebase:
-
-### LLM Factory
-
-The LLM factory uses settings to create appropriate models:
-
-<!--codeinclude-->
-[LLM Factory Usage](../src/utils/llm_factory.py) start_line:129 end_line:144
-<!--/codeinclude-->
-
-### Embedding Service
-
-The embedding service uses local embedding model configuration:
-
-<!--codeinclude-->
-[Embedding Service Usage](../src/services/embeddings.py) start_line:29 end_line:31
-<!--/codeinclude-->
-
-### Orchestrator Factory
-
-The orchestrator factory uses settings to determine mode:
-
-<!--codeinclude-->
-[Orchestrator Factory Mode Detection](../src/orchestrator_factory.py) start_line:69 end_line:80
-<!--/codeinclude-->
-
-## Environment Variables Reference
-
-### Required (at least one LLM)
-
-- `OPENAI_API_KEY` - OpenAI API key (required for OpenAI provider)
-- `ANTHROPIC_API_KEY` - Anthropic API key (required for Anthropic provider)
-- `HF_TOKEN` or `HUGGINGFACE_API_KEY` - HuggingFace API token (optional, can work without for public models)
-
-#### LLM Configuration Variables
-
-- `LLM_PROVIDER` - Provider to use: `"openai"`, `"anthropic"`, or `"huggingface"` (default: `"huggingface"`)
-- `OPENAI_MODEL` - OpenAI model name (default: `"gpt-5.1"`)
-- `ANTHROPIC_MODEL` - Anthropic model name (default: `"claude-sonnet-4-5-20250929"`)
-- `HUGGINGFACE_MODEL` - HuggingFace model ID (default: `"meta-llama/Llama-3.1-8B-Instruct"`)
-
-#### Embedding Configuration Variables
-
-- `EMBEDDING_PROVIDER` - Provider: `"openai"`, `"local"`, or `"huggingface"` (default: `"local"`)
-- `OPENAI_EMBEDDING_MODEL` - OpenAI embedding model (default: `"text-embedding-3-small"`)
-- `LOCAL_EMBEDDING_MODEL` - Local sentence-transformers model (default: `"all-MiniLM-L6-v2"`)
-- `HUGGINGFACE_EMBEDDING_MODEL` - HuggingFace embedding model (default: `"sentence-transformers/all-MiniLM-L6-v2"`)
-
-#### Web Search Configuration Variables
-
-- `WEB_SEARCH_PROVIDER` - Provider: `"serper"`, `"searchxng"`, `"brave"`, `"tavily"`, or `"duckduckgo"` (default: `"duckduckgo"`)
-- `SERPER_API_KEY` - Serper API key (required for Serper provider)
-- `SEARCHXNG_HOST` - SearchXNG host URL (required for SearchXNG provider)
-- `BRAVE_API_KEY` - Brave Search API key (required for Brave provider)
-- `TAVILY_API_KEY` - Tavily API key (required for Tavily provider)
-
-#### PubMed Configuration Variables
-
-- `NCBI_API_KEY` - NCBI API key (optional, increases rate limit from 3 to 10 req/sec)
-
-#### Agent Configuration Variables
-
-- `MAX_ITERATIONS` - Maximum iterations per research loop (1-50, default: `10`)
-- `SEARCH_TIMEOUT` - Search timeout in seconds (default: `30`)
-- `USE_GRAPH_EXECUTION` - Use graph-based execution (default: `false`)
-
-#### Budget Configuration Variables
-
-- `DEFAULT_TOKEN_LIMIT` - Default token budget per research loop (1000-1000000, default: `100000`)
-- `DEFAULT_TIME_LIMIT_MINUTES` - Default time limit in minutes (1-120, default: `10`)
-- `DEFAULT_ITERATIONS_LIMIT` - Default iterations limit (1-50, default: `10`)
-
-#### RAG Configuration Variables
-
-- `RAG_COLLECTION_NAME` - ChromaDB collection name (default: `"deepcritical_evidence"`)
-- `RAG_SIMILARITY_TOP_K` - Number of top results to retrieve (1-50, default: `5`)
-- `RAG_AUTO_INGEST` - Automatically ingest evidence into RAG (default: `true`)
-
-#### ChromaDB Configuration Variables
-
-- `CHROMA_DB_PATH` - ChromaDB storage path (default: `"./chroma_db"`)
-- `CHROMA_DB_PERSIST` - Whether to persist ChromaDB to disk (default: `true`)
-- `CHROMA_DB_HOST` - ChromaDB server host (optional, for remote ChromaDB)
-- `CHROMA_DB_PORT` - ChromaDB server port (optional, for remote ChromaDB)
-
-#### External Services Variables
-
-- `MODAL_TOKEN_ID` - Modal token ID (optional, for Modal sandbox execution)
-- `MODAL_TOKEN_SECRET` - Modal token secret (optional, for Modal sandbox execution)
-
-#### Logging Configuration Variables
-
-- `LOG_LEVEL` - Log level: `"DEBUG"`, `"INFO"`, `"WARNING"`, or `"ERROR"` (default: `"INFO"`)
-
-## Validation
-
-Settings are validated on load using Pydantic validation:
-
-- **Type Checking**: All fields are strongly typed
-- **Range Validation**: Numeric fields have min/max constraints (e.g., `ge=1, le=50` for `max_iterations`)
-- **Literal Validation**: Enum fields only accept specific values (e.g., `Literal["openai", "anthropic", "huggingface"]`)
-- **Required Fields**: API keys are checked when accessed via `get_api_key()` or `get_openai_api_key()`
-
-### Validation Examples
-
-The `max_iterations` field has range validation:
-
-<!--codeinclude-->
-[Max Iterations Validation](../src/utils/config.py) start_line:81 end_line:81
-<!--/codeinclude-->
-
-The `llm_provider` field has literal validation:
-
-<!--codeinclude-->
-[LLM Provider Literal Validation](../src/utils/config.py) start_line:26 end_line:28
-<!--/codeinclude-->
-
-## Error Handling
-
-Configuration errors raise `ConfigurationError` from `src/utils/exceptions.py`:
-
-```22:25:src/utils/exceptions.py
-class ConfigurationError(DeepCriticalError):
-    """Raised when configuration is invalid."""
-
-    pass
-```
-
-### Error Handling Example
-
-```python
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-try:
-    api_key = settings.get_api_key()
-except ConfigurationError as e:
-    print(f"Configuration error: {e}")
-```
-
-### Common Configuration Errors
-
-1. **Missing API Key**: When `get_api_key()` is called but the required API key is not set
-2. **Invalid Provider**: When `llm_provider` is set to an unsupported value
-3. **Out of Range**: When numeric values exceed their min/max constraints
-4. **Invalid Literal**: When enum fields receive unsupported values
-
-## Configuration Best Practices
-
-1. **Use `.env` File**: Store sensitive keys in `.env` file (add to `.gitignore`)
-2. **Check Availability**: Use properties like `has_openai_key` before accessing API keys
-3. **Handle Errors**: Always catch `ConfigurationError` when calling `get_api_key()`
-4. **Validate Early**: Configuration is validated on import, so errors surface immediately
-5. **Use Defaults**: Leverage sensible defaults for optional configuration
-
-## Future Enhancements
-
-The following configurations are planned for future phases:
-
-1. **Additional LLM Providers**: DeepSeek, OpenRouter, Gemini, Perplexity, Azure OpenAI, Local models
-2. **Model Selection**: Reasoning/main/fast model configuration
-3. **Service Integration**: Additional service integrations and configurations
diff --git a/docs/contributing/code-quality.md b/docs/contributing/code-quality.md
deleted file mode 100644
index 8e8bcf54bf5a77296abcb3581730e07c3d489274..0000000000000000000000000000000000000000
--- a/docs/contributing/code-quality.md
+++ /dev/null
@@ -1,120 +0,0 @@
-# Code Quality & Documentation
-
-This document outlines code quality standards and documentation requirements for The DETERMINATOR.
-
-## Linting
-
-- Ruff with 100-char line length
-- Ignore rules documented in `pyproject.toml`:
-  - `PLR0913`: Too many arguments (agents need many params)
-  - `PLR0912`: Too many branches (complex orchestrator logic)
-  - `PLR0911`: Too many return statements (complex agent logic)
-  - `PLR2004`: Magic values (statistical constants)
-  - `PLW0603`: Global statement (singleton pattern)
-  - `PLC0415`: Lazy imports for optional dependencies
-  - `E402`: Module level import not at top (needed for pytest.importorskip)
-  - `E501`: Line too long (ignore line length violations)
-  - `RUF100`: Unused noqa (version differences between local/CI)
-
-## Type Checking
-
-- `mypy --strict` compliance
-- `ignore_missing_imports = true` (for optional dependencies)
-- Exclude: `reference_repos/`, `examples/`
-- All functions must have complete type annotations
-
-## Pre-commit
-
-Pre-commit hooks run automatically on commit to ensure code quality. Configuration is in `.pre-commit-config.yaml`.
-
-### Installation
-
-```bash
-# Install dependencies (includes pre-commit package)
-uv sync --all-extras
-
-# Set up git hooks (must be run separately)
-uv run pre-commit install
-```
-
-**Note**: `uv sync --all-extras` installs the pre-commit package, but you must run `uv run pre-commit install` separately to set up the git hooks.
-
-### Pre-commit Hooks
-
-The following hooks run automatically on commit:
-
-1. **ruff**: Lints code and fixes issues automatically
-   - Runs on: `src/` (excludes `tests/`, `reference_repos/`)
-   - Auto-fixes: Yes
-
-2. **ruff-format**: Formats code with ruff
-   - Runs on: `src/` (excludes `tests/`, `reference_repos/`)
-   - Auto-fixes: Yes
-
-3. **mypy**: Type checking
-   - Runs on: `src/` (excludes `folder/`)
-   - Additional dependencies: pydantic, pydantic-settings, tenacity, pydantic-ai
-
-4. **pytest-unit**: Runs unit tests (excludes OpenAI and embedding_provider tests)
-   - Runs: `tests/unit/` with `-m "not openai and not embedding_provider"`
-   - Always runs: Yes (not just on changed files)
-
-5. **pytest-local-embeddings**: Runs local embedding tests
-   - Runs: `tests/` with `-m "local_embeddings"`
-   - Always runs: Yes
-
-### Manual Pre-commit Run
-
-To run pre-commit hooks manually (without committing):
-
-```bash
-uv run pre-commit run --all-files
-```
-
-### Troubleshooting
-
-- **Hooks failing**: Fix the issues shown in the output, then commit again
-- **Skipping hooks**: Use `git commit --no-verify` (not recommended)
-- **Hook not running**: Ensure hooks are installed with `uv run pre-commit install`
-- **Type errors**: Check that all dependencies are installed with `uv sync --all-extras`
-
-## Documentation
-
-### Building Documentation
-
-Documentation is built using MkDocs. Source files are in `docs/`, and the configuration is in `mkdocs.yml`.
-
-```bash
-# Build documentation
-uv run mkdocs build
-
-# Serve documentation locally (http://127.0.0.1:8000)
-uv run mkdocs serve
-```
-
-The documentation site is published at: <https://deepcritical.github.io/GradioDemo/>
-
-### Docstrings
-
-- Google-style docstrings for all public functions
-- Include Args, Returns, Raises sections
-- Use type hints in docstrings only if needed for clarity
-
-Example:
-
-<!--codeinclude-->
-[Search Method Docstring Example](../src/tools/pubmed.py) start_line:51 end_line:70
-<!--/codeinclude-->
-
-### Code Comments
-
-- Explain WHY, not WHAT
-- Document non-obvious patterns (e.g., why `requests` not `httpx` for ClinicalTrials)
-- Mark critical sections: `# CRITICAL: ...`
-- Document rate limiting rationale
-- Explain async patterns when non-obvious
-
-## See Also
-
-- [Code Style](code-style.md) - Code style guidelines
-- [Testing](testing.md) - Testing guidelines
diff --git a/docs/contributing/code-style.md b/docs/contributing/code-style.md
deleted file mode 100644
index e6f0b32ca5a90082e9c2789738f7ee2c44aab35f..0000000000000000000000000000000000000000
--- a/docs/contributing/code-style.md
+++ /dev/null
@@ -1,83 +0,0 @@
-# Code Style & Conventions
-
-This document outlines the code style and conventions for The DETERMINATOR.
-
-## Package Manager
-
-This project uses [`uv`](https://github.com/astral-sh/uv) as the package manager. All commands should be prefixed with `uv run` to ensure they run in the correct environment.
-
-### Installation
-
-```bash
-# Install uv if you haven't already (recommended: standalone installer)
-# Unix/macOS/Linux:
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
-# Windows (PowerShell):
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-
-# Alternative: pipx install uv
-# Or: pip install uv
-
-# Sync all dependencies including dev extras
-uv sync --all-extras
-```
-
-### Running Commands
-
-All development commands should use `uv run` prefix:
-
-```bash
-# Instead of: pytest tests/
-uv run pytest tests/
-
-# Instead of: ruff check src
-uv run ruff check src
-
-# Instead of: mypy src
-uv run mypy src
-```
-
-This ensures commands run in the correct virtual environment managed by `uv`.
-
-## Type Safety
-
-- **ALWAYS** use type hints for all function parameters and return types
-- Use `mypy --strict` compliance (no `Any` unless absolutely necessary)
-- Use `TYPE_CHECKING` imports for circular dependencies:
-
-<!--codeinclude-->
-[TYPE_CHECKING Import Pattern](../src/utils/citation_validator.py) start_line:8 end_line:11
-<!--/codeinclude-->
-
-## Pydantic Models
-
-- All data exchange uses Pydantic models (`src/utils/models.py`)
-- Models are frozen (`model_config = {"frozen": True}`) for immutability
-- Use `Field()` with descriptions for all model fields
-- Validate with `ge=`, `le=`, `min_length=`, `max_length=` constraints
-
-## Async Patterns
-
-- **ALL** I/O operations must be async (`async def`, `await`)
-- Use `asyncio.gather()` for parallel operations
-- CPU-bound work (embeddings, parsing) must use `run_in_executor()`:
-
-```python
-loop = asyncio.get_running_loop()
-result = await loop.run_in_executor(None, cpu_bound_function, args)
-```
-
-- Never block the event loop with synchronous I/O
-
-## Common Pitfalls
-
-1. **Blocking the event loop**: Never use sync I/O in async functions
-2. **Missing type hints**: All functions must have complete type annotations
-3. **Global mutable state**: Use ContextVar or pass via parameters
-4. **Import errors**: Lazy-load optional dependencies (magentic, modal, embeddings)
-
-## See Also
-
-- [Error Handling](error-handling.md) - Error handling guidelines
-- [Implementation Patterns](implementation-patterns.md) - Common patterns
diff --git a/docs/contributing/error-handling.md b/docs/contributing/error-handling.md
deleted file mode 100644
index 626fec9f5a5a7786813943d38c0673a3cb24d3c7..0000000000000000000000000000000000000000
--- a/docs/contributing/error-handling.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# Error Handling & Logging
-
-This document outlines error handling and logging conventions for The DETERMINATOR.
-
-## Exception Hierarchy
-
-Use custom exception hierarchy (`src/utils/exceptions.py`):
-
-<!--codeinclude-->
-[Exception Hierarchy](../src/utils/exceptions.py) start_line:4 end_line:31
-<!--/codeinclude-->
-
-## Error Handling Rules
-
-- Always chain exceptions: `raise SearchError(...) from e`
-- Log errors with context using `structlog`:
-
-```python
-logger.error("Operation failed", error=str(e), context=value)
-```
-
-- Never silently swallow exceptions
-- Provide actionable error messages
-
-## Logging
-
-- Use `structlog` for all logging (NOT `print` or `logging`)
-- Import: `import structlog; logger = structlog.get_logger()`
-- Log with structured data: `logger.info("event", key=value)`
-- Use appropriate levels: DEBUG, INFO, WARNING, ERROR
-
-## Logging Examples
-
-```python
-logger.info("Starting search", query=query, tools=[t.name for t in tools])
-logger.warning("Search tool failed", tool=tool.name, error=str(result))
-logger.error("Assessment failed", error=str(e))
-```
-
-## Error Chaining
-
-Always preserve exception context:
-
-```python
-try:
-    result = await api_call()
-except httpx.HTTPError as e:
-    raise SearchError(f"API call failed: {e}") from e
-```
-
-## See Also
-
-- [Code Style](code-style.md) - Code style guidelines
-- [Testing](testing.md) - Testing guidelines
diff --git a/docs/contributing/implementation-patterns.md b/docs/contributing/implementation-patterns.md
deleted file mode 100644
index 8590ec3ea4b226b13a388d027a52e70984ea553c..0000000000000000000000000000000000000000
--- a/docs/contributing/implementation-patterns.md
+++ /dev/null
@@ -1,67 +0,0 @@
-# Implementation Patterns
-
-This document outlines common implementation patterns used in The DETERMINATOR.
-
-## Search Tools
-
-All tools implement `SearchTool` protocol (`src/tools/base.py`):
-
-- Must have `name` property
-- Must implement `async def search(query, max_results) -> list[Evidence]`
-- Use `@retry` decorator from tenacity for resilience
-- Rate limiting: Implement `_rate_limit()` for APIs with limits (e.g., PubMed)
-- Error handling: Raise `SearchError` or `RateLimitError` on failures
-
-Example pattern:
-
-```python
-class MySearchTool:
-    @property
-    def name(self) -> str:
-        return "mytool"
-    
-    @retry(stop=stop_after_attempt(3), wait=wait_exponential(...))
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        # Implementation
-        return evidence_list
-```
-
-## Judge Handlers
-
-- Implement `JudgeHandlerProtocol` (`async def assess(question, evidence) -> JudgeAssessment`)
-- Use pydantic-ai `Agent` with `output_type=JudgeAssessment`
-- System prompts in `src/prompts/judge.py`
-- Support fallback handlers: `MockJudgeHandler`, `HFInferenceJudgeHandler`
-- Always return valid `JudgeAssessment` (never raise exceptions)
-
-## Agent Factory Pattern
-
-- Use factory functions for creating agents (`src/agent_factory/`)
-- Lazy initialization for optional dependencies (e.g., embeddings, Modal)
-- Check requirements before initialization:
-
-<!--codeinclude-->
-[Check Magentic Requirements](../src/utils/llm_factory.py) start_line:152 end_line:170
-<!--/codeinclude-->
-
-## State Management
-
-- **Magentic Mode**: Use `ContextVar` for thread-safe state (`src/agents/state.py`)
-- **Simple Mode**: Pass state via function parameters
-- Never use global mutable state (except singletons via `@lru_cache`)
-
-## Singleton Pattern
-
-Use `@lru_cache(maxsize=1)` for singletons:
-
-<!--codeinclude-->
-[Singleton Pattern Example](../src/services/statistical_analyzer.py) start_line:252 end_line:255
-<!--/codeinclude-->
-
-- Lazy initialization to avoid requiring dependencies at import time
-
-## See Also
-
-- [Code Style](code-style.md) - Code style guidelines
-- [Error Handling](error-handling.md) - Error handling guidelines
-
diff --git a/docs/contributing/index.md b/docs/contributing/index.md
deleted file mode 100644
index 466fcaf16f41e49dc36201307f95204ee7b9ef6c..0000000000000000000000000000000000000000
--- a/docs/contributing/index.md
+++ /dev/null
@@ -1,254 +0,0 @@
-# Contributing to The DETERMINATOR
-
-Thank you for your interest in contributing to The DETERMINATOR! This guide will help you get started.
-
-> **Note on Project Names**: "The DETERMINATOR" is the product name, "DeepCritical" is the organization/project name, and "determinator" is the Python package name.
-
-## Git Workflow
-
-- `main`: Production-ready (GitHub)
-- `dev`: Development integration (GitHub)
-- Use feature branches: `yourname-dev`
-- **NEVER** push directly to `main` or `dev` on HuggingFace
-- GitHub is source of truth; HuggingFace is for deployment
-
-## Repository Information
-
-- **GitHub Repository**: [`DeepCritical/GradioDemo`](https://github.com/DeepCritical/GradioDemo) (source of truth, PRs, code review)
-- **HuggingFace Space**: [`DataQuests/DeepCritical`](https://huggingface.co/spaces/DataQuests/DeepCritical) (deployment/demo)
-- **Package Name**: `determinator` (Python package name in `pyproject.toml`)
-
-### Dual Repository Setup
-
-This project uses a dual repository setup:
-
-- **GitHub (`DeepCritical/GradioDemo`)**: Source of truth for code, PRs, and code review
-- **HuggingFace (`DataQuests/DeepCritical`)**: Deployment target for the Gradio demo
-
-#### Remote Configuration
-
-When cloning, set up remotes as follows:
-
-```bash
-# Clone from GitHub
-git clone https://github.com/DeepCritical/GradioDemo.git
-cd GradioDemo
-
-# Add HuggingFace remote (optional, for deployment)
-git remote add huggingface-upstream https://huggingface.co/spaces/DataQuests/DeepCritical
-```
-
-**Important**: Never push directly to `main` or `dev` on HuggingFace. Always work through GitHub PRs. GitHub is the source of truth; HuggingFace is for deployment/demo only.
-
-## Package Manager
-
-This project uses [`uv`](https://github.com/astral-sh/uv) as the package manager. All commands should be prefixed with `uv run` to ensure they run in the correct environment.
-
-### Installation
-
-```bash
-# Install uv if you haven't already (recommended: standalone installer)
-# Unix/macOS/Linux:
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
-# Windows (PowerShell):
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-
-# Alternative: pipx install uv
-# Or: pip install uv
-
-# Sync all dependencies including dev extras
-uv sync --all-extras
-
-# Install pre-commit hooks
-uv run pre-commit install
-```
-
-## Development Commands
-
-```bash
-# Installation
-uv sync --all-extras              # Install all dependencies including dev
-uv run pre-commit install          # Install pre-commit hooks
-
-# Code Quality Checks (run all before committing)
-uv run ruff check src tests       # Lint with ruff
-uv run ruff format src tests      # Format with ruff
-uv run mypy src                   # Type checking
-uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire  # Tests with coverage
-
-# Testing Commands
-uv run pytest tests/unit/ -v -m "not openai" -p no:logfire              # Run unit tests (excludes OpenAI tests)
-uv run pytest tests/ -v -m "huggingface" -p no:logfire                 # Run HuggingFace tests
-uv run pytest tests/ -v -p no:logfire                                  # Run all tests
-uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire  # Tests with terminal coverage
-uv run pytest --cov=src --cov-report=html -p no:logfire                # Generate HTML coverage report (opens htmlcov/index.html)
-
-# Documentation Commands
-uv run mkdocs build                # Build documentation
-uv run mkdocs serve                # Serve documentation locally (http://127.0.0.1:8000)
-```
-
-### Test Markers
-
-The project uses pytest markers to categorize tests. See [Testing Guidelines](testing.md) for details:
-
-- `unit`: Unit tests (mocked, fast)
-- `integration`: Integration tests (real APIs)
-- `slow`: Slow tests
-- `openai`: Tests requiring OpenAI API key
-- `huggingface`: Tests requiring HuggingFace API key
-- `embedding_provider`: Tests requiring API-based embedding providers
-- `local_embeddings`: Tests using local embeddings
-
-**Note**: The `-p no:logfire` flag disables the logfire plugin to avoid conflicts during testing.
-
-## Getting Started
-
-1. **Fork the repository** on GitHub: [`DeepCritical/GradioDemo`](https://github.com/DeepCritical/GradioDemo)
-
-2. **Clone your fork**:
-
-   ```bash
-   git clone https://github.com/yourusername/GradioDemo.git
-   cd GradioDemo
-   ```
-
-3. **Install dependencies**:
-
-   ```bash
-   uv sync --all-extras
-   uv run pre-commit install
-   ```
-
-4. **Create a feature branch**:
-
-   ```bash
-   git checkout -b yourname-feature-name
-   ```
-
-5. **Make your changes** following the guidelines below
-
-6. **Run checks**:
-
-   ```bash
-   uv run ruff check src tests
-   uv run mypy src
-   uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire
-   ```
-
-7. **Commit and push**:
-
-   ```bash
-   git commit -m "Description of changes"
-   git push origin yourname-feature-name
-   ```
-
-8. **Create a pull request** on GitHub
-
-## Development Guidelines
-
-### Code Style
-
-- Follow [Code Style Guidelines](code-style.md)
-- All code must pass `mypy --strict`
-- Use `ruff` for linting and formatting
-- Line length: 100 characters
-
-### Error Handling
-
-- Follow [Error Handling Guidelines](error-handling.md)
-- Always chain exceptions: `raise SearchError(...) from e`
-- Use structured logging with `structlog`
-- Never silently swallow exceptions
-
-### Testing
-
-- Follow [Testing Guidelines](testing.md)
-- Write tests before implementation (TDD)
-- Aim for >80% coverage on critical paths
-- Use markers: `unit`, `integration`, `slow`
-
-### Implementation Patterns
-
-- Follow [Implementation Patterns](implementation-patterns.md)
-- Use factory functions for agent/tool creation
-- Implement protocols for extensibility
-- Use singleton pattern with `@lru_cache(maxsize=1)`
-
-### Prompt Engineering
-
-- Follow [Prompt Engineering Guidelines](prompt-engineering.md)
-- Always validate citations
-- Use diverse evidence selection
-- Never trust LLM-generated citations without validation
-
-### Code Quality
-
-- Follow [Code Quality Guidelines](code-quality.md)
-- Google-style docstrings for all public functions
-- Explain WHY, not WHAT in comments
-- Mark critical sections: `# CRITICAL: ...`
-
-## MCP Integration
-
-### MCP Tools
-
-- Functions in `src/mcp_tools.py` for Claude Desktop
-- Full type hints required
-- Google-style docstrings with Args/Returns sections
-- Formatted string returns (markdown)
-
-### Gradio MCP Server
-
-- Enable with `mcp_server=True` in `demo.launch()`
-- Endpoint: `/gradio_api/mcp/`
-- Use `ssr_mode=False` to fix hydration issues in HF Spaces
-
-## Common Pitfalls
-
-1. **Blocking the event loop**: Never use sync I/O in async functions
-2. **Missing type hints**: All functions must have complete type annotations
-3. **Hallucinated citations**: Always validate references
-4. **Global mutable state**: Use ContextVar or pass via parameters
-5. **Import errors**: Lazy-load optional dependencies (magentic, modal, embeddings)
-6. **Rate limiting**: Always implement for external APIs
-7. **Error chaining**: Always use `from e` when raising exceptions
-
-## Key Principles
-
-1. **Type Safety First**: All code must pass `mypy --strict`
-2. **Async Everything**: All I/O must be async
-3. **Test-Driven**: Write tests before implementation
-4. **No Hallucinations**: Validate all citations
-5. **Graceful Degradation**: Support free tier (HF Inference) when no API keys
-6. **Lazy Loading**: Don't require optional dependencies at import time
-7. **Structured Logging**: Use structlog, never print()
-8. **Error Chaining**: Always preserve exception context
-
-## Pull Request Process
-
-1. Ensure all checks pass: `uv run ruff check src tests && uv run mypy src && uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire`
-2. Update documentation if needed
-3. Add tests for new features
-4. Update CHANGELOG if applicable
-5. Request review from maintainers
-6. Address review feedback
-7. Wait for approval before merging
-
-## Project Structure
-
-- `src/`: Main source code
-- `tests/`: Test files (`unit/` and `integration/`)
-- `docs/`: Documentation source files (MkDocs)
-- `examples/`: Example usage scripts
-- `pyproject.toml`: Project configuration and dependencies
-- `.pre-commit-config.yaml`: Pre-commit hook configuration
-
-## Questions?
-
-- Open an issue on [GitHub](https://github.com/DeepCritical/GradioDemo)
-- Check existing [documentation](https://deepcritical.github.io/GradioDemo/)
-- Review code examples in the codebase
-
-Thank you for contributing to The DETERMINATOR!
diff --git a/docs/contributing/prompt-engineering.md b/docs/contributing/prompt-engineering.md
deleted file mode 100644
index c90cd094112854a3eda7b05f705871ce77b6874f..0000000000000000000000000000000000000000
--- a/docs/contributing/prompt-engineering.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Prompt Engineering & Citation Validation
-
-This document outlines prompt engineering guidelines and citation validation rules.
-
-## Judge Prompts
-
-- System prompt in `src/prompts/judge.py`
-- Format evidence with truncation (1500 chars per item)
-- Handle empty evidence case separately
-- Always request structured JSON output
-- Use `format_user_prompt()` and `format_empty_evidence_prompt()` helpers
-
-## Hypothesis Prompts
-
-- Use diverse evidence selection (MMR algorithm)
-- Sentence-aware truncation (`truncate_at_sentence()`)
-- Format: Drug → Target → Pathway → Effect
-- System prompt emphasizes mechanistic reasoning
-- Use `format_hypothesis_prompt()` with embeddings for diversity
-
-## Report Prompts
-
-- Include full citation details for validation
-- Use diverse evidence selection (n=20)
-- **CRITICAL**: Emphasize citation validation rules
-- Format hypotheses with support/contradiction counts
-- System prompt includes explicit JSON structure requirements
-
-## Citation Validation
-
-- **ALWAYS** validate references before returning reports
-- Use `validate_references()` from `src/utils/citation_validator.py`
-- Remove hallucinated citations (URLs not in evidence)
-- Log warnings for removed citations
-- Never trust LLM-generated citations without validation
-
-## Citation Validation Rules
-
-1. Every reference URL must EXACTLY match a provided evidence URL
-2. Do NOT invent, fabricate, or hallucinate any references
-3. Do NOT modify paper titles, authors, dates, or URLs
-4. If unsure about a citation, OMIT it rather than guess
-5. Copy URLs exactly as provided - do not create similar-looking URLs
-
-## Evidence Selection
-
-- Use `select_diverse_evidence()` for MMR-based selection
-- Balance relevance vs diversity (lambda=0.7 default)
-- Sentence-aware truncation preserves meaning
-- Limit evidence per prompt to avoid context overflow
-
-## See Also
-
-- [Code Quality](code-quality.md) - Code quality guidelines
-- [Error Handling](error-handling.md) - Error handling guidelines
diff --git a/docs/contributing/testing.md b/docs/contributing/testing.md
deleted file mode 100644
index 38149535306ae90071238d61bdb67ed1e21e3718..0000000000000000000000000000000000000000
--- a/docs/contributing/testing.md
+++ /dev/null
@@ -1,115 +0,0 @@
-# Testing Requirements
-
-This document outlines testing requirements and guidelines for The DETERMINATOR.
-
-## Test Structure
-
-- Unit tests in `tests/unit/` (mocked, fast)
-- Integration tests in `tests/integration/` (real APIs, marked `@pytest.mark.integration`)
-- Use markers: `unit`, `integration`, `slow`, `openai`, `huggingface`, `embedding_provider`, `local_embeddings`
-
-## Test Markers
-
-The project uses pytest markers to categorize tests. These markers are defined in `pyproject.toml`:
-
-- `@pytest.mark.unit`: Unit tests (mocked, fast) - Run with `-m "unit"`
-- `@pytest.mark.integration`: Integration tests (real APIs) - Run with `-m "integration"`
-- `@pytest.mark.slow`: Slow tests - Run with `-m "slow"`
-- `@pytest.mark.openai`: Tests requiring OpenAI API key - Run with `-m "openai"` or exclude with `-m "not openai"`
-- `@pytest.mark.huggingface`: Tests requiring HuggingFace API key or using HuggingFace models - Run with `-m "huggingface"`
-- `@pytest.mark.embedding_provider`: Tests requiring API-based embedding providers (OpenAI, etc.) - Run with `-m "embedding_provider"`
-- `@pytest.mark.local_embeddings`: Tests using local embeddings (sentence-transformers, ChromaDB) - Run with `-m "local_embeddings"`
-
-### Running Tests by Marker
-
-```bash
-# Run only unit tests (excludes OpenAI tests by default)
-uv run pytest tests/unit/ -v -m "not openai" -p no:logfire
-
-# Run HuggingFace tests
-uv run pytest tests/ -v -m "huggingface" -p no:logfire
-
-# Run all tests
-uv run pytest tests/ -v -p no:logfire
-
-# Run only local embedding tests
-uv run pytest tests/ -v -m "local_embeddings" -p no:logfire
-
-# Exclude slow tests
-uv run pytest tests/ -v -m "not slow" -p no:logfire
-```
-
-**Note**: The `-p no:logfire` flag disables the logfire plugin to avoid conflicts during testing.
-
-## Mocking
-
-- Use `respx` for httpx mocking
-- Use `pytest-mock` for general mocking
-- Mock LLM calls in unit tests (use `MockJudgeHandler`)
-- Fixtures in `tests/conftest.py`: `mock_httpx_client`, `mock_llm_response`
-
-## TDD Workflow
-
-1. Write failing test in `tests/unit/`
-2. Implement in `src/`
-3. Ensure test passes
-4. Run checks: `uv run ruff check src tests && uv run mypy src && uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire`
-
-### Test Command Examples
-
-```bash
-# Run unit tests (default, excludes OpenAI tests)
-uv run pytest tests/unit/ -v -m "not openai" -p no:logfire
-
-# Run HuggingFace tests
-uv run pytest tests/ -v -m "huggingface" -p no:logfire
-
-# Run all tests
-uv run pytest tests/ -v -p no:logfire
-```
-
-## Test Examples
-
-```python
-@pytest.mark.unit
-async def test_pubmed_search(mock_httpx_client):
-    tool = PubMedTool()
-    results = await tool.search("metformin", max_results=5)
-    assert len(results) > 0
-    assert all(isinstance(r, Evidence) for r in results)
-
-@pytest.mark.integration
-async def test_real_pubmed_search():
-    tool = PubMedTool()
-    results = await tool.search("metformin", max_results=3)
-    assert len(results) <= 3
-```
-
-## Test Coverage
-
-### Terminal Coverage Report
-
-```bash
-uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire
-```
-
-This shows coverage with missing lines highlighted in the terminal output.
-
-### HTML Coverage Report
-
-```bash
-uv run pytest --cov=src --cov-report=html -p no:logfire
-```
-
-This generates an HTML coverage report in `htmlcov/index.html`. Open this file in your browser to see detailed coverage information.
-
-### Coverage Goals
-
-- Aim for >80% coverage on critical paths
-- Exclude: `__init__.py`, `TYPE_CHECKING` blocks
-- Coverage configuration is in `pyproject.toml` under `[tool.coverage.*]`
-
-## See Also
-
-- [Code Style](code-style.md) - Code style guidelines
-- [Implementation Patterns](implementation-patterns.md) - Common patterns
diff --git a/docs/getting-started/examples.md b/docs/getting-started/examples.md
deleted file mode 100644
index c5b7f4150787a8e66f8eafec399fe89c11b449e8..0000000000000000000000000000000000000000
--- a/docs/getting-started/examples.md
+++ /dev/null
@@ -1,198 +0,0 @@
-# Examples
-
-This page provides examples of using The DETERMINATOR for various research tasks.
-
-## Basic Research Query
-
-### Example 1: Drug Information
-
-**Query**:
-```
-What are the latest treatments for Alzheimer's disease?
-```
-
-**What The DETERMINATOR Does**:
-1. Searches PubMed for recent papers
-2. Searches ClinicalTrials.gov for active trials
-3. Evaluates evidence quality
-4. Synthesizes findings into a comprehensive report
-
-### Example 2: Clinical Trial Search
-
-**Query**:
-```
-What clinical trials are investigating metformin for cancer prevention?
-```
-
-**What The DETERMINATOR Does**:
-
-1. Searches ClinicalTrials.gov for relevant trials
-2. Searches PubMed for supporting literature
-3. Provides trial details and status
-4. Summarizes findings
-
-## Advanced Research Queries
-
-### Example 3: Comprehensive Review
-
-**Query**:
-
-```
-Review the evidence for using metformin as an anti-aging intervention, 
-including clinical trials, mechanisms of action, and safety profile.
-```
-
-**What The DETERMINATOR Does**:
-1. Uses deep research mode (multi-section)
-2. Searches multiple sources in parallel
-3. Generates sections on:
-   - Clinical trials
-   - Mechanisms of action
-   - Safety profile
-4. Synthesizes comprehensive report
-
-### Example 4: Hypothesis Testing
-
-**Query**:
-```
-Test the hypothesis that regular exercise reduces Alzheimer's disease risk.
-```
-
-**What The DETERMINATOR Does**:
-1. Generates testable hypotheses
-2. Searches for supporting/contradicting evidence
-3. Performs statistical analysis (if Modal configured)
-4. Provides verdict: SUPPORTED, REFUTED, or INCONCLUSIVE
-
-## MCP Tool Examples
-
-### Using search_pubmed
-
-```
-Search PubMed for "CRISPR gene editing cancer therapy"
-```
-
-### Using search_clinical_trials
-
-```
-Find active clinical trials for "diabetes type 2 treatment"
-```
-
-### Using search_all
-
-```
-Search all sources for "COVID-19 vaccine side effects"
-```
-
-### Using analyze_hypothesis
-
-```
-Analyze whether vitamin D supplementation reduces COVID-19 severity
-```
-
-## Code Examples
-
-### Python API Usage
-
-```python
-from src.orchestrator_factory import create_orchestrator
-from src.tools.search_handler import SearchHandler
-from src.agent_factory.judges import create_judge_handler
-
-# Create orchestrator
-search_handler = SearchHandler()
-judge_handler = create_judge_handler()
-```
-
-<!--codeinclude-->
-[Create Orchestrator](../src/orchestrator_factory.py) start_line:44 end_line:66
-<!--/codeinclude-->
-
-```python
-# Run research query
-query = "What are the latest treatments for Alzheimer's disease?"
-async for event in orchestrator.run(query):
-    print(f"Event: {event.type} - {event.data}")
-```
-
-### Gradio UI Integration
-
-```python
-import gradio as gr
-from src.app import create_research_interface
-
-# Create interface
-interface = create_research_interface()
-
-# Launch
-interface.launch(server_name="0.0.0.0", server_port=7860)
-```
-
-## Research Patterns
-
-### Iterative Research
-
-Single-loop research with search-judge-synthesize cycles:
-
-```python
-from src.orchestrator.research_flow import IterativeResearchFlow
-```
-
-<!--codeinclude-->
-[IterativeResearchFlow Initialization](../src/orchestrator/research_flow.py) start_line:56 end_line:77
-<!--/codeinclude-->
-
-```python
-async for event in flow.run(query):
-    # Handle events
-    pass
-```
-
-### Deep Research
-
-Multi-section parallel research:
-
-```python
-from src.orchestrator.research_flow import DeepResearchFlow
-```
-
-<!--codeinclude-->
-[DeepResearchFlow Initialization](../src/orchestrator/research_flow.py) start_line:674 end_line:697
-<!--/codeinclude-->
-
-```python
-async for event in flow.run(query):
-    # Handle events
-    pass
-```
-
-## Configuration Examples
-
-### Basic Configuration
-
-```bash
-# .env file
-LLM_PROVIDER=openai
-OPENAI_API_KEY=your_key_here
-MAX_ITERATIONS=10
-```
-
-### Advanced Configuration
-
-```bash
-# .env file
-LLM_PROVIDER=anthropic
-ANTHROPIC_API_KEY=your_key_here
-EMBEDDING_PROVIDER=local
-WEB_SEARCH_PROVIDER=duckduckgo
-MAX_ITERATIONS=20
-DEFAULT_TOKEN_LIMIT=200000
-USE_GRAPH_EXECUTION=true
-```
-
-## Next Steps
-
-- Read the [Configuration Guide](../configuration/index.md) for all options
-- Explore the [Architecture Documentation](../architecture/graph_orchestration.md)
-- Check out the [API Reference](../api/agents.md) for programmatic usage
-
diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
deleted file mode 100644
index 34c0b2848a1c86097f9a73e90df7ed18219658fc..0000000000000000000000000000000000000000
--- a/docs/getting-started/installation.md
+++ /dev/null
@@ -1,152 +0,0 @@
-# Installation
-
-This guide will help you install and set up DeepCritical on your system.
-
-## Prerequisites
-
-- Python 3.11 or higher
-- `uv` package manager (recommended) or `pip`
-- At least one LLM API key (OpenAI, Anthropic, or HuggingFace)
-
-## Installation Steps
-
-### 1. Install uv (Recommended)
-
-`uv` is a fast Python package installer and resolver. Install it using the standalone installer (recommended):
-
-**Unix/macOS/Linux:**
-```bash
-curl -LsSf https://astral.sh/uv/install.sh | sh
-```
-
-**Windows (PowerShell):**
-```powershell
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-```
-
-**Alternative methods:**
-```bash
-# Using pipx (recommended if you have pipx installed)
-pipx install uv
-
-# Or using pip
-pip install uv
-```
-
-After installation, restart your terminal or add `~/.cargo/bin` to your PATH.
-
-### 2. Clone the Repository
-
-```bash
-git clone https://github.com/DeepCritical/GradioDemo.git
-cd GradioDemo
-```
-
-### 3. Install Dependencies
-
-Using `uv` (recommended):
-
-```bash
-uv sync
-```
-
-Using `pip`:
-
-```bash
-pip install -e .
-```
-
-### 4. Install Optional Dependencies
-
-For embeddings support (local sentence-transformers):
-
-```bash
-uv sync --extra embeddings
-```
-
-For Modal sandbox execution:
-
-```bash
-uv sync --extra modal
-```
-
-For Magentic orchestration:
-
-```bash
-uv sync --extra magentic
-```
-
-Install all extras:
-
-```bash
-uv sync --all-extras
-```
-
-### 5. Configure Environment Variables
-
-Create a `.env` file in the project root:
-
-```bash
-# Required: At least one LLM provider
-LLM_PROVIDER=openai  # or "anthropic" or "huggingface"
-OPENAI_API_KEY=your_openai_api_key_here
-
-# Optional: Other services
-NCBI_API_KEY=your_ncbi_api_key_here  # For higher PubMed rate limits
-MODAL_TOKEN_ID=your_modal_token_id
-MODAL_TOKEN_SECRET=your_modal_token_secret
-```
-
-See the [Configuration Guide](../configuration/index.md) for all available options.
-
-### 6. Verify Installation
-
-Run the application:
-
-```bash
-uv run gradio run src/app.py
-```
-
-Open your browser to `http://localhost:7860` to verify the installation.
-
-## Development Setup
-
-For development, install dev dependencies:
-
-```bash
-uv sync --all-extras --dev
-```
-
-Install pre-commit hooks:
-
-```bash
-uv run pre-commit install
-```
-
-## Troubleshooting
-
-### Common Issues
-
-**Import Errors**:
-- Ensure you've installed all required dependencies
-- Check that Python 3.11+ is being used
-
-**API Key Errors**:
-- Verify your `.env` file is in the project root
-- Check that API keys are correctly formatted
-- Ensure at least one LLM provider is configured
-
-**Module Not Found**:
-- Run `uv sync` or `pip install -e .` again
-- Check that you're in the correct virtual environment
-
-**Port Already in Use**:
-- Change the port in `src/app.py` or use environment variable
-- Kill the process using port 7860
-
-## Next Steps
-
-- Read the [Quick Start Guide](quick-start.md)
-- Learn about [MCP Integration](mcp-integration.md)
-- Explore [Examples](examples.md)
-
diff --git a/docs/getting-started/mcp-integration.md b/docs/getting-started/mcp-integration.md
deleted file mode 100644
index a06201f3603d6ded79a4c1bf5cb1a91515de0e5e..0000000000000000000000000000000000000000
--- a/docs/getting-started/mcp-integration.md
+++ /dev/null
@@ -1,203 +0,0 @@
-# MCP Integration
-
-The DETERMINATOR exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.
-
-## What is MCP?
-
-The Model Context Protocol (MCP) is a standard for connecting AI assistants to external tools and data sources. The DETERMINATOR implements an MCP server that exposes its search capabilities as MCP tools.
-
-## MCP Server URL
-
-When running locally:
-
-```
-http://localhost:7860/gradio_api/mcp/
-```
-
-## Claude Desktop Configuration
-
-### 1. Locate Configuration File
-
-**macOS**:
-```
-~/Library/Application Support/Claude/claude_desktop_config.json
-```
-
-**Windows**:
-```
-%APPDATA%\Claude\claude_desktop_config.json
-```
-
-**Linux**:
-```
-~/.config/Claude/claude_desktop_config.json
-```
-
-### 2. Add The DETERMINATOR Server
-
-Edit `claude_desktop_config.json` and add:
-
-```json
-{
-  "mcpServers": {
-    "determinator": {
-      "url": "http://localhost:7860/gradio_api/mcp/"
-    }
-  }
-}
-```
-
-### 3. Restart Claude Desktop
-
-Close and restart Claude Desktop for changes to take effect.
-
-### 4. Verify Connection
-
-In Claude Desktop, you should see The DETERMINATOR tools available:
-- `search_pubmed`
-- `search_clinical_trials`
-- `search_biorxiv`
-- `search_all`
-- `analyze_hypothesis`
-
-## Available Tools
-
-### search_pubmed
-
-Search peer-reviewed biomedical literature from PubMed.
-
-**Parameters**:
-- `query` (string): Search query
-- `max_results` (integer, optional): Maximum number of results (default: 10)
-
-**Example**:
-```
-Search PubMed for "metformin diabetes"
-```
-
-### search_clinical_trials
-
-Search ClinicalTrials.gov for interventional studies.
-
-**Parameters**:
-- `query` (string): Search query
-- `max_results` (integer, optional): Maximum number of results (default: 10)
-
-**Example**:
-```
-Search clinical trials for "Alzheimer's disease treatment"
-```
-
-### search_biorxiv
-
-Search bioRxiv/medRxiv preprints via Europe PMC.
-
-**Parameters**:
-- `query` (string): Search query
-- `max_results` (integer, optional): Maximum number of results (default: 10)
-
-**Example**:
-```
-Search bioRxiv for "CRISPR gene editing"
-```
-
-### search_all
-
-Search all sources simultaneously (PubMed, ClinicalTrials.gov, Europe PMC).
-
-**Parameters**:
-- `query` (string): Search query
-- `max_results` (integer, optional): Maximum number of results per source (default: 10)
-
-**Example**:
-```
-Search all sources for "COVID-19 vaccine efficacy"
-```
-
-### analyze_hypothesis
-
-Perform secure statistical analysis using Modal sandboxes.
-
-**Parameters**:
-- `hypothesis` (string): Hypothesis to analyze
-- `data` (string, optional): Data description or code
-
-**Example**:
-```
-Analyze the hypothesis that metformin reduces cancer risk
-```
-
-## Using Tools in Claude Desktop
-
-Once configured, you can ask Claude to use DeepCritical tools:
-
-```
-Use DeepCritical to search PubMed for recent papers on Alzheimer's disease treatments.
-```
-
-Claude will automatically:
-1. Call the appropriate DeepCritical tool
-2. Retrieve results
-3. Use the results in its response
-
-## Troubleshooting
-
-### Connection Issues
-
-**Server Not Found**:
-- Ensure DeepCritical is running (`uv run gradio run src/app.py`)
-- Verify the URL in `claude_desktop_config.json` is correct
-- Check that port 7860 is not blocked by firewall
-
-**Tools Not Appearing**:
-- Restart Claude Desktop after configuration changes
-- Check Claude Desktop logs for errors
-- Verify MCP server is accessible at the configured URL
-
-### Authentication
-
-If DeepCritical requires authentication:
-- Configure API keys in DeepCritical settings
-- Use HuggingFace OAuth login
-- Ensure API keys are valid
-
-## Advanced Configuration
-
-### Custom Port
-
-If running on a different port, update the URL:
-
-```json
-{
-  "mcpServers": {
-    "deepcritical": {
-      "url": "http://localhost:8080/gradio_api/mcp/"
-    }
-  }
-}
-```
-
-### Multiple Instances
-
-You can configure multiple DeepCritical instances:
-
-```json
-{
-  "mcpServers": {
-    "deepcritical-local": {
-      "url": "http://localhost:7860/gradio_api/mcp/"
-    },
-    "deepcritical-remote": {
-      "url": "https://your-server.com/gradio_api/mcp/"
-    }
-  }
-}
-```
-
-## Next Steps
-
-- Learn about [Configuration](../configuration/index.md) for advanced settings
-- Explore [Examples](examples.md) for use cases
-- Read the [Architecture Documentation](../architecture/graph_orchestration.md)
-
-
diff --git a/docs/getting-started/quick-start.md b/docs/getting-started/quick-start.md
deleted file mode 100644
index 45dfe1cb18c5cf4d1d20b0b62b0f227661ac50b5..0000000000000000000000000000000000000000
--- a/docs/getting-started/quick-start.md
+++ /dev/null
@@ -1,142 +0,0 @@
-# Single Command Deploy
-
-Deploy with docker instandly with a single command :
-
-```bash
-docker run -it -p 7860:7860 --platform=linux/amd64 \
-    -e DB_KEY="YOUR_VALUE_HERE" \
-    -e SERP_API="YOUR_VALUE_HERE" \
-    -e INFERENCE_API="YOUR_VALUE_HERE" \
-    -e MODAL_TOKEN_ID="YOUR_VALUE_HERE" \
-    -e MODAL_TOKEN_SECRET="YOUR_VALUE_HERE" \
-    -e NCBI_API_KEY="YOUR_VALUE_HERE" \
-    -e SERPER_API_KEY="YOUR_VALUE_HERE" \
-    -e CHROMA_DB_PATH="./chroma_db" \
-    -e CHROMA_DB_HOST="localhost" \
-    -e CHROMA_DB_PORT="8000" \
-    -e RAG_COLLECTION_NAME="deepcritical_evidence" \
-    -e RAG_SIMILARITY_TOP_K="5" \
-    -e RAG_AUTO_INGEST="true" \
-    -e USE_GRAPH_EXECUTION="false" \
-    -e DEFAULT_TOKEN_LIMIT="100000" \
-    -e DEFAULT_TIME_LIMIT_MINUTES="10" \
-    -e DEFAULT_ITERATIONS_LIMIT="10" \
-    -e WEB_SEARCH_PROVIDER="duckduckgo" \
-    -e MAX_ITERATIONS="10" \
-    -e SEARCH_TIMEOUT="30" \
-    -e LOG_LEVEL="DEBUG" \
-    -e EMBEDDING_PROVIDER="local" \
-    -e OPENAI_EMBEDDING_MODEL="text-embedding-3-small" \
-    -e LOCAL_EMBEDDING_MODEL="BAAI/bge-small-en-v1.5" \
-    -e HUGGINGFACE_EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2" \
-    -e HF_FALLBACK_MODELS="Qwen/Qwen3-Next-80B-A3B-Thinking,Qwen/Qwen3-Next-80B-A3B-Instruct,meta-llama/Llama-3.3-70B-Instruct,meta-llama/Llama-3.1-8B-Instruct,HuggingFaceH4/zephyr-7b-beta,Qwen/Qwen2-7B-Instruct" \
-    -e HUGGINGFACE_MODEL="Qwen/Qwen3-Next-80B-A3B-Thinking" \
-    registry.hf.space/dataquests-deepcritical:latest python src/app.py
-   ```
-
-## Quick start guide
-
-Get up and running with The DETERMINATOR in minutes.
-
-## Start the Application
-
-```bash
-gradio src/app.py
-```
-
-Open your browser to `http://localhost:7860`.
-
-## First Research Query
-
-1. **Enter a Research Question**
-
-   Type your research question in the chat interface, for example:
-   - "What are the latest treatments for Alzheimer's disease?"
-   - "Review the evidence for metformin in cancer prevention"
-   - "What clinical trials are investigating COVID-19 vaccines?"
-
-2. **Submit the Query**
-
-   Click "Submit" or press Enter. The system will:
-   - Generate observations about your query
-   - Identify knowledge gaps
-   - Search multiple sources (PubMed, ClinicalTrials.gov, Europe PMC)
-   - Evaluate evidence quality
-   - Synthesize findings into a report
-
-3. **Review Results**
-
-   Watch the real-time progress in the chat interface:
-   - Search operations and results
-   - Evidence evaluation
-   - Report generation
-   - Final research report with citations
-
-## Authentication
-
-### HuggingFace OAuth (Recommended)
-
-1. Click "Sign in with HuggingFace" at the top of the app
-2. Authorize the application
-3. Your HuggingFace API token will be automatically used
-4. No need to manually enter API keys
-
-### Manual API Key
-
-1. Open the Settings accordion
-2. Enter your API key:
-   - OpenAI API key
-   - Anthropic API key
-   - HuggingFace API key
-3. Click "Save Settings"
-4. Manual keys take priority over OAuth tokens
-
-## Understanding the Interface
-
-### Chat Interface
-
-- **Input**: Enter your research questions here
-- **Messages**: View conversation history and research progress
-- **Streaming**: Real-time updates as research progresses
-
-### Status Indicators
-
-- **Searching**: Active search operations
-- **Evaluating**: Evidence quality assessment
-- **Synthesizing**: Report generation
-- **Complete**: Research finished
-
-### Settings
-
-- **API Keys**: Configure LLM providers
-- **Research Mode**: Choose iterative or deep research
-- **Budget Limits**: Set token, time, and iteration limits
-
-## Example Queries
-
-### Simple Query
-
-```
-What are the side effects of metformin?
-```
-
-### Complex Query
-
-```
-Review the evidence for using metformin as an anti-aging intervention, 
-including clinical trials, mechanisms of action, and safety profile.
-```
-
-### Clinical Trial Query
-
-```
-What are the active clinical trials investigating Alzheimer's disease treatments?
-```
-
-## Next Steps
-
-- Learn about [MCP Integration](mcp-integration.md) to use The DETERMINATOR from Claude Desktop
-- Explore [Examples](examples.md) for more use cases
-- Read the [Configuration Guide](../configuration/index.md) for advanced settings
-- Check out the [Architecture Documentation](../architecture/graph_orchestration.md) to understand how it works
-
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 3ad907ad29c4ba891f32cc28d8ac471724a8469a..0000000000000000000000000000000000000000
--- a/docs/index.md
+++ /dev/null
@@ -1,82 +0,0 @@
-# The DETERMINATOR
-
-**Generalist Deep Research Agent - Stops at Nothing Until Finding Precise Answers**
-
-The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations).
-
-**Key Features**:
-- **Generalist**: Handles queries from any domain (medical, technical, business, scientific, etc.)
-- **Automatic Source Selection**: Automatically determines if medical knowledge sources (PubMed, ClinicalTrials.gov) are needed
-- **Multi-Source Search**: Web search, PubMed, ClinicalTrials.gov, Europe PMC, RAG
-- **Iterative Refinement**: Continues searching and refining until precise answers are found
-- **Evidence Synthesis**: Comprehensive reports with proper citations
-
-**Important**: The DETERMINATOR is a research tool that synthesizes evidence. It cannot provide medical advice or answer medical questions directly.
-
-## Features
-
-- **Generalist Research**: Handles any research question from any domain
-- **Automatic Medical Detection**: Automatically determines if medical knowledge sources are needed
-- **Multi-Source Search**: Web search, PubMed, ClinicalTrials.gov, Europe PMC (includes bioRxiv/medRxiv), RAG
-- **Iterative Until Precise**: Stops at nothing until finding precise answers (only stops at configured limits)
-- **MCP Integration**: Use our tools from Claude Desktop or any MCP client
-- **HuggingFace OAuth**: Sign in with your HuggingFace account to automatically use your API token
-- **Modal Sandbox**: Secure execution of AI-generated statistical code
-- **LlamaIndex RAG**: Semantic search and evidence synthesis
-- **HuggingFace Inference**: Free tier support with automatic fallback
-- **Strongly Typed Composable Graphs**: Graph-based orchestration with Pydantic AI
-- **Specialized Research Teams of Agents**: Multi-agent coordination for complex research tasks
-
-## Quick Start
-
-```bash
-# Install uv if you haven't already (recommended: standalone installer)
-# Unix/macOS/Linux:
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
-# Windows (PowerShell):
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-
-# Alternative: pipx install uv
-# Or: pip install uv
-
-# Sync dependencies
-uv sync
-
-# Start the Gradio app
-uv run gradio run src/app.py
-```
-
-Open your browser to `http://localhost:7860`.
-
-For detailed installation and setup instructions, see the [Getting Started Guide](getting-started/installation.md).
-
-## Architecture
-
-The DETERMINATOR uses a Vertical Slice Architecture:
-
-1. **Search Slice**: Retrieving evidence from multiple sources (web, PubMed, ClinicalTrials.gov, Europe PMC, RAG) based on query analysis
-2. **Judge Slice**: Evaluating evidence quality using LLMs
-3. **Orchestrator Slice**: Managing the research loop and UI
-
-The system supports three main research patterns:
-
-- **Iterative Research**: Single research loop with search-judge-synthesize cycles
-- **Deep Research**: Multi-section parallel research with planning and synthesis
-- **Research Team**: Multi-agent coordination using Magentic framework
-
-Learn more about the [Architecture](overview/architecture.md).
-
-## Documentation
-
-- [Overview](overview/architecture.md) - System architecture and design
-- [Getting Started](getting-started/installation.md) - Installation and setup
-- [Configuration](configuration/index.md) - Configuration guide
-- [API Reference](api/agents.md) - API documentation
-- [Contributing](contributing/index.md) - Development guidelines
-
-## Links
-
-- [GitHub Repository](https://github.com/DeepCritical/GradioDemo)
-- [HuggingFace Space](https://huggingface.co/spaces/DataQuests/DeepCritical)
-
diff --git a/docs/overview/architecture.md b/docs/overview/architecture.md
deleted file mode 100644
index 3f9c071dda107f9722b24610aae83617ad130693..0000000000000000000000000000000000000000
--- a/docs/overview/architecture.md
+++ /dev/null
@@ -1,194 +0,0 @@
-# Architecture Overview
-
-The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations). The system automatically determines if medical knowledge sources are needed and adapts its search strategy accordingly. It supports multiple orchestration patterns, graph-based execution, parallel research workflows, and long-running task management with real-time streaming.
-
-## Core Architecture
-
-### Orchestration Patterns
-
-1. **Graph Orchestrator** (`src/orchestrator/graph_orchestrator.py`):
-   - Graph-based execution using Pydantic AI agents as nodes
-   - Supports both iterative and deep research patterns
-   - Node types: Agent, State, Decision, Parallel
-   - Edge types: Sequential, Conditional, Parallel
-   - Conditional routing based on knowledge gaps, budget, and iterations
-   - Parallel execution for concurrent research loops
-   - Event streaming via `AsyncGenerator[AgentEvent]` for real-time UI updates
-   - Fallback to agent chains when graph execution is disabled
-
-2. **Deep Research Flow** (`src/orchestrator/research_flow.py`):
-   - **Pattern**: Planner → Parallel Iterative Loops (one per section) → Synthesis
-   - Uses `PlannerAgent` to break query into report sections
-   - Runs `IterativeResearchFlow` instances in parallel per section via `WorkflowManager`
-   - Synthesizes results using `LongWriterAgent` or `ProofreaderAgent`
-   - Supports both graph execution (`use_graph=True`) and agent chains (`use_graph=False`)
-   - Budget tracking per section and globally
-   - State synchronization across parallel loops
-
-3. **Iterative Research Flow** (`src/orchestrator/research_flow.py`):
-   - **Pattern**: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete
-   - Uses `KnowledgeGapAgent`, `ToolSelectorAgent`, `ThinkingAgent`, `WriterAgent`
-   - `JudgeHandler` assesses evidence sufficiency
-   - Iterates until research complete or constraints met (iterations, time, tokens)
-   - Supports graph execution and agent chains
-
-4. **Magentic Orchestrator** (`src/orchestrator_magentic.py`):
-   - Multi-agent coordination using `agent-framework-core`
-   - ChatAgent pattern with internal LLMs per agent
-   - Uses `MagenticBuilder` with participants: searcher, hypothesizer, judge, reporter
-   - Manager orchestrates agents via `OpenAIChatClient`
-   - Requires OpenAI API key (function calling support)
-   - Event-driven: converts Magentic events to `AgentEvent` for UI streaming
-   - Supports long-running workflows with max rounds and stall/reset handling
-
-5. **Hierarchical Orchestrator** (`src/orchestrator_hierarchical.py`):
-   - Uses `SubIterationMiddleware` with `ResearchTeam` and `LLMSubIterationJudge`
-   - Adapts Magentic ChatAgent to `SubIterationTeam` protocol
-   - Event-driven via `asyncio.Queue` for coordination
-   - Supports sub-iteration patterns for complex research tasks
-
-6. **Legacy Simple Mode** (`src/legacy_orchestrator.py`):
-   - Linear search-judge-synthesize loop
-   - Uses `SearchHandlerProtocol` and `JudgeHandlerProtocol`
-   - Generator-based design yielding `AgentEvent` objects
-   - Backward compatibility for simple use cases
-
-## Long-Running Task Support
-
-The system is designed for long-running research tasks with comprehensive state management and streaming:
-
-1. **Event Streaming**:
-   - All orchestrators yield `AgentEvent` objects via `AsyncGenerator`
-   - Real-time UI updates through Gradio chat interface
-   - Event types: `started`, `searching`, `search_complete`, `judging`, `judge_complete`, `looping`, `synthesizing`, `hypothesizing`, `complete`, `error`
-   - Metadata includes iteration numbers, tool names, result counts, durations
-
-2. **Budget Tracking** (`src/middleware/budget_tracker.py`):
-   - Per-loop and global budget management
-   - Tracks: tokens, time (seconds), iterations
-   - Budget enforcement at decision nodes
-   - Token estimation (~4 chars per token)
-   - Early termination when budgets exceeded
-   - Budget summaries for monitoring
-
-3. **Workflow Manager** (`src/middleware/workflow_manager.py`):
-   - Coordinates parallel research loops
-   - Tracks loop status: `pending`, `running`, `completed`, `failed`, `cancelled`
-   - Synchronizes evidence between loops and global state
-   - Handles errors per loop (doesn't fail all if one fails)
-   - Supports loop cancellation and timeout handling
-   - Evidence deduplication across parallel loops
-
-4. **State Management** (`src/middleware/state_machine.py`):
-   - Thread-safe isolation using `ContextVar` for concurrent requests
-   - `WorkflowState` tracks: evidence, conversation history, embedding service
-   - Evidence deduplication by URL
-   - Semantic search via embedding service
-   - State persistence across long-running workflows
-   - Supports both iterative and deep research patterns
-
-5. **Gradio UI** (`src/app.py`):
-   - Real-time streaming of research progress
-   - Accordion-based UI for pending/done operations
-   - OAuth integration (HuggingFace)
-   - Multiple backend support (API keys, free tier)
-   - Handles long-running tasks with progress indicators
-   - Event accumulation for pending operations
-
-## Graph Architecture
-
-The graph orchestrator (`src/orchestrator/graph_orchestrator.py`) implements a flexible graph-based execution model:
-
-**Node Types**:
-
-- **Agent Nodes**: Execute Pydantic AI agents (e.g., `KnowledgeGapAgent`, `ToolSelectorAgent`)
-- **State Nodes**: Update or read workflow state (evidence, conversation)
-- **Decision Nodes**: Make routing decisions (research complete?, budget exceeded?)
-- **Parallel Nodes**: Execute multiple nodes concurrently (parallel research loops)
-
-**Edge Types**:
-
-- **Sequential Edges**: Always traversed (no condition)
-- **Conditional Edges**: Traversed based on condition (e.g., if research complete → writer, else → tool selector)
-- **Parallel Edges**: Used for parallel execution branches
-
-**Graph Patterns**:
-
-- **Iterative Graph**: `[Input] → [Thinking] → [Knowledge Gap] → [Decision: Complete?] → [Tool Selector] or [Writer]`
-- **Deep Research Graph**: `[Input] → [Planner] → [Parallel Iterative Loops] → [Synthesizer]`
-
-**Execution Flow**:
-
-1. Graph construction from nodes and edges
-2. Graph validation (no cycles, all nodes reachable)
-3. Graph execution from entry node
-4. Node execution based on type
-5. Edge evaluation for next node(s)
-6. Parallel execution via `asyncio.gather()`
-7. State updates at state nodes
-8. Event streaming for UI
-
-## Key Components
-
-- **Orchestrators**: Multiple orchestration patterns (`src/orchestrator/`, `src/orchestrator_*.py`)
-- **Research Flows**: Iterative and deep research patterns (`src/orchestrator/research_flow.py`)
-- **Graph Builder**: Graph construction utilities (`src/agent_factory/graph_builder.py`)
-- **Agents**: Pydantic AI agents (`src/agents/`, `src/agent_factory/agents.py`)
-- **Search Tools**: Neo4j knowledge graph, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG (`src/tools/`)
-- **Judge Handler**: LLM-based evidence assessment (`src/agent_factory/judges.py`)
-- **Embeddings**: Semantic search & deduplication (`src/services/embeddings.py`)
-- **Statistical Analyzer**: Modal sandbox execution (`src/services/statistical_analyzer.py`)
-- **Multimodal Processing**: Image OCR and audio STT/TTS services (`src/services/multimodal_processing.py`, `src/services/audio_processing.py`)
-- **Middleware**: State management, budget tracking, workflow coordination (`src/middleware/`)
-- **MCP Tools**: Claude Desktop integration (`src/mcp_tools.py`)
-- **Gradio UI**: Web interface with MCP server and streaming (`src/app.py`)
-
-## Research Team & Parallel Execution
-
-The system supports complex research workflows through:
-
-1. **WorkflowManager**: Coordinates multiple parallel research loops
-   - Creates and tracks `ResearchLoop` instances
-   - Runs loops in parallel via `asyncio.gather()`
-   - Synchronizes evidence to global state
-   - Handles loop failures gracefully
-
-2. **Deep Research Pattern**: Breaks complex queries into sections
-   - Planner creates report outline with sections
-   - Each section runs as independent iterative research loop
-   - Loops execute in parallel
-   - Evidence shared across loops via global state
-   - Final synthesis combines all section results
-
-3. **State Synchronization**: Thread-safe evidence sharing
-   - Evidence deduplication by URL
-   - Global state accessible to all loops
-   - Semantic search across all collected evidence
-   - Conversation history tracking per iteration
-
-## Configuration & Modes
-
-- **Orchestrator Factory** (`src/orchestrator_factory.py`):
-  - Auto-detects mode: "advanced" if OpenAI key available, else "simple"
-  - Supports explicit mode selection: "simple", "magentic" (alias for "advanced"), "advanced", "iterative", "deep", "auto"
-  - Lazy imports for optional dependencies
-
-- **Orchestrator Modes** (selected in UI or via factory):
-  - `simple`: Legacy linear search-judge loop (Free Tier)
-  - `advanced` or `magentic`: Multi-agent coordination using Microsoft Agent Framework (requires OpenAI API key)
-  - `iterative`: Knowledge-gap-driven research with single loop (Free Tier)
-  - `deep`: Parallel section-based research with planning (Free Tier)
-  - `auto`: Intelligent mode detection based on query complexity (Free Tier)
-
-- **Graph Research Modes** (used within graph orchestrator, separate from orchestrator mode):
-  - `iterative`: Single research loop pattern
-  - `deep`: Multi-section parallel research pattern
-  - `auto`: Auto-detect pattern based on query complexity
-
-- **Execution Modes**:
-  - `use_graph=True`: Graph-based execution (parallel, conditional routing)
-  - `use_graph=False`: Agent chains (sequential, backward compatible)
-
-**Note**: The UI provides separate controls for orchestrator mode and graph research mode. When using graph-based orchestrators (iterative/deep/auto), the graph research mode determines the specific pattern used within the graph execution.
-
-
diff --git a/docs/overview/features.md b/docs/overview/features.md
deleted file mode 100644
index 0afb21e6317f24d447fd3c6cf1103d5a9684104b..0000000000000000000000000000000000000000
--- a/docs/overview/features.md
+++ /dev/null
@@ -1,169 +0,0 @@
-# Features
-
-The DETERMINATOR provides a comprehensive set of features for AI-assisted research:
-
-## Core Features
-
-### Multi-Source Search
-
-- **General Web Search**: Search general knowledge sources for any domain
-- **Neo4j Knowledge Graph**: Search structured knowledge graph for papers and disease relationships
-- **PubMed**: Search peer-reviewed biomedical literature via NCBI E-utilities (automatically used when medical knowledge needed)
-- **ClinicalTrials.gov**: Search interventional clinical trials (automatically used when medical knowledge needed)
-- **Europe PMC**: Search preprints and peer-reviewed articles (includes bioRxiv/medRxiv)
-- **RAG**: Semantic search within collected evidence using LlamaIndex
-- **Automatic Source Selection**: Automatically determines which sources are needed based on query analysis
-
-### MCP Integration
-
-- **Model Context Protocol**: Expose search tools via MCP server
-- **Claude Desktop**: Use The DETERMINATOR tools directly from Claude Desktop
-- **MCP Clients**: Compatible with any MCP-compatible client
-
-### Authentication
-
-- **REQUIRED**: Authentication is mandatory before using the application
-- **HuggingFace OAuth**: Sign in with HuggingFace account for automatic API token usage (recommended)
-- **Manual API Keys**: Support for HuggingFace API keys via environment variables (`HF_TOKEN` or `HUGGINGFACE_API_KEY`)
-- **Free Tier Support**: Automatic fallback to HuggingFace Inference API (public models) when no API key is available
-- **Authentication Check**: The application will display an error message if authentication is not provided
-
-### Secure Code Execution
-
-- **Modal Sandbox**: Secure execution of AI-generated statistical code
-- **Isolated Environment**: Network isolation and package version pinning
-- **Safe Execution**: Prevents malicious code execution
-
-### Semantic Search & RAG
-
-- **LlamaIndex Integration**: Advanced RAG capabilities
-- **Vector Storage**: ChromaDB for embedding storage
-- **Semantic Deduplication**: Automatic detection of similar evidence
-- **Embedding Service**: Local sentence-transformers (no API key required)
-
-### Orchestration Patterns
-
-- **Graph-Based Execution**: Flexible graph orchestration with conditional routing
-- **Parallel Research Loops**: Run multiple research tasks concurrently
-- **Iterative Research**: Single-loop research with search-judge-synthesize cycles that continues until precise answers are found
-- **Deep Research**: Multi-section parallel research with planning and synthesis
-- **Magentic Orchestration**: Multi-agent coordination using Microsoft Agent Framework (alias: "advanced" mode)
-- **Stops at Nothing**: Only stops at configured limits (budget, time, iterations), otherwise continues until finding precise answers
-
-**Orchestrator Modes**:
-- `simple`: Legacy linear search-judge loop
-- `advanced` (or `magentic`): Multi-agent coordination (requires OpenAI API key)
-- `iterative`: Knowledge-gap-driven research with single loop
-- `deep`: Parallel section-based research with planning
-- `auto`: Intelligent mode detection based on query complexity
-
-**Graph Research Modes** (used within graph orchestrator):
-- `iterative`: Single research loop pattern
-- `deep`: Multi-section parallel research pattern
-- `auto`: Auto-detect pattern based on query complexity
-
-**Execution Modes**:
-- `use_graph=True`: Graph-based execution with parallel and conditional routing
-- `use_graph=False`: Agent chains with sequential execution (backward compatible)
-
-### Real-Time Streaming
-
-- **Event Streaming**: Real-time updates via `AsyncGenerator[AgentEvent]`
-- **Progress Tracking**: Monitor research progress with detailed event metadata
-- **UI Integration**: Seamless integration with Gradio chat interface
-
-### Budget Management
-
-- **Token Budget**: Track and limit LLM token usage
-- **Time Budget**: Enforce time limits per research loop
-- **Iteration Budget**: Limit maximum iterations
-- **Per-Loop Budgets**: Independent budgets for parallel research loops
-
-### State Management
-
-- **Thread-Safe Isolation**: ContextVar-based state management
-- **Evidence Deduplication**: Automatic URL-based deduplication
-- **Conversation History**: Track iteration history and agent interactions
-- **State Synchronization**: Share evidence across parallel loops
-
-### Multimodal Input & Output
-
-- **Image Input (OCR)**: Upload images and extract text using optical character recognition
-- **Audio Input (STT)**: Record or upload audio files and transcribe to text using speech-to-text
-- **Audio Output (TTS)**: Generate audio responses with text-to-speech synthesis
-- **Configurable Settings**: Enable/disable multimodal features via sidebar settings
-- **Voice Selection**: Choose from multiple TTS voices (American English: af_*, am_*)
-- **Speech Speed Control**: Adjust TTS speech speed (0.5x to 2.0x)
-- **Multimodal Processing Service**: Integrated service for processing images and audio files
-
-## Advanced Features
-
-### Agent System
-
-- **Pydantic AI Agents**: Type-safe agent implementation
-- **Structured Output**: Pydantic models for agent responses
-- **Agent Factory**: Centralized agent creation with fallback support
-- **Specialized Agents**: Knowledge gap, tool selector, writer, proofreader, and more
-
-### Search Tools
-
-- **Rate Limiting**: Built-in rate limiting for external APIs
-- **Retry Logic**: Automatic retry with exponential backoff
-- **Query Preprocessing**: Automatic query enhancement and synonym expansion
-- **Evidence Conversion**: Automatic conversion to structured Evidence objects
-
-### Error Handling
-
-- **Custom Exceptions**: Hierarchical exception system
-- **Error Chaining**: Preserve exception context
-- **Structured Logging**: Comprehensive logging with structlog
-- **Graceful Degradation**: Fallback handlers for missing dependencies
-
-### Configuration
-
-- **Pydantic Settings**: Type-safe configuration management
-- **Environment Variables**: Support for `.env` files
-- **Validation**: Automatic configuration validation
-- **Flexible Providers**: Support for multiple LLM and embedding providers
-
-### Testing
-
-- **Unit Tests**: Comprehensive unit test coverage
-- **Integration Tests**: Real API integration tests
-- **Mock Support**: Extensive mocking utilities
-- **Coverage Reports**: Code coverage tracking
-
-## UI Features
-
-### Gradio Interface
-
-- **Real-Time Chat**: Interactive chat interface with multimodal support
-- **Streaming Updates**: Live progress updates
-- **Accordion UI**: Organized display of pending/done operations
-- **OAuth Integration**: Seamless HuggingFace authentication
-- **Multimodal Input**: Support for text, images, and audio input in the same interface
-- **Sidebar Settings**: Configuration accordions for research, multimodal, and audio settings
-
-### MCP Server
-
-- **RESTful API**: HTTP-based MCP server
-- **Tool Discovery**: Automatic tool registration
-- **Request Handling**: Async request processing
-- **Error Responses**: Structured error responses
-
-## Development Features
-
-### Code Quality
-
-- **Type Safety**: Full type hints with mypy strict mode
-- **Linting**: Ruff for code quality
-- **Formatting**: Automatic code formatting
-- **Pre-commit Hooks**: Automated quality checks
-
-### Documentation
-
-- **Comprehensive Docs**: Detailed documentation for all components
-- **Code Examples**: Extensive code examples
-- **Architecture Diagrams**: Visual architecture documentation
-- **API Reference**: Complete API documentation
-
diff --git a/docs/overview/quick-start.md b/docs/overview/quick-start.md
deleted file mode 100644
index 8b36d4864c1284f5ad97e330093d6ba9760313ad..0000000000000000000000000000000000000000
--- a/docs/overview/quick-start.md
+++ /dev/null
@@ -1,103 +0,0 @@
-# Quick Start
-
-Get started with DeepCritical in minutes.
-
-## Installation
-
-```bash
-# Install uv if you haven't already (recommended: standalone installer)
-# Unix/macOS/Linux:
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
-# Windows (PowerShell):
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-
-# Alternative: pipx install uv
-# Or: pip install uv
-
-# Sync dependencies
-uv sync
-```
-
-## Run the UI
-
-```bash
-# Start the Gradio app
-uv run gradio run src/app.py
-```
-
-Open your browser to `http://localhost:7860`.
-
-## Basic Usage
-
-### 1. Authentication (REQUIRED)
-
-**Authentication is mandatory** - you must authenticate before using the application. The app will display an error message if you try to use it without authentication.
-
-**HuggingFace OAuth Login** (Recommended):
-- Click the "Sign in with HuggingFace" button at the top of the app
-- Your HuggingFace API token will be automatically used for AI inference
-- No need to manually enter API keys when logged in
-
-**Manual API Key** (Alternative):
-- Set environment variable `HF_TOKEN` or `HUGGINGFACE_API_KEY` before starting the app
-- The app will automatically use these tokens if OAuth login is not available
-- Supports HuggingFace API keys only (OpenAI/Anthropic keys are not used in the current implementation)
-
-### 2. Start a Research Query
-
-1. Enter your research question in the chat interface
-   - **Text Input**: Type your question directly
-   - **Image Input**: Click the 📷 icon to upload images (OCR will extract text)
-   - **Audio Input**: Click the 🎤 icon to record or upload audio (STT will transcribe to text)
-2. Click "Submit" or press Enter
-3. Watch the real-time progress as the system:
-   - Generates observations
-   - Identifies knowledge gaps
-   - Searches multiple sources
-   - Evaluates evidence
-   - Synthesizes findings
-4. Review the final research report
-   - **Audio Output**: If enabled, the final response will include audio synthesis (TTS)
-
-**Multimodal Features**:
-- Configure image/audio input and output in the sidebar settings
-- Image OCR and audio STT/TTS can be enabled/disabled independently
-- TTS voice and speed can be customized in the Audio Output settings
-
-### 3. MCP Integration (Optional)
-
-Connect DeepCritical to Claude Desktop:
-
-1. Add to your `claude_desktop_config.json`:
-```json
-{
-  "mcpServers": {
-    "deepcritical": {
-      "url": "http://localhost:7860/gradio_api/mcp/"
-    }
-  }
-}
-```
-
-2. Restart Claude Desktop
-3. Use DeepCritical tools directly from Claude Desktop
-
-## Available Tools
-
-- `search_pubmed`: Search peer-reviewed biomedical literature
-- `search_clinical_trials`: Search ClinicalTrials.gov
-- `search_biorxiv`: Search bioRxiv/medRxiv preprints
-- `search_neo4j`: Search Neo4j knowledge graph for papers and disease relationships
-- `search_all`: Search all sources simultaneously
-- `analyze_hypothesis`: Secure statistical analysis using Modal sandboxes
-
-**Note**: The application automatically uses all available search tools (Neo4j, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG) based on query analysis. Neo4j knowledge graph search is included by default for biomedical queries.
-
-## Next Steps
-
-- Read the [Installation Guide](../getting-started/installation.md) for detailed setup
-- Learn about [Configuration](../configuration/index.md)
-- Explore the [Architecture](../architecture/graph_orchestration.md)
-- Check out [Examples](../getting-started/examples.md)
-
diff --git a/docs/team.md b/docs/team.md
deleted file mode 100644
index 6e9be5c763245d2caec553acc314c1532b335950..0000000000000000000000000000000000000000
--- a/docs/team.md
+++ /dev/null
@@ -1,44 +0,0 @@
-# Team
-
-DeepCritical is developed by a team of researchers and developers working on AI-assisted research.
-
-## Team Members
-
-### ZJ
-
-- 💼 [LinkedIn](https://www.linkedin.com/in//)
-
-### Mario Aderman
-
-- 🤗 [HuggingFace](https://huggingface.co/SeasonalFall84)
-- 💼 [LinkedIn](https://www.linkedin.com/in/mario-aderman/)
-- 𝕏 [X](https://x.com/marioaderman)
-
-### Joseph Pollack
-
-- 🤗 [HuggingFace](https://huggingface.co/Tonic)
-- 💼 [LinkedIn](https://www.linkedin.com/in/josephpollack/)
-- 𝕏 [X](https://x.com/josephpollack)
-
-### Virat Chauran
-
-- 𝕏 [X](https://x.com/viratzzs/)
-- 💼 [LinkedIn](https://www.linkedin.com/in/viratchauhan/)
-- 🤗 [HuggingFace](https://huggingface.co/ViratChauhan)
-
-### Anna Bossler
-
-- 💼 [LinkedIn](https://www.linkedin.com/in/ana-bossler-07304717)
-
-## About
-
-The DeepCritical team met online in the Alzheimer's Critical Literature Review Group in the Hugging Science initiative. We're building the agent framework we want to use for AI-assisted research to turn the vast amounts of clinical data into cures.
-
-## Contributing
-
-We welcome contributions! See the [Contributing Guide](contributing/index.md) for details.
-
-## Links
-
-- [GitHub Repository](https://github.com/DeepCritical/GradioDemo)
-- [HuggingFace Space](https://huggingface.co/spaces/DataQuests/DeepCritical)
diff --git a/mkdocs.yml b/mkdocs.yml
deleted file mode 100644
index cd3cee71d85f1dc3660ccd047e1feddbbcceb6ee..0000000000000000000000000000000000000000
--- a/mkdocs.yml
+++ /dev/null
@@ -1,166 +0,0 @@
-site_name: The DETERMINATOR
-site_description: Generalist Deep Research Agent that Stops at Nothing
-site_author: The DeepCritical Team
-site_url: https://deepcritical.github.io/GradioDemo/
-
-repo_name: DeepCritical/GradioDemo
-repo_url: https://github.com/DeepCritical/GradioDemo
-edit_uri: edit/dev/docs/
-
-# Ensure all files are included even if not in nav
-# strict: false
-
-theme:
-  name: material
-  palette:
-    # Light mode
-    - scheme: default
-      primary: orange
-      accent: red
-      toggle:
-        icon: material/brightness-7
-        name: Switch to dark mode
-    # Dark mode
-    - scheme: slate
-      primary: orange
-      accent: red
-      toggle:
-        icon: material/brightness-4
-        name: Switch to light mode
-  features:
-    # Navigation features
-    - navigation.tabs
-    - navigation.sections
-    - navigation.expand
-    - navigation.top
-    - navigation.indexes 
-    - navigation.instant 
-    - navigation.tracking 
-    - navigation.smooth  
-    # Search features
-    - search.suggest
-    - search.highlight
-    # Content features
-    - content.code.annotate
-    - content.code.copy
-    - content.tabs.link 
-    - content.tooltips 
-    - toc.integrate 
-  icon:
-    repo: fontawesome/brands/github
-  language: en
-
-plugins:
-  - search:
-      lang:
-        - en
-      separator: '[\s\-,:!=\[\]()"`/]+|\.(?!\d)|&[lg]t;|&amp;'
-  - mermaid2
-  - codeinclude
-  - git-revision-date-localized:
-      enable_creation_date: true
-      enable_git_follow: false  # Disable follow to avoid timestamp ordering issues
-      strict: false  # Bypass warnings about timestamp ordering issues
-      type: timeago  # Shows "2 days ago" format
-      fallback_to_build_date: true
-  - minify:
-      minify_html: true
-      minify_js: true
-      minify_css: true
-
-markdown_extensions:
-  - dev.docs_plugins:
-      base_path: "."
-  - pymdownx.highlight:
-      anchor_linenums: true
-      line_spans: __span  # Allow line spans for highlighting
-      pygments_lang_class: true  # Add language class to code blocks
-      use_pygments: true
-      noclasses: false  # Use CSS classes for better theming
-  - pymdownx.inlinehilite
-  - pymdownx.superfences:
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:pymdownx.superfences.fence_code_format
-      preserve_tabs: true
-  - pymdownx.tabbed:
-      alternate_style: true
-      combine_header_slug: true  # Better tab linking
-  - pymdownx.tasklist:
-      custom_checkbox: true
-  - pymdownx.emoji:
-      emoji_generator: !!python/name:pymdownx.emoji.to_svg
-      emoji_index: !!python/name:pymdownx.emoji.twemoji
-  - pymdownx.snippets
-  - admonition
-  - pymdownx.details
-  - attr_list
-  - md_in_html
-  - tables
-  - meta  # Frontmatter support for tags, categories, etc.
-  - toc:
-      permalink: true
-      permalink_title: "Anchor link to this section"
-      baselevel: 1
-      toc_depth: 3
-      slugify: !!python/object/apply:pymdownx.slugs.slugify
-        kwds:
-          case: lower
-
-nav:
-  - Home: index.md
-  - Overview:
-    - overview/architecture.md
-    - overview/features.md
-  - Getting Started:
-    - getting-started/installation.md
-    - getting-started/quick-start.md
-    - getting-started/mcp-integration.md
-    - getting-started/examples.md
-  - Configuration:
-    - configuration/index.md
-  - Architecture:
-    - "Graph Orchestration": architecture/graph_orchestration.md
-    - "Workflow Diagrams": architecture/workflow-diagrams.md
-    - "Agents": architecture/agents.md
-    - "Orchestrators": architecture/orchestrators.md
-    - "Tools": architecture/tools.md
-    - "Middleware": architecture/middleware.md
-    - "Services": architecture/services.md
-  - API Reference:
-    - api/agents.md
-    - api/tools.md
-    - api/orchestrators.md
-    - api/services.md
-    - api/models.md
-  - Contributing:
-    - contributing/index.md
-    - contributing/code-quality.md
-    - contributing/code-style.md
-    - contributing/error-handling.md
-    - contributing/implementation-patterns.md
-    - contributing/prompt-engineering.md
-    - contributing/testing.md
-  - License: LICENSE.md
-  - Team: team.md
-
-extra:
-  social:
-    - icon: fontawesome/brands/github
-      link: https://github.com/DeepCritical/GradioDemo
-      name: GitHub
-    - icon: fontawesome/brands/twitter
-      link: https://twitter.com/josephpollack
-      name: Twitter
-    - icon: material/web
-      link: https://huggingface.co/spaces/DataQuests/DeepCritical
-      name: Live Demo
-    - icon: fontawesome/brands/discord
-      link: https://discord.gg/n8ytYeh25n
-      name: Discord
-  generator:
-    enabled: false  # Hide generator meta tag
-
-copyright: Copyright &copy; 2024 DeepCritical Team
-
diff --git a/pyproject.toml b/pyproject.toml
deleted file mode 100644
index 6f59cac5edf5e957ee88a6fec36ad45db3040bd0..0000000000000000000000000000000000000000
--- a/pyproject.toml
+++ /dev/null
@@ -1,205 +0,0 @@
-[project]
-name = "determinator"
-version = "0.1.0"
-description = "The DETERMINATOR - the Deep Research Agent that Stops at Nothing"
-readme = "README.md"
-requires-python = ">=3.11"
-dependencies = [
-    "pydantic>=2.7",
-    "pydantic-settings>=2.2", # For BaseSettings (config)
-    "pydantic-ai>=0.0.16", # Agent framework
-    "openai>=1.0.0",
-    "anthropic>=0.18.0",
-    "httpx>=0.27", # Async HTTP client (PubMed)
-    "beautifulsoup4>=4.12", # HTML parsing
-    "xmltodict>=0.13", # PubMed XML -> dict
-    "huggingface-hub>=0.20.0", # Hugging Face Inference API
-    "gradio[mcp,oauth]>=6.0.0", # Chat interface with MCP server support (6.0 required for css in launch())
-    "python-dotenv>=1.0", # .env loading
-    "tenacity>=8.2", # Retry logic
-    "structlog>=24.1", # Structured logging
-    "requests>=2.32.5", # ClinicalTrials.gov (httpx blocked by WAF)
-    "pydantic-graph>=1.22.0",
-    "limits>=3.0", # Web search
-    "llama-index-llms-huggingface>=0.6.1",
-    "llama-index-llms-huggingface-api>=0.6.1",
-    "llama-index-vector-stores-chroma>=0.5.3",
-    "llama-index>=0.14.8",
-    "gradio-client>=1.0.0", # For STT/OCR API calls
-    "soundfile>=0.12.0", # For audio file I/O
-    "pillow>=10.0.0", # For image processing
-    "torch>=2.0.0", # Required by Kokoro TTS
-    "transformers>=4.57.2", # Required by Kokoro TTS
-    "modal>=0.63.0", # Required for TTS GPU execution
-    "tokenizers>=0.22.0,<=0.23.0",
-    "rpds-py>=0.29.0",
-    "pydantic-ai-slim[huggingface]>=0.0.18",
-    "agent-framework-core>=1.0.0b251120,<2.0.0",
-    "chromadb>=0.4.0",
-    "sentence-transformers>=2.2.0",
-    "numpy<2.0",
-    "llama-index-llms-openai>=0.6.9",
-    "llama-index-embeddings-openai>=0.5.1",
-    "ddgs>=9.9.2",
-    "aiohttp>=3.13.2",
-    "lxml>=6.0.2",
-    "fake-useragent==2.2.0",
-    "socksio==1.0.0",
-    "neo4j>=6.0.3",
-    "md2pdf>=1.0.1",
-]
-
-[project.optional-dependencies]
-dev = [
-    # Testing
-    "pytest>=8.0",
-    "pytest-asyncio>=0.23",
-    "pytest-sugar>=1.0",
-    "pytest-cov>=5.0",
-    "pytest-mock>=3.12",
-    "respx>=0.21",                   # Mock httpx requests
-    "typer>=0.9.0",                  # Gradio CLI dependency for smoke tests
-
-    # Quality
-    "ruff>=0.4.0",
-    "mypy>=1.10",
-    "pre-commit>=3.7",
-    
-    # Documentation
-    "mkdocs>=1.6.0",
-    "mkdocs-material>=9.0.0",
-    "mkdocs-mermaid2-plugin>=1.1.0",
-    "mkdocs-codeinclude-plugin>=0.2.0",
-    "mkdocs-git-revision-date-localized-plugin>=1.2.0",
-    "mkdocs-minify-plugin>=0.8.0",
-    "pymdown-extensions>=10.17.2",
-]
-magentic = [
-    "agent-framework-core>=1.0.0b251120,<2.0.0",  # Microsoft Agent Framework (PyPI)
-]
-embeddings = [
-    "chromadb>=0.4.0",
-    "sentence-transformers>=2.2.0",
-    "numpy<2.0",  # chromadb compatibility: uses np.float_ removed in NumPy 2.0
-]
-modal = [
-    # Mario's Modal code execution + LlamaIndex RAG
-    # Note: modal>=0.63.0 is now in main dependencies for TTS support
-    "llama-index>=0.11.0",
-    "llama-index-llms-openai>=0.6.9",
-    "llama-index-embeddings-openai>=0.5.1",
-    "llama-index-vector-stores-chroma",
-    "chromadb>=0.4.0",
-    "numpy<2.0", # chromadb compatibility: uses np.float_ removed in NumPy 2.0
-]
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.hatch.build.targets.wheel]
-packages = ["src"]
-
-# ============== RUFF CONFIG ==============
-[tool.ruff]
-line-length = 100
-target-version = "py311"
-src = ["src"]
-exclude = [
-    "tests/",
-    "examples/",
-    "reference_repos/",
-    "folder/",
-]
-
-[tool.ruff.lint]
-select = [
-    "E",    # pycodestyle errors
-    "F",    # pyflakes
-    "B",    # flake8-bugbear
-    "I",    # isort
-    "N",    # pep8-naming
-    "UP",   # pyupgrade
-    "PL",   # pylint
-    "RUF",  # ruff-specific
-]
-ignore = [
-    "PLR0913",  # Too many arguments (agents need many params)
-    "PLR0912",  # Too many branches (complex orchestrator logic)
-    "PLR0911",  # Too many return statements (complex agent logic)
-    "PLR0915",  # Too many statements (Gradio UI setup functions)
-    "PLR2004",  # Magic values (statistical constants like p-values)
-    "PLW0603",  # Global statement (singleton pattern for Modal)
-    "PLC0415",  # Lazy imports for optional dependencies
-    "E402",     # Module level import not at top (needed for pytest.importorskip)
-    "E501",     # Line too long (ignore line length violations)
-    "RUF100",   # Unused noqa (version differences between local/CI)
-]
-
-[tool.ruff.lint.isort]
-known-first-party = ["src"]
-
-# ============== MYPY CONFIG ==============
-[tool.mypy]
-python_version = "3.11"
-strict = true
-ignore_missing_imports = true
-disallow_untyped_defs = true
-warn_return_any = true
-warn_unused_ignores = false
-explicit_package_bases = true
-mypy_path = "."
-exclude = [
-    "^reference_repos/",
-    "^examples/",
-    "^folder/",
-    "^src/app.py",
-]
-
-# ============== PYTEST CONFIG ==============
-[tool.pytest.ini_options]
-testpaths = ["tests"]
-asyncio_mode = "auto"
-addopts = [
-    "-v",
-    "--tb=short",
-    "--strict-markers",
-    "-p",
-    "no:logfire",
-]
-markers = [
-    "unit: Unit tests (mocked)",
-    "integration: Integration tests (real APIs)",
-    "slow: Slow tests",
-    "openai: Tests that require OpenAI API key",
-    "huggingface: Tests that require HuggingFace API key or use HuggingFace models",
-    "embedding_provider: Tests that require API-based embedding providers (OpenAI, etc.)",
-    "local_embeddings: Tests that use local embeddings (sentence-transformers, ChromaDB)",
-]
-
-# ============== COVERAGE CONFIG ==============
-[tool.coverage.run]
-source = ["src"]
-omit = ["*/__init__.py"]
-
-[tool.coverage.report]
-exclude_lines = [
-    "pragma: no cover",
-    "if TYPE_CHECKING:",
-    "raise NotImplementedError",
-]
-
-[dependency-groups]
-dev = [
-    "mkdocs>=1.6.1",
-    "mkdocs-codeinclude-plugin>=0.2.1",
-    "mkdocs-material>=9.7.0",
-    "mkdocs-mermaid2-plugin>=1.2.3",
-    "mkdocs-git-revision-date-localized-plugin>=1.2.0",
-    "mkdocs-minify-plugin>=0.8.0",
-    "structlog>=25.5.0",
-    "ty>=0.0.1a28",
-]
-
-# Note: agent-framework-core is optional for magentic mode (multi-agent orchestration)
-# Version pinned to 1.0.0b* to avoid breaking changes. CI skips tests via pytest.importorskip
diff --git a/requirements.txt b/requirements.txt
index cf1b66bb960423122615ba3340799ef6e9d92435..3dfd393b3eb853eff9cee0d4e8ad62f73ba27ff0 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,92 +1 @@
-########################## 
-# DO NOT USE THIS FILE
-# FOR GRADIO DEMO ONLY
-##########################
-
-
-#Core dependencies for HuggingFace Spaces
-pydantic>=2.7
-pydantic-settings>=2.2
-pydantic-ai>=0.0.16
-
-# OPTIONAL AI Providers
-openai>=1.0.0
-anthropic>=0.18.0
-
-# HTTP & Parsing
-httpx>=0.27
-aiohttp>=3.13.2  # Required for website crawling
-beautifulsoup4>=4.12
-lxml>=6.0.2  # Required for BeautifulSoup lxml parser (faster than html.parser)
-xmltodict>=0.13
-
-# HuggingFace Hub
-huggingface-hub>=0.20.0
-
-# UI (Gradio with MCP server support)
-gradio[mcp,oauth]>=6.0.0
-
-# Utils
-python-dotenv>=1.0
-tenacity>=8.2
-structlog>=24.1
-requests>=2.32.5
-limits>=3.0  # Rate limiting
-pydantic-graph>=1.22.0
-
-# Web search
-ddgs>=9.9.2  # duckduckgo-search has been renamed to ddgs
-fake-useragent==2.2.0
-socksio==1.0.0
-# LlamaIndex RAG
-llama-index-llms-huggingface>=0.6.1
-llama-index-llms-huggingface-api>=0.6.1
-llama-index-vector-stores-chroma>=0.5.3
-llama-index>=0.14.8
-
-# Audio/Image processing
-gradio-client>=1.0.0  # For STT/OCR API calls
-soundfile>=0.12.0  # For audio file I/O
-pillow>=10.0.0  # For image processing
-
-# TTS dependencies (for Modal GPU TTS)
-torch>=2.0.0  # Required by Kokoro TTS
-transformers>=4.57.2  # Required by Kokoro TTS
-modal>=0.63.0  # Required for TTS GPU execution
-# Note: Kokoro is installed in Modal image from: git+https://github.com/hexgrad/kokoro.git
-
-# Embeddings & Vector Store
-tokenizers>=0.22.0,<=0.23.0
-rpds-py>=0.29.0  # Python implementation of rpds (required by chromadb on Windows)
-chromadb>=0.4.0
-sentence-transformers>=2.2.0
-numpy<2.0  # chromadb compatibility: uses np.float_ removed in NumPy 2.0
-neo4j>=6.0.3
-
-### DOCUMENT STUFF
-
-cssselect2==0.8.0                                                                                                                                              
-docopt==0.6.2                                                                                                                                                  
-fonttools==4.61.0
-markdown2==2.5.4
-md2pdf==1.0.1
-pydyf==0.11.0
-pyphen==0.17.2
-tinycss2==1.5.1
-tinyhtml5==2.0.0
-weasyprint==66.0
-webencodings==0.5.1
-zopfli==0.4.0
-
-# Optional: Modal for code execution
-modal>=0.63.0
-
-# Pydantic AI with HuggingFace support
-pydantic-ai-slim[huggingface]>=0.0.18
-
-# Multi-agent orchestration (Advanced mode)
-agent-framework-core>=1.0.0b251120,<2.0.0
-
-# LlamaIndex RAG - OpenAI
-llama-index-llms-openai>=0.6.9
-llama-index-embeddings-openai>=0.5.1
+deepcritical
\ No newline at end of file
diff --git a/site/404.html b/site/404.html
deleted file mode 100644
index e27584cf925588e1877fa35980693a314efa832c..0000000000000000000000000000000000000000
--- a/site/404.html
+++ /dev/null
@@ -1 +0,0 @@
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data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=agents-api-reference>Agents API Reference<a class=headerlink href=#agents-api-reference title="Anchor link to this section">&para;</a></h1> <p>This page documents the API for DeepCritical agents.</p> <h2 id=knowledgegapagent>KnowledgeGapAgent<a class=headerlink href=#knowledgegapagent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.knowledge_gap</code></p> <p><strong>Purpose</strong>: Evaluates research state and identifies knowledge gaps.</p> <h3 id=methods>Methods<a class=headerlink href=#methods title="Anchor link to this section">&para;</a></h3> <h4 id=evaluate><code>evaluate</code><a class=headerlink href=#evaluate title="Anchor link to this section">&para;</a></h4> <p>Evaluates research completeness and identifies outstanding knowledge gaps.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>background_context</code>: Background context for the query (default: "") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: "") - <code>iteration</code>: Current iteration number (default: 0) - <code>time_elapsed_minutes</code>: Elapsed time in minutes (default: 0.0) - <code>max_time_minutes</code>: Maximum time limit in minutes (default: 10)</p> <p><strong>Returns</strong>: <code>KnowledgeGapOutput</code> with: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p> <h2 id=toolselectoragent>ToolSelectorAgent<a class=headerlink href=#toolselectoragent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.tool_selector</code></p> <p><strong>Purpose</strong>: Selects appropriate tools for addressing knowledge gaps.</p> <h3 id=methods_1>Methods<a class=headerlink href=#methods_1 title="Anchor link to this section">&para;</a></h3> <h4 id=select_tools><code>select_tools</code><a class=headerlink href=#select_tools title="Anchor link to this section">&para;</a></h4> <p>Selects tools for addressing a knowledge gap.</p> <p><strong>Parameters</strong>: - <code>gap</code>: The knowledge gap to address - <code>query</code>: Research query string - <code>background_context</code>: Optional background context (default: "") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: "")</p> <p><strong>Returns</strong>: <code>AgentSelectionPlan</code> with list of <code>AgentTask</code> objects.</p> <h2 id=writeragent>WriterAgent<a class=headerlink href=#writeragent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.writer</code></p> <p><strong>Purpose</strong>: Generates final reports from research findings.</p> <h3 id=methods_2>Methods<a class=headerlink href=#methods_2 title="Anchor link to this section">&para;</a></h3> <h4 id=write_report><code>write_report</code><a class=headerlink href=#write_report title="Anchor link to this section">&para;</a></h4> <p>Generates a markdown report from research findings.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>findings</code>: Research findings to include in report - <code>output_length</code>: Optional description of desired output length (default: "") - <code>output_instructions</code>: Optional additional instructions for report generation (default: "")</p> <p><strong>Returns</strong>: Markdown string with numbered citations.</p> <h2 id=longwriteragent>LongWriterAgent<a class=headerlink href=#longwriteragent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.long_writer</code></p> <p><strong>Purpose</strong>: Long-form report generation with section-by-section writing.</p> <h3 id=methods_3>Methods<a class=headerlink href=#methods_3 title="Anchor link to this section">&para;</a></h3> <h4 id=write_next_section><code>write_next_section</code><a class=headerlink href=#write_next_section title="Anchor link to this section">&para;</a></h4> <p>Writes the next section of a long-form report.</p> <p><strong>Parameters</strong>: - <code>original_query</code>: The original research query - <code>report_draft</code>: Current report draft as string (all sections written so far) - <code>next_section_title</code>: Title of the section to write - <code>next_section_draft</code>: Draft content for the next section</p> <p><strong>Returns</strong>: <code>LongWriterOutput</code> with formatted section and references.</p> <h4 id=write_report_1><code>write_report</code><a class=headerlink href=#write_report_1 title="Anchor link to this section">&para;</a></h4> <p>Generates final report from draft.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>report_title</code>: Title of the report - <code>report_draft</code>: Complete report draft</p> <p><strong>Returns</strong>: Final markdown report string.</p> <h2 id=proofreaderagent>ProofreaderAgent<a class=headerlink href=#proofreaderagent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.proofreader</code></p> <p><strong>Purpose</strong>: Proofreads and polishes report drafts.</p> <h3 id=methods_4>Methods<a class=headerlink href=#methods_4 title="Anchor link to this section">&para;</a></h3> <h4 id=proofread><code>proofread</code><a class=headerlink href=#proofread title="Anchor link to this section">&para;</a></h4> <p>Proofreads and polishes a report draft.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>report_title</code>: Title of the report - <code>report_draft</code>: Report draft to proofread</p> <p><strong>Returns</strong>: Polished markdown string.</p> <h2 id=thinkingagent>ThinkingAgent<a class=headerlink href=#thinkingagent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.thinking</code></p> <p><strong>Purpose</strong>: Generates observations from conversation history.</p> <h3 id=methods_5>Methods<a class=headerlink href=#methods_5 title="Anchor link to this section">&para;</a></h3> <h4 id=generate_observations><code>generate_observations</code><a class=headerlink href=#generate_observations title="Anchor link to this section">&para;</a></h4> <p>Generates observations from conversation history.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>background_context</code>: Optional background context (default: "") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: "") - <code>iteration</code>: Current iteration number (default: 1)</p> <p><strong>Returns</strong>: Observation string.</p> <h2 id=inputparseragent>InputParserAgent<a class=headerlink href=#inputparseragent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.agents.input_parser</code></p> <p><strong>Purpose</strong>: Parses and improves user queries, detects research mode.</p> <h3 id=methods_6>Methods<a class=headerlink href=#methods_6 title="Anchor link to this section">&para;</a></h3> <h4 id=parse><code>parse</code><a class=headerlink href=#parse title="Anchor link to this section">&para;</a></h4> <p>Parses and improves a user query.</p> <p><strong>Parameters</strong>: - <code>query</code>: Original query string</p> <p><strong>Returns</strong>: <code>ParsedQuery</code> with: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: "iterative" or "deep" - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p> <h2 id=factory-functions>Factory Functions<a class=headerlink href=#factory-functions title="Anchor link to this section">&para;</a></h2> <p>All agents have factory functions in <code>src.agent_factory.agents</code>:</p> <p><strong>Parameters</strong>: - <code>model</code>: Optional Pydantic AI model. 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tabindex> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=true> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Models API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Models API Reference </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#evidence class=md-nav__link> <span class=md-ellipsis> Evidence </span> </a> </li> <li class=md-nav__item> <a href=#citation class=md-nav__link> <span class=md-ellipsis> Citation </span> </a> </li> <li class=md-nav__item> <a href=#knowledgegapoutput class=md-nav__link> <span class=md-ellipsis> KnowledgeGapOutput </span> </a> </li> <li class=md-nav__item> <a href=#agentselectionplan class=md-nav__link> <span class=md-ellipsis> AgentSelectionPlan </span> </a> </li> <li class=md-nav__item> <a href=#agenttask class=md-nav__link> <span class=md-ellipsis> AgentTask </span> </a> </li> <li class=md-nav__item> <a href=#reportdraft class=md-nav__link> <span class=md-ellipsis> ReportDraft </span> </a> </li> <li class=md-nav__item> <a href=#reportsection class=md-nav__link> <span class=md-ellipsis> ReportSection </span> </a> </li> <li class=md-nav__item> <a href=#parsedquery class=md-nav__link> <span class=md-ellipsis> ParsedQuery </span> </a> </li> <li class=md-nav__item> <a href=#conversation class=md-nav__link> <span class=md-ellipsis> Conversation </span> </a> </li> <li class=md-nav__item> <a href=#iterationdata class=md-nav__link> <span class=md-ellipsis> IterationData </span> </a> </li> <li class=md-nav__item> <a href=#agentevent class=md-nav__link> <span class=md-ellipsis> AgentEvent </span> </a> </li> <li class=md-nav__item> <a href=#budgetstatus class=md-nav__link> <span class=md-ellipsis> BudgetStatus </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=models-api-reference>Models API Reference<a class=headerlink href=#models-api-reference title="Anchor link to this section">&para;</a></h1> <p>This page documents the Pydantic models used throughout DeepCritical.</p> <h2 id=evidence>Evidence<a class=headerlink href=#evidence title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Represents evidence from search results.</p> <p><strong>Fields</strong>: - <code>citation</code>: Citation information (title, URL, date, authors) - <code>content</code>: Evidence text content - <code>relevance</code>: Relevance score (0.0-1.0) - <code>metadata</code>: Additional metadata dictionary</p> <h2 id=citation>Citation<a class=headerlink href=#citation title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Citation information for evidence.</p> <p><strong>Fields</strong>: - <code>source</code>: Source name (e.g., "pubmed", "clinicaltrials", "europepmc", "web", "rag") - <code>title</code>: Article/trial title - <code>url</code>: Source URL - <code>date</code>: Publication date (YYYY-MM-DD or "Unknown") - <code>authors</code>: List of authors (optional)</p> <h2 id=knowledgegapoutput>KnowledgeGapOutput<a class=headerlink href=#knowledgegapoutput title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Output from knowledge gap evaluation.</p> <p><strong>Fields</strong>: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p> <h2 id=agentselectionplan>AgentSelectionPlan<a class=headerlink href=#agentselectionplan title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Plan for tool/agent selection.</p> <p><strong>Fields</strong>: - <code>tasks</code>: List of agent tasks to execute</p> <h2 id=agenttask>AgentTask<a class=headerlink href=#agenttask title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Individual agent task.</p> <p><strong>Fields</strong>: - <code>gap</code>: The knowledge gap being addressed (optional) - <code>agent</code>: Name of agent to use - <code>query</code>: The specific query for the agent - <code>entity_website</code>: The website of the entity being researched, if known (optional)</p> <h2 id=reportdraft>ReportDraft<a class=headerlink href=#reportdraft title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Draft structure for long-form reports.</p> <p><strong>Fields</strong>: - <code>sections</code>: List of report sections</p> <h2 id=reportsection>ReportSection<a class=headerlink href=#reportsection title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Individual section in a report draft.</p> <p><strong>Fields</strong>: - <code>section_title</code>: The title of the section - <code>section_content</code>: The content of the section</p> <h2 id=parsedquery>ParsedQuery<a class=headerlink href=#parsedquery title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Parsed and improved query.</p> <p><strong>Fields</strong>: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: Research mode ("iterative" or "deep") - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p> <h2 id=conversation>Conversation<a class=headerlink href=#conversation title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Conversation history with iterations.</p> <p><strong>Fields</strong>: - <code>history</code>: List of iteration data</p> <h2 id=iterationdata>IterationData<a class=headerlink href=#iterationdata title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Data for a single iteration.</p> <p><strong>Fields</strong>: - <code>gap</code>: The gap addressed in the iteration - <code>tool_calls</code>: The tool calls made - <code>findings</code>: The findings collected from tool calls - <code>thought</code>: The thinking done to reflect on the success of the iteration and next steps</p> <h2 id=agentevent>AgentEvent<a class=headerlink href=#agentevent title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Event emitted during research execution.</p> <p><strong>Fields</strong>: - <code>type</code>: Event type (e.g., "started", "search_complete", "complete") - <code>iteration</code>: Iteration number (optional) - <code>data</code>: Event data dictionary</p> <h2 id=budgetstatus>BudgetStatus<a class=headerlink href=#budgetstatus title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.utils.models</code></p> <p><strong>Purpose</strong>: Current budget status.</p> <p><strong>Fields</strong>: - <code>tokens_used</code>: Total tokens used - <code>tokens_limit</code>: Token budget limit - <code>time_elapsed_seconds</code>: Time elapsed in seconds - <code>time_limit_seconds</code>: Time budget limit (default: 600.0 seconds / 10 minutes) - <code>iterations</code>: Number of iterations completed - <code>iterations_limit</code>: Maximum iterations (default: 10) - <code>iteration_tokens</code>: Tokens used per iteration (iteration number -&gt; token count)</p> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../../architecture/agents/ >Architecture - Agents</a> - How models are used</li> <li><a href=../../configuration/ >Configuration</a> - Model configuration</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 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class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=orchestrators-api-reference>Orchestrators API Reference<a class=headerlink href=#orchestrators-api-reference title="Anchor link to this section">&para;</a></h1> <p>This page documents the API for DeepCritical orchestrators.</p> <h2 id=iterativeresearchflow>IterativeResearchFlow<a class=headerlink href=#iterativeresearchflow title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.orchestrator.research_flow</code></p> <p><strong>Purpose</strong>: Single-loop research with search-judge-synthesize cycles.</p> <h3 id=methods>Methods<a class=headerlink href=#methods title="Anchor link to this section">&para;</a></h3> <h4 id=run><code>run</code><a class=headerlink href=#run title="Anchor link to this section">&para;</a></h4> <p>Runs iterative research flow.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string - <code>background_context</code>: Background context (default: "") - <code>output_length</code>: Optional description of desired output length (default: "") - <code>output_instructions</code>: Optional additional instructions for report generation (default: "")</p> <p><strong>Returns</strong>: Final report string.</p> <p><strong>Note</strong>: <code>max_iterations</code>, <code>max_time_minutes</code>, and <code>token_budget</code> are constructor parameters, not <code>run()</code> parameters.</p> <h2 id=deepresearchflow>DeepResearchFlow<a class=headerlink href=#deepresearchflow title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.orchestrator.research_flow</code></p> <p><strong>Purpose</strong>: Multi-section parallel research with planning and synthesis.</p> <h3 id=methods_1>Methods<a class=headerlink href=#methods_1 title="Anchor link to this section">&para;</a></h3> <h4 id=run_1><code>run</code><a class=headerlink href=#run_1 title="Anchor link to this section">&para;</a></h4> <p>Runs deep research flow.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string</p> <p><strong>Returns</strong>: Final report string.</p> <p><strong>Note</strong>: <code>max_iterations_per_section</code>, <code>max_time_minutes</code>, and <code>token_budget</code> are constructor parameters, not <code>run()</code> parameters.</p> <h2 id=graphorchestrator>GraphOrchestrator<a class=headerlink href=#graphorchestrator title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.orchestrator.graph_orchestrator</code></p> <p><strong>Purpose</strong>: Graph-based execution using Pydantic AI agents as nodes.</p> <h3 id=methods_2>Methods<a class=headerlink href=#methods_2 title="Anchor link to this section">&para;</a></h3> <h4 id=run_2><code>run</code><a class=headerlink href=#run_2 title="Anchor link to this section">&para;</a></h4> <p>Runs graph-based research orchestration.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string</p> <p><strong>Yields</strong>: <code>AgentEvent</code> objects during graph execution.</p> <p><strong>Note</strong>: <code>research_mode</code> and <code>use_graph</code> are constructor parameters, not <code>run()</code> parameters.</p> <h2 id=orchestrator-factory>Orchestrator Factory<a class=headerlink href=#orchestrator-factory title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.orchestrator_factory</code></p> <p><strong>Purpose</strong>: Factory for creating orchestrators.</p> <h3 id=functions>Functions<a class=headerlink href=#functions title="Anchor link to this section">&para;</a></h3> <h4 id=create_orchestrator><code>create_orchestrator</code><a class=headerlink href=#create_orchestrator title="Anchor link to this section">&para;</a></h4> <p>Creates an orchestrator instance.</p> <p><strong>Parameters</strong>: - <code>search_handler</code>: Search handler protocol implementation (optional, required for simple mode) - <code>judge_handler</code>: Judge handler protocol implementation (optional, required for simple mode) - <code>config</code>: Configuration object (optional) - <code>mode</code>: Orchestrator mode ("simple", "advanced", "magentic", "iterative", "deep", "auto", or None for auto-detect) - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (takes priority over env vars)</p> <p><strong>Returns</strong>: Orchestrator instance.</p> <p><strong>Raises</strong>: - <code>ValueError</code>: If requirements not met</p> <p><strong>Modes</strong>: - <code>"simple"</code>: Legacy orchestrator - <code>"advanced"</code> or <code>"magentic"</code>: Magentic orchestrator (requires OpenAI API key) - <code>None</code>: Auto-detect based on API key availability</p> <h2 id=magenticorchestrator>MagenticOrchestrator<a class=headerlink href=#magenticorchestrator title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.orchestrator_magentic</code></p> <p><strong>Purpose</strong>: Multi-agent coordination using Microsoft Agent Framework.</p> <h3 id=methods_3>Methods<a class=headerlink href=#methods_3 title="Anchor link to this section">&para;</a></h3> <h4 id=run_3><code>run</code><a class=headerlink href=#run_3 title="Anchor link to this section">&para;</a></h4> <p>Runs Magentic orchestration.</p> <p><strong>Parameters</strong>: - <code>query</code>: Research query string</p> <p><strong>Yields</strong>: <code>AgentEvent</code> objects converted from Magentic events.</p> <p><strong>Note</strong>: 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diff --git a/site/api/services/index.html b/site/api/services/index.html
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<span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=services-api-reference>Services API Reference<a class=headerlink href=#services-api-reference title="Anchor link to this section">&para;</a></h1> <p>This page documents the API for DeepCritical services.</p> <h2 id=embeddingservice>EmbeddingService<a class=headerlink href=#embeddingservice title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.services.embeddings</code></p> <p><strong>Purpose</strong>: Local sentence-transformers for semantic search and deduplication.</p> <h3 id=methods>Methods<a class=headerlink href=#methods title="Anchor link to this section">&para;</a></h3> <h4 id=embed><code>embed</code><a class=headerlink href=#embed title="Anchor link to this section">&para;</a></h4> <p>Generates embedding for a text string.</p> <p><strong>Parameters</strong>: - <code>text</code>: Text to embed</p> <p><strong>Returns</strong>: Embedding vector as list of floats.</p> <h4 id=embed_batch><code>embed_batch</code><a class=headerlink href=#embed_batch title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>embed_batch</span><span class=p>(</span><span class=bp>self</span><span class=p>,</span> <span class=n>texts</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=nb>str</span><span class=p>])</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=nb>list</span><span class=p>[</span><span class=nb>float</span><span class=p>]]</span>
-</span></code></pre></div> <p>Generates embeddings for multiple texts.</p> <p><strong>Parameters</strong>: - <code>texts</code>: List of texts to embed</p> <p><strong>Returns</strong>: List of embedding vectors.</p> <h4 id=similarity><code>similarity</code><a class=headerlink href=#similarity title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>similarity</span><span class=p>(</span><span class=bp>self</span><span class=p>,</span> <span class=n>text1</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span> <span class=n>text2</span><span class=p>:</span> <span class=nb>str</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>float</span>
-</span></code></pre></div> <p>Calculates similarity between two texts.</p> <p><strong>Parameters</strong>: - <code>text1</code>: First text - <code>text2</code>: Second text</p> <p><strong>Returns</strong>: Similarity score (0.0-1.0).</p> <h4 id=find_duplicates><code>find_duplicates</code><a class=headerlink href=#find_duplicates title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>find_duplicates</span><span class=p>(</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>    <span class=n>texts</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=nb>str</span><span class=p>],</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a>    <span class=n>threshold</span><span class=p>:</span> <span class=nb>float</span> <span class=o>=</span> <span class=mf>0.85</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=nb>tuple</span><span class=p>[</span><span class=nb>int</span><span class=p>,</span> <span class=nb>int</span><span class=p>]]</span>
-</span></code></pre></div> <p>Finds duplicate texts based on similarity threshold.</p> <p><strong>Parameters</strong>: - <code>texts</code>: List of texts to check - <code>threshold</code>: Similarity threshold (default: 0.85)</p> <p><strong>Returns</strong>: List of (index1, index2) tuples for duplicate pairs.</p> <h4 id=add_evidence><code>add_evidence</code><a class=headerlink href=#add_evidence title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>add_evidence</span><span class=p>(</span>
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-3-3><a id=__codelineno-3-3 name=__codelineno-3-3 href=#__codelineno-3-3></a>    <span class=n>evidence_id</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-3-4><a id=__codelineno-3-4 name=__codelineno-3-4 href=#__codelineno-3-4></a>    <span class=n>content</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-3-5><a id=__codelineno-3-5 name=__codelineno-3-5 href=#__codelineno-3-5></a>    <span class=n>metadata</span><span class=p>:</span> <span class=nb>dict</span><span class=p>[</span><span class=nb>str</span><span class=p>,</span> <span class=n>Any</span><span class=p>]</span>
-</span><span id=__span-3-6><a id=__codelineno-3-6 name=__codelineno-3-6 href=#__codelineno-3-6></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=kc>None</span>
-</span></code></pre></div> <p>Adds evidence to vector store for semantic search.</p> <p><strong>Parameters</strong>: - <code>evidence_id</code>: Unique identifier for the evidence - <code>content</code>: Evidence text content - <code>metadata</code>: Additional metadata dictionary</p> <h4 id=search_similar><code>search_similar</code><a class=headerlink href=#search_similar title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search_similar</span><span class=p>(</span>
-</span><span id=__span-4-2><a id=__codelineno-4-2 name=__codelineno-4-2 href=#__codelineno-4-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-4-3><a id=__codelineno-4-3 name=__codelineno-4-3 href=#__codelineno-4-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-4-4><a id=__codelineno-4-4 name=__codelineno-4-4 href=#__codelineno-4-4></a>    <span class=n>n_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>5</span>
-</span><span id=__span-4-5><a id=__codelineno-4-5 name=__codelineno-4-5 href=#__codelineno-4-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=nb>dict</span><span class=p>[</span><span class=nb>str</span><span class=p>,</span> <span class=n>Any</span><span class=p>]]</span>
-</span></code></pre></div> <p>Finds semantically similar evidence.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>n_results</code>: Number of results to return (default: 5)</p> <p><strong>Returns</strong>: List of dictionaries with <code>id</code>, <code>content</code>, <code>metadata</code>, and <code>distance</code> keys.</p> <h4 id=deduplicate><code>deduplicate</code><a class=headerlink href=#deduplicate title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>deduplicate</span><span class=p>(</span>
-</span><span id=__span-5-2><a id=__codelineno-5-2 name=__codelineno-5-2 href=#__codelineno-5-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-5-3><a id=__codelineno-5-3 name=__codelineno-5-3 href=#__codelineno-5-3></a>    <span class=n>new_evidence</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>],</span>
-</span><span id=__span-5-4><a id=__codelineno-5-4 name=__codelineno-5-4 href=#__codelineno-5-4></a>    <span class=n>threshold</span><span class=p>:</span> <span class=nb>float</span> <span class=o>=</span> <span class=mf>0.9</span>
-</span><span id=__span-5-5><a id=__codelineno-5-5 name=__codelineno-5-5 href=#__codelineno-5-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]</span>
-</span></code></pre></div> <p>Removes semantically duplicate evidence.</p> <p><strong>Parameters</strong>: - <code>new_evidence</code>: List of evidence items to deduplicate - <code>threshold</code>: Similarity threshold (default: 0.9, where 0.9 = 90% similar is duplicate)</p> <p><strong>Returns</strong>: List of unique evidence items (not already in vector store).</p> <h3 id=factory-function>Factory Function<a class=headerlink href=#factory-function title="Anchor link to this section">&para;</a></h3> <h4 id=get_embedding_service><code>get_embedding_service</code><a class=headerlink href=#get_embedding_service title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a><span class=nd>@lru_cache</span><span class=p>(</span><span class=n>maxsize</span><span class=o>=</span><span class=mi>1</span><span class=p>)</span>
-</span><span id=__span-6-2><a id=__codelineno-6-2 name=__codelineno-6-2 href=#__codelineno-6-2></a><span class=k>def</span><span class=w> </span><span class=nf>get_embedding_service</span><span class=p>()</span> <span class=o>-&gt;</span> <span class=n>EmbeddingService</span>
-</span></code></pre></div> <p>Returns singleton EmbeddingService instance.</p> <h2 id=llamaindexragservice>LlamaIndexRAGService<a class=headerlink href=#llamaindexragservice title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.services.rag</code></p> <p><strong>Purpose</strong>: Retrieval-Augmented Generation using LlamaIndex.</p> <h3 id=methods_1>Methods<a class=headerlink href=#methods_1 title="Anchor link to this section">&para;</a></h3> <h4 id=ingest_evidence><code>ingest_evidence</code><a class=headerlink href=#ingest_evidence title="Anchor link to this section">&para;</a></h4> <p>Ingests evidence into RAG service.</p> <p><strong>Parameters</strong>: - <code>evidence_list</code>: List of Evidence objects to ingest</p> <p><strong>Note</strong>: Supports multiple embedding providers (OpenAI, local sentence-transformers, Hugging Face).</p> <h4 id=retrieve><code>retrieve</code><a class=headerlink href=#retrieve title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a><span class=k>def</span><span class=w> </span><span class=nf>retrieve</span><span class=p>(</span>
-</span><span id=__span-7-2><a id=__codelineno-7-2 name=__codelineno-7-2 href=#__codelineno-7-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-7-3><a id=__codelineno-7-3 name=__codelineno-7-3 href=#__codelineno-7-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-7-4><a id=__codelineno-7-4 name=__codelineno-7-4 href=#__codelineno-7-4></a>    <span class=n>top_k</span><span class=p>:</span> <span class=nb>int</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span>
-</span><span id=__span-7-5><a id=__codelineno-7-5 name=__codelineno-7-5 href=#__codelineno-7-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=nb>dict</span><span class=p>[</span><span class=nb>str</span><span class=p>,</span> <span class=n>Any</span><span class=p>]]</span>
-</span></code></pre></div> <p>Retrieves relevant documents for a query.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>top_k</code>: Number of top results to return (defaults to <code>similarity_top_k</code> from constructor)</p> <p><strong>Returns</strong>: List of dictionaries with <code>text</code>, <code>score</code>, and <code>metadata</code> keys.</p> <h4 id=query><code>query</code><a class=headerlink href=#query title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a><span class=k>def</span><span class=w> </span><span class=nf>query</span><span class=p>(</span>
-</span><span id=__span-8-2><a id=__codelineno-8-2 name=__codelineno-8-2 href=#__codelineno-8-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-8-3><a id=__codelineno-8-3 name=__codelineno-8-3 href=#__codelineno-8-3></a>    <span class=n>query_str</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-8-4><a id=__codelineno-8-4 name=__codelineno-8-4 href=#__codelineno-8-4></a>    <span class=n>top_k</span><span class=p>:</span> <span class=nb>int</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span>
-</span><span id=__span-8-5><a id=__codelineno-8-5 name=__codelineno-8-5 href=#__codelineno-8-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span>
-</span></code></pre></div> <p>Queries RAG service and returns synthesized response.</p> <p><strong>Parameters</strong>: - <code>query_str</code>: Query string - <code>top_k</code>: Number of results to use (defaults to <code>similarity_top_k</code> from constructor)</p> <p><strong>Returns</strong>: Synthesized response string.</p> <p><strong>Raises</strong>: - <code>ConfigurationError</code>: If no LLM API key is available for query synthesis</p> <h4 id=ingest_documents><code>ingest_documents</code><a class=headerlink href=#ingest_documents title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a><span class=k>def</span><span class=w> </span><span class=nf>ingest_documents</span><span class=p>(</span><span class=bp>self</span><span class=p>,</span> <span class=n>documents</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=n>Any</span><span class=p>])</span> <span class=o>-&gt;</span> <span class=kc>None</span>
-</span></code></pre></div> <p>Ingests raw LlamaIndex Documents.</p> <p><strong>Parameters</strong>: - <code>documents</code>: List of LlamaIndex Document objects</p> <h4 id=clear_collection><code>clear_collection</code><a class=headerlink href=#clear_collection title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a><span class=k>def</span><span class=w> </span><span class=nf>clear_collection</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=kc>None</span>
-</span></code></pre></div> <p>Clears all documents from the collection.</p> <h3 id=factory-function_1>Factory Function<a class=headerlink href=#factory-function_1 title="Anchor link to this section">&para;</a></h3> <h4 id=get_rag_service><code>get_rag_service</code><a class=headerlink href=#get_rag_service title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-11-1><a id=__codelineno-11-1 name=__codelineno-11-1 href=#__codelineno-11-1></a><span class=k>def</span><span class=w> </span><span class=nf>get_rag_service</span><span class=p>(</span>
-</span><span id=__span-11-2><a id=__codelineno-11-2 name=__codelineno-11-2 href=#__codelineno-11-2></a>    <span class=n>collection_name</span><span class=p>:</span> <span class=nb>str</span> <span class=o>=</span> <span class=s2>&quot;deepcritical_evidence&quot;</span><span class=p>,</span>
-</span><span id=__span-11-3><a id=__codelineno-11-3 name=__codelineno-11-3 href=#__codelineno-11-3></a>    <span class=n>oauth_token</span><span class=p>:</span> <span class=nb>str</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span><span class=p>,</span>
-</span><span id=__span-11-4><a id=__codelineno-11-4 name=__codelineno-11-4 href=#__codelineno-11-4></a>    <span class=o>**</span><span class=n>kwargs</span><span class=p>:</span> <span class=n>Any</span>
-</span><span id=__span-11-5><a id=__codelineno-11-5 name=__codelineno-11-5 href=#__codelineno-11-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=n>LlamaIndexRAGService</span>
-</span></code></pre></div> <p>Get or create a RAG service instance.</p> <p><strong>Parameters</strong>: - <code>collection_name</code>: Name of the ChromaDB collection (default: "deepcritical_evidence") - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (takes priority over env vars) - <code>**kwargs</code>: Additional arguments for LlamaIndexRAGService (e.g., <code>use_openai_embeddings=False</code>)</p> <p><strong>Returns</strong>: Configured LlamaIndexRAGService instance.</p> <p><strong>Note</strong>: By default, uses local embeddings (sentence-transformers) which require no API keys.</p> <h2 id=statisticalanalyzer>StatisticalAnalyzer<a class=headerlink href=#statisticalanalyzer title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.services.statistical_analyzer</code></p> <p><strong>Purpose</strong>: Secure execution of AI-generated statistical code.</p> <h3 id=methods_2>Methods<a class=headerlink href=#methods_2 title="Anchor link to this section">&para;</a></h3> <h4 id=analyze><code>analyze</code><a class=headerlink href=#analyze title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-12-1><a id=__codelineno-12-1 name=__codelineno-12-1 href=#__codelineno-12-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>analyze</span><span class=p>(</span>
-</span><span id=__span-12-2><a id=__codelineno-12-2 name=__codelineno-12-2 href=#__codelineno-12-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-12-3><a id=__codelineno-12-3 name=__codelineno-12-3 href=#__codelineno-12-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-12-4><a id=__codelineno-12-4 name=__codelineno-12-4 href=#__codelineno-12-4></a>    <span class=n>evidence</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>],</span>
-</span><span id=__span-12-5><a id=__codelineno-12-5 name=__codelineno-12-5 href=#__codelineno-12-5></a>    <span class=n>hypothesis</span><span class=p>:</span> <span class=nb>dict</span><span class=p>[</span><span class=nb>str</span><span class=p>,</span> <span class=n>Any</span><span class=p>]</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span>
-</span><span id=__span-12-6><a id=__codelineno-12-6 name=__codelineno-12-6 href=#__codelineno-12-6></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=n>AnalysisResult</span>
-</span></code></pre></div> <p>Analyzes a research question using statistical methods.</p> <p><strong>Parameters</strong>: - <code>query</code>: The research question - <code>evidence</code>: List of Evidence objects to analyze - <code>hypothesis</code>: Optional hypothesis dict with <code>drug</code>, <code>target</code>, <code>pathway</code>, <code>effect</code>, <code>confidence</code> keys</p> <p><strong>Returns</strong>: <code>AnalysisResult</code> with: - <code>verdict</code>: SUPPORTED, REFUTED, or INCONCLUSIVE - <code>confidence</code>: Confidence in verdict (0.0-1.0) - <code>statistical_evidence</code>: Summary of statistical findings - <code>code_generated</code>: Python code that was executed - <code>execution_output</code>: Output from code execution - <code>key_takeaways</code>: Key takeaways from analysis - <code>limitations</code>: List of limitations</p> <p><strong>Note</strong>: Requires Modal credentials for sandbox execution.</p> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../../architecture/services/ >Architecture - 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class=md-nav__link> <span class=md-ellipsis> Workflow Diagrams </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/agents/ class=md-nav__link> <span class=md-ellipsis> Agents </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/tools/ class=md-nav__link> <span class=md-ellipsis> Tools </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/middleware/ class=md-nav__link> <span class=md-ellipsis> Middleware </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/services/ class=md-nav__link> <span class=md-ellipsis> Services </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_6 checked> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=true> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Tools API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Tools API Reference </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#searchtool-protocol class=md-nav__link> <span class=md-ellipsis> SearchTool Protocol </span> </a> </li> <li class=md-nav__item> <a href=#pubmedtool class=md-nav__link> <span class=md-ellipsis> PubMedTool </span> </a> <nav class=md-nav aria-label=PubMedTool> <ul class=md-nav__list> <li class=md-nav__item> <a href=#properties class=md-nav__link> <span class=md-ellipsis> Properties </span> </a> </li> <li class=md-nav__item> <a href=#methods class=md-nav__link> <span class=md-ellipsis> Methods </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#clinicaltrialstool class=md-nav__link> <span class=md-ellipsis> ClinicalTrialsTool </span> </a> <nav class=md-nav aria-label=ClinicalTrialsTool> <ul class=md-nav__list> <li class=md-nav__item> <a href=#properties_1 class=md-nav__link> <span class=md-ellipsis> Properties </span> </a> </li> <li class=md-nav__item> <a href=#methods_1 class=md-nav__link> <span class=md-ellipsis> Methods </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#europepmctool class=md-nav__link> <span class=md-ellipsis> EuropePMCTool </span> </a> <nav class=md-nav aria-label=EuropePMCTool> <ul class=md-nav__list> <li class=md-nav__item> <a href=#properties_2 class=md-nav__link> <span class=md-ellipsis> Properties </span> </a> </li> <li class=md-nav__item> <a href=#methods_2 class=md-nav__link> <span class=md-ellipsis> Methods </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#ragtool class=md-nav__link> <span class=md-ellipsis> RAGTool </span> </a> <nav class=md-nav aria-label=RAGTool> <ul class=md-nav__list> <li class=md-nav__item> <a href=#initialization class=md-nav__link> <span class=md-ellipsis> Initialization </span> </a> </li> <li class=md-nav__item> <a href=#properties_3 class=md-nav__link> <span class=md-ellipsis> Properties </span> </a> </li> <li class=md-nav__item> <a href=#methods_3 class=md-nav__link> <span class=md-ellipsis> Methods </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#searchhandler class=md-nav__link> <span class=md-ellipsis> SearchHandler </span> </a> <nav class=md-nav aria-label=SearchHandler> <ul class=md-nav__list> <li class=md-nav__item> <a href=#initialization_1 class=md-nav__link> <span class=md-ellipsis> Initialization </span> </a> </li> <li class=md-nav__item> <a href=#methods_4 class=md-nav__link> <span class=md-ellipsis> Methods </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=tools-api-reference>Tools API Reference<a class=headerlink href=#tools-api-reference title="Anchor link to this section">&para;</a></h1> <p>This page documents the API for DeepCritical search tools.</p> <h2 id=searchtool-protocol>SearchTool Protocol<a class=headerlink href=#searchtool-protocol title="Anchor link to this section">&para;</a></h2> <p>All tools implement the <code>SearchTool</code> protocol:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>class</span><span class=w> </span><span class=nc>SearchTool</span><span class=p>(</span><span class=n>Protocol</span><span class=p>):</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>    <span class=nd>@property</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>    <span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span><span class=p>:</span> <span class=o>...</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>    
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>    <span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>        <span class=bp>self</span><span class=p>,</span> 
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>        <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span> 
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a>        <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a>    <span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]:</span> <span class=o>...</span>
-</span></code></pre></div> <h2 id=pubmedtool>PubMedTool<a class=headerlink href=#pubmedtool title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.tools.pubmed</code></p> <p><strong>Purpose</strong>: Search peer-reviewed biomedical literature from PubMed.</p> <h3 id=properties>Properties<a class=headerlink href=#properties title="Anchor link to this section">&para;</a></h3> <h4 id=name><code>name</code><a class=headerlink href=#name title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=nd>@property</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a><span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span>
-</span></code></pre></div> <p>Returns tool name: <code>"pubmed"</code></p> <h3 id=methods>Methods<a class=headerlink href=#methods title="Anchor link to this section">&para;</a></h3> <h4 id=search><code>search</code><a class=headerlink href=#search title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a>    <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]</span>
-</span></code></pre></div> <p>Searches PubMed for articles.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p><strong>Returns</strong>: List of <code>Evidence</code> objects with PubMed articles.</p> <p><strong>Raises</strong>: - <code>SearchError</code>: If search fails (timeout, HTTP error, XML parsing error) - <code>RateLimitError</code>: If rate limit is exceeded (429 status code)</p> <p><strong>Note</strong>: Uses NCBI E-utilities (ESearch → EFetch). Rate limit: 0.34s between requests. Handles single vs. multiple articles.</p> <h2 id=clinicaltrialstool>ClinicalTrialsTool<a class=headerlink href=#clinicaltrialstool title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.tools.clinicaltrials</code></p> <p><strong>Purpose</strong>: Search ClinicalTrials.gov for interventional studies.</p> <h3 id=properties_1>Properties<a class=headerlink href=#properties_1 title="Anchor link to this section">&para;</a></h3> <h4 id=name_1><code>name</code><a class=headerlink href=#name_1 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a><span class=nd>@property</span>
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a><span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span>
-</span></code></pre></div> <p>Returns tool name: <code>"clinicaltrials"</code></p> <h3 id=methods_1>Methods<a class=headerlink href=#methods_1 title="Anchor link to this section">&para;</a></h3> <h4 id=search_1><code>search</code><a class=headerlink href=#search_1 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span>
-</span><span id=__span-4-2><a id=__codelineno-4-2 name=__codelineno-4-2 href=#__codelineno-4-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-4-3><a id=__codelineno-4-3 name=__codelineno-4-3 href=#__codelineno-4-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-4-4><a id=__codelineno-4-4 name=__codelineno-4-4 href=#__codelineno-4-4></a>    <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span>
-</span><span id=__span-4-5><a id=__codelineno-4-5 name=__codelineno-4-5 href=#__codelineno-4-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]</span>
-</span></code></pre></div> <p>Searches ClinicalTrials.gov for trials.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p><strong>Returns</strong>: List of <code>Evidence</code> objects with clinical trials.</p> <p><strong>Note</strong>: Only returns interventional studies with status: COMPLETED, ACTIVE_NOT_RECRUITING, RECRUITING, ENROLLING_BY_INVITATION. Uses <code>requests</code> library (NOT httpx - WAF blocks httpx). Runs in thread pool for async compatibility.</p> <p><strong>Raises</strong>: - <code>SearchError</code>: If search fails (HTTP error, request exception)</p> <h2 id=europepmctool>EuropePMCTool<a class=headerlink href=#europepmctool title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.tools.europepmc</code></p> <p><strong>Purpose</strong>: Search Europe PMC for preprints and peer-reviewed articles.</p> <h3 id=properties_2>Properties<a class=headerlink href=#properties_2 title="Anchor link to this section">&para;</a></h3> <h4 id=name_2><code>name</code><a class=headerlink href=#name_2 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a><span class=nd>@property</span>
-</span><span id=__span-5-2><a id=__codelineno-5-2 name=__codelineno-5-2 href=#__codelineno-5-2></a><span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span>
-</span></code></pre></div> <p>Returns tool name: <code>"europepmc"</code></p> <h3 id=methods_2>Methods<a class=headerlink href=#methods_2 title="Anchor link to this section">&para;</a></h3> <h4 id=search_2><code>search</code><a class=headerlink href=#search_2 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span>
-</span><span id=__span-6-2><a id=__codelineno-6-2 name=__codelineno-6-2 href=#__codelineno-6-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-6-3><a id=__codelineno-6-3 name=__codelineno-6-3 href=#__codelineno-6-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-6-4><a id=__codelineno-6-4 name=__codelineno-6-4 href=#__codelineno-6-4></a>    <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span>
-</span><span id=__span-6-5><a id=__codelineno-6-5 name=__codelineno-6-5 href=#__codelineno-6-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]</span>
-</span></code></pre></div> <p>Searches Europe PMC for articles and preprints.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p><strong>Returns</strong>: List of <code>Evidence</code> objects with articles/preprints.</p> <p><strong>Note</strong>: Includes both preprints (marked with <code>[PREPRINT - Not peer-reviewed]</code>) and peer-reviewed articles. Handles preprint markers. Builds URLs from DOI or PMID.</p> <p><strong>Raises</strong>: - <code>SearchError</code>: If search fails (HTTP error, connection error)</p> <h2 id=ragtool>RAGTool<a class=headerlink href=#ragtool title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.tools.rag_tool</code></p> <p><strong>Purpose</strong>: Semantic search within collected evidence.</p> <h3 id=initialization>Initialization<a class=headerlink href=#initialization title="Anchor link to this section">&para;</a></h3> <div class="language-python highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a><span class=k>def</span><span class=w> </span><span class=fm>__init__</span><span class=p>(</span>
-</span><span id=__span-7-2><a id=__codelineno-7-2 name=__codelineno-7-2 href=#__codelineno-7-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-7-3><a id=__codelineno-7-3 name=__codelineno-7-3 href=#__codelineno-7-3></a>    <span class=n>rag_service</span><span class=p>:</span> <span class=n>LlamaIndexRAGService</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span><span class=p>,</span>
-</span><span id=__span-7-4><a id=__codelineno-7-4 name=__codelineno-7-4 href=#__codelineno-7-4></a>    <span class=n>oauth_token</span><span class=p>:</span> <span class=nb>str</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span>
-</span><span id=__span-7-5><a id=__codelineno-7-5 name=__codelineno-7-5 href=#__codelineno-7-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=kc>None</span>
-</span></code></pre></div> <p><strong>Parameters</strong>: - <code>rag_service</code>: Optional RAG service instance. If None, will be lazy-initialized. - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p> <h3 id=properties_3>Properties<a class=headerlink href=#properties_3 title="Anchor link to this section">&para;</a></h3> <h4 id=name_3><code>name</code><a class=headerlink href=#name_3 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a><span class=nd>@property</span>
-</span><span id=__span-8-2><a id=__codelineno-8-2 name=__codelineno-8-2 href=#__codelineno-8-2></a><span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span>
-</span></code></pre></div> <p>Returns tool name: <code>"rag"</code></p> <h3 id=methods_3>Methods<a class=headerlink href=#methods_3 title="Anchor link to this section">&para;</a></h3> <h4 id=search_3><code>search</code><a class=headerlink href=#search_3 title="Anchor link to this section">&para;</a></h4> <div class="language-python highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span>
-</span><span id=__span-9-2><a id=__codelineno-9-2 name=__codelineno-9-2 href=#__codelineno-9-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-9-3><a id=__codelineno-9-3 name=__codelineno-9-3 href=#__codelineno-9-3></a>    <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span>
-</span><span id=__span-9-4><a id=__codelineno-9-4 name=__codelineno-9-4 href=#__codelineno-9-4></a>    <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span>
-</span><span id=__span-9-5><a id=__codelineno-9-5 name=__codelineno-9-5 href=#__codelineno-9-5></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]</span>
-</span></code></pre></div> <p>Searches collected evidence using semantic similarity.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p><strong>Returns</strong>: List of <code>Evidence</code> objects from collected evidence.</p> <p><strong>Raises</strong>: - <code>ConfigurationError</code>: If RAG service is unavailable</p> <p><strong>Note</strong>: Requires evidence to be ingested into RAG service first. Wraps <code>LlamaIndexRAGService</code>. Returns Evidence from RAG results.</p> <h2 id=searchhandler>SearchHandler<a class=headerlink href=#searchhandler title="Anchor link to this section">&para;</a></h2> <p><strong>Module</strong>: <code>src.tools.search_handler</code></p> <p><strong>Purpose</strong>: Orchestrates parallel searches across multiple tools.</p> <h3 id=initialization_1>Initialization<a class=headerlink href=#initialization_1 title="Anchor link to this section">&para;</a></h3> <div class="language-python highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a><span class=k>def</span><span class=w> </span><span class=fm>__init__</span><span class=p>(</span>
-</span><span id=__span-10-2><a id=__codelineno-10-2 name=__codelineno-10-2 href=#__codelineno-10-2></a>    <span class=bp>self</span><span class=p>,</span>
-</span><span id=__span-10-3><a id=__codelineno-10-3 name=__codelineno-10-3 href=#__codelineno-10-3></a>    <span class=n>tools</span><span class=p>:</span> <span class=nb>list</span><span class=p>[</span><span class=n>SearchTool</span><span class=p>],</span>
-</span><span id=__span-10-4><a id=__codelineno-10-4 name=__codelineno-10-4 href=#__codelineno-10-4></a>    <span class=n>timeout</span><span class=p>:</span> <span class=nb>float</span> <span class=o>=</span> <span class=mf>30.0</span><span class=p>,</span>
-</span><span id=__span-10-5><a id=__codelineno-10-5 name=__codelineno-10-5 href=#__codelineno-10-5></a>    <span class=n>include_rag</span><span class=p>:</span> <span class=nb>bool</span> <span class=o>=</span> <span class=kc>False</span><span class=p>,</span>
-</span><span id=__span-10-6><a id=__codelineno-10-6 name=__codelineno-10-6 href=#__codelineno-10-6></a>    <span class=n>auto_ingest_to_rag</span><span class=p>:</span> <span class=nb>bool</span> <span class=o>=</span> <span class=kc>True</span><span class=p>,</span>
-</span><span id=__span-10-7><a id=__codelineno-10-7 name=__codelineno-10-7 href=#__codelineno-10-7></a>    <span class=n>oauth_token</span><span class=p>:</span> <span class=nb>str</span> <span class=o>|</span> <span class=kc>None</span> <span class=o>=</span> <span class=kc>None</span>
-</span><span id=__span-10-8><a id=__codelineno-10-8 name=__codelineno-10-8 href=#__codelineno-10-8></a><span class=p>)</span> <span class=o>-&gt;</span> <span class=kc>None</span>
-</span></code></pre></div> <p><strong>Parameters</strong>: - <code>tools</code>: List of search tools to use - <code>timeout</code>: Timeout for each search in seconds (default: 30.0) - <code>include_rag</code>: Whether to include RAG tool in searches (default: False) - <code>auto_ingest_to_rag</code>: Whether to automatically ingest results into RAG (default: True) - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p> <h3 id=methods_4>Methods<a class=headerlink href=#methods_4 title="Anchor link to this section">&para;</a></h3> <h4 id=execute><code>execute</code><a class=headerlink href=#execute title="Anchor link to this section">&para;</a></h4> <p>Searches multiple tools in parallel.</p> <p><strong>Parameters</strong>: - <code>query</code>: Search query string - <code>max_results_per_tool</code>: Maximum results per tool (default: 10)</p> <p><strong>Returns</strong>: <code>SearchResult</code> with: - <code>query</code>: The search query - <code>evidence</code>: Aggregated list of evidence - <code>sources_searched</code>: List of source names searched - <code>total_found</code>: Total number of results - <code>errors</code>: List of error messages from failed tools</p> <p><strong>Raises</strong>: - <code>SearchError</code>: If search times out</p> <p><strong>Note</strong>: Uses <code>asyncio.gather()</code> for parallel execution. Handles tool failures gracefully (returns errors in <code>SearchResult.errors</code>). 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Pydantic AI Agents (Traditional Pattern) </span> </a> </li> <li class=md-nav__item> <a href=#2-magentic-agents-agent-framework-pattern class=md-nav__link> <span class=md-ellipsis> 2. Magentic Agents (Agent-Framework Pattern) </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#factory-functions class=md-nav__link> <span class=md-ellipsis> Factory Functions </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators </span> </a> </li> <li class=md-nav__item> <a href=../tools/ class=md-nav__link> <span class=md-ellipsis> Tools </span> </a> </li> <li class=md-nav__item> <a href=../middleware/ class=md-nav__link> <span class=md-ellipsis> Middleware </span> </a> </li> <li class=md-nav__item> <a href=../services/ class=md-nav__link> <span class=md-ellipsis> Services </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_6> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex=0> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=false> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=agents-architecture>Agents Architecture<a class=headerlink href=#agents-architecture title="Anchor link to this section">&para;</a></h1> <p>DeepCritical uses Pydantic AI agents for all AI-powered operations. All agents follow a consistent pattern and use structured output types.</p> <h2 id=agent-pattern>Agent Pattern<a class=headerlink href=#agent-pattern title="Anchor link to this section">&para;</a></h2> <h3 id=pydantic-ai-agents>Pydantic AI Agents<a class=headerlink href=#pydantic-ai-agents title="Anchor link to this section">&para;</a></h3> <p>Pydantic AI agents use the <code>Agent</code> class with the following structure:</p> <ul> <li><strong>System Prompt</strong>: Module-level constant with date injection</li> <li><strong>Agent Class</strong>: <code>__init__(model: Any | None = None)</code></li> <li><strong>Main Method</strong>: Async method (e.g., <code>async def evaluate()</code>, <code>async def write_report()</code>)</li> <li><strong>Factory Function</strong>: <code>def create_agent_name(model: Any | None = None, oauth_token: str | None = None) -&gt; AgentName</code></li> </ul> <p><strong>Note</strong>: Factory functions accept an optional <code>oauth_token</code> parameter for HuggingFace authentication, which takes priority over environment variables.</p> <h2 id=model-initialization>Model Initialization<a class=headerlink href=#model-initialization title="Anchor link to this section">&para;</a></h2> <p>Agents use <code>get_model()</code> from <code>src/agent_factory/judges.py</code> if no model is provided. This supports:</p> <ul> <li>OpenAI models</li> <li>Anthropic models</li> <li>HuggingFace Inference API models</li> </ul> <p>The model selection is based on the configured <code>LLM_PROVIDER</code> in settings.</p> <h2 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">&para;</a></h2> <p>Agents return fallback values on failure rather than raising exceptions:</p> <ul> <li><code>KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])</code></li> <li>Empty strings for text outputs</li> <li>Default structured outputs</li> </ul> <p>All errors are logged with context using structlog.</p> <h2 id=input-validation>Input Validation<a class=headerlink href=#input-validation title="Anchor link to this section">&para;</a></h2> <p>All agents validate inputs:</p> <ul> <li>Check that queries/inputs are not empty</li> <li>Truncate very long inputs with warnings</li> <li>Handle None values gracefully</li> </ul> <h2 id=output-types>Output Types<a class=headerlink href=#output-types title="Anchor link to this section">&para;</a></h2> <p>Agents use structured output types from <code>src/utils/models.py</code>:</p> <ul> <li><code>KnowledgeGapOutput</code>: Research completeness evaluation</li> <li><code>AgentSelectionPlan</code>: Tool selection plan</li> <li><code>ReportDraft</code>: Long-form report structure</li> <li><code>ParsedQuery</code>: Query parsing and mode detection</li> </ul> <p>For text output (writer agents), agents return <code>str</code> directly.</p> <h2 id=agent-types>Agent Types<a class=headerlink href=#agent-types title="Anchor link to this section">&para;</a></h2> <h3 id=knowledge-gap-agent>Knowledge Gap Agent<a class=headerlink href=#knowledge-gap-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/knowledge_gap.py</code></p> <p><strong>Purpose</strong>: Evaluates research state and identifies knowledge gaps.</p> <p><strong>Output</strong>: <code>KnowledgeGapOutput</code> with: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p> <p><strong>Methods</strong>: - <code>async def evaluate(query, background_context, conversation_history, iteration, time_elapsed_minutes, max_time_minutes) -&gt; KnowledgeGapOutput</code></p> <h3 id=tool-selector-agent>Tool Selector Agent<a class=headerlink href=#tool-selector-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/tool_selector.py</code></p> <p><strong>Purpose</strong>: Selects appropriate tools for addressing knowledge gaps.</p> <p><strong>Output</strong>: <code>AgentSelectionPlan</code> with list of <code>AgentTask</code> objects.</p> <p><strong>Available Agents</strong>: - <code>WebSearchAgent</code>: General web search for fresh information - <code>SiteCrawlerAgent</code>: Research specific entities/companies - <code>RAGAgent</code>: Semantic search within collected evidence</p> <h3 id=writer-agent>Writer Agent<a class=headerlink href=#writer-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/writer.py</code></p> <p><strong>Purpose</strong>: Generates final reports from research findings.</p> <p><strong>Output</strong>: Markdown string with numbered citations.</p> <p><strong>Methods</strong>: - <code>async def write_report(query, findings, output_length, output_instructions) -&gt; str</code></p> <p><strong>Features</strong>: - Validates inputs - Truncates very long findings (max 50000 chars) with warning - Retry logic for transient failures (3 retries) - Citation validation before returning</p> <h3 id=long-writer-agent>Long Writer Agent<a class=headerlink href=#long-writer-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/long_writer.py</code></p> <p><strong>Purpose</strong>: Long-form report generation with section-by-section writing.</p> <p><strong>Input/Output</strong>: Uses <code>ReportDraft</code> models.</p> <p><strong>Methods</strong>: - <code>async def write_next_section(query, draft, section_title, section_content) -&gt; LongWriterOutput</code> - <code>async def write_report(query, report_title, report_draft) -&gt; str</code></p> <p><strong>Features</strong>: - Writes sections iteratively - Aggregates references across sections - Reformats section headings and references - Deduplicates and renumbers references</p> <h3 id=proofreader-agent>Proofreader Agent<a class=headerlink href=#proofreader-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/proofreader.py</code></p> <p><strong>Purpose</strong>: Proofreads and polishes report drafts.</p> <p><strong>Input</strong>: <code>ReportDraft</code> <strong>Output</strong>: Polished markdown string</p> <p><strong>Methods</strong>: - <code>async def proofread(query, report_title, report_draft) -&gt; str</code></p> <p><strong>Features</strong>: - Removes duplicate content across sections - Adds executive summary if multiple sections - Preserves all references and citations - Improves flow and readability</p> <h3 id=thinking-agent>Thinking Agent<a class=headerlink href=#thinking-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/thinking.py</code></p> <p><strong>Purpose</strong>: Generates observations from conversation history.</p> <p><strong>Output</strong>: Observation string</p> <p><strong>Methods</strong>: - <code>async def generate_observations(query, background_context, conversation_history) -&gt; str</code></p> <h3 id=input-parser-agent>Input Parser Agent<a class=headerlink href=#input-parser-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/input_parser.py</code></p> <p><strong>Purpose</strong>: Parses and improves user queries, detects research mode.</p> <p><strong>Output</strong>: <code>ParsedQuery</code> with: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: "iterative" or "deep" - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p> <h2 id=magentic-agents>Magentic Agents<a class=headerlink href=#magentic-agents title="Anchor link to this section">&para;</a></h2> <p>The following agents use the <code>BaseAgent</code> pattern from <code>agent-framework</code> and are used exclusively with <code>MagenticOrchestrator</code>:</p> <h3 id=hypothesis-agent>Hypothesis Agent<a class=headerlink href=#hypothesis-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/hypothesis_agent.py</code></p> <p><strong>Purpose</strong>: Generates mechanistic hypotheses based on evidence.</p> <p><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code></p> <p><strong>Methods</strong>: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p><strong>Features</strong>: - Uses internal Pydantic AI <code>Agent</code> with <code>HypothesisAssessment</code> output type - Accesses shared <code>evidence_store</code> for evidence - Uses embedding service for diverse evidence selection (MMR algorithm) - Stores hypotheses in shared context</p> <h3 id=search-agent>Search Agent<a class=headerlink href=#search-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/search_agent.py</code></p> <p><strong>Purpose</strong>: Wraps <code>SearchHandler</code> as an agent for Magentic orchestrator.</p> <p><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code></p> <p><strong>Methods</strong>: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p><strong>Features</strong>: - Executes searches via <code>SearchHandlerProtocol</code> - Deduplicates evidence using embedding service - Searches for semantically related evidence - Updates shared evidence store</p> <h3 id=analysis-agent>Analysis Agent<a class=headerlink href=#analysis-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/analysis_agent.py</code></p> <p><strong>Purpose</strong>: Performs statistical analysis using Modal sandbox.</p> <p><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code></p> <p><strong>Methods</strong>: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p><strong>Features</strong>: - Wraps <code>StatisticalAnalyzer</code> service - Analyzes evidence and hypotheses - Returns verdict (SUPPORTED/REFUTED/INCONCLUSIVE) - Stores analysis results in shared context</p> <h3 id=report-agent-magentic>Report Agent (Magentic)<a class=headerlink href=#report-agent-magentic title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/report_agent.py</code></p> <p><strong>Purpose</strong>: Generates structured scientific reports from evidence and hypotheses.</p> <p><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code></p> <p><strong>Methods</strong>: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p><strong>Features</strong>: - Uses internal Pydantic AI <code>Agent</code> with <code>ResearchReport</code> output type - Accesses shared evidence store and hypotheses - Validates citations before returning - Formats report as markdown</p> <h3 id=judge-agent>Judge Agent<a class=headerlink href=#judge-agent title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/agents/judge_agent.py</code></p> <p><strong>Purpose</strong>: Evaluates evidence quality and determines if sufficient for synthesis.</p> <p><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code></p> <p><strong>Methods</strong>: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code> - <code>async def run_stream(messages, thread, **kwargs) -&gt; AsyncIterable[AgentRunResponseUpdate]</code></p> <p><strong>Features</strong>: - Wraps <code>JudgeHandlerProtocol</code> - Accesses shared evidence store - Returns <code>JudgeAssessment</code> with sufficient flag, confidence, and recommendation</p> <h2 id=agent-patterns>Agent Patterns<a class=headerlink href=#agent-patterns title="Anchor link to this section">&para;</a></h2> <p>DeepCritical uses two distinct agent patterns:</p> <h3 id=1-pydantic-ai-agents-traditional-pattern>1. Pydantic AI Agents (Traditional Pattern)<a class=headerlink href=#1-pydantic-ai-agents-traditional-pattern title="Anchor link to this section">&para;</a></h3> <p>These agents use the Pydantic AI <code>Agent</code> class directly and are used in iterative and deep research flows:</p> <ul> <li><strong>Pattern</strong>: <code>Agent(model, output_type, system_prompt)</code></li> <li><strong>Initialization</strong>: <code>__init__(model: Any | None = None)</code></li> <li><strong>Methods</strong>: Agent-specific async methods (e.g., <code>async def evaluate()</code>, <code>async def write_report()</code>)</li> <li><strong>Examples</strong>: <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>WriterAgent</code>, <code>LongWriterAgent</code>, <code>ProofreaderAgent</code>, <code>ThinkingAgent</code>, <code>InputParserAgent</code></li> </ul> <h3 id=2-magentic-agents-agent-framework-pattern>2. Magentic Agents (Agent-Framework Pattern)<a class=headerlink href=#2-magentic-agents-agent-framework-pattern title="Anchor link to this section">&para;</a></h3> <p>These agents use the <code>BaseAgent</code> class from <code>agent-framework</code> and are used in Magentic orchestrator:</p> <ul> <li><strong>Pattern</strong>: <code>BaseAgent</code> from <code>agent-framework</code> with <code>async def run()</code> method</li> <li><strong>Initialization</strong>: <code>__init__(evidence_store, embedding_service, ...)</code></li> <li><strong>Methods</strong>: <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></li> <li><strong>Examples</strong>: <code>HypothesisAgent</code>, <code>SearchAgent</code>, <code>AnalysisAgent</code>, <code>ReportAgent</code>, <code>JudgeAgent</code></li> </ul> <p><strong>Note</strong>: Magentic agents are used exclusively with the <code>MagenticOrchestrator</code> and follow the agent-framework protocol for multi-agent coordination.</p> <h2 id=factory-functions>Factory Functions<a class=headerlink href=#factory-functions title="Anchor link to this section">&para;</a></h2> <p>All agents have factory functions in <code>src/agent_factory/agents.py</code>:</p> <p>Factory functions: - 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<a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=graph-orchestration-architecture>Graph Orchestration Architecture<a class=headerlink href=#graph-orchestration-architecture title="Anchor link to this section">¶</a></h1> <h2 id=overview>Overview<a class=headerlink href=#overview title="Anchor link to this section">¶</a></h2> <p>DeepCritical implements a graph-based orchestration system for research workflows using Pydantic AI agents as nodes. This enables better parallel execution, conditional routing, and state management compared to simple agent chains.</p> <h2 id=graph-patterns>Graph Patterns<a class=headerlink href=#graph-patterns title="Anchor link to this section">¶</a></h2> <h3 id=iterative-research-graph>Iterative Research Graph<a class=headerlink href=#iterative-research-graph title="Anchor link to this section">¶</a></h3> <p>The iterative research graph follows this pattern:</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a href=#__codelineno-0-1 id=__codelineno-0-1 name=__codelineno-0-1></a>[Input] → [Thinking] → [Knowledge Gap] → [Decision: Complete?]
-</span><span id=__span-0-2><a href=#__codelineno-0-2 id=__codelineno-0-2 name=__codelineno-0-2></a>                                              ↓ No          ↓ Yes
-</span><span id=__span-0-3><a href=#__codelineno-0-3 id=__codelineno-0-3 name=__codelineno-0-3></a>                                    [Tool Selector]    [Writer]
-</span><span id=__span-0-4><a href=#__codelineno-0-4 id=__codelineno-0-4 name=__codelineno-0-4></a>                                              ↓
-</span><span id=__span-0-5><a href=#__codelineno-0-5 id=__codelineno-0-5 name=__codelineno-0-5></a>                                    [Execute Tools] → [Loop Back]
-</span></code></pre></div> <p><strong>Node IDs</strong>: <code>thinking</code> → <code>knowledge_gap</code> → <code>continue_decision</code> → <code>tool_selector</code>/<code>writer</code> → <code>execute_tools</code> → (loop back to <code>thinking</code>)</p> <p><strong>Special Node Handling</strong>: - <code>execute_tools</code>: State node that uses <code>search_handler</code> to execute searches and add evidence to workflow state - <code>continue_decision</code>: Decision node that routes based on <code>research_complete</code> flag from <code>KnowledgeGapOutput</code></p> <h3 id=deep-research-graph>Deep Research Graph<a class=headerlink href=#deep-research-graph title="Anchor link to this section">¶</a></h3> <p>The deep research graph follows this pattern:</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-1-1><a href=#__codelineno-1-1 id=__codelineno-1-1 name=__codelineno-1-1></a>[Input] → [Planner] → [Store Plan] → [Parallel Loops] → [Collect Drafts] → [Synthesizer]
-</span><span id=__span-1-2><a href=#__codelineno-1-2 id=__codelineno-1-2 name=__codelineno-1-2></a>                                        ↓         ↓         ↓
-</span><span id=__span-1-3><a href=#__codelineno-1-3 id=__codelineno-1-3 name=__codelineno-1-3></a>                                     [Loop1]  [Loop2]  [Loop3]
-</span></code></pre></div> <p><strong>Node IDs</strong>: <code>planner</code> → <code>store_plan</code> → <code>parallel_loops</code> → <code>collect_drafts</code> → <code>synthesizer</code></p> <p><strong>Special Node Handling</strong>: - <code>planner</code>: Agent node that creates <code>ReportPlan</code> with report outline - <code>store_plan</code>: State node that stores <code>ReportPlan</code> in context for parallel loops - <code>parallel_loops</code>: Parallel node that executes <code>IterativeResearchFlow</code> instances for each section - <code>collect_drafts</code>: State node that collects section drafts from parallel loops - <code>synthesizer</code>: Agent node that calls <code>LongWriterAgent.write_report()</code> directly with <code>ReportDraft</code></p> <h3 id=deep-research>Deep Research<a class=headerlink href=#deep-research title="Anchor link to this section">¶</a></h3> <pre class=mermaid><code>
-sequenceDiagram
-    actor User
-    participant GraphOrchestrator
-    participant InputParser
-    participant GraphBuilder
-    participant GraphExecutor
-    participant Agent
-    participant BudgetTracker
-    participant WorkflowState
-
-    User-&gt;&gt;GraphOrchestrator: run(query)
-    GraphOrchestrator-&gt;&gt;InputParser: detect_research_mode(query)
-    InputParser--&gt;&gt;GraphOrchestrator: mode (iterative/deep)
-    GraphOrchestrator-&gt;&gt;GraphBuilder: build_graph(mode)
-    GraphBuilder--&gt;&gt;GraphOrchestrator: ResearchGraph
-    GraphOrchestrator-&gt;&gt;WorkflowState: init_workflow_state()
-    GraphOrchestrator-&gt;&gt;BudgetTracker: create_budget()
-    GraphOrchestrator-&gt;&gt;GraphExecutor: _execute_graph(graph)
-    
-    loop For each node in graph
-        GraphExecutor-&gt;&gt;Agent: execute_node(agent_node)
-        Agent-&gt;&gt;Agent: process_input
-        Agent--&gt;&gt;GraphExecutor: result
-        GraphExecutor-&gt;&gt;WorkflowState: update_state(result)
-        GraphExecutor-&gt;&gt;BudgetTracker: add_tokens(used)
-        GraphExecutor-&gt;&gt;BudgetTracker: check_budget()
-        alt Budget exceeded
-            GraphExecutor-&gt;&gt;GraphOrchestrator: emit(error_event)
-        else Continue
-            GraphExecutor-&gt;&gt;GraphOrchestrator: emit(progress_event)
-        end
-    end
-    
-    GraphOrchestrator-&gt;&gt;User: AsyncGenerator[AgentEvent]
-</code></pre> <h3 id=iterative-research>Iterative Research<a class=headerlink href=#iterative-research title="Anchor link to this section">¶</a></h3> <pre class=mermaid><code>sequenceDiagram
-    participant IterativeFlow
-    participant ThinkingAgent
-    participant KnowledgeGapAgent
-    participant ToolSelector
-    participant ToolExecutor
-    participant JudgeHandler
-    participant WriterAgent
-
-    IterativeFlow-&gt;&gt;IterativeFlow: run(query)
-    
-    loop Until complete or max_iterations
-        IterativeFlow-&gt;&gt;ThinkingAgent: generate_observations()
-        ThinkingAgent--&gt;&gt;IterativeFlow: observations
-        
-        IterativeFlow-&gt;&gt;KnowledgeGapAgent: evaluate_gaps()
-        KnowledgeGapAgent--&gt;&gt;IterativeFlow: KnowledgeGapOutput
-        
-        alt Research complete
-            IterativeFlow-&gt;&gt;WriterAgent: create_final_report()
-            WriterAgent--&gt;&gt;IterativeFlow: final_report
-        else Gaps remain
-            IterativeFlow-&gt;&gt;ToolSelector: select_agents(gap)
-            ToolSelector--&gt;&gt;IterativeFlow: AgentSelectionPlan
-            
-            IterativeFlow-&gt;&gt;ToolExecutor: execute_tool_tasks()
-            ToolExecutor--&gt;&gt;IterativeFlow: ToolAgentOutput[]
-            
-            IterativeFlow-&gt;&gt;JudgeHandler: assess_evidence()
-            JudgeHandler--&gt;&gt;IterativeFlow: should_continue
-        end
-    end</code></pre> <h2 id=graph-structure>Graph Structure<a class=headerlink href=#graph-structure title="Anchor link to this section">¶</a></h2> <h3 id=nodes>Nodes<a class=headerlink href=#nodes title="Anchor link to this section">¶</a></h3> <p>Graph nodes represent different stages in the research workflow:</p> <ol> <li><strong>Agent Nodes</strong>: Execute Pydantic AI agents</li> <li>Input: Prompt/query</li> <li>Output: Structured or unstructured response</li> <li> <p>Examples: <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>ThinkingAgent</code></p> </li> <li> <p><strong>State Nodes</strong>: Update or read workflow state</p> </li> <li>Input: Current state</li> <li>Output: Updated state</li> <li> <p>Examples: Update evidence, update conversation history</p> </li> <li> <p><strong>Decision Nodes</strong>: Make routing decisions based on conditions</p> </li> <li>Input: Current state/results</li> <li>Output: Next node ID</li> <li> <p>Examples: Continue research vs. complete research</p> </li> <li> <p><strong>Parallel Nodes</strong>: Execute multiple nodes concurrently</p> </li> <li>Input: List of node IDs</li> <li>Output: Aggregated results</li> <li>Examples: Parallel iterative research loops</li> </ol> <h3 id=edges>Edges<a class=headerlink href=#edges title="Anchor link to this section">¶</a></h3> <p>Edges define transitions between nodes:</p> <ol> <li><strong>Sequential Edges</strong>: Always traversed (no condition)</li> <li>From: Source node</li> <li>To: Target node</li> <li> <p>Condition: None (always True)</p> </li> <li> <p><strong>Conditional Edges</strong>: Traversed based on condition</p> </li> <li>From: Source node</li> <li>To: Target node</li> <li>Condition: Callable that returns bool</li> <li> <p>Example: If research complete → go to writer, else → continue loop</p> </li> <li> <p><strong>Parallel Edges</strong>: Used for parallel execution branches</p> </li> <li>From: Parallel node</li> <li>To: Multiple target nodes</li> <li>Execution: All targets run concurrently</li> </ol> <h2 id=state-management>State Management<a class=headerlink href=#state-management title="Anchor link to this section">¶</a></h2> <p>State is managed via <code>WorkflowState</code> using <code>ContextVar</code> for thread-safe isolation:</p> <ul> <li><strong>Evidence</strong>: Collected evidence from searches</li> <li><strong>Conversation</strong>: Iteration history (gaps, tool calls, findings, thoughts)</li> <li><strong>Embedding Service</strong>: For semantic search</li> </ul> <p>State transitions occur at state nodes, which update the global workflow state.</p> <h2 id=execution-flow>Execution Flow<a class=headerlink href=#execution-flow title="Anchor link to this section">¶</a></h2> <ol> <li><strong>Graph Construction</strong>: Build graph from nodes and edges using <code>create_iterative_graph()</code> or <code>create_deep_graph()</code></li> <li><strong>Graph Validation</strong>: Ensure graph is valid (no cycles, all nodes reachable) via <code>ResearchGraph.validate_structure()</code></li> <li><strong>Graph Execution</strong>: Traverse graph from entry node using <code>GraphOrchestrator._execute_graph()</code></li> <li><strong>Node Execution</strong>: Execute each node based on type:</li> <li><strong>Agent Nodes</strong>: Call <code>agent.run()</code> with transformed input</li> <li><strong>State Nodes</strong>: Update workflow state via <code>state_updater</code> function</li> <li><strong>Decision Nodes</strong>: Evaluate <code>decision_function</code> to get next node ID</li> <li><strong>Parallel Nodes</strong>: Execute all parallel nodes concurrently via <code>asyncio.gather()</code></li> <li><strong>Edge Evaluation</strong>: Determine next node(s) based on edges and conditions</li> <li><strong>Parallel Execution</strong>: Use <code>asyncio.gather()</code> for parallel nodes</li> <li><strong>State Updates</strong>: Update state at state nodes via <code>GraphExecutionContext.update_state()</code></li> <li><strong>Event Streaming</strong>: Yield <code>AgentEvent</code> objects during execution for UI</li> </ol> <h3 id=graphexecutioncontext>GraphExecutionContext<a class=headerlink href=#graphexecutioncontext title="Anchor link to this section">¶</a></h3> <p>The <code>GraphExecutionContext</code> class manages execution state during graph traversal:</p> <ul> <li><strong>State</strong>: Current <code>WorkflowState</code> instance</li> <li><strong>Budget Tracker</strong>: <code>BudgetTracker</code> instance for budget enforcement</li> <li><strong>Node Results</strong>: Dictionary storing results from each node execution</li> <li><strong>Visited Nodes</strong>: Set of node IDs that have been executed</li> <li><strong>Current Node</strong>: ID of the node currently being executed</li> </ul> <p>Methods: - <code>set_node_result(node_id, result)</code>: Store result from node execution - <code>get_node_result(node_id)</code>: Retrieve stored result - <code>has_visited(node_id)</code>: Check if node was visited - <code>mark_visited(node_id)</code>: Mark node as visited - <code>update_state(updater, data)</code>: Update workflow state</p> <h2 id=conditional-routing>Conditional Routing<a class=headerlink href=#conditional-routing title="Anchor link to this section">¶</a></h2> <p>Decision nodes evaluate conditions and return next node IDs:</p> <ul> <li><strong>Knowledge Gap Decision</strong>: If <code>research_complete</code> → writer, else → tool selector</li> <li><strong>Budget Decision</strong>: If budget exceeded → exit, else → continue</li> <li><strong>Iteration Decision</strong>: If max iterations → exit, else → continue</li> </ul> <h2 id=parallel-execution>Parallel Execution<a class=headerlink href=#parallel-execution title="Anchor link to this section">¶</a></h2> <p>Parallel nodes execute multiple nodes concurrently:</p> <ul> <li>Each parallel branch runs independently</li> <li>Results are aggregated after all branches complete</li> <li>State is synchronized after parallel execution</li> <li>Errors in one branch don't stop other branches</li> </ul> <h2 id=budget-enforcement>Budget Enforcement<a class=headerlink href=#budget-enforcement title="Anchor link to this section">¶</a></h2> <p>Budget constraints are enforced at decision nodes:</p> <ul> <li><strong>Token Budget</strong>: Track LLM token usage</li> <li><strong>Time Budget</strong>: Track elapsed time</li> <li><strong>Iteration Budget</strong>: Track iteration count</li> </ul> <p>If any budget is exceeded, execution routes to exit node.</p> <h2 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">¶</a></h2> <p>Errors are handled at multiple levels:</p> <ol> <li><strong>Node Level</strong>: Catch errors in individual node execution</li> <li><strong>Graph Level</strong>: Handle errors during graph traversal</li> <li><strong>State Level</strong>: Rollback state changes on error</li> </ol> <p>Errors are logged and yield error events for UI.</p> <h2 id=backward-compatibility>Backward Compatibility<a class=headerlink href=#backward-compatibility title="Anchor link to this section">¶</a></h2> <p>Graph execution is optional via feature flag:</p> <ul> <li><code>USE_GRAPH_EXECUTION=true</code>: Use graph-based execution</li> <li><code>USE_GRAPH_EXECUTION=false</code>: Use agent chain execution (existing)</li> </ul> <p>This allows gradual migration and fallback if needed.</p> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">¶</a></h2> <ul> <li><a href=../orchestrators/ >Orchestrators</a> - 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Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=middleware-architecture>Middleware Architecture<a class=headerlink href=#middleware-architecture title="Anchor link to this section">&para;</a></h1> <p>DeepCritical uses middleware for state management, budget tracking, and workflow coordination.</p> <h2 id=state-management>State Management<a class=headerlink href=#state-management title="Anchor link to this section">&para;</a></h2> <h3 id=workflowstate>WorkflowState<a class=headerlink href=#workflowstate title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/middleware/state_machine.py</code></p> <p><strong>Purpose</strong>: Thread-safe state management for research workflows</p> <p><strong>Implementation</strong>: Uses <code>ContextVar</code> for thread-safe isolation</p> <p><strong>State Components</strong>: - <code>evidence: list[Evidence]</code>: Collected evidence from searches - <code>conversation: Conversation</code>: Iteration history (gaps, tool calls, findings, thoughts) - <code>embedding_service: Any</code>: Embedding service for semantic search</p> <p><strong>Methods</strong>: - <code>add_evidence(new_evidence: list[Evidence]) -&gt; int</code>: Adds evidence with URL-based deduplication. Returns the number of new items added (excluding duplicates). - <code>async search_related(query: str, n_results: int = 5) -&gt; list[Evidence]</code>: Semantic search for related evidence using embedding service</p> <p><strong>Initialization</strong>:</p> <p><strong>Access</strong>:</p> <h2 id=workflow-manager>Workflow Manager<a class=headerlink href=#workflow-manager title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/middleware/workflow_manager.py</code></p> <p><strong>Purpose</strong>: Coordinates parallel research loops</p> <p><strong>Methods</strong>: - <code>async add_loop(loop_id: str, query: str) -&gt; ResearchLoop</code>: Add a new research loop to manage - <code>async run_loops_parallel(loop_configs: list[dict], loop_func: Callable, judge_handler: Any | None = None, budget_tracker: Any | None = None) -&gt; list[Any]</code>: Run multiple research loops in parallel. Takes configuration dicts and a loop function. - <code>async update_loop_status(loop_id: str, status: LoopStatus, error: str | None = None)</code>: Update loop status - <code>async sync_loop_evidence_to_state(loop_id: str)</code>: Synchronize evidence from a specific loop to global state</p> <p><strong>Features</strong>: - Uses <code>asyncio.gather()</code> for parallel execution - Handles errors per loop (doesn't fail all if one fails) - Tracks loop status: <code>pending</code>, <code>running</code>, <code>completed</code>, <code>failed</code>, <code>cancelled</code> - Evidence deduplication across parallel loops</p> <p><strong>Usage</strong>: <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.middleware.workflow_manager</span><span class=w> </span><span class=kn>import</span> <span class=n>WorkflowManager</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=n>manager</span> <span class=o>=</span> <span class=n>WorkflowManager</span><span class=p>()</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=k>await</span> <span class=n>manager</span><span class=o>.</span><span class=n>add_loop</span><span class=p>(</span><span class=s2>&quot;loop1&quot;</span><span class=p>,</span> <span class=s2>&quot;Research query 1&quot;</span><span class=p>)</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=k>await</span> <span class=n>manager</span><span class=o>.</span><span class=n>add_loop</span><span class=p>(</span><span class=s2>&quot;loop2&quot;</span><span class=p>,</span> <span class=s2>&quot;Research query 2&quot;</span><span class=p>)</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>run_research</span><span class=p>(</span><span class=n>config</span><span class=p>:</span> <span class=nb>dict</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span><span class=p>:</span>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a>    <span class=n>loop_id</span> <span class=o>=</span> <span class=n>config</span><span class=p>[</span><span class=s2>&quot;loop_id&quot;</span><span class=p>]</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a>    <span class=n>query</span> <span class=o>=</span> <span class=n>config</span><span class=p>[</span><span class=s2>&quot;query&quot;</span><span class=p>]</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a>    <span class=c1># ... research logic ...</span>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a>    <span class=k>return</span> <span class=s2>&quot;report&quot;</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>
-</span><span id=__span-0-13><a id=__codelineno-0-13 name=__codelineno-0-13 href=#__codelineno-0-13></a><span class=n>results</span> <span class=o>=</span> <span class=k>await</span> <span class=n>manager</span><span class=o>.</span><span class=n>run_loops_parallel</span><span class=p>(</span>
-</span><span id=__span-0-14><a id=__codelineno-0-14 name=__codelineno-0-14 href=#__codelineno-0-14></a>    <span class=n>loop_configs</span><span class=o>=</span><span class=p>[</span>
-</span><span id=__span-0-15><a id=__codelineno-0-15 name=__codelineno-0-15 href=#__codelineno-0-15></a>        <span class=p>{</span><span class=s2>&quot;loop_id&quot;</span><span class=p>:</span> <span class=s2>&quot;loop1&quot;</span><span class=p>,</span> <span class=s2>&quot;query&quot;</span><span class=p>:</span> <span class=s2>&quot;Research query 1&quot;</span><span class=p>},</span>
-</span><span id=__span-0-16><a id=__codelineno-0-16 name=__codelineno-0-16 href=#__codelineno-0-16></a>        <span class=p>{</span><span class=s2>&quot;loop_id&quot;</span><span class=p>:</span> <span class=s2>&quot;loop2&quot;</span><span class=p>,</span> <span class=s2>&quot;query&quot;</span><span class=p>:</span> <span class=s2>&quot;Research query 2&quot;</span><span class=p>},</span>
-</span><span id=__span-0-17><a id=__codelineno-0-17 name=__codelineno-0-17 href=#__codelineno-0-17></a>    <span class=p>],</span>
-</span><span id=__span-0-18><a id=__codelineno-0-18 name=__codelineno-0-18 href=#__codelineno-0-18></a>    <span class=n>loop_func</span><span class=o>=</span><span class=n>run_research</span><span class=p>,</span>
-</span><span id=__span-0-19><a id=__codelineno-0-19 name=__codelineno-0-19 href=#__codelineno-0-19></a><span class=p>)</span>
-</span></code></pre></div></p> <h2 id=budget-tracker>Budget Tracker<a class=headerlink href=#budget-tracker title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/middleware/budget_tracker.py</code></p> <p><strong>Purpose</strong>: Tracks and enforces resource limits</p> <p><strong>Budget Components</strong>: - <strong>Tokens</strong>: LLM token usage - <strong>Time</strong>: Elapsed time in seconds - <strong>Iterations</strong>: Number of iterations</p> <p><strong>Methods</strong>: - <code>create_budget(loop_id: str, tokens_limit: int = 100000, time_limit_seconds: float = 600.0, iterations_limit: int = 10) -&gt; BudgetStatus</code>: Create a budget for a specific loop - <code>add_tokens(loop_id: str, tokens: int)</code>: Add token usage to a loop's budget - <code>start_timer(loop_id: str)</code>: Start time tracking for a loop - <code>update_timer(loop_id: str)</code>: Update elapsed time for a loop - <code>increment_iteration(loop_id: str)</code>: Increment iteration count for a loop - <code>check_budget(loop_id: str) -&gt; tuple[bool, str]</code>: Check if a loop's budget has been exceeded. Returns (exceeded: bool, reason: str) - <code>can_continue(loop_id: str) -&gt; bool</code>: Check if a loop can continue based on budget</p> <p><strong>Token Estimation</strong>: - <code>estimate_tokens(text: str) -&gt; int</code>: ~4 chars per token - <code>estimate_llm_call_tokens(prompt: str, response: str) -&gt; int</code>: Estimate LLM call tokens</p> <p><strong>Usage</strong>: <div class="language-python highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.middleware.budget_tracker</span><span class=w> </span><span class=kn>import</span> <span class=n>BudgetTracker</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a>
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a><span class=n>tracker</span> <span class=o>=</span> <span class=n>BudgetTracker</span><span class=p>()</span>
-</span><span id=__span-1-4><a id=__codelineno-1-4 name=__codelineno-1-4 href=#__codelineno-1-4></a><span class=n>budget</span> <span class=o>=</span> <span class=n>tracker</span><span class=o>.</span><span class=n>create_budget</span><span class=p>(</span>
-</span><span id=__span-1-5><a id=__codelineno-1-5 name=__codelineno-1-5 href=#__codelineno-1-5></a>    <span class=n>loop_id</span><span class=o>=</span><span class=s2>&quot;research_loop&quot;</span><span class=p>,</span>
-</span><span id=__span-1-6><a id=__codelineno-1-6 name=__codelineno-1-6 href=#__codelineno-1-6></a>    <span class=n>tokens_limit</span><span class=o>=</span><span class=mi>100000</span><span class=p>,</span>
-</span><span id=__span-1-7><a id=__codelineno-1-7 name=__codelineno-1-7 href=#__codelineno-1-7></a>    <span class=n>time_limit_seconds</span><span class=o>=</span><span class=mi>600</span><span class=p>,</span>
-</span><span id=__span-1-8><a id=__codelineno-1-8 name=__codelineno-1-8 href=#__codelineno-1-8></a>    <span class=n>iterations_limit</span><span class=o>=</span><span class=mi>10</span>
-</span><span id=__span-1-9><a id=__codelineno-1-9 name=__codelineno-1-9 href=#__codelineno-1-9></a><span class=p>)</span>
-</span><span id=__span-1-10><a id=__codelineno-1-10 name=__codelineno-1-10 href=#__codelineno-1-10></a><span class=n>tracker</span><span class=o>.</span><span class=n>start_timer</span><span class=p>(</span><span class=s2>&quot;research_loop&quot;</span><span class=p>)</span>
-</span><span id=__span-1-11><a id=__codelineno-1-11 name=__codelineno-1-11 href=#__codelineno-1-11></a><span class=c1># ... research operations ...</span>
-</span><span id=__span-1-12><a id=__codelineno-1-12 name=__codelineno-1-12 href=#__codelineno-1-12></a><span class=n>tracker</span><span class=o>.</span><span class=n>add_tokens</span><span class=p>(</span><span class=s2>&quot;research_loop&quot;</span><span class=p>,</span> <span class=mi>5000</span><span class=p>)</span>
-</span><span id=__span-1-13><a id=__codelineno-1-13 name=__codelineno-1-13 href=#__codelineno-1-13></a><span class=n>tracker</span><span class=o>.</span><span class=n>update_timer</span><span class=p>(</span><span class=s2>&quot;research_loop&quot;</span><span class=p>)</span>
-</span><span id=__span-1-14><a id=__codelineno-1-14 name=__codelineno-1-14 href=#__codelineno-1-14></a><span class=n>exceeded</span><span class=p>,</span> <span class=n>reason</span> <span class=o>=</span> <span class=n>tracker</span><span class=o>.</span><span class=n>check_budget</span><span class=p>(</span><span class=s2>&quot;research_loop&quot;</span><span class=p>)</span>
-</span><span id=__span-1-15><a id=__codelineno-1-15 name=__codelineno-1-15 href=#__codelineno-1-15></a><span class=k>if</span> <span class=n>exceeded</span><span class=p>:</span>
-</span><span id=__span-1-16><a id=__codelineno-1-16 name=__codelineno-1-16 href=#__codelineno-1-16></a>    <span class=c1># Budget exceeded, stop research</span>
-</span><span id=__span-1-17><a id=__codelineno-1-17 name=__codelineno-1-17 href=#__codelineno-1-17></a>    <span class=k>pass</span>
-</span><span id=__span-1-18><a id=__codelineno-1-18 name=__codelineno-1-18 href=#__codelineno-1-18></a><span class=k>if</span> <span class=ow>not</span> <span class=n>tracker</span><span class=o>.</span><span class=n>can_continue</span><span class=p>(</span><span class=s2>&quot;research_loop&quot;</span><span class=p>):</span>
-</span><span id=__span-1-19><a id=__codelineno-1-19 name=__codelineno-1-19 href=#__codelineno-1-19></a>    <span class=c1># Budget exceeded, stop research</span>
-</span><span id=__span-1-20><a id=__codelineno-1-20 name=__codelineno-1-20 href=#__codelineno-1-20></a>    <span class=k>pass</span>
-</span></code></pre></div></p> <h2 id=models>Models<a class=headerlink href=#models title="Anchor link to this section">&para;</a></h2> <p>All middleware models are defined in <code>src/utils/models.py</code>:</p> <ul> <li><code>IterationData</code>: Data for a single iteration</li> <li><code>Conversation</code>: Conversation history with iterations</li> <li><code>ResearchLoop</code>: Research loop state and configuration</li> <li><code>BudgetStatus</code>: Current budget status</li> </ul> <h2 id=thread-safety>Thread Safety<a class=headerlink href=#thread-safety title="Anchor link to this section">&para;</a></h2> <p>All middleware components use <code>ContextVar</code> for thread-safe isolation:</p> <ul> <li>Each request/thread has its own workflow state</li> <li>No global mutable state</li> <li>Safe for concurrent requests</li> </ul> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../orchestrators/ >Orchestrators</a> - 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data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=false> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Configuration </label> <ul class=md-nav__list data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <label class=md-nav__link for=__nav_5 id=__nav_5_label tabindex> <span class=md-ellipsis> Architecture </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Architecture </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../graph_orchestration/ class=md-nav__link> <span class=md-ellipsis> Graph Orchestration </span> </a> </li> <li class=md-nav__item> <a href=../workflow-diagrams/ class=md-nav__link> <span class=md-ellipsis> Workflow Diagrams </span> </a> </li> <li class=md-nav__item> <a href=../agents/ class=md-nav__link> <span class=md-ellipsis> Agents </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Orchestrators </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Orchestrators </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#research-flows class=md-nav__link> <span class=md-ellipsis> Research Flows </span> </a> <nav class=md-nav aria-label="Research Flows"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#iterativeresearchflow class=md-nav__link> <span class=md-ellipsis> IterativeResearchFlow </span> </a> </li> <li class=md-nav__item> <a href=#deepresearchflow class=md-nav__link> <span class=md-ellipsis> DeepResearchFlow </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#graph-orchestrator class=md-nav__link> <span class=md-ellipsis> Graph Orchestrator </span> </a> </li> <li class=md-nav__item> <a href=#orchestrator-factory class=md-nav__link> <span class=md-ellipsis> Orchestrator Factory </span> </a> </li> <li class=md-nav__item> <a href=#magentic-orchestrator class=md-nav__link> <span class=md-ellipsis> Magentic Orchestrator </span> </a> </li> <li class=md-nav__item> <a href=#hierarchical-orchestrator class=md-nav__link> <span class=md-ellipsis> Hierarchical Orchestrator </span> </a> </li> <li class=md-nav__item> <a href=#legacy-simple-mode class=md-nav__link> <span class=md-ellipsis> Legacy Simple Mode </span> 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class="md-content__inner md-typeset"> <h1 id=orchestrators-architecture>Orchestrators Architecture<a class=headerlink href=#orchestrators-architecture title="Anchor link to this section">&para;</a></h1> <p>DeepCritical supports multiple orchestration patterns for research workflows.</p> <h2 id=research-flows>Research Flows<a class=headerlink href=#research-flows title="Anchor link to this section">&para;</a></h2> <h3 id=iterativeresearchflow>IterativeResearchFlow<a class=headerlink href=#iterativeresearchflow title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/orchestrator/research_flow.py</code></p> <p><strong>Pattern</strong>: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete</p> <p><strong>Agents Used</strong>: - <code>KnowledgeGapAgent</code>: Evaluates research completeness - <code>ToolSelectorAgent</code>: Selects tools for addressing gaps - <code>ThinkingAgent</code>: Generates observations - <code>WriterAgent</code>: Creates final report - <code>JudgeHandler</code>: Assesses evidence sufficiency</p> <p><strong>Features</strong>: - Tracks iterations, time, budget - Supports graph execution (<code>use_graph=True</code>) and agent chains (<code>use_graph=False</code>) - Iterates until research complete or constraints met</p> <p><strong>Usage</strong>:</p> <h3 id=deepresearchflow>DeepResearchFlow<a class=headerlink href=#deepresearchflow title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/orchestrator/research_flow.py</code></p> <p><strong>Pattern</strong>: Planner → Parallel iterative loops per section → Synthesizer</p> <p><strong>Agents Used</strong>: - <code>PlannerAgent</code>: Breaks query into report sections - <code>IterativeResearchFlow</code>: Per-section research (parallel) - <code>LongWriterAgent</code> or <code>ProofreaderAgent</code>: Final synthesis</p> <p><strong>Features</strong>: - Uses <code>WorkflowManager</code> for parallel execution - Budget tracking per section and globally - State synchronization across parallel loops - Supports graph execution and agent chains</p> <p><strong>Usage</strong>:</p> <h2 id=graph-orchestrator>Graph Orchestrator<a class=headerlink href=#graph-orchestrator title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/orchestrator/graph_orchestrator.py</code></p> <p><strong>Purpose</strong>: Graph-based execution using Pydantic AI agents as nodes</p> <p><strong>Features</strong>: - Uses graph execution (<code>use_graph=True</code>) or agent chains (<code>use_graph=False</code>) as fallback - Routes based on research mode (iterative/deep/auto) - Streams <code>AgentEvent</code> objects for UI - Uses <code>GraphExecutionContext</code> to manage execution state</p> <p><strong>Node Types</strong>: - <strong>Agent Nodes</strong>: Execute Pydantic AI agents - <strong>State Nodes</strong>: Update or read workflow state - <strong>Decision Nodes</strong>: Make routing decisions - <strong>Parallel Nodes</strong>: Execute multiple nodes concurrently</p> <p><strong>Edge Types</strong>: - <strong>Sequential Edges</strong>: Always traversed - <strong>Conditional Edges</strong>: Traversed based on condition - <strong>Parallel Edges</strong>: Used for parallel execution branches</p> <p><strong>Special Node Handling</strong>:</p> <p>The <code>GraphOrchestrator</code> has special handling for certain nodes:</p> <ul> <li><strong><code>execute_tools</code> node</strong>: State node that uses <code>search_handler</code> to execute searches and add evidence to workflow state</li> <li><strong><code>parallel_loops</code> node</strong>: Parallel node that executes <code>IterativeResearchFlow</code> instances for each section in deep research mode</li> <li><strong><code>synthesizer</code> node</strong>: Agent node that calls <code>LongWriterAgent.write_report()</code> directly with <code>ReportDraft</code> instead of using <code>agent.run()</code></li> <li><strong><code>writer</code> node</strong>: Agent node that calls <code>WriterAgent.write_report()</code> directly with findings instead of using <code>agent.run()</code></li> </ul> <p><strong>GraphExecutionContext</strong>:</p> <p>The orchestrator uses <code>GraphExecutionContext</code> to manage execution state: - Tracks current node, visited nodes, and node results - Manages workflow state and budget tracker - Provides methods to store and retrieve node execution results</p> <h2 id=orchestrator-factory>Orchestrator Factory<a class=headerlink href=#orchestrator-factory title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/orchestrator_factory.py</code></p> <p><strong>Purpose</strong>: Factory for creating orchestrators</p> <p><strong>Modes</strong>: - <strong>Simple</strong>: Legacy orchestrator (backward compatible) - <strong>Advanced</strong>: Magentic orchestrator (requires OpenAI API key) - <strong>Auto-detect</strong>: Chooses based on API key availability</p> <p><strong>Usage</strong>:</p> <h2 id=magentic-orchestrator>Magentic Orchestrator<a class=headerlink href=#magentic-orchestrator title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/orchestrator_magentic.py</code></p> <p><strong>Purpose</strong>: Multi-agent coordination using Microsoft Agent Framework</p> <p><strong>Features</strong>: - Uses <code>agent-framework-core</code> - ChatAgent pattern with internal LLMs per agent - <code>MagenticBuilder</code> with participants: - <code>searcher</code>: SearchAgent (wraps SearchHandler) - <code>hypothesizer</code>: HypothesisAgent (generates hypotheses) - <code>judge</code>: JudgeAgent (evaluates evidence) - <code>reporter</code>: ReportAgent (generates final report) - Manager orchestrates agents via chat client (OpenAI or HuggingFace) - Event-driven: converts Magentic events to <code>AgentEvent</code> for UI streaming via <code>_process_event()</code> method - Supports max rounds, stall detection, and reset handling</p> <p><strong>Event Processing</strong>:</p> <p>The orchestrator processes Magentic events and converts them to <code>AgentEvent</code>: - <code>MagenticOrchestratorMessageEvent</code> → <code>AgentEvent</code> with type based on message content - <code>MagenticAgentMessageEvent</code> → <code>AgentEvent</code> with type based on agent name - <code>MagenticAgentDeltaEvent</code> → <code>AgentEvent</code> for streaming updates - <code>MagenticFinalResultEvent</code> → <code>AgentEvent</code> with type "complete"</p> <p><strong>Requirements</strong>: - <code>agent-framework-core</code> package - OpenAI API key or HuggingFace authentication</p> <h2 id=hierarchical-orchestrator>Hierarchical Orchestrator<a class=headerlink href=#hierarchical-orchestrator title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/orchestrator_hierarchical.py</code></p> <p><strong>Purpose</strong>: Hierarchical orchestrator using middleware and sub-teams</p> <p><strong>Features</strong>: - Uses <code>SubIterationMiddleware</code> with <code>ResearchTeam</code> and <code>LLMSubIterationJudge</code> - Adapts Magentic ChatAgent to <code>SubIterationTeam</code> protocol - Event-driven via <code>asyncio.Queue</code> for coordination - Supports sub-iteration patterns for complex research tasks</p> <h2 id=legacy-simple-mode>Legacy Simple Mode<a class=headerlink href=#legacy-simple-mode title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/legacy_orchestrator.py</code></p> <p><strong>Purpose</strong>: Linear search-judge-synthesize loop</p> <p><strong>Features</strong>: - Uses <code>SearchHandlerProtocol</code> and <code>JudgeHandlerProtocol</code> - Generator-based design yielding <code>AgentEvent</code> objects - Backward compatibility for simple use cases</p> <h2 id=state-initialization>State Initialization<a class=headerlink href=#state-initialization title="Anchor link to this section">&para;</a></h2> <p>All orchestrators must initialize workflow state:</p> <h2 id=event-streaming>Event Streaming<a class=headerlink href=#event-streaming title="Anchor link to this section">&para;</a></h2> <p>All orchestrators yield <code>AgentEvent</code> objects:</p> <p><strong>Event Types</strong>: - <code>started</code>: Research started - <code>searching</code>: Search in progress - <code>search_complete</code>: Search completed - <code>judging</code>: Evidence evaluation in progress - <code>judge_complete</code>: Evidence evaluation completed - <code>looping</code>: Iteration in progress - <code>hypothesizing</code>: Generating hypotheses - <code>analyzing</code>: Statistical analysis in progress - <code>analysis_complete</code>: Statistical analysis completed - <code>synthesizing</code>: Synthesizing results - <code>complete</code>: Research completed - <code>error</code>: Error occurred - 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class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#embedding-service class=md-nav__link> <span class=md-ellipsis> Embedding Service </span> </a> </li> <li class=md-nav__item> <a href=#llamaindex-rag-service class=md-nav__link> <span class=md-ellipsis> LlamaIndex RAG Service </span> </a> </li> <li class=md-nav__item> <a href=#statistical-analyzer class=md-nav__link> <span class=md-ellipsis> Statistical Analyzer </span> </a> </li> <li class=md-nav__item> <a href=#singleton-pattern class=md-nav__link> <span class=md-ellipsis> Singleton Pattern </span> </a> </li> <li class=md-nav__item> <a href=#service-availability class=md-nav__link> <span class=md-ellipsis> Service Availability </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_6> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex=0> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=false> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=services-architecture>Services Architecture<a class=headerlink href=#services-architecture title="Anchor link to this section">&para;</a></h1> <p>DeepCritical provides several services for embeddings, RAG, and statistical analysis.</p> <h2 id=embedding-service>Embedding Service<a class=headerlink href=#embedding-service title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/services/embeddings.py</code></p> <p><strong>Purpose</strong>: Local sentence-transformers for semantic search and deduplication</p> <p><strong>Features</strong>: - <strong>No API Key Required</strong>: Uses local sentence-transformers models - <strong>Async-Safe</strong>: All operations use <code>run_in_executor()</code> to avoid blocking the event loop - <strong>ChromaDB Storage</strong>: In-memory vector storage for embeddings - <strong>Deduplication</strong>: 0.9 similarity threshold by default (90% similarity = duplicate, configurable)</p> <p><strong>Model</strong>: Configurable via <code>settings.local_embedding_model</code> (default: <code>all-MiniLM-L6-v2</code>)</p> <p><strong>Methods</strong>: - <code>async def embed(text: str) -&gt; list[float]</code>: Generate embeddings (async-safe via <code>run_in_executor()</code>) - <code>async def embed_batch(texts: list[str]) -&gt; list[list[float]]</code>: Batch embedding (more efficient) - <code>async def add_evidence(evidence_id: str, content: str, metadata: dict[str, Any]) -&gt; None</code>: Add evidence to vector store - <code>async def search_similar(query: str, n_results: int = 5) -&gt; list[dict[str, Any]]</code>: Find semantically similar evidence - <code>async def deduplicate(new_evidence: list[Evidence], threshold: float = 0.9) -&gt; list[Evidence]</code>: Remove semantically duplicate evidence</p> <p><strong>Usage</strong>: <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.services.embeddings</span><span class=w> </span><span class=kn>import</span> <span class=n>get_embedding_service</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=n>service</span> <span class=o>=</span> <span class=n>get_embedding_service</span><span class=p>()</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=n>embedding</span> <span class=o>=</span> <span class=k>await</span> <span class=n>service</span><span class=o>.</span><span class=n>embed</span><span class=p>(</span><span class=s2>&quot;text to embed&quot;</span><span class=p>)</span>
-</span></code></pre></div></p> <h2 id=llamaindex-rag-service>LlamaIndex RAG Service<a class=headerlink href=#llamaindex-rag-service title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/services/llamaindex_rag.py</code></p> <p><strong>Purpose</strong>: Retrieval-Augmented Generation using LlamaIndex</p> <p><strong>Features</strong>: - <strong>Multiple Embedding Providers</strong>: OpenAI embeddings (requires <code>OPENAI_API_KEY</code>) or local sentence-transformers (no API key) - <strong>Multiple LLM Providers</strong>: HuggingFace LLM (preferred) or OpenAI LLM (fallback) for query synthesis - <strong>ChromaDB Storage</strong>: Vector database for document storage (supports in-memory mode) - <strong>Metadata Preservation</strong>: Preserves source, title, URL, date, authors - <strong>Lazy Initialization</strong>: Graceful fallback if dependencies not available</p> <p><strong>Initialization Parameters</strong>: - <code>use_openai_embeddings: bool | None</code>: Force OpenAI embeddings (None = auto-detect) - <code>use_in_memory: bool</code>: Use in-memory ChromaDB client (useful for tests) - <code>oauth_token: str | None</code>: Optional OAuth token from HuggingFace login (takes priority over env vars)</p> <p><strong>Methods</strong>: - <code>async def ingest_evidence(evidence: list[Evidence]) -&gt; None</code>: Ingest evidence into RAG - <code>async def retrieve(query: str, top_k: int = 5) -&gt; list[Document]</code>: Retrieve relevant documents - <code>async def query(query: str, top_k: int = 5) -&gt; str</code>: Query with RAG</p> <p><strong>Usage</strong>: <div class="language-python highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.services.llamaindex_rag</span><span class=w> </span><span class=kn>import</span> <span class=n>get_rag_service</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a>
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a><span class=n>service</span> <span class=o>=</span> <span class=n>get_rag_service</span><span class=p>(</span>
-</span><span id=__span-1-4><a id=__codelineno-1-4 name=__codelineno-1-4 href=#__codelineno-1-4></a>    <span class=n>use_openai_embeddings</span><span class=o>=</span><span class=kc>False</span><span class=p>,</span>  <span class=c1># Use local embeddings</span>
-</span><span id=__span-1-5><a id=__codelineno-1-5 name=__codelineno-1-5 href=#__codelineno-1-5></a>    <span class=n>use_in_memory</span><span class=o>=</span><span class=kc>True</span><span class=p>,</span>  <span class=c1># Use in-memory ChromaDB</span>
-</span><span id=__span-1-6><a id=__codelineno-1-6 name=__codelineno-1-6 href=#__codelineno-1-6></a>    <span class=n>oauth_token</span><span class=o>=</span><span class=n>token</span>  <span class=c1># Optional HuggingFace token</span>
-</span><span id=__span-1-7><a id=__codelineno-1-7 name=__codelineno-1-7 href=#__codelineno-1-7></a><span class=p>)</span>
-</span><span id=__span-1-8><a id=__codelineno-1-8 name=__codelineno-1-8 href=#__codelineno-1-8></a><span class=k>if</span> <span class=n>service</span><span class=p>:</span>
-</span><span id=__span-1-9><a id=__codelineno-1-9 name=__codelineno-1-9 href=#__codelineno-1-9></a>    <span class=n>documents</span> <span class=o>=</span> <span class=k>await</span> <span class=n>service</span><span class=o>.</span><span class=n>retrieve</span><span class=p>(</span><span class=s2>&quot;query&quot;</span><span class=p>,</span> <span class=n>top_k</span><span class=o>=</span><span class=mi>5</span><span class=p>)</span>
-</span></code></pre></div></p> <h2 id=statistical-analyzer>Statistical Analyzer<a class=headerlink href=#statistical-analyzer title="Anchor link to this section">&para;</a></h2> <p><strong>File</strong>: <code>src/services/statistical_analyzer.py</code></p> <p><strong>Purpose</strong>: Secure execution of AI-generated statistical code</p> <p><strong>Features</strong>: - <strong>Modal Sandbox</strong>: Secure, isolated execution environment - <strong>Code Generation</strong>: Generates Python code via LLM - <strong>Library Pinning</strong>: Version-pinned libraries in <code>SANDBOX_LIBRARIES</code> - <strong>Network Isolation</strong>: <code>block_network=True</code> by default</p> <p><strong>Libraries Available</strong>: - pandas, numpy, scipy - matplotlib, scikit-learn - statsmodels</p> <p><strong>Output</strong>: <code>AnalysisResult</code> with: - <code>verdict</code>: SUPPORTED, REFUTED, or INCONCLUSIVE - <code>code</code>: Generated analysis code - <code>output</code>: Execution output - <code>error</code>: Error message if execution failed</p> <p><strong>Usage</strong>: <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.services.statistical_analyzer</span><span class=w> </span><span class=kn>import</span> <span class=n>StatisticalAnalyzer</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a><span class=n>analyzer</span> <span class=o>=</span> <span class=n>StatisticalAnalyzer</span><span class=p>()</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a><span class=n>result</span> <span class=o>=</span> <span class=k>await</span> <span class=n>analyzer</span><span class=o>.</span><span class=n>analyze</span><span class=p>(</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a>    <span class=n>hypothesis</span><span class=o>=</span><span class=s2>&quot;Metformin reduces cancer risk&quot;</span><span class=p>,</span>
-</span><span id=__span-2-6><a id=__codelineno-2-6 name=__codelineno-2-6 href=#__codelineno-2-6></a>    <span class=n>evidence</span><span class=o>=</span><span class=n>evidence_list</span>
-</span><span id=__span-2-7><a id=__codelineno-2-7 name=__codelineno-2-7 href=#__codelineno-2-7></a><span class=p>)</span>
-</span></code></pre></div></p> <h2 id=singleton-pattern>Singleton Pattern<a class=headerlink href=#singleton-pattern title="Anchor link to this section">&para;</a></h2> <p>Services use singleton patterns for lazy initialization:</p> <p><strong>EmbeddingService</strong>: Uses a global variable pattern:</p> <p><strong>LlamaIndexRAGService</strong>: Direct instantiation (no caching):</p> <p>This ensures: - Single instance per process - Lazy initialization - No dependencies required at import time</p> <h2 id=service-availability>Service Availability<a class=headerlink href=#service-availability title="Anchor link to this section">&para;</a></h2> <p>Services check availability before use:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.utils.config</span><span class=w> </span><span class=kn>import</span> <span class=n>settings</span>
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a>
-</span><span id=__span-3-3><a id=__codelineno-3-3 name=__codelineno-3-3 href=#__codelineno-3-3></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>modal_available</span><span class=p>:</span>
-</span><span id=__span-3-4><a id=__codelineno-3-4 name=__codelineno-3-4 href=#__codelineno-3-4></a>    <span class=c1># Use Modal sandbox</span>
-</span><span id=__span-3-5><a id=__codelineno-3-5 name=__codelineno-3-5 href=#__codelineno-3-5></a>    <span class=k>pass</span>
-</span><span id=__span-3-6><a id=__codelineno-3-6 name=__codelineno-3-6 href=#__codelineno-3-6></a>
-</span><span id=__span-3-7><a id=__codelineno-3-7 name=__codelineno-3-7 href=#__codelineno-3-7></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_openai_key</span><span class=p>:</span>
-</span><span id=__span-3-8><a id=__codelineno-3-8 name=__codelineno-3-8 href=#__codelineno-3-8></a>    <span class=c1># Use OpenAI embeddings for RAG</span>
-</span><span id=__span-3-9><a id=__codelineno-3-9 name=__codelineno-3-9 href=#__codelineno-3-9></a>    <span class=k>pass</span>
-</span></code></pre></div> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../tools/ >Tools</a> - How services are used by search tools</li> <li><a href=../../api/services/ >API Reference - Services</a> - API documentation</li> <li><a href=../../configuration/ >Configuration</a> - Service configuration</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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<span class=md-ellipsis> SearchTool Protocol </span> </a> </li> <li class=md-nav__item> <a href=#rate-limiting class=md-nav__link> <span class=md-ellipsis> Rate Limiting </span> </a> </li> <li class=md-nav__item> <a href=#error-handling class=md-nav__link> <span class=md-ellipsis> Error Handling </span> </a> </li> <li class=md-nav__item> <a href=#query-preprocessing class=md-nav__link> <span class=md-ellipsis> Query Preprocessing </span> </a> </li> <li class=md-nav__item> <a href=#evidence-conversion class=md-nav__link> <span class=md-ellipsis> Evidence Conversion </span> </a> </li> <li class=md-nav__item> <a href=#tool-implementations class=md-nav__link> <span class=md-ellipsis> Tool Implementations </span> </a> <nav class=md-nav aria-label="Tool Implementations"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#pubmed-tool class=md-nav__link> <span class=md-ellipsis> PubMed Tool </span> </a> </li> <li class=md-nav__item> <a href=#clinicaltrials-tool class=md-nav__link> <span 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Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=tools-architecture>Tools Architecture<a class=headerlink href=#tools-architecture title="Anchor link to this section">&para;</a></h1> <p>DeepCritical implements a protocol-based search tool system for retrieving evidence from multiple sources.</p> <h2 id=searchtool-protocol>SearchTool Protocol<a class=headerlink href=#searchtool-protocol title="Anchor link to this section">&para;</a></h2> <p>All tools implement the <code>SearchTool</code> protocol from <code>src/tools/base.py</code>:</p> <h2 id=rate-limiting>Rate Limiting<a class=headerlink href=#rate-limiting title="Anchor link to this section">&para;</a></h2> <p>All tools use the <code>@retry</code> decorator from tenacity:</p> <p>Tools with API rate limits implement <code>_rate_limit()</code> method and use shared rate limiters from <code>src/tools/rate_limiter.py</code>.</p> <h2 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">&para;</a></h2> <p>Tools raise custom exceptions:</p> <ul> <li><code>SearchError</code>: General search failures</li> <li><code>RateLimitError</code>: Rate limit exceeded</li> </ul> <p>Tools handle HTTP errors (429, 500, timeout) and return empty lists on non-critical errors (with warning logs).</p> <h2 id=query-preprocessing>Query Preprocessing<a class=headerlink href=#query-preprocessing title="Anchor link to this section">&para;</a></h2> <p>Tools use <code>preprocess_query()</code> from <code>src/tools/query_utils.py</code> to:</p> <ul> <li>Remove noise from queries</li> <li>Expand synonyms</li> <li>Normalize query format</li> </ul> <h2 id=evidence-conversion>Evidence Conversion<a class=headerlink href=#evidence-conversion title="Anchor link to this section">&para;</a></h2> <p>All tools convert API responses to <code>Evidence</code> objects with:</p> <ul> <li><code>Citation</code>: Title, URL, date, authors</li> <li><code>content</code>: Evidence text</li> <li><code>relevance_score</code>: 0.0-1.0 relevance score</li> <li><code>metadata</code>: Additional metadata</li> </ul> <p>Missing fields are handled gracefully with defaults.</p> <h2 id=tool-implementations>Tool Implementations<a class=headerlink href=#tool-implementations title="Anchor link to this section">&para;</a></h2> <h3 id=pubmed-tool>PubMed Tool<a class=headerlink href=#pubmed-tool title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/tools/pubmed.py</code></p> <p><strong>API</strong>: NCBI E-utilities (ESearch → EFetch)</p> <p><strong>Rate Limiting</strong>: - 0.34s between requests (3 req/sec without API key) - 0.1s between requests (10 req/sec with NCBI API key)</p> <p><strong>Features</strong>: - XML parsing with <code>xmltodict</code> - Handles single vs. multiple articles - Query preprocessing - Evidence conversion with metadata extraction</p> <h3 id=clinicaltrials-tool>ClinicalTrials Tool<a class=headerlink href=#clinicaltrials-tool title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/tools/clinicaltrials.py</code></p> <p><strong>API</strong>: ClinicalTrials.gov API v2</p> <p><strong>Important</strong>: Uses <code>requests</code> library (NOT httpx) because WAF blocks httpx TLS fingerprint.</p> <p><strong>Execution</strong>: Runs in thread pool: <code>await asyncio.to_thread(requests.get, ...)</code></p> <p><strong>Filtering</strong>: - Only interventional studies - Status: <code>COMPLETED</code>, <code>ACTIVE_NOT_RECRUITING</code>, <code>RECRUITING</code>, <code>ENROLLING_BY_INVITATION</code></p> <p><strong>Features</strong>: - Parses nested JSON structure - Extracts trial metadata - Evidence conversion</p> <h3 id=europe-pmc-tool>Europe PMC Tool<a class=headerlink href=#europe-pmc-tool title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/tools/europepmc.py</code></p> <p><strong>API</strong>: Europe PMC REST API</p> <p><strong>Features</strong>: - Handles preprint markers: <code>[PREPRINT - Not peer-reviewed]</code> - Builds URLs from DOI or PMID - Checks <code>pubTypeList</code> for preprint detection - Includes both preprints and peer-reviewed articles</p> <h3 id=rag-tool>RAG Tool<a class=headerlink href=#rag-tool title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/tools/rag_tool.py</code></p> <p><strong>Purpose</strong>: Semantic search within collected evidence</p> <p><strong>Implementation</strong>: Wraps <code>LlamaIndexRAGService</code></p> <p><strong>Features</strong>: - Returns Evidence from RAG results - Handles evidence ingestion - Semantic similarity search - Metadata preservation</p> <h3 id=search-handler>Search Handler<a class=headerlink href=#search-handler title="Anchor link to this section">&para;</a></h3> <p><strong>File</strong>: <code>src/tools/search_handler.py</code></p> <p><strong>Purpose</strong>: Orchestrates parallel searches across multiple tools</p> <p><strong>Initialization Parameters</strong>: - <code>tools: list[SearchTool]</code>: List of search tools to use - <code>timeout: float = 30.0</code>: Timeout for each search in seconds - <code>include_rag: bool = False</code>: Whether to include RAG tool in searches - <code>auto_ingest_to_rag: bool = True</code>: Whether to automatically ingest results into RAG - <code>oauth_token: str | None = None</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p> <p><strong>Methods</strong>: - <code>async def execute(query: str, max_results_per_tool: int = 10) -&gt; SearchResult</code>: Execute search across all tools in parallel</p> <p><strong>Features</strong>: - Uses <code>asyncio.gather()</code> with <code>return_exceptions=True</code> for parallel execution - Aggregates results into <code>SearchResult</code> with evidence and metadata - Handles tool failures gracefully (continues with other tools) - Deduplicates results by URL - Automatically ingests results into RAG if <code>auto_ingest_to_rag=True</code> - Can add RAG tool dynamically via <code>add_rag_tool()</code> method</p> <h2 id=tool-registration>Tool Registration<a class=headerlink href=#tool-registration title="Anchor link to this section">&para;</a></h2> <p>Tools are registered in the search handler:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.tools.pubmed</span><span class=w> </span><span class=kn>import</span> <span class=n>PubMedTool</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a><span class=kn>from</span><span class=w> </span><span class=nn>src.tools.clinicaltrials</span><span class=w> </span><span class=kn>import</span> <span class=n>ClinicalTrialsTool</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=kn>from</span><span class=w> </span><span class=nn>src.tools.europepmc</span><span class=w> </span><span class=kn>import</span> <span class=n>EuropePMCTool</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=kn>from</span><span class=w> </span><span class=nn>src.tools.search_handler</span><span class=w> </span><span class=kn>import</span> <span class=n>SearchHandler</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a><span class=n>search_handler</span> <span class=o>=</span> <span class=n>SearchHandler</span><span class=p>(</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>    <span class=n>tools</span><span class=o>=</span><span class=p>[</span>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a>        <span class=n>PubMedTool</span><span class=p>(),</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a>        <span class=n>ClinicalTrialsTool</span><span class=p>(),</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a>        <span class=n>EuropePMCTool</span><span class=p>(),</span>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a>    <span class=p>],</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>    <span class=n>include_rag</span><span class=o>=</span><span class=kc>True</span><span class=p>,</span>  <span class=c1># Include RAG tool for semantic search</span>
-</span><span id=__span-0-13><a id=__codelineno-0-13 name=__codelineno-0-13 href=#__codelineno-0-13></a>    <span class=n>auto_ingest_to_rag</span><span class=o>=</span><span class=kc>True</span><span class=p>,</span>  <span class=c1># Automatically ingest results into RAG</span>
-</span><span id=__span-0-14><a id=__codelineno-0-14 name=__codelineno-0-14 href=#__codelineno-0-14></a>    <span class=n>oauth_token</span><span class=o>=</span><span class=n>token</span>  <span class=c1># Optional HuggingFace token for RAG LLM</span>
-</span><span id=__span-0-15><a id=__codelineno-0-15 name=__codelineno-0-15 href=#__codelineno-0-15></a><span class=p>)</span>
-</span><span id=__span-0-16><a id=__codelineno-0-16 name=__codelineno-0-16 href=#__codelineno-0-16></a>
-</span><span id=__span-0-17><a id=__codelineno-0-17 name=__codelineno-0-17 href=#__codelineno-0-17></a><span class=c1># Execute search</span>
-</span><span id=__span-0-18><a id=__codelineno-0-18 name=__codelineno-0-18 href=#__codelineno-0-18></a><span class=n>result</span> <span class=o>=</span> <span class=k>await</span> <span class=n>search_handler</span><span class=o>.</span><span class=n>execute</span><span class=p>(</span><span class=s2>&quot;query&quot;</span><span class=p>,</span> <span class=n>max_results_per_tool</span><span class=o>=</span><span class=mi>10</span><span class=p>)</span>
-</span></code></pre></div> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../services/ >Services</a> - RAG and embedding services</li> <li><a href=../../api/tools/ >API Reference - Tools</a> - API documentation</li> <li><a href=../../contributing/implementation-patterns/ >Contributing - Implementation Patterns</a> - Development guidelines</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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aria-labelledby=__nav_4_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Configuration </label> <ul class=md-nav__list data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input checked class="md-nav__toggle md-toggle" id=__nav_5 type=checkbox> <label class=md-nav__link for=__nav_5 id=__nav_5_label tabindex> <span class=md-ellipsis> Architecture </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=true aria-labelledby=__nav_5_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Architecture </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../graph_orchestration/ class=md-nav__link> <span class=md-ellipsis> Graph Orchestration </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" id=__toc type=checkbox> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Workflow Diagrams </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Workflow Diagrams </span> </a> <nav aria-label="Table of contents" class="md-nav md-nav--secondary"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a class=md-nav__link href=#1-high-level-magentic-workflow> <span class=md-ellipsis> 1. High-Level Magentic Workflow </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#2-magentic-manager-the-6-phase-cycle> <span class=md-ellipsis> 2. Magentic Manager: The 6-Phase Cycle </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#3-simplified-agent-architecture> <span class=md-ellipsis> 3. Simplified Agent Architecture </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#4-dynamic-workflow-example> <span class=md-ellipsis> 4. Dynamic Workflow Example </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#5-manager-decision-logic> <span class=md-ellipsis> 5. Manager Decision Logic </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#6-hypothesis-agent-workflow> <span class=md-ellipsis> 6. Hypothesis Agent Workflow </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#7-search-agent-workflow> <span class=md-ellipsis> 7. Search Agent Workflow </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#8-analysis-agent-workflow> <span class=md-ellipsis> 8. Analysis Agent Workflow </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#9-report-agent-workflow> <span class=md-ellipsis> 9. Report Agent Workflow </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#10-data-flow--event-streaming> <span class=md-ellipsis> 10. Data Flow &amp; Event Streaming </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#11-mcp-tool-architecture> <span class=md-ellipsis> 11. MCP Tool Architecture </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#12-progress-tracking--stall-detection> <span class=md-ellipsis> 12. Progress Tracking &amp; Stall Detection </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#13-gradio-ui-integration> <span class=md-ellipsis> 13. Gradio UI Integration </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#14-complete-system-context> <span class=md-ellipsis> 14. Complete System Context </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#15-workflow-timeline-simplified> <span class=md-ellipsis> 15. Workflow Timeline (Simplified) </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#key-differences-from-original-design> <span class=md-ellipsis> Key Differences from Original Design </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#simplified-design-principles> <span class=md-ellipsis> Simplified Design Principles </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#legend> <span class=md-ellipsis> Legend </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#implementation-highlights> <span class=md-ellipsis> Implementation Highlights </span> </a> </li> <li class=md-nav__item> <a class=md-nav__link href=#see-also> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../agents/ class=md-nav__link> <span class=md-ellipsis> Agents </span> </a> </li> <li class=md-nav__item> <a href=../orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators </span> </a> </li> <li class=md-nav__item> <a href=../tools/ class=md-nav__link> <span class=md-ellipsis> Tools </span> </a> </li> <li class=md-nav__item> <a href=../middleware/ class=md-nav__link> <span class=md-ellipsis> Middleware </span> </a> </li> <li class=md-nav__item> <a href=../services/ class=md-nav__link> <span class=md-ellipsis> Services </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" id=__nav_6 type=checkbox> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex=0> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav aria-expanded=false aria-labelledby=__nav_6_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" id=__nav_7 type=checkbox> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> <label class=md-nav__link for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav aria-expanded=false aria-labelledby=__nav_7_label class=md-nav data-md-level=1> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=deepcritical-workflow---simplified-magentic-architecture>DeepCritical Workflow - Simplified Magentic Architecture<a class=headerlink href=#deepcritical-workflow---simplified-magentic-architecture title="Anchor link to this section">¶</a></h1> <blockquote> <p><strong>Architecture Pattern</strong>: Microsoft Magentic Orchestration <strong>Design Philosophy</strong>: Simple, dynamic, manager-driven coordination <strong>Key Innovation</strong>: Intelligent manager replaces rigid sequential phases</p> </blockquote> <hr> <h2 id=1-high-level-magentic-workflow>1. High-Level Magentic Workflow<a class=headerlink href=#1-high-level-magentic-workflow title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    Start([User Query]) --&gt; Manager[Magentic Manager&lt;br/&gt;Plan • Select • Assess • Adapt]
-
-    Manager --&gt;|Plans| Task1[Task Decomposition]
-    Task1 --&gt; Manager
-
-    Manager --&gt;|Selects &amp; Executes| HypAgent[Hypothesis Agent]
-    Manager --&gt;|Selects &amp; Executes| SearchAgent[Search Agent]
-    Manager --&gt;|Selects &amp; Executes| AnalysisAgent[Analysis Agent]
-    Manager --&gt;|Selects &amp; Executes| ReportAgent[Report Agent]
-
-    HypAgent --&gt;|Results| Manager
-    SearchAgent --&gt;|Results| Manager
-    AnalysisAgent --&gt;|Results| Manager
-    ReportAgent --&gt;|Results| Manager
-
-    Manager --&gt;|Assesses Quality| Decision{Good Enough?}
-    Decision --&gt;|No - Refine| Manager
-    Decision --&gt;|No - Different Agent| Manager
-    Decision --&gt;|No - Stalled| Replan[Reset Plan]
-    Replan --&gt; Manager
-
-    Decision --&gt;|Yes| Synthesis[Synthesize Final Result]
-    Synthesis --&gt; Output([Research Report])
-
-    style Start fill:#e1f5e1
-    style Manager fill:#ffe6e6
-    style HypAgent fill:#fff4e6
-    style SearchAgent fill:#fff4e6
-    style AnalysisAgent fill:#fff4e6
-    style ReportAgent fill:#fff4e6
-    style Decision fill:#ffd6d6
-    style Synthesis fill:#d4edda
-    style Output fill:#e1f5e1</code></pre> <h2 id=2-magentic-manager-the-6-phase-cycle>2. Magentic Manager: The 6-Phase Cycle<a class=headerlink href=#2-magentic-manager-the-6-phase-cycle title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart LR
-    P1[1. Planning&lt;br/&gt;Analyze task&lt;br/&gt;Create strategy] --&gt; P2[2. Agent Selection&lt;br/&gt;Pick best agent&lt;br/&gt;for subtask]
-    P2 --&gt; P3[3. Execution&lt;br/&gt;Run selected&lt;br/&gt;agent with tools]
-    P3 --&gt; P4[4. Assessment&lt;br/&gt;Evaluate quality&lt;br/&gt;Check progress]
-    P4 --&gt; Decision{Quality OK?&lt;br/&gt;Progress made?}
-    Decision --&gt;|Yes| P6[6. Synthesis&lt;br/&gt;Combine results&lt;br/&gt;Generate report]
-    Decision --&gt;|No| P5[5. Iteration&lt;br/&gt;Adjust plan&lt;br/&gt;Try again]
-    P5 --&gt; P2
-    P6 --&gt; Done([Complete])
-
-    style P1 fill:#fff4e6
-    style P2 fill:#ffe6e6
-    style P3 fill:#e6f3ff
-    style P4 fill:#ffd6d6
-    style P5 fill:#fff3cd
-    style P6 fill:#d4edda
-    style Done fill:#e1f5e1</code></pre> <h2 id=3-simplified-agent-architecture>3. Simplified Agent Architecture<a class=headerlink href=#3-simplified-agent-architecture title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>graph TB
-    subgraph "Orchestration Layer"
-        Manager[Magentic Manager&lt;br/&gt;• Plans workflow&lt;br/&gt;• Selects agents&lt;br/&gt;• Assesses quality&lt;br/&gt;• Adapts strategy]
-        SharedContext[(Shared Context&lt;br/&gt;• Hypotheses&lt;br/&gt;• Search Results&lt;br/&gt;• Analysis&lt;br/&gt;• Progress)]
-        Manager &lt;--&gt; SharedContext
-    end
-
-    subgraph "Specialist Agents"
-        HypAgent[Hypothesis Agent&lt;br/&gt;• Domain understanding&lt;br/&gt;• Hypothesis generation&lt;br/&gt;• Testability refinement]
-        SearchAgent[Search Agent&lt;br/&gt;• Multi-source search&lt;br/&gt;• RAG retrieval&lt;br/&gt;• Result ranking]
-        AnalysisAgent[Analysis Agent&lt;br/&gt;• Evidence extraction&lt;br/&gt;• Statistical analysis&lt;br/&gt;• Code execution]
-        ReportAgent[Report Agent&lt;br/&gt;• Report assembly&lt;br/&gt;• Visualization&lt;br/&gt;• Citation formatting]
-    end
-
-    subgraph "MCP Tools"
-        WebSearch[Web Search&lt;br/&gt;PubMed • arXiv • bioRxiv]
-        CodeExec[Code Execution&lt;br/&gt;Sandboxed Python]
-        RAG[RAG Retrieval&lt;br/&gt;Vector DB • Embeddings]
-        Viz[Visualization&lt;br/&gt;Charts • Graphs]
-    end
-
-    Manager --&gt;|Selects &amp; Directs| HypAgent
-    Manager --&gt;|Selects &amp; Directs| SearchAgent
-    Manager --&gt;|Selects &amp; Directs| AnalysisAgent
-    Manager --&gt;|Selects &amp; Directs| ReportAgent
-
-    HypAgent --&gt; SharedContext
-    SearchAgent --&gt; SharedContext
-    AnalysisAgent --&gt; SharedContext
-    ReportAgent --&gt; SharedContext
-
-    SearchAgent --&gt; WebSearch
-    SearchAgent --&gt; RAG
-    AnalysisAgent --&gt; CodeExec
-    ReportAgent --&gt; CodeExec
-    ReportAgent --&gt; Viz
-
-    style Manager fill:#ffe6e6
-    style SharedContext fill:#ffe6f0
-    style HypAgent fill:#fff4e6
-    style SearchAgent fill:#fff4e6
-    style AnalysisAgent fill:#fff4e6
-    style ReportAgent fill:#fff4e6
-    style WebSearch fill:#e6f3ff
-    style CodeExec fill:#e6f3ff
-    style RAG fill:#e6f3ff
-    style Viz fill:#e6f3ff</code></pre> <h2 id=4-dynamic-workflow-example>4. Dynamic Workflow Example<a class=headerlink href=#4-dynamic-workflow-example title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>sequenceDiagram
-    participant User
-    participant Manager
-    participant HypAgent
-    participant SearchAgent
-    participant AnalysisAgent
-    participant ReportAgent
-
-    User-&gt;&gt;Manager: "Research protein folding in Alzheimer's"
-
-    Note over Manager: PLAN: Generate hypotheses → Search → Analyze → Report
-
-    Manager-&gt;&gt;HypAgent: Generate 3 hypotheses
-    HypAgent--&gt;&gt;Manager: Returns 3 hypotheses
-    Note over Manager: ASSESS: Good quality, proceed
-
-    Manager-&gt;&gt;SearchAgent: Search literature for hypothesis 1
-    SearchAgent--&gt;&gt;Manager: Returns 15 papers
-    Note over Manager: ASSESS: Good results, continue
-
-    Manager-&gt;&gt;SearchAgent: Search for hypothesis 2
-    SearchAgent--&gt;&gt;Manager: Only 2 papers found
-    Note over Manager: ASSESS: Insufficient, refine search
-
-    Manager-&gt;&gt;SearchAgent: Refined query for hypothesis 2
-    SearchAgent--&gt;&gt;Manager: Returns 12 papers
-    Note over Manager: ASSESS: Better, proceed
-
-    Manager-&gt;&gt;AnalysisAgent: Analyze evidence for all hypotheses
-    AnalysisAgent--&gt;&gt;Manager: Returns analysis with code
-    Note over Manager: ASSESS: Complete, generate report
-
-    Manager-&gt;&gt;ReportAgent: Create comprehensive report
-    ReportAgent--&gt;&gt;Manager: Returns formatted report
-    Note over Manager: SYNTHESIZE: Combine all results
-
-    Manager-&gt;&gt;User: Final Research Report</code></pre> <h2 id=5-manager-decision-logic>5. Manager Decision Logic<a class=headerlink href=#5-manager-decision-logic title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    Start([Manager Receives Task]) --&gt; Plan[Create Initial Plan]
-
-    Plan --&gt; Select[Select Agent for Next Subtask]
-    Select --&gt; Execute[Execute Agent]
-    Execute --&gt; Collect[Collect Results]
-
-    Collect --&gt; Assess[Assess Quality &amp; Progress]
-
-    Assess --&gt; Q1{Quality Sufficient?}
-    Q1 --&gt;|No| Q2{Same Agent Can Fix?}
-    Q2 --&gt;|Yes| Feedback[Provide Specific Feedback]
-    Feedback --&gt; Execute
-    Q2 --&gt;|No| Different[Try Different Agent]
-    Different --&gt; Select
-
-    Q1 --&gt;|Yes| Q3{Task Complete?}
-    Q3 --&gt;|No| Q4{Making Progress?}
-    Q4 --&gt;|Yes| Select
-    Q4 --&gt;|No - Stalled| Replan[Reset Plan &amp; Approach]
-    Replan --&gt; Plan
-
-    Q3 --&gt;|Yes| Synth[Synthesize Final Result]
-    Synth --&gt; Done([Return Report])
-
-    style Start fill:#e1f5e1
-    style Plan fill:#fff4e6
-    style Select fill:#ffe6e6
-    style Execute fill:#e6f3ff
-    style Assess fill:#ffd6d6
-    style Q1 fill:#ffe6e6
-    style Q2 fill:#ffe6e6
-    style Q3 fill:#ffe6e6
-    style Q4 fill:#ffe6e6
-    style Synth fill:#d4edda
-    style Done fill:#e1f5e1</code></pre> <h2 id=6-hypothesis-agent-workflow>6. Hypothesis Agent Workflow<a class=headerlink href=#6-hypothesis-agent-workflow title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart LR
-    Input[Research Query] --&gt; Domain[Identify Domain&lt;br/&gt;&amp; Key Concepts]
-    Domain --&gt; Context[Retrieve Background&lt;br/&gt;Knowledge]
-    Context --&gt; Generate[Generate 3-5&lt;br/&gt;Initial Hypotheses]
-    Generate --&gt; Refine[Refine for&lt;br/&gt;Testability]
-    Refine --&gt; Rank[Rank by&lt;br/&gt;Quality Score]
-    Rank --&gt; Output[Return Top&lt;br/&gt;Hypotheses]
-
-    Output --&gt; Struct[Hypothesis Structure:&lt;br/&gt;• Statement&lt;br/&gt;• Rationale&lt;br/&gt;• Testability Score&lt;br/&gt;• Data Requirements&lt;br/&gt;• Expected Outcomes]
-
-    style Input fill:#e1f5e1
-    style Output fill:#fff4e6
-    style Struct fill:#e6f3ff</code></pre> <h2 id=7-search-agent-workflow>7. Search Agent Workflow<a class=headerlink href=#7-search-agent-workflow title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    Input[Hypotheses] --&gt; Strategy[Formulate Search&lt;br/&gt;Strategy per Hypothesis]
-
-    Strategy --&gt; Multi[Multi-Source Search]
-
-    Multi --&gt; PubMed[PubMed Search&lt;br/&gt;via MCP]
-    Multi --&gt; ArXiv[arXiv Search&lt;br/&gt;via MCP]
-    Multi --&gt; BioRxiv[bioRxiv Search&lt;br/&gt;via MCP]
-
-    PubMed --&gt; Aggregate[Aggregate Results]
-    ArXiv --&gt; Aggregate
-    BioRxiv --&gt; Aggregate
-
-    Aggregate --&gt; Filter[Filter &amp; Rank&lt;br/&gt;by Relevance]
-    Filter --&gt; Dedup[Deduplicate&lt;br/&gt;Cross-Reference]
-    Dedup --&gt; Embed[Embed Documents&lt;br/&gt;via MCP]
-    Embed --&gt; Vector[(Vector DB)]
-    Vector --&gt; RAGRetrieval[RAG Retrieval&lt;br/&gt;Top-K per Hypothesis]
-    RAGRetrieval --&gt; Output[Return Contextualized&lt;br/&gt;Search Results]
-
-    style Input fill:#fff4e6
-    style Multi fill:#ffe6e6
-    style Vector fill:#ffe6f0
-    style Output fill:#e6f3ff</code></pre> <h2 id=8-analysis-agent-workflow>8. Analysis Agent Workflow<a class=headerlink href=#8-analysis-agent-workflow title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    Input1[Hypotheses] --&gt; Extract
-    Input2[Search Results] --&gt; Extract[Extract Evidence&lt;br/&gt;per Hypothesis]
-
-    Extract --&gt; Methods[Determine Analysis&lt;br/&gt;Methods Needed]
-
-    Methods --&gt; Branch{Requires&lt;br/&gt;Computation?}
-    Branch --&gt;|Yes| GenCode[Generate Python&lt;br/&gt;Analysis Code]
-    Branch --&gt;|No| Qual[Qualitative&lt;br/&gt;Synthesis]
-
-    GenCode --&gt; Execute[Execute Code&lt;br/&gt;via MCP Sandbox]
-    Execute --&gt; Interpret1[Interpret&lt;br/&gt;Results]
-    Qual --&gt; Interpret2[Interpret&lt;br/&gt;Findings]
-
-    Interpret1 --&gt; Synthesize[Synthesize Evidence&lt;br/&gt;Across Sources]
-    Interpret2 --&gt; Synthesize
-
-    Synthesize --&gt; Verdict[Determine Verdict&lt;br/&gt;per Hypothesis]
-    Verdict --&gt; Support[• Supported&lt;br/&gt;• Refuted&lt;br/&gt;• Inconclusive]
-    Support --&gt; Gaps[Identify Knowledge&lt;br/&gt;Gaps &amp; Limitations]
-    Gaps --&gt; Output[Return Analysis&lt;br/&gt;Report]
-
-    style Input1 fill:#fff4e6
-    style Input2 fill:#e6f3ff
-    style Execute fill:#ffe6e6
-    style Output fill:#e6ffe6</code></pre> <h2 id=9-report-agent-workflow>9. Report Agent Workflow<a class=headerlink href=#9-report-agent-workflow title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    Input1[Query] --&gt; Assemble
-    Input2[Hypotheses] --&gt; Assemble
-    Input3[Search Results] --&gt; Assemble
-    Input4[Analysis] --&gt; Assemble[Assemble Report&lt;br/&gt;Sections]
-
-    Assemble --&gt; Exec[Executive Summary]
-    Assemble --&gt; Intro[Introduction]
-    Assemble --&gt; Methods[Methods]
-    Assemble --&gt; Results[Results per&lt;br/&gt;Hypothesis]
-    Assemble --&gt; Discussion[Discussion]
-    Assemble --&gt; Future[Future Directions]
-    Assemble --&gt; Refs[References]
-
-    Results --&gt; VizCheck{Needs&lt;br/&gt;Visualization?}
-    VizCheck --&gt;|Yes| GenViz[Generate Viz Code]
-    GenViz --&gt; ExecViz[Execute via MCP&lt;br/&gt;Create Charts]
-    ExecViz --&gt; Combine
-    VizCheck --&gt;|No| Combine[Combine All&lt;br/&gt;Sections]
-
-    Exec --&gt; Combine
-    Intro --&gt; Combine
-    Methods --&gt; Combine
-    Discussion --&gt; Combine
-    Future --&gt; Combine
-    Refs --&gt; Combine
-
-    Combine --&gt; Format[Format Output]
-    Format --&gt; MD[Markdown]
-    Format --&gt; PDF[PDF]
-    Format --&gt; JSON[JSON]
-
-    MD --&gt; Output[Return Final&lt;br/&gt;Report]
-    PDF --&gt; Output
-    JSON --&gt; Output
-
-    style Input1 fill:#e1f5e1
-    style Input2 fill:#fff4e6
-    style Input3 fill:#e6f3ff
-    style Input4 fill:#e6ffe6
-    style Output fill:#d4edda</code></pre> <h2 id=10-data-flow--event-streaming>10. Data Flow &amp; Event Streaming<a class=headerlink href=#10-data-flow--event-streaming title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>flowchart TD
-    User[👤 User] --&gt;|Research Query| UI[Gradio UI]
-    UI --&gt;|Submit| Manager[Magentic Manager]
-
-    Manager --&gt;|Event: Planning| UI
-    Manager --&gt;|Select Agent| HypAgent[Hypothesis Agent]
-    HypAgent --&gt;|Event: Delta/Message| UI
-    HypAgent --&gt;|Hypotheses| Context[(Shared Context)]
-
-    Context --&gt;|Retrieved by| Manager
-    Manager --&gt;|Select Agent| SearchAgent[Search Agent]
-    SearchAgent --&gt;|MCP Request| WebSearch[Web Search Tool]
-    WebSearch --&gt;|Results| SearchAgent
-    SearchAgent --&gt;|Event: Delta/Message| UI
-    SearchAgent --&gt;|Documents| Context
-    SearchAgent --&gt;|Embeddings| VectorDB[(Vector DB)]
-
-    Context --&gt;|Retrieved by| Manager
-    Manager --&gt;|Select Agent| AnalysisAgent[Analysis Agent]
-    AnalysisAgent --&gt;|MCP Request| CodeExec[Code Execution Tool]
-    CodeExec --&gt;|Results| AnalysisAgent
-    AnalysisAgent --&gt;|Event: Delta/Message| UI
-    AnalysisAgent --&gt;|Analysis| Context
-
-    Context --&gt;|Retrieved by| Manager
-    Manager --&gt;|Select Agent| ReportAgent[Report Agent]
-    ReportAgent --&gt;|MCP Request| CodeExec
-    ReportAgent --&gt;|Event: Delta/Message| UI
-    ReportAgent --&gt;|Report| Context
-
-    Manager --&gt;|Event: Final Result| UI
-    UI --&gt;|Display| User
-
-    style User fill:#e1f5e1
-    style UI fill:#e6f3ff
-    style Manager fill:#ffe6e6
-    style Context fill:#ffe6f0
-    style VectorDB fill:#ffe6f0
-    style WebSearch fill:#f0f0f0
-    style CodeExec fill:#f0f0f0</code></pre> <h2 id=11-mcp-tool-architecture>11. MCP Tool Architecture<a class=headerlink href=#11-mcp-tool-architecture title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>graph TB
-    subgraph "Agent Layer"
-        Manager[Magentic Manager]
-        HypAgent[Hypothesis Agent]
-        SearchAgent[Search Agent]
-        AnalysisAgent[Analysis Agent]
-        ReportAgent[Report Agent]
-    end
-
-    subgraph "MCP Protocol Layer"
-        Registry[MCP Tool Registry&lt;br/&gt;• Discovers tools&lt;br/&gt;• Routes requests&lt;br/&gt;• Manages connections]
-    end
-
-    subgraph "MCP Servers"
-        Server1[Web Search Server&lt;br/&gt;localhost:8001&lt;br/&gt;• PubMed&lt;br/&gt;• arXiv&lt;br/&gt;• bioRxiv]
-        Server2[Code Execution Server&lt;br/&gt;localhost:8002&lt;br/&gt;• Sandboxed Python&lt;br/&gt;• Package management]
-        Server3[RAG Server&lt;br/&gt;localhost:8003&lt;br/&gt;• Vector embeddings&lt;br/&gt;• Similarity search]
-        Server4[Visualization Server&lt;br/&gt;localhost:8004&lt;br/&gt;• Chart generation&lt;br/&gt;• Plot rendering]
-    end
-
-    subgraph "External Services"
-        PubMed[PubMed API]
-        ArXiv[arXiv API]
-        BioRxiv[bioRxiv API]
-        Modal[Modal Sandbox]
-        ChromaDB[(ChromaDB)]
-    end
-
-    SearchAgent --&gt;|Request| Registry
-    AnalysisAgent --&gt;|Request| Registry
-    ReportAgent --&gt;|Request| Registry
-
-    Registry --&gt; Server1
-    Registry --&gt; Server2
-    Registry --&gt; Server3
-    Registry --&gt; Server4
-
-    Server1 --&gt; PubMed
-    Server1 --&gt; ArXiv
-    Server1 --&gt; BioRxiv
-    Server2 --&gt; Modal
-    Server3 --&gt; ChromaDB
-
-    style Manager fill:#ffe6e6
-    style Registry fill:#fff4e6
-    style Server1 fill:#e6f3ff
-    style Server2 fill:#e6f3ff
-    style Server3 fill:#e6f3ff
-    style Server4 fill:#e6f3ff</code></pre> <h2 id=12-progress-tracking--stall-detection>12. Progress Tracking &amp; Stall Detection<a class=headerlink href=#12-progress-tracking--stall-detection title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>stateDiagram-v2
-    [*] --&gt; Initialization: User Query
-
-    Initialization --&gt; Planning: Manager starts
-
-    Planning --&gt; AgentExecution: Select agent
-
-    AgentExecution --&gt; Assessment: Collect results
-
-    Assessment --&gt; QualityCheck: Evaluate output
-
-    QualityCheck --&gt; AgentExecution: Poor quality&lt;br/&gt;(retry &lt; max_rounds)
-    QualityCheck --&gt; Planning: Poor quality&lt;br/&gt;(try different agent)
-    QualityCheck --&gt; NextAgent: Good quality&lt;br/&gt;(task incomplete)
-    QualityCheck --&gt; Synthesis: Good quality&lt;br/&gt;(task complete)
-
-    NextAgent --&gt; AgentExecution: Select next agent
-
-    state StallDetection &lt;&lt;choice&gt;&gt;
-    Assessment --&gt; StallDetection: Check progress
-    StallDetection --&gt; Planning: No progress&lt;br/&gt;(stall count &lt; max)
-    StallDetection --&gt; ErrorRecovery: No progress&lt;br/&gt;(max stalls reached)
-
-    ErrorRecovery --&gt; PartialReport: Generate partial results
-    PartialReport --&gt; [*]
-
-    Synthesis --&gt; FinalReport: Combine all outputs
-    FinalReport --&gt; [*]
-
-    note right of QualityCheck
-        Manager assesses:
-        • Output completeness
-        • Quality metrics
-        • Progress made
-    end note
-
-    note right of StallDetection
-        Stall = no new progress
-        after agent execution
-        Triggers plan reset
-    end note</code></pre> <h2 id=13-gradio-ui-integration>13. Gradio UI Integration<a class=headerlink href=#13-gradio-ui-integration title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>graph TD
-    App[Gradio App&lt;br/&gt;DeepCritical Research Agent]
-
-    App --&gt; Input[Input Section]
-    App --&gt; Status[Status Section]
-    App --&gt; Output[Output Section]
-
-    Input --&gt; Query[Research Question&lt;br/&gt;Text Area]
-    Input --&gt; Controls[Controls]
-    Controls --&gt; MaxHyp[Max Hypotheses: 1-10]
-    Controls --&gt; MaxRounds[Max Rounds: 5-20]
-    Controls --&gt; Submit[Start Research Button]
-
-    Status --&gt; Log[Real-time Event Log&lt;br/&gt;• Manager planning&lt;br/&gt;• Agent selection&lt;br/&gt;• Execution updates&lt;br/&gt;• Quality assessment]
-    Status --&gt; Progress[Progress Tracker&lt;br/&gt;• Current agent&lt;br/&gt;• Round count&lt;br/&gt;• Stall count]
-
-    Output --&gt; Tabs[Tabbed Results]
-    Tabs --&gt; Tab1[Hypotheses Tab&lt;br/&gt;Generated hypotheses with scores]
-    Tabs --&gt; Tab2[Search Results Tab&lt;br/&gt;Papers &amp; sources found]
-    Tabs --&gt; Tab3[Analysis Tab&lt;br/&gt;Evidence &amp; verdicts]
-    Tabs --&gt; Tab4[Report Tab&lt;br/&gt;Final research report]
-    Tab4 --&gt; Download[Download Report&lt;br/&gt;MD / PDF / JSON]
-
-    Submit -.-&gt;|Triggers| Workflow[Magentic Workflow]
-    Workflow -.-&gt;|MagenticOrchestratorMessageEvent| Log
-    Workflow -.-&gt;|MagenticAgentDeltaEvent| Log
-    Workflow -.-&gt;|MagenticAgentMessageEvent| Log
-    Workflow -.-&gt;|MagenticFinalResultEvent| Tab4
-
-    style App fill:#e1f5e1
-    style Input fill:#fff4e6
-    style Status fill:#e6f3ff
-    style Output fill:#e6ffe6
-    style Workflow fill:#ffe6e6</code></pre> <h2 id=14-complete-system-context>14. Complete System Context<a class=headerlink href=#14-complete-system-context title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>graph LR
-    User[👤 Researcher&lt;br/&gt;Asks research questions] --&gt;|Submits query| DC[DeepCritical&lt;br/&gt;Magentic Workflow]
-
-    DC --&gt;|Literature search| PubMed[PubMed API&lt;br/&gt;Medical papers]
-    DC --&gt;|Preprint search| ArXiv[arXiv API&lt;br/&gt;Scientific preprints]
-    DC --&gt;|Biology search| BioRxiv[bioRxiv API&lt;br/&gt;Biology preprints]
-    DC --&gt;|Agent reasoning| Claude[Claude API&lt;br/&gt;Sonnet 4 / Opus]
-    DC --&gt;|Code execution| Modal[Modal Sandbox&lt;br/&gt;Safe Python env]
-    DC --&gt;|Vector storage| Chroma[ChromaDB&lt;br/&gt;Embeddings &amp; RAG]
-
-    DC --&gt;|Deployed on| HF[HuggingFace Spaces&lt;br/&gt;Gradio 6.0]
-
-    PubMed --&gt;|Results| DC
-    ArXiv --&gt;|Results| DC
-    BioRxiv --&gt;|Results| DC
-    Claude --&gt;|Responses| DC
-    Modal --&gt;|Output| DC
-    Chroma --&gt;|Context| DC
-
-    DC --&gt;|Research report| User
-
-    style User fill:#e1f5e1
-    style DC fill:#ffe6e6
-    style PubMed fill:#e6f3ff
-    style ArXiv fill:#e6f3ff
-    style BioRxiv fill:#e6f3ff
-    style Claude fill:#ffd6d6
-    style Modal fill:#f0f0f0
-    style Chroma fill:#ffe6f0
-    style HF fill:#d4edda</code></pre> <h2 id=15-workflow-timeline-simplified>15. Workflow Timeline (Simplified)<a class=headerlink href=#15-workflow-timeline-simplified title="Anchor link to this section">¶</a></h2> <pre class=mermaid><code>gantt
-    title DeepCritical Magentic Workflow - Typical Execution
-    dateFormat mm:ss
-    axisFormat %M:%S
-
-    section Manager Planning
-    Initial planning         :p1, 00:00, 10s
-
-    section Hypothesis Agent
-    Generate hypotheses      :h1, after p1, 30s
-    Manager assessment       :h2, after h1, 5s
-
-    section Search Agent
-    Search hypothesis 1      :s1, after h2, 20s
-    Search hypothesis 2      :s2, after s1, 20s
-    Search hypothesis 3      :s3, after s2, 20s
-    RAG processing          :s4, after s3, 15s
-    Manager assessment      :s5, after s4, 5s
-
-    section Analysis Agent
-    Evidence extraction     :a1, after s5, 15s
-    Code generation        :a2, after a1, 20s
-    Code execution         :a3, after a2, 25s
-    Synthesis              :a4, after a3, 20s
-    Manager assessment     :a5, after a4, 5s
-
-    section Report Agent
-    Report assembly        :r1, after a5, 30s
-    Visualization          :r2, after r1, 15s
-    Formatting             :r3, after r2, 10s
-
-    section Manager Synthesis
-    Final synthesis        :f1, after r3, 10s</code></pre> <hr> <h2 id=key-differences-from-original-design>Key Differences from Original Design<a class=headerlink href=#key-differences-from-original-design title="Anchor link to this section">¶</a></h2> <table> <thead> <tr> <th>Aspect</th> <th>Original (Judge-in-Loop)</th> <th>New (Magentic)</th> </tr> </thead> <tbody> <tr> <td><strong>Control Flow</strong></td> <td>Fixed sequential phases</td> <td>Dynamic agent selection</td> </tr> <tr> <td><strong>Quality Control</strong></td> <td>Separate Judge Agent</td> <td>Manager assessment built-in</td> </tr> <tr> <td><strong>Retry Logic</strong></td> <td>Phase-level with feedback</td> <td>Agent-level with adaptation</td> </tr> <tr> <td><strong>Flexibility</strong></td> <td>Rigid 4-phase pipeline</td> <td>Adaptive workflow</td> </tr> <tr> <td><strong>Complexity</strong></td> <td>5 agents (including Judge)</td> <td>4 agents (no Judge)</td> </tr> <tr> <td><strong>Progress Tracking</strong></td> <td>Manual state management</td> <td>Built-in round/stall detection</td> </tr> <tr> <td><strong>Agent Coordination</strong></td> <td>Sequential handoff</td> <td>Manager-driven dynamic selection</td> </tr> <tr> <td><strong>Error Recovery</strong></td> <td>Retry same phase</td> <td>Try different agent or replan</td> </tr> </tbody> </table> <hr> <h2 id=simplified-design-principles>Simplified Design Principles<a class=headerlink href=#simplified-design-principles title="Anchor link to this section">¶</a></h2> <ol> <li><strong>Manager is Intelligent</strong>: LLM-powered manager handles planning, selection, and quality assessment</li> <li><strong>No Separate Judge</strong>: Manager's assessment phase replaces dedicated Judge Agent</li> <li><strong>Dynamic Workflow</strong>: Agents can be called multiple times in any order based on need</li> <li><strong>Built-in Safety</strong>: max_round_count (15) and max_stall_count (3) prevent infinite loops</li> <li><strong>Event-Driven UI</strong>: Real-time streaming updates to Gradio interface</li> <li><strong>MCP-Powered Tools</strong>: All external capabilities via Model Context Protocol</li> <li><strong>Shared Context</strong>: Centralized state accessible to all agents</li> <li><strong>Progress Awareness</strong>: Manager tracks what's been done and what's needed</li> </ol> <hr> <h2 id=legend>Legend<a class=headerlink href=#legend title="Anchor link to this section">¶</a></h2> <ul> <li>🔴 <strong>Red/Pink</strong>: Manager, orchestration, decision-making</li> <li>🟡 <strong>Yellow/Orange</strong>: Specialist agents, processing</li> <li>🔵 <strong>Blue</strong>: Data, tools, MCP services</li> <li>🟣 <strong>Purple/Pink</strong>: Storage, databases, state</li> <li>🟢 <strong>Green</strong>: User interactions, final outputs</li> <li>⚪ <strong>Gray</strong>: External services, APIs</li> </ul> <hr> <h2 id=implementation-highlights>Implementation Highlights<a class=headerlink href=#implementation-highlights title="Anchor link to this section">¶</a></h2> <p><strong>Simple 4-Agent Setup:</strong></p> <p><strong>Manager handles quality assessment in its instructions:</strong> - Checks hypothesis quality (testable, novel, clear) - Validates search results (relevant, authoritative, recent) - Assesses analysis soundness (methodology, evidence, conclusions) - Ensures report completeness (all sections, proper citations)</p> <p>No separate Judge Agent needed - manager does it all!</p> <hr> <p><strong>Document Version</strong>: 2.0 (Magentic Simplified) <strong>Last Updated</strong>: 2025-11-24 <strong>Architecture</strong>: Microsoft Magentic Orchestration Pattern <strong>Agents</strong>: 4 (Hypothesis, Search, Analysis, Report) + 1 Manager <strong>License</strong>: MIT</p> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">¶</a></h2> <ul> <li><a href=../orchestrators/ >Orchestrators</a> - Overview of all orchestrator patterns</li> <li><a href=../graph_orchestration/ >Graph Orchestration</a> - Graph-based execution overview</li> <li><a href=../../api/orchestrators/ >API Reference - Orchestrators</a> - API documentation</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"></path></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"></path></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 22:24:36 UTC"><span class=timeago datetime=2025-11-29T22:24:36+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 22:24:36 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button class="md-top md-icon" data-md-component=top hidden type=button> <svg viewbox="0 0 24 24" xmlns=http://www.w3.org/2000/svg><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"></path></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright © 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ rel=noopener target=_blank> Material for MkDocs </a> </div> <div class=md-social> <a class=md-social__link href=https://github.com/DeepCritical/GradioDemo rel=noopener target=_blank title=GitHub> <svg viewbox="0 0 512 512" xmlns=http://www.w3.org/2000/svg><!-- Font Awesome Free 7.1.0 by @fontawesome - 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text{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.classLabel .box{fill:var(--md-mermaid-label-bg-color);background-color:var(--md-mermaid-label-bg-color);opacity:1}.classLabel .label{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.node .divider{stroke:var(--md-mermaid-node-fg-color)}.relation{stroke:var(--md-mermaid-edge-color)}.cardinality{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.cardinality text{fill:inherit!important}defs marker.marker.composition.class path,defs marker.marker.dependency.class path,defs marker.marker.extension.class path{fill:var(--md-mermaid-edge-color)!important;stroke:var(--md-mermaid-edge-color)!important}defs marker.marker.aggregation.class path{fill:var(--md-mermaid-label-bg-color)!important;stroke:var(--md-mermaid-edge-color)!important}.statediagramTitleText{fill:var(--md-mermaid-label-fg-color)}g.stateGroup rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}g.stateGroup .state-title{fill:var(--md-mermaid-label-fg-color)!important;font-family:var(--md-mermaid-font-family)}g.stateGroup .composit{fill:var(--md-mermaid-label-bg-color)}.nodeLabel,.nodeLabel p{color:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}a .nodeLabel{text-decoration:underline}.node circle.state-end,.node circle.state-start,.start-state{fill:var(--md-mermaid-edge-color);stroke:none}.end-state-inner,.end-state-outer{fill:var(--md-mermaid-edge-color)}.end-state-inner,.node circle.state-end{stroke:var(--md-mermaid-label-bg-color)}.transition{stroke:var(--md-mermaid-edge-color)}[id^=state-fork] rect,[id^=state-join] rect{fill:var(--md-mermaid-edge-color)!important;stroke:none!important}.statediagram-cluster.statediagram-cluster .inner{fill:var(--md-default-bg-color)}.statediagram-cluster rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}.statediagram-state rect.divider{fill:var(--md-default-fg-color--lightest);stroke:var(--md-default-fg-color--lighter)}defs #statediagram-barbEnd{stroke:var(--md-mermaid-edge-color)}[id^=entity] path,[id^=entity] rect{fill:var(--md-default-bg-color)}.relationshipLine{stroke:var(--md-mermaid-edge-color)}defs .marker.oneOrMore.er *,defs .marker.onlyOne.er *,defs .marker.zeroOrMore.er *,defs .marker.zeroOrOne.er *{stroke:var(--md-mermaid-edge-color)!important}text:not([class]):last-child{fill:var(--md-mermaid-label-fg-color)}.actor{fill:var(--md-mermaid-sequence-actor-bg-color);stroke:var(--md-mermaid-sequence-actor-border-color)}text.actor>tspan{fill:var(--md-mermaid-sequence-actor-fg-color);font-family:var(--md-mermaid-font-family)}line{stroke:var(--md-mermaid-sequence-actor-line-color)}.actor-man circle,.actor-man line{fill:var(--md-mermaid-sequence-actorman-bg-color);stroke:var(--md-mermaid-sequence-actorman-line-color)}.messageLine0,.messageLine1{stroke:var(--md-mermaid-sequence-message-line-color)}.note{fill:var(--md-mermaid-sequence-note-bg-color);stroke:var(--md-mermaid-sequence-note-border-color)}.loopText,.loopText>tspan,.messageText,.noteText>tspan{stroke:none;font-family:var(--md-mermaid-font-family)!important}.messageText{fill:var(--md-mermaid-sequence-message-fg-color)}.loopText,.loopText>tspan{fill:var(--md-mermaid-sequence-loop-fg-color)}.noteText>tspan{fill:var(--md-mermaid-sequence-note-fg-color)}#arrowhead 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T,c=a.pipe(oe(),ae(!0));z([a,Le(e),mt(e)]).pipe(W(c),$e(1,ye)).subscribe({next([{active:p},l]){let f=Be(p),{width:u}=de(p);e.style.setProperty("--md-indicator-x",`${f.x}px`),e.style.setProperty("--md-indicator-width",`${u}px`);let d=gr(o);(f.x<d.x||f.x+u>d.x+l.width)&&o.scrollTo({left:Math.max(0,f.x-16),behavior:"smooth"})},complete(){e.style.removeProperty("--md-indicator-x"),e.style.removeProperty("--md-indicator-width")}}),z([Ge(o),Le(o)]).pipe(W(c)).subscribe(([p,l])=>{let f=At(o);i.hidden=p.x<16,s.hidden=p.x>f.width-l.width-16}),L(h(i,"click").pipe(m(()=>-1)),h(s,"click").pipe(m(()=>1))).pipe(W(c)).subscribe(p=>{let{width:l}=de(o);o.scrollBy({left:l*p,behavior:"smooth"})}),r.pipe(W(c),g(p=>n.includes(p))).subscribe(p=>p.click()),o.classList.add("tabbed-labels--linked");for(let p of n){let 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t.pipe(b(r=>L($(!0),$(!1).pipe(nt(2e3))).pipe(m(o=>({message:r,active:o})))))}function ni(e,t){let r=j(".md-typeset",e);return H(()=>{let o=new T;return o.subscribe(({message:n,active:i})=>{e.classList.toggle("md-dialog--active",i),r.textContent=n}),cs(e,t).pipe(O(n=>o.next(n)),A(()=>o.complete()),m(n=>P({ref:e},n)))})}var ps=0;function ls(e,t){document.body.append(e);let{width:r}=de(e);e.style.setProperty("--md-tooltip-width",`${r}px`),e.remove();let o=vr(t),n=typeof o!="undefined"?Ge(o):$({x:0,y:0}),i=L(Ye(t),it(t)).pipe(Y());return z([i,n]).pipe(m(([s,a])=>{let{x:c,y:p}=Be(t),l=de(t),f=t.closest("table");return f&&t.parentElement&&(c+=f.offsetLeft+t.parentElement.offsetLeft,p+=f.offsetTop+t.parentElement.offsetTop),{active:s,offset:{x:c-a.x+l.width/2-r/2,y:p-a.y+l.height+8}}}))}function ii(e){let t=e.title;if(!t.length)return y;let r=`__tooltip_${ps++}`,o=Dt(r,"inline"),n=j(".md-typeset",o);return n.innerHTML=t,H(()=>{let i=new T;return 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ms({viewport$:e}){if(!V("header.autohide"))return $(!1);let t=e.pipe(m(({offset:{y:n}})=>n),ot(2,1),m(([n,i])=>[n<i,i]),ne(0)),r=z([e,t]).pipe(g(([{offset:n},[,i]])=>Math.abs(i-n.y)>100),m(([,[n]])=>n),Y()),o=Je("search");return z([e,o]).pipe(m(([{offset:n},i])=>n.y>400&&!i),Y(),b(n=>n?r:$(!1)),Q(!1))}function ai(e,t){return H(()=>z([Le(e),ms(t)])).pipe(m(([{height:r},o])=>({height:r,hidden:o})),Y((r,o)=>r.height===o.height&&r.hidden===o.hidden),Z(1))}function si(e,{header$:t,main$:r}){return H(()=>{let o=new T,n=o.pipe(oe(),ae(!0));o.pipe(ne("active"),Pe(t)).subscribe(([{active:s},{hidden:a}])=>{e.classList.toggle("md-header--shadow",s&&!a),e.hidden=a});let i=fe(M("[title]",e)).pipe(g(()=>V("content.tooltips")),J(s=>ii(s)));return r.subscribe(o),t.pipe(W(n),m(s=>P({ref:e},s)),Ve(i.pipe(W(n))))})}function fs(e,{viewport$:t,header$:r}){return Er(e,{viewport$:t,header$:r}).pipe(m(({offset:{y:o}})=>{let{height:n}=de(e);return{active:n>0&&o>=n}}),ne("active"))}function ci(e,t){return H(()=>{let r=new T;r.subscribe({next({active:n}){e.classList.toggle("md-header__title--active",n)},complete(){e.classList.remove("md-header__title--active")}});let o=ue(".md-content h1");return typeof o=="undefined"?y:fs(o,t).pipe(O(n=>r.next(n)),A(()=>r.complete()),m(n=>P({ref:e},n)))})}function pi(e,{viewport$:t,header$:r}){let o=r.pipe(m(({height:i})=>i),Y()),n=o.pipe(b(()=>Le(e).pipe(m(({height:i})=>({top:e.offsetTop,bottom:e.offsetTop+i})),ne("bottom"))));return z([o,n,t]).pipe(m(([i,{top:s,bottom:a},{offset:{y:c},size:{height:p}}])=>(p=Math.max(0,p-Math.max(0,s-c,i)-Math.max(0,p+c-a)),{offset:s-i,height:p,active:s-i<=c})),Y((i,s)=>i.offset===s.offset&&i.height===s.height&&i.active===s.active))}function us(e){let t=__md_get("__palette")||{index:e.findIndex(o=>matchMedia(o.getAttribute("data-md-color-media")).matches)},r=Math.max(0,Math.min(t.index,e.length-1));return 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u=l.offsetTop-f.offsetTop,{height:d}=de(f);f.scrollTo({top:u-d/2,behavior:p})}}})}return V("navigation.tracking")&&t.pipe(W(s),ne("offset"),Ae(250),Ie(1),W(n.pipe(Ie(1))),vt({delay:250}),te(i)).subscribe(([,{prev:a}])=>{let c=we(),p=a[a.length-1];if(p&&p.length){let[l]=p,{hash:f}=new URL(l.href);c.hash!==f&&(c.hash=f,history.replaceState({},"",`${c}`))}else c.hash="",history.replaceState({},"",`${c}`)}),_s(e,{viewport$:t,header$:r}).pipe(O(a=>i.next(a)),A(()=>i.complete()),m(a=>P({ref:e},a)))})}function As(e,{viewport$:t,main$:r,target$:o}){let n=t.pipe(m(({offset:{y:s}})=>s),ot(2,1),m(([s,a])=>s>a&&a>0),Y()),i=r.pipe(m(({active:s})=>s));return z([i,n]).pipe(m(([s,a])=>!(s&&a)),Y(),W(o.pipe(Ie(1))),ae(!0),vt({delay:250}),m(s=>({hidden:s})))}function Ii(e,{viewport$:t,header$:r,main$:o,target$:n}){let i=new T,s=i.pipe(oe(),ae(!0));return i.subscribe({next({hidden:a}){e.hidden=a,a?(e.setAttribute("tabindex","-1"),e.blur()):e.removeAttribute("tabindex")},complete(){e.style.top="",e.hidden=!0,e.removeAttribute("tabindex")}}),r.pipe(W(s),ne("height")).subscribe(({height:a})=>{e.style.top=`${a+16}px`}),h(e,"click").subscribe(a=>{a.preventDefault(),window.scrollTo({top:0})}),As(e,{viewport$:t,main$:o,target$:n}).pipe(O(a=>i.next(a)),A(()=>i.complete()),m(a=>P({ref:e},a)))}function Fi({document$:e,viewport$:t}){e.pipe(b(()=>M(".md-ellipsis")),J(r=>mt(r).pipe(W(e.pipe(Ie(1))),g(o=>o),m(()=>r),Ee(1))),g(r=>r.offsetWidth<r.scrollWidth),J(r=>{let o=r.innerText,n=r.closest("a")||r;return n.title=o,V("content.tooltips")?Xe(n,{viewport$:t}).pipe(W(e.pipe(Ie(1))),A(()=>n.removeAttribute("title"))):y})).subscribe(),V("content.tooltips")&&e.pipe(b(()=>M(".md-status")),J(r=>Xe(r,{viewport$:t}))).subscribe()}function ji({document$:e,tablet$:t}){e.pipe(b(()=>M(".md-toggle--indeterminate")),O(r=>{r.indeterminate=!0,r.checked=!1}),J(r=>h(r,"change").pipe(Jr(()=>r.classList.contains("md-toggle--indeterminate")),m(()=>r))),te(t)).subscribe(([r,o])=>{r.classList.remove("md-toggle--indeterminate"),o&&(r.checked=!1)})}function Cs(){return/(iPad|iPhone|iPod)/.test(navigator.userAgent)}function Ui({document$:e}){e.pipe(b(()=>M("[data-md-scrollfix]")),O(t=>t.removeAttribute("data-md-scrollfix")),g(Cs),J(t=>h(t,"touchstart").pipe(m(()=>t)))).subscribe(t=>{let r=t.scrollTop;r===0?t.scrollTop=1:r+t.offsetHeight===t.scrollHeight&&(t.scrollTop=r-1)})}function Wi({viewport$:e,tablet$:t}){z([Je("search"),t]).pipe(m(([r,o])=>r&&!o),b(r=>$(r).pipe(nt(r?400:100))),te(e)).subscribe(([r,{offset:{y:o}}])=>{if(r)document.body.setAttribute("data-md-scrolllock",""),document.body.style.top=`-${o}px`;else{let n=-1*parseInt(document.body.style.top,10);document.body.removeAttribute("data-md-scrolllock"),document.body.style.top="",n&&window.scrollTo(0,n)}})}Object.entries||(Object.entries=function(e){let t=[];for(let r of Object.keys(e))t.push([r,e[r]]);return t});Object.values||(Object.values=function(e){let t=[];for(let r of Object.keys(e))t.push(e[r]);return t});typeof Element!="undefined"&&(Element.prototype.scrollTo||(Element.prototype.scrollTo=function(e,t){typeof e=="object"?(this.scrollLeft=e.left,this.scrollTop=e.top):(this.scrollLeft=e,this.scrollTop=t)}),Element.prototype.replaceWith||(Element.prototype.replaceWith=function(...e){let t=this.parentNode;if(t){e.length===0&&t.removeChild(this);for(let r=e.length-1;r>=0;r--){let o=e[r];typeof o=="string"?o=document.createTextNode(o):o.parentNode&&o.parentNode.removeChild(o),r?t.insertBefore(this.previousSibling,o):t.replaceChild(o,this)}}}));function ks(){return location.protocol==="file:"?_t(`${new URL("search/search_index.js",Or.base)}`).pipe(m(()=>__index),Z(1)):ze(new URL("search/search_index.json",Or.base))}document.documentElement.classList.remove("no-js");document.documentElement.classList.add("js");var ct=an(),Kt=bn(),Ht=yn(Kt),mo=hn(),ke=Ln(),Lr=Wt("(min-width: 60em)"),Vi=Wt("(min-width: 76.25em)"),Ni=xn(),Or=Te(),zi=document.forms.namedItem("search")?ks():tt,fo=new T;di({alert$:fo});ui({document$:ct});var uo=new T,qi=kt(Or.base);V("navigation.instant")&&gi({sitemap$:qi,location$:Kt,viewport$:ke,progress$:uo}).subscribe(ct);var Di;((Di=Or.version)==null?void 0:Di.provider)==="mike"&&Ti({document$:ct});L(Kt,Ht).pipe(nt(125)).subscribe(()=>{at("drawer",!1),at("search",!1)});mo.pipe(g(({mode:e})=>e==="global")).subscribe(e=>{switch(e.type){case"p":case",":let t=ue("link[rel=prev]");typeof t!="undefined"&&st(t);break;case"n":case".":let r=ue("link[rel=next]");typeof r!="undefined"&&st(r);break;case"Enter":let o=Ne();o instanceof HTMLLabelElement&&o.click()}});Fi({viewport$:ke,document$:ct});ji({document$:ct,tablet$:Lr});Ui({document$:ct});Wi({viewport$:ke,tablet$:Lr});var ft=ai(Ce("header"),{viewport$:ke}),qt=ct.pipe(m(()=>Ce("main")),b(e=>pi(e,{viewport$:ke,header$:ft})),Z(1)),Hs=L(...me("consent").map(e=>An(e,{target$:Ht})),...me("dialog").map(e=>ni(e,{alert$:fo})),...me("palette").map(e=>li(e)),...me("progress").map(e=>mi(e,{progress$:uo})),...me("search").map(e=>_i(e,{index$:zi,keyboard$:mo})),...me("source").map(e=>$i(e))),$s=H(()=>L(...me("announce").map(e=>_n(e)),...me("content").map(e=>oi(e,{sitemap$:qi,viewport$:ke,target$:Ht,print$:Ni})),...me("content").map(e=>V("search.highlight")?Ai(e,{index$:zi,location$:Kt}):y),...me("header").map(e=>si(e,{viewport$:ke,header$:ft,main$:qt})),...me("header-title").map(e=>ci(e,{viewport$:ke,header$:ft})),...me("sidebar").map(e=>e.getAttribute("data-md-type")==="navigation"?eo(Vi,()=>lo(e,{viewport$:ke,header$:ft,main$:qt})):eo(Lr,()=>lo(e,{viewport$:ke,header$:ft,main$:qt}))),...me("tabs").map(e=>Pi(e,{viewport$:ke,header$:ft})),...me("toc").map(e=>Ri(e,{viewport$:ke,header$:ft,main$:qt,target$:Ht})),...me("top").map(e=>Ii(e,{viewport$:ke,header$:ft,main$:qt,target$:Ht})))),Ki=ct.pipe(b(()=>$s),Ve(Hs),Z(1));Ki.subscribe();window.document$=ct;window.location$=Kt;window.target$=Ht;window.keyboard$=mo;window.viewport$=ke;window.tablet$=Lr;window.screen$=Vi;window.print$=Ni;window.alert$=fo;window.progress$=uo;window.component$=Ki;})();
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diff --git a/site/assets/javascripts/bundle.e71a0d61.min.js.map b/site/assets/javascripts/bundle.e71a0d61.min.js.map
deleted file mode 100644
index 23451b54d11b39ef33a5f94d16d9e351dec9972c..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/bundle.e71a0d61.min.js.map
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "version": 3,
-  "sources": ["node_modules/focus-visible/dist/focus-visible.js", "node_modules/escape-html/index.js", "node_modules/clipboard/dist/clipboard.js", "src/templates/assets/javascripts/bundle.ts", "node_modules/tslib/tslib.es6.mjs", "node_modules/rxjs/src/internal/util/isFunction.ts", "node_modules/rxjs/src/internal/util/createErrorClass.ts", "node_modules/rxjs/src/internal/util/UnsubscriptionError.ts", "node_modules/rxjs/src/internal/util/arrRemove.ts", "node_modules/rxjs/src/internal/Subscription.ts", "node_modules/rxjs/src/internal/config.ts", "node_modules/rxjs/src/internal/scheduler/timeoutProvider.ts", "node_modules/rxjs/src/internal/util/reportUnhandledError.ts", "node_modules/rxjs/src/internal/util/noop.ts", "node_modules/rxjs/src/internal/NotificationFactories.ts", "node_modules/rxjs/src/internal/util/errorContext.ts", "node_modules/rxjs/src/internal/Subscriber.ts", "node_modules/rxjs/src/internal/symbol/observable.ts", "node_modules/rxjs/src/internal/util/identity.ts", "node_modules/rxjs/src/internal/util/pipe.ts", "node_modules/rxjs/src/internal/Observable.ts", "node_modules/rxjs/src/internal/util/lift.ts", "node_modules/rxjs/src/internal/operators/OperatorSubscriber.ts", "node_modules/rxjs/src/internal/scheduler/animationFrameProvider.ts", "node_modules/rxjs/src/internal/util/ObjectUnsubscribedError.ts", "node_modules/rxjs/src/internal/Subject.ts", "node_modules/rxjs/src/internal/BehaviorSubject.ts", "node_modules/rxjs/src/internal/scheduler/dateTimestampProvider.ts", "node_modules/rxjs/src/internal/ReplaySubject.ts", "node_modules/rxjs/src/internal/scheduler/Action.ts", "node_modules/rxjs/src/internal/scheduler/intervalProvider.ts", "node_modules/rxjs/src/internal/scheduler/AsyncAction.ts", "node_modules/rxjs/src/internal/Scheduler.ts", "node_modules/rxjs/src/internal/scheduler/AsyncScheduler.ts", "node_modules/rxjs/src/internal/scheduler/async.ts", "node_modules/rxjs/src/internal/scheduler/QueueAction.ts", "node_modules/rxjs/src/internal/scheduler/QueueScheduler.ts", "node_modules/rxjs/src/internal/scheduler/queue.ts", "node_modules/rxjs/src/internal/scheduler/AnimationFrameAction.ts", "node_modules/rxjs/src/internal/scheduler/AnimationFrameScheduler.ts", "node_modules/rxjs/src/internal/scheduler/animationFrame.ts", "node_modules/rxjs/src/internal/observable/empty.ts", "node_modules/rxjs/src/internal/util/isScheduler.ts", "node_modules/rxjs/src/internal/util/args.ts", "node_modules/rxjs/src/internal/util/isArrayLike.ts", "node_modules/rxjs/src/internal/util/isPromise.ts", "node_modules/rxjs/src/internal/util/isInteropObservable.ts", "node_modules/rxjs/src/internal/util/isAsyncIterable.ts", "node_modules/rxjs/src/internal/util/throwUnobservableError.ts", "node_modules/rxjs/src/internal/symbol/iterator.ts", "node_modules/rxjs/src/internal/util/isIterable.ts", "node_modules/rxjs/src/internal/util/isReadableStreamLike.ts", "node_modules/rxjs/src/internal/observable/innerFrom.ts", "node_modules/rxjs/src/internal/util/executeSchedule.ts", "node_modules/rxjs/src/internal/operators/observeOn.ts", "node_modules/rxjs/src/internal/operators/subscribeOn.ts", "node_modules/rxjs/src/internal/scheduled/scheduleObservable.ts", "node_modules/rxjs/src/internal/scheduled/schedulePromise.ts", "node_modules/rxjs/src/internal/scheduled/scheduleArray.ts", "node_modules/rxjs/src/internal/scheduled/scheduleIterable.ts", "node_modules/rxjs/src/internal/scheduled/scheduleAsyncIterable.ts", "node_modules/rxjs/src/internal/scheduled/scheduleReadableStreamLike.ts", "node_modules/rxjs/src/internal/scheduled/scheduled.ts", "node_modules/rxjs/src/internal/observable/from.ts", "node_modules/rxjs/src/internal/observable/of.ts", "node_modules/rxjs/src/internal/observable/throwError.ts", "node_modules/rxjs/src/internal/util/EmptyError.ts", "node_modules/rxjs/src/internal/util/isDate.ts", "node_modules/rxjs/src/internal/operators/map.ts", "node_modules/rxjs/src/internal/util/mapOneOrManyArgs.ts", "node_modules/rxjs/src/internal/util/argsArgArrayOrObject.ts", "node_modules/rxjs/src/internal/util/createObject.ts", "node_modules/rxjs/src/internal/observable/combineLatest.ts", "node_modules/rxjs/src/internal/operators/mergeInternals.ts", "node_modules/rxjs/src/internal/operators/mergeMap.ts", "node_modules/rxjs/src/internal/operators/mergeAll.ts", "node_modules/rxjs/src/internal/operators/concatAll.ts", "node_modules/rxjs/src/internal/observable/concat.ts", "node_modules/rxjs/src/internal/observable/defer.ts", "node_modules/rxjs/src/internal/observable/fromEvent.ts", "node_modules/rxjs/src/internal/observable/fromEventPattern.ts", "node_modules/rxjs/src/internal/observable/timer.ts", "node_modules/rxjs/src/internal/observable/merge.ts", "node_modules/rxjs/src/internal/observable/never.ts", "node_modules/rxjs/src/internal/util/argsOrArgArray.ts", "node_modules/rxjs/src/internal/operators/filter.ts", "node_modules/rxjs/src/internal/observable/zip.ts", "node_modules/rxjs/src/internal/operators/audit.ts", "node_modules/rxjs/src/internal/operators/auditTime.ts", "node_modules/rxjs/src/internal/operators/bufferCount.ts", "node_modules/rxjs/src/internal/operators/catchError.ts", "node_modules/rxjs/src/internal/operators/scanInternals.ts", "node_modules/rxjs/src/internal/operators/combineLatest.ts", "node_modules/rxjs/src/internal/operators/combineLatestWith.ts", "node_modules/rxjs/src/internal/operators/debounce.ts", "node_modules/rxjs/src/internal/operators/debounceTime.ts", "node_modules/rxjs/src/internal/operators/defaultIfEmpty.ts", "node_modules/rxjs/src/internal/operators/take.ts", "node_modules/rxjs/src/internal/operators/ignoreElements.ts", "node_modules/rxjs/src/internal/operators/mapTo.ts", "node_modules/rxjs/src/internal/operators/delayWhen.ts", "node_modules/rxjs/src/internal/operators/delay.ts", "node_modules/rxjs/src/internal/operators/distinct.ts", "node_modules/rxjs/src/internal/operators/distinctUntilChanged.ts", "node_modules/rxjs/src/internal/operators/distinctUntilKeyChanged.ts", "node_modules/rxjs/src/internal/operators/throwIfEmpty.ts", "node_modules/rxjs/src/internal/operators/endWith.ts", "node_modules/rxjs/src/internal/operators/exhaustMap.ts", "node_modules/rxjs/src/internal/operators/finalize.ts", "node_modules/rxjs/src/internal/operators/first.ts", "node_modules/rxjs/src/internal/operators/takeLast.ts", "node_modules/rxjs/src/internal/operators/merge.ts", "node_modules/rxjs/src/internal/operators/mergeWith.ts", "node_modules/rxjs/src/internal/operators/repeat.ts", "node_modules/rxjs/src/internal/operators/scan.ts", "node_modules/rxjs/src/internal/operators/share.ts", "node_modules/rxjs/src/internal/operators/shareReplay.ts", "node_modules/rxjs/src/internal/operators/skip.ts", "node_modules/rxjs/src/internal/operators/skipUntil.ts", "node_modules/rxjs/src/internal/operators/startWith.ts", "node_modules/rxjs/src/internal/operators/switchMap.ts", "node_modules/rxjs/src/internal/operators/takeUntil.ts", "node_modules/rxjs/src/internal/operators/takeWhile.ts", "node_modules/rxjs/src/internal/operators/tap.ts", "node_modules/rxjs/src/internal/operators/throttle.ts", "node_modules/rxjs/src/internal/operators/throttleTime.ts", "node_modules/rxjs/src/internal/operators/withLatestFrom.ts", "node_modules/rxjs/src/internal/operators/zip.ts", "node_modules/rxjs/src/internal/operators/zipWith.ts", "src/templates/assets/javascripts/browser/document/index.ts", "src/templates/assets/javascripts/browser/element/_/index.ts", "src/templates/assets/javascripts/browser/element/focus/index.ts", "src/templates/assets/javascripts/browser/element/hover/index.ts", "src/templates/assets/javascripts/utilities/h/index.ts", "src/templates/assets/javascripts/utilities/round/index.ts", "src/templates/assets/javascripts/browser/script/index.ts", "src/templates/assets/javascripts/browser/element/size/_/index.ts", "src/templates/assets/javascripts/browser/element/size/content/index.ts", "src/templates/assets/javascripts/browser/element/offset/_/index.ts", "src/templates/assets/javascripts/browser/element/offset/content/index.ts", "src/templates/assets/javascripts/browser/element/visibility/index.ts", "src/templates/assets/javascripts/browser/toggle/index.ts", "src/templates/assets/javascripts/browser/keyboard/index.ts", "src/templates/assets/javascripts/browser/location/_/index.ts", "src/templates/assets/javascripts/browser/location/hash/index.ts", "src/templates/assets/javascripts/browser/media/index.ts", "src/templates/assets/javascripts/browser/request/index.ts", "src/templates/assets/javascripts/browser/viewport/offset/index.ts", "src/templates/assets/javascripts/browser/viewport/size/index.ts", "src/templates/assets/javascripts/browser/viewport/_/index.ts", "src/templates/assets/javascripts/browser/viewport/at/index.ts", "src/templates/assets/javascripts/browser/worker/index.ts", "src/templates/assets/javascripts/_/index.ts", "src/templates/assets/javascripts/components/_/index.ts", "src/templates/assets/javascripts/components/announce/index.ts", "src/templates/assets/javascripts/components/consent/index.ts", "src/templates/assets/javascripts/templates/tooltip/index.tsx", "src/templates/assets/javascripts/templates/annotation/index.tsx", "src/templates/assets/javascripts/templates/clipboard/index.tsx", "src/templates/assets/javascripts/templates/search/index.tsx", "src/templates/assets/javascripts/templates/source/index.tsx", "src/templates/assets/javascripts/templates/tabbed/index.tsx", "src/templates/assets/javascripts/templates/table/index.tsx", "src/templates/assets/javascripts/templates/version/index.tsx", "src/templates/assets/javascripts/components/tooltip2/index.ts", "src/templates/assets/javascripts/components/content/annotation/_/index.ts", "src/templates/assets/javascripts/components/content/annotation/list/index.ts", "src/templates/assets/javascripts/components/content/annotation/block/index.ts", "src/templates/assets/javascripts/components/content/code/_/index.ts", "src/templates/assets/javascripts/components/content/details/index.ts", "src/templates/assets/javascripts/components/content/link/index.ts", "src/templates/assets/javascripts/components/content/mermaid/index.css", "src/templates/assets/javascripts/components/content/mermaid/index.ts", "src/templates/assets/javascripts/components/content/table/index.ts", "src/templates/assets/javascripts/components/content/tabs/index.ts", "src/templates/assets/javascripts/components/content/_/index.ts", "src/templates/assets/javascripts/components/dialog/index.ts", "src/templates/assets/javascripts/components/tooltip/index.ts", "src/templates/assets/javascripts/components/header/_/index.ts", "src/templates/assets/javascripts/components/header/title/index.ts", "src/templates/assets/javascripts/components/main/index.ts", "src/templates/assets/javascripts/components/palette/index.ts", "src/templates/assets/javascripts/components/progress/index.ts", "src/templates/assets/javascripts/integrations/sitemap/index.ts", "src/templates/assets/javascripts/integrations/alternate/index.ts", "src/templates/assets/javascripts/integrations/clipboard/index.ts", "src/templates/assets/javascripts/integrations/instant/index.ts", "src/templates/assets/javascripts/integrations/search/highlighter/index.ts", "src/templates/assets/javascripts/integrations/search/worker/message/index.ts", "src/templates/assets/javascripts/integrations/search/worker/_/index.ts", "src/templates/assets/javascripts/integrations/version/findurl/index.ts", "src/templates/assets/javascripts/integrations/version/index.ts", "src/templates/assets/javascripts/components/search/query/index.ts", "src/templates/assets/javascripts/components/search/result/index.ts", "src/templates/assets/javascripts/components/search/share/index.ts", "src/templates/assets/javascripts/components/search/suggest/index.ts", "src/templates/assets/javascripts/components/search/_/index.ts", "src/templates/assets/javascripts/components/search/highlight/index.ts", "src/templates/assets/javascripts/components/sidebar/index.ts", "src/templates/assets/javascripts/components/source/facts/github/index.ts", "src/templates/assets/javascripts/components/source/facts/gitlab/index.ts", "src/templates/assets/javascripts/components/source/facts/_/index.ts", "src/templates/assets/javascripts/components/source/_/index.ts", "src/templates/assets/javascripts/components/tabs/index.ts", "src/templates/assets/javascripts/components/toc/index.ts", "src/templates/assets/javascripts/components/top/index.ts", "src/templates/assets/javascripts/patches/ellipsis/index.ts", "src/templates/assets/javascripts/patches/indeterminate/index.ts", "src/templates/assets/javascripts/patches/scrollfix/index.ts", "src/templates/assets/javascripts/patches/scrolllock/index.ts", "src/templates/assets/javascripts/polyfills/index.ts"],
-  "sourcesContent": ["(function (global, factory) {\n  typeof exports === 'object' && typeof module !== 'undefined' ? factory() :\n  typeof define === 'function' && define.amd ? define(factory) :\n  (factory());\n}(this, (function () { 'use strict';\n\n  /**\n   * Applies the :focus-visible polyfill at the given scope.\n   * A scope in this case is either the top-level Document or a Shadow Root.\n   *\n   * @param {(Document|ShadowRoot)} scope\n   * @see https://github.com/WICG/focus-visible\n   */\n  function applyFocusVisiblePolyfill(scope) {\n    var hadKeyboardEvent = true;\n    var hadFocusVisibleRecently = false;\n    var hadFocusVisibleRecentlyTimeout = null;\n\n    var inputTypesAllowlist = {\n      text: true,\n      search: true,\n      url: true,\n      tel: true,\n      email: true,\n      password: true,\n      number: true,\n      date: true,\n      month: true,\n      week: true,\n      time: true,\n      datetime: true,\n      'datetime-local': true\n    };\n\n    /**\n     * Helper function for legacy browsers and iframes which sometimes focus\n     * elements like document, body, and non-interactive SVG.\n     * @param {Element} el\n     */\n    function isValidFocusTarget(el) {\n      if (\n        el &&\n        el !== document &&\n        el.nodeName !== 'HTML' &&\n        el.nodeName !== 'BODY' &&\n        'classList' in el &&\n        'contains' in el.classList\n      ) {\n        return true;\n      }\n      return false;\n    }\n\n    /**\n     * Computes whether the given element should automatically trigger the\n     * `focus-visible` class being added, i.e. whether it should always match\n     * `:focus-visible` when focused.\n     * @param {Element} el\n     * @return {boolean}\n     */\n    function focusTriggersKeyboardModality(el) {\n      var type = el.type;\n      var tagName = el.tagName;\n\n      if (tagName === 'INPUT' && inputTypesAllowlist[type] && !el.readOnly) {\n        return true;\n      }\n\n      if (tagName === 'TEXTAREA' && !el.readOnly) {\n        return true;\n      }\n\n      if (el.isContentEditable) {\n        return true;\n      }\n\n      return false;\n    }\n\n    /**\n     * Add the `focus-visible` class to the given element if it was not added by\n     * the author.\n     * @param {Element} el\n     */\n    function addFocusVisibleClass(el) {\n      if (el.classList.contains('focus-visible')) {\n        return;\n      }\n      el.classList.add('focus-visible');\n      el.setAttribute('data-focus-visible-added', '');\n    }\n\n    /**\n     * Remove the `focus-visible` class from the given element if it was not\n     * originally added by the author.\n     * @param {Element} el\n     */\n    function removeFocusVisibleClass(el) {\n      if (!el.hasAttribute('data-focus-visible-added')) {\n        return;\n      }\n      el.classList.remove('focus-visible');\n      el.removeAttribute('data-focus-visible-added');\n    }\n\n    /**\n     * If the most recent user interaction was via the keyboard;\n     * and the key press did not include a meta, alt/option, or control key;\n     * then the modality is keyboard. Otherwise, the modality is not keyboard.\n     * Apply `focus-visible` to any current active element and keep track\n     * of our keyboard modality state with `hadKeyboardEvent`.\n     * @param {KeyboardEvent} e\n     */\n    function onKeyDown(e) {\n      if (e.metaKey || e.altKey || e.ctrlKey) {\n        return;\n      }\n\n      if (isValidFocusTarget(scope.activeElement)) {\n        addFocusVisibleClass(scope.activeElement);\n      }\n\n      hadKeyboardEvent = true;\n    }\n\n    /**\n     * If at any point a user clicks with a pointing device, ensure that we change\n     * the modality away from keyboard.\n     * This avoids the situation where a user presses a key on an already focused\n     * element, and then clicks on a different element, focusing it with a\n     * pointing device, while we still think we're in keyboard modality.\n     * @param {Event} e\n     */\n    function onPointerDown(e) {\n      hadKeyboardEvent = false;\n    }\n\n    /**\n     * On `focus`, add the `focus-visible` class to the target if:\n     * - the target received focus as a result of keyboard navigation, or\n     * - the event target is an element that will likely require interaction\n     *   via the keyboard (e.g. a text box)\n     * @param {Event} e\n     */\n    function onFocus(e) {\n      // Prevent IE from focusing the document or HTML element.\n      if (!isValidFocusTarget(e.target)) {\n        return;\n      }\n\n      if (hadKeyboardEvent || focusTriggersKeyboardModality(e.target)) {\n        addFocusVisibleClass(e.target);\n      }\n    }\n\n    /**\n     * On `blur`, remove the `focus-visible` class from the target.\n     * @param {Event} e\n     */\n    function onBlur(e) {\n      if (!isValidFocusTarget(e.target)) {\n        return;\n      }\n\n      if (\n        e.target.classList.contains('focus-visible') ||\n        e.target.hasAttribute('data-focus-visible-added')\n      ) {\n        // To detect a tab/window switch, we look for a blur event followed\n        // rapidly by a visibility change.\n        // If we don't see a visibility change within 100ms, it's probably a\n        // regular focus change.\n        hadFocusVisibleRecently = true;\n        window.clearTimeout(hadFocusVisibleRecentlyTimeout);\n        hadFocusVisibleRecentlyTimeout = window.setTimeout(function() {\n          hadFocusVisibleRecently = false;\n        }, 100);\n        removeFocusVisibleClass(e.target);\n      }\n    }\n\n    /**\n     * If the user changes tabs, keep track of whether or not the previously\n     * focused element had .focus-visible.\n     * @param {Event} e\n     */\n    function onVisibilityChange(e) {\n      if (document.visibilityState === 'hidden') {\n        // If the tab becomes active again, the browser will handle calling focus\n        // on the element (Safari actually calls it twice).\n        // If this tab change caused a blur on an element with focus-visible,\n        // re-apply the class when the user switches back to the tab.\n        if (hadFocusVisibleRecently) {\n          hadKeyboardEvent = true;\n        }\n        addInitialPointerMoveListeners();\n      }\n    }\n\n    /**\n     * Add a group of listeners to detect usage of any pointing devices.\n     * These listeners will be added when the polyfill first loads, and anytime\n     * the window is blurred, so that they are active when the window regains\n     * focus.\n     */\n    function addInitialPointerMoveListeners() {\n      document.addEventListener('mousemove', onInitialPointerMove);\n      document.addEventListener('mousedown', onInitialPointerMove);\n      document.addEventListener('mouseup', onInitialPointerMove);\n      document.addEventListener('pointermove', onInitialPointerMove);\n      document.addEventListener('pointerdown', onInitialPointerMove);\n      document.addEventListener('pointerup', onInitialPointerMove);\n      document.addEventListener('touchmove', onInitialPointerMove);\n      document.addEventListener('touchstart', onInitialPointerMove);\n      document.addEventListener('touchend', onInitialPointerMove);\n    }\n\n    function removeInitialPointerMoveListeners() {\n      document.removeEventListener('mousemove', onInitialPointerMove);\n      document.removeEventListener('mousedown', onInitialPointerMove);\n      document.removeEventListener('mouseup', onInitialPointerMove);\n      document.removeEventListener('pointermove', onInitialPointerMove);\n      document.removeEventListener('pointerdown', onInitialPointerMove);\n      document.removeEventListener('pointerup', onInitialPointerMove);\n      document.removeEventListener('touchmove', onInitialPointerMove);\n      document.removeEventListener('touchstart', onInitialPointerMove);\n      document.removeEventListener('touchend', onInitialPointerMove);\n    }\n\n    /**\n     * When the polfyill first loads, assume the user is in keyboard modality.\n     * If any event is received from a pointing device (e.g. mouse, pointer,\n     * touch), turn off keyboard modality.\n     * This accounts for situations where focus enters the page from the URL bar.\n     * @param {Event} e\n     */\n    function onInitialPointerMove(e) {\n      // Work around a Safari quirk that fires a mousemove on <html> whenever the\n      // window blurs, even if you're tabbing out of the page. \u00AF\\_(\u30C4)_/\u00AF\n      if (e.target.nodeName && e.target.nodeName.toLowerCase() === 'html') {\n        return;\n      }\n\n      hadKeyboardEvent = false;\n      removeInitialPointerMoveListeners();\n    }\n\n    // For some kinds of state, we are interested in changes at the global scope\n    // only. For example, global pointer input, global key presses and global\n    // visibility change should affect the state at every scope:\n    document.addEventListener('keydown', onKeyDown, true);\n    document.addEventListener('mousedown', onPointerDown, true);\n    document.addEventListener('pointerdown', onPointerDown, true);\n    document.addEventListener('touchstart', onPointerDown, true);\n    document.addEventListener('visibilitychange', onVisibilityChange, true);\n\n    addInitialPointerMoveListeners();\n\n    // For focus and blur, we specifically care about state changes in the local\n    // scope. This is because focus / blur events that originate from within a\n    // shadow root are not re-dispatched from the host element if it was already\n    // the active element in its own scope:\n    scope.addEventListener('focus', onFocus, true);\n    scope.addEventListener('blur', onBlur, true);\n\n    // We detect that a node is a ShadowRoot by ensuring that it is a\n    // DocumentFragment and also has a host property. This check covers native\n    // implementation and polyfill implementation transparently. If we only cared\n    // about the native implementation, we could just check if the scope was\n    // an instance of a ShadowRoot.\n    if (scope.nodeType === Node.DOCUMENT_FRAGMENT_NODE && scope.host) {\n      // Since a ShadowRoot is a special kind of DocumentFragment, it does not\n      // have a root element to add a class to. So, we add this attribute to the\n      // host element instead:\n      scope.host.setAttribute('data-js-focus-visible', '');\n    } else if (scope.nodeType === Node.DOCUMENT_NODE) {\n      document.documentElement.classList.add('js-focus-visible');\n      document.documentElement.setAttribute('data-js-focus-visible', '');\n    }\n  }\n\n  // It is important to wrap all references to global window and document in\n  // these checks to support server-side rendering use cases\n  // @see https://github.com/WICG/focus-visible/issues/199\n  if (typeof window !== 'undefined' && typeof document !== 'undefined') {\n    // Make the polyfill helper globally available. This can be used as a signal\n    // to interested libraries that wish to coordinate with the polyfill for e.g.,\n    // applying the polyfill to a shadow root:\n    window.applyFocusVisiblePolyfill = applyFocusVisiblePolyfill;\n\n    // Notify interested libraries of the polyfill's presence, in case the\n    // polyfill was loaded lazily:\n    var event;\n\n    try {\n      event = new CustomEvent('focus-visible-polyfill-ready');\n    } catch (error) {\n      // IE11 does not support using CustomEvent as a constructor directly:\n      event = document.createEvent('CustomEvent');\n      event.initCustomEvent('focus-visible-polyfill-ready', false, false, {});\n    }\n\n    window.dispatchEvent(event);\n  }\n\n  if (typeof document !== 'undefined') {\n    // Apply the polyfill to the global document, so that no JavaScript\n    // coordination is required to use the polyfill in the top-level document:\n    applyFocusVisiblePolyfill(document);\n  }\n\n})));\n", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param  {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n  var str = '' + string;\n  var match = matchHtmlRegExp.exec(str);\n\n  if (!match) {\n    return str;\n  }\n\n  var escape;\n  var html = '';\n  var index = 0;\n  var lastIndex = 0;\n\n  for (index = match.index; index < str.length; index++) {\n    switch (str.charCodeAt(index)) {\n      case 34: // \"\n        escape = '&quot;';\n        break;\n      case 38: // &\n        escape = '&amp;';\n        break;\n      case 39: // '\n        escape = '&#39;';\n        break;\n      case 60: // <\n        escape = '&lt;';\n        break;\n      case 62: // >\n        escape = '&gt;';\n        break;\n      default:\n        continue;\n    }\n\n    if (lastIndex !== index) {\n      html += str.substring(lastIndex, index);\n    }\n\n    lastIndex = index + 1;\n    html += escape;\n  }\n\n  return lastIndex !== index\n    ? html + str.substring(lastIndex, index)\n    : html;\n}\n", "/*!\n * clipboard.js v2.0.11\n * https://clipboardjs.com/\n *\n * Licensed MIT \u00A9 Zeno Rocha\n */\n(function webpackUniversalModuleDefinition(root, factory) {\n\tif(typeof exports === 'object' && typeof module === 'object')\n\t\tmodule.exports = factory();\n\telse if(typeof define === 'function' && define.amd)\n\t\tdefine([], factory);\n\telse if(typeof exports === 'object')\n\t\texports[\"ClipboardJS\"] = factory();\n\telse\n\t\troot[\"ClipboardJS\"] = factory();\n})(this, function() {\nreturn /******/ (function() { // webpackBootstrap\n/******/ \tvar __webpack_modules__ = ({\n\n/***/ 686:\n/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {\n\n\"use strict\";\n\n// EXPORTS\n__webpack_require__.d(__webpack_exports__, {\n  \"default\": function() { return /* binding */ clipboard; }\n});\n\n// EXTERNAL MODULE: ./node_modules/tiny-emitter/index.js\nvar tiny_emitter = __webpack_require__(279);\nvar tiny_emitter_default = /*#__PURE__*/__webpack_require__.n(tiny_emitter);\n// EXTERNAL MODULE: ./node_modules/good-listener/src/listen.js\nvar listen = __webpack_require__(370);\nvar listen_default = /*#__PURE__*/__webpack_require__.n(listen);\n// EXTERNAL MODULE: ./node_modules/select/src/select.js\nvar src_select = __webpack_require__(817);\nvar select_default = /*#__PURE__*/__webpack_require__.n(src_select);\n;// CONCATENATED MODULE: ./src/common/command.js\n/**\n * Executes a given operation type.\n * @param {String} type\n * @return {Boolean}\n */\nfunction command(type) {\n  try {\n    return document.execCommand(type);\n  } catch (err) {\n    return false;\n  }\n}\n;// CONCATENATED MODULE: ./src/actions/cut.js\n\n\n/**\n * Cut action wrapper.\n * @param {String|HTMLElement} target\n * @return {String}\n */\n\nvar ClipboardActionCut = function ClipboardActionCut(target) {\n  var selectedText = select_default()(target);\n  command('cut');\n  return selectedText;\n};\n\n/* harmony default export */ var actions_cut = (ClipboardActionCut);\n;// CONCATENATED MODULE: ./src/common/create-fake-element.js\n/**\n * Creates a fake textarea element with a value.\n * @param {String} value\n * @return {HTMLElement}\n */\nfunction createFakeElement(value) {\n  var isRTL = document.documentElement.getAttribute('dir') === 'rtl';\n  var fakeElement = document.createElement('textarea'); // Prevent zooming on iOS\n\n  fakeElement.style.fontSize = '12pt'; // Reset box model\n\n  fakeElement.style.border = '0';\n  fakeElement.style.padding = '0';\n  fakeElement.style.margin = '0'; // Move element out of screen horizontally\n\n  fakeElement.style.position = 'absolute';\n  fakeElement.style[isRTL ? 'right' : 'left'] = '-9999px'; // Move element to the same position vertically\n\n  var yPosition = window.pageYOffset || document.documentElement.scrollTop;\n  fakeElement.style.top = \"\".concat(yPosition, \"px\");\n  fakeElement.setAttribute('readonly', '');\n  fakeElement.value = value;\n  return fakeElement;\n}\n;// CONCATENATED MODULE: ./src/actions/copy.js\n\n\n\n/**\n * Create fake copy action wrapper using a fake element.\n * @param {String} target\n * @param {Object} options\n * @return {String}\n */\n\nvar fakeCopyAction = function fakeCopyAction(value, options) {\n  var fakeElement = createFakeElement(value);\n  options.container.appendChild(fakeElement);\n  var selectedText = select_default()(fakeElement);\n  command('copy');\n  fakeElement.remove();\n  return selectedText;\n};\n/**\n * Copy action wrapper.\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @return {String}\n */\n\n\nvar ClipboardActionCopy = function ClipboardActionCopy(target) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n    container: document.body\n  };\n  var selectedText = '';\n\n  if (typeof target === 'string') {\n    selectedText = fakeCopyAction(target, options);\n  } else if (target instanceof HTMLInputElement && !['text', 'search', 'url', 'tel', 'password'].includes(target === null || target === void 0 ? void 0 : target.type)) {\n    // If input type doesn't support `setSelectionRange`. Simulate it. https://developer.mozilla.org/en-US/docs/Web/API/HTMLInputElement/setSelectionRange\n    selectedText = fakeCopyAction(target.value, options);\n  } else {\n    selectedText = select_default()(target);\n    command('copy');\n  }\n\n  return selectedText;\n};\n\n/* harmony default export */ var actions_copy = (ClipboardActionCopy);\n;// CONCATENATED MODULE: ./src/actions/default.js\nfunction _typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { _typeof = function _typeof(obj) { return typeof obj; }; } else { _typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return _typeof(obj); }\n\n\n\n/**\n * Inner function which performs selection from either `text` or `target`\n * properties and then executes copy or cut operations.\n * @param {Object} options\n */\n\nvar ClipboardActionDefault = function ClipboardActionDefault() {\n  var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n  // Defines base properties passed from constructor.\n  var _options$action = options.action,\n      action = _options$action === void 0 ? 'copy' : _options$action,\n      container = options.container,\n      target = options.target,\n      text = options.text; // Sets the `action` to be performed which can be either 'copy' or 'cut'.\n\n  if (action !== 'copy' && action !== 'cut') {\n    throw new Error('Invalid \"action\" value, use either \"copy\" or \"cut\"');\n  } // Sets the `target` property using an element that will be have its content copied.\n\n\n  if (target !== undefined) {\n    if (target && _typeof(target) === 'object' && target.nodeType === 1) {\n      if (action === 'copy' && target.hasAttribute('disabled')) {\n        throw new Error('Invalid \"target\" attribute. Please use \"readonly\" instead of \"disabled\" attribute');\n      }\n\n      if (action === 'cut' && (target.hasAttribute('readonly') || target.hasAttribute('disabled'))) {\n        throw new Error('Invalid \"target\" attribute. You can\\'t cut text from elements with \"readonly\" or \"disabled\" attributes');\n      }\n    } else {\n      throw new Error('Invalid \"target\" value, use a valid Element');\n    }\n  } // Define selection strategy based on `text` property.\n\n\n  if (text) {\n    return actions_copy(text, {\n      container: container\n    });\n  } // Defines which selection strategy based on `target` property.\n\n\n  if (target) {\n    return action === 'cut' ? actions_cut(target) : actions_copy(target, {\n      container: container\n    });\n  }\n};\n\n/* harmony default export */ var actions_default = (ClipboardActionDefault);\n;// CONCATENATED MODULE: ./src/clipboard.js\nfunction clipboard_typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { clipboard_typeof = function _typeof(obj) { return typeof obj; }; } else { clipboard_typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return clipboard_typeof(obj); }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if (\"value\" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }\n\nfunction _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function\"); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, writable: true, configurable: true } }); if (superClass) _setPrototypeOf(subClass, superClass); }\n\nfunction _setPrototypeOf(o, p) { _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) { o.__proto__ = p; return o; }; return _setPrototypeOf(o, p); }\n\nfunction _createSuper(Derived) { var hasNativeReflectConstruct = _isNativeReflectConstruct(); return function _createSuperInternal() { var Super = _getPrototypeOf(Derived), result; if (hasNativeReflectConstruct) { var NewTarget = _getPrototypeOf(this).constructor; result = Reflect.construct(Super, arguments, NewTarget); } else { result = Super.apply(this, arguments); } return _possibleConstructorReturn(this, result); }; }\n\nfunction _possibleConstructorReturn(self, call) { if (call && (clipboard_typeof(call) === \"object\" || typeof call === \"function\")) { return call; } return _assertThisInitialized(self); }\n\nfunction _assertThisInitialized(self) { if (self === void 0) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return self; }\n\nfunction _isNativeReflectConstruct() { if (typeof Reflect === \"undefined\" || !Reflect.construct) return false; if (Reflect.construct.sham) return false; if (typeof Proxy === \"function\") return true; try { Date.prototype.toString.call(Reflect.construct(Date, [], function () {})); return true; } catch (e) { return false; } }\n\nfunction _getPrototypeOf(o) { _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) { return o.__proto__ || Object.getPrototypeOf(o); }; return _getPrototypeOf(o); }\n\n\n\n\n\n\n/**\n * Helper function to retrieve attribute value.\n * @param {String} suffix\n * @param {Element} element\n */\n\nfunction getAttributeValue(suffix, element) {\n  var attribute = \"data-clipboard-\".concat(suffix);\n\n  if (!element.hasAttribute(attribute)) {\n    return;\n  }\n\n  return element.getAttribute(attribute);\n}\n/**\n * Base class which takes one or more elements, adds event listeners to them,\n * and instantiates a new `ClipboardAction` on each click.\n */\n\n\nvar Clipboard = /*#__PURE__*/function (_Emitter) {\n  _inherits(Clipboard, _Emitter);\n\n  var _super = _createSuper(Clipboard);\n\n  /**\n   * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n   * @param {Object} options\n   */\n  function Clipboard(trigger, options) {\n    var _this;\n\n    _classCallCheck(this, Clipboard);\n\n    _this = _super.call(this);\n\n    _this.resolveOptions(options);\n\n    _this.listenClick(trigger);\n\n    return _this;\n  }\n  /**\n   * Defines if attributes would be resolved using internal setter functions\n   * or custom functions that were passed in the constructor.\n   * @param {Object} options\n   */\n\n\n  _createClass(Clipboard, [{\n    key: \"resolveOptions\",\n    value: function resolveOptions() {\n      var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n      this.action = typeof options.action === 'function' ? options.action : this.defaultAction;\n      this.target = typeof options.target === 'function' ? options.target : this.defaultTarget;\n      this.text = typeof options.text === 'function' ? options.text : this.defaultText;\n      this.container = clipboard_typeof(options.container) === 'object' ? options.container : document.body;\n    }\n    /**\n     * Adds a click event listener to the passed trigger.\n     * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n     */\n\n  }, {\n    key: \"listenClick\",\n    value: function listenClick(trigger) {\n      var _this2 = this;\n\n      this.listener = listen_default()(trigger, 'click', function (e) {\n        return _this2.onClick(e);\n      });\n    }\n    /**\n     * Defines a new `ClipboardAction` on each click event.\n     * @param {Event} e\n     */\n\n  }, {\n    key: \"onClick\",\n    value: function onClick(e) {\n      var trigger = e.delegateTarget || e.currentTarget;\n      var action = this.action(trigger) || 'copy';\n      var text = actions_default({\n        action: action,\n        container: this.container,\n        target: this.target(trigger),\n        text: this.text(trigger)\n      }); // Fires an event based on the copy operation result.\n\n      this.emit(text ? 'success' : 'error', {\n        action: action,\n        text: text,\n        trigger: trigger,\n        clearSelection: function clearSelection() {\n          if (trigger) {\n            trigger.focus();\n          }\n\n          window.getSelection().removeAllRanges();\n        }\n      });\n    }\n    /**\n     * Default `action` lookup function.\n     * @param {Element} trigger\n     */\n\n  }, {\n    key: \"defaultAction\",\n    value: function defaultAction(trigger) {\n      return getAttributeValue('action', trigger);\n    }\n    /**\n     * Default `target` lookup function.\n     * @param {Element} trigger\n     */\n\n  }, {\n    key: \"defaultTarget\",\n    value: function defaultTarget(trigger) {\n      var selector = getAttributeValue('target', trigger);\n\n      if (selector) {\n        return document.querySelector(selector);\n      }\n    }\n    /**\n     * Allow fire programmatically a copy action\n     * @param {String|HTMLElement} target\n     * @param {Object} options\n     * @returns Text copied.\n     */\n\n  }, {\n    key: \"defaultText\",\n\n    /**\n     * Default `text` lookup function.\n     * @param {Element} trigger\n     */\n    value: function defaultText(trigger) {\n      return getAttributeValue('text', trigger);\n    }\n    /**\n     * Destroy lifecycle.\n     */\n\n  }, {\n    key: \"destroy\",\n    value: function destroy() {\n      this.listener.destroy();\n    }\n  }], [{\n    key: \"copy\",\n    value: function copy(target) {\n      var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n        container: document.body\n      };\n      return actions_copy(target, options);\n    }\n    /**\n     * Allow fire programmatically a cut action\n     * @param {String|HTMLElement} target\n     * @returns Text cutted.\n     */\n\n  }, {\n    key: \"cut\",\n    value: function cut(target) {\n      return actions_cut(target);\n    }\n    /**\n     * Returns the support of the given action, or all actions if no action is\n     * given.\n     * @param {String} [action]\n     */\n\n  }, {\n    key: \"isSupported\",\n    value: function isSupported() {\n      var action = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : ['copy', 'cut'];\n      var actions = typeof action === 'string' ? [action] : action;\n      var support = !!document.queryCommandSupported;\n      actions.forEach(function (action) {\n        support = support && !!document.queryCommandSupported(action);\n      });\n      return support;\n    }\n  }]);\n\n  return Clipboard;\n}((tiny_emitter_default()));\n\n/* harmony default export */ var clipboard = (Clipboard);\n\n/***/ }),\n\n/***/ 828:\n/***/ (function(module) {\n\nvar DOCUMENT_NODE_TYPE = 9;\n\n/**\n * A polyfill for Element.matches()\n */\nif (typeof Element !== 'undefined' && !Element.prototype.matches) {\n    var proto = Element.prototype;\n\n    proto.matches = proto.matchesSelector ||\n                    proto.mozMatchesSelector ||\n                    proto.msMatchesSelector ||\n                    proto.oMatchesSelector ||\n                    proto.webkitMatchesSelector;\n}\n\n/**\n * Finds the closest parent that matches a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @return {Function}\n */\nfunction closest (element, selector) {\n    while (element && element.nodeType !== DOCUMENT_NODE_TYPE) {\n        if (typeof element.matches === 'function' &&\n            element.matches(selector)) {\n          return element;\n        }\n        element = element.parentNode;\n    }\n}\n\nmodule.exports = closest;\n\n\n/***/ }),\n\n/***/ 438:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar closest = __webpack_require__(828);\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction _delegate(element, selector, type, callback, useCapture) {\n    var listenerFn = listener.apply(this, arguments);\n\n    element.addEventListener(type, listenerFn, useCapture);\n\n    return {\n        destroy: function() {\n            element.removeEventListener(type, listenerFn, useCapture);\n        }\n    }\n}\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element|String|Array} [elements]\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction delegate(elements, selector, type, callback, useCapture) {\n    // Handle the regular Element usage\n    if (typeof elements.addEventListener === 'function') {\n        return _delegate.apply(null, arguments);\n    }\n\n    // Handle Element-less usage, it defaults to global delegation\n    if (typeof type === 'function') {\n        // Use `document` as the first parameter, then apply arguments\n        // This is a short way to .unshift `arguments` without running into deoptimizations\n        return _delegate.bind(null, document).apply(null, arguments);\n    }\n\n    // Handle Selector-based usage\n    if (typeof elements === 'string') {\n        elements = document.querySelectorAll(elements);\n    }\n\n    // Handle Array-like based usage\n    return Array.prototype.map.call(elements, function (element) {\n        return _delegate(element, selector, type, callback, useCapture);\n    });\n}\n\n/**\n * Finds closest match and invokes callback.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Function}\n */\nfunction listener(element, selector, type, callback) {\n    return function(e) {\n        e.delegateTarget = closest(e.target, selector);\n\n        if (e.delegateTarget) {\n            callback.call(element, e);\n        }\n    }\n}\n\nmodule.exports = delegate;\n\n\n/***/ }),\n\n/***/ 879:\n/***/ (function(__unused_webpack_module, exports) {\n\n/**\n * Check if argument is a HTML element.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.node = function(value) {\n    return value !== undefined\n        && value instanceof HTMLElement\n        && value.nodeType === 1;\n};\n\n/**\n * Check if argument is a list of HTML elements.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.nodeList = function(value) {\n    var type = Object.prototype.toString.call(value);\n\n    return value !== undefined\n        && (type === '[object NodeList]' || type === '[object HTMLCollection]')\n        && ('length' in value)\n        && (value.length === 0 || exports.node(value[0]));\n};\n\n/**\n * Check if argument is a string.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.string = function(value) {\n    return typeof value === 'string'\n        || value instanceof String;\n};\n\n/**\n * Check if argument is a function.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.fn = function(value) {\n    var type = Object.prototype.toString.call(value);\n\n    return type === '[object Function]';\n};\n\n\n/***/ }),\n\n/***/ 370:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar is = __webpack_require__(879);\nvar delegate = __webpack_require__(438);\n\n/**\n * Validates all params and calls the right\n * listener function based on its target type.\n *\n * @param {String|HTMLElement|HTMLCollection|NodeList} target\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listen(target, type, callback) {\n    if (!target && !type && !callback) {\n        throw new Error('Missing required arguments');\n    }\n\n    if (!is.string(type)) {\n        throw new TypeError('Second argument must be a String');\n    }\n\n    if (!is.fn(callback)) {\n        throw new TypeError('Third argument must be a Function');\n    }\n\n    if (is.node(target)) {\n        return listenNode(target, type, callback);\n    }\n    else if (is.nodeList(target)) {\n        return listenNodeList(target, type, callback);\n    }\n    else if (is.string(target)) {\n        return listenSelector(target, type, callback);\n    }\n    else {\n        throw new TypeError('First argument must be a String, HTMLElement, HTMLCollection, or NodeList');\n    }\n}\n\n/**\n * Adds an event listener to a HTML element\n * and returns a remove listener function.\n *\n * @param {HTMLElement} node\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNode(node, type, callback) {\n    node.addEventListener(type, callback);\n\n    return {\n        destroy: function() {\n            node.removeEventListener(type, callback);\n        }\n    }\n}\n\n/**\n * Add an event listener to a list of HTML elements\n * and returns a remove listener function.\n *\n * @param {NodeList|HTMLCollection} nodeList\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNodeList(nodeList, type, callback) {\n    Array.prototype.forEach.call(nodeList, function(node) {\n        node.addEventListener(type, callback);\n    });\n\n    return {\n        destroy: function() {\n            Array.prototype.forEach.call(nodeList, function(node) {\n                node.removeEventListener(type, callback);\n            });\n        }\n    }\n}\n\n/**\n * Add an event listener to a selector\n * and returns a remove listener function.\n *\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenSelector(selector, type, callback) {\n    return delegate(document.body, selector, type, callback);\n}\n\nmodule.exports = listen;\n\n\n/***/ }),\n\n/***/ 817:\n/***/ (function(module) {\n\nfunction select(element) {\n    var selectedText;\n\n    if (element.nodeName === 'SELECT') {\n        element.focus();\n\n        selectedText = element.value;\n    }\n    else if (element.nodeName === 'INPUT' || element.nodeName === 'TEXTAREA') {\n        var isReadOnly = element.hasAttribute('readonly');\n\n        if (!isReadOnly) {\n            element.setAttribute('readonly', '');\n        }\n\n        element.select();\n        element.setSelectionRange(0, element.value.length);\n\n        if (!isReadOnly) {\n            element.removeAttribute('readonly');\n        }\n\n        selectedText = element.value;\n    }\n    else {\n        if (element.hasAttribute('contenteditable')) {\n            element.focus();\n        }\n\n        var selection = window.getSelection();\n        var range = document.createRange();\n\n        range.selectNodeContents(element);\n        selection.removeAllRanges();\n        selection.addRange(range);\n\n        selectedText = selection.toString();\n    }\n\n    return selectedText;\n}\n\nmodule.exports = select;\n\n\n/***/ }),\n\n/***/ 279:\n/***/ (function(module) {\n\nfunction E () {\n  // Keep this empty so it's easier to inherit from\n  // (via https://github.com/lipsmack from https://github.com/scottcorgan/tiny-emitter/issues/3)\n}\n\nE.prototype = {\n  on: function (name, callback, ctx) {\n    var e = this.e || (this.e = {});\n\n    (e[name] || (e[name] = [])).push({\n      fn: callback,\n      ctx: ctx\n    });\n\n    return this;\n  },\n\n  once: function (name, callback, ctx) {\n    var self = this;\n    function listener () {\n      self.off(name, listener);\n      callback.apply(ctx, arguments);\n    };\n\n    listener._ = callback\n    return this.on(name, listener, ctx);\n  },\n\n  emit: function (name) {\n    var data = [].slice.call(arguments, 1);\n    var evtArr = ((this.e || (this.e = {}))[name] || []).slice();\n    var i = 0;\n    var len = evtArr.length;\n\n    for (i; i < len; i++) {\n      evtArr[i].fn.apply(evtArr[i].ctx, data);\n    }\n\n    return this;\n  },\n\n  off: function (name, callback) {\n    var e = this.e || (this.e = {});\n    var evts = e[name];\n    var liveEvents = [];\n\n    if (evts && callback) {\n      for (var i = 0, len = evts.length; i < len; i++) {\n        if (evts[i].fn !== callback && evts[i].fn._ !== callback)\n          liveEvents.push(evts[i]);\n      }\n    }\n\n    // Remove event from queue to prevent memory leak\n    // Suggested by https://github.com/lazd\n    // Ref: https://github.com/scottcorgan/tiny-emitter/commit/c6ebfaa9bc973b33d110a84a307742b7cf94c953#commitcomment-5024910\n\n    (liveEvents.length)\n      ? e[name] = liveEvents\n      : delete e[name];\n\n    return this;\n  }\n};\n\nmodule.exports = E;\nmodule.exports.TinyEmitter = E;\n\n\n/***/ })\n\n/******/ \t});\n/************************************************************************/\n/******/ \t// The module cache\n/******/ \tvar __webpack_module_cache__ = {};\n/******/ \t\n/******/ \t// The require function\n/******/ \tfunction __webpack_require__(moduleId) {\n/******/ \t\t// Check if module is in cache\n/******/ \t\tif(__webpack_module_cache__[moduleId]) {\n/******/ \t\t\treturn __webpack_module_cache__[moduleId].exports;\n/******/ \t\t}\n/******/ \t\t// Create a new module (and put it into the cache)\n/******/ \t\tvar module = __webpack_module_cache__[moduleId] = {\n/******/ \t\t\t// no module.id needed\n/******/ \t\t\t// no module.loaded needed\n/******/ \t\t\texports: {}\n/******/ \t\t};\n/******/ \t\n/******/ \t\t// Execute the module function\n/******/ \t\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n/******/ \t\n/******/ \t\t// Return the exports of the module\n/******/ \t\treturn module.exports;\n/******/ \t}\n/******/ \t\n/************************************************************************/\n/******/ \t/* webpack/runtime/compat get default export */\n/******/ \t!function() {\n/******/ \t\t// getDefaultExport function for compatibility with non-harmony modules\n/******/ \t\t__webpack_require__.n = function(module) {\n/******/ \t\t\tvar getter = module && module.__esModule ?\n/******/ \t\t\t\tfunction() { return module['default']; } :\n/******/ \t\t\t\tfunction() { return module; };\n/******/ \t\t\t__webpack_require__.d(getter, { a: getter });\n/******/ \t\t\treturn getter;\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/define property getters */\n/******/ \t!function() {\n/******/ \t\t// define getter functions for harmony exports\n/******/ \t\t__webpack_require__.d = function(exports, definition) {\n/******/ \t\t\tfor(var key in definition) {\n/******/ \t\t\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n/******/ \t\t\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n/******/ \t\t\t\t}\n/******/ \t\t\t}\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/hasOwnProperty shorthand */\n/******/ \t!function() {\n/******/ \t\t__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }\n/******/ \t}();\n/******/ \t\n/************************************************************************/\n/******/ \t// module exports must be returned from runtime so entry inlining is disabled\n/******/ \t// startup\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(686);\n/******/ })()\n.default;\n});", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport \"focus-visible\"\n\nimport {\n  EMPTY,\n  NEVER,\n  Observable,\n  Subject,\n  defer,\n  delay,\n  filter,\n  map,\n  merge,\n  mergeWith,\n  shareReplay,\n  switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"./_\"\nimport {\n  at,\n  getActiveElement,\n  getOptionalElement,\n  requestJSON,\n  setLocation,\n  setToggle,\n  watchDocument,\n  watchKeyboard,\n  watchLocation,\n  watchLocationTarget,\n  watchMedia,\n  watchPrint,\n  watchScript,\n  watchViewport\n} from \"./browser\"\nimport {\n  getComponentElement,\n  getComponentElements,\n  mountAnnounce,\n  mountBackToTop,\n  mountConsent,\n  mountContent,\n  mountDialog,\n  mountHeader,\n  mountHeaderTitle,\n  mountPalette,\n  mountProgress,\n  mountSearch,\n  mountSearchHiglight,\n  mountSidebar,\n  mountSource,\n  mountTableOfContents,\n  mountTabs,\n  watchHeader,\n  watchMain\n} from \"./components\"\nimport {\n  SearchIndex,\n  fetchSitemap,\n  setupAlternate,\n  setupClipboardJS,\n  setupInstantNavigation,\n  setupVersionSelector\n} from \"./integrations\"\nimport {\n  patchEllipsis,\n  patchIndeterminate,\n  patchScrollfix,\n  patchScrolllock\n} from \"./patches\"\nimport \"./polyfills\"\n\n/* ----------------------------------------------------------------------------\n * Functions - @todo refactor\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch search index\n *\n * @returns Search index observable\n */\nfunction fetchSearchIndex(): Observable<SearchIndex> {\n  if (location.protocol === \"file:\") {\n    return watchScript(\n      `${new URL(\"search/search_index.js\", config.base)}`\n    )\n      .pipe(\n        // @ts-ignore - @todo fix typings\n        map(() => __index),\n        shareReplay(1)\n      )\n  } else {\n    return requestJSON<SearchIndex>(\n      new URL(\"search/search_index.json\", config.base)\n    )\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Application\n * ------------------------------------------------------------------------- */\n\n/* Yay, JavaScript is available */\ndocument.documentElement.classList.remove(\"no-js\")\ndocument.documentElement.classList.add(\"js\")\n\n/* Set up navigation observables and subjects */\nconst document$ = watchDocument()\nconst location$ = watchLocation()\nconst target$   = watchLocationTarget(location$)\nconst keyboard$ = watchKeyboard()\n\n/* Set up media observables */\nconst viewport$ = watchViewport()\nconst tablet$   = watchMedia(\"(min-width: 60em)\")\nconst screen$   = watchMedia(\"(min-width: 76.25em)\")\nconst print$    = watchPrint()\n\n/* Retrieve search index, if search is enabled */\nconst config = configuration()\nconst index$ = document.forms.namedItem(\"search\")\n  ? fetchSearchIndex()\n  : NEVER\n\n/* Set up Clipboard.js integration */\nconst alert$ = new Subject<string>()\nsetupClipboardJS({ alert$ })\n\n/* Set up language selector */\nsetupAlternate({ document$ })\n\n/* Set up progress indicator */\nconst progress$ = new Subject<number>()\n\n/* Set up sitemap for instant navigation and previews */\nconst sitemap$ = fetchSitemap(config.base)\n\n/* Set up instant navigation, if enabled */\nif (feature(\"navigation.instant\"))\n  setupInstantNavigation({ sitemap$, location$, viewport$, progress$ })\n    .subscribe(document$)\n\n/* Set up version selector */\nif (config.version?.provider === \"mike\")\n  setupVersionSelector({ document$ })\n\n/* Always close drawer and search on navigation */\nmerge(location$, target$)\n  .pipe(\n    delay(125)\n  )\n    .subscribe(() => {\n      setToggle(\"drawer\", false)\n      setToggle(\"search\", false)\n    })\n\n/* Set up global keyboard handlers */\nkeyboard$\n  .pipe(\n    filter(({ mode }) => mode === \"global\")\n  )\n    .subscribe(key => {\n      switch (key.type) {\n\n        /* Go to previous page */\n        case \"p\":\n        case \",\":\n          const prev = getOptionalElement<HTMLLinkElement>(\"link[rel=prev]\")\n          if (typeof prev !== \"undefined\")\n            setLocation(prev)\n          break\n\n        /* Go to next page */\n        case \"n\":\n        case \".\":\n          const next = getOptionalElement<HTMLLinkElement>(\"link[rel=next]\")\n          if (typeof next !== \"undefined\")\n            setLocation(next)\n          break\n\n        /* Expand navigation, see https://bit.ly/3ZjG5io */\n        case \"Enter\":\n          const active = getActiveElement()\n          if (active instanceof HTMLLabelElement)\n            active.click()\n      }\n    })\n\n/* Set up patches */\npatchEllipsis({ viewport$, document$ })\npatchIndeterminate({ document$, tablet$ })\npatchScrollfix({ document$ })\npatchScrolllock({ viewport$, tablet$ })\n\n/* Set up header and main area observable */\nconst header$ = watchHeader(getComponentElement(\"header\"), { viewport$ })\nconst main$ = document$\n  .pipe(\n    map(() => getComponentElement(\"main\")),\n    switchMap(el => watchMain(el, { viewport$, header$ })),\n    shareReplay(1)\n  )\n\n/* Set up control component observables */\nconst control$ = merge(\n\n  /* Consent */\n  ...getComponentElements(\"consent\")\n    .map(el => mountConsent(el, { target$ })),\n\n  /* Dialog */\n  ...getComponentElements(\"dialog\")\n    .map(el => mountDialog(el, { alert$ })),\n\n  /* Color palette */\n  ...getComponentElements(\"palette\")\n    .map(el => mountPalette(el)),\n\n  /* Progress bar */\n  ...getComponentElements(\"progress\")\n    .map(el => mountProgress(el, { progress$ })),\n\n  /* Search */\n  ...getComponentElements(\"search\")\n    .map(el => mountSearch(el, { index$, keyboard$ })),\n\n  /* Repository information */\n  ...getComponentElements(\"source\")\n    .map(el => mountSource(el))\n)\n\n/* Set up content component observables */\nconst content$ = defer(() => merge(\n\n  /* Announcement bar */\n  ...getComponentElements(\"announce\")\n    .map(el => mountAnnounce(el)),\n\n  /* Content */\n  ...getComponentElements(\"content\")\n    .map(el => mountContent(el, { sitemap$, viewport$, target$, print$ })),\n\n  /* Search highlighting */\n  ...getComponentElements(\"content\")\n    .map(el => feature(\"search.highlight\")\n      ? mountSearchHiglight(el, { index$, location$ })\n      : EMPTY\n    ),\n\n  /* Header */\n  ...getComponentElements(\"header\")\n    .map(el => mountHeader(el, { viewport$, header$, main$ })),\n\n  /* Header title */\n  ...getComponentElements(\"header-title\")\n    .map(el => mountHeaderTitle(el, { viewport$, header$ })),\n\n  /* Sidebar */\n  ...getComponentElements(\"sidebar\")\n    .map(el => el.getAttribute(\"data-md-type\") === \"navigation\"\n      ? at(screen$, () => mountSidebar(el, { viewport$, header$, main$ }))\n      : at(tablet$, () => mountSidebar(el, { viewport$, header$, main$ }))\n    ),\n\n  /* Navigation tabs */\n  ...getComponentElements(\"tabs\")\n    .map(el => mountTabs(el, { viewport$, header$ })),\n\n  /* Table of contents */\n  ...getComponentElements(\"toc\")\n    .map(el => mountTableOfContents(el, {\n      viewport$, header$, main$, target$\n    })),\n\n  /* Back-to-top button */\n  ...getComponentElements(\"top\")\n    .map(el => mountBackToTop(el, { viewport$, header$, main$, target$ }))\n))\n\n/* Set up component observables */\nconst component$ = document$\n  .pipe(\n    switchMap(() => content$),\n    mergeWith(control$),\n    shareReplay(1)\n  )\n\n/* Subscribe to all components */\ncomponent$.subscribe()\n\n/* ----------------------------------------------------------------------------\n * Exports\n * ------------------------------------------------------------------------- */\n\nwindow.document$  = document$          /* Document observable */\nwindow.location$  = location$          /* Location subject */\nwindow.target$    = target$            /* Location target observable */\nwindow.keyboard$  = keyboard$          /* Keyboard observable */\nwindow.viewport$  = viewport$          /* Viewport observable */\nwindow.tablet$    = tablet$            /* Media tablet observable */\nwindow.screen$    = screen$            /* Media screen observable */\nwindow.print$     = print$             /* Media print observable */\nwindow.alert$     = alert$             /* Alert subject */\nwindow.progress$  = progress$          /* Progress indicator subject */\nwindow.component$ = component$         /* Component observable */\n", "/******************************************************************************\nCopyright (c) Microsoft Corporation.\n\nPermission to use, copy, modify, and/or distribute this software for any\npurpose with or without fee is hereby granted.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\nPERFORMANCE OF THIS SOFTWARE.\n***************************************************************************** */\n/* global Reflect, Promise, SuppressedError, Symbol, Iterator */\n\nvar extendStatics = function(d, b) {\n  extendStatics = Object.setPrototypeOf ||\n      ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n      function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n  return extendStatics(d, b);\n};\n\nexport function __extends(d, b) {\n  if (typeof b !== \"function\" && b !== null)\n      throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n  extendStatics(d, b);\n  function __() { this.constructor = d; }\n  d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n}\n\nexport var __assign = function() {\n  __assign = Object.assign || function __assign(t) {\n      for (var s, i = 1, n = arguments.length; i < n; i++) {\n          s = arguments[i];\n          for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\n      }\n      return t;\n  }\n  return __assign.apply(this, arguments);\n}\n\nexport function __rest(s, e) {\n  var t = {};\n  for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)\n      t[p] = s[p];\n  if (s != null && typeof Object.getOwnPropertySymbols === \"function\")\n      for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {\n          if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))\n              t[p[i]] = s[p[i]];\n      }\n  return t;\n}\n\nexport function __decorate(decorators, target, key, desc) {\n  var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;\n  if (typeof Reflect === \"object\" && typeof Reflect.decorate === \"function\") r = Reflect.decorate(decorators, target, key, desc);\n  else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;\n  return c > 3 && r && Object.defineProperty(target, key, r), r;\n}\n\nexport function __param(paramIndex, decorator) {\n  return function (target, key) { decorator(target, key, paramIndex); }\n}\n\nexport function __esDecorate(ctor, descriptorIn, decorators, contextIn, initializers, extraInitializers) {\n  function accept(f) { if (f !== void 0 && typeof f !== \"function\") throw new TypeError(\"Function expected\"); return f; }\n  var kind = contextIn.kind, key = kind === \"getter\" ? \"get\" : kind === \"setter\" ? \"set\" : \"value\";\n  var target = !descriptorIn && ctor ? contextIn[\"static\"] ? ctor : ctor.prototype : null;\n  var descriptor = descriptorIn || (target ? Object.getOwnPropertyDescriptor(target, contextIn.name) : {});\n  var _, done = false;\n  for (var i = decorators.length - 1; i >= 0; i--) {\n      var context = {};\n      for (var p in contextIn) context[p] = p === \"access\" ? {} : contextIn[p];\n      for (var p in contextIn.access) context.access[p] = contextIn.access[p];\n      context.addInitializer = function (f) { if (done) throw new TypeError(\"Cannot add initializers after decoration has completed\"); extraInitializers.push(accept(f || null)); };\n      var result = (0, decorators[i])(kind === \"accessor\" ? { get: descriptor.get, set: descriptor.set } : descriptor[key], context);\n      if (kind === \"accessor\") {\n          if (result === void 0) continue;\n          if (result === null || typeof result !== \"object\") throw new TypeError(\"Object expected\");\n          if (_ = accept(result.get)) descriptor.get = _;\n          if (_ = accept(result.set)) descriptor.set = _;\n          if (_ = accept(result.init)) initializers.unshift(_);\n      }\n      else if (_ = accept(result)) {\n          if (kind === \"field\") initializers.unshift(_);\n          else descriptor[key] = _;\n      }\n  }\n  if (target) Object.defineProperty(target, contextIn.name, descriptor);\n  done = true;\n};\n\nexport function __runInitializers(thisArg, initializers, value) {\n  var useValue = arguments.length > 2;\n  for (var i = 0; i < initializers.length; i++) {\n      value = useValue ? initializers[i].call(thisArg, value) : initializers[i].call(thisArg);\n  }\n  return useValue ? value : void 0;\n};\n\nexport function __propKey(x) {\n  return typeof x === \"symbol\" ? x : \"\".concat(x);\n};\n\nexport function __setFunctionName(f, name, prefix) {\n  if (typeof name === \"symbol\") name = name.description ? \"[\".concat(name.description, \"]\") : \"\";\n  return Object.defineProperty(f, \"name\", { configurable: true, value: prefix ? \"\".concat(prefix, \" \", name) : name });\n};\n\nexport function __metadata(metadataKey, metadataValue) {\n  if (typeof Reflect === \"object\" && typeof Reflect.metadata === \"function\") return Reflect.metadata(metadataKey, metadataValue);\n}\n\nexport function __awaiter(thisArg, _arguments, P, generator) {\n  function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }\n  return new (P || (P = Promise))(function (resolve, reject) {\n      function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n      function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n      function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }\n      step((generator = generator.apply(thisArg, _arguments || [])).next());\n  });\n}\n\nexport function __generator(thisArg, body) {\n  var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g = Object.create((typeof Iterator === \"function\" ? Iterator : Object).prototype);\n  return g.next = verb(0), g[\"throw\"] = verb(1), g[\"return\"] = verb(2), typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n  function verb(n) { return function (v) { return step([n, v]); }; }\n  function step(op) {\n      if (f) throw new TypeError(\"Generator is already executing.\");\n      while (g && (g = 0, op[0] && (_ = 0)), _) try {\n          if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\n          if (y = 0, t) op = [op[0] & 2, t.value];\n          switch (op[0]) {\n              case 0: case 1: t = op; break;\n              case 4: _.label++; return { value: op[1], done: false };\n              case 5: _.label++; y = op[1]; op = [0]; continue;\n              case 7: op = _.ops.pop(); _.trys.pop(); continue;\n              default:\n                  if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                  if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                  if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                  if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                  if (t[2]) _.ops.pop();\n                  _.trys.pop(); continue;\n          }\n          op = body.call(thisArg, _);\n      } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n      if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n  }\n}\n\nexport var __createBinding = Object.create ? (function(o, m, k, k2) {\n  if (k2 === undefined) k2 = k;\n  var desc = Object.getOwnPropertyDescriptor(m, k);\n  if (!desc || (\"get\" in desc ? !m.__esModule : desc.writable || desc.configurable)) {\n      desc = { enumerable: true, get: function() { return m[k]; } };\n  }\n  Object.defineProperty(o, k2, desc);\n}) : (function(o, m, k, k2) {\n  if (k2 === undefined) k2 = k;\n  o[k2] = m[k];\n});\n\nexport function __exportStar(m, o) {\n  for (var p in m) if (p !== \"default\" && !Object.prototype.hasOwnProperty.call(o, p)) __createBinding(o, m, p);\n}\n\nexport function __values(o) {\n  var s = typeof Symbol === \"function\" && Symbol.iterator, m = s && o[s], i = 0;\n  if (m) return m.call(o);\n  if (o && typeof o.length === \"number\") return {\n      next: function () {\n          if (o && i >= o.length) o = void 0;\n          return { value: o && o[i++], done: !o };\n      }\n  };\n  throw new TypeError(s ? \"Object is not iterable.\" : \"Symbol.iterator is not defined.\");\n}\n\nexport function __read(o, n) {\n  var m = typeof Symbol === \"function\" && o[Symbol.iterator];\n  if (!m) return o;\n  var i = m.call(o), r, ar = [], e;\n  try {\n      while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);\n  }\n  catch (error) { e = { error: error }; }\n  finally {\n      try {\n          if (r && !r.done && (m = i[\"return\"])) m.call(i);\n      }\n      finally { if (e) throw e.error; }\n  }\n  return ar;\n}\n\n/** @deprecated */\nexport function __spread() {\n  for (var ar = [], i = 0; i < arguments.length; i++)\n      ar = ar.concat(__read(arguments[i]));\n  return ar;\n}\n\n/** @deprecated */\nexport function __spreadArrays() {\n  for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;\n  for (var r = Array(s), k = 0, i = 0; i < il; i++)\n      for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++)\n          r[k] = a[j];\n  return r;\n}\n\nexport function __spreadArray(to, from, pack) {\n  if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {\n      if (ar || !(i in from)) {\n          if (!ar) ar = Array.prototype.slice.call(from, 0, i);\n          ar[i] = from[i];\n      }\n  }\n  return to.concat(ar || Array.prototype.slice.call(from));\n}\n\nexport function __await(v) {\n  return this instanceof __await ? (this.v = v, this) : new __await(v);\n}\n\nexport function __asyncGenerator(thisArg, _arguments, generator) {\n  if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\n  var g = generator.apply(thisArg, _arguments || []), i, q = [];\n  return i = Object.create((typeof AsyncIterator === \"function\" ? AsyncIterator : Object).prototype), verb(\"next\"), verb(\"throw\"), verb(\"return\", awaitReturn), i[Symbol.asyncIterator] = function () { return this; }, i;\n  function awaitReturn(f) { return function (v) { return Promise.resolve(v).then(f, reject); }; }\n  function verb(n, f) { if (g[n]) { i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; if (f) i[n] = f(i[n]); } }\n  function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\n  function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\n  function fulfill(value) { resume(\"next\", value); }\n  function reject(value) { resume(\"throw\", value); }\n  function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\n}\n\nexport function __asyncDelegator(o) {\n  var i, p;\n  return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\n  function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: false } : f ? f(v) : v; } : f; }\n}\n\nexport function __asyncValues(o) {\n  if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\n  var m = o[Symbol.asyncIterator], i;\n  return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\n  function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\n  function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\n}\n\nexport function __makeTemplateObject(cooked, raw) {\n  if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\n  return cooked;\n};\n\nvar __setModuleDefault = Object.create ? (function(o, v) {\n  Object.defineProperty(o, \"default\", { enumerable: true, value: v });\n}) : function(o, v) {\n  o[\"default\"] = v;\n};\n\nexport function __importStar(mod) {\n  if (mod && mod.__esModule) return mod;\n  var result = {};\n  if (mod != null) for (var k in mod) if (k !== \"default\" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);\n  __setModuleDefault(result, mod);\n  return result;\n}\n\nexport function __importDefault(mod) {\n  return (mod && mod.__esModule) ? mod : { default: mod };\n}\n\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\n  if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\n  if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\n  return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\n}\n\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\n  if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\n  if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\n  if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\n  return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\n}\n\nexport function __classPrivateFieldIn(state, receiver) {\n  if (receiver === null || (typeof receiver !== \"object\" && typeof receiver !== \"function\")) throw new TypeError(\"Cannot use 'in' operator on non-object\");\n  return typeof state === \"function\" ? receiver === state : state.has(receiver);\n}\n\nexport function __addDisposableResource(env, value, async) {\n  if (value !== null && value !== void 0) {\n    if (typeof value !== \"object\" && typeof value !== \"function\") throw new TypeError(\"Object expected.\");\n    var dispose, inner;\n    if (async) {\n      if (!Symbol.asyncDispose) throw new TypeError(\"Symbol.asyncDispose is not defined.\");\n      dispose = value[Symbol.asyncDispose];\n    }\n    if (dispose === void 0) {\n      if (!Symbol.dispose) throw new TypeError(\"Symbol.dispose is not defined.\");\n      dispose = value[Symbol.dispose];\n      if (async) inner = dispose;\n    }\n    if (typeof dispose !== \"function\") throw new TypeError(\"Object not disposable.\");\n    if (inner) dispose = function() { try { inner.call(this); } catch (e) { return Promise.reject(e); } };\n    env.stack.push({ value: value, dispose: dispose, async: async });\n  }\n  else if (async) {\n    env.stack.push({ async: true });\n  }\n  return value;\n}\n\nvar _SuppressedError = typeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\n  var e = new Error(message);\n  return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\n};\n\nexport function __disposeResources(env) {\n  function fail(e) {\n    env.error = env.hasError ? new _SuppressedError(e, env.error, \"An error was suppressed during disposal.\") : e;\n    env.hasError = true;\n  }\n  var r, s = 0;\n  function next() {\n    while (r = env.stack.pop()) {\n      try {\n        if (!r.async && s === 1) return s = 0, env.stack.push(r), Promise.resolve().then(next);\n        if (r.dispose) {\n          var result = r.dispose.call(r.value);\n          if (r.async) return s |= 2, Promise.resolve(result).then(next, function(e) { fail(e); return next(); });\n        }\n        else s |= 1;\n      }\n      catch (e) {\n        fail(e);\n      }\n    }\n    if (s === 1) return env.hasError ? Promise.reject(env.error) : Promise.resolve();\n    if (env.hasError) throw env.error;\n  }\n  return next();\n}\n\nexport default {\n  __extends,\n  __assign,\n  __rest,\n  __decorate,\n  __param,\n  __metadata,\n  __awaiter,\n  __generator,\n  __createBinding,\n  __exportStar,\n  __values,\n  __read,\n  __spread,\n  __spreadArrays,\n  __spreadArray,\n  __await,\n  __asyncGenerator,\n  __asyncDelegator,\n  __asyncValues,\n  __makeTemplateObject,\n  __importStar,\n  __importDefault,\n  __classPrivateFieldGet,\n  __classPrivateFieldSet,\n  __classPrivateFieldIn,\n  __addDisposableResource,\n  __disposeResources,\n};\n", "/**\n * Returns true if the object is a function.\n * @param value The value to check\n */\nexport function isFunction(value: any): value is (...args: any[]) => any {\n  return typeof value === 'function';\n}\n", "/**\n * Used to create Error subclasses until the community moves away from ES5.\n *\n * This is because compiling from TypeScript down to ES5 has issues with subclassing Errors\n * as well as other built-in types: https://github.com/Microsoft/TypeScript/issues/12123\n *\n * @param createImpl A factory function to create the actual constructor implementation. The returned\n * function should be a named function that calls `_super` internally.\n */\nexport function createErrorClass<T>(createImpl: (_super: any) => any): T {\n  const _super = (instance: any) => {\n    Error.call(instance);\n    instance.stack = new Error().stack;\n  };\n\n  const ctorFunc = createImpl(_super);\n  ctorFunc.prototype = Object.create(Error.prototype);\n  ctorFunc.prototype.constructor = ctorFunc;\n  return ctorFunc;\n}\n", "import { createErrorClass } from './createErrorClass';\n\nexport interface UnsubscriptionError extends Error {\n  readonly errors: any[];\n}\n\nexport interface UnsubscriptionErrorCtor {\n  /**\n   * @deprecated Internal implementation detail. Do not construct error instances.\n   * Cannot be tagged as internal: https://github.com/ReactiveX/rxjs/issues/6269\n   */\n  new (errors: any[]): UnsubscriptionError;\n}\n\n/**\n * An error thrown when one or more errors have occurred during the\n * `unsubscribe` of a {@link Subscription}.\n */\nexport const UnsubscriptionError: UnsubscriptionErrorCtor = createErrorClass(\n  (_super) =>\n    function UnsubscriptionErrorImpl(this: any, errors: (Error | string)[]) {\n      _super(this);\n      this.message = errors\n        ? `${errors.length} errors occurred during unsubscription:\n${errors.map((err, i) => `${i + 1}) ${err.toString()}`).join('\\n  ')}`\n        : '';\n      this.name = 'UnsubscriptionError';\n      this.errors = errors;\n    }\n);\n", "/**\n * Removes an item from an array, mutating it.\n * @param arr The array to remove the item from\n * @param item The item to remove\n */\nexport function arrRemove<T>(arr: T[] | undefined | null, item: T) {\n  if (arr) {\n    const index = arr.indexOf(item);\n    0 <= index && arr.splice(index, 1);\n  }\n}\n", "import { isFunction } from './util/isFunction';\nimport { UnsubscriptionError } from './util/UnsubscriptionError';\nimport { SubscriptionLike, TeardownLogic, Unsubscribable } from './types';\nimport { arrRemove } from './util/arrRemove';\n\n/**\n * Represents a disposable resource, such as the execution of an Observable. A\n * Subscription has one important method, `unsubscribe`, that takes no argument\n * and just disposes the resource held by the subscription.\n *\n * Additionally, subscriptions may be grouped together through the `add()`\n * method, which will attach a child Subscription to the current Subscription.\n * When a Subscription is unsubscribed, all its children (and its grandchildren)\n * will be unsubscribed as well.\n */\nexport class Subscription implements SubscriptionLike {\n  public static EMPTY = (() => {\n    const empty = new Subscription();\n    empty.closed = true;\n    return empty;\n  })();\n\n  /**\n   * A flag to indicate whether this Subscription has already been unsubscribed.\n   */\n  public closed = false;\n\n  private _parentage: Subscription[] | Subscription | null = null;\n\n  /**\n   * The list of registered finalizers to execute upon unsubscription. Adding and removing from this\n   * list occurs in the {@link #add} and {@link #remove} methods.\n   */\n  private _finalizers: Exclude<TeardownLogic, void>[] | null = null;\n\n  /**\n   * @param initialTeardown A function executed first as part of the finalization\n   * process that is kicked off when {@link #unsubscribe} is called.\n   */\n  constructor(private initialTeardown?: () => void) {}\n\n  /**\n   * Disposes the resources held by the subscription. May, for instance, cancel\n   * an ongoing Observable execution or cancel any other type of work that\n   * started when the Subscription was created.\n   */\n  unsubscribe(): void {\n    let errors: any[] | undefined;\n\n    if (!this.closed) {\n      this.closed = true;\n\n      // Remove this from it's parents.\n      const { _parentage } = this;\n      if (_parentage) {\n        this._parentage = null;\n        if (Array.isArray(_parentage)) {\n          for (const parent of _parentage) {\n            parent.remove(this);\n          }\n        } else {\n          _parentage.remove(this);\n        }\n      }\n\n      const { initialTeardown: initialFinalizer } = this;\n      if (isFunction(initialFinalizer)) {\n        try {\n          initialFinalizer();\n        } catch (e) {\n          errors = e instanceof UnsubscriptionError ? e.errors : [e];\n        }\n      }\n\n      const { _finalizers } = this;\n      if (_finalizers) {\n        this._finalizers = null;\n        for (const finalizer of _finalizers) {\n          try {\n            execFinalizer(finalizer);\n          } catch (err) {\n            errors = errors ?? [];\n            if (err instanceof UnsubscriptionError) {\n              errors = [...errors, ...err.errors];\n            } else {\n              errors.push(err);\n            }\n          }\n        }\n      }\n\n      if (errors) {\n        throw new UnsubscriptionError(errors);\n      }\n    }\n  }\n\n  /**\n   * Adds a finalizer to this subscription, so that finalization will be unsubscribed/called\n   * when this subscription is unsubscribed. If this subscription is already {@link #closed},\n   * because it has already been unsubscribed, then whatever finalizer is passed to it\n   * will automatically be executed (unless the finalizer itself is also a closed subscription).\n   *\n   * Closed Subscriptions cannot be added as finalizers to any subscription. Adding a closed\n   * subscription to a any subscription will result in no operation. (A noop).\n   *\n   * Adding a subscription to itself, or adding `null` or `undefined` will not perform any\n   * operation at all. (A noop).\n   *\n   * `Subscription` instances that are added to this instance will automatically remove themselves\n   * if they are unsubscribed. Functions and {@link Unsubscribable} objects that you wish to remove\n   * will need to be removed manually with {@link #remove}\n   *\n   * @param teardown The finalization logic to add to this subscription.\n   */\n  add(teardown: TeardownLogic): void {\n    // Only add the finalizer if it's not undefined\n    // and don't add a subscription to itself.\n    if (teardown && teardown !== this) {\n      if (this.closed) {\n        // If this subscription is already closed,\n        // execute whatever finalizer is handed to it automatically.\n        execFinalizer(teardown);\n      } else {\n        if (teardown instanceof Subscription) {\n          // We don't add closed subscriptions, and we don't add the same subscription\n          // twice. Subscription unsubscribe is idempotent.\n          if (teardown.closed || teardown._hasParent(this)) {\n            return;\n          }\n          teardown._addParent(this);\n        }\n        (this._finalizers = this._finalizers ?? []).push(teardown);\n      }\n    }\n  }\n\n  /**\n   * Checks to see if a this subscription already has a particular parent.\n   * This will signal that this subscription has already been added to the parent in question.\n   * @param parent the parent to check for\n   */\n  private _hasParent(parent: Subscription) {\n    const { _parentage } = this;\n    return _parentage === parent || (Array.isArray(_parentage) && _parentage.includes(parent));\n  }\n\n  /**\n   * Adds a parent to this subscription so it can be removed from the parent if it\n   * unsubscribes on it's own.\n   *\n   * NOTE: THIS ASSUMES THAT {@link _hasParent} HAS ALREADY BEEN CHECKED.\n   * @param parent The parent subscription to add\n   */\n  private _addParent(parent: Subscription) {\n    const { _parentage } = this;\n    this._parentage = Array.isArray(_parentage) ? (_parentage.push(parent), _parentage) : _parentage ? [_parentage, parent] : parent;\n  }\n\n  /**\n   * Called on a child when it is removed via {@link #remove}.\n   * @param parent The parent to remove\n   */\n  private _removeParent(parent: Subscription) {\n    const { _parentage } = this;\n    if (_parentage === parent) {\n      this._parentage = null;\n    } else if (Array.isArray(_parentage)) {\n      arrRemove(_parentage, parent);\n    }\n  }\n\n  /**\n   * Removes a finalizer from this subscription that was previously added with the {@link #add} method.\n   *\n   * Note that `Subscription` instances, when unsubscribed, will automatically remove themselves\n   * from every other `Subscription` they have been added to. This means that using the `remove` method\n   * is not a common thing and should be used thoughtfully.\n   *\n   * If you add the same finalizer instance of a function or an unsubscribable object to a `Subscription` instance\n   * more than once, you will need to call `remove` the same number of times to remove all instances.\n   *\n   * All finalizer instances are removed to free up memory upon unsubscription.\n   *\n   * @param teardown The finalizer to remove from this subscription\n   */\n  remove(teardown: Exclude<TeardownLogic, void>): void {\n    const { _finalizers } = this;\n    _finalizers && arrRemove(_finalizers, teardown);\n\n    if (teardown instanceof Subscription) {\n      teardown._removeParent(this);\n    }\n  }\n}\n\nexport const EMPTY_SUBSCRIPTION = Subscription.EMPTY;\n\nexport function isSubscription(value: any): value is Subscription {\n  return (\n    value instanceof Subscription ||\n    (value && 'closed' in value && isFunction(value.remove) && isFunction(value.add) && isFunction(value.unsubscribe))\n  );\n}\n\nfunction execFinalizer(finalizer: Unsubscribable | (() => void)) {\n  if (isFunction(finalizer)) {\n    finalizer();\n  } else {\n    finalizer.unsubscribe();\n  }\n}\n", "import { Subscriber } from './Subscriber';\nimport { ObservableNotification } from './types';\n\n/**\n * The {@link GlobalConfig} object for RxJS. It is used to configure things\n * like how to react on unhandled errors.\n */\nexport const config: GlobalConfig = {\n  onUnhandledError: null,\n  onStoppedNotification: null,\n  Promise: undefined,\n  useDeprecatedSynchronousErrorHandling: false,\n  useDeprecatedNextContext: false,\n};\n\n/**\n * The global configuration object for RxJS, used to configure things\n * like how to react on unhandled errors. Accessible via {@link config}\n * object.\n */\nexport interface GlobalConfig {\n  /**\n   * A registration point for unhandled errors from RxJS. These are errors that\n   * cannot were not handled by consuming code in the usual subscription path. For\n   * example, if you have this configured, and you subscribe to an observable without\n   * providing an error handler, errors from that subscription will end up here. This\n   * will _always_ be called asynchronously on another job in the runtime. This is because\n   * we do not want errors thrown in this user-configured handler to interfere with the\n   * behavior of the library.\n   */\n  onUnhandledError: ((err: any) => void) | null;\n\n  /**\n   * A registration point for notifications that cannot be sent to subscribers because they\n   * have completed, errored or have been explicitly unsubscribed. By default, next, complete\n   * and error notifications sent to stopped subscribers are noops. However, sometimes callers\n   * might want a different behavior. For example, with sources that attempt to report errors\n   * to stopped subscribers, a caller can configure RxJS to throw an unhandled error instead.\n   * This will _always_ be called asynchronously on another job in the runtime. This is because\n   * we do not want errors thrown in this user-configured handler to interfere with the\n   * behavior of the library.\n   */\n  onStoppedNotification: ((notification: ObservableNotification<any>, subscriber: Subscriber<any>) => void) | null;\n\n  /**\n   * The promise constructor used by default for {@link Observable#toPromise toPromise} and {@link Observable#forEach forEach}\n   * methods.\n   *\n   * @deprecated As of version 8, RxJS will no longer support this sort of injection of a\n   * Promise constructor. If you need a Promise implementation other than native promises,\n   * please polyfill/patch Promise as you see appropriate. Will be removed in v8.\n   */\n  Promise?: PromiseConstructorLike;\n\n  /**\n   * If true, turns on synchronous error rethrowing, which is a deprecated behavior\n   * in v6 and higher. This behavior enables bad patterns like wrapping a subscribe\n   * call in a try/catch block. It also enables producer interference, a nasty bug\n   * where a multicast can be broken for all observers by a downstream consumer with\n   * an unhandled error. DO NOT USE THIS FLAG UNLESS IT'S NEEDED TO BUY TIME\n   * FOR MIGRATION REASONS.\n   *\n   * @deprecated As of version 8, RxJS will no longer support synchronous throwing\n   * of unhandled errors. All errors will be thrown on a separate call stack to prevent bad\n   * behaviors described above. Will be removed in v8.\n   */\n  useDeprecatedSynchronousErrorHandling: boolean;\n\n  /**\n   * If true, enables an as-of-yet undocumented feature from v5: The ability to access\n   * `unsubscribe()` via `this` context in `next` functions created in observers passed\n   * to `subscribe`.\n   *\n   * This is being removed because the performance was severely problematic, and it could also cause\n   * issues when types other than POJOs are passed to subscribe as subscribers, as they will likely have\n   * their `this` context overwritten.\n   *\n   * @deprecated As of version 8, RxJS will no longer support altering the\n   * context of next functions provided as part of an observer to Subscribe. Instead,\n   * you will have access to a subscription or a signal or token that will allow you to do things like\n   * unsubscribe and test closed status. Will be removed in v8.\n   */\n  useDeprecatedNextContext: boolean;\n}\n", "import type { TimerHandle } from './timerHandle';\ntype SetTimeoutFunction = (handler: () => void, timeout?: number, ...args: any[]) => TimerHandle;\ntype ClearTimeoutFunction = (handle: TimerHandle) => void;\n\ninterface TimeoutProvider {\n  setTimeout: SetTimeoutFunction;\n  clearTimeout: ClearTimeoutFunction;\n  delegate:\n    | {\n        setTimeout: SetTimeoutFunction;\n        clearTimeout: ClearTimeoutFunction;\n      }\n    | undefined;\n}\n\nexport const timeoutProvider: TimeoutProvider = {\n  // When accessing the delegate, use the variable rather than `this` so that\n  // the functions can be called without being bound to the provider.\n  setTimeout(handler: () => void, timeout?: number, ...args) {\n    const { delegate } = timeoutProvider;\n    if (delegate?.setTimeout) {\n      return delegate.setTimeout(handler, timeout, ...args);\n    }\n    return setTimeout(handler, timeout, ...args);\n  },\n  clearTimeout(handle) {\n    const { delegate } = timeoutProvider;\n    return (delegate?.clearTimeout || clearTimeout)(handle as any);\n  },\n  delegate: undefined,\n};\n", "import { config } from '../config';\nimport { timeoutProvider } from '../scheduler/timeoutProvider';\n\n/**\n * Handles an error on another job either with the user-configured {@link onUnhandledError},\n * or by throwing it on that new job so it can be picked up by `window.onerror`, `process.on('error')`, etc.\n *\n * This should be called whenever there is an error that is out-of-band with the subscription\n * or when an error hits a terminal boundary of the subscription and no error handler was provided.\n *\n * @param err the error to report\n */\nexport function reportUnhandledError(err: any) {\n  timeoutProvider.setTimeout(() => {\n    const { onUnhandledError } = config;\n    if (onUnhandledError) {\n      // Execute the user-configured error handler.\n      onUnhandledError(err);\n    } else {\n      // Throw so it is picked up by the runtime's uncaught error mechanism.\n      throw err;\n    }\n  });\n}\n", "/* tslint:disable:no-empty */\nexport function noop() { }\n", "import { CompleteNotification, NextNotification, ErrorNotification } from './types';\n\n/**\n * A completion object optimized for memory use and created to be the\n * same \"shape\" as other notifications in v8.\n * @internal\n */\nexport const COMPLETE_NOTIFICATION = (() => createNotification('C', undefined, undefined) as CompleteNotification)();\n\n/**\n * Internal use only. Creates an optimized error notification that is the same \"shape\"\n * as other notifications.\n * @internal\n */\nexport function errorNotification(error: any): ErrorNotification {\n  return createNotification('E', undefined, error) as any;\n}\n\n/**\n * Internal use only. Creates an optimized next notification that is the same \"shape\"\n * as other notifications.\n * @internal\n */\nexport function nextNotification<T>(value: T) {\n  return createNotification('N', value, undefined) as NextNotification<T>;\n}\n\n/**\n * Ensures that all notifications created internally have the same \"shape\" in v8.\n *\n * TODO: This is only exported to support a crazy legacy test in `groupBy`.\n * @internal\n */\nexport function createNotification(kind: 'N' | 'E' | 'C', value: any, error: any) {\n  return {\n    kind,\n    value,\n    error,\n  };\n}\n", "import { config } from '../config';\n\nlet context: { errorThrown: boolean; error: any } | null = null;\n\n/**\n * Handles dealing with errors for super-gross mode. Creates a context, in which\n * any synchronously thrown errors will be passed to {@link captureError}. Which\n * will record the error such that it will be rethrown after the call back is complete.\n * TODO: Remove in v8\n * @param cb An immediately executed function.\n */\nexport function errorContext(cb: () => void) {\n  if (config.useDeprecatedSynchronousErrorHandling) {\n    const isRoot = !context;\n    if (isRoot) {\n      context = { errorThrown: false, error: null };\n    }\n    cb();\n    if (isRoot) {\n      const { errorThrown, error } = context!;\n      context = null;\n      if (errorThrown) {\n        throw error;\n      }\n    }\n  } else {\n    // This is the general non-deprecated path for everyone that\n    // isn't crazy enough to use super-gross mode (useDeprecatedSynchronousErrorHandling)\n    cb();\n  }\n}\n\n/**\n * Captures errors only in super-gross mode.\n * @param err the error to capture\n */\nexport function captureError(err: any) {\n  if (config.useDeprecatedSynchronousErrorHandling && context) {\n    context.errorThrown = true;\n    context.error = err;\n  }\n}\n", "import { isFunction } from './util/isFunction';\nimport { Observer, ObservableNotification } from './types';\nimport { isSubscription, Subscription } from './Subscription';\nimport { config } from './config';\nimport { reportUnhandledError } from './util/reportUnhandledError';\nimport { noop } from './util/noop';\nimport { nextNotification, errorNotification, COMPLETE_NOTIFICATION } from './NotificationFactories';\nimport { timeoutProvider } from './scheduler/timeoutProvider';\nimport { captureError } from './util/errorContext';\n\n/**\n * Implements the {@link Observer} interface and extends the\n * {@link Subscription} class. While the {@link Observer} is the public API for\n * consuming the values of an {@link Observable}, all Observers get converted to\n * a Subscriber, in order to provide Subscription-like capabilities such as\n * `unsubscribe`. Subscriber is a common type in RxJS, and crucial for\n * implementing operators, but it is rarely used as a public API.\n */\nexport class Subscriber<T> extends Subscription implements Observer<T> {\n  /**\n   * A static factory for a Subscriber, given a (potentially partial) definition\n   * of an Observer.\n   * @param next The `next` callback of an Observer.\n   * @param error The `error` callback of an\n   * Observer.\n   * @param complete The `complete` callback of an\n   * Observer.\n   * @return A Subscriber wrapping the (partially defined)\n   * Observer represented by the given arguments.\n   * @deprecated Do not use. Will be removed in v8. There is no replacement for this\n   * method, and there is no reason to be creating instances of `Subscriber` directly.\n   * If you have a specific use case, please file an issue.\n   */\n  static create<T>(next?: (x?: T) => void, error?: (e?: any) => void, complete?: () => void): Subscriber<T> {\n    return new SafeSubscriber(next, error, complete);\n  }\n\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  protected isStopped: boolean = false;\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  protected destination: Subscriber<any> | Observer<any>; // this `any` is the escape hatch to erase extra type param (e.g. R)\n\n  /**\n   * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n   * There is no reason to directly create an instance of Subscriber. This type is exported for typings reasons.\n   */\n  constructor(destination?: Subscriber<any> | Observer<any>) {\n    super();\n    if (destination) {\n      this.destination = destination;\n      // Automatically chain subscriptions together here.\n      // if destination is a Subscription, then it is a Subscriber.\n      if (isSubscription(destination)) {\n        destination.add(this);\n      }\n    } else {\n      this.destination = EMPTY_OBSERVER;\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive notifications of type `next` from\n   * the Observable, with a value. The Observable may call this method 0 or more\n   * times.\n   * @param value The `next` value.\n   */\n  next(value: T): void {\n    if (this.isStopped) {\n      handleStoppedNotification(nextNotification(value), this);\n    } else {\n      this._next(value!);\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive notifications of type `error` from\n   * the Observable, with an attached `Error`. Notifies the Observer that\n   * the Observable has experienced an error condition.\n   * @param err The `error` exception.\n   */\n  error(err?: any): void {\n    if (this.isStopped) {\n      handleStoppedNotification(errorNotification(err), this);\n    } else {\n      this.isStopped = true;\n      this._error(err);\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive a valueless notification of type\n   * `complete` from the Observable. Notifies the Observer that the Observable\n   * has finished sending push-based notifications.\n   */\n  complete(): void {\n    if (this.isStopped) {\n      handleStoppedNotification(COMPLETE_NOTIFICATION, this);\n    } else {\n      this.isStopped = true;\n      this._complete();\n    }\n  }\n\n  unsubscribe(): void {\n    if (!this.closed) {\n      this.isStopped = true;\n      super.unsubscribe();\n      this.destination = null!;\n    }\n  }\n\n  protected _next(value: T): void {\n    this.destination.next(value);\n  }\n\n  protected _error(err: any): void {\n    try {\n      this.destination.error(err);\n    } finally {\n      this.unsubscribe();\n    }\n  }\n\n  protected _complete(): void {\n    try {\n      this.destination.complete();\n    } finally {\n      this.unsubscribe();\n    }\n  }\n}\n\n/**\n * This bind is captured here because we want to be able to have\n * compatibility with monoid libraries that tend to use a method named\n * `bind`. In particular, a library called Monio requires this.\n */\nconst _bind = Function.prototype.bind;\n\nfunction bind<Fn extends (...args: any[]) => any>(fn: Fn, thisArg: any): Fn {\n  return _bind.call(fn, thisArg);\n}\n\n/**\n * Internal optimization only, DO NOT EXPOSE.\n * @internal\n */\nclass ConsumerObserver<T> implements Observer<T> {\n  constructor(private partialObserver: Partial<Observer<T>>) {}\n\n  next(value: T): void {\n    const { partialObserver } = this;\n    if (partialObserver.next) {\n      try {\n        partialObserver.next(value);\n      } catch (error) {\n        handleUnhandledError(error);\n      }\n    }\n  }\n\n  error(err: any): void {\n    const { partialObserver } = this;\n    if (partialObserver.error) {\n      try {\n        partialObserver.error(err);\n      } catch (error) {\n        handleUnhandledError(error);\n      }\n    } else {\n      handleUnhandledError(err);\n    }\n  }\n\n  complete(): void {\n    const { partialObserver } = this;\n    if (partialObserver.complete) {\n      try {\n        partialObserver.complete();\n      } catch (error) {\n        handleUnhandledError(error);\n      }\n    }\n  }\n}\n\nexport class SafeSubscriber<T> extends Subscriber<T> {\n  constructor(\n    observerOrNext?: Partial<Observer<T>> | ((value: T) => void) | null,\n    error?: ((e?: any) => void) | null,\n    complete?: (() => void) | null\n  ) {\n    super();\n\n    let partialObserver: Partial<Observer<T>>;\n    if (isFunction(observerOrNext) || !observerOrNext) {\n      // The first argument is a function, not an observer. The next\n      // two arguments *could* be observers, or they could be empty.\n      partialObserver = {\n        next: (observerOrNext ?? undefined) as ((value: T) => void) | undefined,\n        error: error ?? undefined,\n        complete: complete ?? undefined,\n      };\n    } else {\n      // The first argument is a partial observer.\n      let context: any;\n      if (this && config.useDeprecatedNextContext) {\n        // This is a deprecated path that made `this.unsubscribe()` available in\n        // next handler functions passed to subscribe. This only exists behind a flag\n        // now, as it is *very* slow.\n        context = Object.create(observerOrNext);\n        context.unsubscribe = () => this.unsubscribe();\n        partialObserver = {\n          next: observerOrNext.next && bind(observerOrNext.next, context),\n          error: observerOrNext.error && bind(observerOrNext.error, context),\n          complete: observerOrNext.complete && bind(observerOrNext.complete, context),\n        };\n      } else {\n        // The \"normal\" path. Just use the partial observer directly.\n        partialObserver = observerOrNext;\n      }\n    }\n\n    // Wrap the partial observer to ensure it's a full observer, and\n    // make sure proper error handling is accounted for.\n    this.destination = new ConsumerObserver(partialObserver);\n  }\n}\n\nfunction handleUnhandledError(error: any) {\n  if (config.useDeprecatedSynchronousErrorHandling) {\n    captureError(error);\n  } else {\n    // Ideal path, we report this as an unhandled error,\n    // which is thrown on a new call stack.\n    reportUnhandledError(error);\n  }\n}\n\n/**\n * An error handler used when no error handler was supplied\n * to the SafeSubscriber -- meaning no error handler was supplied\n * do the `subscribe` call on our observable.\n * @param err The error to handle\n */\nfunction defaultErrorHandler(err: any) {\n  throw err;\n}\n\n/**\n * A handler for notifications that cannot be sent to a stopped subscriber.\n * @param notification The notification being sent.\n * @param subscriber The stopped subscriber.\n */\nfunction handleStoppedNotification(notification: ObservableNotification<any>, subscriber: Subscriber<any>) {\n  const { onStoppedNotification } = config;\n  onStoppedNotification && timeoutProvider.setTimeout(() => onStoppedNotification(notification, subscriber));\n}\n\n/**\n * The observer used as a stub for subscriptions where the user did not\n * pass any arguments to `subscribe`. Comes with the default error handling\n * behavior.\n */\nexport const EMPTY_OBSERVER: Readonly<Observer<any>> & { closed: true } = {\n  closed: true,\n  next: noop,\n  error: defaultErrorHandler,\n  complete: noop,\n};\n", "/**\n * Symbol.observable or a string \"@@observable\". Used for interop\n *\n * @deprecated We will no longer be exporting this symbol in upcoming versions of RxJS.\n * Instead polyfill and use Symbol.observable directly *or* use https://www.npmjs.com/package/symbol-observable\n */\nexport const observable: string | symbol = (() => (typeof Symbol === 'function' && Symbol.observable) || '@@observable')();\n", "/**\n * This function takes one parameter and just returns it. Simply put,\n * this is like `<T>(x: T): T => x`.\n *\n * ## Examples\n *\n * This is useful in some cases when using things like `mergeMap`\n *\n * ```ts\n * import { interval, take, map, range, mergeMap, identity } from 'rxjs';\n *\n * const source$ = interval(1000).pipe(take(5));\n *\n * const result$ = source$.pipe(\n *   map(i => range(i)),\n *   mergeMap(identity) // same as mergeMap(x => x)\n * );\n *\n * result$.subscribe({\n *   next: console.log\n * });\n * ```\n *\n * Or when you want to selectively apply an operator\n *\n * ```ts\n * import { interval, take, identity } from 'rxjs';\n *\n * const shouldLimit = () => Math.random() < 0.5;\n *\n * const source$ = interval(1000);\n *\n * const result$ = source$.pipe(shouldLimit() ? take(5) : identity);\n *\n * result$.subscribe({\n *   next: console.log\n * });\n * ```\n *\n * @param x Any value that is returned by this function\n * @returns The value passed as the first parameter to this function\n */\nexport function identity<T>(x: T): T {\n  return x;\n}\n", "import { identity } from './identity';\nimport { UnaryFunction } from '../types';\n\nexport function pipe(): typeof identity;\nexport function pipe<T, A>(fn1: UnaryFunction<T, A>): UnaryFunction<T, A>;\nexport function pipe<T, A, B>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>): UnaryFunction<T, B>;\nexport function pipe<T, A, B, C>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>): UnaryFunction<T, C>;\nexport function pipe<T, A, B, C, D>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>\n): UnaryFunction<T, D>;\nexport function pipe<T, A, B, C, D, E>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>\n): UnaryFunction<T, E>;\nexport function pipe<T, A, B, C, D, E, F>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>,\n  fn6: UnaryFunction<E, F>\n): UnaryFunction<T, F>;\nexport function pipe<T, A, B, C, D, E, F, G>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>,\n  fn6: UnaryFunction<E, F>,\n  fn7: UnaryFunction<F, G>\n): UnaryFunction<T, G>;\nexport function pipe<T, A, B, C, D, E, F, G, H>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>,\n  fn6: UnaryFunction<E, F>,\n  fn7: UnaryFunction<F, G>,\n  fn8: UnaryFunction<G, H>\n): UnaryFunction<T, H>;\nexport function pipe<T, A, B, C, D, E, F, G, H, I>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>,\n  fn6: UnaryFunction<E, F>,\n  fn7: UnaryFunction<F, G>,\n  fn8: UnaryFunction<G, H>,\n  fn9: UnaryFunction<H, I>\n): UnaryFunction<T, I>;\nexport function pipe<T, A, B, C, D, E, F, G, H, I>(\n  fn1: UnaryFunction<T, A>,\n  fn2: UnaryFunction<A, B>,\n  fn3: UnaryFunction<B, C>,\n  fn4: UnaryFunction<C, D>,\n  fn5: UnaryFunction<D, E>,\n  fn6: UnaryFunction<E, F>,\n  fn7: UnaryFunction<F, G>,\n  fn8: UnaryFunction<G, H>,\n  fn9: UnaryFunction<H, I>,\n  ...fns: UnaryFunction<any, any>[]\n): UnaryFunction<T, unknown>;\n\n/**\n * pipe() can be called on one or more functions, each of which can take one argument (\"UnaryFunction\")\n * and uses it to return a value.\n * It returns a function that takes one argument, passes it to the first UnaryFunction, and then\n * passes the result to the next one, passes that result to the next one, and so on.  \n */\nexport function pipe(...fns: Array<UnaryFunction<any, any>>): UnaryFunction<any, any> {\n  return pipeFromArray(fns);\n}\n\n/** @internal */\nexport function pipeFromArray<T, R>(fns: Array<UnaryFunction<T, R>>): UnaryFunction<T, R> {\n  if (fns.length === 0) {\n    return identity as UnaryFunction<any, any>;\n  }\n\n  if (fns.length === 1) {\n    return fns[0];\n  }\n\n  return function piped(input: T): R {\n    return fns.reduce((prev: any, fn: UnaryFunction<T, R>) => fn(prev), input as any);\n  };\n}\n", "import { Operator } from './Operator';\nimport { SafeSubscriber, Subscriber } from './Subscriber';\nimport { isSubscription, Subscription } from './Subscription';\nimport { TeardownLogic, OperatorFunction, Subscribable, Observer } from './types';\nimport { observable as Symbol_observable } from './symbol/observable';\nimport { pipeFromArray } from './util/pipe';\nimport { config } from './config';\nimport { isFunction } from './util/isFunction';\nimport { errorContext } from './util/errorContext';\n\n/**\n * A representation of any set of values over any amount of time. This is the most basic building block\n * of RxJS.\n */\nexport class Observable<T> implements Subscribable<T> {\n  /**\n   * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n   */\n  source: Observable<any> | undefined;\n\n  /**\n   * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n   */\n  operator: Operator<any, T> | undefined;\n\n  /**\n   * @param subscribe The function that is called when the Observable is\n   * initially subscribed to. This function is given a Subscriber, to which new values\n   * can be `next`ed, or an `error` method can be called to raise an error, or\n   * `complete` can be called to notify of a successful completion.\n   */\n  constructor(subscribe?: (this: Observable<T>, subscriber: Subscriber<T>) => TeardownLogic) {\n    if (subscribe) {\n      this._subscribe = subscribe;\n    }\n  }\n\n  // HACK: Since TypeScript inherits static properties too, we have to\n  // fight against TypeScript here so Subject can have a different static create signature\n  /**\n   * Creates a new Observable by calling the Observable constructor\n   * @param subscribe the subscriber function to be passed to the Observable constructor\n   * @return A new observable.\n   * @deprecated Use `new Observable()` instead. Will be removed in v8.\n   */\n  static create: (...args: any[]) => any = <T>(subscribe?: (subscriber: Subscriber<T>) => TeardownLogic) => {\n    return new Observable<T>(subscribe);\n  };\n\n  /**\n   * Creates a new Observable, with this Observable instance as the source, and the passed\n   * operator defined as the new observable's operator.\n   * @param operator the operator defining the operation to take on the observable\n   * @return A new observable with the Operator applied.\n   * @deprecated Internal implementation detail, do not use directly. Will be made internal in v8.\n   * If you have implemented an operator using `lift`, it is recommended that you create an\n   * operator by simply returning `new Observable()` directly. See \"Creating new operators from\n   * scratch\" section here: https://rxjs.dev/guide/operators\n   */\n  lift<R>(operator?: Operator<T, R>): Observable<R> {\n    const observable = new Observable<R>();\n    observable.source = this;\n    observable.operator = operator;\n    return observable;\n  }\n\n  subscribe(observerOrNext?: Partial<Observer<T>> | ((value: T) => void)): Subscription;\n  /** @deprecated Instead of passing separate callback arguments, use an observer argument. Signatures taking separate callback arguments will be removed in v8. Details: https://rxjs.dev/deprecations/subscribe-arguments */\n  subscribe(next?: ((value: T) => void) | null, error?: ((error: any) => void) | null, complete?: (() => void) | null): Subscription;\n  /**\n   * Invokes an execution of an Observable and registers Observer handlers for notifications it will emit.\n   *\n   * <span class=\"informal\">Use it when you have all these Observables, but still nothing is happening.</span>\n   *\n   * `subscribe` is not a regular operator, but a method that calls Observable's internal `subscribe` function. It\n   * might be for example a function that you passed to Observable's constructor, but most of the time it is\n   * a library implementation, which defines what will be emitted by an Observable, and when it be will emitted. This means\n   * that calling `subscribe` is actually the moment when Observable starts its work, not when it is created, as it is often\n   * the thought.\n   *\n   * Apart from starting the execution of an Observable, this method allows you to listen for values\n   * that an Observable emits, as well as for when it completes or errors. You can achieve this in two\n   * of the following ways.\n   *\n   * The first way is creating an object that implements {@link Observer} interface. It should have methods\n   * defined by that interface, but note that it should be just a regular JavaScript object, which you can create\n   * yourself in any way you want (ES6 class, classic function constructor, object literal etc.). In particular, do\n   * not attempt to use any RxJS implementation details to create Observers - you don't need them. Remember also\n   * that your object does not have to implement all methods. If you find yourself creating a method that doesn't\n   * do anything, you can simply omit it. Note however, if the `error` method is not provided and an error happens,\n   * it will be thrown asynchronously. Errors thrown asynchronously cannot be caught using `try`/`catch`. Instead,\n   * use the {@link onUnhandledError} configuration option or use a runtime handler (like `window.onerror` or\n   * `process.on('error)`) to be notified of unhandled errors. Because of this, it's recommended that you provide\n   * an `error` method to avoid missing thrown errors.\n   *\n   * The second way is to give up on Observer object altogether and simply provide callback functions in place of its methods.\n   * This means you can provide three functions as arguments to `subscribe`, where the first function is equivalent\n   * of a `next` method, the second of an `error` method and the third of a `complete` method. Just as in case of an Observer,\n   * if you do not need to listen for something, you can omit a function by passing `undefined` or `null`,\n   * since `subscribe` recognizes these functions by where they were placed in function call. When it comes\n   * to the `error` function, as with an Observer, if not provided, errors emitted by an Observable will be thrown asynchronously.\n   *\n   * You can, however, subscribe with no parameters at all. This may be the case where you're not interested in terminal events\n   * and you also handled emissions internally by using operators (e.g. using `tap`).\n   *\n   * Whichever style of calling `subscribe` you use, in both cases it returns a Subscription object.\n   * This object allows you to call `unsubscribe` on it, which in turn will stop the work that an Observable does and will clean\n   * up all resources that an Observable used. Note that cancelling a subscription will not call `complete` callback\n   * provided to `subscribe` function, which is reserved for a regular completion signal that comes from an Observable.\n   *\n   * Remember that callbacks provided to `subscribe` are not guaranteed to be called asynchronously.\n   * It is an Observable itself that decides when these functions will be called. For example {@link of}\n   * by default emits all its values synchronously. Always check documentation for how given Observable\n   * will behave when subscribed and if its default behavior can be modified with a `scheduler`.\n   *\n   * #### Examples\n   *\n   * Subscribe with an {@link guide/observer Observer}\n   *\n   * ```ts\n   * import { of } from 'rxjs';\n   *\n   * const sumObserver = {\n   *   sum: 0,\n   *   next(value) {\n   *     console.log('Adding: ' + value);\n   *     this.sum = this.sum + value;\n   *   },\n   *   error() {\n   *     // We actually could just remove this method,\n   *     // since we do not really care about errors right now.\n   *   },\n   *   complete() {\n   *     console.log('Sum equals: ' + this.sum);\n   *   }\n   * };\n   *\n   * of(1, 2, 3) // Synchronously emits 1, 2, 3 and then completes.\n   *   .subscribe(sumObserver);\n   *\n   * // Logs:\n   * // 'Adding: 1'\n   * // 'Adding: 2'\n   * // 'Adding: 3'\n   * // 'Sum equals: 6'\n   * ```\n   *\n   * Subscribe with functions ({@link deprecations/subscribe-arguments deprecated})\n   *\n   * ```ts\n   * import { of } from 'rxjs'\n   *\n   * let sum = 0;\n   *\n   * of(1, 2, 3).subscribe(\n   *   value => {\n   *     console.log('Adding: ' + value);\n   *     sum = sum + value;\n   *   },\n   *   undefined,\n   *   () => console.log('Sum equals: ' + sum)\n   * );\n   *\n   * // Logs:\n   * // 'Adding: 1'\n   * // 'Adding: 2'\n   * // 'Adding: 3'\n   * // 'Sum equals: 6'\n   * ```\n   *\n   * Cancel a subscription\n   *\n   * ```ts\n   * import { interval } from 'rxjs';\n   *\n   * const subscription = interval(1000).subscribe({\n   *   next(num) {\n   *     console.log(num)\n   *   },\n   *   complete() {\n   *     // Will not be called, even when cancelling subscription.\n   *     console.log('completed!');\n   *   }\n   * });\n   *\n   * setTimeout(() => {\n   *   subscription.unsubscribe();\n   *   console.log('unsubscribed!');\n   * }, 2500);\n   *\n   * // Logs:\n   * // 0 after 1s\n   * // 1 after 2s\n   * // 'unsubscribed!' after 2.5s\n   * ```\n   *\n   * @param observerOrNext Either an {@link Observer} with some or all callback methods,\n   * or the `next` handler that is called for each value emitted from the subscribed Observable.\n   * @param error A handler for a terminal event resulting from an error. If no error handler is provided,\n   * the error will be thrown asynchronously as unhandled.\n   * @param complete A handler for a terminal event resulting from successful completion.\n   * @return A subscription reference to the registered handlers.\n   */\n  subscribe(\n    observerOrNext?: Partial<Observer<T>> | ((value: T) => void) | null,\n    error?: ((error: any) => void) | null,\n    complete?: (() => void) | null\n  ): Subscription {\n    const subscriber = isSubscriber(observerOrNext) ? observerOrNext : new SafeSubscriber(observerOrNext, error, complete);\n\n    errorContext(() => {\n      const { operator, source } = this;\n      subscriber.add(\n        operator\n          ? // We're dealing with a subscription in the\n            // operator chain to one of our lifted operators.\n            operator.call(subscriber, source)\n          : source\n          ? // If `source` has a value, but `operator` does not, something that\n            // had intimate knowledge of our API, like our `Subject`, must have\n            // set it. We're going to just call `_subscribe` directly.\n            this._subscribe(subscriber)\n          : // In all other cases, we're likely wrapping a user-provided initializer\n            // function, so we need to catch errors and handle them appropriately.\n            this._trySubscribe(subscriber)\n      );\n    });\n\n    return subscriber;\n  }\n\n  /** @internal */\n  protected _trySubscribe(sink: Subscriber<T>): TeardownLogic {\n    try {\n      return this._subscribe(sink);\n    } catch (err) {\n      // We don't need to return anything in this case,\n      // because it's just going to try to `add()` to a subscription\n      // above.\n      sink.error(err);\n    }\n  }\n\n  /**\n   * Used as a NON-CANCELLABLE means of subscribing to an observable, for use with\n   * APIs that expect promises, like `async/await`. You cannot unsubscribe from this.\n   *\n   * **WARNING**: Only use this with observables you *know* will complete. If the source\n   * observable does not complete, you will end up with a promise that is hung up, and\n   * potentially all of the state of an async function hanging out in memory. To avoid\n   * this situation, look into adding something like {@link timeout}, {@link take},\n   * {@link takeWhile}, or {@link takeUntil} amongst others.\n   *\n   * #### Example\n   *\n   * ```ts\n   * import { interval, take } from 'rxjs';\n   *\n   * const source$ = interval(1000).pipe(take(4));\n   *\n   * async function getTotal() {\n   *   let total = 0;\n   *\n   *   await source$.forEach(value => {\n   *     total += value;\n   *     console.log('observable -> ' + value);\n   *   });\n   *\n   *   return total;\n   * }\n   *\n   * getTotal().then(\n   *   total => console.log('Total: ' + total)\n   * );\n   *\n   * // Expected:\n   * // 'observable -> 0'\n   * // 'observable -> 1'\n   * // 'observable -> 2'\n   * // 'observable -> 3'\n   * // 'Total: 6'\n   * ```\n   *\n   * @param next A handler for each value emitted by the observable.\n   * @return A promise that either resolves on observable completion or\n   * rejects with the handled error.\n   */\n  forEach(next: (value: T) => void): Promise<void>;\n\n  /**\n   * @param next a handler for each value emitted by the observable\n   * @param promiseCtor a constructor function used to instantiate the Promise\n   * @return a promise that either resolves on observable completion or\n   *  rejects with the handled error\n   * @deprecated Passing a Promise constructor will no longer be available\n   * in upcoming versions of RxJS. This is because it adds weight to the library, for very\n   * little benefit. If you need this functionality, it is recommended that you either\n   * polyfill Promise, or you create an adapter to convert the returned native promise\n   * to whatever promise implementation you wanted. Will be removed in v8.\n   */\n  forEach(next: (value: T) => void, promiseCtor: PromiseConstructorLike): Promise<void>;\n\n  forEach(next: (value: T) => void, promiseCtor?: PromiseConstructorLike): Promise<void> {\n    promiseCtor = getPromiseCtor(promiseCtor);\n\n    return new promiseCtor<void>((resolve, reject) => {\n      const subscriber = new SafeSubscriber<T>({\n        next: (value) => {\n          try {\n            next(value);\n          } catch (err) {\n            reject(err);\n            subscriber.unsubscribe();\n          }\n        },\n        error: reject,\n        complete: resolve,\n      });\n      this.subscribe(subscriber);\n    }) as Promise<void>;\n  }\n\n  /** @internal */\n  protected _subscribe(subscriber: Subscriber<any>): TeardownLogic {\n    return this.source?.subscribe(subscriber);\n  }\n\n  /**\n   * An interop point defined by the es7-observable spec https://github.com/zenparsing/es-observable\n   * @return This instance of the observable.\n   */\n  [Symbol_observable]() {\n    return this;\n  }\n\n  /* tslint:disable:max-line-length */\n  pipe(): Observable<T>;\n  pipe<A>(op1: OperatorFunction<T, A>): Observable<A>;\n  pipe<A, B>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>): Observable<B>;\n  pipe<A, B, C>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>): Observable<C>;\n  pipe<A, B, C, D>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>\n  ): Observable<D>;\n  pipe<A, B, C, D, E>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>\n  ): Observable<E>;\n  pipe<A, B, C, D, E, F>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>,\n    op6: OperatorFunction<E, F>\n  ): Observable<F>;\n  pipe<A, B, C, D, E, F, G>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>,\n    op6: OperatorFunction<E, F>,\n    op7: OperatorFunction<F, G>\n  ): Observable<G>;\n  pipe<A, B, C, D, E, F, G, H>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>,\n    op6: OperatorFunction<E, F>,\n    op7: OperatorFunction<F, G>,\n    op8: OperatorFunction<G, H>\n  ): Observable<H>;\n  pipe<A, B, C, D, E, F, G, H, I>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>,\n    op6: OperatorFunction<E, F>,\n    op7: OperatorFunction<F, G>,\n    op8: OperatorFunction<G, H>,\n    op9: OperatorFunction<H, I>\n  ): Observable<I>;\n  pipe<A, B, C, D, E, F, G, H, I>(\n    op1: OperatorFunction<T, A>,\n    op2: OperatorFunction<A, B>,\n    op3: OperatorFunction<B, C>,\n    op4: OperatorFunction<C, D>,\n    op5: OperatorFunction<D, E>,\n    op6: OperatorFunction<E, F>,\n    op7: OperatorFunction<F, G>,\n    op8: OperatorFunction<G, H>,\n    op9: OperatorFunction<H, I>,\n    ...operations: OperatorFunction<any, any>[]\n  ): Observable<unknown>;\n  /* tslint:enable:max-line-length */\n\n  /**\n   * Used to stitch together functional operators into a chain.\n   *\n   * ## Example\n   *\n   * ```ts\n   * import { interval, filter, map, scan } from 'rxjs';\n   *\n   * interval(1000)\n   *   .pipe(\n   *     filter(x => x % 2 === 0),\n   *     map(x => x + x),\n   *     scan((acc, x) => acc + x)\n   *   )\n   *   .subscribe(x => console.log(x));\n   * ```\n   *\n   * @return The Observable result of all the operators having been called\n   * in the order they were passed in.\n   */\n  pipe(...operations: OperatorFunction<any, any>[]): Observable<any> {\n    return pipeFromArray(operations)(this);\n  }\n\n  /* tslint:disable:max-line-length */\n  /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n  toPromise(): Promise<T | undefined>;\n  /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n  toPromise(PromiseCtor: typeof Promise): Promise<T | undefined>;\n  /** @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise */\n  toPromise(PromiseCtor: PromiseConstructorLike): Promise<T | undefined>;\n  /* tslint:enable:max-line-length */\n\n  /**\n   * Subscribe to this Observable and get a Promise resolving on\n   * `complete` with the last emission (if any).\n   *\n   * **WARNING**: Only use this with observables you *know* will complete. If the source\n   * observable does not complete, you will end up with a promise that is hung up, and\n   * potentially all of the state of an async function hanging out in memory. To avoid\n   * this situation, look into adding something like {@link timeout}, {@link take},\n   * {@link takeWhile}, or {@link takeUntil} amongst others.\n   *\n   * @param [promiseCtor] a constructor function used to instantiate\n   * the Promise\n   * @return A Promise that resolves with the last value emit, or\n   * rejects on an error. If there were no emissions, Promise\n   * resolves with undefined.\n   * @deprecated Replaced with {@link firstValueFrom} and {@link lastValueFrom}. Will be removed in v8. Details: https://rxjs.dev/deprecations/to-promise\n   */\n  toPromise(promiseCtor?: PromiseConstructorLike): Promise<T | undefined> {\n    promiseCtor = getPromiseCtor(promiseCtor);\n\n    return new promiseCtor((resolve, reject) => {\n      let value: T | undefined;\n      this.subscribe(\n        (x: T) => (value = x),\n        (err: any) => reject(err),\n        () => resolve(value)\n      );\n    }) as Promise<T | undefined>;\n  }\n}\n\n/**\n * Decides between a passed promise constructor from consuming code,\n * A default configured promise constructor, and the native promise\n * constructor and returns it. If nothing can be found, it will throw\n * an error.\n * @param promiseCtor The optional promise constructor to passed by consuming code\n */\nfunction getPromiseCtor(promiseCtor: PromiseConstructorLike | undefined) {\n  return promiseCtor ?? config.Promise ?? Promise;\n}\n\nfunction isObserver<T>(value: any): value is Observer<T> {\n  return value && isFunction(value.next) && isFunction(value.error) && isFunction(value.complete);\n}\n\nfunction isSubscriber<T>(value: any): value is Subscriber<T> {\n  return (value && value instanceof Subscriber) || (isObserver(value) && isSubscription(value));\n}\n", "import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { OperatorFunction } from '../types';\nimport { isFunction } from './isFunction';\n\n/**\n * Used to determine if an object is an Observable with a lift function.\n */\nexport function hasLift(source: any): source is { lift: InstanceType<typeof Observable>['lift'] } {\n  return isFunction(source?.lift);\n}\n\n/**\n * Creates an `OperatorFunction`. Used to define operators throughout the library in a concise way.\n * @param init The logic to connect the liftedSource to the subscriber at the moment of subscription.\n */\nexport function operate<T, R>(\n  init: (liftedSource: Observable<T>, subscriber: Subscriber<R>) => (() => void) | void\n): OperatorFunction<T, R> {\n  return (source: Observable<T>) => {\n    if (hasLift(source)) {\n      return source.lift(function (this: Subscriber<R>, liftedSource: Observable<T>) {\n        try {\n          return init(liftedSource, this);\n        } catch (err) {\n          this.error(err);\n        }\n      });\n    }\n    throw new TypeError('Unable to lift unknown Observable type');\n  };\n}\n", "import { Subscriber } from '../Subscriber';\n\n/**\n * Creates an instance of an `OperatorSubscriber`.\n * @param destination The downstream subscriber.\n * @param onNext Handles next values, only called if this subscriber is not stopped or closed. Any\n * error that occurs in this function is caught and sent to the `error` method of this subscriber.\n * @param onError Handles errors from the subscription, any errors that occur in this handler are caught\n * and send to the `destination` error handler.\n * @param onComplete Handles completion notification from the subscription. Any errors that occur in\n * this handler are sent to the `destination` error handler.\n * @param onFinalize Additional teardown logic here. This will only be called on teardown if the\n * subscriber itself is not already closed. This is called after all other teardown logic is executed.\n */\nexport function createOperatorSubscriber<T>(\n  destination: Subscriber<any>,\n  onNext?: (value: T) => void,\n  onComplete?: () => void,\n  onError?: (err: any) => void,\n  onFinalize?: () => void\n): Subscriber<T> {\n  return new OperatorSubscriber(destination, onNext, onComplete, onError, onFinalize);\n}\n\n/**\n * A generic helper for allowing operators to be created with a Subscriber and\n * use closures to capture necessary state from the operator function itself.\n */\nexport class OperatorSubscriber<T> extends Subscriber<T> {\n  /**\n   * Creates an instance of an `OperatorSubscriber`.\n   * @param destination The downstream subscriber.\n   * @param onNext Handles next values, only called if this subscriber is not stopped or closed. Any\n   * error that occurs in this function is caught and sent to the `error` method of this subscriber.\n   * @param onError Handles errors from the subscription, any errors that occur in this handler are caught\n   * and send to the `destination` error handler.\n   * @param onComplete Handles completion notification from the subscription. Any errors that occur in\n   * this handler are sent to the `destination` error handler.\n   * @param onFinalize Additional finalization logic here. This will only be called on finalization if the\n   * subscriber itself is not already closed. This is called after all other finalization logic is executed.\n   * @param shouldUnsubscribe An optional check to see if an unsubscribe call should truly unsubscribe.\n   * NOTE: This currently **ONLY** exists to support the strange behavior of {@link groupBy}, where unsubscription\n   * to the resulting observable does not actually disconnect from the source if there are active subscriptions\n   * to any grouped observable. (DO NOT EXPOSE OR USE EXTERNALLY!!!)\n   */\n  constructor(\n    destination: Subscriber<any>,\n    onNext?: (value: T) => void,\n    onComplete?: () => void,\n    onError?: (err: any) => void,\n    private onFinalize?: () => void,\n    private shouldUnsubscribe?: () => boolean\n  ) {\n    // It's important - for performance reasons - that all of this class's\n    // members are initialized and that they are always initialized in the same\n    // order. This will ensure that all OperatorSubscriber instances have the\n    // same hidden class in V8. This, in turn, will help keep the number of\n    // hidden classes involved in property accesses within the base class as\n    // low as possible. If the number of hidden classes involved exceeds four,\n    // the property accesses will become megamorphic and performance penalties\n    // will be incurred - i.e. inline caches won't be used.\n    //\n    // The reasons for ensuring all instances have the same hidden class are\n    // further discussed in this blog post from Benedikt Meurer:\n    // https://benediktmeurer.de/2018/03/23/impact-of-polymorphism-on-component-based-frameworks-like-react/\n    super(destination);\n    this._next = onNext\n      ? function (this: OperatorSubscriber<T>, value: T) {\n          try {\n            onNext(value);\n          } catch (err) {\n            destination.error(err);\n          }\n        }\n      : super._next;\n    this._error = onError\n      ? function (this: OperatorSubscriber<T>, err: any) {\n          try {\n            onError(err);\n          } catch (err) {\n            // Send any errors that occur down stream.\n            destination.error(err);\n          } finally {\n            // Ensure finalization.\n            this.unsubscribe();\n          }\n        }\n      : super._error;\n    this._complete = onComplete\n      ? function (this: OperatorSubscriber<T>) {\n          try {\n            onComplete();\n          } catch (err) {\n            // Send any errors that occur down stream.\n            destination.error(err);\n          } finally {\n            // Ensure finalization.\n            this.unsubscribe();\n          }\n        }\n      : super._complete;\n  }\n\n  unsubscribe() {\n    if (!this.shouldUnsubscribe || this.shouldUnsubscribe()) {\n      const { closed } = this;\n      super.unsubscribe();\n      // Execute additional teardown if we have any and we didn't already do so.\n      !closed && this.onFinalize?.();\n    }\n  }\n}\n", "import { Subscription } from '../Subscription';\n\ninterface AnimationFrameProvider {\n  schedule(callback: FrameRequestCallback): Subscription;\n  requestAnimationFrame: typeof requestAnimationFrame;\n  cancelAnimationFrame: typeof cancelAnimationFrame;\n  delegate:\n    | {\n        requestAnimationFrame: typeof requestAnimationFrame;\n        cancelAnimationFrame: typeof cancelAnimationFrame;\n      }\n    | undefined;\n}\n\nexport const animationFrameProvider: AnimationFrameProvider = {\n  // When accessing the delegate, use the variable rather than `this` so that\n  // the functions can be called without being bound to the provider.\n  schedule(callback) {\n    let request = requestAnimationFrame;\n    let cancel: typeof cancelAnimationFrame | undefined = cancelAnimationFrame;\n    const { delegate } = animationFrameProvider;\n    if (delegate) {\n      request = delegate.requestAnimationFrame;\n      cancel = delegate.cancelAnimationFrame;\n    }\n    const handle = request((timestamp) => {\n      // Clear the cancel function. The request has been fulfilled, so\n      // attempting to cancel the request upon unsubscription would be\n      // pointless.\n      cancel = undefined;\n      callback(timestamp);\n    });\n    return new Subscription(() => cancel?.(handle));\n  },\n  requestAnimationFrame(...args) {\n    const { delegate } = animationFrameProvider;\n    return (delegate?.requestAnimationFrame || requestAnimationFrame)(...args);\n  },\n  cancelAnimationFrame(...args) {\n    const { delegate } = animationFrameProvider;\n    return (delegate?.cancelAnimationFrame || cancelAnimationFrame)(...args);\n  },\n  delegate: undefined,\n};\n", "import { createErrorClass } from './createErrorClass';\n\nexport interface ObjectUnsubscribedError extends Error {}\n\nexport interface ObjectUnsubscribedErrorCtor {\n  /**\n   * @deprecated Internal implementation detail. Do not construct error instances.\n   * Cannot be tagged as internal: https://github.com/ReactiveX/rxjs/issues/6269\n   */\n  new (): ObjectUnsubscribedError;\n}\n\n/**\n * An error thrown when an action is invalid because the object has been\n * unsubscribed.\n *\n * @see {@link Subject}\n * @see {@link BehaviorSubject}\n *\n * @class ObjectUnsubscribedError\n */\nexport const ObjectUnsubscribedError: ObjectUnsubscribedErrorCtor = createErrorClass(\n  (_super) =>\n    function ObjectUnsubscribedErrorImpl(this: any) {\n      _super(this);\n      this.name = 'ObjectUnsubscribedError';\n      this.message = 'object unsubscribed';\n    }\n);\n", "import { Operator } from './Operator';\nimport { Observable } from './Observable';\nimport { Subscriber } from './Subscriber';\nimport { Subscription, EMPTY_SUBSCRIPTION } from './Subscription';\nimport { Observer, SubscriptionLike, TeardownLogic } from './types';\nimport { ObjectUnsubscribedError } from './util/ObjectUnsubscribedError';\nimport { arrRemove } from './util/arrRemove';\nimport { errorContext } from './util/errorContext';\n\n/**\n * A Subject is a special type of Observable that allows values to be\n * multicasted to many Observers. Subjects are like EventEmitters.\n *\n * Every Subject is an Observable and an Observer. You can subscribe to a\n * Subject, and you can call next to feed values as well as error and complete.\n */\nexport class Subject<T> extends Observable<T> implements SubscriptionLike {\n  closed = false;\n\n  private currentObservers: Observer<T>[] | null = null;\n\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  observers: Observer<T>[] = [];\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  isStopped = false;\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  hasError = false;\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  thrownError: any = null;\n\n  /**\n   * Creates a \"subject\" by basically gluing an observer to an observable.\n   *\n   * @deprecated Recommended you do not use. Will be removed at some point in the future. Plans for replacement still under discussion.\n   */\n  static create: (...args: any[]) => any = <T>(destination: Observer<T>, source: Observable<T>): AnonymousSubject<T> => {\n    return new AnonymousSubject<T>(destination, source);\n  };\n\n  constructor() {\n    // NOTE: This must be here to obscure Observable's constructor.\n    super();\n  }\n\n  /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n  lift<R>(operator: Operator<T, R>): Observable<R> {\n    const subject = new AnonymousSubject(this, this);\n    subject.operator = operator as any;\n    return subject as any;\n  }\n\n  /** @internal */\n  protected _throwIfClosed() {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    }\n  }\n\n  next(value: T) {\n    errorContext(() => {\n      this._throwIfClosed();\n      if (!this.isStopped) {\n        if (!this.currentObservers) {\n          this.currentObservers = Array.from(this.observers);\n        }\n        for (const observer of this.currentObservers) {\n          observer.next(value);\n        }\n      }\n    });\n  }\n\n  error(err: any) {\n    errorContext(() => {\n      this._throwIfClosed();\n      if (!this.isStopped) {\n        this.hasError = this.isStopped = true;\n        this.thrownError = err;\n        const { observers } = this;\n        while (observers.length) {\n          observers.shift()!.error(err);\n        }\n      }\n    });\n  }\n\n  complete() {\n    errorContext(() => {\n      this._throwIfClosed();\n      if (!this.isStopped) {\n        this.isStopped = true;\n        const { observers } = this;\n        while (observers.length) {\n          observers.shift()!.complete();\n        }\n      }\n    });\n  }\n\n  unsubscribe() {\n    this.isStopped = this.closed = true;\n    this.observers = this.currentObservers = null!;\n  }\n\n  get observed() {\n    return this.observers?.length > 0;\n  }\n\n  /** @internal */\n  protected _trySubscribe(subscriber: Subscriber<T>): TeardownLogic {\n    this._throwIfClosed();\n    return super._trySubscribe(subscriber);\n  }\n\n  /** @internal */\n  protected _subscribe(subscriber: Subscriber<T>): Subscription {\n    this._throwIfClosed();\n    this._checkFinalizedStatuses(subscriber);\n    return this._innerSubscribe(subscriber);\n  }\n\n  /** @internal */\n  protected _innerSubscribe(subscriber: Subscriber<any>) {\n    const { hasError, isStopped, observers } = this;\n    if (hasError || isStopped) {\n      return EMPTY_SUBSCRIPTION;\n    }\n    this.currentObservers = null;\n    observers.push(subscriber);\n    return new Subscription(() => {\n      this.currentObservers = null;\n      arrRemove(observers, subscriber);\n    });\n  }\n\n  /** @internal */\n  protected _checkFinalizedStatuses(subscriber: Subscriber<any>) {\n    const { hasError, thrownError, isStopped } = this;\n    if (hasError) {\n      subscriber.error(thrownError);\n    } else if (isStopped) {\n      subscriber.complete();\n    }\n  }\n\n  /**\n   * Creates a new Observable with this Subject as the source. You can do this\n   * to create custom Observer-side logic of the Subject and conceal it from\n   * code that uses the Observable.\n   * @return Observable that this Subject casts to.\n   */\n  asObservable(): Observable<T> {\n    const observable: any = new Observable<T>();\n    observable.source = this;\n    return observable;\n  }\n}\n\nexport class AnonymousSubject<T> extends Subject<T> {\n  constructor(\n    /** @deprecated Internal implementation detail, do not use directly. Will be made internal in v8. */\n    public destination?: Observer<T>,\n    source?: Observable<T>\n  ) {\n    super();\n    this.source = source;\n  }\n\n  next(value: T) {\n    this.destination?.next?.(value);\n  }\n\n  error(err: any) {\n    this.destination?.error?.(err);\n  }\n\n  complete() {\n    this.destination?.complete?.();\n  }\n\n  /** @internal */\n  protected _subscribe(subscriber: Subscriber<T>): Subscription {\n    return this.source?.subscribe(subscriber) ?? EMPTY_SUBSCRIPTION;\n  }\n}\n", "import { Subject } from './Subject';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\n\n/**\n * A variant of Subject that requires an initial value and emits its current\n * value whenever it is subscribed to.\n */\nexport class BehaviorSubject<T> extends Subject<T> {\n  constructor(private _value: T) {\n    super();\n  }\n\n  get value(): T {\n    return this.getValue();\n  }\n\n  /** @internal */\n  protected _subscribe(subscriber: Subscriber<T>): Subscription {\n    const subscription = super._subscribe(subscriber);\n    !subscription.closed && subscriber.next(this._value);\n    return subscription;\n  }\n\n  getValue(): T {\n    const { hasError, thrownError, _value } = this;\n    if (hasError) {\n      throw thrownError;\n    }\n    this._throwIfClosed();\n    return _value;\n  }\n\n  next(value: T): void {\n    super.next((this._value = value));\n  }\n}\n", "import { TimestampProvider } from '../types';\n\ninterface DateTimestampProvider extends TimestampProvider {\n  delegate: TimestampProvider | undefined;\n}\n\nexport const dateTimestampProvider: DateTimestampProvider = {\n  now() {\n    // Use the variable rather than `this` so that the function can be called\n    // without being bound to the provider.\n    return (dateTimestampProvider.delegate || Date).now();\n  },\n  delegate: undefined,\n};\n", "import { Subject } from './Subject';\nimport { TimestampProvider } from './types';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { dateTimestampProvider } from './scheduler/dateTimestampProvider';\n\n/**\n * A variant of {@link Subject} that \"replays\" old values to new subscribers by emitting them when they first subscribe.\n *\n * `ReplaySubject` has an internal buffer that will store a specified number of values that it has observed. Like `Subject`,\n * `ReplaySubject` \"observes\" values by having them passed to its `next` method. When it observes a value, it will store that\n * value for a time determined by the configuration of the `ReplaySubject`, as passed to its constructor.\n *\n * When a new subscriber subscribes to the `ReplaySubject` instance, it will synchronously emit all values in its buffer in\n * a First-In-First-Out (FIFO) manner. The `ReplaySubject` will also complete, if it has observed completion; and it will\n * error if it has observed an error.\n *\n * There are two main configuration items to be concerned with:\n *\n * 1. `bufferSize` - This will determine how many items are stored in the buffer, defaults to infinite.\n * 2. `windowTime` - The amount of time to hold a value in the buffer before removing it from the buffer.\n *\n * Both configurations may exist simultaneously. So if you would like to buffer a maximum of 3 values, as long as the values\n * are less than 2 seconds old, you could do so with a `new ReplaySubject(3, 2000)`.\n *\n * ### Differences with BehaviorSubject\n *\n * `BehaviorSubject` is similar to `new ReplaySubject(1)`, with a couple of exceptions:\n *\n * 1. `BehaviorSubject` comes \"primed\" with a single value upon construction.\n * 2. `ReplaySubject` will replay values, even after observing an error, where `BehaviorSubject` will not.\n *\n * @see {@link Subject}\n * @see {@link BehaviorSubject}\n * @see {@link shareReplay}\n */\nexport class ReplaySubject<T> extends Subject<T> {\n  private _buffer: (T | number)[] = [];\n  private _infiniteTimeWindow = true;\n\n  /**\n   * @param _bufferSize The size of the buffer to replay on subscription\n   * @param _windowTime The amount of time the buffered items will stay buffered\n   * @param _timestampProvider An object with a `now()` method that provides the current timestamp. This is used to\n   * calculate the amount of time something has been buffered.\n   */\n  constructor(\n    private _bufferSize = Infinity,\n    private _windowTime = Infinity,\n    private _timestampProvider: TimestampProvider = dateTimestampProvider\n  ) {\n    super();\n    this._infiniteTimeWindow = _windowTime === Infinity;\n    this._bufferSize = Math.max(1, _bufferSize);\n    this._windowTime = Math.max(1, _windowTime);\n  }\n\n  next(value: T): void {\n    const { isStopped, _buffer, _infiniteTimeWindow, _timestampProvider, _windowTime } = this;\n    if (!isStopped) {\n      _buffer.push(value);\n      !_infiniteTimeWindow && _buffer.push(_timestampProvider.now() + _windowTime);\n    }\n    this._trimBuffer();\n    super.next(value);\n  }\n\n  /** @internal */\n  protected _subscribe(subscriber: Subscriber<T>): Subscription {\n    this._throwIfClosed();\n    this._trimBuffer();\n\n    const subscription = this._innerSubscribe(subscriber);\n\n    const { _infiniteTimeWindow, _buffer } = this;\n    // We use a copy here, so reentrant code does not mutate our array while we're\n    // emitting it to a new subscriber.\n    const copy = _buffer.slice();\n    for (let i = 0; i < copy.length && !subscriber.closed; i += _infiniteTimeWindow ? 1 : 2) {\n      subscriber.next(copy[i] as T);\n    }\n\n    this._checkFinalizedStatuses(subscriber);\n\n    return subscription;\n  }\n\n  private _trimBuffer() {\n    const { _bufferSize, _timestampProvider, _buffer, _infiniteTimeWindow } = this;\n    // If we don't have an infinite buffer size, and we're over the length,\n    // use splice to truncate the old buffer values off. Note that we have to\n    // double the size for instances where we're not using an infinite time window\n    // because we're storing the values and the timestamps in the same array.\n    const adjustedBufferSize = (_infiniteTimeWindow ? 1 : 2) * _bufferSize;\n    _bufferSize < Infinity && adjustedBufferSize < _buffer.length && _buffer.splice(0, _buffer.length - adjustedBufferSize);\n\n    // Now, if we're not in an infinite time window, remove all values where the time is\n    // older than what is allowed.\n    if (!_infiniteTimeWindow) {\n      const now = _timestampProvider.now();\n      let last = 0;\n      // Search the array for the first timestamp that isn't expired and\n      // truncate the buffer up to that point.\n      for (let i = 1; i < _buffer.length && (_buffer[i] as number) <= now; i += 2) {\n        last = i;\n      }\n      last && _buffer.splice(0, last + 1);\n    }\n  }\n}\n", "import { Scheduler } from '../Scheduler';\nimport { Subscription } from '../Subscription';\nimport { SchedulerAction } from '../types';\n\n/**\n * A unit of work to be executed in a `scheduler`. An action is typically\n * created from within a {@link SchedulerLike} and an RxJS user does not need to concern\n * themselves about creating and manipulating an Action.\n *\n * ```ts\n * class Action<T> extends Subscription {\n *   new (scheduler: Scheduler, work: (state?: T) => void);\n *   schedule(state?: T, delay: number = 0): Subscription;\n * }\n * ```\n */\nexport class Action<T> extends Subscription {\n  constructor(scheduler: Scheduler, work: (this: SchedulerAction<T>, state?: T) => void) {\n    super();\n  }\n  /**\n   * Schedules this action on its parent {@link SchedulerLike} for execution. May be passed\n   * some context object, `state`. May happen at some point in the future,\n   * according to the `delay` parameter, if specified.\n   * @param state Some contextual data that the `work` function uses when called by the\n   * Scheduler.\n   * @param delay Time to wait before executing the work, where the time unit is implicit\n   * and defined by the Scheduler.\n   * @return A subscription in order to be able to unsubscribe the scheduled work.\n   */\n  public schedule(state?: T, delay: number = 0): Subscription {\n    return this;\n  }\n}\n", "import type { TimerHandle } from './timerHandle';\ntype SetIntervalFunction = (handler: () => void, timeout?: number, ...args: any[]) => TimerHandle;\ntype ClearIntervalFunction = (handle: TimerHandle) => void;\n\ninterface IntervalProvider {\n  setInterval: SetIntervalFunction;\n  clearInterval: ClearIntervalFunction;\n  delegate:\n    | {\n        setInterval: SetIntervalFunction;\n        clearInterval: ClearIntervalFunction;\n      }\n    | undefined;\n}\n\nexport const intervalProvider: IntervalProvider = {\n  // When accessing the delegate, use the variable rather than `this` so that\n  // the functions can be called without being bound to the provider.\n  setInterval(handler: () => void, timeout?: number, ...args) {\n    const { delegate } = intervalProvider;\n    if (delegate?.setInterval) {\n      return delegate.setInterval(handler, timeout, ...args);\n    }\n    return setInterval(handler, timeout, ...args);\n  },\n  clearInterval(handle) {\n    const { delegate } = intervalProvider;\n    return (delegate?.clearInterval || clearInterval)(handle as any);\n  },\n  delegate: undefined,\n};\n", "import { Action } from './Action';\nimport { SchedulerAction } from '../types';\nimport { Subscription } from '../Subscription';\nimport { AsyncScheduler } from './AsyncScheduler';\nimport { intervalProvider } from './intervalProvider';\nimport { arrRemove } from '../util/arrRemove';\nimport { TimerHandle } from './timerHandle';\n\nexport class AsyncAction<T> extends Action<T> {\n  public id: TimerHandle | undefined;\n  public state?: T;\n  // @ts-ignore: Property has no initializer and is not definitely assigned\n  public delay: number;\n  protected pending: boolean = false;\n\n  constructor(protected scheduler: AsyncScheduler, protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  public schedule(state?: T, delay: number = 0): Subscription {\n    if (this.closed) {\n      return this;\n    }\n\n    // Always replace the current state with the new state.\n    this.state = state;\n\n    const id = this.id;\n    const scheduler = this.scheduler;\n\n    //\n    // Important implementation note:\n    //\n    // Actions only execute once by default, unless rescheduled from within the\n    // scheduled callback. This allows us to implement single and repeat\n    // actions via the same code path, without adding API surface area, as well\n    // as mimic traditional recursion but across asynchronous boundaries.\n    //\n    // However, JS runtimes and timers distinguish between intervals achieved by\n    // serial `setTimeout` calls vs. a single `setInterval` call. An interval of\n    // serial `setTimeout` calls can be individually delayed, which delays\n    // scheduling the next `setTimeout`, and so on. `setInterval` attempts to\n    // guarantee the interval callback will be invoked more precisely to the\n    // interval period, regardless of load.\n    //\n    // Therefore, we use `setInterval` to schedule single and repeat actions.\n    // If the action reschedules itself with the same delay, the interval is not\n    // canceled. If the action doesn't reschedule, or reschedules with a\n    // different delay, the interval will be canceled after scheduled callback\n    // execution.\n    //\n    if (id != null) {\n      this.id = this.recycleAsyncId(scheduler, id, delay);\n    }\n\n    // Set the pending flag indicating that this action has been scheduled, or\n    // has recursively rescheduled itself.\n    this.pending = true;\n\n    this.delay = delay;\n    // If this action has already an async Id, don't request a new one.\n    this.id = this.id ?? this.requestAsyncId(scheduler, this.id, delay);\n\n    return this;\n  }\n\n  protected requestAsyncId(scheduler: AsyncScheduler, _id?: TimerHandle, delay: number = 0): TimerHandle {\n    return intervalProvider.setInterval(scheduler.flush.bind(scheduler, this), delay);\n  }\n\n  protected recycleAsyncId(_scheduler: AsyncScheduler, id?: TimerHandle, delay: number | null = 0): TimerHandle | undefined {\n    // If this action is rescheduled with the same delay time, don't clear the interval id.\n    if (delay != null && this.delay === delay && this.pending === false) {\n      return id;\n    }\n    // Otherwise, if the action's delay time is different from the current delay,\n    // or the action has been rescheduled before it's executed, clear the interval id\n    if (id != null) {\n      intervalProvider.clearInterval(id);\n    }\n\n    return undefined;\n  }\n\n  /**\n   * Immediately executes this action and the `work` it contains.\n   */\n  public execute(state: T, delay: number): any {\n    if (this.closed) {\n      return new Error('executing a cancelled action');\n    }\n\n    this.pending = false;\n    const error = this._execute(state, delay);\n    if (error) {\n      return error;\n    } else if (this.pending === false && this.id != null) {\n      // Dequeue if the action didn't reschedule itself. Don't call\n      // unsubscribe(), because the action could reschedule later.\n      // For example:\n      // ```\n      // scheduler.schedule(function doWork(counter) {\n      //   /* ... I'm a busy worker bee ... */\n      //   var originalAction = this;\n      //   /* wait 100ms before rescheduling the action */\n      //   setTimeout(function () {\n      //     originalAction.schedule(counter + 1);\n      //   }, 100);\n      // }, 1000);\n      // ```\n      this.id = this.recycleAsyncId(this.scheduler, this.id, null);\n    }\n  }\n\n  protected _execute(state: T, _delay: number): any {\n    let errored: boolean = false;\n    let errorValue: any;\n    try {\n      this.work(state);\n    } catch (e) {\n      errored = true;\n      // HACK: Since code elsewhere is relying on the \"truthiness\" of the\n      // return here, we can't have it return \"\" or 0 or false.\n      // TODO: Clean this up when we refactor schedulers mid-version-8 or so.\n      errorValue = e ? e : new Error('Scheduled action threw falsy error');\n    }\n    if (errored) {\n      this.unsubscribe();\n      return errorValue;\n    }\n  }\n\n  unsubscribe() {\n    if (!this.closed) {\n      const { id, scheduler } = this;\n      const { actions } = scheduler;\n\n      this.work = this.state = this.scheduler = null!;\n      this.pending = false;\n\n      arrRemove(actions, this);\n      if (id != null) {\n        this.id = this.recycleAsyncId(scheduler, id, null);\n      }\n\n      this.delay = null!;\n      super.unsubscribe();\n    }\n  }\n}\n", "import { Action } from './scheduler/Action';\nimport { Subscription } from './Subscription';\nimport { SchedulerLike, SchedulerAction } from './types';\nimport { dateTimestampProvider } from './scheduler/dateTimestampProvider';\n\n/**\n * An execution context and a data structure to order tasks and schedule their\n * execution. Provides a notion of (potentially virtual) time, through the\n * `now()` getter method.\n *\n * Each unit of work in a Scheduler is called an `Action`.\n *\n * ```ts\n * class Scheduler {\n *   now(): number;\n *   schedule(work, delay?, state?): Subscription;\n * }\n * ```\n *\n * @deprecated Scheduler is an internal implementation detail of RxJS, and\n * should not be used directly. Rather, create your own class and implement\n * {@link SchedulerLike}. Will be made internal in v8.\n */\nexport class Scheduler implements SchedulerLike {\n  public static now: () => number = dateTimestampProvider.now;\n\n  constructor(private schedulerActionCtor: typeof Action, now: () => number = Scheduler.now) {\n    this.now = now;\n  }\n\n  /**\n   * A getter method that returns a number representing the current time\n   * (at the time this function was called) according to the scheduler's own\n   * internal clock.\n   * @return A number that represents the current time. May or may not\n   * have a relation to wall-clock time. May or may not refer to a time unit\n   * (e.g. milliseconds).\n   */\n  public now: () => number;\n\n  /**\n   * Schedules a function, `work`, for execution. May happen at some point in\n   * the future, according to the `delay` parameter, if specified. May be passed\n   * some context object, `state`, which will be passed to the `work` function.\n   *\n   * The given arguments will be processed an stored as an Action object in a\n   * queue of actions.\n   *\n   * @param work A function representing a task, or some unit of work to be\n   * executed by the Scheduler.\n   * @param delay Time to wait before executing the work, where the time unit is\n   * implicit and defined by the Scheduler itself.\n   * @param state Some contextual data that the `work` function uses when called\n   * by the Scheduler.\n   * @return A subscription in order to be able to unsubscribe the scheduled work.\n   */\n  public schedule<T>(work: (this: SchedulerAction<T>, state?: T) => void, delay: number = 0, state?: T): Subscription {\n    return new this.schedulerActionCtor<T>(this, work).schedule(state, delay);\n  }\n}\n", "import { Scheduler } from '../Scheduler';\nimport { Action } from './Action';\nimport { AsyncAction } from './AsyncAction';\nimport { TimerHandle } from './timerHandle';\n\nexport class AsyncScheduler extends Scheduler {\n  public actions: Array<AsyncAction<any>> = [];\n  /**\n   * A flag to indicate whether the Scheduler is currently executing a batch of\n   * queued actions.\n   * @internal\n   */\n  public _active: boolean = false;\n  /**\n   * An internal ID used to track the latest asynchronous task such as those\n   * coming from `setTimeout`, `setInterval`, `requestAnimationFrame`, and\n   * others.\n   * @internal\n   */\n  public _scheduled: TimerHandle | undefined;\n\n  constructor(SchedulerAction: typeof Action, now: () => number = Scheduler.now) {\n    super(SchedulerAction, now);\n  }\n\n  public flush(action: AsyncAction<any>): void {\n    const { actions } = this;\n\n    if (this._active) {\n      actions.push(action);\n      return;\n    }\n\n    let error: any;\n    this._active = true;\n\n    do {\n      if ((error = action.execute(action.state, action.delay))) {\n        break;\n      }\n    } while ((action = actions.shift()!)); // exhaust the scheduler queue\n\n    this._active = false;\n\n    if (error) {\n      while ((action = actions.shift()!)) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n", "import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\n/**\n *\n * Async Scheduler\n *\n * <span class=\"informal\">Schedule task as if you used setTimeout(task, duration)</span>\n *\n * `async` scheduler schedules tasks asynchronously, by putting them on the JavaScript\n * event loop queue. It is best used to delay tasks in time or to schedule tasks repeating\n * in intervals.\n *\n * If you just want to \"defer\" task, that is to perform it right after currently\n * executing synchronous code ends (commonly achieved by `setTimeout(deferredTask, 0)`),\n * better choice will be the {@link asapScheduler} scheduler.\n *\n * ## Examples\n * Use async scheduler to delay task\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * const task = () => console.log('it works!');\n *\n * asyncScheduler.schedule(task, 2000);\n *\n * // After 2 seconds logs:\n * // \"it works!\"\n * ```\n *\n * Use async scheduler to repeat task in intervals\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * function task(state) {\n *   console.log(state);\n *   this.schedule(state + 1, 1000); // `this` references currently executing Action,\n *                                   // which we reschedule with new state and delay\n * }\n *\n * asyncScheduler.schedule(task, 3000, 0);\n *\n * // Logs:\n * // 0 after 3s\n * // 1 after 4s\n * // 2 after 5s\n * // 3 after 6s\n * ```\n */\n\nexport const asyncScheduler = new AsyncScheduler(AsyncAction);\n\n/**\n * @deprecated Renamed to {@link asyncScheduler}. Will be removed in v8.\n */\nexport const async = asyncScheduler;\n", "import { AsyncAction } from './AsyncAction';\nimport { Subscription } from '../Subscription';\nimport { QueueScheduler } from './QueueScheduler';\nimport { SchedulerAction } from '../types';\nimport { TimerHandle } from './timerHandle';\n\nexport class QueueAction<T> extends AsyncAction<T> {\n  constructor(protected scheduler: QueueScheduler, protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  public schedule(state?: T, delay: number = 0): Subscription {\n    if (delay > 0) {\n      return super.schedule(state, delay);\n    }\n    this.delay = delay;\n    this.state = state;\n    this.scheduler.flush(this);\n    return this;\n  }\n\n  public execute(state: T, delay: number): any {\n    return delay > 0 || this.closed ? super.execute(state, delay) : this._execute(state, delay);\n  }\n\n  protected requestAsyncId(scheduler: QueueScheduler, id?: TimerHandle, delay: number = 0): TimerHandle {\n    // If delay exists and is greater than 0, or if the delay is null (the\n    // action wasn't rescheduled) but was originally scheduled as an async\n    // action, then recycle as an async action.\n\n    if ((delay != null && delay > 0) || (delay == null && this.delay > 0)) {\n      return super.requestAsyncId(scheduler, id, delay);\n    }\n\n    // Otherwise flush the scheduler starting with this action.\n    scheduler.flush(this);\n\n    // HACK: In the past, this was returning `void`. However, `void` isn't a valid\n    // `TimerHandle`, and generally the return value here isn't really used. So the\n    // compromise is to return `0` which is both \"falsy\" and a valid `TimerHandle`,\n    // as opposed to refactoring every other instanceo of `requestAsyncId`.\n    return 0;\n  }\n}\n", "import { AsyncScheduler } from './AsyncScheduler';\n\nexport class QueueScheduler extends AsyncScheduler {\n}\n", "import { QueueAction } from './QueueAction';\nimport { QueueScheduler } from './QueueScheduler';\n\n/**\n *\n * Queue Scheduler\n *\n * <span class=\"informal\">Put every next task on a queue, instead of executing it immediately</span>\n *\n * `queue` scheduler, when used with delay, behaves the same as {@link asyncScheduler} scheduler.\n *\n * When used without delay, it schedules given task synchronously - executes it right when\n * it is scheduled. However when called recursively, that is when inside the scheduled task,\n * another task is scheduled with queue scheduler, instead of executing immediately as well,\n * that task will be put on a queue and wait for current one to finish.\n *\n * This means that when you execute task with `queue` scheduler, you are sure it will end\n * before any other task scheduled with that scheduler will start.\n *\n * ## Examples\n * Schedule recursively first, then do something\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(() => {\n *   queueScheduler.schedule(() => console.log('second')); // will not happen now, but will be put on a queue\n *\n *   console.log('first');\n * });\n *\n * // Logs:\n * // \"first\"\n * // \"second\"\n * ```\n *\n * Reschedule itself recursively\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(function(state) {\n *   if (state !== 0) {\n *     console.log('before', state);\n *     this.schedule(state - 1); // `this` references currently executing Action,\n *                               // which we reschedule with new state\n *     console.log('after', state);\n *   }\n * }, 0, 3);\n *\n * // In scheduler that runs recursively, you would expect:\n * // \"before\", 3\n * // \"before\", 2\n * // \"before\", 1\n * // \"after\", 1\n * // \"after\", 2\n * // \"after\", 3\n *\n * // But with queue it logs:\n * // \"before\", 3\n * // \"after\", 3\n * // \"before\", 2\n * // \"after\", 2\n * // \"before\", 1\n * // \"after\", 1\n * ```\n */\n\nexport const queueScheduler = new QueueScheduler(QueueAction);\n\n/**\n * @deprecated Renamed to {@link queueScheduler}. Will be removed in v8.\n */\nexport const queue = queueScheduler;\n", "import { AsyncAction } from './AsyncAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\nimport { SchedulerAction } from '../types';\nimport { animationFrameProvider } from './animationFrameProvider';\nimport { TimerHandle } from './timerHandle';\n\nexport class AnimationFrameAction<T> extends AsyncAction<T> {\n  constructor(protected scheduler: AnimationFrameScheduler, protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  protected requestAsyncId(scheduler: AnimationFrameScheduler, id?: TimerHandle, delay: number = 0): TimerHandle {\n    // If delay is greater than 0, request as an async action.\n    if (delay !== null && delay > 0) {\n      return super.requestAsyncId(scheduler, id, delay);\n    }\n    // Push the action to the end of the scheduler queue.\n    scheduler.actions.push(this);\n    // If an animation frame has already been requested, don't request another\n    // one. If an animation frame hasn't been requested yet, request one. Return\n    // the current animation frame request id.\n    return scheduler._scheduled || (scheduler._scheduled = animationFrameProvider.requestAnimationFrame(() => scheduler.flush(undefined)));\n  }\n\n  protected recycleAsyncId(scheduler: AnimationFrameScheduler, id?: TimerHandle, delay: number = 0): TimerHandle | undefined {\n    // If delay exists and is greater than 0, or if the delay is null (the\n    // action wasn't rescheduled) but was originally scheduled as an async\n    // action, then recycle as an async action.\n    if (delay != null ? delay > 0 : this.delay > 0) {\n      return super.recycleAsyncId(scheduler, id, delay);\n    }\n    // If the scheduler queue has no remaining actions with the same async id,\n    // cancel the requested animation frame and set the scheduled flag to\n    // undefined so the next AnimationFrameAction will request its own.\n    const { actions } = scheduler;\n    if (id != null && id === scheduler._scheduled && actions[actions.length - 1]?.id !== id) {\n      animationFrameProvider.cancelAnimationFrame(id as number);\n      scheduler._scheduled = undefined;\n    }\n    // Return undefined so the action knows to request a new async id if it's rescheduled.\n    return undefined;\n  }\n}\n", "import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\nexport class AnimationFrameScheduler extends AsyncScheduler {\n  public flush(action?: AsyncAction<any>): void {\n    this._active = true;\n    // The async id that effects a call to flush is stored in _scheduled.\n    // Before executing an action, it's necessary to check the action's async\n    // id to determine whether it's supposed to be executed in the current\n    // flush.\n    // Previous implementations of this method used a count to determine this,\n    // but that was unsound, as actions that are unsubscribed - i.e. cancelled -\n    // are removed from the actions array and that can shift actions that are\n    // scheduled to be executed in a subsequent flush into positions at which\n    // they are executed within the current flush.\n    let flushId;\n    if (action) {\n      flushId = action.id;\n    } else {\n      flushId = this._scheduled;\n      this._scheduled = undefined;\n    }\n\n    const { actions } = this;\n    let error: any;\n    action = action || actions.shift()!;\n\n    do {\n      if ((error = action.execute(action.state, action.delay))) {\n        break;\n      }\n    } while ((action = actions[0]) && action.id === flushId && actions.shift());\n\n    this._active = false;\n\n    if (error) {\n      while ((action = actions[0]) && action.id === flushId && actions.shift()) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n", "import { AnimationFrameAction } from './AnimationFrameAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\n\n/**\n *\n * Animation Frame Scheduler\n *\n * <span class=\"informal\">Perform task when `window.requestAnimationFrame` would fire</span>\n *\n * When `animationFrame` scheduler is used with delay, it will fall back to {@link asyncScheduler} scheduler\n * behaviour.\n *\n * Without delay, `animationFrame` scheduler can be used to create smooth browser animations.\n * It makes sure scheduled task will happen just before next browser content repaint,\n * thus performing animations as efficiently as possible.\n *\n * ## Example\n * Schedule div height animation\n * ```ts\n * // html: <div style=\"background: #0ff;\"></div>\n * import { animationFrameScheduler } from 'rxjs';\n *\n * const div = document.querySelector('div');\n *\n * animationFrameScheduler.schedule(function(height) {\n *   div.style.height = height + \"px\";\n *\n *   this.schedule(height + 1);  // `this` references currently executing Action,\n *                               // which we reschedule with new state\n * }, 0, 0);\n *\n * // You will see a div element growing in height\n * ```\n */\n\nexport const animationFrameScheduler = new AnimationFrameScheduler(AnimationFrameAction);\n\n/**\n * @deprecated Renamed to {@link animationFrameScheduler}. Will be removed in v8.\n */\nexport const animationFrame = animationFrameScheduler;\n", "import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\n\n/**\n * A simple Observable that emits no items to the Observer and immediately\n * emits a complete notification.\n *\n * <span class=\"informal\">Just emits 'complete', and nothing else.</span>\n *\n * ![](empty.png)\n *\n * A simple Observable that only emits the complete notification. It can be used\n * for composing with other Observables, such as in a {@link mergeMap}.\n *\n * ## Examples\n *\n * Log complete notification\n *\n * ```ts\n * import { EMPTY } from 'rxjs';\n *\n * EMPTY.subscribe({\n *   next: () => console.log('Next'),\n *   complete: () => console.log('Complete!')\n * });\n *\n * // Outputs\n * // Complete!\n * ```\n *\n * Emit the number 7, then complete\n *\n * ```ts\n * import { EMPTY, startWith } from 'rxjs';\n *\n * const result = EMPTY.pipe(startWith(7));\n * result.subscribe(x => console.log(x));\n *\n * // Outputs\n * // 7\n * ```\n *\n * Map and flatten only odd numbers to the sequence `'a'`, `'b'`, `'c'`\n *\n * ```ts\n * import { interval, mergeMap, of, EMPTY } from 'rxjs';\n *\n * const interval$ = interval(1000);\n * const result = interval$.pipe(\n *   mergeMap(x => x % 2 === 1 ? of('a', 'b', 'c') : EMPTY),\n * );\n * result.subscribe(x => console.log(x));\n *\n * // Results in the following to the console:\n * // x is equal to the count on the interval, e.g. (0, 1, 2, 3, ...)\n * // x will occur every 1000ms\n * // if x % 2 is equal to 1, print a, b, c (each on its own)\n * // if x % 2 is not equal to 1, nothing will be output\n * ```\n *\n * @see {@link Observable}\n * @see {@link NEVER}\n * @see {@link of}\n * @see {@link throwError}\n */\nexport const EMPTY = new Observable<never>((subscriber) => subscriber.complete());\n\n/**\n * @param scheduler A {@link SchedulerLike} to use for scheduling\n * the emission of the complete notification.\n * @deprecated Replaced with the {@link EMPTY} constant or {@link scheduled} (e.g. `scheduled([], scheduler)`). Will be removed in v8.\n */\nexport function empty(scheduler?: SchedulerLike) {\n  return scheduler ? emptyScheduled(scheduler) : EMPTY;\n}\n\nfunction emptyScheduled(scheduler: SchedulerLike) {\n  return new Observable<never>((subscriber) => scheduler.schedule(() => subscriber.complete()));\n}\n", "import { SchedulerLike } from '../types';\nimport { isFunction } from './isFunction';\n\nexport function isScheduler(value: any): value is SchedulerLike {\n  return value && isFunction(value.schedule);\n}\n", "import { SchedulerLike } from '../types';\nimport { isFunction } from './isFunction';\nimport { isScheduler } from './isScheduler';\n\nfunction last<T>(arr: T[]): T | undefined {\n  return arr[arr.length - 1];\n}\n\nexport function popResultSelector(args: any[]): ((...args: unknown[]) => unknown) | undefined {\n  return isFunction(last(args)) ? args.pop() : undefined;\n}\n\nexport function popScheduler(args: any[]): SchedulerLike | undefined {\n  return isScheduler(last(args)) ? args.pop() : undefined;\n}\n\nexport function popNumber(args: any[], defaultValue: number): number {\n  return typeof last(args) === 'number' ? args.pop()! : defaultValue;\n}\n", "export const isArrayLike = (<T>(x: any): x is ArrayLike<T> => x && typeof x.length === 'number' && typeof x !== 'function');", "import { isFunction } from \"./isFunction\";\n\n/**\n * Tests to see if the object is \"thennable\".\n * @param value the object to test\n */\nexport function isPromise(value: any): value is PromiseLike<any> {\n  return isFunction(value?.then);\n}\n", "import { InteropObservable } from '../types';\nimport { observable as Symbol_observable } from '../symbol/observable';\nimport { isFunction } from './isFunction';\n\n/** Identifies an input as being Observable (but not necessary an Rx Observable) */\nexport function isInteropObservable(input: any): input is InteropObservable<any> {\n  return isFunction(input[Symbol_observable]);\n}\n", "import { isFunction } from './isFunction';\n\nexport function isAsyncIterable<T>(obj: any): obj is AsyncIterable<T> {\n  return Symbol.asyncIterator && isFunction(obj?.[Symbol.asyncIterator]);\n}\n", "/**\n * Creates the TypeError to throw if an invalid object is passed to `from` or `scheduled`.\n * @param input The object that was passed.\n */\nexport function createInvalidObservableTypeError(input: any) {\n  // TODO: We should create error codes that can be looked up, so this can be less verbose.\n  return new TypeError(\n    `You provided ${\n      input !== null && typeof input === 'object' ? 'an invalid object' : `'${input}'`\n    } where a stream was expected. You can provide an Observable, Promise, ReadableStream, Array, AsyncIterable, or Iterable.`\n  );\n}\n", "export function getSymbolIterator(): symbol {\n  if (typeof Symbol !== 'function' || !Symbol.iterator) {\n    return '@@iterator' as any;\n  }\n\n  return Symbol.iterator;\n}\n\nexport const iterator = getSymbolIterator();\n", "import { iterator as Symbol_iterator } from '../symbol/iterator';\nimport { isFunction } from './isFunction';\n\n/** Identifies an input as being an Iterable */\nexport function isIterable(input: any): input is Iterable<any> {\n  return isFunction(input?.[Symbol_iterator]);\n}\n", "import { ReadableStreamLike } from '../types';\nimport { isFunction } from './isFunction';\n\nexport async function* readableStreamLikeToAsyncGenerator<T>(readableStream: ReadableStreamLike<T>): AsyncGenerator<T> {\n  const reader = readableStream.getReader();\n  try {\n    while (true) {\n      const { value, done } = await reader.read();\n      if (done) {\n        return;\n      }\n      yield value!;\n    }\n  } finally {\n    reader.releaseLock();\n  }\n}\n\nexport function isReadableStreamLike<T>(obj: any): obj is ReadableStreamLike<T> {\n  // We don't want to use instanceof checks because they would return\n  // false for instances from another Realm, like an <iframe>.\n  return isFunction(obj?.getReader);\n}\n", "import { isArrayLike } from '../util/isArrayLike';\nimport { isPromise } from '../util/isPromise';\nimport { Observable } from '../Observable';\nimport { ObservableInput, ObservedValueOf, ReadableStreamLike } from '../types';\nimport { isInteropObservable } from '../util/isInteropObservable';\nimport { isAsyncIterable } from '../util/isAsyncIterable';\nimport { createInvalidObservableTypeError } from '../util/throwUnobservableError';\nimport { isIterable } from '../util/isIterable';\nimport { isReadableStreamLike, readableStreamLikeToAsyncGenerator } from '../util/isReadableStreamLike';\nimport { Subscriber } from '../Subscriber';\nimport { isFunction } from '../util/isFunction';\nimport { reportUnhandledError } from '../util/reportUnhandledError';\nimport { observable as Symbol_observable } from '../symbol/observable';\n\nexport function innerFrom<O extends ObservableInput<any>>(input: O): Observable<ObservedValueOf<O>>;\nexport function innerFrom<T>(input: ObservableInput<T>): Observable<T> {\n  if (input instanceof Observable) {\n    return input;\n  }\n  if (input != null) {\n    if (isInteropObservable(input)) {\n      return fromInteropObservable(input);\n    }\n    if (isArrayLike(input)) {\n      return fromArrayLike(input);\n    }\n    if (isPromise(input)) {\n      return fromPromise(input);\n    }\n    if (isAsyncIterable(input)) {\n      return fromAsyncIterable(input);\n    }\n    if (isIterable(input)) {\n      return fromIterable(input);\n    }\n    if (isReadableStreamLike(input)) {\n      return fromReadableStreamLike(input);\n    }\n  }\n\n  throw createInvalidObservableTypeError(input);\n}\n\n/**\n * Creates an RxJS Observable from an object that implements `Symbol.observable`.\n * @param obj An object that properly implements `Symbol.observable`.\n */\nexport function fromInteropObservable<T>(obj: any) {\n  return new Observable((subscriber: Subscriber<T>) => {\n    const obs = obj[Symbol_observable]();\n    if (isFunction(obs.subscribe)) {\n      return obs.subscribe(subscriber);\n    }\n    // Should be caught by observable subscribe function error handling.\n    throw new TypeError('Provided object does not correctly implement Symbol.observable');\n  });\n}\n\n/**\n * Synchronously emits the values of an array like and completes.\n * This is exported because there are creation functions and operators that need to\n * make direct use of the same logic, and there's no reason to make them run through\n * `from` conditionals because we *know* they're dealing with an array.\n * @param array The array to emit values from\n */\nexport function fromArrayLike<T>(array: ArrayLike<T>) {\n  return new Observable((subscriber: Subscriber<T>) => {\n    // Loop over the array and emit each value. Note two things here:\n    // 1. We're making sure that the subscriber is not closed on each loop.\n    //    This is so we don't continue looping over a very large array after\n    //    something like a `take`, `takeWhile`, or other synchronous unsubscription\n    //    has already unsubscribed.\n    // 2. In this form, reentrant code can alter that array we're looping over.\n    //    This is a known issue, but considered an edge case. The alternative would\n    //    be to copy the array before executing the loop, but this has\n    //    performance implications.\n    for (let i = 0; i < array.length && !subscriber.closed; i++) {\n      subscriber.next(array[i]);\n    }\n    subscriber.complete();\n  });\n}\n\nexport function fromPromise<T>(promise: PromiseLike<T>) {\n  return new Observable((subscriber: Subscriber<T>) => {\n    promise\n      .then(\n        (value) => {\n          if (!subscriber.closed) {\n            subscriber.next(value);\n            subscriber.complete();\n          }\n        },\n        (err: any) => subscriber.error(err)\n      )\n      .then(null, reportUnhandledError);\n  });\n}\n\nexport function fromIterable<T>(iterable: Iterable<T>) {\n  return new Observable((subscriber: Subscriber<T>) => {\n    for (const value of iterable) {\n      subscriber.next(value);\n      if (subscriber.closed) {\n        return;\n      }\n    }\n    subscriber.complete();\n  });\n}\n\nexport function fromAsyncIterable<T>(asyncIterable: AsyncIterable<T>) {\n  return new Observable((subscriber: Subscriber<T>) => {\n    process(asyncIterable, subscriber).catch((err) => subscriber.error(err));\n  });\n}\n\nexport function fromReadableStreamLike<T>(readableStream: ReadableStreamLike<T>) {\n  return fromAsyncIterable(readableStreamLikeToAsyncGenerator(readableStream));\n}\n\nasync function process<T>(asyncIterable: AsyncIterable<T>, subscriber: Subscriber<T>) {\n  for await (const value of asyncIterable) {\n    subscriber.next(value);\n    // A side-effect may have closed our subscriber,\n    // check before the next iteration.\n    if (subscriber.closed) {\n      return;\n    }\n  }\n  subscriber.complete();\n}\n", "import { Subscription } from '../Subscription';\nimport { SchedulerAction, SchedulerLike } from '../types';\n\nexport function executeSchedule(\n  parentSubscription: Subscription,\n  scheduler: SchedulerLike,\n  work: () => void,\n  delay: number,\n  repeat: true\n): void;\nexport function executeSchedule(\n  parentSubscription: Subscription,\n  scheduler: SchedulerLike,\n  work: () => void,\n  delay?: number,\n  repeat?: false\n): Subscription;\n\nexport function executeSchedule(\n  parentSubscription: Subscription,\n  scheduler: SchedulerLike,\n  work: () => void,\n  delay = 0,\n  repeat = false\n): Subscription | void {\n  const scheduleSubscription = scheduler.schedule(function (this: SchedulerAction<any>) {\n    work();\n    if (repeat) {\n      parentSubscription.add(this.schedule(null, delay));\n    } else {\n      this.unsubscribe();\n    }\n  }, delay);\n\n  parentSubscription.add(scheduleSubscription);\n\n  if (!repeat) {\n    // Because user-land scheduler implementations are unlikely to properly reuse\n    // Actions for repeat scheduling, we can't trust that the returned subscription\n    // will control repeat subscription scenarios. So we're trying to avoid using them\n    // incorrectly within this library.\n    return scheduleSubscription;\n  }\n}\n", "/** @prettier */\nimport { MonoTypeOperatorFunction, SchedulerLike } from '../types';\nimport { executeSchedule } from '../util/executeSchedule';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Re-emits all notifications from source Observable with specified scheduler.\n *\n * <span class=\"informal\">Ensure a specific scheduler is used, from outside of an Observable.</span>\n *\n * `observeOn` is an operator that accepts a scheduler as a first parameter, which will be used to reschedule\n * notifications emitted by the source Observable. It might be useful, if you do not have control over\n * internal scheduler of a given Observable, but want to control when its values are emitted nevertheless.\n *\n * Returned Observable emits the same notifications (nexted values, complete and error events) as the source Observable,\n * but rescheduled with provided scheduler. Note that this doesn't mean that source Observables internal\n * scheduler will be replaced in any way. Original scheduler still will be used, but when the source Observable emits\n * notification, it will be immediately scheduled again - this time with scheduler passed to `observeOn`.\n * An anti-pattern would be calling `observeOn` on Observable that emits lots of values synchronously, to split\n * that emissions into asynchronous chunks. For this to happen, scheduler would have to be passed into the source\n * Observable directly (usually into the operator that creates it). `observeOn` simply delays notifications a\n * little bit more, to ensure that they are emitted at expected moments.\n *\n * As a matter of fact, `observeOn` accepts second parameter, which specifies in milliseconds with what delay notifications\n * will be emitted. The main difference between {@link delay} operator and `observeOn` is that `observeOn`\n * will delay all notifications - including error notifications - while `delay` will pass through error\n * from source Observable immediately when it is emitted. In general it is highly recommended to use `delay` operator\n * for any kind of delaying of values in the stream, while using `observeOn` to specify which scheduler should be used\n * for notification emissions in general.\n *\n * ## Example\n *\n * Ensure values in subscribe are called just before browser repaint\n *\n * ```ts\n * import { interval, observeOn, animationFrameScheduler } from 'rxjs';\n *\n * const someDiv = document.createElement('div');\n * someDiv.style.cssText = 'width: 200px;background: #09c';\n * document.body.appendChild(someDiv);\n * const intervals = interval(10);      // Intervals are scheduled\n *                                      // with async scheduler by default...\n * intervals.pipe(\n *   observeOn(animationFrameScheduler) // ...but we will observe on animationFrame\n * )                                    // scheduler to ensure smooth animation.\n * .subscribe(val => {\n *   someDiv.style.height = val + 'px';\n * });\n * ```\n *\n * @see {@link delay}\n *\n * @param scheduler Scheduler that will be used to reschedule notifications from source Observable.\n * @param delay Number of milliseconds that states with what delay every notification should be rescheduled.\n * @return A function that returns an Observable that emits the same\n * notifications as the source Observable, but with provided scheduler.\n */\nexport function observeOn<T>(scheduler: SchedulerLike, delay = 0): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => executeSchedule(subscriber, scheduler, () => subscriber.next(value), delay),\n        () => executeSchedule(subscriber, scheduler, () => subscriber.complete(), delay),\n        (err) => executeSchedule(subscriber, scheduler, () => subscriber.error(err), delay)\n      )\n    );\n  });\n}\n", "import { MonoTypeOperatorFunction, SchedulerLike } from '../types';\nimport { operate } from '../util/lift';\n\n/**\n * Asynchronously subscribes Observers to this Observable on the specified {@link SchedulerLike}.\n *\n * With `subscribeOn` you can decide what type of scheduler a specific Observable will be using when it is subscribed to.\n *\n * Schedulers control the speed and order of emissions to observers from an Observable stream.\n *\n * ![](subscribeOn.png)\n *\n * ## Example\n *\n * Given the following code:\n *\n * ```ts\n * import { of, merge } from 'rxjs';\n *\n * const a = of(1, 2, 3);\n * const b = of(4, 5, 6);\n *\n * merge(a, b).subscribe(console.log);\n *\n * // Outputs\n * // 1\n * // 2\n * // 3\n * // 4\n * // 5\n * // 6\n * ```\n *\n * Both Observable `a` and `b` will emit their values directly and synchronously once they are subscribed to.\n *\n * If we instead use the `subscribeOn` operator declaring that we want to use the {@link asyncScheduler} for values emitted by Observable `a`:\n *\n * ```ts\n * import { of, subscribeOn, asyncScheduler, merge } from 'rxjs';\n *\n * const a = of(1, 2, 3).pipe(subscribeOn(asyncScheduler));\n * const b = of(4, 5, 6);\n *\n * merge(a, b).subscribe(console.log);\n *\n * // Outputs\n * // 4\n * // 5\n * // 6\n * // 1\n * // 2\n * // 3\n * ```\n *\n * The reason for this is that Observable `b` emits its values directly and synchronously like before\n * but the emissions from `a` are scheduled on the event loop because we are now using the {@link asyncScheduler} for that specific Observable.\n *\n * @param scheduler The {@link SchedulerLike} to perform subscription actions on.\n * @param delay A delay to pass to the scheduler to delay subscriptions\n * @return A function that returns an Observable modified so that its\n * subscriptions happen on the specified {@link SchedulerLike}.\n */\nexport function subscribeOn<T>(scheduler: SchedulerLike, delay: number = 0): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    subscriber.add(scheduler.schedule(() => source.subscribe(subscriber), delay));\n  });\n}\n", "import { innerFrom } from '../observable/innerFrom';\nimport { observeOn } from '../operators/observeOn';\nimport { subscribeOn } from '../operators/subscribeOn';\nimport { InteropObservable, SchedulerLike } from '../types';\n\nexport function scheduleObservable<T>(input: InteropObservable<T>, scheduler: SchedulerLike) {\n  return innerFrom(input).pipe(subscribeOn(scheduler), observeOn(scheduler));\n}\n", "import { innerFrom } from '../observable/innerFrom';\nimport { observeOn } from '../operators/observeOn';\nimport { subscribeOn } from '../operators/subscribeOn';\nimport { SchedulerLike } from '../types';\n\nexport function schedulePromise<T>(input: PromiseLike<T>, scheduler: SchedulerLike) {\n  return innerFrom(input).pipe(subscribeOn(scheduler), observeOn(scheduler));\n}\n", "import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\n\nexport function scheduleArray<T>(input: ArrayLike<T>, scheduler: SchedulerLike) {\n  return new Observable<T>((subscriber) => {\n    // The current array index.\n    let i = 0;\n    // Start iterating over the array like on a schedule.\n    return scheduler.schedule(function () {\n      if (i === input.length) {\n        // If we have hit the end of the array like in the\n        // previous job, we can complete.\n        subscriber.complete();\n      } else {\n        // Otherwise let's next the value at the current index,\n        // then increment our index.\n        subscriber.next(input[i++]);\n        // If the last emission didn't cause us to close the subscriber\n        // (via take or some side effect), reschedule the job and we'll\n        // make another pass.\n        if (!subscriber.closed) {\n          this.schedule();\n        }\n      }\n    });\n  });\n}\n", "import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { iterator as Symbol_iterator } from '../symbol/iterator';\nimport { isFunction } from '../util/isFunction';\nimport { executeSchedule } from '../util/executeSchedule';\n\n/**\n * Used in {@link scheduled} to create an observable from an Iterable.\n * @param input The iterable to create an observable from\n * @param scheduler The scheduler to use\n */\nexport function scheduleIterable<T>(input: Iterable<T>, scheduler: SchedulerLike) {\n  return new Observable<T>((subscriber) => {\n    let iterator: Iterator<T, T>;\n\n    // Schedule the initial creation of the iterator from\n    // the iterable. This is so the code in the iterable is\n    // not called until the scheduled job fires.\n    executeSchedule(subscriber, scheduler, () => {\n      // Create the iterator.\n      iterator = (input as any)[Symbol_iterator]();\n\n      executeSchedule(\n        subscriber,\n        scheduler,\n        () => {\n          let value: T;\n          let done: boolean | undefined;\n          try {\n            // Pull the value out of the iterator\n            ({ value, done } = iterator.next());\n          } catch (err) {\n            // We got an error while pulling from the iterator\n            subscriber.error(err);\n            return;\n          }\n\n          if (done) {\n            // If it is \"done\" we just complete. This mimics the\n            // behavior of JavaScript's `for..of` consumption of\n            // iterables, which will not emit the value from an iterator\n            // result of `{ done: true: value: 'here' }`.\n            subscriber.complete();\n          } else {\n            // The iterable is not done, emit the value.\n            subscriber.next(value);\n          }\n        },\n        0,\n        true\n      );\n    });\n\n    // During finalization, if we see this iterator has a `return` method,\n    // then we know it is a Generator, and not just an Iterator. So we call\n    // the `return()` function. This will ensure that any `finally { }` blocks\n    // inside of the generator we can hit will be hit properly.\n    return () => isFunction(iterator?.return) && iterator.return();\n  });\n}\n", "import { SchedulerLike } from '../types';\nimport { Observable } from '../Observable';\nimport { executeSchedule } from '../util/executeSchedule';\n\nexport function scheduleAsyncIterable<T>(input: AsyncIterable<T>, scheduler: SchedulerLike) {\n  if (!input) {\n    throw new Error('Iterable cannot be null');\n  }\n  return new Observable<T>((subscriber) => {\n    executeSchedule(subscriber, scheduler, () => {\n      const iterator = input[Symbol.asyncIterator]();\n      executeSchedule(\n        subscriber,\n        scheduler,\n        () => {\n          iterator.next().then((result) => {\n            if (result.done) {\n              // This will remove the subscriptions from\n              // the parent subscription.\n              subscriber.complete();\n            } else {\n              subscriber.next(result.value);\n            }\n          });\n        },\n        0,\n        true\n      );\n    });\n  });\n}\n", "import { SchedulerLike, ReadableStreamLike } from '../types';\nimport { Observable } from '../Observable';\nimport { scheduleAsyncIterable } from './scheduleAsyncIterable';\nimport { readableStreamLikeToAsyncGenerator } from '../util/isReadableStreamLike';\n\nexport function scheduleReadableStreamLike<T>(input: ReadableStreamLike<T>, scheduler: SchedulerLike): Observable<T> {\n  return scheduleAsyncIterable(readableStreamLikeToAsyncGenerator(input), scheduler);\n}\n", "import { scheduleObservable } from './scheduleObservable';\nimport { schedulePromise } from './schedulePromise';\nimport { scheduleArray } from './scheduleArray';\nimport { scheduleIterable } from './scheduleIterable';\nimport { scheduleAsyncIterable } from './scheduleAsyncIterable';\nimport { isInteropObservable } from '../util/isInteropObservable';\nimport { isPromise } from '../util/isPromise';\nimport { isArrayLike } from '../util/isArrayLike';\nimport { isIterable } from '../util/isIterable';\nimport { ObservableInput, SchedulerLike } from '../types';\nimport { Observable } from '../Observable';\nimport { isAsyncIterable } from '../util/isAsyncIterable';\nimport { createInvalidObservableTypeError } from '../util/throwUnobservableError';\nimport { isReadableStreamLike } from '../util/isReadableStreamLike';\nimport { scheduleReadableStreamLike } from './scheduleReadableStreamLike';\n\n/**\n * Converts from a common {@link ObservableInput} type to an observable where subscription and emissions\n * are scheduled on the provided scheduler.\n *\n * @see {@link from}\n * @see {@link of}\n *\n * @param input The observable, array, promise, iterable, etc you would like to schedule\n * @param scheduler The scheduler to use to schedule the subscription and emissions from\n * the returned observable.\n */\nexport function scheduled<T>(input: ObservableInput<T>, scheduler: SchedulerLike): Observable<T> {\n  if (input != null) {\n    if (isInteropObservable(input)) {\n      return scheduleObservable(input, scheduler);\n    }\n    if (isArrayLike(input)) {\n      return scheduleArray(input, scheduler);\n    }\n    if (isPromise(input)) {\n      return schedulePromise(input, scheduler);\n    }\n    if (isAsyncIterable(input)) {\n      return scheduleAsyncIterable(input, scheduler);\n    }\n    if (isIterable(input)) {\n      return scheduleIterable(input, scheduler);\n    }\n    if (isReadableStreamLike(input)) {\n      return scheduleReadableStreamLike(input, scheduler);\n    }\n  }\n  throw createInvalidObservableTypeError(input);\n}\n", "import { Observable } from '../Observable';\nimport { ObservableInput, SchedulerLike, ObservedValueOf } from '../types';\nimport { scheduled } from '../scheduled/scheduled';\nimport { innerFrom } from './innerFrom';\n\nexport function from<O extends ObservableInput<any>>(input: O): Observable<ObservedValueOf<O>>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function from<O extends ObservableInput<any>>(input: O, scheduler: SchedulerLike | undefined): Observable<ObservedValueOf<O>>;\n\n/**\n * Creates an Observable from an Array, an array-like object, a Promise, an iterable object, or an Observable-like object.\n *\n * <span class=\"informal\">Converts almost anything to an Observable.</span>\n *\n * ![](from.png)\n *\n * `from` converts various other objects and data types into Observables. It also converts a Promise, an array-like, or an\n * <a href=\"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols#iterable\" target=\"_blank\">iterable</a>\n * object into an Observable that emits the items in that promise, array, or iterable. A String, in this context, is treated\n * as an array of characters. Observable-like objects (contains a function named with the ES2015 Symbol for Observable) can also be\n * converted through this operator.\n *\n * ## Examples\n *\n * Converts an array to an Observable\n *\n * ```ts\n * import { from } from 'rxjs';\n *\n * const array = [10, 20, 30];\n * const result = from(array);\n *\n * result.subscribe(x => console.log(x));\n *\n * // Logs:\n * // 10\n * // 20\n * // 30\n * ```\n *\n * Convert an infinite iterable (from a generator) to an Observable\n *\n * ```ts\n * import { from, take } from 'rxjs';\n *\n * function* generateDoubles(seed) {\n *    let i = seed;\n *    while (true) {\n *      yield i;\n *      i = 2 * i; // double it\n *    }\n * }\n *\n * const iterator = generateDoubles(3);\n * const result = from(iterator).pipe(take(10));\n *\n * result.subscribe(x => console.log(x));\n *\n * // Logs:\n * // 3\n * // 6\n * // 12\n * // 24\n * // 48\n * // 96\n * // 192\n * // 384\n * // 768\n * // 1536\n * ```\n *\n * With `asyncScheduler`\n *\n * ```ts\n * import { from, asyncScheduler } from 'rxjs';\n *\n * console.log('start');\n *\n * const array = [10, 20, 30];\n * const result = from(array, asyncScheduler);\n *\n * result.subscribe(x => console.log(x));\n *\n * console.log('end');\n *\n * // Logs:\n * // 'start'\n * // 'end'\n * // 10\n * // 20\n * // 30\n * ```\n *\n * @see {@link fromEvent}\n * @see {@link fromEventPattern}\n *\n * @param input A subscription object, a Promise, an Observable-like,\n * an Array, an iterable, or an array-like object to be converted.\n * @param scheduler An optional {@link SchedulerLike} on which to schedule the emission of values.\n * @return An Observable converted from {@link ObservableInput}.\n */\nexport function from<T>(input: ObservableInput<T>, scheduler?: SchedulerLike): Observable<T> {\n  return scheduler ? scheduled(input, scheduler) : innerFrom(input);\n}\n", "import { SchedulerLike, ValueFromArray } from '../types';\nimport { Observable } from '../Observable';\nimport { popScheduler } from '../util/args';\nimport { from } from './from';\n\n// Devs are more likely to pass null or undefined than they are a scheduler\n// without accompanying values. To make things easier for (naughty) devs who\n// use the `strictNullChecks: false` TypeScript compiler option, these\n// overloads with explicit null and undefined values are included.\n\nexport function of(value: null): Observable<null>;\nexport function of(value: undefined): Observable<undefined>;\n\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function of(scheduler: SchedulerLike): Observable<never>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function of<A extends readonly unknown[]>(...valuesAndScheduler: [...A, SchedulerLike]): Observable<ValueFromArray<A>>;\n\nexport function of(): Observable<never>;\n/** @deprecated Do not specify explicit type parameters. Signatures with type parameters that cannot be inferred will be removed in v8. */\nexport function of<T>(): Observable<T>;\nexport function of<T>(value: T): Observable<T>;\nexport function of<A extends readonly unknown[]>(...values: A): Observable<ValueFromArray<A>>;\n\n/**\n * Converts the arguments to an observable sequence.\n *\n * <span class=\"informal\">Each argument becomes a `next` notification.</span>\n *\n * ![](of.png)\n *\n * Unlike {@link from}, it does not do any flattening and emits each argument in whole\n * as a separate `next` notification.\n *\n * ## Examples\n *\n * Emit the values `10, 20, 30`\n *\n * ```ts\n * import { of } from 'rxjs';\n *\n * of(10, 20, 30)\n *   .subscribe({\n *     next: value => console.log('next:', value),\n *     error: err => console.log('error:', err),\n *     complete: () => console.log('the end'),\n *   });\n *\n * // Outputs\n * // next: 10\n * // next: 20\n * // next: 30\n * // the end\n * ```\n *\n * Emit the array `[1, 2, 3]`\n *\n * ```ts\n * import { of } from 'rxjs';\n *\n * of([1, 2, 3])\n *   .subscribe({\n *     next: value => console.log('next:', value),\n *     error: err => console.log('error:', err),\n *     complete: () => console.log('the end'),\n *   });\n *\n * // Outputs\n * // next: [1, 2, 3]\n * // the end\n * ```\n *\n * @see {@link from}\n * @see {@link range}\n *\n * @param args A comma separated list of arguments you want to be emitted.\n * @return An Observable that synchronously emits the arguments described\n * above and then immediately completes.\n */\nexport function of<T>(...args: Array<T | SchedulerLike>): Observable<T> {\n  const scheduler = popScheduler(args);\n  return from(args as T[], scheduler);\n}\n", "import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { SchedulerLike } from '../types';\nimport { isFunction } from '../util/isFunction';\n\n/**\n * Creates an observable that will create an error instance and push it to the consumer as an error\n * immediately upon subscription.\n *\n * <span class=\"informal\">Just errors and does nothing else</span>\n *\n * ![](throw.png)\n *\n * This creation function is useful for creating an observable that will create an error and error every\n * time it is subscribed to. Generally, inside of most operators when you might want to return an errored\n * observable, this is unnecessary. In most cases, such as in the inner return of {@link concatMap},\n * {@link mergeMap}, {@link defer}, and many others, you can simply throw the error, and RxJS will pick\n * that up and notify the consumer of the error.\n *\n * ## Example\n *\n * Create a simple observable that will create a new error with a timestamp and log it\n * and the message every time you subscribe to it\n *\n * ```ts\n * import { throwError } from 'rxjs';\n *\n * let errorCount = 0;\n *\n * const errorWithTimestamp$ = throwError(() => {\n *   const error: any = new Error(`This is error number ${ ++errorCount }`);\n *   error.timestamp = Date.now();\n *   return error;\n * });\n *\n * errorWithTimestamp$.subscribe({\n *   error: err => console.log(err.timestamp, err.message)\n * });\n *\n * errorWithTimestamp$.subscribe({\n *   error: err => console.log(err.timestamp, err.message)\n * });\n *\n * // Logs the timestamp and a new error message for each subscription\n * ```\n *\n * ### Unnecessary usage\n *\n * Using `throwError` inside of an operator or creation function\n * with a callback, is usually not necessary\n *\n * ```ts\n * import { of, concatMap, timer, throwError } from 'rxjs';\n *\n * const delays$ = of(1000, 2000, Infinity, 3000);\n *\n * delays$.pipe(\n *   concatMap(ms => {\n *     if (ms < 10000) {\n *       return timer(ms);\n *     } else {\n *       // This is probably overkill.\n *       return throwError(() => new Error(`Invalid time ${ ms }`));\n *     }\n *   })\n * )\n * .subscribe({\n *   next: console.log,\n *   error: console.error\n * });\n * ```\n *\n * You can just throw the error instead\n *\n * ```ts\n * import { of, concatMap, timer } from 'rxjs';\n *\n * const delays$ = of(1000, 2000, Infinity, 3000);\n *\n * delays$.pipe(\n *   concatMap(ms => {\n *     if (ms < 10000) {\n *       return timer(ms);\n *     } else {\n *       // Cleaner and easier to read for most folks.\n *       throw new Error(`Invalid time ${ ms }`);\n *     }\n *   })\n * )\n * .subscribe({\n *   next: console.log,\n *   error: console.error\n * });\n * ```\n *\n * @param errorFactory A factory function that will create the error instance that is pushed.\n */\nexport function throwError(errorFactory: () => any): Observable<never>;\n\n/**\n * Returns an observable that will error with the specified error immediately upon subscription.\n *\n * @param error The error instance to emit\n * @deprecated Support for passing an error value will be removed in v8. Instead, pass a factory function to `throwError(() => new Error('test'))`. This is\n * because it will create the error at the moment it should be created and capture a more appropriate stack trace. If\n * for some reason you need to create the error ahead of time, you can still do that: `const err = new Error('test'); throwError(() => err);`.\n */\nexport function throwError(error: any): Observable<never>;\n\n/**\n * Notifies the consumer of an error using a given scheduler by scheduling it at delay `0` upon subscription.\n *\n * @param errorOrErrorFactory An error instance or error factory\n * @param scheduler A scheduler to use to schedule the error notification\n * @deprecated The `scheduler` parameter will be removed in v8.\n * Use `throwError` in combination with {@link observeOn}: `throwError(() => new Error('test')).pipe(observeOn(scheduler));`.\n * Details: https://rxjs.dev/deprecations/scheduler-argument\n */\nexport function throwError(errorOrErrorFactory: any, scheduler: SchedulerLike): Observable<never>;\n\nexport function throwError(errorOrErrorFactory: any, scheduler?: SchedulerLike): Observable<never> {\n  const errorFactory = isFunction(errorOrErrorFactory) ? errorOrErrorFactory : () => errorOrErrorFactory;\n  const init = (subscriber: Subscriber<never>) => subscriber.error(errorFactory());\n  return new Observable(scheduler ? (subscriber) => scheduler.schedule(init as any, 0, subscriber) : init);\n}\n", "import { createErrorClass } from './createErrorClass';\n\nexport interface EmptyError extends Error {}\n\nexport interface EmptyErrorCtor {\n  /**\n   * @deprecated Internal implementation detail. Do not construct error instances.\n   * Cannot be tagged as internal: https://github.com/ReactiveX/rxjs/issues/6269\n   */\n  new (): EmptyError;\n}\n\n/**\n * An error thrown when an Observable or a sequence was queried but has no\n * elements.\n *\n * @see {@link first}\n * @see {@link last}\n * @see {@link single}\n * @see {@link firstValueFrom}\n * @see {@link lastValueFrom}\n */\nexport const EmptyError: EmptyErrorCtor = createErrorClass(\n  (_super) =>\n    function EmptyErrorImpl(this: any) {\n      _super(this);\n      this.name = 'EmptyError';\n      this.message = 'no elements in sequence';\n    }\n);\n", "/**\n * Checks to see if a value is not only a `Date` object,\n * but a *valid* `Date` object that can be converted to a\n * number. For example, `new Date('blah')` is indeed an\n * `instanceof Date`, however it cannot be converted to a\n * number.\n */\nexport function isValidDate(value: any): value is Date {\n  return value instanceof Date && !isNaN(value as any);\n}\n", "import { OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\nexport function map<T, R>(project: (value: T, index: number) => R): OperatorFunction<T, R>;\n/** @deprecated Use a closure instead of a `thisArg`. Signatures accepting a `thisArg` will be removed in v8. */\nexport function map<T, R, A>(project: (this: A, value: T, index: number) => R, thisArg: A): OperatorFunction<T, R>;\n\n/**\n * Applies a given `project` function to each value emitted by the source\n * Observable, and emits the resulting values as an Observable.\n *\n * <span class=\"informal\">Like [Array.prototype.map()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/map),\n * it passes each source value through a transformation function to get\n * corresponding output values.</span>\n *\n * ![](map.png)\n *\n * Similar to the well known `Array.prototype.map` function, this operator\n * applies a projection to each value and emits that projection in the output\n * Observable.\n *\n * ## Example\n *\n * Map every click to the `clientX` position of that click\n *\n * ```ts\n * import { fromEvent, map } from 'rxjs';\n *\n * const clicks = fromEvent<PointerEvent>(document, 'click');\n * const positions = clicks.pipe(map(ev => ev.clientX));\n *\n * positions.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link mapTo}\n * @see {@link pluck}\n *\n * @param project The function to apply to each `value` emitted by the source\n * Observable. The `index` parameter is the number `i` for the i-th emission\n * that has happened since the subscription, starting from the number `0`.\n * @param thisArg An optional argument to define what `this` is in the\n * `project` function.\n * @return A function that returns an Observable that emits the values from the\n * source Observable transformed by the given `project` function.\n */\nexport function map<T, R>(project: (value: T, index: number) => R, thisArg?: any): OperatorFunction<T, R> {\n  return operate((source, subscriber) => {\n    // The index of the value from the source. Used with projection.\n    let index = 0;\n    // Subscribe to the source, all errors and completions are sent along\n    // to the consumer.\n    source.subscribe(\n      createOperatorSubscriber(subscriber, (value: T) => {\n        // Call the projection function with the appropriate this context,\n        // and send the resulting value to the consumer.\n        subscriber.next(project.call(thisArg, value, index++));\n      })\n    );\n  });\n}\n", "import { OperatorFunction } from \"../types\";\nimport { map } from \"../operators/map\";\n\nconst { isArray } = Array;\n\nfunction callOrApply<T, R>(fn: ((...values: T[]) => R), args: T|T[]): R {\n    return isArray(args) ? fn(...args) : fn(args);\n}\n\n/**\n * Used in several -- mostly deprecated -- situations where we need to \n * apply a list of arguments or a single argument to a result selector.\n */\nexport function mapOneOrManyArgs<T, R>(fn: ((...values: T[]) => R)): OperatorFunction<T|T[], R> {\n    return map(args => callOrApply(fn, args))\n}", "const { isArray } = Array;\nconst { getPrototypeOf, prototype: objectProto, keys: getKeys } = Object;\n\n/**\n * Used in functions where either a list of arguments, a single array of arguments, or a\n * dictionary of arguments can be returned. Returns an object with an `args` property with\n * the arguments in an array, if it is a dictionary, it will also return the `keys` in another\n * property.\n */\nexport function argsArgArrayOrObject<T, O extends Record<string, T>>(args: T[] | [O] | [T[]]): { args: T[]; keys: string[] | null } {\n  if (args.length === 1) {\n    const first = args[0];\n    if (isArray(first)) {\n      return { args: first, keys: null };\n    }\n    if (isPOJO(first)) {\n      const keys = getKeys(first);\n      return {\n        args: keys.map((key) => first[key]),\n        keys,\n      };\n    }\n  }\n\n  return { args: args as T[], keys: null };\n}\n\nfunction isPOJO(obj: any): obj is object {\n  return obj && typeof obj === 'object' && getPrototypeOf(obj) === objectProto;\n}\n", "export function createObject(keys: string[], values: any[]) {\n  return keys.reduce((result, key, i) => ((result[key] = values[i]), result), {} as any);\n}\n", "import { Observable } from '../Observable';\nimport { ObservableInput, SchedulerLike, ObservedValueOf, ObservableInputTuple } from '../types';\nimport { argsArgArrayOrObject } from '../util/argsArgArrayOrObject';\nimport { Subscriber } from '../Subscriber';\nimport { from } from './from';\nimport { identity } from '../util/identity';\nimport { Subscription } from '../Subscription';\nimport { mapOneOrManyArgs } from '../util/mapOneOrManyArgs';\nimport { popResultSelector, popScheduler } from '../util/args';\nimport { createObject } from '../util/createObject';\nimport { createOperatorSubscriber } from '../operators/OperatorSubscriber';\nimport { AnyCatcher } from '../AnyCatcher';\nimport { executeSchedule } from '../util/executeSchedule';\n\n// combineLatest(any)\n// We put this first because we need to catch cases where the user has supplied\n// _exactly `any`_ as the argument. Since `any` literally matches _anything_,\n// we don't want it to randomly hit one of the other type signatures below,\n// as we have no idea at build-time what type we should be returning when given an any.\n\n/**\n * You have passed `any` here, we can't figure out if it is\n * an array or an object, so you're getting `unknown`. Use better types.\n * @param arg Something typed as `any`\n */\nexport function combineLatest<T extends AnyCatcher>(arg: T): Observable<unknown>;\n\n// combineLatest([a, b, c])\nexport function combineLatest(sources: []): Observable<never>;\nexport function combineLatest<A extends readonly unknown[]>(sources: readonly [...ObservableInputTuple<A>]): Observable<A>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `combineLatestAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function combineLatest<A extends readonly unknown[], R>(\n  sources: readonly [...ObservableInputTuple<A>],\n  resultSelector: (...values: A) => R,\n  scheduler: SchedulerLike\n): Observable<R>;\nexport function combineLatest<A extends readonly unknown[], R>(\n  sources: readonly [...ObservableInputTuple<A>],\n  resultSelector: (...values: A) => R\n): Observable<R>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `combineLatestAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function combineLatest<A extends readonly unknown[]>(\n  sources: readonly [...ObservableInputTuple<A>],\n  scheduler: SchedulerLike\n): Observable<A>;\n\n// combineLatest(a, b, c)\n/** @deprecated Pass an array of sources instead. The rest-parameters signature will be removed in v8. Details: https://rxjs.dev/deprecations/array-argument */\nexport function combineLatest<A extends readonly unknown[]>(...sources: [...ObservableInputTuple<A>]): Observable<A>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `combineLatestAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function combineLatest<A extends readonly unknown[], R>(\n  ...sourcesAndResultSelectorAndScheduler: [...ObservableInputTuple<A>, (...values: A) => R, SchedulerLike]\n): Observable<R>;\n/** @deprecated Pass an array of sources instead. The rest-parameters signature will be removed in v8. Details: https://rxjs.dev/deprecations/array-argument */\nexport function combineLatest<A extends readonly unknown[], R>(\n  ...sourcesAndResultSelector: [...ObservableInputTuple<A>, (...values: A) => R]\n): Observable<R>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `combineLatestAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function combineLatest<A extends readonly unknown[]>(\n  ...sourcesAndScheduler: [...ObservableInputTuple<A>, SchedulerLike]\n): Observable<A>;\n\n// combineLatest({a, b, c})\nexport function combineLatest(sourcesObject: { [K in any]: never }): Observable<never>;\nexport function combineLatest<T extends Record<string, ObservableInput<any>>>(\n  sourcesObject: T\n): Observable<{ [K in keyof T]: ObservedValueOf<T[K]> }>;\n\n/**\n * Combines multiple Observables to create an Observable whose values are\n * calculated from the latest values of each of its input Observables.\n *\n * <span class=\"informal\">Whenever any input Observable emits a value, it\n * computes a formula using the latest values from all the inputs, then emits\n * the output of that formula.</span>\n *\n * ![](combineLatest.png)\n *\n * `combineLatest` combines the values from all the Observables passed in the\n * observables array. This is done by subscribing to each Observable in order and,\n * whenever any Observable emits, collecting an array of the most recent\n * values from each Observable. So if you pass `n` Observables to this operator,\n * the returned Observable will always emit an array of `n` values, in an order\n * corresponding to the order of the passed Observables (the value from the first Observable\n * will be at index 0 of the array and so on).\n *\n * Static version of `combineLatest` accepts an array of Observables. Note that an array of\n * Observables is a good choice, if you don't know beforehand how many Observables\n * you will combine. Passing an empty array will result in an Observable that\n * completes immediately.\n *\n * To ensure the output array always has the same length, `combineLatest` will\n * actually wait for all input Observables to emit at least once,\n * before it starts emitting results. This means if some Observable emits\n * values before other Observables started emitting, all these values but the last\n * will be lost. On the other hand, if some Observable does not emit a value but\n * completes, resulting Observable will complete at the same moment without\n * emitting anything, since it will now be impossible to include a value from the\n * completed Observable in the resulting array. Also, if some input Observable does\n * not emit any value and never completes, `combineLatest` will also never emit\n * and never complete, since, again, it will wait for all streams to emit some\n * value.\n *\n * If at least one Observable was passed to `combineLatest` and all passed Observables\n * emitted something, the resulting Observable will complete when all combined\n * streams complete. So even if some Observable completes, the result of\n * `combineLatest` will still emit values when other Observables do. In case\n * of a completed Observable, its value from now on will always be the last\n * emitted value. On the other hand, if any Observable errors, `combineLatest`\n * will error immediately as well, and all other Observables will be unsubscribed.\n *\n * ## Examples\n *\n * Combine two timer Observables\n *\n * ```ts\n * import { timer, combineLatest } from 'rxjs';\n *\n * const firstTimer = timer(0, 1000); // emit 0, 1, 2... after every second, starting from now\n * const secondTimer = timer(500, 1000); // emit 0, 1, 2... after every second, starting 0,5s from now\n * const combinedTimers = combineLatest([firstTimer, secondTimer]);\n * combinedTimers.subscribe(value => console.log(value));\n * // Logs\n * // [0, 0] after 0.5s\n * // [1, 0] after 1s\n * // [1, 1] after 1.5s\n * // [2, 1] after 2s\n * ```\n *\n * Combine a dictionary of Observables\n *\n * ```ts\n * import { of, delay, startWith, combineLatest } from 'rxjs';\n *\n * const observables = {\n *   a: of(1).pipe(delay(1000), startWith(0)),\n *   b: of(5).pipe(delay(5000), startWith(0)),\n *   c: of(10).pipe(delay(10000), startWith(0))\n * };\n * const combined = combineLatest(observables);\n * combined.subscribe(value => console.log(value));\n * // Logs\n * // { a: 0, b: 0, c: 0 } immediately\n * // { a: 1, b: 0, c: 0 } after 1s\n * // { a: 1, b: 5, c: 0 } after 5s\n * // { a: 1, b: 5, c: 10 } after 10s\n * ```\n *\n * Combine an array of Observables\n *\n * ```ts\n * import { of, delay, startWith, combineLatest } from 'rxjs';\n *\n * const observables = [1, 5, 10].map(\n *   n => of(n).pipe(\n *     delay(n * 1000), // emit 0 and then emit n after n seconds\n *     startWith(0)\n *   )\n * );\n * const combined = combineLatest(observables);\n * combined.subscribe(value => console.log(value));\n * // Logs\n * // [0, 0, 0] immediately\n * // [1, 0, 0] after 1s\n * // [1, 5, 0] after 5s\n * // [1, 5, 10] after 10s\n * ```\n *\n * Use map operator to dynamically calculate the Body-Mass Index\n *\n * ```ts\n * import { of, combineLatest, map } from 'rxjs';\n *\n * const weight = of(70, 72, 76, 79, 75);\n * const height = of(1.76, 1.77, 1.78);\n * const bmi = combineLatest([weight, height]).pipe(\n *   map(([w, h]) => w / (h * h)),\n * );\n * bmi.subscribe(x => console.log('BMI is ' + x));\n *\n * // With output to console:\n * // BMI is 24.212293388429753\n * // BMI is 23.93948099205209\n * // BMI is 23.671253629592222\n * ```\n *\n * @see {@link combineLatestAll}\n * @see {@link merge}\n * @see {@link withLatestFrom}\n *\n * @param args Any number of `ObservableInput`s provided either as an array or as an object\n * to combine with each other. If the last parameter is the function, it will be used to project the\n * values from the combined latest values into a new value on the output Observable.\n * @return An Observable of projected values from the most recent values from each `ObservableInput`,\n * or an array of the most recent values from each `ObservableInput`.\n */\nexport function combineLatest<O extends ObservableInput<any>, R>(...args: any[]): Observable<R> | Observable<ObservedValueOf<O>[]> {\n  const scheduler = popScheduler(args);\n  const resultSelector = popResultSelector(args);\n\n  const { args: observables, keys } = argsArgArrayOrObject(args);\n\n  if (observables.length === 0) {\n    // If no observables are passed, or someone has passed an empty array\n    // of observables, or even an empty object POJO, we need to just\n    // complete (EMPTY), but we have to honor the scheduler provided if any.\n    return from([], scheduler as any);\n  }\n\n  const result = new Observable<ObservedValueOf<O>[]>(\n    combineLatestInit(\n      observables as ObservableInput<ObservedValueOf<O>>[],\n      scheduler,\n      keys\n        ? // A handler for scrubbing the array of args into a dictionary.\n          (values) => createObject(keys, values)\n        : // A passthrough to just return the array\n          identity\n    )\n  );\n\n  return resultSelector ? (result.pipe(mapOneOrManyArgs(resultSelector)) as Observable<R>) : result;\n}\n\nexport function combineLatestInit(\n  observables: ObservableInput<any>[],\n  scheduler?: SchedulerLike,\n  valueTransform: (values: any[]) => any = identity\n) {\n  return (subscriber: Subscriber<any>) => {\n    // The outer subscription. We're capturing this in a function\n    // because we may have to schedule it.\n    maybeSchedule(\n      scheduler,\n      () => {\n        const { length } = observables;\n        // A store for the values each observable has emitted so far. We match observable to value on index.\n        const values = new Array(length);\n        // The number of currently active subscriptions, as they complete, we decrement this number to see if\n        // we are all done combining values, so we can complete the result.\n        let active = length;\n        // The number of inner sources that still haven't emitted the first value\n        // We need to track this because all sources need to emit one value in order\n        // to start emitting values.\n        let remainingFirstValues = length;\n        // The loop to kick off subscription. We're keying everything on index `i` to relate the observables passed\n        // in to the slot in the output array or the key in the array of keys in the output dictionary.\n        for (let i = 0; i < length; i++) {\n          maybeSchedule(\n            scheduler,\n            () => {\n              const source = from(observables[i], scheduler as any);\n              let hasFirstValue = false;\n              source.subscribe(\n                createOperatorSubscriber(\n                  subscriber,\n                  (value) => {\n                    // When we get a value, record it in our set of values.\n                    values[i] = value;\n                    if (!hasFirstValue) {\n                      // If this is our first value, record that.\n                      hasFirstValue = true;\n                      remainingFirstValues--;\n                    }\n                    if (!remainingFirstValues) {\n                      // We're not waiting for any more\n                      // first values, so we can emit!\n                      subscriber.next(valueTransform(values.slice()));\n                    }\n                  },\n                  () => {\n                    if (!--active) {\n                      // We only complete the result if we have no more active\n                      // inner observables.\n                      subscriber.complete();\n                    }\n                  }\n                )\n              );\n            },\n            subscriber\n          );\n        }\n      },\n      subscriber\n    );\n  };\n}\n\n/**\n * A small utility to handle the couple of locations where we want to schedule if a scheduler was provided,\n * but we don't if there was no scheduler.\n */\nfunction maybeSchedule(scheduler: SchedulerLike | undefined, execute: () => void, subscription: Subscription) {\n  if (scheduler) {\n    executeSchedule(subscription, scheduler, execute);\n  } else {\n    execute();\n  }\n}\n", "import { Observable } from '../Observable';\nimport { innerFrom } from '../observable/innerFrom';\nimport { Subscriber } from '../Subscriber';\nimport { ObservableInput, SchedulerLike } from '../types';\nimport { executeSchedule } from '../util/executeSchedule';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * A process embodying the general \"merge\" strategy. This is used in\n * `mergeMap` and `mergeScan` because the logic is otherwise nearly identical.\n * @param source The original source observable\n * @param subscriber The consumer subscriber\n * @param project The projection function to get our inner sources\n * @param concurrent The number of concurrent inner subscriptions\n * @param onBeforeNext Additional logic to apply before nexting to our consumer\n * @param expand If `true` this will perform an \"expand\" strategy, which differs only\n * in that it recurses, and the inner subscription must be schedule-able.\n * @param innerSubScheduler A scheduler to use to schedule inner subscriptions,\n * this is to support the expand strategy, mostly, and should be deprecated\n */\nexport function mergeInternals<T, R>(\n  source: Observable<T>,\n  subscriber: Subscriber<R>,\n  project: (value: T, index: number) => ObservableInput<R>,\n  concurrent: number,\n  onBeforeNext?: (innerValue: R) => void,\n  expand?: boolean,\n  innerSubScheduler?: SchedulerLike,\n  additionalFinalizer?: () => void\n) {\n  // Buffered values, in the event of going over our concurrency limit\n  const buffer: T[] = [];\n  // The number of active inner subscriptions.\n  let active = 0;\n  // An index to pass to our accumulator function\n  let index = 0;\n  // Whether or not the outer source has completed.\n  let isComplete = false;\n\n  /**\n   * Checks to see if we can complete our result or not.\n   */\n  const checkComplete = () => {\n    // If the outer has completed, and nothing is left in the buffer,\n    // and we don't have any active inner subscriptions, then we can\n    // Emit the state and complete.\n    if (isComplete && !buffer.length && !active) {\n      subscriber.complete();\n    }\n  };\n\n  // If we're under our concurrency limit, just start the inner subscription, otherwise buffer and wait.\n  const outerNext = (value: T) => (active < concurrent ? doInnerSub(value) : buffer.push(value));\n\n  const doInnerSub = (value: T) => {\n    // If we're expanding, we need to emit the outer values and the inner values\n    // as the inners will \"become outers\" in a way as they are recursively fed\n    // back to the projection mechanism.\n    expand && subscriber.next(value as any);\n\n    // Increment the number of active subscriptions so we can track it\n    // against our concurrency limit later.\n    active++;\n\n    // A flag used to show that the inner observable completed.\n    // This is checked during finalization to see if we should\n    // move to the next item in the buffer, if there is on.\n    let innerComplete = false;\n\n    // Start our inner subscription.\n    innerFrom(project(value, index++)).subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (innerValue) => {\n          // `mergeScan` has additional handling here. For example\n          // taking the inner value and updating state.\n          onBeforeNext?.(innerValue);\n\n          if (expand) {\n            // If we're expanding, then just recurse back to our outer\n            // handler. It will emit the value first thing.\n            outerNext(innerValue as any);\n          } else {\n            // Otherwise, emit the inner value.\n            subscriber.next(innerValue);\n          }\n        },\n        () => {\n          // Flag that we have completed, so we know to check the buffer\n          // during finalization.\n          innerComplete = true;\n        },\n        // Errors are passed to the destination.\n        undefined,\n        () => {\n          // During finalization, if the inner completed (it wasn't errored or\n          // cancelled), then we want to try the next item in the buffer if\n          // there is one.\n          if (innerComplete) {\n            // We have to wrap this in a try/catch because it happens during\n            // finalization, possibly asynchronously, and we want to pass\n            // any errors that happen (like in a projection function) to\n            // the outer Subscriber.\n            try {\n              // INNER SOURCE COMPLETE\n              // Decrement the active count to ensure that the next time\n              // we try to call `doInnerSub`, the number is accurate.\n              active--;\n              // If we have more values in the buffer, try to process those\n              // Note that this call will increment `active` ahead of the\n              // next conditional, if there were any more inner subscriptions\n              // to start.\n              while (buffer.length && active < concurrent) {\n                const bufferedValue = buffer.shift()!;\n                // Particularly for `expand`, we need to check to see if a scheduler was provided\n                // for when we want to start our inner subscription. Otherwise, we just start\n                // are next inner subscription.\n                if (innerSubScheduler) {\n                  executeSchedule(subscriber, innerSubScheduler, () => doInnerSub(bufferedValue));\n                } else {\n                  doInnerSub(bufferedValue);\n                }\n              }\n              // Check to see if we can complete, and complete if so.\n              checkComplete();\n            } catch (err) {\n              subscriber.error(err);\n            }\n          }\n        }\n      )\n    );\n  };\n\n  // Subscribe to our source observable.\n  source.subscribe(\n    createOperatorSubscriber(subscriber, outerNext, () => {\n      // Outer completed, make a note of it, and check to see if we can complete everything.\n      isComplete = true;\n      checkComplete();\n    })\n  );\n\n  // Additional finalization (for when the destination is torn down).\n  // Other finalization is added implicitly via subscription above.\n  return () => {\n    additionalFinalizer?.();\n  };\n}\n", "import { ObservableInput, OperatorFunction, ObservedValueOf } from '../types';\nimport { map } from './map';\nimport { innerFrom } from '../observable/innerFrom';\nimport { operate } from '../util/lift';\nimport { mergeInternals } from './mergeInternals';\nimport { isFunction } from '../util/isFunction';\n\n/* tslint:disable:max-line-length */\nexport function mergeMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  concurrent?: number\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function mergeMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector: undefined,\n  concurrent?: number\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function mergeMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R,\n  concurrent?: number\n): OperatorFunction<T, R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Projects each source value to an Observable which is merged in the output\n * Observable.\n *\n * <span class=\"informal\">Maps each value to an Observable, then flattens all of\n * these inner Observables using {@link mergeAll}.</span>\n *\n * ![](mergeMap.png)\n *\n * Returns an Observable that emits items based on applying a function that you\n * supply to each item emitted by the source Observable, where that function\n * returns an Observable, and then merging those resulting Observables and\n * emitting the results of this merger.\n *\n * ## Example\n *\n * Map and flatten each letter to an Observable ticking every 1 second\n *\n * ```ts\n * import { of, mergeMap, interval, map } from 'rxjs';\n *\n * const letters = of('a', 'b', 'c');\n * const result = letters.pipe(\n *   mergeMap(x => interval(1000).pipe(map(i => x + i)))\n * );\n *\n * result.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // a0\n * // b0\n * // c0\n * // a1\n * // b1\n * // c1\n * // continues to list a, b, c every second with respective ascending integers\n * ```\n *\n * @see {@link concatMap}\n * @see {@link exhaustMap}\n * @see {@link merge}\n * @see {@link mergeAll}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n * @see {@link switchMap}\n *\n * @param project A function that, when applied to an item emitted by the source\n * Observable, returns an Observable.\n * @param concurrent Maximum number of `ObservableInput`s being subscribed to concurrently.\n * @return A function that returns an Observable that emits the result of\n * applying the projection function (and the optional deprecated\n * `resultSelector`) to each item emitted by the source Observable and merging\n * the results of the Observables obtained from this transformation.\n */\nexport function mergeMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector?: ((outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R) | number,\n  concurrent: number = Infinity\n): OperatorFunction<T, ObservedValueOf<O> | R> {\n  if (isFunction(resultSelector)) {\n    // DEPRECATED PATH\n    return mergeMap((a, i) => map((b: any, ii: number) => resultSelector(a, b, i, ii))(innerFrom(project(a, i))), concurrent);\n  } else if (typeof resultSelector === 'number') {\n    concurrent = resultSelector;\n  }\n\n  return operate((source, subscriber) => mergeInternals(source, subscriber, project, concurrent));\n}\n", "import { mergeMap } from './mergeMap';\nimport { identity } from '../util/identity';\nimport { OperatorFunction, ObservableInput, ObservedValueOf } from '../types';\n\n/**\n * Converts a higher-order Observable into a first-order Observable which\n * concurrently delivers all values that are emitted on the inner Observables.\n *\n * <span class=\"informal\">Flattens an Observable-of-Observables.</span>\n *\n * ![](mergeAll.png)\n *\n * `mergeAll` subscribes to an Observable that emits Observables, also known as\n * a higher-order Observable. Each time it observes one of these emitted inner\n * Observables, it subscribes to that and delivers all the values from the\n * inner Observable on the output Observable. The output Observable only\n * completes once all inner Observables have completed. Any error delivered by\n * a inner Observable will be immediately emitted on the output Observable.\n *\n * ## Examples\n *\n * Spawn a new interval Observable for each click event, and blend their outputs as one Observable\n *\n * ```ts\n * import { fromEvent, map, interval, mergeAll } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(map(() => interval(1000)));\n * const firstOrder = higherOrder.pipe(mergeAll());\n *\n * firstOrder.subscribe(x => console.log(x));\n * ```\n *\n * Count from 0 to 9 every second for each click, but only allow 2 concurrent timers\n *\n * ```ts\n * import { fromEvent, map, interval, take, mergeAll } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(\n *   map(() => interval(1000).pipe(take(10)))\n * );\n * const firstOrder = higherOrder.pipe(mergeAll(2));\n *\n * firstOrder.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link combineLatestAll}\n * @see {@link concatAll}\n * @see {@link exhaustAll}\n * @see {@link merge}\n * @see {@link mergeMap}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n * @see {@link switchAll}\n * @see {@link switchMap}\n * @see {@link zipAll}\n *\n * @param concurrent Maximum number of inner Observables being subscribed to\n * concurrently.\n * @return A function that returns an Observable that emits values coming from\n * all the inner Observables emitted by the source Observable.\n */\nexport function mergeAll<O extends ObservableInput<any>>(concurrent: number = Infinity): OperatorFunction<O, ObservedValueOf<O>> {\n  return mergeMap(identity, concurrent);\n}\n", "import { mergeAll } from './mergeAll';\nimport { OperatorFunction, ObservableInput, ObservedValueOf } from '../types';\n\n/**\n * Converts a higher-order Observable into a first-order Observable by\n * concatenating the inner Observables in order.\n *\n * <span class=\"informal\">Flattens an Observable-of-Observables by putting one\n * inner Observable after the other.</span>\n *\n * ![](concatAll.svg)\n *\n * Joins every Observable emitted by the source (a higher-order Observable), in\n * a serial fashion. It subscribes to each inner Observable only after the\n * previous inner Observable has completed, and merges all of their values into\n * the returned observable.\n *\n * __Warning:__ If the source Observable emits Observables quickly and\n * endlessly, and the inner Observables it emits generally complete slower than\n * the source emits, you can run into memory issues as the incoming Observables\n * collect in an unbounded buffer.\n *\n * Note: `concatAll` is equivalent to `mergeAll` with concurrency parameter set\n * to `1`.\n *\n * ## Example\n *\n * For each click event, tick every second from 0 to 3, with no concurrency\n *\n * ```ts\n * import { fromEvent, map, interval, take, concatAll } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(\n *   map(() => interval(1000).pipe(take(4)))\n * );\n * const firstOrder = higherOrder.pipe(concatAll());\n * firstOrder.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // (results are not concurrent)\n * // For every click on the \"document\" it will emit values 0 to 3 spaced\n * // on a 1000ms interval\n * // one click = 1000ms-> 0 -1000ms-> 1 -1000ms-> 2 -1000ms-> 3\n * ```\n *\n * @see {@link combineLatestAll}\n * @see {@link concat}\n * @see {@link concatMap}\n * @see {@link concatMapTo}\n * @see {@link exhaustAll}\n * @see {@link mergeAll}\n * @see {@link switchAll}\n * @see {@link switchMap}\n * @see {@link zipAll}\n *\n * @return A function that returns an Observable emitting values from all the\n * inner Observables concatenated.\n */\nexport function concatAll<O extends ObservableInput<any>>(): OperatorFunction<O, ObservedValueOf<O>> {\n  return mergeAll(1);\n}\n", "import { Observable } from '../Observable';\nimport { ObservableInputTuple, SchedulerLike } from '../types';\nimport { concatAll } from '../operators/concatAll';\nimport { popScheduler } from '../util/args';\nimport { from } from './from';\n\nexport function concat<T extends readonly unknown[]>(...inputs: [...ObservableInputTuple<T>]): Observable<T[number]>;\nexport function concat<T extends readonly unknown[]>(\n  ...inputsAndScheduler: [...ObservableInputTuple<T>, SchedulerLike]\n): Observable<T[number]>;\n\n/**\n * Creates an output Observable which sequentially emits all values from the first given\n * Observable and then moves on to the next.\n *\n * <span class=\"informal\">Concatenates multiple Observables together by\n * sequentially emitting their values, one Observable after the other.</span>\n *\n * ![](concat.png)\n *\n * `concat` joins multiple Observables together, by subscribing to them one at a time and\n * merging their results into the output Observable. You can pass either an array of\n * Observables, or put them directly as arguments. Passing an empty array will result\n * in Observable that completes immediately.\n *\n * `concat` will subscribe to first input Observable and emit all its values, without\n * changing or affecting them in any way. When that Observable completes, it will\n * subscribe to then next Observable passed and, again, emit its values. This will be\n * repeated, until the operator runs out of Observables. When last input Observable completes,\n * `concat` will complete as well. At any given moment only one Observable passed to operator\n * emits values. If you would like to emit values from passed Observables concurrently, check out\n * {@link merge} instead, especially with optional `concurrent` parameter. As a matter of fact,\n * `concat` is an equivalent of `merge` operator with `concurrent` parameter set to `1`.\n *\n * Note that if some input Observable never completes, `concat` will also never complete\n * and Observables following the one that did not complete will never be subscribed. On the other\n * hand, if some Observable simply completes immediately after it is subscribed, it will be\n * invisible for `concat`, which will just move on to the next Observable.\n *\n * If any Observable in chain errors, instead of passing control to the next Observable,\n * `concat` will error immediately as well. Observables that would be subscribed after\n * the one that emitted error, never will.\n *\n * If you pass to `concat` the same Observable many times, its stream of values\n * will be \"replayed\" on every subscription, which means you can repeat given Observable\n * as many times as you like. If passing the same Observable to `concat` 1000 times becomes tedious,\n * you can always use {@link repeat}.\n *\n * ## Examples\n *\n * Concatenate a timer counting from 0 to 3 with a synchronous sequence from 1 to 10\n *\n * ```ts\n * import { interval, take, range, concat } from 'rxjs';\n *\n * const timer = interval(1000).pipe(take(4));\n * const sequence = range(1, 10);\n * const result = concat(timer, sequence);\n * result.subscribe(x => console.log(x));\n *\n * // results in:\n * // 0 -1000ms-> 1 -1000ms-> 2 -1000ms-> 3 -immediate-> 1 ... 10\n * ```\n *\n * Concatenate 3 Observables\n *\n * ```ts\n * import { interval, take, concat } from 'rxjs';\n *\n * const timer1 = interval(1000).pipe(take(10));\n * const timer2 = interval(2000).pipe(take(6));\n * const timer3 = interval(500).pipe(take(10));\n *\n * const result = concat(timer1, timer2, timer3);\n * result.subscribe(x => console.log(x));\n *\n * // results in the following:\n * // (Prints to console sequentially)\n * // -1000ms-> 0 -1000ms-> 1 -1000ms-> ... 9\n * // -2000ms-> 0 -2000ms-> 1 -2000ms-> ... 5\n * // -500ms-> 0 -500ms-> 1 -500ms-> ... 9\n * ```\n *\n * Concatenate the same Observable to repeat it\n *\n * ```ts\n * import { interval, take, concat } from 'rxjs';\n *\n * const timer = interval(1000).pipe(take(2));\n *\n * concat(timer, timer) // concatenating the same Observable!\n *   .subscribe({\n *     next: value => console.log(value),\n *     complete: () => console.log('...and it is done!')\n *   });\n *\n * // Logs:\n * // 0 after 1s\n * // 1 after 2s\n * // 0 after 3s\n * // 1 after 4s\n * // '...and it is done!' also after 4s\n * ```\n *\n * @see {@link concatAll}\n * @see {@link concatMap}\n * @see {@link concatMapTo}\n * @see {@link startWith}\n * @see {@link endWith}\n *\n * @param args `ObservableInput`s to concatenate.\n */\nexport function concat(...args: any[]): Observable<unknown> {\n  return concatAll()(from(args, popScheduler(args)));\n}\n", "import { Observable } from '../Observable';\nimport { ObservedValueOf, ObservableInput } from '../types';\nimport { innerFrom } from './innerFrom';\n\n/**\n * Creates an Observable that, on subscribe, calls an Observable factory to\n * make an Observable for each new Observer.\n *\n * <span class=\"informal\">Creates the Observable lazily, that is, only when it\n * is subscribed.\n * </span>\n *\n * ![](defer.png)\n *\n * `defer` allows you to create an Observable only when the Observer\n * subscribes. It waits until an Observer subscribes to it, calls the given\n * factory function to get an Observable -- where a factory function typically\n * generates a new Observable -- and subscribes the Observer to this Observable.\n * In case the factory function returns a falsy value, then EMPTY is used as\n * Observable instead. Last but not least, an exception during the factory\n * function call is transferred to the Observer by calling `error`.\n *\n * ## Example\n *\n * Subscribe to either an Observable of clicks or an Observable of interval, at random\n *\n * ```ts\n * import { defer, fromEvent, interval } from 'rxjs';\n *\n * const clicksOrInterval = defer(() => {\n *   return Math.random() > 0.5\n *     ? fromEvent(document, 'click')\n *     : interval(1000);\n * });\n * clicksOrInterval.subscribe(x => console.log(x));\n *\n * // Results in the following behavior:\n * // If the result of Math.random() is greater than 0.5 it will listen\n * // for clicks anywhere on the \"document\"; when document is clicked it\n * // will log a MouseEvent object to the console. If the result is less\n * // than 0.5 it will emit ascending numbers, one every second(1000ms).\n * ```\n *\n * @see {@link Observable}\n *\n * @param observableFactory The Observable factory function to invoke for each\n * Observer that subscribes to the output Observable. May also return any\n * `ObservableInput`, which will be converted on the fly to an Observable.\n * @return An Observable whose Observers' subscriptions trigger an invocation of the\n * given Observable factory function.\n */\nexport function defer<R extends ObservableInput<any>>(observableFactory: () => R): Observable<ObservedValueOf<R>> {\n  return new Observable<ObservedValueOf<R>>((subscriber) => {\n    innerFrom(observableFactory()).subscribe(subscriber);\n  });\n}\n", "import { innerFrom } from '../observable/innerFrom';\nimport { Observable } from '../Observable';\nimport { mergeMap } from '../operators/mergeMap';\nimport { isArrayLike } from '../util/isArrayLike';\nimport { isFunction } from '../util/isFunction';\nimport { mapOneOrManyArgs } from '../util/mapOneOrManyArgs';\n\n// These constants are used to create handler registry functions using array mapping below.\nconst nodeEventEmitterMethods = ['addListener', 'removeListener'] as const;\nconst eventTargetMethods = ['addEventListener', 'removeEventListener'] as const;\nconst jqueryMethods = ['on', 'off'] as const;\n\nexport interface NodeStyleEventEmitter {\n  addListener(eventName: string | symbol, handler: NodeEventHandler): this;\n  removeListener(eventName: string | symbol, handler: NodeEventHandler): this;\n}\n\nexport type NodeEventHandler = (...args: any[]) => void;\n\n// For APIs that implement `addListener` and `removeListener` methods that may\n// not use the same arguments or return EventEmitter values\n// such as React Native\nexport interface NodeCompatibleEventEmitter {\n  addListener(eventName: string, handler: NodeEventHandler): void | {};\n  removeListener(eventName: string, handler: NodeEventHandler): void | {};\n}\n\n// Use handler types like those in @types/jquery. See:\n// https://github.com/DefinitelyTyped/DefinitelyTyped/blob/847731ba1d7fa6db6b911c0e43aa0afe596e7723/types/jquery/misc.d.ts#L6395\nexport interface JQueryStyleEventEmitter<TContext, T> {\n  on(eventName: string, handler: (this: TContext, t: T, ...args: any[]) => any): void;\n  off(eventName: string, handler: (this: TContext, t: T, ...args: any[]) => any): void;\n}\n\nexport interface EventListenerObject<E> {\n  handleEvent(evt: E): void;\n}\n\nexport interface HasEventTargetAddRemove<E> {\n  addEventListener(\n    type: string,\n    listener: ((evt: E) => void) | EventListenerObject<E> | null,\n    options?: boolean | AddEventListenerOptions\n  ): void;\n  removeEventListener(\n    type: string,\n    listener: ((evt: E) => void) | EventListenerObject<E> | null,\n    options?: EventListenerOptions | boolean\n  ): void;\n}\n\nexport interface EventListenerOptions {\n  capture?: boolean;\n  passive?: boolean;\n  once?: boolean;\n}\n\nexport interface AddEventListenerOptions extends EventListenerOptions {\n  once?: boolean;\n  passive?: boolean;\n}\n\nexport function fromEvent<T>(target: HasEventTargetAddRemove<T> | ArrayLike<HasEventTargetAddRemove<T>>, eventName: string): Observable<T>;\nexport function fromEvent<T, R>(\n  target: HasEventTargetAddRemove<T> | ArrayLike<HasEventTargetAddRemove<T>>,\n  eventName: string,\n  resultSelector: (event: T) => R\n): Observable<R>;\nexport function fromEvent<T>(\n  target: HasEventTargetAddRemove<T> | ArrayLike<HasEventTargetAddRemove<T>>,\n  eventName: string,\n  options: EventListenerOptions\n): Observable<T>;\nexport function fromEvent<T, R>(\n  target: HasEventTargetAddRemove<T> | ArrayLike<HasEventTargetAddRemove<T>>,\n  eventName: string,\n  options: EventListenerOptions,\n  resultSelector: (event: T) => R\n): Observable<R>;\n\nexport function fromEvent(target: NodeStyleEventEmitter | ArrayLike<NodeStyleEventEmitter>, eventName: string): Observable<unknown>;\n/** @deprecated Do not specify explicit type parameters. Signatures with type parameters that cannot be inferred will be removed in v8. */\nexport function fromEvent<T>(target: NodeStyleEventEmitter | ArrayLike<NodeStyleEventEmitter>, eventName: string): Observable<T>;\nexport function fromEvent<R>(\n  target: NodeStyleEventEmitter | ArrayLike<NodeStyleEventEmitter>,\n  eventName: string,\n  resultSelector: (...args: any[]) => R\n): Observable<R>;\n\nexport function fromEvent(\n  target: NodeCompatibleEventEmitter | ArrayLike<NodeCompatibleEventEmitter>,\n  eventName: string\n): Observable<unknown>;\n/** @deprecated Do not specify explicit type parameters. Signatures with type parameters that cannot be inferred will be removed in v8. */\nexport function fromEvent<T>(target: NodeCompatibleEventEmitter | ArrayLike<NodeCompatibleEventEmitter>, eventName: string): Observable<T>;\nexport function fromEvent<R>(\n  target: NodeCompatibleEventEmitter | ArrayLike<NodeCompatibleEventEmitter>,\n  eventName: string,\n  resultSelector: (...args: any[]) => R\n): Observable<R>;\n\nexport function fromEvent<T>(\n  target: JQueryStyleEventEmitter<any, T> | ArrayLike<JQueryStyleEventEmitter<any, T>>,\n  eventName: string\n): Observable<T>;\nexport function fromEvent<T, R>(\n  target: JQueryStyleEventEmitter<any, T> | ArrayLike<JQueryStyleEventEmitter<any, T>>,\n  eventName: string,\n  resultSelector: (value: T, ...args: any[]) => R\n): Observable<R>;\n\n/**\n * Creates an Observable that emits events of a specific type coming from the\n * given event target.\n *\n * <span class=\"informal\">Creates an Observable from DOM events, or Node.js\n * EventEmitter events or others.</span>\n *\n * ![](fromEvent.png)\n *\n * `fromEvent` accepts as a first argument event target, which is an object with methods\n * for registering event handler functions. As a second argument it takes string that indicates\n * type of event we want to listen for. `fromEvent` supports selected types of event targets,\n * which are described in detail below. If your event target does not match any of the ones listed,\n * you should use {@link fromEventPattern}, which can be used on arbitrary APIs.\n * When it comes to APIs supported by `fromEvent`, their methods for adding and removing event\n * handler functions have different names, but they all accept a string describing event type\n * and function itself, which will be called whenever said event happens.\n *\n * Every time resulting Observable is subscribed, event handler function will be registered\n * to event target on given event type. When that event fires, value\n * passed as a first argument to registered function will be emitted by output Observable.\n * When Observable is unsubscribed, function will be unregistered from event target.\n *\n * Note that if event target calls registered function with more than one argument, second\n * and following arguments will not appear in resulting stream. In order to get access to them,\n * you can pass to `fromEvent` optional project function, which will be called with all arguments\n * passed to event handler. Output Observable will then emit value returned by project function,\n * instead of the usual value.\n *\n * Remember that event targets listed below are checked via duck typing. It means that\n * no matter what kind of object you have and no matter what environment you work in,\n * you can safely use `fromEvent` on that object if it exposes described methods (provided\n * of course they behave as was described above). So for example if Node.js library exposes\n * event target which has the same method names as DOM EventTarget, `fromEvent` is still\n * a good choice.\n *\n * If the API you use is more callback then event handler oriented (subscribed\n * callback function fires only once and thus there is no need to manually\n * unregister it), you should use {@link bindCallback} or {@link bindNodeCallback}\n * instead.\n *\n * `fromEvent` supports following types of event targets:\n *\n * **DOM EventTarget**\n *\n * This is an object with `addEventListener` and `removeEventListener` methods.\n *\n * In the browser, `addEventListener` accepts - apart from event type string and event\n * handler function arguments - optional third parameter, which is either an object or boolean,\n * both used for additional configuration how and when passed function will be called. When\n * `fromEvent` is used with event target of that type, you can provide this values\n * as third parameter as well.\n *\n * **Node.js EventEmitter**\n *\n * An object with `addListener` and `removeListener` methods.\n *\n * **JQuery-style event target**\n *\n * An object with `on` and `off` methods\n *\n * **DOM NodeList**\n *\n * List of DOM Nodes, returned for example by `document.querySelectorAll` or `Node.childNodes`.\n *\n * Although this collection is not event target in itself, `fromEvent` will iterate over all Nodes\n * it contains and install event handler function in every of them. When returned Observable\n * is unsubscribed, function will be removed from all Nodes.\n *\n * **DOM HtmlCollection**\n *\n * Just as in case of NodeList it is a collection of DOM nodes. Here as well event handler function is\n * installed and removed in each of elements.\n *\n *\n * ## Examples\n *\n * Emit clicks happening on the DOM document\n *\n * ```ts\n * import { fromEvent } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * clicks.subscribe(x => console.log(x));\n *\n * // Results in:\n * // MouseEvent object logged to console every time a click\n * // occurs on the document.\n * ```\n *\n * Use `addEventListener` with capture option\n *\n * ```ts\n * import { fromEvent } from 'rxjs';\n *\n * const div = document.createElement('div');\n * div.style.cssText = 'width: 200px; height: 200px; background: #09c;';\n * document.body.appendChild(div);\n *\n * // note optional configuration parameter which will be passed to addEventListener\n * const clicksInDocument = fromEvent(document, 'click', { capture: true });\n * const clicksInDiv = fromEvent(div, 'click');\n *\n * clicksInDocument.subscribe(() => console.log('document'));\n * clicksInDiv.subscribe(() => console.log('div'));\n *\n * // By default events bubble UP in DOM tree, so normally\n * // when we would click on div in document\n * // \"div\" would be logged first and then \"document\".\n * // Since we specified optional `capture` option, document\n * // will catch event when it goes DOWN DOM tree, so console\n * // will log \"document\" and then \"div\".\n * ```\n *\n * @see {@link bindCallback}\n * @see {@link bindNodeCallback}\n * @see {@link fromEventPattern}\n *\n * @param target The DOM EventTarget, Node.js EventEmitter, JQuery-like event target,\n * NodeList or HTMLCollection to attach the event handler to.\n * @param eventName The event name of interest, being emitted by the `target`.\n * @param options Options to pass through to the underlying `addListener`,\n * `addEventListener` or `on` functions.\n * @param resultSelector A mapping function used to transform events. It takes the\n * arguments from the event handler and should return a single value.\n * @return An Observable emitting events registered through `target`'s\n * listener handlers.\n */\nexport function fromEvent<T>(\n  target: any,\n  eventName: string,\n  options?: EventListenerOptions | ((...args: any[]) => T),\n  resultSelector?: (...args: any[]) => T\n): Observable<T> {\n  if (isFunction(options)) {\n    resultSelector = options;\n    options = undefined;\n  }\n  if (resultSelector) {\n    return fromEvent<T>(target, eventName, options as EventListenerOptions).pipe(mapOneOrManyArgs(resultSelector));\n  }\n\n  // Figure out our add and remove methods. In order to do this,\n  // we are going to analyze the target in a preferred order, if\n  // the target matches a given signature, we take the two \"add\" and \"remove\"\n  // method names and apply them to a map to create opposite versions of the\n  // same function. This is because they all operate in duplicate pairs,\n  // `addListener(name, handler)`, `removeListener(name, handler)`, for example.\n  // The call only differs by method name, as to whether or not you're adding or removing.\n  const [add, remove] =\n    // If it is an EventTarget, we need to use a slightly different method than the other two patterns.\n    isEventTarget(target)\n      ? eventTargetMethods.map((methodName) => (handler: any) => target[methodName](eventName, handler, options as EventListenerOptions))\n      : // In all other cases, the call pattern is identical with the exception of the method names.\n      isNodeStyleEventEmitter(target)\n      ? nodeEventEmitterMethods.map(toCommonHandlerRegistry(target, eventName))\n      : isJQueryStyleEventEmitter(target)\n      ? jqueryMethods.map(toCommonHandlerRegistry(target, eventName))\n      : [];\n\n  // If add is falsy, it's because we didn't match a pattern above.\n  // Check to see if it is an ArrayLike, because if it is, we want to\n  // try to apply fromEvent to all of it's items. We do this check last,\n  // because there are may be some types that are both ArrayLike *and* implement\n  // event registry points, and we'd rather delegate to that when possible.\n  if (!add) {\n    if (isArrayLike(target)) {\n      return mergeMap((subTarget: any) => fromEvent(subTarget, eventName, options as EventListenerOptions))(\n        innerFrom(target)\n      ) as Observable<T>;\n    }\n  }\n\n  // If add is falsy and we made it here, it's because we didn't\n  // match any valid target objects above.\n  if (!add) {\n    throw new TypeError('Invalid event target');\n  }\n\n  return new Observable<T>((subscriber) => {\n    // The handler we are going to register. Forwards the event object, by itself, or\n    // an array of arguments to the event handler, if there is more than one argument,\n    // to the consumer.\n    const handler = (...args: any[]) => subscriber.next(1 < args.length ? args : args[0]);\n    // Do the work of adding the handler to the target.\n    add(handler);\n    // When we finalize, we want to remove the handler and free up memory.\n    return () => remove!(handler);\n  });\n}\n\n/**\n * Used to create `add` and `remove` functions to register and unregister event handlers\n * from a target in the most common handler pattern, where there are only two arguments.\n * (e.g.  `on(name, fn)`, `off(name, fn)`, `addListener(name, fn)`, or `removeListener(name, fn)`)\n * @param target The target we're calling methods on\n * @param eventName The event name for the event we're creating register or unregister functions for\n */\nfunction toCommonHandlerRegistry(target: any, eventName: string) {\n  return (methodName: string) => (handler: any) => target[methodName](eventName, handler);\n}\n\n/**\n * Checks to see if the target implements the required node-style EventEmitter methods\n * for adding and removing event handlers.\n * @param target the object to check\n */\nfunction isNodeStyleEventEmitter(target: any): target is NodeStyleEventEmitter {\n  return isFunction(target.addListener) && isFunction(target.removeListener);\n}\n\n/**\n * Checks to see if the target implements the required jQuery-style EventEmitter methods\n * for adding and removing event handlers.\n * @param target the object to check\n */\nfunction isJQueryStyleEventEmitter(target: any): target is JQueryStyleEventEmitter<any, any> {\n  return isFunction(target.on) && isFunction(target.off);\n}\n\n/**\n * Checks to see if the target implements the required EventTarget methods\n * for adding and removing event handlers.\n * @param target the object to check\n */\nfunction isEventTarget(target: any): target is HasEventTargetAddRemove<any> {\n  return isFunction(target.addEventListener) && isFunction(target.removeEventListener);\n}\n", "import { Observable } from '../Observable';\nimport { isFunction } from '../util/isFunction';\nimport { NodeEventHandler } from './fromEvent';\nimport { mapOneOrManyArgs } from '../util/mapOneOrManyArgs';\n\n/* tslint:disable:max-line-length */\nexport function fromEventPattern<T>(\n  addHandler: (handler: NodeEventHandler) => any,\n  removeHandler?: (handler: NodeEventHandler, signal?: any) => void\n): Observable<T>;\nexport function fromEventPattern<T>(\n  addHandler: (handler: NodeEventHandler) => any,\n  removeHandler?: (handler: NodeEventHandler, signal?: any) => void,\n  resultSelector?: (...args: any[]) => T\n): Observable<T>;\n/* tslint:enable:max-line-length */\n\n/**\n * Creates an Observable from an arbitrary API for registering event handlers.\n *\n * <span class=\"informal\">When that method for adding event handler was something {@link fromEvent}\n * was not prepared for.</span>\n *\n * ![](fromEventPattern.png)\n *\n * `fromEventPattern` allows you to convert into an Observable any API that supports registering handler functions\n * for events. It is similar to {@link fromEvent}, but far\n * more flexible. In fact, all use cases of {@link fromEvent} could be easily handled by\n * `fromEventPattern` (although in slightly more verbose way).\n *\n * This operator accepts as a first argument an `addHandler` function, which will be injected with\n * handler parameter. That handler is actually an event handler function that you now can pass\n * to API expecting it. `addHandler` will be called whenever Observable\n * returned by the operator is subscribed, so registering handler in API will not\n * necessarily happen when `fromEventPattern` is called.\n *\n * After registration, every time an event that we listen to happens,\n * Observable returned by `fromEventPattern` will emit value that event handler\n * function was called with. Note that if event handler was called with more\n * than one argument, second and following arguments will not appear in the Observable.\n *\n * If API you are using allows to unregister event handlers as well, you can pass to `fromEventPattern`\n * another function - `removeHandler` - as a second parameter. It will be injected\n * with the same handler function as before, which now you can use to unregister\n * it from the API. `removeHandler` will be called when consumer of resulting Observable\n * unsubscribes from it.\n *\n * In some APIs unregistering is actually handled differently. Method registering an event handler\n * returns some kind of token, which is later used to identify which function should\n * be unregistered or it itself has method that unregisters event handler.\n * If that is the case with your API, make sure token returned\n * by registering method is returned by `addHandler`. Then it will be passed\n * as a second argument to `removeHandler`, where you will be able to use it.\n *\n * If you need access to all event handler parameters (not only the first one),\n * or you need to transform them in any way, you can call `fromEventPattern` with optional\n * third parameter - project function which will accept all arguments passed to\n * event handler when it is called. Whatever is returned from project function will appear on\n * resulting stream instead of usual event handlers first argument. This means\n * that default project can be thought of as function that takes its first parameter\n * and ignores the rest.\n *\n * ## Examples\n *\n * Emits clicks happening on the DOM document\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * function addClickHandler(handler) {\n *   document.addEventListener('click', handler);\n * }\n *\n * function removeClickHandler(handler) {\n *   document.removeEventListener('click', handler);\n * }\n *\n * const clicks = fromEventPattern(\n *   addClickHandler,\n *   removeClickHandler\n * );\n * clicks.subscribe(x => console.log(x));\n *\n * // Whenever you click anywhere in the browser, DOM MouseEvent\n * // object will be logged.\n * ```\n *\n * Use with API that returns cancellation token\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * const token = someAPI.registerEventHandler(function() {});\n * someAPI.unregisterEventHandler(token); // this APIs cancellation method accepts\n *                                        // not handler itself, but special token.\n *\n * const someAPIObservable = fromEventPattern(\n *   function(handler) { return someAPI.registerEventHandler(handler); }, // Note that we return the token here...\n *   function(handler, token) { someAPI.unregisterEventHandler(token); }  // ...to then use it here.\n * );\n * ```\n *\n * Use with project function\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * someAPI.registerEventHandler((eventType, eventMessage) => {\n *   console.log(eventType, eventMessage); // Logs 'EVENT_TYPE' 'EVENT_MESSAGE' to console.\n * });\n *\n * const someAPIObservable = fromEventPattern(\n *   handler => someAPI.registerEventHandler(handler),\n *   handler => someAPI.unregisterEventHandler(handler)\n *   (eventType, eventMessage) => eventType + ' --- ' + eventMessage // without that function only 'EVENT_TYPE'\n * );                                                                // would be emitted by the Observable\n *\n * someAPIObservable.subscribe(value => console.log(value));\n *\n * // Logs:\n * // 'EVENT_TYPE --- EVENT_MESSAGE'\n * ```\n *\n * @see {@link fromEvent}\n * @see {@link bindCallback}\n * @see {@link bindNodeCallback}\n *\n * @param addHandler A function that takes a `handler` function as argument and attaches it\n * somehow to the actual source of events.\n * @param removeHandler A function that takes a `handler` function as an argument and removes\n * it from the event source. If `addHandler` returns some kind of token, `removeHandler` function\n * will have it as a second parameter.\n * @param resultSelector A function to transform results. It takes the arguments from the event\n * handler and should return a single value.\n * @return Observable which, when an event happens, emits first parameter passed to registered\n * event handler. Alternatively it emits whatever project function returns at that moment.\n */\nexport function fromEventPattern<T>(\n  addHandler: (handler: NodeEventHandler) => any,\n  removeHandler?: (handler: NodeEventHandler, signal?: any) => void,\n  resultSelector?: (...args: any[]) => T\n): Observable<T | T[]> {\n  if (resultSelector) {\n    return fromEventPattern<T>(addHandler, removeHandler).pipe(mapOneOrManyArgs(resultSelector));\n  }\n\n  return new Observable<T | T[]>((subscriber) => {\n    const handler = (...e: T[]) => subscriber.next(e.length === 1 ? e[0] : e);\n    const retValue = addHandler(handler);\n    return isFunction(removeHandler) ? () => removeHandler(handler, retValue) : undefined;\n  });\n}\n", "import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { async as asyncScheduler } from '../scheduler/async';\nimport { isScheduler } from '../util/isScheduler';\nimport { isValidDate } from '../util/isDate';\n\n/**\n * Creates an observable that will wait for a specified time period, or exact date, before\n * emitting the number 0.\n *\n * <span class=\"informal\">Used to emit a notification after a delay.</span>\n *\n * This observable is useful for creating delays in code, or racing against other values\n * for ad-hoc timeouts.\n *\n * The `delay` is specified by default in milliseconds, however providing a custom scheduler could\n * create a different behavior.\n *\n * ## Examples\n *\n * Wait 3 seconds and start another observable\n *\n * You might want to use `timer` to delay subscription to an\n * observable by a set amount of time. Here we use a timer with\n * {@link concatMapTo} or {@link concatMap} in order to wait\n * a few seconds and start a subscription to a source.\n *\n * ```ts\n * import { of, timer, concatMap } from 'rxjs';\n *\n * // This could be any observable\n * const source = of(1, 2, 3);\n *\n * timer(3000)\n *   .pipe(concatMap(() => source))\n *   .subscribe(console.log);\n * ```\n *\n * Take all values until the start of the next minute\n *\n * Using a `Date` as the trigger for the first emission, you can\n * do things like wait until midnight to fire an event, or in this case,\n * wait until a new minute starts (chosen so the example wouldn't take\n * too long to run) in order to stop watching a stream. Leveraging\n * {@link takeUntil}.\n *\n * ```ts\n * import { interval, takeUntil, timer } from 'rxjs';\n *\n * // Build a Date object that marks the\n * // next minute.\n * const currentDate = new Date();\n * const startOfNextMinute = new Date(\n *   currentDate.getFullYear(),\n *   currentDate.getMonth(),\n *   currentDate.getDate(),\n *   currentDate.getHours(),\n *   currentDate.getMinutes() + 1\n * );\n *\n * // This could be any observable stream\n * const source = interval(1000);\n *\n * const result = source.pipe(\n *   takeUntil(timer(startOfNextMinute))\n * );\n *\n * result.subscribe(console.log);\n * ```\n *\n * ### Known Limitations\n *\n * - The {@link asyncScheduler} uses `setTimeout` which has limitations for how far in the future it can be scheduled.\n *\n * - If a `scheduler` is provided that returns a timestamp other than an epoch from `now()`, and\n * a `Date` object is passed to the `dueTime` argument, the calculation for when the first emission\n * should occur will be incorrect. In this case, it would be best to do your own calculations\n * ahead of time, and pass a `number` in as the `dueTime`.\n *\n * @param due If a `number`, the amount of time in milliseconds to wait before emitting.\n * If a `Date`, the exact time at which to emit.\n * @param scheduler The scheduler to use to schedule the delay. Defaults to {@link asyncScheduler}.\n */\nexport function timer(due: number | Date, scheduler?: SchedulerLike): Observable<0>;\n\n/**\n * Creates an observable that starts an interval after a specified delay, emitting incrementing numbers -- starting at `0` --\n * on each interval after words.\n *\n * The `delay` and `intervalDuration` are specified by default in milliseconds, however providing a custom scheduler could\n * create a different behavior.\n *\n * ## Example\n *\n * ### Start an interval that starts right away\n *\n * Since {@link interval} waits for the passed delay before starting,\n * sometimes that's not ideal. You may want to start an interval immediately.\n * `timer` works well for this. Here we have both side-by-side so you can\n * see them in comparison.\n *\n * Note that this observable will never complete.\n *\n * ```ts\n * import { timer, interval } from 'rxjs';\n *\n * timer(0, 1000).subscribe(n => console.log('timer', n));\n * interval(1000).subscribe(n => console.log('interval', n));\n * ```\n *\n * ### Known Limitations\n *\n * - The {@link asyncScheduler} uses `setTimeout` which has limitations for how far in the future it can be scheduled.\n *\n * - If a `scheduler` is provided that returns a timestamp other than an epoch from `now()`, and\n * a `Date` object is passed to the `dueTime` argument, the calculation for when the first emission\n * should occur will be incorrect. In this case, it would be best to do your own calculations\n * ahead of time, and pass a `number` in as the `startDue`.\n * @param startDue If a `number`, is the time to wait before starting the interval.\n * If a `Date`, is the exact time at which to start the interval.\n * @param intervalDuration The delay between each value emitted in the interval. Passing a\n * negative number here will result in immediate completion after the first value is emitted, as though\n * no `intervalDuration` was passed at all.\n * @param scheduler The scheduler to use to schedule the delay. Defaults to {@link asyncScheduler}.\n */\nexport function timer(startDue: number | Date, intervalDuration: number, scheduler?: SchedulerLike): Observable<number>;\n\n/**\n * @deprecated The signature allowing `undefined` to be passed for `intervalDuration` will be removed in v8. Use the `timer(dueTime, scheduler?)` signature instead.\n */\nexport function timer(dueTime: number | Date, unused: undefined, scheduler?: SchedulerLike): Observable<0>;\n\nexport function timer(\n  dueTime: number | Date = 0,\n  intervalOrScheduler?: number | SchedulerLike,\n  scheduler: SchedulerLike = asyncScheduler\n): Observable<number> {\n  // Since negative intervalDuration is treated as though no\n  // interval was specified at all, we start with a negative number.\n  let intervalDuration = -1;\n\n  if (intervalOrScheduler != null) {\n    // If we have a second argument, and it's a scheduler,\n    // override the scheduler we had defaulted. Otherwise,\n    // it must be an interval.\n    if (isScheduler(intervalOrScheduler)) {\n      scheduler = intervalOrScheduler;\n    } else {\n      // Note that this *could* be negative, in which case\n      // it's like not passing an intervalDuration at all.\n      intervalDuration = intervalOrScheduler;\n    }\n  }\n\n  return new Observable((subscriber) => {\n    // If a valid date is passed, calculate how long to wait before\n    // executing the first value... otherwise, if it's a number just schedule\n    // that many milliseconds (or scheduler-specified unit size) in the future.\n    let due = isValidDate(dueTime) ? +dueTime - scheduler!.now() : dueTime;\n\n    if (due < 0) {\n      // Ensure we don't schedule in the future.\n      due = 0;\n    }\n\n    // The incrementing value we emit.\n    let n = 0;\n\n    // Start the timer.\n    return scheduler.schedule(function () {\n      if (!subscriber.closed) {\n        // Emit the next value and increment.\n        subscriber.next(n++);\n\n        if (0 <= intervalDuration) {\n          // If we have a interval after the initial timer,\n          // reschedule with the period.\n          this.schedule(undefined, intervalDuration);\n        } else {\n          // We didn't have an interval. So just complete.\n          subscriber.complete();\n        }\n      }\n    }, due);\n  });\n}\n", "import { Observable } from '../Observable';\nimport { ObservableInput, ObservableInputTuple, SchedulerLike } from '../types';\nimport { mergeAll } from '../operators/mergeAll';\nimport { innerFrom } from './innerFrom';\nimport { EMPTY } from './empty';\nimport { popNumber, popScheduler } from '../util/args';\nimport { from } from './from';\n\nexport function merge<A extends readonly unknown[]>(...sources: [...ObservableInputTuple<A>]): Observable<A[number]>;\nexport function merge<A extends readonly unknown[]>(...sourcesAndConcurrency: [...ObservableInputTuple<A>, number?]): Observable<A[number]>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `mergeAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function merge<A extends readonly unknown[]>(\n  ...sourcesAndScheduler: [...ObservableInputTuple<A>, SchedulerLike?]\n): Observable<A[number]>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `mergeAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function merge<A extends readonly unknown[]>(\n  ...sourcesAndConcurrencyAndScheduler: [...ObservableInputTuple<A>, number?, SchedulerLike?]\n): Observable<A[number]>;\n\n/**\n * Creates an output Observable which concurrently emits all values from every\n * given input Observable.\n *\n * <span class=\"informal\">Flattens multiple Observables together by blending\n * their values into one Observable.</span>\n *\n * ![](merge.png)\n *\n * `merge` subscribes to each given input Observable (as arguments), and simply\n * forwards (without doing any transformation) all the values from all the input\n * Observables to the output Observable. The output Observable only completes\n * once all input Observables have completed. Any error delivered by an input\n * Observable will be immediately emitted on the output Observable.\n *\n * ## Examples\n *\n * Merge together two Observables: 1s interval and clicks\n *\n * ```ts\n * import { merge, fromEvent, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const timer = interval(1000);\n * const clicksOrTimer = merge(clicks, timer);\n * clicksOrTimer.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // timer will emit ascending values, one every second(1000ms) to console\n * // clicks logs MouseEvents to console every time the \"document\" is clicked\n * // Since the two streams are merged you see these happening\n * // as they occur.\n * ```\n *\n * Merge together 3 Observables, but run only 2 concurrently\n *\n * ```ts\n * import { interval, take, merge } from 'rxjs';\n *\n * const timer1 = interval(1000).pipe(take(10));\n * const timer2 = interval(2000).pipe(take(6));\n * const timer3 = interval(500).pipe(take(10));\n *\n * const concurrent = 2; // the argument\n * const merged = merge(timer1, timer2, timer3, concurrent);\n * merged.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // - First timer1 and timer2 will run concurrently\n * // - timer1 will emit a value every 1000ms for 10 iterations\n * // - timer2 will emit a value every 2000ms for 6 iterations\n * // - after timer1 hits its max iteration, timer2 will\n * //   continue, and timer3 will start to run concurrently with timer2\n * // - when timer2 hits its max iteration it terminates, and\n * //   timer3 will continue to emit a value every 500ms until it is complete\n * ```\n *\n * @see {@link mergeAll}\n * @see {@link mergeMap}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n *\n * @param args `ObservableInput`s to merge together. If the last parameter\n * is of type number, `merge` will use it to limit number of concurrently\n * subscribed `ObservableInput`s. If the last parameter is {@link SchedulerLike},\n * it will be used for scheduling the emission of values.\n * @return An Observable that emits items that are the result of every input Observable.\n */\nexport function merge(...args: (ObservableInput<unknown> | number | SchedulerLike)[]): Observable<unknown> {\n  const scheduler = popScheduler(args);\n  const concurrent = popNumber(args, Infinity);\n  const sources = args as ObservableInput<unknown>[];\n  return !sources.length\n    ? // No source provided\n      EMPTY\n    : sources.length === 1\n    ? // One source? Just return it.\n      innerFrom(sources[0])\n    : // Merge all sources\n      mergeAll(concurrent)(from(sources, scheduler));\n}\n", "import { Observable } from '../Observable';\nimport { noop } from '../util/noop';\n\n/**\n * An Observable that emits no items to the Observer and never completes.\n *\n * ![](never.png)\n *\n * A simple Observable that emits neither values nor errors nor the completion\n * notification. It can be used for testing purposes or for composing with other\n * Observables. Please note that by never emitting a complete notification, this\n * Observable keeps the subscription from being disposed automatically.\n * Subscriptions need to be manually disposed.\n *\n * ##  Example\n *\n * Emit the number 7, then never emit anything else (not even complete)\n *\n * ```ts\n * import { NEVER, startWith } from 'rxjs';\n *\n * const info = () => console.log('Will not be called');\n *\n * const result = NEVER.pipe(startWith(7));\n * result.subscribe({\n *   next: x => console.log(x),\n *   error: info,\n *   complete: info\n * });\n * ```\n *\n * @see {@link Observable}\n * @see {@link EMPTY}\n * @see {@link of}\n * @see {@link throwError}\n */\nexport const NEVER = new Observable<never>(noop);\n\n/**\n * @deprecated Replaced with the {@link NEVER} constant. Will be removed in v8.\n */\nexport function never() {\n  return NEVER;\n}\n", "const { isArray } = Array;\n\n/**\n * Used in operators and functions that accept either a list of arguments, or an array of arguments\n * as a single argument.\n */\nexport function argsOrArgArray<T>(args: (T | T[])[]): T[] {\n  return args.length === 1 && isArray(args[0]) ? args[0] : (args as T[]);\n}\n", "import { OperatorFunction, MonoTypeOperatorFunction, TruthyTypesOf } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/** @deprecated Use a closure instead of a `thisArg`. Signatures accepting a `thisArg` will be removed in v8. */\nexport function filter<T, S extends T, A>(predicate: (this: A, value: T, index: number) => value is S, thisArg: A): OperatorFunction<T, S>;\nexport function filter<T, S extends T>(predicate: (value: T, index: number) => value is S): OperatorFunction<T, S>;\nexport function filter<T>(predicate: BooleanConstructor): OperatorFunction<T, TruthyTypesOf<T>>;\n/** @deprecated Use a closure instead of a `thisArg`. Signatures accepting a `thisArg` will be removed in v8. */\nexport function filter<T, A>(predicate: (this: A, value: T, index: number) => boolean, thisArg: A): MonoTypeOperatorFunction<T>;\nexport function filter<T>(predicate: (value: T, index: number) => boolean): MonoTypeOperatorFunction<T>;\n\n/**\n * Filter items emitted by the source Observable by only emitting those that\n * satisfy a specified predicate.\n *\n * <span class=\"informal\">Like\n * [Array.prototype.filter()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/filter),\n * it only emits a value from the source if it passes a criterion function.</span>\n *\n * ![](filter.png)\n *\n * Similar to the well-known `Array.prototype.filter` method, this operator\n * takes values from the source Observable, passes them through a `predicate`\n * function and only emits those values that yielded `true`.\n *\n * ## Example\n *\n * Emit only click events whose target was a DIV element\n *\n * ```ts\n * import { fromEvent, filter } from 'rxjs';\n *\n * const div = document.createElement('div');\n * div.style.cssText = 'width: 200px; height: 200px; background: #09c;';\n * document.body.appendChild(div);\n *\n * const clicks = fromEvent(document, 'click');\n * const clicksOnDivs = clicks.pipe(filter(ev => (<HTMLElement>ev.target).tagName === 'DIV'));\n * clicksOnDivs.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link distinct}\n * @see {@link distinctUntilChanged}\n * @see {@link distinctUntilKeyChanged}\n * @see {@link ignoreElements}\n * @see {@link partition}\n * @see {@link skip}\n *\n * @param predicate A function that\n * evaluates each value emitted by the source Observable. If it returns `true`,\n * the value is emitted, if `false` the value is not passed to the output\n * Observable. The `index` parameter is the number `i` for the i-th source\n * emission that has happened since the subscription, starting from the number\n * `0`.\n * @param thisArg An optional argument to determine the value of `this`\n * in the `predicate` function.\n * @return A function that returns an Observable that emits items from the\n * source Observable that satisfy the specified `predicate`.\n */\nexport function filter<T>(predicate: (value: T, index: number) => boolean, thisArg?: any): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    // An index passed to our predicate function on each call.\n    let index = 0;\n\n    // Subscribe to the source, all errors and completions are\n    // forwarded to the consumer.\n    source.subscribe(\n      // Call the predicate with the appropriate `this` context,\n      // if the predicate returns `true`, then send the value\n      // to the consumer.\n      createOperatorSubscriber(subscriber, (value) => predicate.call(thisArg, value, index++) && subscriber.next(value))\n    );\n  });\n}\n", "import { Observable } from '../Observable';\nimport { ObservableInputTuple } from '../types';\nimport { innerFrom } from './innerFrom';\nimport { argsOrArgArray } from '../util/argsOrArgArray';\nimport { EMPTY } from './empty';\nimport { createOperatorSubscriber } from '../operators/OperatorSubscriber';\nimport { popResultSelector } from '../util/args';\n\nexport function zip<A extends readonly unknown[]>(sources: [...ObservableInputTuple<A>]): Observable<A>;\nexport function zip<A extends readonly unknown[], R>(\n  sources: [...ObservableInputTuple<A>],\n  resultSelector: (...values: A) => R\n): Observable<R>;\nexport function zip<A extends readonly unknown[]>(...sources: [...ObservableInputTuple<A>]): Observable<A>;\nexport function zip<A extends readonly unknown[], R>(\n  ...sourcesAndResultSelector: [...ObservableInputTuple<A>, (...values: A) => R]\n): Observable<R>;\n\n/**\n * Combines multiple Observables to create an Observable whose values are calculated from the values, in order, of each\n * of its input Observables.\n *\n * If the last parameter is a function, this function is used to compute the created value from the input values.\n * Otherwise, an array of the input values is returned.\n *\n * ## Example\n *\n * Combine age and name from different sources\n *\n * ```ts\n * import { of, zip, map } from 'rxjs';\n *\n * const age$ = of(27, 25, 29);\n * const name$ = of('Foo', 'Bar', 'Beer');\n * const isDev$ = of(true, true, false);\n *\n * zip(age$, name$, isDev$).pipe(\n *   map(([age, name, isDev]) => ({ age, name, isDev }))\n * )\n * .subscribe(x => console.log(x));\n *\n * // Outputs\n * // { age: 27, name: 'Foo', isDev: true }\n * // { age: 25, name: 'Bar', isDev: true }\n * // { age: 29, name: 'Beer', isDev: false }\n * ```\n *\n * @param args Any number of `ObservableInput`s provided either as an array or as an object\n * to combine with each other.\n * @return An Observable of array values of the values emitted at the same index from each\n * individual `ObservableInput`.\n */\nexport function zip(...args: unknown[]): Observable<unknown> {\n  const resultSelector = popResultSelector(args);\n\n  const sources = argsOrArgArray(args) as Observable<unknown>[];\n\n  return sources.length\n    ? new Observable<unknown[]>((subscriber) => {\n        // A collection of buffers of values from each source.\n        // Keyed by the same index with which the sources were passed in.\n        let buffers: unknown[][] = sources.map(() => []);\n\n        // An array of flags of whether or not the sources have completed.\n        // This is used to check to see if we should complete the result.\n        // Keyed by the same index with which the sources were passed in.\n        let completed = sources.map(() => false);\n\n        // When everything is done, release the arrays above.\n        subscriber.add(() => {\n          buffers = completed = null!;\n        });\n\n        // Loop over our sources and subscribe to each one. The index `i` is\n        // especially important here, because we use it in closures below to\n        // access the related buffers and completion properties\n        for (let sourceIndex = 0; !subscriber.closed && sourceIndex < sources.length; sourceIndex++) {\n          innerFrom(sources[sourceIndex]).subscribe(\n            createOperatorSubscriber(\n              subscriber,\n              (value) => {\n                buffers[sourceIndex].push(value);\n                // if every buffer has at least one value in it, then we\n                // can shift out the oldest value from each buffer and emit\n                // them as an array.\n                if (buffers.every((buffer) => buffer.length)) {\n                  const result: any = buffers.map((buffer) => buffer.shift()!);\n                  // Emit the array. If theres' a result selector, use that.\n                  subscriber.next(resultSelector ? resultSelector(...result) : result);\n                  // If any one of the sources is both complete and has an empty buffer\n                  // then we complete the result. This is because we cannot possibly have\n                  // any more values to zip together.\n                  if (buffers.some((buffer, i) => !buffer.length && completed[i])) {\n                    subscriber.complete();\n                  }\n                }\n              },\n              () => {\n                // This source completed. Mark it as complete so we can check it later\n                // if we have to.\n                completed[sourceIndex] = true;\n                // But, if this complete source has nothing in its buffer, then we\n                // can complete the result, because we can't possibly have any more\n                // values from this to zip together with the other values.\n                !buffers[sourceIndex].length && subscriber.complete();\n              }\n            )\n          );\n        }\n\n        // When everything is done, release the arrays above.\n        return () => {\n          buffers = completed = null!;\n        };\n      })\n    : EMPTY;\n}\n", "import { Subscriber } from '../Subscriber';\nimport { MonoTypeOperatorFunction, ObservableInput } from '../types';\n\nimport { operate } from '../util/lift';\nimport { innerFrom } from '../observable/innerFrom';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Ignores source values for a duration determined by another Observable, then\n * emits the most recent value from the source Observable, then repeats this\n * process.\n *\n * <span class=\"informal\">It's like {@link auditTime}, but the silencing\n * duration is determined by a second Observable.</span>\n *\n * ![](audit.svg)\n *\n * `audit` is similar to `throttle`, but emits the last value from the silenced\n * time window, instead of the first value. `audit` emits the most recent value\n * from the source Observable on the output Observable as soon as its internal\n * timer becomes disabled, and ignores source values while the timer is enabled.\n * Initially, the timer is disabled. As soon as the first source value arrives,\n * the timer is enabled by calling the `durationSelector` function with the\n * source value, which returns the \"duration\" Observable. When the duration\n * Observable emits a value, the timer is disabled, then the most\n * recent source value is emitted on the output Observable, and this process\n * repeats for the next source value.\n *\n * ## Example\n *\n * Emit clicks at a rate of at most one click per second\n *\n * ```ts\n * import { fromEvent, audit, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(audit(ev => interval(1000)));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link auditTime}\n * @see {@link debounce}\n * @see {@link delayWhen}\n * @see {@link sample}\n * @see {@link throttle}\n *\n * @param durationSelector A function\n * that receives a value from the source Observable, for computing the silencing\n * duration, returned as an Observable or a Promise.\n * @return A function that returns an Observable that performs rate-limiting of\n * emissions from the source Observable.\n */\nexport function audit<T>(durationSelector: (value: T) => ObservableInput<any>): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let hasValue = false;\n    let lastValue: T | null = null;\n    let durationSubscriber: Subscriber<any> | null = null;\n    let isComplete = false;\n\n    const endDuration = () => {\n      durationSubscriber?.unsubscribe();\n      durationSubscriber = null;\n      if (hasValue) {\n        hasValue = false;\n        const value = lastValue!;\n        lastValue = null;\n        subscriber.next(value);\n      }\n      isComplete && subscriber.complete();\n    };\n\n    const cleanupDuration = () => {\n      durationSubscriber = null;\n      isComplete && subscriber.complete();\n    };\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          hasValue = true;\n          lastValue = value;\n          if (!durationSubscriber) {\n            innerFrom(durationSelector(value)).subscribe(\n              (durationSubscriber = createOperatorSubscriber(subscriber, endDuration, cleanupDuration))\n            );\n          }\n        },\n        () => {\n          isComplete = true;\n          (!hasValue || !durationSubscriber || durationSubscriber.closed) && subscriber.complete();\n        }\n      )\n    );\n  });\n}\n", "import { asyncScheduler } from '../scheduler/async';\nimport { audit } from './audit';\nimport { timer } from '../observable/timer';\nimport { MonoTypeOperatorFunction, SchedulerLike } from '../types';\n\n/**\n * Ignores source values for `duration` milliseconds, then emits the most recent\n * value from the source Observable, then repeats this process.\n *\n * <span class=\"informal\">When it sees a source value, it ignores that plus\n * the next ones for `duration` milliseconds, and then it emits the most recent\n * value from the source.</span>\n *\n * ![](auditTime.png)\n *\n * `auditTime` is similar to `throttleTime`, but emits the last value from the\n * silenced time window, instead of the first value. `auditTime` emits the most\n * recent value from the source Observable on the output Observable as soon as\n * its internal timer becomes disabled, and ignores source values while the\n * timer is enabled. Initially, the timer is disabled. As soon as the first\n * source value arrives, the timer is enabled. After `duration` milliseconds (or\n * the time unit determined internally by the optional `scheduler`) has passed,\n * the timer is disabled, then the most recent source value is emitted on the\n * output Observable, and this process repeats for the next source value.\n * Optionally takes a {@link SchedulerLike} for managing timers.\n *\n * ## Example\n *\n * Emit clicks at a rate of at most one click per second\n *\n * ```ts\n * import { fromEvent, auditTime } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(auditTime(1000));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link audit}\n * @see {@link debounceTime}\n * @see {@link delay}\n * @see {@link sampleTime}\n * @see {@link throttleTime}\n *\n * @param duration Time to wait before emitting the most recent source value,\n * measured in milliseconds or the time unit determined internally by the\n * optional `scheduler`.\n * @param scheduler The {@link SchedulerLike} to use for managing the timers\n * that handle the rate-limiting behavior.\n * @return A function that returns an Observable that performs rate-limiting of\n * emissions from the source Observable.\n */\nexport function auditTime<T>(duration: number, scheduler: SchedulerLike = asyncScheduler): MonoTypeOperatorFunction<T> {\n  return audit(() => timer(duration, scheduler));\n}\n", "import { OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { arrRemove } from '../util/arrRemove';\n\n/**\n * Buffers the source Observable values until the size hits the maximum\n * `bufferSize` given.\n *\n * <span class=\"informal\">Collects values from the past as an array, and emits\n * that array only when its size reaches `bufferSize`.</span>\n *\n * ![](bufferCount.png)\n *\n * Buffers a number of values from the source Observable by `bufferSize` then\n * emits the buffer and clears it, and starts a new buffer each\n * `startBufferEvery` values. If `startBufferEvery` is not provided or is\n * `null`, then new buffers are started immediately at the start of the source\n * and when each buffer closes and is emitted.\n *\n * ## Examples\n *\n * Emit the last two click events as an array\n *\n * ```ts\n * import { fromEvent, bufferCount } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const buffered = clicks.pipe(bufferCount(2));\n * buffered.subscribe(x => console.log(x));\n * ```\n *\n * On every click, emit the last two click events as an array\n *\n * ```ts\n * import { fromEvent, bufferCount } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const buffered = clicks.pipe(bufferCount(2, 1));\n * buffered.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link buffer}\n * @see {@link bufferTime}\n * @see {@link bufferToggle}\n * @see {@link bufferWhen}\n * @see {@link pairwise}\n * @see {@link windowCount}\n *\n * @param bufferSize The maximum size of the buffer emitted.\n * @param startBufferEvery Interval at which to start a new buffer.\n * For example if `startBufferEvery` is `2`, then a new buffer will be started\n * on every other value from the source. A new buffer is started at the\n * beginning of the source by default.\n * @return A function that returns an Observable of arrays of buffered values.\n */\nexport function bufferCount<T>(bufferSize: number, startBufferEvery: number | null = null): OperatorFunction<T, T[]> {\n  // If no `startBufferEvery` value was supplied, then we're\n  // opening and closing on the bufferSize itself.\n  startBufferEvery = startBufferEvery ?? bufferSize;\n\n  return operate((source, subscriber) => {\n    let buffers: T[][] = [];\n    let count = 0;\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          let toEmit: T[][] | null = null;\n\n          // Check to see if we need to start a buffer.\n          // This will start one at the first value, and then\n          // a new one every N after that.\n          if (count++ % startBufferEvery! === 0) {\n            buffers.push([]);\n          }\n\n          // Push our value into our active buffers.\n          for (const buffer of buffers) {\n            buffer.push(value);\n            // Check to see if we're over the bufferSize\n            // if we are, record it so we can emit it later.\n            // If we emitted it now and removed it, it would\n            // mutate the `buffers` array while we're looping\n            // over it.\n            if (bufferSize <= buffer.length) {\n              toEmit = toEmit ?? [];\n              toEmit.push(buffer);\n            }\n          }\n\n          if (toEmit) {\n            // We have found some buffers that are over the\n            // `bufferSize`. Emit them, and remove them from our\n            // buffers list.\n            for (const buffer of toEmit) {\n              arrRemove(buffers, buffer);\n              subscriber.next(buffer);\n            }\n          }\n        },\n        () => {\n          // When the source completes, emit all of our\n          // active buffers.\n          for (const buffer of buffers) {\n            subscriber.next(buffer);\n          }\n          subscriber.complete();\n        },\n        // Pass all errors through to consumer.\n        undefined,\n        () => {\n          // Clean up our memory when we finalize\n          buffers = null!;\n        }\n      )\n    );\n  });\n}\n", "import { Observable } from '../Observable';\n\nimport { ObservableInput, OperatorFunction, ObservedValueOf } from '../types';\nimport { Subscription } from '../Subscription';\nimport { innerFrom } from '../observable/innerFrom';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { operate } from '../util/lift';\n\nexport function catchError<T, O extends ObservableInput<any>>(\n  selector: (err: any, caught: Observable<T>) => O\n): OperatorFunction<T, T | ObservedValueOf<O>>;\n\n/**\n * Catches errors on the observable to be handled by returning a new observable or throwing an error.\n *\n * <span class=\"informal\">\n * It only listens to the error channel and ignores notifications.\n * Handles errors from the source observable, and maps them to a new observable.\n * The error may also be rethrown, or a new error can be thrown to emit an error from the result.\n * </span>\n *\n * ![](catch.png)\n *\n * This operator handles errors, but forwards along all other events to the resulting observable.\n * If the source observable terminates with an error, it will map that error to a new observable,\n * subscribe to it, and forward all of its events to the resulting observable.\n *\n * ## Examples\n *\n * Continue with a different Observable when there's an error\n *\n * ```ts\n * import { of, map, catchError } from 'rxjs';\n *\n * of(1, 2, 3, 4, 5)\n *   .pipe(\n *     map(n => {\n *       if (n === 4) {\n *         throw 'four!';\n *       }\n *       return n;\n *     }),\n *     catchError(err => of('I', 'II', 'III', 'IV', 'V'))\n *   )\n *   .subscribe(x => console.log(x));\n *   // 1, 2, 3, I, II, III, IV, V\n * ```\n *\n * Retry the caught source Observable again in case of error, similar to `retry()` operator\n *\n * ```ts\n * import { of, map, catchError, take } from 'rxjs';\n *\n * of(1, 2, 3, 4, 5)\n *   .pipe(\n *     map(n => {\n *       if (n === 4) {\n *         throw 'four!';\n *       }\n *       return n;\n *     }),\n *     catchError((err, caught) => caught),\n *     take(30)\n *   )\n *   .subscribe(x => console.log(x));\n *   // 1, 2, 3, 1, 2, 3, ...\n * ```\n *\n * Throw a new error when the source Observable throws an error\n *\n * ```ts\n * import { of, map, catchError } from 'rxjs';\n *\n * of(1, 2, 3, 4, 5)\n *   .pipe(\n *     map(n => {\n *       if (n === 4) {\n *         throw 'four!';\n *       }\n *       return n;\n *     }),\n *     catchError(err => {\n *       throw 'error in source. Details: ' + err;\n *     })\n *   )\n *   .subscribe({\n *     next: x => console.log(x),\n *     error: err => console.log(err)\n *   });\n *   // 1, 2, 3, error in source. Details: four!\n * ```\n *\n * @see {@link onErrorResumeNext}\n * @see {@link repeat}\n * @see {@link repeatWhen}\n * @see {@link retry }\n * @see {@link retryWhen}\n *\n * @param selector A function that takes as arguments `err`, which is the error, and `caught`, which\n * is the source observable, in case you'd like to \"retry\" that observable by returning it again.\n * Whatever observable is returned by the `selector` will be used to continue the observable chain.\n * @return A function that returns an Observable that originates from either\n * the source or the Observable returned by the `selector` function.\n */\nexport function catchError<T, O extends ObservableInput<any>>(\n  selector: (err: any, caught: Observable<T>) => O\n): OperatorFunction<T, T | ObservedValueOf<O>> {\n  return operate((source, subscriber) => {\n    let innerSub: Subscription | null = null;\n    let syncUnsub = false;\n    let handledResult: Observable<ObservedValueOf<O>>;\n\n    innerSub = source.subscribe(\n      createOperatorSubscriber(subscriber, undefined, undefined, (err) => {\n        handledResult = innerFrom(selector(err, catchError(selector)(source)));\n        if (innerSub) {\n          innerSub.unsubscribe();\n          innerSub = null;\n          handledResult.subscribe(subscriber);\n        } else {\n          // We don't have an innerSub yet, that means the error was synchronous\n          // because the subscribe call hasn't returned yet.\n          syncUnsub = true;\n        }\n      })\n    );\n\n    if (syncUnsub) {\n      // We have a synchronous error, we need to make sure to\n      // finalize right away. This ensures that callbacks in the `finalize` operator are called\n      // at the right time, and that finalization occurs at the expected\n      // time between the source error and the subscription to the\n      // next observable.\n      innerSub.unsubscribe();\n      innerSub = null;\n      handledResult!.subscribe(subscriber);\n    }\n  });\n}\n", "import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * A basic scan operation. This is used for `scan` and `reduce`.\n * @param accumulator The accumulator to use\n * @param seed The seed value for the state to accumulate\n * @param hasSeed Whether or not a seed was provided\n * @param emitOnNext Whether or not to emit the state on next\n * @param emitBeforeComplete Whether or not to emit the before completion\n */\n\nexport function scanInternals<V, A, S>(\n  accumulator: (acc: V | A | S, value: V, index: number) => A,\n  seed: S,\n  hasSeed: boolean,\n  emitOnNext: boolean,\n  emitBeforeComplete?: undefined | true\n) {\n  return (source: Observable<V>, subscriber: Subscriber<any>) => {\n    // Whether or not we have state yet. This will only be\n    // false before the first value arrives if we didn't get\n    // a seed value.\n    let hasState = hasSeed;\n    // The state that we're tracking, starting with the seed,\n    // if there is one, and then updated by the return value\n    // from the accumulator on each emission.\n    let state: any = seed;\n    // An index to pass to the accumulator function.\n    let index = 0;\n\n    // Subscribe to our source. All errors and completions are passed through.\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          // Always increment the index.\n          const i = index++;\n          // Set the state\n          state = hasState\n            ? // We already have state, so we can get the new state from the accumulator\n              accumulator(state, value, i)\n            : // We didn't have state yet, a seed value was not provided, so\n\n              // we set the state to the first value, and mark that we have state now\n              ((hasState = true), value);\n\n          // Maybe send it to the consumer.\n          emitOnNext && subscriber.next(state);\n        },\n        // If an onComplete was given, call it, otherwise\n        // just pass through the complete notification to the consumer.\n        emitBeforeComplete &&\n          (() => {\n            hasState && subscriber.next(state);\n            subscriber.complete();\n          })\n      )\n    );\n  };\n}\n", "import { combineLatestInit } from '../observable/combineLatest';\nimport { ObservableInput, ObservableInputTuple, OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { argsOrArgArray } from '../util/argsOrArgArray';\nimport { mapOneOrManyArgs } from '../util/mapOneOrManyArgs';\nimport { pipe } from '../util/pipe';\nimport { popResultSelector } from '../util/args';\n\n/** @deprecated Replaced with {@link combineLatestWith}. Will be removed in v8. */\nexport function combineLatest<T, A extends readonly unknown[], R>(\n  sources: [...ObservableInputTuple<A>],\n  project: (...values: [T, ...A]) => R\n): OperatorFunction<T, R>;\n/** @deprecated Replaced with {@link combineLatestWith}. Will be removed in v8. */\nexport function combineLatest<T, A extends readonly unknown[], R>(sources: [...ObservableInputTuple<A>]): OperatorFunction<T, [T, ...A]>;\n\n/** @deprecated Replaced with {@link combineLatestWith}. Will be removed in v8. */\nexport function combineLatest<T, A extends readonly unknown[], R>(\n  ...sourcesAndProject: [...ObservableInputTuple<A>, (...values: [T, ...A]) => R]\n): OperatorFunction<T, R>;\n/** @deprecated Replaced with {@link combineLatestWith}. Will be removed in v8. */\nexport function combineLatest<T, A extends readonly unknown[], R>(...sources: [...ObservableInputTuple<A>]): OperatorFunction<T, [T, ...A]>;\n\n/**\n * @deprecated Replaced with {@link combineLatestWith}. Will be removed in v8.\n */\nexport function combineLatest<T, R>(...args: (ObservableInput<any> | ((...values: any[]) => R))[]): OperatorFunction<T, unknown> {\n  const resultSelector = popResultSelector(args);\n  return resultSelector\n    ? pipe(combineLatest(...(args as Array<ObservableInput<any>>)), mapOneOrManyArgs(resultSelector))\n    : operate((source, subscriber) => {\n        combineLatestInit([source, ...argsOrArgArray(args)])(subscriber);\n      });\n}\n", "import { ObservableInputTuple, OperatorFunction, Cons } from '../types';\nimport { combineLatest } from './combineLatest';\n\n/**\n * Create an observable that combines the latest values from all passed observables and the source\n * into arrays and emits them.\n *\n * Returns an observable, that when subscribed to, will subscribe to the source observable and all\n * sources provided as arguments. Once all sources emit at least one value, all of the latest values\n * will be emitted as an array. After that, every time any source emits a value, all of the latest values\n * will be emitted as an array.\n *\n * This is a useful operator for eagerly calculating values based off of changed inputs.\n *\n * ## Example\n *\n * Simple concatenation of values from two inputs\n *\n * ```ts\n * import { fromEvent, combineLatestWith, map } from 'rxjs';\n *\n * // Setup: Add two inputs to the page\n * const input1 = document.createElement('input');\n * document.body.appendChild(input1);\n * const input2 = document.createElement('input');\n * document.body.appendChild(input2);\n *\n * // Get streams of changes\n * const input1Changes$ = fromEvent(input1, 'change');\n * const input2Changes$ = fromEvent(input2, 'change');\n *\n * // Combine the changes by adding them together\n * input1Changes$.pipe(\n *   combineLatestWith(input2Changes$),\n *   map(([e1, e2]) => (<HTMLInputElement>e1.target).value + ' - ' + (<HTMLInputElement>e2.target).value)\n * )\n * .subscribe(x => console.log(x));\n * ```\n *\n * @param otherSources the other sources to subscribe to.\n * @return A function that returns an Observable that emits the latest\n * emissions from both source and provided Observables.\n */\nexport function combineLatestWith<T, A extends readonly unknown[]>(\n  ...otherSources: [...ObservableInputTuple<A>]\n): OperatorFunction<T, Cons<T, A>> {\n  return combineLatest(...otherSources);\n}\n", "import { Subscriber } from '../Subscriber';\nimport { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\nimport { noop } from '../util/noop';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\n\n/**\n * Emits a notification from the source Observable only after a particular time span\n * determined by another Observable has passed without another source emission.\n *\n * <span class=\"informal\">It's like {@link debounceTime}, but the time span of\n * emission silence is determined by a second Observable.</span>\n *\n * ![](debounce.svg)\n *\n * `debounce` delays notifications emitted by the source Observable, but drops previous\n * pending delayed emissions if a new notification arrives on the source Observable.\n * This operator keeps track of the most recent notification from the source\n * Observable, and spawns a duration Observable by calling the\n * `durationSelector` function. The notification is emitted only when the duration\n * Observable emits a next notification, and if no other notification was emitted on\n * the source Observable since the duration Observable was spawned. If a new\n * notification appears before the duration Observable emits, the previous notification will\n * not be emitted and a new duration is scheduled from `durationSelector` is scheduled.\n * If the completing event happens during the scheduled duration the last cached notification\n * is emitted before the completion event is forwarded to the output observable.\n * If the error event happens during the scheduled duration or after it only the error event is\n * forwarded to the output observable. The cache notification is not emitted in this case.\n *\n * Like {@link debounceTime}, this is a rate-limiting operator, and also a\n * delay-like operator since output emissions do not necessarily occur at the\n * same time as they did on the source Observable.\n *\n * ## Example\n *\n * Emit the most recent click after a burst of clicks\n *\n * ```ts\n * import { fromEvent, scan, debounce, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(\n *   scan(i => ++i, 1),\n *   debounce(i => interval(200 * i))\n * );\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link audit}\n * @see {@link auditTime}\n * @see {@link debounceTime}\n * @see {@link delay}\n * @see {@link sample}\n * @see {@link sampleTime}\n * @see {@link throttle}\n * @see {@link throttleTime}\n *\n * @param durationSelector A function\n * that receives a value from the source Observable, for computing the timeout\n * duration for each source value, returned as an Observable or a Promise.\n * @return A function that returns an Observable that delays the emissions of\n * the source Observable by the specified duration Observable returned by\n * `durationSelector`, and may drop some values if they occur too frequently.\n */\nexport function debounce<T>(durationSelector: (value: T) => ObservableInput<any>): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let hasValue = false;\n    let lastValue: T | null = null;\n    // The subscriber/subscription for the current debounce, if there is one.\n    let durationSubscriber: Subscriber<any> | null = null;\n\n    const emit = () => {\n      // Unsubscribe any current debounce subscription we have,\n      // we only cared about the first notification from it, and we\n      // want to clean that subscription up as soon as possible.\n      durationSubscriber?.unsubscribe();\n      durationSubscriber = null;\n      if (hasValue) {\n        // We have a value! Free up memory first, then emit the value.\n        hasValue = false;\n        const value = lastValue!;\n        lastValue = null;\n        subscriber.next(value);\n      }\n    };\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value: T) => {\n          // Cancel any pending debounce duration. We don't\n          // need to null it out here yet tho, because we're just going\n          // to create another one in a few lines.\n          durationSubscriber?.unsubscribe();\n          hasValue = true;\n          lastValue = value;\n          // Capture our duration subscriber, so we can unsubscribe it when we're notified\n          // and we're going to emit the value.\n          durationSubscriber = createOperatorSubscriber(subscriber, emit, noop);\n          // Subscribe to the duration.\n          innerFrom(durationSelector(value)).subscribe(durationSubscriber);\n        },\n        () => {\n          // Source completed.\n          // Emit any pending debounced values then complete\n          emit();\n          subscriber.complete();\n        },\n        // Pass all errors through to consumer\n        undefined,\n        () => {\n          // Finalization.\n          lastValue = durationSubscriber = null;\n        }\n      )\n    );\n  });\n}\n", "import { asyncScheduler } from '../scheduler/async';\nimport { Subscription } from '../Subscription';\nimport { MonoTypeOperatorFunction, SchedulerAction, SchedulerLike } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Emits a notification from the source Observable only after a particular time span\n * has passed without another source emission.\n *\n * <span class=\"informal\">It's like {@link delay}, but passes only the most\n * recent notification from each burst of emissions.</span>\n *\n * ![](debounceTime.png)\n *\n * `debounceTime` delays notifications emitted by the source Observable, but drops\n * previous pending delayed emissions if a new notification arrives on the source\n * Observable. This operator keeps track of the most recent notification from the\n * source Observable, and emits that only when `dueTime` has passed\n * without any other notification appearing on the source Observable. If a new value\n * appears before `dueTime` silence occurs, the previous notification will be dropped\n * and will not be emitted and a new `dueTime` is scheduled.\n * If the completing event happens during `dueTime` the last cached notification\n * is emitted before the completion event is forwarded to the output observable.\n * If the error event happens during `dueTime` or after it only the error event is\n * forwarded to the output observable. The cache notification is not emitted in this case.\n *\n * This is a rate-limiting operator, because it is impossible for more than one\n * notification to be emitted in any time window of duration `dueTime`, but it is also\n * a delay-like operator since output emissions do not occur at the same time as\n * they did on the source Observable. Optionally takes a {@link SchedulerLike} for\n * managing timers.\n *\n * ## Example\n *\n * Emit the most recent click after a burst of clicks\n *\n * ```ts\n * import { fromEvent, debounceTime } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(debounceTime(1000));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link audit}\n * @see {@link auditTime}\n * @see {@link debounce}\n * @see {@link sample}\n * @see {@link sampleTime}\n * @see {@link throttle}\n * @see {@link throttleTime}\n *\n * @param dueTime The timeout duration in milliseconds (or the time unit determined\n * internally by the optional `scheduler`) for the window of time required to wait\n * for emission silence before emitting the most recent source value.\n * @param scheduler The {@link SchedulerLike} to use for managing the timers that\n * handle the timeout for each value.\n * @return A function that returns an Observable that delays the emissions of\n * the source Observable by the specified `dueTime`, and may drop some values\n * if they occur too frequently.\n */\nexport function debounceTime<T>(dueTime: number, scheduler: SchedulerLike = asyncScheduler): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let activeTask: Subscription | null = null;\n    let lastValue: T | null = null;\n    let lastTime: number | null = null;\n\n    const emit = () => {\n      if (activeTask) {\n        // We have a value! Free up memory first, then emit the value.\n        activeTask.unsubscribe();\n        activeTask = null;\n        const value = lastValue!;\n        lastValue = null;\n        subscriber.next(value);\n      }\n    };\n    function emitWhenIdle(this: SchedulerAction<unknown>) {\n      // This is called `dueTime` after the first value\n      // but we might have received new values during this window!\n\n      const targetTime = lastTime! + dueTime;\n      const now = scheduler.now();\n      if (now < targetTime) {\n        // On that case, re-schedule to the new target\n        activeTask = this.schedule(undefined, targetTime - now);\n        subscriber.add(activeTask);\n        return;\n      }\n\n      emit();\n    }\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value: T) => {\n          lastValue = value;\n          lastTime = scheduler.now();\n\n          // Only set up a task if it's not already up\n          if (!activeTask) {\n            activeTask = scheduler.schedule(emitWhenIdle, dueTime);\n            subscriber.add(activeTask);\n          }\n        },\n        () => {\n          // Source completed.\n          // Emit any pending debounced values then complete\n          emit();\n          subscriber.complete();\n        },\n        // Pass all errors through to consumer.\n        undefined,\n        () => {\n          // Finalization.\n          lastValue = activeTask = null;\n        }\n      )\n    );\n  });\n}\n", "import { OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Emits a given value if the source Observable completes without emitting any\n * `next` value, otherwise mirrors the source Observable.\n *\n * <span class=\"informal\">If the source Observable turns out to be empty, then\n * this operator will emit a default value.</span>\n *\n * ![](defaultIfEmpty.png)\n *\n * `defaultIfEmpty` emits the values emitted by the source Observable or a\n * specified default value if the source Observable is empty (completes without\n * having emitted any `next` value).\n *\n * ## Example\n *\n * If no clicks happen in 5 seconds, then emit 'no clicks'\n *\n * ```ts\n * import { fromEvent, takeUntil, interval, defaultIfEmpty } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const clicksBeforeFive = clicks.pipe(takeUntil(interval(5000)));\n * const result = clicksBeforeFive.pipe(defaultIfEmpty('no clicks'));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link empty}\n * @see {@link last}\n *\n * @param defaultValue The default value used if the source\n * Observable is empty.\n * @return A function that returns an Observable that emits either the\n * specified `defaultValue` if the source Observable emits no items, or the\n * values emitted by the source Observable.\n */\nexport function defaultIfEmpty<T, R>(defaultValue: R): OperatorFunction<T, T | R> {\n  return operate((source, subscriber) => {\n    let hasValue = false;\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          hasValue = true;\n          subscriber.next(value);\n        },\n        () => {\n          if (!hasValue) {\n            subscriber.next(defaultValue!);\n          }\n          subscriber.complete();\n        }\n      )\n    );\n  });\n}\n", "import { MonoTypeOperatorFunction } from '../types';\nimport { EMPTY } from '../observable/empty';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Emits only the first `count` values emitted by the source Observable.\n *\n * <span class=\"informal\">Takes the first `count` values from the source, then\n * completes.</span>\n *\n * ![](take.png)\n *\n * `take` returns an Observable that emits only the first `count` values emitted\n * by the source Observable. If the source emits fewer than `count` values then\n * all of its values are emitted. After that, it completes, regardless if the\n * source completes.\n *\n * ## Example\n *\n * Take the first 5 seconds of an infinite 1-second interval Observable\n *\n * ```ts\n * import { interval, take } from 'rxjs';\n *\n * const intervalCount = interval(1000);\n * const takeFive = intervalCount.pipe(take(5));\n * takeFive.subscribe(x => console.log(x));\n *\n * // Logs:\n * // 0\n * // 1\n * // 2\n * // 3\n * // 4\n * ```\n *\n * @see {@link takeLast}\n * @see {@link takeUntil}\n * @see {@link takeWhile}\n * @see {@link skip}\n *\n * @param count The maximum number of `next` values to emit.\n * @return A function that returns an Observable that emits only the first\n * `count` values emitted by the source Observable, or all of the values from\n * the source if the source emits fewer than `count` values.\n */\nexport function take<T>(count: number): MonoTypeOperatorFunction<T> {\n  return count <= 0\n    ? // If we are taking no values, that's empty.\n      () => EMPTY\n    : operate((source, subscriber) => {\n        let seen = 0;\n        source.subscribe(\n          createOperatorSubscriber(subscriber, (value) => {\n            // Increment the number of values we have seen,\n            // then check it against the allowed count to see\n            // if we are still letting values through.\n            if (++seen <= count) {\n              subscriber.next(value);\n              // If we have met or passed our allowed count,\n              // we need to complete. We have to do <= here,\n              // because re-entrant code will increment `seen` twice.\n              if (count <= seen) {\n                subscriber.complete();\n              }\n            }\n          })\n        );\n      });\n}\n", "import { OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { noop } from '../util/noop';\n\n/**\n * Ignores all items emitted by the source Observable and only passes calls of `complete` or `error`.\n *\n * ![](ignoreElements.png)\n *\n * The `ignoreElements` operator suppresses all items emitted by the source Observable,\n * but allows its termination notification (either `error` or `complete`) to pass through unchanged.\n *\n * If you do not care about the items being emitted by an Observable, but you do want to be notified\n * when it completes or when it terminates with an error, you can apply the `ignoreElements` operator\n * to the Observable, which will ensure that it will never call its observers\u2019 `next` handlers.\n *\n * ## Example\n *\n * Ignore all `next` emissions from the source\n *\n * ```ts\n * import { of, ignoreElements } from 'rxjs';\n *\n * of('you', 'talking', 'to', 'me')\n *   .pipe(ignoreElements())\n *   .subscribe({\n *     next: word => console.log(word),\n *     error: err => console.log('error:', err),\n *     complete: () => console.log('the end'),\n *   });\n *\n * // result:\n * // 'the end'\n * ```\n *\n * @return A function that returns an empty Observable that only calls\n * `complete` or `error`, based on which one is called by the source\n * Observable.\n */\nexport function ignoreElements(): OperatorFunction<unknown, never> {\n  return operate((source, subscriber) => {\n    source.subscribe(createOperatorSubscriber(subscriber, noop));\n  });\n}\n", "import { OperatorFunction } from '../types';\nimport { map } from './map';\n\n/** @deprecated To be removed in v9. Use {@link map} instead: `map(() => value)`. */\nexport function mapTo<R>(value: R): OperatorFunction<unknown, R>;\n/**\n * @deprecated Do not specify explicit type parameters. Signatures with type parameters\n * that cannot be inferred will be removed in v8. `mapTo` itself will be removed in v9,\n * use {@link map} instead: `map(() => value)`.\n * */\nexport function mapTo<T, R>(value: R): OperatorFunction<T, R>;\n\n/**\n * Emits the given constant value on the output Observable every time the source\n * Observable emits a value.\n *\n * <span class=\"informal\">Like {@link map}, but it maps every source value to\n * the same output value every time.</span>\n *\n * ![](mapTo.png)\n *\n * Takes a constant `value` as argument, and emits that whenever the source\n * Observable emits a value. In other words, ignores the actual source value,\n * and simply uses the emission moment to know when to emit the given `value`.\n *\n * ## Example\n *\n * Map every click to the string `'Hi'`\n *\n * ```ts\n * import { fromEvent, mapTo } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const greetings = clicks.pipe(mapTo('Hi'));\n *\n * greetings.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link map}\n *\n * @param value The value to map each source value to.\n * @return A function that returns an Observable that emits the given `value`\n * every time the source Observable emits.\n * @deprecated To be removed in v9. Use {@link map} instead: `map(() => value)`.\n */\nexport function mapTo<R>(value: R): OperatorFunction<unknown, R> {\n  return map(() => value);\n}\n", "import { Observable } from '../Observable';\nimport { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { concat } from '../observable/concat';\nimport { take } from './take';\nimport { ignoreElements } from './ignoreElements';\nimport { mapTo } from './mapTo';\nimport { mergeMap } from './mergeMap';\nimport { innerFrom } from '../observable/innerFrom';\n\n/** @deprecated The `subscriptionDelay` parameter will be removed in v8. */\nexport function delayWhen<T>(\n  delayDurationSelector: (value: T, index: number) => ObservableInput<any>,\n  subscriptionDelay: Observable<any>\n): MonoTypeOperatorFunction<T>;\nexport function delayWhen<T>(delayDurationSelector: (value: T, index: number) => ObservableInput<any>): MonoTypeOperatorFunction<T>;\n\n/**\n * Delays the emission of items from the source Observable by a given time span\n * determined by the emissions of another Observable.\n *\n * <span class=\"informal\">It's like {@link delay}, but the time span of the\n * delay duration is determined by a second Observable.</span>\n *\n * ![](delayWhen.png)\n *\n * `delayWhen` operator shifts each emitted value from the source Observable by\n * a time span determined by another Observable. When the source emits a value,\n * the `delayDurationSelector` function is called with the value emitted from\n * the source Observable as the first argument to the `delayDurationSelector`.\n * The `delayDurationSelector` function should return an {@link ObservableInput},\n * that is internally converted to an Observable that is called the \"duration\"\n * Observable.\n *\n * The source value is emitted on the output Observable only when the \"duration\"\n * Observable emits ({@link guide/glossary-and-semantics#next next}s) any value.\n * Upon that, the \"duration\" Observable gets unsubscribed.\n *\n * Before RxJS V7, the {@link guide/glossary-and-semantics#complete completion}\n * of the \"duration\" Observable would have been triggering the emission of the\n * source value to the output Observable, but with RxJS V7, this is not the case\n * anymore.\n *\n * Only next notifications (from the \"duration\" Observable) trigger values from\n * the source Observable to be passed to the output Observable. If the \"duration\"\n * Observable only emits the complete notification (without next), the value\n * emitted by the source Observable will never get to the output Observable - it\n * will be swallowed. If the \"duration\" Observable errors, the error will be\n * propagated to the output Observable.\n *\n * Optionally, `delayWhen` takes a second argument, `subscriptionDelay`, which\n * is an Observable. When `subscriptionDelay` emits its first value or\n * completes, the source Observable is subscribed to and starts behaving like\n * described in the previous paragraph. If `subscriptionDelay` is not provided,\n * `delayWhen` will subscribe to the source Observable as soon as the output\n * Observable is subscribed.\n *\n * ## Example\n *\n * Delay each click by a random amount of time, between 0 and 5 seconds\n *\n * ```ts\n * import { fromEvent, delayWhen, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const delayedClicks = clicks.pipe(\n *   delayWhen(() => interval(Math.random() * 5000))\n * );\n * delayedClicks.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link delay}\n * @see {@link throttle}\n * @see {@link throttleTime}\n * @see {@link debounce}\n * @see {@link debounceTime}\n * @see {@link sample}\n * @see {@link sampleTime}\n * @see {@link audit}\n * @see {@link auditTime}\n *\n * @param delayDurationSelector A function that returns an `ObservableInput` for\n * each `value` emitted by the source Observable, which is then used to delay the\n * emission of that `value` on the output Observable until the `ObservableInput`\n * returned from this function emits a next value. When called, beside `value`,\n * this function receives a zero-based `index` of the emission order.\n * @param subscriptionDelay An Observable that triggers the subscription to the\n * source Observable once it emits any value.\n * @return A function that returns an Observable that delays the emissions of\n * the source Observable by an amount of time specified by the Observable\n * returned by `delayDurationSelector`.\n */\nexport function delayWhen<T>(\n  delayDurationSelector: (value: T, index: number) => ObservableInput<any>,\n  subscriptionDelay?: Observable<any>\n): MonoTypeOperatorFunction<T> {\n  if (subscriptionDelay) {\n    // DEPRECATED PATH\n    return (source: Observable<T>) =>\n      concat(subscriptionDelay.pipe(take(1), ignoreElements()), source.pipe(delayWhen(delayDurationSelector)));\n  }\n\n  return mergeMap((value, index) => innerFrom(delayDurationSelector(value, index)).pipe(take(1), mapTo(value)));\n}\n", "import { asyncScheduler } from '../scheduler/async';\nimport { MonoTypeOperatorFunction, SchedulerLike } from '../types';\nimport { delayWhen } from './delayWhen';\nimport { timer } from '../observable/timer';\n\n/**\n * Delays the emission of items from the source Observable by a given timeout or\n * until a given Date.\n *\n * <span class=\"informal\">Time shifts each item by some specified amount of\n * milliseconds.</span>\n *\n * ![](delay.svg)\n *\n * If the delay argument is a Number, this operator time shifts the source\n * Observable by that amount of time expressed in milliseconds. The relative\n * time intervals between the values are preserved.\n *\n * If the delay argument is a Date, this operator time shifts the start of the\n * Observable execution until the given date occurs.\n *\n * ## Examples\n *\n * Delay each click by one second\n *\n * ```ts\n * import { fromEvent, delay } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const delayedClicks = clicks.pipe(delay(1000)); // each click emitted after 1 second\n * delayedClicks.subscribe(x => console.log(x));\n * ```\n *\n * Delay all clicks until a future date happens\n *\n * ```ts\n * import { fromEvent, delay } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const date = new Date('March 15, 2050 12:00:00'); // in the future\n * const delayedClicks = clicks.pipe(delay(date)); // click emitted only after that date\n * delayedClicks.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link delayWhen}\n * @see {@link throttle}\n * @see {@link throttleTime}\n * @see {@link debounce}\n * @see {@link debounceTime}\n * @see {@link sample}\n * @see {@link sampleTime}\n * @see {@link audit}\n * @see {@link auditTime}\n *\n * @param due The delay duration in milliseconds (a `number`) or a `Date` until\n * which the emission of the source items is delayed.\n * @param scheduler The {@link SchedulerLike} to use for managing the timers\n * that handle the time-shift for each item.\n * @return A function that returns an Observable that delays the emissions of\n * the source Observable by the specified timeout or Date.\n */\nexport function delay<T>(due: number | Date, scheduler: SchedulerLike = asyncScheduler): MonoTypeOperatorFunction<T> {\n  const duration = timer(due, scheduler);\n  return delayWhen(() => duration);\n}\n", "import { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { noop } from '../util/noop';\nimport { innerFrom } from '../observable/innerFrom';\n\n/**\n * Returns an Observable that emits all items emitted by the source Observable that are distinct by comparison from previous items.\n *\n * If a `keySelector` function is provided, then it will project each value from the source observable into a new value that it will\n * check for equality with previously projected values. If the `keySelector` function is not provided, it will use each value from the\n * source observable directly with an equality check against previous values.\n *\n * In JavaScript runtimes that support `Set`, this operator will use a `Set` to improve performance of the distinct value checking.\n *\n * In other runtimes, this operator will use a minimal implementation of `Set` that relies on an `Array` and `indexOf` under the\n * hood, so performance will degrade as more values are checked for distinction. Even in newer browsers, a long-running `distinct`\n * use might result in memory leaks. To help alleviate this in some scenarios, an optional `flushes` parameter is also provided so\n * that the internal `Set` can be \"flushed\", basically clearing it of values.\n *\n * ## Examples\n *\n * A simple example with numbers\n *\n * ```ts\n * import { of, distinct } from 'rxjs';\n *\n * of(1, 1, 2, 2, 2, 1, 2, 3, 4, 3, 2, 1)\n *   .pipe(distinct())\n *   .subscribe(x => console.log(x));\n *\n * // Outputs\n * // 1\n * // 2\n * // 3\n * // 4\n * ```\n *\n * An example using the `keySelector` function\n *\n * ```ts\n * import { of, distinct } from 'rxjs';\n *\n * of(\n *   { age: 4, name: 'Foo'},\n *   { age: 7, name: 'Bar'},\n *   { age: 5, name: 'Foo'}\n * )\n * .pipe(distinct(({ name }) => name))\n * .subscribe(x => console.log(x));\n *\n * // Outputs\n * // { age: 4, name: 'Foo' }\n * // { age: 7, name: 'Bar' }\n * ```\n * @see {@link distinctUntilChanged}\n * @see {@link distinctUntilKeyChanged}\n *\n * @param keySelector Optional `function` to select which value you want to check as distinct.\n * @param flushes Optional `ObservableInput` for flushing the internal HashSet of the operator.\n * @return A function that returns an Observable that emits items from the\n * source Observable with distinct values.\n */\nexport function distinct<T, K>(keySelector?: (value: T) => K, flushes?: ObservableInput<any>): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    const distinctKeys = new Set();\n    source.subscribe(\n      createOperatorSubscriber(subscriber, (value) => {\n        const key = keySelector ? keySelector(value) : value;\n        if (!distinctKeys.has(key)) {\n          distinctKeys.add(key);\n          subscriber.next(value);\n        }\n      })\n    );\n\n    flushes && innerFrom(flushes).subscribe(createOperatorSubscriber(subscriber, () => distinctKeys.clear(), noop));\n  });\n}\n", "import { MonoTypeOperatorFunction } from '../types';\nimport { identity } from '../util/identity';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\nexport function distinctUntilChanged<T>(comparator?: (previous: T, current: T) => boolean): MonoTypeOperatorFunction<T>;\nexport function distinctUntilChanged<T, K>(\n  comparator: (previous: K, current: K) => boolean,\n  keySelector: (value: T) => K\n): MonoTypeOperatorFunction<T>;\n\n/**\n * Returns a result {@link Observable} that emits all values pushed by the source observable if they\n * are distinct in comparison to the last value the result observable emitted.\n *\n * When provided without parameters or with the first parameter (`{@link distinctUntilChanged#comparator comparator}`),\n * it behaves like this:\n *\n * 1. It will always emit the first value from the source.\n * 2. For all subsequent values pushed by the source, they will be compared to the previously emitted values\n *    using the provided `comparator` or an `===` equality check.\n * 3. If the value pushed by the source is determined to be unequal by this check, that value is emitted and\n *    becomes the new \"previously emitted value\" internally.\n *\n * When the second parameter (`{@link distinctUntilChanged#keySelector keySelector}`) is provided, the behavior\n * changes:\n *\n * 1. It will always emit the first value from the source.\n * 2. The `keySelector` will be run against all values, including the first value.\n * 3. For all values after the first, the selected key will be compared against the key selected from\n *    the previously emitted value using the `comparator`.\n * 4. If the keys are determined to be unequal by this check, the value (not the key), is emitted\n *    and the selected key from that value is saved for future comparisons against other keys.\n *\n * ## Examples\n *\n * A very basic example with no `{@link distinctUntilChanged#comparator comparator}`. Note that `1` is emitted more than once,\n * because it's distinct in comparison to the _previously emitted_ value,\n * not in comparison to _all other emitted values_.\n *\n * ```ts\n * import { of, distinctUntilChanged } from 'rxjs';\n *\n * of(1, 1, 1, 2, 2, 2, 1, 1, 3, 3)\n *   .pipe(distinctUntilChanged())\n *   .subscribe(console.log);\n * // Logs: 1, 2, 1, 3\n * ```\n *\n * With a `{@link distinctUntilChanged#comparator comparator}`, you can do custom comparisons. Let's say\n * you only want to emit a value when all of its components have\n * changed:\n *\n * ```ts\n * import { of, distinctUntilChanged } from 'rxjs';\n *\n * const totallyDifferentBuilds$ = of(\n *   { engineVersion: '1.1.0', transmissionVersion: '1.2.0' },\n *   { engineVersion: '1.1.0', transmissionVersion: '1.4.0' },\n *   { engineVersion: '1.3.0', transmissionVersion: '1.4.0' },\n *   { engineVersion: '1.3.0', transmissionVersion: '1.5.0' },\n *   { engineVersion: '2.0.0', transmissionVersion: '1.5.0' }\n * ).pipe(\n *   distinctUntilChanged((prev, curr) => {\n *     return (\n *       prev.engineVersion === curr.engineVersion ||\n *       prev.transmissionVersion === curr.transmissionVersion\n *     );\n *   })\n * );\n *\n * totallyDifferentBuilds$.subscribe(console.log);\n *\n * // Logs:\n * // { engineVersion: '1.1.0', transmissionVersion: '1.2.0' }\n * // { engineVersion: '1.3.0', transmissionVersion: '1.4.0' }\n * // { engineVersion: '2.0.0', transmissionVersion: '1.5.0' }\n * ```\n *\n * You can also provide a custom `{@link distinctUntilChanged#comparator comparator}` to check that emitted\n * changes are only in one direction. Let's say you only want to get\n * the next record temperature:\n *\n * ```ts\n * import { of, distinctUntilChanged } from 'rxjs';\n *\n * const temps$ = of(30, 31, 20, 34, 33, 29, 35, 20);\n *\n * const recordHighs$ = temps$.pipe(\n *   distinctUntilChanged((prevHigh, temp) => {\n *     // If the current temp is less than\n *     // or the same as the previous record,\n *     // the record hasn't changed.\n *     return temp <= prevHigh;\n *   })\n * );\n *\n * recordHighs$.subscribe(console.log);\n * // Logs: 30, 31, 34, 35\n * ```\n *\n * Selecting update events only when the `updatedBy` field shows\n * the account changed hands.\n *\n * ```ts\n * import { of, distinctUntilChanged } from 'rxjs';\n *\n * // A stream of updates to a given account\n * const accountUpdates$ = of(\n *   { updatedBy: 'blesh', data: [] },\n *   { updatedBy: 'blesh', data: [] },\n *   { updatedBy: 'ncjamieson', data: [] },\n *   { updatedBy: 'ncjamieson', data: [] },\n *   { updatedBy: 'blesh', data: [] }\n * );\n *\n * // We only want the events where it changed hands\n * const changedHands$ = accountUpdates$.pipe(\n *   distinctUntilChanged(undefined, update => update.updatedBy)\n * );\n *\n * changedHands$.subscribe(console.log);\n * // Logs:\n * // { updatedBy: 'blesh', data: Array[0] }\n * // { updatedBy: 'ncjamieson', data: Array[0] }\n * // { updatedBy: 'blesh', data: Array[0] }\n * ```\n *\n * @see {@link distinct}\n * @see {@link distinctUntilKeyChanged}\n *\n * @param comparator A function used to compare the previous and current keys for\n * equality. Defaults to a `===` check.\n * @param keySelector Used to select a key value to be passed to the `comparator`.\n *\n * @return A function that returns an Observable that emits items from the\n * source Observable with distinct values.\n */\nexport function distinctUntilChanged<T, K>(\n  comparator?: (previous: K, current: K) => boolean,\n  keySelector: (value: T) => K = identity as (value: T) => K\n): MonoTypeOperatorFunction<T> {\n  // We've been allowing `null` do be passed as the `compare`, so we can't do\n  // a default value for the parameter, because that will only work\n  // for `undefined`.\n  comparator = comparator ?? defaultCompare;\n\n  return operate((source, subscriber) => {\n    // The previous key, used to compare against keys selected\n    // from new arrivals to determine \"distinctiveness\".\n    let previousKey: K;\n    // Whether or not this is the first value we've gotten.\n    let first = true;\n\n    source.subscribe(\n      createOperatorSubscriber(subscriber, (value) => {\n        // We always call the key selector.\n        const currentKey = keySelector(value);\n\n        // If it's the first value, we always emit it.\n        // Otherwise, we compare this key to the previous key, and\n        // if the comparer returns false, we emit.\n        if (first || !comparator!(previousKey, currentKey)) {\n          // Update our state *before* we emit the value\n          // as emission can be the source of re-entrant code\n          // in functional libraries like this. We only really\n          // need to do this if it's the first value, or if the\n          // key we're tracking in previous needs to change.\n          first = false;\n          previousKey = currentKey;\n\n          // Emit the value!\n          subscriber.next(value);\n        }\n      })\n    );\n  });\n}\n\nfunction defaultCompare(a: any, b: any) {\n  return a === b;\n}\n", "import { distinctUntilChanged } from './distinctUntilChanged';\nimport { MonoTypeOperatorFunction } from '../types';\n\nexport function distinctUntilKeyChanged<T>(key: keyof T): MonoTypeOperatorFunction<T>;\nexport function distinctUntilKeyChanged<T, K extends keyof T>(key: K, compare: (x: T[K], y: T[K]) => boolean): MonoTypeOperatorFunction<T>;\n\n/**\n * Returns an Observable that emits all items emitted by the source Observable that\n * are distinct by comparison from the previous item, using a property accessed by\n * using the key provided to check if the two items are distinct.\n *\n * If a comparator function is provided, then it will be called for each item to\n * test for whether that value should be emitted or not.\n *\n * If a comparator function is not provided, an equality check is used by default.\n *\n * ## Examples\n *\n * An example comparing the name of persons\n *\n * ```ts\n * import { of, distinctUntilKeyChanged } from 'rxjs';\n *\n * of(\n *   { age: 4, name: 'Foo' },\n *   { age: 7, name: 'Bar' },\n *   { age: 5, name: 'Foo' },\n *   { age: 6, name: 'Foo' }\n * ).pipe(\n *   distinctUntilKeyChanged('name')\n * )\n * .subscribe(x => console.log(x));\n *\n * // displays:\n * // { age: 4, name: 'Foo' }\n * // { age: 7, name: 'Bar' }\n * // { age: 5, name: 'Foo' }\n * ```\n *\n * An example comparing the first letters of the name\n *\n * ```ts\n * import { of, distinctUntilKeyChanged } from 'rxjs';\n *\n * of(\n *   { age: 4, name: 'Foo1' },\n *   { age: 7, name: 'Bar' },\n *   { age: 5, name: 'Foo2' },\n *   { age: 6, name: 'Foo3' }\n * ).pipe(\n *   distinctUntilKeyChanged('name', (x, y) => x.substring(0, 3) === y.substring(0, 3))\n * )\n * .subscribe(x => console.log(x));\n *\n * // displays:\n * // { age: 4, name: 'Foo1' }\n * // { age: 7, name: 'Bar' }\n * // { age: 5, name: 'Foo2' }\n * ```\n *\n * @see {@link distinct}\n * @see {@link distinctUntilChanged}\n *\n * @param key String key for object property lookup on each item.\n * @param compare Optional comparison function called to test if an item is distinct\n * from the previous item in the source.\n * @return A function that returns an Observable that emits items from the source\n * Observable with distinct values based on the key specified.\n */\nexport function distinctUntilKeyChanged<T, K extends keyof T>(\n  key: K,\n  compare?: (x: T[K], y: T[K]) => boolean\n): MonoTypeOperatorFunction<T> {\n  return distinctUntilChanged((x: T, y: T) => (compare ? compare(x[key], y[key]) : x[key] === y[key]));\n}\n", "import { EmptyError } from '../util/EmptyError';\nimport { MonoTypeOperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * If the source observable completes without emitting a value, it will emit\n * an error. The error will be created at that time by the optional\n * `errorFactory` argument, otherwise, the error will be {@link EmptyError}.\n *\n * ![](throwIfEmpty.png)\n *\n * ## Example\n *\n * Throw an error if the document wasn't clicked within 1 second\n *\n * ```ts\n * import { fromEvent, takeUntil, timer, throwIfEmpty } from 'rxjs';\n *\n * const click$ = fromEvent(document, 'click');\n *\n * click$.pipe(\n *   takeUntil(timer(1000)),\n *   throwIfEmpty(() => new Error('The document was not clicked within 1 second'))\n * )\n * .subscribe({\n *   next() {\n *    console.log('The document was clicked');\n *   },\n *   error(err) {\n *     console.error(err.message);\n *   }\n * });\n * ```\n *\n * @param errorFactory A factory function called to produce the\n * error to be thrown when the source observable completes without emitting a\n * value.\n * @return A function that returns an Observable that throws an error if the\n * source Observable completed without emitting.\n */\nexport function throwIfEmpty<T>(errorFactory: () => any = defaultErrorFactory): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let hasValue = false;\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          hasValue = true;\n          subscriber.next(value);\n        },\n        () => (hasValue ? subscriber.complete() : subscriber.error(errorFactory()))\n      )\n    );\n  });\n}\n\nfunction defaultErrorFactory() {\n  return new EmptyError();\n}\n", "/** prettier */\nimport { Observable } from '../Observable';\nimport { concat } from '../observable/concat';\nimport { of } from '../observable/of';\nimport { MonoTypeOperatorFunction, SchedulerLike, OperatorFunction, ValueFromArray } from '../types';\n\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `concatAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function endWith<T>(scheduler: SchedulerLike): MonoTypeOperatorFunction<T>;\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `concatAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function endWith<T, A extends unknown[] = T[]>(\n  ...valuesAndScheduler: [...A, SchedulerLike]\n): OperatorFunction<T, T | ValueFromArray<A>>;\n\nexport function endWith<T, A extends unknown[] = T[]>(...values: A): OperatorFunction<T, T | ValueFromArray<A>>;\n\n/**\n * Returns an observable that will emit all values from the source, then synchronously emit\n * the provided value(s) immediately after the source completes.\n *\n * NOTE: Passing a last argument of a Scheduler is _deprecated_, and may result in incorrect\n * types in TypeScript.\n *\n * This is useful for knowing when an observable ends. Particularly when paired with an\n * operator like {@link takeUntil}\n *\n * ![](endWith.png)\n *\n * ## Example\n *\n * Emit values to know when an interval starts and stops. The interval will\n * stop when a user clicks anywhere on the document.\n *\n * ```ts\n * import { interval, map, fromEvent, startWith, takeUntil, endWith } from 'rxjs';\n *\n * const ticker$ = interval(5000).pipe(\n *   map(() => 'tick')\n * );\n *\n * const documentClicks$ = fromEvent(document, 'click');\n *\n * ticker$.pipe(\n *   startWith('interval started'),\n *   takeUntil(documentClicks$),\n *   endWith('interval ended by click')\n * )\n * .subscribe(x => console.log(x));\n *\n * // Result (assuming a user clicks after 15 seconds)\n * // 'interval started'\n * // 'tick'\n * // 'tick'\n * // 'tick'\n * // 'interval ended by click'\n * ```\n *\n * @see {@link startWith}\n * @see {@link concat}\n * @see {@link takeUntil}\n *\n * @param values Items you want the modified Observable to emit last.\n * @return A function that returns an Observable that emits all values from the\n * source, then synchronously emits the provided value(s) immediately after the\n * source completes.\n */\nexport function endWith<T>(...values: Array<T | SchedulerLike>): MonoTypeOperatorFunction<T> {\n  return (source: Observable<T>) => concat(source, of(...values)) as Observable<T>;\n}\n", "import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { ObservableInput, OperatorFunction, ObservedValueOf } from '../types';\nimport { map } from './map';\nimport { innerFrom } from '../observable/innerFrom';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/* tslint:disable:max-line-length */\nexport function exhaustMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function exhaustMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector: undefined\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function exhaustMap<T, I, R>(\n  project: (value: T, index: number) => ObservableInput<I>,\n  resultSelector: (outerValue: T, innerValue: I, outerIndex: number, innerIndex: number) => R\n): OperatorFunction<T, R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Projects each source value to an Observable which is merged in the output\n * Observable only if the previous projected Observable has completed.\n *\n * <span class=\"informal\">Maps each value to an Observable, then flattens all of\n * these inner Observables using {@link exhaustAll}.</span>\n *\n * ![](exhaustMap.png)\n *\n * Returns an Observable that emits items based on applying a function that you\n * supply to each item emitted by the source Observable, where that function\n * returns an (so-called \"inner\") Observable. When it projects a source value to\n * an Observable, the output Observable begins emitting the items emitted by\n * that projected Observable. However, `exhaustMap` ignores every new projected\n * Observable if the previous projected Observable has not yet completed. Once\n * that one completes, it will accept and flatten the next projected Observable\n * and repeat this process.\n *\n * ## Example\n *\n * Run a finite timer for each click, only if there is no currently active timer\n *\n * ```ts\n * import { fromEvent, exhaustMap, interval, take } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(\n *   exhaustMap(() => interval(1000).pipe(take(5)))\n * );\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link concatMap}\n * @see {@link exhaust}\n * @see {@link mergeMap}\n * @see {@link switchMap}\n *\n * @param project A function that, when applied to an item emitted by the source\n * Observable, returns an Observable.\n * @return A function that returns an Observable containing projected\n * Observables of each item of the source, ignoring projected Observables that\n * start before their preceding Observable has completed.\n */\nexport function exhaustMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector?: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R\n): OperatorFunction<T, ObservedValueOf<O> | R> {\n  if (resultSelector) {\n    // DEPRECATED PATH\n    return (source: Observable<T>) =>\n      source.pipe(exhaustMap((a, i) => innerFrom(project(a, i)).pipe(map((b: any, ii: any) => resultSelector(a, b, i, ii)))));\n  }\n  return operate((source, subscriber) => {\n    let index = 0;\n    let innerSub: Subscriber<T> | null = null;\n    let isComplete = false;\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (outerValue) => {\n          if (!innerSub) {\n            innerSub = createOperatorSubscriber(subscriber, undefined, () => {\n              innerSub = null;\n              isComplete && subscriber.complete();\n            });\n            innerFrom(project(outerValue, index++)).subscribe(innerSub);\n          }\n        },\n        () => {\n          isComplete = true;\n          !innerSub && subscriber.complete();\n        }\n      )\n    );\n  });\n}\n", "import { MonoTypeOperatorFunction } from '../types';\nimport { operate } from '../util/lift';\n\n/**\n * Returns an Observable that mirrors the source Observable, but will call a specified function when\n * the source terminates on complete or error.\n * The specified function will also be called when the subscriber explicitly unsubscribes.\n *\n * ## Examples\n *\n * Execute callback function when the observable completes\n *\n * ```ts\n * import { interval, take, finalize } from 'rxjs';\n *\n * // emit value in sequence every 1 second\n * const source = interval(1000);\n * const example = source.pipe(\n *   take(5), //take only the first 5 values\n *   finalize(() => console.log('Sequence complete')) // Execute when the observable completes\n * );\n * const subscribe = example.subscribe(val => console.log(val));\n *\n * // results:\n * // 0\n * // 1\n * // 2\n * // 3\n * // 4\n * // 'Sequence complete'\n * ```\n *\n * Execute callback function when the subscriber explicitly unsubscribes\n *\n * ```ts\n * import { interval, finalize, tap, noop, timer } from 'rxjs';\n *\n * const source = interval(100).pipe(\n *   finalize(() => console.log('[finalize] Called')),\n *   tap({\n *     next: () => console.log('[next] Called'),\n *     error: () => console.log('[error] Not called'),\n *     complete: () => console.log('[tap complete] Not called')\n *   })\n * );\n *\n * const sub = source.subscribe({\n *   next: x => console.log(x),\n *   error: noop,\n *   complete: () => console.log('[complete] Not called')\n * });\n *\n * timer(150).subscribe(() => sub.unsubscribe());\n *\n * // results:\n * // '[next] Called'\n * // 0\n * // '[finalize] Called'\n * ```\n *\n * @param callback Function to be called when source terminates.\n * @return A function that returns an Observable that mirrors the source, but\n * will call the specified function on termination.\n */\nexport function finalize<T>(callback: () => void): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    // TODO: This try/finally was only added for `useDeprecatedSynchronousErrorHandling`.\n    // REMOVE THIS WHEN THAT HOT GARBAGE IS REMOVED IN V8.\n    try {\n      source.subscribe(subscriber);\n    } finally {\n      subscriber.add(callback);\n    }\n  });\n}\n", "import { Observable } from '../Observable';\nimport { EmptyError } from '../util/EmptyError';\nimport { OperatorFunction, TruthyTypesOf } from '../types';\nimport { filter } from './filter';\nimport { take } from './take';\nimport { defaultIfEmpty } from './defaultIfEmpty';\nimport { throwIfEmpty } from './throwIfEmpty';\nimport { identity } from '../util/identity';\n\nexport function first<T, D = T>(predicate?: null, defaultValue?: D): OperatorFunction<T, T | D>;\nexport function first<T>(predicate: BooleanConstructor): OperatorFunction<T, TruthyTypesOf<T>>;\nexport function first<T, D>(predicate: BooleanConstructor, defaultValue: D): OperatorFunction<T, TruthyTypesOf<T> | D>;\nexport function first<T, S extends T>(\n  predicate: (value: T, index: number, source: Observable<T>) => value is S,\n  defaultValue?: S\n): OperatorFunction<T, S>;\nexport function first<T, S extends T, D>(\n  predicate: (value: T, index: number, source: Observable<T>) => value is S,\n  defaultValue: D\n): OperatorFunction<T, S | D>;\nexport function first<T, D = T>(\n  predicate: (value: T, index: number, source: Observable<T>) => boolean,\n  defaultValue?: D\n): OperatorFunction<T, T | D>;\n\n/**\n * Emits only the first value (or the first value that meets some condition)\n * emitted by the source Observable.\n *\n * <span class=\"informal\">Emits only the first value. Or emits only the first\n * value that passes some test.</span>\n *\n * ![](first.png)\n *\n * If called with no arguments, `first` emits the first value of the source\n * Observable, then completes. If called with a `predicate` function, `first`\n * emits the first value of the source that matches the specified condition. Emits an error\n * notification if `defaultValue` was not provided and a matching element is not found.\n *\n * ## Examples\n *\n * Emit only the first click that happens on the DOM\n *\n * ```ts\n * import { fromEvent, first } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(first());\n * result.subscribe(x => console.log(x));\n * ```\n *\n * Emits the first click that happens on a DIV\n *\n * ```ts\n * import { fromEvent, first } from 'rxjs';\n *\n * const div = document.createElement('div');\n * div.style.cssText = 'width: 200px; height: 200px; background: #09c;';\n * document.body.appendChild(div);\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(first(ev => (<HTMLElement>ev.target).tagName === 'DIV'));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link filter}\n * @see {@link find}\n * @see {@link take}\n * @see {@link last}\n *\n * @throws {EmptyError} Delivers an `EmptyError` to the Observer's `error`\n * callback if the Observable completes before any `next` notification was sent.\n * This is how `first()` is different from `take(1)` which completes instead.\n *\n * @param predicate An optional function called with each item to test for condition\n * matching.\n * @param defaultValue The default value emitted in case no valid value was found on\n * the source.\n * @return A function that returns an Observable that emits the first item that\n * matches the condition.\n */\nexport function first<T, D>(\n  predicate?: ((value: T, index: number, source: Observable<T>) => boolean) | null,\n  defaultValue?: D\n): OperatorFunction<T, T | D> {\n  const hasDefaultValue = arguments.length >= 2;\n  return (source: Observable<T>) =>\n    source.pipe(\n      predicate ? filter((v, i) => predicate(v, i, source)) : identity,\n      take(1),\n      hasDefaultValue ? defaultIfEmpty(defaultValue!) : throwIfEmpty(() => new EmptyError())\n    );\n}\n", "import { EMPTY } from '../observable/empty';\nimport { MonoTypeOperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/**\n * Waits for the source to complete, then emits the last N values from the source,\n * as specified by the `count` argument.\n *\n * ![](takeLast.png)\n *\n * `takeLast` results in an observable that will hold values up to `count` values in memory,\n * until the source completes. It then pushes all values in memory to the consumer, in the\n * order they were received from the source, then notifies the consumer that it is\n * complete.\n *\n * If for some reason the source completes before the `count` supplied to `takeLast` is reached,\n * all values received until that point are emitted, and then completion is notified.\n *\n * **Warning**: Using `takeLast` with an observable that never completes will result\n * in an observable that never emits a value.\n *\n * ## Example\n *\n * Take the last 3 values of an Observable with many values\n *\n * ```ts\n * import { range, takeLast } from 'rxjs';\n *\n * const many = range(1, 100);\n * const lastThree = many.pipe(takeLast(3));\n * lastThree.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link take}\n * @see {@link takeUntil}\n * @see {@link takeWhile}\n * @see {@link skip}\n *\n * @param count The maximum number of values to emit from the end of\n * the sequence of values emitted by the source Observable.\n * @return A function that returns an Observable that emits at most the last\n * `count` values emitted by the source Observable.\n */\nexport function takeLast<T>(count: number): MonoTypeOperatorFunction<T> {\n  return count <= 0\n    ? () => EMPTY\n    : operate((source, subscriber) => {\n        // This buffer will hold the values we are going to emit\n        // when the source completes. Since we only want to take the\n        // last N values, we can't emit until we're sure we're not getting\n        // any more values.\n        let buffer: T[] = [];\n        source.subscribe(\n          createOperatorSubscriber(\n            subscriber,\n            (value) => {\n              // Add the most recent value onto the end of our buffer.\n              buffer.push(value);\n              // If our buffer is now larger than the number of values we\n              // want to take, we remove the oldest value from the buffer.\n              count < buffer.length && buffer.shift();\n            },\n            () => {\n              // The source completed, we now know what are last values\n              // are, emit them in the order they were received.\n              for (const value of buffer) {\n                subscriber.next(value);\n              }\n              subscriber.complete();\n            },\n            // Errors are passed through to the consumer\n            undefined,\n            () => {\n              // During finalization release the values in our buffer.\n              buffer = null!;\n            }\n          )\n        );\n      });\n}\n", "import { ObservableInput, ObservableInputTuple, OperatorFunction, SchedulerLike } from '../types';\nimport { operate } from '../util/lift';\nimport { mergeAll } from './mergeAll';\nimport { popNumber, popScheduler } from '../util/args';\nimport { from } from '../observable/from';\n\n/** @deprecated Replaced with {@link mergeWith}. Will be removed in v8. */\nexport function merge<T, A extends readonly unknown[]>(...sources: [...ObservableInputTuple<A>]): OperatorFunction<T, T | A[number]>;\n/** @deprecated Replaced with {@link mergeWith}. Will be removed in v8. */\nexport function merge<T, A extends readonly unknown[]>(\n  ...sourcesAndConcurrency: [...ObservableInputTuple<A>, number]\n): OperatorFunction<T, T | A[number]>;\n/** @deprecated Replaced with {@link mergeWith}. Will be removed in v8. */\nexport function merge<T, A extends readonly unknown[]>(\n  ...sourcesAndScheduler: [...ObservableInputTuple<A>, SchedulerLike]\n): OperatorFunction<T, T | A[number]>;\n/** @deprecated Replaced with {@link mergeWith}. Will be removed in v8. */\nexport function merge<T, A extends readonly unknown[]>(\n  ...sourcesAndConcurrencyAndScheduler: [...ObservableInputTuple<A>, number, SchedulerLike]\n): OperatorFunction<T, T | A[number]>;\n\nexport function merge<T>(...args: unknown[]): OperatorFunction<T, unknown> {\n  const scheduler = popScheduler(args);\n  const concurrent = popNumber(args, Infinity);\n\n  return operate((source, subscriber) => {\n    mergeAll(concurrent)(from([source, ...(args as ObservableInput<T>[])], scheduler)).subscribe(subscriber);\n  });\n}\n", "import { ObservableInputTuple, OperatorFunction } from '../types';\nimport { merge } from './merge';\n\n/**\n * Merge the values from all observables to a single observable result.\n *\n * Creates an observable, that when subscribed to, subscribes to the source\n * observable, and all other sources provided as arguments. All values from\n * every source are emitted from the resulting subscription.\n *\n * When all sources complete, the resulting observable will complete.\n *\n * When any source errors, the resulting observable will error.\n *\n * ## Example\n *\n * Joining all outputs from multiple user input event streams\n *\n * ```ts\n * import { fromEvent, map, mergeWith } from 'rxjs';\n *\n * const clicks$ = fromEvent(document, 'click').pipe(map(() => 'click'));\n * const mousemoves$ = fromEvent(document, 'mousemove').pipe(map(() => 'mousemove'));\n * const dblclicks$ = fromEvent(document, 'dblclick').pipe(map(() => 'dblclick'));\n *\n * mousemoves$\n *   .pipe(mergeWith(clicks$, dblclicks$))\n *   .subscribe(x => console.log(x));\n *\n * // result (assuming user interactions)\n * // 'mousemove'\n * // 'mousemove'\n * // 'mousemove'\n * // 'click'\n * // 'click'\n * // 'dblclick'\n * ```\n *\n * @see {@link merge}\n *\n * @param otherSources the sources to combine the current source with.\n * @return A function that returns an Observable that merges the values from\n * all given Observables.\n */\nexport function mergeWith<T, A extends readonly unknown[]>(\n  ...otherSources: [...ObservableInputTuple<A>]\n): OperatorFunction<T, T | A[number]> {\n  return merge(...otherSources);\n}\n", "import { Subscription } from '../Subscription';\nimport { EMPTY } from '../observable/empty';\nimport { operate } from '../util/lift';\nimport { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\nimport { timer } from '../observable/timer';\n\nexport interface RepeatConfig {\n  /**\n   * The number of times to repeat the source. Defaults to `Infinity`.\n   */\n  count?: number;\n\n  /**\n   * If a `number`, will delay the repeat of the source by that number of milliseconds.\n   * If a function, it will provide the number of times the source has been subscribed to,\n   * and the return value should be a valid observable input that will notify when the source\n   * should be repeated. If the notifier observable is empty, the result will complete.\n   */\n  delay?: number | ((count: number) => ObservableInput<any>);\n}\n\n/**\n * Returns an Observable that will resubscribe to the source stream when the source stream completes.\n *\n * <span class=\"informal\">Repeats all values emitted on the source. It's like {@link retry}, but for non error cases.</span>\n *\n * ![](repeat.png)\n *\n * Repeat will output values from a source until the source completes, then it will resubscribe to the\n * source a specified number of times, with a specified delay. Repeat can be particularly useful in\n * combination with closing operators like {@link take}, {@link takeUntil}, {@link first}, or {@link takeWhile},\n * as it can be used to restart a source again from scratch.\n *\n * Repeat is very similar to {@link retry}, where {@link retry} will resubscribe to the source in the error case, but\n * `repeat` will resubscribe if the source completes.\n *\n * Note that `repeat` will _not_ catch errors. Use {@link retry} for that.\n *\n * - `repeat(0)` returns an empty observable\n * - `repeat()` will repeat forever\n * - `repeat({ delay: 200 })` will repeat forever, with a delay of 200ms between repetitions.\n * - `repeat({ count: 2, delay: 400 })` will repeat twice, with a delay of 400ms between repetitions.\n * - `repeat({ delay: (count) => timer(count * 1000) })` will repeat forever, but will have a delay that grows by one second for each repetition.\n *\n * ## Example\n *\n * Repeat a message stream\n *\n * ```ts\n * import { of, repeat } from 'rxjs';\n *\n * const source = of('Repeat message');\n * const result = source.pipe(repeat(3));\n *\n * result.subscribe(x => console.log(x));\n *\n * // Results\n * // 'Repeat message'\n * // 'Repeat message'\n * // 'Repeat message'\n * ```\n *\n * Repeat 3 values, 2 times\n *\n * ```ts\n * import { interval, take, repeat } from 'rxjs';\n *\n * const source = interval(1000);\n * const result = source.pipe(take(3), repeat(2));\n *\n * result.subscribe(x => console.log(x));\n *\n * // Results every second\n * // 0\n * // 1\n * // 2\n * // 0\n * // 1\n * // 2\n * ```\n *\n * Defining two complex repeats with delays on the same source.\n * Note that the second repeat cannot be called until the first\n * repeat as exhausted it's count.\n *\n * ```ts\n * import { defer, of, repeat } from 'rxjs';\n *\n * const source = defer(() => {\n *    return of(`Hello, it is ${new Date()}`)\n * });\n *\n * source.pipe(\n *    // Repeat 3 times with a delay of 1 second between repetitions\n *    repeat({\n *      count: 3,\n *      delay: 1000,\n *    }),\n *\n *    // *Then* repeat forever, but with an exponential step-back\n *    // maxing out at 1 minute.\n *    repeat({\n *      delay: (count) => timer(Math.min(60000, 2 ^ count * 1000))\n *    })\n * )\n * ```\n *\n * @see {@link repeatWhen}\n * @see {@link retry}\n *\n * @param countOrConfig Either the number of times the source Observable items are repeated\n * (a count of 0 will yield an empty Observable) or a {@link RepeatConfig} object.\n */\nexport function repeat<T>(countOrConfig?: number | RepeatConfig): MonoTypeOperatorFunction<T> {\n  let count = Infinity;\n  let delay: RepeatConfig['delay'];\n\n  if (countOrConfig != null) {\n    if (typeof countOrConfig === 'object') {\n      ({ count = Infinity, delay } = countOrConfig);\n    } else {\n      count = countOrConfig;\n    }\n  }\n\n  return count <= 0\n    ? () => EMPTY\n    : operate((source, subscriber) => {\n        let soFar = 0;\n        let sourceSub: Subscription | null;\n\n        const resubscribe = () => {\n          sourceSub?.unsubscribe();\n          sourceSub = null;\n          if (delay != null) {\n            const notifier = typeof delay === 'number' ? timer(delay) : innerFrom(delay(soFar));\n            const notifierSubscriber = createOperatorSubscriber(subscriber, () => {\n              notifierSubscriber.unsubscribe();\n              subscribeToSource();\n            });\n            notifier.subscribe(notifierSubscriber);\n          } else {\n            subscribeToSource();\n          }\n        };\n\n        const subscribeToSource = () => {\n          let syncUnsub = false;\n          sourceSub = source.subscribe(\n            createOperatorSubscriber(subscriber, undefined, () => {\n              if (++soFar < count) {\n                if (sourceSub) {\n                  resubscribe();\n                } else {\n                  syncUnsub = true;\n                }\n              } else {\n                subscriber.complete();\n              }\n            })\n          );\n\n          if (syncUnsub) {\n            resubscribe();\n          }\n        };\n\n        subscribeToSource();\n      });\n}\n", "import { OperatorFunction } from '../types';\nimport { operate } from '../util/lift';\nimport { scanInternals } from './scanInternals';\n\nexport function scan<V, A = V>(accumulator: (acc: A | V, value: V, index: number) => A): OperatorFunction<V, V | A>;\nexport function scan<V, A>(accumulator: (acc: A, value: V, index: number) => A, seed: A): OperatorFunction<V, A>;\nexport function scan<V, A, S>(accumulator: (acc: A | S, value: V, index: number) => A, seed: S): OperatorFunction<V, A>;\n\n// TODO: link to a \"redux pattern\" section in the guide (location TBD)\n\n/**\n * Useful for encapsulating and managing state. Applies an accumulator (or \"reducer function\")\n * to each value from the source after an initial state is established -- either via\n * a `seed` value (second argument), or from the first value from the source.\n *\n * <span class=\"informal\">It's like {@link reduce}, but emits the current\n * accumulation state after each update</span>\n *\n * ![](scan.png)\n *\n * This operator maintains an internal state and emits it after processing each value as follows:\n *\n * 1. First value arrives\n *   - If a `seed` value was supplied (as the second argument to `scan`), let `state = seed` and `value = firstValue`.\n *   - If NO `seed` value was supplied (no second argument), let `state = firstValue` and go to 3.\n * 2. Let `state = accumulator(state, value)`.\n *   - If an error is thrown by `accumulator`, notify the consumer of an error. The process ends.\n * 3. Emit `state`.\n * 4. Next value arrives, let `value = nextValue`, go to 2.\n *\n * ## Examples\n *\n * An average of previous numbers. This example shows how\n * not providing a `seed` can prime the stream with the\n * first value from the source.\n *\n * ```ts\n * import { of, scan, map } from 'rxjs';\n *\n * const numbers$ = of(1, 2, 3);\n *\n * numbers$\n *   .pipe(\n *     // Get the sum of the numbers coming in.\n *     scan((total, n) => total + n),\n *     // Get the average by dividing the sum by the total number\n *     // received so far (which is 1 more than the zero-based index).\n *     map((sum, index) => sum / (index + 1))\n *   )\n *   .subscribe(console.log);\n * ```\n *\n * The Fibonacci sequence. This example shows how you can use\n * a seed to prime accumulation process. Also... you know... Fibonacci.\n * So important to like, computers and stuff that its whiteboarded\n * in job interviews. Now you can show them the Rx version! (Please don't, haha)\n *\n * ```ts\n * import { interval, scan, map, startWith } from 'rxjs';\n *\n * const firstTwoFibs = [0, 1];\n * // An endless stream of Fibonacci numbers.\n * const fibonacci$ = interval(1000).pipe(\n *   // Scan to get the fibonacci numbers (after 0, 1)\n *   scan(([a, b]) => [b, a + b], firstTwoFibs),\n *   // Get the second number in the tuple, it's the one you calculated\n *   map(([, n]) => n),\n *   // Start with our first two digits :)\n *   startWith(...firstTwoFibs)\n * );\n *\n * fibonacci$.subscribe(console.log);\n * ```\n *\n * @see {@link expand}\n * @see {@link mergeScan}\n * @see {@link reduce}\n * @see {@link switchScan}\n *\n * @param accumulator A \"reducer function\". This will be called for each value after an initial state is\n * acquired.\n * @param seed The initial state. If this is not provided, the first value from the source will\n * be used as the initial state, and emitted without going through the accumulator. All subsequent values\n * will be processed by the accumulator function. If this is provided, all values will go through\n * the accumulator function.\n * @return A function that returns an Observable of the accumulated values.\n */\nexport function scan<V, A, S>(accumulator: (acc: V | A | S, value: V, index: number) => A, seed?: S): OperatorFunction<V, V | A> {\n  // providing a seed of `undefined` *should* be valid and trigger\n  // hasSeed! so don't use `seed !== undefined` checks!\n  // For this reason, we have to check it here at the original call site\n  // otherwise inside Operator/Subscriber we won't know if `undefined`\n  // means they didn't provide anything or if they literally provided `undefined`\n  return operate(scanInternals(accumulator, seed as S, arguments.length >= 2, true));\n}\n", "import { innerFrom } from '../observable/innerFrom';\nimport { Subject } from '../Subject';\nimport { SafeSubscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { MonoTypeOperatorFunction, SubjectLike, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\n\nexport interface ShareConfig<T> {\n  /**\n   * The factory used to create the subject that will connect the source observable to\n   * multicast consumers.\n   */\n  connector?: () => SubjectLike<T>;\n  /**\n   * If `true`, the resulting observable will reset internal state on error from source and return to a \"cold\" state. This\n   * allows the resulting observable to be \"retried\" in the event of an error.\n   * If `false`, when an error comes from the source it will push the error into the connecting subject, and the subject\n   * will remain the connecting subject, meaning the resulting observable will not go \"cold\" again, and subsequent retries\n   * or resubscriptions will resubscribe to that same subject. In all cases, RxJS subjects will emit the same error again, however\n   * {@link ReplaySubject} will also push its buffered values before pushing the error.\n   * It is also possible to pass a notifier factory returning an `ObservableInput` instead which grants more fine-grained\n   * control over how and when the reset should happen. This allows behaviors like conditional or delayed resets.\n   */\n  resetOnError?: boolean | ((error: any) => ObservableInput<any>);\n  /**\n   * If `true`, the resulting observable will reset internal state on completion from source and return to a \"cold\" state. This\n   * allows the resulting observable to be \"repeated\" after it is done.\n   * If `false`, when the source completes, it will push the completion through the connecting subject, and the subject\n   * will remain the connecting subject, meaning the resulting observable will not go \"cold\" again, and subsequent repeats\n   * or resubscriptions will resubscribe to that same subject.\n   * It is also possible to pass a notifier factory returning an `ObservableInput` instead which grants more fine-grained\n   * control over how and when the reset should happen. This allows behaviors like conditional or delayed resets.\n   */\n  resetOnComplete?: boolean | (() => ObservableInput<any>);\n  /**\n   * If `true`, when the number of subscribers to the resulting observable reaches zero due to those subscribers unsubscribing, the\n   * internal state will be reset and the resulting observable will return to a \"cold\" state. This means that the next\n   * time the resulting observable is subscribed to, a new subject will be created and the source will be subscribed to\n   * again.\n   * If `false`, when the number of subscribers to the resulting observable reaches zero due to unsubscription, the subject\n   * will remain connected to the source, and new subscriptions to the result will be connected through that same subject.\n   * It is also possible to pass a notifier factory returning an `ObservableInput` instead which grants more fine-grained\n   * control over how and when the reset should happen. This allows behaviors like conditional or delayed resets.\n   */\n  resetOnRefCountZero?: boolean | (() => ObservableInput<any>);\n}\n\nexport function share<T>(): MonoTypeOperatorFunction<T>;\n\nexport function share<T>(options: ShareConfig<T>): MonoTypeOperatorFunction<T>;\n\n/**\n * Returns a new Observable that multicasts (shares) the original Observable. As long as there is at least one\n * Subscriber this Observable will be subscribed and emitting data. When all subscribers have unsubscribed it will\n * unsubscribe from the source Observable. Because the Observable is multicasting it makes the stream `hot`.\n * This is an alias for `multicast(() => new Subject()), refCount()`.\n *\n * The subscription to the underlying source Observable can be reset (unsubscribe and resubscribe for new subscribers),\n * if the subscriber count to the shared observable drops to 0, or if the source Observable errors or completes. It is\n * possible to use notifier factories for the resets to allow for behaviors like conditional or delayed resets. Please\n * note that resetting on error or complete of the source Observable does not behave like a transparent retry or restart\n * of the source because the error or complete will be forwarded to all subscribers and their subscription will be\n * closed. Only new subscribers after a reset on error or complete happened will cause a fresh subscription to the\n * source. To achieve transparent retries or restarts pipe the source through appropriate operators before sharing.\n *\n * ![](share.png)\n *\n * ## Example\n *\n * Generate new multicast Observable from the `source` Observable value\n *\n * ```ts\n * import { interval, tap, map, take, share } from 'rxjs';\n *\n * const source = interval(1000).pipe(\n *   tap(x => console.log('Processing: ', x)),\n *   map(x => x * x),\n *   take(6),\n *   share()\n * );\n *\n * source.subscribe(x => console.log('subscription 1: ', x));\n * source.subscribe(x => console.log('subscription 2: ', x));\n *\n * // Logs:\n * // Processing: 0\n * // subscription 1: 0\n * // subscription 2: 0\n * // Processing: 1\n * // subscription 1: 1\n * // subscription 2: 1\n * // Processing: 2\n * // subscription 1: 4\n * // subscription 2: 4\n * // Processing: 3\n * // subscription 1: 9\n * // subscription 2: 9\n * // Processing: 4\n * // subscription 1: 16\n * // subscription 2: 16\n * // Processing: 5\n * // subscription 1: 25\n * // subscription 2: 25\n * ```\n *\n * ## Example with notifier factory: Delayed reset\n *\n * ```ts\n * import { interval, take, share, timer } from 'rxjs';\n *\n * const source = interval(1000).pipe(\n *   take(3),\n *   share({\n *     resetOnRefCountZero: () => timer(1000)\n *   })\n * );\n *\n * const subscriptionOne = source.subscribe(x => console.log('subscription 1: ', x));\n * setTimeout(() => subscriptionOne.unsubscribe(), 1300);\n *\n * setTimeout(() => source.subscribe(x => console.log('subscription 2: ', x)), 1700);\n *\n * setTimeout(() => source.subscribe(x => console.log('subscription 3: ', x)), 5000);\n *\n * // Logs:\n * // subscription 1:  0\n * // (subscription 1 unsubscribes here)\n * // (subscription 2 subscribes here ~400ms later, source was not reset)\n * // subscription 2:  1\n * // subscription 2:  2\n * // (subscription 2 unsubscribes here)\n * // (subscription 3 subscribes here ~2000ms later, source did reset before)\n * // subscription 3:  0\n * // subscription 3:  1\n * // subscription 3:  2\n * ```\n *\n * @see {@link shareReplay}\n *\n * @return A function that returns an Observable that mirrors the source.\n */\nexport function share<T>(options: ShareConfig<T> = {}): MonoTypeOperatorFunction<T> {\n  const { connector = () => new Subject<T>(), resetOnError = true, resetOnComplete = true, resetOnRefCountZero = true } = options;\n  // It's necessary to use a wrapper here, as the _operator_ must be\n  // referentially transparent. Otherwise, it cannot be used in calls to the\n  // static `pipe` function - to create a partial pipeline.\n  //\n  // The _operator function_ - the function returned by the _operator_ - will\n  // not be referentially transparent - as it shares its source - but the\n  // _operator function_ is called when the complete pipeline is composed via a\n  // call to a source observable's `pipe` method - not when the static `pipe`\n  // function is called.\n  return (wrapperSource) => {\n    let connection: SafeSubscriber<T> | undefined;\n    let resetConnection: Subscription | undefined;\n    let subject: SubjectLike<T> | undefined;\n    let refCount = 0;\n    let hasCompleted = false;\n    let hasErrored = false;\n\n    const cancelReset = () => {\n      resetConnection?.unsubscribe();\n      resetConnection = undefined;\n    };\n    // Used to reset the internal state to a \"cold\"\n    // state, as though it had never been subscribed to.\n    const reset = () => {\n      cancelReset();\n      connection = subject = undefined;\n      hasCompleted = hasErrored = false;\n    };\n    const resetAndUnsubscribe = () => {\n      // We need to capture the connection before\n      // we reset (if we need to reset).\n      const conn = connection;\n      reset();\n      conn?.unsubscribe();\n    };\n\n    return operate<T, T>((source, subscriber) => {\n      refCount++;\n      if (!hasErrored && !hasCompleted) {\n        cancelReset();\n      }\n\n      // Create the subject if we don't have one yet. Grab a local reference to\n      // it as well, which avoids non-null assertions when using it and, if we\n      // connect to it now, then error/complete need a reference after it was\n      // reset.\n      const dest = (subject = subject ?? connector());\n\n      // Add the finalization directly to the subscriber - instead of returning it -\n      // so that the handling of the subscriber's unsubscription will be wired\n      // up _before_ the subscription to the source occurs. This is done so that\n      // the assignment to the source connection's `closed` property will be seen\n      // by synchronous firehose sources.\n      subscriber.add(() => {\n        refCount--;\n\n        // If we're resetting on refCount === 0, and it's 0, we only want to do\n        // that on \"unsubscribe\", really. Resetting on error or completion is a different\n        // configuration.\n        if (refCount === 0 && !hasErrored && !hasCompleted) {\n          resetConnection = handleReset(resetAndUnsubscribe, resetOnRefCountZero);\n        }\n      });\n\n      // The following line adds the subscription to the subscriber passed.\n      // Basically, `subscriber === dest.subscribe(subscriber)` is `true`.\n      dest.subscribe(subscriber);\n\n      if (\n        !connection &&\n        // Check this shareReplay is still activate - it can be reset to 0\n        // and be \"unsubscribed\" _before_ it actually subscribes.\n        // If we were to subscribe then, it'd leak and get stuck.\n        refCount > 0\n      ) {\n        // We need to create a subscriber here - rather than pass an observer and\n        // assign the returned subscription to connection - because it's possible\n        // for reentrant subscriptions to the shared observable to occur and in\n        // those situations we want connection to be already-assigned so that we\n        // don't create another connection to the source.\n        connection = new SafeSubscriber({\n          next: (value) => dest.next(value),\n          error: (err) => {\n            hasErrored = true;\n            cancelReset();\n            resetConnection = handleReset(reset, resetOnError, err);\n            dest.error(err);\n          },\n          complete: () => {\n            hasCompleted = true;\n            cancelReset();\n            resetConnection = handleReset(reset, resetOnComplete);\n            dest.complete();\n          },\n        });\n        innerFrom(source).subscribe(connection);\n      }\n    })(wrapperSource);\n  };\n}\n\nfunction handleReset<T extends unknown[] = never[]>(\n  reset: () => void,\n  on: boolean | ((...args: T) => ObservableInput<any>),\n  ...args: T\n): Subscription | undefined {\n  if (on === true) {\n    reset();\n    return;\n  }\n\n  if (on === false) {\n    return;\n  }\n\n  const onSubscriber = new SafeSubscriber({\n    next: () => {\n      onSubscriber.unsubscribe();\n      reset();\n    },\n  });\n\n  return innerFrom(on(...args)).subscribe(onSubscriber);\n}\n", "import { ReplaySubject } from '../ReplaySubject';\nimport { MonoTypeOperatorFunction, SchedulerLike } from '../types';\nimport { share } from './share';\n\nexport interface ShareReplayConfig {\n  bufferSize?: number;\n  windowTime?: number;\n  refCount: boolean;\n  scheduler?: SchedulerLike;\n}\n\nexport function shareReplay<T>(config: ShareReplayConfig): MonoTypeOperatorFunction<T>;\nexport function shareReplay<T>(bufferSize?: number, windowTime?: number, scheduler?: SchedulerLike): MonoTypeOperatorFunction<T>;\n\n/**\n * Share source and replay specified number of emissions on subscription.\n *\n * This operator is a specialization of `replay` that connects to a source observable\n * and multicasts through a `ReplaySubject` constructed with the specified arguments.\n * A successfully completed source will stay cached in the `shareReplay`ed observable forever,\n * but an errored source can be retried.\n *\n * ## Why use `shareReplay`?\n *\n * You generally want to use `shareReplay` when you have side-effects or taxing computations\n * that you do not wish to be executed amongst multiple subscribers.\n * It may also be valuable in situations where you know you will have late subscribers to\n * a stream that need access to previously emitted values.\n * This ability to replay values on subscription is what differentiates {@link share} and `shareReplay`.\n *\n * ## Reference counting\n *\n * By default `shareReplay` will use `refCount` of false, meaning that it will _not_ unsubscribe the\n * source when the reference counter drops to zero, i.e. the inner `ReplaySubject` will _not_ be unsubscribed\n * (and potentially run for ever).\n * This is the default as it is expected that `shareReplay` is often used to keep around expensive to setup\n * observables which we want to keep running instead of having to do the expensive setup again.\n *\n * As of RXJS version 6.4.0 a new overload signature was added to allow for manual control over what\n * happens when the operators internal reference counter drops to zero.\n * If `refCount` is true, the source will be unsubscribed from once the reference count drops to zero, i.e.\n * the inner `ReplaySubject` will be unsubscribed. All new subscribers will receive value emissions from a\n * new `ReplaySubject` which in turn will cause a new subscription to the source observable.\n *\n * ## Examples\n *\n * Example with a third subscriber coming late to the party\n *\n * ```ts\n * import { interval, take, shareReplay } from 'rxjs';\n *\n * const shared$ = interval(2000).pipe(\n *   take(6),\n *   shareReplay(3)\n * );\n *\n * shared$.subscribe(x => console.log('sub A: ', x));\n * shared$.subscribe(y => console.log('sub B: ', y));\n *\n * setTimeout(() => {\n *   shared$.subscribe(y => console.log('sub C: ', y));\n * }, 11000);\n *\n * // Logs:\n * // (after ~2000 ms)\n * // sub A: 0\n * // sub B: 0\n * // (after ~4000 ms)\n * // sub A: 1\n * // sub B: 1\n * // (after ~6000 ms)\n * // sub A: 2\n * // sub B: 2\n * // (after ~8000 ms)\n * // sub A: 3\n * // sub B: 3\n * // (after ~10000 ms)\n * // sub A: 4\n * // sub B: 4\n * // (after ~11000 ms, sub C gets the last 3 values)\n * // sub C: 2\n * // sub C: 3\n * // sub C: 4\n * // (after ~12000 ms)\n * // sub A: 5\n * // sub B: 5\n * // sub C: 5\n * ```\n *\n * Example for `refCount` usage\n *\n * ```ts\n * import { Observable, tap, interval, shareReplay, take } from 'rxjs';\n *\n * const log = <T>(name: string, source: Observable<T>) => source.pipe(\n *   tap({\n *     subscribe: () => console.log(`${ name }: subscribed`),\n *     next: value => console.log(`${ name }: ${ value }`),\n *     complete: () => console.log(`${ name }: completed`),\n *     finalize: () => console.log(`${ name }: unsubscribed`)\n *   })\n * );\n *\n * const obs$ = log('source', interval(1000));\n *\n * const shared$ = log('shared', obs$.pipe(\n *   shareReplay({ bufferSize: 1, refCount: true }),\n *   take(2)\n * ));\n *\n * shared$.subscribe(x => console.log('sub A: ', x));\n * shared$.subscribe(y => console.log('sub B: ', y));\n *\n * // PRINTS:\n * // shared: subscribed <-- reference count = 1\n * // source: subscribed\n * // shared: subscribed <-- reference count = 2\n * // source: 0\n * // shared: 0\n * // sub A: 0\n * // shared: 0\n * // sub B: 0\n * // source: 1\n * // shared: 1\n * // sub A: 1\n * // shared: completed <-- take(2) completes the subscription for sub A\n * // shared: unsubscribed <-- reference count = 1\n * // shared: 1\n * // sub B: 1\n * // shared: completed <-- take(2) completes the subscription for sub B\n * // shared: unsubscribed <-- reference count = 0\n * // source: unsubscribed <-- replaySubject unsubscribes from source observable because the reference count dropped to 0 and refCount is true\n *\n * // In case of refCount being false, the unsubscribe is never called on the source and the source would keep on emitting, even if no subscribers\n * // are listening.\n * // source: 2\n * // source: 3\n * // source: 4\n * // ...\n * ```\n *\n * @see {@link publish}\n * @see {@link share}\n * @see {@link publishReplay}\n *\n * @param configOrBufferSize Maximum element count of the replay buffer or {@link ShareReplayConfig configuration}\n * object.\n * @param windowTime Maximum time length of the replay buffer in milliseconds.\n * @param scheduler Scheduler where connected observers within the selector function\n * will be invoked on.\n * @return A function that returns an Observable sequence that contains the\n * elements of a sequence produced by multicasting the source sequence within a\n * selector function.\n */\nexport function shareReplay<T>(\n  configOrBufferSize?: ShareReplayConfig | number,\n  windowTime?: number,\n  scheduler?: SchedulerLike\n): MonoTypeOperatorFunction<T> {\n  let bufferSize: number;\n  let refCount = false;\n  if (configOrBufferSize && typeof configOrBufferSize === 'object') {\n    ({ bufferSize = Infinity, windowTime = Infinity, refCount = false, scheduler } = configOrBufferSize);\n  } else {\n    bufferSize = (configOrBufferSize ?? Infinity) as number;\n  }\n  return share<T>({\n    connector: () => new ReplaySubject(bufferSize, windowTime, scheduler),\n    resetOnError: true,\n    resetOnComplete: false,\n    resetOnRefCountZero: refCount,\n  });\n}\n", "import { MonoTypeOperatorFunction } from '../types';\nimport { filter } from './filter';\n\n/**\n * Returns an Observable that skips the first `count` items emitted by the source Observable.\n *\n * ![](skip.png)\n *\n * Skips the values until the sent notifications are equal or less than provided skip count. It raises\n * an error if skip count is equal or more than the actual number of emits and source raises an error.\n *\n * ## Example\n *\n * Skip the values before the emission\n *\n * ```ts\n * import { interval, skip } from 'rxjs';\n *\n * // emit every half second\n * const source = interval(500);\n * // skip the first 10 emitted values\n * const result = source.pipe(skip(10));\n *\n * result.subscribe(value => console.log(value));\n * // output: 10...11...12...13...\n * ```\n *\n * @see {@link last}\n * @see {@link skipWhile}\n * @see {@link skipUntil}\n * @see {@link skipLast}\n *\n * @param count The number of times, items emitted by source Observable should be skipped.\n * @return A function that returns an Observable that skips the first `count`\n * values emitted by the source Observable.\n */\nexport function skip<T>(count: number): MonoTypeOperatorFunction<T> {\n  return filter((_, index) => count <= index);\n}\n", "import { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\nimport { noop } from '../util/noop';\n\n/**\n * Returns an Observable that skips items emitted by the source Observable until a second Observable emits an item.\n *\n * The `skipUntil` operator causes the observable stream to skip the emission of values until the passed in observable\n * emits the first value. This can be particularly useful in combination with user interactions, responses of HTTP\n * requests or waiting for specific times to pass by.\n *\n * ![](skipUntil.png)\n *\n * Internally, the `skipUntil` operator subscribes to the passed in `notifier` `ObservableInput` (which gets converted\n * to an Observable) in order to recognize the emission of its first value. When `notifier` emits next, the operator\n * unsubscribes from it and starts emitting the values of the *source* observable until it completes or errors. It\n * will never let the *source* observable emit any values if the `notifier` completes or throws an error without\n * emitting a value before.\n *\n * ## Example\n *\n * In the following example, all emitted values of the interval observable are skipped until the user clicks anywhere\n * within the page\n *\n * ```ts\n * import { interval, fromEvent, skipUntil } from 'rxjs';\n *\n * const intervalObservable = interval(1000);\n * const click = fromEvent(document, 'click');\n *\n * const emitAfterClick = intervalObservable.pipe(\n *   skipUntil(click)\n * );\n * // clicked at 4.6s. output: 5...6...7...8........ or\n * // clicked at 7.3s. output: 8...9...10..11.......\n * emitAfterClick.subscribe(value => console.log(value));\n * ```\n *\n * @see {@link last}\n * @see {@link skip}\n * @see {@link skipWhile}\n * @see {@link skipLast}\n *\n * @param notifier An `ObservableInput` that has to emit an item before the source Observable elements begin to\n * be mirrored by the resulting Observable.\n * @return A function that returns an Observable that skips items from the\n * source Observable until the `notifier` Observable emits an item, then emits the\n * remaining items.\n */\nexport function skipUntil<T>(notifier: ObservableInput<any>): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let taking = false;\n\n    const skipSubscriber = createOperatorSubscriber(\n      subscriber,\n      () => {\n        skipSubscriber?.unsubscribe();\n        taking = true;\n      },\n      noop\n    );\n\n    innerFrom(notifier).subscribe(skipSubscriber);\n\n    source.subscribe(createOperatorSubscriber(subscriber, (value) => taking && subscriber.next(value)));\n  });\n}\n", "import { concat } from '../observable/concat';\nimport { OperatorFunction, SchedulerLike, ValueFromArray } from '../types';\nimport { popScheduler } from '../util/args';\nimport { operate } from '../util/lift';\n\n// Devs are more likely to pass null or undefined than they are a scheduler\n// without accompanying values. To make things easier for (naughty) devs who\n// use the `strictNullChecks: false` TypeScript compiler option, these\n// overloads with explicit null and undefined values are included.\n\nexport function startWith<T>(value: null): OperatorFunction<T, T | null>;\nexport function startWith<T>(value: undefined): OperatorFunction<T, T | undefined>;\n\n/** @deprecated The `scheduler` parameter will be removed in v8. Use `scheduled` and `concatAll`. Details: https://rxjs.dev/deprecations/scheduler-argument */\nexport function startWith<T, A extends readonly unknown[] = T[]>(\n  ...valuesAndScheduler: [...A, SchedulerLike]\n): OperatorFunction<T, T | ValueFromArray<A>>;\nexport function startWith<T, A extends readonly unknown[] = T[]>(...values: A): OperatorFunction<T, T | ValueFromArray<A>>;\n\n/**\n * Returns an observable that, at the moment of subscription, will synchronously emit all\n * values provided to this operator, then subscribe to the source and mirror all of its emissions\n * to subscribers.\n *\n * This is a useful way to know when subscription has occurred on an existing observable.\n *\n * <span class=\"informal\">First emits its arguments in order, and then any\n * emissions from the source.</span>\n *\n * ![](startWith.png)\n *\n * ## Examples\n *\n * Emit a value when a timer starts.\n *\n * ```ts\n * import { timer, map, startWith } from 'rxjs';\n *\n * timer(1000)\n *   .pipe(\n *     map(() => 'timer emit'),\n *     startWith('timer start')\n *   )\n *   .subscribe(x => console.log(x));\n *\n * // results:\n * // 'timer start'\n * // 'timer emit'\n * ```\n *\n * @param values Items you want the modified Observable to emit first.\n * @return A function that returns an Observable that synchronously emits\n * provided values before subscribing to the source Observable.\n *\n * @see {@link endWith}\n * @see {@link finalize}\n * @see {@link concat}\n */\nexport function startWith<T, D>(...values: D[]): OperatorFunction<T, T | D> {\n  const scheduler = popScheduler(values);\n  return operate((source, subscriber) => {\n    // Here we can't pass `undefined` as a scheduler, because if we did, the\n    // code inside of `concat` would be confused by the `undefined`, and treat it\n    // like an invalid observable. So we have to split it two different ways.\n    (scheduler ? concat(values, source, scheduler) : concat(values, source)).subscribe(subscriber);\n  });\n}\n", "import { Subscriber } from '../Subscriber';\nimport { ObservableInput, OperatorFunction, ObservedValueOf } from '../types';\nimport { innerFrom } from '../observable/innerFrom';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\n/* tslint:disable:max-line-length */\nexport function switchMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function switchMap<T, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector: undefined\n): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated The `resultSelector` parameter will be removed in v8. Use an inner `map` instead. Details: https://rxjs.dev/deprecations/resultSelector */\nexport function switchMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R\n): OperatorFunction<T, R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Projects each source value to an Observable which is merged in the output\n * Observable, emitting values only from the most recently projected Observable.\n *\n * <span class=\"informal\">Maps each value to an Observable, then flattens all of\n * these inner Observables using {@link switchAll}.</span>\n *\n * ![](switchMap.png)\n *\n * Returns an Observable that emits items based on applying a function that you\n * supply to each item emitted by the source Observable, where that function\n * returns an (so-called \"inner\") Observable. Each time it observes one of these\n * inner Observables, the output Observable begins emitting the items emitted by\n * that inner Observable. When a new inner Observable is emitted, `switchMap`\n * stops emitting items from the earlier-emitted inner Observable and begins\n * emitting items from the new one. It continues to behave like this for\n * subsequent inner Observables.\n *\n * ## Example\n *\n * Generate new Observable according to source Observable values\n *\n * ```ts\n * import { of, switchMap } from 'rxjs';\n *\n * const switched = of(1, 2, 3).pipe(switchMap(x => of(x, x ** 2, x ** 3)));\n * switched.subscribe(x => console.log(x));\n * // outputs\n * // 1\n * // 1\n * // 1\n * // 2\n * // 4\n * // 8\n * // 3\n * // 9\n * // 27\n * ```\n *\n * Restart an interval Observable on every click event\n *\n * ```ts\n * import { fromEvent, switchMap, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(switchMap(() => interval(1000)));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link concatMap}\n * @see {@link exhaustMap}\n * @see {@link mergeMap}\n * @see {@link switchAll}\n * @see {@link switchMapTo}\n *\n * @param project A function that, when applied to an item emitted by the source\n * Observable, returns an Observable.\n * @return A function that returns an Observable that emits the result of\n * applying the projection function (and the optional deprecated\n * `resultSelector`) to each item emitted by the source Observable and taking\n * only the values from the most recently projected inner Observable.\n */\nexport function switchMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector?: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R\n): OperatorFunction<T, ObservedValueOf<O> | R> {\n  return operate((source, subscriber) => {\n    let innerSubscriber: Subscriber<ObservedValueOf<O>> | null = null;\n    let index = 0;\n    // Whether or not the source subscription has completed\n    let isComplete = false;\n\n    // We only complete the result if the source is complete AND we don't have an active inner subscription.\n    // This is called both when the source completes and when the inners complete.\n    const checkComplete = () => isComplete && !innerSubscriber && subscriber.complete();\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        (value) => {\n          // Cancel the previous inner subscription if there was one\n          innerSubscriber?.unsubscribe();\n          let innerIndex = 0;\n          const outerIndex = index++;\n          // Start the next inner subscription\n          innerFrom(project(value, outerIndex)).subscribe(\n            (innerSubscriber = createOperatorSubscriber(\n              subscriber,\n              // When we get a new inner value, next it through. Note that this is\n              // handling the deprecate result selector here. This is because with this architecture\n              // it ends up being smaller than using the map operator.\n              (innerValue) => subscriber.next(resultSelector ? resultSelector(value, innerValue, outerIndex, innerIndex++) : innerValue),\n              () => {\n                // The inner has completed. Null out the inner subscriber to\n                // free up memory and to signal that we have no inner subscription\n                // currently.\n                innerSubscriber = null!;\n                checkComplete();\n              }\n            ))\n          );\n        },\n        () => {\n          isComplete = true;\n          checkComplete();\n        }\n      )\n    );\n  });\n}\n", "import { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\nimport { noop } from '../util/noop';\n\n/**\n * Emits the values emitted by the source Observable until a `notifier`\n * Observable emits a value.\n *\n * <span class=\"informal\">Lets values pass until a second Observable,\n * `notifier`, emits a value. Then, it completes.</span>\n *\n * ![](takeUntil.png)\n *\n * `takeUntil` subscribes and begins mirroring the source Observable. It also\n * monitors a second Observable, `notifier` that you provide. If the `notifier`\n * emits a value, the output Observable stops mirroring the source Observable\n * and completes. If the `notifier` doesn't emit any value and completes\n * then `takeUntil` will pass all values.\n *\n * ## Example\n *\n * Tick every second until the first click happens\n *\n * ```ts\n * import { interval, fromEvent, takeUntil } from 'rxjs';\n *\n * const source = interval(1000);\n * const clicks = fromEvent(document, 'click');\n * const result = source.pipe(takeUntil(clicks));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link take}\n * @see {@link takeLast}\n * @see {@link takeWhile}\n * @see {@link skip}\n *\n * @param notifier The `ObservableInput` whose first emitted value will cause the output\n * Observable of `takeUntil` to stop emitting values from the source Observable.\n * @return A function that returns an Observable that emits the values from the\n * source Observable until `notifier` emits its first value.\n */\nexport function takeUntil<T>(notifier: ObservableInput<any>): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    innerFrom(notifier).subscribe(createOperatorSubscriber(subscriber, () => subscriber.complete(), noop));\n    !subscriber.closed && source.subscribe(subscriber);\n  });\n}\n", "import { OperatorFunction, MonoTypeOperatorFunction, TruthyTypesOf } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\n\nexport function takeWhile<T>(predicate: BooleanConstructor, inclusive: true): MonoTypeOperatorFunction<T>;\nexport function takeWhile<T>(predicate: BooleanConstructor, inclusive: false): OperatorFunction<T, TruthyTypesOf<T>>;\nexport function takeWhile<T>(predicate: BooleanConstructor): OperatorFunction<T, TruthyTypesOf<T>>;\nexport function takeWhile<T, S extends T>(predicate: (value: T, index: number) => value is S): OperatorFunction<T, S>;\nexport function takeWhile<T, S extends T>(predicate: (value: T, index: number) => value is S, inclusive: false): OperatorFunction<T, S>;\nexport function takeWhile<T>(predicate: (value: T, index: number) => boolean, inclusive?: boolean): MonoTypeOperatorFunction<T>;\n\n/**\n * Emits values emitted by the source Observable so long as each value satisfies\n * the given `predicate`, and then completes as soon as this `predicate` is not\n * satisfied.\n *\n * <span class=\"informal\">Takes values from the source only while they pass the\n * condition given. When the first value does not satisfy, it completes.</span>\n *\n * ![](takeWhile.png)\n *\n * `takeWhile` subscribes and begins mirroring the source Observable. Each value\n * emitted on the source is given to the `predicate` function which returns a\n * boolean, representing a condition to be satisfied by the source values. The\n * output Observable emits the source values until such time as the `predicate`\n * returns false, at which point `takeWhile` stops mirroring the source\n * Observable and completes the output Observable.\n *\n * ## Example\n *\n * Emit click events only while the clientX property is greater than 200\n *\n * ```ts\n * import { fromEvent, takeWhile } from 'rxjs';\n *\n * const clicks = fromEvent<PointerEvent>(document, 'click');\n * const result = clicks.pipe(takeWhile(ev => ev.clientX > 200));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link take}\n * @see {@link takeLast}\n * @see {@link takeUntil}\n * @see {@link skip}\n *\n * @param predicate A function that evaluates a value emitted by the source\n * Observable and returns a boolean. Also takes the (zero-based) index as the\n * second argument.\n * @param inclusive When set to `true` the value that caused `predicate` to\n * return `false` will also be emitted.\n * @return A function that returns an Observable that emits values from the\n * source Observable so long as each value satisfies the condition defined by\n * the `predicate`, then completes.\n */\nexport function takeWhile<T>(predicate: (value: T, index: number) => boolean, inclusive = false): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    let index = 0;\n    source.subscribe(\n      createOperatorSubscriber(subscriber, (value) => {\n        const result = predicate(value, index++);\n        (result || inclusive) && subscriber.next(value);\n        !result && subscriber.complete();\n      })\n    );\n  });\n}\n", "import { MonoTypeOperatorFunction, Observer } from '../types';\nimport { isFunction } from '../util/isFunction';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { identity } from '../util/identity';\n\n/**\n * An extension to the {@link Observer} interface used only by the {@link tap} operator.\n *\n * It provides a useful set of callbacks a user can register to do side-effects in\n * cases other than what the usual {@link Observer} callbacks are\n * ({@link guide/glossary-and-semantics#next next},\n * {@link guide/glossary-and-semantics#error error} and/or\n * {@link guide/glossary-and-semantics#complete complete}).\n *\n * ## Example\n *\n * ```ts\n * import { fromEvent, switchMap, tap, interval, take } from 'rxjs';\n *\n * const source$ = fromEvent(document, 'click');\n * const result$ = source$.pipe(\n *   switchMap((_, i) => i % 2 === 0\n *     ? fromEvent(document, 'mousemove').pipe(\n *         tap({\n *           subscribe: () => console.log('Subscribed to the mouse move events after click #' + i),\n *           unsubscribe: () => console.log('Mouse move events #' + i + ' unsubscribed'),\n *           finalize: () => console.log('Mouse move events #' + i + ' finalized')\n *         })\n *       )\n *     : interval(1_000).pipe(\n *         take(5),\n *         tap({\n *           subscribe: () => console.log('Subscribed to the 1-second interval events after click #' + i),\n *           unsubscribe: () => console.log('1-second interval events #' + i + ' unsubscribed'),\n *           finalize: () => console.log('1-second interval events #' + i + ' finalized')\n *         })\n *       )\n *   )\n * );\n *\n * const subscription = result$.subscribe({\n *   next: console.log\n * });\n *\n * setTimeout(() => {\n *   console.log('Unsubscribe after 60 seconds');\n *   subscription.unsubscribe();\n * }, 60_000);\n * ```\n */\nexport interface TapObserver<T> extends Observer<T> {\n  /**\n   * The callback that `tap` operator invokes at the moment when the source Observable\n   * gets subscribed to.\n   */\n  subscribe: () => void;\n  /**\n   * The callback that `tap` operator invokes when an explicit\n   * {@link guide/glossary-and-semantics#unsubscription unsubscribe} happens. It won't get invoked on\n   * `error` or `complete` events.\n   */\n  unsubscribe: () => void;\n  /**\n   * The callback that `tap` operator invokes when any kind of\n   * {@link guide/glossary-and-semantics#finalization finalization} happens - either when\n   * the source Observable `error`s or `complete`s or when it gets explicitly unsubscribed\n   * by the user. There is no difference in using this callback or the {@link finalize}\n   * operator, but if you're already using `tap` operator, you can use this callback\n   * instead. You'd get the same result in either case.\n   */\n  finalize: () => void;\n}\nexport function tap<T>(observerOrNext?: Partial<TapObserver<T>> | ((value: T) => void)): MonoTypeOperatorFunction<T>;\n/** @deprecated Instead of passing separate callback arguments, use an observer argument. Signatures taking separate callback arguments will be removed in v8. Details: https://rxjs.dev/deprecations/subscribe-arguments */\nexport function tap<T>(\n  next?: ((value: T) => void) | null,\n  error?: ((error: any) => void) | null,\n  complete?: (() => void) | null\n): MonoTypeOperatorFunction<T>;\n\n/**\n * Used to perform side-effects for notifications from the source observable\n *\n * <span class=\"informal\">Used when you want to affect outside state with a notification without altering the notification</span>\n *\n * ![](tap.png)\n *\n * Tap is designed to allow the developer a designated place to perform side effects. While you _could_ perform side-effects\n * inside of a `map` or a `mergeMap`, that would make their mapping functions impure, which isn't always a big deal, but will\n * make it so you can't do things like memoize those functions. The `tap` operator is designed solely for such side-effects to\n * help you remove side-effects from other operations.\n *\n * For any notification, next, error, or complete, `tap` will call the appropriate callback you have provided to it, via a function\n * reference, or a partial observer, then pass that notification down the stream.\n *\n * The observable returned by `tap` is an exact mirror of the source, with one exception: Any error that occurs -- synchronously -- in a handler\n * provided to `tap` will be emitted as an error from the returned observable.\n *\n * > Be careful! You can mutate objects as they pass through the `tap` operator's handlers.\n *\n * The most common use of `tap` is actually for debugging. You can place a `tap(console.log)` anywhere\n * in your observable `pipe`, log out the notifications as they are emitted by the source returned by the previous\n * operation.\n *\n * ## Examples\n *\n * Check a random number before it is handled. Below is an observable that will use a random number between 0 and 1,\n * and emit `'big'` or `'small'` depending on the size of that number. But we wanted to log what the original number\n * was, so we have added a `tap(console.log)`.\n *\n * ```ts\n * import { of, tap, map } from 'rxjs';\n *\n * of(Math.random()).pipe(\n *   tap(console.log),\n *   map(n => n > 0.5 ? 'big' : 'small')\n * ).subscribe(console.log);\n * ```\n *\n * Using `tap` to analyze a value and force an error. Below is an observable where in our system we only\n * want to emit numbers 3 or less we get from another source. We can force our observable to error\n * using `tap`.\n *\n * ```ts\n * import { of, tap } from 'rxjs';\n *\n * const source = of(1, 2, 3, 4, 5);\n *\n * source.pipe(\n *   tap(n => {\n *     if (n > 3) {\n *       throw new TypeError(`Value ${ n } is greater than 3`);\n *     }\n *   })\n * )\n * .subscribe({ next: console.log, error: err => console.log(err.message) });\n * ```\n *\n * We want to know when an observable completes before moving on to the next observable. The system\n * below will emit a random series of `'X'` characters from 3 different observables in sequence. The\n * only way we know when one observable completes and moves to the next one, in this case, is because\n * we have added a `tap` with the side effect of logging to console.\n *\n * ```ts\n * import { of, concatMap, interval, take, map, tap } from 'rxjs';\n *\n * of(1, 2, 3).pipe(\n *   concatMap(n => interval(1000).pipe(\n *     take(Math.round(Math.random() * 10)),\n *     map(() => 'X'),\n *     tap({ complete: () => console.log(`Done with ${ n }`) })\n *   ))\n * )\n * .subscribe(console.log);\n * ```\n *\n * @see {@link finalize}\n * @see {@link TapObserver}\n *\n * @param observerOrNext A next handler or partial observer\n * @param error An error handler\n * @param complete A completion handler\n * @return A function that returns an Observable identical to the source, but\n * runs the specified Observer or callback(s) for each item.\n */\nexport function tap<T>(\n  observerOrNext?: Partial<TapObserver<T>> | ((value: T) => void) | null,\n  error?: ((e: any) => void) | null,\n  complete?: (() => void) | null\n): MonoTypeOperatorFunction<T> {\n  // We have to check to see not only if next is a function,\n  // but if error or complete were passed. This is because someone\n  // could technically call tap like `tap(null, fn)` or `tap(null, null, fn)`.\n  const tapObserver =\n    isFunction(observerOrNext) || error || complete\n      ? // tslint:disable-next-line: no-object-literal-type-assertion\n        ({ next: observerOrNext as Exclude<typeof observerOrNext, Partial<TapObserver<T>>>, error, complete } as Partial<TapObserver<T>>)\n      : observerOrNext;\n\n  return tapObserver\n    ? operate((source, subscriber) => {\n        tapObserver.subscribe?.();\n        let isUnsub = true;\n        source.subscribe(\n          createOperatorSubscriber(\n            subscriber,\n            (value) => {\n              tapObserver.next?.(value);\n              subscriber.next(value);\n            },\n            () => {\n              isUnsub = false;\n              tapObserver.complete?.();\n              subscriber.complete();\n            },\n            (err) => {\n              isUnsub = false;\n              tapObserver.error?.(err);\n              subscriber.error(err);\n            },\n            () => {\n              if (isUnsub) {\n                tapObserver.unsubscribe?.();\n              }\n              tapObserver.finalize?.();\n            }\n          )\n        );\n      })\n    : // Tap was called with no valid tap observer or handler\n      // (e.g. `tap(null, null, null)` or `tap(null)` or `tap()`)\n      // so we're going to just mirror the source.\n      identity;\n}\n", "import { Subscription } from '../Subscription';\n\nimport { MonoTypeOperatorFunction, ObservableInput } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\n\n/**\n * An object interface used by {@link throttle} or {@link throttleTime} that ensure\n * configuration options of these operators.\n *\n * @see {@link throttle}\n * @see {@link throttleTime}\n */\nexport interface ThrottleConfig {\n  /**\n   * If `true`, the resulting Observable will emit the first value from the source\n   * Observable at the **start** of the \"throttling\" process (when starting an\n   * internal timer that prevents other emissions from the source to pass through).\n   * If `false`, it will not emit the first value from the source Observable at the\n   * start of the \"throttling\" process.\n   *\n   * If not provided, defaults to: `true`.\n   */\n  leading?: boolean;\n  /**\n   * If `true`, the resulting Observable will emit the last value from the source\n   * Observable at the **end** of the \"throttling\" process (when ending an internal\n   * timer that prevents other emissions from the source to pass through).\n   * If `false`, it will not emit the last value from the source Observable at the\n   * end of the \"throttling\" process.\n   *\n   * If not provided, defaults to: `false`.\n   */\n  trailing?: boolean;\n}\n\n/**\n * Emits a value from the source Observable, then ignores subsequent source\n * values for a duration determined by another Observable, then repeats this\n * process.\n *\n * <span class=\"informal\">It's like {@link throttleTime}, but the silencing\n * duration is determined by a second Observable.</span>\n *\n * ![](throttle.svg)\n *\n * `throttle` emits the source Observable values on the output Observable\n * when its internal timer is disabled, and ignores source values when the timer\n * is enabled. Initially, the timer is disabled. As soon as the first source\n * value arrives, it is forwarded to the output Observable, and then the timer\n * is enabled by calling the `durationSelector` function with the source value,\n * which returns the \"duration\" Observable. When the duration Observable emits a\n * value, the timer is disabled, and this process repeats for the\n * next source value.\n *\n * ## Example\n *\n * Emit clicks at a rate of at most one click per second\n *\n * ```ts\n * import { fromEvent, throttle, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(throttle(() => interval(1000)));\n *\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link audit}\n * @see {@link debounce}\n * @see {@link delayWhen}\n * @see {@link sample}\n * @see {@link throttleTime}\n *\n * @param durationSelector A function that receives a value from the source\n * Observable, for computing the silencing duration for each source value,\n * returned as an `ObservableInput`.\n * @param config A configuration object to define `leading` and `trailing`\n * behavior. Defaults to `{ leading: true, trailing: false }`.\n * @return A function that returns an Observable that performs the throttle\n * operation to limit the rate of emissions from the source.\n */\nexport function throttle<T>(durationSelector: (value: T) => ObservableInput<any>, config?: ThrottleConfig): MonoTypeOperatorFunction<T> {\n  return operate((source, subscriber) => {\n    const { leading = true, trailing = false } = config ?? {};\n    let hasValue = false;\n    let sendValue: T | null = null;\n    let throttled: Subscription | null = null;\n    let isComplete = false;\n\n    const endThrottling = () => {\n      throttled?.unsubscribe();\n      throttled = null;\n      if (trailing) {\n        send();\n        isComplete && subscriber.complete();\n      }\n    };\n\n    const cleanupThrottling = () => {\n      throttled = null;\n      isComplete && subscriber.complete();\n    };\n\n    const startThrottle = (value: T) =>\n      (throttled = innerFrom(durationSelector(value)).subscribe(createOperatorSubscriber(subscriber, endThrottling, cleanupThrottling)));\n\n    const send = () => {\n      if (hasValue) {\n        // Ensure we clear out our value and hasValue flag\n        // before we emit, otherwise reentrant code can cause\n        // issues here.\n        hasValue = false;\n        const value = sendValue!;\n        sendValue = null;\n        // Emit the value.\n        subscriber.next(value);\n        !isComplete && startThrottle(value);\n      }\n    };\n\n    source.subscribe(\n      createOperatorSubscriber(\n        subscriber,\n        // Regarding the presence of throttled.closed in the following\n        // conditions, if a synchronous duration selector is specified - weird,\n        // but legal - an already-closed subscription will be assigned to\n        // throttled, so the subscription's closed property needs to be checked,\n        // too.\n        (value) => {\n          hasValue = true;\n          sendValue = value;\n          !(throttled && !throttled.closed) && (leading ? send() : startThrottle(value));\n        },\n        () => {\n          isComplete = true;\n          !(trailing && hasValue && throttled && !throttled.closed) && subscriber.complete();\n        }\n      )\n    );\n  });\n}\n", "import { asyncScheduler } from '../scheduler/async';\nimport { throttle, ThrottleConfig } from './throttle';\nimport { MonoTypeOperatorFunction, SchedulerLike } from '../types';\nimport { timer } from '../observable/timer';\n\n/**\n * Emits a value from the source Observable, then ignores subsequent source\n * values for `duration` milliseconds, then repeats this process.\n *\n * <span class=\"informal\">Lets a value pass, then ignores source values for the\n * next `duration` milliseconds.</span>\n *\n * ![](throttleTime.png)\n *\n * `throttleTime` emits the source Observable values on the output Observable\n * when its internal timer is disabled, and ignores source values when the timer\n * is enabled. Initially, the timer is disabled. As soon as the first source\n * value arrives, it is forwarded to the output Observable, and then the timer\n * is enabled. After `duration` milliseconds (or the time unit determined\n * internally by the optional `scheduler`) has passed, the timer is disabled,\n * and this process repeats for the next source value. Optionally takes a\n * {@link SchedulerLike} for managing timers.\n *\n * ## Examples\n *\n * ### Limit click rate\n *\n * Emit clicks at a rate of at most one click per second\n *\n * ```ts\n * import { fromEvent, throttleTime } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const result = clicks.pipe(throttleTime(1000));\n *\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link auditTime}\n * @see {@link debounceTime}\n * @see {@link delay}\n * @see {@link sampleTime}\n * @see {@link throttle}\n *\n * @param duration Time to wait before emitting another value after\n * emitting the last value, measured in milliseconds or the time unit determined\n * internally by the optional `scheduler`.\n * @param scheduler The {@link SchedulerLike} to use for\n * managing the timers that handle the throttling. Defaults to {@link asyncScheduler}.\n * @param config A configuration object to define `leading` and\n * `trailing` behavior. Defaults to `{ leading: true, trailing: false }`.\n * @return A function that returns an Observable that performs the throttle\n * operation to limit the rate of emissions from the source.\n */\nexport function throttleTime<T>(\n  duration: number,\n  scheduler: SchedulerLike = asyncScheduler,\n  config?: ThrottleConfig\n): MonoTypeOperatorFunction<T> {\n  const duration$ = timer(duration, scheduler);\n  return throttle(() => duration$, config);\n}\n", "import { OperatorFunction, ObservableInputTuple } from '../types';\nimport { operate } from '../util/lift';\nimport { createOperatorSubscriber } from './OperatorSubscriber';\nimport { innerFrom } from '../observable/innerFrom';\nimport { identity } from '../util/identity';\nimport { noop } from '../util/noop';\nimport { popResultSelector } from '../util/args';\n\nexport function withLatestFrom<T, O extends unknown[]>(...inputs: [...ObservableInputTuple<O>]): OperatorFunction<T, [T, ...O]>;\n\nexport function withLatestFrom<T, O extends unknown[], R>(\n  ...inputs: [...ObservableInputTuple<O>, (...value: [T, ...O]) => R]\n): OperatorFunction<T, R>;\n\n/**\n * Combines the source Observable with other Observables to create an Observable\n * whose values are calculated from the latest values of each, only when the\n * source emits.\n *\n * <span class=\"informal\">Whenever the source Observable emits a value, it\n * computes a formula using that value plus the latest values from other input\n * Observables, then emits the output of that formula.</span>\n *\n * ![](withLatestFrom.png)\n *\n * `withLatestFrom` combines each value from the source Observable (the\n * instance) with the latest values from the other input Observables only when\n * the source emits a value, optionally using a `project` function to determine\n * the value to be emitted on the output Observable. All input Observables must\n * emit at least one value before the output Observable will emit a value.\n *\n * ## Example\n *\n * On every click event, emit an array with the latest timer event plus the click event\n *\n * ```ts\n * import { fromEvent, interval, withLatestFrom } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const timer = interval(1000);\n * const result = clicks.pipe(withLatestFrom(timer));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link combineLatest}\n *\n * @param inputs An input Observable to combine with the source Observable. More\n * than one input Observables may be given as argument. If the last parameter is\n * a function, it will be used as a projection function for combining values\n * together. When the function is called, it receives all values in order of the\n * Observables passed, where the first parameter is a value from the source\n * Observable. (e.g.\n * `a.pipe(withLatestFrom(b, c), map(([a1, b1, c1]) => a1 + b1 + c1))`). If this\n * is not passed, arrays will be emitted on the output Observable.\n * @return A function that returns an Observable of projected values from the\n * most recent values from each input Observable, or an array of the most\n * recent values from each input Observable.\n */\nexport function withLatestFrom<T, R>(...inputs: any[]): OperatorFunction<T, R | any[]> {\n  const project = popResultSelector(inputs) as ((...args: any[]) => R) | undefined;\n\n  return operate((source, subscriber) => {\n    const len = inputs.length;\n    const otherValues = new Array(len);\n    // An array of whether or not the other sources have emitted. Matched with them by index.\n    // TODO: At somepoint, we should investigate the performance implications here, and look\n    // into using a `Set()` and checking the `size` to see if we're ready.\n    let hasValue = inputs.map(() => false);\n    // Flipped true when we have at least one value from all other sources and\n    // we are ready to start emitting values.\n    let ready = false;\n\n    // Other sources. Note that here we are not checking `subscriber.closed`,\n    // this causes all inputs to be subscribed to, even if nothing can be emitted\n    // from them. This is an important distinction because subscription constitutes\n    // a side-effect.\n    for (let i = 0; i < len; i++) {\n      innerFrom(inputs[i]).subscribe(\n        createOperatorSubscriber(\n          subscriber,\n          (value) => {\n            otherValues[i] = value;\n            if (!ready && !hasValue[i]) {\n              // If we're not ready yet, flag to show this observable has emitted.\n              hasValue[i] = true;\n              // Intentionally terse code.\n              // If all of our other observables have emitted, set `ready` to `true`,\n              // so we know we can start emitting values, then clean up the `hasValue` array,\n              // because we don't need it anymore.\n              (ready = hasValue.every(identity)) && (hasValue = null!);\n            }\n          },\n          // Completing one of the other sources has\n          // no bearing on the completion of our result.\n          noop\n        )\n      );\n    }\n\n    // Source subscription\n    source.subscribe(\n      createOperatorSubscriber(subscriber, (value) => {\n        if (ready) {\n          // We have at least one value from the other sources. Go ahead and emit.\n          const values = [value, ...otherValues];\n          subscriber.next(project ? project(...values) : values);\n        }\n      })\n    );\n  });\n}\n", "import { zip as zipStatic } from '../observable/zip';\nimport { ObservableInput, ObservableInputTuple, OperatorFunction, Cons } from '../types';\nimport { operate } from '../util/lift';\n\n/** @deprecated Replaced with {@link zipWith}. Will be removed in v8. */\nexport function zip<T, A extends readonly unknown[]>(otherInputs: [...ObservableInputTuple<A>]): OperatorFunction<T, Cons<T, A>>;\n/** @deprecated Replaced with {@link zipWith}. Will be removed in v8. */\nexport function zip<T, A extends readonly unknown[], R>(\n  otherInputsAndProject: [...ObservableInputTuple<A>],\n  project: (...values: Cons<T, A>) => R\n): OperatorFunction<T, R>;\n/** @deprecated Replaced with {@link zipWith}. Will be removed in v8. */\nexport function zip<T, A extends readonly unknown[]>(...otherInputs: [...ObservableInputTuple<A>]): OperatorFunction<T, Cons<T, A>>;\n/** @deprecated Replaced with {@link zipWith}. Will be removed in v8. */\nexport function zip<T, A extends readonly unknown[], R>(\n  ...otherInputsAndProject: [...ObservableInputTuple<A>, (...values: Cons<T, A>) => R]\n): OperatorFunction<T, R>;\n\n/**\n * @deprecated Replaced with {@link zipWith}. Will be removed in v8.\n */\nexport function zip<T, R>(...sources: Array<ObservableInput<any> | ((...values: Array<any>) => R)>): OperatorFunction<T, any> {\n  return operate((source, subscriber) => {\n    zipStatic(source as ObservableInput<any>, ...(sources as Array<ObservableInput<any>>)).subscribe(subscriber);\n  });\n}\n", "import { ObservableInputTuple, OperatorFunction, Cons } from '../types';\nimport { zip } from './zip';\n\n/**\n * Subscribes to the source, and the observable inputs provided as arguments, and combines their values, by index, into arrays.\n *\n * What is meant by \"combine by index\": The first value from each will be made into a single array, then emitted,\n * then the second value from each will be combined into a single array and emitted, then the third value\n * from each will be combined into a single array and emitted, and so on.\n *\n * This will continue until it is no longer able to combine values of the same index into an array.\n *\n * After the last value from any one completed source is emitted in an array, the resulting observable will complete,\n * as there is no way to continue \"zipping\" values together by index.\n *\n * Use-cases for this operator are limited. There are memory concerns if one of the streams is emitting\n * values at a much faster rate than the others. Usage should likely be limited to streams that emit\n * at a similar pace, or finite streams of known length.\n *\n * In many cases, authors want `combineLatestWith` and not `zipWith`.\n *\n * @param otherInputs other observable inputs to collate values from.\n * @return A function that returns an Observable that emits items by index\n * combined from the source Observable and provided Observables, in form of an\n * array.\n */\nexport function zipWith<T, A extends readonly unknown[]>(...otherInputs: [...ObservableInputTuple<A>]): OperatorFunction<T, Cons<T, A>> {\n  return zip(...otherInputs);\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  ReplaySubject,\n  Subject,\n  fromEvent\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch document\n *\n * Documents are implemented as subjects, so all downstream observables are\n * automatically updated when a new document is emitted.\n *\n * @returns Document subject\n */\nexport function watchDocument(): Subject<Document> {\n  const document$ = new ReplaySubject<Document>(1)\n  fromEvent(document, \"DOMContentLoaded\", { once: true })\n    .subscribe(() => document$.next(document))\n\n  /* Return document */\n  return document$\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T[]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T[] {\n  return Array.from(node.querySelectorAll<T>(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T {\n  const el = getOptionalElement<T>(selector, node)\n  if (typeof el === \"undefined\")\n    throw new ReferenceError(\n      `Missing element: expected \"${selector}\" to be present`\n    )\n\n  /* Return element */\n  return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T | undefined {\n  return node.querySelector<T>(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n  return (\n    document.activeElement?.shadowRoot?.activeElement as HTMLElement ??\n    document.activeElement as HTMLElement ??\n    undefined\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  debounceTime,\n  distinctUntilChanged,\n  fromEvent,\n  map,\n  merge,\n  shareReplay,\n  startWith\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Focus observable\n *\n * Previously, this observer used `focus` and `blur` events to determine whether\n * an element is focused, but this doesn't work if there are focusable elements\n * within the elements itself. A better solutions are `focusin` and `focusout`\n * events, which bubble up the tree and allow for more fine-grained control.\n *\n * `debounceTime` is necessary, because when a focus change happens inside an\n * element, the observable would first emit `false` and then `true` again.\n */\nconst observer$ = merge(\n  fromEvent(document.body, \"focusin\"),\n  fromEvent(document.body, \"focusout\")\n)\n  .pipe(\n    debounceTime(1),\n    startWith(undefined),\n    map(() => getActiveElement() || document.body),\n    shareReplay(1)\n  )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element focus\n *\n * @param el - Element\n *\n * @returns Element focus observable\n */\nexport function watchElementFocus(\n  el: HTMLElement\n): Observable<boolean> {\n  return observer$\n    .pipe(\n      map(active => el.contains(active)),\n      distinctUntilChanged()\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  debounce,\n  defer,\n  fromEvent,\n  identity,\n  map,\n  merge,\n  startWith,\n  timer\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element hover\n *\n * The second parameter allows to specify a timeout in milliseconds after which\n * the hover state will be reset to `false`. This is useful for tooltips which\n * should disappear after a certain amount of time, in order to allow the user\n * to move the cursor from the host to the tooltip.\n *\n * @param el - Element\n * @param timeout - Timeout\n *\n * @returns Element hover observable\n */\nexport function watchElementHover(\n  el: HTMLElement, timeout?: number\n): Observable<boolean> {\n  return defer(() => merge(\n    fromEvent(el, \"mouseenter\").pipe(map(() => true)),\n    fromEvent(el, \"mouseleave\").pipe(map(() => false))\n  )\n    .pipe(\n      timeout ? debounce(active => timer(+!active * timeout)) : identity,\n      startWith(el.matches(\":hover\"))\n    )\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { JSX as JSXInternal } from \"preact\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * HTML attributes\n */\ntype Attributes =\n  & JSXInternal.HTMLAttributes\n  & JSXInternal.SVGAttributes\n  & Record<string, any>\n\n/**\n * Child element\n */\ntype Child =\n  | ChildNode\n  | HTMLElement\n  | Text\n  | string\n  | number\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Append a child node to an element\n *\n * @param el - Element\n * @param child - Child node(s)\n */\nfunction appendChild(el: HTMLElement, child: Child | Child[]): void {\n\n  /* Handle primitive types (including raw HTML) */\n  if (typeof child === \"string\" || typeof child === \"number\") {\n    el.innerHTML += child.toString()\n\n  /* Handle nodes */\n  } else if (child instanceof Node) {\n    el.appendChild(child)\n\n  /* Handle nested children */\n  } else if (Array.isArray(child)) {\n    for (const node of child)\n      appendChild(el, node)\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * JSX factory\n *\n * @template T - Element type\n *\n * @param tag - HTML tag\n * @param attributes - HTML attributes\n * @param children - Child elements\n *\n * @returns Element\n */\nexport function h<T extends keyof HTMLElementTagNameMap>(\n  tag: T, attributes?: Attributes | null, ...children: Child[]\n): HTMLElementTagNameMap[T]\n\nexport function h<T extends h.JSX.Element>(\n  tag: string, attributes?: Attributes | null, ...children: Child[]\n): T\n\nexport function h<T extends h.JSX.Element>(\n  tag: string, attributes?: Attributes | null, ...children: Child[]\n): T {\n  const el = document.createElement(tag)\n\n  /* Set attributes, if any */\n  if (attributes)\n    for (const attr of Object.keys(attributes)) {\n      if (typeof attributes[attr] === \"undefined\")\n        continue\n\n      /* Set default attribute or boolean */\n      if (typeof attributes[attr] !== \"boolean\")\n        el.setAttribute(attr, attributes[attr])\n      else\n        el.setAttribute(attr, \"\")\n    }\n\n  /* Append child nodes */\n  for (const child of children)\n    appendChild(el, child)\n\n  /* Return element */\n  return el as T\n}\n\n/* ----------------------------------------------------------------------------\n * Namespace\n * ------------------------------------------------------------------------- */\n\nexport declare namespace h {\n  namespace JSX {\n    type Element = HTMLElement\n    type IntrinsicElements = JSXInternal.IntrinsicElements\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Round a number for display with repository facts\n *\n * This is a reverse-engineered version of GitHub's weird rounding algorithm\n * for stars, forks and all other numbers. While all numbers below `1,000` are\n * returned as-is, bigger numbers are converted to fixed numbers:\n *\n * - `1,049` => `1k`\n * - `1,050` => `1.1k`\n * - `1,949` => `1.9k`\n * - `1,950` => `2k`\n *\n * @param value - Original value\n *\n * @returns Rounded value\n */\nexport function round(value: number): string {\n  if (value > 999) {\n    const digits = +((value - 950) % 1000 > 99)\n    return `${((value + 0.000001) / 1000).toFixed(digits)}k`\n  } else {\n    return value.toString()\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  defer,\n  finalize,\n  fromEvent,\n  map,\n  merge,\n  switchMap,\n  take,\n  throwError\n} from \"rxjs\"\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create and load a `script` element\n *\n * This function returns an observable that will emit when the script was\n * successfully loaded, or throw an error if it wasn't.\n *\n * @param src - Script URL\n *\n * @returns Script observable\n */\nexport function watchScript(src: string): Observable<void> {\n  const script = h(\"script\", { src })\n  return defer(() => {\n    document.head.appendChild(script)\n    return merge(\n      fromEvent(script, \"load\"),\n      fromEvent(script, \"error\")\n        .pipe(\n          switchMap(() => (\n            throwError(() => new ReferenceError(`Invalid script: ${src}`))\n          ))\n        )\n    )\n      .pipe(\n        map(() => undefined),\n        finalize(() => document.head.removeChild(script)),\n        take(1)\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  NEVER,\n  Observable,\n  Subject,\n  defer,\n  filter,\n  finalize,\n  map,\n  merge,\n  of,\n  shareReplay,\n  startWith,\n  switchMap,\n  tap\n} from \"rxjs\"\n\nimport { watchScript } from \"../../../script\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementSize {\n  width: number                        /* Element width */\n  height: number                       /* Element height */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Resize observer entry subject\n */\nconst entry$ = new Subject<ResizeObserverEntry>()\n\n/**\n * Resize observer observable\n *\n * This observable will create a `ResizeObserver` on the first subscription\n * and will automatically terminate it when there are no more subscribers.\n * It's quite important to centralize observation in a single `ResizeObserver`,\n * as the performance difference can be quite dramatic, as the link shows.\n *\n * If the browser doesn't have a `ResizeObserver` implementation available, a\n * polyfill is automatically downloaded from unpkg.com. This is also compatible\n * with the built-in privacy plugin, which will download the polyfill and put\n * it alongside the built site for self-hosting.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => (\n  typeof ResizeObserver === \"undefined\"\n    ? watchScript(\"https://unpkg.com/resize-observer-polyfill\")\n    : of(undefined)\n))\n  .pipe(\n    map(() => new ResizeObserver(entries => (\n      entries.forEach(entry => entry$.next(entry))\n    ))),\n    switchMap(observer => merge(NEVER, of(observer)).pipe(\n      finalize(() => observer.disconnect())\n    )),\n    shareReplay(1)\n  )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element size\n *\n * @param el - Element\n *\n * @returns Element size\n */\nexport function getElementSize(\n  el: HTMLElement\n): ElementSize {\n  return {\n    width:  el.offsetWidth,\n    height: el.offsetHeight\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element size\n *\n * This function returns an observable that subscribes to a single internal\n * instance of `ResizeObserver` upon subscription, and emit resize events until\n * termination. Note that this function should not be called with the same\n * element twice, as the first unsubscription will terminate observation.\n *\n * Sadly, we can't use the `DOMRect` objects returned by the observer, because\n * we need the emitted values to be consistent with `getElementSize`, which will\n * return the used values (rounded) and not actual values (unrounded). Thus, we\n * use the `offset*` properties. See the linked GitHub issue.\n *\n * @see https://bit.ly/3m0k3he - GitHub issue\n *\n * @param el - Element\n *\n * @returns Element size observable\n */\nexport function watchElementSize(\n  el: HTMLElement\n): Observable<ElementSize> {\n\n  // Compute target element - since inline elements cannot be observed by the\n  // current `ResizeObserver` implementation as provided by browsers, we need\n  // to determine the first containing parent element and use that one as a\n  // target, while we always compute the actual size from the element.\n  let target = el\n  while (target.clientWidth === 0)\n    if (target.parentElement)\n      target = target.parentElement\n    else\n      break\n\n  // Observe target element and recompute element size on resize - as described\n  // above, the target element is not necessarily the element of interest\n  return observer$.pipe(\n    tap(observer => observer.observe(target)),\n    switchMap(observer => entry$.pipe(\n      filter(entry => entry.target === target),\n      finalize(() => observer.unobserve(target))\n    )),\n    map(() => getElementSize(el)),\n    startWith(getElementSize(el))\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ElementSize } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content size (= scroll width and height)\n *\n * @param el - Element\n *\n * @returns Element content size\n */\nexport function getElementContentSize(\n  el: HTMLElement\n): ElementSize {\n  return {\n    width:  el.scrollWidth,\n    height: el.scrollHeight\n  }\n}\n\n/**\n * Retrieve the overflowing container of an element, if any\n *\n * @param el - Element\n *\n * @returns Overflowing container or nothing\n */\nexport function getElementContainer(\n  el: HTMLElement\n): HTMLElement | undefined {\n  let parent = el.parentElement\n  while (parent)\n    if (\n      el.scrollWidth  <= parent.scrollWidth &&\n      el.scrollHeight <= parent.scrollHeight\n    )\n      parent = (el = parent).parentElement\n    else\n      break\n\n  /* Return overflowing container */\n  return parent ? el : undefined\n}\n\n/**\n * Retrieve all overflowing containers of an element, if any\n *\n * Note that this function has a slightly different behavior, so we should at\n * some point consider refactoring how overflowing containers are handled.\n *\n * @param el - Element\n *\n * @returns Overflowing containers\n */\nexport function getElementContainers(\n  el: HTMLElement\n): HTMLElement[] {\n  const containers: HTMLElement[] = []\n\n  // Walk up the DOM tree until we find an overflowing container\n  let parent = el.parentElement\n  while (parent) {\n    if (\n      el.clientWidth  > parent.clientWidth ||\n      el.clientHeight > parent.clientHeight\n    )\n      containers.push(parent)\n\n    // Continue with parent element\n    parent = (el = parent).parentElement\n  }\n\n  // If the page is short, the body might not be overflowing and there might be\n  // no other containers, which is why we need to make sure the body is present\n  if (containers.length === 0)\n    containers.push(document.documentElement)\n\n  // Return overflowing containers\n  return containers\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  animationFrameScheduler,\n  auditTime,\n  fromEvent,\n  map,\n  merge,\n  startWith\n} from \"rxjs\"\n\nimport { watchElementSize } from \"../../size\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementOffset {\n  x: number                            /* Horizontal offset */\n  y: number                            /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element offset\n *\n * @param el - Element\n *\n * @returns Element offset\n */\nexport function getElementOffset(\n  el: HTMLElement\n): ElementOffset {\n  return {\n    x: el.offsetLeft,\n    y: el.offsetTop\n  }\n}\n\n/**\n * Retrieve absolute element offset\n *\n * @param el - Element\n *\n * @returns Element offset\n */\nexport function getElementOffsetAbsolute(\n  el: HTMLElement\n): ElementOffset {\n  const rect = el.getBoundingClientRect()\n  return {\n    x: rect.x + window.scrollX,\n    y: rect.y + window.scrollY\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element offset\n *\n * @param el - Element\n *\n * @returns Element offset observable\n */\nexport function watchElementOffset(\n  el: HTMLElement\n): Observable<ElementOffset> {\n  return merge(\n    fromEvent(window, \"load\"),\n    fromEvent(window, \"resize\")\n  )\n    .pipe(\n      auditTime(0, animationFrameScheduler),\n      map(() => getElementOffset(el)),\n      startWith(getElementOffset(el))\n    )\n}\n\n/**\n * Watch absolute element offset\n *\n * @param el - Element\n *\n * @returns Element offset observable\n */\nexport function watchElementOffsetAbsolute(\n  el: HTMLElement\n): Observable<ElementOffset> {\n  return merge(\n    watchElementOffset(el),\n    watchElementSize(document.body) // @todo find a better way for this\n  )\n    .pipe(\n      map(() => getElementOffsetAbsolute(el)),\n      startWith(getElementOffsetAbsolute(el))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  animationFrameScheduler,\n  auditTime,\n  fromEvent,\n  map,\n  merge,\n  startWith\n} from \"rxjs\"\n\nimport { ElementOffset } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content offset (= scroll offset)\n *\n * @param el - Element\n *\n * @returns Element content offset\n */\nexport function getElementContentOffset(\n  el: HTMLElement\n): ElementOffset {\n  return {\n    x: el.scrollLeft,\n    y: el.scrollTop\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element content offset\n *\n * @param el - Element\n *\n * @returns Element content offset observable\n */\nexport function watchElementContentOffset(\n  el: HTMLElement\n): Observable<ElementOffset> {\n  return merge(\n    fromEvent(el, \"scroll\"),\n    fromEvent(window, \"scroll\"),\n    fromEvent(window, \"resize\")\n  )\n    .pipe(\n      auditTime(0, animationFrameScheduler),\n      map(() => getElementContentOffset(el)),\n      startWith(getElementContentOffset(el))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  NEVER,\n  Observable,\n  Subject,\n  defer,\n  distinctUntilChanged,\n  filter,\n  finalize,\n  map,\n  merge,\n  of,\n  shareReplay,\n  switchMap,\n  tap\n} from \"rxjs\"\n\nimport {\n  getElementContentSize,\n  getElementSize,\n  watchElementContentOffset\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Intersection observer entry subject\n */\nconst entry$ = new Subject<IntersectionObserverEntry>()\n\n/**\n * Intersection observer observable\n *\n * This observable will create an `IntersectionObserver` on first subscription\n * and will automatically terminate it when there are no more subscribers.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n  new IntersectionObserver(entries => {\n    for (const entry of entries)\n      entry$.next(entry)\n  }, {\n    threshold: 0\n  })\n))\n  .pipe(\n    switchMap(observer => merge(NEVER, of(observer))\n      .pipe(\n        finalize(() => observer.disconnect())\n      )\n    ),\n    shareReplay(1)\n  )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element visibility\n *\n * @param el - Element\n *\n * @returns Element visibility observable\n */\nexport function watchElementVisibility(\n  el: HTMLElement\n): Observable<boolean> {\n  return observer$\n    .pipe(\n      tap(observer => observer.observe(el)),\n      switchMap(observer => entry$\n        .pipe(\n          filter(({ target }) => target === el),\n          finalize(() => observer.unobserve(el)),\n          map(({ isIntersecting }) => isIntersecting)\n        )\n      )\n    )\n}\n\n/**\n * Watch element boundary\n *\n * This function returns an observable which emits whether the bottom content\n * boundary (= scroll offset) of an element is within a certain threshold.\n *\n * @param el - Element\n * @param threshold - Threshold\n *\n * @returns Element boundary observable\n */\nexport function watchElementBoundary(\n  el: HTMLElement, threshold = 16\n): Observable<boolean> {\n  return watchElementContentOffset(el)\n    .pipe(\n      map(({ y }) => {\n        const visible = getElementSize(el)\n        const content = getElementContentSize(el)\n        return y >= (\n          content.height - visible.height - threshold\n        )\n      }),\n      distinctUntilChanged()\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  fromEvent,\n  map,\n  startWith\n} from \"rxjs\"\n\nimport { getElement } from \"../element\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle\n */\nexport type Toggle =\n  | \"drawer\"                           /* Toggle for drawer */\n  | \"search\"                           /* Toggle for search */\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle map\n */\nconst toggles: Record<Toggle, HTMLInputElement> = {\n  drawer: getElement(\"[data-md-toggle=drawer]\"),\n  search: getElement(\"[data-md-toggle=search]\")\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the value of a toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value\n */\nexport function getToggle(name: Toggle): boolean {\n  return toggles[name].checked\n}\n\n/**\n * Set toggle\n *\n * Simulating a click event seems to be the most cross-browser compatible way\n * of changing the value while also emitting a `change` event. Before, Material\n * used `CustomEvent` to programmatically change the value of a toggle, but this\n * is a much simpler and cleaner solution which doesn't require a polyfill.\n *\n * @param name - Toggle\n * @param value - Toggle value\n */\nexport function setToggle(name: Toggle, value: boolean): void {\n  if (toggles[name].checked !== value)\n    toggles[name].click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value observable\n */\nexport function watchToggle(name: Toggle): Observable<boolean> {\n  const el = toggles[name]\n  return fromEvent(el, \"change\")\n    .pipe(\n      map(() => el.checked),\n      startWith(el.checked)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  filter,\n  fromEvent,\n  map,\n  merge,\n  share,\n  startWith,\n  switchMap\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../element\"\nimport { getToggle } from \"../toggle\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Keyboard mode\n */\nexport type KeyboardMode =\n  | \"global\"                           /* Global */\n  | \"search\"                           /* Search is open */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Keyboard\n */\nexport interface Keyboard {\n  mode: KeyboardMode                   /* Keyboard mode */\n  type: string                         /* Key type */\n  claim(): void                        /* Key claim */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether an element may receive keyboard input\n *\n * @param el - Element\n * @param type - Key type\n *\n * @returns Test result\n */\nfunction isSusceptibleToKeyboard(\n  el: HTMLElement, type: string\n): boolean {\n  switch (el.constructor) {\n\n    /* Input elements */\n    case HTMLInputElement:\n      /* @ts-expect-error - omit unnecessary type cast */\n      if (el.type === \"radio\")\n        return /^Arrow/.test(type)\n      else\n        return true\n\n    /* Select element and textarea */\n    case HTMLSelectElement:\n    case HTMLTextAreaElement:\n      return true\n\n    /* Everything else */\n    default:\n      return el.isContentEditable\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch composition events\n *\n * @returns Composition observable\n */\nexport function watchComposition(): Observable<boolean> {\n  return merge(\n    fromEvent(window, \"compositionstart\").pipe(map(() => true)),\n    fromEvent(window, \"compositionend\").pipe(map(() => false))\n  )\n    .pipe(\n      startWith(false)\n    )\n}\n\n/**\n * Watch keyboard\n *\n * @returns Keyboard observable\n */\nexport function watchKeyboard(): Observable<Keyboard> {\n  const keyboard$ = fromEvent<KeyboardEvent>(window, \"keydown\")\n    .pipe(\n      filter(ev => !(ev.metaKey || ev.ctrlKey)),\n      map(ev => ({\n        mode: getToggle(\"search\") ? \"search\" : \"global\",\n        type: ev.key,\n        claim() {\n          ev.preventDefault()\n          ev.stopPropagation()\n        }\n      } as Keyboard)),\n      filter(({ mode, type }) => {\n        if (mode === \"global\") {\n          const active = getActiveElement()\n          if (typeof active !== \"undefined\")\n            return !isSusceptibleToKeyboard(active, type)\n        }\n        return true\n      }),\n      share()\n    )\n\n  /* Don't emit during composition events - see https://bit.ly/3te3Wl8 */\n  return watchComposition()\n    .pipe(\n      switchMap(active => !active ? keyboard$ : EMPTY)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Subject } from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location\n *\n * This function returns a `URL` object (and not `Location`) to normalize the\n * typings across the application. Furthermore, locations need to be tracked\n * without setting them and `Location` is a singleton which represents the\n * current location.\n *\n * @returns URL\n */\nexport function getLocation(): URL {\n  return new URL(location.href)\n}\n\n/**\n * Set location\n *\n * If instant navigation is enabled, this function creates a temporary anchor\n * element, sets the `href` attribute, appends it to the body, clicks it, and\n * then removes it again. The event will bubble up the DOM and be intercepted\n * by the instant navigation event handlers.\n *\n * Note that we must append and remove the anchor element, or the event will\n * not bubble up the DOM, making it impossible to intercept it.\n *\n * @param url - URL to navigate to\n * @param navigate - Force navigation\n */\nexport function setLocation(\n  url: URL | HTMLLinkElement, navigate = false\n): void {\n  if (feature(\"navigation.instant\") && !navigate) {\n    const el = h(\"a\", { href: url.href })\n    document.body.appendChild(el)\n    el.click()\n    el.remove()\n\n  // If we're not using instant navigation, and the page should not be reloaded\n  // just instruct the browser to navigate to the given URL\n  } else {\n    location.href = url.href\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location\n *\n * @returns Location subject\n */\nexport function watchLocation(): Subject<URL> {\n  return new Subject<URL>()\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  filter,\n  fromEvent,\n  map,\n  merge,\n  shareReplay,\n  startWith\n} from \"rxjs\"\n\nimport { getOptionalElement } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location hash\n *\n * @returns Location hash\n */\nexport function getLocationHash(): string {\n  return location.hash.slice(1)\n}\n\n/**\n * Set location hash\n *\n * Setting a new fragment identifier via `location.hash` will have no effect\n * if the value doesn't change. When a new fragment identifier is set, we want\n * the browser to target the respective element at all times, which is why we\n * use this dirty little trick.\n *\n * @param hash - Location hash\n */\nexport function setLocationHash(hash: string): void {\n  const el = h(\"a\", { href: hash })\n  el.addEventListener(\"click\", ev => ev.stopPropagation())\n  el.click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location hash\n *\n * @param location$ - Location observable\n *\n * @returns Location hash observable\n */\nexport function watchLocationHash(\n  location$: Observable<URL>\n): Observable<string> {\n  return merge(\n    fromEvent<HashChangeEvent>(window, \"hashchange\"),\n    location$\n  )\n    .pipe(\n      map(getLocationHash),\n      startWith(getLocationHash()),\n      filter(hash => hash.length > 0),\n      shareReplay(1)\n    )\n}\n\n/**\n * Watch location target\n *\n * @param location$ - Location observable\n *\n * @returns Location target observable\n */\nexport function watchLocationTarget(\n  location$: Observable<URL>\n): Observable<HTMLElement> {\n  return watchLocationHash(location$)\n    .pipe(\n      map(id => getOptionalElement(`[id=\"${id}\"]`)!),\n      filter(el => typeof el !== \"undefined\")\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  fromEvent,\n  fromEventPattern,\n  map,\n  merge,\n  startWith,\n  switchMap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch media query\n *\n * Note that although `MediaQueryList.addListener` is deprecated we have to\n * use it, because it's the only way to ensure proper downward compatibility.\n *\n * @see https://bit.ly/3dUBH2m - GitHub issue\n *\n * @param query - Media query\n *\n * @returns Media observable\n */\nexport function watchMedia(query: string): Observable<boolean> {\n  const media = matchMedia(query)\n  return fromEventPattern<boolean>(next => (\n    media.addListener(() => next(media.matches))\n  ))\n    .pipe(\n      startWith(media.matches)\n    )\n}\n\n/**\n * Watch print mode\n *\n * @returns Print observable\n */\nexport function watchPrint(): Observable<boolean> {\n  const media = matchMedia(\"print\")\n  return merge(\n    fromEvent(window, \"beforeprint\").pipe(map(() => true)),\n    fromEvent(window, \"afterprint\").pipe(map(() => false))\n  )\n    .pipe(\n      startWith(media.matches)\n    )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Toggle an observable with a media observable\n *\n * @template T - Data type\n *\n * @param query$ - Media observable\n * @param factory - Observable factory\n *\n * @returns Toggled observable\n */\nexport function at<T>(\n  query$: Observable<boolean>, factory: () => Observable<T>\n): Observable<T> {\n  return query$\n    .pipe(\n      switchMap(active => active ? factory() : EMPTY)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  map,\n  shareReplay,\n  switchMap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Options\n */\ninterface Options {\n  progress$?: Subject<number>          // Progress subject\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the given URL\n *\n * This function returns an observable that emits the response as a blob and\n * completes, or emits an error if the request failed. The caller can cancel\n * the request by unsubscribing at any time, which will automatically abort\n * the inflight request and complete the observable.\n *\n * Note that we use `XMLHTTPRequest` not because we're nostalgic, but because\n * it's the only way to get progress events for downloads and also allow for\n * cancellation of requests, as the official Fetch API does not support this\n * yet, even though we're already in 2024.\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function request(\n  url: URL | string, options?: Options\n): Observable<Blob> {\n  return new Observable<Blob>(observer => {\n    const req = new XMLHttpRequest()\n    req.open(\"GET\", `${url}`)\n    req.responseType = \"blob\"\n\n    // Handle response\n    req.addEventListener(\"load\", () => {\n      if (req.status >= 200 && req.status < 300) {\n        observer.next(req.response)\n        observer.complete()\n\n      // Every response that is not in the 2xx range is considered an error\n      } else {\n        observer.error(new Error(req.statusText))\n      }\n    })\n\n    // Handle network errors\n    req.addEventListener(\"error\", () => {\n      observer.error(new Error(\"Network error\"))\n    })\n\n    // Handle aborted requests\n    req.addEventListener(\"abort\", () => {\n      observer.complete()\n    })\n\n    // Handle download progress\n    if (typeof options?.progress$ !== \"undefined\") {\n      req.addEventListener(\"progress\", event => {\n        if (event.lengthComputable) {\n          options.progress$!.next((event.loaded / event.total) * 100)\n\n        // Hack: Chromium doesn't report the total number of bytes if content\n        // is compressed, so we need this fallback - see https://t.ly/ZXofI\n        } else {\n          const length = req.getResponseHeader(\"Content-Length\") ?? 0\n          options.progress$!.next((event.loaded / +length) * 100)\n        }\n      })\n\n      // Immediately set progress to 5% to indicate that we're loading\n      options.progress$.next(5)\n    }\n\n    // Send request and automatically abort request upon unsubscription\n    req.send()\n    return () => req.abort()\n  })\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Fetch JSON from the given URL\n *\n * @template T - Data type\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestJSON<T>(\n  url: URL | string, options?: Options\n): Observable<T> {\n  return request(url, options)\n    .pipe(\n      switchMap(res => res.text()),\n      map(body => JSON.parse(body) as T),\n      shareReplay(1)\n    )\n}\n\n/**\n * Fetch HTML from the given URL\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestHTML(\n  url: URL | string, options?: Options\n): Observable<Document> {\n  const dom = new DOMParser()\n  return request(url, options)\n    .pipe(\n      switchMap(res => res.text()),\n      map(res => dom.parseFromString(res, \"text/html\")),\n      shareReplay(1)\n    )\n}\n\n/**\n * Fetch XML from the given URL\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestXML(\n  url: URL | string, options?: Options\n): Observable<Document> {\n  const dom = new DOMParser()\n  return request(url, options)\n    .pipe(\n      switchMap(res => res.text()),\n      map(res => dom.parseFromString(res, \"text/xml\")),\n      shareReplay(1)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  fromEvent,\n  map,\n  merge,\n  startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport offset\n */\nexport interface ViewportOffset {\n  x: number                            /* Horizontal offset */\n  y: number                            /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport offset\n *\n * On iOS Safari, viewport offset can be negative due to overflow scrolling.\n * As this may induce strange behaviors downstream, we'll just limit it to 0.\n *\n * @returns Viewport offset\n */\nexport function getViewportOffset(): ViewportOffset {\n  return {\n    x: Math.max(0, scrollX),\n    y: Math.max(0, scrollY)\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport offset\n *\n * @returns Viewport offset observable\n */\nexport function watchViewportOffset(): Observable<ViewportOffset> {\n  return merge(\n    fromEvent(window, \"scroll\", { passive: true }),\n    fromEvent(window, \"resize\", { passive: true })\n  )\n    .pipe(\n      map(getViewportOffset),\n      startWith(getViewportOffset())\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  fromEvent,\n  map,\n  startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport size\n */\nexport interface ViewportSize {\n  width: number                        /* Viewport width */\n  height: number                       /* Viewport height */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport size\n *\n * @returns Viewport size\n */\nexport function getViewportSize(): ViewportSize {\n  return {\n    width:  innerWidth,\n    height: innerHeight\n  }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport size\n *\n * @returns Viewport size observable\n */\nexport function watchViewportSize(): Observable<ViewportSize> {\n  return fromEvent(window, \"resize\", { passive: true })\n    .pipe(\n      map(getViewportSize),\n      startWith(getViewportSize())\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  combineLatest,\n  map,\n  shareReplay\n} from \"rxjs\"\n\nimport {\n  ViewportOffset,\n  watchViewportOffset\n} from \"../offset\"\nimport {\n  ViewportSize,\n  watchViewportSize\n} from \"../size\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport\n */\nexport interface Viewport {\n  offset: ViewportOffset               /* Viewport offset */\n  size: ViewportSize                   /* Viewport size */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport\n *\n * @returns Viewport observable\n */\nexport function watchViewport(): Observable<Viewport> {\n  return combineLatest([\n    watchViewportOffset(),\n    watchViewportSize()\n  ])\n    .pipe(\n      map(([offset, size]) => ({ offset, size })),\n      shareReplay(1)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  combineLatest,\n  distinctUntilKeyChanged,\n  map\n} from \"rxjs\"\n\nimport { Header } from \"~/components\"\n\nimport { getElementOffset } from \"../../element\"\nimport { Viewport } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport relative to element\n *\n * @param el - Element\n * @param options - Options\n *\n * @returns Viewport observable\n */\nexport function watchViewportAt(\n  el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable<Viewport> {\n  const size$ = viewport$\n    .pipe(\n      distinctUntilKeyChanged(\"size\")\n    )\n\n  /* Compute element offset */\n  const offset$ = combineLatest([size$, header$])\n    .pipe(\n      map(() => getElementOffset(el))\n    )\n\n  /* Compute relative viewport, return hot observable */\n  return combineLatest([header$, viewport$, offset$])\n    .pipe(\n      map(([{ height }, { offset, size }, { x, y }]) => ({\n        offset: {\n          x: offset.x - x,\n          y: offset.y - y + height\n        },\n        size\n      }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  endWith,\n  fromEvent,\n  ignoreElements,\n  mergeWith,\n  share,\n  takeUntil\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Worker message\n */\nexport interface WorkerMessage {\n  type: unknown                        /* Message type */\n  data?: unknown                       /* Message data */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create an observable for receiving from a web worker\n *\n * @template T - Data type\n *\n * @param worker - Web worker\n *\n * @returns Message observable\n */\nfunction recv<T>(worker: Worker): Observable<T> {\n  return fromEvent<MessageEvent<T>, T>(worker, \"message\", ev => ev.data)\n}\n\n/**\n * Create a subject for sending to a web worker\n *\n * @template T - Data type\n *\n * @param worker - Web worker\n *\n * @returns Message subject\n */\nfunction send<T>(worker: Worker): Subject<T> {\n  const send$ = new Subject<T>()\n  send$.subscribe(data => worker.postMessage(data))\n\n  /* Return message subject */\n  return send$\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a bidirectional communication channel to a web worker\n *\n * @template T - Data type\n *\n * @param url - Worker URL\n * @param worker - Worker\n *\n * @returns Worker subject\n */\nexport function watchWorker<T extends WorkerMessage>(\n  url: string, worker = new Worker(url)\n): Subject<T> {\n  const recv$ = recv<T>(worker)\n  const send$ = send<T>(worker)\n\n  /* Create worker subject and forward messages */\n  const worker$ = new Subject<T>()\n  worker$.subscribe(send$)\n\n  /* Return worker subject */\n  const done$ = send$.pipe(ignoreElements(), endWith(true))\n  return worker$\n    .pipe(\n      ignoreElements(),\n      mergeWith(recv$.pipe(takeUntil(done$))),\n      share()\n    ) as Subject<T>\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getLocation } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Feature flag\n */\nexport type Flag =\n  | \"announce.dismiss\"                 /* Dismissable announcement bar */\n  | \"content.code.annotate\"            /* Code annotations */\n  | \"content.code.copy\"                /* Code copy button */\n  | \"content.code.select\"              /* Code selection */\n  | \"content.footnote.tooltips\"        /* Footnote tooltips */\n  | \"content.lazy\"                     /* Lazy content elements */\n  | \"content.tabs.link\"                /* Link content tabs */\n  | \"content.tooltips\"                 /* Tooltips */\n  | \"header.autohide\"                  /* Hide header */\n  | \"navigation.expand\"                /* Automatic expansion */\n  | \"navigation.indexes\"               /* Section pages */\n  | \"navigation.instant\"               /* Instant navigation */\n  | \"navigation.instant.prefetch\"      /* Instant navigation prefetching */\n  | \"navigation.instant.progress\"      /* Instant navigation progress */\n  | \"navigation.instant.preview\"       /* Instant preview */\n  | \"navigation.sections\"              /* Section navigation */\n  | \"navigation.tabs\"                  /* Tabs navigation */\n  | \"navigation.tabs.sticky\"           /* Tabs navigation (sticky) */\n  | \"navigation.top\"                   /* Back-to-top button */\n  | \"navigation.tracking\"              /* Anchor tracking */\n  | \"search.highlight\"                 /* Search highlighting */\n  | \"search.share\"                     /* Search sharing */\n  | \"search.suggest\"                   /* Search suggestions */\n  | \"toc.follow\"                       /* Following table of contents */\n  | \"toc.integrate\"                    /* Integrated table of contents */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Translation\n */\nexport type Translation =\n  | \"clipboard.copy\"                   /* Copy to clipboard */\n  | \"clipboard.copied\"                 /* Copied to clipboard */\n  | \"search.result.placeholder\"        /* Type to start searching */\n  | \"search.result.none\"               /* No matching documents */\n  | \"search.result.one\"                /* 1 matching document */\n  | \"search.result.other\"              /* # matching documents */\n  | \"search.result.more.one\"           /* 1 more on this page */\n  | \"search.result.more.other\"         /* # more on this page */\n  | \"search.result.term.missing\"       /* Missing */\n  | \"select.version\"                   /* Version selector */\n\n/**\n * Translations\n */\nexport type Translations =\n  Record<Translation, string>\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Versioning\n */\nexport interface Versioning {\n  provider: \"mike\"                     /* Version provider */\n  default?: string | string[]          /* Default version */\n  alias?: boolean                      /* Show alias */\n}\n\n/**\n * Configuration\n */\nexport interface Config {\n  base: string                         /* Base URL */\n  features: Flag[]                     /* Feature flags */\n  translations: Translations           /* Translations */\n  search: string                       /* Search worker URL */\n  annotate?: Record<string, string[]>  /* Annotation mappings */\n  tags?: Record<string, string>        /* Tags mapping */\n  version?: Versioning                 /* Versioning */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration and make base URL absolute\n */\nconst script = getElement(\"#__config\")\nconst config: Config = JSON.parse(script.textContent!)\nconfig.base = `${new URL(config.base, getLocation())}`\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration\n *\n * @returns Global configuration\n */\nexport function configuration(): Config {\n  return config\n}\n\n/**\n * Check whether a feature flag is enabled\n *\n * @param flag - Feature flag\n *\n * @returns Test result\n */\nexport function feature(flag: Flag): boolean {\n  return config.features.includes(flag)\n}\n\n/**\n * Retrieve the translation for the given key\n *\n * @param key - Key to be translated\n * @param value - Positional value, if any\n *\n * @returns Translation\n */\nexport function translation(\n  key: Translation, value?: string | number\n): string {\n  return typeof value !== \"undefined\"\n    ? config.translations[key].replace(\"#\", value.toString())\n    : config.translations[key]\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type\n */\nexport type ComponentType =\n  | \"announce\"                         /* Announcement bar */\n  | \"container\"                        /* Container */\n  | \"consent\"                          /* Consent */\n  | \"content\"                          /* Content */\n  | \"dialog\"                           /* Dialog */\n  | \"header\"                           /* Header */\n  | \"header-title\"                     /* Header title */\n  | \"header-topic\"                     /* Header topic */\n  | \"main\"                             /* Main area */\n  | \"outdated\"                         /* Version warning */\n  | \"palette\"                          /* Color palette */\n  | \"progress\"                         /* Progress indicator */\n  | \"search\"                           /* Search */\n  | \"search-query\"                     /* Search input */\n  | \"search-result\"                    /* Search results */\n  | \"search-share\"                     /* Search sharing */\n  | \"search-suggest\"                   /* Search suggestions */\n  | \"sidebar\"                          /* Sidebar */\n  | \"skip\"                             /* Skip link */\n  | \"source\"                           /* Repository information */\n  | \"tabs\"                             /* Navigation tabs */\n  | \"toc\"                              /* Table of contents */\n  | \"top\"                              /* Back-to-top button */\n\n/**\n * Component\n *\n * @template T - Component type\n * @template U - Reference type\n */\nexport type Component<\n  T extends {} = {},\n  U extends HTMLElement = HTMLElement\n> =\n  T & {\n    ref: U                             /* Component reference */\n  }\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type map\n */\ninterface ComponentTypeMap {\n  \"announce\": HTMLElement              /* Announcement bar */\n  \"container\": HTMLElement             /* Container */\n  \"consent\": HTMLElement               /* Consent */\n  \"content\": HTMLElement               /* Content */\n  \"dialog\": HTMLElement                /* Dialog */\n  \"header\": HTMLElement                /* Header */\n  \"header-title\": HTMLElement          /* Header title */\n  \"header-topic\": HTMLElement          /* Header topic */\n  \"main\": HTMLElement                  /* Main area */\n  \"outdated\": HTMLElement              /* Version warning */\n  \"palette\": HTMLElement               /* Color palette */\n  \"progress\": HTMLElement              /* Progress indicator */\n  \"search\": HTMLElement                /* Search */\n  \"search-query\": HTMLInputElement     /* Search input */\n  \"search-result\": HTMLElement         /* Search results */\n  \"search-share\": HTMLAnchorElement    /* Search sharing */\n  \"search-suggest\": HTMLElement        /* Search suggestions */\n  \"sidebar\": HTMLElement               /* Sidebar */\n  \"skip\": HTMLAnchorElement            /* Skip link */\n  \"source\": HTMLAnchorElement          /* Repository information */\n  \"tabs\": HTMLElement                  /* Navigation tabs */\n  \"toc\": HTMLElement                   /* Table of contents */\n  \"top\": HTMLAnchorElement             /* Back-to-top button */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the element for a given component or throw a reference error\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getComponentElement<T extends ComponentType>(\n  type: T, node: ParentNode = document\n): ComponentTypeMap[T] {\n  return getElement(`[data-md-component=${type}]`, node)\n}\n\n/**\n * Retrieve all elements for a given component\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getComponentElements<T extends ComponentType>(\n  type: T, node: ParentNode = document\n): ComponentTypeMap[T][] {\n  return getElements(`[data-md-component=${type}]`, node)\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  defer,\n  finalize,\n  fromEvent,\n  map,\n  tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Announcement bar\n */\nexport interface Announce {\n  hash: number                        /* Content hash */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar observable\n */\nexport function watchAnnounce(\n  el: HTMLElement\n): Observable<Announce> {\n  const button = getElement(\".md-typeset > :first-child\", el)\n  return fromEvent(button, \"click\", { once: true })\n    .pipe(\n      map(() => getElement(\".md-typeset\", el)),\n      map(content => ({ hash: __md_hash(content.innerHTML) }))\n    )\n}\n\n/**\n * Mount announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar component observable\n */\nexport function mountAnnounce(\n  el: HTMLElement\n): Observable<Component<Announce>> {\n  if (!feature(\"announce.dismiss\") || !el.childElementCount)\n    return EMPTY\n\n  /* Support instant navigation - see https://t.ly/3FTme */\n  if (!el.hidden) {\n    const content = getElement(\".md-typeset\", el)\n    if (__md_hash(content.innerHTML) === __md_get(\"__announce\"))\n      el.hidden = true\n  }\n\n  /* Mount component on subscription */\n  return defer(() => {\n    const push$ = new Subject<Announce>()\n    push$.subscribe(({ hash }) => {\n      el.hidden = true\n\n      /* Persist preference in local storage */\n      __md_set<number>(\"__announce\", hash)\n    })\n\n    /* Create and return component */\n    return watchAnnounce(el)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  finalize,\n  map,\n  tap\n} from \"rxjs\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Consent\n */\nexport interface Consent {\n  hidden: boolean                      /* Consent is hidden */\n}\n\n/**\n * Consent defaults\n */\nexport interface ConsentDefaults {\n  analytics?: boolean                  /* Consent for Analytics */\n  github?: boolean                     /* Consent for GitHub */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  target$: Observable<HTMLElement>     /* Target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent observable\n */\nexport function watchConsent(\n  el: HTMLElement, { target$ }: WatchOptions\n): Observable<Consent> {\n  return target$\n    .pipe(\n      map(target => ({ hidden: target !== el }))\n    )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent component observable\n */\nexport function mountConsent(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<Consent>> {\n  const internal$ = new Subject<Consent>()\n  internal$.subscribe(({ hidden }) => {\n    el.hidden = hidden\n  })\n\n  /* Create and return component */\n  return watchConsent(el, options)\n    .pipe(\n      tap(state => internal$.next(state)),\n      finalize(() => internal$.complete()),\n      map(state => ({ ref: el, ...state }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ComponentChild } from \"preact\"\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tooltip style\n */\nexport type TooltipStyle =\n  | \"inline\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a tooltip\n *\n * @param id - Tooltip identifier\n * @param style - Tooltip style\n *\n * @returns Element\n */\nexport function renderTooltip(\n  id?: string, style?: TooltipStyle\n): HTMLElement {\n  if (style === \"inline\") { // @todo refactor control flow\n    return (\n      <div class=\"md-tooltip md-tooltip--inline\" id={id} role=\"tooltip\">\n        <div class=\"md-tooltip__inner md-typeset\"></div>\n      </div>\n    )\n  } else {\n    return (\n      <div class=\"md-tooltip\" id={id} role=\"tooltip\">\n        <div class=\"md-tooltip__inner md-typeset\"></div>\n      </div>\n    )\n  }\n}\n\n/**\n * Render a tooltip\n *\n * @param children - Child nodes\n *\n * @returns Element\n */\nexport function renderTooltip2(\n  ...children: ComponentChild[]\n): HTMLElement {\n  return (\n    <div class=\"md-tooltip2\" role=\"dialog\">\n      <div class=\"md-tooltip2__inner md-typeset\">\n        {children}\n      </div>\n    </div>\n  )\n}\n\n// @todo: rename\nexport function renderInlineTooltip2(\n  ...children: ComponentChild[]\n): HTMLElement {\n  return (\n    <div class=\"md-tooltip2\" role=\"tooltip\">\n      <div class=\"md-tooltip2__inner md-typeset\">\n        {children}\n      </div>\n    </div>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\nimport { renderTooltip } from \"../tooltip\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render an annotation\n *\n * @param id - Annotation identifier\n * @param prefix - Tooltip identifier prefix\n *\n * @returns Element\n */\nexport function renderAnnotation(\n  id: string | number, prefix?: string\n): HTMLElement {\n  prefix = prefix ? `${prefix}_annotation_${id}` : undefined\n\n  /* Render tooltip with anchor, if given */\n  if (prefix) {\n    const anchor = prefix ? `#${prefix}` : undefined\n    return (\n      <aside class=\"md-annotation\" tabIndex={0}>\n        {renderTooltip(prefix)}\n        <a href={anchor} class=\"md-annotation__index\" tabIndex={-1}>\n          <span data-md-annotation-id={id}></span>\n        </a>\n      </aside>\n    )\n  } else {\n    return (\n      <aside class=\"md-annotation\" tabIndex={0}>\n        {renderTooltip(prefix)}\n        <span class=\"md-annotation__index\" tabIndex={-1}>\n          <span data-md-annotation-id={id}></span>\n        </span>\n      </aside>\n    )\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a 'copy-to-clipboard' button\n *\n * @param id - Unique identifier\n *\n * @returns Element\n */\nexport function renderClipboardButton(id: string): HTMLElement {\n  return (\n    <button\n      class=\"md-code__button\"\n      title={translation(\"clipboard.copy\")}\n      data-clipboard-target={`#${id} > code`}\n      data-md-type=\"copy\"\n    ></button>\n  )\n}\n\nexport function renderSelectionButton(): HTMLElement {\n  return (\n    <button\n      class=\"md-code__button\"\n      title=\"Toggle line selection\"\n      data-md-type=\"select\"\n    ></button>\n  )\n}\n\nexport function renderCodeBlockNavigation() {\n  return (\n    <nav class=\"md-code__nav\"></nav>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\nimport { ComponentChild } from \"preact\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport { SearchItem } from \"~/integrations/search\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Render flag\n */\nconst enum Flag {\n  TEASER = 1,                          /* Render teaser */\n  PARENT = 2                           /* Render as parent */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper function\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search document\n *\n * @param document - Search document\n * @param flag - Render flags\n *\n * @returns Element\n */\nfunction renderSearchDocument(\n  document: SearchItem, flag: Flag\n): HTMLElement {\n  const parent = flag & Flag.PARENT\n  const teaser = flag & Flag.TEASER\n\n  /* Render missing query terms */\n  const missing = Object.keys(document.terms)\n    .filter(key => !document.terms[key])\n    .reduce<ComponentChild[]>((list, key) => [\n      ...list, <del>{escapeHTML(key)}</del>, \" \"\n    ], [])\n    .slice(0, -1)\n\n  /* Assemble query string for highlighting */\n  const config = configuration()\n  const url = new URL(document.location, config.base)\n  if (feature(\"search.highlight\"))\n    url.searchParams.set(\"h\", Object.entries(document.terms)\n      .filter(([, match]) => match)\n      .reduce((highlight, [value]) => `${highlight} ${value}`.trim(), \"\")\n    )\n\n  /* Render article or section, depending on flags */\n  const { tags } = configuration()\n  return (\n    <a href={`${url}`} class=\"md-search-result__link\" tabIndex={-1}>\n      <article\n        class=\"md-search-result__article md-typeset\"\n        data-md-score={document.score.toFixed(2)}\n      >\n        {parent > 0 && <div class=\"md-search-result__icon md-icon\"></div>}\n        {parent > 0 && <h1>{document.title}</h1>}\n        {parent <= 0 && <h2>{document.title}</h2>}\n        {teaser > 0 && document.text.length > 0 &&\n          document.text\n        }\n        {document.tags && (\n          <nav class=\"md-tags\">\n            {document.tags.map(tag => {\n              const type = tags\n                ? tag in tags\n                  ? `md-tag-icon md-tag--${tags[tag]}`\n                  : \"md-tag-icon\"\n                : \"\"\n              return (\n                <span class={`md-tag ${type}`}>{tag}</span>\n              )\n            })}\n          </nav>\n        )}\n        {teaser > 0 && missing.length > 0 &&\n          <p class=\"md-search-result__terms\">\n            {translation(\"search.result.term.missing\")}: {...missing}\n          </p>\n        }\n      </article>\n    </a>\n  )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search result\n *\n * @param result - Search result\n *\n * @returns Element\n */\nexport function renderSearchResultItem(\n  result: SearchItem[]\n): HTMLElement {\n  const threshold = result[0].score\n  const docs = [...result]\n\n  const config = configuration()\n\n  /* Find and extract parent article */\n  const parent = docs.findIndex(doc => {\n    const l = `${new URL(doc.location, config.base)}` // @todo hacky\n    return !l.includes(\"#\")\n  })\n  const [article] = docs.splice(parent, 1)\n\n  /* Determine last index above threshold */\n  let index = docs.findIndex(doc => doc.score < threshold)\n  if (index === -1)\n    index = docs.length\n\n  /* Partition sections */\n  const best = docs.slice(0, index)\n  const more = docs.slice(index)\n\n  /* Render children */\n  const children = [\n    renderSearchDocument(article, Flag.PARENT | +(!parent && index === 0)),\n    ...best.map(section => renderSearchDocument(section, Flag.TEASER)),\n    ...more.length ? [\n      <details class=\"md-search-result__more\">\n        <summary tabIndex={-1}>\n          <div>\n            {more.length > 0 && more.length === 1\n              ? translation(\"search.result.more.one\")\n              : translation(\"search.result.more.other\", more.length)\n            }\n          </div>\n        </summary>\n        {...more.map(section => renderSearchDocument(section, Flag.TEASER))}\n      </details>\n    ] : []\n  ]\n\n  /* Render search result */\n  return (\n    <li class=\"md-search-result__item\">\n      {children}\n    </li>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SourceFacts } from \"~/components\"\nimport { h, round } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render repository facts\n *\n * @param facts - Repository facts\n *\n * @returns Element\n */\nexport function renderSourceFacts(facts: SourceFacts): HTMLElement {\n  return (\n    <ul class=\"md-source__facts\">\n      {Object.entries(facts).map(([key, value]) => (\n        <li class={`md-source__fact md-source__fact--${key}`}>\n          {typeof value === \"number\" ? round(value) : value}\n        </li>\n      ))}\n    </ul>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tabbed control type\n */\ntype TabbedControlType =\n  | \"prev\"\n  | \"next\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render control for content tabs\n *\n * @param type - Control type\n *\n * @returns Element\n */\nexport function renderTabbedControl(\n  type: TabbedControlType\n): HTMLElement {\n  const classes = `tabbed-control tabbed-control--${type}`\n  return (\n    <div class={classes} hidden>\n      <button class=\"tabbed-button\" tabIndex={-1} aria-hidden=\"true\"></button>\n    </div>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a table inside a wrapper to improve scrolling on mobile\n *\n * @param table - Table element\n *\n * @returns Element\n */\nexport function renderTable(table: HTMLElement): HTMLElement {\n  return (\n    <div class=\"md-typeset__scrollwrap\">\n      <div class=\"md-typeset__table\">\n        {table}\n      </div>\n    </div>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { configuration, translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Version properties\n */\nexport interface VersionProperties {\n  hidden?: boolean                     /* Version is hidden */\n}\n\n/**\n * Version\n */\nexport interface Version {\n  version: string                      /* Version identifier */\n  title: string                        /* Version title */\n  aliases: string[]                    /* Version aliases */\n  properties?: VersionProperties       /* Version properties */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version\n *\n * @param version - Version\n *\n * @returns Element\n */\nfunction renderVersion(version: Version): HTMLElement {\n  const config = configuration()\n\n  /* Ensure trailing slash - see https://bit.ly/3rL5u3f */\n  const url = new URL(`../${version.version}/`, config.base)\n  return (\n    <li class=\"md-version__item\">\n      <a href={`${url}`} class=\"md-version__link\">\n        {version.title}\n        {config.version?.alias && version.aliases.length > 0 && (\n          <span class=\"md-version__alias\">\n            {version.aliases[0]}\n          </span>\n        )}\n      </a>\n    </li>\n  )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version selector\n *\n * @param versions - Versions\n * @param active - Active version\n *\n * @returns Element\n */\nexport function renderVersionSelector(\n  versions: Version[], active: Version\n): HTMLElement {\n  const config = configuration()\n  versions = versions.filter(version => !version.properties?.hidden)\n  return (\n    <div class=\"md-version\">\n      <button\n        class=\"md-version__current\"\n        aria-label={translation(\"select.version\")}\n      >\n        {active.title}\n        {config.version?.alias && active.aliases.length > 0 && (\n          <span class=\"md-version__alias\">\n            {active.aliases[0]}\n          </span>\n        )}\n      </button>\n      <ul class=\"md-version__list\">\n        {versions.map(renderVersion)}\n      </ul>\n    </div>\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  BehaviorSubject,\n  EMPTY,\n  Observable,\n  Subject,\n  animationFrameScheduler,\n  combineLatest,\n  combineLatestWith,\n  debounce,\n  defer,\n  distinctUntilChanged,\n  endWith,\n  filter,\n  finalize,\n  first,\n  ignoreElements,\n  map,\n  mergeMap,\n  observeOn,\n  queueScheduler,\n  share,\n  startWith,\n  switchMap,\n  tap,\n  throttleTime,\n  timer,\n  withLatestFrom\n} from \"rxjs\"\n\nimport {\n  ElementOffset,\n  Viewport,\n  getElement,\n  getElementContainers,\n  getElementOffsetAbsolute,\n  getElementSize,\n  watchElementContentOffset,\n  watchElementFocus,\n  watchElementHover\n} from \"~/browser\"\nimport { renderInlineTooltip2 } from \"~/templates\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tooltip\n */\nexport interface Tooltip {\n  active: boolean                      // Tooltip is active\n  offset: ElementOffset                // Tooltip offset\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dependencies\n */\ninterface Dependencies {\n  content$: Observable<HTMLElement>    // Tooltip content observable\n  viewport$: Observable<Viewport>      // Viewport observable\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for tooltips\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch tooltip\n *\n * This function tracks the tooltip host element, and deduces the active state\n * and offset of the tooltip from it. The active state is determined by whether\n * the host element is focused or hovered, and the offset is determined by the\n * host element's absolute position in the document.\n *\n * @param el - Tooltip host element\n * @param timeout - Timeout\n *\n * @returns Tooltip observable\n */\nexport function watchTooltip2(\n  el: HTMLElement, timeout = 250\n): Observable<Tooltip> {\n\n  // Compute whether tooltip should be shown - we need to watch both focus and\n  // hover events on the host element and emit if one of them is active. In case\n  // of a hover event, we keep the element visible for a short amount of time\n  // after the pointer left the host element for a better user experience.\n  const active$ =\n    combineLatest([\n      watchElementFocus(el),\n      watchElementHover(el, timeout)\n    ])\n      .pipe(\n        map(([focus, hover]) => focus || hover),\n        distinctUntilChanged()\n      )\n\n  // We need to determine all parent elements of the host element that are\n  // currently scrollable, as they might affect the position of the tooltip\n  // depending on their horizontal of vertical offset. We must track all of\n  // them and recompute the position of the tooltip if they change.\n  const offset$ =\n    defer(() => getElementContainers(el)).pipe(\n      mergeMap(watchElementContentOffset),\n      throttleTime(1),\n      // Note that we need to poll the value again if the active state changes,\n      // as otherwise the tooltip might be misplaced. This particularly happens\n      // when using third-party integrations like tablesort that change the\n      // position of elements \u2013 see https://t.ly/Y-V7X\n      combineLatestWith(active$),\n      map(() => getElementOffsetAbsolute(el)),\n    )\n\n  // Only track parent elements and compute offset of the tooltip host if the\n  // tooltip should be shown - we defer the computation of the offset until the\n  // tooltip becomes active for the first time. This is necessary, because we\n  // must also keep the tooltip active as long as it is focused or hovered.\n  return active$.pipe(\n    first(active => active),\n    switchMap(() => combineLatest([active$, offset$])),\n    map(([active, offset]) => ({ active, offset })),\n    share()\n  )\n}\n\n/**\n * Mount tooltip\n *\n * This function renders a tooltip with the content from the provided `content$`\n * observable as passed via the dependencies. If the returned element has a role\n * of type `dialog`, the tooltip is considered to be interactive, and rendered\n * either above or below the host element, depending on the available space.\n *\n * If the returned element has a role of type `tooltip`, the tooltip is always\n * rendered below the host element and considered to be non-interactive. This\n * allows us to reuse the same positioning logic for both interactive and\n * non-interactive tooltips, as it is largely the same.\n *\n * @param el - Tooltip host element\n * @param dependencies - Dependencies\n * @param timeout - Timeout @todo move into options\n *\n * @returns Tooltip component observable\n */\nexport function mountTooltip2(\n  el: HTMLElement, dependencies: Dependencies, timeout = 250\n): Observable<Component<Tooltip>> {\n  const { content$, viewport$ } = dependencies\n\n  // Compute unique tooltip id - this is necessary to associate the tooltip host\n  // element with the tooltip element for ARIA purposes\n  const id = `__tooltip2_${sequence++}`\n\n  // Create component on subscription\n  return defer(() => {\n    const push$ = new Subject<Tooltip>()\n\n    // Create subject to track tooltip presence and visibility - we use another\n    // purely internal subject to track the tooltip's presence and visibility,\n    // as the tooltip should be visible if the host element or tooltip itself\n    // is focused or hovered to allow for smooth pointer migration\n    const show$ = new BehaviorSubject(false)\n    push$.pipe(ignoreElements(), endWith(false))\n      .subscribe(show$)\n\n    // Create observable controlling tooltip element - we create and attach the\n    // tooltip only if it is actually present, in order to keep the number of\n    // elements low. We need to keep the tooltip visible for a short time after\n    // the pointer left the host element or tooltip itself. For this, we use an\n    // inner subscription to the tooltip observable, which we terminate when the\n    // tooltip should not be shown, automatically removing the element. Moreover\n    // we use the queue scheduler, which will schedule synchronously in case the\n    // tooltip should be shown, and asynchronously if it should be hidden.\n    const node$ = show$.pipe(\n      debounce(active => timer(+!active * 250, queueScheduler)),\n      distinctUntilChanged(),\n      switchMap(active => active ? content$ : EMPTY),\n      tap(node => node.id = id),\n      share()\n    )\n\n    // Compute tooltip presence and visibility - the tooltip should be shown if\n    // the host element or the tooltip itself is focused or hovered\n    combineLatest([\n      push$.pipe(map(({ active }) => active)),\n      node$.pipe(\n        switchMap(node => watchElementHover(node, 250)),\n        startWith(false)\n      )\n    ])\n      .pipe(map(states => states.some(active => active)))\n      .subscribe(show$)\n\n    // Compute tooltip origin - we need to compute the tooltip origin depending\n    // on the position of the host element, the viewport size, as well as the\n    // actual size of the tooltip, if positioned above. The tooltip must about\n    // to be rendered for this to be correct, which is why we do it here.\n    const origin$ = show$.pipe(\n      filter(active => active),\n      withLatestFrom(node$, viewport$),\n      map(([_, node, { size }]) => {\n        const host = el.getBoundingClientRect()\n        const x = host.width / 2\n\n        // If the tooltip is non-interactive, we always render it below the\n        // actual element because all operating systems do it that way\n        if (node.role === \"tooltip\") {\n          return { x, y: 8 + host.height }\n\n        // Otherwise, we determine where there is more space, and render the\n        // tooltip either above or below the host element\n        } else if (host.y >= size.height / 2) {\n          const { height } = getElementSize(node)\n          return { x, y: -16 - height }\n        } else {\n          return { x, y: +16 + host.height }\n        }\n      })\n    )\n\n    // Update tooltip position - we always need to update the position of the\n    // tooltip, as it might change depending on the viewport offset of the host\n    combineLatest([node$, push$, origin$])\n      .subscribe(([node, { offset }, origin]) => {\n        node.style.setProperty(\"--md-tooltip-host-x\", `${offset.x}px`)\n        node.style.setProperty(\"--md-tooltip-host-y\", `${offset.y}px`)\n\n        // Update tooltip origin - this is mainly set to determine the position\n        // of the tooltip tail, to show the direction it is originating from\n        node.style.setProperty(\"--md-tooltip-x\", `${origin.x}px`)\n        node.style.setProperty(\"--md-tooltip-y\", `${origin.y}px`)\n\n        // Update tooltip render location, i.e., whether the tooltip is shown\n        // above or below the host element, depending on the available space\n        node.classList.toggle(\"md-tooltip2--top\",    origin.y <  0)\n        node.classList.toggle(\"md-tooltip2--bottom\", origin.y >= 0)\n      })\n\n    // Update tooltip width - we only explicitly set the width of the tooltip\n    // if it is non-interactive, in case it should always be rendered centered\n    show$.pipe(\n      filter(active => active),\n      withLatestFrom(node$, (_, node) => node),\n      filter(node => node.role === \"tooltip\")\n    )\n      .subscribe(node => {\n        const size = getElementSize(getElement(\":scope > *\", node))\n\n        // Set tooltip width and remove tail by setting it to a width of zero -\n        // if authors want to keep the tail, we can move this to CSS later\n        node.style.setProperty(\"--md-tooltip-width\", `${size.width}px`)\n        node.style.setProperty(\"--md-tooltip-tail\",  `${0}px`)\n      })\n\n    // Update tooltip visibility - we defer to the next animation frame, because\n    // the tooltip must first be added to the document before we make it appear,\n    // or it will appear instantly without delay. Additionally, we need to keep\n    // the tooltip visible for a short time after the pointer left the host.\n    show$.pipe(\n      distinctUntilChanged(),\n      observeOn(animationFrameScheduler),\n      withLatestFrom(node$)\n    )\n      .subscribe(([active, node]) => {\n        node.classList.toggle(\"md-tooltip2--active\", active)\n      })\n\n    // Set up ARIA attributes when tooltip is visible\n    combineLatest([\n      show$.pipe(filter(active => active)),\n      node$\n    ])\n      .subscribe(([_, node]) => {\n        if (node.role === \"dialog\") {\n          el.setAttribute(\"aria-controls\", id)\n          el.setAttribute(\"aria-haspopup\", \"dialog\")\n        } else {\n          el.setAttribute(\"aria-describedby\", id)\n        }\n      })\n\n    // Remove ARIA attributes when tooltip is hidden\n    show$.pipe(filter(active => !active))\n      .subscribe(() => {\n        el.removeAttribute(\"aria-controls\")\n        el.removeAttribute(\"aria-describedby\")\n        el.removeAttribute(\"aria-haspopup\")\n      })\n\n    // Create and return component\n    return watchTooltip2(el, timeout)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n\n// ----------------------------------------------------------------------------\n\n/**\n * Mount inline tooltip\n *\n * @todo refactor this function\n *\n * @param el - Tooltip host element\n * @param dependencies - Dependencies\n * @param container - Container\n *\n * @returns Tooltip component observable\n */\nexport function mountInlineTooltip2(\n  el: HTMLElement, { viewport$ }: { viewport$: Observable<Viewport> },\n  container = document.body\n): Observable<Component<Tooltip>> {\n  return mountTooltip2(el, {\n    content$: new Observable<HTMLElement>(observer => {\n      const title = el.title\n      const node = renderInlineTooltip2(title)\n      observer.next(node)\n      el.removeAttribute(\"title\")\n      // Append tooltip and remove on unsubscription\n      container.append(node)\n      return () => {\n        node.remove()\n        el.setAttribute(\"title\", title)\n      }\n    }),\n    viewport$\n  }, 0)\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  animationFrameScheduler,\n  auditTime,\n  combineLatest,\n  debounceTime,\n  defer,\n  delay,\n  endWith,\n  filter,\n  finalize,\n  fromEvent,\n  ignoreElements,\n  map,\n  merge,\n  switchMap,\n  take,\n  takeUntil,\n  tap,\n  throttleTime,\n  withLatestFrom\n} from \"rxjs\"\n\nimport {\n  ElementOffset,\n  getActiveElement,\n  getElementSize,\n  watchElementContentOffset,\n  watchElementFocus,\n  watchElementOffset,\n  watchElementVisibility\n} from \"~/browser\"\n\nimport { Component } from \"../../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Annotation\n */\nexport interface Annotation {\n  active: boolean                      /* Annotation is active */\n  offset: ElementOffset                /* Annotation offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n *\n * @returns Annotation observable\n */\nexport function watchAnnotation(\n  el: HTMLElement, container: HTMLElement\n): Observable<Annotation> {\n  const offset$ = defer(() => combineLatest([\n    watchElementOffset(el),\n    watchElementContentOffset(container)\n  ]))\n    .pipe(\n      map(([{ x, y }, scroll]): ElementOffset => {\n        const { width, height } = getElementSize(el)\n        return ({\n          x: x - scroll.x + width  / 2,\n          y: y - scroll.y + height / 2\n        })\n      })\n    )\n\n  /* Actively watch annotation on focus */\n  return watchElementFocus(el)\n    .pipe(\n      switchMap(active => offset$\n        .pipe(\n          map(offset => ({ active, offset })),\n          take(+!active || Infinity)\n        )\n      )\n    )\n}\n\n/**\n * Mount annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotation(\n  el: HTMLElement, container: HTMLElement, { target$ }: MountOptions\n): Observable<Component<Annotation>> {\n  const [tooltip, index] = Array.from(el.children)\n\n  /* Mount component on subscription */\n  return defer(() => {\n    const push$ = new Subject<Annotation>()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n    push$.subscribe({\n\n      /* Handle emission */\n      next({ offset }) {\n        el.style.setProperty(\"--md-tooltip-x\", `${offset.x}px`)\n        el.style.setProperty(\"--md-tooltip-y\", `${offset.y}px`)\n      },\n\n      /* Handle complete */\n      complete() {\n        el.style.removeProperty(\"--md-tooltip-x\")\n        el.style.removeProperty(\"--md-tooltip-y\")\n      }\n    })\n\n    /* Start animation only when annotation is visible */\n    watchElementVisibility(el)\n      .pipe(\n        takeUntil(done$)\n      )\n        .subscribe(visible => {\n          el.toggleAttribute(\"data-md-visible\", visible)\n        })\n\n    /* Toggle tooltip presence to mitigate empty lines when copying */\n    merge(\n      push$.pipe(filter(({ active }) => active)),\n      push$.pipe(debounceTime(250), filter(({ active }) => !active))\n    )\n      .subscribe({\n\n        /* Handle emission */\n        next({ active }) {\n          if (active)\n            el.prepend(tooltip)\n          else\n            tooltip.remove()\n        },\n\n        /* Handle complete */\n        complete() {\n          el.prepend(tooltip)\n        }\n      })\n\n    /* Toggle tooltip visibility */\n    push$\n      .pipe(\n        auditTime(16, animationFrameScheduler)\n      )\n        .subscribe(({ active }) => {\n          tooltip.classList.toggle(\"md-tooltip--active\", active)\n        })\n\n    /* Track relative origin of tooltip */\n    push$\n      .pipe(\n        throttleTime(125, animationFrameScheduler),\n        filter(() => !!el.offsetParent),\n        map(() => el.offsetParent!.getBoundingClientRect()),\n        map(({ x }) => x)\n      )\n        .subscribe({\n\n          /* Handle emission */\n          next(origin) {\n            if (origin)\n              el.style.setProperty(\"--md-tooltip-0\", `${-origin}px`)\n            else\n              el.style.removeProperty(\"--md-tooltip-0\")\n          },\n\n          /* Handle complete */\n          complete() {\n            el.style.removeProperty(\"--md-tooltip-0\")\n          }\n        })\n\n    /* Allow to copy link without scrolling to anchor */\n    fromEvent<MouseEvent>(index, \"click\")\n      .pipe(\n        takeUntil(done$),\n        filter(ev => !(ev.metaKey || ev.ctrlKey))\n      )\n        .subscribe(ev => {\n          ev.stopPropagation()\n          ev.preventDefault()\n        })\n\n    /* Allow to open link in new tab or blur on close */\n    fromEvent<MouseEvent>(index, \"mousedown\")\n      .pipe(\n        takeUntil(done$),\n        withLatestFrom(push$)\n      )\n        .subscribe(([ev, { active }]) => {\n\n          /* Open in new tab */\n          if (ev.button !== 0 || ev.metaKey || ev.ctrlKey) {\n            ev.preventDefault()\n\n          /* Close annotation */\n          } else if (active) {\n            ev.preventDefault()\n\n            /* Focus parent annotation, if any */\n            const parent = el.parentElement!.closest(\".md-annotation\")\n            if (parent instanceof HTMLElement)\n              parent.focus()\n            else\n              getActiveElement()?.blur()\n          }\n        })\n\n    /* Open and focus annotation on location target */\n    target$\n      .pipe(\n        takeUntil(done$),\n        filter(target => target === tooltip),\n        delay(125)\n      )\n        .subscribe(() => el.focus())\n\n    /* Create and return component */\n    return watchAnnotation(el, container)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  defer,\n  endWith,\n  finalize,\n  ignoreElements,\n  merge,\n  share,\n  takeUntil\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n  getElement,\n  getElements,\n  getOptionalElement\n} from \"~/browser\"\nimport { renderAnnotation } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n  Annotation,\n  mountAnnotation\n} from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n  print$: Observable<boolean>          /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find all annotation hosts in the containing element\n *\n * @param container - Containing element\n *\n * @returns Annotation hosts\n */\nfunction findHosts(container: HTMLElement): HTMLElement[] {\n  const config = configuration()\n  if (container.tagName !== \"CODE\")\n    return [container]\n\n  /* Try to determine language of code block */\n  const selectors = [\".c\", \".c1\", \".cm\"]\n  if (config.annotate && typeof config.annotate === \"object\") {\n    const host = container.closest(\"[class|=language]\")\n    if (host) {\n\n      /* Extract language from class name */\n      for (const value of Array.from(host.classList)) {\n        if (!value.startsWith(\"language-\"))\n          continue\n\n        /* Obtain additional mappings, if any */\n        const [, language] = value.split(\"-\")\n        if (language in config.annotate)\n          selectors.push(...config.annotate[language])\n      }\n    }\n  }\n\n  /* Retrieve and return annotation hosts */\n  return getElements(selectors.join(\", \"), container)\n}\n\n/**\n * Find all annotation markers in the containing element\n *\n * @param container - Containing element\n *\n * @returns Annotation markers\n */\nfunction findMarkers(container: HTMLElement): Text[] {\n  const markers: Text[] = []\n  for (const el of findHosts(container)) {\n    const nodes: Text[] = []\n\n    /* Find all text nodes in current element */\n    const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n    for (let node = it.nextNode(); node; node = it.nextNode())\n      nodes.push(node as Text)\n\n    /* Find all markers in each text node */\n    for (let text of nodes) {\n      let match: RegExpExecArray | null\n\n      /* Split text at marker and add to list */\n      while ((match = /(\\(\\d+\\))(!)?/.exec(text.textContent!))) {\n        const [, id, force] = match\n        if (typeof force === \"undefined\") {\n          const marker = text.splitText(match.index)\n          text = marker.splitText(id.length)\n          markers.push(marker)\n\n        /* Replace entire text with marker */\n        } else {\n          text.textContent = id\n          markers.push(text)\n          break\n        }\n      }\n    }\n  }\n  return markers\n}\n\n/**\n * Swap the child nodes of two elements\n *\n * @param source - Source element\n * @param target - Target element\n */\nfunction swap(source: HTMLElement, target: HTMLElement): void {\n  target.append(...Array.from(source.childNodes))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount annotation list\n *\n * This function analyzes the containing code block and checks for markers\n * referring to elements in the given annotation list. If no markers are found,\n * the list is left untouched. Otherwise, list elements are rendered as\n * annotations inside the code block.\n *\n * @param el - Annotation list element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotationList(\n  el: HTMLElement, container: HTMLElement, { target$, print$ }: MountOptions\n): Observable<Component<Annotation>> {\n\n  /* Compute prefix for tooltip anchors */\n  const parent = container.closest(\"[id]\")\n  const prefix = parent?.id\n\n  /* Find and replace all markers with empty annotations */\n  const annotations = new Map<string, HTMLElement>()\n  for (const marker of findMarkers(container)) {\n    const [, id] = marker.textContent!.match(/\\((\\d+)\\)/)!\n    if (getOptionalElement(`:scope > li:nth-child(${id})`, el)) {\n      annotations.set(id, renderAnnotation(id, prefix))\n      marker.replaceWith(annotations.get(id)!)\n    }\n  }\n\n  /* Keep list if there are no annotations to render */\n  if (annotations.size === 0)\n    return EMPTY\n\n  /* Mount component on subscription */\n  return defer(() => {\n    const push$ = new Subject()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n\n    /* Retrieve container pairs for swapping */\n    const pairs: [HTMLElement, HTMLElement][] = []\n    for (const [id, annotation] of annotations)\n      pairs.push([\n        getElement(\".md-typeset\", annotation),\n        getElement(`:scope > li:nth-child(${id})`, el)\n      ])\n\n    /* Handle print mode - see https://bit.ly/3rgPdpt */\n    print$.pipe(takeUntil(done$))\n      .subscribe(active => {\n        el.hidden = !active\n\n        /* Add class to discern list element */\n        el.classList.toggle(\"md-annotation-list\", active)\n\n        /* Show annotations in code block or list (print) */\n        for (const [inner, child] of pairs)\n          if (!active)\n            swap(child, inner)\n          else\n            swap(inner, child)\n      })\n\n    /* Create and return component */\n    return merge(...[...annotations]\n      .map(([, annotation]) => (\n        mountAnnotation(annotation, container, { target$ })\n      ))\n    )\n      .pipe(\n        finalize(() => push$.complete()),\n        share()\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { EMPTY, Observable, defer } from \"rxjs\"\n\nimport { Component } from \"../../../_\"\nimport { Annotation } from \"../_\"\nimport { mountAnnotationList } from \"../list\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n  print$: Observable<boolean>          /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find list element directly following a block\n *\n * @param el - Annotation block element\n *\n * @returns List element or nothing\n */\nfunction findList(el: HTMLElement): HTMLElement | undefined {\n  if (el.nextElementSibling) {\n    const sibling = el.nextElementSibling as HTMLElement\n    if (sibling.tagName === \"OL\")\n      return sibling\n\n    /* Skip empty paragraphs - see https://bit.ly/3r4ZJ2O */\n    else if (sibling.tagName === \"P\" && !sibling.children.length)\n      return findList(sibling)\n  }\n\n  /* Everything else */\n  return undefined\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount annotation block\n *\n * @param el - Annotation block element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotationBlock(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<Annotation>> {\n  return defer(() => {\n    const list = findList(el)\n    return typeof list !== \"undefined\"\n      ? mountAnnotationList(list, el, options)\n      : EMPTY\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  asyncScheduler,\n  defer,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  filter,\n  finalize,\n  from,\n  fromEvent,\n  map,\n  merge,\n  mergeMap,\n  mergeWith,\n  observeOn,\n  scan,\n  share,\n  shareReplay,\n  startWith,\n  switchMap,\n  take,\n  takeLast,\n  takeUntil,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  getElement,\n  getElementContentSize,\n  getElements,\n  getOptionalElement,\n  watchElementHover,\n  watchElementSize,\n  watchElementVisibility,\n  watchLocationHash\n} from \"~/browser\"\nimport {\n  Tooltip,\n  mountInlineTooltip2\n} from \"~/components/tooltip2\"\nimport {\n  renderClipboardButton,\n  renderCodeBlockNavigation,\n  renderSelectionButton\n} from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n  Annotation,\n  mountAnnotationList\n} from \"../../annotation\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Code block overflow\n */\nexport interface Overflow {\n  scrollable: boolean                  /* Code block overflows */\n}\n\n/**\n * Code block\n */\nexport type CodeBlock =\n  | Overflow\n  | Annotation\n  | Tooltip\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n  print$: Observable<boolean>          /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for code blocks\n */\nlet sequence = 0\n\n/**\n * Shift-key observable - @todo consolidate with keyboard observable\n */\nconst shift$ = merge(\n  fromEvent(window, \"keydown\").pipe(map(() => true)),\n  merge(\n    fromEvent(window, \"keyup\"),\n    fromEvent(window, \"contextmenu\")\n  )\n    .pipe(map(() => false))\n)\n  .pipe(\n    startWith(false),\n    shareReplay(1)\n  )\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find list element directly following a code block\n *\n * @param el - Code block element\n *\n * @returns List element or nothing\n */\nfunction findList(el: HTMLElement): HTMLElement | undefined {\n  if (el.nextElementSibling) {\n    const sibling = el.nextElementSibling as HTMLElement\n    if (sibling.tagName === \"OL\")\n      return sibling\n\n    /* Skip empty paragraphs - see https://bit.ly/3r4ZJ2O */\n    else if (sibling.tagName === \"P\" && !sibling.children.length)\n      return findList(sibling)\n  }\n\n  /* Everything else */\n  return undefined\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch code block\n *\n * This function monitors size changes of the viewport, as well as switches of\n * content tabs with embedded code blocks, as both may trigger overflow.\n *\n * @param el - Code block element\n *\n * @returns Code block observable\n */\nexport function watchCodeBlock(\n  el: HTMLElement\n): Observable<Overflow> {\n  return watchElementSize(el)\n    .pipe(\n      map(({ width }) => {\n        const content = getElementContentSize(el)\n        return {\n          scrollable: content.width > width\n        }\n      }),\n      distinctUntilKeyChanged(\"scrollable\")\n    )\n}\n\n/**\n * Mount code block\n *\n * This function ensures that an overflowing code block is focusable through\n * keyboard, so it can be scrolled without a mouse to improve on accessibility.\n * Furthermore, if code annotations are enabled, they are mounted if and only\n * if the code block is currently visible, e.g., not in a hidden content tab.\n *\n * Note that code blocks may be mounted eagerly or lazily. If they're mounted\n * lazily (on first visibility), code annotation anchor links will not work,\n * as they are evaluated on initial page load, and code annotations in general\n * might feel a little bumpier.\n *\n * @param el - Code block element\n * @param options - Options\n *\n * @returns Code block and annotation component observable\n */\nexport function mountCodeBlock(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<CodeBlock>> {\n  const { matches: hover } = matchMedia(\"(hover)\")\n\n  /* Defer mounting of code block - see https://bit.ly/3vHVoVD */\n  const factory$ = defer(() => {\n    const push$ = new Subject<Overflow>()\n    const done$ = push$.pipe(takeLast(1))\n    push$.subscribe(({ scrollable }) => {\n      if (scrollable && hover)\n        el.setAttribute(\"tabindex\", \"0\")\n      else\n        el.removeAttribute(\"tabindex\")\n    })\n\n    // Code block sequence number\n    const buttons: HTMLElement[] = []\n    const parent = el.closest(\"pre\")!\n\n    // Check if there's a parent element with an id, and use that id, otherwise\n    // generate a new one. This is necessary to allow for authors to define\n    // unique ids for code blocks - see https://t.ly/q7UEq\n    const unique = parent.closest(\"[id]\")\n    const id = unique ? unique.id : sequence++\n    parent.id = `__code_${id}`\n\n    /* Handle code annotations and highlights */\n    const content$: Array<Observable<Component<CodeBlock>>> = []\n    const container = el.closest(\".highlight\")\n    if (container instanceof HTMLElement) {\n      const list = findList(container)\n\n      /* Mount code annotations, if enabled */\n      if (typeof list !== \"undefined\" && (\n        container.classList.contains(\"annotate\") ||\n        feature(\"content.code.annotate\")\n      )) {\n        const annotations$ = mountAnnotationList(list, el, options)\n        content$.push(\n          watchElementSize(container)\n            .pipe(\n              takeUntil(done$),\n              map(({ width, height }) => width && height),\n              distinctUntilChanged(),\n              switchMap(active => active ? annotations$ : EMPTY)\n            )\n        )\n      }\n    }\n\n    // @todo: refactor and move into separate component\n\n    /* Check if code block has line spans */\n    const spans = getElements(\":scope > span[id]\", el)\n    if (spans.length) {\n      el.classList.add(\"md-code__content\")\n\n      /* Mount code selection */\n      if (el.closest(\".select\") || (\n        feature(\"content.code.select\") && !el.closest(\".no-select\")\n      )) {\n        const base = +spans[0].id.split(\"-\").pop()!\n\n        /* Mount tooltip, if enabled */\n        const button = renderSelectionButton()\n        buttons.push(button)\n        if (feature(\"content.tooltips\"))\n          content$.push(mountInlineTooltip2(button, { viewport$ }))\n\n        /* Selection state */\n        const select$ = fromEvent(button, \"click\")\n          .pipe(\n            scan(active => !active, false),\n            tap(() => button.blur()),\n            share()\n          )\n\n        /* Toggle active selection state on button */\n        select$.subscribe(active => {\n          button.classList.toggle(\"md-code__button--active\", active)\n        })\n\n        /* Observable that monitors hovering */\n        const hover$ = from(spans)\n          .pipe(\n            mergeMap(span => watchElementHover(span)\n              .pipe(\n                map(active => [span, active] as const)\n              )\n            )\n          )\n\n        /* Trigger hover selection state based on state */\n        select$\n          .pipe(\n            switchMap(active => active ? hover$ : EMPTY)\n          )\n            .subscribe(([span, active]) => {\n              // @todo: don't mutate, but wrap everything in selection elements\n              const highlight = getOptionalElement(\".hll.select\", span)\n              if (highlight && !active) {\n                highlight.replaceWith(...Array.from(highlight.childNodes))\n              } else if (!highlight && active) {\n                const hll = document.createElement(\"span\")\n                hll.className = \"hll select\"\n                hll.append(...Array.from(span.childNodes).slice(1))\n                span.append(hll)\n              }\n            })\n\n        // @todo: use a single event handler and consolidate events\n        const click$ = from(spans)\n          .pipe(\n            mergeMap(span => fromEvent(span, \"mousedown\")\n              .pipe(\n                tap(ev => ev.preventDefault()),\n                map(() => span)\n              )\n            )\n          )\n\n        const range$ = select$\n          .pipe(\n            switchMap(active => active ? click$ : EMPTY),\n            withLatestFrom(shift$),\n            map(([span, shift]) => {\n\n              /* Determine focused line number */\n              const active = spans.indexOf(span) + base\n              if (shift === false) {\n                return [active, active] as const\n\n                /* Shift is pressed, so extend selection */\n              } else {\n                const range = getElements(\".hll\", el)\n                  .map(line => spans.indexOf(line.parentElement!) + base)\n\n                // Hack: this is a side effect, but we need to remove all ranges\n                // or rendering might look weird.\n                window.getSelection()?.removeAllRanges()\n\n                /* Return range */\n                return [\n                  Math.min(active, ...range),\n                  Math.max(active, ...range)\n                ] as const\n              }\n            })\n          )\n\n        // Currently, all mounted code blocks will receive this event. That#s\n        // not ideal, since we should handle this higher up the tree\n        const hash$ = watchLocationHash(EMPTY)\n          .pipe(\n            // @todo: make more resilient\n            filter(hash => hash.startsWith(`__codelineno-${id}-`))\n          )\n\n        hash$.subscribe(hash => {\n          const [, , line] = hash.split(\"-\")\n          const range = line.split(\":\").map(value => +value - base + 1)\n          if (range.length === 1)\n            range.push(range[0])\n\n          // remove all existing, then set range...\n          for (const span of getElements(\".hll:not(.select)\", el)) {\n            span.replaceWith(...Array.from(span.childNodes))\n          }\n\n          // set new range @todo move this into one block\n          const selection = spans.slice(range[0] - 1, range[1])\n          for (const span of selection) {\n            const hll = document.createElement(\"span\")\n            hll.className = \"hll\"\n            hll.append(...Array.from(span.childNodes).slice(1))\n            span.append(hll)\n          }\n        })\n\n        hash$.pipe(take(1), observeOn(asyncScheduler))\n          .subscribe(hash => {\n            if (hash.includes(\":\")) {\n              const anchor = document.getElementById(hash.split(\":\")[0])\n              if (anchor) {\n                // this is a hack - we will refactor anchor / targetting as one\n                // of the next big things when merging one of the next goals.\n                // we need to unify how offsets are computed for tooltips and\n                // make the whole experience smoother.\n                setTimeout(() => {\n                  let tmp = anchor\n                  let top = -(48 + 16)\n                  while (tmp !== document.body) {\n                    top += tmp.offsetTop\n                    tmp  = tmp.offsetParent as HTMLElement\n                  }\n                  window.scrollTo({ top })\n                }, 1)\n              }\n            }\n          })\n\n        /* Allow selection via anchor links */\n        const jump$ = from(\n          getElements(\"a[href^=\\\"#__codelineno\\\"]\", container!)\n        )\n          .pipe(\n            mergeMap(anchor => fromEvent(anchor, \"click\")\n              .pipe(\n                tap(ev => ev.preventDefault()),\n                map(() => anchor as HTMLAnchorElement)\n              )\n            )\n          )\n\n        /* Determine next highlighted lines */\n        const next$ = jump$\n          .pipe(\n            takeUntil(done$),\n            withLatestFrom(shift$),\n            map(([anchor, shift]) => {\n              const target = getElement(`[id=\"${anchor.hash.slice(1)}\"]`)\n\n              /* Determine focused line number */\n              const active = +target.parentElement!.id.split(\"-\").pop()!\n              if (shift === false) {\n                return [active, active] as const\n\n              /* Shift is pressed, so extend selection */\n              } else {\n                const range = getElements(\".hll\", el)\n                  .map(line => +line.parentElement!.id.split(\"-\").pop()!)\n\n                /* Return range */\n                return [\n                  Math.min(active, ...range),\n                  Math.max(active, ...range)\n                ] as const\n              }\n            })\n          )\n\n        // Push selection to URL\n        merge(range$, next$).subscribe(range => {\n          // @todo: improve resilience, so we're not dependent on class names\n          let hash = `#__codelineno-${id}-`\n          if (range[0] === range[1]) {\n            hash += range[0]\n          } else {\n            hash += `${range[0]}:${range[1]}`\n          }\n          history.replaceState({}, \"\", hash)\n          // @hack dispatch artificial hashchange event\n          window.dispatchEvent(new HashChangeEvent(\"hashchange\", {\n            newURL: window.location.origin + window.location.pathname + hash,\n            oldURL: window.location.href\n          }))\n        })\n      }\n    }\n\n    /* Render button for Clipboard.js integration */\n    if (ClipboardJS.isSupported()) {\n      if (el.closest(\".copy\") || (\n        feature(\"content.code.copy\") && !el.closest(\".no-copy\")\n      )) {\n\n        /* Mount tooltip, if enabled */\n        const button = renderClipboardButton(parent.id)\n        buttons.push(button)\n        if (feature(\"content.tooltips\"))\n          content$.push(mountInlineTooltip2(button, { viewport$ }))\n      }\n    }\n\n    // @hack Render code navigation and buttons\n    if (buttons.length) {\n      const nav = renderCodeBlockNavigation()\n      nav.append(...buttons)\n      parent.insertBefore(nav, el)\n    }\n\n    /* Create and return component */\n    return watchCodeBlock(el)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state })),\n        mergeWith(merge(...content$).pipe(\n          takeUntil(done$)\n        )),\n      )\n  })\n\n  /* Mount code block lazily */\n  if (feature(\"content.lazy\"))\n    return watchElementVisibility(el)\n      .pipe(\n        filter(visible => visible),\n        take(1),\n        switchMap(() => factory$)\n      )\n\n  /* Mount code block */\n  return factory$\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  defer,\n  filter,\n  finalize,\n  map,\n  merge,\n  tap\n} from \"rxjs\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Details\n */\nexport interface Details {\n  action: \"open\" | \"close\"             /* Details state */\n  reveal?: boolean                     /* Details is revealed */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n  print$: Observable<boolean>          /* Media print observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  target$: Observable<HTMLElement>     /* Location target observable */\n  print$: Observable<boolean>          /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch details\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details observable\n */\nexport function watchDetails(\n  el: HTMLDetailsElement, { target$, print$ }: WatchOptions\n): Observable<Details> {\n  let open = true\n  return merge(\n\n    /* Open and focus details on location target */\n    target$\n      .pipe(\n        map(target => target.closest(\"details:not([open])\")!),\n        filter(details => el === details),\n        map(() => ({\n          action: \"open\", reveal: true\n        }) as Details)\n      ),\n\n    /* Open details on print and close afterwards */\n    print$\n      .pipe(\n        filter(active => active || !open),\n        tap(() => open = el.open),\n        map(active => ({\n          action: active ? \"open\" : \"close\"\n        }) as Details)\n      )\n  )\n}\n\n/**\n * Mount details\n *\n * This function ensures that `details` tags are opened on anchor jumps and\n * prior to printing, so the whole content of the page is visible.\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details component observable\n */\nexport function mountDetails(\n  el: HTMLDetailsElement, options: MountOptions\n): Observable<Component<Details>> {\n  return defer(() => {\n    const push$ = new Subject<Details>()\n    push$.subscribe(({ action, reveal }) => {\n      el.toggleAttribute(\"open\", action === \"open\")\n      if (reveal)\n        el.scrollIntoView()\n    })\n\n    /* Create and return component */\n    return watchDetails(el, options)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  combineLatest,\n  distinctUntilChanged,\n  filter,\n  map,\n  of,\n  switchMap,\n  zip\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElements,\n  getOptionalElement,\n  requestHTML,\n  watchElementFocus,\n  watchElementHover\n} from \"~/browser\"\nimport { Sitemap } from \"~/integrations\"\nimport { renderTooltip2 } from \"~/templates\"\n\nimport { Component } from \"../../_\"\nimport { mountTooltip2 } from \"../../tooltip2\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Link\n */\nexport interface Link {}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dependencies\n */\ninterface Dependencies {\n  sitemap$: Observable<Sitemap>        // Sitemap observable\n  viewport$: Observable<Viewport>      // Viewport observable\n  target$: Observable<HTMLElement>     // Location target observable\n  print$: Observable<boolean>          // Media print observable\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for instant previews\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Extract elements until next heading\n *\n * @param headline - Heading\n *\n * @returns Elements until next heading\n */\nfunction extract(headline: HTMLElement): HTMLElement[] {\n  const newHeading = document.createElement(\"h3\")\n  newHeading.innerHTML = headline.innerHTML\n  const els = [newHeading]\n\n  //\n  let nextElement = headline.nextElementSibling\n  while (nextElement && !(nextElement instanceof HTMLHeadingElement)) {\n    // @ts-expect-error - fix once instant previews are stable\n    els.push(nextElement as HTMLElement)\n    nextElement = nextElement.nextElementSibling\n  }\n\n  //\n  return els\n}\n\n/**\n * Resolve relative URLs in the given document\n *\n * @todo deduplicate with resolution in instant navigation. This functoion also\n * adds the ability to resolve from a specific base URL, which is essential for\n * instant previews to work, so we should generalize this functionality the\n * next time we work on instant navigation.\n *\n * @param document - Document\n * @param base - Base URL\n *\n * @returns Document observable\n */\nfunction resolve(\n  document: Document, base: URL | string\n): Observable<Document> {\n\n  // Replace all links\n  for (const el of getElements(\"[href], [src]\", document))\n    for (const key of [\"href\", \"src\"]) {\n      const value = el.getAttribute(key)\n      if (value && !/^(?:[a-z]+:)?\\/\\//i.test(value)) {\n        // @ts-expect-error - trick: self-assign to resolve URL\n        el[key] = new URL(el.getAttribute(key), base).toString()\n        break\n      }\n    }\n\n  // Ensure ids are free of collisions (e.g. content tabs)\n  for (const el of getElements(\"[name^=__], [for]\", document))\n    for (const key of [\"id\", \"for\", \"name\"]) {\n      const value = el.getAttribute(key)\n      if (value) {\n        el.setAttribute(key, `${value}$preview_${sequence}`)\n      }\n    }\n\n  // Return document observable\n  sequence++\n  return of(document)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount Link\n *\n * @param el - Link element\n * @param dependencies - Depenendencies\n *\n * @returns Link component observable\n */\nexport function mountLink(\n  el: HTMLElement, dependencies: Dependencies\n): Observable<Component<Link>> {\n  const { sitemap$ } = dependencies\n  if (!(el instanceof HTMLAnchorElement))\n    return EMPTY\n\n  //\n  if (!(\n    feature(\"navigation.instant.preview\") ||\n    el.hasAttribute(\"data-preview\")\n  ))\n    return EMPTY\n\n  // Remove title, as it will overlay the instant preview, and we want to give\n  // instant previews precedence over titles \u2013 see https://t.ly/o0_Rk\n  el.removeAttribute(\"title\")\n\n  const active$ =\n    combineLatest([\n      watchElementFocus(el),\n      watchElementHover(el)\n    ])\n      .pipe(\n        map(([focus, hover]) => focus || hover),\n        distinctUntilChanged(),\n        filter(active => active)\n      )\n\n  // @todo: this is taken from the handle function in instant loading - we\n  // should generalize this once instant loading becomes stable.\n  const elements$ = zip([sitemap$, active$]).pipe(\n    switchMap(([sitemap]) => {\n      const url = new URL(el.href)\n      url.search = url.hash = \"\"\n\n      //\n      if (!sitemap.has(`${url}`))\n        return EMPTY\n\n      //\n      return of(url)\n    }),\n    switchMap(url => requestHTML(url).pipe(\n      switchMap(doc => resolve(doc, url))\n    )),\n    switchMap(doc => {\n      const selector = el.hash\n        ? `article [id=\"${el.hash.slice(1)}\"]`\n        : \"article h1\"\n\n      //\n      const target = getOptionalElement(selector, doc)\n      if (typeof target === \"undefined\")\n        return EMPTY\n\n      //\n      return of(extract(target))\n    })\n  )\n\n  //\n  return elements$.pipe(\n    switchMap(els => {\n      const content$ = new Observable<HTMLElement>(observer => {\n        const node = renderTooltip2(...els)\n        observer.next(node)\n\n        //\n        document.body.append(node)\n        return () => node.remove()\n      })\n\n      //\n      return mountTooltip2(el, { content$,  ...dependencies })\n    })\n  )\n}\n", ".node circle,.node ellipse,.node path,.node polygon,.node rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}marker{fill:var(--md-mermaid-edge-color)!important}.edgeLabel .label rect{fill:#0000}.flowchartTitleText{fill:var(--md-mermaid-label-fg-color)}.label{color:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.label foreignObject{line-height:normal;overflow:visible}.label div .edgeLabel{color:var(--md-mermaid-label-fg-color)}.edgeLabel,.edgeLabel p,.label div .edgeLabel{background-color:var(--md-mermaid-label-bg-color)}.edgeLabel,.edgeLabel p{fill:var(--md-mermaid-label-bg-color);color:var(--md-mermaid-edge-color)}.edgePath .path,.flowchart-link{stroke:var(--md-mermaid-edge-color)}.edgePath .arrowheadPath{fill:var(--md-mermaid-edge-color);stroke:none}.cluster rect{fill:var(--md-default-fg-color--lightest);stroke:var(--md-default-fg-color--lighter)}.cluster span{color:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}g #flowchart-circleEnd,g #flowchart-circleStart,g #flowchart-crossEnd,g #flowchart-crossStart,g #flowchart-pointEnd,g #flowchart-pointStart{stroke:none}.classDiagramTitleText{fill:var(--md-mermaid-label-fg-color)}g.classGroup line,g.classGroup rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}g.classGroup text{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.classLabel .box{fill:var(--md-mermaid-label-bg-color);background-color:var(--md-mermaid-label-bg-color);opacity:1}.classLabel .label{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.node .divider{stroke:var(--md-mermaid-node-fg-color)}.relation{stroke:var(--md-mermaid-edge-color)}.cardinality{fill:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}.cardinality text{fill:inherit!important}defs marker.marker.composition.class path,defs marker.marker.dependency.class path,defs marker.marker.extension.class path{fill:var(--md-mermaid-edge-color)!important;stroke:var(--md-mermaid-edge-color)!important}defs marker.marker.aggregation.class path{fill:var(--md-mermaid-label-bg-color)!important;stroke:var(--md-mermaid-edge-color)!important}.statediagramTitleText{fill:var(--md-mermaid-label-fg-color)}g.stateGroup rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}g.stateGroup .state-title{fill:var(--md-mermaid-label-fg-color)!important;font-family:var(--md-mermaid-font-family)}g.stateGroup .composit{fill:var(--md-mermaid-label-bg-color)}.nodeLabel,.nodeLabel p{color:var(--md-mermaid-label-fg-color);font-family:var(--md-mermaid-font-family)}a .nodeLabel{text-decoration:underline}.node circle.state-end,.node circle.state-start,.start-state{fill:var(--md-mermaid-edge-color);stroke:none}.end-state-inner,.end-state-outer{fill:var(--md-mermaid-edge-color)}.end-state-inner,.node circle.state-end{stroke:var(--md-mermaid-label-bg-color)}.transition{stroke:var(--md-mermaid-edge-color)}[id^=state-fork] rect,[id^=state-join] rect{fill:var(--md-mermaid-edge-color)!important;stroke:none!important}.statediagram-cluster.statediagram-cluster .inner{fill:var(--md-default-bg-color)}.statediagram-cluster rect{fill:var(--md-mermaid-node-bg-color);stroke:var(--md-mermaid-node-fg-color)}.statediagram-state rect.divider{fill:var(--md-default-fg-color--lightest);stroke:var(--md-default-fg-color--lighter)}defs #statediagram-barbEnd{stroke:var(--md-mermaid-edge-color)}[id^=entity] path,[id^=entity] rect{fill:var(--md-default-bg-color)}.relationshipLine{stroke:var(--md-mermaid-edge-color)}defs .marker.oneOrMore.er *,defs .marker.onlyOne.er *,defs .marker.zeroOrMore.er *,defs .marker.zeroOrOne.er *{stroke:var(--md-mermaid-edge-color)!important}text:not([class]):last-child{fill:var(--md-mermaid-label-fg-color)}.actor{fill:var(--md-mermaid-sequence-actor-bg-color);stroke:var(--md-mermaid-sequence-actor-border-color)}text.actor>tspan{fill:var(--md-mermaid-sequence-actor-fg-color);font-family:var(--md-mermaid-font-family)}line{stroke:var(--md-mermaid-sequence-actor-line-color)}.actor-man circle,.actor-man line{fill:var(--md-mermaid-sequence-actorman-bg-color);stroke:var(--md-mermaid-sequence-actorman-line-color)}.messageLine0,.messageLine1{stroke:var(--md-mermaid-sequence-message-line-color)}.note{fill:var(--md-mermaid-sequence-note-bg-color);stroke:var(--md-mermaid-sequence-note-border-color)}.loopText,.loopText>tspan,.messageText,.noteText>tspan{stroke:none;font-family:var(--md-mermaid-font-family)!important}.messageText{fill:var(--md-mermaid-sequence-message-fg-color)}.loopText,.loopText>tspan{fill:var(--md-mermaid-sequence-loop-fg-color)}.noteText>tspan{fill:var(--md-mermaid-sequence-note-fg-color)}#arrowhead path{fill:var(--md-mermaid-sequence-message-line-color);stroke:none}.loopLine{fill:var(--md-mermaid-sequence-loop-bg-color);stroke:var(--md-mermaid-sequence-loop-border-color)}.labelBox{fill:var(--md-mermaid-sequence-label-bg-color);stroke:none}.labelText,.labelText>span{fill:var(--md-mermaid-sequence-label-fg-color);font-family:var(--md-mermaid-font-family)}.sequenceNumber{fill:var(--md-mermaid-sequence-number-fg-color)}rect.rect{fill:var(--md-mermaid-sequence-box-bg-color);stroke:none}rect.rect+text.text{fill:var(--md-mermaid-sequence-box-fg-color)}defs #sequencenumber{fill:var(--md-mermaid-sequence-number-bg-color)!important}", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  map,\n  of,\n  shareReplay,\n  tap\n} from \"rxjs\"\n\nimport { watchScript } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\nimport themeCSS from \"./index.css\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid diagram\n */\nexport interface Mermaid {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid instance observable\n */\nlet mermaid$: Observable<void>\n\n/**\n * Global sequence number for diagrams\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch Mermaid script\n *\n * @returns Mermaid scripts observable\n */\nfunction fetchScripts(): Observable<void> {\n  return typeof mermaid === \"undefined\" || mermaid instanceof Element\n    ? watchScript(\"https://unpkg.com/mermaid@11/dist/mermaid.min.js\")\n    : of(undefined)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount Mermaid diagram\n *\n * @param el - Code block element\n *\n * @returns Mermaid diagram component observable\n */\nexport function mountMermaid(\n  el: HTMLElement\n): Observable<Component<Mermaid>> {\n  el.classList.remove(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n  mermaid$ ||= fetchScripts()\n    .pipe(\n      tap(() => mermaid.initialize({\n        startOnLoad: false,\n        themeCSS,\n        sequence: {\n          actorFontSize: \"16px\", // Hack: mitigate https://bit.ly/3y0NEi3\n          messageFontSize: \"16px\",\n          noteFontSize: \"16px\"\n        }\n      })),\n      map(() => undefined),\n      shareReplay(1)\n    )\n\n  /* Render diagram */\n  mermaid$.subscribe(async () => {\n    el.classList.add(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n    const id = `__mermaid_${sequence++}`\n\n    /* Create host element to replace code block */\n    const host = h(\"div\", { class: \"mermaid\" })\n    const text = el.textContent\n\n    /* Render and inject diagram */\n    const { svg, fn } = await mermaid.render(id, text)\n\n    /* Create a shadow root and inject diagram */\n    const shadow = host.attachShadow({ mode: \"closed\" })\n    shadow.innerHTML = svg\n\n    /* Replace code block with diagram and bind functions */\n    el.replaceWith(host)\n    fn?.(shadow)\n  })\n\n  /* Create and return component */\n  return mermaid$\n    .pipe(\n      map(() => ({ ref: el }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, of } from \"rxjs\"\n\nimport { renderTable } from \"~/templates\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Data table\n */\nexport interface DataTable {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Sentinel for replacement\n */\nconst sentinel = h(\"table\")\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount data table\n *\n * This function wraps a data table in another scrollable container, so it can\n * be smoothly scrolled on smaller screen sizes and won't break the layout.\n *\n * @param el - Data table element\n *\n * @returns Data table component observable\n */\nexport function mountDataTable(\n  el: HTMLElement\n): Observable<Component<DataTable>> {\n  el.replaceWith(sentinel)\n  sentinel.replaceWith(renderTable(el))\n\n  /* Create and return component */\n  return of({ ref: el })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  animationFrameScheduler,\n  asyncScheduler,\n  auditTime,\n  combineLatest,\n  defer,\n  endWith,\n  filter,\n  finalize,\n  fromEvent,\n  ignoreElements,\n  map,\n  merge,\n  skip,\n  startWith,\n  subscribeOn,\n  takeUntil,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElement,\n  getElementContentOffset,\n  getElementContentSize,\n  getElementOffset,\n  getElementSize,\n  getElements,\n  watchElementContentOffset,\n  watchElementSize,\n  watchElementVisibility\n} from \"~/browser\"\nimport { renderTabbedControl } from \"~/templates\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content tabs\n */\nexport interface ContentTabs {\n  active: HTMLLabelElement             /* Active tab label */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  target$: Observable<HTMLElement>     /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch content tabs\n *\n * @param inputs - Content tabs input elements\n *\n * @returns Content tabs observable\n */\nexport function watchContentTabs(\n  inputs: HTMLInputElement[]\n): Observable<ContentTabs> {\n  const initial = inputs.find(input => input.checked) || inputs[0]\n  return merge(...inputs.map(input => fromEvent(input, \"change\")\n    .pipe(\n      map(() => getElement<HTMLLabelElement>(`label[for=\"${input.id}\"]`))\n    )\n  ))\n    .pipe(\n      startWith(getElement<HTMLLabelElement>(`label[for=\"${initial.id}\"]`)),\n      map(active => ({ active }))\n    )\n}\n\n/**\n * Mount content tabs\n *\n * @param el - Content tabs element\n * @param options - Options\n *\n * @returns Content tabs component observable\n */\nexport function mountContentTabs(\n  el: HTMLElement, { viewport$, target$ }: MountOptions\n): Observable<Component<ContentTabs>> {\n  const container = getElement(\".tabbed-labels\", el)\n  const inputs = getElements<HTMLInputElement>(\":scope > input\", el)\n\n  /* Render content tab previous button for pagination */\n  const prev = renderTabbedControl(\"prev\")\n  el.append(prev)\n\n  /* Render content tab next button for pagination */\n  const next = renderTabbedControl(\"next\")\n  el.append(next)\n\n  /* Mount component on subscription */\n  return defer(() => {\n    const push$ = new Subject<ContentTabs>()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n    combineLatest([push$, watchElementSize(el), watchElementVisibility(el)])\n      .pipe(\n        takeUntil(done$),\n        auditTime(1, animationFrameScheduler)\n      )\n        .subscribe({\n\n          /* Handle emission */\n          next([{ active }, size]) {\n            const offset = getElementOffset(active)\n            const { width } = getElementSize(active)\n\n            /* Set tab indicator offset and width */\n            el.style.setProperty(\"--md-indicator-x\", `${offset.x}px`)\n            el.style.setProperty(\"--md-indicator-width\", `${width}px`)\n\n            /* Scroll container to active content tab */\n            const content = getElementContentOffset(container)\n            if (\n              offset.x         < content.x              ||\n              offset.x + width > content.x + size.width\n            )\n              container.scrollTo({\n                left: Math.max(0, offset.x - 16),\n                behavior: \"smooth\"\n              })\n          },\n\n          /* Handle complete */\n          complete() {\n            el.style.removeProperty(\"--md-indicator-x\")\n            el.style.removeProperty(\"--md-indicator-width\")\n          }\n        })\n\n    /* Hide content tab buttons on borders */\n    combineLatest([\n      watchElementContentOffset(container),\n      watchElementSize(container)\n    ])\n      .pipe(\n        takeUntil(done$)\n      )\n        .subscribe(([offset, size]) => {\n          const content = getElementContentSize(container)\n          prev.hidden = offset.x < 16\n          next.hidden = offset.x > content.width - size.width - 16\n        })\n\n    /* Paginate content tab container on click */\n    merge(\n      fromEvent(prev, \"click\").pipe(map(() => -1)),\n      fromEvent(next, \"click\").pipe(map(() => +1))\n    )\n      .pipe(\n        takeUntil(done$)\n      )\n        .subscribe(direction => {\n          const { width } = getElementSize(container)\n          container.scrollBy({\n            left: width * direction,\n            behavior: \"smooth\"\n          })\n        })\n\n    /* Switch to content tab target */\n    target$\n      .pipe(\n        takeUntil(done$),\n        filter(input => inputs.includes(input as HTMLInputElement))\n      )\n        .subscribe(input => input.click())\n\n    /* Add link to each content tab label */\n    container.classList.add(\"tabbed-labels--linked\")\n    for (const input of inputs) {\n      const label = getElement<HTMLLabelElement>(`label[for=\"${input.id}\"]`)\n      label.replaceChildren(h(\"a\", {\n        href: `#${label.htmlFor}`,\n        tabIndex: -1\n      }, ...Array.from(label.childNodes)))\n\n      /* Allow to copy link without scrolling to anchor */\n      fromEvent<MouseEvent>(label.firstElementChild!, \"click\")\n        .pipe(\n          takeUntil(done$),\n          filter(ev => !(ev.metaKey || ev.ctrlKey)),\n          tap(ev => {\n            ev.preventDefault()\n            ev.stopPropagation()\n          })\n        )\n          // @todo we might need to remove the anchor link on complete\n          .subscribe(() => {\n            history.replaceState({}, \"\", `#${label.htmlFor}`)\n            label.click()\n          })\n    }\n\n    /* Set up linking of content tabs, if enabled */\n    if (feature(\"content.tabs.link\"))\n      push$.pipe(\n        skip(1),\n        withLatestFrom(viewport$)\n      )\n        .subscribe(([{ active }, { offset }]) => {\n          const tab = active.innerText.trim()\n          if (active.hasAttribute(\"data-md-switching\")) {\n            active.removeAttribute(\"data-md-switching\")\n\n          /* Determine viewport offset of active tab */\n          } else {\n            const y = el.offsetTop - offset.y\n\n            /* Passively activate other tabs */\n            for (const set of getElements(\"[data-tabs]\"))\n              for (const input of getElements<HTMLInputElement>(\n                \":scope > input\", set\n              )) {\n                const label = getElement(`label[for=\"${input.id}\"]`)\n                if (\n                  label !== active &&\n                  label.innerText.trim() === tab\n                ) {\n                  label.setAttribute(\"data-md-switching\", \"\")\n                  input.click()\n                  break\n                }\n              }\n\n            /* Bring active tab into view */\n            window.scrollTo({\n              top: el.offsetTop - y\n            })\n\n            /* Persist active tabs in local storage */\n            const tabs = __md_get<string[]>(\"__tabs\") || []\n            __md_set(\"__tabs\", [...new Set([tab, ...tabs])])\n          }\n        })\n\n    /* Pause media (audio, video) on switch - see https://bit.ly/3Bk6cel */\n    push$.pipe(takeUntil(done$))\n      .subscribe(() => {\n        // If the video or audio is visible, and has autoplay enabled, it will\n        // continue playing. If it's not visible, it is paused in any case\n        for (const media of getElements<HTMLAudioElement>(\"audio, video\", el)) {\n          if (media.offsetWidth && media.autoplay) {\n            media.play().catch(() => {}) // Just ignore errors\n          } else {\n            media.pause()\n          }\n        }\n      })\n\n    /* Create and return component */\n    return watchContentTabs(inputs)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n    .pipe(\n      subscribeOn(asyncScheduler)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, merge } from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { Viewport, getElements } from \"~/browser\"\nimport { Sitemap } from \"~/integrations\"\nimport { renderTooltip2 } from \"~/templates\"\n\nimport { Component } from \"../../_\"\nimport {\n  Tooltip,\n  mountInlineTooltip2,\n  mountTooltip2\n} from \"../../tooltip2\"\nimport {\n  Annotation,\n  mountAnnotationBlock\n} from \"../annotation\"\nimport {\n  CodeBlock,\n  mountCodeBlock\n} from \"../code\"\nimport {\n  Details,\n  mountDetails\n} from \"../details\"\nimport {\n  Link,\n  mountLink\n} from \"../link\"\nimport {\n  Mermaid,\n  mountMermaid\n} from \"../mermaid\"\nimport {\n  DataTable,\n  mountDataTable\n} from \"../table\"\nimport {\n  ContentTabs,\n  mountContentTabs\n} from \"../tabs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content\n */\nexport type Content =\n  | Annotation\n  | CodeBlock\n  | ContentTabs\n  | DataTable\n  | Details\n  | Link\n  | Mermaid\n  | Tooltip\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dependencies\n */\ninterface Dependencies {\n  sitemap$: Observable<Sitemap>        // Sitemap observable\n  viewport$: Observable<Viewport>      // Viewport observable\n  target$: Observable<HTMLElement>     // Location target observable\n  print$: Observable<boolean>          // Media print observable\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount content\n *\n * This function mounts all components that are found in the content of the\n * actual article, including code blocks, data tables and details.\n *\n * @param el - Content element\n * @param dependencies - Dependencies\n *\n * @returns Content component observable\n */\nexport function mountContent(\n  el: HTMLElement, dependencies: Dependencies\n): Observable<Component<Content>> {\n  const { viewport$, target$, print$ } = dependencies\n  return merge(\n\n    // Annotations\n    ...getElements(\".annotate:not(.highlight)\", el)\n      .map(child => mountAnnotationBlock(child, { target$, print$ })),\n\n    // Code blocks\n    ...getElements(\"pre:not(.mermaid) > code\", el)\n      .map(child => mountCodeBlock(child, { target$, print$ })),\n\n    // Links\n    ...getElements(\"a\", el)\n      .map(child => mountLink(child, dependencies)),\n\n    // Mermaid diagrams\n    ...getElements(\"pre.mermaid\", el)\n      .map(child => mountMermaid(child)),\n\n    // Data tables\n    ...getElements(\"table:not([class])\", el)\n      .map(child => mountDataTable(child)),\n\n    // Details\n    ...getElements(\"details\", el)\n      .map(child => mountDetails(child, { target$, print$ })),\n\n    // Content tabs\n    ...getElements(\"[data-tabs]\", el)\n      .map(child => mountContentTabs(child, { viewport$, target$ })),\n\n    // Tooltips\n    ...getElements(\"[title]:not([data-preview])\", el)\n      .filter(() => feature(\"content.tooltips\"))\n      .map(child => mountInlineTooltip2(child, { viewport$ })),\n\n    // Footnotes\n    ...getElements(\".footnote-ref\", el)\n      .filter(() => feature(\"content.footnote.tooltips\"))\n      // move into specific function! mountTooltip is a low level primitive...\n      .map(child => mountTooltip2(child, {\n        content$: new Observable<HTMLElement>(observer => {\n          // @ts-ignore\n          const hash = new URL(child.href).hash.slice(1)\n          const arr = Array.from(document.getElementById(hash)!\n            // @ts-ignore\n            // eslint-disable-next-line\n            .cloneNode(true).children) as any\n          const node = renderTooltip2(...arr)\n          observer.next(node)\n\n          // Append tooltip and remove on unsubscription\n          document.body.append(node)\n          return () => node.remove()\n        }),\n        viewport$\n      }))\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  defer,\n  delay,\n  finalize,\n  map,\n  merge,\n  of,\n  switchMap,\n  tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dialog\n */\nexport interface Dialog {\n  message: string                      /* Dialog message */\n  active: boolean                      /* Dialog is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  alert$: Subject<string>              /* Alert subject */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  alert$: Subject<string>              /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch dialog\n *\n * @param _el - Dialog element\n * @param options - Options\n *\n * @returns Dialog observable\n */\nexport function watchDialog(\n  _el: HTMLElement, { alert$ }: WatchOptions\n): Observable<Dialog> {\n  return alert$\n    .pipe(\n      switchMap(message => merge(\n        of(true),\n        of(false).pipe(delay(2000))\n      )\n        .pipe(\n          map(active => ({ message, active }))\n        )\n      )\n    )\n}\n\n/**\n * Mount dialog\n *\n * This function reveals the dialog in the right corner when a new alert is\n * emitted through the subject that is passed as part of the options.\n *\n * @param el - Dialog element\n * @param options - Options\n *\n * @returns Dialog component observable\n */\nexport function mountDialog(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<Dialog>> {\n  const inner = getElement(\".md-typeset\", el)\n  return defer(() => {\n    const push$ = new Subject<Dialog>()\n    push$.subscribe(({ message, active }) => {\n      el.classList.toggle(\"md-dialog--active\", active)\n      inner.textContent = message\n    })\n\n    /* Create and return component */\n    return watchDialog(el, options)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  animationFrameScheduler,\n  asyncScheduler,\n  auditTime,\n  combineLatest,\n  debounceTime,\n  defer,\n  distinctUntilChanged,\n  filter,\n  finalize,\n  map,\n  merge,\n  of,\n  subscribeOn,\n  tap,\n  throttleTime\n} from \"rxjs\"\n\nimport {\n  ElementOffset,\n  getElement,\n  getElementContainer,\n  getElementOffset,\n  getElementSize,\n  watchElementContentOffset,\n  watchElementFocus,\n  watchElementHover\n} from \"~/browser\"\nimport { renderTooltip } from \"~/templates\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tooltip\n */\nexport interface Tooltip {\n  active: boolean                      /* Tooltip is active */\n  offset: ElementOffset                /* Tooltip offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for tooltips\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch tooltip\n *\n * This function will append the tooltip temporarily to compute its width,\n * which is necessary for correct centering, and then removing it again.\n *\n * @param el - Tooltip element\n * @param host - Host element\n *\n * @returns Tooltip observable\n */\nexport function watchTooltip(\n  el: HTMLElement, host: HTMLElement\n): Observable<Tooltip> {\n  document.body.append(el)\n\n  /* Compute width and remove tooltip immediately */\n  const { width } = getElementSize(el)\n  el.style.setProperty(\"--md-tooltip-width\", `${width}px`)\n  el.remove()\n\n  /* Retrieve and watch containing element */\n  const container = getElementContainer(host)\n  const scroll$ =\n    typeof container !== \"undefined\"\n      ? watchElementContentOffset(container)\n      : of({ x: 0, y: 0 })\n\n  /* Compute tooltip visibility */\n  const active$ = merge(\n    watchElementFocus(host),\n    watchElementHover(host)\n  )\n    .pipe(\n      distinctUntilChanged()\n    )\n\n  /* Compute tooltip offset */\n  return combineLatest([active$, scroll$])\n    .pipe(\n      map(([active, scroll]) => {\n        let { x, y } = getElementOffset(host)\n        const size = getElementSize(host)\n\n        /**\n         * Experimental: fix handling of tables - see https://bit.ly/3TQEj5O\n         *\n         * If this proves to be a viable fix, we should refactor tooltip\n         * positioning and somehow streamline the current process. This might\n         * also fix positioning for annotations inside tables, which is another\n         * limitation.\n         */\n        const table = host.closest(\"table\")\n        if (table && host.parentElement) {\n          x += table.offsetLeft + host.parentElement.offsetLeft\n          y += table.offsetTop  + host.parentElement.offsetTop\n        }\n        return {\n          active,\n          offset: {\n            x: x - scroll.x + size.width  / 2 - width / 2,\n            y: y - scroll.y + size.height + 8\n          }\n        }\n      })\n    )\n}\n\n/**\n * Mount tooltip\n *\n * @param el - Host element\n *\n * @returns Tooltip component observable\n */\nexport function mountTooltip(\n  el: HTMLElement\n): Observable<Component<Tooltip>> {\n  const title = el.title\n  if (!title.length)\n    return EMPTY\n\n  /* Render tooltip and set title from host element */\n  const id = `__tooltip_${sequence++}`\n  const tooltip = renderTooltip(id, \"inline\")\n  const typeset = getElement(\".md-typeset\", tooltip)\n  typeset.innerHTML = title\n\n  /* Mount component on subscription */\n  return defer(() => {\n    const push$ = new Subject<Tooltip>()\n    push$.subscribe({\n\n      /* Handle emission */\n      next({ offset }) {\n        tooltip.style.setProperty(\"--md-tooltip-x\", `${offset.x}px`)\n        tooltip.style.setProperty(\"--md-tooltip-y\", `${offset.y}px`)\n      },\n\n      /* Handle complete */\n      complete() {\n        tooltip.style.removeProperty(\"--md-tooltip-x\")\n        tooltip.style.removeProperty(\"--md-tooltip-y\")\n      }\n    })\n\n    /* Toggle tooltip presence to mitigate empty lines when copying */\n    merge(\n      push$.pipe(filter(({ active }) => active)),\n      push$.pipe(debounceTime(250), filter(({ active }) => !active))\n    )\n      .subscribe({\n\n        /* Handle emission */\n        next({ active }) {\n          if (active) {\n            el.insertAdjacentElement(\"afterend\", tooltip)\n            el.setAttribute(\"aria-describedby\", id)\n            el.removeAttribute(\"title\")\n          } else {\n            tooltip.remove()\n            el.removeAttribute(\"aria-describedby\")\n            el.setAttribute(\"title\", title)\n          }\n        },\n\n        /* Handle complete */\n        complete() {\n          tooltip.remove()\n          el.removeAttribute(\"aria-describedby\")\n          el.setAttribute(\"title\", title)\n        }\n      })\n\n    /* Toggle tooltip visibility */\n    push$\n      .pipe(\n        auditTime(16, animationFrameScheduler)\n      )\n        .subscribe(({ active }) => {\n          tooltip.classList.toggle(\"md-tooltip--active\", active)\n        })\n\n    // @todo - refactor positioning together with annotations \u2013 there are\n    // several things that overlap and are identical in handling\n\n    /* Track relative origin of tooltip */\n    push$\n      .pipe(\n        throttleTime(125, animationFrameScheduler),\n        filter(() => !!el.offsetParent),\n        map(() => el.offsetParent!.getBoundingClientRect()),\n        map(({ x }) => x)\n      )\n      .subscribe({\n\n        /* Handle emission */\n        next(origin) {\n          if (origin)\n            tooltip.style.setProperty(\"--md-tooltip-0\", `${-origin}px`)\n          else\n            tooltip.style.removeProperty(\"--md-tooltip-0\")\n        },\n\n        /* Handle complete */\n        complete() {\n          tooltip.style.removeProperty(\"--md-tooltip-0\")\n        }\n      })\n\n    /* Create and return component */\n    return watchTooltip(tooltip, el)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n    .pipe(\n      subscribeOn(asyncScheduler)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  bufferCount,\n  combineLatest,\n  combineLatestWith,\n  defer,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  endWith,\n  filter,\n  from,\n  ignoreElements,\n  map,\n  mergeMap,\n  mergeWith,\n  of,\n  shareReplay,\n  startWith,\n  switchMap,\n  takeUntil\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElements,\n  watchElementSize,\n  watchToggle\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Main } from \"../../main\"\nimport { Tooltip, mountTooltip } from \"../../tooltip\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface Header {\n  height: number                       /* Header visible height */\n  hidden: boolean                      /* Header is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dependencies\n */\ninterface Dependencies {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n  main$: Observable<Main>              /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute whether the header is hidden\n *\n * If the user scrolls past a certain threshold, the header can be hidden when\n * scrolling down, and shown when scrolling up.\n *\n * @param dependencies - Dependencies\n *\n * @returns Toggle observable\n */\nfunction isHidden(\n  { viewport$ }: Pick<Dependencies, \"viewport$\">\n): Observable<boolean> {\n  if (!feature(\"header.autohide\"))\n    return of(false)\n\n  /* Compute direction and turning point */\n  const direction$ = viewport$\n    .pipe(\n      map(({ offset: { y } }) => y),\n      bufferCount(2, 1),\n      map(([a, b]) => [a < b, b] as const),\n      distinctUntilKeyChanged(0)\n    )\n\n  /* Compute whether header should be hidden */\n  const hidden$ = combineLatest([viewport$, direction$])\n    .pipe(\n      filter(([{ offset }, [, y]]) => Math.abs(y - offset.y) > 100),\n      map(([, [direction]]) => direction),\n      distinctUntilChanged()\n    )\n\n  /* Compute threshold for hiding */\n  const search$ = watchToggle(\"search\")\n  return combineLatest([viewport$, search$])\n    .pipe(\n      map(([{ offset }, search]) => offset.y > 400 && !search),\n      distinctUntilChanged(),\n      switchMap(active => active ? hidden$ : of(false)),\n      startWith(false)\n    )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header\n *\n * @param el - Header element\n * @param dependencies - Dependencies\n *\n * @returns Header observable\n */\nexport function watchHeader(\n  el: HTMLElement, dependencies: Pick<Dependencies, \"viewport$\">\n): Observable<Header> {\n  return defer(() => combineLatest([\n    watchElementSize(el),\n    isHidden(dependencies)\n  ]))\n    .pipe(\n      map(([{ height }, hidden]) => ({\n        height,\n        hidden\n      })),\n      distinctUntilChanged((a, b) => (\n        a.height === b.height &&\n        a.hidden === b.hidden\n      )),\n      shareReplay(1)\n    )\n}\n\n/**\n * Mount header\n *\n * This function manages the different states of the header, i.e. whether it's\n * hidden or rendered with a shadow. This depends heavily on the main area.\n *\n * @param el - Header element\n * @param dependencies - Dependencies\n *\n * @returns Header component observable\n */\nexport function mountHeader(\n  el: HTMLElement, { header$, main$ }: Dependencies\n): Observable<Component<Header | Tooltip>> {\n  return defer(() => {\n    const push$ = new Subject<Main>()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n    push$\n      .pipe(\n        distinctUntilKeyChanged(\"active\"),\n        combineLatestWith(header$)\n      )\n        .subscribe(([{ active }, { hidden }]) => {\n          el.classList.toggle(\"md-header--shadow\", active && !hidden)\n          el.hidden = hidden\n        })\n\n    /* Mount tooltips, if enabled */\n    const tooltips = from(getElements(\"[title]\", el))\n      .pipe(\n        filter(() => feature(\"content.tooltips\")),\n        mergeMap(child => mountTooltip(child))\n      )\n\n    /* Link to main area */\n    main$.subscribe(push$)\n\n    /* Create and return component */\n    return header$\n      .pipe(\n        takeUntil(done$),\n        map(state => ({ ref: el, ...state })),\n        mergeWith(tooltips.pipe(takeUntil(done$)))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  defer,\n  distinctUntilKeyChanged,\n  finalize,\n  map,\n  tap\n} from \"rxjs\"\n\nimport {\n  Viewport,\n  getElementSize,\n  getOptionalElement,\n  watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Header } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface HeaderTitle {\n  active: boolean                      /* Header title is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header title\n *\n * @param el - Heading element\n * @param options - Options\n *\n * @returns Header title observable\n */\nexport function watchHeaderTitle(\n  el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable<HeaderTitle> {\n  return watchViewportAt(el, { viewport$, header$ })\n    .pipe(\n      map(({ offset: { y } }) => {\n        const { height } = getElementSize(el)\n        return {\n          active: height > 0 && y >= height\n        }\n      }),\n      distinctUntilKeyChanged(\"active\")\n    )\n}\n\n/**\n * Mount header title\n *\n * This function swaps the header title from the site title to the title of the\n * current page when the user scrolls past the first headline.\n *\n * @param el - Header title element\n * @param options - Options\n *\n * @returns Header title component observable\n */\nexport function mountHeaderTitle(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<HeaderTitle>> {\n  return defer(() => {\n    const push$ = new Subject<HeaderTitle>()\n    push$.subscribe({\n\n      /* Handle emission */\n      next({ active }) {\n        el.classList.toggle(\"md-header__title--active\", active)\n      },\n\n      /* Handle complete */\n      complete() {\n        el.classList.remove(\"md-header__title--active\")\n      }\n    })\n\n    /* Obtain headline, if any */\n    const heading = getOptionalElement(\".md-content h1\")\n    if (typeof heading === \"undefined\")\n      return EMPTY\n\n    /* Create and return component */\n    return watchHeaderTitle(heading, options)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  combineLatest,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  map,\n  switchMap\n} from \"rxjs\"\n\nimport {\n  Viewport,\n  watchElementSize\n} from \"~/browser\"\n\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Main area\n */\nexport interface Main {\n  offset: number                       /* Main area top offset */\n  height: number                       /* Main area visible height */\n  active: boolean                      /* Main area is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch main area\n *\n * This function returns an observable that computes the visual parameters of\n * the main area which depends on the viewport vertical offset and height, as\n * well as the height of the header element, if the header is fixed.\n *\n * @param el - Main area element\n * @param options - Options\n *\n * @returns Main area observable\n */\nexport function watchMain(\n  el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable<Main> {\n\n  /* Compute necessary adjustment for header */\n  const adjust$ = header$\n    .pipe(\n      map(({ height }) => height),\n      distinctUntilChanged()\n    )\n\n  /* Compute the main area's top and bottom borders */\n  const border$ = adjust$\n    .pipe(\n      switchMap(() => watchElementSize(el)\n        .pipe(\n          map(({ height }) => ({\n            top:    el.offsetTop,\n            bottom: el.offsetTop + height\n          })),\n          distinctUntilKeyChanged(\"bottom\")\n        )\n      )\n    )\n\n  /* Compute the main area's offset, visible height and if we scrolled past */\n  return combineLatest([adjust$, border$, viewport$])\n    .pipe(\n      map(([header, { top, bottom }, { offset: { y }, size: { height } }]) => {\n        height = Math.max(0, height\n          - Math.max(0, top    - y,  header)\n          - Math.max(0, height + y - bottom)\n        )\n        return {\n          offset: top - header,\n          height,\n          active: top - header <= y\n        }\n      }),\n      distinctUntilChanged((a, b) => (\n        a.offset === b.offset &&\n        a.height === b.height &&\n        a.active === b.active\n      ))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  asyncScheduler,\n  defer,\n  filter,\n  finalize,\n  fromEvent,\n  map,\n  mergeMap,\n  observeOn,\n  of,\n  repeat,\n  shareReplay,\n  skip,\n  startWith,\n  takeUntil,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { getElements, watchMedia } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\nimport {\n  Component,\n  getComponentElement\n} from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Palette colors\n */\nexport interface PaletteColor {\n  media?: string                       /* Media query */\n  scheme?: string                      /* Color scheme */\n  primary?: string                     /* Primary color */\n  accent?: string                      /* Accent color */\n}\n\n/**\n * Palette\n */\nexport interface Palette {\n  index: number                        /* Palette index */\n  color: PaletteColor                  /* Palette colors */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch color palette\n *\n * @param inputs - Color palette element\n *\n * @returns Color palette observable\n */\nexport function watchPalette(\n  inputs: HTMLInputElement[]\n): Observable<Palette> {\n  const current = __md_get<Palette>(\"__palette\") || {\n    index: inputs.findIndex(input => matchMedia(\n      input.getAttribute(\"data-md-color-media\")!\n    ).matches)\n  }\n\n  /* Emit changes in color palette */\n  const index = Math.max(0, Math.min(current.index, inputs.length - 1))\n  return of(...inputs)\n    .pipe(\n      mergeMap(input => fromEvent(input, \"change\").pipe(map(() => input))),\n      startWith(inputs[index]),\n      map(input => ({\n        index: inputs.indexOf(input),\n        color: {\n          media:   input.getAttribute(\"data-md-color-media\"),\n          scheme:  input.getAttribute(\"data-md-color-scheme\"),\n          primary: input.getAttribute(\"data-md-color-primary\"),\n          accent:  input.getAttribute(\"data-md-color-accent\")\n        }\n      } as Palette)),\n      shareReplay(1)\n    )\n}\n\n/**\n * Mount color palette\n *\n * @param el - Color palette element\n *\n * @returns Color palette component observable\n */\nexport function mountPalette(\n  el: HTMLElement\n): Observable<Component<Palette>> {\n  const inputs = getElements<HTMLInputElement>(\"input\", el)\n  const meta = h(\"meta\", { name: \"theme-color\" })\n  document.head.appendChild(meta)\n\n  // Add color scheme meta tag\n  const scheme = h(\"meta\", { name: \"color-scheme\" })\n  document.head.appendChild(scheme)\n\n  /* Mount component on subscription */\n  const media$ = watchMedia(\"(prefers-color-scheme: light)\")\n  return defer(() => {\n    const push$ = new Subject<Palette>()\n    push$.subscribe(palette => {\n      document.body.setAttribute(\"data-md-color-switching\", \"\")\n\n      /* Retrieve color palette for system preference */\n      if (palette.color.media === \"(prefers-color-scheme)\") {\n        const media = matchMedia(\"(prefers-color-scheme: light)\")\n        const input = document.querySelector(media.matches\n          ? \"[data-md-color-media='(prefers-color-scheme: light)']\"\n          : \"[data-md-color-media='(prefers-color-scheme: dark)']\"\n        )!\n\n        /* Retrieve colors for system preference */\n        palette.color.scheme  = input.getAttribute(\"data-md-color-scheme\")!\n        palette.color.primary = input.getAttribute(\"data-md-color-primary\")!\n        palette.color.accent  = input.getAttribute(\"data-md-color-accent\")!\n      }\n\n      /* Set color palette */\n      for (const [key, value] of Object.entries(palette.color))\n        document.body.setAttribute(`data-md-color-${key}`, value)\n\n      /* Set toggle visibility */\n      for (let index = 0; index < inputs.length; index++) {\n        const label = inputs[index].nextElementSibling\n        if (label instanceof HTMLElement)\n          label.hidden = palette.index !== index\n      }\n\n      /* Persist preference in local storage */\n      __md_set(\"__palette\", palette)\n    })\n\n    // Handle color switch on Enter or Space - see https://t.ly/YIhVj\n    fromEvent<KeyboardEvent>(el, \"keydown\").pipe(\n      filter(ev => ev.key === \"Enter\"),\n      withLatestFrom(push$, (_, palette) => palette)\n    )\n      .subscribe(({ index }) => {\n        index = (index + 1) % inputs.length\n        inputs[index].click()\n        inputs[index].focus()\n      })\n\n    /* Update theme-color meta tag */\n    push$\n      .pipe(\n        map(() => {\n          const header = getComponentElement(\"header\")\n          const style  = window.getComputedStyle(header)\n\n          // Set color scheme\n          scheme.content = style.colorScheme\n\n          /* Return color in hexadecimal format */\n          return style.backgroundColor.match(/\\d+/g)!\n            .map(value => (+value).toString(16).padStart(2, \"0\"))\n            .join(\"\")\n        })\n      )\n        .subscribe(color => meta.content = `#${color}`)\n\n    /* Revert transition durations after color switch */\n    push$.pipe(observeOn(asyncScheduler))\n      .subscribe(() => {\n        document.body.removeAttribute(\"data-md-color-switching\")\n      })\n\n    /* Create and return component */\n    return watchPalette(inputs)\n      .pipe(\n        takeUntil(media$.pipe(skip(1))),\n        repeat(),\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  defer,\n  finalize,\n  map,\n  tap\n} from \"rxjs\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Progress indicator\n */\nexport interface Progress {\n  value: number                        // Progress value\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  progress$: Subject<number>           // Progress subject\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount progress indicator\n *\n * @param el - Progress indicator element\n * @param options - Options\n *\n * @returns Progress indicator component observable\n */\nexport function mountProgress(\n  el: HTMLElement, { progress$ }: MountOptions\n): Observable<Component<Progress>> {\n\n  // Mount component on subscription\n  return defer(() => {\n    const push$ = new Subject<Progress>()\n    push$.subscribe(({ value }) => {\n      el.style.setProperty(\"--md-progress-value\", `${value}`)\n    })\n\n    // Create and return component\n    return progress$\n      .pipe(\n        tap(value => push$.next({ value })),\n        finalize(() => push$.complete()),\n        map(value => ({ ref: el, value }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  catchError,\n  map,\n  of,\n  share\n} from \"rxjs\"\n\nimport {\n  getElement,\n  getElements,\n  requestXML\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sitemap, i.e. a list of URLs\n */\nexport type Sitemap = Map<string, URL[]>\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Resolve URL to the given base URL\n *\n * When serving the site with instant navigation, MkDocs will set the hostname\n * to the value as specified in `dev_addr`, but the browser allows for several\n * hostnames to be used: `localhost`, `127.0.0.1` or even `0.0.0.0`, depending\n * on configuration. This function resolves the URL to the given hostname.\n *\n * @param url - URL\n * @param base - Base URL\n *\n * @returns Resolved URL\n */\nfunction resolve(url: URL, base: URL) {\n  url.protocol = base.protocol\n  url.hostname = base.hostname\n  return url\n}\n\n/**\n * Extract sitemap from document\n *\n * This function extracts the URLs and alternate links from the document, and\n * associates alternate links to the original URL as found in `loc`, allowing\n * the browser to navigate to the correct page when switching languages. The\n * format of the sitemap is expected to adhere to:\n *\n * ``` xml\n * <urlset>\n *   <url>\n *     <loc>...</loc>\n *     <xhtml:link rel=\"alternate\" hreflang=\"en\" href=\"...\"/>\n *     <xhtml:link rel=\"alternate\" hreflang=\"de\" href=\"...\"/>\n *     ...\n *   </url>\n *   ...\n * </urlset>\n * ```\n *\n * @param document - Document\n * @param base - Base URL\n *\n * @returns Sitemap\n */\nfunction extract(document: Document, base: URL): Sitemap {\n  const sitemap: Sitemap = new Map()\n  for (const el of getElements(\"url\", document)) {\n    const url = getElement(\"loc\", el)\n\n    // Create entry for location and add it to the list of links\n    const links = [resolve(new URL(url.textContent!), base)]\n    sitemap.set(`${links[0]}`, links)\n\n    // Attach alternate links to current entry\n    for (const link of getElements(\"[rel=alternate]\", el)) {\n      const href = link.getAttribute(\"href\")\n      if (href != null)\n        links.push(resolve(new URL(href), base))\n    }\n  }\n\n  // Return sitemap\n  return sitemap\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the sitemap for the given base URL\n *\n * If a network or parsing error occurs, we just default to an empty sitemap,\n * which means the caller should fall back to regular navigation.\n *\n * @param base - Base URL\n *\n * @returns Sitemap observable\n */\nexport function fetchSitemap(base: URL | string): Observable<Sitemap> {\n  return requestXML(new URL(\"sitemap.xml\", base))\n    .pipe(\n      map(document => extract(document, new URL(base))),\n      catchError(() => of(new Map())),\n      share()\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  catchError,\n  filter,\n  fromEvent,\n  map,\n  mergeMap,\n  of,\n  switchMap\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n  getElements,\n  getLocation,\n  setLocation\n} from \"~/browser\"\n\nimport { Sitemap, fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n  document$: Observable<Document>      /* Document subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up alternate version navigation\n *\n * @param options - Options\n */\nexport function setupAlternate(\n  { document$ }: SetupOptions\n): void {\n  const alternate = new Map<string, Sitemap>()\n\n  // Fetch sitemaps for all discovered alternate versions\n  document$\n    .pipe(\n      switchMap(() => getElements<HTMLLinkElement>(\"link[rel=alternate]\")),\n      map(el => new URL(el.href)),\n      filter(url => !alternate.has(url.toString())),\n      mergeMap(url => fetchSitemap(url)\n        .pipe(\n          map(sitemap => [url, sitemap] as const),\n          catchError(() => EMPTY)\n        )\n      )\n    )\n\n      // Persist fully qualified URL, because alternate versions may be on\n      // entirely different domains, but as long a proper cross-origin policy\n      // is set, we can still navigate to them. Also, remove the trailing slash\n      // to normalize the URL\n      .subscribe(([url, sitemap]) => {\n        alternate.set(url.toString().replace(/\\/$/, \"\"), sitemap)\n      })\n\n  // Intercept alternate navigation - when refactoring instant navigation later,\n  // we should provide a single stream of events that we all subscribe to, and\n  // from which we implement version and alternate language navigation\n  fromEvent<MouseEvent>(document.body, \"click\")\n    .pipe(\n      filter(ev => !ev.metaKey && !ev.ctrlKey),\n      switchMap(ev => {\n        if (ev.target instanceof Element) {\n          const el = ev.target.closest(\"a\")\n\n          // Now, we need to check whether the navigation target is an alternate\n          // version. If so, we need to prevent the default navigation behavior\n          // and instead navigate to the correct page, if we can resolve it.\n          if (el && !el.target) {\n            const result = [...alternate].find(([url]) => (\n              el.href.startsWith(`${url}/`)\n            ))\n\n            // Check, that we got a sitemap at least, so we know that we either\n            // navigate on the current site, or to an alternate site\n            if (typeof result === \"undefined\")\n              return EMPTY\n\n            // Check that we go to and alternate site\n            const [url, sitemap] = result\n            const location = getLocation()\n            if (location.href.startsWith(url))\n              return EMPTY\n\n            // Isolate the part to which we navigate and check if it's in the\n            // sitemap that we resolved earlier @todo: refactor this, as the\n            // semantics slightly changed due to the new sitemap resolution\n            // implementation, which normalizes all URLs.\n            const config = configuration()\n            let path = location.href.replace(config.base, \"\")\n            path = `${url}/${path}`\n            const target = sitemap.has(path.split(\"#\")[0])\n              ? new URL(path, config.base)\n              : new URL(url)\n\n            // Steal navigation and navigate to the correct page\n            ev.preventDefault()\n            return of(target)\n          }\n        }\n        return EMPTY\n      })\n    )\n    .subscribe(url => setLocation(url, true))\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n  Observable,\n  Subject,\n  map,\n  tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n  alert$: Subject<string>              /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Extract text to copy\n *\n * @param el - HTML element\n *\n * @returns Extracted text\n */\nfunction extract(el: HTMLElement): string {\n  el.setAttribute(\"data-md-copying\", \"\")\n  const copy = el.closest(\"[data-copy]\")\n  const text = copy\n    ? copy.getAttribute(\"data-copy\")!\n    : el.innerText\n  el.removeAttribute(\"data-md-copying\")\n  return text.trimEnd()\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up Clipboard.js integration\n *\n * @param options - Options\n */\nexport function setupClipboardJS(\n  { alert$ }: SetupOptions\n): void {\n  if (ClipboardJS.isSupported()) {\n    new Observable<ClipboardJS.Event>(subscriber => {\n      new ClipboardJS(\"[data-clipboard-target], [data-clipboard-text]\", {\n        text: el => (\n          el.getAttribute(\"data-clipboard-text\")! ||\n          extract(getElement(\n            el.getAttribute(\"data-clipboard-target\")!\n          ))\n        )\n      })\n        .on(\"success\", ev => subscriber.next(ev))\n    })\n      .pipe(\n        tap(ev => {\n          const trigger = ev.trigger as HTMLElement\n          trigger.focus()\n        }),\n        map(() => translation(\"clipboard.copied\"))\n      )\n        .subscribe(alert$)\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  catchError,\n  combineLatestWith,\n  concat,\n  debounceTime,\n  distinct,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  endWith,\n  exhaustMap,\n  fromEvent,\n  ignoreElements,\n  map,\n  merge,\n  of,\n  share,\n  switchMap,\n  take,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElements,\n  getLocation,\n  getOptionalElement,\n  requestHTML,\n  setLocation,\n  setLocationHash\n} from \"~/browser\"\nimport { getComponentElement } from \"~/components\"\n\nimport { Sitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n  sitemap$: Observable<Sitemap>        // Sitemap observable\n  location$: Subject<URL>              // Location subject\n  viewport$: Observable<Viewport>      // Viewport observable\n  progress$: Subject<number>           // Progress subject\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Handle clicks on internal URLs while skipping external URLs\n *\n * @param ev - Mouse event\n * @param sitemap - Sitemap\n *\n * @returns Anchor observable\n */\nfunction handle(\n  ev: MouseEvent, sitemap: Sitemap\n): Observable<HTMLAnchorElement> {\n  if (!(ev.target instanceof Element))\n    return EMPTY\n\n  // Skip, as target is not within a link - clicks on non-link elements are\n  // also captured, which we need to exclude from processing\n  const el = ev.target.closest(\"a\")\n  if (el === null)\n    return EMPTY\n\n  // Skip, as link opens in new window - we now know we have captured a click\n  // on a link, but the link either has a `target` property defined, or the\n  // user pressed the `meta` or `ctrl` key to open it in a new window. Thus,\n  // we need to filter this event as well.\n  if (el.target || ev.metaKey || ev.ctrlKey)\n    return EMPTY\n\n  // Next, we must check if the URL is relevant for us, i.e., if it's an\n  // internal link to a page that is managed by MkDocs. Only then we can be\n  // sure that the structure of the page to be loaded adheres to the current\n  // document structure and can subsequently be injected into it without doing\n  // a full reload. For this reason, we must canonicalize the URL by removing\n  // all search parameters and hash fragments.\n  const url = new URL(el.href)\n  url.search = url.hash = \"\"\n\n  // Skip, if URL is not included in the sitemap - this could be the case when\n  // linking between versions or languages, or to another page that the author\n  // included as part of the build, but that is not managed by MkDocs. In that\n  // case we must not continue with instant navigation.\n  if (!sitemap.has(`${url}`))\n    return EMPTY\n\n  // We now know that we have a link to an internal page, so we prevent the\n  // browser from navigation and emit the URL for instant navigation. Note that\n  // this also includes anchor links, which means we need to implement anchor\n  // positioning ourselves. The reason for this is that if we wouldn't manage\n  // anchor links as well, scroll restoration will not work correctly (e.g.\n  // following an anchor link and scrolling).\n  ev.preventDefault()\n  return of(el)\n}\n\n/**\n * Create a map of head elements for lookup and replacement\n *\n * @param document - Document\n *\n * @returns Tag map\n */\nfunction head(document: Document): Map<string, HTMLElement> {\n  const tags = new Map<string, HTMLElement>()\n  for (const el of getElements(\":scope > *\", document.head))\n    tags.set(el.outerHTML, el)\n\n  // Return tag map\n  return tags\n}\n\n/**\n * Resolve relative URLs in the given document\n *\n * This function resolves relative `href` and `src` attributes, which can belong\n * to all sorts of tags, like meta tags, links, images, scripts and more.\n *\n * @param document - Document\n *\n * @returns Document observable\n */\nfunction resolve(document: Document): Observable<Document> {\n  for (const el of getElements(\"[href], [src]\", document))\n    for (const key of [\"href\", \"src\"]) {\n      const value = el.getAttribute(key)\n      if (value && !/^(?:[a-z]+:)?\\/\\//i.test(value)) {\n        // @ts-expect-error - trick: self-assign to resolve URL\n        el[key] = el[key]\n        break\n      }\n    }\n\n  // Return document observable\n  return of(document)\n}\n\n/**\n * Inject the contents of a document into the current one\n *\n * @param next - Next document\n *\n * @returns Document observable\n */\nfunction inject(next: Document): Observable<Document> {\n  for (const selector of [\n    \"[data-md-component=announce]\",\n    \"[data-md-component=container]\",\n    \"[data-md-component=header-topic]\",\n    \"[data-md-component=outdated]\",\n    \"[data-md-component=logo]\",\n    \"[data-md-component=skip]\",\n    ...feature(\"navigation.tabs.sticky\")\n      ? [\"[data-md-component=tabs]\"]\n      : []\n  ]) {\n    const source = getOptionalElement(selector)\n    const target = getOptionalElement(selector, next)\n    if (\n      typeof source !== \"undefined\" &&\n      typeof target !== \"undefined\"\n    ) {\n      source.replaceWith(target)\n    }\n  }\n\n  // Update meta tags\n  const tags = head(document)\n  for (const [html, el] of head(next))\n    if (tags.has(html))\n      tags.delete(html)\n    else\n      document.head.appendChild(el)\n\n  // Remove meta tags that are not present in the new document\n  for (const el of tags.values()) {\n    const name = el.getAttribute(\"name\")\n    // @todo - find a better way to handle attributes we add dynamically in\n    // other components without mounting components on every navigation, as\n    // this might impact overall performance - see https://t.ly/ehp_O\n    if (name !== \"theme-color\" && name !== \"color-scheme\")\n      el.remove()\n  }\n\n  // After components and meta tags were replaced, re-evaluate scripts\n  // that were provided by the author as part of Markdown files\n  const container = getComponentElement(\"container\")\n  return concat(getElements(\"script\", container))\n    .pipe(\n      switchMap(el => {\n        const script = next.createElement(\"script\")\n        if (el.src) {\n          for (const name of el.getAttributeNames())\n            script.setAttribute(name, el.getAttribute(name)!)\n          el.replaceWith(script)\n\n          // Complete when script is loaded\n          return new Observable(observer => {\n            script.onload = () => observer.complete()\n          })\n\n        // Complete immediately\n        } else {\n          script.textContent = el.textContent\n          el.replaceWith(script)\n          return EMPTY\n        }\n      }),\n      ignoreElements(),\n      endWith(document)\n    )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up instant navigation\n *\n * This is a heavily orchestrated operation - see inline comments to learn how\n * this works with Material for MkDocs, and how you can hook into it.\n *\n * @param options - Options\n *\n * @returns Document observable\n */\nexport function setupInstantNavigation(\n  { sitemap$, location$, viewport$, progress$ }: SetupOptions\n): Observable<Document> {\n  if (location.protocol === \"file:\")\n    return EMPTY\n\n  // Since we might be on a slow connection, the user might trigger multiple\n  // instant navigation events that overlap. MkDocs produces relative URLs for\n  // all internal links, which becomes a problem in this case, because we need\n  // to change the base URL the moment the user clicks a link that should be\n  // intercepted in order to be consistent with popstate, which means that the\n  // base URL would now be incorrect when resolving another relative link from\n  // the same site. For this reason we always resolve all relative links to\n  // absolute links, so we can be sure this never happens.\n  of(document)\n    .subscribe(resolve)\n\n  // --------------------------------------------------------------------------\n  // Navigation interception\n  // --------------------------------------------------------------------------\n\n  // Intercept navigation - to keep the number of event listeners down we use\n  // the fact that uncaptured events bubble up to the body. This has the nice\n  // property that we don't need to detach and then re-attach event listeners\n  // when the document is replaced after a navigation event.\n  const instant$ =\n    fromEvent<MouseEvent>(document.body, \"click\")\n      .pipe(\n        combineLatestWith(sitemap$),\n        switchMap(([ev, sitemap]) => handle(ev, sitemap)),\n        map(({ href }) => new URL(href)),\n        share()\n      )\n\n  // Intercept history change events, e.g. when the user uses the browser's\n  // back or forward buttons, and emit new location for fetching and parsing\n  const history$ =\n    fromEvent<PopStateEvent>(window, \"popstate\")\n      .pipe(\n        map(getLocation),\n        share()\n      )\n\n  // While it would be better UX to defer navigation events until the document\n  // is fully fetched and parsed, we must schedule it here to synchronize with\n  // popstate events, as they are emitted immediately. Moreover we need to\n  // store the current viewport offset for scroll restoration later on.\n  instant$.pipe(withLatestFrom(viewport$))\n    .subscribe(([url, { offset }]) => {\n      history.replaceState(offset, \"\")\n      history.pushState(null, \"\", url)\n    })\n\n  // Emit URLs that should be fetched via instant navigation on location subject\n  // which was passed into this function. The state of instant navigation can be\n  // intercepted by other parts of the application, which can synchronously back\n  // up or restore state before or after instant navigation happens.\n  merge(instant$, history$)\n    .subscribe(location$)\n\n  // --------------------------------------------------------------------------\n  // Fetching and parsing\n  // --------------------------------------------------------------------------\n\n  // Fetch document - we deduplicate requests to the same location, so we don't\n  // end up with multiple requests for the same page. We use `switchMap`, since\n  // we want to cancel the previous request when a new one is triggered, which\n  // is automatically handled by the observable returned by `request`. This is\n  // essential to ensure a good user experience, as we don't want to load pages\n  // that are not needed anymore, e.g., when the user clicks multiple links in\n  // quick succession or on slow connections. If the request fails for some\n  // reason, we fall back and use regular navigation, forcing a reload.\n  const document$ =\n    location$.pipe(\n      distinctUntilKeyChanged(\"pathname\"),\n      switchMap(url => requestHTML(url, { progress$ })\n        .pipe(\n          catchError(() => {\n            setLocation(url, true)\n            return EMPTY\n          })\n        )\n      ),\n\n      // The document was successfully fetched and parsed, so we can inject its\n      // contents into the currently active document\n      switchMap(resolve),\n      switchMap(inject),\n      share()\n    )\n\n  // --------------------------------------------------------------------------\n  // Scroll restoration\n  // --------------------------------------------------------------------------\n\n  // Handle scroll restoration - we must restore the viewport offset after the\n  // document has been fetched and injected, and every time the user clicks an\n  // anchor that leads to an element on the same page, which might also happen\n  // when the user uses the back or forward button.\n  merge(\n    document$.pipe(withLatestFrom(location$, (_, url) => url)),\n\n    // Handle instant navigation events that are triggered by the user clicking\n    // on an anchor link with a hash fragment different from the current one, as\n    // well as from popstate events, which are emitted when the user navigates\n    // back and forth between pages.\n    document$.pipe(\n      switchMap(() => location$),\n      distinctUntilKeyChanged(\"hash\"),\n    ),\n\n    // Handle instant navigation events that are triggered by the user clicking\n    // on an anchor link with the same hash fragment as the current one in the\n    // URL. It is essential that we only intercept those from instant navigation\n    // events and not from history change events, or we'll end up in and endless\n    // loop. The top-level history entry must be removed, as it will be replaced\n    // with a new one, which would otherwise lead to a duplicate entry.\n    location$.pipe(\n      distinctUntilChanged((a, b) => (\n        a.pathname === b.pathname &&\n        a.hash     === b.hash\n      )),\n      switchMap(() => instant$),\n      tap(() => history.back())\n    )\n  )\n    .subscribe(url => {\n\n      // Check if the current history entry has a state, which happens when the\n      // user presses the back or forward button to visit a page we've already\n      // seen. If there's no state, it means a new page was visited and we must\n      // scroll to the top, unless an anchor is given.\n      if (history.state !== null || !url.hash) {\n        window.scrollTo(0, history.state?.y ?? 0)\n      } else {\n        history.scrollRestoration = \"auto\"\n        setLocationHash(url.hash)\n        history.scrollRestoration = \"manual\"\n      }\n    })\n\n  // Disable scroll restoration when an instant navigation event occurs, so the\n  // browser does not immediately set the viewport offset to the prior history\n  // entry, scrolling to the position on the same page, which would look odd.\n  // Instead, we manually restore the position once the page has loaded.\n  location$.subscribe(() => {\n    history.scrollRestoration = \"manual\"\n  })\n\n  // Enable scroll restoration before window unloads - this is essential to\n  // ensure that full reloads (F5) restore the viewport offset correctly. If\n  // only popstate events wouldn't reset the viewport offset prior to their\n  // emission, we could just reset this in popstate. Meh.\n  fromEvent(window, \"beforeunload\")\n    .subscribe(() => {\n      history.scrollRestoration = \"auto\"\n    })\n\n  // Track viewport offset, so we can restore it when the user navigates back\n  // and forth between pages. Note that this must be debounced and cannot be\n  // done in popstate, as popstate has already removed the entry from the\n  // history, which means it is too late.\n  viewport$.pipe(\n    distinctUntilKeyChanged(\"offset\"),\n    debounceTime(100)\n  )\n    .subscribe(({ offset }) => {\n      history.replaceState(offset, \"\")\n    })\n\n  // --------------------------------------------------------------------------\n  // Navigation prefetching\n  // --------------------------------------------------------------------------\n\n  // If prefetching is enabled, prefetch pages for links that would trigger\n  // inter-site navigation on mouse events - this should improve performance,\n  // since pages will be cached. Note that we exhaust map URLs, so we ensure\n  // that loading is properly debounced and we don't fill caches up to quickly.\n  if (feature(\"navigation.instant.prefetch\"))\n    merge(\n      fromEvent<MouseEvent>(document.body, \"mousemove\"),\n      fromEvent<MouseEvent>(document.body, \"focusin\")\n    )\n      .pipe(\n        combineLatestWith(sitemap$),\n        switchMap(([ev, sitemap]) => handle(ev, sitemap)),\n        debounceTime(25),\n        distinct(({ href }) => href),\n        exhaustMap(href => {\n          const link = document.createElement(\"link\")\n          link.rel = \"prefetch\"\n          link.href = href.toString()\n\n          // Instruct browser to prefetch link by adding a link tag of type\n          // prefetch to the head, and remove it again once the page was loaded\n          document.head.appendChild(link)\n          return fromEvent(link, \"load\")\n            .pipe(\n              map(() => link),\n              take(1)\n            )\n        })\n      )\n        .subscribe(link => link.remove())\n\n  // Return document observable\n  return document$\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchConfig } from \"../config\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search configuration\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n  config: SearchConfig\n): SearchHighlightFactoryFn {\n  // Hack: temporarily remove pure lookaheads and lookbehinds\n  const regex = config.separator.split(\"|\").map(term => {\n    const temp = term.replace(/(\\(\\?[!=<][^)]+\\))/g, \"\")\n    return temp.length === 0 ? \"\uFFFD\" : term\n  })\n    .join(\"|\")\n\n  const separator = new RegExp(regex, \"img\")\n  const highlight = (_: unknown, data: string, term: string) => {\n    return `${data}<mark data-md-highlight>${term}</mark>`\n  }\n\n  /* Return factory function */\n  return (query: string) => {\n    query = query\n      .replace(/[\\s*+\\-:~^]+/g, \" \")\n      .replace(/&/g, \"&amp;\")\n      .trim()\n\n    /* Create search term match expression */\n    const match = new RegExp(`(^|${config.separator}|)(${\n      query\n        .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n        .replace(separator, \"|\")\n    })`, \"img\")\n\n    /* Highlight string value */\n    return value => escapeHTML(value)\n      .replace(match, highlight)\n      .replace(/<\\/mark>(\\s+)<mark[^>]*>/img, \"$1\")\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SearchResult } from \"../../_\"\nimport { SearchIndex } from \"../../config\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search message type\n */\nexport const enum SearchMessageType {\n  SETUP,                               /* Search index setup */\n  READY,                               /* Search index ready */\n  QUERY,                               /* Search query */\n  RESULT                               /* Search results */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message containing the data necessary to setup the search index\n */\nexport interface SearchSetupMessage {\n  type: SearchMessageType.SETUP        /* Message type */\n  data: SearchIndex                    /* Message data */\n}\n\n/**\n * Message indicating the search index is ready\n */\nexport interface SearchReadyMessage {\n  type: SearchMessageType.READY        /* Message type */\n}\n\n/**\n * Message containing a search query\n */\nexport interface SearchQueryMessage {\n  type: SearchMessageType.QUERY        /* Message type */\n  data: string                         /* Message data */\n}\n\n/**\n * Message containing results for a search query\n */\nexport interface SearchResultMessage {\n  type: SearchMessageType.RESULT       /* Message type */\n  data: SearchResult                   /* Message data */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message exchanged with the search worker\n */\nexport type SearchMessage =\n  | SearchSetupMessage\n  | SearchReadyMessage\n  | SearchQueryMessage\n  | SearchResultMessage\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Type guard for search ready messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchReadyMessage(\n  message: SearchMessage\n): message is SearchReadyMessage {\n  return message.type === SearchMessageType.READY\n}\n\n/**\n * Type guard for search result messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchResultMessage(\n  message: SearchMessage\n): message is SearchResultMessage {\n  return message.type === SearchMessageType.RESULT\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  ObservableInput,\n  Subject,\n  first,\n  merge,\n  of,\n  switchMap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { watchToggle, watchWorker } from \"~/browser\"\n\nimport { SearchIndex } from \"../../config\"\nimport {\n  SearchMessage,\n  SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search worker\n *\n * This function creates and initializes a web worker that is used for search,\n * so that the user interface doesn't freeze. In general, the application does\n * not care how search is implemented, as long as the web worker conforms to\n * the format expected by the application as defined in `SearchMessage`. This\n * allows the author to implement custom search functionality, by providing a\n * custom web worker via configuration.\n *\n * Material for MkDocs' built-in search implementation makes use of Lunr.js, an\n * efficient and fast implementation for client-side search. Leveraging a tiny\n * iframe-based web worker shim, search is even supported for the `file://`\n * protocol, enabling search for local non-hosted builds.\n *\n * If the protocol is `file://`, search initialization is deferred to mitigate\n * freezing, as it's now synchronous by design - see https://bit.ly/3C521EO\n *\n * @see https://bit.ly/3igvtQv - How to implement custom search\n *\n * @param url - Worker URL\n * @param index$ - Search index observable input\n *\n * @returns Search worker\n */\nexport function setupSearchWorker(\n  url: string, index$: ObservableInput<SearchIndex>\n): Subject<SearchMessage> {\n  const worker$ = watchWorker<SearchMessage>(url)\n  merge(\n    of(location.protocol !== \"file:\"),\n    watchToggle(\"search\")\n  )\n    .pipe(\n      first(active => active),\n      switchMap(() => index$)\n    )\n      .subscribe(({ config, docs }) => worker$.next({\n        type: SearchMessageType.SETUP,\n        data: {\n          config,\n          docs,\n          options: {\n            suggest: feature(\"search.suggest\")\n          }\n        }\n      }))\n\n  /* Return search worker */\n  return worker$\n}\n", "import { Sitemap } from \"../../sitemap\"\n\n/** See docstring for `selectedVersionCorrespondingURL` for the meaning of these fields. */\ntype CorrespondingURLParams = {\n  selectedVersionSitemap: Sitemap\n  selectedVersionBaseURL: URL\n  currentLocation: URL\n  currentBaseURL: string\n}\n\n/**\n * Choose a URL to navigate to when the user chooses a version in the version\n * selector.\n *\n * The parameters in `params` are named as follows, in order to make it clearer\n * which parameter means what when invoking the function:\n *\n *  - selectedVersionSitemap: Sitemap - as obtained by fetchSitemap from `${selectedVersionBaseURL}/sitemap.xml`\n *\n *  - selectedVersionBaseURL: URL - usually `${currentBaseURL}/../selectedVersion`\n *\n *  - currentLocation: URL - current web browser location\n *\n *  - currentBaseURL: string - as obtained from `config.base`\n *\n * @param params - arguments with the meanings explained above.\n * @returns the URL to navigate to or null if we can't be sure that the\n * corresponding page to the current page exists in the selected version\n */\nexport function selectedVersionCorrespondingURL(\n  params: CorrespondingURLParams\n): URL | undefined {\n  const {selectedVersionSitemap,\n    selectedVersionBaseURL,\n    currentLocation,\n    currentBaseURL} = params\n  const current_path = safeURLParse(currentBaseURL)?.pathname\n  if (current_path === undefined) {\n    return\n  }\n  const currentRelativePath = stripPrefix(currentLocation.pathname, current_path)\n  if (currentRelativePath === undefined) {\n    return\n  }\n  const sitemapCommonPrefix = shortestCommonPrefix(selectedVersionSitemap.keys())\n  if (!selectedVersionSitemap.has(sitemapCommonPrefix)) {\n    // We could also check that `commonSitemapPrefix` ends in the canonical version,\n    // similarly to https://github.com/squidfunk/mkdocs-material/pull/7227. However,\n    // I don't believe that Mike/MkDocs ever generate sitemaps where it would matter\n    return\n  }\n\n  const potentialSitemapURL = safeURLParse(currentRelativePath, sitemapCommonPrefix)\n  if (!potentialSitemapURL || !selectedVersionSitemap.has(potentialSitemapURL.href)) {\n    return\n  }\n\n  const result = safeURLParse(currentRelativePath, selectedVersionBaseURL)\n  if (!result) {\n    return\n  }\n  result.hash = currentLocation.hash\n  result.search = currentLocation.search\n  return result\n}\n\n/**\n * A version of `new URL` that never throws. A polyfill for URL.parse() which is\n * not yet ubuquitous.\n *\n * @param url - passed to `new URL` constructor\n * @param base - passed to `new URL` constructor\n *\n * @returns `new URL(url, base)` or undefined if the URL is invalid.\n */\nfunction safeURLParse(url: string|URL, base?: string|URL): URL | undefined {\n  try {\n    return new URL(url, base)\n  } catch {\n    return\n  }\n}\n\n// Basic string manipulation\n\n/** Strip a given prefix from a function\n *\n * @param s - string\n * @param prefix - prefix to strip\n *\n * @returns either the string with the prefix stripped or undefined if the\n * string did not begin with the prefix.\n */\nexport function stripPrefix(s: string, prefix: string): string | undefined {\n  if (s.startsWith(prefix)) {\n    return s.slice(prefix.length)\n  }\n  return undefined\n}\n\n/** Find the length of the longest common prefix of two strings\n *\n * @param s1 - first string\n * @param s2 - second string\n *\n * @returns - the length of the longest common prefix of the two strings.\n */\nfunction commonPrefixLen(s1: string, s2: string): number {\n  const max = Math.min(s1.length, s2.length)\n  let result\n  for (result = 0; result < max; ++result) {\n    if (s1[result] !== s2[result]) {\n      break\n    }\n  }\n  return result\n}\n\n/** Find the longest common prefix of any number of strings\n *\n * @param strs - an iterable of strings\n *\n * @returns the longest common prefix of all the strings\n */\nexport function shortestCommonPrefix(strs: Iterable<string>): string {\n  let result  // Undefined if no iterations happened\n  for (const s of strs) {\n    if (result === undefined) {\n      result = s\n    } else {\n      result = result.slice(0, commonPrefixLen(result, s))\n    }\n  }\n  return result ?? \"\"\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Subject,\n  catchError,\n  combineLatest,\n  filter,\n  fromEvent,\n  map,\n  of,\n  switchMap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n  getElement,\n  getLocation,\n  requestJSON,\n  setLocation\n} from \"~/browser\"\nimport { getComponentElements } from \"~/components\"\nimport {\n  Version,\n  renderVersionSelector\n} from \"~/templates\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\nimport { selectedVersionCorrespondingURL } from \"./findurl\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n  document$: Subject<Document>         /* Document subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up version selector\n *\n * @param options - Options\n */\nexport function setupVersionSelector(\n  { document$ }: SetupOptions\n): void {\n  const config = configuration()\n  const versions$ = requestJSON<Version[]>(\n    new URL(\"../versions.json\", config.base)\n  )\n    .pipe(\n      catchError(() => EMPTY) // @todo refactor instant loading\n    )\n\n  /* Determine current version */\n  const current$ = versions$\n    .pipe(\n      map(versions => {\n        const [, current] = config.base.match(/([^/]+)\\/?$/)!\n        return versions.find(({ version, aliases }) => (\n          version === current || aliases.includes(current)\n        )) || versions[0]\n      })\n    )\n\n  /* Intercept inter-version navigation */\n  versions$\n    .pipe(\n      map(versions => new Map(versions.map(version => [\n        `${new URL(`../${version.version}/`, config.base)}`,\n        version\n      ]))),\n      switchMap(urls => fromEvent<MouseEvent>(document.body, \"click\")\n        .pipe(\n          filter(ev => !ev.metaKey && !ev.ctrlKey),\n          withLatestFrom(current$),\n          switchMap(([ev, current]) => {\n            if (ev.target instanceof Element) {\n              const el = ev.target.closest(\"a\")\n              if (el && !el.target && urls.has(el.href)) {\n                const url = el.href\n                // This is a temporary hack to detect if a version inside the\n                // version selector or on another part of the site was clicked.\n                // If we're inside the version selector, we definitely want to\n                // find the same page, as we might have different deployments\n                // due to aliases. However, if we're outside the version\n                // selector, we must abort here, because we might otherwise\n                // interfere with instant navigation. We need to refactor this\n                // at some point together with instant navigation.\n                //\n                // See https://github.com/squidfunk/mkdocs-material/issues/4012\n                if (!ev.target.closest(\".md-version\")) {\n                  const version = urls.get(url)!\n                  if (version === current)\n                    return EMPTY\n                }\n                ev.preventDefault()\n                return of(new URL(url))\n              }\n            }\n            return EMPTY\n          }),\n          switchMap(selectedVersionBaseURL => {\n            return fetchSitemap(selectedVersionBaseURL).pipe(\n              map(\n                sitemap =>\n                  selectedVersionCorrespondingURL({\n                    selectedVersionSitemap: sitemap,\n                    selectedVersionBaseURL,\n                    currentLocation: getLocation(),\n                    currentBaseURL: config.base\n                  }) ?? selectedVersionBaseURL,\n              ),\n            )\n          })\n        )\n      )\n    )\n      .subscribe(url => setLocation(url, true))\n\n  /* Render version selector and warning */\n  combineLatest([versions$, current$])\n    .subscribe(([versions, current]) => {\n      const topic = getElement(\".md-header__topic\")\n      topic.appendChild(renderVersionSelector(versions, current))\n    })\n\n  /* Integrate outdated version banner with instant navigation */\n  document$.pipe(switchMap(() => current$))\n    .subscribe(current => {\n\n      // Always scope outdate version banner to the base URL of the site\n      const base = new URL(config.base)\n\n      /* Check if version state was already determined */\n      let outdated = __md_get(\"__outdated\", sessionStorage, base)\n      if (outdated === null) {\n        outdated = true\n\n        /* Obtain and normalize default versions */\n        let ignored = config.version?.default || \"latest\"\n        if (!Array.isArray(ignored))\n          ignored = [ignored]\n\n        /* Check if version is considered a default */\n        main: for (const ignore of ignored)\n          for (const version of current.aliases.concat(current.version))\n            if (new RegExp(ignore, \"i\").test(version)) {\n              outdated = false\n              break main\n            }\n\n        /* Persist version state in session storage */\n        __md_set(\"__outdated\", outdated, sessionStorage, base)\n      }\n\n      /* Unhide outdated version banner */\n      if (outdated)\n        for (const warning of getComponentElements(\"outdated\"))\n          warning.hidden = false\n    })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  combineLatest,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  endWith,\n  finalize,\n  first,\n  fromEvent,\n  ignoreElements,\n  map,\n  merge,\n  shareReplay,\n  takeUntil,\n  tap\n} from \"rxjs\"\n\nimport {\n  getElement,\n  getLocation,\n  setToggle,\n  watchElementFocus,\n  watchToggle\n} from \"~/browser\"\nimport {\n  SearchMessage,\n  SearchMessageType,\n  isSearchReadyMessage\n} from \"~/integrations\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query\n */\nexport interface SearchQuery {\n  value: string                        /* Query value */\n  focus: boolean                       /* Query focus */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  worker$: Subject<SearchMessage>      /* Search worker */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  worker$: Subject<SearchMessage>      /* Search worker */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch search query\n *\n * Note that the focus event which triggers re-reading the current query value\n * is delayed by `1ms` so the input's empty state is allowed to propagate.\n *\n * @param el - Search query element\n * @param options - Options\n *\n * @returns Search query observable\n */\nexport function watchSearchQuery(\n  el: HTMLInputElement, { worker$ }: WatchOptions\n): Observable<SearchQuery> {\n\n  /* Support search deep linking */\n  const { searchParams } = getLocation()\n  if (searchParams.has(\"q\")) {\n    setToggle(\"search\", true)\n\n    /* Set query from parameter */\n    el.value = searchParams.get(\"q\")!\n    el.focus()\n\n    /* Remove query parameter on close */\n    watchToggle(\"search\")\n      .pipe(\n        first(active => !active)\n      )\n        .subscribe(() => {\n          const url = getLocation()\n          url.searchParams.delete(\"q\")\n          history.replaceState({}, \"\", `${url}`)\n        })\n  }\n\n  /* Intercept focus and input events */\n  const focus$ = watchElementFocus(el)\n  const value$ = merge(\n    worker$.pipe(first(isSearchReadyMessage)),\n    fromEvent(el, \"keyup\"),\n    focus$\n  )\n    .pipe(\n      map(() => el.value),\n      distinctUntilChanged()\n    )\n\n  /* Combine into single observable */\n  return combineLatest([value$, focus$])\n    .pipe(\n      map(([value, focus]) => ({ value, focus })),\n      shareReplay(1)\n    )\n}\n\n/**\n * Mount search query\n *\n * @param el - Search query element\n * @param options - Options\n *\n * @returns Search query component observable\n */\nexport function mountSearchQuery(\n  el: HTMLInputElement, { worker$ }: MountOptions\n): Observable<Component<SearchQuery, HTMLInputElement>> {\n  const push$ = new Subject<SearchQuery>()\n  const done$ = push$.pipe(ignoreElements(), endWith(true))\n\n  /* Handle value change */\n  combineLatest([\n    worker$.pipe(first(isSearchReadyMessage)),\n    push$\n  ], (_, query) => query)\n    .pipe(\n      distinctUntilKeyChanged(\"value\")\n    )\n      .subscribe(({ value }) => worker$.next({\n        type: SearchMessageType.QUERY,\n        data: value\n      }))\n\n  /* Handle focus change */\n  push$\n    .pipe(\n      distinctUntilKeyChanged(\"focus\")\n    )\n      .subscribe(({ focus }) => {\n        if (focus)\n          setToggle(\"search\", focus)\n      })\n\n  /* Handle reset */\n  fromEvent(el.form!, \"reset\")\n    .pipe(\n      takeUntil(done$)\n    )\n      .subscribe(() => el.focus())\n\n  // Focus search query on label click - note that this is necessary to bring\n  // up the keyboard on iOS and other mobile platforms, as the search dialog is\n  // not visible at first, and programatically focusing an input element must\n  // be triggered by a user interaction - see https://t.ly/Cb30n\n  const label = getElement(\"header [for=__search]\")\n  fromEvent(label, \"click\")\n    .subscribe(() => el.focus())\n\n  /* Create and return component */\n  return watchSearchQuery(el, { worker$ })\n    .pipe(\n      tap(state => push$.next(state)),\n      finalize(() => push$.complete()),\n      map(state => ({ ref: el, ...state })),\n      shareReplay(1)\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  bufferCount,\n  filter,\n  finalize,\n  first,\n  fromEvent,\n  map,\n  merge,\n  mergeMap,\n  of,\n  share,\n  skipUntil,\n  switchMap,\n  takeUntil,\n  tap,\n  withLatestFrom,\n  zipWith\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n  getElement,\n  getOptionalElement,\n  watchElementBoundary,\n  watchToggle\n} from \"~/browser\"\nimport {\n  SearchMessage,\n  SearchResult,\n  isSearchReadyMessage,\n  isSearchResultMessage\n} from \"~/integrations\"\nimport { renderSearchResultItem } from \"~/templates\"\nimport { round } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  query$: Observable<SearchQuery>      /* Search query observable */\n  worker$: Subject<SearchMessage>      /* Search worker */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search result list\n *\n * This function performs a lazy rendering of the search results, depending on\n * the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchResult(\n  el: HTMLElement, { worker$, query$ }: MountOptions\n): Observable<Component<SearchResult>> {\n  const push$ = new Subject<SearchResult>()\n  const boundary$ = watchElementBoundary(el.parentElement!)\n    .pipe(\n      filter(Boolean)\n    )\n\n  /* Retrieve container */\n  const container = el.parentElement!\n\n  /* Retrieve nested components */\n  const meta = getElement(\":scope > :first-child\", el)\n  const list = getElement(\":scope > :last-child\", el)\n\n  /* Reveal to accessibility tree \u2013 see https://bit.ly/3iAA7t8 */\n  watchToggle(\"search\")\n    .subscribe(active => {\n      list.setAttribute(\"role\", active ? \"list\" : \"presentation\")\n      list.hidden = !active\n    })\n\n  /* Update search result metadata */\n  push$\n    .pipe(\n      withLatestFrom(query$),\n      skipUntil(worker$.pipe(first(isSearchReadyMessage)))\n    )\n      .subscribe(([{ items }, { value }]) => {\n        switch (items.length) {\n\n          /* No results */\n          case 0:\n            meta.textContent = value.length\n              ? translation(\"search.result.none\")\n              : translation(\"search.result.placeholder\")\n            break\n\n          /* One result */\n          case 1:\n            meta.textContent = translation(\"search.result.one\")\n            break\n\n          /* Multiple result */\n          default:\n            const count = round(items.length)\n            meta.textContent = translation(\"search.result.other\", count)\n        }\n      })\n\n  /* Render search result item */\n  const render$ = push$\n    .pipe(\n      tap(() => list.innerHTML = \"\"),\n      switchMap(({ items }) => merge(\n        of(...items.slice(0, 10)),\n        of(...items.slice(10))\n          .pipe(\n            bufferCount(4),\n            zipWith(boundary$),\n            switchMap(([chunk]) => chunk)\n          )\n      )),\n      map(renderSearchResultItem),\n      share()\n    )\n\n  /* Update search result list */\n  render$.subscribe(item => list.appendChild(item))\n  render$\n    .pipe(\n      mergeMap(item => {\n        const details = getOptionalElement(\"details\", item)\n        if (typeof details === \"undefined\")\n          return EMPTY\n\n        /* Keep position of details element stable */\n        return fromEvent(details, \"toggle\")\n          .pipe(\n            takeUntil(push$),\n            map(() => details)\n          )\n      })\n    )\n      .subscribe(details => {\n        if (\n          details.open === false &&\n          details.offsetTop <= container.scrollTop\n        )\n          container.scrollTo({ top: details.offsetTop })\n      })\n\n  /* Filter search result message */\n  const result$ = worker$\n    .pipe(\n      filter(isSearchResultMessage),\n      map(({ data }) => data)\n    )\n\n  /* Create and return component */\n  return result$\n    .pipe(\n      tap(state => push$.next(state)),\n      finalize(() => push$.complete()),\n      map(state => ({ ref: el, ...state }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  endWith,\n  finalize,\n  fromEvent,\n  ignoreElements,\n  map,\n  takeUntil,\n  tap\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search sharing\n */\nexport interface SearchShare {\n  url: URL                             /* Deep link for sharing */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  query$: Observable<SearchQuery>      /* Search query observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  query$: Observable<SearchQuery>      /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search sharing\n *\n * @param _el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing observable\n */\nexport function watchSearchShare(\n  _el: HTMLElement, { query$ }: WatchOptions\n): Observable<SearchShare> {\n  return query$\n    .pipe(\n      map(({ value }) => {\n        const url = getLocation()\n        url.hash = \"\"\n\n        /* Compute readable query strings */\n        value = value\n          .replace(/\\s+/g, \"+\")        /* Collapse whitespace */\n          .replace(/&/g, \"%26\")        /* Escape '&' character */\n          .replace(/=/g, \"%3D\")        /* Escape '=' character */\n\n        /* Replace query string */\n        url.search = `q=${value}`\n        return { url }\n      })\n    )\n}\n\n/**\n * Mount search sharing\n *\n * @param el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing component observable\n */\nexport function mountSearchShare(\n  el: HTMLAnchorElement, options: MountOptions\n): Observable<Component<SearchShare>> {\n  const push$ = new Subject<SearchShare>()\n  const done$ = push$.pipe(ignoreElements(), endWith(true))\n  push$.subscribe(({ url }) => {\n    el.setAttribute(\"data-clipboard-text\", el.href)\n    el.href = `${url}`\n  })\n\n  /* Prevent following of link */\n  fromEvent(el, \"click\")\n    .pipe(\n      takeUntil(done$)\n    )\n      .subscribe(ev => ev.preventDefault())\n\n  /* Create and return component */\n  return watchSearchShare(el, options)\n    .pipe(\n      tap(state => push$.next(state)),\n      finalize(() => push$.complete()),\n      map(state => ({ ref: el, ...state }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  asyncScheduler,\n  combineLatestWith,\n  distinctUntilChanged,\n  filter,\n  finalize,\n  fromEvent,\n  map,\n  merge,\n  observeOn,\n  tap\n} from \"rxjs\"\n\nimport { Keyboard } from \"~/browser\"\nimport {\n  SearchMessage,\n  SearchResult,\n  isSearchResultMessage\n} from \"~/integrations\"\n\nimport { Component, getComponentElement } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search suggestions\n */\nexport interface SearchSuggest {}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  keyboard$: Observable<Keyboard>      /* Keyboard observable */\n  worker$: Subject<SearchMessage>      /* Search worker */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search suggestions\n *\n * This function will perform a lazy rendering of the search results, depending\n * on the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchSuggest(\n  el: HTMLElement, { worker$, keyboard$ }: MountOptions\n): Observable<Component<SearchSuggest>> {\n  const push$ = new Subject<SearchResult>()\n\n  /* Retrieve query component and track all changes */\n  const query  = getComponentElement(\"search-query\")\n  const query$ = merge(\n    fromEvent(query, \"keydown\"),\n    fromEvent(query, \"focus\")\n  )\n    .pipe(\n      observeOn(asyncScheduler),\n      map(() => query.value),\n      distinctUntilChanged(),\n    )\n\n  /* Update search suggestions */\n  push$\n    .pipe(\n      combineLatestWith(query$),\n      map(([{ suggest }, value]) => {\n        const words = value.split(/([\\s-]+)/)\n        if (suggest?.length && words[words.length - 1]) {\n          const last = suggest[suggest.length - 1]\n          if (last.startsWith(words[words.length - 1]))\n            words[words.length - 1] = last\n        } else {\n          words.length = 0\n        }\n        return words\n      })\n    )\n      .subscribe(words => el.innerHTML = words\n        .join(\"\")\n        .replace(/\\s/g, \"&nbsp;\")\n      )\n\n  /* Set up search keyboard handlers */\n  keyboard$\n    .pipe(\n      filter(({ mode }) => mode === \"search\")\n    )\n      .subscribe(key => {\n        switch (key.type) {\n\n          /* Right arrow: accept current suggestion */\n          case \"ArrowRight\":\n            if (\n              el.innerText.length &&\n              query.selectionStart === query.value.length\n            )\n              query.value = el.innerText\n            break\n        }\n      })\n\n  /* Filter search result message */\n  const result$ = worker$\n    .pipe(\n      filter(isSearchResultMessage),\n      map(({ data }) => data)\n    )\n\n  /* Create and return component */\n  return result$\n    .pipe(\n      tap(state => push$.next(state)),\n      finalize(() => push$.complete()),\n      map(() => ({ ref: el }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  NEVER,\n  Observable,\n  ObservableInput,\n  filter,\n  fromEvent,\n  merge,\n  mergeWith\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n  Keyboard,\n  getActiveElement,\n  getElements,\n  setToggle\n} from \"~/browser\"\nimport {\n  SearchIndex,\n  SearchResult,\n  setupSearchWorker\n} from \"~/integrations\"\n\nimport {\n  Component,\n  getComponentElement,\n  getComponentElements\n} from \"../../_\"\nimport {\n  SearchQuery,\n  mountSearchQuery\n} from \"../query\"\nimport { mountSearchResult } from \"../result\"\nimport {\n  SearchShare,\n  mountSearchShare\n} from \"../share\"\nimport {\n  SearchSuggest,\n  mountSearchSuggest\n} from \"../suggest\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search\n */\nexport type Search =\n  | SearchQuery\n  | SearchResult\n  | SearchShare\n  | SearchSuggest\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  index$: ObservableInput<SearchIndex> /* Search index observable */\n  keyboard$: Observable<Keyboard>      /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search\n *\n * This function sets up the search functionality, including the underlying\n * web worker and all keyboard bindings.\n *\n * @param el - Search element\n * @param options - Options\n *\n * @returns Search component observable\n */\nexport function mountSearch(\n  el: HTMLElement, { index$, keyboard$ }: MountOptions\n): Observable<Component<Search>> {\n  const config = configuration()\n  try {\n    const worker$ = setupSearchWorker(config.search, index$)\n\n    /* Retrieve query and result components */\n    const query  = getComponentElement(\"search-query\", el)\n    const result = getComponentElement(\"search-result\", el)\n\n    /* Always close search on result selection */\n    fromEvent<PointerEvent>(el, \"click\")\n      .pipe(\n        filter(({ target }) => (\n          target instanceof Element && !!target.closest(\"a\")\n        ))\n      )\n        .subscribe(() => setToggle(\"search\", false))\n\n    /* Set up search keyboard handlers */\n    keyboard$\n      .pipe(\n        filter(({ mode }) => mode === \"search\")\n      )\n        .subscribe(key => {\n          const active = getActiveElement()\n          switch (key.type) {\n\n            /* Enter: go to first (best) result */\n            case \"Enter\":\n              if (active === query) {\n                const anchors = new Map<HTMLAnchorElement, number>()\n                for (const anchor of getElements<HTMLAnchorElement>(\n                  \":first-child [href]\", result\n                )) {\n                  const article = anchor.firstElementChild!\n                  anchors.set(anchor, parseFloat(\n                    article.getAttribute(\"data-md-score\")!\n                  ))\n                }\n\n                /* Go to result with highest score, if any */\n                if (anchors.size) {\n                  const [[best]] = [...anchors].sort(([, a], [, b]) => b - a)\n                  best.click()\n                }\n\n                /* Otherwise omit form submission */\n                key.claim()\n              }\n              break\n\n            /* Escape or Tab: close search */\n            case \"Escape\":\n            case \"Tab\":\n              setToggle(\"search\", false)\n              query.blur()\n              break\n\n            /* Vertical arrows: select previous or next search result */\n            case \"ArrowUp\":\n            case \"ArrowDown\":\n              if (typeof active === \"undefined\") {\n                query.focus()\n              } else {\n                const els = [query, ...getElements(\n                  \":not(details) > [href], summary, details[open] [href]\",\n                  result\n                )]\n                const i = Math.max(0, (\n                  Math.max(0, els.indexOf(active)) + els.length + (\n                    key.type === \"ArrowUp\" ? -1 : +1\n                  )\n                ) % els.length)\n                els[i].focus()\n              }\n\n              /* Prevent scrolling of page */\n              key.claim()\n              break\n\n            /* All other keys: hand to search query */\n            default:\n              if (query !== getActiveElement())\n                query.focus()\n          }\n        })\n\n    /* Set up global keyboard handlers */\n    keyboard$\n      .pipe(\n        filter(({ mode }) => mode === \"global\")\n      )\n        .subscribe(key => {\n          switch (key.type) {\n\n            /* Open search and select query */\n            case \"f\":\n            case \"s\":\n            case \"/\":\n              query.focus()\n              query.select()\n\n              /* Prevent scrolling of page */\n              key.claim()\n              break\n          }\n        })\n\n    /* Create and return component */\n    const query$ = mountSearchQuery(query, { worker$ })\n    return merge(\n      query$,\n      mountSearchResult(result, { worker$, query$ })\n    )\n      .pipe(\n        mergeWith(\n\n          /* Search sharing */\n          ...getComponentElements(\"search-share\", el)\n            .map(child => mountSearchShare(child, { query$ })),\n\n          /* Search suggestions */\n          ...getComponentElements(\"search-suggest\", el)\n            .map(child => mountSearchSuggest(child, { worker$, keyboard$ }))\n        )\n      )\n\n  /* Gracefully handle broken search */\n  } catch (err) {\n    el.hidden = true\n    return NEVER\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  ObservableInput,\n  combineLatest,\n  filter,\n  map,\n  startWith\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\nimport {\n  SearchIndex,\n  setupSearchHighlighter\n} from \"~/integrations\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlighting\n */\nexport interface SearchHighlight {\n  nodes: Map<ChildNode, string>        /* Map of replacements */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  index$: ObservableInput<SearchIndex> /* Search index observable */\n  location$: Observable<URL>           /* Location observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search highlighting\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Search highlighting component observable\n */\nexport function mountSearchHiglight(\n  el: HTMLElement, { index$, location$ }: MountOptions\n): Observable<Component<SearchHighlight>> {\n  return combineLatest([\n    index$,\n    location$\n      .pipe(\n        startWith(getLocation()),\n        filter(url => !!url.searchParams.get(\"h\"))\n      )\n  ])\n    .pipe(\n      map(([index, url]) => setupSearchHighlighter(index.config)(\n        url.searchParams.get(\"h\")!\n      )),\n      map(fn => {\n        const nodes = new Map<ChildNode, string>()\n\n        /* Traverse text nodes and collect matches */\n        const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n        for (let node = it.nextNode(); node; node = it.nextNode()) {\n          if (node.parentElement?.offsetHeight) {\n            const original = node.textContent!\n            const replaced = fn(original)\n            if (replaced.length > original.length)\n              nodes.set(node as ChildNode, replaced)\n          }\n        }\n\n        /* Replace original nodes with matches */\n        for (const [node, text] of nodes) {\n          const { childNodes } = h(\"span\", null, text)\n          node.replaceWith(...Array.from(childNodes))\n        }\n\n        /* Return component */\n        return { ref: el, nodes }\n      })\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  animationFrameScheduler,\n  asyncScheduler,\n  auditTime,\n  combineLatest,\n  defer,\n  distinctUntilChanged,\n  endWith,\n  finalize,\n  first,\n  from,\n  fromEvent,\n  ignoreElements,\n  map,\n  mergeMap,\n  observeOn,\n  takeUntil,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElement,\n  getElementOffset,\n  getElementSize,\n  getElements\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\nimport { mountInlineTooltip2 } from \"../tooltip2\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sidebar\n */\nexport interface Sidebar {\n  height: number                       /* Sidebar height */\n  locked: boolean                      /* Sidebar is locked */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  main$: Observable<Main>              /* Main area observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n  main$: Observable<Main>              /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch sidebar\n *\n * This function returns an observable that computes the visual parameters of\n * the sidebar which depends on the vertical viewport offset, as well as the\n * height of the main area. When the page is scrolled beyond the header, the\n * sidebar is locked and fills the remaining space.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar observable\n */\nexport function watchSidebar(\n  el: HTMLElement, { viewport$, main$ }: WatchOptions\n): Observable<Sidebar> {\n  const parent = el.closest<HTMLElement>(\".md-grid\")!\n  const adjust =\n    parent.offsetTop -\n    parent.parentElement!.offsetTop\n\n  /* Compute the sidebar's available height and if it should be locked */\n  return combineLatest([main$, viewport$])\n    .pipe(\n      map(([{ offset, height }, { offset: { y } }]) => {\n        height = height\n          + Math.min(adjust, Math.max(0, y - offset))\n          - adjust\n        return {\n          height,\n          locked: y >= offset + adjust\n        }\n      }),\n      distinctUntilChanged((a, b) => (\n        a.height === b.height &&\n        a.locked === b.locked\n      ))\n    )\n}\n\n/**\n * Mount sidebar\n *\n * This function doesn't set the height of the actual sidebar, but of its first\n * child \u2013 the `.md-sidebar__scrollwrap` element in order to mitigiate jittery\n * sidebars when the footer is scrolled into view. At some point we switched\n * from `absolute` / `fixed` positioning to `sticky` positioning, significantly\n * reducing jitter in some browsers (respectively Firefox and Safari) when\n * scrolling from the top. However, top-aligned sticky positioning means that\n * the sidebar snaps to the bottom when the end of the container is reached.\n * This is what leads to the mentioned jitter, as the sidebar's height may be\n * updated too slowly.\n *\n * This behaviour can be mitigiated by setting the height of the sidebar to `0`\n * while preserving the padding, and the height on its first element.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar component observable\n */\nexport function mountSidebar(\n  el: HTMLElement, { header$, ...options }: MountOptions\n): Observable<Component<Sidebar>> {\n  const inner = getElement(\".md-sidebar__scrollwrap\", el)\n  const { y } = getElementOffset(inner)\n  return defer(() => {\n    const push$ = new Subject<Sidebar>()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n    const next$ = push$\n      .pipe(\n        auditTime(0, animationFrameScheduler)\n      )\n\n    /* Update sidebar height and offset */\n    next$.pipe(withLatestFrom(header$))\n      .subscribe({\n\n        /* Handle emission */\n        next([{ height }, { height: offset }]) {\n          inner.style.height = `${height - 2 * y}px`\n          el.style.top       = `${offset}px`\n        },\n\n        /* Handle complete */\n        complete() {\n          inner.style.height = \"\"\n          el.style.top       = \"\"\n        }\n      })\n\n    /* Bring active item into view on initial load */\n    next$.pipe(first())\n      .subscribe(() => {\n        for (const item of getElements(\".md-nav__link--active[href]\", el)) {\n          if (!item.clientHeight) // skip invisible toc in left sidebar\n            continue\n          const container = item.closest<HTMLElement>(\".md-sidebar__scrollwrap\")!\n          if (typeof container !== \"undefined\") {\n            const offset = item.offsetTop - container.offsetTop\n            const { height } = getElementSize(container)\n            container.scrollTo({\n              top: offset - height / 2\n            })\n          }\n        }\n      })\n\n    /* Handle accessibility for expandable items, see https://bit.ly/3jaod9p */\n    from(getElements<HTMLLabelElement>(\"label[tabindex]\", el))\n      .pipe(\n        mergeMap(label => fromEvent(label, \"click\")\n          .pipe(\n            observeOn(asyncScheduler),\n            map(() => label),\n            takeUntil(done$)\n          )\n        )\n      )\n        .subscribe(label => {\n          const input = getElement<HTMLInputElement>(`[id=\"${label.htmlFor}\"]`)\n          const nav = getElement(`[aria-labelledby=\"${label.id}\"]`)\n          nav.setAttribute(\"aria-expanded\", `${input.checked}`)\n        })\n\n    // Mount abbreviation tooltips\n    if (feature(\"content.tooltips\"))\n      from(getElements(\"abbr[title]\", el))\n        .pipe(\n          mergeMap(child => mountInlineTooltip2(child, { viewport$ })),\n          takeUntil(done$)\n        )\n          .subscribe()\n\n    /* Create and return component */\n    return watchSidebar(el, options)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Repo, User } from \"github-types\"\nimport {\n  EMPTY,\n  Observable,\n  catchError,\n  defaultIfEmpty,\n  map,\n  zip\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * GitHub release (partial)\n */\ninterface Release {\n  tag_name: string                     /* Tag name */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitHub repository facts\n *\n * @param user - GitHub user or organization\n * @param repo - GitHub repository\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitHub(\n  user: string, repo?: string\n): Observable<SourceFacts> {\n  if (typeof repo !== \"undefined\") {\n    const url = `https://api.github.com/repos/${user}/${repo}`\n    return zip(\n\n      /* Fetch version */\n      requestJSON<Release>(`${url}/releases/latest`)\n        .pipe(\n          catchError(() => EMPTY), // @todo refactor instant loading\n          map(release => ({\n            version: release.tag_name\n          })),\n          defaultIfEmpty({})\n        ),\n\n      /* Fetch stars and forks */\n      requestJSON<Repo>(url)\n        .pipe(\n          catchError(() => EMPTY), // @todo refactor instant loading\n          map(info => ({\n            stars: info.stargazers_count,\n            forks: info.forks_count\n          })),\n          defaultIfEmpty({})\n        )\n    )\n      .pipe(\n        map(([release, info]) => ({ ...release, ...info }))\n      )\n\n  /* User or organization */\n  } else {\n    const url = `https://api.github.com/users/${user}`\n    return requestJSON<User>(url)\n      .pipe(\n        map(info => ({\n          repositories: info.public_repos\n        })),\n        defaultIfEmpty({})\n      )\n  }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ProjectSchema } from \"gitlab\"\nimport {\n  EMPTY,\n  Observable,\n  catchError,\n  defaultIfEmpty,\n  map,\n  zip\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * GitLab release (partial)\n */\ninterface Release { // @todo remove and use the ReleaseSchema type instead after switching from gitlab to @gitbeaker/rest\n  tag_name: string                     /* Tag name */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitLab repository facts\n *\n * @param base - GitLab base\n * @param project - GitLab project\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitLab(\n  base: string, project: string\n): Observable<SourceFacts> {\n  const url = `https://${base}/api/v4/projects/${encodeURIComponent(project)}`\n  return zip(\n\n    /* Fetch version */\n    requestJSON<Release>(`${url}/releases/permalink/latest`)\n      .pipe(\n        catchError(() => EMPTY), // @todo refactor instant loading\n        map(({ tag_name }) => ({\n          version: tag_name\n        })),\n        defaultIfEmpty({})\n      ),\n\n    /* Fetch stars and forks */\n    requestJSON<ProjectSchema>(url)\n      .pipe(\n        catchError(() => EMPTY), // @todo refactor instant loading\n        map(({ star_count, forks_count }) => ({\n          stars: star_count,\n          forks: forks_count\n        })),\n        defaultIfEmpty({})\n      )\n  )\n    .pipe(\n      map(([release, info]) => ({ ...release, ...info }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { EMPTY, Observable } from \"rxjs\"\n\nimport { fetchSourceFactsFromGitHub } from \"../github\"\nimport { fetchSourceFactsFromGitLab } from \"../gitlab\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository facts for repositories\n */\nexport interface RepositoryFacts {\n  stars?: number                       /* Number of stars */\n  forks?: number                       /* Number of forks */\n  version?: string                     /* Latest version */\n}\n\n/**\n * Repository facts for organizations\n */\nexport interface OrganizationFacts {\n  repositories?: number                /* Number of repositories */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Repository facts\n */\nexport type SourceFacts =\n  | RepositoryFacts\n  | OrganizationFacts\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch repository facts\n *\n * @param url - Repository URL\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFacts(\n  url: string\n): Observable<SourceFacts> {\n\n  /* Try to match GitHub repository */\n  let match = url.match(/^.+github\\.com\\/([^/]+)\\/?([^/]+)?/i)\n  if (match) {\n    const [, user, repo] = match\n    return fetchSourceFactsFromGitHub(user, repo)\n  }\n\n  /* Try to match GitLab repository */\n  match = url.match(/^.+?([^/]*gitlab[^/]+)\\/(.+?)\\/?$/i)\n  if (match) {\n    const [, base, slug] = match\n    return fetchSourceFactsFromGitLab(base, slug)\n  }\n\n  /* Fallback */\n  return EMPTY\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  Subject,\n  catchError,\n  defer,\n  filter,\n  finalize,\n  map,\n  of,\n  shareReplay,\n  tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\nimport { ConsentDefaults } from \"~/components/consent\"\nimport { renderSourceFacts } from \"~/templates\"\n\nimport {\n  Component,\n  getComponentElements\n} from \"../../_\"\nimport {\n  SourceFacts,\n  fetchSourceFacts\n} from \"../facts\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information\n */\nexport interface Source {\n  facts: SourceFacts                   /* Repository facts */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information observable\n */\nlet fetch$: Observable<Source>\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch repository information\n *\n * This function tries to read the repository facts from session storage, and\n * if unsuccessful, fetches them from the underlying provider.\n *\n * @param el - Repository information element\n *\n * @returns Repository information observable\n */\nexport function watchSource(\n  el: HTMLAnchorElement\n): Observable<Source> {\n  return fetch$ ||= defer(() => {\n    const cached = __md_get<SourceFacts>(\"__source\", sessionStorage)\n    if (cached) {\n      return of(cached)\n    } else {\n\n      /* Check if consent is configured and was given */\n      const els = getComponentElements(\"consent\")\n      if (els.length) {\n        const consent = __md_get<ConsentDefaults>(\"__consent\")\n        if (!(consent && consent.github))\n          return EMPTY\n      }\n\n      /* Fetch repository facts */\n      return fetchSourceFacts(el.href)\n        .pipe(\n          tap(facts => __md_set(\"__source\", facts, sessionStorage))\n        )\n    }\n  })\n    .pipe(\n      catchError(() => EMPTY),\n      filter(facts => Object.keys(facts).length > 0),\n      map(facts => ({ facts })),\n      shareReplay(1)\n    )\n}\n\n/**\n * Mount repository information\n *\n * @param el - Repository information element\n *\n * @returns Repository information component observable\n */\nexport function mountSource(\n  el: HTMLAnchorElement\n): Observable<Component<Source>> {\n  const inner = getElement(\":scope > :last-child\", el)\n  return defer(() => {\n    const push$ = new Subject<Source>()\n    push$.subscribe(({ facts }) => {\n      inner.appendChild(renderSourceFacts(facts))\n      inner.classList.add(\"md-source__repository--active\")\n    })\n\n    /* Create and return component */\n    return watchSource(el)\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  defer,\n  distinctUntilKeyChanged,\n  finalize,\n  map,\n  of,\n  switchMap,\n  tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  watchElementSize,\n  watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Navigation tabs\n */\nexport interface Tabs {\n  hidden: boolean                      /* Navigation tabs are hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch navigation tabs\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs observable\n */\nexport function watchTabs(\n  el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable<Tabs> {\n  return watchElementSize(document.body)\n    .pipe(\n      switchMap(() => watchViewportAt(el, { header$, viewport$ })),\n      map(({ offset: { y } }) => {\n        return {\n          hidden: y >= 10\n        }\n      }),\n      distinctUntilKeyChanged(\"hidden\")\n    )\n}\n\n/**\n * Mount navigation tabs\n *\n * This function hides the navigation tabs when scrolling past the threshold\n * and makes them reappear in a nice CSS animation when scrolling back up.\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs component observable\n */\nexport function mountTabs(\n  el: HTMLElement, options: MountOptions\n): Observable<Component<Tabs>> {\n  return defer(() => {\n    const push$ = new Subject<Tabs>()\n    push$.subscribe({\n\n      /* Handle emission */\n      next({ hidden }) {\n        el.hidden = hidden\n      },\n\n      /* Handle complete */\n      complete() {\n        el.hidden = false\n      }\n    })\n\n    /* Create and return component */\n    return (\n      feature(\"navigation.tabs.sticky\")\n        ? of({ hidden: false })\n        : watchTabs(el, options)\n    )\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  asyncScheduler,\n  bufferCount,\n  combineLatestWith,\n  debounceTime,\n  defer,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  endWith,\n  filter,\n  finalize,\n  ignoreElements,\n  map,\n  merge,\n  observeOn,\n  of,\n  repeat,\n  scan,\n  share,\n  skip,\n  startWith,\n  switchMap,\n  takeUntil,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElement,\n  getElementContainer,\n  getElementSize,\n  getElements,\n  getLocation,\n  getOptionalElement,\n  watchElementSize\n} from \"~/browser\"\n\nimport {\n  Component,\n  getComponentElement\n} from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Table of contents\n */\nexport interface TableOfContents {\n  prev: HTMLAnchorElement[][]          /* Anchors (previous) */\n  next: HTMLAnchorElement[][]          /* Anchors (next) */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n  main$: Observable<Main>              /* Main area observable */\n  target$: Observable<HTMLElement>     /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch table of contents\n *\n * This is effectively a scroll spy implementation which will account for the\n * fixed header and automatically re-calculate anchor offsets when the viewport\n * is resized. The returned observable will only emit if the table of contents\n * needs to be repainted.\n *\n * This implementation tracks an anchor element's entire path starting from its\n * level up to the top-most anchor element, e.g. `[h3, h2, h1]`. Although the\n * Material theme currently doesn't make use of this information, it enables\n * the styling of the entire hierarchy through customization.\n *\n * Note that the current anchor is the last item of the `prev` anchor list.\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents observable\n */\nexport function watchTableOfContents(\n  el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable<TableOfContents> {\n  const table = new Map<HTMLAnchorElement, HTMLElement>()\n\n  /* Compute anchor-to-target mapping */\n  const anchors = getElements<HTMLAnchorElement>(\".md-nav__link\", el)\n  for (const anchor of anchors) {\n    const id = decodeURIComponent(anchor.hash.substring(1))\n    const target = getOptionalElement(`[id=\"${id}\"]`)\n    if (typeof target !== \"undefined\")\n      table.set(anchor, target)\n  }\n\n  /* Compute necessary adjustment for header */\n  const adjust$ = header$\n    .pipe(\n      distinctUntilKeyChanged(\"height\"),\n      map(({ height }) => {\n        const main = getComponentElement(\"main\")\n        const grid = getElement(\":scope > :first-child\", main)\n        return height + 0.8 * (\n          grid.offsetTop -\n          main.offsetTop\n        )\n      }),\n      share()\n    )\n\n  /* Compute partition of previous and next anchors */\n  const partition$ = watchElementSize(document.body)\n    .pipe(\n      distinctUntilKeyChanged(\"height\"),\n\n      /* Build index to map anchor paths to vertical offsets */\n      switchMap(body => defer(() => {\n        let path: HTMLAnchorElement[] = []\n        return of([...table].reduce((index, [anchor, target]) => {\n          while (path.length) {\n            const last = table.get(path[path.length - 1])!\n            if (last.tagName >= target.tagName) {\n              path.pop()\n            } else {\n              break\n            }\n          }\n\n          /* If the current anchor is hidden, continue with its parent */\n          let offset = target.offsetTop\n          while (!offset && target.parentElement) {\n            target = target.parentElement\n            offset = target.offsetTop\n          }\n\n          /* Fix anchor offsets in tables - see https://bit.ly/3CUFOcn */\n          let parent = target.offsetParent as HTMLElement\n          for (; parent; parent = parent.offsetParent as HTMLElement)\n            offset += parent.offsetTop\n\n          /* Map reversed anchor path to vertical offset */\n          return index.set(\n            [...path = [...path, anchor]].reverse(),\n            offset\n          )\n        }, new Map<HTMLAnchorElement[], number>()))\n      })\n        .pipe(\n\n          /* Sort index by vertical offset (see https://bit.ly/30z6QSO) */\n          map(index => new Map([...index].sort(([, a], [, b]) => a - b))),\n          combineLatestWith(adjust$),\n\n          /* Re-compute partition when viewport offset changes */\n          switchMap(([index, adjust]) => viewport$\n            .pipe(\n              scan(([prev, next], { offset: { y }, size }) => {\n                const last = y + size.height >= Math.floor(body.height)\n\n                /* Look forward */\n                while (next.length) {\n                  const [, offset] = next[0]\n                  if (offset - adjust < y || last) {\n                    prev = [...prev, next.shift()!]\n                  } else {\n                    break\n                  }\n                }\n\n                /* Look backward */\n                while (prev.length) {\n                  const [, offset] = prev[prev.length - 1]\n                  if (offset - adjust >= y && !last) {\n                    next = [prev.pop()!, ...next]\n                  } else {\n                    break\n                  }\n                }\n\n                /* Return partition */\n                return [prev, next]\n              }, [[], [...index]]),\n              distinctUntilChanged((a, b) => (\n                a[0] === b[0] &&\n                a[1] === b[1]\n              ))\n            )\n          )\n        )\n      )\n    )\n\n  /* Compute and return anchor list migrations */\n  return partition$\n    .pipe(\n      map(([prev, next]) => ({\n        prev: prev.map(([path]) => path),\n        next: next.map(([path]) => path)\n      })),\n\n      /* Extract anchor list migrations */\n      startWith({ prev: [], next: [] }),\n      bufferCount(2, 1),\n      map(([a, b]) => {\n\n        /* Moving down */\n        if (a.prev.length < b.prev.length) {\n          return {\n            prev: b.prev.slice(Math.max(0, a.prev.length - 1), b.prev.length),\n            next: []\n          }\n\n        /* Moving up */\n        } else {\n          return {\n            prev: b.prev.slice(-1),\n            next: b.next.slice(0, b.next.length - a.next.length)\n          }\n        }\n      })\n    )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount table of contents\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents component observable\n */\nexport function mountTableOfContents(\n  el: HTMLElement, { viewport$, header$, main$, target$ }: MountOptions\n): Observable<Component<TableOfContents>> {\n  return defer(() => {\n    const push$ = new Subject<TableOfContents>()\n    const done$ = push$.pipe(ignoreElements(), endWith(true))\n    push$.subscribe(({ prev, next }) => {\n\n      /* Look forward */\n      for (const [anchor] of next) {\n        anchor.classList.remove(\"md-nav__link--passed\")\n        anchor.classList.remove(\"md-nav__link--active\")\n      }\n\n      /* Look backward */\n      for (const [index, [anchor]] of prev.entries()) {\n        anchor.classList.add(\"md-nav__link--passed\")\n        anchor.classList.toggle(\n          \"md-nav__link--active\",\n          index === prev.length - 1\n        )\n      }\n    })\n\n    /* Set up following, if enabled */\n    if (feature(\"toc.follow\")) {\n\n      /* Toggle smooth scrolling only for anchor clicks */\n      const smooth$ = merge(\n        viewport$.pipe(debounceTime(1), map(() => undefined)),\n        viewport$.pipe(debounceTime(250), map(() => \"smooth\" as const))\n      )\n\n      /* Bring active anchor into view */ // @todo: refactor\n      push$\n        .pipe(\n          filter(({ prev }) => prev.length > 0),\n          combineLatestWith(main$.pipe(observeOn(asyncScheduler))),\n          withLatestFrom(smooth$)\n        )\n          .subscribe(([[{ prev }], behavior]) => {\n            const [anchor] = prev[prev.length - 1]\n            if (anchor.offsetHeight) {\n\n              /* Retrieve overflowing container and scroll */\n              const container = getElementContainer(anchor)\n              if (typeof container !== \"undefined\") {\n                const offset = anchor.offsetTop - container.offsetTop\n                const { height } = getElementSize(container)\n                container.scrollTo({\n                  top: offset - height / 2,\n                  behavior\n                })\n              }\n            }\n          })\n    }\n\n    /* Set up anchor tracking, if enabled */\n    if (feature(\"navigation.tracking\"))\n      viewport$\n        .pipe(\n          takeUntil(done$),\n          distinctUntilKeyChanged(\"offset\"),\n          debounceTime(250),\n          skip(1),\n          takeUntil(target$.pipe(skip(1))),\n          repeat({ delay: 250 }),\n          withLatestFrom(push$)\n        )\n          .subscribe(([, { prev }]) => {\n            const url = getLocation()\n\n            /* Set hash fragment to active anchor */\n            const anchor = prev[prev.length - 1]\n            if (anchor && anchor.length) {\n              const [active] = anchor\n              const { hash } = new URL(active.href)\n              if (url.hash !== hash) {\n                url.hash = hash\n                history.replaceState({}, \"\", `${url}`)\n              }\n\n            /* Reset anchor when at the top */\n            } else {\n              url.hash = \"\"\n              history.replaceState({}, \"\", `${url}`)\n            }\n          })\n\n    /* Create and return component */\n    return watchTableOfContents(el, { viewport$, header$ })\n      .pipe(\n        tap(state => push$.next(state)),\n        finalize(() => push$.complete()),\n        map(state => ({ ref: el, ...state }))\n      )\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  Subject,\n  bufferCount,\n  combineLatest,\n  distinctUntilChanged,\n  distinctUntilKeyChanged,\n  endWith,\n  finalize,\n  fromEvent,\n  ignoreElements,\n  map,\n  repeat,\n  skip,\n  takeUntil,\n  tap\n} from \"rxjs\"\n\nimport { Viewport } from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Back-to-top button\n */\nexport interface BackToTop {\n  hidden: boolean                      /* Back-to-top button is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  main$: Observable<Main>              /* Main area observable */\n  target$: Observable<HTMLElement>     /* Location target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  header$: Observable<Header>          /* Header observable */\n  main$: Observable<Main>              /* Main area observable */\n  target$: Observable<HTMLElement>     /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch back-to-top\n *\n * @param _el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top observable\n */\nexport function watchBackToTop(\n  _el: HTMLElement, { viewport$, main$, target$ }: WatchOptions\n): Observable<BackToTop> {\n\n  /* Compute direction */\n  const direction$ = viewport$\n    .pipe(\n      map(({ offset: { y } }) => y),\n      bufferCount(2, 1),\n      map(([a, b]) => a > b && b > 0),\n      distinctUntilChanged()\n    )\n\n  /* Compute whether main area is active */\n  const active$ = main$\n    .pipe(\n      map(({ active }) => active)\n    )\n\n  /* Compute threshold for hiding */\n  return combineLatest([active$, direction$])\n    .pipe(\n      map(([active, direction]) => !(active && direction)),\n      distinctUntilChanged(),\n      takeUntil(target$.pipe(skip(1))),\n      endWith(true),\n      repeat({ delay: 250 }),\n      map(hidden => ({ hidden }))\n    )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount back-to-top\n *\n * @param el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top component observable\n */\nexport function mountBackToTop(\n  el: HTMLElement, { viewport$, header$, main$, target$ }: MountOptions\n): Observable<Component<BackToTop>> {\n  const push$ = new Subject<BackToTop>()\n  const done$ = push$.pipe(ignoreElements(), endWith(true))\n  push$.subscribe({\n\n    /* Handle emission */\n    next({ hidden }) {\n      el.hidden = hidden\n      if (hidden) {\n        el.setAttribute(\"tabindex\", \"-1\")\n        el.blur()\n      } else {\n        el.removeAttribute(\"tabindex\")\n      }\n    },\n\n    /* Handle complete */\n    complete() {\n      el.style.top = \"\"\n      el.hidden = true\n      el.removeAttribute(\"tabindex\")\n    }\n  })\n\n  /* Watch header height */\n  header$\n    .pipe(\n      takeUntil(done$),\n      distinctUntilKeyChanged(\"height\")\n    )\n      .subscribe(({ height }) => {\n        el.style.top = `${height + 16}px`\n      })\n\n  /* Go back to top */\n  fromEvent(el, \"click\")\n    .subscribe(ev => {\n      ev.preventDefault()\n      window.scrollTo({ top: 0 })\n    })\n\n  /* Create and return component */\n  return watchBackToTop(el, { viewport$, main$, target$ })\n    .pipe(\n      tap(state => push$.next(state)),\n      finalize(() => push$.complete()),\n      map(state => ({ ref: el, ...state }))\n    )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  EMPTY,\n  Observable,\n  filter,\n  finalize,\n  map,\n  mergeMap,\n  skip,\n  switchMap,\n  take,\n  takeUntil\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n  Viewport,\n  getElements,\n  watchElementVisibility\n} from \"~/browser\"\nimport { mountInlineTooltip2 } from \"~/components/tooltip2\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n  document$: Observable<Document>      /* Document observable */\n  viewport$: Observable<Viewport>      /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch ellipsis\n *\n * This function will fetch all elements that are shortened with ellipsis, and\n * filter those which are visible. Once they become visible, they stay in that\n * state, even though they may be hidden again. This optimization is necessary\n * to reduce pressure on the browser, with elements fading in and out of view.\n *\n * @param options - Options\n */\nexport function patchEllipsis(\n  { document$, viewport$ }: PatchOptions\n): void {\n  document$\n    .pipe(\n      switchMap(() => getElements(\".md-ellipsis\")),\n      mergeMap(el => watchElementVisibility(el)\n        .pipe(\n          takeUntil(document$.pipe(skip(1))),\n          filter(visible => visible),\n          map(() => el),\n          take(1)\n        )\n      ),\n      filter(el => el.offsetWidth < el.scrollWidth),\n      mergeMap(el => {\n        const text = el.innerText\n        const host = el.closest(\"a\") || el\n        host.title = text\n\n        // Do not mount improved tooltip if feature is disabled\n        if (!feature(\"content.tooltips\"))\n          return EMPTY\n\n        /* Mount tooltip */\n        return mountInlineTooltip2(host, { viewport$ })\n          .pipe(\n            takeUntil(document$.pipe(skip(1))),\n            finalize(() => host.removeAttribute(\"title\"))\n          )\n      })\n    )\n      .subscribe()\n\n  // @todo move this outside of here and fix memleaks\n  if (feature(\"content.tooltips\"))\n    document$\n      .pipe(\n        switchMap(() => getElements(\".md-status\")),\n        mergeMap(el => mountInlineTooltip2(el, { viewport$ }))\n      )\n        .subscribe()\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  fromEvent,\n  map,\n  mergeMap,\n  switchMap,\n  takeWhile,\n  tap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n  document$: Observable<Document>      /* Document observable */\n  tablet$: Observable<boolean>         /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch indeterminate checkboxes\n *\n * This function replaces the indeterminate \"pseudo state\" with the actual\n * indeterminate state, which is used to keep navigation always expanded.\n *\n * @param options - Options\n */\nexport function patchIndeterminate(\n  { document$, tablet$ }: PatchOptions\n): void {\n  document$\n    .pipe(\n      switchMap(() => getElements<HTMLInputElement>(\n        \".md-toggle--indeterminate\"\n      )),\n      tap(el => {\n        el.indeterminate = true\n        el.checked = false\n      }),\n      mergeMap(el => fromEvent(el, \"change\")\n        .pipe(\n          takeWhile(() => el.classList.contains(\"md-toggle--indeterminate\")),\n          map(() => el)\n        )\n      ),\n      withLatestFrom(tablet$)\n    )\n      .subscribe(([el, tablet]) => {\n        el.classList.remove(\"md-toggle--indeterminate\")\n        if (tablet)\n          el.checked = false\n      })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  filter,\n  fromEvent,\n  map,\n  mergeMap,\n  switchMap,\n  tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n  document$: Observable<Document>      /* Document observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether the given device is an Apple device\n *\n * @returns Test result\n */\nfunction isAppleDevice(): boolean {\n  return /(iPad|iPhone|iPod)/.test(navigator.userAgent)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch all elements with `data-md-scrollfix` attributes\n *\n * This is a year-old patch which ensures that overflow scrolling works at the\n * top and bottom of containers on iOS by ensuring a `1px` scroll offset upon\n * the start of a touch event.\n *\n * @see https://bit.ly/2SCtAOO - Original source\n *\n * @param options - Options\n */\nexport function patchScrollfix(\n  { document$ }: PatchOptions\n): void {\n  document$\n    .pipe(\n      switchMap(() => getElements(\"[data-md-scrollfix]\")),\n      tap(el => el.removeAttribute(\"data-md-scrollfix\")),\n      filter(isAppleDevice),\n      mergeMap(el => fromEvent(el, \"touchstart\")\n        .pipe(\n          map(() => el)\n        )\n      )\n    )\n      .subscribe(el => {\n        const top = el.scrollTop\n\n        /* We're at the top of the container */\n        if (top === 0) {\n          el.scrollTop = 1\n\n        /* We're at the bottom of the container */\n        } else if (top + el.offsetHeight === el.scrollHeight) {\n          el.scrollTop = top - 1\n        }\n      })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  Observable,\n  combineLatest,\n  delay,\n  map,\n  of,\n  switchMap,\n  withLatestFrom\n} from \"rxjs\"\n\nimport {\n  Viewport,\n  watchToggle\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n  viewport$: Observable<Viewport>      /* Viewport observable */\n  tablet$: Observable<boolean>         /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch the document body to lock when search is open\n *\n * For mobile and tablet viewports, the search is rendered full screen, which\n * leads to scroll leaking when at the top or bottom of the search result. This\n * function locks the body when the search is in full screen mode, and restores\n * the scroll position when leaving.\n *\n * @param options - Options\n */\nexport function patchScrolllock(\n  { viewport$, tablet$ }: PatchOptions\n): void {\n  combineLatest([watchToggle(\"search\"), tablet$])\n    .pipe(\n      map(([active, tablet]) => active && !tablet),\n      switchMap(active => of(active)\n        .pipe(\n          delay(active ? 400 : 100)\n        )\n      ),\n      withLatestFrom(viewport$)\n    )\n      .subscribe(([active, { offset: { y }}]) => {\n        if (active) {\n          document.body.setAttribute(\"data-md-scrolllock\", \"\")\n          document.body.style.top = `-${y}px`\n        } else {\n          const value = -1 * parseInt(document.body.style.top, 10)\n          document.body.removeAttribute(\"data-md-scrolllock\")\n          document.body.style.top = \"\"\n          if (value)\n            window.scrollTo(0, value)\n        }\n      })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n  Object.entries = function (obj: object) {\n    const data: [string, string][] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push([key, obj[key]])\n\n    /* Return entries */\n    return data\n  }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n  Object.values = function (obj: object) {\n    const data: string[] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push(obj[key])\n\n    /* Return values */\n    return data\n  }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n  /* Polyfill `Element.scrollTo` */\n  if (!Element.prototype.scrollTo)\n    Element.prototype.scrollTo = function (\n      x?: ScrollToOptions | number, y?: number\n    ): void {\n      if (typeof x === \"object\") {\n        this.scrollLeft = x.left!\n        this.scrollTop = x.top!\n      } else {\n        this.scrollLeft = x!\n        this.scrollTop = y!\n      }\n    }\n\n  /* Polyfill `Element.replaceWith` */\n  if (!Element.prototype.replaceWith)\n    Element.prototype.replaceWith = function (\n      ...nodes: Array<string | Node>\n    ): void {\n      const parent = this.parentNode\n      if (parent) {\n        if (nodes.length === 0)\n          parent.removeChild(this)\n\n        /* Replace children and create text nodes */\n        for (let i = nodes.length - 1; i >= 0; i--) {\n          let node = nodes[i]\n          if (typeof node === \"string\")\n            node = document.createTextNode(node)\n          else if (node.parentNode)\n            node.parentNode.removeChild(node)\n\n          /* Replace child or insert before previous sibling */\n          if (!i)\n            parent.replaceChild(node, this)\n          else\n            parent.insertBefore(this.previousSibling!, node)\n        }\n      }\n    }\n}\n"],
-  "mappings": 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-}
diff --git a/site/assets/javascripts/lunr/min/lunr.ar.min.js b/site/assets/javascripts/lunr/min/lunr.ar.min.js
deleted file mode 100644
index 9b06c26c1fc331ff8f95cfd719f40812a97f75cd..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ar.min.js
+++ /dev/null
@@ -1 +0,0 @@
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عدد عدم عسى عشر عشرة علق على عليك عليه عليها عل عن عند عندما عوض عين عدس عما غدا غير  ف فان فلان فو فى في فيم فيما فيه فيها قال قام قبل قد قط قلما قوة كانما كاين كاي كاين كاد كان كانت كذا كذلك كرب كل كلا كلاهما كلتا كلم كليكما كليهما كلما كلا كم كما كي كيت كيف كيفما كان كخ لئن لا لات لاسيما لدن لدى لعمر لقاء لك لكم لكما لكن لكنما لكي لكيلا للامم لم لما لما لن لنا له لها لو لوكالة لولا لوما لي لست لست لستم لستما لستن لست لسن لعل لكن ليت ليس ليسا ليستا ليست ليسوا لسنا ما ماانفك مابرح مادام ماذا مازال مافتئ مايو متى مثل مذ مساء مع معاذ مقابل مكانكم مكانكما مكانكن مكانك مليار مليون مما ممن من منذ منها مه مهما من من نحن نحو نعم نفس نفسه نهاية نخ نعما نعم ها هاؤم هاك هاهنا هب هذا هذه هكذا هل هلم هلا هم هما هن هنا هناك هنالك هو هي هيا هيت هيا هؤلاء هاتان هاتين هاته هاتي هج هذا هذان هذين هذه هذي هيهات وا واحد واضاف واضافت واكد وان واها واوضح وراءك وفي وقال وقالت وقد وقف وكان وكانت ولا ولم ومن وهو وهي ويكان وي وشكان يكون يمكن يوم ايان".split(" 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diff --git a/site/assets/javascripts/lunr/min/lunr.da.min.js b/site/assets/javascripts/lunr/min/lunr.da.min.js
deleted file mode 100644
index b9d8509865dd5eb9f23b3fa7ad77e0e6fc888b6d..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.da.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Danish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.da=function(){this.pipeline.reset(),this.pipeline.add(e.da.trimmer,e.da.stopWordFilter,e.da.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.da.stemmer))},e.da.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.da.trimmer=e.trimmerSupport.generateTrimmer(e.da.wordCharacters),e.Pipeline.registerFunction(e.da.trimmer,"trimmer-da"),e.da.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){var e,r=f.cursor+3;if(d=f.limit,0<=r&&r<=f.limit){for(a=r;;){if(e=f.cursor,f.in_grouping(w,97,248)){f.cursor=e;break}if(f.cursor=e,e>=f.limit)return;f.cursor++}for(;!f.out_grouping(w,97,248);){if(f.cursor>=f.limit)return;f.cursor++}d=f.cursor,d<a&&(d=a)}}function n(){var e,r;if(f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(c,32),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del();break;case 2:f.in_grouping_b(p,97,229)&&f.slice_del()}}function t(){var e,r=f.limit-f.cursor;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.find_among_b(l,4)?(f.bra=f.cursor,f.limit_backward=e,f.cursor=f.limit-r,f.cursor>f.limit_backward&&(f.cursor--,f.bra=f.cursor,f.slice_del())):f.limit_backward=e)}function s(){var e,r,i,n=f.limit-f.cursor;if(f.ket=f.cursor,f.eq_s_b(2,"st")&&(f.bra=f.cursor,f.eq_s_b(2,"ig")&&f.slice_del()),f.cursor=f.limit-n,f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(m,5),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del(),i=f.limit-f.cursor,t(),f.cursor=f.limit-i;break;case 2:f.slice_from("løs")}}function o(){var e;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.out_grouping_b(w,97,248)?(f.bra=f.cursor,u=f.slice_to(u),f.limit_backward=e,f.eq_v_b(u)&&f.slice_del()):f.limit_backward=e)}var a,d,u,c=[new r("hed",-1,1),new r("ethed",0,1),new r("ered",-1,1),new r("e",-1,1),new r("erede",3,1),new r("ende",3,1),new r("erende",5,1),new r("ene",3,1),new r("erne",3,1),new r("ere",3,1),new r("en",-1,1),new r("heden",10,1),new r("eren",10,1),new r("er",-1,1),new r("heder",13,1),new r("erer",13,1),new r("s",-1,2),new r("heds",16,1),new r("es",16,1),new r("endes",18,1),new r("erendes",19,1),new r("enes",18,1),new r("ernes",18,1),new r("eres",18,1),new r("ens",16,1),new r("hedens",24,1),new r("erens",24,1),new r("ers",16,1),new r("ets",16,1),new r("erets",28,1),new r("et",-1,1),new r("eret",30,1)],l=[new r("gd",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("elig",1,1),new r("els",-1,1),new r("løst",-1,2)],w=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],p=[239,254,42,3,0,0,0,0,0,0,0,0,0,0,0,0,16],f=new i;this.setCurrent=function(e){f.setCurrent(e)},this.getCurrent=function(){return f.getCurrent()},this.stem=function(){var r=f.cursor;return e(),f.limit_backward=r,f.cursor=f.limit,n(),f.cursor=f.limit,t(),f.cursor=f.limit,s(),f.cursor=f.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return n.setCurrent(e),n.stem(),n.getCurrent()}):(n.setCurrent(e),n.stem(),n.getCurrent())}}(),e.Pipeline.registerFunction(e.da.stemmer,"stemmer-da"),e.da.stopWordFilter=e.generateStopWordFilter("ad af alle alt anden at blev blive bliver da de dem den denne der deres det dette dig din disse dog du efter eller en end er et for fra ham han hans har havde have hende hendes her hos hun hvad hvis hvor i ikke ind jeg jer jo kunne man mange med meget men mig min mine mit mod ned noget nogle nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.de.min.js b/site/assets/javascripts/lunr/min/lunr.de.min.js
deleted file mode 100644
index f3b5c108c9eebfe8a207e9fad1dc3ab571aa0d5c..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.de.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `German` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.de=function(){this.pipeline.reset(),this.pipeline.add(e.de.trimmer,e.de.stopWordFilter,e.de.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.de.stemmer))},e.de.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.de.trimmer=e.trimmerSupport.generateTrimmer(e.de.wordCharacters),e.Pipeline.registerFunction(e.de.trimmer,"trimmer-de"),e.de.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,n){return!(!v.eq_s(1,e)||(v.ket=v.cursor,!v.in_grouping(p,97,252)))&&(v.slice_from(r),v.cursor=n,!0)}function i(){for(var r,n,i,s,t=v.cursor;;)if(r=v.cursor,v.bra=r,v.eq_s(1,"ß"))v.ket=v.cursor,v.slice_from("ss");else{if(r>=v.limit)break;v.cursor=r+1}for(v.cursor=t;;)for(n=v.cursor;;){if(i=v.cursor,v.in_grouping(p,97,252)){if(s=v.cursor,v.bra=s,e("u","U",i))break;if(v.cursor=s,e("y","Y",i))break}if(i>=v.limit)return void(v.cursor=n);v.cursor=i+1}}function s(){for(;!v.in_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}for(;!v.out_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}return!1}function t(){m=v.limit,l=m;var e=v.cursor+3;0<=e&&e<=v.limit&&(d=e,s()||(m=v.cursor,m<d&&(m=d),s()||(l=v.cursor)))}function o(){for(var e,r;;){if(r=v.cursor,v.bra=r,!(e=v.find_among(h,6)))return;switch(v.ket=v.cursor,e){case 1:v.slice_from("y");break;case 2:case 5:v.slice_from("u");break;case 3:v.slice_from("a");break;case 4:v.slice_from("o");break;case 6:if(v.cursor>=v.limit)return;v.cursor++}}}function c(){return m<=v.cursor}function u(){return l<=v.cursor}function a(){var e,r,n,i,s=v.limit-v.cursor;if(v.ket=v.cursor,(e=v.find_among_b(w,7))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:v.slice_del(),v.ket=v.cursor,v.eq_s_b(1,"s")&&(v.bra=v.cursor,v.eq_s_b(3,"nis")&&v.slice_del());break;case 3:v.in_grouping_b(g,98,116)&&v.slice_del()}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(f,4))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:if(v.in_grouping_b(k,98,116)){var t=v.cursor-3;v.limit_backward<=t&&t<=v.limit&&(v.cursor=t,v.slice_del())}}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(_,8))&&(v.bra=v.cursor,u()))switch(e){case 1:v.slice_del(),v.ket=v.cursor,v.eq_s_b(2,"ig")&&(v.bra=v.cursor,r=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-r,u()&&v.slice_del()));break;case 2:n=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-n,v.slice_del());break;case 3:if(v.slice_del(),v.ket=v.cursor,i=v.limit-v.cursor,!v.eq_s_b(2,"er")&&(v.cursor=v.limit-i,!v.eq_s_b(2,"en")))break;v.bra=v.cursor,c()&&v.slice_del();break;case 4:v.slice_del(),v.ket=v.cursor,e=v.find_among_b(b,2),e&&(v.bra=v.cursor,u()&&1==e&&v.slice_del())}}var d,l,m,h=[new r("",-1,6),new r("U",0,2),new r("Y",0,1),new r("ä",0,3),new r("ö",0,4),new r("ü",0,5)],w=[new r("e",-1,2),new r("em",-1,1),new r("en",-1,2),new r("ern",-1,1),new r("er",-1,1),new r("s",-1,3),new r("es",5,2)],f=[new r("en",-1,1),new r("er",-1,1),new r("st",-1,2),new r("est",2,1)],b=[new r("ig",-1,1),new r("lich",-1,1)],_=[new r("end",-1,1),new r("ig",-1,2),new r("ung",-1,1),new r("lich",-1,3),new r("isch",-1,2),new r("ik",-1,2),new r("heit",-1,3),new r("keit",-1,4)],p=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,8,0,32,8],g=[117,30,5],k=[117,30,4],v=new n;this.setCurrent=function(e){v.setCurrent(e)},this.getCurrent=function(){return v.getCurrent()},this.stem=function(){var e=v.cursor;return i(),v.cursor=e,t(),v.limit_backward=e,v.cursor=v.limit,a(),v.cursor=v.limit_backward,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.de.stemmer,"stemmer-de"),e.de.stopWordFilter=e.generateStopWordFilter("aber alle allem allen aller alles als also am an ander andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.du.min.js b/site/assets/javascripts/lunr/min/lunr.du.min.js
deleted file mode 100644
index 49a0f3f0ac1786344ef7edbb969356f1b2ee8d48..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.du.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Dutch` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");console.warn('[Lunr Languages] Please use the "nl" instead of the "du". The "nl" code is the standard code for Dutch language, and "du" will be removed in the next major versions.'),e.du=function(){this.pipeline.reset(),this.pipeline.add(e.du.trimmer,e.du.stopWordFilter,e.du.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.du.stemmer))},e.du.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.du.trimmer=e.trimmerSupport.generateTrimmer(e.du.wordCharacters),e.Pipeline.registerFunction(e.du.trimmer,"trimmer-du"),e.du.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){for(var e,r,i,o=C.cursor;;){if(C.bra=C.cursor,e=C.find_among(b,11))switch(C.ket=C.cursor,e){case 1:C.slice_from("a");continue;case 2:C.slice_from("e");continue;case 3:C.slice_from("i");continue;case 4:C.slice_from("o");continue;case 5:C.slice_from("u");continue;case 6:if(C.cursor>=C.limit)break;C.cursor++;continue}break}for(C.cursor=o,C.bra=o,C.eq_s(1,"y")?(C.ket=C.cursor,C.slice_from("Y")):C.cursor=o;;)if(r=C.cursor,C.in_grouping(q,97,232)){if(i=C.cursor,C.bra=i,C.eq_s(1,"i"))C.ket=C.cursor,C.in_grouping(q,97,232)&&(C.slice_from("I"),C.cursor=r);else if(C.cursor=i,C.eq_s(1,"y"))C.ket=C.cursor,C.slice_from("Y"),C.cursor=r;else if(n(r))break}else if(n(r))break}function n(e){return C.cursor=e,e>=C.limit||(C.cursor++,!1)}function o(){_=C.limit,f=_,t()||(_=C.cursor,_<3&&(_=3),t()||(f=C.cursor))}function t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var e;;)if(C.bra=C.cursor,e=C.find_among(p,3))switch(C.ket=C.cursor,e){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return f<=C.cursor}function a(){var e=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-e,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var e;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.slice_del(),w=!0,a())))}function m(){var e;u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.eq_s_b(3,"gem")||(C.cursor=C.limit-e,C.slice_del(),a())))}function d(){var e,r,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,e=C.find_among_b(h,5))switch(C.bra=C.cursor,e){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(z,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(r=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-r,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,e=C.find_among_b(k,6))switch(C.bra=C.cursor,e){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(j,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var f,_,w,b=[new r("",-1,6),new r("á",0,1),new r("ä",0,1),new r("é",0,2),new r("ë",0,2),new r("í",0,3),new r("ï",0,3),new r("ó",0,4),new r("ö",0,4),new r("ú",0,5),new r("ü",0,5)],p=[new r("",-1,3),new r("I",0,2),new r("Y",0,1)],g=[new r("dd",-1,-1),new r("kk",-1,-1),new r("tt",-1,-1)],h=[new r("ene",-1,2),new r("se",-1,3),new r("en",-1,2),new r("heden",2,1),new r("s",-1,3)],k=[new r("end",-1,1),new r("ig",-1,2),new r("ing",-1,1),new r("lijk",-1,3),new r("baar",-1,4),new r("bar",-1,5)],v=[new r("aa",-1,-1),new r("ee",-1,-1),new r("oo",-1,-1),new r("uu",-1,-1)],q=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],j=[1,0,0,17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],z=[17,67,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],C=new i;this.setCurrent=function(e){C.setCurrent(e)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var r=C.cursor;return e(),C.cursor=r,o(),C.limit_backward=r,C.cursor=C.limit,d(),C.cursor=C.limit_backward,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return n.setCurrent(e),n.stem(),n.getCurrent()}):(n.setCurrent(e),n.stem(),n.getCurrent())}}(),e.Pipeline.registerFunction(e.du.stemmer,"stemmer-du"),e.du.stopWordFilter=e.generateStopWordFilter(" aan al alles als altijd andere ben bij daar dan dat de der deze die dit doch doen door dus een eens en er ge geen geweest haar had heb hebben heeft hem het hier hij hoe hun iemand iets ik in is ja je kan kon kunnen maar me meer men met mij mijn moet na naar niet niets nog nu of om omdat onder ons ook op over reeds te tegen toch toen tot u uit uw van veel voor want waren was wat werd wezen wie wil worden wordt zal ze zelf zich zij zijn zo zonder zou".split(" ")),e.Pipeline.registerFunction(e.du.stopWordFilter,"stopWordFilter-du")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.el.min.js b/site/assets/javascripts/lunr/min/lunr.el.min.js
deleted file mode 100644
index ace017bd650d2f66a4929d431e0d133a45f2d5a7..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.el.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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null!==o&&(s=o[1]+l[o[2]]),null!==(o=/^(.+?)(ΑΔΕΣ|ΑΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΚ|ΜΑΜ|ΜΑΝ|ΜΠΑΜΠ|ΠΑΤΕΡ|ΓΙΑΓΙ|ΝΤΑΝΤ|ΚΥΡ|ΘΕΙ|ΠΕΘΕΡ|ΜΟΥΣΑΜ|ΚΑΠΛΑΜ|ΠΑΡ|ΨΑΡ|ΤΖΟΥΡ|ΤΑΜΠΟΥΡ|ΓΑΛΑΤ|ΦΑΦΛΑΤ)$/.test(o[1])||(s+="ΑΔ")),null!==(o=/^(.+?)(ΕΔΕΣ|ΕΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΠ|ΙΠ|ΕΜΠ|ΥΠ|ΓΗΠ|ΔΑΠ|ΚΡΑΣΠ|ΜΙΛ)$/.test(o[1])&&(s+="ΕΔ")),null!==(o=/^(.+?)(ΟΥΔΕΣ|ΟΥΔΩΝ)$/.exec(s))&&(s=o[1],/(ΑΡΚ|ΚΑΛΙΑΚ|ΠΕΤΑΛ|ΛΙΧ|ΠΛΕΞ|ΣΚ|Σ|ΦΛ|ΦΡ|ΒΕΛ|ΛΟΥΛ|ΧΝ|ΣΠ|ΤΡΑΓ|ΦΕ)$/.test(o[1])&&(s+="ΟΥΔ")),null!==(o=/^(.+?)(ΕΩΣ|ΕΩΝ|ΕΑΣ|ΕΑ)$/.exec(s))&&(s=o[1],/^(Θ|Δ|ΕΛ|ΓΑΛ|Ν|Π|ΙΔ|ΠΑΡ|ΣΤΕΡ|ΟΡΦ|ΑΝΔΡ|ΑΝΤΡ)$/.test(o[1])&&(s+="Ε")),null!==(o=/^(.+?)(ΕΙΟ|ΕΙΟΣ|ΕΙΟΙ|ΕΙΑ|ΕΙΑΣ|ΕΙΕΣ|ΕΙΟΥ|ΕΙΟΥΣ|ΕΙΩΝ)$/.exec(s))&&o[1].length>4&&(s=o[1]),null!==(o=/^(.+?)(ΙΟΥΣ|ΙΑΣ|ΙΕΣ|ΙΟΣ|ΙΟΥ|ΙΟΙ|ΙΩΝ|ΙΟΝ|ΙΑ|ΙΟ)$/.exec(s))&&(s=o[1],(t(s)||s.length<2||/^(ΑΓ|ΑΓΓΕΛ|ΑΓΡ|ΑΕΡ|ΑΘΛ|ΑΚΟΥΣ|ΑΞ|ΑΣ|Β|ΒΙΒΛ|ΒΥΤ|Γ|ΓΙΑΓ|ΓΩΝ|Δ|ΔΑΝ|ΔΗΛ|ΔΗΜ|ΔΟΚΙΜ|ΕΛ|ΖΑΧΑΡ|ΗΛ|ΗΠ|ΙΔ|ΙΣΚ|ΙΣΤ|ΙΟΝ|ΙΩΝ|ΚΙΜΩΛ|ΚΟΛΟΝ|ΚΟΡ|ΚΤΗΡ|ΚΥΡ|ΛΑΓ|ΛΟΓ|ΜΑΓ|ΜΠΑΝ|ΜΠΡ|ΝΑΥΤ|ΝΟΤ|ΟΠΑΛ|ΟΞ|ΟΡ|ΟΣ|ΠΑΝΑΓ|ΠΑΤΡ|ΠΗΛ|ΠΗΝ|ΠΛΑΙΣ|ΠΟΝΤ|ΡΑΔ|ΡΟΔ|ΣΚ|ΣΚΟΡΠ|ΣΟΥΝ|ΣΠΑΝ|ΣΤΑΔ|ΣΥΡ|ΤΗΛ|ΤΙΜ|ΤΟΚ|ΤΟΠ|ΤΡΟΧ|ΦΙΛ|ΦΩΤ|Χ|ΧΙΛ|ΧΡΩΜ|ΧΩΡ)$/.test(o[1]))&&(s+="Ι"),/^(ΠΑΛ)$/.test(o[1])&&(s+="ΑΙ")),null!==(o=/^(.+?)(ΙΚΟΣ|ΙΚΟΝ|ΙΚΕΙΣ|ΙΚΟΙ|ΙΚΕΣ|ΙΚΟΥΣ|ΙΚΗ|ΙΚΗΣ|ΙΚΟ|ΙΚΑ|ΙΚΟΥ|ΙΚΩΝ|ΙΚΩΣ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΑΔ|ΑΛ|ΑΜΑΝ|ΑΜΕΡ|ΑΜΜΟΧΑΛ|ΑΝΗΘ|ΑΝΤΙΔ|ΑΠΛ|ΑΤΤ|ΑΦΡ|ΒΑΣ|ΒΡΩΜ|ΓΕΝ|ΓΕΡ|Δ|ΔΙΚΑΝ|ΔΥΤ|ΕΙΔ|ΕΝΔ|ΕΞΩΔ|ΗΘ|ΘΕΤ|ΚΑΛΛΙΝ|ΚΑΛΠ|ΚΑΤΑΔ|ΚΟΥΖΙΝ|ΚΡ|ΚΩΔ|ΛΟΓ|Μ|ΜΕΡ|ΜΟΝΑΔ|ΜΟΥΛ|ΜΟΥΣ|ΜΠΑΓΙΑΤ|ΜΠΑΝ|ΜΠΟΛ|ΜΠΟΣ|ΜΥΣΤ|Ν|ΝΙΤ|ΞΙΚ|ΟΠΤ|ΠΑΝ|ΠΕΤΣ|ΠΙΚΑΝΤ|ΠΙΤΣ|ΠΛΑΣΤ|ΠΛΙΑΤΣ|ΠΟΝΤ|ΠΟΣΤΕΛΝ|ΠΡΩΤΟΔ|ΣΕΡΤ|ΣΗΜΑΝΤ|ΣΤΑΤ|ΣΥΝΑΔ|ΣΥΝΟΜΗΛ|ΤΕΛ|ΤΕΧΝ|ΤΡΟΠ|ΤΣΑΜ|ΥΠΟΔ|Φ|ΦΙΛΟΝ|ΦΥΛΟΔ|ΦΥΣ|ΧΑΣ)$/.test(o[1])||/(ΦΟΙΝ)$/.test(o[1]))&&(s+="ΙΚ")),"ΑΓΑΜΕ"===s&&(s="ΑΓΑΜ"),null!==(o=/^(.+?)(ΑΓΑΜΕ|ΗΣΑΜΕ|ΟΥΣΑΜΕ|ΗΚΑΜΕ|ΗΘΗΚΑΜΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΑΜΕ)$/.exec(s))&&(s=o[1],/^(ΑΝΑΠ|ΑΠΟΘ|ΑΠΟΚ|ΑΠΟΣΤ|ΒΟΥΒ|ΞΕΘ|ΟΥΛ|ΠΕΘ|ΠΙΚΡ|ΠΟΤ|ΣΙΧ|Χ)$/.test(o[1])&&(s+="ΑΜ")),null!==(o=/^(.+?)(ΑΓΑΝΕ|ΗΣΑΝΕ|ΟΥΣΑΝΕ|ΙΟΝΤΑΝΕ|ΙΟΤΑΝΕ|ΙΟΥΝΤΑΝΕ|ΟΝΤΑΝΕ|ΟΤΑΝΕ|ΟΥΝΤΑΝΕ|ΗΚΑΝΕ|ΗΘΗΚΑΝΕ)$/.exec(s))&&(s=o[1],/^(ΤΡ|ΤΣ)$/.test(o[1])&&(s+="ΑΓΑΝ")),null!==(o=/^(.+?)(ΑΝΕ)$/.exec(s))&&(s=o[1],(r(s)||/^(ΒΕΤΕΡ|ΒΟΥΛΚ|ΒΡΑΧΜ|Γ|ΔΡΑΔΟΥΜ|Θ|ΚΑΛΠΟΥΖ|ΚΑΣΤΕΛ|ΚΟΡΜΟΡ|ΛΑΟΠΛ|ΜΩΑΜΕΘ|Μ|ΜΟΥΣΟΥΛΜΑΝ|ΟΥΛ|Π|ΠΕΛΕΚ|ΠΛ|ΠΟΛΙΣ|ΠΟΡΤΟΛ|ΣΑΡΑΚΑΤΣ|ΣΟΥΛΤ|ΤΣΑΡΛΑΤ|ΟΡΦ|ΤΣΙΓΓ|ΤΣΟΠ|ΦΩΤΟΣΤΕΦ|Χ|ΨΥΧΟΠΛ|ΑΓ|ΟΡΦ|ΓΑΛ|ΓΕΡ|ΔΕΚ|ΔΙΠΛ|ΑΜΕΡΙΚΑΝ|ΟΥΡ|ΠΙΘ|ΠΟΥΡΙΤ|Σ|ΖΩΝΤ|ΙΚ|ΚΑΣΤ|ΚΟΠ|ΛΙΧ|ΛΟΥΘΗΡ|ΜΑΙΝΤ|ΜΕΛ|ΣΙΓ|ΣΠ|ΣΤΕΓ|ΤΡΑΓ|ΤΣΑΓ|Φ|ΕΡ|ΑΔΑΠ|ΑΘΙΓΓ|ΑΜΗΧ|ΑΝΙΚ|ΑΝΟΡΓ|ΑΠΗΓ|ΑΠΙΘ|ΑΤΣΙΓΓ|ΒΑΣ|ΒΑΣΚ|ΒΑΘΥΓΑΛ|ΒΙΟΜΗΧ|ΒΡΑΧΥΚ|ΔΙΑΤ|ΔΙΑΦ|ΕΝΟΡΓ|ΘΥΣ|ΚΑΠΝΟΒΙΟΜΗΧ|ΚΑΤΑΓΑΛ|ΚΛΙΒ|ΚΟΙΛΑΡΦ|ΛΙΒ|ΜΕΓΛΟΒΙΟΜΗΧ|ΜΙΚΡΟΒΙΟΜΗΧ|ΝΤΑΒ|ΞΗΡΟΚΛΙΒ|ΟΛΙΓΟΔΑΜ|ΟΛΟΓΑΛ|ΠΕΝΤΑΡΦ|ΠΕΡΗΦ|ΠΕΡΙΤΡ|ΠΛΑΤ|ΠΟΛΥΔΑΠ|ΠΟΛΥΜΗΧ|ΣΤΕΦ|ΤΑΒ|ΤΕΤ|ΥΠΕΡΗΦ|ΥΠΟΚΟΠ|ΧΑΜΗΛΟΔΑΠ|ΨΗΛΟΤΑΒ)$/.test(o[1]))&&(s+="ΑΝ")),null!==(o=/^(.+?)(ΗΣΕΤΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΕΤΕ)$/.exec(s))&&(s=o[1],(r(s)||/(ΟΔ|ΑΙΡ|ΦΟΡ|ΤΑΘ|ΔΙΑΘ|ΣΧ|ΕΝΔ|ΕΥΡ|ΤΙΘ|ΥΠΕΡΘ|ΡΑΘ|ΕΝΘ|ΡΟΘ|ΣΘ|ΠΥΡ|ΑΙΝ|ΣΥΝΔ|ΣΥΝ|ΣΥΝΘ|ΧΩΡ|ΠΟΝ|ΒΡ|ΚΑΘ|ΕΥΘ|ΕΚΘ|ΝΕΤ|ΡΟΝ|ΑΡΚ|ΒΑΡ|ΒΟΛ|ΩΦΕΛ)$/.test(o[1])||/^(ΑΒΑΡ|ΒΕΝ|ΕΝΑΡ|ΑΒΡ|ΑΔ|ΑΘ|ΑΝ|ΑΠΛ|ΒΑΡΟΝ|ΝΤΡ|ΣΚ|ΚΟΠ|ΜΠΟΡ|ΝΙΦ|ΠΑΓ|ΠΑΡΑΚΑΛ|ΣΕΡΠ|ΣΚΕΛ|ΣΥΡΦ|ΤΟΚ|Υ|Δ|ΕΜ|ΘΑΡΡ|Θ)$/.test(o[1]))&&(s+="ΕΤ")),null!==(o=/^(.+?)(ΟΝΤΑΣ|ΩΝΤΑΣ)$/.exec(s))&&(s=o[1],/^ΑΡΧ$/.test(o[1])&&(s+="ΟΝΤ"),/ΚΡΕ$/.test(o[1])&&(s+="ΩΝΤ")),null!==(o=/^(.+?)(ΟΜΑΣΤΕ|ΙΟΜΑΣΤΕ)$/.exec(s))&&(s=o[1],/^ΟΝ$/.test(o[1])&&(s+="ΟΜΑΣΤ")),null!==(o=/^(.+?)(ΙΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(Π|ΑΠ|ΣΥΜΠ|ΑΣΥΜΠ|ΑΚΑΤΑΠ|ΑΜΕΤΑΜΦ)$/.test(o[1])&&(s+="ΙΕΣΤ")),null!==(o=/^(.+?)(ΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΛ|ΑΡ|ΕΚΤΕΛ|Ζ|Μ|Ξ|ΠΑΡΑΚΑΛ|ΠΡΟ|ΝΙΣ)$/.test(o[1])&&(s+="ΕΣΤ")),null!==(o=/^(.+?)(ΗΘΗΚΑ|ΗΘΗΚΕΣ|ΗΘΗΚΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΗΚΑ|ΗΚΕΣ|ΗΚΕ)$/.exec(s))&&(s=o[1],(/(ΣΚΩΛ|ΣΚΟΥΛ|ΝΑΡΘ|ΣΦ|ΟΘ|ΠΙΘ)$/.test(o[1])||/^(ΔΙΑΘ|Θ|ΠΑΡΑΚΑΤΑΘ|ΠΡΟΣΘ|ΣΥΝΘ)$/.test(o[1]))&&(s+="ΗΚ")),null!==(o=/^(.+?)(ΟΥΣΑ|ΟΥΣΕΣ|ΟΥΣΕ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΦΑΡΜΑΚ|ΧΑΔ|ΑΓΚ|ΑΝΑΡΡ|ΒΡΟΜ|ΕΚΛΙΠ|ΛΑΜΠΙΔ|ΛΕΧ|Μ|ΠΑΤ|Ρ|Λ|ΜΕΔ|ΜΕΣΑΖ|ΥΠΟΤΕΙΝ|ΑΜ|ΑΙΘ|ΑΝΗΚ|ΔΕΣΠΟΖ|ΕΝΔΙΑΦΕΡ)$/.test(o[1])||/(ΠΟΔΑΡ|ΒΛΕΠ|ΠΑΝΤΑΧ|ΦΡΥΔ|ΜΑΝΤΙΛ|ΜΑΛΛ|ΚΥΜΑΤ|ΛΑΧ|ΛΗΓ|ΦΑΓ|ΟΜ|ΠΡΩΤ)$/.test(o[1]))&&(s+="ΟΥΣ")),null!==(o=/^(.+?)(ΑΓΑ|ΑΓΕΣ|ΑΓΕ)$/.exec(s))&&(s=o[1],(/^(ΑΒΑΣΤ|ΠΟΛΥΦ|ΑΔΗΦ|ΠΑΜΦ|Ρ|ΑΣΠ|ΑΦ|ΑΜΑΛ|ΑΜΑΛΛΙ|ΑΝΥΣΤ|ΑΠΕΡ|ΑΣΠΑΡ|ΑΧΑΡ|ΔΕΡΒΕΝ|ΔΡΟΣΟΠ|ΞΕΦ|ΝΕΟΠ|ΝΟΜΟΤ|ΟΛΟΠ|ΟΜΟΤ|ΠΡΟΣΤ|ΠΡΟΣΩΠΟΠ|ΣΥΜΠ|ΣΥΝΤ|Τ|ΥΠΟΤ|ΧΑΡ|ΑΕΙΠ|ΑΙΜΟΣΤ|ΑΝΥΠ|ΑΠΟΤ|ΑΡΤΙΠ|ΔΙΑΤ|ΕΝ|ΕΠΙΤ|ΚΡΟΚΑΛΟΠ|ΣΙΔΗΡΟΠ|Λ|ΝΑΥ|ΟΥΛΑΜ|ΟΥΡ|Π|ΤΡ|Μ)$/.test(o[1])||/(ΟΦ|ΠΕΛ|ΧΟΡΤ|ΛΛ|ΣΦ|ΡΠ|ΦΡ|ΠΡ|ΛΟΧ|ΣΜΗΝ)$/.test(o[1])&&!/^(ΨΟΦ|ΝΑΥΛΟΧ)$/.test(o[1])||/(ΚΟΛΛ)$/.test(o[1]))&&(s+="ΑΓ")),null!==(o=/^(.+?)(ΗΣΕ|ΗΣΟΥ|ΗΣΑ)$/.exec(s))&&(s=o[1],/^(Ν|ΧΕΡΣΟΝ|ΔΩΔΕΚΑΝ|ΕΡΗΜΟΝ|ΜΕΓΑΛΟΝ|ΕΠΤΑΝ|Ι)$/.test(o[1])&&(s+="ΗΣ")),null!==(o=/^(.+?)(ΗΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΣΒ|ΣΒ|ΑΧΡ|ΧΡ|ΑΠΛ|ΑΕΙΜΝ|ΔΥΣΧΡ|ΕΥΧΡ|ΚΟΙΝΟΧΡ|ΠΑΛΙΜΨ)$/.test(o[1])&&(s+="ΗΣΤ")),null!==(o=/^(.+?)(ΟΥΝΕ|ΗΣΟΥΝΕ|ΗΘΟΥΝΕ)$/.exec(s))&&(s=o[1],/^(Ν|Ρ|ΣΠΙ|ΣΤΡΑΒΟΜΟΥΤΣ|ΚΑΚΟΜΟΥΤΣ|ΕΞΩΝ)$/.test(o[1])&&(s+="ΟΥΝ")),null!==(o=/^(.+?)(ΟΥΜΕ|ΗΣΟΥΜΕ|ΗΘΟΥΜΕ)$/.exec(s))&&(s=o[1],/^(ΠΑΡΑΣΟΥΣ|Φ|Χ|ΩΡΙΟΠΛ|ΑΖ|ΑΛΛΟΣΟΥΣ|ΑΣΟΥΣ)$/.test(o[1])&&(s+="ΟΥΜ")),null!=(o=/^(.+?)(ΜΑΤΟΙ|ΜΑΤΟΥΣ|ΜΑΤΟ|ΜΑΤΑ|ΜΑΤΩΣ|ΜΑΤΩΝ|ΜΑΤΟΣ|ΜΑΤΕΣ|ΜΑΤΗ|ΜΑΤΗΣ|ΜΑΤΟΥ)$/.exec(s))&&(s=o[1]+"Μ",/^(ΓΡΑΜ)$/.test(o[1])?s+="Α":/^(ΓΕ|ΣΤΑ)$/.test(o[1])&&(s+="ΑΤ")),null!==(o=/^(.+?)(ΟΥΑ)$/.exec(s))&&(s=o[1]+"ΟΥ"),n.length===s.length&&null!==(o=/^(.+?)(Α|ΑΓΑΤΕ|ΑΓΑΝ|ΑΕΙ|ΑΜΑΙ|ΑΝ|ΑΣ|ΑΣΑΙ|ΑΤΑΙ|ΑΩ|Ε|ΕΙ|ΕΙΣ|ΕΙΤΕ|ΕΣΑΙ|ΕΣ|ΕΤΑΙ|Ι|ΙΕΜΑΙ|ΙΕΜΑΣΤΕ|ΙΕΤΑΙ|ΙΕΣΑΙ|ΙΕΣΑΣΤΕ|ΙΟΜΑΣΤΑΝ|ΙΟΜΟΥΝ|ΙΟΜΟΥΝΑ|ΙΟΝΤΑΝ|ΙΟΝΤΟΥΣΑΝ|ΙΟΣΑΣΤΑΝ|ΙΟΣΑΣΤΕ|ΙΟΣΟΥΝ|ΙΟΣΟΥΝΑ|ΙΟΤΑΝ|ΙΟΥΜΑ|ΙΟΥΜΑΣΤΕ|ΙΟΥΝΤΑΙ|ΙΟΥΝΤΑΝ|Η|ΗΔΕΣ|ΗΔΩΝ|ΗΘΕΙ|ΗΘΕΙΣ|ΗΘΕΙΤΕ|ΗΘΗΚΑΤΕ|ΗΘΗΚΑΝ|ΗΘΟΥΝ|ΗΘΩ|ΗΚΑΤΕ|ΗΚΑΝ|ΗΣ|ΗΣΑΝ|ΗΣΑΤΕ|ΗΣΕΙ|ΗΣΕΣ|ΗΣΟΥΝ|ΗΣΩ|Ο|ΟΙ|ΟΜΑΙ|ΟΜΑΣΤΑΝ|ΟΜΟΥΝ|ΟΜΟΥΝΑ|ΟΝΤΑΙ|ΟΝΤΑΝ|ΟΝΤΟΥΣΑΝ|ΟΣ|ΟΣΑΣΤΑΝ|ΟΣΑΣΤΕ|ΟΣΟΥΝ|ΟΣΟΥΝΑ|ΟΤΑΝ|ΟΥ|ΟΥΜΑΙ|ΟΥΜΑΣΤΕ|ΟΥΝ|ΟΥΝΤΑΙ|ΟΥΝΤΑΝ|ΟΥΣ|ΟΥΣΑΝ|ΟΥΣΑΤΕ|Υ||ΥΑ|ΥΣ|Ω|ΩΝ|ΟΙΣ)$/.exec(s))&&(s=o[1]),null!=(o=/^(.+?)(ΕΣΤΕΡ|ΕΣΤΑΤ|ΟΤΕΡ|ΟΤΑΤ|ΥΤΕΡ|ΥΤΑΤ|ΩΤΕΡ|ΩΤΑΤ)$/.exec(s))&&(/^(ΕΞ|ΕΣ|ΑΝ|ΚΑΤ|Κ|ΠΡ)$/.test(o[1])||(s=o[1]),/^(ΚΑ|Μ|ΕΛΕ|ΛΕ|ΔΕ)$/.test(o[1])&&(s+="ΥΤ")),s}var 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diff --git a/site/assets/javascripts/lunr/min/lunr.es.min.js b/site/assets/javascripts/lunr/min/lunr.es.min.js
deleted file mode 100644
index 2989d34265c9c7953c52b26d90cd87a24e9b927b..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.es.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Spanish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
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\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.fi.min.js b/site/assets/javascripts/lunr/min/lunr.fi.min.js
deleted file mode 100644
index 29f5dfcea8f3dbc6d2331345b68156607e233eab..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.fi.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Finnish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(i,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():e()(i.lunr)}(this,function(){return function(i){if(void 0===i)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===i.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.fr.min.js b/site/assets/javascripts/lunr/min/lunr.fr.min.js
deleted file mode 100644
index 68cd0094ae03737ba72923d2ea1a3919a57b4f0b..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.fr.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `French` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.he.min.js b/site/assets/javascripts/lunr/min/lunr.he.min.js
deleted file mode 100644
index b863d3eae0a33c7ce6590037a89cbb57255290b0..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.he.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.he=function(){this.pipeline.reset(),this.pipeline.add(e.he.trimmer,e.he.stopWordFilter,e.he.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.he.stemmer))},e.he.wordCharacters="֑-״א-תa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.he.trimmer=e.trimmerSupport.generateTrimmer(e.he.wordCharacters),e.Pipeline.registerFunction(e.he.trimmer,"trimmer-he"),e.he.stemmer=function(){var e=this;return e.result=!1,e.preRemoved=!1,e.sufRemoved=!1,e.pre={pre1:"ה ו י ת",pre2:"ב כ ל מ ש כש",pre3:"הב הכ הל המ הש בש לכ",pre4:"וב וכ ול ומ וש",pre5:"מה שה כל",pre6:"מב מכ מל ממ מש",pre7:"בה בו בי בת כה כו כי כת לה לו לי לת",pre8:"ובה ובו ובי ובת וכה וכו וכי וכת ולה ולו ולי ולת"},e.suf={suf1:"ך כ ם ן נ",suf2:"ים ות וך וכ ום ון ונ הם הן יכ יך ינ ים",suf3:"תי תך תכ תם תן תנ",suf4:"ותי ותך ותכ ותם ותן ותנ",suf5:"נו כם כן הם הן",suf6:"ונו וכם וכן והם והן",suf7:"תכם תכן תנו תהם תהן",suf8:"הוא היא הם הן אני אתה את אנו אתם אתן",suf9:"ני נו כי כו כם כן תי תך תכ תם תן",suf10:"י ך כ ם ן נ ת"},e.patterns=JSON.parse('{"hebrewPatterns": [{"pt1": [{"c": "ה", "l": 0}]}, {"pt2": [{"c": "ו", "l": 0}]}, {"pt3": [{"c": "י", "l": 0}]}, {"pt4": [{"c": "ת", "l": 0}]}, {"pt5": [{"c": "מ", "l": 0}]}, {"pt6": [{"c": "ל", "l": 0}]}, {"pt7": [{"c": "ב", "l": 0}]}, {"pt8": [{"c": "כ", "l": 0}]}, {"pt9": [{"c": "ש", "l": 0}]}, {"pt10": [{"c": "כש", "l": 0}]}, {"pt11": [{"c": "בה", "l": 0}]}, {"pt12": [{"c": "וב", "l": 0}]}, {"pt13": [{"c": "וכ", "l": 0}]}, {"pt14": [{"c": "ול", "l": 0}]}, {"pt15": [{"c": "ומ", "l": 0}]}, {"pt16": [{"c": "וש", "l": 0}]}, {"pt17": [{"c": "הב", "l": 0}]}, {"pt18": [{"c": "הכ", "l": 0}]}, {"pt19": [{"c": "הל", "l": 0}]}, {"pt20": [{"c": "המ", "l": 0}]}, {"pt21": [{"c": "הש", "l": 0}]}, {"pt22": [{"c": "מה", "l": 0}]}, {"pt23": [{"c": "שה", "l": 0}]}, {"pt24": [{"c": "כל", "l": 0}]}]}'),e.execArray=["cleanWord","removeDiacritics","removeStopWords","normalizeHebrewCharacters"],e.stem=function(){var r=0;for(e.result=!1,e.preRemoved=!1,e.sufRemoved=!1;r<e.execArray.length&&1!=e.result;)e.result=e[e.execArray[r]](),r++},e.setCurrent=function(r){e.word=r},e.getCurrent=function(){return e.word},e.cleanWord=function(){return!!new RegExp("[^֑-״א-ת]").test("")},e.removeDiacritics=function(){var r=new RegExp("[ְ-ֿ]","g");return e.word=e.word.replace(r,""),!1},e.removeStopWords=function(){if("אבל או אולי אותו אותי אותך אותם אותן אותנו אז אחר אחרות אחרי אחריכן אחרים אחרת אי איזה איך אין איפה אל אלה אלו אם אנחנו אני אף אפשר את אתה אתכם אתכן אתם אתן באיזה באיזו בגלל בין בלבד בעבור בעזרת בכל בכן בלי במידה במקום שבו ברוב בשביל בשעה ש בתוך גם דרך הוא היא היה היי היכן היתה היתי הם הן הנה הסיבה שבגללה הרי ואילו ואת זאת זה זות יהיה יוכל יוכלו יותר מדי יכול יכולה יכולות יכולים יכל יכלה יכלו יש כאן כאשר כולם כולן כזה כי כיצד כך כל כלל כמו כן כפי כש לא לאו לאיזותך לאן לבין לה להיות להם להן לו לזה לזות לי לך לכם לכן למה למעלה למעלה מ למטה למטה מ למעט למקום שבו למרות לנו לעבר לעיכן לפיכך לפני מאד מאחורי מאיזו סיבה מאין מאיפה מבלי מבעד מדוע מה מהיכן מול מחוץ מי מידע מכאן מכל מכן מלבד מן מנין מסוגל מעט מעטים מעל מצד מקום בו מתחת מתי נגד נגר נו עד עז על עלי עליו עליה עליהם עליך עלינו עם עצמה עצמהם עצמהן עצמו עצמי עצמם עצמן עצמנו פה רק שוב של שלה שלהם שלהן שלו שלי שלך שלכה שלכם שלכן שלנו שם תהיה תחת".split(" ").indexOf(e.word)>=0)return!0},e.normalizeHebrewCharacters=function(){return e.word=e.word.replace("ך","כ"),e.word=e.word.replace("ם","מ"),e.word=e.word.replace("ן","נ"),e.word=e.word.replace("ף","פ"),e.word=e.word.replace("ץ","צ"),!1},function(r){return"function"==typeof r.update?r.update(function(r){return e.setCurrent(r),e.stem(),e.getCurrent()}):(e.setCurrent(r),e.stem(),e.getCurrent())}}(),e.Pipeline.registerFunction(e.he.stemmer,"stemmer-he"),e.he.stopWordFilter=e.generateStopWordFilter("אבל או אולי אותו אותי אותך אותם אותן אותנו אז אחר אחרות אחרי אחריכן אחרים אחרת אי איזה איך אין איפה אל אלה אלו אם אנחנו אני אף אפשר את אתה אתכם אתכן אתם אתן באיזה באיזו בגלל בין בלבד בעבור בעזרת בכל בכן בלי במידה במקום שבו ברוב בשביל בשעה ש בתוך גם דרך הוא היא היה היי היכן היתה היתי הם הן הנה הסיבה שבגללה הרי ואילו ואת זאת זה זות יהיה יוכל יוכלו יותר מדי יכול יכולה יכולות יכולים יכל יכלה יכלו יש כאן כאשר כולם כולן כזה כי כיצד כך כל כלל כמו כן כפי כש לא לאו לאיזותך לאן לבין לה להיות להם להן לו לזה לזות לי לך לכם לכן למה למעלה למעלה מ למטה למטה מ למעט למקום שבו למרות לנו לעבר לעיכן לפיכך לפני מאד מאחורי מאיזו סיבה מאין מאיפה מבלי מבעד מדוע מה מהיכן מול מחוץ מי מידע מכאן מכל מכן מלבד מן מנין מסוגל מעט מעטים מעל מצד מקום בו מתחת מתי נגד נגר נו עד עז על עלי עליו עליה עליהם עליך עלינו עם עצמה עצמהם עצמהן עצמו עצמי עצמם עצמן עצמנו פה רק שוב של שלה שלהם שלהן שלו שלי שלך שלכה שלכם שלכן שלנו שם תהיה תחת".split(" ")),e.Pipeline.registerFunction(e.he.stopWordFilter,"stopWordFilter-he")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.hi.min.js b/site/assets/javascripts/lunr/min/lunr.hi.min.js
deleted file mode 100644
index 7dbc41402cf33eef80e038eeaaa4c89b9ec53ce8..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.hi.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hi=function(){this.pipeline.reset(),this.pipeline.add(e.hi.trimmer,e.hi.stopWordFilter,e.hi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hi.stemmer))},e.hi.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.hi.trimmer=e.trimmerSupport.generateTrimmer(e.hi.wordCharacters),e.Pipeline.registerFunction(e.hi.trimmer,"trimmer-hi"),e.hi.stopWordFilter=e.generateStopWordFilter("अत अपना अपनी अपने अभी अंदर आदि आप इत्यादि इन इनका इन्हीं इन्हें इन्हों इस इसका इसकी इसके इसमें इसी इसे उन उनका उनकी उनके उनको उन्हीं उन्हें उन्हों उस उसके उसी उसे एक एवं एस ऐसे और कई कर करता करते करना करने करें कहते कहा का काफ़ी कि कितना किन्हें किन्हों किया किर किस किसी किसे की कुछ कुल के को कोई कौन कौनसा गया घर जब जहाँ जा जितना जिन जिन्हें जिन्हों जिस जिसे जीधर जैसा जैसे जो तक तब तरह तिन तिन्हें तिन्हों तिस तिसे तो था थी थे दबारा दिया दुसरा दूसरे दो द्वारा न नके नहीं ना निहायत नीचे ने पर पहले पूरा पे फिर बनी बही बहुत बाद बाला बिलकुल भी भीतर मगर मानो मे में यदि यह यहाँ यही या यिह ये रखें रहा रहे ऱ्वासा लिए लिये लेकिन व वग़ैरह वर्ग वह वहाँ वहीं वाले वुह वे वो सकता सकते सबसे सभी साथ साबुत साभ सारा से सो संग ही हुआ हुई हुए है हैं हो होता होती होते होना होने".split(" ")),e.hi.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.hi.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var t=i.toString().toLowerCase().replace(/^\s+/,"");return r.cut(t).split("|")},e.Pipeline.registerFunction(e.hi.stemmer,"stemmer-hi"),e.Pipeline.registerFunction(e.hi.stopWordFilter,"stopWordFilter-hi")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.hu.min.js b/site/assets/javascripts/lunr/min/lunr.hu.min.js
deleted file mode 100644
index ed9d909f734464b707bc804eba5ef220618ed82a..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.hu.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Hungarian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hu=function(){this.pipeline.reset(),this.pipeline.add(e.hu.trimmer,e.hu.stopWordFilter,e.hu.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hu.stemmer))},e.hu.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.hu.trimmer=e.trimmerSupport.generateTrimmer(e.hu.wordCharacters),e.Pipeline.registerFunction(e.hu.trimmer,"trimmer-hu"),e.hu.stemmer=function(){var n=e.stemmerSupport.Among,r=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,n=L.cursor;if(d=L.limit,L.in_grouping(W,97,252))for(;;){if(e=L.cursor,L.out_grouping(W,97,252))return L.cursor=e,L.find_among(g,8)||(L.cursor=e,e<L.limit&&L.cursor++),void(d=L.cursor);if(L.cursor=e,e>=L.limit)return void(d=e);L.cursor++}if(L.cursor=n,L.out_grouping(W,97,252)){for(;!L.in_grouping(W,97,252);){if(L.cursor>=L.limit)return;L.cursor++}d=L.cursor}}function i(){return d<=L.cursor}function a(){var e;if(L.ket=L.cursor,(e=L.find_among_b(h,2))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("a");break;case 2:L.slice_from("e")}}function t(){var e=L.limit-L.cursor;return!!L.find_among_b(p,23)&&(L.cursor=L.limit-e,!0)}function s(){if(L.cursor>L.limit_backward){L.cursor--,L.ket=L.cursor;var e=L.cursor-1;L.limit_backward<=e&&e<=L.limit&&(L.cursor=e,L.bra=e,L.slice_del())}}function c(){var e;if(L.ket=L.cursor,(e=L.find_among_b(_,2))&&(L.bra=L.cursor,i())){if((1==e||2==e)&&!t())return;L.slice_del(),s()}}function o(){L.ket=L.cursor,L.find_among_b(v,44)&&(L.bra=L.cursor,i()&&(L.slice_del(),a()))}function w(){var e;if(L.ket=L.cursor,(e=L.find_among_b(z,3))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("e");break;case 2:case 3:L.slice_from("a")}}function l(){var e;if(L.ket=L.cursor,(e=L.find_among_b(y,6))&&(L.bra=L.cursor,i()))switch(e){case 1:case 2:L.slice_del();break;case 3:L.slice_from("a");break;case 4:L.slice_from("e")}}function u(){var e;if(L.ket=L.cursor,(e=L.find_among_b(j,2))&&(L.bra=L.cursor,i())){if((1==e||2==e)&&!t())return;L.slice_del(),s()}}function m(){var e;if(L.ket=L.cursor,(e=L.find_among_b(C,7))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("a");break;case 2:L.slice_from("e");break;case 3:case 4:case 5:case 6:case 7:L.slice_del()}}function k(){var e;if(L.ket=L.cursor,(e=L.find_among_b(P,12))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 7:case 9:L.slice_del();break;case 2:case 5:case 8:L.slice_from("e");break;case 3:case 6:L.slice_from("a")}}function f(){var e;if(L.ket=L.cursor,(e=L.find_among_b(F,31))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 7:case 8:case 9:case 12:case 13:case 16:case 17:case 18:L.slice_del();break;case 2:case 5:case 10:case 14:case 19:L.slice_from("a");break;case 3:case 6:case 11:case 15:case 20:L.slice_from("e")}}function b(){var e;if(L.ket=L.cursor,(e=L.find_among_b(S,42))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 5:case 6:case 9:case 10:case 11:case 14:case 15:case 16:case 17:case 20:case 21:case 24:case 25:case 26:case 29:L.slice_del();break;case 2:case 7:case 12:case 18:case 22:case 27:L.slice_from("a");break;case 3:case 8:case 13:case 19:case 23:case 28:L.slice_from("e")}}var d,g=[new n("cs",-1,-1),new n("dzs",-1,-1),new n("gy",-1,-1),new n("ly",-1,-1),new n("ny",-1,-1),new n("sz",-1,-1),new n("ty",-1,-1),new n("zs",-1,-1)],h=[new n("á",-1,1),new n("é",-1,2)],p=[new n("bb",-1,-1),new n("cc",-1,-1),new n("dd",-1,-1),new n("ff",-1,-1),new n("gg",-1,-1),new n("jj",-1,-1),new n("kk",-1,-1),new n("ll",-1,-1),new n("mm",-1,-1),new n("nn",-1,-1),new n("pp",-1,-1),new n("rr",-1,-1),new n("ccs",-1,-1),new n("ss",-1,-1),new n("zzs",-1,-1),new n("tt",-1,-1),new n("vv",-1,-1),new n("ggy",-1,-1),new n("lly",-1,-1),new n("nny",-1,-1),new n("tty",-1,-1),new n("ssz",-1,-1),new n("zz",-1,-1)],_=[new n("al",-1,1),new n("el",-1,2)],v=[new n("ba",-1,-1),new n("ra",-1,-1),new n("be",-1,-1),new n("re",-1,-1),new n("ig",-1,-1),new n("nak",-1,-1),new n("nek",-1,-1),new n("val",-1,-1),new n("vel",-1,-1),new n("ul",-1,-1),new n("nál",-1,-1),new n("nél",-1,-1),new n("ból",-1,-1),new n("ról",-1,-1),new n("tól",-1,-1),new n("bõl",-1,-1),new n("rõl",-1,-1),new n("tõl",-1,-1),new n("ül",-1,-1),new n("n",-1,-1),new n("an",19,-1),new n("ban",20,-1),new n("en",19,-1),new n("ben",22,-1),new n("képpen",22,-1),new n("on",19,-1),new n("ön",19,-1),new n("képp",-1,-1),new n("kor",-1,-1),new n("t",-1,-1),new n("at",29,-1),new n("et",29,-1),new n("ként",29,-1),new n("anként",32,-1),new n("enként",32,-1),new n("onként",32,-1),new n("ot",29,-1),new n("ért",29,-1),new n("öt",29,-1),new n("hez",-1,-1),new n("hoz",-1,-1),new n("höz",-1,-1),new n("vá",-1,-1),new n("vé",-1,-1)],z=[new n("án",-1,2),new n("én",-1,1),new n("ánként",-1,3)],y=[new n("stul",-1,2),new n("astul",0,1),new n("ástul",0,3),new n("stül",-1,2),new n("estül",3,1),new n("éstül",3,4)],j=[new n("á",-1,1),new n("é",-1,2)],C=[new n("k",-1,7),new n("ak",0,4),new n("ek",0,6),new n("ok",0,5),new 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e(),L.limit_backward=n,L.cursor=L.limit,c(),L.cursor=L.limit,o(),L.cursor=L.limit,w(),L.cursor=L.limit,l(),L.cursor=L.limit,u(),L.cursor=L.limit,k(),L.cursor=L.limit,f(),L.cursor=L.limit,b(),L.cursor=L.limit,m(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.hu.stemmer,"stemmer-hu"),e.hu.stopWordFilter=e.generateStopWordFilter("a abban ahhoz ahogy ahol aki akik akkor alatt amely amelyek amelyekben amelyeket amelyet amelynek ami amikor amit amolyan amíg annak arra arról az azok azon azonban azt aztán azután azzal azért be belül benne bár cikk cikkek cikkeket csak de e ebben eddig egy egyes egyetlen egyik egyre egyéb egész ehhez ekkor el ellen elsõ elég elõ elõször elõtt emilyen ennek erre ez ezek ezen ezt ezzel ezért fel felé hanem hiszen hogy hogyan igen ill ill. illetve ilyen ilyenkor ismét ison itt jobban jó jól kell kellett keressünk keresztül ki kívül között közül legalább legyen lehet lehetett lenne lenni lesz lett maga magát majd majd meg mellett mely melyek mert mi mikor milyen minden mindenki mindent mindig mint mintha mit mivel miért most már más másik még míg nagy nagyobb nagyon ne nekem neki nem nincs néha néhány nélkül olyan ott pedig persze rá s saját sem semmi sok sokat sokkal szemben szerint szinte számára talán tehát teljes tovább továbbá több ugyanis utolsó után utána vagy vagyis vagyok valaki valami valamint való van vannak vele vissza viszont volna volt voltak voltam voltunk által általában át én éppen és így õ õk õket össze úgy új újabb újra".split(" ")),e.Pipeline.registerFunction(e.hu.stopWordFilter,"stopWordFilter-hu")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.hy.min.js b/site/assets/javascripts/lunr/min/lunr.hy.min.js
deleted file mode 100644
index b37f79298555285a4ae1b01d5074ca37ef9997bd..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.hy.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hy=function(){this.pipeline.reset(),this.pipeline.add(e.hy.trimmer,e.hy.stopWordFilter)},e.hy.wordCharacters="[A-Za-z԰-֏ff-ﭏ]",e.hy.trimmer=e.trimmerSupport.generateTrimmer(e.hy.wordCharacters),e.Pipeline.registerFunction(e.hy.trimmer,"trimmer-hy"),e.hy.stopWordFilter=e.generateStopWordFilter("դու և եք էիր էիք հետո նաև նրանք որը վրա է որ պիտի են այս մեջ ն իր ու ի այդ որոնք այն կամ էր մի ես համար այլ իսկ էին ենք հետ ին թ էինք մենք նրա նա դուք եմ էի ըստ որպես ում".split(" ")),e.Pipeline.registerFunction(e.hy.stopWordFilter,"stopWordFilter-hy"),e.hy.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.hy.stemmer,"stemmer-hy")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.it.min.js b/site/assets/javascripts/lunr/min/lunr.it.min.js
deleted file mode 100644
index 344b6a3c0cf8e9d936ace3129b99158631ecdf6b..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.it.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Italian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
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r("evo",-1,1),new r("ivo",-1,1),new r("ar",-1,1),new r("ir",-1,1),new r("erà",-1,1),new r("irà",-1,1),new r("erò",-1,1),new r("irò",-1,1)],L=[17,65,16,0,0,0,0,0,0,0,0,0,0,0,0,128,128,8,2,1],y=[17,65,0,0,0,0,0,0,0,0,0,0,0,0,0,128,128,8,2],U=[17],x=new n;this.setCurrent=function(e){x.setCurrent(e)},this.getCurrent=function(){return x.getCurrent()},this.stem=function(){var e=x.cursor;return i(),x.cursor=e,u(),x.limit_backward=e,x.cursor=x.limit,f(),x.cursor=x.limit,v()||(x.cursor=x.limit,b()),x.cursor=x.limit,_(),x.cursor=x.limit_backward,c(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.it.stemmer,"stemmer-it"),e.it.stopWordFilter=e.generateStopWordFilter("a abbia abbiamo abbiano abbiate ad agl agli ai al all alla alle allo anche avemmo avendo avesse avessero avessi avessimo aveste avesti avete aveva avevamo avevano avevate avevi avevo avrai avranno avrebbe avrebbero avrei avremmo avremo avreste avresti avrete avrà avrò avuta avute avuti avuto c che chi ci coi col come con contro cui da dagl dagli dai dal dall dalla dalle dallo degl degli dei del dell della delle dello di dov dove e ebbe ebbero ebbi ed era erano eravamo eravate eri ero essendo faccia facciamo facciano facciate faccio facemmo facendo facesse facessero facessi facessimo faceste facesti faceva facevamo facevano facevate facevi facevo fai fanno farai faranno farebbe farebbero farei faremmo faremo fareste faresti farete farà farò fece fecero feci fosse fossero fossi fossimo foste fosti fu fui fummo furono gli ha hai hanno ho i il in io l la le lei li lo loro lui ma mi mia mie miei mio ne negl negli nei nel nell nella nelle nello noi non nostra nostre nostri nostro o per perché più quale quanta quante quanti quanto quella quelle quelli quello questa queste questi questo sarai saranno sarebbe sarebbero sarei saremmo saremo sareste saresti sarete sarà sarò se sei si sia siamo siano siate siete sono sta stai stando stanno starai staranno starebbe starebbero starei staremmo staremo stareste staresti starete starà starò stava stavamo stavano stavate stavi stavo stemmo stesse stessero stessi stessimo steste stesti stette stettero stetti stia stiamo stiano stiate sto su sua sue sugl sugli sui sul sull sulla sulle sullo suo suoi ti tra tu tua tue tuo tuoi tutti tutto un una uno vi voi vostra vostre vostri vostro è".split(" ")),e.Pipeline.registerFunction(e.it.stopWordFilter,"stopWordFilter-it")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.ja.min.js b/site/assets/javascripts/lunr/min/lunr.ja.min.js
deleted file mode 100644
index 5f254ebe91fa9ef0e78132f4c9e4142d845ed9c9..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ja.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t.toLowerCase()):t.toLowerCase()});for(o=i.toString().toLowerCase().replace(/^\s+/,""),n=o.length-1;n>=0;n--)if(/\S/.test(o.charAt(n))){o=o.substring(0,n+1);break}for(a=[],s=o.length,c=0,l=0;c<=s;c++)if(u=o.charAt(c),m=c-l,u.match(/\s/)||c==s){if(m>0)for(p=t.segment(o.slice(l,c)).filter(function(e){return!!e}),f=l,n=0;n<p.length;n++)r?a.push(new e.Token(p[n],{position:[f,p[n].length],index:a.length})):a.push(p[n]),f+=p[n].length;l=c+1}return a},e.ja.stemmer=function(){return function(e){return e}}(),e.Pipeline.registerFunction(e.ja.stemmer,"stemmer-ja"),e.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーｱ-ﾝﾞa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ja.trimmer=e.trimmerSupport.generateTrimmer(e.ja.wordCharacters),e.Pipeline.registerFunction(e.ja.trimmer,"trimmer-ja"),e.ja.stopWordFilter=e.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),e.Pipeline.registerFunction(e.ja.stopWordFilter,"stopWordFilter-ja"),e.jp=e.ja,e.Pipeline.registerFunction(e.jp.stemmer,"stemmer-jp"),e.Pipeline.registerFunction(e.jp.trimmer,"trimmer-jp"),e.Pipeline.registerFunction(e.jp.stopWordFilter,"stopWordFilter-jp")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.jp.min.js b/site/assets/javascripts/lunr/min/lunr.jp.min.js
deleted file mode 100644
index c055ebaf37a904fafc2815f4f8d0e810db0b0984..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.jp.min.js
+++ /dev/null
@@ -1 +0,0 @@
-module.exports=require("./lunr.ja");
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.kn.min.js b/site/assets/javascripts/lunr/min/lunr.kn.min.js
deleted file mode 100644
index 1cef9befdac27c3d5ed23bf1e40b0701c8e0f729..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.kn.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.kn=function(){this.pipeline.reset(),this.pipeline.add(e.kn.trimmer,e.kn.stopWordFilter,e.kn.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.kn.stemmer))},e.kn.wordCharacters="ಀ-಄ಅ-ಔಕ-ಹಾ-ೌ಼-ಽೕ-ೖೝ-ೞೠ-ೡೢ-ೣ೤೥೦-೯ೱ-ೳ",e.kn.trimmer=e.trimmerSupport.generateTrimmer(e.kn.wordCharacters),e.Pipeline.registerFunction(e.kn.trimmer,"trimmer-kn"),e.kn.stopWordFilter=e.generateStopWordFilter("ಮತ್ತು ಈ ಒಂದು ರಲ್ಲಿ ಹಾಗೂ ಎಂದು ಅಥವಾ ಇದು ರ ಅವರು ಎಂಬ ಮೇಲೆ ಅವರ ತನ್ನ ಆದರೆ ತಮ್ಮ ನಂತರ ಮೂಲಕ ಹೆಚ್ಚು ನ ಆ ಕೆಲವು ಅನೇಕ ಎರಡು ಹಾಗು ಪ್ರಮುಖ ಇದನ್ನು ಇದರ ಸುಮಾರು ಅದರ ಅದು ಮೊದಲ ಬಗ್ಗೆ ನಲ್ಲಿ ರಂದು ಇತರ ಅತ್ಯಂತ ಹೆಚ್ಚಿನ ಸಹ ಸಾಮಾನ್ಯವಾಗಿ ನೇ ಹಲವಾರು ಹೊಸ ದಿ ಕಡಿಮೆ ಯಾವುದೇ ಹೊಂದಿದೆ ದೊಡ್ಡ ಅನ್ನು ಇವರು ಪ್ರಕಾರ ಇದೆ ಮಾತ್ರ ಕೂಡ ಇಲ್ಲಿ ಎಲ್ಲಾ ವಿವಿಧ ಅದನ್ನು ಹಲವು ರಿಂದ ಕೇವಲ ದ ದಕ್ಷಿಣ ಗೆ ಅವನ ಅತಿ ನೆಯ ಬಹಳ ಕೆಲಸ ಎಲ್ಲ ಪ್ರತಿ ಇತ್ಯಾದಿ ಇವು ಬೇರೆ ಹೀಗೆ ನಡುವೆ ಇದಕ್ಕೆ ಎಸ್ ಇವರ ಮೊದಲು ಶ್ರೀ ಮಾಡುವ ಇದರಲ್ಲಿ ರೀತಿಯ ಮಾಡಿದ ಕಾಲ ಅಲ್ಲಿ ಮಾಡಲು ಅದೇ ಈಗ ಅವು ಗಳು ಎ ಎಂಬುದು ಅವನು ಅಂದರೆ ಅವರಿಗೆ ಇರುವ ವಿಶೇಷ ಮುಂದೆ ಅವುಗಳ ಮುಂತಾದ ಮೂಲ ಬಿ ಮೀ ಒಂದೇ ಇನ್ನೂ ಹೆಚ್ಚಾಗಿ ಮಾಡಿ ಅವರನ್ನು ಇದೇ ಯ ರೀತಿಯಲ್ಲಿ ಜೊತೆ ಅದರಲ್ಲಿ ಮಾಡಿದರು ನಡೆದ ಆಗ ಮತ್ತೆ ಪೂರ್ವ ಆತ ಬಂದ ಯಾವ ಒಟ್ಟು ಇತರೆ ಹಿಂದೆ ಪ್ರಮಾಣದ ಗಳನ್ನು ಕುರಿತು ಯು ಆದ್ದರಿಂದ ಅಲ್ಲದೆ ನಗರದ ಮೇಲಿನ ಏಕೆಂದರೆ ರಷ್ಟು ಎಂಬುದನ್ನು ಬಾರಿ ಎಂದರೆ ಹಿಂದಿನ ಆದರೂ ಆದ ಸಂಬಂಧಿಸಿದ ಮತ್ತೊಂದು ಸಿ ಆತನ ".split(" ")),e.kn.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.kn.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var n=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(n).split("|")},e.Pipeline.registerFunction(e.kn.stemmer,"stemmer-kn"),e.Pipeline.registerFunction(e.kn.stopWordFilter,"stopWordFilter-kn")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.ko.min.js b/site/assets/javascripts/lunr/min/lunr.ko.min.js
deleted file mode 100644
index eaf9dabf71030b544140a5a6e11471a0d46e42ae..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ko.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ko=function(){this.pipeline.reset(),this.pipeline.add(e.ko.trimmer,e.ko.stopWordFilter)},e.ko.wordCharacters="[A-Za-z가-힣]",e.ko.trimmer=e.trimmerSupport.generateTrimmer(e.ko.wordCharacters),e.Pipeline.registerFunction(e.ko.trimmer,"trimmer-ko"),e.ko.stopWordFilter=e.generateStopWordFilter("아 휴 아이구 아이쿠 아이고 어 나 우리 저희 따라 의해 을 를 에 의 가 으로 로 에게 뿐이다 의거하여 근거하여 입각하여 기준으로 예하면 예를 들면 예를 들자면 저 소인 소생 저희 지말고 하지마 하지마라 다른 물론 또한 그리고 비길수 없다 해서는 안된다 뿐만 아니라 만이 아니다 만은 아니다 막론하고 관계없이 그치지 않다 그러나 그런데 하지만 든간에 논하지 않다 따지지 않다 설사 비록 더라도 아니면 만 못하다 하는 편이 낫다 불문하고 향하여 향해서 향하다 쪽으로 틈타 이용하여 타다 오르다 제외하고 이 외에 이 밖에 하여야 비로소 한다면 몰라도 외에도 이곳 여기 부터 기점으로 따라서 할 생각이다 하려고하다 이리하여 그리하여 그렇게 함으로써 하지만 일때 할때 앞에서 중에서 보는데서 으로써 로써 까지 해야한다 일것이다 반드시 할줄알다 할수있다 할수있어 임에 틀림없다 한다면 등 등등 제 겨우 단지 다만 할뿐 딩동 댕그 대해서 대하여 대하면 훨씬 얼마나 얼마만큼 얼마큼 남짓 여 얼마간 약간 다소 좀 조금 다수 몇 얼마 지만 하물며 또한 그러나 그렇지만 하지만 이외에도 대해 말하자면 뿐이다 다음에 반대로 반대로 말하자면 이와 반대로 바꾸어서 말하면 바꾸어서 한다면 만약 그렇지않으면 까악 툭 딱 삐걱거리다 보드득 비걱거리다 꽈당 응당 해야한다 에 가서 각 각각 여러분 각종 각자 제각기 하도록하다 와 과 그러므로 그래서 고로 한 까닭에 하기 때문에 거니와 이지만 대하여 관하여 관한 과연 실로 아니나다를가 생각한대로 진짜로 한적이있다 하곤하였다 하 하하 허허 아하 거바 와 오 왜 어째서 무엇때문에 어찌 하겠는가 무슨 어디 어느곳 더군다나 하물며 더욱이는 어느때 언제 야 이봐 어이 여보시오 흐흐 흥 휴 헉헉 헐떡헐떡 영차 여차 어기여차 끙끙 아야 앗 아야 콸콸 졸졸 좍좍 뚝뚝 주룩주룩 솨 우르르 그래도 또 그리고 바꾸어말하면 바꾸어말하자면 혹은 혹시 답다 및 그에 따르는 때가 되어 즉 지든지 설령 가령 하더라도 할지라도 일지라도 지든지 몇 거의 하마터면 인젠 이젠 된바에야 된이상 만큼\t어찌됏든 그위에 게다가 점에서 보아 비추어 보아 고려하면 하게될것이다 일것이다 비교적 좀 보다더 비하면 시키다 하게하다 할만하다 의해서 연이서 이어서 잇따라 뒤따라 뒤이어 결국 의지하여 기대여 통하여 자마자 더욱더 불구하고 얼마든지 마음대로 주저하지 않고 곧 즉시 바로 당장 하자마자 밖에 안된다 하면된다 그래 그렇지 요컨대 다시 말하자면 바꿔 말하면 즉 구체적으로 말하자면 시작하여 시초에 이상 허 헉 허걱 바와같이 해도좋다 해도된다 게다가 더구나 하물며 와르르 팍 퍽 펄렁 동안 이래 하고있었다 이었다 에서 로부터 까지 예하면 했어요 해요 함께 같이 더불어 마저 마저도 양자 모두 습니다 가까스로 하려고하다 즈음하여 다른 다른 방면으로 해봐요 습니까 했어요 말할것도 없고 무릎쓰고 개의치않고 하는것만 못하다 하는것이 낫다 매 매번 들 모 어느것 어느 로써 갖고말하자면 어디 어느쪽 어느것 어느해 어느 년도 라 해도 언젠가 어떤것 어느것 저기 저쪽 저것 그때 그럼 그러면 요만한걸 그래 그때 저것만큼 그저 이르기까지 할 줄 안다 할 힘이 있다 너 너희 당신 어찌 설마 차라리 할지언정 할지라도 할망정 할지언정 구토하다 게우다 토하다 메쓰겁다 옆사람 퉤 쳇 의거하여 근거하여 의해 따라 힘입어 그 다음 버금 두번째로 기타 첫번째로 나머지는 그중에서 견지에서 형식으로 쓰여 입장에서 위해서 단지 의해되다 하도록시키다 뿐만아니라 반대로 전후 전자 앞의것 잠시 잠깐 하면서 그렇지만 다음에 그러한즉 그런즉 남들 아무거나 어찌하든지 같다 비슷하다 예컨대 이럴정도로 어떻게 만약 만일 위에서 서술한바와같이 인 듯하다 하지 않는다면 만약에 무엇 무슨 어느 어떤 아래윗 조차 한데 그럼에도 불구하고 여전히 심지어 까지도 조차도 하지 않도록 않기 위하여 때 시각 무렵 시간 동안 어때 어떠한 하여금 네 예 우선 누구 누가 알겠는가 아무도 줄은모른다 줄은 몰랏다 하는 김에 겸사겸사 하는바 그런 까닭에 한 이유는 그러니 그러니까 때문에 그 너희 그들 너희들 타인 것 것들 너 위하여 공동으로 동시에 하기 위하여 어찌하여 무엇때문에 붕붕 윙윙 나 우리 엉엉 휘익 윙윙 오호 아하 어쨋든 만 못하다\t하기보다는 차라리 하는 편이 낫다 흐흐 놀라다 상대적으로 말하자면 마치 아니라면 쉿 그렇지 않으면 그렇지 않다면 안 그러면 아니었다면 하든지 아니면 이라면 좋아 알았어 하는것도 그만이다 어쩔수 없다 하나 일 일반적으로 일단 한켠으로는 오자마자 이렇게되면 이와같다면 전부 한마디 한항목 근거로 하기에 아울러 하지 않도록 않기 위해서 이르기까지 이 되다 로 인하여 까닭으로 이유만으로 이로 인하여 그래서 이 때문에 그러므로 그런 까닭에 알 수 있다 결론을 낼 수 있다 으로 인하여 있다 어떤것 관계가 있다 관련이 있다 연관되다 어떤것들 에 대해 이리하여 그리하여 여부 하기보다는 하느니 하면 할수록 운운 이러이러하다 하구나 하도다 다시말하면 다음으로 에 있다 에 달려 있다 우리 우리들 오히려 하기는한데 어떻게 어떻해 어찌됏어 어때 어째서 본대로 자 이 이쪽 여기 이것 이번 이렇게말하자면 이런 이러한 이와 같은 요만큼 요만한 것 얼마 안 되는 것 이만큼 이 정도의 이렇게 많은 것 이와 같다 이때 이렇구나 것과 같이 끼익 삐걱 따위 와 같은 사람들 부류의 사람들 왜냐하면 중의하나 오직 오로지 에 한하다 하기만 하면 도착하다 까지 미치다 도달하다 정도에 이르다 할 지경이다 결과에 이르다 관해서는 여러분 하고 있다 한 후 혼자 자기 자기집 자신 우에 종합한것과같이 총적으로 보면 총적으로 말하면 총적으로 대로 하다 으로서 참 그만이다 할 따름이다 쿵 탕탕 쾅쾅 둥둥 봐 봐라 아이야 아니 와아 응 아이 참나 년 월 일 령 영 일 이 삼 사 오 육 륙 칠 팔 구 이천육 이천칠 이천팔 이천구 하나 둘 셋 넷 다섯 여섯 일곱 여덟 아홉 령 영".split(" ")),e.Pipeline.registerFunction(e.ko.stopWordFilter,"stopWordFilter-ko"),e.ko.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.ko.stemmer,"stemmer-ko")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.multi.min.js b/site/assets/javascripts/lunr/min/lunr.multi.min.js
deleted file mode 100644
index 7debad0961d78f02d916fdb7de8ab4194db917b2..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.multi.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){e.multiLanguage=function(){for(var t=Array.prototype.slice.call(arguments),i=t.join("-"),r="",n=[],s=[],p=0;p<t.length;++p)"en"==t[p]?(r+="\\w",n.unshift(e.stopWordFilter),n.push(e.stemmer),s.push(e.stemmer)):(r+=e[t[p]].wordCharacters,e[t[p]].stopWordFilter&&n.unshift(e[t[p]].stopWordFilter),e[t[p]].stemmer&&(n.push(e[t[p]].stemmer),s.push(e[t[p]].stemmer)));var o=e.trimmerSupport.generateTrimmer(r);return e.Pipeline.registerFunction(o,"lunr-multi-trimmer-"+i),n.unshift(o),function(){this.pipeline.reset(),this.pipeline.add.apply(this.pipeline,n),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add.apply(this.searchPipeline,s))}}}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.nl.min.js b/site/assets/javascripts/lunr/min/lunr.nl.min.js
deleted file mode 100644
index c4a253594802c1066c646bfd2393f3c36a875deb..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.nl.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Dutch` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(r,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():e()(r.lunr)}(this,function(){return function(r){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");r.nl=function(){this.pipeline.reset(),this.pipeline.add(r.nl.trimmer,r.nl.stopWordFilter,r.nl.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(r.nl.stemmer))},r.nl.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",r.nl.trimmer=r.trimmerSupport.generateTrimmer(r.nl.wordCharacters),r.Pipeline.registerFunction(r.nl.trimmer,"trimmer-nl"),r.nl.stemmer=function(){var e=r.stemmerSupport.Among,i=r.stemmerSupport.SnowballProgram,n=new function(){function r(){for(var r,e,i,o=C.cursor;;){if(C.bra=C.cursor,r=C.find_among(b,11))switch(C.ket=C.cursor,r){case 1:C.slice_from("a");continue;case 2:C.slice_from("e");continue;case 3:C.slice_from("i");continue;case 4:C.slice_from("o");continue;case 5:C.slice_from("u");continue;case 6:if(C.cursor>=C.limit)break;C.cursor++;continue}break}for(C.cursor=o,C.bra=o,C.eq_s(1,"y")?(C.ket=C.cursor,C.slice_from("Y")):C.cursor=o;;)if(e=C.cursor,C.in_grouping(q,97,232)){if(i=C.cursor,C.bra=i,C.eq_s(1,"i"))C.ket=C.cursor,C.in_grouping(q,97,232)&&(C.slice_from("I"),C.cursor=e);else if(C.cursor=i,C.eq_s(1,"y"))C.ket=C.cursor,C.slice_from("Y"),C.cursor=e;else if(n(e))break}else if(n(e))break}function n(r){return C.cursor=r,r>=C.limit||(C.cursor++,!1)}function o(){_=C.limit,d=_,t()||(_=C.cursor,_<3&&(_=3),t()||(d=C.cursor))}function t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var r;;)if(C.bra=C.cursor,r=C.find_among(p,3))switch(C.ket=C.cursor,r){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return d<=C.cursor}function a(){var r=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-r,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var r;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.slice_del(),w=!0,a())))}function m(){var r;u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.eq_s_b(3,"gem")||(C.cursor=C.limit-r,C.slice_del(),a())))}function f(){var r,e,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,r=C.find_among_b(h,5))switch(C.bra=C.cursor,r){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(j,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(e=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-e,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,r=C.find_among_b(k,6))switch(C.bra=C.cursor,r){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(z,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var d,_,w,b=[new e("",-1,6),new e("á",0,1),new e("ä",0,1),new e("é",0,2),new e("ë",0,2),new e("í",0,3),new e("ï",0,3),new e("ó",0,4),new e("ö",0,4),new e("ú",0,5),new e("ü",0,5)],p=[new e("",-1,3),new e("I",0,2),new e("Y",0,1)],g=[new e("dd",-1,-1),new e("kk",-1,-1),new e("tt",-1,-1)],h=[new e("ene",-1,2),new e("se",-1,3),new e("en",-1,2),new e("heden",2,1),new e("s",-1,3)],k=[new e("end",-1,1),new e("ig",-1,2),new e("ing",-1,1),new e("lijk",-1,3),new e("baar",-1,4),new e("bar",-1,5)],v=[new e("aa",-1,-1),new e("ee",-1,-1),new e("oo",-1,-1),new e("uu",-1,-1)],q=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],z=[1,0,0,17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],j=[17,67,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],C=new i;this.setCurrent=function(r){C.setCurrent(r)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var e=C.cursor;return r(),C.cursor=e,o(),C.limit_backward=e,C.cursor=C.limit,f(),C.cursor=C.limit_backward,s(),!0}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.nl.stemmer,"stemmer-nl"),r.nl.stopWordFilter=r.generateStopWordFilter(" aan al alles als altijd andere ben bij daar dan dat de der deze die dit doch doen door dus een eens en er ge geen geweest haar had heb hebben heeft hem het hier hij hoe hun iemand iets ik in is ja je kan kon kunnen maar me meer men met mij mijn moet na naar niet niets nog nu of om omdat onder ons ook op over reeds te tegen toch toen tot u uit uw van veel voor want waren was wat werd wezen wie wil worden wordt zal ze zelf zich zij zijn zo zonder zou".split(" ")),r.Pipeline.registerFunction(r.nl.stopWordFilter,"stopWordFilter-nl")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.no.min.js b/site/assets/javascripts/lunr/min/lunr.no.min.js
deleted file mode 100644
index 92bc7e4e89446adda1cbf816e949896f37b713fb..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.no.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Norwegian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
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\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.pt.min.js b/site/assets/javascripts/lunr/min/lunr.pt.min.js
deleted file mode 100644
index 6c16996d65099c5de1f0ce3fd8bc9c92c5f2bcbb..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.pt.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Portuguese` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
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diff --git a/site/assets/javascripts/lunr/min/lunr.ro.min.js b/site/assets/javascripts/lunr/min/lunr.ro.min.js
deleted file mode 100644
index 727714018182a6cb94ba2bc2a4b2befb7a5770a8..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ro.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Romanian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
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dă ea ei el ele eram este eu eşti face fata fi fie fiecare fii fim fiu fiţi frumos fără graţie halbă iar ieri la le li lor lui lângă lîngă mai mea mei mele mereu meu mi mie mine mult multă mulţi mulţumesc mâine mîine mă ne nevoie nici nicăieri nimeni nimeri nimic nişte noastre noastră noi noroc nostru nouă noştri nu opt ori oricare orice oricine oricum oricând oricât oricînd oricît oriunde patra patru patrulea pe pentru peste pic poate pot prea prima primul prin puţin puţina puţină până pînă rog sa sale sau se spate spre sub sunt suntem sunteţi sută sînt sîntem sînteţi să săi său ta tale te timp tine toate toată tot totuşi toţi trei treia treilea tu tăi tău un una unde undeva unei uneia unele uneori unii unor unora unu unui unuia unul vi voastre voastră voi vostru vouă voştri vreme vreo vreun vă zece zero zi zice îi îl îmi împotriva în  înainte înaintea încotro încât încît între întrucât întrucît îţi ăla ălea ăsta ăstea ăştia şapte şase şi ştiu ţi ţie".split(" 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\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.ru.min.js b/site/assets/javascripts/lunr/min/lunr.ru.min.js
deleted file mode 100644
index 186cc485c23848c65769fdef7373d00b30448cbf..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ru.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Russian` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
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n("ыло",24,2),new n("но",-1,1),new n("ено",27,2),new n("нно",27,1),new n("ет",-1,1),new n("ует",30,2),new n("ит",-1,2),new n("ыт",-1,2),new n("ют",-1,1),new n("уют",34,2),new n("ят",-1,2),new n("ны",-1,1),new n("ены",37,2),new n("ть",-1,1),new n("ить",39,2),new n("ыть",39,2),new n("ешь",-1,1),new n("ишь",-1,2),new n("ю",-1,2),new n("ую",44,2)],v=[new n("а",-1,1),new n("ев",-1,1),new n("ов",-1,1),new n("е",-1,1),new n("ие",3,1),new n("ье",3,1),new n("и",-1,1),new n("еи",6,1),new n("ии",6,1),new n("ами",6,1),new n("ями",6,1),new n("иями",10,1),new n("й",-1,1),new n("ей",12,1),new n("ией",13,1),new n("ий",12,1),new n("ой",12,1),new n("ам",-1,1),new n("ем",-1,1),new n("ием",18,1),new n("ом",-1,1),new n("ям",-1,1),new n("иям",21,1),new n("о",-1,1),new n("у",-1,1),new n("ах",-1,1),new n("ях",-1,1),new n("иях",26,1),new n("ы",-1,1),new n("ь",-1,1),new n("ю",-1,1),new n("ию",30,1),new n("ью",30,1),new n("я",-1,1),new n("ия",33,1),new n("ья",33,1)],F=[new n("ост",-1,1),new n("ость",-1,1)],q=[new n("ейше",-1,1),new n("н",-1,2),new n("ейш",-1,1),new n("ь",-1,3)],S=[33,65,8,232],W=new r;this.setCurrent=function(e){W.setCurrent(e)},this.getCurrent=function(){return W.getCurrent()},this.stem=function(){return w(),W.cursor=W.limit,!(W.cursor<b)&&(W.limit_backward=b,o()||(W.cursor=W.limit,f()||(W.cursor=W.limit),m()||(W.cursor=W.limit,l()||(W.cursor=W.limit,a()))),W.cursor=W.limit,W.ket=W.cursor,W.eq_s_b(1,"и")?(W.bra=W.cursor,W.slice_del()):W.cursor=W.limit,p(),W.cursor=W.limit,d(),!0)}};return function(e){return"function"==typeof e.update?e.update(function(e){return t.setCurrent(e),t.stem(),t.getCurrent()}):(t.setCurrent(e),t.stem(),t.getCurrent())}}(),e.Pipeline.registerFunction(e.ru.stemmer,"stemmer-ru"),e.ru.stopWordFilter=e.generateStopWordFilter("алло без близко более больше будем будет будете будешь будто буду будут будь бы бывает бывь был была были было быть в важная важное важные важный вам вами вас ваш ваша ваше ваши вверх вдали вдруг ведь везде весь вниз внизу во вокруг вон восемнадцатый восемнадцать восемь восьмой вот впрочем времени время все всегда всего всем всеми всему всех всею всю всюду вся всё второй вы г где говорил говорит год года году да давно даже далеко дальше даром два двадцатый двадцать две двенадцатый двенадцать двух девятнадцатый девятнадцать девятый девять действительно дел день десятый десять для до довольно долго должно другая другие других друго другое другой е его ее ей ему если есть еще ещё ею её ж же жизнь за занят занята занято заняты затем зато зачем здесь значит и из или им именно иметь ими имя иногда их к каждая каждое каждые каждый кажется как какая какой кем когда кого ком кому конечно которая которого которой которые который которых кроме кругом кто куда лет ли лишь лучше люди м мало между меля менее меньше меня миллионов мимо мира мне много многочисленная многочисленное многочисленные многочисленный мной мною мог могут мож может можно можхо мои мой мор мочь моя моё мы на наверху над надо назад наиболее наконец нам нами нас начала наш наша наше наши не него недавно недалеко нее ней нельзя нем немного нему непрерывно нередко несколько нет нею неё ни нибудь ниже низко никогда никуда ними них ничего но ну нужно нх о об оба обычно один одиннадцатый одиннадцать однажды однако одного одной около он она они оно опять особенно от отовсюду отсюда очень первый перед по под пожалуйста позже пока пор пора после посреди потом потому почему почти прекрасно при про просто против процентов пятнадцатый пятнадцать пятый пять раз разве рано раньше рядом с сам сама сами самим самими самих само самого самой самом самому саму свое своего своей свои своих свою сеаой себе себя сегодня седьмой сейчас семнадцатый семнадцать семь сих сказал сказала сказать сколько слишком сначала снова со собой собою совсем спасибо стал суть т та так такая также такие такое такой там твой твоя твоё те тебе тебя тем теми теперь тех то тобой тобою тогда того тоже только том тому тот тою третий три тринадцатый тринадцать ту туда тут ты тысяч у уж уже уметь хорошо хотеть хоть хотя хочешь часто чаще чего человек чем чему через четвертый четыре четырнадцатый четырнадцать что чтоб чтобы чуть шестнадцатый шестнадцать шестой шесть эта эти этим этими этих это этого этой этом этому этот эту я \ufeffа".split(" ")),e.Pipeline.registerFunction(e.ru.stopWordFilter,"stopWordFilter-ru")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.sa.min.js b/site/assets/javascripts/lunr/min/lunr.sa.min.js
deleted file mode 100644
index 50ee564205da301761c61a36820f187bf343ad71..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.sa.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sa=function(){this.pipeline.reset(),this.pipeline.add(e.sa.trimmer,e.sa.stopWordFilter,e.sa.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sa.stemmer))},e.sa.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿ꣠-꣱ꣲ-ꣷ꣸-ꣻ꣼-ꣽꣾ-ꣿᆰ0-ᆰ9",e.sa.trimmer=e.trimmerSupport.generateTrimmer(e.sa.wordCharacters),e.Pipeline.registerFunction(e.sa.trimmer,"trimmer-sa"),e.sa.stopWordFilter=e.generateStopWordFilter('तथा अयम्‌ एकम्‌ इत्यस्मिन्‌ तथा तत्‌ वा अयम्‌ इत्यस्य ते आहूत उपरि तेषाम्‌  किन्तु तेषाम्‌ तदा इत्यनेन अधिकः इत्यस्य तत्‌ केचन बहवः द्वि तथा महत्वपूर्णः अयम्‌ अस्य  विषये अयं अस्ति तत्‌ प्रथमः विषये इत्युपरि इत्युपरि इतर अधिकतमः अधिकः अपि सामान्यतया ठ इतरेतर नूतनम्‌ द  न्यूनम्‌ कश्चित्‌ वा विशालः द  सः अस्ति तदनुसारम् तत्र अस्ति केवलम्‌ अपि अत्र सर्वे विविधाः तत्‌ बहवः यतः इदानीम्‌ द  दक्षिण इत्यस्मै तस्य उपरि नथ अतीव कार्यम्‌ सर्वे एकैकम्‌ इत्यादि। एते सन्ति  उत इत्थम्‌ मध्ये एतदर्थं . स कस्य प्रथमः श्री. करोति अस्मिन् प्रकारः निर्मिता कालः तत्र कर्तुं  समान अधुना ते सन्ति स एकः अस्ति सः अर्थात् तेषां कृते . स्थितम्  विशेषः अग्रिम तेषाम्‌ समान स्रोतः ख म समान इदानीमपि अधिकतया करोतु ते समान इत्यस्य वीथी सह यस्मिन्  कृतवान्‌ धृतः तदा पुनः पूर्वं सः आगतः किम्‌ कुल इतर पुरा  मात्रा स विषये उ अतएव अपि नगरस्य  उपरि यतः प्रतिशतं  कतरः कालः साधनानि भूत तथापि जात सम्बन्धि अन्यत्‌ ग अतः अस्माकं स्वकीयाः अस्माकं इदानीं अन्तः इत्यादयः भवन्तः इत्यादयः एते एताः तस्य अस्य इदम् एते तेषां तेषां तेषां तान् तेषां तेषां तेषां समानः सः एकः च तादृशाः बहवः अन्ये च वदन्ति यत् कियत् कस्मै  कस्मै  यस्मै  यस्मै  यस्मै  यस्मै न अतिनीचः किन्तु प्रथमं सम्पूर्णतया  ततः चिरकालानन्तरं पुस्तकं सम्पूर्णतया अन्तः  किन्तु अत्र वा इह इव श्रद्धाय अवशिष्यते  परन्तु अन्ये वर्गाः सन्ति ते सन्ति शक्नुवन्ति सर्वे मिलित्वा सर्वे एकत्र"'.split(" ")),e.sa.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.sa.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var i=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(i).split("|")},e.Pipeline.registerFunction(e.sa.stemmer,"stemmer-sa"),e.Pipeline.registerFunction(e.sa.stopWordFilter,"stopWordFilter-sa")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.stemmer.support.min.js b/site/assets/javascripts/lunr/min/lunr.stemmer.support.min.js
deleted file mode 100644
index abd4475bb103339959c3319e5390b29164d526a3..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.stemmer.support.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(r,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(r.lunr)}(this,function(){return function(r){r.stemmerSupport={Among:function(r,t,i,s){if(this.toCharArray=function(r){for(var t=r.length,i=new Array(t),s=0;s<t;s++)i[s]=r.charCodeAt(s);return i},!r&&""!=r||!t&&0!=t||!i)throw"Bad Among initialisation: s:"+r+", substring_i: "+t+", result: "+i;this.s_size=r.length,this.s=this.toCharArray(r),this.substring_i=t,this.result=i,this.method=s},SnowballProgram:function(){var r;return{bra:0,ket:0,limit:0,cursor:0,limit_backward:0,setCurrent:function(t){r=t,this.cursor=0,this.limit=t.length,this.limit_backward=0,this.bra=this.cursor,this.ket=this.limit},getCurrent:function(){var t=r;return r=null,t},in_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},in_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},out_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e>s||e<i)return this.cursor++,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},out_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e>s||e<i)return this.cursor--,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},eq_s:function(t,i){if(this.limit-this.cursor<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor+s)!=i.charCodeAt(s))return!1;return this.cursor+=t,!0},eq_s_b:function(t,i){if(this.cursor-this.limit_backward<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor-t+s)!=i.charCodeAt(s))return!1;return this.cursor-=t,!0},find_among:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=l;m<_.s_size;m++){if(n+l==u){f=-1;break}if(f=r.charCodeAt(n+l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n+_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n+_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},find_among_b:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit_backward,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=_.s_size-1-l;m>=0;m--){if(n-l==u){f=-1;break}if(f=r.charCodeAt(n-1-l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n-_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n-_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},replace_s:function(t,i,s){var e=s.length-(i-t),n=r.substring(0,t),u=r.substring(i);return r=n+s+u,this.limit+=e,this.cursor>=i?this.cursor+=e:this.cursor>t&&(this.cursor=t),e},slice_check:function(){if(this.bra<0||this.bra>this.ket||this.ket>this.limit||this.limit>r.length)throw"faulty slice operation"},slice_from:function(r){this.slice_check(),this.replace_s(this.bra,this.ket,r)},slice_del:function(){this.slice_from("")},insert:function(r,t,i){var s=this.replace_s(r,t,i);r<=this.bra&&(this.bra+=s),r<=this.ket&&(this.ket+=s)},slice_to:function(){return this.slice_check(),r.substring(this.bra,this.ket)},eq_v_b:function(r){return this.eq_s_b(r.length,r)}}}},r.trimmerSupport={generateTrimmer:function(r){var t=new RegExp("^[^"+r+"]+"),i=new RegExp("[^"+r+"]+$");return function(r){return"function"==typeof r.update?r.update(function(r){return r.replace(t,"").replace(i,"")}):r.replace(t,"").replace(i,"")}}}}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.sv.min.js b/site/assets/javascripts/lunr/min/lunr.sv.min.js
deleted file mode 100644
index 3e5eb6400026110fb17e1a6b932276363275997d..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.sv.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Swedish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sv=function(){this.pipeline.reset(),this.pipeline.add(e.sv.trimmer,e.sv.stopWordFilter,e.sv.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sv.stemmer))},e.sv.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.sv.trimmer=e.trimmerSupport.generateTrimmer(e.sv.wordCharacters),e.Pipeline.registerFunction(e.sv.trimmer,"trimmer-sv"),e.sv.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,t=new function(){function e(){var e,r=w.cursor+3;if(o=w.limit,0<=r||r<=w.limit){for(a=r;;){if(e=w.cursor,w.in_grouping(l,97,246)){w.cursor=e;break}if(w.cursor=e,w.cursor>=w.limit)return;w.cursor++}for(;!w.out_grouping(l,97,246);){if(w.cursor>=w.limit)return;w.cursor++}o=w.cursor,o<a&&(o=a)}}function t(){var e,r=w.limit_backward;if(w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(u,37),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.in_grouping_b(d,98,121)&&w.slice_del()}}function i(){var e=w.limit_backward;w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.find_among_b(c,7)&&(w.cursor=w.limit,w.ket=w.cursor,w.cursor>w.limit_backward&&(w.bra=--w.cursor,w.slice_del())),w.limit_backward=e)}function s(){var e,r;if(w.cursor>=o){if(r=w.limit_backward,w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(m,5))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.slice_from("lös");break;case 3:w.slice_from("full")}w.limit_backward=r}}var a,o,u=[new r("a",-1,1),new r("arna",0,1),new r("erna",0,1),new r("heterna",2,1),new r("orna",0,1),new r("ad",-1,1),new r("e",-1,1),new r("ade",6,1),new r("ande",6,1),new r("arne",6,1),new r("are",6,1),new r("aste",6,1),new r("en",-1,1),new r("anden",12,1),new r("aren",12,1),new r("heten",12,1),new r("ern",-1,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",18,1),new r("or",-1,1),new r("s",-1,2),new r("as",21,1),new r("arnas",22,1),new r("ernas",22,1),new r("ornas",22,1),new r("es",21,1),new r("ades",26,1),new r("andes",26,1),new r("ens",21,1),new r("arens",29,1),new r("hetens",29,1),new r("erns",21,1),new r("at",-1,1),new r("andet",-1,1),new r("het",-1,1),new r("ast",-1,1)],c=[new r("dd",-1,-1),new r("gd",-1,-1),new r("nn",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1),new r("tt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("els",-1,1),new r("fullt",-1,3),new r("löst",-1,2)],l=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,24,0,32],d=[119,127,149],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,t(),w.cursor=w.limit,i(),w.cursor=w.limit,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return t.setCurrent(e),t.stem(),t.getCurrent()}):(t.setCurrent(e),t.stem(),t.getCurrent())}}(),e.Pipeline.registerFunction(e.sv.stemmer,"stemmer-sv"),e.sv.stopWordFilter=e.generateStopWordFilter("alla allt att av blev bli blir blivit de dem den denna deras dess dessa det detta dig din dina ditt du där då efter ej eller en er era ert ett från för ha hade han hans har henne hennes hon honom hur här i icke ingen inom inte jag ju kan kunde man med mellan men mig min mina mitt mot mycket ni nu när någon något några och om oss på samma sedan sig sin sina sitta själv skulle som så sådan sådana sådant till under upp ut utan vad var vara varför varit varje vars vart vem vi vid vilka vilkas vilken vilket vår våra vårt än är åt över".split(" ")),e.Pipeline.registerFunction(e.sv.stopWordFilter,"stopWordFilter-sv")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.ta.min.js b/site/assets/javascripts/lunr/min/lunr.ta.min.js
deleted file mode 100644
index a644bed2280922ebbd20c736e20efb436c8a144b..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.ta.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ta=function(){this.pipeline.reset(),this.pipeline.add(e.ta.trimmer,e.ta.stopWordFilter,e.ta.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ta.stemmer))},e.ta.wordCharacters="஀-உஊ-ஏஐ-ஙச-ட஠-னப-யர-ஹ஺-ிீ-௉ொ-௏ௐ-௙௚-௟௠-௩௪-௯௰-௹௺-௿a-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ta.trimmer=e.trimmerSupport.generateTrimmer(e.ta.wordCharacters),e.Pipeline.registerFunction(e.ta.trimmer,"trimmer-ta"),e.ta.stopWordFilter=e.generateStopWordFilter("அங்கு அங்கே அது அதை அந்த அவர் அவர்கள் அவள் அவன் அவை ஆக ஆகவே ஆகையால் ஆதலால் ஆதலினால் ஆனாலும் ஆனால் இங்கு இங்கே இது இதை இந்த இப்படி இவர் இவர்கள் இவள் இவன் இவை இவ்வளவு உனக்கு உனது உன் உன்னால் எங்கு எங்கே எது எதை எந்த எப்படி எவர் எவர்கள் எவள் எவன் எவை எவ்வளவு எனக்கு எனது எனவே என் என்ன என்னால் ஏது ஏன் தனது தன்னால் தானே தான் நாங்கள் நாம் நான் நீ நீங்கள்".split(" ")),e.ta.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.ta.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.ta.stemmer,"stemmer-ta"),e.Pipeline.registerFunction(e.ta.stopWordFilter,"stopWordFilter-ta")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.te.min.js b/site/assets/javascripts/lunr/min/lunr.te.min.js
deleted file mode 100644
index 9fa7a93b9913aea766276903781c899cf485afe9..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.te.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.te=function(){this.pipeline.reset(),this.pipeline.add(e.te.trimmer,e.te.stopWordFilter,e.te.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.te.stemmer))},e.te.wordCharacters="ఀ-ఄఅ-ఔక-హా-ౌౕ-ౖౘ-ౚౠ-ౡౢ-ౣ౦-౯౸-౿఼ఽ్ౝ౷౤౥",e.te.trimmer=e.trimmerSupport.generateTrimmer(e.te.wordCharacters),e.Pipeline.registerFunction(e.te.trimmer,"trimmer-te"),e.te.stopWordFilter=e.generateStopWordFilter("అందరూ అందుబాటులో అడగండి అడగడం అడ్డంగా అనుగుణంగా అనుమతించు అనుమతిస్తుంది అయితే ఇప్పటికే ఉన్నారు ఎక్కడైనా ఎప్పుడు ఎవరైనా ఎవరో ఏ ఏదైనా ఏమైనప్పటికి ఒక ఒకరు కనిపిస్తాయి కాదు కూడా గా గురించి చుట్టూ చేయగలిగింది తగిన తర్వాత దాదాపు దూరంగా నిజంగా పై ప్రకారం ప్రక్కన మధ్య మరియు మరొక మళ్ళీ మాత్రమే మెచ్చుకో వద్ద వెంట వేరుగా వ్యతిరేకంగా సంబంధం".split(" ")),e.te.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.te.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.te.stemmer,"stemmer-te"),e.Pipeline.registerFunction(e.te.stopWordFilter,"stopWordFilter-te")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.th.min.js b/site/assets/javascripts/lunr/min/lunr.th.min.js
deleted file mode 100644
index dee3aac6e5cb6e65fb411e6e64f31d1289d6798c..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.th.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.th=function(){this.pipeline.reset(),this.pipeline.add(e.th.trimmer),r?this.tokenizer=e.th.tokenizer:(e.tokenizer&&(e.tokenizer=e.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.th.tokenizer))},e.th.wordCharacters="[฀-๿]",e.th.trimmer=e.trimmerSupport.generateTrimmer(e.th.wordCharacters),e.Pipeline.registerFunction(e.th.trimmer,"trimmer-th");var t=e.wordcut;t.init(),e.th.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t):t});var n=i.toString().replace(/^\s+/,"");return t.cut(n).split("|")}}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.tr.min.js b/site/assets/javascripts/lunr/min/lunr.tr.min.js
deleted file mode 100644
index 563f6ec1f5259556445d6d725394d4651ab1925f..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.tr.min.js
+++ /dev/null
@@ -1,18 +0,0 @@
-/*!
- * Lunr languages, `Turkish` language
- * https://github.com/MihaiValentin/lunr-languages
- *
- * Copyright 2014, Mihai Valentin
- * http://www.mozilla.org/MPL/
- */
-/*!
- * based on
- * Snowball JavaScript Library v0.3
- * http://code.google.com/p/urim/
- * http://snowball.tartarus.org/
- *
- * Copyright 2010, Oleg Mazko
- * http://www.mozilla.org/MPL/
- */
-
-!function(r,i){"function"==typeof define&&define.amd?define(i):"object"==typeof exports?module.exports=i():i()(r.lunr)}(this,function(){return function(r){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");r.tr=function(){this.pipeline.reset(),this.pipeline.add(r.tr.trimmer,r.tr.stopWordFilter,r.tr.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(r.tr.stemmer))},r.tr.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",r.tr.trimmer=r.trimmerSupport.generateTrimmer(r.tr.wordCharacters),r.Pipeline.registerFunction(r.tr.trimmer,"trimmer-tr"),r.tr.stemmer=function(){var i=r.stemmerSupport.Among,e=r.stemmerSupport.SnowballProgram,n=new function(){function r(r,i,e){for(;;){var n=Dr.limit-Dr.cursor;if(Dr.in_grouping_b(r,i,e)){Dr.cursor=Dr.limit-n;break}if(Dr.cursor=Dr.limit-n,Dr.cursor<=Dr.limit_backward)return!1;Dr.cursor--}return!0}function n(){var i,e;i=Dr.limit-Dr.cursor,r(Wr,97,305);for(var n=0;n<Br.length;n++){e=Dr.limit-Dr.cursor;var t=Br[n];if(Dr.eq_s_b(1,t[0])&&r(t[1],t[2],t[3]))return Dr.cursor=Dr.limit-i,!0;Dr.cursor=Dr.limit-e}return 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Dr.find_among_b(Pr,8)&&c()}function T(){return n()&&Dr.find_among_b(Fr,4)&&c()}function Z(){return Dr.eq_s_b(3,"ken")&&c()}function B(){var r=Dr.limit-Dr.cursor;return!(T()||(Dr.cursor=Dr.limit-r,E()||(Dr.cursor=Dr.limit-r,j()||(Dr.cursor=Dr.limit-r,Z()))))}function D(){if(A()){var r=Dr.limit-Dr.cursor;if(S()||(Dr.cursor=Dr.limit-r,W()||(Dr.cursor=Dr.limit-r,C()||(Dr.cursor=Dr.limit-r,P()||(Dr.cursor=Dr.limit-r,F()||(Dr.cursor=Dr.limit-r))))),T())return!1}return!0}function G(){if(W()){Dr.bra=Dr.cursor,Dr.slice_del();var r=Dr.limit-Dr.cursor;return Dr.ket=Dr.cursor,x()||(Dr.cursor=Dr.limit-r,E()||(Dr.cursor=Dr.limit-r,j()||(Dr.cursor=Dr.limit-r,T()||(Dr.cursor=Dr.limit-r)))),nr=!1,!1}return!0}function H(){if(!L())return!0;var r=Dr.limit-Dr.cursor;return!E()&&(Dr.cursor=Dr.limit-r,!j())}function I(){var 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Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()?(Dr.bra=Dr.cursor,Dr.slice_del(),K()):(Dr.cursor=Dr.limit-i,a()&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()))),!0;if(Dr.cursor=Dr.limit-r,w()){if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,e=Dr.limit-Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-e,!m()&&(Dr.cursor=Dr.limit-e,!K())))return!0;Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}return!0}if(Dr.cursor=Dr.limit-r,g()){if(n=Dr.limit-Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else if(Dr.cursor=Dr.limit-n,m())Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K());else if(Dr.cursor=Dr.limit-n,!K())return!1;return!0}}return!1}function M(r){if(Dr.ket=Dr.cursor,!g()&&(Dr.cursor=Dr.limit-r,!k()))return!1;var i=Dr.limit-Dr.cursor;if(d())Dr.bra=Dr.cursor,Dr.slice_del();else if(Dr.cursor=Dr.limit-i,m())Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K());else if(Dr.cursor=Dr.limit-i,!K())return!1;return!0}function N(r){if(Dr.ket=Dr.cursor,!z()&&(Dr.cursor=Dr.limit-r,!b()))return!1;var i=Dr.limit-Dr.cursor;return!(!m()&&(Dr.cursor=Dr.limit-i,!d()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)}function O(){var r,i=Dr.limit-Dr.cursor;return Dr.ket=Dr.cursor,!(!w()&&(Dr.cursor=Dr.limit-i,!v()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,!(!W()||(Dr.bra=Dr.cursor,Dr.slice_del(),!K()))||(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!(a()||(Dr.cursor=Dr.limit-r,m()||(Dr.cursor=Dr.limit-r,K())))||(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)))}function Q(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,!p()&&(Dr.cursor=Dr.limit-e,!f()&&(Dr.cursor=Dr.limit-e,!_())))return!1;if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,r=Dr.limit-Dr.cursor,a())Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()||(Dr.cursor=Dr.limit-i);else if(Dr.cursor=Dr.limit-r,!W())return!0;return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,K(),!0}function R(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,W())return Dr.bra=Dr.cursor,Dr.slice_del(),void K();if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,q())if(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-r,!m())){if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!W())return;if(Dr.bra=Dr.cursor,Dr.slice_del(),!K())return}Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}else if(Dr.cursor=Dr.limit-e,!M(e)&&(Dr.cursor=Dr.limit-e,!N(e))){if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,y())return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,i=Dr.limit-Dr.cursor,void(a()?(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())):(Dr.cursor=Dr.limit-i,W()?(Dr.bra=Dr.cursor,Dr.slice_del(),K()):(Dr.cursor=Dr.limit-i,K())));if(Dr.cursor=Dr.limit-e,!O()){if(Dr.cursor=Dr.limit-e,d())return Dr.bra=Dr.cursor,void Dr.slice_del();Dr.cursor=Dr.limit-e,K()||(Dr.cursor=Dr.limit-e,Q()||(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,(a()||(Dr.cursor=Dr.limit-e,m()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()))))}}}function U(){var r;if(Dr.ket=Dr.cursor,r=Dr.find_among_b(Sr,4))switch(Dr.bra=Dr.cursor,r){case 1:Dr.slice_from("p");break;case 2:Dr.slice_from("ç");break;case 3:Dr.slice_from("t");break;case 4:Dr.slice_from("k")}}function V(){for(;;){var r=Dr.limit-Dr.cursor;if(Dr.in_grouping_b(Wr,97,305)){Dr.cursor=Dr.limit-r;break}if(Dr.cursor=Dr.limit-r,Dr.cursor<=Dr.limit_backward)return!1;Dr.cursor--}return!0}function X(r,i,e){if(Dr.cursor=Dr.limit-r,V()){var n=Dr.limit-Dr.cursor;if(!Dr.eq_s_b(1,i)&&(Dr.cursor=Dr.limit-n,!Dr.eq_s_b(1,e)))return!0;Dr.cursor=Dr.limit-r;var t=Dr.cursor;return Dr.insert(Dr.cursor,Dr.cursor,e),Dr.cursor=t,!1}return!0}function Y(){var r=Dr.limit-Dr.cursor;(Dr.eq_s_b(1,"d")||(Dr.cursor=Dr.limit-r,Dr.eq_s_b(1,"g")))&&X(r,"a","ı")&&X(r,"e","i")&&X(r,"o","u")&&X(r,"ö","ü")}function $(){for(var r,i=Dr.cursor,e=2;;){for(r=Dr.cursor;!Dr.in_grouping(Wr,97,305);){if(Dr.cursor>=Dr.limit)return Dr.cursor=r,!(e>0)&&(Dr.cursor=i,!0);Dr.cursor++}e--}}function rr(r,i,e){for(;!Dr.eq_s(i,e);){if(Dr.cursor>=Dr.limit)return!0;Dr.cursor++}return(tr=i)!=Dr.limit||(Dr.cursor=r,!1)}function ir(){var r=Dr.cursor;return!rr(r,2,"ad")||(Dr.cursor=r,!rr(r,5,"soyad"))}function er(){var r=Dr.cursor;return!ir()&&(Dr.limit_backward=r,Dr.cursor=Dr.limit,Y(),Dr.cursor=Dr.limit,U(),!0)}var nr,tr,ur=[new i("m",-1,-1),new i("n",-1,-1),new i("miz",-1,-1),new i("niz",-1,-1),new i("muz",-1,-1),new i("nuz",-1,-1),new i("müz",-1,-1),new i("nüz",-1,-1),new i("mız",-1,-1),new i("nız",-1,-1)],or=[new i("leri",-1,-1),new i("ları",-1,-1)],sr=[new i("ni",-1,-1),new i("nu",-1,-1),new i("nü",-1,-1),new i("nı",-1,-1)],cr=[new i("in",-1,-1),new i("un",-1,-1),new i("ün",-1,-1),new i("ın",-1,-1)],lr=[new i("a",-1,-1),new i("e",-1,-1)],ar=[new i("na",-1,-1),new i("ne",-1,-1)],mr=[new i("da",-1,-1),new i("ta",-1,-1),new i("de",-1,-1),new i("te",-1,-1)],dr=[new i("nda",-1,-1),new i("nde",-1,-1)],fr=[new i("dan",-1,-1),new i("tan",-1,-1),new i("den",-1,-1),new i("ten",-1,-1)],br=[new i("ndan",-1,-1),new i("nden",-1,-1)],wr=[new i("la",-1,-1),new i("le",-1,-1)],_r=[new i("ca",-1,-1),new i("ce",-1,-1)],kr=[new i("im",-1,-1),new i("um",-1,-1),new i("üm",-1,-1),new i("ım",-1,-1)],pr=[new i("sin",-1,-1),new i("sun",-1,-1),new i("sün",-1,-1),new i("sın",-1,-1)],gr=[new i("iz",-1,-1),new i("uz",-1,-1),new i("üz",-1,-1),new i("ız",-1,-1)],yr=[new i("siniz",-1,-1),new i("sunuz",-1,-1),new i("sünüz",-1,-1),new i("sınız",-1,-1)],zr=[new i("lar",-1,-1),new i("ler",-1,-1)],vr=[new i("niz",-1,-1),new i("nuz",-1,-1),new i("nüz",-1,-1),new i("nız",-1,-1)],hr=[new i("dir",-1,-1),new i("tir",-1,-1),new i("dur",-1,-1),new i("tur",-1,-1),new i("dür",-1,-1),new i("tür",-1,-1),new i("dır",-1,-1),new i("tır",-1,-1)],qr=[new i("casına",-1,-1),new i("cesine",-1,-1)],Cr=[new i("di",-1,-1),new i("ti",-1,-1),new i("dik",-1,-1),new i("tik",-1,-1),new i("duk",-1,-1),new i("tuk",-1,-1),new i("dük",-1,-1),new i("tük",-1,-1),new i("dık",-1,-1),new i("tık",-1,-1),new i("dim",-1,-1),new i("tim",-1,-1),new i("dum",-1,-1),new i("tum",-1,-1),new i("düm",-1,-1),new i("tüm",-1,-1),new i("dım",-1,-1),new i("tım",-1,-1),new i("din",-1,-1),new i("tin",-1,-1),new i("dun",-1,-1),new i("tun",-1,-1),new i("dün",-1,-1),new i("tün",-1,-1),new i("dın",-1,-1),new i("tın",-1,-1),new i("du",-1,-1),new i("tu",-1,-1),new i("dü",-1,-1),new i("tü",-1,-1),new i("dı",-1,-1),new i("tı",-1,-1)],Pr=[new i("sa",-1,-1),new i("se",-1,-1),new i("sak",-1,-1),new i("sek",-1,-1),new i("sam",-1,-1),new i("sem",-1,-1),new i("san",-1,-1),new i("sen",-1,-1)],Fr=[new i("miş",-1,-1),new i("muş",-1,-1),new i("müş",-1,-1),new i("mış",-1,-1)],Sr=[new i("b",-1,1),new i("c",-1,2),new i("d",-1,3),new i("ğ",-1,4)],Wr=[17,65,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32,8,0,0,0,0,0,0,1],Lr=[1,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,1],xr=[1,64,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],Ar=[17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130],Er=[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],jr=[17],Tr=[65],Zr=[65],Br=[["a",xr,97,305],["e",Ar,101,252],["ı",Er,97,305],["i",jr,101,105],["o",Tr,111,117],["ö",Zr,246,252],["u",Tr,111,117]],Dr=new e;this.setCurrent=function(r){Dr.setCurrent(r)},this.getCurrent=function(){return Dr.getCurrent()},this.stem=function(){return!!($()&&(Dr.limit_backward=Dr.cursor,Dr.cursor=Dr.limit,J(),Dr.cursor=Dr.limit,nr&&(R(),Dr.cursor=Dr.limit_backward,er())))}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.tr.stemmer,"stemmer-tr"),r.tr.stopWordFilter=r.generateStopWordFilter("acaba altmış altı ama ancak arada aslında ayrıca bana bazı belki ben benden beni benim beri beş bile bin bir biri birkaç birkez birçok birşey birşeyi biz bizden bize bizi bizim bu buna bunda bundan bunlar bunları bunların bunu bunun burada böyle böylece da daha dahi de defa değil diye diğer doksan dokuz dolayı dolayısıyla dört edecek eden ederek edilecek ediliyor edilmesi ediyor elli en etmesi etti ettiği ettiğini eğer gibi göre halen hangi hatta hem henüz hep hepsi her herhangi herkesin hiç hiçbir iki ile ilgili ise itibaren itibariyle için işte kadar karşın katrilyon kendi kendilerine kendini kendisi kendisine kendisini kez ki kim kimden kime kimi kimse kırk milyar milyon mu mü mı nasıl ne neden nedenle nerde nerede nereye niye niçin o olan olarak oldu olduklarını olduğu olduğunu olmadı olmadığı olmak olması olmayan olmaz olsa olsun olup olur olursa oluyor on ona ondan onlar onlardan onları onların onu onun otuz oysa pek rağmen sadece sanki sekiz seksen sen senden seni senin siz sizden sizi sizin tarafından trilyon tüm var vardı ve veya ya yani yapacak yapmak yaptı yaptıkları yaptığı yaptığını yapılan yapılması yapıyor yedi yerine yetmiş yine yirmi yoksa yüz zaten çok çünkü öyle üzere üç şey şeyden şeyi şeyler şu şuna şunda şundan şunları şunu şöyle".split(" ")),r.Pipeline.registerFunction(r.tr.stopWordFilter,"stopWordFilter-tr")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.vi.min.js b/site/assets/javascripts/lunr/min/lunr.vi.min.js
deleted file mode 100644
index 22aed28c49b895da20256b02a62dd0bcba9cc6a5..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.vi.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.vi=function(){this.pipeline.reset(),this.pipeline.add(e.vi.stopWordFilter,e.vi.trimmer)},e.vi.wordCharacters="[A-Za-ẓ̀͐́͑̉̃̓ÂâÊêÔôĂ-ăĐ-đƠ-ơƯ-ư]",e.vi.trimmer=e.trimmerSupport.generateTrimmer(e.vi.wordCharacters),e.Pipeline.registerFunction(e.vi.trimmer,"trimmer-vi"),e.vi.stopWordFilter=e.generateStopWordFilter("là cái nhưng mà".split(" "))}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/min/lunr.zh.min.js b/site/assets/javascripts/lunr/min/lunr.zh.min.js
deleted file mode 100644
index fda66e9c5725876e3e6449d7cd3cac78c94f81bb..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/min/lunr.zh.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r(require("@node-rs/jieba")):r()(e.lunr)}(this,function(e){return function(r,t){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==r.version[0];r.zh=function(){this.pipeline.reset(),this.pipeline.add(r.zh.trimmer,r.zh.stopWordFilter,r.zh.stemmer),i?this.tokenizer=r.zh.tokenizer:(r.tokenizer&&(r.tokenizer=r.zh.tokenizer),this.tokenizerFn&&(this.tokenizerFn=r.zh.tokenizer))},r.zh.tokenizer=function(n){if(!arguments.length||null==n||void 0==n)return[];if(Array.isArray(n))return n.map(function(e){return i?new r.Token(e.toLowerCase()):e.toLowerCase()});t&&e.load(t);var o=n.toString().trim().toLowerCase(),s=[];e.cut(o,!0).forEach(function(e){s=s.concat(e.split(" "))}),s=s.filter(function(e){return!!e});var u=0;return s.map(function(e,t){if(i){var n=o.indexOf(e,u),s={};return s.position=[n,e.length],s.index=t,u=n,new r.Token(e,s)}return e})},r.zh.wordCharacters="\\w一-龥",r.zh.trimmer=r.trimmerSupport.generateTrimmer(r.zh.wordCharacters),r.Pipeline.registerFunction(r.zh.trimmer,"trimmer-zh"),r.zh.stemmer=function(){return function(e){return e}}(),r.Pipeline.registerFunction(r.zh.stemmer,"stemmer-zh"),r.zh.stopWordFilter=r.generateStopWordFilter("的 一 不 在 人 有 是 为 為 以 于 於 上 他 而 后 後 之 来 來 及 了 因 下 可 到 由 这 這 与 與 也 此 但 并 並 个 個 其 已 无 無 小 我 们 們 起 最 再 今 去 好 只 又 或 很 亦 某 把 那 你 乃 它 吧 被 比 别 趁 当 當 从 從 得 打 凡 儿 兒 尔 爾 该 該 各 给 給 跟 和 何 还 還 即 几 幾 既 看 据 據 距 靠 啦 另 么 麽 每 嘛 拿 哪 您 凭 憑 且 却 卻 让 讓 仍 啥 如 若 使 谁 誰 虽 雖 随 隨 同 所 她 哇 嗡 往 些 向 沿 哟 喲 用 咱 则 則 怎 曾 至 致 着 著 诸 諸 自".split(" ")),r.Pipeline.registerFunction(r.zh.stopWordFilter,"stopWordFilter-zh")}});
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/tinyseg.js b/site/assets/javascripts/lunr/tinyseg.js
deleted file mode 100644
index 167fa6dd69e074b43de3aa48005d0b748b8e83e7..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/tinyseg.js
+++ /dev/null
@@ -1,206 +0,0 @@
-/**
- * export the module via AMD, CommonJS or as a browser global
- * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js
- */
-;(function (root, factory) {
-    if (typeof define === 'function' && define.amd) {
-        // AMD. Register as an anonymous module.
-        define(factory)
-    } else if (typeof exports === 'object') {
-        /**
-         * Node. Does not work with strict CommonJS, but
-         * only CommonJS-like environments that support module.exports,
-         * like Node.
-         */
-        module.exports = factory()
-    } else {
-        // Browser globals (root is window)
-        factory()(root.lunr);
-    }
-}(this, function () {
-    /**
-     * Just return a value to define the module export.
-     * This example returns an object, but the module
-     * can return a function as the exported value.
-     */
-
-    return function(lunr) {
-        // TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript
-        // (c) 2008 Taku Kudo <taku@chasen.org>
-        // TinySegmenter is freely distributable under the terms of a new BSD licence.
-        // For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt
-
-        function TinySegmenter() {
-          var patterns = {
-            "[一二三四五六七八九十百千万億兆]":"M",
-            "[一-龠々〆ヵヶ]":"H",
-            "[ぁ-ん]":"I",
-            "[ァ-ヴーｱ-ﾝﾞｰ]":"K",
-            "[a-zA-Zａ-ｚＡ-Ｚ]":"A",
-            "[0-9０-９]":"N"
-          }
-          this.chartype_ = [];
-          for (var i in patterns) {
-            var regexp = new RegExp(i);
-            this.chartype_.push([regexp, patterns[i]]);
-          }
-
-          this.BIAS__ = -332
-          this.BC1__ = {"HH":6,"II":2461,"KH":406,"OH":-1378};
-          this.BC2__ = {"AA":-3267,"AI":2744,"AN":-878,"HH":-4070,"HM":-1711,"HN":4012,"HO":3761,"IA":1327,"IH":-1184,"II":-1332,"IK":1721,"IO":5492,"KI":3831,"KK":-8741,"MH":-3132,"MK":3334,"OO":-2920};
-          this.BC3__ = {"HH":996,"HI":626,"HK":-721,"HN":-1307,"HO":-836,"IH":-301,"KK":2762,"MK":1079,"MM":4034,"OA":-1652,"OH":266};
-          this.BP1__ = {"BB":295,"OB":304,"OO":-125,"UB":352};
-          this.BP2__ = {"BO":60,"OO":-1762};
-          this.BQ1__ = {"BHH":1150,"BHM":1521,"BII":-1158,"BIM":886,"BMH":1208,"BNH":449,"BOH":-91,"BOO":-2597,"OHI":451,"OIH":-296,"OKA":1851,"OKH":-1020,"OKK":904,"OOO":2965};
-          this.BQ2__ = {"BHH":118,"BHI":-1159,"BHM":466,"BIH":-919,"BKK":-1720,"BKO":864,"OHH":-1139,"OHM":-181,"OIH":153,"UHI":-1146};
-          this.BQ3__ = {"BHH":-792,"BHI":2664,"BII":-299,"BKI":419,"BMH":937,"BMM":8335,"BNN":998,"BOH":775,"OHH":2174,"OHM":439,"OII":280,"OKH":1798,"OKI":-793,"OKO":-2242,"OMH":-2402,"OOO":11699};
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-            var c5 = ctype[i+1];
-            var c6 = ctype[i+2];
-            score += this.ts_(this.UP1__[p1]);
-            score += this.ts_(this.UP2__[p2]);
-            score += this.ts_(this.UP3__[p3]);
-            score += this.ts_(this.BP1__[p1 + p2]);
-            score += this.ts_(this.BP2__[p2 + p3]);
-            score += this.ts_(this.UW1__[w1]);
-            score += this.ts_(this.UW2__[w2]);
-            score += this.ts_(this.UW3__[w3]);
-            score += this.ts_(this.UW4__[w4]);
-            score += this.ts_(this.UW5__[w5]);
-            score += this.ts_(this.UW6__[w6]);
-            score += this.ts_(this.BW1__[w2 + w3]);
-            score += this.ts_(this.BW2__[w3 + w4]);
-            score += this.ts_(this.BW3__[w4 + w5]);
-            score += this.ts_(this.TW1__[w1 + w2 + w3]);
-            score += this.ts_(this.TW2__[w2 + w3 + w4]);
-            score += this.ts_(this.TW3__[w3 + w4 + w5]);
-            score += this.ts_(this.TW4__[w4 + w5 + w6]);
-            score += this.ts_(this.UC1__[c1]);
-            score += this.ts_(this.UC2__[c2]);
-            score += this.ts_(this.UC3__[c3]);
-            score += this.ts_(this.UC4__[c4]);
-            score += this.ts_(this.UC5__[c5]);
-            score += this.ts_(this.UC6__[c6]);
-            score += this.ts_(this.BC1__[c2 + c3]);
-            score += this.ts_(this.BC2__[c3 + c4]);
-            score += this.ts_(this.BC3__[c4 + c5]);
-            score += this.ts_(this.TC1__[c1 + c2 + c3]);
-            score += this.ts_(this.TC2__[c2 + c3 + c4]);
-            score += this.ts_(this.TC3__[c3 + c4 + c5]);
-            score += this.ts_(this.TC4__[c4 + c5 + c6]);
-        //  score += this.ts_(this.TC5__[c4 + c5 + c6]);    
-            score += this.ts_(this.UQ1__[p1 + c1]);
-            score += this.ts_(this.UQ2__[p2 + c2]);
-            score += this.ts_(this.UQ3__[p3 + c3]);
-            score += this.ts_(this.BQ1__[p2 + c2 + c3]);
-            score += this.ts_(this.BQ2__[p2 + c3 + c4]);
-            score += this.ts_(this.BQ3__[p3 + c2 + c3]);
-            score += this.ts_(this.BQ4__[p3 + c3 + c4]);
-            score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]);
-            score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]);
-            score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]);
-            score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]);
-            var p = "O";
-            if (score > 0) {
-              result.push(word);
-              word = "";
-              p = "B";
-            }
-            p1 = p2;
-            p2 = p3;
-            p3 = p;
-            word += seg[i];
-          }
-          result.push(word);
-
-          return result;
-        }
-
-        lunr.TinySegmenter = TinySegmenter;
-    };
-
-}));
\ No newline at end of file
diff --git a/site/assets/javascripts/lunr/wordcut.js b/site/assets/javascripts/lunr/wordcut.js
deleted file mode 100644
index 0d898c9ed144b1e677355833c2d43e6e8a665a27..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/lunr/wordcut.js
+++ /dev/null
@@ -1,6708 +0,0 @@
-(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}(g.lunr || (g.lunr = {})).wordcut = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){
-var _ = require("underscore");
-
-var Acceptors = {
-  creators: null,
-  current: null,
-  tag: null,
-
-  init: function() {
-    this.creators = [];
-    this.current = [];
-    this.tag = {};
-  },
-
-  reset: function() {
-    this.current = [];
-    this.tag = {}
-  },
-
-  transit: function(ch) {
-    var self = this;
-
-    self.creators.forEach(function(creator) {
-      var acceptor = creator.createAcceptor(self.tag);
-      if (acceptor) 
-        self.current.push(acceptor);
-    });
-    
-    var _current = [];
-    self.tag = {};
-
-    for (var i = 0; i < self.current.length; i++) {
-      var _acceptor = self.current[i]
-        , acceptor = _acceptor.transit(ch);
-      
-      if (!acceptor.isError) {
-        _current.push(acceptor);
-        self.tag[acceptor.tag] = acceptor;
-      }
-    }
-    self.current = _current;
-
-  },
-
-  getFinalAcceptors: function() {    
-    return this.current.filter(function(acceptor) {
-      return acceptor.isFinal;
-    });
-  }
-};
-
-module.exports = function() {
-  var acceptors = _.clone(Acceptors);
-  acceptors.init();
-  return acceptors;
-};
-
-},{"underscore":25}],2:[function(require,module,exports){
-(function (__dirname){
-
-var LEFT = 0;
-var RIGHT = 1;
-var path = require("path");
-var glob = require("glob");
-
-var WordcutDict = {
-
-
-  init: function (dictPathFile, withDefault, words) {
-    withDefault = withDefault || false
-    var defaultDict = path.normalize(__dirname + "/..") + "/data/tdict-*.txt";
-    this.dict=[]
-    var dictPathIsDefined = dictPathFile !== undefined
-    var dictPath = (withDefault || !dictPathIsDefined) ? [defaultDict]: [];
-    var dictPathFile = dictPathFile || defaultDict
-
-    if(dictPathIsDefined){
-      if (Array.isArray(dictPathFile)) {
-        dictPath.concat.apply(dictPath, dictPathFile);
-      } else {
-        dictPath.push(dictPathFile)
-      }
-    }
-
-    this.addFiles(dictPath, false)
-
-    if(words!==undefined){
-      this.addWords(words, false)
-    }
-    this.finalizeDict();
-  },
-
-  addWords: function(words, finalize){
-    finalize = finalize===undefined || finalize;
-    this.dict.push.apply(this.dict, words)
-    if(finalize){
-      this.finalizeDict();
-    }
-  },
-
-  finalizeDict: function(){
-    this.dict = this.sortuniq(this.dict);
-  },
-
-  addFiles: function(files, finalize){
-    finalize = finalize===undefined || finalize;
-    
-    for (var i = 0; i < 1; i++) {
-      var words = "ก.ก.\nก.ก.น.\nก.ข.ค.\nก.ค.\nก.จ.\nก.ช.น.\nก.ฌ.\nก.ต.\nก.ต.ง.\nก.ต.ช.\nก.ตร.\nก.ท.\nก.น.ช.\nก.บช.\nก.บถ.\nก.ป.ส.\nก.พ.\nก.ม.\nก.ย.\nก.ร.\nก.ล.ต.\nก.ว.\nก.ศ.ว.\nก.ส.ท.\nก.ส.ธ.\nก.ส.อ.\nก.อ.\nกก.ตชด.\nกก.ตร.น.\nกก.ภ.จว.\nกก.รสช.\nกกบ.ขส.ทบ.\nกกล.รพน.\nกง.กห.\nกง.ทบ.\nกง.ทร.\nกซข.ป.\nกซม.ป.\nกทม.กรุงเทพมหานคร\nกบ.ทบ.\nกป.สป.\nกพ.ทบ.\nกพ.ทร.\nกพ.ทหาร\nกร.ทบ.\nกรป.กลาง\nกรอ.พอ.\nกศ.ด.\nกศ.บ.\nกศ.บป.\nกศ.ม.\nกษ.ด.\nกษ.บ.\nกษ.ม.\nกส.ด.\nกส.ทบ.\nกส.บ.\nกส.ม.\nกอ.ปค.\nกอ.รพน.\nกอ.รมน.\nกอ.รสต.\nข.ต.ว.\nขว.ทบ.\nขว.ทร.\nขว.ทหาร\nขส.ทบ.\nขส.ทร.\nขส.ทอ.\nค.ด.\nค.บ.\nค.พ.ศ.\nค.ม.\nค.ร.น.\nค.ร.ฟ.\nค.ร.ม.\nค.ศ.\nค.อ.ด.\nค.อ.บ.\nค.อ.ม.\nคศ.ด.\nคศ.บ.\nคศ.ม.\nง.ด.\nจ.จ.\nจ.จ.จ.\nจ.ช.\nจ.ต.\nจ.ท.\nจ.ป.ร.\nจ.ม.\nจ.ศ.\nจ.ส.ต.\nจ.ส.ท.\nจ.ส.อ.\nจ.อ.\nจ.อ.ร.\nจ.๑๘\nจก.ธน.\nจก.สน.\nช.ค.\nช.ค.บ.\nช.พ.ค.\nช.ส.\nช.ส.ค.\nฌ.ป.ค.\nฌ.ศ.ร.\nฌ.ส.อ.\nฐท.สห.\nด.ช.\nด.ญ.\nด.ต.\nด.ศ.ค.\nด.ศ.ร.\nดย.ทร.\nต.ก.\nต.ค.\nต.จ.\nต.จ.ว.\nต.ช.\nต.ต.\nต.บ.\nต.ม.\nต.ร.\nต.ศ.ร.\nต.ห.\nต.อ.\nต.อ.จ.\nตร.กม.\nตร.ซม.\nตร.ต.\nตร.ทล.\nตร.น.\nตร.ปม.\nตร.ภ.\nตร.ม.\nตร.รฟ.\nตร.ว.\nตร.ส.\nตร.สข.\nท.จ.\nท.จ.ว.\nท.ช.\nท.ญ.\nท.ด.\nท.ท.ท.\nท.ทบ.\nท.บ.\nท.พ.\nท.ม.\nท.ศ.\nทก.ด.\nทก.บ.\nทก.ม.\nทส.ปช.\nทส.รมว.กห.\nทุ.ส.นิ.ม.\nธ.ก.ส.\nธ.ค.\nธ.ญ\nธ.บ.\nน.ช.\nน.ญ.\nน.ด.\nน.ต.\nน.ท.\nน.น.\nน.บ.\nน.บ.ท.\nน.ป.ท.\nน.พ.\nน.ม.\nน.ร.\nน.ว.\nน.ศ.\nน.ส.\nน.ส.พ.\nน.ส.๓\nน.สพ.\nน.อ.\nนปพ.ภ.\nนศ.ด.\nนศ.บ.\nนศ.ม.\nบ.ก.\nบ.ข.ส.\nบ.ช.\nบ.ด.ท.\nบ.ตร.\nบ.ภ.\nบ.ม.\nบก.จร.\nบก.ตชด.\nบก.ตม.\nบก.ทล.\nบก.น.\nบก.ป.\nบก.ปค.\nบก.ปม.\nบก.ภ.เขต\nบก.รน.\nบก.รฟ.\nบก.ร้อย.ตชด.\nบก.ส.\nบกข.ป.\nบจพ.ป.\nบช.ก.\nบช.ด.\nบช.ตชด.\nบช.น.\nบช.บ.\nบช.ปส.\nบช.ภ.\nบช.ม.\nบชท.ป.\nบชน.ป.\nบชส.ป.\nบธ.ด.\nบธ.บ.\nบธ.ม.\nบนท.ป.\nบนอ.ป.\nบปช.ป.\nป.กท.\nป.กศ.\nป.กศ.สูง\nป.จ.\nป.จ.ว.\nป.ช.\nป.ธ.\nป.ป.\nป.ป.ก.\nป.ป.ช.\nป.ป.ป.\nป.ป.ร.\nป.ป.ส.\nป.พ.\nป.พ.พ.\nป.พย.\nป.ม.\nป.ม.ก.\nป.ม.ช.\nป.ม.ธ.\nป.ม.ศ.\nป.ม.อ.\nป.ร.ร.๔\nป.ร.ร.๕\nป.ร.ร.๖\nป.ล.\nป.ว.พ.\nป.วิ.อ.\nป.ส.ส.\nป.อ.\nป.อ.ร.ส.\nป.๑\nปม.วส.\nปอ.พ.\nผกก.ภ.\nผช.ผอ.\nผต.มท.\nผบ.ตร.\nผบ.ทบ.\nผบ.ทร.\nผบ.ทสส.\nผบ.ทอ.\nผบก.น.\nผบก.ป.\nผบก.ปค.\nผบก.ปม.\nผบก.ภ.\nผบช.ก.\nผบช.ตชด.\nผบช.น.\nผบช.ภ.\nผว.กทม.\nผอ.ปจ.\nพ.ก.ง.\nพ.กศ.\nพ.ข.ต.\nพ.ค.\nพ.ค.ช.\nพ.ค.ว.\nพ.ค.ศ.\nพ.จ.ต.\nพ.จ.ท.\nพ.จ.อ.\nพ.ช.\nพ.ช.ค.\nพ.ด.\nพ.ต.\nพ.ต.ต.\nพ.ต.ท.\nพ.ต.อ.\nพ.ต.อ.พิเศษ\nพ.ท.\nพ.บ.\nพ.ป.\nพ.ภ.ม.\nพ.ม.\nพ.ม.ช.\nพ.ย.\nพ.ร.ก.\nพ.ร.ฎ.\nพ.ร.ต.\nพ.ร.ธ.\nพ.ร.บ.\nพ.ศ.\nพ.ศ.บ.\nพ.ส.ร.\nพ.ส.ล.\nพ.อ.\nพ.อ.ต.\nพ.อ.ท.\nพ.อ.พิเศษ\nพ.อ.อ.\nพณ.ด.\nพณ.บ.\nพณ.ม.\nพธ.ด.\nพธ.บ.\nพธ.ม.\nพบ.ด.\nพบ.บ.\nพบ.ม.\nพย.ด.\nพย.บ.\nพย.ม.\nพล.จ.\nพล.ต.\nพล.ต.จ.\nพล.ต.ต.\nพล.ต.ท.\nพล.ต.อ.\nพล.ท.\nพล.ปตอ.\nพล.ม.\nพล.ม.๒\nพล.ร.จ.\nพล.ร.ต.\nพล.ร.ท.\nพล.ร.อ.\nพล.อ.\nพล.อ.จ.\nพล.อ.ต.\nพล.อ.ท.\nพล.อ.อ.\nพลา.ทร.\nพศ.ด.\nพศ.บ.\nพศ.ม.\nพอ.สว.\nภ.ง.ด.\nภ.ง.ด.๙\nภ.ด.\nภ.บ.\nภ.บ.ท.๕\nภ.ป.ร.\nภ.พ.\nภ.ม.\nภ.สถ.บ.\nม.ค.\nม.จ.\nม.ป.ท.\nม.ป.ป.\nม.ป.พ.\nม.ร.ว.\nม.ศ.\nม.อ.\nม.อ.ปัตตานี\nมิ.ย.\nมี.ค.\nยศ.ทบ.\nยศ.ทร.\nยศ.ทอ.\nร.ง.\nร.ด.\nร.ต.\nร.ต.ต.\nร.ต.ท.\nร.ต.อ.\nร.ท.\nร.น.\nร.บ.\nร.พ.\nร.ฟ.ล.\nร.ย.ล.\nร.ย.ส.ท.\nร.ล.\nร.ศ.\nร.ส.พ.\nร.อ.\nรป.ม.\nรร.จปร.\nรร.จอ.\nรร.ชท.\nรร.ตท.\nรร.นร.\nรร.นรต.\nรร.นอ.\nล.ญ.\nล.ว.\nลส.ชบ.\nว.ค.\nว.ฉ.\nว.ช.\nว.ด.ป.\nว.ป.ถ.\nวท.บ.\nศ.บ.\nศ.ป.ก.\nศ.ศ.ป.\nศฝร.ภ.\nศศ.บ.\nศษ.บ.\nศส.บ.\nส.ก.\nส.ก.ศ.ท.\nส.ค.\nส.ค.1\nส.ค.ร.\nส.ค.ส.\nส.ต.\nส.ต.ต.\nส.ต.ท.\nส.ต.อ.\nส.ท.\nส.ทร.\nส.ป.ช.\nส.ป.ส.ท.\nส.ป.อ.\nส.ร.\nส.ล.น.\nส.ว.\nส.ว.ท.\nส.ว.ส.ท.\nส.ส.\nส.ส.ท.\nส.ส.ร.\nส.ห.\nส.อ.\nสถ.บ.\nสนง.สสอ.\nสพ.ญ.\nสพ.บ.\nสว.จร.\nสว.ธร.\nสว.ส.\nสว.สป.\nสว.สส.\nสว.อก.\nสส.บ.\nสุ.จิ.ปุ.ลิ.\nห.ร.ม.\nอ.ก.ค.\nอ.ก.จ.\nอ.จ.\nอ.ช.พ.\nอ.ตร.\nอ.บ.\nอ.ส.ท.\nอ.ส.ม.ท.\nอ.ส.ย.\nอ.อ.ป.\nอส.รด.\nอุ.อา.ก.ส.\nฮ.จ.\nฮ.ท.\nฮ.ฝ.\nฮ.ล.\nฮ.ศ.\nเม.ย.\n\nกรีนิช\nกลันตัน\nกัลกัตตา\nกัวลาลัมเปอร์\nกัศมีร์\nกาฐมาณฑุ\nโกลกาตา\nควิเบก\nคอนเนตทิคัต\nคาบูล\nคุชราต\nคุนหมิง\nเคนตักกี\nเคนทักกี\nเคมบริดจ์\nแคชเมียร์\nแคนซัส\nแคนเบอร์รา\nแคโรไลนา\nแคลิฟอร์เนีย\nโคเปนเฮเกน\nโคลัมโบ\nโคโลราโด\nไครสต์เชิร์ช\nไคโร\nจาการ์ตา\nจำปาศักดิ์\nเจนไน\nเจนีวา\nเจ้อเจียง\nฉงชิ่ง\nเฉิงตู\nชานตง\nชิคาโก\nเชนไน\nเชอร์โนบิล\nซัปโปโร\nซานมารีโน\nซาบาห์\nซาราเยโว\nซาราวัก\nซิดนีย์\nซีอาน\nซีแอตเทิล\nซูริก\nซูริค\nเซเชลส์\nเซนได\nเซี่ยงไฮ้\nโซเฟีย\nโซล\nโซโลมอน\nไซ่ง่อน\nไซบีเรีย\nดัลลัส\nดาโคตา\nดานัง\nดีทรอยต์\nดูไบ\nเดนเวอร์\nเดลาแวร์\nเดียนเบียนฟู\nโดเวอร์\nโดฮา\nไดฟุกุ\nไดฟูกุ\nตรังกานู\nตริโปลี\nตูวาลู\nเตหะราน\nโตเกียว\nโตรอนโต\nทมิฬนาฑู\nทริโปลี\nทิเบต\nเทกซัส\nเท็กซัส\nเทนเนสซี\nเทลอาวีฟ\nแทสเมเนีย\nโทรอนโต\nไทเป\nธากา\nนางาซากิ\nนาริตะ\nนิวเจอร์ซีย์\nนิวเดลี\nนิวยอร์ก\nนิวยอร์ค\nนิวแฮมป์เชียร์\nเนบราสกา\nเนแบรสกา\nเนวาดา\nบรัสเซลส์\nบราซิเลีย\nบอมเบย์\nบอสตัน\nบังกาลอร์\nบังคาลอร์\nบูคาเรสต์\nบูดาเปสต์\nเบงกาซี\nเบนกาซี\nเบรุต\nเบลเกรด\nเบอร์ลิน\nแบกแดด\nปอยเปต\nปะลิส\nปะหัง\nปักกิ่ง\nปัญจาบ\nปัฏนา\nปารีส\nปีนัง\nเประ\nเปียงยาง\nพนมเปญ\nพระตะบอง\nพะโค\nพะสิม\nพาราณสี\nพิหารี\nเพนซิลวาเนีย\nเพนซิลเวเนีย\nฟรานซ์\nฟลอริดา\nฟิลาเดลเฟีย\nฟุกุชิมะ\nฟุกุชิมา\nฟุกุโอกะ\nฟูกูโอกะ\nแฟรงก์เฟิร์ต\nมอสโก\nมะนิลา\nมะละแหม่ง\nมัณฑะเลย์\nมัทราส\nมาดริด\nมิชิแกน\nมินนิโซตา\nมิยางิ\nมิลาน\nมิวนิก\nมิสซูรี\nมุมไบ\nเมน\nเมลเบิร์น\nเมาะตะมะ\nเมาะลำเลิง\nแมนจูเรีย\nแมนเชสเตอร์\nแมนฮัตตัน\nแมริแลนด์\nแมรีแลนด์\nแมสซาชูเซตส์\nยะไข่\nย่างกุ้ง\nยูทาห์\nยูนนาน\nเยรูซาเล็ม\nโยโกฮามา\nริยาด\nรีโอเดจาเนโร\nโรดไอแลนด์\nลอนดอน\nลอสแองเจลิส\nลาปาซ\nลาสเวกัส\nลิสบอน\nลุยเซียนา\nโลซาน\nโลซานน์\nวอชิงตัน\nวอร์ซอ\nวิสคอนซิน\nเวนิส\nเวลส์\nเวอร์จิเนีย\nเวอร์มอนต์\nเวียงจันทน์\nเวียนนา\nแวนคูเวอร์\nไวโอมิง\nสกอตแลนด์\nสก็อตแลนด์\nสตอกโฮล์ม\nสลังงอร์\nเสฉวน\nเสียมราฐ\nเสียมเรียบ\nหงสา\nหงสาวดี\nหนานไห่\nหลวงพระบาง\nหูเป่ย\nหูเป่ย์\nหูหนาน\nเหอเป่ย\nเหอเป่ย์\nเหอหนาน\nอชันตา\nอลาสกา\nอวันตี\nออริกอน\nออสโล\nอะแลสกา\nอัตตะปือ\nอัมมาน\nอัมสเตอร์ดัม\nอัสสัม\nอาบูดาบี\nอาร์คันซอ\nอินเดียนา\nอิบารากิ\nอิลลินอยส์\nอิสตันบูล\nอิสลามาบัด\nอุรุมชี\nอูลานบาตอร์\nเอดินบะระ\nเอเธนส์\nแอตแลนตา\nแอริโซนา\nแอลเจียร์\nโอคลาโฮมา\nโอค็อตสค์\nโอกินาวา\nโอซากา\nโอริสสา\nโอเรกอน\nโอไฮโอ\nไอดาโฮ\nไอโอวา\nฮอนโนลูลู\nฮานอย\nฮาเนดะ\nฮาราเร\nฮาวาย\nฮิโรชิมา\nฮุสตัน\nเฮลซิงกิ\n\nมกรา\nกุมภา\nมีนา\nเมษา\nพฤษภา\nมิถุนา\nกรกฎา\nสิงหา\nกันยา\nตุลา\nพฤศจิกา\nธันวา\nเอ\nบี\nซี\nดี\nอี\nเอฟ\nจี\nเอช\nไอ\nเจ\nเค\nแอล\nเอ็ม\nเอ็น\nโอ\nพี\nคิว\nอาร์\nเอส\nที\nยู\nวี\nดับเบิล\nดับบลิว\nเอ็กซ์\nเอ๊กซ์\nวาย\nแซด\nแอลฟา\nแอลฟ่า\nเบตา\nเบต้า\nแกมมา\nแกมม่า\nเดลตา\nเดลต้า\nโอเมกา\nโอเมก้า\nเมกะ\nกิกะ\nนาโน\nไมโคร\n\nกรรมาชน\nกรอบรูป\nกระดี๊กระด๊า\nกระบับ\nกราวนด์\nกรีน\nกรุ๊ป\nกฤษณ์\nกลาส\nก๊วน\nกษัตริยา\nกษัตริยาธิราช\nก่อนหน้า\nกะบับ\nกับดัก\nกัมมันตะ\nก๊าก\nก๋ากั่น\nกาญจน์\nกาญจนาภิเษก\nกามิกาเซ่\nการันตี\nกาหลิบ\nกิฟท์\nกิมจิ\nกีวี\nกึ๊ก\nกึ๋ย\nกุนซือ\nกุมภาพันธ์\nกู๋\nเกจิ\nเกมส์\nเกย์\nเกรด\nเกรย์\nเกสต์เฮาส์\nเก๊ะ\nเก๋ากี้\nเกิร์ล\nแกงค์\nแกรนด์\nแกสโซฮอล์\nแก๊สโซฮอล์\nโกเต็กซ์\nโกลด์\nโกะ\nโก๊ะ\nไกด์\nขั้นตอน\nเขวี้ยง\nคณาญาติ\nครัวซอง\nครัวซองต์\nคร่ำครวญ\nครีเอทีฟ\nครูเสด\nคลับ\nคลาสสิก\nคลิตอริส\nคลิป\nความหมาย\nควิก\nควีน\nคองเกรส\nคอนซูเมอร์\nคอนเซปต์\nคอนเซ็ปต์\nคอนโด\nคอนโดมิเนียม\nคอนเทนเนอร์\nคอนแทค\nคอนแท็ค\nคอนโทรล\nคอนเฟิร์ม\nคอปเตอร์\nคอมพ์\nคอมเพล็กซ์\nคอมมอนส์\nคอมเมนท์\nคอมเมนต์\nคอร์ป\nคอร์ปอเรชั่น\nคอร์รัปชัน\nคอร์รัปชั่น\nคอรัปชัน\nคอรัปชั่น\nคอร์ส\nคอลเล็กชั่น\nคอลัมน์\nคอลัมนิสต์\nคัตเอาต์\nคันคาก\nคันถธุระ\nคันธาระ\nคันยิ\nคัสตาร์ด\nคาราโอเกะ\nคีตกวี\nคีตปฏิภาณ\nคีตราชัน\nคาปูชิโน\nคามิคาเซ่\nคาเฟ่\nคาร์\nคาร์โก้\nคาราเมล\nคาแรกเตอร์\nคาแร็กเตอร์\nคาแรคเตอร์\nคาแร็คเตอร์\nคาวบอย\nคาสิโน\nคิกขุ\nคิวบิก\nคูลเลอร์\nเคบับ\nเครป\nเคลม\nเคลียร์\nเคลื่อนย้าย\nเคส\nเคอร์ฟิว\nแคชเชียร์\nแคทวอล์ค\nแคนดิเดต\nแคนตาลูป\nแคนยอน\nแคนู\nแคป\nแคมป์\nแคมปัส\nแคมเปญ\nแคร์\nแครกเกอร์\nแคร็กเกอร์\nแครอท\nแคสต์\nแคสติง\nแคสติ้ง\nโค้ก\nโค้ช\nโคโยตี\nโคโยตี้\nโครนา\nโคอะล่า\nโคอาลา\nโคอาล่า\nไคลแมกซ์\nไคลแม็กซ์\nงั้น\nง่าว\nงี้\nเง็ง\nโง่เขลา\nไง\nจตุคาม\nจ๊อกกี้\nจอหงวน\nจังโก้\nจัมโบ้\nจ๊าบ\nจารกรรม\nจารชน\nจิ๊ก\nจิ๊กโก๋\nจิ๊กซอว์\nจิตพิสัย\nจิตเภท\nจีดีพี\nจึ๊ก\nจุ๊ย\nจูน\nจูเนียร์\nเจ๊\nเจได\nเจ็ต\nเจล\nเจ๊าะแจ๊ะ\nเจี๊ยว\nแจ็กเก็ต\nแจ๊กเก็ต\nแจ็กพอต\nแจ็กพ็อต\nแจ๊กพอต\nแจ๊กพ็อต\nแจม\nแจ๊ส\nโจ๋\nฉลุย\nเฉิ่ม\nชนะเลิศ\nช็อค\nช็อต\nช็อป\nช็อปปิ้ง\nช็อปเปอร์\nชะโนด\nชัตเตอร์\nชัวร์\nชาร์จ\nชาร์ต\nชาร์ป\nชินบัญชร\nชิฟฟอน\nชีส\nชีอะห์\nเช็ก\nเช็งเม้ง\nเชฟ\nเชลียร์\nเชอร์รี่\nแชเชือน\nแช่แข็ง\nแชมป์\nแชมปิยอง\nแชมเปญ\nแชมเปี้ยน\nแชมพู\nโชว์รูม\nโชห่วย\nใช้งาน\nไชน่า\nซ้อ\nซอมบี้\nซะ\nซังเต\nซันตาคลอส\nซัพพลาย\nซัพพลายเออร์\nซัมเมอร์\nซากุระ\nซาดิสต์\nซาดิสม์\nซาตาน\nซานตาคลอส\nซาฟารี\nซาบะ\nซามูไร\nซาร์\nซาร์ดีน\nซาเล้ง\nซิง\nซิ่ง\nซิงเกิล\nซิตี\nซิตี้\nซินโดรม\nซิม\nซิ้ม\nซิมโฟนี\nซิมโฟนี่\nซิลเวอร์\nซี้\nซี้ซั้ว\nซีดาน\nซีน\nซีนีเพล็กซ์\nซีเนียร์\nซีร็อกซ์\nซีรีส์\nซีเรียส\nซีอีโอ\nซื่อบื้อ\nซุนหนี่\nซุปเปอร์\nซูชิ\nซูเปอร์\nซูม\nซูโม่\nซูเอี๋ย\nซูฮก\nเซ็กซ์\nเซ็กซี่\nเซ็กส์\nเซนเซอร์\nเซ็นเซอร์\nเซนเตอร์\nเซ็นเตอร์\nเซ็นทรัล\nเซนส์\nเซ่นไหว้\nเซฟตี้\nเซรามิก\nเซลส์\nเซลส์แมน\nเซอร์\nเซอร์ไพรส์\nเซอร์วิส\nเซาท์\nเซี้ยว\nแซ็ก\nแซกโซโฟน\nแซ็กโซโฟน\nแซนด์วิช\nแซมบ้า\nแซลมอน\nแซว\nโซเชียล\nโซน\nโซนี่\nโซลาร์\nโซโล\nโซโล่\nญาณทัสสนะ\nดยุก\nดยุค\nดร็อป\nดรัมเมเยอร์\nดรามา\nดราม่า\nดอกเตอร์\nด็อกเตอร์\nดัมพ์\nดั๊มพ์\nดาวน์\nดิกชันนารี\nดิสเครดิต\nดีกรี\nดีเจ\nดีไซน์\nดีไซน์เนอร์\nดีไซเนอร์\nดีเบต\nดีพาร์ตเมนต์\nดีพาร์ตเมนท์\nดีพาร์ทเมนต์\nดีพาร์ทเมนท์\nดีมานด์\nดีล\nดีลเลอร์\nดีเลย์\nเดชานุภาพ\nเดบิต\nเดโม\nเดย์\nเด้อ\nเดอะ\nเด๊ะ\nเดี้ยง\nเดี๊ยะ\nแดนซ์\nแดนเซอร์\nแดรี่\nโดนัท\nโดมิโน\nโดรายากิ\nไดเอ็ต\nตถตา\nตนเอง\nตรวจทาน\nตรวจสอบ\nตอกย้ำ\nต๊อง\nต่อยอด\nต่อรอง\nตะหงิด\nตังค์\nตันเถียน\nตัวตน\nตัวเอง\nตาปรือ\nต้าอ่วย\nติงต๊อง\nติ๋ม\nติ่มซำ\nติว\nติวเตอร์\nตี๋\nตื้บ\nตุ๊ก\nตุ๊กตุ๊ก\nตุ๊ด\nตุ๋ย\nตู้เซฟ\nเต๊ะ\nเตี๊ยม\nแตงกวา\nแตงโม\nแต๋ว\nโต๋เต๋\nโต๊ะจีน\nไตรมาส\nถ่ายทำ\nถูกต้อง\nทงคัตสึ\nทริป\nทรู\nทอม\nท็อป\nทอร์นาโด\nทอล์ค\nทักซิโด\nทันตกรรม\nทันตแพทยศาสตร์\nทับซ้อน\nทัวร์\nทัวร์นาเมนต์\nทัวร์นาเมนท์\nทัวริสต์\nทาเลนต์\nทาวน์\nทาวน์เฮาส์\nทำงาน\nทิป\nทิพยสมบัติ\nทิวลิป\nทีรามิสุ\nทีวี\nทูน่า\nเท็กซ์\nเทค\nเทคโน\nเทคโนแครต\nเทควันโด\nเทป\nเทรด\nเทรนด์\nเทรนเนอร์\nเทรลเลอร์\nเทรลเล่อร์\nเทเลกราฟ\nเทวบัญชา\nเทวบุตร\nเทวา\nเทวาธิราช\nเทโวโรหนะ\nเทอร์โบ\nเที่ยงคืน\nเที่ยงวัน\nเทียมทาน\nแทกติค\nแทคติค\nแทงกั๊ก\nแทงโก้\nโทมาฮอก\nโทมาฮอว์ก\nโทมาฮอว์ค\nโทร\nโทรโข่ง\nไทม์\nไทยแลนด์\nไทเฮา\nธรรมา\nธรรมาภิบาล\nธัมโม\nธีม\nธุรกรรม\nธุหร่ำ\nเธค\nนพมาศ\nนรีแพทย์\nน็อก\nน็อค\nน้องใหม่\nนอมินี\nนอร์ท\nน่ะ\nนางแบบ\nนาฏยศาลา\nนายแบบ\nนายพราน\nนินจา\nนิรันดร์\nนิว\nนิวส์\nนู้ด\nเนอะ\nเนิร์สเซอรี\nเนิร์สเซอรี่\nเนี้ยบ\nโนติส\nไนท์\nไนน์\nบรรพชน\nบร็อกโคลี\nบร็อคโคลี\nบรา\nบริกร\nบริวเวอรี่ส์\nบลอนด์\nบลูเบอร์รี\nบลูเบอร์รี่\nบ๊วย\nบอกซ์\nบ็อกซ์\nบ๊อกซ์\nบอดี้\nบอนด์\nบ๊อบ\nบอมบ์\nบ๋อย\nบอยคอต\nบอยคอตต์\nบอร์ด\nบังเกอร์\nบัตเตอร์\nบัลลาสต์\nบัส\nบาบูน\nบาร์บีคิว\nบาร์บี้\nบาลานซ์\nบิ๊ก\nบิล\nบึม\nบึ้ม\nบุญคุณ\nบุ๋น\nบุปผา\nบู๊\nบูชิโด\nบูติก\nบูติค\nบูม\nเบเกอรี่\nเบญจมบพิตร\nเบตาดีน\nเบนโตะ\nเบนโล\nเบบี้\nเบลอ\nเบอร์เกอร์\nเบอร์รี\nเบิร์ด\nเบิร์น\nแบ็กโฮ\nแบคโฮ\nแบด\nแบต\nแบนเนอร์\nแบรนด์\nแบล็ก\nแบล็ค\nไบโอ\nโบกี้\nโบตั๋น\nโบ้ย\nโบรกเกอร์\nโบรชัวร์\nโบว์\nโบว์ลิ่ง\nไบเบิล\nปฏิสัมพันธ์\nป๊อก\nปอดแหก\nป๊อป\nป๋อหลอ\nปักขคณนา\nปัจเจกชน\nปัจฉิมนิเทศ\nป๊า\nป๋า\nป่าไม้\nปาร์ตี้\nปาสกาล\nปาสคาล\nปาสเตอร์\nปิกอัพ\nปิ๊ง\nปิโตรเคมี\nปิยมิตร\nปึ้ก\nปูอัด\nเปโซ\nเป็นไง\nเปปเปอร์มินต์\nเปเปอร์\nเปราะบาง\nเป๊ะ\nเป่ายิงฉุบ\nเป่ายิ้งฉุบ\nเปียโน\nแป้ก\nแป๋ว\nแป๊ะเจี๊ยะ\nโปร\nโปรเจกต์\nโปรเจ็กต์\nโปรเจกเตอร์\nโปรเจ็กเตอร์\nโปรเจคท์\nโปรเจ็คท์\nโปรดักชั่น\nโปรดิวเซอร์\nโปรโมชั่น\nโปรโมต\nโปรโมเตอร์\nโปรโมท\nโปลิศ\nโปสเตอร์\nผลไม้\nผลักดัน\nผ้าห่ม\nผิดพลาด\nผู้นำ\nแผดเผา\nเฝอ\nพงษ์\nพริตตี้\nพรีเซนต์\nพรีเซ็นเตอร์\nพรีเมียม\nพรีเมียร์\nพฤหัส\nพล็อต\nพลาซ่า\nพลานุภาพ\nพ่อค้า\nพอเพียง\nพะเรอ\nพันธกิจ\nพันธุวิศวกรรม\nพาร์\nพาร์ตเนอร์\nพาร์ทเนอร์\nพาวเวอร์\nพาสเจอร์ไรส์\nพาสตา\nพาสต้า\nพาสปอร์ต\nพาเหรด\nพิซซ่า\nพีเรียด\nพุดดิ้ง\nพุทธภูมิ\nพุทธศตวรรษ\nพุทโธ\nพูล\nเพทนาการ\nเพนกวิน\nเพนตากอน\nเพรส\nเพรียวบาง\nเพลซ\nเพลท\nเพลย์บอย\nเพียบแปร้\nเพียว\nเพาเวอร์\nแพกเกจ\nแพ็ค\nแพตเทิร์น\nแพทเทิร์น\nแพทยสภา\nแพนงเชิญ\nแพนดา\nแพนด้า\nแพลน\nโพลล์\nโพลารอยด์\nโพสต์\nไพลิน\nฟยอร์ด\nฟรังก์\nฟรุต\nฟลอร์\nฟลุก\nฟลุค\nฟลุต\nฟลุท\nฟอยล์\nฟอร์ม\nฟันด์\nฟาวล์\nฟาสต์ฟู้ด\nฟินิกซ์\nฟิวเจอร์\nฟีด\nฟีเวอร์\nฟุตบาท\nเฟรช\nเฟรชชี่\nเฟรม\nเฟมินิสต์\nเฟส\nเฟอร์นิเจอร์\nเฟอร์รี่\nเฟิร์ม\nเฟี้ยวฟ้าว\nแฟกซ์\nแฟ็กซ์\nแฟนซี\nแฟนตาซี\nแฟ้บ\nแฟร์\nแฟรนไชส์\nแฟรี\nแฟรี่\nแฟลช\nแฟล็ต\nโฟน\nโฟม\nโฟล์ค\nไฟต์\nไฟแนนซ์\nไฟลต์\nไฟลท์\nภควัทคีตา\nภควัมบดี\nภควัมปติ\nภคันทลาพาธ\nภววิสัย\nภารตะ\nภูมิทัศน์\nม้ง\nมวลชน\nมยุราภิรมย์\nมลภาวะ\nมหภาค\nมหาอุปราชา\nมอคคา\nมอคค่า\nมอนสเตอร์\nม็อบ\nมอบตัว\nมอยส์เจอไรเซอร์\nมอลล์\nมะกัน\nมั้ง\nมัฟฟิน\nมั้ย\nม้านั่ง\nมาเฟีย\nมาม่า\nมายองเนส\nมายาคติ\nมาร์ก\nมาร์เก็ต\nมาร์เก็ตติ้ง\nมาร์ค\nมาร์จิน\nมาร์ช\nมาร์ต\nมาร์ท\nมาราธอน\nม้าหินอ่อน\nมินต์\nมินท์\nมินิ\nมิลค์\nมิวสิค\nมิสซัง\nมิสไซล์\nมิสเตอร์\nมือถือ\nมุมมอง\nเมคอัพ\nเมจิก\nเมจิค\nเมทัล\nเมเปิล\nเมาท์\nเมี่ยงคำ\nแมกกาซีน\nแม็กกาซีน\nแมคเคอเรล\nแม่ค้า\nแมชชีน\nแมชีน\nแมนชั่น\nแมมบ้า\nแมมโบ้\nโมจิ\nโมเดล\nโมเดิร์น\nโมเต็ล\nโมโนเรล\nโมหจริต\nไมค์\nไมเกรน\nยนตรกรรม\nยอมรับ\nยะเยือก\nยังไง\nยากูซ่า\nยาวี\nยิม\nยิว\nยุวทูต\nยูโทเปีย\nยูโร\nยูวี\nเยน\nเยลลี่\nเย้ว\nเยอบีรา\nเยอบีร่า\nเยอร์บีรา\nเยอร์บีร่า\nแยมโรล\nโยเกิร์ต\nโยโย่\nรวมมิตร\nร็อค\nร็อคเก็ต\nรองรับ\nรอมฎอน\nรอยัลตี้\nระโงก\nรันเวย์\nรัม\nรากหญ้า\nราชบัณฑิตยสถาน\nราชานุญาต\nราชานุสาวรีย์\nรามเทพ\nรามาธิบดี\nรามายณะ\nราเม็ง\nราเมน\nรายชื่อ\nราสเบอร์รี\nริกเตอร์\nริคเตอร์\nรีไซเคิล\nรีดไถ\nรีทัช\nรีเทิร์น\nรีไทร์\nรีแบรนด์\nรีพอร์ท\nรีโมต\nรีโมท\nรีวิว\nรีสอร์ต\nรีสอร์ท\nรีเสิร์ช\nรุมบ้า\nรุสโซ\nรูบิก\nรูบิค\nเรซิน\nเรซิ่น\nเรดิโอ\nเรต\nเรตติ้ง\nแรงใจ\nแรงดูด\nแรงผลัก\nแรลลี\nแรลลี่\nโรดแมป\nโรเนียว\nโรแมนติก\nโรแมนติค\nโรล\nโรลออน\nไรเฟิล\nล็อกเกอร์\nลอจิสติกส์\nล็อต\nล็อบบี้\nลอร์ด\nล้มเหลว\nละติน\nละอ่อน\nลาซานญ่า\nลาติน\nลาเต้\nลานีญา\nลามะ\nลิมิต\nลิมูซีน\nลิสต์\nลีก\nลีด\nลีดเดอร์\nลีเมอร์\nลีลาวดี\nลุค\nลูกชาย\nลูกสาว\nเลกเชอร์\nเลคเชอร์\nเลดี้\nเลสเบี้ยน\nเลิฟ\nแลนด์\nแล็บ\nโลโก้\nโลชั่น\nไลท์\nไลน์\nไลฟ์\nวนาราม\nวราราม\nวโรกาส\nว้อดก้า\nวอเตอร์\nวอฟเฟิล\nว้อย\nวอร์ม\nวอร์มอัพ\nวอร์รูม\nวอล์ก\nวอล์ค\nวอลซ์\nวอลนัต\nวอลนัท\nวอลล์\nว่ะ\nวันเวย์\nวัสสา\nวาซาบิ\nวาทกรรม\nวาทะ\nวานิลลา\nวานิลา\nวาฟเฟิล\nวาริชศาสตร์\nว้าว\nวัคค์\nวัจนะ\nวาไรตี้\nวิก\nวิดีโอ\nวิทย์\nวิน\nวิป\nวิปปิ้ง\nวิภัชภาค\nวิว\nวิลล์\nวิลเลจ\nวีเจ\nวีซ่า\nวีดิทัศน์\nวีน\nวีไอพี\nวืด\nเวณิกา\nเวเฟอร์\nเวสต์\nเวอร์\nเวิร์ก\nเวิร์กช็อป\nเวิร์ค\nเวิร์ลด์\nเวิลด์\nแวมไพร์\nไวกิ้ง\nไวเบรเตอร์\nไวอะกร้า\nไวอากร้า\nศากยบุตร\nศิรินทร์\nศิลปวัฒนธรรม\nศิลปากร\nศิวิไลซ์\nศึกษาศาสตร์\nสกรัม\nสกาย\nสกู๊ป\nสเกตช์\nสเก็ตช์\nสคริปต์\nสแควร์\nสงบสุข\nสจ๊วต\nสตรอเบอร์รี\nสตรอเบอรี\nสตรอว์เบอร์รี\nสตริง\nสต็อก\nสต๊อก\nสต็อค\nสต๊อค\nสตอรี\nสตาร์\nสตาร์ท\nสติกเกอร์\nสติ๊กเกอร์\nสตีล\nสตูดิโอ\nสเตชัน\nสเตชั่น\nสเตเดียม\nสเตนเลส\nสเต็ป\nสเตย์\nสเตริโอ\nสเตอริโอ\nสแตนดาร์ด\nสแตนเลส\nสโตน\nสโตร์\nสไตรค์\nสไตล์\nสถาปัตย์\nสไนเปอร์\nสปอต\nสป็อต\nสปอนเซอร์\nสปอร์ต\nสปา\nสปาย\nสปิริต\nสเปก\nสเปค\nสไปเดอร์\nสมณพราหมณ์\nสมาพันธ์\nสมิติเวช\nสโรชา\nสลัม\nสแล็ก\nสโลแกน\nสโลว์\nสไลด์\nสวีท\nสหรัฐ\nสหัชญาณ\nสหัสวรรษ\nสะกอม\nสะเด่า\nสะบึม\nสะบึมส์\nสะออน\nสังโฆ\nสะโหลสะเหล\nสันทนาการ\nสัมนา\nสามช่า\nสามแยก\nสารขัณฑ์\nสี่แยก\nสึนามิ\nสุนทรีย์\nสุริยยาตร\nสุริยยาตร์\nสุหนี่\nเสกสรรค์\nเสพติด\nเสือโคร่ง\nหงวน\nหน่อมแน้ม\nหมวย\nหมั่นโถว\nหม่านโถว\nหมายปอง\nหมิง\nหยวน\nหลวงตา\nหลวงปู่\nหลวงพี่\nหล่อฮังก้วย\nหลินจือ\nห่วย\nเห็นด้วย\nเหมย\nเห่ย\nเหี่ยวย่น\nแหม็บ\nแหวว\nโหงว\nโหงวเฮ้ง\nโหลน\nโหลยโท่ย\nไหง\nไหร่\nอพาร์ตเมนต์\nอพาร์ตเมนท์\nอพาร์ทเมนต์\nอพาร์ทเมนท์\nอมาตยาธิปไตย\nอยุติธรรม\nอริยสงฆ์\nอ่วม\nอวอร์ด\nออกแบบ\nออดิชั่น\nออดิทอเรียม\nออเดอร์\nออโต้\nออทิสติก\nอ่อนด้อย\nออฟ\nออยล์\nออร์แกน\nออร์แกนิก\nออร์แกนิค\nออร์เดอร์\nออรัล\nออสซี่\nอะ\nอัตลักษณ์\nอัตวิสัย\nอันเดอร์\nอันตรกิริยา\nอัลตรา\nอัลไซเมอร์\nอัลบัม\nอัลบั้ม\nอัลมอนด์\nอาข่า\nอาโนเนะ\nอาฟเตอร์\nอาร์ติสต์\nอาร์พีจี\nอาว์\nอาสวะ\nอิกัวนา\nอินดอร์\nอินดัสตรีส์\nอินเตอร์\nอิ่มแปร้\nอิมพีเรียล\nอิเล็กทริก\nอิเล็กทริค\nอิเลียด\nอิสรชน\nอิเหนา\nอิออน\nอีแต๋น\nอีโรติก\nอีเวนท์\nอีสต์\nอีสเตอร์\nอึ๊บ\nอึ้ม\nอึ๋ม\nอึมครึม\nอุด้ง\nอุตสาหการ\nอุเทน\nอุปการคุณ\nอุปทาน\nอุปนายก\nอุปนายิกา\nอุปสงค์\nอุปัทวเหตุ\nอุรังคธาตุ\nอูคูเลเล่\nอู้ฟู่\nเอ๋\nเอ็กซ์โป\nเอ็กซ์เพรส\nเอ็กโซเซต์\nเอ็กโซเซ่ต์\nเอเซีย\nเอ็นจีโอ\nเอ็นเตอร์เทน\nเอนทรานซ์\nเอ็นทรานซ์\nเอฟเฟ็กต์\nเอเยนต์\nเอลนีโญ\nเอสเปรสโซ\nเอสเพรสโซ\nเอ๋อ\nเอาต์\nเอาท์\nเอาท์ดอร์\nเอ๊าะ\nแอ็กชั่น\nแอ็คชั่น\nแอคทีฟ\nแอดมิชชั่น\nแอดมิสชัน\nแอนด์\nแอ๊บแบ๊ว\nแอปเปิล\nแอปเปิ้ล\nแอปพริคอท\nแอพพริคอท\nแอพริคอต\nแอร์\nแอโรบิก\nแอโรบิค\nแอลมอนด์\nแอสเตอร์\nโอเค\nโอเปอเรเตอร์\nโอเปร่า\nโอเพ่น\nโอ้ย\nโอยัวะ\nโอรสาธิราช\nโอเลี้ยง\nโอวัลติน\nโอเวอร์\nไอซ์\nไอซียู\nไอดอล\nไอเดีย\nไอติม\nฮวงจุ้ย\nฮ่องเต้\nฮองเฮา\nฮอต\nฮ็อต\nฮอตดอก\nฮ็อตด็อก\nฮันนีมูน\nฮัม\nฮัลโลวีน\nฮัลโหล\nฮากกา\nฮาร์ด\nฮาราคีรี\nฮาลาล\nฮาโลวีน\nฮิ\nฮิต\nฮิบรู\nฮิปโป\nฮิปฮอป\nฮีโร่\nฮูลาฮูป\nฮูล่าฮูป\nเฮฟวี\nเฮฟวี่\nเฮอร์ริเคน\nเฮีย\nแฮนด์\nแฮปปี้\nแฮมเบอร์เกอร์\nโฮป\nโฮม\nโฮลดิงส์\nโฮลวีต\nโฮสเตส\nไฮกุ\nไฮแจ็ค\nไฮโซ\nไฮเทค\nไฮบริด\nไฮเปอร์\nไฮไลต์\nไฮไลท์\nไฮเวย์\nไฮสคูล\nไฮเอนด์\n\nกรีซ\nกัมพูชา\nกัวเตมาลา\nกาตาร์\nกานา\nกาบอง\nกายอานา\nกินี\nเกรนาดีนส์\nเกรเนดา\nเกาหลี\nแกมเบีย\nโกตดิวัวร์\nคองโก\nคอโมโรส\nคอสตาริกา\nคาซัคสถาน\nคิตส์\nคิริบาตี\nคิริบาส\nคิวบา\nคีร์กีซสถาน\nคูเวต\nเคนยา\nเคปเวิร์ด\nเคย์แมน\nแคนาดา\nแคเมอรูน\nโครเอเชีย\nโคลอมเบีย\nจอร์เจีย\nจอร์แดน\nจาเมกา\nจิบูตี\nจีน\nชาด\nชิลี\nเช็ก\nซามัว\nซาอุ\nซิมบับเว\nซีเรีย\nซูดาน\nซูรินาเม\nเซนต์\nเซเนกัล\nเซอร์เบีย\nเซาตูเม\nเซียร์รา\nแซมเบีย\nโซมาเลีย\nโซเวียต\nไซปรัส\nญี่ปุ่น\nดารุสซาลาม\nเดนมาร์ก\nโดมินิกัน\nโดมินิกา\nตรินิแดด\nตองกา\nติมอร์\nตุรกี\nตูนิเซีย\nเติร์กเมนิสถาน\nโตโก\nโตเบโก\nไต้หวัน\nทาจิกิสถาน\nแทนซาเนีย\nนอร์เวย์\nนามิเบีย\nนาอูรู\nนิการากัว\nนิวซีแลนด์\nเนเธอร์แลนด์\nเนปาล\nเนวิส\nไนจีเรีย\nไนเจอร์\nบราซิล\nบริติช\nบริเตน\nบรูไน\nบอตสวานา\nบอสเนีย\nบังกลาเทศ\nบังคลาเทศ\nบัลแกเรีย\nบาร์บูดา\nบาร์เบโดส\nบาห์เรน\nบาฮามาส\nบิสเซา\nบุรุนดี\nบูร์กินาฟาโซ\nเบนิน\nเบลเยียม\nเบลารุส\nเบลีซ\nเบอร์มิวดา\nโบลิเวีย\nปรินซิปี\nปากีสถาน\nปานามา\nปาปัวนิวกินี\nปารากวัย\nปาเลสไตน์\nปาเลา\nเปรู\nเปอร์เซีย\nเปอร์โตริโก\nโปรตุเกส\nโปแลนด์\nฝรั่งเศส\nพม่า\nฟิจิ\nฟินแลนด์\nฟิลิปปินส์\nเฟรนช์\nภูฏาน\nภูฐาน\nมองโกเลีย\nมอนเตเนโกร\nมอนแทนา\nมอริเชียส\nมอริเตเนีย\nมอลโดวา\nมอลตา\nมัลดีฟส์\nมาเก๊า\nมาซิโดเนีย\nมาดากัสการ์\nมาร์แชลล์\nมาลาวี\nมาลี\nมาเลเซีย\nเม็กซิโก\nเมียนมาร์\nโมซัมบิก\nโมนาโก\nโมนาโค\nโมร็อกโก\nไมโครนีเซีย\nยูกันดา\nยูโกสลาเวีย\nยูเครน\nเยเมน\nเยอรมนี\nรวันดา\nรัสเซีย\nโรมาเนีย\nลักเซมเบิร์ก\nลัตเวีย\nลาว\nลิกเตนสไตน์\nลิทัวเนีย\nลิเบีย\nลีโอน\nลูเซีย\nเลโซโท\nเลบานอน\nเลสเต\nไลบีเรีย\nวาติกัน\nวานูอาตู\nวินเซนต์\nเวเนซุเอลา\nเวียดนาม\nศรีลังกา\nสเปน\nสโลวะเกีย\nสโลวัก\nสโลวีเนีย\nสวาซิแลนด์\nสวิตเซอร์แลนด์\nสวีเดน\nสหรัฐ\nสหราชอาณาจักร\nสิกขิม\nสิงคโปร์\nอเมริกา\nออสเตรเลีย\nออสเตรีย\nอันดอร์รา\nอัฟกานิสถาน\nอาเซอร์ไบจาน\nอาร์เจนตินา\nอาร์เมเนีย\nอาระเบีย\nอิเควทอเรียล\nอิตาลี\nอินเดีย\nอินโดนีเซีย\nอิรัก\nอิสราเอล\nอิหร่าน\nอียิปต์\nอุซเบกิสถาน\nอุรุกวัย\nเอกวาดอร์\nเอธิโอเปีย\nเอมิเรตส์\nเอริเทรีย\nเอลซัลวาดอร์\nเอสโตเนีย\nแองโกลา\nแอนติกา\nแอลจีเรีย\nแอลเบเนีย\nโอมาน\nไอซ์แลนด์\nไอร์แลนด์\nฮ่องกง\nฮอนดูรัส\nฮังการี\nเฮติ\nเฮอร์เซโกวีนา\n\nกระบี่\nกรุงเทพ\nกาญจนบุรี\nกาฬสินธุ์\nกำแพงเพชร\nขอนแก่น\nจันทบุรี\nฉะเชิงเทรา\nชลบุรี\nชัยนาท\nชัยภูมิ\nชุมพร\nเชียงราย\nเชียงใหม่\nตรัง\nตราด\nตาก\nนครนายก\nนครปฐม\nนครพนม\nนครราชสีมา\nนครศรีธรรมราช\nนครสวรรค์\nนนทบุรี\nนราธิวาส\nน่าน\nบึงกาฬ\nบุรีรัมย์\nปทุมธานี\nประจวบคีรีขันธ์\nปราจีนบุรี\nปัตตานี\nพะเยา\nพังงา\nพัทลุง\nพิจิตร\nพิษณุโลก\nเพชรบุรี\nเพชรบูรณ์\nแพร่\nภูเก็ต\nมหาสารคาม\nมุกดาหาร\nแม่ฮ่องสอน\nยโสธร\nยะลา\nร้อยเอ็ด\nระนอง\nระยอง\nราชบุรี\nลพบุรี\nลำปาง\nลำพูน\nเลย\nศรีสะเกษ\nสกลนคร\nสงขลา\nสตูล\nสมุทรปราการ\nสมุทรสงคราม\nสมุทรสาคร\nสระแก้ว\nสระบุรี\nสิงห์บุรี\nสุโขทัย\nสุพรรณบุรี\nสุราษฎร์\nสุราษฎร์ธานี\nสุรินทร์\nหนองคาย\nหนองบัวลำภู\nอยุธยา\nอ่างทอง\nอำนาจเจริญ\nอุดรธานี\nอุตรดิตถ์\nอุทัยธานี\nอุบลราชธานี\nกันทรลักษ์\nจตุจักร\nไชยา\nซีคอน\nดอนเมือง\nถลาง\nไทรโยค\nธนบุรี\nธัญบุรี\nบางกอก\nบางปะกง\nบางระจัน\nปะทิว\nปาย\nพญาไท\nพัฒน์พงษ์\nพัทยา\nพารากอน\nภูมิซรอล\nรัตนาธิเบศร์\nรังสิต\nลันตา\nลาดพร้าว\nวโรรส\nวิภาวดี\nสตึก\nสมุย\nสัตหีบ\nสิมิลัน\nสุขุมวิท\nสุไหง\nเสลภูมิ\nอังรีดูนังต์\nอ่างขาง\nอินทนนท์\nเอ็มโพเรียม\n\nคิวชู\nแคริบเบียน\nแคสเปียน\nดานูบ\nตะนาวศรี\nนอร์วีเจียน\nนิโคบาร์\nเนรัญชรา\nไนล์\nบอร์เนียว\nบอลติก\nเบงกอล\nปิง\nแปซิฟิก\nมะละกา\nมินดาเนา\nมิสซิสซิปปี\nเมดิเตอร์เรเนียน\nเมโสโปเตเมีย\nยมุนา\nยุโรป\nยูเรเชีย\nยูเรเซีย\nแยงซี\nแยงซีเกียง\nสแกนดิเนเวีย\nสะโตง\nสาละวิน\nสุมาตรา\nสุเอซ\nอะเมซอน\nอันดามัน\nอัลไต\nอาร์กติก\nอาหรับ\nอินโดจีน\nอิรวดี\nอิระวดี\nอีเจียน\nอุษาคเณย์\nอูราล\nเอเชีย\nเอเดรียติก\nเอเวอเรสต์\nแอตแลนติก\nแอนตาร์กติก\nแอนตาร์กติกา\nแอฟริกา\nโอลิมปัส\nไอโอเนียน\nฮวงโห\nฮอกไกโด\nฮอนชู\n\nกบิลพัสดุ์\nกุสินารา\nโกลิยะ\nโกสัมพี\nโคตรบอง\nโคตรบูรณ์\nตองอู\nทรอย\nทวารวดี\nทวาราวดี\nเทวทหะ\nไทรบุรี\nนาลันทา\nไบแซนไทน์\nปรัสเซีย\nปัลลวะ\nปาฏลีบุตร\nพุทธคยา\nมถุรา\nมายัน\nมิถิลา\nราชคฤห์\nล้านช้าง\nล้านนา\nลุมพินี\nวัชชี\nเวสาลี\nสารนาถ\nสาวัตถี\nหริภุญชัย\nอโยธยา\nออตโตมัน\nอังวะ\nอินทปัตถ์\nอุชเชนี\n\nกราฟิก\nกราฟิกส์\nกราฟิค\nกริด\nกิกะไบต์\nกูเกิล\nกูเกิ้ล\nเกตเวย์\nโกลบอล\nคลัสเตอร์\nคลาส\nคลิก\nคลิปอาร์ต\nคอนโซล\nคอนเทนต์\nคอมพิวติ้ง\nคอมไพล์\nคอมไพเลอร์\nคอมมูนิเคชั่น\nคอร์\nคีย์\nคีย์บอร์ด\nเครือข่าย\nเคอร์เซอร์\nเคอร์เนล\nแคช\nแคมฟรอก\nแคมฟร็อก\nแคร็ก\nโค้ด\nจาวา\nจีพีเอส\nชิป\nชิพ\nเชลล์\nแช็ต\nแชนเนล\nแชนแนล\nซ็อกเก็ต\nซอฟต์แวร์\nซอฟท์แวร์\nซอร์ส\nซัพพอร์ต\nซัพพอร์ท\nซีดี\nซีดีรอม\nซีเนอร์\nเซิร์ฟเวอร์\nโซลูชัน\nโซลูชั่น\nไซต์\nไซเบอร์\nทรานแซกชัน\nทรานแซกชั่น\nทรานแซ็กชัน\nทรานแซ็กชั่น\nทรานแซคชัน\nทรานแซคชั่น\nทรานแซ็คชัน\nทรานแซ็คชั่น\nทวิตเตอร์\nทวีต\nทัชแพด\nเทมเพลต\nเทอร์มินัล\nแท็ก\nแท็บ\nแทบเล็ต\nโทรจัน\nเน็ต\nเน็ตบุ๊ก\nเน็ตบุค\nเน็ตบุ๊ค\nเน็ตเวิร์ก\nเน็ตเวิร์ค\nโน้ตบุ๊ก\nโน้ตบุค\nโน้ตบุ๊ค\nดอส\nดาวน์เกรด\nดาวน์โหลด\nดิจิตอล\nดิจิทัล\nดีบั๊ก\nดีวีดี\nดีไวซ์\nเดเบียน\nเดลไฟ\nเดสก์ท็อป\nโดเมน\nไดรว์\nไดรเวอร์\nไดเรกทอรี\nไดโอด\nเทเลคอม\nบล็อกเกอร์\nบรอดแบนด์\nบราวเซอร์\nบลูทูท\nบลูทูธ\nบลูเรย์\nบั๊ก\nบัฟเฟอร์\nบิต\nบิท\nบูต\nเบราว์เซอร์\nแบนด์วิดท์\nไบต์\nไบนารี\nโปรแกรมเมอร์\nโปรเซส\nโปรเซสเซอร์\nโปรโตคอล\nพร็อกซี\nพอร์ต\nพอร์ท\nพาเนล\nพาร์ทิชัน\nพารามิเตอร์\nพาสเวิร์ด\nพิกเซล\nเพจ\nเพจเจอร์\nแพกเก็ต\nแพตช์\nแพลตฟอร์ม\nโพรเซส\nโพรเซสเซอร์\nโพรโทคอล\nไพธอน\nฟล็อปส์\nฟอนต์\nฟอร์แมต\nฟอร์เวิร์ด\nฟอรัม\nฟีเจอร์\nเฟซบุ๊ก\nเฟิร์มแวร์\nแฟล็ก\nโฟลเดอร์\nไฟร์ฟอกซ์\nไฟร์วอลล์\nไฟล์\nมอดูล\nมอนิเตอร์\nมัลติ\nมัลติทัช\nมัลติเพล็กซ์\nมัลแวร์\nมาสเตอร์\nมีเดีย\nเมนู\nเมมโมรี\nเมล\nเมาส์\nแมค\nโมดูล\nโมเด็ม\nโมบาย\nโมบายล์\nโมไบล์\nไมโครซอฟท์\nยูนิกซ์\nยูนิโคด\nยูนิโค้ด\nริงโทน\nรีเฟรช\nรีเลย์\nเราเตอร์\nเรียลไทม์\nลิงก์\nลินุกซ์\nลีนุกซ์\nลูป\nเลเยอร์\nแล็ปท็อป\nไลเซนส์\nไลบรารี\nวิกิ\nวิกิพีเดีย\nวินโดวส์\nวินโดว์ส\nเว็บ\nเวอร์ชวล\nเวอร์ชัน\nเวอร์ชั่น\nเวิร์กสเตชัน\nเวิร์กสเตชั่น\nเวิร์คสเตชัน\nเวิร์คสเตชั่น\nเวิร์ด\nเวิร์ม\nไวแมกซ์\nสกรีน\nสแกน\nสแกนเนอร์\nสแต็ก\nสนิฟเฟอร์\nสปายแวร์\nสเปซ\nสแปม\nสมาร์ท\nสล็อต\nเสิร์ช\nโหลด\nออนไลน์\nออปติก\nออปติคอล\nออปติคัล\nออฟไลน์\nออราเคิล\nอัพเกรด\nอัพเดต\nอัพโหลด\nอัปเกรด\nอัปเดต\nอัปโหลด\nอัลกอริทึม\nอาร์กิวเมนต์\nอินเตอร์เน็ต\nอินทิเกรเตอร์\nอินเทอร์เน็ต\nอินเทอร์เฟซ\nอินเทล\nอินพุต\nอินพุท\nอีเมล\nอีเมล์\nอูบุนตู\nอูบันตู\nเอนจิน\nเอ็นจิน\nเอาต์พุต\nเอาต์พุท\nเอาท์พุต\nเอาท์พุท\nแอนะล็อก\nแอนิเมชัน\nแอนิเมชั่น\nแอปพลิเคชัน\nแอปพลิเคชั่น\nแอพพลิเคชัน\nแอพพลิเคชั่น\nแอสเซมบลี\nแอสเซมเบลอร์\nโอเพน\nไอคอน\nไอซี\nไอพอด\nไอพ็อด\nไอแพด\nไอโฟน\nฮับ\nฮาร์ดดิสก์\nฮาร์ดแวร์\nแฮกเกอร์\nแฮ็กเกอร์\nแฮนด์เฮลด์\nโฮสต์\n\nกรีก\nกัณณาฑ\nกัศมีรี\nคันจิ\nคาตาคานะ\nคุชราตี\nคุรุมุขี\nซีริลลิก\nซูลู\nเซลติก\nเซิร์บ\nตากาล็อก\nเตลุคู\nเติร์ก\nทราวิฑ\nเบงกาลี\nปัญจาบี\nพินอิน\nมลยาฬัม\nมองโกล\nมาราฐี\nมาเลย์\nเม็กซิกัน\nแมนจู\nแมนดาริน\nไมถิลี\nเยอรมัน\nรัสเซียน\nสวาฮิลี\nสวิส\nสินธี\nอูรดู\nอัสสมี\nอารบิก\nอิตาเลียน\nอุยกูร์\nแอฟริกัน\nโอริยา\nไอริช\nฮันกึล\nฮินดี\nฮิรางานะ\nฮีบรู\n\nกรีนพีซ\nกรือเซะ\nกวนอิม\nกวนอู\nกัดดาฟี\nกัลยาณวัตร\nกัสสปะ\nกาลิเลโอ\nกินเนส\nกุมภกรรณ\nกูเตนเบิร์ก\nเกตส์\nเกษมณี\nโกณฑัญญะ\nขงเบ้ง\nคริสโตเฟอร์\nคองคอร์ด\nคอลเกต\nคานธี\nคาเบรียล\nคาร์ฟูร์\nคาร์สัน\nคาราบาว\nคาสิโอ\nคิริน\nคุนลุ้น\nคูโบต้า\nเครมลิน\nแคทรีนา\nโคตมะ\nโคตมี\nโคลัมบัส\nไคฟง\nไครสเลอร์\nง้อไบ๊\nจตุพร\nจ็อบส์\nจอห์น\nจิ้น\nจิม\nจิ๋ม\nจิว\nจุฬาภรณ์\nจุฬาลงกรณ์\nเจมส์\nแจ็กสัน\nโจเซฟ\nโจว\nชมัยมรุเชฐ\nชมัยมรุเชษฐ์\nชเวดากอง\nชาร์ลส์\nชินราช\nชินวัตร\nชุนชิว\nเช็ง\nเชตวัน\nเชฟรอน\nเชฟโรเลต\nเชลซี\nไชยานุชิต\nซ่ง\nซังฮี้\nซัดดัม\nซันซิล\nซัมซุง\nซัวเจ๋ง\nซินหัว\nซีซาร์\nซีแพค\nซูซาน\nซูซูกิ\nซูบารุ\nเซ็นทารา\nเซเวน\nเซเว่น\nโซฟิเทล\nโซยุซ\nโซยูซ\nณัฐวุฒิ\nดาร์ลี่\nดาวโจนส์\nดิสนีย์\nดีแทค\nดูปองท์\nเดโมแครต\nเดลล์\nเดลินิวส์\nเดวิด\nแดวู\nโดนัลด์\nโดราเอมอน\nโดเรมอน\nต๋อง\nตั๊กม้อ\nตากสิน\nตาเมือน\nตาลีบัน\nตูน\nเตมีย์\nโต๋\nโตชิบา\nโตโยต้า\nถังซัมจั๋ง\nถังซำจั๋ง\nทรพา\nทราเวล\nทรูมูฟ\nทีปังกร\nเทปโก\nเทพรัตน\nเทวทัต\nเทสโก้\nโทมัส\nไททานิก\nไททานิค\nไทยรัฐ\nธีออส\nนครินทรา\nนโปเลียน\nนพดล\nนราดูร\nนเรนทร\nนอสตราดามุส\nนาซา\nนาซ่า\nนาซี\nนาโต\nนาโต้\nนาลแก\nนิคอน\nนิโคลัส\nนิด้า\nนินเทนโด\nนิปปอน\nนิวตัน\nนิสสัน\nเนคเทค\nเนชั่น\nเนชันแนล\nเนชั่นแนล\nเนวิน\nเนสเล่\nเนสาด\nแนท\nแนสแดค\nโนเกีย\nโนเบล\nโนเวลล์\nโนโวเทล\nไนเม็กซ์\nบรอดเวย์\nบรัดเลย์\nบรู๊ซ\nบัลเมอร์\nบารัก\nบารัค\nบู๊ตึ๊ง\nเบญกาย\nเบนซ์\nเบ็นซ์\nเบนจามิน\nโบตัน\nไบโอเทค\nประชาธิปัตย์\nปวีณา\nปอเต็กตึ๊ง\nปอเต๊กตึ๊ง\nป่อเต็กตึ๊ง\nปัตตะโชติ\nปารุสก์\nปีเตอร์\nปูติน\nเป๊ปซี่\nเป้ย\nเปอร์โยต์\nเปาบุ้นจิ้น\nโปเกมอน\nโป๊ยก่าย\nพรหมทัต\nพลาโต\nพอลล่า\nพานาโซนิค\nพานาโซนิก\nพิทยานุกูล\nพิมพิสาร\nเพนแทกซ์\nเพลโต\nไพโอเนียร์\nฟรอยด์\nฟรังซิส\nฟรานซิส\nฟลอเรนซ์\nฟอร์ด\nฟิลิปส์\nฟูจิ\nแฟซ่า\nโฟร์โมสต์\nภูมิพล\nภูริทัต\nมงฟอร์ต\nมณโฑ\nมติชน\nมหิตลาธิเบศร\nมโหสถ\nมัจฉานุ\nมาร์กาเร็ต\nมาร์ติน\nมาสด้า\nมิตซูบิชิ\nมิราเคิล\nมุสโสลินี\nเม้ง\nเมจิ\nเมอร์ซีเดส\nเมอร์เซเดส\nแมกซ์เวลล์\nแมกไซไซ\nแมคอินทอช\nแมชีนเนอรี่\nโมคคัลลานะ\nโมโตโรลา\nโมโตโรล่า\nโมเนีย\nไมเคิล\nไมยราพณ์\nยโสธรา\nยะโฮวา\nยะโฮวาห์\nยามาฮ่า\nยาเวห์\nยาฮู\nยูนิเซฟ\nยูเนสโก\nยูไล\nเยโฮวาห์\nรอยเตอร์\nรอยัล\nรัชดา\nรัสปูติน\nราฟาเอล\nรามาวตาร\nราเมศวร\nราหุล\nริชาร์ด\nรีพับลิกัน\nรูนีย์\nเรนโบว์\nแรมโบ้\nโรตารี\nโรนัลโด\nโรนัลโด้\nโรบินสัน\nโรเบิร์ต\nล็อกซเล่ย์\nลิงคอล์น\nลิจฉวี\nลิไท\nลิไทย\nลินคอล์น\nลิเวอร์พูล\nเลโนโว\nเลียดก๊ก\nโลตัส\nวชิราลงกรณ์\nวลาดิเมียร์\nวอลล์สตรีท\nวาเลนไทน์\nวิกตอเรีย\nวิทยานุสรณ์\nวิทยายน\nวิมเบิลดัน\nวิลเลียม\nวีระ\nวุฒิชัย\nเวียดกง\nไวตามิลค์\nศกุนตลา\nศรีวิชัย\nศิริพงษ์\nศิริราช\nศุภชลาศัย\nสดกก๊อกธม\nสดายุ\nสตาลิน\nสตีฟ\nสแตนฟอร์ด\nสวรินทิรา\nสังกัจจายน์\nสาทิตย์\nสารีบุตร\nสิริกิติ์\nสิรินธร\nสิหิงค์\nสีวลี\nสีหนุ\nสีหมุนี\nสีหโมนี\nสุครีพ\nสุทโธทนะ\nสุเทพ\nสุนทราภรณ์\nสุนีย์\nสุรนารี\nสุรยุทธ์\nสุริยาสน์\nเส้าหลิน\nโสกราตีส\nโสภิต\nหนุมาน\nหลินฮุ่ย\nหลุยส์\nเห้งเจีย\nไหหม่า\nองคต\nองคุลิมาล\nอชาตศัตรู\nอดุลยเดช\nอพอลโล\nอริสโตเติล\nอริสมันต์\nอลิซาเบธ\nอ๋อม\nออร์คิด\nออสการ์\nอะพอลโล\nอับราฮัม\nอั้ม\nอัลกออิดะห์\nอัลคาเทล\nอัลจาซีราห์\nอัลเฟรด\nอัลเลาะห์\nอัสซุส\nอัสสชิ\nอัสสัมชัญ\nอาเซม\nอาเซ็ม\nอาเซียน\nอาฟต้า\nอาร์เซนอล\nอินทรชิต\nอินทราทิตย์\nอีซูซุ\nอีเลฟเวน\nอีเลฟเว่น\nอุณรุท\nอุบลรัตน์\nอุบาลี\nอุ๋ย\nเอกทัศน์\nเอเซอร์\nเอ็ดเวิร์ด\nเอดิสัน\nเอแบค\nเอลิซาเบธ\nเอสพลานาด\nเอสพลานาร์ด\nแอคคอร์\nแอคคอร์ด\nแองเจลิน่า\nแอตแลนติส\nแอน\nแอ๋ม\nแอมบาสซาเดอร์\nแอมบาสเดอร์\nแอมเวย์\nแอ๋ว\nโอดีสซีย์\nโอเดียน\nโอบามา\nโอรสาราม\nโอลิมเปีย\nโออิชิ\nไอน์สไตน์\nฮอนด้า\nฮอปกินส์\nฮอลลีวูด\nฮอลลีวู้ด\nฮานามิ\nฮามาส\nฮิตเลอร์\nฮิตาชิ\nฮุนเซน\nฮุนเซ็น\nฮุนได\nฮุสเซ็น\nเฮนรี\nเฮนรี่\nเฮเลน\nโฮจิมินห์\nโฮปเวลล์\nโฮเมอร์\n\nกลีเซอรีน\nกำทอน\nแกนีมีด\nครอส\nคริสตัล\nคลอโรพลาสต์\nคลอไรด์\nควอนตัม\nคอนดักเตอร์\nคอปเปอร์\nคอลลาเจน\nคอเลสเตอรอล\nคอสมิก\nคูลอมบ์\nเคอราติน\nแคโรทีน\nแคสสินี\nโครมาโทกราฟี\nไคโตซาน\nจีโนม\nจุลชีววิทยา\nชิคุนกุนยา\nซัลฟิวริก\nซัลเฟต\nซัลไฟด์\nซิงค์\nซิริอุส\nซิลิกา\nซิลิเกต\nซิลิโคน\nซีเทน\nซีเวิร์ต\nเซ็กเตอร์\nเซ็กเมนต์\nเซมิ\nโซนาร์\nไซบอร์ก\nดอปเปลอร์\nดอปเพลอร์\nไดนามิก\nไดนามิกส์\nไดนามิค\nไดนามิคส์\nไดออกไซด์\nทรานส์\nทามิฟลู\nเทฟลอน\nเทสโทสเตอโรน\nเทอร์โม\nแทนนิน\nไททัน\nไทฟอยด์\nไทรอยด์\nธาลัสซีเมีย\nเนกาตีฟ\nโนวา\nบอแรกซ์\nโบทอกซ์\nโบท็อกซ์\nไบโอติน\nปฏิยานุพันธ์\nโปรเจสเตอโรน\nพอลิเมอร์\nพันธุศาสตร์\nพัลซาร์\nพาร์กินสัน\nพาราเซตามอล\nพาราโบลา\nเพอร์ออกไซด์\nโพรเจสเทอโรน\nโพลาไรซ์\nโพลิเมอร์\nโพลีเอทิลีน\nไพรเมต\nฟลาโวนอยด์\nฟลูออเรสเซนซ์\nฟลูออไรด์\nฟอสซิล\nฟิชชัน\nฟิวชัน\nฟีโรโมน\nไฟเบอร์\nมอนอกไซด์\nมิราจ\nเมตริกซ์\nเมทริกซ์\nเมลานิน\nเมลามีน\nโมเมนตัม\nไมโตคอนเดรีย\nไมโทคอนเดรีย\nยีสต์\nยูริก\nยูเรีย\nรูมาตอยด์\nวีก้า\nเวกเตอร์\nเวก้า\nเวสิเคิล\nโวลต์\nสเกล\nสเกลาร์\nสเต็ม\nสเตียรอยด์\nสปีชีส์\nสเปิร์ม\nสัมพัทธภาพ\nสุริยจักรวาล\nออกเทน\nออโรรา\nออโรร่า\nอะคริลิก\nอะครีลิก\nอะซีติก\nอะซีโตน\nอะมิโน\nอะลูมินา\nอันโดรเมดา\nอัลคาไลน์\nอัลตราซาวด์\nอัลตราซาวนด์\nอัลลอยด์\nอินทิกรัล\nอินทิเกรต\nอีโบลา\nอีโบล่า\nเอ็กซ์โพเนนเชียล\nเอทานอล\nเอทิลีน\nเอนโทรปี\nเอสเตอร์\nเอสโตรเจน\nเอสโทรเจน\nแอนดรอยด์\nแอนแทร็กซ์\nแอมพลิจูด\nแอมโมเนียม\nแอลกอฮอลิซึม\nแอสพาร์แตม\nโอเซลทามิเวียร์\nฮับเบิล\nฮิวมัส\nไฮดรอกไซด์\nไฮดรอลิก\nไฮโดรลิก\nไฮเพอร์โบลา\n\nกงเต็ก\nกฎุมพี\nกฏ\nกฏหมาย\nกบฎ\nกราไฟต์\nก๊อปปี้\nกะทะ\nกังวาล\nกุฎฐัง\nกุฏุมพี\nฃวด\nคฑา\nคลินิค\nคลีนิก\nคลีนิค\nคาทอลิค\nคึ่นฉ่าย\nแคตตาล็อก\nโควต้า\nฅน\nจุมพฎ\nช็อคโกแลต\nแซ่ด\nดัทช์\nทนง\nทรมาณ\nทราก\nทะแยง\nทิฏฐิ\nบล็อค\nบ๊องแบ๊ว\nบัลเล่ต์\nเบรค\nแบงค์\nปรากฎ\nปัคคหะ\nปาฏิโมกข์\nปิติ\nปิรามิด\nโปรเตสแตนท์\nพนิช\nพยักเพยิด\nพริ้ว\nพลูโตเนียม\nพากษ์\nเฟิร์น\nยากี้\nเยภุยยสิกา\nรุสเซีย\nฤาษี\nล็อค\nล็อคเกอร์\nวันทยาหัตถ์\nวานิช\nวิญญาน\nวิศิษฐ์\nศรีษะ\nสเปกโทรสโคป\nสฤษฎ์\nสลิ่ม\nสัตตสดก\nสาราณียากร\nสุกี้\nสุกี้ยากี้\nสูญญากาศ\nหยอมแหยม\nหยอย\nหล่ะ\nอะดรีนาลีน\nอะหลั่ย\nอัตคัต\nอัฟริกา\nอานิสงค์\nอาฟริกา\nอิริยาบท\nอิเลคโทรนิคส์\nอีรุงตุงนัง\nอุตรายัน\nอุลตรา\nอุลตร้า\nโอกาศ\n\nกกหู\nกงการ\nกงจักร\nกฎเกณฑ์\nกฎบัตร\nกฎหมาย\nกฎหมู่\nกดขี่\nกดดัน\nก้นกบ\nก้นบึ้ง\nก้นปล่อง\nกนิษฐภคินี\nกนิษฐภาดา\nกรงเล็บ\nกรมการ\nกรมท่า\nกรมธรรม์\nกรมนา\nกรมวัง\nกรรมกร\nกรรมการ\nกรรมฐาน\nกรรมบถ\nกรรมพันธุ์\nกรรมวิธี\nกรรมสิทธิ์\nกระจกเงา\nกระจกตา\nกระจกนูน\nกระจกเว้า\nกระจอกชวา\nกระจอกเทศ\nกระจ้อยร่อย\nกระจับบก\nกระจับปิ้ง\nกระจับปี่\nกระโชกโฮกฮาก\nกระดานดำ\nกระดานหก\nกระดาษแก้ว\nกระดาษไข\nกระดาษทราย\nกระดาษสา\nกระดูกงู\nกระทาชาย\nกระเท่เร่\nกระบวนการ\nกระบองเพชร\nกระผีกริ้น\nกระยาทิพย์\nกระยาสารท\nกระยาหาร\nกระสอบทราย\nกระสุนปืน\nกระแสจิต\nกระแสน้ำ\nกระแสลม\nกรับคู่\nกรับพวง\nกรับเสภา\nกราดเกรี้ยว\nกราวรูด\nกริ่งเกรง\nกรีฑาสถาน\nกรีดกราย\nกรี๊ดกร๊าด\nกลไก\nกลบท\nกลเม็ด\nกลยุทธ์\nกลวิธี\nกลศาสตร์\nกลอักษร\nกลบเกลื่อน\nกลมกล่อม\nกลมกลืน\nกลมเกลียว\nกล้วยแขก\nกล้วยไม้\nกล่องเสียง\nกล่อมเกลา\nกล่อมเกลี้ยง\nกลัดกลุ้ม\nกลัดมัน\nกลั่นกรอง\nกลั่นแกล้ง\nกลับกลอก\nกลางคน\nกลางคัน\nกลางค่ำ\nกลางคืน\nกลางแจ้ง\nกลางแปลง\nกลางวัน\nกลาดเกลื่อน\nกล่าวขวัญ\nกล่าวโทษ\nกล่าวหา\nกล้ำกราย\nกล้ำกลืน\nกลิ้งกลอก\nกลิ้งเกลือก\nกลิ่นอาย\nกลียุค\nกวดขัน\nกวัดแกว่ง\nกวัดไกว\nกวีนิพนธ์\nก่อกวน\nก่อการ\nก่อตั้ง\nก่อสร้าง\nก่อหวอด\nก้อร่อก้อติก\nกองกลาง\nกองเกิน\nกองโจร\nกองทัพ\nกองทุน\nกองพล\nกองพัน\nกองฟอน\nกองร้อย\nกองหนุน\nกอบโกย\nกะเกณฑ์\nกะบังลม\nกักกัน\nกักขัง\nกักตัว\nกักตุน\nกัณฑ์เทศน์\nกัดฟัน\nกันชน\nกันท่า\nกันสาด\nกันเอง\nกับแกล้ม\nกับข้าว\nกับระเบิด\nกากเพชร\nกากหมู\nกาชาด\nกาญจนาภิเษก\nก้านคอ\nกาฝาก\nก้ามกราม\nกามกิจ\nกามคุณ\nกามเทพ\nกามโรค\nก้ามปู\nกายกรรม\nกายบริหาร\nกายภาพ\nกายวิภาค\nกายสิทธิ์\nก่ายกอง\nการคลัง\nการเงิน\nการบ้าน\nการเปรียญ\nการเมือง\nการเรือน\nการละเล่น\nกาลกิริยา\nกาลเทศะ\nก้าวก่าย\nก้าวร้าว\nก้าวหน้า\nกาสาวพัสตร์\nกาฬพฤกษ์\nกาฬโรค\nกำปั้น\nกำมือ\nกำแพงขาว\nกำลังใจ\nกำลังม้า\nกี่งอำเภอ\nกิจกรรม\nกิจการ\nกิจวัตร\nกิจจะลักษณะ\nกิตติคุณ\nกิตติศัพท์\nกินขาด\nกินใจ\nกินดอง\nกินโต๊ะ\nกินแบ่ง\nกินเปล่า\nกินเลี้ยง\nกินเส้น\nกินแหนง\nกิโลกรัม\nกิโลเมตร\nกิโลลิตร\nกิโลเฮิรตซ์\nกีดกัน\nกีดกั้น\nกีดขวาง\nกึกก้อง\nกึกกัก\nกึกกือ\nกึ่งกลาง\nกุกกัก\nกุ๊กกิ๊ก\nกุ้งฝอย\nกุ้งมังกร\nกุ้งแห้ง\nกุ้งเต้น\nกุ้งยิง\nกุญแจผี\nกุญแจมือ\nกุญแจเลื่อน\nกุญแจเสียง\nกุลธิดา\nกุลบุตร\nกุลสตรี\nกู้ยืม\nเก้งก้าง\nเก็บกวาด\nเก็บเกี่ยว\nเก็บงำ\nเก็บตก\nเกรงกลัว\nเกรงใจ\nเกรงขาม\nเกรียงไกร\nเกรียมกรม\nเกรี้ยวกราด\nเกล็ดเลือด\nเกลี้ยกล่อม\nเกลี้ยงเกลา\nเกลือกกลั้ว\nเกลือกกลิ้ง\nเกลื่อนกล่น\nเกลื่อนกลาด\nเกศธาตุ\nเกษตรกร\nเกษตรกรรม\nเกษตรศาสตร์\nเกษมสันต์\nเกษียรสมุทร\nเก้อเขิน\nเกาะแกะ\nเกี่ยงงอน\nเกียจคร้าน\nเกียรติคุณ\nเกียรตินิยม\nเกียรติประวัติ\nเกียรติภูมิ\nเกียรติยศ\nเกียรติศักดิ์\nเกียรติมุข\nเกี่ยวข้อง\nเกี่ยวดอง\nเกี่ยวพัน\nเกี่ยวโยง\nเกี้ยวพาน\nเกี้ยวพาราสี\nแก่แดด\nแก้ขัด\nแก้ไข\nแก้ตัว\nแก้เผ็ด\nแก้ลำ\nแกงคั่ว\nแกงจืด\nแกงบวด\nแกงป่า\nแกงเผ็ด\nแกงส้ม\nแก่งแย่ง\nแก่นแก้ว\nแก่นสาร\nแก้วตา\nแก้วหู\nแกว่งกวัด\nแกว่งไกว\nแกะรอย\nโก้เก๋\nโกรธเกรี้ยว\nโกรธขึ้ง\nไก่เขี่ย\nไก่ชน\nไก่บ้าน\nไก่ป่า\nไก่ฟ้า\nไกล่เกลี่ย\nขจัดขจาย\nขนเพชร\nขนสัตว์\nขนหนู\nขนส่ง\nขนมจีน\nขบขัน\nขบวนการ\nข่มขี่\nข่มขู่\nข่มขืน\nข่มเหง\nขมหิน\nขมิ้นชัน\nขมุบขมิบ\nขยะแขยง\nขยักขย่อน\nขยักขย้อน\nขยับขยาย\nขยับเขยื้อน\nขวดโหล\nขวยเขิน\nขวัญใจ\nขวัญตา\nขวัญอ่อน\nขวากหนาม\nขวางโลก\nของ้าว\nขอสับ\nขอขมา\nขอทาน\nขอโทษ\nขอร้อง\nขออภัย\nข้อเขียน\nข้อความ\nข้อเท็จจริง\nของกลาง\nของขวัญ\nของแข็ง\nของชำ\nของลับ\nของเล่น\nของว่าง\nของเหลว\nของไหล\nของไหว้\nข้องใจ\nข้องแวะ\nขอบข่าย\nขอบเขต\nขอบคุณ\nขอบใจ\nขอบพระคุณ\nข้อมูล\nข้อแม้\nข้อหา\nข้อสังเกต\nขัดข้อง\nขัดขืน\nขัดเขิน\nขัดจังหวะ\nขัดดอก\nขัดแตะ\nขัดยอก\nขัดแย้ง\nขัดสมาธิ\nขันหมาก\nขันอาสา\nขับขี่\nขับเคี่ยว\nขั้วโลก\nขาจร\nขาประจำ\nข้าราชการ\nข้าศึก\nข้าหลวง\nขาดแคลน\nขาดใจ\nขาดตอน\nขาดตัว\nขาดทุน\nขาดเหลือ\nขายหน้า\nข่าวกรอง\nข่าวคราว\nข่าวล่า\nข่าวลือ\nข่าวสาร\nข้าวเกรียบ\nข้าวแกง\nข้าวของ\nข้าวจี่\nข้าวเจ้า\nข้าวซอย\nข้าวต้ม\nข้าวตอก\nข้าวตัง\nข้าวแตน\nข้าวทิพย์\nข้าวบิณฑ์\nข้าวเปลือก\nข้าวโพด\nข้าวฟ่าง\nข้าวเม่า\nข้าวสวย\nข้าวสาร\nข้าวเหนียว\nข้าวหมาก\nข้าวหลาม\nขี้เกียจ\nขี้ข้า\nขี้ครอก\nขี้คร้าน\nขี้คุก\nขี้ไคล\nขี้เซา\nขีดขั้น\nขีดคร่อม\nขีดคั่น\nขีดฆ่า\nขี้ตา\nขี้ตืด\nขี้เถ้า\nขี้ทูด\nขี้ปะติ๋ว\nขี้ผึ้ง\nขี้มูก\nขี้ยา\nขี้แย\nขี้ริ้ว\nขี้เรื้อน\nขี้เล็บ\nขี้หู\nขี้หน้า\nขี้เหนียว\nขี้เหล็ก\nขี้เหร่\nขึงขัง\nขึงพืด\nขึ้งโกรธ\nขึ้นใจ\nขึ้นชื่อ\nขึ้นมือ\nขืนใจ\nขื่นขม\nขุดคุ้ย\nขุนทอง\nขุนนาง\nขุนพล\nขุนศึก\nขุนหลวง\nขูดรีด\nเข็มกลัด\nเข็มขัด\nเข้มข้น\nเข้มแข็ง\nเข้มงวด\nเข็มทิศ\nเข็มหมุด\nเข้าขา\nเข้าเค้า\nเข้าใจ\nเข้าชื่อ\nเข้าตัว\nเข้าถึง\nเข้าทรง\nเข้าท่า\nเข้าที\nเข้าเนื้อ\nเข้าเล่ม\nเขียวเสวย\nเขียวหวาน\nแขกเต้า\nแข็งกร้าว\nแข็งกล้า\nแข็งแกร่ง\nแข็งข้อ\nแข็งขัน\nแข่งขัน\nแข็งใจ\nแข็งตัว\nแข็งเมือง\nแข็งแรง\nแขวนลอย\nโขกสับ\nโขยกเขยก\nไขข้อ\nไขควง\nไขมัน\nไข่มุก\nไขว่ห้าง\nไขสันหลัง\nไขสือ\nไข่เค็ม\nไข่เยี่ยวม้า\nไข่หงส์\nไข่เหี้ย\nคงกระพัน\nคงตัว\nคงทน\nคงที่\nคชลักษณ์\nคชสาร\nคชสีห์\nคชราช\nคณิตศาสตร์\nคดเคี้ยว\nคติธรรม\nคติพจน์\nคนกลาง\nคนไข้\nคนใช้\nคนทรง\nคบไฟ\nคบเพลิง\nคบค้า\nคบคิด\nคบหา\nคมคาย\nครบครัน\nครบถ้วน\nครอบครอง\nครอบคลุม\nครอบครัว\nครอบงำ\nครอบจักรวาล\nคริสตกาล\nคริสตจักร\nคริสต์มาส\nคริสต์ศตวรรษ\nคริสต์ศักราช\nคริสตัง\nคริสเตียน\nครุกรรม\nครุภัณฑ์\nครุศาสตร์\nครุฑพ่าห์\nครุ่นคิด\nคลอเคลีย\nคล่องแคล่ว\nคล่องตัว\nคล่องมือ\nคลั่งไคล้\nคลาคล่ำ\nคลาไคล\nคลาดเคลื่อน\nคลาดแคล้ว\nคลี่คลาย\nคลึงเคล้น\nคลึงเคล้า\nคลื่นไส้\nคลื่นเหียน\nคลุกคลี\nคลุกคลาน\nคลุมเครือ\nคลุมโปง\nคลุ้มคลั่ง\nควงสว่าน\nควบคุม\nควบคู่\nควบแน่น\nควันหลง\nความคิด\nความหลัง\nความเห็น\nคอหอย\nคอห่าน\nคอแห้ง\nค่อนขอด\nค่อนแคะ\nค้อนควัก\nคั่งค้าง\nคั่งแค้น\nคัดค้าน\nคัดง้าง\nคัดท้าย\nคัดเลือก\nคันจาม\nคันฉ่อง\nคันฉาย\nคันชัก\nคันชั่ง\nคันไถ\nคันนา\nคันเร่ง\nคับขัน\nคับคั่ง\nคับแค้น\nคับแคบ\nคางทูม\nคางหมู\nค้างคืน\nค้างปี\nคาดคั้น\nคาดเชือก\nคาดโทษ\nคาดหมาย\nคานหาม\nคาบเกี่ยว\nคาบศิลา\nคาบสมุทร\nคำขาด\nคำนำ\nคิดค้น\nคืนดี\nคืนตัว\nคุกเข่า\nคุณค่า\nคุณชาย\nคุณธรรม\nคุณนาย\nคุณภาพ\nคุณลักษณะ\nคุณวุฒิ\nคุณศัพท์\nคุณสมบัติ\nคุณหญิง\nคุณากร\nคุณูปการ\nคุโณปการ\nคุมเชิง\nคุ้มกัน\nคุยเขื่อง\nคุยโต\nคุ้ยเขี่ย\nคุ้มครอง\nคู่กรณี\nคู่กัด\nคู่ขา\nคู่แข่ง\nคู่ครอง\nคู่ควร\nคู่คิด\nคู่คี่\nคู่ใจ\nคู่ชีพ\nคู่ชีวิต\nคู่บารมี\nคู่บุญ\nคู่ปรปักษ์\nคู่ปรับ\nคู่ผสม\nคู่มือ\nคู่รัก\nคู่ลำดับ\nคู่สาย\nคู่หมั้น\nคู่หู\nคู่อริ\nคู่อาฆาต\nเคมีภัณฑ์\nเคยตัว\nเคร่งขรึม\nเคร่งครัด\nเคร่งเครียด\nเครดิตฟองซิเอร์\nเครื่องกล\nเครื่องกัณฑ์\nเครื่องแกง\nเครื่องเขิน\nเครื่องครัว\nเครื่องเคียง\nเครื่องเงิน\nเครื่องจักร\nเครื่องเซ่น\nเครื่องดนตรี\nเครื่องต้น\nเครื่องทุ่นแรง\nเครื่องเทศ\nเครื่องใน\nเครื่องบิน\nเครื่องบูชา\nเครื่องแบบ\nเครื่องประดับ\nเครื่องปรุง\nเครื่องปรุงรส\nเครื่องมือ\nเครื่องยนต์\nเครื่องร่อน\nเครื่องราง\nเครื่องเรือน\nเครื่องล่าง\nเครื่องเล่น\nเครื่องสาย\nเครื่องสำอาง\nเครื่องสุกำศพ\nเครื่องหมาย\nเครือรัฐ\nเคลียคลอ\nเคลื่อนที่\nเคลื่อนไหว\nเคลือบแคลง\nเคลือบแฝง\nเคลือบฟัน\nเคว้งคว้าง\nเคหสถาน\nเค้าโครง\nเคียดแค้น\nเคี่ยวเข็ญ\nเคี้ยวเอื้อง\nเคืองขุ่น\nโคนม\nโคบาล\nโคมูตร\nโคมลอย\nโครงการ\nโครงเรื่อง\nโครงงาน\nโครงสร้าง\nโครมคราม\nโคลงเคลง\nฆ้องกระแต\nฆ้องชัย\nฆ้องวง\nฆ้องหุ่ย\nฆ้องเหม่ง\nฆ้องโหม่ง\nฆาตกร\nฆาตกรรม\nฆานประสาท\nงงงวย\nงงงัน\nงดเว้น\nงบดุล\nงบประมาณ\nงมโข่ง\nงมงาย\nง่วงงุน\nง่วงเหงา\nงอหาย\nง้องอน\nงอนง้อ\nงอมแงม\nงาช้าง\nง่าเงย\nงานการ\nง่ายดาย\nงึมงำ\nเงินเดือน\nเงินตรา\nเงินยวง\nเงียบกริบ\nเงียบเชียบ\nเงียบเหงา\nเงื่องหงอย\nเงื่อนไข\nเงื่อนงำ\nเงื่อนเวลา\nเงื้อมมือ\nแง่งอน\nจงใจ\nจงรัก\nจดจ่อ\nจดจำ\nจดหมาย\nจดหมายเหตุ\nจรจัด\nจรรยาบรรณ\nจริงจัง\nจริงใจ\nจอมขวัญ\nจอมใจ\nจอมทัพ\nจอมปลวก\nจอมพล\nจ๊ะเอ๋\nจักสาน\nจักรพรรดิ\nจักรภพ\nจักรยาน\nจักรยานยนต์\nจักรราศี\nจักรวรรดิ\nจักรวรรดินิยม\nจักรวาล\nจังหนับ\nจัดการ\nจัดจ้าน\nจัดเจน\nจัดแจง\nจัดตั้ง\nจัดสรร\nจับกุม\nจับจด\nจับเจ่า\nจ่าหน้า\nจาตุทสี\nจาตุมหาราช\nจาตุมหาราชิก\nจาตุมหาราชิกา\nจาตุรงคสันนิบาต\nจาตุรราชการ\nจานเชิง\nจานบิน\nจานผี\nจานเสียง\nจาบจ้วง\nจำเป็น\nจำพรรษา\nจำวัด\nจ้ำจี้จ้ำไช\nจำเลาะตา\nจิงโจ้น้ำ\nจิตใจ\nจิตตภาวนา\nจิตตัง\nจิตตานุปัสสนา\nจิตนิยม\nจิตบำบัด\nจิตแพทย์\nจิตวิสัย\nจิตรกร\nจิตรกรรม\nจิตรลดา\nจิตวิทยา\nจิตเวช\nจิตเวชศาสตร์\nจินตกวี\nจินตนา\nจินตนาการ\nจินตภาพ\nจุฑามณี\nจุฑามาศ\nจุฑารัตน์\nจุนเจือ\nจุ้นจ้าน\nจุลชีพ\nจุลชีวัน\nจุลชีวิน\nจุลทรรศน์\nจุลภาค\nจุลวรรค\nจุลศักราช\nจุลสาร\nจุลินทรีย์\nจุฬามณี\nจุฬาลักษณ์\nเจตคติ\nเจตจำนง\nเจตนารมณ์\nเจตภูต\nเจริญพร\nเจ้ากรม\nเจ้ากรรม\nเจ้าของ\nเจ้าขา\nเจ้าข้า\nเจ้าคณะ\nเจ้าค่ะ\nเจ้าจอม\nเจ้าชู้\nเจ้าตัว\nเจ้าถิ่น\nเจ้าท่า\nเจ้าที่\nเจ้าทุกข์\nเจ้านาย\nเจ้าเนื้อ\nเจ้าบ้าน\nเจ้าบ่าว\nเจ้าประคุณ\nเจ้าประคู้น\nเจ้าพนักงาน\nเจ้าพระคุณ\nเจ้าพระยา\nเจ้าพ่อ\nเจ้าพายุ\nเจ้าฟ้า\nเจ้าภาพ\nเจ้ามือ\nเจ้าแม่\nเจ้าเรือน\nเจ้าสังกัด\nเจ้าสัว\nเจ้าสาว\nเจ้าหน้าที่\nเจ้าหนี้\nเจ้าอาวาส\nเจาะจง\nเจือจาง\nเจือจาน\nเจือปน\nเจื้อยแจ้ว\nแจกจ่าย\nแจ่มแจ้ง\nแจ่มใส\nโจงกระเบน\nโจมตี\nโจรกรรม\nโจรสลัด\nใจความ\nใจคอ\nฉกฉวย\nฉกชิง\nฉลองได\nฉ้อฉล\nฉัตรมงคล\nฉันทลักษณ์\nฉายาลักษณ์\nฉิบหาย\nฉุกเฉิน\nฉุกละหุก\nฉุนเฉียว\nฉุปศาสตร์\nเฉไฉ\nเฉยเมย\nเฉาโฉด\nเฉิดฉัน\nเฉิดฉาย\nเฉิดฉิน\nเฉียบขาด\nเฉียบพลัน\nเฉียบแหลม\nเฉื่อยชา\nแฉะแบะ\nโฉดเฉา\nโฉมงาม\nโฉมฉาย\nโฉมเฉลา\nโฉมตรู\nโฉมยง\nโฉมศรี\nโฉมหน้า\nชดช้อย\nชดเชย\nชดใช้\nชนบท\nชนินทร์\nชนกกรรม\nชนมพรรษา\nชนมายุ\nชมเชย\nชมพูทวีป\nชมพูนท\nชมพูนุท\nชราธรรม\nชราภาพ\nชลจร\nชลธาร\nชลธี\nชลนัยน์\nชลนา\nชลเนตร\nชลประทาน\nชลมารค\nชลาธาร\nชลาลัย\nชลาศัย\nชลาสินธุ์\nชโลทร\nช่วงชิง\nช่วงใช้\nชวนชม\nชวนหัว\nช่วยเหลือ\nช่อฟ้า\nช่อม่วง\nชอกช้ำ\nช่องเขา\nช่องแคบ\nช่องไฟ\nช่องว่าง\nช้องนาง\nชอบกล\nชอบใจ\nชอบธรรม\nชอบพอ\nชักโครก\nชักเงา\nชักจูง\nชักชวน\nชักนำ\nชักเนื้อ\nชักพระ\nชักเย่อ\nชักใย\nชั่งใจ\nชังฆวิหาร\nชัดเจน\nชั้นเชิง\nชั่วคน\nชั่วคราว\nชั่วช้า\nชั่วโมง\nชั่วแล่น\nชาเย็น\nช้านาน\nช่างเครื่อง\nช่างฝีมือ\nช่างฟิต\nช่างไฟ\nช้างน้ำ\nช้างเผือก\nช้างพลาย\nช้างพัง\nช้างสาร\nช้างสีดอ\nชาติธรรม\nชาตินิยม\nชาติพันธุ์\nชาติพันธุ์วิทยา\nชาติภูมิ\nชานชาลา\nชายชาตรี\nชายคา\nชายฝั่ง\nชายทะเล\nชาวเล\nชาววัง\nช้ำใจ\nช้ำชอก\nชิงชัง\nชิงพลบ\nชินชา\nชินบุตร\nชิ้นเอก\nชิมลาง\nชีเปลือย\nชี้ขาด\nชี้แจง\nชี้นำ\nชี้แนะ\nชี้ฟ้า\nชีพจร\nชีพิตักษัย\nชื่นชม\nชื่นบาน\nชื่นมื่น\nชื่อย่อ\nชื่อรอง\nชื่อเล่น\nชื่อเสียง\nชุกชุม\nชุติมา\nชุบตัว\nชุบเลี้ยง\nชุมชน\nชุมทาง\nชุมสาย\nชุ่มใจ\nชุ่มชื่น\nชุ่มชื้น\nชุมนุมชน\nชูชีพ\nชูโรง\nชู้สาว\nเชยชม\nเชลยศักดิ์\nเชลยศึก\nเช่าซื้อ\nเช้าตรู่\nเช้ามืด\nเชิงกราน\nเชิงกล\nเชิงชั้น\nเชิงชาย\nเชิงซ้อน\nเชิงเดียว\nเชิงเดี่ยว\nเชิงตะกอน\nเชิงเทิน\nเชิงมุม\nเชิดชู\nเชิงอรรถ\nเชี่ยนหมาก\nเชี่ยวชาญ\nเชื่องช้า\nเชื่อใจ\nเชื่อถือ\nเชื่อฟัง\nเชื่อมือ\nเชื้อชาติ\nเชื้อเพลิง\nเชื้อไฟ\nเชื้อโรค\nเชื้อสาย\nเชื้อเชิญ\nเชื่องช้า\nเชือนแช\nเชื่อวัน\nแช่เย็น\nแช่อิ่ม\nแช่มช้อย\nแช่มชื่น\nโชกโชน\nโชติช่วง\nโชติรส\nใช้สอย\nซบเซา\nซมซาน\nซวนเซ\nซอกซอน\nซอกแซก\nซ่องสุม\nซ่องเสพ\nซ่องแซ่ง\nซ่อนรูป\nซ่อนเร้น\nซ่อนหา\nซ่อนกลิ่น\nซ่อนทราย\nซ่อมแซม\nซักค้าน\nซักซ้อม\nซักไซ้\nซักฟอก\nซักแห้ง\nซังกะตาย\nซังตาย\nซัดเซ\nซัดทอด\nซับซ้อน\nซับใน\nซับพระพักตร์\nซากศพ\nซ่านเซ็น\nซ้ำซ้อน\nซ้ำซาก\nซ้ำเติม\nซ้ำร้าย\nซี่โครง\nซีดเซียว\nซึมกะทือ\nซึมซาบ\nซึมเซา\nซึมทราบ\nซึมเศร้า\nซื่อตรง\nซื่อสัตย์\nซื้อขาย\nซุกซน\nซุกซ่อน\nซุบซิบ\nซู่ซ่า\nเซซัง\nเซ่อซ่า\nแซ่ซ้อง\nโซดาไฟ\nญาณทัสนะ\nญาณวิทยา\nญาณศาสตร์\nญาติกา\nฐานราก\nดกดื่น\nดงดิบ\nดลใจ\nดลบันดาล\nดวงแก้ว\nดวงใจ\nดวงเดือน\nดวงตรา\nดวงตา\nดวงสมร\nดอกจัน\nดอกจิก\nดอกบัว\nดอกเบี้ย\nดอกฟ้า\nดอกไม้\nดอกยาง\nดอกเล็บ\nดอกทอง\nดอกสร้อย\nดองยา\nดักคอ\nดักฟัง\nดังนั้น\nดังนี้\nดังหนึ่ง\nดั้งเดิม\nดัดจริต\nดัดแปลง\nดันทุรัง\nดับขันธ์\nดับจิต\nดับชีพ\nด่าทอ\nด่างทับทิม\nด่างพร้อย\nดาดฟ้า\nดาราศาสตร์\nดาลเดือด\nดาวกระจาย\nดาวเคราะห์\nดาวตก\nดาวเทียม\nดาวรุ่ง\nดาวเรือง\nดาวฤกษ์\nดาวหาง\nดาวเหนือ\nดาษดื่น\nดินขาว\nดินดาน\nดินดำ\nดินประสิว\nดินปืน\nดินระเบิด\nดินสอ\nดินสอพอง\nดิ้นรน\nดิบดี\nดีเกลือ\nดีใจ\nดีซ่าน\nดีดัก\nดีเดือด\nดีฝ่อ\nดีดดิ้น\nดึกดำบรรพ์\nดึกดื่น\nดึงดัน\nดึงดูด\nดื่มด่ำ\nดื้อด้าน\nดื้อดึง\nดื้อแพ่ง\nดื้อยา\nดื้อรั้น\nดุดัน\nดุเดือด\nดุร้าย\nดุลการค้า\nดุลพินิจ\nดุลภาค\nดุลยพินิจ\nดุลยภาพ\nดุษฎีนิพนธ์\nดุษฎีบัณฑิต\nดุษณีภาพ\nดูแคลน\nดูถูก\nดูดาย\nดูเบา\nดูแล\nดูหมิ่น\nดูเหมือน\nดูดดื่ม\nเด็ดขาด\nเด็ดดวง\nเด็ดเดี่ยว\nเดนตาย\nเดาสวด\nเดาสุ่ม\nเดินทาง\nเดินสะพัด\nเดินสาย\nเดินเหิน\nเดิมพัน\nเดียงสา\nเดียดฉันท์\nเดียวกัน\nเดียวดาย\nเดี๋ยวเดียว\nเดี๋ยวนี้\nเดือดดาล\nเดือดร้อน\nเดือนมืด\nเดือนหงาย\nแดดาล\nแดดิ้น\nแดกดัน\nโด่เด่\nโด่งดัง\nโดดเดี่ยว\nโดยสาร\nได้การ\nได้แก่\nได้ใจ\nได้ที\nได้ยิน\nได้เสีย\nตกเขียว\nตกค้าง\nตกใจ\nตกต่ำ\nตกแต่ง\nตกทอด\nตกฟาก\nตกมัน\nตกยาก\nตกลง\nตกหล่น\nต้นขั้ว\nต้นคิด\nต้นฉบับ\nต้นตอ\nต้นตำรับ\nต้นทุน\nต้นแบบ\nต้นเพลิง\nต้นมือ\nต้นไม้\nต้นร่าง\nต้นเรื่อง\nต้นสังกัด\nต้นหน\nต้นเหตุ\nตบตา\nตบแต่ง\nตบแผละ\nตบมือ\nต้มข่า\nต้มโคล้ง\nต้มยำ\nต้มส้ม\nตรมตรอม\nตรรกวิทยา\nตรรกศาสตร์\nตรวจการ\nตรวจการณ์\nตรวจตรา\nตระบัดสัตย์\nตรัสรู้\nตราตั้ง\nตราบาป\nตรายาง\nตราสาร\nตริตรอง\nตรีกฏุก\nตรีกาย\nตรีโกณ\nตรีโกณมิติ\nตรีคูณ\nตรีทูต\nตรีปิฎก\nตรีภพ\nตรีมูรติ\nตรึกตรอง\nตรึงตรา\nตรุษจีน\nตฤณชาติ\nตฤณมัย\nตลกบาตร\nตลบตะแลง\nตลบหลัง\nตลาดนัด\nตลาดน้ำ\nตลาดมืด\nตลาดสด\nต่อตี\nต่อเติม\nต่อว่า\nต่อสู้\nต่อกร\nต่อต้าน\nต่อแย้ง\nต้องการ\nต้องโทษ\nต้องหา\nต้อนรับ\nตอบโต้\nตอบแทน\nต่อยหอย\nตะพาบน้ำ\nตักตวง\nตักบาตร\nตั้งเข็ม\nตั้งไข่\nตั้งเค้า\nตั้งแง่\nตั้งใจ\nตั้งต้น\nตั้งแต่\nตั้งท้อง\nตัดขาด\nตัดใจ\nตัดเชือก\nตัดตอน\nตัดทอน\nตัดบท\nตัดพ้อ\nตัดรอน\nตัดสิน\nตับเต่า\nตับแลบ\nตับอ่อน\nตัวกลาง\nตัวการ\nตัวเก็ง\nตัวดี\nตัวตั้ง\nตัวเต็ง\nตัวถัง\nตัวแทน\nตัวประกอบ\nตัวประกัน\nตัวแปร\nตัวผู้\nตัวพิมพ์\nตัวเมีย\nตัวยืน\nตัวเลข\nตัวอย่าง\nตั๋วเงิน\nตั๋วแลกเงิน\nตากล้อง\nตาไก่\nตาข่าย\nตาชั่ง\nตาตุ่ม\nตาทวด\nตาปลา\nตาราง\nต่างหาก\nต้านทาน\nตามใจ\nตายใจ\nตายซาก\nตายด้าน\nตายตัว\nตายทั้งกลม\nตายห่า\nตายโหง\nตาลปัตร\nต่ำช้า\nต่ำต้อย\nตำส้ม\nติเตียน\nติณชาติ\nติดขัด\nติดใจ\nติดต่อ\nติดตั้ง\nติดตาม\nติดตื้น\nติดพัน\nติดลม\nติดอ่าง\nตีเกลียว\nตีขลุม\nตีความ\nตีคู่\nตีจาก\nตีตื้น\nตีแผ่\nตีรวน\nตีลังกา\nตีวง\nตีเสมอ\nตีนกา\nตีนคู้\nตีนจก\nตีนตะขาบ\nตีนผี\nตีนเหยียด\nตึกแถว\nตึกระฟ้า\nตึงเครียด\nตึงตัง\nตื้นตัน\nตื่นตัว\nตื่นตูม\nตื่นเต้น\nตุ๊ต๊ะ\nตุ้บตั้บ\nตุ้มหู\nตุลาการ\nตุลาคม\nตู้นิรภัย\nตูมตาม\nตู้เสบียง\nเตโชธาตุ\nเตร็ดเตร่\nเต้นรำ\nเตาแก๊ส\nเตาผิง\nเตาฟู่\nเตาไฟ\nเตารีด\nเตาสูบ\nเต่าทอง\nเต้ารับ\nเต้าส่วน\nเต้าเสียบ\nเต้าหู้ยี้\nแต่ละ\nแตกคอ\nแตกคอก\nแตกฉาน\nแตกดับ\nแตกตื่น\nแตกพาน\nแตกแยก\nแตกร้าว\nแตกหัก\nแต่งงาน\nแต่งตั้ง\nแต้มคู\nแต้มต่อ\nแตรงอน\nแตรเดี่ยว\nแตรฝรั่ง\nแตรฟันฟาร์\nแตรวง\nโต้ตอบ\nโต้เถียง\nโต้แย้ง\nโต๊ะหมู่\nโต๊ะอิหม่าม\nใต้ถุน\nไต้ก๋ง\nไต่คู้\nไต่เต้า\nไต่ถาม\nไต้ฝุ่น\nไตรจักร\nไตรจีวร\nไตรตรึงษ์\nไตรทวาร\nไตรปิฎก\nไตรเพท\nไตรภพ\nไตรภูมิ\nไตรภาคี\nไตรยางศ์\nไตรรงค์\nไตรรัตน์\nไตรลักษณ์\nไตรโลก\nไตรสรณคมน์\nไตรสิกขา\nไต่สวน\nถกเถียง\nถดถอย\nถนัดถนี่\nถนิมสร้อย\nถมถืด\nถมเถ\nถมไป\nถลากไถล\nถ้วนถี่\nถ้วยฟู\nถ่องแท้\nถอดถอน\nถ้อยคำ\nถ้อยแถลง\nถากถาง\nถ่านไฟฉาย\nถ่านหิน\nถามไถ่\nถ่ายทอด\nถ่ายทุกข์\nถ่ายเท\nถาวรวัตถุ\nถ้ำมอง\nถี่ถ้วน\nถึงใจ\nถูกใจ\nถูกชะตา\nเถรวาท\nเถ้าแก่\nเถ้าแก่เนี้ย\nแถมพก\nแถลงการณ์\nไถ่ถอน\nไถ่ถาม\nทดแทน\nทดรอง\nทดลอง\nทดสอบ\nทนทาน\nทนายความ\nทบทวน\nทแยงมุม\nทรงกลด\nทรงเครื่อง\nทรงเจ้า\nทรัพย์สิน\nทรามชม\nทรามเชย\nทรามวัย\nทรามสงวน\nทรามสวาท\nทรุดโทรม\nทฤษฎีบท\nท้วงติง\nท่วมท้น\nทวาทศ\nทวาทศมาส\nทวาบรยุค\nทวารบาล\nทวิบถ\nทวิบท\nทวิบาท\nทวิภาค\nทวิภาคี\nทวีคูณ\nทศกัณฐ์\nทศชาติ\nทศทิศ\nทศนิยม\nทศพร\nทศพล\nทศพิธราชธรรม\nทศมาส\nทศวรรษ\nท่อไอเสีย\nท้อถอย\nท้อแท้\nทองขาว\nทองคำ\nทองคำขาว\nทองคำเปลว\nทองเค\nทองแดง\nทองบรอนซ์\nทองม้วน\nทองย้อย\nทองสัมฤทธิ์\nทองหยอด\nทองหยิบ\nทองเหลือง\nทองเอก\nท่องเที่ยว\nท้องตรา\nท้องถิ่น\nท้องที่\nท้องน้อย\nท้องร่อง\nท้องเรื่อง\nทอดมัน\nทอดทิ้ง\nทอดน่อง\nทอดยอด\nทอดหุ่ย\nทอยกอง\nทะเบียนบ้าน\nทะเลทราย\nทะเลสาบ\nทะเลหลวง\nทักขิณาวัฏ\nทักท้วง\nทักทาย\nทักษิณาวรรต\nทักษิณาทาน\nทักษิณานุประทาน\nทั้งกลม\nทั้งคน\nทั้งดุ้น\nทั้งที\nทั้งนั้น\nทั้งนี้\nทั้งปวง\nทั้งผอง\nทั้งเพ\nทั้งมวล\nทั้งสิ้น\nทั้งหมด\nทั้งหลาย\nทัณฑ์บน\nทัดทาน\nทัดเทียม\nทันควัน\nทันใจ\nทันใด\nทันตา\nทันสมัย\nทันที\nทับถม\nทับทรวง\nทับศัพท์\nทั่วถึง\nทั่วไป\nท่าทาง\nท่าที\nท้าทาย\nทางการ\nทางข้าม\nทางด่วน\nทางเท้า\nทางโท\nทางใน\nทางผ่าน\nทางม้าลาย\nทางหลวง\nทางออก\nทางเอก\nทานกัณฑ์\nทานตะวัน\nท่านชาย\nทานบารมี\nท่านผู้หญิง\nท่านหญิง\nทาบทาม\nท้ายทอย\nทารุณกรรม\nทำคลอด\nทำใจ\nทำซ้ำ\nทำท่า\nทำที\nทำแท้ง\nทำโทษ\nทำบาป\nทำบุญ\nทำพิษ\nทำฟัน\nทำร้าย\nทำวัตร\nทำสาว\nทำเสน่ห์\nทำหมัน\nทำให้\nทิ้งขว้าง\nทิ้งทวน\nทิ้งท้าย\nทินกร\nทิพจักขุ\nทิพโสต\nทิพยจักษุ\nทิพยญาณ\nทิพยเนตร\nทิพยรส\nทิพากร\nทิ่มตำ\nทิ่มแทง\nทิวากร\nทิวากาล\nทิศทาง\nทีเด็ด\nทีท่า\nทีนี้\nทีหลัง\nทีฆนิกาย\nทีฆสระ\nที่ดิน\nที่นอน\nที่นั่ง\nที่ปรึกษา\nที่พึ่ง\nที่มั่น\nที่ราบ\nที่ว่าการ\nที่สุด\nที่หมาย\nที่ไหน\nทุกที\nทุกเมื่อ\nทุกข์สุข\nทุนทรัพย์\nทุนนิยม\nทุนรอน\nทุนสำรอง\nทุ่มเถียง\nทุ่มเท\nทูนหัว\nทูลกระหม่อม\nเทกระจาด\nเทครัว\nเทพเจ้า\nเทพดา\nเทพธิดา\nเทพนม\nเทพนิยม\nเทพนิยาย\nเทพบุตร\nเทพสังหรณ์\nเทศกาล\nเทศนาโวหาร\nเทศบัญญัติ\nเทศบาล\nเทศมนตรี\nเทห์ฟากฟ้า\nเท่ากับ\nเท่าใด\nเท่าตัว\nเท่าทัน\nเท่าทุน\nเท่าเทียม\nเท่านั้น\nเท่าไร\nเท้าช้าง\nเทิดทูน\nเที่ยงตรง\nเที่ยงแท้\nเที่ยงธรรม\nเทียนชนวน\nเทียนพรรษา\nเทียบเคียง\nเทียบเท่า\nเทือกเขา\nเทือกเถา\nแท็งก์น้ำ\nแท่นพิมพ์\nแท่นมณฑล\nแท่นหมึก\nแทรกซอน\nแทรกซ้อน\nแทรกซึม\nแทรกแซง\nแทะโลม\nไทยดำ\nไทยทาน\nไทยธรรม\nไทยน้อย\nไทยใหญ่\nธงชัย\nธงชาติ\nธงทิว\nธรณีวิทยา\nธรณีสงฆ์\nธรรมกาย\nธรรมการ\nธรรมเกษตร\nธรรมขันธ์\nธรรมคุณ\nธรรมจรรยา\nธรรมจริยา\nธรรมจักร\nธรรมจักษุ\nธรรมจาคะ\nธรรมจารี\nธรรมชาติ\nธรรมดา\nธรรมเนียม\nธรรมราชา\nธรรมศาสตร์\nธรรมสภา\nธรรมสังเวช\nธัญพืช\nธารพระกร\nธีรภาพ\nธีรราช\nนกเขา\nนกต่อ\nนกยูง\nนกรู้\nนกหวีด\nนครบาล\nนครรัฐ\nนงคราญ\nนงนุช\nนงพะงา\nนงเยาว์\nนงราม\nนงลักษณ์\nนบนอบ\nนพเก้า\nนพคุณ\nนพเคราะห์\nนพปฎล\nนพพล\nนพรัตน์\nนพศก\nนพศูล\nนมข้น\nนมผง\nนมไม้\nนมนาน\nนมหนู\nนมแมว\nนรีเวช\nนรีเวชวิทยา\nนวดฟั้น\nนวยนาด\nนวลระหง\nนวลลออ\nนวลละออง\nนวลจันทร์\nนอกครู\nนอกคอก\nนอกจาก\nนอกใจ\nนอกชาน\nนอกรีต\nนอกเหนือ\nนองเนือง\nนองเลือด\nนอนก้น\nนอนใจ\nนอบนบ\nนอนเล่น\nนอบน้อม\nน้อมนำ\nน้อยใจ\nน้อยหน้า\nนักการ\nนักการเมือง\nนักกีฬา\nนักข่าว\nนักท่องเที่ยว\nนักเทศน์\nนักโทษ\nนักธรรม\nนักบวช\nนักบิน\nนักบุญ\nนักปราชญ์\nนักพรต\nนักรบ\nนักเรียน\nนักเลง\nนักวิชาการ\nนักศึกษา\nนักสิทธิ์\nนักสืบ\nนักหนา\nนั่งเทียน\nนั่งร้าน\nนัดแนะ\nนัดหมาย\nนั่นแหละ\nนั่นเอง\nนับถือ\nนับประสา\nนัยน์ตา\nนาดำ\nนาปรัง\nนาปี\nนาสวน\nนาหว่าน\nนาคบาศ\nนาคปรก\nนาคราช\nนางกวัก\nนางกำนัล\nนางงาม\nนางใน\nนางบำเรอ\nนางแบบ\nนางพญา\nนางฟ้า\nนางไม้\nนางโลม\nนางสาว\nนางห้าม\nนางเอก\nนาฏกรรม\nนาฏดนตรี\nนาฏศิลป์\nนานนม\nน่านน้ำ\nน่านฟ้า\nนามกร\nนามธรรม\nนามไธย\nนามบัตร\nนามปากกา\nนามแฝง\nนามสกุล\nนามสงเคราะห์\nนามสมญา\nนายทะเบียน\nนายท่า\nนายท้าย\nนายทุน\nนายประกัน\nนายหน้า\nนายอำเภอ\nนารายณ์หัตถ์\nนารีผล\nนาวิกโยธิน\nนำจับ\nนำพา\nนำทาง\nนำร่อง\nนำสืบ\nนำแสดง\nน้ำกรด\nน้ำกาม\nน้ำเกลือ\nน้ำข้าว\nน้ำแข็ง\nน้ำแข็งไส\nน้ำแข็งแห้ง\nน้ำครำ\nน้ำคร่ำ\nน้ำค้าง\nน้ำค้างแข็ง\nน้ำคาวปลา\nน้ำคำ\nน้ำเค็ม\nน้ำเคย\nน้ำเงิน\nน้ำเงี้ยว\nน้ำจัณฑ์\nน้ำจิ้ม\nน้ำใจ\nน้ำเชื้อ\nน้ำเชื่อม\nน้ำซาวข้าว\nน้ำดอกไม้\nน้ำดี\nน้ำตก\nน้ำตา\nน้ำตาล\nน้ำท่า\nน้ำนม\nน้ำนวล\nน้ำบาดาล\nน้ำประสานทอง\nน้ำประปา\nน้ำปลา\nน้ำป่า\nน้ำผึ้ง\nน้ำพริก\nน้ำพริกเผา\nน้ำพี้\nน้ำพุ\nน้ำมนต์\nน้ำมนตร์\nน้ำมัน\nน้ำมือ\nน้ำมูก\nน้ำเมา\nน้ำย่อย\nน้ำยา\nน้ำรัก\nน้ำแร่\nน้ำลาย\nน้ำเลี้ยง\nน้ำสต๊อก\nน้ำส้ม\nน้ำส้มสายชู\nน้ำสังข์\nน้ำสาบาน\nน้ำเสียง\nน้ำหนวก\nน้ำหนอง\nน้ำหนัก\nน้ำหน้า\nน้ำหนึ่ง\nน้ำหมึก\nน้ำหอม\nน้ำเหลือง\nน้ำอบ\nน้ำอ้อย\nน้ำอัดลม\nนิ่งเฉย\nนิจศีล\nนิดเดียว\nนิดหน่อย\nนิติกร\nนิติกรรม\nนิติธรรม\nนิตินัย\nนิติบัญญัติ\nนิติบุคคล\nนิติภาวะ\nนิติวิทยาศาสตร์\nนิติเวช\nนิติเวชศาสตร์\nนิติศาสตร์\nนิเทศศาสตร์\nนิ่มนวล\nนิรุกติศาสตร์\nนิเวศวิทยา\nนิศากร\nนิศากาล\nนิศาชล\nนิศารัตน์\nนี่แน่ะ\nนี่แหละ\nนี่เอง\nนึกคิด\nนุงถุง\nนุ่งห่ม\nนุ่มนวล\nนุ่มนิ่ม\nเนตรนารี\nเนติบัณฑิต\nเนยเทียม\nเนยใส\nเนิ่นนาน\nเนิบนาบ\nเนื้อความ\nเนื้อคู่\nเนื้อเค็ม\nเนื้องอก\nเนื้อตัว\nเนื้อตาย\nเนื้อที่\nเนื้อแท้\nเนื้อเปื่อย\nเนื้อผ้า\nเนื้อเพลง\nเนื้อไม้\nเนื้อเยื่อ\nเนื้อร้อง\nเนื้อร้าย\nเนื้อเรื่อง\nเนื้อหา\nเนืองนอง\nเนืองนิตย์\nเนืองแน่น\nแน่ใจ\nแน่ชัด\nแน่แท้\nแน่นอน\nแน่นิ่ง\nแน่แน่ว\nแน่นแฟ้น\nแน่นหนา\nแนบเนียน\nแนบแน่น\nแนวคิด\nแนวทาง\nแนวโน้ม\nแนวป่า\nแนวรบ\nแนวร่วม\nแนวหน้า\nแนวหลัง\nแน่วแน่\nแนะนำ\nแนะแนว\nโน้มน้าว\nในหลวง\nบกพร่อง\nบงกช\nบงการ\nบดบัง\nบทกลอน\nบทกวี\nบทความ\nบทคัดย่อ\nบทเฉพาะกาล\nบทนำ\nบทบัญญัติ\nบทบาท\nบทประพันธ์\nบทเพลง\nบทร้อง\nบทเรียน\nบทลงโทษ\nบทสนทนา\nบทอัศจรรย์\nบทจร\nบทบงสุ์\nบทมาลย์\nบทรัช\nบทเรศ\nบทวลัญช์\nบนบาน\nบรมครู\nบรมธาตุ\nบรมบพิตร\nบรมวงศานุวงศ์\nบรมอัฐิ\nบรรณพิภพ\nบรรณศาลา\nบรรณาการ\nบรรณาธิการ\nบรรณานุกรม\nบรรณารักษ์\nบรรณารักษศาสตร์\nบรรดามี\nบรรดาศักดิ์\nบรรทัดฐาน\nบรรพบุรุษ\nบรรลัยกัลป์\nบรรลัยจักร\nบริคณห์สนธิ\nบวงสรวง\nบ่วงบาศ\nบ้วนพระโอษฐ์\nบ่อเกิด\nบอกกล่าว\nบอกบท\nบอกบุญ\nบอกใบ้\nบอกปัด\nบ้องกัญชา\nบ้องตื้น\nบ้องไฟ\nบ้องหู\nบอดสี\nบ่อนทำลาย\nบอบช้ำ\nบอบบาง\nบอบแบบ\nบังโกลน\nบังโคลน\nบังใบ\nบั้งไฟ\nบังคับการ\nบังคับบัญชา\nบัญชาการ\nบัณฑุกัมพล\nบัดดล\nบัดเดี๋ยว\nบัดนั้น\nบัดนี้\nบัดสีบัดเถลิง\nบัตรเครดิต\nบัตรพลี\nบัตรสนเท่ห์\nบัตรสินเชื่อ\nบั่นทอน\nบั้นท้าย\nบั้นปลาย\nบั้นพระองค์\nบั้นเอว\nบันไดลิง\nบันไดเลื่อน\nบันเทิงคดี\nบัวลอย\nบัวบก\nบ้าจี้\nบ้าดีเดือด\nบ้าน้ำลาย\nบ้าบิ่น\nบ้าระห่ำ\nบ้าเลือด\nบ้าหอบฟาง\nบากบั่น\nบากหน้า\nบางตา\nบางเบา\nบางที\nบาดเจ็บ\nบาดแผล\nบาดหมาง\nบาตรใหญ่\nบาทบงกช\nบาทบงสุ์\nบาทบริจาริกา\nบาทวิถี\nบานเกล็ด\nบานตะเกียง\nบานตะไท\nบานเบอะ\nบานปลาย\nบานแผละ\nบานพับ\nบ้านจัดสรร\nบ้านช่อง\nบ้านนอก\nบ้านพัก\nบ้านเมือง\nบ้านรับรอง\nบ้านเรือน\nบาปกรรม\nบายศรี\nบ่ายเบี่ยง\nบ่ายหน้า\nบ่าวไพร่\nบิดเบี้ยว\nบิดเบือน\nบิดพลิ้ว\nบี้แบน\nบีบคั้น\nบีบรัด\nบึ้งตึง\nบึ้งบูด\nบุกบั่น\nบุกเบิก\nบุกรุก\nบุคลิกภาพ\nบุคลิกลักษณะ\nบุญธรรม\nบุญนิธิ\nบุญฤทธิ์\nบุบสลาย\nบุ้ยใบ้\nบุรุษเพศ\nบุหงารำไป\nบู้บี้\nบูชายัญ\nบูดบึ้ง\nบูดเบี้ยว\nเบาความ\nเบาใจ\nเบาบาง\nเบาปัญญา\nเบามือ\nเบาแรง\nเบาสมอง\nเบาหวาน\nเบาโหวง\nเบ้าตา\nเบาะแส\nเบิกความ\nเบิกบาน\nเบี้ยล่าง\nเบี้ยเลี้ยง\nเบี้ยหวัด\nเบี่ยงบ่าย\nเบียดบัง\nเบียดเบียน\nเบียดเสียด\nเบื้องต้น\nเบื้องบน\nเบื้องหน้า\nเบื้องหลัง\nแบกะดิน\nแบเบาะ\nแบ่งเบา\nแบ่งปัน\nแบ่งแยก\nแบบฉบับ\nแบบแปลน\nแบบแผน\nแบบฝึกหัด\nแบบพิมพ์\nแบบสอบถาม\nแบบอย่าง\nแบะแฉะ\nแบะท่า\nโบแดง\nโบราณคดี\nโบราณวัตถุ\nโบราณสถาน\nใบขับขี่\nใบจอง\nใบตอง\nใบแทรก\nใบบอก\nใบบุญ\nใบเบิกทาง\nใบปลิว\nใบพัด\nใบโพ\nใบไม้\nใบระกา\nใบรับรอง\nใบลา\nใบเลี้ยง\nใบสั่ง\nใบสำคัญ\nใบสุทธิ\nใบเสร็จ\nใบหน้า\nใบอนุญาต\nใบระกา\nปกครอง\nปกคลุม\nปกป้อง\nปกปิด\nปฏิบัติการ\nปฏิบัติบูชา\nปฐพีวิทยา\nปฐมฌาน\nปฐมทัศน์\nปฐมเทศนา\nปฐมนิเทศ\nปฐมพยาบาล\nปฐมยาม\nปฐมฤกษ์\nปฐมวัย\nปฐมสมโพธิ\nปนเป\nป่นปี้\nปมเขื่อง\nปมเด่น\nปมด้อย\nปรนเปรอ\nปรบไก่\nปรบมือ\nปรสิตวิทยา\nประโปรย\nประพรม\nประกันชีวิต\nประกันภัย\nประจักษ์พยาน\nประจัญบาน\nประจันหน้า\nประจำการ\nประจำเดือน\nประจำเมือง\nประจำยาม\nประชดประชัน\nประชากร\nประชากรศาสตร์\nประชาคม\nประชาชน\nประชาราษฎร์\nประชาชาติ\nประชาชี\nประชาทัณฑ์\nประชาบาล\nประชาพิจารณ์\nประชาภิบาล\nประชามติ\nประชาสงเคราะห์\nประชาสัมพันธ์\nประดับประดา\nประดามี\nประดาน้ำ\nประเดี๋ยวเดียว\nประเดี๋ยวนี้\nประทับใจ\nประทุษร้าย\nประเทศราช\nประพาสต้น\nประเพณีนิยม\nประลัยกัลป์\nประวัติการณ์\nประวัติศาสตร์\nประสบการณ์\nประสบการณ์นิยม\nประสาทการ\nประสูติการ\nประสูติกาล\nประเส\nปรับทุกข์\nปรับโทษ\nปรับปรุง\nปรากฏการณ์\nปราดเปรียว\nปราดเปรื่อง\nปราบปราม\nปริญญาบัตร\nปรัยัติธรรม\nปรุโปร่ง\nปลงใจ\nปลงตก\nปลดทุกข์\nปลดปลง\nปลดปล่อย\nปลดเปลื้อง\nปลดระวาง\nปลดแอก\nปล้นสะดม\nปลอกกระสุน\nปลอกคอ\nปลอดโปร่ง\nปลอดภัย\nปลอมปน\nปลอมแปลง\nปลอบโยน\nปล่อยใจ\nปล่อยตัว\nปล่อยปละ\nปลั๊กไฟ\nปลากริม\nปลาเค็ม\nปลาจ่อม\nปลาเจ่า\nปลาแดก\nปลาตู้\nปลาทอง\nปลาร้า\nปลาส้ม\nปลาดาว\nปลาบิน\nปลาฝา\nปลาวาฬ\nปลาหมึก\nปลาบปลื้ม\nปลายข้าว\nปลายแถว\nปลายทาง\nปลิ้นปลอก\nปลิ้นปล้อน\nปลีกตัว\nปลีกย่อย\nปลุกใจ\nปลุกปล้ำ\nปลุกปั่น\nปลุกระดม\nปลุกเสก\nปลูกฝัง\nปลูกสร้าง\nปวดถ่วง\nปวดมวน\nปวดร้าว\nป่วนปั่น\nป่วยการ\nปอกลอก\nป้องกัน\nปักใจ\nปักดำ\nปักหลัก\nปัจเจกบุคคล\nปัจเจกพุทธะ\nปัจเจกโพธิ\nปัจฉิมชน\nปัจฉิมทิศ\nปัจฉิมภาค\nปัจฉิมยาม\nปัจฉิมลิขิต\nปัจฉิมวัย\nปัจฉิมวาจา\nปัญญาชน\nปัญญาวิมุติ\nปัญญาอ่อน\nปัดเป่า\nปันส่วน\nปั่นป่วน\nปั่นแปะ\nปั่นหัว\nปั้นจิ้ม\nปั้นเจ๋อ\nปั้นปึ่ง\nปั้นสิบ\nปั๊มน้ำมัน\nป่าช้า\nป่าชายเลน\nป่าดง\nป่าดงดิบ\nป่าดิบ\nป่าเถื่อน\nป่าเบญจพรรณ\nป่าละเมาะ\nปากกา\nปากขอ\nปากแข็ง\nปากคอ\nปากคำ\nปากคีบ\nปากจัด\nปากน้ำ\nปากเปล่า\nปากเสียง\nปานกลาง\nป่านนี้\nป้านลม\nป้ายสี\nป่าวร้อง\nปิดฉาก\nปิดบัง\nปิตุฆาต\nปิตุภูมิ\nปีมะโว้\nปีแสง\nปี่กลาง\nปี่ไฉน\nปี่ชวา\nปี่นอก\nปี่ใน\nปี่พาทย์\nปี่อ้อ\nปีกกา\nปีนเกลียว\nปีนป่าย\nปึกแผ่น\nปึงปัง\nปืนกล\nปืนครก\nปืนพก\nปืนยา\nปืนยาว\nปืนลม\nปืนเล็ก\nปืนเล็กยาว\nปืนสั้น\nปืนใหญ่\nปุบปับ\nปุ๊บปั๊บ\nปุ่มเปือก\nปุยฝ้าย\nปุ๋ยคอก\nปุ๋ยเคมี\nปุ๋ยวิทยาศาสตร์\nปุ๋ยหมัก\nปุ๋ยอินทรีย์\nปูจ๋า\nปูเสฉวน\nปู่เจ้า\nปู่ทวด\nปูนขาว\nปูนซีเมนต์\nปูนดิบ\nปูนแดง\nปูนปลาสเตอร์\nปูนปั้น\nเป็ดเทศ\nเป็ดน้ำ\nเป็นกลาง\nเป็นใจ\nเป็นต้น\nเป็นต่อ\nเป็นรอง\nเป็นไร\nเป็นลม\nเป็นห่วง\nเป็นอยู่\nเปรมปรีดิ์\nเปรอะเปื้อน\nเปรียบเทียบ\nเปรียบเปรย\nเปรี้ยวปาก\nเปรี้ยวหวาน\nเปรื่องปราด\nเปลญวน\nเปล่งปลั่ง\nเปล่าดาย\nเปล่าเปลี่ยว\nเปลี่ยนใจ\nเปลี่ยนตัว\nเปลี่ยนแปลง\nเปลี่ยนมือ\nเปลี่ยนหน้า\nเป๋อเหลอ\nเปะปะ\nเป่ากบ\nเป้านิ่ง\nเป้าหมาย\nเปิดฉาก\nเปิดเปิง\nเปิดโปง\nเปิดผนึก\nเปิดเผย\nเปียกปูน\nแป้งสาลี\nแป้งนวล\nแป้งเปียก\nแป้งมัน\nแป้งฝุ่น\nแป้งร่ำ\nแป้งสิงคโปร์\nแป้งหมี่\nแปดปน\nแปดเปื้อน\nแปรปรวน\nแปรผัน\nแปรพักตร์\nแปรรูป\nแปรอักษร\nแปลกปลอม\nแปะโป้ง\nโป้ปด\nโปร่งแสง\nโปร่งใส\nโปรดปราน\nโปรยทาน\nโปรยปราย\nโปโลน้ำ\nผกผัน\nผกากรอง\nผงขาว\nผงชูรส\nผงซักฟอก\nผงฟู\nผดุงครรภ์\nผมไฟ\nผลพลอยได้\nผลลัพธ์\nผลัดเปลี่ยน\nผลิตผล\nผลิตภัณฑ์\nผลุบโผล่\nผสมเทียม\nผสมผสาน\nผสมผเส\nผสมพันธุ์\nผสมโรง\nผสมเสร็จ\nผ่องแผ้ว\nผ่องใส\nผ่อนคลาย\nผ่อนชำระ\nผ่อนปรน\nผ่อนผัน\nผ่อนส่ง\nผอมโซ\nผอมแห้ง\nผักชี\nผักตบชวา\nผักบุ้ง\nผังเมือง\nผัดผ่อน\nผันแปร\nผันผวน\nผ่าตัด\nผ่าเผย\nผ่าหมาก\nผ่าเหล่า\nผ้าขนหนู\nผ้าขาวม้า\nผ้าขี้ริ้ว\nผ้าเช็ดตัว\nผ้าเช็ดปาก\nผ้าเช็ดมือ\nผ้าเช็ดหน้า\nผ้าดิบ\nผ้าต่วน\nผ้าไตร\nผ้าถุง\nผ้าแถบ\nผ้านวม\nผ้านุ่ง\nผ้าใบ\nผ้าป่า\nผ้าป่าน\nผ้าผ่อน\nผ้าพันคอ\nผ้าพันแผล\nผ้าแพร\nผ้าโพกหัว\nผ้ามัดหมี่\nผ้ายาง\nผ้าลูกไม้\nผ้าเหลือง\nผ้าอนามัย\nผ้าอ้อม\nผาดโผน\nผาติกรรม\nผิดหวัง\nผิวเผิน\nผิวพรรณ\nผิวหนัง\nผีกระสือ\nผีกระหัง\nผีกองกอย\nผีโขมด\nผีดิบ\nผีตองเหลือง\nผีถ้วยแก้ว\nผีแถน\nผีทะเล\nผีบุญ\nผีปอบ\nผีพุ่งไต้\nผีฟ้า\nผีเรือน\nผีสาง\nผีเสื้อ\nผีห่า\nผึ่งผาย\nผุดผ่อง\nผุดผาด\nผู้คน\nผู้คุม\nผู้จัดการ\nผู้ชาย\nผู้เชี่ยวชาญ\nผู้ดี\nผู้โดยสาร\nผู้ต้องขัง\nผู้ต้องหา\nผู้แทน\nผู้น้อย\nผู้บริโภค\nผู้บังคับบัญชา\nผู้ปกครอง\nผู้ประกอบการ\nผู้ป่วย\nผู้พิพากษา\nผู้เยาว์\nผู้ร้าย\nผู้วิเศษ\nผู้สื่อข่าว\nผู้เสียหาย\nผู้หญิง\nผู้ใหญ่\nผู้ใหญ่บ้าน\nผูกขวัญ\nผูกขาด\nผูกพัน\nผูกมัด\nเผชิญหน้า\nเผด็จการ\nเผด็จศึก\nเผยแผ่\nเผยแพร่\nเผละผละ\nเผ่าพันธุ์\nเผื่อแผ่\nแผงลอย\nแผนการ\nแผนงาน\nแผนที่\nแผนผัง\nแผนภาพ\nแผนภูมิ\nแผ่นดิน\nแผ่นเสียง\nแผ้วพาน\nโผงผาง\nฝนทอง\nฝอยทอง\nฝักแค\nฝักบัว\nฝักฝ่าย\nฝักใฝ่\nฝังใจ\nฝังหัว\nฝาชี\nฝาแฝด\nฝาละมี\nฝ่าพระบาท\nฝ่าฝืน\nฝ่าฟัน\nฝ้าฟาง\nฝากตัว\nฝากฝัง\nฝีดาษ\nฝีมะม่วง\nฝีจักร\nฝีเท้า\nฝีปาก\nฝีพาย\nฝีมือ\nฝีเย็บ\nฝึกงาน\nฝึกปรือ\nฝึกฝน\nฝึกสอน\nฝึกหัด\nฝืดเคือง\nใฝ่ฝัน\nพงพี\nพงศ์พันธุ์\nพญาโศก\nพญาไฟ\nพบปะ\nพบพาน\nพรสวรรค์\nพรมคด\nพรมแดน\nพรมมิ\nพรรคพวก\nพรรณราย\nพรวดพราด\nพรหมชาติ\nพรหมลิขิต\nพรหมโลก\nพรหมวิหาร\nพร้อมใจ\nพร้อมพรั่ง\nพร้อมเพรียง\nพร้อมมูล\nพร้อมสรรพ\nพร้อมหน้า\nพระครู\nพระคุณ\nพระเคราะห์\nพระเครื่อง\nพระเจ้า\nพระเจ้าอยู่หัว\nพระชายา\nพระทัย\nพระนาง\nพระนางเจ้า\nพระเป็นเจ้า\nพระผู้เป็นเจ้า\nพระพิมพ์\nพระพุทธเจ้า\nพระพุทธองค์\nพระภูมิ\nพระยา\nพระรอง\nพระสนม\nพระสนมเอก\nพระองค์\nพระองค์เจ้า\nพระเอก\nพรั่งพร้อม\nพรั่งพรู\nพรั่นพรึง\nพร่างพราว\nพรายน้ำ\nพรายแพรว\nพราวแพรว\nพร่ำพลอด\nพร่ำเพรื่อ\nพร่ำเพ้อ\nพริกไทย\nพริ้งพราย\nพริ้งเพรา\nพริ้งเพริศ\nพริบตา\nพริ้มพราย\nพริ้มเพรา\nพรุ่งนี้\nพฤติกรรม\nพฤติการณ์\nพฤตินัย\nพลการ\nพลขับ\nพลความ\nพลเมือง\nพลรบ\nพลร่ม\nพลเรือน\nพลโลก\nพลศึกษา\nพลบค่ำ\nพลอดรัก\nพลังงาน\nพลังเงียบ\nพลังจิต\nพลั้งปาก\nพลั้งเผลอ\nพลั้งพลาด\nพลัดถิ่น\nพลัดพราก\nพลาดท่า\nพลาดพลั้ง\nพลิกแพลง\nพลีกรรม\nพลุ่งพล่าน\nพวกพ้อง\nพวงมาลัย\nพวงมาลา\nพวงหรีด\nพวงคราม\nพวงชมพู\nพวงแสด\nพ่วงพี\nพวยน้ำ\nพวยพุ่ง\nพสกนิกร\nพหุคูณ\nพหุภาคี\nพหูพจน์\nพหูสูต\nพอควร\nพอใจ\nพอใช้\nพอใช้ได้\nพอดี\nพอตัว\nพอทำเนา\nพอประมาณ\nพอเพียง\nพอแรง\nพอสมควร\nพอเหมาะ\nพ่อขุน\nพ่อครัว\nพ่อตา\nพ่อบ้าน\nพ่อพันธุ์\nพ่อม่าย\nพ่อเมือง\nพ่อเลี้ยง\nพ่อสื่อ\nพอกพูน\nพ้องพาน\nพักผ่อน\nพักพิง\nพักฟื้น\nพักร้อน\nพักแรม\nพัดยศ\nพัดลม\nพันพัว\nพับฐาน\nพับเพียบ\nพัวพัน\nพาซื่อ\nพาดพิง\nพิณพาทย์\nพิธีกร\nพิธีกรรม\nพิธีการ\nพิธีรีตอง\nพิธีสาร\nพินัยกรรม\nพิมพ์เขียว\nพิมพ์ใจ\nพิมพ์ดีด\nพิษสง\nพี่น้อง\nพี่เบิ้ม\nพี่เลี้ยง\nพึงใจ\nพึงพอใจ\nพึ่งพา\nพึ่งพิง\nพืชพันธุ์\nพืชมงคล\nพื้นฐาน\nพื้นที่\nพื้นบ้าน\nพื้นเพ\nพื้นเมือง\nพื้นเสีย\nพุพอง\nพุทธกาล\nพุทธคุณ\nพุทธจักร\nพุทธเจดีย์\nพุทธฎีกา\nพุทธปฏิมา\nพุทธปฏิมากร\nพุทธมามกะ\nพุทธศักราช\nพุทธศาสนิกชน\nพุทธองค์\nพุทธชาด\nพุทธรักษา\nพุ่มพวง\nพุ่มไม้\nพู่กัน\nพูดจา\nเพ่งเล็ง\nเพดานบิน\nเพดานปาก\nเพริศพราย\nเพริศพริ้ง\nเพริศแพร้ว\nเพรียกพร้อง\nเพรียวลม\nเพลงเชิด\nเพลงยาว\nเพลิงกัลป์\nเพลินใจ\nเพลินตา\nเพลี่ยงพล้ำ\nเพ้อฝัน\nเพาะกาย\nเพาะชำ\nเพาะปลูก\nเพิกถอน\nเพิกเฉย\nเพิ่มเติม\nเพิ่มพูน\nเพียงตา\nเพียงพอ\nเพียบแประ\nเพียบพร้อม\nเพื่อนเกลอ\nเพื่อนตาย\nเพื่อนบ้าน\nเพื่อนฝูง\nเพื่อนยาก\nแพ้ท้อง\nแพร่หลาย\nแพร่งพราย\nแพรวพราว\nโพธิญาณ\nโพธิบัลลังก์\nโพธิสมภาร\nโพธิสัตว์\nโพ้นทะเล\nโพยภัย\nไพ่ตาย\nไพ่ป๊อก\nไพรวัน\nไพรสณฑ์\nไพรสัณฑ์\nไพร่พล\nไพร่ฟ้า\nไพร่สม\nไพร่ส่วย\nไพร่หลวง\nฟกช้ำ\nฟองเต้าหู้\nฟองน้ำ\nฟองมัน\nฟ้องกลับ\nฟ้องร้อง\nฟอนเฟะ\nฟักทอง\nฟัดเฟียด\nฟันดาบ\nฟันฝ่า\nฟันแท้\nฟันน้ำนม\nฟันปลา\nฟันฟาง\nฟันเฟือง\nฟันม้า\nฟันเลื่อย\nฟันหนู\nฟั่นเฝือ\nฟั่นเฟือน\nฟื้นตัว\nฟื้นฝอย\nฟื้นฟู\nฟุ้งซ่าน\nฟุ้งเฟ้อ\nฟุ้งเฟื่อง\nฟุตบอล\nฟูฟ่อง\nฟูเฟื่อง\nฟูมฟัก\nฟูมฟาย\nเฟะฟะ\nเฟื่องฟ้า\nเฟื่องฟุ้ง\nเฟื่องฟู\nไฟฉาย\nไฟแช็ก\nไฟธาตุ\nไฟฟ้า\nภัตกิจ\nภาคทัณฑ์\nภาคพื้น\nภาคเรียน\nภาคภูมิ\nภาพถ่าย\nภาพนิ่ง\nภาพประกอบ\nภาพพจน์\nภาพยนตร์\nภาพลวงตา\nภาพลักษณ์\nภายนอก\nภายใน\nภายหน้า\nภายหลัง\nภารกิจ\nภารธุระ\nภารโรง\nภารตวิทยา\nภาษาศาสตร์\nภาสกร\nภิญโญภาพ\nภินชาติ\nภูธร\nภูธเรศ\nภูบาล\nภูเบศ\nภูเบศวร์\nภูเขา\nภูเขาไฟ\nภูผา\nภูตคาม\nภูตบดี\nภูตรูป\nภูเตศวร\nภูมินทร์\nภูมิบาล\nภูมิประเทศ\nภูมิภาค\nภูมิรัฐศาสตร์\nภูมิลำเนา\nภูมิศาสตร์\nภูมิอากาศ\nภูมิธรรม\nภูมิปัญญา\nภูมิรู้\nภูมิใจ\nภูมิฐาน\nภูมิคุ้มกัน\nภูมิแพ้\nภูษาโยง\nเภทภัย\nเภสัชกร\nเภสัชกรรม\nเภสัชวิทยา\nเภสัชศาสตร์\nโภคทรัพย์\nโภคภัณฑ์\nโภชนากร\nโภชนาการ\nมกุฎราชกุมาร\nมงคลแฝด\nมงคลสูตร\nมงคลหัตถี\nมณเฑียรบาล\nมดดำ\nมดแดง\nมดเท็จ\nมดยอบ\nมดลูก\nมธุปายาส\nมธุรส\nมนเทียรบาล\nมนุษย์กบ\nมโนกรรม\nมโนคติ\nมโนทุจริต\nมโนธรรม\nมโนภาพ\nมโนมัย\nมโนรถ\nมโนรมย์\nมโนสุจริต\nมรรคนายก\nมรรคผล\nมฤคชาติ\nมฤคทายวัน\nมฤคราช\nมลทิน\nมลพิษ\nมลสาร\nมวกเหล็ก\nม้วนหน้า\nมวยไทย\nมวยปล้ำ\nมวยล้ม\nมวยวัด\nมวยสากล\nมวยหมู่\nมวลสาร\nมอคราม\nมอซอ\nมอหมึก\nมองเมียง\nมอบตัว\nมอบหมาย\nมอมเมา\nมะขามเทศ\nมะขามป้อม\nมะขามเปียก\nมะเขือเทศ\nมะเขือพวง\nมะพร้าวแก้ว\nมักคุ้น\nมักจี่\nมักง่าย\nมักน้อย\nมักมาก\nมักใหญ่\nมั่งคั่ง\nมั่งมี\nมัจจุราช\nมัชฌิมนิกาย\nมัชฌิมประเทศ\nมัชฌิมยาม\nมัชฌิมวัย\nมัดจำ\nมัดหมี่\nมัธยมกาล\nมัธยมศึกษา\nมันแกว\nมันเทศ\nมันฝรั่ง\nมันเปลว\nมันสมอง\nมั่นคง\nมั่นใจ\nมั่นหมาย\nมั่นเหมาะ\nมัวเมา\nมัวหมอง\nมั่วสุม\nม้าเทศ\nม้าน้ำ\nม้ามืด\nม้าเร็ว\nม้าล่อ\nม้าลาย\nมากมาย\nมาตรการ\nมาตรฐาน\nมาตราส่วน\nมาตุคาม\nมาตุฆาต\nมาตุภูมิ\nม่านตา\nม่านบังตา\nมายากร\nมายากล\nมายาการ\nมายาวี\nมารผจญ\nมารวิชัย\nมารสังคม\nมารหัวขน\nมาลาการ\nมิ่งขวัญ\nมิ่งมิตร\nมิจฉาจาร\nมิจฉาชีพ\nมิดชิด\nมิดเมี้ยน\nมิดหมี\nมิตรจิต\nมิตรภาพ\nมิตรสหาย\nมิน่า\nมีหน้า\nมีดโกน\nมีดดาบ\nมีดโต้\nมีดพก\nมีดพับ\nมีดสั้น\nมึนงง\nมึนชา\nมึนตึง\nมึนเมา\nมืดครึ้ม\nมืดมน\nมืดมัว\nมือจับ\nมือดี\nมือเติบ\nมือปืน\nมือเปล่า\nมือมืด\nมือสอง\nมือเสือ\nมือหนึ่ง\nมือใหม่\nมุกตลก\nมุขปาฐะ\nมุขมนตรี\nมุ่งมั่น\nมุ่งมาด\nมุ่งหน้า\nมุ่งหมาย\nมุ่งหวัง\nมุ้งลวด\nมุ้งสายบัว\nมุมก้ม\nมุมกลับ\nมุมเงย\nมุมฉาก\nมุมตรง\nมุมป้าน\nมุมมืด\nมุมแย้ง\nมุมสะท้อน\nมุมหักเห\nมุมแหลม\nมุสาวาท\nมูกเลือด\nมูกมัน\nมูกหลวง\nมูนดิน\nมูลฐาน\nมูลนาย\nมูลนิธิ\nมูลเหตุ\nมูลค่า\nมูลฝอย\nเม็ดเงิน\nเม็ดเลือด\nเม็ดโลหิต\nเม่นทะเล\nเมรุมาศ\nเมรุราช\nเมล์อากาศ\nเมาดิบ\nเมามัน\nเมามัว\nเมามาย\nเมินเฉย\nเมียน้อย\nเมียหลวง\nเมียงมอง\nเมี่ยงลาว\nเมี่ยงส้ม\nเมื่อกี้\nเมื่อตะกี้\nเมื่อใด\nเมื่อไร\nเมื่อไหร่\nเมื่อนั้น\nเมืองขึ้น\nเมืองท่า\nเมืองนอก\nเมืองหลวง\nเมื่อยขบ\nเมื่อยล้า\nแม่กอง\nแม่กุญแจ\nแม่คุณ\nแม่งาน\nแม่เจ้า\nแม่ชี\nแม่ทัพ\nแม่นม\nแม่น้ำ\nแม่บท\nแม่บ้าน\nแม่เบี้ย\nแม่พระ\nแม่พิมพ์\nแม่เพลง\nแม่มด\nแม่ม่าย\nแม่ไม้\nแม่ยก\nแม่ยาย\nแม่ร้าง\nแม่เรือน\nแม่แรง\nแม่เล้า\nแม่เลี้ยง\nแม่สี\nแม่สื่อ\nแม่เหล็ก\nแมงมุม\nแม่นยำ\nแมลงช้าง\nแมลงวัน\nแมลงปอ\nแมลงภู่\nแมลงเม่า\nแมวเซา\nแมวน้ำ\nแมวป่า\nแมวมอง\nไม้กลัด\nไม้กวาด\nไม้กางเขน\nไม้เกาหลัง\nไม้ขีดไฟ\nไม้จิ้มฟัน\nไม้เด็ด\nไม้ตาย\nไม้ตีพริก\nไม้ที\nไม้เท้า\nไม้บรรทัด\nไม้เมตร\nไม้ระแนง\nไม้เรียว\nไม้หมอน\nไม้อัด\nไม้จัตวา\nไม้ตรี\nไม้ไต่คู้\nไม้โท\nไม้ผัด\nไม้มลาย\nไม้ม้วน\nไม้ยมก\nไม้หน้า\nไม้หันอากาศ\nไม้เอก\nยกกลีบ\nยกครู\nยกเครื่อง\nยกเค้า\nยกทรง\nยกฟ้อง\nยกเมฆ\nยกยอ\nยกย่อง\nยกเลิก\nยกเว้น\nย่นย่อ\nยมทูต\nยมบาล\nยมราช\nยมโลก\nยวดยิ่ง\nยวดยาน\nยวนยี\nยวบยาบ\nย่อท้อ\nย่อส่วน\nย่อหน้า\nย่อหย่อน\nยอกย้อน\nยองใย\nย่องเบา\nย่องแย่ง\nยอดเยี่ยม\nยอดอก\nย้อนยอก\nย้อนรอย\nย้อนศร\nย้อนแสง\nย้อนหลัง\nยอบแยบ\nยอมความ\nย่อมเยา\nย่อยยับ\nยักยอก\nยักย้าย\nยักเยื้อง\nยัญกรรม\nยัญพิธี\nยัดเยียด\nยับเยิน\nยับยั้ง\nยั่วยวน\nยั่วยุ\nยั่วเย้า\nยากวาด\nยากันยุง\nยาเขียว\nยาใจ\nยาฉุน\nยาชา\nยาซัด\nยาดอง\nยาแดง\nยาถ่าย\nยาธาตุ\nยานัตถุ์\nยาเบื่อ\nยาโป๊\nยาแฝด\nยาพิษ\nยาระบาย\nยาสลบ\nยาสั่ง\nยาสีฟัน\nยาสูบ\nยาเส้น\nยาเสพติด\nยาหม่อง\nยาเหลือง\nย่าทวด\nย่านาง\nยากแค้น\nยากจน\nยากเย็น\nยากไร้\nยางนอก\nยางใน\nยางมะตอย\nยางมะตูม\nยางลบ\nยางสน\nยางอาย\nย่างกราย\nย่างเยื้อง\nย่างสด\nย่างสามขุม\nย่างเหยียบ\nยานเกราะ\nยานพาหนะ\nยานอวกาศ\nยานคาง\nยายทวด\nยาวเฟื้อย\nยาวยืด\nยาวเหยียด\nยำทวาย\nยำใหญ่\nยำเกรง\nยำเยง\nย่ำต๊อก\nย่ำยี\nย่ำแย่\nยิงเป้า\nยิ่งนัก\nยิ่งยวด\nยิ่งใหญ่\nยินดี\nยินยอม\nยินร้าย\nยิ้มกริ่ม\nยิ้มแฉ่ง\nยิ้มแต้\nยิ้มแป้น\nยิ้มเผล่\nยิ้มเยาะ\nยิ้มแย้ม\nยียวน\nยึดครอง\nยึดถือ\nยึดมั่น\nยึดเหนี่ยว\nยืดยาด\nยืดยาว\nยืดเยื้อ\nยืดหยุ่น\nยืดอก\nยืนกราน\nยืนต้น\nยืนพื้น\nยืนยง\nยืนยัน\nยืนหยัด\nยื้อยุด\nยุยง\nยุแยง\nยุแหย่\nยุคลบาท\nยุคเข็ญ\nยุคทอง\nยุคมืด\nยุ่งขิง\nยุ่งยาก\nยุ่งเหยิง\nยุติธรรม\nยุทธการ\nยุทธนาวี\nยุทธปัจจัย\nยุทธภัณฑ์\nยุทธภูมิ\nยุทธวิธี\nยุทธศาสตร์\nยุทธหัตถี\nยุทธนาการ\nยุทธนาธิการ\nยุบยับ\nยุบยิบ\nยุพราช\nยู่ยี่\nเย็นเจี๊ยบ\nเย็นใจ\nเย็นฉ่ำ\nเย็นเฉียบ\nเย็นชา\nเย็นชืด\nเย็นตา\nเย็นเยียบ\nเย็นเยือก\nเย็นวาบ\nเย็นวูบ\nเย็บกี่\nเย็บจักร\nเย็บด้าย\nเย้ยหยัน\nเย้าหยอก\nเยาะเย้ย\nเยี่ยมกราย\nเยี่ยมเยียน\nเยี่ยมเยือน\nเยี่ยมยอด\nเยื่อเคย\nเยื่อใย\nเยือกเย็น\nเยื้องกราย\nเยื้องยัก\nเยื้องย่าง\nแยกย้าย\nแยกแยะ\nแย่งชิง\nแยบคาย\nแยบยล\nแย้มพราย\nแย้มยิ้ม\nแย้มสรวล\nโยเย\nโย้เย้\nโยกโคลง\nโยกย้าย\nโยกโย้\nโยนกลอง\nใยหิน\nรกชัฏ\nรกร้าง\nรกเรี้ยว\nรกเรื้อ\nรกราก\nรงควัตถุ\nรชนีกร\nรถกระบะ\nรถเก๋ง\nรถเข็น\nรถแข่ง\nรถจักร\nรถจี๊ป\nรถตู้\nรถทัวร์\nรถบรรทุก\nรถพ่วง\nรถพยาบาล\nรถไฟ\nรถไฟฟ้า\nรถม้า\nรถเมล์\nรถยนต์\nรถราง\nรถลาก\nรถสปอร์ต\nรถสิบล้อ\nรบกวน\nรบรา\nรบเร้า\nรมดำ\nร่มเกล้า\nร่มชูชีพ\nร่มเย็น\nร่มรื่น\nร่วงโรย\nรวงผึ้ง\nรวงรัง\nรวดเร็ว\nรวนเร\nรวบยอด\nรวบรวม\nรวบรัด\nรวมพล\nรวมหัว\nร่วมใจ\nร่วมเพศ\nร่วมมือ\nร่วมรัก\nร่วมสมัย\nรวยริน\nรวยรื่น\nรสชาติ\nรสนิยม\nรองท้อง\nรองเท้า\nรองพื้น\nร่องน้ำ\nร่องรอย\nร้องขอ\nร้องทุกข์\nร้องเรียน\nร้องห่ม\nร้องไห้\nรองช้ำ\nรองทรง\nรอดชีวิต\nรอดตัว\nรอดตาย\nรอนแรม\nร่อนเร่\nร้อนใจ\nร้อนตัว\nร้อนรน\nร้อนรุ่ม\nร้อนวิชา\nร้อนอาสน์\nรอบจัด\nรอบเดือน\nรอบรู้\nรอยร้าว\nร่อยหรอ\nร้อยละ\nร้อยกรอง\nร้อยแก้ว\nร้อยหวาย\nระนาดทุ้ม\nระนาดเอก\nระเบิดขวด\nระเบิดมือ\nระเบียบการ\nรักใคร่\nรักษาการ\nรักษาการณ์\nรังไข่\nรังแตน\nรังนก\nรังผึ้ง\nรังเพลิง\nรังมด\nรังสรรค์\nรังสฤษฏ์\nรั้งรอ\nรังสีแพทย์\nรังสีวิทยา\nรัชกาล\nรัชทายาท\nรัชนีกร\nรัฐธรรมนูญ\nรัฐบาล\nรัฐบุรุษ\nรัฐประศาสน์\nรัฐประหาร\nรัฐพิธี\nรัฐมนตรี\nรัฐวิสาหกิจ\nรัฐศาสตร์\nรัฐสภา\nรัดกุม\nรัดเกล้า\nรัดตัว\nรัดประคด\nรัดรึง\nรัดรูป\nรัตติกาล\nรับขวัญ\nรับจ้าง\nรับช่วง\nรับใช้\nรับซื้อ\nรับทราบ\nรับประกัน\nรับประทาน\nรับปาก\nรับผิด\nรับผิดชอบ\nรับฟ้อง\nรับฟัง\nรับมือ\nรับรอง\nรับรู้\nรับสมัคร\nรับสั่ง\nรับหน้า\nรับเหมา\nรั่วไหล\nรามือ\nร่าเริง\nรากแก้ว\nรากขวัญ\nรากฐาน\nรากฟัน\nรากศัพท์\nรากเหง้า\nร่างกาย\nร่างแห\nร้างรา\nราชกรณียกิจ\nราชการ\nราชกิจ\nราชครู\nราชฐาน\nราชทัณฑ์\nราชทินนาม\nราชทูต\nราชธานี\nราชนาวี\nราชบัณฑิต\nราชบัลลังก์\nราชบาตร\nราชบุตร\nราชปะแตน\nราชภัฏ\nราชมัล\nราชยาน\nราชรถ\nราชลัญจกร\nราชเลขาธิการ\nราชเลขานุการ\nราชวงศ์\nราชวัติ\nราชสกุล\nราชสมบัติ\nราชสาส์น\nราชหัตถเลขา\nราชองครักษ์\nราชโองการ\nราชาคณะ\nราชาศัพท์\nราชินีนาถ\nร้านชำ\nร้านรวง\nราบคาบ\nราบรื่น\nราบเรียบ\nรายการ\nรายงาน\nรายจ่าย\nรายได้\nรายทาง\nรายรับ\nรายล้อม\nรายละเอียด\nรายวิชา\nร่ายยาว\nร่ายรำ\nร้ายกาจ\nร้ายแรง\nราวนม\nราวป่า\nร้าวฉาน\nร้าวราน\nรำพัด\nรำแพน\nรำวง\nร่ำไป\nร่ำร้อง\nร่ำเรียน\nร่ำไร\nร่ำลา\nร่ำไห้\nริเริ่ม\nริอ่าน\nริมฝีปาก\nริ้วรอย\nรีบร้อน\nรีบรุด\nรีบเร่ง\nรื่นรมย์\nรื่นเริง\nรื้อถอน\nรื้อฟื้น\nรุกฆาต\nรุกราน\nรุกล้ำ\nรุกไล่\nรุ่งขึ้น\nรุ่งแจ้ง\nรุ่งเช้า\nรุ่งเรือง\nรุ่งโรจน์\nรุ่งสว่าง\nรุ่งสาง\nรุ่งอรุณ\nรุจิเรข\nรุดหน้า\nรุนแรง\nรุมเร้า\nรุมล้อม\nรุ่มรวย\nรุ่มร้อน\nรุ่ยร่าย\nรู้แกว\nรู้ความ\nรู้คุณ\nรู้งาน\nรู้จัก\nรู้แจ้ง\nรู้ใจ\nรู้เชิง\nรู้ตัว\nรู้ทัน\nรู้เท่า\nรู้เรื่อง\nรู้สำนึก\nรู้สึก\nรู้เห็น\nรูปการณ์\nรูปโฉม\nรูปฌาน\nรูปถ่าย\nรูปทรง\nรูปธรรม\nรูปแบบ\nรูปพรรณ\nรูปพรหม\nรูปภพ\nรูปภาพ\nรูปร่าง\nรูปสมบัติ\nเร่ร่อน\nเร่งด่วน\nเร่งมือ\nเร่งรัด\nเร่งรีบ\nเร่งเร้า\nเร้นลับ\nเร่อร่า\nเร่าร้อน\nเราะราย\nเราะร้าย\nเริงใจ\nเริงรมย์\nเริดร้าง\nเริ่มต้น\nเริ่มแรก\nเรี่ยราด\nเรี่ยไร\nเรียกคืน\nเรียกตัว\nเรียกร้อง\nเรียกหา\nเรียบร้อย\nเรียงความ\nเรียงตัว\nเรียงเบอร์\nเรียงพิมพ์\nเรียงเม็ด\nเรียงราย\nเรียนรู้\nเรียบร้อย\nเรียบเรียง\nเรียบวุธ\nเรี่ยมเร้\nเรี่ยวแรง\nเรือกลไฟ\nเรือกอและ\nเรือกำปั่น\nเรือจ้าง\nเรือดำน้ำ\nเรือโดยสาร\nเรือตรวจการณ์\nเรือตังเก\nเรือธง\nเรือนำร่อง\nเรือบด\nเรือบิน\nเรือใบ\nเรือประมง\nเรือพ่วง\nเรือพิฆาต\nเรือยนต์\nเรือยาว\nเรือโยง\nเรือรบ\nเรือลากจูง\nเรือสำปั้น\nเรือสำเภา\nเรือหลวง\nเรือหางยาว\nเรืออีโปง\nเรือเอี้ยมจุ๊น\nเรื้อรัง\nเรือกสวน\nเรืองนาม\nเรืองรอง\nเรืองแสง\nเรื่องราว\nเรื่องสั้น\nเรือนแก้ว\nเรือนจำ\nเรือนเบี้ย\nเรือนแพ\nเรือนหอ\nเรื่อยเจื้อย\nเรื่อยเฉื่อย\nเรื่อยเปื่อย\nแรเงา\nแรกนา\nแรกนาขวัญ\nแรงงาน\nแรงดึงดูด\nแรงเทียน\nแรงม้า\nแรงเหวี่ยง\nแรมรอน\nแรมรา\nแรมโรย\nโรคจิต\nโรงครัว\nโรงงาน\nโรงเจ\nโรงเตี๊ยม\nโรงทาน\nโรงนา\nโรงพยาบาล\nโรงพัก\nโรงพิมพ์\nโรงเรียน\nโรงเรือน\nโรงแรม\nโรงเลี้ยง\nโรงเลื่อย\nโรงสี\nโรงสีข้าว\nโรงอาหาร\nโรมรัน\nโรยรา\nฤชากร\nฤดูกาล\nลงขัน\nลงแขก\nลงคอ\nลงตัว\nลงท้าย\nลงทุน\nลงโทษ\nลงพุง\nลงมือ\nลงรัก\nลงรอย\nลงแรง\nลงโรง\nลงเอย\nลดตัว\nลดละ\nลดเลี้ยว\nลดหย่อน\nลดหลั่น\nลนลาน\nล้นพ้น\nล้นหลาม\nล้นเหลือ\nลบล้าง\nลบเลือน\nลบหลู่\nลมกรด\nลมค้า\nลมงวง\nลมแดด\nลมทะเล\nลมบก\nลมบน\nลมบ้าหมู\nลมปราณ\nลมปาก\nลมพิษ\nลมว่าว\nลมเสีย\nลมหนาว\nลมหายใจ\nล่มจม\nล่มสลาย\nล้มละลาย\nล้มลุก\nล้มเลิก\nล่วงเกิน\nล่วงรู้\nล่วงละเมิด\nล่วงลับ\nล่วงล้ำ\nล่วงเลย\nล่วงหน้า\nลวดลาย\nลวดสปริง\nลวดหนาม\nล้วนแล้ว\nลหุโทษ\nล่อลวง\nล่อหลอก\nล่อแหลม\nล้อต๊อก\nล้อเลื่อน\nล้อเล่น\nล้อเลียน\nล้อหลอก\nลองเชิง\nลองดี\nลองภูมิ\nล่องหน\nลอดช่อง\nล่อนจ้อน\nลอบกัด\nล้อมวง\nลอยแก้ว\nลอยชาย\nลอยตัว\nลอยนวล\nลอยแพ\nลอยลำ\nละทิ้ง\nละเลย\nละเว้น\nละครนอก\nละครใน\nละครเพลง\nละครร้อง\nละครรำ\nละครลิง\nละครสัตว์\nละเอียดอ่อน\nลักไก่\nลักพา\nลักเพศ\nลักยิ้ม\nลักลอบ\nลักลั่น\nลักหลับ\nลัดเลาะ\nลับตา\nลับแล\nลับหลัง\nลาออก\nล่าช้า\nล่าทัพ\nล้าสมัย\nล้าหลัง\nลากข้าง\nล้างบาง\nล้างผลาญ\nลาดเขา\nลาดตระเวน\nลาดเท\nลาดยาง\nลานบิน\nลาภปาก\nลาภลอย\nลามปาม\nลามเลีย\nลายคราม\nลายเซ็น\nลายแทง\nลายน้ำ\nลายพร้อย\nลายมือ\nลายลักษณ์\nลายเส้น\nลำกล้อง\nลำแข้ง\nลำธาร\nลำแสง\nลำไส้\nลำตัด\nลำนำ\nล่ำสัน\nล้ำยุค\nล้ำสมัย\nล้ำลึก\nล้ำเลิศ\nล้ำเส้น\nล้ำหน้า\nลิงจุ่น\nลิงลม\nลิงโลด\nลิดรอน\nลิ้นไก่\nลิ้นชัก\nลิ้นปี่\nลิ้นควาย\nลิ้นงูเห่า\nลิ้นหมา\nลิบลับ\nลิบลิ่ว\nลิ่มเลือด\nลี้ภัย\nลี้ลับ\nลึกซึ้ง\nลึกลับ\nลึกล้ำ\nลืมตน\nลืมต้น\nลืมตัว\nลืมตา\nลืมเลือน\nลือชา\nลือชื่อ\nลือลั่น\nลุล่วง\nลุกลน\nลุกลาม\nลุกลี้ลุกลน\nลุกฮือ\nลุ่มน้ำ\nลุ่มลึก\nลุ่มหลง\nลุ่ทาง\nลูกกรง\nลูกกรอก\nลูกกรุง\nลูกกลอน\nลูกกลิ้ง\nลูกกวาด\nลูกกะจ๊อก\nลูกกุญแจ\nลูกเกด\nลูกแก้ว\nลูกขนไก่\nลูกข่าง\nลูกขุน\nลูกเขย\nลูกครึ่ง\nลูกคลื่น\nลูกความ\nลูกคอ\nลูกค้า\nลูกคิด\nลูกคู่\nลูกจ้าง\nลูกช้าง\nลูกชิด\nลูกชิ้น\nลูกชุบ\nลูกซอง\nลูกโซ่\nลูกดอก\nลูกดิ่ง\nลูกตะกั่ว\nลูกตุ้ม\nลูกเต้า\nลูกเต๋า\nลูกถ้วย\nลูกทุ่ง\nลูกเธอ\nลูกน้อง\nลูกน้ำ\nลูกนิมิต\nลูกบอล\nลูกบ้าน\nลูกบาศก์\nลูกบิด\nลูกเบี้ยว\nลูกประคบ\nลูกประคำ\nลูกปัด\nลูกปืน\nลูกโป่ง\nลูกผสม\nลูกผู้ชาย\nลูกผู้หญิง\nลูกพรรค\nลูกพี่\nลูกฟูก\nลูกไฟ\nลูกมือ\nลูกโม่\nลูกไม้\nลูกยาเธอ\nลูกรอก\nลูกรัง\nลูกเรือ\nลูกล้อ\nลูกลอย\nลูกเล่น\nลูกเลี้ยง\nลูกโลก\nลูกวัด\nลูกศร\nลูกศิษย์\nลูกสมุน\nลูกสะใภ้\nลูกสูบ\nลูกเสือ\nลูกหนัง\nลูกหนี้\nลูกหนู\nลูกหมาก\nลูกหลง\nลูกหลาน\nลูกหาบ\nลูกหิน\nลูกเห็บ\nลูกเหม็น\nลูกแหง่\nลูกอม\nลูกหม้อ\nลูบคม\nลูบคลำ\nลูบไล้\nเล็กน้อย\nเลขคณิต\nเลขผา\nเลขหมาย\nเล็ดลอด\nเล่นงาน\nเล่นแง่\nเล่นชู้\nเล่นตัว\nเล่นลิ้น\nเล่นหัว\nเลนส์นูน\nเลนส์เว้า\nเล็บครุฑ\nเลยเถิด\nเลศนัย\nเล่ห์กล\nเล่ห์เหลี่ยม\nเลอโฉม\nเลอมาน\nเลอเลิศ\nเลอสรวง\nเล่อล่า\nเลอะเลือน\nเล่าเรียน\nเล่าลือ\nเลาะลัด\nเลิกรา\nเลิกร้าง\nเลิกล้ม\nเลิศเลอ\nเลี้ยงชีพ\nเลี้ยงดู\nเลี้ยงต้อย\nเลียบเคียง\nเลี้ยวลด\nเลือกตั้ง\nเลือกเฟ้น\nเลือกสรร\nเลื่องลือ\nเลือดกำเดา\nเลือดเนื้อ\nเลือดฝาด\nเลือดเย็น\nเลือดร้อน\nเลือดหมู\nเลือดอุ่น\nเลือนราง\nเลื่อนเปื้อน\nเลื่อนลอย\nเลื่อมพราย\nเลื่อมใส\nเลื่อยฉลุ\nเลื่อยลันดา\nเลื่อยวงเดือน\nเลื้อยคลาน\nแลเหลียว\nแลกเปลี่ยน\nแล้วกัน\nและเล็ม\nโล่งใจ\nโล่งโถง\nโล่งอก\nโลดเต้น\nโลดโผน\nโลดลิ่ว\nโลดแล่น\nไล่ที่\nไล่เบี้ย\nไล่เลี่ย\nไล่เลียง\nไล่หลัง\nไล่ออก\nวกวน\nวงกบ\nวงกลม\nวงการ\nวงแขน\nวงเงิน\nวงจร\nวงนอก\nวงใน\nวงรี\nวงเล็บ\nวงเวียน\nวงแหวน\nวงศ์วาน\nวจีกรรม\nวจีเภท\nวจีภาค\nวนเวียน\nวอดวาย\nว็อบแว็บ\nวังวน\nวังหน้า\nวังหลวง\nวังหลัง\nวัดราษฎร์\nวัดวา\nวัดหลวง\nวัดผล\nวัดพื้น\nวัตถุนิยม\nวัตถุประสงค์\nวัตรปฏิบัติ\nวันโกน\nวันพระ\nวันเพ็ญ\nวัยรุ่น\nวัยวุฒิ\nว่ากล่าว\nว่าจ้าง\nว่าด้วย\nว่าที่\nวางก้าม\nวางใจ\nวางตัว\nวางตา\nวางโต\nวางท่า\nวางมวย\nวางมาด\nวางมือ\nวางวาย\nว่างเปล่า\nว่างเว้น\nวาดเขียน\nว่านเครือ\nวาบหวาม\nวายชนม์\nวายปราณ\nวายวาง\nวายวอด\nวายร้าย\nวายุภักษ์\nวาววับ\nวาววาม\nวาวแวว\nวาวแสง\nวิกฤตการณ์\nวิกฤติการณ์\nวิกฤตกาล\nวิกฤติกาล\nวิกลจริต\nวิงเวียน\nวิ่งเต้น\nวิ่งผลัด\nวิ่งรอก\nวิ่งราว\nวิจิตรศิลป์\nวิชาการ\nวิชาชีพ\nวิชาธร\nวิญญูชน\nวิดพื้น\nวิตกจริต\nวิถีทาง\nวิทยากร\nวิทยากล\nวิทยาการ\nวิทยาเขต\nวิทยาทาน\nวิทยาธร\nวิทยานิพนธ์\nวิทยาศาสตร์\nวิเทศสัมพันธ์\nวิธีการ\nวินัยธร\nวินัยปิฎก\nวินาศกรรม\nวินาศภัย\nวินาศสันตะโร\nวิภัชพยากรณ์\nวิภัชวาที\nวิไลวรรณ\nวิสัญญีแพทย์\nวิสัญญีภาพ\nวิสัญญีวิทยา\nวุฒิบัตร\nวุฒิสภา\nวุฒิสมาชิก\nวุ่นวาย\nวุ้นเส้น\nวูบวาบ\nเวจกุฎี\nเวจมรรค\nเวชกรรม\nเวชภัณฑ์\nเวชศาสตร์\nเวทมนตร์\nเวนคืน\nเวรกรรม\nเวฬุการ\nเวฬุวัน\nเว้าวอน\nเวิ้งว้าง\nเวียงวัง\nเวียนเทียน\nแว้งกัด\nแวดล้อม\nแวดวง\nแว่นขยาย\nแว่นแคว้น\nแว่นตา\nแวบวับ\nแววตา\nแวววาม\nแวววาว\nแวะเวียน\nโวยวาย\nไวไฟ\nไว้ใจ\nไว้ชื่อ\nไว้ตัว\nไว้ทุกข์\nไว้ลาย\nไว้หน้า\nไว้อาลัย\nศนิวาร\nศอกกลับ\nศอกกำ\nศอกกำมา\nศักดิ์ศรี\nศักดิ์สิทธิ์\nศารทวิษุวัติ\nศาลแขวง\nศาลจังหวัด\nศาลชั้นต้น\nศาลฎีกา\nศาลเตี้ย\nศาลทหาร\nศาลปกครอง\nศาลพระภูมิ\nศาลเพียงตา\nศาลแพ่ง\nศาลรัฐธรรมนูญ\nศาลแรงงาน\nศาลล้มละลาย\nศาลโลก\nศาลสูง\nศาลสูงสุด\nศาลอาญา\nศาลอุทธรณ์\nศาลากลาง\nศาลาดิน\nศาลาราย\nศาลาวัด\nศิลาฤกษ์\nศิลาแลง\nศิษย์เก่า\nศิษย์เอก\nศีลจุ่ม\nศีลธรรม\nศีลวัต\nศีลอด\nศูนย์กลาง\nศูนย์การค้า\nศูนย์ถ่วง\nศูนย์สูตร\nศูนย์หน้า\nเศร้าใจ\nเศร้าโศก\nเศร้าสร้อย\nเศร้าสลด\nเศร้าหมอง\nเศวตฉัตร\nเศษเกิน\nเศษซ้อน\nเศษวรรค\nเศษส่วน\nเศษเหล็ก\nโศกนาฏกรรม\nโศกศัลย์\nโศกเศร้า\nโศกสลด\nสกลโลก\nส่งเดช\nส่งท้าย\nส่งเสริม\nส่งเสีย\nส่งเสียง\nสงบเงียบ\nสงบเสงี่ยม\nสง่างาม\nสง่าราศี\nสดชื่น\nสดใส\nสตรีเพศ\nสติปัญญา\nสถลมารค\nสถานกงสุล\nสถานที่\nสถานทูต\nสถานการณ์\nสถานภาพ\nสถิติศาสตร์\nสนตะพาย\nสนใจ\nส้นตีน\nสนธิสัญญา\nสนนราคา\nสนับแข้ง\nสนับเพลา\nสนับมือ\nสนามบิน\nสนามเพลาะ\nสนิทสนม\nสนิมขุม\nสนิมสร้อย\nสนุกสนาน\nสบประมาท\nสบายใจ\nสภาพธรรม\nสมควร\nสมจริง\nสมใจ\nสมนัย\nสมน้ำหน้า\nสมประกอบ\nสมส่วน\nสมหวัง\nสมคบ\nสมทบ\nสมยอม\nสมรัก\nสมรู้\nสมสู่\nส้มฉุน\nส้มตำ\nส้มลิ้ม\nส้มกุ้ง\nส้มเช้า\nสมญานาม\nสมมติฐาน\nสมมุติฐาน\nสมมติเทพ\nสมรภูมิ\nสมัครใจ\nสมัยนิยม\nสมุทรศาสตร์\nสมุทรเสนา\nสยดสยอง\nสยองขวัญ\nสยามรัฐ\nสรรหา\nสรวมชีพ\nสรวลเส\nสร้อยเศร้า\nสร้างสรรค์\nสร้างเสริม\nสลดใจ\nสลบไสล\nสละสลวย\nสลาเหิน\nสลากภัต\nสวนครัว\nสวนป่า\nสวนสนุก\nสวนหย่อม\nส่วนกลาง\nส่วนเกิน\nส่วนตัว\nส่วนบุญ\nส่วนแบ่ง\nส่วนประกอบ\nส่วนพระองค์\nส่วนผสม\nส่วนรวม\nส่วนร่วม\nส่วนลด\nส่วนสัด\nสวมกอด\nสวมเขา\nสวมรอย\nสวยมภู\nสว่างไสว\nสวามิภักดิ์\nสวิงสวาย\nสสารนิยม\nส่อเสียด\nสอดคล้อง\nสอดแทรก\nสอดแนม\nสอบถาม\nสอบทาน\nสอบไล่\nสอบสวน\nส้อมเสียง\nสะสวย\nสะแกวัลย์\nสะแกแสง\nสะใจ\nสะเด็ดยาด\nสะเทือนใจ\nสะบัดช่อ\nสั่งสม\nสั่งสอน\nสั่งเสีย\nสังเกตการณ์\nสังคมนิยม\nสังคมวิทยา\nสังคมศาสตร์\nสังคมศึกษา\nสังคมสงเคราะห์\nสัญญาบัตร\nสัดส่วน\nสัตการ\nสัตบุรุษ\nสัตบริภัณฑ์\nสัตภัณฑ์\nสัตมหาสถาน\nสัตโลหะ\nสันเขา\nสันดอน\nสันหลัง\nสั่นเทา\nสั่นเทิ้ม\nสันติบาล\nสันติภาพ\nสันติวิธี\nสันติสุข\nสับเปลี่ยน\nสับสน\nสับหลีก\nสับหว่าง\nสัมมาคารวะ\nสัมมาชีพ\nส่าเหล้า\nสากกะเบือ\nสาทิสลักษณ์\nสาธุการ\nสาธุชน\nสาบเสือ\nสาปสรร\nสาปแช่ง\nสาปส่ง\nสามง่าม\nสามล้อ\nสามเหลี่ยม\nสามเวท\nสามัญชน\nสามัญสำนึก\nสายดิ่ง\nสายดิน\nสายตรวจ\nสายน้ำ\nสายบัว\nสายพาน\nสายฟ้า\nสายยาง\nสายยู\nสายใย\nสายรก\nสายรุ้ง\nสายล่อฟ้า\nสายลับ\nสายเลือด\nสายโลหิต\nสายวัด\nสายส่ง\nสายสวาท\nสายสะดือ\nสายสะพาย\nสายสัมพันธ์\nสายสิญจน์\nสายสืบ\nสายไหม\nสายอากาศ\nสายตา\nสายหยุด\nสารตรา\nสารประกอบ\nสารละลาย\nสารส้ม\nสารหนู\nสารทฤดู\nสาวใช้\nสาวน้อย\nสาวใหญ่\nสำนักงาน\nสำนักพิมพ์\nสำนักสงฆ์\nสำมะโนครัว\nสำเร็จรูป\nสิกขาบท\nสิงสถิต\nสิงสู่\nสิ่งก่อสร้าง\nสิ่งของ\nสิ่งปฏิกูล\nสิ่งพิมพ์\nสิ่งแวดล้อม\nสิ่งศักดิ์สิทธิ์\nสิทธิกร\nสิทธิ์ขาด\nสิทธิชัย\nสิทธิโชค\nสิทธิบัตร\nสินค้า\nสินจ้าง\nสินเชื่อ\nสินไถ่\nสินทรัพย์\nสินน้ำใจ\nสินบน\nสินแร่\nสินสมรส\nสินสอด\nสินไหม\nสิ้นเชิง\nสิ้นสุด\nสีผึ้ง\nสีลม\nสีชอล์ก\nสีถ่าน\nสีเทียน\nสีน้ำ\nสีน้ำมัน\nสีโปสเตอร์\nสีฝุ่น\nสี่เหลี่ยม\nสีหน้า\nสึกหรอ\nสืบทอด\nสืบค้น\nสืบสวน\nสืบสาว\nสืบเสาะ\nสื่อผสม\nสื่อมวลชน\nสื่อสาร\nสุกงอม\nสุกดิบ\nสุกปลั่ง\nสุกใส\nสุขนาฏกรรม\nสุขภัณฑ์\nสุขภาพ\nสุขลักษณะ\nสุขวิทยา\nสุขศาลา\nสุขศึกษา\nสุดท้าย\nสุตกวี\nสุนทรพจน์\nสุภาพชน\nสู่ขอ\nสู่รู้\nสู่สม\nสูงส่ง\nสูญเปล่า\nสูญสิ้น\nสูญเสีย\nสูญหาย\nเสสรวล\nเสแสร้ง\nเสกสรร\nเสถียรภาพ\nเส้นชัย\nเส้นตรง\nเส้นตาย\nเส้นทาง\nเส้นใย\nเส้นรุ้ง\nเส้นเลือด\nเส้นแวง\nเส้นสาย\nเส้นเสียง\nเส้นหมี่\nเส้นเอ็น\nเสบียงกรัง\nเสมอภาค\nเสมอหน้า\nเสมอเหมือน\nเสมียนตรา\nเสร็จสรรพ\nเสร็จสิ้น\nเสริมส่ง\nเสริมสร้าง\nเสริมสวย\nเสรีไทย\nเสรีธรรม\nเสรีนิยม\nเสรีภาพ\nเสาเข็ม\nเสาธง\nเสียใจ\nเสียเชิง\nเสียดาย\nเสียที\nเสียเที่ยว\nเสียเปรียบ\nเสียเปล่า\nเสียรู้\nเสียแรง\nเสียสละ\nเสียหลัก\nเสียหาย\nเสี่ยงทาย\nเสียดแทง\nเสียดแทรก\nเสียดสี\nเสี้ยนศึก\nเสี้ยนหนาม\nเสี้ยมสอน\nเสียวซ่าน\nเสียวไส้\nเสือดาว\nเสือดำ\nเสือปลา\nเสือป่า\nเสือไฟ\nเสื่อกก\nเสื่อกระจูด\nเสื่อน้ำมัน\nเสื่อลำแพน\nเสื้อกล้าม\nเสื้อกั๊ก\nเสื้อเกราะ\nเสื้อครุย\nเสื้อแสง\nเสื้อเมือง\nเสือกคลาน\nเสือกสน\nเสือกไส\nเสื่อมคลาย\nเสื่อมถอย\nเสื่อมทราม\nเสื่อมโทรม\nเสื่อมสลาย\nเสื่อมสูญ\nเสื่อมเสีย\nเสือหมอบ\nแสกหน้า\nแสดงออก\nแสเถา\nแสนกล\nแสนรู้\nแสร้งว่า\nใส่ความ\nใส่ไคล้\nใส่ใจ\nใส่ไฟ\nไส้กรอก\nไส้ไก่\nไส้ติ่ง\nไส้ศึก\nไส้อั่ว\nไส้เดือน\nไส้ตัน\nไสยเวท\nไสยศาสตร์\nหกล้ม\nหงส์หยก\nหงอนไก่\nหงอยก๋อย\nหงอยเหงา\nหงายท้อง\nหงายหลัง\nหงำเหงอะ\nหงำเหงือก\nหดหาย\nหดหู่\nหนทาง\nหนวกหู\nหน่วงเหนี่ยว\nหน่วยก้าน\nหน่อไม้\nหนองใน\nหนองแซง\nหนักข้อ\nหนักใจ\nหนักแน่น\nหนักหน่วง\nหนักหนา\nหนังกลับ\nหนังตะลุง\nหนังเรียด\nหนังสด\nหนังใหญ่\nหนังสือพิมพ์\nหนาแน่น\nหน้ากระดาน\nหน้ากาก\nหน้ากาฬ\nหน้าแข้ง\nหน้าจั่ว\nหน้าฉาน\nหน้าตัก\nหน้าตา\nหน้าต่าง\nหน้าท้อง\nหน้าทับ\nหน้าที่\nหน้าที่นั่ง\nหน้าบัน\nหน้าปัด\nหน้าผา\nหน้าผาก\nหน้าม้า\nหน้ามุข\nหน้าไม้\nหน้าเลือด\nหน้าอก\nหนามเตย\nหน่ายหนี\nหน่ายแหนง\nหนาวเหน็บ\nหนำใจ\nหนี้สิน\nหนี้ส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น\nกณิกนันต์\nกณิการ์\nกด\nกตเวทิตา\nกตเวที\nกตัญชลี\nกตัญญุตา\nกตัญญู\nกตาธิการ\nกตาภินิหาร\nกติกา\nกถา\nกถิกาจารย์\nกทลี\nกน\nก่น\nก้น\nกนก\nกนิษฐ์\nกนิษฐา\nกบ\nกบฏ\nกบดาน\nกบทู\nกบาล\nกบินทร์\nกบิล\nกบี่\nกบูร\nกเบนทร์\nกม\nก้ม\nกมณฑลาภิเษก\nกมณฑโลทก\nกมล\nกมลา\nกมลาศ\nกมลาสน์\nกมเลศ\nกมัณฑลุ\nกมุท\nกร\nกรกฎ\nกรกฎาคม\nกรกฏ\nกรง\nกรชกาย\nกรณฑ์\nกรณิการ์\nกรณี\nกรณีย์\nกรณียกิจ\nกรณียะ\nกรด\nกรน\nกรบ\nกรบูร\nกรพินธุ์\nกรม\nกรรกฎ\nกรรกศ\nกรรเกด\nกรรไกร\nกรรเจียก\nกรรชิง\nกรรเชียง\nกรรโชก\nกรรฐ์\nกรรฐา\nกรรณ\nกรรณา\nกรรณิกา\nกรรณิการ์\nกรรดิ\nกรรดิก\nกรรดึก\nกรรตุ\nกรรไตร\nกรรทบ\nกรรแทก\nกรรบิด\nกรรบูร\nกรรภิรมย์\nกรรม\nกรรม์\nกรรม์ภิรมย์\nกรรมชวาต\nกรรมัชวาต\nกรรมาชีพ\nกรรมาธิการ\nกรรมาร\nกรรษก\nกรรสะ\nกรรแสง\nกรวด\nกรวบ\nกรวม\nกร้วม\nกรวย\nกรวิก\nกรสาปน์\nกรสุทธิ์\nกรอ\nกร้อ\nกรอก\nกร็อกกร๋อย\nกรอกแกรก\nกรอง\nกรองกรอย\nกรอด\nกร่อน\nกรอบ\nกรอม\nกร่อย\nกระ\nกระกร\nกระกรุ่น\nกระกลับกลอก\nกระกี้\nกระเกรอก\nกระเกริก\nกระเกริ่น\nกระคน\nกระคาย\nกระงกกระเงิ่น\nกระง่องกระแง่ง\nกระง่อนกระแง่น\nกระเง้ากระงอด\nกระโงก\nกระจก\nกระจง\nกระจร\nกระจอก\nกระจองหง่อง\nกระจ๋องหง่อง\nกระจองอแง\nกระจ้อน\nกระจอนหู\nกระจ้อย\nกระจ๋อหวอ\nกระจะ\nกระจัก\nกระจัง\nกระจัด\nกระจับ\nกระจ่า\nกระจ่าง\nกระจาด\nกระจาน\nกระจาบ\nกระจาม\nกระจาย\nกระจาว\nกระจิก\nกระจิ๋ง\nกระจิด\nกระจิบ\nกระจิ๋ม\nกระจิริด\nกระจิ๋ว\nกระจี้\nกระจี๋\nกระจุก\nกระจุ๋งกระจิ๋ง\nกระจุบ\nกระจุ๊บ\nกระจุ๋มกระจิ๋ม\nกระจุย\nกระจู้\nกระจู๋กระจี๋\nกระจูด\nกระเจอะกระเจิง\nกระเจา\nกระเจ่า\nกระเจ้า\nกระเจาะ\nกระเจิง\nกระเจิดกระเจิง\nกระเจี้ยง\nกระเจี๊ยบ\nกระเจียว\nกระเจี๊ยว\nกระแจะ\nกระโจน\nกระโจม\nกระฉอก\nกระฉ่อน\nกระฉับกระเฉง\nกระฉิ่ง\nกระฉีก\nกระฉูด\nกระเฉก\nกระเฉด\nกระแฉก\nกระโฉกกระเฉก\nกระโฉม\nกระชดกระช้อย\nกระชอน\nกระชอมดอก\nกระช้อย\nกระชัง\nกระชั้น\nกระชับ\nกระชาก\nกระชาย\nกระชิง\nกระชิด\nกระชุ\nกระชุก\nกระชุ่มกระชวย\nกระเชอ\nกระเชา\nกระเช้า\nกระเชียง\nกระแชง\nกระแชะ\nกระโชก\nกระซ่องกระแซ่ง\nกระซับ\nกระซาบ\nกระซิก\nกระซิบ\nกระซี้\nกระซุง\nกระซุบกระซิบ\nกระซุ้ม\nกระซู่\nกระเซ็น\nกระเซอ\nกระเซอะกระเซอ\nกระเซอะกระเซิง\nกระเซ้า\nกระเซิง\nกระแซ\nกระแซะ\nกระโซกระเซ\nกระฎี\nกระฎุมพี\nกระดก\nกระด้ง\nกระดนโด่\nกระดวง\nกระดวน\nกระด้วมกระเดี้ยม\nกระดอ\nกระดอง\nกระดองหาย\nกระดอน\nกระดอม\nกระดักกระเดี้ย\nกระดังงัว\nกระดังงา\nกระดาก\nกระด้าง\nกระดางลาง\nกระดาด\nกระดาดขาว\nกระดาน\nกระดานพน\nกระดาษ\nกระดำกระด่าง\nกระดิก\nกระดิ่ง\nกระดิ้ง\nกระดิบ\nกระดี่\nกระดี้กระเดียม\nกระดึง\nกระดืบ\nกระดุ\nกระดุกกระดิก\nกระดุ้งกระดิ้ง\nกระดุบ\nกระดุบกระดิบ\nกระดุม\nกระดูก\nกระเดก\nกระเด้ง\nกระเด็น\nกระเด้า\nกระเดาะ\nกระเดิด\nกระเดี้ย\nกระเดียด\nกระเดือก\nกระเดื่อง\nกระแด็ก\nกระแด้ง\nกระแด้แร่\nกระแด่ว\nกระแดะ\nกระโดก\nกระโดง\nกระโดด\nกระโดน\nกระได\nกระตรับ\nกระตราก\nกระตรุด\nกระตรุม\nกระต้วมกระเตี้ยม\nกระต้อ\nกระต่องกระแต่ง\nกระต๊อบ\nกระต้อยตีวิด\nกระตัก\nกระตั้ว\nกระต่าย\nกระติก\nกระติ๊ด\nกระติบ\nกระตือรือร้น\nกระตุก\nกระตุ้งกระติ้ง\nกระตุ่น\nกระตุ้น\nกระตูบ\nกระเตง\nกระเต็น\nกระเตอะ\nกระเตาะ\nกระเตาะกระแตะ\nกระเตื้อง\nกระแต\nกระแตแต้แว้ด\nกระโตกกระตาก\nกระโตน\nกระถด\nกระถอบ\nกระถั่ว\nกระถาง\nกระถิก\nกระถิน\nกระเถิบ\nกระโถน\nกระทก\nกระทง\nกระทบ\nกระทรวง\nกระทอก\nกระท้อน\nกระท่อนกระแท่น\nกระท่อม\nกระท้อมกระแท้ม\nกระทะ\nกระทั่ง\nกระทั้น\nกระทา\nกระทาย\nกระทาสี\nกระทาหอง\nกระทำ\nกระทิกกระทวย\nกระทิง\nกระทึง\nกระทืบ\nกระทุ\nกระทุง\nกระทุ้ง\nกระทุ่ม\nกระทู้\nกระเท่\nกระเทียบ\nกระเทียม\nกระเทือน\nกระเทื้อม\nกระแทก\nกระแท่น\nกระแทะ\nกระไทชาย\nกระน่อง\nกระนั้น\nกระนี้\nกระแนะกระแหน\nกระโน้น\nกระไน\nกระบก\nกระบม\nกระบวน\nกระบวย\nกระบวร\nกระบอก\nกระบอง\nกระบะ\nกระบัด\nกระบั้วกระเบี้ย\nกระบ่า\nกระบ้า\nกระบาก\nกระบาย\nกระบาล\nกระบิ\nกระบิ้ง\nกระบิด\nกระบิล\nกระบี่\nกระบือ\nกระบุง\nกระบุ่มกระบ่าม\nกระบู้กระบี้\nกระบูน\nกระบูร\nกระเบง\nกระเบญ\nกระเบ็ดกระบวน\nกระเบน\nกระเบา\nกระเบิก\nกระเบียด\nกระเบียน\nกระเบื้อง\nกระแบก\nกระแบะ\nกระโบม\nกระปมกระปำ\nกระปมกระเปา\nกระปรอก\nกระปรอกว่าว\nกระปรี้กระเปร่า\nกระปอก\nกระป้อกระแป้\nกระป่อง\nกระป๋อง\nกระปอดกระแปด\nกระป๋อหลอ\nกระปั้วกระเปี้ย\nกระป่ำ\nกระปุก\nกระปุ๊กลุก\nกระปุ่ม\nกระปุ่มกระป่ำ\nกระปุ่มกระปิ่ม\nกระเป๋า\nกระเปาะ\nกระโปก\nกระโปรง\nกระผม\nกระผลีกระผลาม\nกระผาน\nกระผีก\nกระพรวน\nกระพริ้ม\nกระพอก\nกระพอง\nกระพ้อม\nกระพัก\nกระพัง\nกระพังเหิร\nกระพังโหม\nกระพัด\nกระพัตร\nกระพัน\nกระพั่น\nกระพา\nกระพาก\nกระพี้\nกระพือ\nกระพุ้ง\nกระพุ่ม\nกระเพาะ\nกระเพิง\nกระเพื่อม\nกระแพ้ง\nกระฟัดกระเฟียด\nกระฟูมกระฟาย\nกระมล\nกระมอบ\nกระมอมกระแมม\nกระมัง\nกระมัน\nกระมิดกระเมี้ยน\nกระมุท\nกระเมาะ\nกระย่อง\nกระย่องกระแย่ง\nกระย่อน\nกระย่อม\nกระยา\nกระยาง\nกระยาจก\nกระยาหงัน\nกระยิก\nกระยิ้มกระย่อง\nกระยึกกระยือ\nกระยืดกระยาด\nกระเย้อกระแหย่ง\nกระรอก\nกระเรียน\nกระโรกน้ำข้าว\nกระโรกใหญ่\nกระไร\nกระลด\nกระลบ\nกระลอก\nกระลอม\nกระละหล่ำ\nกระลัด\nกระลับ\nกระลัมพร\nกระลา\nกระลำ\nกระลำพัก\nกระลำพุก\nกระลิง\nกระลี\nกระลุมพาง\nกระลุมพุก\nกระลุมพู\nกระลูน\nกระลู่น์\nกระเล็น\nกระเลียด\nกระเลือก\nกระโลง\nกระวน\nกระวัด\nกระวาด\nกระวาน\nกระวาย\nกระวิน\nกระวี\nกระวีกระวาด\nกระวูดกระวาด\nกระเวน\nกระเวยกระวาย\nกระแวน\nกระโวยกระวาย\nกระษัย\nกระษาปณ์\nกระสง\nกระสบ\nกระสม\nกระสรวล\nกระสร้อย\nกระสวน\nกระสวย\nกระสอบ\nกระสะ\nกระสัง\nกระสัน\nกระสับกระส่าย\nกระสา\nกระสานติ์\nกระสาบ\nกระสาย\nกระสือ\nกระสุงกระสิง\nกระส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ทิง\nกากะเยีย\nกากี\nกาง\nก้าง\nกางเกง\nกางเขน\nก๊าซ\nกาซะลอง\nกาญจนา\nกาฐ\nกาด\nก๊าด\nกาน\nก่าน\nก้าน\nก๊าน\nกานดา\nกานต์\nกานน\nก้านพร้าว\nกานพลู\nกาน้า\nกาบ\nก้าบ\nกาบู\nกาพย์\nกาเฟอีน\nกาแฟ\nกาม\nก้าม\nกามารมณ์\nกามินี\nกาเมสุมิจฉาจาร\nกาย\nก่าย\nกาเยน\nการ\nการณ์\nการ์ด\nการ์ตูน\nการบูร\nการย์\nการวิก\nการเวก\nการะเกด\nการะบุหนิง\nการัณย์\nการันต์\nการางหัวขวาน\nการิตการก\nการิตวาจก\nการุญ\nการุณย์\nกาเรการ่อน\nกาล\nกาลกรรณี\nกาลกิณี\nกาลจักร\nกาลัญญุตา\nกาลัญญู\nกาลัด\nกาลานุกาล\nกาลิก\nกาลี\nกาแล\nกาแล็กซี\nกาแล็กโทส\nกาว\nก้าว\nกาววาว\nกาวาง\nกาแวน\nกาศิก\nกาษฐะ\nกาษา\nกาสร\nกาสะ\nกาสา\nกาสาร\nกาสาวะ\nกาสิโน\nกาหล\nกาหลง\nกาหลา\nกาเหว่า\nกาไหล่\nกาฬ\nกาฬาวก\nกาฮัง\nกำ\nก่ำ\nกำกวม\nกำกัด\nกำกับ\nก้ำกึ่ง\nกำกูน\nก้ำเกิน\nกำเกียง\nกำคูน\nกำจร\nกำจัด\nกำจาย\nกำชับ\nกำชำ\nกำซาบ\nกำซำ\nกำด้น\nกำดัด\nกำดาล\nกำเดา\nกำธร\nกำนล\nกำนัน\nกำนัล\nกำเนิด\nกำบัง\nก่ำบึ้ง\nกำเบ้อ\nกำปอ\nกำปั่น\nกำผลา\nกำพง\nกำพด\nกำพต\nกำพร้า\nกำพราก\nกำพวด\nกำพอง\nกำพืด\nกำพุด\nกำพู\nกำเพลิง\nกำแพง\nกำภู\nกำมลาศน์\nกำมเลศ\nกำมะถัน\nกำมะลอ\nกำมะหยี่\nกำมะหริด\nกำมังละการ\nกำมังวิลิต\nกำมัชพล\nกำยาน\nกำยำ\nกำรอ\nกำราบ\nกำราล\nกำเริบ\nกำไร\nกำลัง\nกำลุง\nกำเลา\nกำไล\nกำสรด\nกำสรวล\nกำหนด\nกำหนัด\nกำเหน็จ\nกำแหง\nกิก\nกิ๊ก\nกิ่ง\nกิ้งก่า\nกิ้งกือ\nกิ้งโครง\nกิจ\nกิจจะ\nกิจจา\nกิดาการ\nกิดาหยัน\nกิตติ\nกิตติมศักดิ์\nกิน\nกินนร\nกินปลี\nกินเปี้ยว\nกินริน\nกินรี\nกิ๊บ\nกิมตึ๋ง\nกิมิชาติ\nกิมิวิทยา\nกิโมโน\nกิโยตีน\nกิระ\nกิริณี\nกิรินท\nกิริเนศวร\nกิริยา\nกิเลน\nกิเลส\nกิโล\nกิโลมกะ\nกิ่ว\nกิ๋ว\nกี\nกี่\nกี้\nกี๊\nกี๋\nกีฏวิทยา\nกีด\nกีตาร์\nกีบ\nกีรติ\nกีฬา\nกึก\nกึง\nกึ่ง\nกึ๋น\nกุ\nกุก\nกุ๊ก\nกุกกุฏ\nกุกกุร\nกุกรรม\nกุ้ง\nกุงอน\nกุงาน\nกุโงก\nกุจี\nกุญแจ\nกุญชร\nกุฎ\nกุฎา\nกุฎี\nกุฎุมพี\nกุฏฐัง\nกุฏิ\nกุณฑ์\nกุณฑล\nกุณฑี\nกุณโฑ\nกุณาล\nกุณี\nกุด\nกุดัง\nกุดั่น\nกุดา\nกุทัณฑ์\nกุน\nกุ๊น\nกุนเชียง\nกุนที\nกุโนกามอ\nกุบ\nกุบกับ\nกุม\nกุ่ม\nกุมฝอย\nกุมภ์\nกุมภนิยา\nกุมภัณฑ์\nกุมภา\nกุมภิล\nกุมภีล์\nกุมเหง\nกุมาร\nกุมารา\nกุมารี\nกุมุท\nกุย\nกุ๊ย\nกุ๋ย\nกุยช่าย\nกุยเฮง\nกุรระ\nกุรุพินท์\nกุเรา\nกุล\nกุลา\nกุลาหล\nกุลี\nกุลีกุจอ\nกุเลา\nกุแล\nกุเวร\nกุศราช\nกุศล\nกุศโลบาย\nกุสุม\nกุสุมภ์\nกุสุมา\nกุสุมาลย์\nกุสุมิตลดาเวลลิตา\nกุหนี\nกุหนุง\nกุหร่า\nกุหล่า\nกุหลาบ\nกุแหละ\nกู\nกู่\nกู้\nกู๊ก\nกูฏ\nกูฏา\nกูณฑ์\nกูด\nกูบ\nกูปรี\nกูรมะ\nกูรมาวตาร\nเก\nเก้\nเก๊\nเก๋\nเกก\nเก๊ก\nเกกมะเหรก\nเก๊กฮวย\nเก้กัง\nเก็ง\nเก่ง\nเก้ง\nเก๋ง\nเกงกอย\nเก่งกาจ\nเกงเขง\nเก๋งเคง\nเก็จ\nเกจิอาจารย์\nเกชา\nเกณฑ์\nเกด\nเก็ด\nเกตุ\nเกน\nเก็บ\nเกม\nเกย\nเกยูร\nเกรง\nเกร็ง\nเกร็ด\nเกรน\nเกร่อ\nเกรอะ\nเกราะ\nเกริก\nเกริน\nเกริ่น\nเกรียก\nเกรียง\nเกรียด\nเกรียน\nเกรียบ\nเกรียม\nเกรียว\nเกรี้ยว\nเกเร\nเกล็ด\nเกลศ\nเกลอ\nเกลา\nเกล้า\nเกลาะ\nเกลี่ย\nเกลี้ย\nเกลียง\nเกลี้ยง\nเกลียด\nเกลียว\nเกลือ\nเกลื้อ\nเกลือก\nเกลื่อน\nเกลื้อน\nเกวัฏ\nเกวียน\nเกศ\nเกศว\nเกศวะ\nเกศา\nเกศินี\nเกศี\nเกษตร\nเกษม\nเกษียณ\nเกษียน\nเกษียร\nเกส\nเกสร\nเกสรี\nเกสา\nเกสี\nเก้อ\nเกอิชา\nเกะ\nเกะกะ\nเกา\nเก่า\nเก้า\nเก๋า\nเกาต์\nเกาทัณฑ์\nเกาบิล\nเกาลัด\nเกาลิน\nเกาไศย\nเกาหลี\nเกาเหลา\nเกาเหลียง\nเก้าอี้\nเกาะ\nเกิ้ง\nเกิด\nเกิน\nเกิบ\nเกีย\nเกียกกาย\nเกียง\nเกี่ยง\nเกี๋ยง\nเกียจ\nเกียด\nเกียน\nเกี้ยมไฉ่\nเกี้ยมอี๋\nเกียร์\nเกียรติ\nเกียรติ์\nเกี่ยว\nเกี้ยว\nเกี๊ยว\nเกี๊ยะ\nเกื้อ\nเกือก\nเกื้อกูล\nเกือบ\nแก\nแก่\nแก้\nแกง\nแก่ง\nแก้ง\nแก๊ง\nแกงได\nแกงแนง\nแกโดลิเนียม\nแกน\nแก่น\nแก๊ป\nแกม\nแก้ม\nแกมมา\nแกรก\nแกร่ง\nแกร็น\nแกรนิต\nแกรไฟต์\nแกร่ว\nแกระ\nแกล\nแกล้ง\nแกลน\nแกลบ\nแกล้ม\nแกลลอน\nแกลเลียม\nแกล้ว\nแกละ\nแกแล\nแกว\nแก้ว\nแกว่ง\nแก๊ส\nแกะ\nโก\nโก่\nโก้\nโก๋\nโกก\nโกกนุท\nโกกิลา\nโกโก้\nโกง\nโก่ง\nโกงกาง\nโก้งเก้ง\nโกงโก้\nโก้งโค้ง\nโกเชาว์\nโกญจนาท\nโกญจา\nโกฏิ\nโกฐ\nโกฐาส\nโกณะ\nโกดัง\nโกทัณฑ์\nโกน\nโก่น\nโก๋น\nโกมล\nโกมุท\nโกเมน\nโกเมศ\nโกย\nโกรก\nโกรกกราก\nโกรง\nโกร่ง\nโกร่งกร่าง\nโกรงเกรง\nโกร๋งเกร๋ง\nโกรญจ\nโกรต๋น\nโกรธ\nโกรธา\nโกร๋น\nโกรม\nโกรย\nโกรศ\nโกโรโกเต\nโกโรโกโรก\nโกโรโกโส\nโกลน\nโกลาหล\nโกไล\nโกวิท\nโกศ\nโกศล\nโกษม\nโกสน\nโกสัช\nโกสินทร์\nโกสีย์\nโกสุม\nโกไสย\nโกหก\nใกล้\nไก\nไก่\nไก๊\nไก๋\nไก่กอม\nไกพัล\nไกร\nไกรพ\nไกรลาส\nไกรศร\nไกรศรี\nไกรสร\nไกรสรี\nไกรสิทธิ\nไกล\nไกล่\nไกลาส\nไกว\nไกวัล\nขงจื๊อ\nขจร\nขจรจบ\nขจัด\nขจ่าง\nขจาย\nขจาว\nขจิต\nขจี\nขจุย\nขเจา\nขณะ\nขด\nขน\nข้น\nขนง\nขนด\nขนบ\nขนม\nขนอง\nขนอน\nขนอบ\nขนัด\nขนัน\nขนาก\nขนาง\nขนาด\nขนาน\nขนาบ\nขนาย\nขนำ\nขนิษฐ\nขนิษฐา\nขนุน\nขนุนนก\nขบ\nขบถ\nขบวน\nขบวร\nขม\nข่ม\nขมงโกรย\nขมวด\nขมวน\nขมอง\nขม่อม\nขมัง\nขมับ\nขมา\nขม้ำ\nขมิ้น\nขมิบ\nขมีขมัน\nขมึง\nขมึงทึง\nขมุ\nขมุกขมัว\nขมุบ\nขโมย\nขยด\nขยม\nขย่ม\nขยอก\nขยอง\nขย่อน\nขย้อน\nขยะ\nขยัก\nขยัน\nขยั้น\nขยับ\nขยาด\nขยาย\nขยำ\nขย้ำ\nขยิก\nขยิบ\nขยิ่ม\nขยี้\nขยุกขยิก\nขยุกขยุย\nขยุบ\nขยุบขยิบ\nขยุม\nขยุ้ม\nขยุย\nขรม\nขรรค์\nขรัว\nขริบ\nขรี\nขรึม\nขรุขระ\nขลบ\nขล้อ\nขลัง\nขลับ\nขลาด\nขลาย\nขลิบ\nขลุก\nขลุกขลัก\nขลุกขลิก\nขลุบ\nขลุม\nขลุ่ย\nขลู\nขลู่\nขวง\nข่วง\nขวด\nข่วน\nขวนขวาย\nขวบ\nขวย\nขวักไขว่\nขวัญ\nขวั้น\nขวับ\nขวับเขวียว\nขวา\nขวาก\nขวาง\nขว้าง\nขวาด\nขวาน\nขวายขวน\nขวาว\nขว้าว\nขวิด\nขอ\nข่อ\nข้อ\nของ\nข้อง\nขอด\nขอน\nข้อน\nขอบ\nขอม\nข่อย\nข้อย\nข่อยหยอง\nขะแจะ\nขะเน็ด\nขะมอมขะแมม\nขะมักเขม้น\nขะมุกขะมอม\nขะยิก\nขะยุก\nขะเย้อแขย่ง\nขัค\nขัง\nขังขอก\nขัช\nขัณฑสกร\nขัณฑสีมา\nขัด\nขัดมอน\nขัตติยมานะ\nขัน\nขั้น\nขันติ\nขันตี\nขันโตก\nขันที\nขันธ์\nขันธาวาร\nขับ\nขัว\nขั้ว\nขา\nข่า\nข้า\nขาก\nขาก๊วย\nขาง\nข่าง\nข้าง\nขาณุ\nขาด\nขาทนียะ\nขาน\nขาบ\nข้าพเจ้า\nขาม\nข่าม\nข้าม\nขาย\nข่าย\nขาล\nขาว\nข่าว\nข้าว\nข้าวอังกุลี\nขำ\nขิก\nขิง\nขิงแกลง\nขิงแครง\nขิด\nขิปสัทโท\nขิม\nขี่\nขี้\nขี้เข็บ\nขีณาสพ\nขีด\nขี้ตังนี\nขีปนาวุธ\nขี้ยอก\nขีระ\nขึง\nขึ้ง\nขึ้น\nขึ้นฉ่าย\nขืน\nขื่น\nขื่อ\nขุก\nขุด\nขุน\nขุ่น\nขุนเพ็ด\nขุม\nขุย\nขู่\nขูด\nเข\nเข้\nเขก\nเข็ง\nเข่ง\nเขจร\nเข็ญ\nเข็ด\nเขดา\nเขต\nเขน\nเข็น\nเข่น\nเขนง\nเขน็ด\nเขนย\nเขบ็จขบวน\nเขบ็ต\nเขม\nเข็ม\nเข้ม\nเข้มขาบ\nเขม็ง\nเขม็ดแขม่\nเขม่น\nเขม้น\nเขม้นขะมัก\nเขมร\nเขมา\nเขม่า\nเขมือบ\nเขย\nเขยก\nเขย่ง\nเขย้อแขย่ง\nเขย่า\nเขยิน\nเขยิบ\nเขยื้อน\nเขรอะ\nเขลง\nเขลอะ\nเขละ\nเขลา\nเขลาะ\nเขว\nเขษม\nเขฬะ\nเขะขะ\nเขา\nเข่า\nเข้า\nเขิง\nเขิน\nเขิบ\nเขี่ย\nเขียง\nเขียด\nเขียดตะปาด\nเขียน\nเขี่ยน\nเขียม\nเขียว\nเขี้ยว\nเขียะ\nเขือ\nเขือง\nเขื่อง\nเขื่อน\nเขือม\nแข\nแข้\nแขก\nแข็ง\nแข่ง\nแข้ง\nแขน\nแข่น\nแข้น\nแขนง\nแขม\nแขม็บ\nแขม่ว\nแขยง\nแขย่ง\nแขวก\nแขวง\nแขวน\nแขวะ\nโข\nโขก\nโขง\nโข่ง\nโขด\nโขดง\nโขน\nโขนง\nโขม\nโขมง\nโขมด\nโขยก\nโขยง\nโขย่ง\nโขยด\nโขลก\nโขลง\nโขลน\nโขษม\nไข\nไข่\nไข้\nไขว่\nไขว้\nคคนะ\nคคนัมพร\nคคนางค์\nคคนานต์\nคง\nคงคา\nคงไคย\nคช\nคชาชาติ\nคชาชีพ\nคชาธาร\nคชาภรณ์\nคณนา\nคณบดี\nคณะ\nคณาจารย์\nคณาธิการ\nคณาธิปไตย\nคณานับ\nคณิกา\nคณิต\nคเณศ\nคด\nคดี\nคติ\nคทา\nคน\nค้น\nคนทา\nคนทิสอ\nคนที\nคนโท\nคนธ์\nคันธ์\nคนธรรพ์\nคเนจร\nคบ\nคม\nคมน์\nคมนาการ\nคมนาคม\nคมิกภัต\nครก\nครบ\nครรชิต\nครรภ\nครรภ์\nครรลอง\nครรโลง\nครรไล\nครวญ\nครวี\nครหา\nครอก\nครอง\nครองแครง\nคร่อเงาะ\nคร่อเทียน\nครอบ\nคร่อม\nคระเมิม\nคระแลง\nคระไล\nคระแวง\nคระหน\nคระหวน\nคระหาย\nคระโหย\nครั่ง\nครั้ง\nครัดเคร่ง\nครัน\nครั่น\nครั้น\nครับ\nครัว\nครา\nคร่า\nคราก\nคราง\nคราญ\nคราด\nคร้าน\nคราบ\nคราม\nคร้าม\nครามครัน\nคราว\nคร่าว\nคราส\nครำ\nคร่ำ\nคร่ำเคร่ง\nคริปทอน\nคริสต์\nครีบ\nครีม\nครีษมายัน\nครึ\nครึกครื้น\nครึกโครม\nครึ่ง\nครึ่ด\nครึน\nครึ้ม\nครืด\nครืน\nครื้น\nครืนครั่น\nครื้นครั่น\nครื้นครึก\nครื้นเครง\nครือ\nครุ\nครุคระ\nครุฑ\nครุ่น\nครุมเครือ\nครุย\nครุวนา\nครู\nครู่\nครูด\nคฤโฆษ\nคฤนถ์\nคฤหบดี\nคฤหัสถ์\nคฤหาสน์\nคลวง\nคลอ\nคล้อ\nคลอก\nคลอง\nคล่อง\nคล้อง\nคลอด\nคลอน\nคล้อย\nคลอรีน\nคลอโรฟอร์ม\nคลอโรฟีลล์\nคละ\nคละคลุ้ง\nคลัก\nคลั่ก\nคลัง\nคลั่ง\nคลัตช์\nคลับคล้าย\nคลับคลา\nคลา\nคล้า\nคลางแคลง\nคลาด\nคลาน\nคลาย\nคล้าย\nคล้ายคลึง\nคล่าว\nคลำ\nคล่ำ\nคล้ำ\nคลิ้งโคลง\nคลิด\nคลินิก\nคลี\nคลี่\nคลึง\nคลื่น\nคลุก\nคลุ้ง\nคลุบ\nคลุม\nคลุ่ม\nคลุ้ม\nควง\nควณ\nควน\nควบ\nควย\nควร\nควัก\nควั่ก\nควั่งคว้าง\nควัน\nควั่น\nคว้า\nควาก\nคว้าง\nควาญ\nควาน\nคว้าน\nความ\nควาย\nคว่าว\nคว่ำ\nควินิน\nควิวคว่าง\nคหกรรม\nคหกรรมศาสตร์\nคหบดี\nคหัฐ\nคอ\nค้อ\nคอก\nค็อกคัส\nค็อกเทล\nคอเคซอยด์\nค่องอ้อย\nคอด\nคอแดง\nคอน\nค่อน\nค้อน\nคอนกรีต\nคอนเดนเซอร์\nคอนแวนต์\nคอนเสิร์ต\nคอม\nค่อม\nค้อม\nคอมพิวเตอร์\nคอมมานโด\nคอมมิวนิสต์\nคอย\nค่อย\nค้อย\nคอยล์\nคอร์ด\nคอแลน\nคอสติกโซดา\nคะ\nค่ะ\nคะไขว่\nคะค้อย\nคะคาน\nคะนน\nคะนอง\nคะน้า\nคะนึง\nคะเน\nคะเนงร้าย\nคะเน็ด\nคะแนน\nคะมำ\nคะยั้นคะยอ\nคะเยอ\nคัก\nคั่ก\nคัคนะ\nคัคนัมพร\nคัคนางค์\nคัคนานต์\nคั่ง\nคังไคย\nคัจฉ\nคัณฑมาลา\nคัณฑสูตร\nคัด\nคัดเค้า\nคัดมอน\nคัดเม็ง\nคัทลียา\nคัน\nคั่น\nคั้น\nคันถรจนาจารย์\nคันธกุฎี\nคันธมาทน์\nคันธารราษฎร์\nคับ\nคับค้อน\nคับคา\nคับแค\nคัพภ์\nคัมภีร์\nคัมภีรภาพ\nคัล\nคั่ว\nคา\nค่า\nค้า\nค่าคบ\nคาง\nค่าง\nค้าง\nคางคก\nค้างคาว\nคาด\nคาถา\nคาทอลิก\nคาน\nค้าน\nคาบ\nคาพยุต\nคาม\nคามวาสี\nคามณีย์\nคามภีร์\nคาย\nค่าย\nคาร์บอน\nคาร์บอเนต\nคาร์บอลิก\nคาร์บูเรเตอร์\nคาร์โบรันดัม\nคาร์โบไฮเดรต\nคารม\nคารวะ\nคาราเต้\nคาราวาน\nคาว\nค่าว\nค้าว\nคาวตอง\nคาวี\nคาวุต\nคาส\nคำ\nค่ำ\nค้ำ\nคำนวณ\nคำนวร\nคำนับ\nคำนัล\nคำนึง\nคำนูณ\nคำฝอย\nคำเพลิง\nคำรน\nคำรบ\nคำราม\nคำแสด\nคำแหง\nคำโอง\nคิก\nคิง\nคิด\nคิมหันต์\nคิรี\nคิลาน\nคิลานะ\nคิว\nคิ้ว\nคี่\nคีต\nคีบ\nคีม\nคีรี\nคีรีบูน\nคึก\nคึ่ก\nคึกคัก\nคืน\nคืบ\nคือ\nคุ\nคุก\nคุกกี้\nคุกคาม\nคุกพาทย์\nคุ้ง\nคุณ\nคุด\nคุดทะราด\nคุต\nคุตติ\nคุ่น\nคุ้น\nคุป\nคุปต์\nคุปติ\nคุม\nคุ่ม\nคุ้ม\nคุย\nคุ้ย\nคุยหฐาน\nคุยหประเทศ\nคุรุ\nคุลา\nคุลิก่า\nคุลีการ\nคุหา\nคู\nคู่\nคู้\nคูณ\nคูถ\nคูน\nคูปอง\nคูเรียม\nคูหา\nเค้ก\nเค้เก้\nเค้ง\nเคณฑะ\nเคด\nเค็ด\nเคน\nเค้น\nเคเบิล\nเค็ม\nเคมี\nเคย\nเครง\nเคร่ง\nเครงครา\nเครงครำ\nเครดิต\nเครน\nเครา\nเคร่า\nเคราหณี\nเคราะห์\nเครียด\nเครียว\nเครือ\nเครื่อง\nเคล้ง\nเคล็ด\nเคล้น\nเคล้า\nเคล่าคล่อง\nเคลิบเคลิ้ม\nเคลิ้ม\nเคลีย\nเคลื่อน\nเคลือบ\nเคว้ง\nเคหะ\nเคหา\nเคอะ\nเค้า\nเคาน์เตอร์\nเคารพ\nเคาะ\nเคาะแคะ\nเคียง\nเคียด\nเคียน\nเคียม\nเคี่ยม\nเคียร\nเคียว\nเคี่ยว\nเคี้ยว\nเคือง\nแค\nแค่\nแค้\nแคแล\nแคดเมียม\nแค็ตตาล็อก\nแคแตร\nแคโทด\nแคน\nแค่น\nแค้น\nแคบ\nแคบหมู\nแคปซูล\nแคม\nแคร่\nแครก\nแครง\nแคระ\nแคลคูลัส\nแคลง\nแคลเซียม\nแคลน\nแคล้ว\nแคล่วคล่อง\nแคลอรี\nแคลิฟอร์เนียม\nแคว\nแควก\nแคว้น\nแคแสด\nแคะ\nโค\nโคก\nโคเคน\nโค่ง\nโค้ง\nโคจร\nโคเซแคนต์\nโคไซน์\nโคตร\nโคแทนเจนต์\nโคธา\nโคน\nโค่น\nโคบอลต์\nโคปผกะ\nโคม\nโคม่า\nโครก\nโครกคราก\nโครง\nโคร่ง\nโคร่งคร่าง\nโครม\nโครเมียม\nโครโมโซม\nโคราช\nโครำ\nโคล\nโคลง\nโคลน\nโควตา\nโคออร์ดิเนต\nใคร\nใคร่\nใคร่ครวญ\nไค\nไค้\nไคร้\nไคร้เครือ\nไคล\nไคล้\nฆนะ\nฆราวาส\nฆ้อง\nฆ่า\nฆาต\nฆาน\nฆานินทรีย์\nเฆี่ยน\nโฆรวิส\nโฆษก\nโฆษณา\nโฆษะ\nโฆษ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nเฉ่ง\nเฉด\nเฉท\nเฉนียน\nเฉพาะ\nเฉย\nเฉลย\nเฉลว\nเฉลา\nเฉลิม\nเฉลี่ย\nเฉลียง\nเฉลี่ยง\nเฉลียบ\nเฉลียว\nเฉวียง\nเฉวียน\nเฉอะแฉะ\nเฉา\nเฉาก๊วย\nเฉาฮื้อ\nเฉาะ\nเฉิด\nเฉิบ\nเฉียง\nเฉียงพร้านางแอ\nเฉียด\nเฉียบ\nเฉียว\nเฉี่ยว\nเฉือน\nเฉื่อย\nแฉ\nแฉ่\nแฉก\nแฉง\nแฉ่ง\nแฉลบ\nแฉล้ม\nแฉะ\nโฉ\nโฉ่\nโฉเก\nโฉ่งฉ่าง\nโฉงเฉง\nโฉด\nโฉนด\nโฉบ\nโฉเบ๊\nโฉม\nโฉลก\nไฉน\nไฉไล\nชก\nชคัตตรัย\nชง\nชงโค\nชงฆ์\nชงฆา\nชงโลง\nชฎา\nชฎามังษี\nชฎามังสี\nชฎิล\nชด\nชน\nชนก\nชนนี\nชนม์\nชนวน\nชนะ\nชนัก\nชนา\nชนาง\nชนิด\nชเนตตี\nชบา\nชม\nชมดชม้อย\nชมนาด\nชมพู\nชมพู่\nชมรม\nชม้อย\nชม้าย\nชไม\nชยา\nชโย\nชรทึง\nชรริน\nชรอุ่ม\nชระล้ำ\nชระลุ\nชระอาบ\nชระเอม\nชรัด\nชรา\nชล\nชโลง\nชโลม\nช่วง\nชวด\nชวน\nชวย\nช่วย\nชวร\nชวลิต\nชวา\nชวาล\nชวาลา\nช่อ\nชอก\nช็อก\nช็อกโกเลต\nช็อกโกแลต\nชอง\nช่อง\nช้อง\nชองระอา\nชอน\nช่อน\nช้อน\nชอบ\nชอม\nช้อย\nชอล์ก\nชอ่ำ\nชอุ่ม\nชะ\nชะคราม\nชะงอก\nชะง่อน\nชะงัก\nชะงัด\nชะง้ำ\nชะงุ้ม\nชะเง้อ\nชะเงื้อม\nชะแง้\nชะโงก\nชะฉ่า\nชะช่อง\nชะชะ\nชะช้า\nชะโด\nชะตา\nชะต้า\nชะนี\nชะเนาะ\nชะเนียง\nชะพลู\nชะเพลิง\nชะมด\nชะมบ\nชะมวง\nชะมัง\nชะมัด\nชะแม่\nชะรอย\nชะลอ\nชะลอม\nชะล่า\nชะลาน\nชะลิน\nชะลูด\nชะเลง\nชะเลย\nชะแล็ก\nชะแลง\nชะวาก\nชะวาด\nชะเวิกชะวาก\nชะแวง\nชะอม\nชะอ้อน\nชะเอม\nชะโอน\nชัก\nชักคราม\nชักช้า\nชัง\nชั่ง\nชังคา\nชังฆ\nชัชวาล\nชัฏ\nชัด\nชัดช้า\nชัน\nชั้น\nชันกาด\nชันชี\nชันตุ\nชันนะตุ\nชันนุ\nชันโรง\nชันษา\nชันสูตร\nชัปนะ\nชัพ\nชัมพูนท\nชัย\nชัยพฤกษ์\nชัยภูมิ\nชัลลุกา\nชั่ว\nชั้ว\nชัวชม\nชา\nช้า\nชาคระ\nชาคริต\nชาคริยานุโยค\nช่าง\nช้าง\nช้าช่อน\nชาญ\nชาด\nชาดก\nชาต\nชาตบุษย์\nชาตรี\nชาตะ\nชาตา\nชาติ\nชาน\nชานุ\nช้าปี่\nชาปีไหน\nช้าแป้น\nช้าพลู\nชาม\nชามพูนท\nชามาดร\nชามาดา\nชามาตุ\nชาย\nชายา\nชาล\nชาลา\nชาลินี\nช้าเลือด\nชาว\nชาวี\nชำ\nช่ำ\nช้ำ\nชำงัด\nชำงาย\nช่ำชอง\nชำนะ\nชำนัญ\nชำนัน\nชำนาญ\nชำนิ\nชำเนียร\nชำมะนาด\nชำมะเลียง\nชำร่วย\nชำระ\nช้ำรั่ว\nชำรุด\nชำเรา\nชำเราะ\nชำแรก\nชำแระ\nชำเลือง\nชำแหละ\nชิ\nชิง\nชิ่ง\nชิงชัน\nชิงช้า\nชิงช้าชาลี\nชิงชี่\nชิงฮื้อ\nชิชะ\nชิชิ\nชิณณะ\nชิด\nชิเดนทรีย์\nชิต\nชิตินทรีย์\nชิน\nชิ้น\nชินโต\nชิโนรส\nชิม\nชิมแปนซี\nชิยา\nชิรณะ\nชิระ\nชิวหา\nชิสา\nชี\nชี่\nชี้\nชีปะขาว\nชีผะขาว\nชีผ้าขาว\nชีพ\nชีฟอง\nชีรณ\nชีระ\nชีวเคมี\nชีวประวัติ\nชีวภาพ\nชีววิทยา\nชีวะ\nชีวัน\nชีวา\nชีวาตม์\nชีวาลัย\nชีวิต\nชีวิตักษัย\nชีวิน\nชีวี\nชืด\nชื่น\nชื้น\nชื่อ\nชุก\nชุกชี\nชุ้ง\nชุณห\nชุด\nชุติ\nชุน\nชุบ\nชุม\nชุ่ม\nชุมนุม\nชุมพร\nชุมพา\nชุมแพรก\nชุมรุม\nชุมแสง\nชุมเห็ด\nชุ่ย\nชุลมุน\nชุลี\nชุษณะ\nชู\nชู้\nเช็ค\nเช้ง\nเช้งวับ\nเชงเลง\nเช็ด\nเชน\nเช่น\nเชย\nเชลง\nเชลย\nเชลแล็ก\nเชลียง\nเชวง\nเชษฐะ\nเชษฐา\nเชอ\nเช่า\nเช้า\nเชาว์\nเชาวน์\nเชิง\nเชิญ\nเชิด\nเชิ้ต\nเชียง\nเชี่ยน\nเชียบ\nเชี่ยม\nเชียร\nเชียร์\nเชียว\nเชี่ยว\nเชื่อ\nเชื้อ\nเชือก\nเชื่อง\nเชือด\nเชือน\nเชื่อม\nแช\nแช่\nแช่ง\nแชงมา\nแชบ๊วย\nแช่ม\nแชร์\nแชล่ม\nแชสซี\nแชะ\nโชก\nโชค\nโชงโลง\nโชดก\nโชดึก\nโชต\nโชตก\nโชติ\nโชติก\nโชน\nโชมโรม\nโชย\nโชยงการ\nโชยชาย\nโชยติส\nโชว์\nใช่\nใช้\nไช\nไชนะ\nไชย\nไชโย\nซก\nซ่ก\nซงดำ\nซ่งฮื้อ\nซด\nซน\nซ้น\nซบ\nซม\nซวดเซ\nซวน\nซวย\nซอ\nซอก\nซอง\nซ่อง\nซ้อง\nซองแมว\nซ้องแมว\nซอน\nซ่อน\nซ้อน\nซอม\nซ่อม\nซ้อม\nซอมซ่อ\nซอย\nซอส\nซัก\nซักส้าว\nซัง\nซั้ง\nซัด\nซับ\nซัลฟา\nซั้ว\nซา\nซ่า\nซาก\nซาง\nซ่าง\nซาด\nซาน\nซ่าน\nซาบซ่าน\nซาบซึ้ง\nซ่าโบะ\nซาแมเรียม\nซ้าย\nซาลาเปา\nซาว\nซ่าหริ่ม\nซำ\nซ้ำ\nซิ\nซี\nซิก\nซิกข์\nซิกซี้\nซิกแซ็ก\nซิการ์\nซิงโคนา\nซิ่น\nซินนามิก\nซินแส\nซิบ\nซิป\nซิฟิลิส\nซิลิคอน\nซิว\nซี่\nซีก\nซีเซียม\nซีด\nซี้ด\nซีนอน\nซีป่าย\nซีเมนต์\nซีเรียม\nซีลีเนียม\nซีอิ๊ว\nซึก\nซึง\nซึ่ง\nซึ้ง\nซึม\nซื่อ\nซื้อ\nซุก\nซุง\nซุน\nซุบ\nซุป\nซุ่ม\nซุ้ม\nซุ่มซ่าม\nซุย\nซู่\nซูโครส\nซูด\nซู้ด\nซูดซาด\nซูบ\nเซ\nเซ็ก\nเซแคนต์\nเซ็ง\nเซ่ง\nเซ้ง\nเซ็งแซ่\nเซต\nเซน\nเซ็น\nเซ่น\nเซนติกรัม\nเซนติเกรด\nเซนติเมตร\nเซนติลิตร\nเซปักตะกร้อ\nเซราะ\nเซรุ่ม\nเซลเซียส\nเซลล์\nเซลลูลอยด์\nเซลลูโลส\nเซ่อ\nเซอร์โคเนียม\nเซอะ\nเซา\nเซ้าซี้\nเซาะ\nเซิง\nเซิ้ง\nเซียน\nเซียบ\nเซียมซี\nเซียว\nเซี่ยว\nเซี่ยวกาง\nเซื่อง\nแซ\nแซ่\nแซ็กคาริน\nแซง\nแซงแซว\nแซด\nแซบ\nแซม\nแซยิด\nแซ่ว\nแซะ\nโซ\nโซ่\nโซก\nโซ่ง\nโซงโขดง\nโซเซ\nโซดา\nโซเดียม\nโซม\nโซรม\nโซลา\nไซ\nไซ้\nไซเกิล\nไซโคลน\nไซน์\nไซยาไนด์\nไซร้\nไซเรน\nไซโล\nฌาน\nฌาปน\nฌาปนกิจ\nฌาปนสถาน\nเฌอ\nเฌอเอม\nญวน\nญัตติ\nญาณ\nญาติ\nญานาซะฮ์\nญิบ\nญี่ปุ่น\nเญยธรรม\nไญยธรรม\nฎีกา\nฐกัด\nฐากูร\nฐาน\nฐานะ\nฐานันดร\nฐานานุกรม\nฐานานุรูป\nฐานานุศักดิ์\nฐานียะ\nฐาปน\nฐาปนา\nฐายี\nฐิต\nฐิติ\nฑาหก\nฑาหะ\nเฒ่า\nณรงค์\nเณร\nดก\nดง\nด้ง\nด้น\nดนโด่\nดนตรี\nดนัย\nดนุ\nดนู\nดบัสวิน\nดบัสวี\nดม\nดรงค์\nดรณี\nดรรชนี\nดราฟต์\nดรุณ\nดรุณี\nดล\nดวง\nด้วง\nดวด\nด่วน\nด้วน\nด้วย\nดอก\nดอง\nด่อง\nด้อง\nดองฉาย\nดองดึง\nดอด\nดอน\nด่อน\nดอม\nด้อม\nดอย\nด้อย\nดอลลาร์\nดะ\nดะโต๊ะ\nดะหมัง\nดัก\nดักดาน\nดักแด้\nดัง\nดั่ง\nดั้ง\nดัชนี\nดัด\nดัตช์\nดัน\nดั้น\nดับ\nดัมพ์\nดั้วเดี้ย\nดัสกร\nดา\nด่า\nดาก\nด่าง\nด้าง\nดาด\nดาน\nด่าน\nด้าน\nดาบ\nดาบส\nดาม\nด้าม\nด้ามจิ้ว\nดามพ์\nดาย\nด้าย\nดารกะ\nดารณี\nดารดาษ\nดาระ\nดารา\nดาล\nดาลัด\nดาว\nด่าว\nด้าว\nดาวดึงส์\nดาวบส\nดาษ\nดาษดา\nดำ\nด่ำ\nด้ำ\nดำกล\nดำเกิง\nดำแคง\nดำดง\nดำนาณ\nดำเนิน\nดำบล\nดำรง\nดำรวจ\nดำรัส\nดำริ\nดำรี\nดำรู\nดำฤษณา\nดำเลิง\nดิก\nดิ่ง\nดิฉัน\nดิฐ\nดิตถ์\nดิถี\nดิน\nดิ้น\nดิบ\nดิรัจฉาน\nดิลก\nดิ่ว\nดิ้ว\nดิ้วเดี้ยว\nดิษฐ์\nดิสโพรเซียม\nดี\nดีเซล\nดีด\nดีดีที\nดีบุก\nดีปลี\nดีเปรสชัน\nดีหมี\nดีหลี\nดึก\nดึง\nดึ่ง\nดึ่ม\nดื่น\nดื่ม\nดือ\nดื้อ\nดุ\nดุก\nดุกดิก\nดุกทะเล\nดุ้ง\nดุ้งดิ้ง\nดุจ\nดุด\nดุน\nดุ้น\nดุบ\nดุม\nดุ่ม\nดุ่ย\nดุรงค์\nดุริยะ\nดุริยางค์\nดุริยางคศาสตร์\nดุริยางคศิลป์\nดุล\nดุษฎี\nดุษณี\nดุษณีภาพ\nดุษิต\nดุสิต\nดุเหว่า\nดู\nดูกค่าง\nดูกร\nดูด\nดูรา\nดูแล\nเด\nเด่\nเดก\nเด็ก\nเดกซ์โทรส\nเดคากรัม\nเดคาเมตร\nเดคาลิตร\nเด้ง\nเด็จ\nเดช\nเดชน์\nเดชนะ\nเดชะ\nเดโช\nเดซิกรัม\nเดซิเมตร\nเดซิลิตร\nเด็ด\nเดน\nเด่น\nเดนมาร์ก\nเดรัจฉาน\nเด๋อ\nเด๋อด๋า\nเดา\nเด้า\nเดาะ\nเดิน\nเดิ่น\nเดิม\nเดียง\nเดียด\nเดียรดาษ\nเดียรถีย์\nเดียรัจฉาน\nเดียว\nเดี่ยว\nเดี๋ยว\nเดียะ\nเดื่อ\nเดือก\nเดื่อง\nเดือด\nเดือน\nเดือย\nแด\nแด่\nแดก\nแด็ก\nแดกงา\nแดกแด้\nแดง\nแดด\nแดน\nแด่น\nแด่ว\nแดะ\nแดะแด๋\nโด\nโด่\nโดกเดก\nโด่ง\nโดด\nโดน\nโดม\nโดมร\nโดย\nโดรณ\nใด\nได\nได้\nไดแซ็กคาไรด์\nไดนาโม\nไดนาไมต์\nไดโนเสาร์\nไดเรกตริกซ์\nตก\nต๊กโต\nตง\nต๋ง\nตงฉิน\nตงิด\nตงุ่น\nตด\nตติย\nตถาคต\nตน\nต้น\nตนัย\nตนุ\nตบ\nตบะ\nตปนียะ\nตม\nต้ม\nตมูก\nตยาคี\nตรง\nตรณี\nตรม\nตรรก\nตรรกะ\nตรลบ\nตรลอด\nตรลาด\nตรวจ\nตรวน\nตรอก\nตรอง\nตรอมใจ\nตรอมตรม\nตระ\nตระกล\nตระกวน\nตระกอง\nตระการ\nตระกูล\nตระคัร\nตระเตรียม\nตระนาว\nตระบก\nตระบอก\nตระบอง\nตระบัด\nตระบัน\nตระเบ็ง\nตระแบก\nตระแบง\nตระโบม\nตระพอง\nตระพัง\nตระลาการ\nตระวัน\nตระเว็ด\nตระเวน\nตระสัก\nตระหง่าน\nตระหนก\nตระหนัก\nตระหน่ำ\nตระหนี่\nตรัง\nตรังค์\nตรับ\nตรับฟัง\nตรัย\nตรัยตรึงศ์\nตรัส\nตรัสสา\nตรา\nตรากตรำ\nตราชู\nตราบ\nตราสัง\nตรำ\nตริ\nตริว\nตรี\nตรีปวาย\nตรีพิธพรรณ\nตรียัมปวาย\nตรึก\nตรึง\nตรุ\nตรุณ\nตรุณะ\nตรุษ\nตรู\nตรู่\nตฤณ\nตฤตีย\nตฤษณา\nตลก\nตลบ\nตลอด\nตลับ\nตลาด\nตลิ่ง\nตลึง\nตวง\nต่วน\nต้วมเตี้ยม\nตวัก\nตวัด\nตวาด\nตอ\nตอม่อ\nต่อ\nต้อ\nตอก\nต๊อก\nต๊อกต๋อย\nตอง\nต้อง\nตองกราย\nต้องเต\nตองแตก\nต่องแต่ง\nตองเหลือง\nตอด\nตอน\nต้อน\nตอบ\nตอเบา\nตอม\nต่อม\nต๋อม\nต่อย\nต้อย\nต้อยตริ่ง\nต้อยติ่ง\nต้อยตีวิด\nตอแย\nตอร์ปิโด\nต่อไส้\nตอแหล\nตะ\nตะกรน\nตะกร้อ\nตะกรัน\nตะกรับ\nตะกร้า\nตะกราม\nตะกรุด\nตะกรุม\nตะกรุมตะกราม\nตะกละ\nตะกลาม\nตะกวด\nตะกอ\nตะกอน\nตะกัง\nตะกั่ว\nตะกาง\nตะกาด\nตะกาย\nตะกาว\nตะกุกตะกัก\nตะกุย\nตะกู\nตะกูด\nตะเกียกตะกาย\nตะเกียง\nตะเกียบ\nตะแก\nตะแก่\nตะแกรง\nตะโก\nตะโก้\nตะโกก\nตะโกน\nตะโกรง\nตะโกรม\nตะไกร\nตะขบ\nตะขอ\nตะขาบ\nตะขิดตะขวง\nตะเข้\nตะเข็บ\nตะโขง\nตะคร้อ\nตะครอง\nตะครั่นตะครอ\nตะคร้ำ\nตะคริว\nตะคิว\nตะครุบ\nตะคอก\nตะคัน\nตะค้า\nตะคาก\nตะค้าน\nตะคุ่ม\nตะเครียว\nตะเคียว\nตะเคียน\nตะแคง\nตะไคร่\nตะไคร้\nตะเฆ่\nตะนอย\nตะนาว\nตะบม\nตะบอง\nตะบอย\nตะบัน\nตะบิ้ง\nตะบิด\nตะบิดตะบอย\nตะบี้ตะบัน\nตะบึง\nตะบูน\nตะเบ็ง\nตะเบ็งมาน\nตะเบ๊ะ\nตะแบก\nตะแบง\nตะโบม\nตะไบ\nตะปบ\nตะปลิง\nตะปิ้ง\nตะปุ่มตะป่ำ\nตะปู\nตะพง\nตะพด\nตะพอง\nตะพัก\nตะพัง\nตะพัด\nตะพั้น\nตะพาก\nตะพาน\nตะพาบ\nตะพาย\nตะพึด\nตะพึดตะพือ\nตะพุ่น\nตะเพรา\nตะเพิง\nตะเพิด\nตะเพียน\nตะโพก\nตะโพง\nตะโพน\nตะเภา\nตะใภ้\nตะม่อ\nตะมอย\nตะรังกะนู\nตะรังตังกวาง\nตะรังตังช้าง\nตะราง\nตะลอง\nตะลอน\nตะล่อม\nตะละ\nตะลาน\nตะลิงปลิง\nตะลิบ\nตะลีตะลาน\nตะลึง\nตะลึงพรึงเพริด\nตะลุง\nตะลุ่ม\nตะลุ่มนก\nตะลุมบอน\nตะลุ่มโปง\nตะลุมพอ\nตะลุมพุก\nตะลุย\nตะเลง\nตะแลงแกง\nตะไล\nตะวัน\nตะเวน\nตะหลิว\nตะหลุก\nตะหลุง\nตะแหง่ว\nตะแหมะแขะ\nตะโหงก\nตัก\nตักกะ\nตักเตือน\nตั๊กแตน\nตักษัย\nตัง\nตั่ง\nตั้ง\nตังเก\nตังฉ่าย\nตังเม\nตังวาย\nตังโอ๋\nตัจฉก\nตัจฉนี\nตัณฑุล\nตัณหา\nตัด\nตัน\nตันตระ\nตันติ\nตันหยง\nตับ\nตับปิ้ง\nตัว\nตั๋ว\nตัวจี๊ด\nตัวตืด\nตั้วโผ\nตั้วเหี่ย\nตา\nตาก\nตากวาง\nต่าง\nตาด\nตาน\nต่าน\nต้าน\nตานนกกด\nตานี\nตาบ\nตาม\nตามะแน\nตามิน\nตาย\nตาราไต\nตาล\nตาลุ\nต๋าว\nตาเสือ\nตาหนู\nตาฬ\nตำ\nต่ำ\nตำนาน\nตำบล\nตำแบ\nตำแย\nตำรวจ\nตำรับ\nตำรา\nตำรุ\nตำลึง\nตำเสา\nตำหนัก\nตำหนิ\nตำแหน่ง\nติ\nติก\nติ๊ก\nติกะ\nติกาหรัง\nติง\nติ่ง\nติ๋ง\nติ่งตั่ง\nติ๋งต่าง\nติงส\nติงสติ\nติณ\nติด\nติตติกะ\nติตติร\nติตถ\nติตถะ\nติถี\nติมิงคละ\nติรัจฉาน\nติลก\nติละ\nติ้ว\nตี\nตี่\nตีน\nตีบ\nตีรถะ\nตีระ\nตึ\nตึก\nตึ้ก\nตึ้กตั้ก\nตึง\nตึดตื๋อ\nตึ๊ดตื๋อ\nตืด\nตื่น\nตื้น\nตื้อ\nตื๊อ\nตื๋อ\nตุ\nตุ๊\nตุ๊กแก\nตุ๊กตา\nตุ๊กต่ำ\nตุกติก\nตุ๊กติ๊ก\nตุ๊กตุ่น\nตุ๊กตุ๋ย\nตุง\nตุ้งก่า\nตุ้งติ้ง\nตุ๊ดตู่\nตุน\nตุ่น\nตุ๋น\nตุนาหงัน\nตุบ\nตุ้บ\nตุ๊บป่อง\nตุปัดตุป่อง\nตุปัดตุเป๋\nตุ่ม\nตุ้ม\nตุ๋ม\nตุ้มกว้าว\nตุมกา\nตุ้มแซะ\nตุมตัง\nตุ้มเต๋น\nตุ้มปี่\nตุมพะ\nตุ่ย\nตุ้ย\nตุ๊ย\nตุ๋ยตุ่ย\nตุรคะ\nตุรงค์\nตุล\nตุลา\nตุหรัดตุเหร่\nตู\nตู่\nตู้\nตูก\nตูด\nตูบ\nตูม\nเต๊ก\nเต็ง\nเต่ง\nเตช\nเตโช\nเต้น\nเต็นท์\nเต็ม\nเตย\nเตร่\nเตร็ด\nเตรตา\nเตรียม\nเตรียมตรม\nเตละ\nเตลิด\nเตว็ด\nเต่อ\nเตอะ\nเตะ\nเตา\nเต่า\nเต้า\nเต๋า\nเต่าเกียด\nเต้าเจี้ยว\nเต้าทึง\nเต้าหู้\nเต้าฮวย\nเต๊าะ\nเตาะแตะ\nเติ่ง\nเติบ\nเติม\nเตี้ย\nเตียง\nเตียน\nเตียบ\nเตี๋ยม\nเตียรถ์\nเตียว\nเตี่ยว\nเตือน\nแต่\nแต้\nแตก\nแตง\nแต่ง\nแตงเม\nแต้จิ๋ว\nแตด\nแต๊ดแต๋\nแตน\nแต้ม\nแตร\nแตระ\nแต้ว\nแต้วแร้ว\nแต้วแล้ว\nแต่ว่า\nแต้แว้ด\nแตะ\nโต\nโต้\nโตก\nโต่ง\nโต้ง\nโตงเตง\nโตฎก\nโต๊ด\nโตน\nโตนด\nโต้โผ\nโตมร\nโตย\nโตรก\nโต๊ะ\nใต้\nไต\nไต่\nไต้\nไต๋\nไตร\nไตรกิศยา\nไตรดายุค\nไตร่ตรอง\nไตรย\nไต้หวัน\nถก\nถกล\nถงาด\nถด\nถนน\nถนอม\nถนัด\nถนัน\nถนำ\nถนิม\nถม\nถ่ม\nถมอ\nถมึงทึง\nถลก\nถลกบาตร\nถลน\nถล่ม\nถลอก\nถลัน\nถลา\nถลาก\nถลาย\nถลำ\nถลึงตา\nถลุง\nถ่วง\nถ้วน\nถ้วย\nถวัล\nถวัลย์\nถวาย\nถวิน\nถวิล\nถ่อ\nถ้อ\nถอก\nถอง\nถ่อง\nถ้อง\nถอด\nถอน\nถอบ\nถอบแถบ\nถ่อม\nถอย\nถ่อย\nถ้อย\nถะ\nถะถั่น\nถะมัดถะแมง\nถัก\nถัง\nถั่ง\nถัด\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นยา\nบิลเลียด\nบิวเรตต์\nบิสมัท\nบี้\nบีฑา\nบีตา\nบีบ\nบีเยศ\nบึก\nบึกบึน\nบึง\nบึ่ง\nบึ้ง\nบุ\nบุก\nบุคคล\nบุคลากร\nบุคลาธิษฐาน\nบุคลิก\nบุง\nบุ่ง\nบุ้ง\nบุ้งกี๋\nบุญ\nบุญญาธิการ\nบุญญานุภาพ\nบุญญาภินิหาร\nบุญญาภิสังขาร\nบุณฑริก\nบุณมี\nบุณย์\nบุตร\nบุตรี\nบุถุชน\nบุทคล\nบุนนาค\nบุบ\nบุบบิบ\nบุปผชาติ\nบุพกรรม\nบุพการี\nบุพกิจ\nบุพชาติ\nบุพทักษิณ\nบุพนิมิต\nบุพบท\nบุพพาจารย์\nบุพเพสันนิวาส\nบุพโพ\nบุ๋ม\nบุ่มบ่าม\nบุ้ย\nบุรณะ\nบุรพทิศ\nบุรพบท\nบุรพาจารย์\nบูรพาจารย์\nบุระ\nบุราณ\nบุรินทร์\nบุริมทิศ\nบุริมพรรษา\nบุริมสิทธิ\nบุรี\nบุรุษ\nบุโรทั่ง\nบุษกร\nบุษบก\nบุษบง\nบุษบัน\nบุษบา\nบุษบามินตรา\nบุษปราค\nบุษปะ\nบุษย์\nบุษย์น้ำทอง\nบุษยมาส\nบุษยะ\nบุษราคัม\nบุหงัน\nบุหงา\nบุหรง\nบุหรี่\nบุหลัน\nบู่\nบู้\nบูชนียสถาน\nบูชา\nบูชิต\nบูด\nบูดู\nบูร\nบูรณ์\nบูรณภาพ\nบูรณมี\nบูรณะ\nบูรณาการ\nบูรพ์\nบูรพะ\nบูรพา\nเบ้\nเบ่ง\nเบ๊จี๋\nเบญกานี\nเบญจกัลยาณี\nเบญจกามคุณ\nเบญจขันธ์\nเบญจดุริยางค์\nเบญจธรรม\nเบญจบรรพต\nเบญจพรรณ\nเบญจเพส\nเบญจมาศ\nเบญจรงค์\nเบญจศก\nเบญจศีล\nเบญจะ\nเบญจา\nเบญจางค์\nเบญจางคประดิษฐ์\nเบญญา\nเบญพาด\nเบ็ด\nเบ็ดเตล็ด\nเบ็ดเสร็จ\nเบน\nเบนซิน\nเบรก\nเบริลเลียม\nเบส\nเบ้อ\nเบอร์\nเบอร์คีเลียม\nเบ้อเร่อ\nเบ้อเร่อเท่อ\nเบ้อเริ่ม\nเบ้อเริ่มเทิ่ม\nเบอะ\nเบอะบะ\nเบะ\nเบา\nเบ้า\nเบาราณ\nเบาะ\nเบิก\nเบิ่ง\nเบี้ย\nเบี่ยง\nเบียด\nเบียน\nเบียร์\nเบี้ยว\nเบือ\nเบื่อ\nเบื้อ\nเบื้อง\nเบือน\nแบ\nแบ้\nแบก\nแบคทีเรีย\nแบ่ง\nแบงก์\nแบดมินตัน\nแบตเตอรี่\nแบน\nแบนโจ\nแบบ\nแบ็บ\nแบเรียม\nแบหลา\nแบะ\nโบ\nโบ้\nโบ๋\nโบก\nโบกขรณี\nโบกขรพรรษ\nโบชุก\nโบต\nโบนัส\nโบ๊เบ๊\nโบย\nโบรมีน\nโบรอน\nโบราณ\nโบสถ์\nใบ\nใบ้\nไบ่\nปก\nปกติ\nปกรณ์\nปกรณัม\nปกิณกะ\nปกีรณัม\nปโกฏิ\nปง\nป่ง\nปงช้าง\nปฎล\nปฏัก\nปฏิกรณ์\nปฏิกรรม\nปฏิการะ\nปฏิกิริยา\nปฏิกูล\nปฏิคม\nปฏิคหิต\nปฏิคาหก\nปฏิฆะ\nปฏิชีวนะ\nปฏิญญา\nปฏิญาณ\nปฏิทิน\nปฏิบถ\nปฏิบัติ\nปฏิปทา\nปฏิปักษ์\nปฏิปัน\nปฏิปุจฉาพยากรณ์\nปฏิปุจฉาวาที\nปฏิพัทธ์\nปฏิพากย์\nปฏิภาค\nปฏิภาณ\nปฏิมา\nปฏิมากร\nปฏิยุทธ์\nปฏิรพ\nปฏิรูป\nปฏิโลม\nปฏิวัติ\nปฏิวาต\nปฏิวาท\nปฏิเวธ\nปฏิสนธิ\nปฏิสวะ\nปฏิสังขรณ์\nปฏิสันถาร\nปฏิสัมภิทา\nปฏิเสธ\nปฐพี\nปฐม\nปฐวี\nปณต\nปณาม\nปณิธาน\nปณิธิ\nปณีต\nปด\nปดิวรัดา\nปติ\nปถพี\nปถมัง\nปถวี\nปทัฏฐาน\nปทัสถาน\nปทานุกรม\nปทีป\nปทุม\nปน\nป่น\nปนัดดา\nปปัญจะ\nปม\nปรนัย\nปรปักษ์\nปรโลก\nปรวาที\nปรก\nปรกติ\nปรง\nปรตยักษ์\nปรน\nปรนนิบัติ\nปรนิมมิตวสวัตดี\nปรบ\nปรปักษ์\nปรมัตถ์\nปรมาจารย์\nปรมาณู\nปรมาภิไธย\nปรมาภิเษก\nปรมินทร์\nบรเมนทร์\nปรเมศวร์\nปรเมษฐ์\nปรวด\nปรวนแปร\nปรศุ\nปรสิต\nปร๋อ\nปรองดอง\nปรอด\nปรอท\nปรอย\nประ\nประกบ\nประกฤต\nประกฤติ\nประกล\nประกวด\nประกวดประขัน\nประกอบ\nประกัน\nประกับ\nประกาย\nประกายพรึก\nประการ\nประกาศ\nประกาศนียบัตร\nประกาศิต\nประกำ\nประกิด\nประกิต\nประคด\nประคนธรรพ\nประคนธรรพ์\nประคบ\nประคบประหงม\nประคอง\nประคับประคอง\nประคัลภ์\nประคำ\nประคิ่น\nประคุณ\nประเคน\nประเคราะห์\nประโคน\nประโคนธรรพ\nประโคนธรรพ์\nประโคม\nประจง\nประจญ\nประจบ\nประจบประแจง\nประจวบ\nประจ๋อประแจ๋\nประจักษ์\nประจักษนิยม\nประจัญ\nประจัน\nประจาก\nประจาค\nประจาน\nประจำ\nประจิม\nประจิ้มประเจ๋อ\nประจุ\nประจุคมน์\nประจุบัน\nประเจก\nประเจิด\nประเจิดประเจ้อ\nประเจียด\nประแจ\nประชด\nประชน\nประชวม\nประชวร\nประชัน\nประชา\nประชาธิปไตย\nประชิด\nประชี\nประชุม\nประเชิญ\nประณต\nประณม\nประณาม\nประณิธาน\nประณิธิ\nประณีต\nประณุท\nประดง\nประดน\nประดวน\nประดอน\nประดอย\nประดัก\nประดักประเดิด\nประดัง\nประดับ\nประดา\nประดาก\nประดาป\nประดาษ\nประดิชญา\nประดิดประดอย\nประดิทิน\nประดิษฐ์\nประดิษฐกรรม\nประดิษฐาน\nประดุง\nประดุจ\nประดู่\nประเด\nประเด็น\nประเดิม\nประเดียง\nประเดี๋ยว\nประเดี๋ยวประด๋าว\nประแดง\nประแดะ\nประโดง\nประโดย\nประตง\nประตัก\nประตาป\nประติชญา\nประติญาณ\nประติทิน\nประติมากร\nประติมากรรม\nประติรพ\nประตู\nประถม\nประถมจินดา\nประทม\nประท้วง\nประทวน\nประทักษ์\nประทักษิณ\nประทัง\nประทัด\nประทับ\nประทาน\nประทาย\nประทาศี\nประทิน\nประทิ่น\nประทีป\nประทุฐ\nประทุน\nประทุษ\nประทุษฐ์\nประเทศ\nประเทา\nประเทียด\nประเทียบ\nประเทือง\nประธาน\nประธานาธิบดี\nประนม\nประนอ\nประนอม\nประนัง\nประนัปดา\nประนีประนอม\nประปราน\nประปราย\nประปา\nประเปรี้ยง\nประเปรียว\nประพจน์\nประพนธ์\nประพรม\nประพฤติ\nประพฤทธิ์\nประพัด\nประพัทธ์\nประพันธ์\nประพาต\nประพาส\nประพาสมหรณพ\nประพาฬ\nประพิณ\nประพิมพ์ประพาย\nประพุทธ์\nประเพณี\nประโพธ\nประไพ\nประไพร\nประภพ\nประภัสสร\nประภา\nประภาคาร\nประภาพ\nประภาษ\nประภาส\nประเภท\nประมง\nประมวล\nประมาณ\nประมาท\nประมุข\nประมุท\nประมูล\nประเมิน\nประโมง\nประโมทย์\nประยงค์\nประยุกต์\nประยุทธ์\nประยุร\nประยูร\nประโยค\nประโยชน์\nประโรหิต\nประลมพ์\nประลอง\nประลัย\nประลาต\nประลาย\nประลุ\nประเล่ห์\nประเล้าประโลม\nประโลม\nประวรรต\nประวรรตน์\nประวัติ\nประวาล\nประวาลปัทม์\nประวาส\nประวิง\nประวิช\nประวิตร\nประวิน\nประวีณ\nประเวณี\nประเวศ\nประเวศน์\nประศม\nประศาสน์\nประศุ\nประสก\nประสงค์\nประสบ\nประสพ\nประสม\nประสะ\nประสัก\nประสันนาการ\nประสัยห์\nประสา\nประสาท\nประสาธน์\nประสาน\nประสาร\nประสิทธิ์\nประสิทธิผล\nประสิทธิภาพ\nประสีประสา\nประสูต\nประสูติ\nประเสบัน\nประเสบันอากง\nประเสริฐ\nประหนึ่ง\nประหม่า\nประหยัด\nประหลาด\nประหล่ำ\nประหวัด\nประหวั่น\nประหัตประหาร\nประหาณ\nประหาร\nประเหล\nประเหส\nประไหมสุหรี\nประอบ\nประอร\nปรัก\nปรักปรำ\nปรักมะ\nปรัง\nปรัชญา\nปรัตถจริยา\nปรัตยุบัน\nปรัน\nปรับ\nปรัมปรา\nปรัศจิม\nปรัศนา\nปรัศนี\nปรัศว์\nปรัสสบท\nปร่า\nปรากฏ\nปรากรม\nปรากฤต\nปราการ\nปราง\nปรางค์\nปราจีน\nปราชญ์\nปราชญา\nปราชัย\nปราณ\nปราณี\nปราด\nปราน\nปรานี\nปราบ\nปราบดาภิเษก\nปราปต์\nปราม\nปรามาส\nปราโมช\nปราโมทย์\nปราย\nปรารถนา\nปรารภ\nปรารมภ์\nปราศ\nปราศจาก\nปราศรัย\nปราษณี\nปราษาณ\nปราสัย\nปราสาท\nปรำ\nปริ\nปริก\nปริกขาร\nปริกรรม\nปริกัป\nปริคณห์\nปริจาค\nปริจาริกา\nปริเฉท\nปริชน\nปริซึม\nปริญญา\nปริณาม\nปริณายก\nปริต\nปริตตะ\nปริตโตทก\nปริตร\nปริทรรศน์\nปริทัยหัคคี\nปริทัศน์\nปริเทพ\nปริเทวะ\nปรินิพพาน\nปริบ\nปริบท\nปริปันถ์\nปริพนธ์\nปริพัตร\nปริพันธ์\nปริพาชก\nปริภัณฑ์\nปริภาษ\nปริภูมิ\nปริโภค\nปริ่ม\nปริมณฑล\nปริมาณ\nปริมาตร\nปริยัติ\nปริยานุช\nปริยาย\nปริเยศ\nปริโยสาน\nปริวรรต\nปริวัตร\nปริวาร\nปริวาส\nปริวิตก\nปริเวณ\nปริศนา\nปริษัท\nปริสัญญู\nปริสุทธิ\nปริหาน\nปริหาร\nปรี่\nปรีชญา\nปรีชา\nปรี๊ด\nปรีดา\nปรีดิ\nปรีดิ์\nปรีดี\nปรีติ\nปรียะ\nปรียา\nปรึก\nปรึกษา\nปรึง\nปรือ\nปรื๋อ\nปรุ\nปรุง\nปรู\nปรู๋\nปรูด\nปรู๊ด\nปรู๊ดปร๊าด\nปรู๊ฟ\nปฤงคพ\nปฤจฉา\nปฤษฎางค์\nปฤษฐ\nปลก\nปลกเปลี้ย\nปลง\nปล่ง\nปลด\nปล้น\nปลวก\nปลอก\nปล่อง\nปล้อง\nปลอด\nปล้อน\nปลอบ\nปลอม\nปล่อย\nปละ\nปลัก\nปลั๊ก\nปลัง\nปลั่ง\nปลัด\nปลัดขิก\nปลา\nปลาต\nปลาบ\nปลาย\nปลาสเตอร์\nปลาสนาการ\nปล้ำ\nปลิง\nปลิด\nปลิ้น\nปลิโพธ\nปลิม\nปลิ่ม\nปลิว\nปลี\nปลีก\nปลื้ม\nปลุก\nปลูก\nปวกเปียก\nปวง\nป่วง\nปวด\nป่วน\nป้วน\nป้วนเปี้ยน\nป่วย\nปวัตน์\nปวารณา\nปวาล\nปวาส\nปวาฬ\nปวิช\nปวิตร\nปวิธ\nปวิเวก\nปวีณ\nปวุติ\nปเวณี\nปเวส\nปเวสน์\nปศุ\nปสันนะ\nปสันนาการ\nปสาท\nปสาน\nปสาสน์\nปสุ\nปสุต\nปสูติ\nปหังสนะ\nปหาน\nปหาร\nปหาส\nปอ\nป้อ\nป๋อ\nปอก\nปอง\nป่อง\nป้อง\nปอด\nปอน\nป้อน\nปอนด์\nปอเนาะ\nปอบ\nป้อแป้\nปอม\nป้อม\nป๋อม\nปอย\nป้อย\nป้อยอ\nปะ\nปะกน\nปะกัง\nปะการัง\nปะกำ\nปะขาว\nปะงาบ\nปะตาปา\nปะตาระกาหลา\nปะติดปะต่อ\nปะติยาน\nปะทะ\nปะทะปะทัง\nปะทุ\nปะทุน\nปะปน\nปะมง\nปะราลี\nปะรำ\nปะไร\nปะลอม\nปะเลง\nปะแล่ม\nปะโลง\nปะวะหล่ำ\nปะหงับ\nปะหนัน\nปะหัง\nปะเหลาะ\nปัก\nปักข์\nปักเป้า\nปักษ์\nปักษา\nปักษิน\nปักษี\nปัง\nปั๋ง\nปังสุ์\nปังสุกุล\nปัจจัตตะ\nปัจจันต์\nปัจจันตคาม\nปัจจันตชนบท\nปัจจันตประเทศ\nปัจจัย\nปัจจามิตร\nปัจจุคมน์\nปัจจุทธรณ์\nปัจจุบัน\nปัจจุสมัย\nปัจเจก\nปัจโจปการกิจ\nปัจฉา\nปัจฉิม\nปัจถรณ์\nปัจนึก\nปัจยาการ\nปัจเวกขณ์\nปัชชุน\nปัญจนที\nปัญจวัคคีย์\nปัญจก\nปัญจกะ\nปัญจมี\nปัญจวีสติ\nปัญญัติ\nปัญญา\nปัญหา\nปัฏ\nปัฏนะ\nปัฐยาวัต\nปัณฑรหัตถี\nปัณณะ\nปัณณาส\nปัณณาสก์\nปัณรสี\nปัณหิ\nปัด\nปัตคาด\nปัตตะ\nปัตตานึก\nปัตตานุโมทนา\nปัตตาเวีย\nปัตติ\nปัตติก\nปัตถร\nปัตถะ\nปัตนิ\nปัตนี\nปัตหล่า\nปัถพี\nปัถวี\nปัทม์\nปัทมะ\nปัทมาสน์\nปัน\nปั่น\nปั้น\nปั้นจั่น\nปันจุเหร็จ\nปั้นลม\nปั้นหยา\nปั้นเหน่ง\nปับ\nปั๊บ\nปัปผาสะ\nปัพพาชนียกรรม\nปัพภาระ\nปั๊ม\nปัยกา\nปัยยิกา\nปัวเปีย\nปัศจิม\nปัศตัน\nปัสสาวะ\nปัสสาสะ\nปา\nป่า\nป้า\nปาก\nปาง\nป้าง\nปาจรีย์\nปาจิตตีย์\nปาจีน\nปาฏลิ\nปาฏิบท\nปาฏิบุคลิก\nปาฏิโภค\nปาฏิหาริย์\nปาฐก\nปาฐกถา\nปาฐะ\nปาณกชาติ\nปาณะ\nปาณาติบาต\nปาณิ\nปาณี\nปาด\nปาติโมกข์\nปาตี\nปาเต๊ะ\nปาท่องโก๋\nปาทังกา\nปาทาน\nปาทุกา\nปาน\nป่าน\nป้าน\nปานะ\nปานียะ\nป้าบ\nป๊าบ\nปาพจน์\nปาม\nปาโมกข์\nป่าย\nป้าย\nปายาส\nปาร์เกต์\nปารมี\nปารเมศ\nปาราชิก\nปาริฉัตร\nปาริชาต\nปารุสกวัน\nปาล\nปาล์ม\nปาลิไลยก์\nปาลี\nปาว\nป่าว\nป๊าว\nปาวาร\nปาษาณ\nปาส\nปาสาณ\nปาสาทิกะ\nปาหนัน\nปาหี่\nปำ\nป้ำ\nป้ำเป๋อ\nปิกนิก\nปิ้ง\nปิงคละ\nปิงปอง\nปิฎก\nปิฏฐะ\nปิฐิ\nปิณฑะ\nปิด\nปิตตะ\nปิตา\nปิตามหัยกา\nปิตามหัยยิกา\nปิตุ\nปิตุจฉา\nปิตุภูมิ\nปิตุลา\nปิโตรเลียม\nปิ่น\nปิ่นแก้ว\nปิ่นโต\nปิปผลี\nปิ่ม\nปิ้ม\nปิยะ\nปิยังคุ\nปิโยรส\nปิลันธน์\nปิ๋ว\nปิศาจ\nปิหกะ\nปี\nปี่\nปี้\nปี๋\nปีก\nปีฐะ\nปี๊ด\nปีติ\nปีน\nปีบ\nปี๊บ\nปีศาจ\nปีฬกะ\nปึก\nปึง\nปึ่ง\nปึ๋ง\nปึ้ด\nปึมปื้อ\nปืน\nปื้น\nปือ\nปื้อ\nปื๋อ\nปุ\nปุ๊\nปุก\nปุกปุย\nปุคละ\nปุ้งกี๋\nปุงควะ\nปุงลิงค์\nปุงลึงค์\nปุจฉา\nปุฏะ\nปุณฑริก\nปุด\nปุตตะ\nปุถุชน\nปุนนาค\nปุนภพ\nปุนัพสุ\nปุบ\nปุ๊บ\nปุปผะ\nปุปะ\nปุพพะ\nปุ่ม\nปุ่มป่ำ\nปุ้ม\nปุ๋ม\nปุย\nปุ้ย\nปุ๋ย\nปุรณะ\nปุระ\nปุราณ\nปุราณะ\nปุริมพรรษา\nปุเรจาริก\nปุโรหิต\nปุลลิงค์\nปุลลึงค์\nปุลินท์\nปุโลปุเล\nปุษยะ\nปุสสะ\nปู\nปู่\nปูชกะ\nปูชนียบุคคล\nปูชนียวัตถุ\nปูชนียะ\nปูชา\nปูชิต\nปูด\nปูน\nปูม\nปู้ยี่ปู้ยำ\nปูระ\nปูลู\nเป้\nเป๋\nเปก\nเป๊ก\nเป่ง\nเป้ง\nเป๋ง\nเป็ด\nเปตพลี\nเปตอง\nเป็น\nเปยยาล\nเปร็ง\nเปรต\nเปรม\nเปรย\nเปรอ\nเปรอะ\nเปราะ\nเปรียง\nเปรี้ยง\nเปรี้ยงปร้าง\nเปรียญ\nเปรียบ\nเปรี่ยม\nเปรียว\nเปรี้ยว\nเปรียะ\nเปรี๊ยะ\nเปรื่อง\nเปรื้อย\nเปล\nเปล่ง\nเปลว\nเปลา\nเปล่า\nเปล้า\nเปลาะ\nเปลี้ย\nเปลี่ยน\nเปลี่ยม\nเปลี่ยว\nเปลือก\nเปลือง\nเปลื้อง\nเปลือย\nเปศะ\nเปศัส\nเปสการ\nเปสละ\nเปสุญวาท\nเป๋อ\nเป้อเย้อ\nเปอร์\nเปอร์เซ็นต์\nเปะ\nเปา\nเป่า\nเป้า\nเป๊า\nเป๋า\nเป๋าฮื้อ\nเปาะ\nเป๊าะ\nเปาะเปี๊ยะ\nเปาะแปะ\nเปิก\nเปิง\nเปิงมาง\nเปิด\nเปิ่น\nเปิบ\nเปิ๊บ\nเปีย\nเปียก\nเปี๊ยก\nเปี๊ยบ\nเปี่ยม\nเปี้ยว\nเปี๊ยว\nเปียะ\nเปี๊ยะ\nเปือก\nเปื้อน\nเปื่อย\nแป\nแป้ง\nแป๋ง\nแปด\nแป๊ด\nแปทู\nแป้น\nแป๊น\nแปบ\nแป๊บ\nแปม\nแปร\nแปร๋\nแปรก\nแปรง\nแปร่ง\nแปร๊ด\nแปร้น\nแปร๋น\nแปรปรวน\nแประ\nแปล\nแปล้\nแปลก\nแปลง\nแปลน\nแปลบ\nแปล๊บ\nแป้ว\nแป๊ว\nแปะ\nแป๊ะ\nแป๊ะซะ\nโป\nโป่\nโป้\nโป๊\nโปก\nโป๊ก\nโป๊กเกอร์\nโปกขรณี\nโปกขรพรรษ\nโปเก\nโปง\nโป่ง\nโป้ง\nโป่งข่าม\nโปงลาง\nโป่งวิด\nโปฐบท\nโปฐปทมาส\nโปดก\nโปตถกะ\nโปน\nโป๊ป\nโป๊ยเซียน\nโปรแกรม\nโปรง\nโปร่ง\nโปรด\nโปรตอน\nโปรตีน\nโปรเตสแตนต์\nโปรแทรกเตอร์\nโปรย\nโปล่ง\nโปลิโอ\nโปโล\nโปสก\nโปสต์การ์ด\nโปะ\nโป๊ะ\nโป๊ะจ้าย\nไป\nไป่\nไป๋\nไปยาล\nไปรษณีย์\nไปรษณียบัตร\nไปรษณียภัณฑ์\nไปรษณียากร\nไปล่\nไปศาจ\nผก\nผกา\nผกาย\nผคม\nผง\nผงก\nผงม\nผงะ\nผงาด\nผง่าน\nผจง\nผจญ\nผจัญ\nผจาน\nผชุม\nผณิน\nผณินทร\nผณิศวร\nผด\nผดุง\nผเดิน\nผทม\nผนวก\nผนวช\nผนัง\nผนิด\nผนึก\nผม\nผยอง\nผรณาปีติ\nผรสุ\nผริต\nผรุสวาท\nผล\nผลคุน\nผลคุนี\nผล็อย\nผละ\nผลัก\nผลัด\nผลับ\nผลัวะ\nผลา\nผลาญ\nผลานิสงส์\nผลาผล\nผลาหาร\nผลิ\nผลิกะ\nผลิต\nผลิน\nผลี\nผลีผลาม\nผลึก\nผลึ่ง\nผลือ\nผลุ\nผลุง\nผลุด\nผลุน\nผลุนผลัน\nผลุบ\nผลุบผลับ\nผลุย\nผลู\nผวน\nผวย\nผวา\nผสม\nผสาน\nผอง\nผ่อง\nผ่อน\nผอบ\nผอม\nผ็อย\nผอูน\nผะ\nผะดา\nผะสา\nผัก\nผัคคุณ\nผัคคุณี\nผัง\nผัด\nผัน\nผับ\nผัว\nผัวะ\nผัสสะ\nผัสสาหาร\nผา\nผ่า\nผ้า\nผาก\nผาง\nผ่าง\nผาณิต\nผาด\nผาติ\nผ่าน\nผาม\nผาย\nผ่ายผอม\nผาล\nผาลคุน\nผาลา\nผ่าว\nผาสุก\nผ้าฮาด\nผำ\nผ้ำ\nผิ\nผิง\nผิด\nผิตะ\nผิน\nผิว\nผี\nผี้ว์\nผึง\nผึ่ง\nผึ้ง\nผึ้งรวง\nผืน\nผื่น\nผุ\nผุด\nผุยผง\nผุสราคา\nผู้\nผูก\nเผ\nเผง\nเผชิญ\nเผ็ด\nเผด็จ\nเผดิม\nเผดียง\nเผ่น\nเผนิก\nเผย\nเผยอ\nเผยิบ\nเผยิบผยาบ\nเผล\nเผล่\nเผล็ด\nเผลอ\nเผลอไผล\nเผละ\nเผลาะ\nเผลาะแผละ\nเผลียง\nเผอเรอ\nเผอิญ\nเผอิล\nเผะ\nเผา\nเผ่า\nเผ้า\nเผาะ\nเผิ้ง\nเผิน\nเผียน\nเผือ\nเผื่อ\nเผือก\nเผือด\nเผือน\nเผื่อน\nแผ่\nแผก\nแผง\nแผด\nแผน\nแผ่น\nแผนก\nแผล\nแผลง\nแผล็บ\nแผล็ว\nแผละ\nแผ่ว\nแผ้ว\nโผ\nโผง\nโผฏฐัพพะ\nโผน\nโผเผ\nโผย\nโผล่\nโผลกเผลก\nโผละ\nโผอน\nโผะ\nไผ\nไผ่\nไผท\nฝน\nฝรั่ง\nฝรั่งเศส\nฝ่อ\nฝอย\nฝัก\nฝัง\nฝั่ง\nฝัด\nฝัน\nฝา\nฝ่า\nฝ้า\nฝาก\nฝาง\nฝาด\nฝาน\nฝาย\nฝ่าย\nฝ้าย\nฝิ่น\nฝี\nฝี่\nฝีก\nฝึก\nฝืด\nฝืน\nฝุ่น\nฝูง\nเฝ้า\nเฝือ\nเฝือก\nเฝือง\nเฝื่อน\nแฝก\nแฝง\nแฝด\nใฝ่\nไฝ\nพก\nพกุล\nพง\nพงศ์\nพงศกร\nพงศธร\nพงศา\nพงศาวดาร\nพจน์\nพจนา\nพจนานุกรม\nพจนารถ\nพจนีย์\nพจมาน\nพจี\nพชระ\nพญา\nพญาลอ\nพณิช\nพณิชย์\nพดด้วง\nพธู\nพนันดร\nพนาดร\nพนาดอน\nพนาราม\nพนาลัย\nพนาลี\nพนาวาส\nพนาเวศ\nพนาศรม\nพนาสณฑ์\nพนาสัณฑ์\nพเนจร\nพ่น\nพ้น\nพนม\nพนอง\nพนอม\nพนัก\nพนักงาน\nพนัง\nพนัน\nพนัส\nพนา\nพนาย\nพนิดา\nพนิต\nพบ\nพม่า\nพยนต์\nพยศ\nพยัก\nพยักพเยิด\nพยัคฆ์\nพยัคฆา\nพยัคฆิน\nพยัคฆี\nพยัชน์\nพยัญชนะ\nพยัต\nพยับ\nพยากรณ์\nพยาฆร์\nพยางค์\nพยาธิ\nพยาน\nพยาบาท\nพยาบาล\nพยาม\nพยามะ\nพยายาม\nพยุ\nพยุง\nพยุหยาตรา\nพยุหโยธา\nพยุหเสนา\nพยุหะ\nพยู่ห์\nพเยีย\nพร\nพรต\nพรม\nพรรค\nพรรค์\nพรรคานต์\nพรรณ\nพรรณนา\nพรรดึก\nพรรลาย\nพรรษ\nพรรษา\nพรรเอิญ\nพรวด\nพรวน\nพรหม\nพรหมจรรย์\nพรหมจาริณี\nพรหมจารี\nพรหมา\nพรหมาสตร์\nพรหมินทร์\nพรอก\nพร่อง\nพร้อง\nพรอด\nพร้อม\nพร้อมพรัก\nพร่อย\nพร้อย\nพระ\nพระนอม\nพระนาด\nพระฮาม\nพรักพร้อม\nพรั่ง\nพรัด\nพรั่น\nพรับ\nพร่า\nพร้า\nพราก\nพราง\nพร่าง\nพราด\nพราน\nพราย\nพราว\nพราหมณ์\nพราหมณะ\nพราหมณี\nพราหมี\nพรำ\nพร่ำ\nพริก\nพริ้ง\nพริบ\nพริ้ม\nพรึง\nพรึน\nพรึบ\nพรึ่บ\nพรืด\nพรุ\nพรุ่ง\nพรุน\nพรู\nพรูด\nพฤกษ์\nพฤกษชาติ\nพฤกษเทวดา\nพฤกษราช\nพฤกษศาสตร์\nพฤกษา\nพฤฒ\nพฤฒา\nพฤฒาจารย์\nพฤฒิ\nพฤต\nพฤติ\nพฤทธ์\nพฤทธิ์\nพฤนต์\nพฤนท์\nพฤศจิก\nพฤศจิกายน\nพฤษภ\nพฤษภาคม\nพฤหัสบดี\nพล\nพละ\nพลากร\nพลาดิศัย\nพลาธิการ\nพลานามัย\nพลบ\nพลวก\nพลวง\nพลวัต\nพลศาสตร์\nพลอ\nพล้อ\nพลอง\nพลอด\nพลอน\nพลอมแพลม\nพลอย\nพล่อย\nพลั่ก\nพลัง\nพลั่ง\nพลั้ง\nพลัด\nพลัน\nพลับ\nพลับพลา\nพลับพลึง\nพลั่ว\nพล่า\nพลาง\nพลาญ\nพลาด\nพล่าน\nพลาม\nพล่าม\nพลาย\nพลาสติก\nพลาสมา\nพลาหก\nพลำ\nพล้ำ\nพลำภัง\nพลิก\nพลิพัท\nพลิ้ว\nพลี\nพลุ\nพลุก\nพลุ่ก\nพลุกพล่าน\nพลุ่ง\nพลุ้ย\nพลู\nพลูโต\nพลูโทเนียม\nพวก\nพวง\nพ่วง\nพวน\nพวย\nพสก\nพสุ\nพสุธา\nพสุสงกรานต์\nพหล\nพหุ\nพหุล\nพหู\nพอ\nพ่อ\nพ้อ\nพอก\nพอง\nพ้อง\nพอน\nพ้อม\nพอโลเนียม\nพะ\nพะงา\nพะงาบ\nพะจง\nพะทำมะรง\nพะนอ\nพะเน้าพะนอ\nพะเนิน\nพะเนียง\nพะแนง\nพะพาน\nพะพิง\nพะเพิง\nพะยอม\nพ่ะย่ะค่ะ\nพะยูง\nพะยูน\nพะเยิบ\nพะเยิบพะยาบ\nพะรุงพะรัง\nพะโล้\nพะไล\nพะวง\nพะวักพะวน\nพะวา\nพะว้าพะวัง\nพะอง\nพะอากพะอำ\nพะอืดพะอม\nพัก\nพักตร์\nพักตรา\nพักร\nพัง\nพังกา\nพังงา\nพังผืด\nพังพวย\nพังพอน\nพังพาน\nพังพาบ\nพังเพย\nพัช\nพัชนี\nพัชระ\nพัญจน์\nพัฒนะ\nพัฒนา\nพัฒนากร\nพัฒนาการ\nพัด\nพัดชา\nพัดดึงส์\nพัตร\nพัทธ์\nพัทธยา\nพัทธสีมา\nพัทร\nพัน\nพันตู\nพันทาง\nพันธ์\nพันธะ\nพันธกรณี\nพันธบัตร\nพันธมิตร\nพันธนะ\nพันธนาคาร\nพันธนาการ\nพันธุ์\nพันธุกรรม\nพันลึก\nพันลือ\nพันเลิศ\nพันเอิญ\nพับ\nพัลลภ\nพัลวัน\nพัว\nพัวะ\nพัศดี\nพัสดุ\nพัสตร์\nพัสถาน\nพา\nพาก\nพากเพียร\nพากย์\nพาง\nพ่าง\nพาชี\nพาณิช\nพาณิชย์\nพาณิชยกรรม\nพาณิชยการ\nพาณิชยศาสตร์\nพาณิชยศิลป์\nพาณินี\nพาณี\nพาณีนี\nพาด\nพาท\nพาทย์\nพาธ\nพาธา\nพาน\nพ่าน\nพานร\nพานรินทร์\nพาม\nพาย\nพ่าย\nพายม้า\nพายัพ\nพายุ\nพาร์เซก\nพารณ\nพารา\nพาราฟิน\nพาล\nพาลา\nพาลี\nพาลุก\nพาโล\nพาไล\nพาส\nพาสน์\nพาสนา\nพาสุกรี\nพ่าห์\nพาหนะ\nพาหะ\nพาหา\nพาหิรกะ\nพาหิระ\nพาหุ\nพาหุรัด\nพาหุสัจจะ\nพาเหียร\nพาฬ\nพำ\nพำนัก\nพำพึม\nพำลา\nพิกล\nพิกสิต\nพิกัด\nพิกัติ\nพิกัน\nพิการ\nพิกุล\nพิเคราะห์\nพิฆน์\nพิฆเนศ\nพิฆเนศวร\nพิฆาต\nพิง\nพิจัย\nพิจาร\nพิจารณ์\nพิจารณา\nพิจิก\nพิจิต\nพิจิตร\nพิชญ์\nพิชัย\nพิชาน\nพิชิต\nพิเชฐ\nพิเชียร\nพิฑูรย์\nพิณ\nพิดทูล\nพิดาน\nพิโดร\nพิตร\nพิถี\nพิถีพิถัน\nพิทย\nพิทย์\nพิทยา\nพิทยาคม\nพิทยาคาร\nพิทยาธร\nพิทยาลัย\nพิทักษ์\nพิทูร\nพิเทศ\nพิธาน\nพิธี\nพิธุ\nพินทุ\nพินอบพิเทา\nพินัย\nพินาศ\nพินิจ\nพินิต\nพินิศ\nพินิศจัย\nพิเนต\nพิบัติ\nพิบุล\nพิบูล\nพิปริต\nพิปลาส\nพิพรรธ\nพิพรรธน์\nพิพักพิพ่วน\nพิพัฒ\nพิพัฒน์\nพิพากษ์\nพิพากษา\nพิพาท\nพิพิธ\nพิพิธภัณฑ์\nพิพิธภัณฑสถาน\nพิภพ\nพิภัช\nพิภาค\nพิภูษณะ\nพิเภก\nพิมปะการัง\nพิมพ์\nพิมพการัง\nพิมพา\nพิมพาภรณ์\nพิมล\nพิมเสน\nพิมาน\nพิมุข\nพิโมกข์\nพิโมกษ์\nพิโยกพิเกน\nพิโยค\nพิรอด\nพิระ\nพิรากล\nพิราบ\nพิราม\nพิราลัย\nพิริยะ\nพิรี้พิไร\nพิรุณ\nพิรุธ\nพิรุฬห์\nพิเรนทร์\nพิเราะ\nพิโรธ\nพิไร\nพิลังกาสา\nพิลาป\nพิลาส\nพิลิปดา\nพิลึก\nพิลึกกึกกือ\nพิลึกพิลั่น\nพิโลน\nพิไล\nพิศ\nพิศวง\nพิศวาส\nพิศาล\nพิศุทธ์\nพิศุทธิ์\nพิเศษ\nพิษ\nพิษฐาน\nพิษนาศน์\nพิสดาร\nพิสมร\nพิสมัย\nพิสัง\nพิสัช\nพิสัย\nพิสิฐ\nพิสุทธิ์\nพิสูจน์\nพิหค\nพิหาร\nพิฬาร\nพี\nพี่\nพี้\nพีชคณิต\nพีระมิด\nพึง\nพึ่ง\nพึ่บ\nพึ่บพั่บ\nพึม\nพึมพำ\nพืช\nพืด\nพื้น\nพุ\nพุก\nพุกาม\nพุง\nพุ่ง\nพุงดอ\nพุฒ\nพุฒิ\nพุด\nพุดตาน\nพุทธ\nพุทธะ\nพุทธังกูร\nพุทธางกูร\nพุทธันดร\nพุทธาภิเษก\nพุทธาวาส\nพุทธิ\nพุทโธ่\nพุทรา\nพุธ\nพุ่ม\nพุมเรียง\nพุ้ย\nพู\nพูพอน\nพู่\nพูด\nพูน\nพู้น\nพู่ระหง\nเพ\nเพ็ก\nเพกา\nเพคะ\nเพ็ง\nเพ่ง\nเพ็จ\nเพชฉลูกรรม\nเพชฌฆาต\nเพชร\nเพชรดา\nเพชรปาณี\nเพชรฤกษ์\nเพชรายุธ\nเพชรกลับ\nเพชรสังฆาต\nเพชรหลีก\nเพชรหึง\nเพ็ญ\nเพฑูริย์\nเพณี\nเพ็ดทูล\nเพดาน\nเพท\nเพทนา\nเพทาย\nเพทุบาย\nเพโทบาย\nเพ่นพ่าน\nเพนียด\nเพไนย\nเพ้ย\nเพรง\nเพรซีโอดิเมียม\nเพรา\nเพราะ\nเพริด\nเพริศ\nเพรียก\nเพรียง\nเพรียบ\nเพรี้ยม\nเพรียว\nเพรื่อ\nเพรือง\nเพล\nเพลง\nเพล็ด\nเพล้โพล้\nเพลา\nเพลาะ\nเพลิง\nเพลิดเพลิน\nเพลิน\nเพลีย\nเพลี้ย\nเพลี่ยง\nเพศ\nเพส\nเพสลาด\nเพ่อ\nเพ้อ\nเพ้อเจ้อ\nเพอิญ\nเพะ\nเพา\nเพาะ\nเพิก\nเพิง\nเพิ่ง\nเพิดเพ้ย\nเพิ่ม\nเพี้ย\nเพียง\nเพี้ยง\nเพียงออ\nเพี้ยน\nเพียบ\nเพียร\nเพื่อ\nเพื่อน\nแพ\nแพ้\nแพง\nแพ่ง\nแพงพวย\nแพทย์\nแพทยศาสตร์\nแพน\nแพ่น\nแพนก\nแพนงเชิง\nแพร\nแพร่\nแพรก\nแพร่ง\nแพรว\nแพร้ว\nแพลง\nแพลทินัม\nแพล็บ\nแพลม\nแพลเลเดียม\nแพละ\nแพละโลม\nแพว\nแพ้ว\nแพศย์\nแพศยา\nแพะ\nโพ\nโพก\nโพกพาย\nโพง\nโพงพาง\nโพชฌงค์\nโพซิตรอน\nโพด\nโพทะเล\nโพแทสเซียม\nโพธ\nโพธิ\nโพธิ์\nโพน\nโพ้น\nโพนทะนา\nโพบาย\nโพย\nโพยก๊วน\nโพยม\nโพรก\nโพรง\nโพรโทแอกทิเนียม\nโพรมีเทียม\nโพระดก\nโพล่\nโพลง\nโพล่ง\nโพล้ง\nโพลน\nโพล้เพล้\nโพละ\nโพสพ\nไพ\nไพ่\nไพจิตร\nไพชน\nไพชยนต์\nไพฑูรย์\nไพที\nไพบูลย์\nไพพรรณ\nไพร\nไพร่\nไพรจิตร\nไพรชน\nไพรชยนต์\nไพรฑูรย์\nไพรที\nไพรบูลย์\nไพรเราะ\nไพรัช\nไพรำ\nไพริน\nไพรินทร์\nไพรี\nไพเราะ\nไพโรจน์\nไพล\nไพล่\nไพศาขะ\nไพศาล\nไพเศษ\nไพสพ\nไพสิฐ\nไพหาร\nฟก\nฟ้ง\nฟรักโทส\nฟรี\nฟลูออรีน\nฟ่อ\nฟ้อ\nฟอก\nฟอง\nฟ่อง\nฟ้อง\nฟอด\nฟอน\nฟ่อน\nฟ้อน\nฟ้อแฟ้\nฟอร์มาลดีไฮด์\nฟอร์มาลิน\nฟอสฟอรัส\nฟอสเฟต\nฟัก\nฟักฟุ้น\nฟัง\nฟังก์ชัน\nฟัด\nฟัน\nฟั่น\nฟั้น\nฟ้า\nฟาก\nฟาง\nฟ่าง\nฟาด\nฟาทอม\nฟาน\nฟ่าม\nฟาย\nฟาร์ม\nฟาสซิสต์\nฟิด\nฟิต\nฟิบ\nฟิล์ม\nฟิวส์\nฟิสิกส์\nฟี่\nฟี้\nฟืดฟาด\nฟืน\nฟื้น\nฟืม\nฟุ\nฟุ้ง\nฟุต\nฟุน\nฟุบ\nฟุ่บ\nฟุ่มเฟือย\nฟุลสแก๊ป\nฟู\nฟู่\nฟูก\nฟูด\nฟูม\nเฟ็ด\nเฟ้น\nเฟลด์สปาร์\nเฟ้อ\nเฟอร์เมียม\nเฟอะ\nเฟอะฟะ\nเฟะ\nเฟะฟะ\nเฟิน\nเฟี้ยม\nเฟี้ยว\nเฟือ\nเฟื้อ\nเฟือง\nเฟื่อง\nเฟื้อง\nเฟือน\nเฟือย\nเฟื้อย\nแฟ่\nแฟง\nแฟชั่น\nแฟน\nแฟบ\nแฟ้ม\nแฟรนเซียม\nแฟลกซ์\nแฟลต\nแฟะ\nโฟกัส\nไฟ\nภควดี\nภควัต\nภควันต์\nภควัม\nภควา\nภควาน\nภคะ\nภคันทลา\nภคินี\nภณะ\nภณิดา\nภพ\nภมร\nภมริน\nภมรี\nภมุกา\nภยันตราย\nภยาคติ\nภระ\nภรณี\nภรต\nภรรดร\nภรรดา\nภรรยา\nภระมร\nภระมรี\nภราดร\nภราดรภาพ\nภราดา\nภริยา\nภฤศ\nภวะ\nภวตัณหา\nภวนะ\nภวังค์\nภวังคจิต\nภักดี\nภักตะ\nภักติ\nภักษ์\nภักษา\nภักษาหาร\nภัค\nภัคน์\nภังคะ\nภังคี\nภัจ\nภัณฑ์\nภัณฑาคาร\nภัณฑาคาริก\nภัณฑารักษ์\nภัณฑนะ\nภัณฑู\nภัต\nภัตตาคาร\nภัตตาหาร\nภัตร\nภัทระ\nภัทรกัป\nภัพ\nภัย\nภัสดา\nภัสตรา\nภัสมะ\nภัสสร\nภา\nภาค\nภาคย์\nภาคยานุวัติ\nภาคินี\nภาคิไนย\nภาคี\nภาคียะ\nภาชนะ\nภาชี\nภาณ\nภาณวาร\nภาณกะ\nภาณี\nภาณุ\nภาดร\nภาดา\nภาตระ\nภาตา\nภาตุ\nภาติกะ\nภาติยะ\nภาพ\nภาพย์\nภาม\nภาย\nภาร\nภาระ\nภารดี\nภารต\nภารตี\nภารยทรัพย์\nภารยา\nภารา\nภาวนา\nภาวะ\nภาษ\nภาษณ์\nภาษา\nภาษิต\nภาษี\nภาส\nภาสน์\nภาสวร\nภาสา\nภาสุระ\nภิกขา\nภิกขาจาร\nภิกขุ\nภิกขุนี\nภิกษา\nภิกษาจาร\nภิกษาหาร\nภิกษุ\nภิกษุณี\nภิงคาร\nภิญโญ\nภิตติ\nภินท์\nภินทนาการ\nภิยโย\nภิรมย์\nภิรมย์สุรางค์\nภิษัช\nภิสัก\nภีตะ\nภีมะ\nภีรุ\nภุกต์\nภุขัน\nภุช\nภุชงค์\nภุต\nภุมมะ\nภุมรัตน์\nภุมวาร\nภุมรา\nภุมริน\nภุมรี\nภุมเรศ\nภู\nภู่\nภูต\nภูติ\nภูม\nภูมิ\nภูมี\nภูริ\nภูรี\nภูวดล\nภูวนาถ\nภูวเนตร\nภูวไนย\nภูษา\nภูษิต\nเภกะ\nเภตรา\nเภท\nเภทุบาย\nเภรี\nเภสัช\nโภค\nโภคะ\nโภคิน\nโภคี\nโภไคย\nโภไคศวรรย์\nโภช\nโภชย์\nโภชก\nโภชนะ\nโภชนา\nโภชนาหาร\nโภชนียะ\nไภริน\nไภรี\nไภษัชคุรุ\nไภษัชย์\nมกร\nมกราคม\nมกุฎ\nมคธ\nมฆวัน\nมฆะ\nมฆา\nม่ง\nมงกุฎ\nมงโกรย\nมงคล\nมงคลวาร\nมณฑ์\nมณฑก\nมณฑนะ\nมณฑป\nมณฑล\nมณฑา\nมณฑารพ\nมณฑิระ\nมณเฑียร\nมณี\nมด\nมตะ\nมตกภัต\nมติ\nมทนะ\nมทะ\nมธุ\nมธุกร\nมธุการี\nมธุลีห์\nมธุระ\nมธุรพจน์\nมน\nมนินทรีย์\nม่น\nมนต์\nมนตร์\nมนตรี\nมนท์\nมนทิราลัย\nมนเทียร\nมนสิการ\nมนัส\nมนัสวี\nมนินทรีย์\nมนิมนา\nมนิลา\nมนุญ\nมนุษย์\nมนุษยชาติ\nมนุษยธรรม\nมนุษย์มนา\nมนุษยโลก\nมนุษยศาสตร์\nมนุษยสัมพันธ์\nมนุสาร\nมนู\nมนูสาร\nมโน\nมโนช\nมโนชญ์\nมโนราห์\nมโนสาเร่\nมโนห์รา\nมมังการ\nมยุรฉัตร\nมยุระ\nมยุรา\nมยุรี\nมยุเรศ\nมยูร\nมรกต\nมรคา\nมรฑป\nมรณ์\nมรณะ\nมรณกรรม\nมรณบัตร\nมรณภัย\nมรณภาพ\nมรดก\nมรรค\nมรรคา\nมรรตัย\nมรรยาท\nมรรษ\nมรสุม\nมริจ\nมริยาท\nมรีจิ\nมรุต\nมฤค\nมฤคย์\nมฤคศิระ\nมฤคศิรมาส\nมฤคเศียร\nมฤคินทร์\nมฤเคนทร์\nมฤดก\nมฤต\nมฤตยู\nมฤทุ\nมล\nมละ\nมลัก\nมลังเมลือง\nมล้าง\nมลาย\nมลายู\nมวก\nม่วง\nมวน\nม่วน\nม้วน\nม้วนต้วน\nมวย\nม้วย\nมวล\nมหกรรม\nมหรณพ\nมหรรณพ\nมหรสพ\nมหัจฉริยะ\nมหัต\nมหัทธนะ\nมหันต์\nมหันตโทษ\nมหัพภาค\nมหัศจรรย์\nมหา\nมหากฐิน\nมหากาฬ\nมหาขันธกะ\nมหาจักร\nมหาชน\nมหาชัย\nมหาชาติ\nมหาโชตรัต\nมหาดไทย\nมหาดเล็ก\nมหาตมะ\nมหาไถ่\nมหาเทพ\nมหาเทพี\nมหาเทวี\nมหาธาตุ\nมหานิกาย\nมหานิล\nมหาบพิตร\nมหาบัณฑิต\nมหาพน\nมหาพรหม\nมหาภารตะ\nมหาภิเนษกรมณ์\nมหาภูต\nมหาเมฆ\nมหายาน\nมหายุค\nมหาราช\nมหาฤกษ์\nมหาละลวย\nมหาละลาย\nมหาวงศ์\nมหาวรรค\nมหาวิทยาลัย\nมหาศักราช\nมหาศาล\nมหาสงกรานต์\nมหาสดมภ์\nมหาสดำ\nมหาสมุทร\nมหาสาวก\nมหาหงส์\nมหาหิงคุ์\nมหาอำนาจ\nมหาอุจ\nมหาอุด\nมหาอุปรากร\nมหาอุปราช\nมหิ\nมหิดล\nมหิธร\nมหิป\nมหิงส์\nมหิทธิ\nมหินท์\nมหิมา\nมหิศร\nมหิศวร\nมหิษ\nมหิษี\nมหึมา\nมเหยงค์\nมเหศ\nมเหศวร\nมเหศักดิ์\nมเหสักข์\nมเหสิ\nมเหสี\nมเหาฬาร\nมโหรสพ\nมโหระทึก\nมโหรี\nมโหฬาร\nมไหศวรรย์\nมอ\nมอง\nมองโกลอยด์\nมองโกเลีย\nมองคร่อ\nมอญ\nมอด\nม่อต้อ\nมอเตอร์\nมอเตอร์ไซค์\nมอน\nม่อน\nมอบ\nมอม\nมอมแมม\nม่อย\nมอร์ฟีน\nมอระกู่\nมอลโทส\nม่อลอกม่อแลก\nม่อห้อม\nม่อฮ่อม\nมะ\nมะกรูด\nมะกล่ำ\nมะกอก\nมะก่อง\nมะกะโรนี\nมะกา\nมะเกลือ\nมะเกี๋ยง\nมะข่วง\nมะขวิด\nมะขาม\nมะเขือ\nมะแข่น\nมะคังแดง\nมะค่า\nมะคำไก่\nมะคำดีควาย\nมะงั่ว\nมะงุมมะงาหรา\nมะซัก\nมะซาง\nมะดัน\nมะดีหวี\nมะดูก\nมะเดหวี\nมะเดื่อ\nมะต้อง\nมะตะบะ\nมะตาด\nมะตาหะรี\nมะตึ่ง\nมะตื๋น\nมะตูม\nมะแตก\nมะโต\nมะนาว\nมะปราง\nมะปริง\nมะฝ่อ\nมะพร้าว\nมะพลับ\nมะพูด\nมะแพน\nมะแพร้ว\nมะเฟือง\nมะแฟน\nมะไฟ\nมะม่วง\nมะม่าว\nมะมี่\nมะมื่น\nมะมุด\nมะเมอ\nมะเมีย\nมะเมื่อย\nมะแม\nมะยง\nมะยม\nมะระ\nมะริด\nมะรืน\nมะรุม\nมะรุมมะตุ้ม\nมะเร็ง\nมะเรื่อง\nมะโรง\nมะลอกมะแลก\nมะละกอ\nมะลิ\nมะลื่น\nมะลืมดำ\nมะลุลี\nมะแว้ง\nมะสัง\nมะเส็ง\nมะหวด\nมะหะหมัด\nมะหาด\nมะหิ่ง\nมะเหงก\nมะอึก\nมะฮอกกานี\nมัก\nมักกะโรนี\nมักกะลีผล\nมักกะสัน\nมักขะ\nมั่กขั้ก\nมักขิกา\nมัค\nมัคคะ\nมัคคุเทศก์\nมัคนายก\nมัฆวาน\nมั่ง\nมังกง\nมังกร\nมังกุ\nมังคละ\nมังค่า\nมังคุด\nมังตาน\nมังสวิรัติ\nมังสะ\nมังสี\nมัจจะ\nมัจจุ\nมัจฉริยะ\nมัจฉรี\nมัจฉะ\nมัจฉา\nมัชชะ\nมัชวิรัติ\nมัชชาระ\nมัชฌันติกสมัย\nมัชฌิม\nมัชฌิมา\nมัญจา\nมัญชิษฐา\nมัญชุ\nมัญชุสา\nมัญชูสา\nมัญเชฏฐะ\nมัฏฐะ\nมัณฑนศิลป์\nมัณฑนา\nมัด\nมัตตะ\nมัตตัญญู\nมัตตา\nมัตติกา\nมัตถกะ\nมัตถลุงค์\nมัตสยะ\nมัตสยา\nมัตสระ\nมัตสริน\nมัททวะ\nมัทนะ\nมัทยะ\nมัธยฐาน\nมัธยม\nมัธยันห์\nมัธยัสถ์\nมัน\nมั่น\nมันตา\nมันถะ\nมันทิระ\nมันทิราลัย\nมับ\nมั้ม\nมัมมี่\nมัย\nมัลละ\nมัลลิกา\nมัว\nมัวซัว\nมั่ว\nมัศยา\nมัสตุ\nมัสตาร์ด\nมัสมั่น\nมัสยิด\nมัสรู่\nมัสลิน\nมัสสุ\nมา\nม้า\nมาก\nมาคสิระ\nมาฆบูชา\nมาฆะ\nม้าง\nมางสะ\nมาณพ\nมาณวิกา\nมาด\nมาดา\nมาตงค์\nมาตร\nมาตรา\nมาตฤ\nมาตังคะ\nมาตา\nมาตามหัยกะ\nมาตามหัยกา\nมาตามหัยยิกา\nมาติกะ\nมาติกา\nมาตุ\nมาตุจฉา\nมาตุรงค์\nมาตุเรศ\nมาตุละ\nมาตุลา\nมาตุลานี\nมาทะ\nมาธยมิก\nมาธยมิกะ\nมาธุระ\nมาธุสร\nมาธูระ\nมาน\nม่าน\nม้าน\nมานพ\nมานะ\nมานัต\nมานัส\nมานิต\nมานี\nมานุษ\nมานุษยวิทยา\nมาโนชญ์\nมาบ\nมาภา\nม้าม\nม่าย\nมายา\nมาร\nมาราธิราช\nมารค\nมารดร\nมารดา\nมารยา\nมารยาท\nมารศรี\nมารษา\nมาริต\nมารุต\nมาลย์\nมาลัย\nมาลา\nมาลาตี\nมาลาเรีย\nมาลินี\nมาลี\nมาลุต\nมาศ\nมาส\nมาสก\nมาห์\nม่าห์\nมาหิส\nม่าเหมี่ยว\nมาฬก\nมิ\nมิค\nมิคสัญญี\nมิ่ง\nมิจฉา\nมิด\nมิตร\nมิติ\nมิเตอร์\nมิถยา\nมิถุน\nมิถุนายน\nมิทธะ\nมินตรา\nมินตา\nมินหม้อ\nมิ่ม\nมิ้ม\nมิไย\nมิรันตี\nมิลลิกรัม\nมิลลิบาร์\nมิลลิเมตร\nมิลลิลิตร\nมิลักขะ\nมิลักขู\nมิส\nมิสกรี\nมิสกวัน\nมิสซา\nมี\nมี่\nมีด\nมีเทน\nมีน\nมีนาคม\nมี่สั้ว\nมึง\nมึน\nมืด\nมืน\nมื่น\nมือ\nมื้อ\nมุ\nมุก\nมุกดา\nมุกดาหาร\nมุกุระ\nมุข\nมุขเด็จ\nมุขยประโยค\nมุโขโลกนะ\nมุคคะ\nมุง\nมุ่ง\nมุ้ง\nมุจฉา\nมุจนะ\nมุจลินท์\nมุญจนะ\nมุญชะ\nมุฐิ\nมุณฑกะ\nมุณฑะ\nมุด\nมุตกิด\nมุตฆาต\nมุตตะ\nมุตตา\nมุตติ\nมุตะ\nมุติ\nมุททา\nมุทธชะ\nมุทธา\nมุทธาภิเษก\nมุทรา\nมุทริกา\nมุทะลุ\nมุทา\nมุทิกา\nมุทิงค์\nมุทิตา\nมุทุ\nมุทุตา\nมุ่น\nมุนิ\nมุนินทร์\nมุนี\nมุบ\nมุบมิบ\nมุม\nมุ้ม\nมุ่ย\nมุรธา\nมุรธาภิเษก\nมุสละ\nมุสลิม\nมุสา\nมุสิก\nมุหงิด\nมุหน่าย\nมุหุต\nมุฮัมมัด\nมูก\nมูเซอ\nมูตร\nมู่ทู่\nมูน\nมูมมาม\nมูรติ\nมูรธา\nมูรธาภิเษก\nมูล\nมูละ\nมูลา\nมูลิกากร\nมู่ลี่\nมู่เล่\nมูสัง\nมูสิก\nมูสิกะ\nมูสิกทันต์\nเม\nเม็ก\nเมกะเฮิรตซ์\nเมขลา\nเมฆ\nเมฆา\nเมฆินทร์\nเมฆี\nเม็ง\nเม็ด\nเมตตา\nเมตไตรย\nเมตร\nเมตริก\nเมตริกตัน\nเมถุน\nเมท\nเมโท\nเมทนี\nเมทินี\nเมทนีดล\nเมทานอล\nเมทิลแอลกอฮอล์\nเมธ\nเมธา\nเมธาวี\nเมธี\nเมน\nเม่น\nเม้น\nเมนเดลีเวียม\nเมนทอล\nเม้ม\nเมรัย\nเมริเดียน\nเมรุ\nเมล์\nเมล็ด\nเมลือง\nเมษ\nเมษายน\nเมห์\nเมหนะ\nเมหะ\nเมะ\nเมา\nเม่า\nเม้า\nเมารี\nเมาลี\nเมาฬี\nเมาะ\nเมิง\nเมิน\nเมิล\nเมีย\nเมียง\nเมี่ยง\nเมี้ยน\nเมือ\nเมื้อ\nเมื่อ\nเมือก\nเมือง\nเมือบ\nเมื่อย\nแม่\nแม้\nแมก\nแมกนีเซียม\nแมง\nแมงกะพรุน\nแมงกานิน\nแมงกานีส\nแมงคา\nแมงคาเรือง\nแมงช้าง\nแมงดา\nแมงลัก\nแม่ตะงาว\nแมน\nแม่น\nแม้น\nแมลง\nแมลบ\nแมว\nแม้ว\nแมะ\nโม\nโม่\nโม้\nโมก\nโมกข์\nโมกษะ\nโมฆกรรม\nโมฆสัญญา\nโมฆะ\nโมฆียกรรม\nโมฆียะ\nโมง\nโม่ง\nโมงครุ่ม\nโมทนา\nโมโนแซ็กคาไรด์\nโมไนย\nโมเม\nโมเมนต์\nโมเย\nโมรา\nโมรี\nโมเรส\nโมลิบดีนัม\nโมลี\nโมเลกุล\nโมเสก\nโมเสส\nโม่ห์\nโมหะ\nโมหันธ์\nโมหาคติ\nโมโห\nไม่\nไม้\nไมกา\nไมครอน\nไมโครกรัม\nไมโครฟิล์ม\nไมโครโฟน\nไมโครมิเตอร์\nไมโครเมตร\nไมโครลิตร\nไมโครเวฟ\nไมตรี\nไมยราบ\nไมล์\nยก\nยกกระบัตร\nยกนะ\nยง\nยงโย่\nยชุรเวท\nยติ\nยติภังค์\nยถากรรม\nยถาภูตญาณ\nย่น\nยนต์\nยนตร์\nยม\nยมก\nยมโดย\nยมนา\nยมล\nยมะ\nยรรยง\nยล\nยวง\nยวด\nยวน\nยวบ\nย้วย\nยวรยาตร\nยศ\nยโส\nยอ\nย่อ\nยอก\nย็อกแย็ก\nยอง\nย่อง\nย้อง\nยอด\nยอน\nย้อน\nยอบ\nยอม\nย่อม\nย้อม\nย่อย\nย้อย\nย้อแย้\nยะ\nย่ะ\nยะยอบ\nยะยับ\nยัก\nยักข์\nยักขินี\nยักษ์\nยักษา\nยักษิณี\nยักษี\nยัง\nยั้ง\nยั่งยืน\nยัชโญปวีต\nยัญ\nยัญญะ\nยัด\nยัติภังค์\nยัน\nยั่น\nยันต์\nยันตร\nยันตร์\nยันตรกรรม\nยั่นตะนี\nยับ\nยั่ว\nยั้ว\nยั้วเยี้ย\nยัวรยาตร\nยัวะ\nยัษฏิ\nยา\nย่า\nยาก\nยาคุ\nยาคู\nยาง\nย่าง\nยางพารา\nยาจก\nยาจนา\nยาไฉน\nยาด\nยาดา\nยาตร\nยาตรา\nยาน\nย่าน\nย่านพาโหม\nยานมาศ\nยานุมาศ\nยานี\nยาม\nย่าม\nยามะ\nยามักการ\nยามา\nยาย\nย้าย\nยายี\nยาว\nย้าว\nยาวกาลิก\nยาวชีวิก\nยาสูบ\nย่าหยา\nยาหยี\nยำ\nย่ำ\nย้ำ\nยำเยีย\nยิก\nยิง\nยิ่ง\nยิฏฐะ\nยิน\nยิบ\nยิบหยี\nยิปซัม\nยิปซี\nยิ้ม\nยิมนาสติก\nยิหวา\nยี\nยี่\nยี้\nยี่ก่า\nยี่เก\nยี่เข่ง\nยี่โถ\nยีน\nยี่โป้\nยี่ภู่\nยีราฟ\nยี่สก\nยี่สง\nยี่สน\nยี่สาน\nยี่สุ่น\nยี่หระ\nยี่หร่า\nยี่ห้อ\nยี่หุบ\nยึกยัก\nยึกยือ\nยึด\nยืด\nยืน\nยื่น\nยืม\nยื้อ\nยุ\nยุกกระบัตร\nยุกดิ\nยุกติ\nยุกติธรรม\nยุกต์\nยุค\nยุคนธร\nยุคล\nยุคันต์\nยุคันธร\nยุคุนธร\nยุง\nยุ่ง\nยุ้ง\nยุด\nยุต\nยุติ\nยุทธ\nยุทธ์\nยุทธนา\nยุทโธปกรณ์\nยุบ\nยุ่บ\nยุ่บยั่บ\nยุบล\nยุพดี\nยุพเรศ\nยุพา\nยุพาน\nยุพาพาล\nยุพาพิน\nยุ่มย่าม\nยุ่ย\nยุ้ย\nยุรยาตร\nยูรยาตร\nยุวชน\nยุวดี\nยุวราช\nยุวา\nยุวาน\nยู\nยู่\nยูง\nยูโด\nยูถะ\nยูถิกา\nยูริก\nยูเรนัส\nยูเรเนียม\nยูโรเพียม\nเย\nเย้\nเยง\nเยซู\nเย็ด\nเย็น\nเย็นตาโฟ\nเย็นเตาโฟ\nเย็บ\nเย้ย\nเยอ\nเย่อ\nเยอรมัน\nเยอว\nเย่อหยิ่ง\nเยอะ\nเยอะแยะ\nเยา\nเย้า\nเยาว์\nเยาวชน\nเยาวมาลย์\nเยาวยอด\nเยาวราช\nเยาวเรศ\nเยาวลักษณ์\nเยาวพา\nเยาวพาณี\nเยาวพาน\nเยาะ\nเยิง\nเยิน\nเยิ่น\nเยิ่นเย้อ\nเยินยอ\nเยิบ\nเยิบยาบ\nเยิ้ม\nเยีย\nเยี่ยง\nเยี่ยงอย่าง\nเยียงผา\nเยียดยัด\nเยียน\nเยียบ\nเยี่ยม\nเยียรบับ\nเยียรยง\nเยียว\nเยี่ยว\nเยียวยา\nเยือ\nเยื่อ\nเยื้อ\nเยือก\nเยือง\nเยื่อง\nเยื้อง\nเยือน\nเยื้อน\nแย่\nแย้\nแยก\nแยง\nแย่ง\nแย้ง\nแยงแย่\nแยงแย้\nแยบ\nแย็บ\nแยม\nแย้ม\nแยแส\nแยะ\nโย\nโย้\nโยก\nโยกเยก\nโยคาพจร\nโยคาวจร\nโยคเกณฑ์\nโยคยะ\nโยคะ\nโยคิน\nโยคี\nโยง\nโย่ง\nโย่งเย่ง\nโยงโย่\nโยชน์\nโยชนา\nโยถิกะ\nโยทะกา\nโยธวาทิต\nโยธา\nโยธิน\nโยน\nโยนก\nโยนิโส\nโยนี\nโยม\nโยโส\nใย\nไย\nไย่\nไยดี\nไยไพ\nรก\nรง\nรงค์\nรงควัตถุ\nรงรอง\nรจนา\nรจเรข\nรจเลข\nรจิต\nรชตะ\nรชนิ\nรชนี\nรชะ\nรณรงค์\nรด\nรดี\nรตนะ\nรตะ\nรติ\nรถ\nรน\nร่น\nรบ\nรบาญ\nรพี\nรม\nร่ม\nรมณี\nรมณีย์\nรมณียสถาน\nรมย์\nรมเยศ\nรยางค์\nรวก\nรวง\nร่วง\nรวด\nรวน\nรวนเร\nร่วน\nรวบ\nรวม\nร่วม\nรวย\nรวิ\nรวิวาร\nรวี\nรศนา\nรส\nรสนา\nรสสุคนธ์\nรสายนเวท\nรสิก\nรหัท\nรหัส\nรโห\nรโหฐาน\nรอ\nร่อ\nรอก\nรอง\nร่อง\nร้อง\nรองเง็ง\nร่องแร่ง\nรอด\nรอน\nร่อน\nร้อน\nรอบ\nรอบคอบ\nรอม\nรอมชอม\nรอมร่อ\nรอย\nร่อย\nร้อย\nร่อแร่\nระ\nระกะ\nระกา\nระกำ\nระเกะระกะ\nระคน\nระคาง\nระคาย\nระแคะ\nระฆัง\nระงม\nระงับ\nระแง้\nระโงกหิน\nระชวย\nระดม\nระดะ\nระดับ\nระดา\nระด่าว\nระดู\nระเด่น\nระเดียง\nระแด\nระตู\nระทก\nระทด\nระทม\nระทวย\nระทา\nระทึก\nระแทะ\nระนาด\nระนาบ\nระนาม\nระนาว\nระเนน\nระเนระนาด\nระเนียด\nระแนง\nระแนะ\nระบบ\nระบม\nระบอบ\nระบัด\nระบับ\nระบาด\nระบาย\nระบำ\nระบิล\nระบือ\nระบุ\nระเบง\nระเบ็ง\nระเบิด\nระเบียง\nระเบียน\nระเบียบ\nระแบบ\nระมัดระวัง\nระมาด\nระเมียร\nระย่อ\nระย่อม\nระยะ\nระยั้ง\nระยับ\nระย้า\nระยาบ\nระยำ\nระยิบระยับ\nระโยง\nระโยงระยาง\nระรวย\nระรอง\nระร่อน\nระรัว\nระราน\nระร่าย\nระริก\nระรี่\nระรึง\nระรื่น\nระรื้น\nระเร้ง\nระเริง\nระเรียง\nระเรื่อย\nระแรง\nระลวง\nระลอก\nระลึก\nระวัง\nระวาง\nระวาย\nระวิง\nระแวง\nระแวดระวัง\nระไว\nระส่ำระสาย\nระหกระเหิน\nระหง\nระหวย\nระหว่าง\nระหองระแหง\nระหัด\nระหาย\nระเห็จ\nระเหย\nระเหระหน\nระเหหน\nระเหิด\nระเหินระหก\nระแหง\nระโหย\nระอา\nระอิดระอา\nระอุ\nรัก\nรักข์\nรักขิต\nรักตะ\nรักบี้\nรักเร่\nรักแร้\nรักษ์\nรักษา\nรัง\nรั้ง\nรังเกียจ\nรังแก\nรังค์\nรังควาน\nรังแค\nรังรอง\nรังวัด\nรังสิ\nรังสี\nรังสิมันตุ์\nรังสิมา\nรัจฉา\nรัช\nรัชชูปการ\nรัชมังคลาภิเษก\nรัชชุ\nรัชฎาภิเษก\nรัชดาภิเษก\nรัชนะ\nรัชนี\nรัญจวน\nรัฏฐาภิปาลโนบาย\nรัฐ\nรัฐประศาสโนบาย\nรัฐประศาสนศาสตร์\nรัด\nรัต\nรัตกัมพล\nรัตมณี\nรัตคน\nรัตจันทน์\nรัตตัญญู\nรัตติ\nรัตน์\nรัตนะ\nรัตนโกสินทร์\nรัตนโกสินทรศก\nรัตนชาติ\nรัตนตรัย\nรัตนบัลลังก์\nรัตนวราภรณ์\nรัตนสิงหาสน์\nรัตนา\nรัตนากร\nรัตนาภรณ์\nรัตนาวลี\nรัตมา\nรัถ\nรัถยา\nรัทเทอร์ฟอร์เดียม\nรัน\nรั้น\nรันทด\nรันทวย\nรับ\nรัมณียสถาน\nรัมภา\nรัมมี่\nรัมย์\nรัย\nรัว\nรั่ว\nรั้ว\nรัศมิมัต\nรัศมิมาน\nรัศมี\nรัษฎากร\nรัสเซีย\nรัสสะ\nรัสสระ\nรา\nร่า\nร้า\nราก\nรากษส\nรากสาด\nราคะ\nราคจริต\nราคา\nราคิน\nราคี\nราง\nร่าง\nร้าง\nรางจืด\nรางชาง\nรางวัล\nราช\nราชกิจจานุเบกษา\nราชนิกุล\nราชวโรงการ\nราชญี\nราชดัด\nราชพฤกษ์\nราชมาณพ\nราชมาษ\nราชมาส\nราชย์\nราชสีห์\nราชะ\nราชัน\nราชันย์\nราชัย\nราชา\nราชาธิปไตย\nราชาธิราช\nราชาภิเษก\nราชายตนะ\nราชาวดี\nราชี\nราชินิกุล\nราชินีกุล\nราชินี\nราชินูปถัมภ์\nราชูปถัมภ์\nราชูปโภค\nราเชน\nราเชนทร์\nราเชนทรยาน\nราโชวาท\nราไชศวรรย์\nราญ\nราญรอน\nราด\nราต\nราตร\nราตรี\nราน\nร่าน\nร้าน\nราบ\nราพณ์\nราพณาสูร\nราม\nรามเกียรติ์\nรามสูร\nรามัญ\nรามา\nราย\nร่าย\nร้าย\nราว\nร้าว\nราวี\nราศี\nราษฎร\nราษฎร์\nราษตรี\nราษราตรี\nราหุ\nราหู\nรำ\nร่ำ\nรำคาญ\nรำงับ\nรำจวน\nรำบาญ\nรำพัน\nรำพาย\nรำพึง\nรำเพย\nรำไพ\nรำมะนา\nรำมะนาด\nรำมะร่อ\nร่ำรวย\nร่ำร่ำ\nรำไร\nรำลึก\nรำหัด\nรำหัส\nริ\nริก\nริดสีดวง\nริน\nริ้น\nริบ\nริบบิ้น\nริบรี่\nริบหรี่\nริปุ\nริปู\nริม\nริ้ว\nริษยา\nรี\nรี่\nรี้พล\nรีด\nรีดักชัน\nรีต\nรีเนียม\nรีบ\nรีม\nรีรอ\nรี้ริก\nรึง\nรึ้ง\nรื่น\nรื้น\nรื้อ\nรุ\nรุก\nรุกข์\nรุกขชาติ\nรุกขเทวดา\nรุกขมูล\nรุกขา\nรุกรุย\nรุ่ง\nรุ้ง\nรุงรัง\nรุ่งริ่ง\nรุจ\nรุจา\nรุจนะ\nรุจิ\nรุจี\nรุจิระ\nรุจิรา\nรุด\nรุต\nรุทธ์\nรุทระ\nรุธิร\nรุธิระ\nรุเธียร\nรุน\nรุ่น\nรุบรู่\nรุม\nรุ่ม\nรุ่มร่าม\nรุย\nรุ่ย\nรุรุ\nรุหะ\nรู\nรู่\nรู้\nรูจี\nรูด\nรูทีเนียม\nรูบิเดียม\nรูป\nรูปิยะ\nรูปี\nรูเล็ตต์\nเร่\nเรข\nเรขา\nเรขาคณิต\nเร็ง\nเร่ง\nเร้ง\nเรณุ\nเรณู\nเรดอน\nเรดาร์\nเรเดียม\nเร้น\nเรรวน\nเรไร\nเร็ว\nเร่ว\nเรวดี\nเรอ\nเร่อ\nเรา\nเร่า\nเร้า\nเราะ\nเริง\nเริด\nเริม\nเริ่ม\nเริ้ม\nเริศร้าง\nเรี่ย\nเรี้ย\nเรียก\nเรียง\nเรียด\nเรียน\nเรียบ\nเรียม\nเรี่ยม\nเรียว\nเรี่ยว\nเรี้ยวรก\nเรือ\nเรื่อ\nเรื้อ\nเรือก\nเรือง\nเรื่อง\nเรื้อง\nเรืองรอง\nเรือด\nเรือน\nเรื้อน\nเรื่อย\nแร\nแร่\nแรก\nแร็กเกต\nแรง\nแร่ง\nแร้ง\nแรด\nแร้นแค้น\nแรม\nแร้ว\nแระ\nโร\nโร่\nโรค\nโรคา\nโรคาพาธ\nโรง\nโรจ\nโรจน์\nโรเดียม\nโรตี\nโรท\nโรธ\nโรม\nโรมัน\nโรเมอร์\nโรย\nโรเร\nโรหิณี\nโรหิต\nไร\nไร่\nไร้\nไรย์\nฤกษ์\nฤกษณะ\nฤคเวท\nฤชา\nฤชุ\nฤณ\nฤดี\nฤดียา\nฤดู\nฤต\nฤติยา\nฤตุ\nฤทธา\nฤทธิ์\nฤทัย\nฤษภ\nฤษยา\nฤษี\nฤๅ\nฤๅดี\nฤๅทัย\nฤๅษี\nฤๅสาย\nลก\nล่ก\nลฆุ\nลง\nล่ง\nลงกา\nล้งเล้ง\nลด\nลดา\nลดาวัลย์\nลน\nล้น\nลบ\nลบอง\nลพ\nลพุช\nลม\nล่ม\nล้ม\nลมาด\nลรรลุง\nลลนา\nลลิต\nลวก\nลวง\nล่วง\nล้วง\nลวณะ\nลวด\nล้วน\nลวนลาม\nลวนะ\nล่วม\nลวะ\nลวิตร\nลหุ\nลหุกาบัติ\nล่อ\nล้อ\nลอก\nล็อก\nล็อกเกต\nลอกแลก\nลอการิทึม\nลอง\nล่อง\nลองกอง\nลองจิจูด\nลองไน\nลอด\nลอตเตอรี่\nลอน\nล่อน\nลอบ\nลอม\nล้อม\nลอมชอม\nลอมพอก\nลอย\nล่อย\nล่อแล่\nลอว์เรนเซียม\nลออ\nละ\nล่ะ\nละคร\nละติจูด\nละบม\nละบอง\nละบือ\nละเบ็ง\nละโบม\nละม่อม\nละมั่ง\nละมาน\nละม้าย\nละมุ\nละมุด\nละมุน\nละเมอ\nละเมาะ\nละเมิด\nละเมียด\nละแมะ\nละโมก\nละโมบ\nละไม\nละลวย\nละลอก\nละล้า\nละล้าละลัง\nละลาน\nละลาบละล้วง\nละลาย\nละล้าว\nละล่ำละลัก\nละลิบ\nละลุม\nละเลง\nละเล้า\nละเลาะ\nละเลิง\nละเลียด\nละเลียบ\nละไล้\nละว้า\nละวาด\nละเวง\nละแวก\nละโว้\nละหมาด\nละห้อย\nละหาน\nละหาร\nละหุ่ง\nละเหย\nละเหี่ย\nละอง\nละออง\nละอาย\nละเอียด\nละแอน\nลัก\nลักขณะ\nลักขณา\nลักขะ\nลักขี\nลักจั่น\nลักปิดลักเปิด\nลักษณ์\nลักษณนาม\nลักษณะ\nลักษณาการ\nลักษมณ์\nลักษมาณา\nลักษมี\nลักษะ\nลัคคะ\nลัคน์\nลัคนา\nลัง\nลั่ง\nลังกา\nลังคี\nลังถึง\nลังลอง\nลังเล\nลังสาด\nลัชชา\nลัชชี\nลัญจ์\nลัญจกร\nลัญฉกร\nลัญฉน์\nลัฐิ\nลัฐิกา\nลัด\nลัดา\nลัทธ์\nลัทธิ\nลัน\nลั่น\nลันเต\nลันเตา\nลันไต\nลั่นทม\nลันโทม\nลับ\nลัพธ์\nลัพธิ\nลัภ\nลัภนะ\nลัภย์\nลัมพ์\nลัย\nลา\nล่า\nล้า\nลาก\nลาง\nล่าง\nล้าง\nลางลิง\nลางสาด\nลาช\nลาชะ\nลาชา\nลาญ\nลาด\nลาดเลา\nล้าต้า\nล่าเตียง\nลาน\nล่าน\nล้าน\nลาบ\nลาพอน\nลาภ\nลาม\nล่าม\nลามก\nลาย\nล้าย\nลายสือ\nลาลา\nลาว\nลาวัณย์\nลาวา\nลำ\nล่ำ\nล้ำ\nลำเข็ญ\nลำแข\nลำเค็ญ\nลำเจียก\nลำดวน\nลำดับ\nลำเนา\nลำบอง\nลำบาก\nลำปำ\nลำพวน\nลำพอง\nลำพัง\nลำพู\nลำเพ็ญ\nลำเพา\nลำแพน\nลำโพง\nลำไพ่\nลำภุขัน\nลำมะลอก\nลำยอง\nลำไย\nลำลอง\nล่ำลา\nลำลาบ\nลำลึก\nลำเลาะ\nลำเลิก\nลำเลียง\nลำเวียง\nลำเอียก\nลำเอียง\nลิ\nลิกขา\nลิกไนต์\nลิกู\nลิเก\nลิขนะ\nลิขสิทธิ์\nลิขิต\nลิง\nลิงค์\nลิด\nลิต\nลิตมัส\nลิตร\nลิเทียม\nลิ่น\nลิ้น\nลินจง\nลิ้นจี่\nลินลา\nลินสีด\nลิ่นฮื้อ\nลินิน\nลิบ\nลิปดา\nลิปสติก\nลิปิ\nลิฟต์\nลิเภา\nลิ่ม\nลิ้ม\nลิมป์\nลิมปนะ\nลิลิต\nลิว\nลิ่ว\nลิสง\nลี\nลี่\nลี้\nลีซอ\nลีบ\nลีลา\nลีลาศ\nลีฬหา\nลึก\nลึงค์\nลืด\nลื่น\nลื้น\nลืบ\nลืม\nลือ\nลื่อ\nลื้อ\nลุ\nลุก\nลุง\nลุ้ง\nลุ่น\nลุ้น\nลุพธ์\nลุ่ม\nลุมพี\nลุมพู\nลุย\nลุ่ย\nลุ้ย\nลู่\nลูก\nลูกระมาศ\nลูกเอ็น\nลูขะ\nลูทีเชียม\nลูบ\nเลก\nเล็ก\nเลข\nเลขา\nเลขาธิการ\nเลขานุการ\nเล็ง\nเล้ง\nเล่งฮื้อ\nเลเซอร์\nเลฑฑุ\nเลณฑุ\nเลณะ\nเล็ด\nเลน\nเล็น\nเล่น\nเลนส์\nเล็บ\nเลบง\nเลปกร\nเลปน์\nเลเป\nเลเพ\nเล็ม\nเล่ม\nเลย\nเลว\nเลวง\nเลวูโลส\nเลศ\nเลษฏุ\nเล่ห์\nเล่ห์กระเท่ห์\nเลหลัง\nเลหะ\nเลอ\nเล่อ\nเลอะ\nเลอะเทอะ\nเละ\nเละเทะ\nเลา\nเล่า\nเล้า\nเลากัย\nเล้าโลม\nเลาะ\nเลิก\nเลิ่กลั่ก\nเลิง\nเลิ้ง\nเลินเล่อ\nเลิศ\nเลีย\nเลียง\nเลี่ยง\nเลี้ยง\nเลียงผา\nเลียงฝ้าย\nเลียงมัน\nเลียน\nเลี่ยน\nเลียนไฟ\nเลียบ\nเลี่ยม\nเลียว\nเลี้ยว\nเลือก\nเลือง\nเลื่อง\nเลือด\nเลือน\nเลื่อน\nเลื่อม\nเลื่อย\nเลื้อย\nเลื่อยล้า\nแล\nแล่\nแล้\nแลก\nแล็กเกอร์\nแล็กโทส\nแลง\nแล่ง\nแล้ง\nแลน\nแล่น\nแลนทานัม\nแลบ\nแล้ว\nและ\nโล่\nโล้\nโลก\nโลกเชษฐ์\nโลกธรรม\nโลกธาตุ\nโลกนาถ\nโลกบาล\nโลกย์\nโลกัย\nโลกวัชชะ\nโลกวิทู\nโลกัตถจริยา\nโลกันตร์\nโลกา\nโลกาธิบดี\nโลกาธิปไตย\nโลกานุวัตร\nโลกาภิวัตน์\nโลกามิส\nโลกายัต\nโลกาวินาศ\nโลกิยะ\nโลกีย์\nโลกียวัตร\nโลกียวิสัย\nโลกียสุข\nโลกุตระ\nโลกุตรธรรม\nโลกุตรภูมิ\nโลง\nโล่ง\nโล้ง\nโล่งโจ้ง\nโล่งโต้ง\nโล้งโต้ง\nโลจนะ\nโลณะ\nโลด\nโล่ติ๊น\nโลโต\nโลท\nโลน\nโล้น\nโลภ\nโลม\nโลมเล้า\nโลมะ\nโลมา\nโลลุป\nโลเล\nโลโล\nโลโล้\nโลหะ\nโลหกุมภี\nโลหัช\nโลหิต\nไล่\nไล้\nไลย\nไลลา\nไล่เลี่ย\nฦๅ\nฦๅชา\nฦๅสาย\nวก\nวง\nวงก์\nวงกต\nวงศ์\nวงศกร\nวงศา\nวงษ์\nวจนะ\nวจี\nวชิระ\nวชิรปาณี\nวชิรหัตถ์\nวชิราวุธ\nวฏะ\nวฏาการ\nวณิช\nวณิชชา\nวณิชย์\nวณิชยา\nวณิพก\nวดี\nวทนะ\nวทัญญุตา\nวทัญญู\nวธุกา\nวธู\nวน\nวนศาสตร์\nวนสณฑ์\nวนสัณฑ์\nวนอุทยาน\nวนัส\nวนัสบดี\nวนา\nวนาดร\nวนาดอน\nวนานต์\nวนาลัย\nวนาลี\nวนาวาส\nวนาศรม\nวนาสณฑ์\nวนาสัณฑ์\nวนิดา\nวนิพก\nวเนจร\nวโนทยาน\nวยัคฆ์\nวยากรณ์\nวรดนู\nวรทาน\nวรมหาวิหาร\nวรงค์\nวรณะ\nวรรค\nวรรคย์\nวรรช\nวรรชย์\nวรรณะ\nวรรณกรรม\nวรรณคดี\nวรรณยุกต์\nวรรณยุต\nวรรณศิลป์\nวรรณนา\nวรรณพฤติ\nวรรณึก\nวรรธกะ\nวรรธนะ\nวรรษ\nวรรษา\nวรวิหาร\nวรัญญู\nวรางคณา\nวรางคนา\nวราห์\nวราหะ\nวรุณ\nวโรดม\nวฤก\nวลัช\nวลัญช์\nวลัญชน์\nวลัย\nวลาหก\nวลี\nวศค\nวศะ\nวศิน\nวสนะ\nวสภะ\nวสละ\nวสวัดดี\nวสวัตตี\nวสะ\nวสันต์\nวสันตดิลก\nวสันตฤดู\nวสันตวิษุวัต\nวสา\nวสี\nวสุ\nวสุธา\nวสุนธรา\nวสุมดี\nวหะ\nวอ\nวอก\nวอกแวก\nว่องไว\nวอด\nวอน\nว่อน\nว็อบ\nวอมแวม\nวอลเลย์บอล\nวอแว\nวะ\nวัก\nวักกะ\nวัคคีย์\nวัคคุ\nวัคซีน\nวัง\nวังก์\nวังชา\nวังเวง\nวังศะ\nวังสะ\nวัจจะ\nวัจกุฎี\nวัจฉละ\nวัจน์\nวัช\nวัชชะ\nวัชพืช\nวัชฌ์\nวัชระ\nวัชรปาณี\nวัชรยาน\nวัชรอาสน์\nวัชราสน์\nวัชรินทร์\nวัชรี\nวัชเรนทร์\nวัฏ\nวัฏฏะ\nวัฏจักร\nวัฏทุกข์\nวัฏสงสาร\nวัฏกะ\nวัฏฏิ\nวัฒกะ\nวัฒกี\nวัฒนธรรม\nวัฒนะ\nวัฒนา\nวัณ\nวัณโรค\nวัณฏ์\nวัณณะ\nวัณนา\nวัด\nวัต\nวัตต์\nวัตตา\nวัตถ์\nวัตถาภรณ์\nวัตถาลังการ\nวัตถุ\nวัตนะ\nวัตร\nวัตสดร\nวัตสะ\nวัติ\nวัทน์\nวัน\nวันต์\nวันทนา\nวันทนาการ\nวันทนีย์\nวันทยหัตถ์\nวันทยาวุธ\nวันทา\nวันทิ\nวับ\nวับวาบ\nวับวาม\nวับแวบ\nวับแวม\nวัปปะ\nวัมมิกะ\nวัย\nวัลก์\nวัลคุ\nวัลย์\nวัลลภ\nวัลลี\nวัว\nวัสสะ\nวัสโสทก\nวัสดุ\nวัสตร์\nวัสน์\nวัสนะ\nวัสสานะ\nวัสสานฤดู\nวา\nว่า\nว้า\nว้าเหว่\nวาก\nว้าก\nวากยสัมพันธ์\nวากยะ\nวาง\nว่าง\nว้าง\nวาจก\nวาจา\nวาจาไปยะ\nวาจาล\nวาชเปยะ\nวาณิช\nวาณิชกะ\nวาณิชย์\nวาณี\nวาด\nวาต\nวาตะ\nวาตภัย\nวาท\nวาทศาสตร์\nวาทศิลป์\nวาทกะ\nวาทนะ\nวาทย์\nวาทยกร\nวาทิต\nวาทิน\nวาที\nวาน\nวานซืน\nว่าน\nวานร\nวานรินทร์\nวาเนเดียม\nวาบ\nวาปี\nวาม\nวามน\nวามนาวตาร\nวามะ\nวาย\nว่าย\nว้าย\nวายะ\nวาโย\nวายามะ\nวายุ\nวายุกูล\nวาร\nวาระ\nวารสาร\nวารสารศาสตร์\nวาริ\nวารี\nวาริช\nวารีช\nวาริท\nวาริธร\nวารุณ\nวารุณี\nวาล\nวาลวีชนี\nวาล์ว\nวาลิกา\nวาลุกา\nวาว\nว่าว\nว้าว่อน\nว้าวุ่น\nวาสนะ\nวาสนา\nวาสพ\nวาสะ\nวาสิน\nวาสี\nวาสุกรี\nวาสุกี\nวาสุเทพ\nวาหนะ\nวาหะ\nวาหินี\nวาฬ\nวิกขัมภ์\nวิกขัมภนะ\nวิกเขป\nวิกรม\nวิกรัย\nวิกรานต์\nวิกฤต\nวิกฤติ\nวิกล\nวิกสิต\nวิกัต\nวิกัติ\nวิกัติการก\nวิกัป\nวิกัย\nวิการ\nวิกาล\nวิกาลโภชน์\nวิคหะ\nวิเคราะห์\nวิฆเนศ\nวิฆเนศวร\nวิฆาต\nวิง\nวิ่ง\nวิ่งเปี้ยว\nวิงวอน\nวิจฉิกะ\nวิจล\nวิจักขณ์\nวิจักษ์\nวิจักษณ์\nวิจัย\nวิจาร\nวิจารณ์\nวิจารณญาณ\nวิจิ\nวิจิกิจฉา\nวิจิต\nวิจิตร\nวิจิน\nวิจุณ\nวิจุรณ\nวิชชา\nวิชชุ\nวิชชุดา\nวิชชุตา\nวิชชุลดา\nวิชญะ\nวิชน\nวิชนี\nวิชย\nวิชัย\nวิชา\nวิชานนะ\nวิชิต\nวิเชียร\nวิญญัตติ\nวิญญาณ\nวิญญาณกทรัพย์\nวิญญู\nวิฑูรย์\nวิด\nวิตก\nวิตถาร\nวิตามิน\nวิถี\nวิทธะ\nวิทยฐานะ\nวิทยา\nวิทยาคม\nวิทยาคาร\nวิทยาลัย\nวิทยุ\nวิทยุต\nวิทวัส\nวิทัตถิ\nวิทัศน์\nวิทารณ์\nวิทิต\nวิทู\nวิทูร\nวิเทศ\nวิเทโศบาย\nวิธ\nวิธวา\nวิธาน\nวิธี\nวิธุระ\nวิธู\nวิธูปนะ\nวิ่น\nวินตกะ\nวินัย\nวินาที\nวินายก\nวินาศ\nวินิจ\nวินิจฉัย\nวินิต\nวินิบาต\nวินิปาติก\nวิเนต\nวิบัติ\nวิบาก\nวิบุล\nวิบุลย์\nวิบูล\nวิบูลย์\nวิปการ\nวิปฏิสาร\nวิปโยค\nวิประโยค\nวิปริต\nวิปลาส\nวิปวาส\nวิปักษ์\nวิปัสสก\nวิปัสสนา\nวิปัสสนายานิก\nวิพากษ์\nวิพิธทัศนา\nวิพุธ\nวิภว\nวิภวตัณหา\nวิภังค์\nวิภัช\nวิภัตติ\nวิภา\nวิภาค\nวิภาช\nวิภาดา\nวิภาวี\nวิภาษ\nวิภาส\nวิภู\nวิภูษณะ\nวิภูษา\nวิภูษิต\nวิมน\nวิมล\nวิมลัก\nวิมังสา\nวิมัติ\nวิมาน\nวิมุข\nวิมุต\nวิมุตติ\nวิเมลือง\nวิโมกข์\nวิโยค\nวิระ\nวิรงรอง\nวิรังรอง\nวิรัช\nวิรัต\nวิรัติ\nวิราคะ\nวิราม\nวิริยภาพ\nวิริยะ\nวิรุธ\nวิรุฬห์\nวิรุฬหก\nวิรูป\nวิรูปักษ์\nวิเรนทร์\nวิโรจ\nวิโรจน์\nวิโรฒ\nวิโรธ\nวิลันดา\nวิลัย\nวิลาด\nวิลาศ\nวิลาป\nวิลาวัณย์\nวิลาส\nวิลาสินี\nวิลิปดา\nวิลิศมาหรา\nวิเลป\nวิเลปนะ\nวิโลกนะ\nวิโลม\nวิไล\nวิไลวรรณ\nวิวรณ์\nวิวรรธน์\nวิวัฏ\nวิวัฒน์\nวิวัฒนาการ\nวิวัน\nวิวาท\nวิวาห์\nวิวาหมงคล\nวิวาหะ\nวิวิต\nวิวิธ\nวิเวก\nวิศรุต\nวิศว\nวิศวกร\nวิศวกรรม\nวิศวกรรมศาสตร์\nวิศัลย์\nวิศาขบูชา\nวิศาขา\nวิศาล\nวิศิษฏ์\nวิศุทธ์\nวิศุทธิ์\nวิเศษ\nวิเศษณ์\nวิษณุ\nวิษณุกรรม\nวิษธร\nวิษัย\nวิษาณ\nวิษุวัต\nวิสกี้\nวิสรรชนีย์\nวิสฤต\nวิสสุกรรม\nวิสัชนา\nวิสัญญี\nวิสัย\nวิสัยทัศน์\nวิสาขบูชา\nวิสาขะ\nวิสาขา\nวิสามัญ\nวิสามานยนาม\nวิสาร\nวิสารทะ\nวิสาล\nวิสาสะ\nวิสาหกิจ\nวิสิฐ\nวิสุงคามสีมา\nวิสุทธ์\nวิสุทธิ์\nวิสูตร\nวิเสท\nวิหค\nวิหลั่น\nวิหาร\nวิหิงสา\nวิเหสา\nวิฬาร\nวิฬาร์\nวี\nวีจิ\nวีชนี\nวีณา\nวี้ด\nวีรกรรม\nวีรชน\nวีรบุรุษ\nวีรสตรี\nวี่วัน\nวี่แวว\nวีสะ\nวุ้ง\nวุฐิ\nวุฒ\nวุฒิ\nวุด\nวุ่น\nวุ้น\nวุบ\nวุ้ย\nวุลแฟรม\nวู้\nวูดวาด\nวูบ\nวู่วาม\nเว้\nเวค\nเวคิน\nเวคี\nเวจ\nเวช\nเวชยันต์\nเวฐน์\nเวณิ\nเวณิก\nเวณุ\nเวตน์\nเวตร\nเวตาล\nเวท\nเวทคู\nเวทนา\nเวทย์\nเวทัลละ\nเวทางค์\nเวทางคศาสตร์\nเวทานต์\nเวทานตะ\nเวทิ\nเวที\nเวธะ\nเวน\nเว้น\nเวนไตย\nเวไนย\nเวมัต\nเว้ย\nเวยยากรณะ\nเวร\nเวรมณี\nเวรี\nเวโรจน์\nเวลา\nเวเลนซี\nเวศม์\nเวศย์\nเวศยา\nเวสน์\nเวสภู\nเวสม์\nเวสวัณ\nเวสสะ\nเวสสันดร\nเวสสุกรรม\nเวสสุวัณ\nเวสารัช\nเวสิยา\nเวหน\nเวหะ\nเวหา\nเวหาส\nเวฬุ\nเวฬุริยะ\nเว่อ\nเว้า\nเวิก\nเวิ้ง\nเวี่ย\nเวียง\nเวียด\nเวียดนาม\nเวียน\nเวียร\nเวี่ยว\nแว้\nแวง\nแว้ง\nแวด\nแว้ด\nแวน\nแว่น\nแวนดา\nแวบ\nแว็บ\nแวม\nแว็ม\nแวว\nแว่ว\nแวะ\nโว\nโว่\nโวการ\nโว่ง\nโวทาน\nโวย\nโว้ย\nโว้เว้\nโวหาร\nไว\nไว้\nไวกูณฐ์\nไวฑูรย์\nไวทย์\nไวน์\nไวพจน์\nไวยากรณ์\nไวยาวัจกร\nไวยาวัจมัย\nไวรัส\nไววรรณ\nไวษณพ\nไวโอลิน\nศก\nศกุน\nศกุนต์\nศกุนิ\nศกุนี\nศจี\nศตะ\nศตภิษัช\nศตวรรษ\nศตพรรษ\nศตกะ\nศนิ\nศพ\nศมนะ\nศมะ\nศยาม\nศยามล\nศร\nศรายุธ\nศราวรณ์\nศรรกรา\nศรวณะ\nศรวณีย์\nศรวิษฐา\nศรัณย์\nศรัณยู\nศรัท\nศรัทธา\nศรัย\nศราทธ์\nศราทธพรต\nศราพก\nศราวก\nศราวณะ\nศรี\nศรีตรัง\nศรุติ\nศฤคาล\nศฤงค์\nศฤงคาร\nศฤงคาริน\nศฤงคารี\nศลิษฏ์\nศลิษา\nศวะ\nศวัส\nศวา\nศวาน\nศศะ\nศศธร\nศศพินทุ์\nศศลักษณ์\nศศิ\nศศิน\nศศี\nศศิขัณฑ์\nศศิธร\nศศิมณฑล\nศศิวิมล\nศอ\nศอก\nศักดา\nศักดิ\nศักดิ์\nศักดินา\nศักติ\nศักย\nศักยภาพ\nศักย์\nศักยะ\nศักร\nศักรินทร์\nศักเรนทร์\nศักราช\nศังกร\nศัตรู\nศันสนะ\nศันสนีย์\nศัพท์\nศัยยา\nศัล\nศัลย์\nศัลยกรรม\nศัลยแพทย์\nศัลยศาสตร์\nศัสดร\nศัสตร\nศัสตรศาสตร์\nศัสตรา\nศัสตราวุธ\nศากตะ\nศากย\nศากยะ\nศากยพุทธ\nศากยมุนี\nศาฎก\nศาณ\nศานต์\nศานติ\nศาป\nศารท\nศารทูล\nศาริกา\nศาล\nศาลา\nศาศวัต\nศาสดา\nศาสตร์\nศาสตรา\nศาสตราจารย์\nศาสนา\nศาสนกิจ\nศาสนจักร\nศาสนธรรม\nศาสนบุคคล\nศาสนพิธี\nศาสนวัตถุ\nศาสนศาสตร์\nศาสนสถาน\nศาสนสมบัติ\nศาสนิกชน\nศาสนีย์\nศาสนูปถัมภก\nศาสน์\nศิกษก\nศิการ\nศิขร\nศิขริน\nศิขรี\nศิขัณฑ์\nศิคาล\nศิงขร\nศิงขริน\nศิตะ\nศิถี\nศิพิระ\nศิระ\nศิรประภา\nศิราภรณ์\nศิโรรัตน์\nศิโรเวฐน์\nศิรา\nศิรามพุช\nศิโรราบ\nศิลป\nศิลป์\nศิลปะ\nศิลปกร\nศิลปกรรม\nศิลปกิจ\nศิลปวัตถุ\nศิลปวิทยา\nศิลปศาสตร์\nศิลปศึกษา\nศิลปหัตถกรรม\nศิลปิน\nศิลปี\nศิลา\nศิวะ\nศิวโมกข์\nศิวลึงค์\nศิวเวท\nศิวาลัย\nศิศีระ\nศิษฎิ\nศิษฏ์\nศิษย์\nศิษยานุศิษย์\nศีขร\nศีต\nศีตกาล\nศีรษะ\nศีล\nศึก\nศึกษา\nศึกษาธิการ\nศึกษานิเทศก์\nศุกร์\nศุกรวรรณ\nศุกรวาร\nศุกระ\nศุกล\nศุกลปักษ์\nศุจิ\nศุทธะ\nศุทธิ\nศุนะ\nศุนิ\nศุภกร\nศุภเคราะห์\nศุภนิมิต\nศุภมัสดุ\nศุภมาตรา\nศุภมาส\nศุภอักษร\nศุภางค์\nศูกร\nศุลกากร\nศุลการักษ์\nศุลี\nศุษิร\nศูทร\nศูนย์\nศูนยวาท\nศูละ\nศูลิน\nเศรณี\nเศรษฐ\nเศรษฐ์\nเศรษฐกิจ\nเศรษฐศาสตร์\nเศรษฐี\nเศร้า\nเศลษ\nเศวต\nเศวตร\nเศวตัมพร\nเศษ\nเศาจ\nเศาร์\nเศารยะ\nเศิก\nเศียร\nโศก\nโศกา\nโศกาดูร\nโศกาลัย\nโศกี\nโศจิ\nโศธนะ\nโศภน\nโศภะ\nโศภา\nโศภิต\nโศภิน\nโศภิษฐ์\nโศภี\nโศรดา\nโศรตร\nโศลก\nไศล\nไศวะ\nษมา\nษัฏ\nษัฑ\nษัณ\nษัษ\nษัษฐะ\nษัษฐี\nโษฑศัน\nสก\nสกวาที\nสกฏะ\nสกทาคามิผล\nสกิทาคามิผล\nสกทาคามิมรรค\nสกิทาคามิมรรค\nสกทาคามี\nสกิทาคามี\nสกนธ์\nสกปรก\nสกรณีย์\nสกรรจ์\nสกรรมกริยา\nสกล\nสกลมหาสังฆปริณายก\nสกัด\nสกา\nสกาว\nสกี\nสกุณ\nสกุณา\nสกุณี\nสกุน\nสกุนต์\nสกุล\nสเกต\nสแกนเดียม\nสขะ\nสง\nส่ง\nสงกร\nสงกรานต์\nสงกา\nสงค์\nสงคร\nสงคราม\nสงเคราะห์\nสงฆ์\nสงบ\nสงวน\nส่งสการ\nสงสัย\nสงสาร\nสงสารวัฏ\nสงัด\nสง่า\nสฐะ\nสณฑ์\nสด\nสดมภ์\nสดับ\nสดับปกรณ์\nสดำ\nสดุดี\nสตะ\nสตน\nสตภิสชะ\nสตรอนเชียม\nสตริกนิน\nสตรี\nสตัฟฟ์\nสตัมภ์\nสตางค์\nสติ\nสติปัฏฐาน\nสตี\nสตู\nสตูป\nสเต๊ก\nสถบดี\nสถล\nสถวีระ\nสถาน\nสถานะ\nสถานี\nสถาบัน\nสถาปนา\nสถาปนิก\nสถาปัตยกรรม\nสถาปัตยกรรมศาสตร์\nสถาปัตยเรขา\nสถาปัตยเวท\nสถาพร\nสถาวร\nสถิต\nสถิตยศาสตร์\nสถิติ\nสถิร\nสถีรวาท\nสถุล\nสถูป\nสทิง\nสทึง\nสทุม\nสธนะ\nสาธุสะ\nสน\nส้น\nสนทนา\nสนทรรศ\nสนทรรศน์\nสนเทศ\nสนเท่ห์\nสนธยา\nสนธิ\nสนน\nสนม\nสนวน\nสนอง\nสนอบ\nสนอม\nสนะ\nสนัด\nสนั่น\nสนับ\nสนับทึบ\nสนับสนุน\nสนาน\nสนาม\nสนายุ\nสนิกะ\nสนิท\nสนิธ\nสนิม\nสนุก\nสนุกเกอร์\nสนุข\nสนุต\nสนุ่น\nสบ\nสบง\nสบถ\nสบัน\nสบาย\nสบู่\nสไบ\nสปริง\nสปอร์\nสปาเกตตี\nสเปกตรัม\nสเปกโทรสโกป\nสไปริลลัม\nสพาบ\nสภา\nสภาพ\nสภาวการณ์\nสภาวะ\nสม\nสมการ\nสมจารี\nสมดุล\nสมมูล\nส้ม\nสมญา\nสมณะ\nสมณบริขาร\nสมณศักดิ์\nสมณสารูป\nสมเด็จ\nสมถะ\nสมถยานิก\nสมถวิปัสสนา\nสมนาคุณ\nสมบัติ\nสมบุกสมบัน\nสมบูรณ์\nสมบูรณาญาสิทธิราชย์\nสมประดี\nสมปฤดี\nสมปฤๅดี\nส้มป่อย\nสมปัก\nสมผุส\nสมพง\nสมพงศ์\nสมพล\nสมพัตสร\nสมพาส\nสมเพช\nสมโพธน์\nสมโพธิ\nสมภพ\nสมภาร\nสมโภค\nสมโภช\nสมมต\nสมมติ\nสมมุติ\nสมมาตร\nส้มมือ\nสมโมท\nสมโยค\nสมร\nสมรด\nสมรรถ\nสมรรถนะ\nสมรรถภาพ\nสมรส\nสมฤดี\nสมฤติ\nสมวายะ\nสมเสร็จ\nสมอ\nสมอง\nสมะ\nสมัคร\nสมังคี\nสมัช\nสมัชชา\nสมัญญา\nสมัต\nสมัน\nสมันต์\nสมัย\nสมา\nสมาคม\nสมาจาร\nสมาชิก\nสมาทาน\nสมาธิ\nสมาน\nสมานฉันท์\nสมาบัติ\nสมาพันธรัฐ\nสมาส\nสม่ำเสมอ\nสมิง\nสมิต\nสมิติ\nสมิทธ์\nสมิทธิ\nสมี\nสมุก\nสมุจจัย\nสมุจเฉท\nสมุฏฐาน\nสมุด\nสมุทร\nสมุทรโคดม\nสมุทัย\nสมุน\nสมุนไพร\nสมุลแว้ง\nสมุห\nสมุห์\nสมุหกลาโหม\nสมุหเทศาภิบาล\nสมุหนาม\nสมุหนายก\nสโมธาน\nสโมสร\nสยด\nสยนะ\nสยบ\nสยมพร\nสยมภู\nสยอง\nสยอน\nสยัมวรา\nสยาม\nสยามานุสติ\nสยามินทร์\nสยาย\nสยิว\nสยิ้ว\nสยุมพร\nสยุมภู\nสร\nสรง\nสร่ง\nสรณะ\nสรณคมน์\nสรณาคมน์\nสรณตรัย\nสรตะ\nสรทะ\nสรนุก\nสรเนาะ\nสรไน\nสรเพชญ\nสรภะ\nสรภัญญะ\nสรภู\nสรม\nสรร\nสรรค์\nสรรพ\nสรรพคุณ\nสรรพนาม\nสรรพสามิต\nสรรพัชญ\nสรรพากร\nสรรพางค์\nสรรเพชญ\nสรรเพชุดา\nสรรเสริญ\nสรลอน\nสรเลข\nสรวง\nสรวม\nสรวล\nสรเสริญ\nสร้อย\nสระ\nสระกอ\nสระท้อน\nสระพรั่ง\nสระอาด\nสรั่ง\nสรัสวดี\nสร่าง\nสร้าง\nสราญ\nสรี้\nสรีระ\nสรีรกิจ\nสรีรธาตุ\nสรีรวิทยา\nสรีรศาสตร์\nสรีรังคาร\nสรีรางคาร\nสรุป\nสโรช\nสโรชะ\nสฤก\nสฤต\nสฤษฎิ\nสฤษฎี\nสฤษฏ์\nสฤษดิ์\nสลด\nสลบ\nสลวน\nสลวย\nสลอด\nสลอน\nสลอย\nสละ\nสลัก\nสลัด\nสลัดได\nสลับ\nสลัว\nสลา\nสลาก\nสลาง\nสล้าง\nสลาด\nสลาตัน\nสลาบ\nสลาย\nสลิด\nสลิล\nสลึก\nสลึง\nสลุต\nสลุบ\nสลุมพร\nสแลง\nสวการย์\nสวภาพ\nสวราชย์\nสวก\nส้วง\nสวด\nสวน\nสวนะ\nสวนาการ\nส่วน\nสวนิต\nสวบ\nสวม\nส้วม\nสวย\nส่วย\nส้วย\nสวยม\nสวรรค\nสวรรค์\nสวรรคต\nสวรรคาลัย\nสวรรยา\nสวระ\nสวะ\nสวัสดิ\nสวัสดิ์\nสวัสดิการ\nสวัสดิภาพ\nสวัสดิมงคล\nสวัสดี\nสวัสติ\nสวาตี\nสวัสติกะ\nสวา\nสวาปาม\nสวาคตะ\nสวาง\nสว่าง\nสวาด\nสวาดิ\nสวาท\nสว่าน\nสว้าน\nสวาบ\nสวามิ\nสวามี\nสวามินี\nสวาย\nสวาสดิ์\nสวาหะ\nสวิง\nสวิญญาณกทรัพย์\nสวิตช์\nสสาร\nสสุระ\nสสุรี\nสหกรณ์\nสหการ\nสหจร\nสหชาต\nสหชาติ\nสหธรรม\nสหธรรมิก\nสหประชาชาติ\nสหพันธ์\nสหพันธรัฐ\nสหภาพ\nสหศึกษา\nสหัช\nสหัมบดี\nสหัส\nสหัสสะ\nสหัสธารา\nสหัสนัยน์\nสหัสเนตร\nสหัสรังสี\nสหัสา\nสหาย\nสอ\nส่อ\nสอง\nส่อง\nส้อง\nสอด\nสอน\nส่อน\nสอบ\nสอพลอ\nส้อม\nสอย\nสะ\nสะกด\nสะกอ\nสะกาง\nสะการะ\nสะกิด\nสะกิดสะเกา\nสะเก็ด\nสะแก\nสะคร้อ\nสะคราญ\nสะค้าน\nสะเงาะสะแงะ\nสะดม\nสะดวก\nสะดิ้ง\nสะดึง\nสะดือ\nสะดุ้ง\nสะดุด\nสะเด็ด\nสะเดา\nสะเดาะ\nสะตอ\nสะตาหมัน\nสะตึ\nสะตือ\nสะตุ\nสะเต๊ะ\nสะโตก\nสะทก\nสะท้อน\nสะท้าน\nสะทึก\nสะเทิน\nสะเทิ้น\nสะเทือน\nสะเทื้อน\nสะบะ\nสะบัก\nสะบักสะบอม\nสะบัด\nสะบัดสะบิ้ง\nสะบั้น\nสะบันงา\nสะบ้า\nสะบู\nสะแบง\nสะเปะสะปะ\nสะพรั่ง\nสะพรึงกลัว\nสะพรึบ\nสะพรึ่บ\nสะพัก\nสะพัง\nสะพัด\nสะพั้น\nสะพาน\nสะพาย\nสะเพร่า\nสะโพก\nสะเภา\nสะใภ้\nสะโมง\nสะระตะ\nสะระแหน่\nสะลาง\nสะลาบ\nสะลึมสะลือ\nสะวี้ดสะว้าด\nสะสม\nสะสวย\nสะสาง\nสะเหล่อ\nสะอาง\nสะอาด\nสะอ้าน\nสะอิ้ง\nสะอิดสะเอียน\nสะอึก\nสะอื้น\nสะเอ้ง\nสะเอว\nสะเออะ\nสะโอดสะอง\nสะไอ\nสัก\nสักกะ\nสักยะ\nสักกัจจะ\nสักกายทิฐิ\nสักการ\nสักการะ\nสักขี\nสักวา\nสักหลาด\nสัค\nสัคคะ\nสั่ง\nสังกร\nสังกรณี\nสังกรประโยค\nสังกะตัง\nสังกะวัง\nสังกะวาด\nสังกะสี\nสังกัด\nสังกัปปะ\nสังกา\nสังการ\nสังกาศ\nสังกิเลส\nสังเกต\nสังข์\nสังขกร\nสังขตธรรม\nสังขตะ\nสังขยา\nสังขลิก\nสังขลิกา\nสังขาร\nสังขารา\nสังเขป\nสังค์\nสังคญาติ\nสังคม\nสังคหะ\nสังคัง\nสังคายนา\nสังคายนาย\nสังคีต\nสังคีติ\nสังเค็ด\nสังเคราะห์\nสังฆกรรม\nสังฆการี\nสังฆเถระ\nสังฆทาน\nสังฆนายก\nสังฆปาโมกข์\nสังฆภัต\nสังฆเภท\nสังฆมณฑล\nสังฆมนตรี\nสังฆราช\nสังฆสภา\nสังฆาณัติ\nสังฆาฏิ\nสังฆาทิเสส\nสังฆาธิการ\nสังฆานุสติ\nสังฆาวาส\nสังยุตนิกาย\nสังโยค\nสังโยชน์\nสังวร\nสังวัจฉระ\nสังวัธยาย\nสังวาล\nสังวาส\nสังเวคะ\nสังเวช\nสังเวชนียสถาน\nสังเวย\nสังเวียน\nสังสกฤต\nสังสการ\nสังสนทนา\nสั่งสนทนา\nสังสรรค์\nสังสารวัฏ\nสังสิทธิ\nสังสุทธ์\nสังสุทธิ\nสังหร\nสังหรณ์\nสังหาร\nสังหาริมทรัพย์\nสังหาริมะ\nสังหิต\nสัจ\nสัจกิริยา\nสัจจะ\nสัจญาณ\nสัจธรรม\nสัจนิยม\nสัจพจน์\nสัชฌะ\nสัชฌุ\nสัญจร\nสัญเจตนา\nสัญชาตญาณ\nสัญชาติ\nสัญฌา\nสัญญา\nสัญญาณ\nสัญญี\nสัญโญชน์\nสัญนิยม\nสัญประกาศ\nสัญลักษณ์\nสัฐิ\nสัณฐาน\nสัณฐิติ\nสัณฑ์\nสัณห์\nสัด\nสัดจอง\nสัต\nสัตตะ\nสัตตาหกรณียะ\nสัตตาหกาลิก\nสัตมวาร\nสัตสดก\nสัตตบงกช\nสัตตบรรณ\nสัตตบุษย์\nสัตตู\nสัตถันดร\nสัตถา\nสัตถิ\nสัตถุ\nสัตถุศาสนา\nสัตบรรณ\nสัตย์\nสัตยพรต\nสัตยวาที\nสัตยาเคราะห์\nสัตยาธิษฐาน\nสัตยาบัน\nสัตว์\nสัตวชาติ\nสัตวบาล\nสัตวแพทย์\nสัตววิทยา\nสัตวา\nสัทธรรม\nสัทธา\nสัทธาจริต\nสัทธาธิกะ\nสัทธินทรีย์\nสัทธิงวิหาริก\nสัทธิวิหาริก\nสัทวิทยา\nสัทศาสตร์\nสัทอักษร\nสัน\nสั่น\nสั้น\nสันดาน\nสันดาป\nสันโดษ\nสันต์\nสันตติ\nสันตะปาปา\nสันตะวา\nสันติ\nสันตุฏฐี\nสันถวไมตรี\nสันถวะ\nสันถัต\nสันถาร\nสันทนะ\nสันทะ\nสันทัด\nสันทัสนะ\nสันทาน\nสันทิฐิก\nสันทิส\nสันเทหะ\nสันธาน\nสันนิธิ\nสันนิบาต\nสันนิวาส\nสันนิษฐาน\nสันสกฤต\nสับ\nสับปลับ\nสับปลี้\nสับปะรด\nสัปคับ\nสัปดาห์\nสัปดาหะ\nสัปดน\nสัปตศก\nสัปทน\nสัปปะ\nสัปปิ\nสัปปุริส\nสัปปุรุษ\nสัประยุทธ์\nสัปหงก\nสัปเหร่อ\nสัพ\nสัพพะ\nสัพพัญญู\nสัพเพเหระ\nสัพยอก\nสัมบูรณ์\nสัมปชัญญะ\nสัมปทา\nสัมปทาน\nสัมปยุต\nสัมปโยค\nสัมประสิทธิ์\nสัมประหาร\nสัมปรายภพ\nสัมปรายิกภพ\nสัมปัตติ\nสัมผัปลาป\nสัมผัปลาปะ\nสัมผัส\nสัมพล\nสัมพหุลา\nสัมพัจฉรฉินท์\nสัมพัตสร\nสัมพัทธ์\nสัมพันธ์\nสัมพันธน์\nสัมพันธภาพ\nสัมพันธมิตร\nสัมพันธไมตรี\nสัมพาหะ\nสัมพุทธ\nสัมพุทธะ\nสัมโพธิ\nสัมภวะ\nสัมภเวสี\nสัมภัต\nสัมภัตตะ\nสัมภาระ\nสัมภาษณ์\nสัมโภคกาย\nสัมมนา\nสัมมัปธาน\nสัมมา\nสัมโมทนียกถา\nสัมฤทธิ\nสัมฤทธิ์\nสัมฤทธิศก\nสัยน์\nสัลเลข\nสัสดี\nสัสตทิฐิ\nสัสสะ\nสัสสุ\nสัสสู\nสา\nส่า\nสาก\nสากรรจ์\nสากล\nสากัจฉา\nสากัลย์\nสากิยะ\nสาเก\nสาขา\nสาคร\nสาคเรศ\nสาคู\nสาง\nส้าง\nสาชล\nสาฎก\nสาฏิก\nสาณี\nสาด\nสาไถย\nสาทร\nสาทิส\nสาทุ\nสาโท\nสาธก\nสาธยะ\nสาธยาย\nสาธารณะ\nสาธารณชน\nสาธารณประโยชน์\nสาธารณภัย\nสาธารณรัฐ\nสาธารณสถาน\nสาธารณสมบัติ\nสาธารณสุข\nสาธารณูปการ\nสาธารณูปโภค\nสาธารณ์\nสาธิต\nสาธุ\nสาน\nส่าน\nสานุ\nสานู\nสานุศิษย์\nสาบ\nสาบสูญ\nสาบาน\nสาป\nสาปไตย\nสาม\nสามชุก\nสามเณร\nสามเณรี\nสามนต์\nสามนตราช\nสามยทรัพย์\nสามล\nสามหาว\nสามะ\nสามัคคี\nสามัญ\nสามัตถิยะ\nสามานย์\nสามานยนาม\nสามารถ\nสามิต\nสามินี\nสามิภักดิ์\nสามี\nสามีจิกรรม\nสาย\nส่าย\nส้าย\nสายชู\nสายัณห์\nสายาห์\nสาร\nสารคดี\nสารธรรม\nสารนิเทศ\nสารบบ\nสารบรรณ\nสารบัญ\nสารบาญ\nสารบาญชี\nสารประโยชน์\nสารสนเทศ\nสารทุกข์\nสารถี\nสารท\nสารพัด\nสารพัน\nสารพางค์\nสารภาพ\nสารภี\nสารวัตร\nสาระ\nสาระแน\nสาระพา\nสาระยำ\nสาระวารี\nสาระสะมา\nสารัตถประโยชน์\nสารัตถศึกษา\nสารัตถะ\nสารัทธ์\nสารัมภ์\nสาราณียกร\nสาราณียธรรม\nสาราณียะ\nสารานุกรม\nสารีริกธาตุ\nสารูป\nสาโรช\nสาละ\nสาละวน\nสาลิ\nสาลิกา\nสาลินี\nสาลี\nสาลี่\nสาลู\nสาโลหิต\nสาว\nสาวก\nสาวิกา\nสาวิตร\nสาวิตรี\nสาสน\nสาสน์\nสาส์น\nสาสนา\nสาสม\nสาหร่าย\nสาหรี\nส่าหรี\nสาหัส\nสาเหตุ\nสาแหรก\nสำ\nสำส่อน\nส่ำ\nสำคัญ\nสำซ่าง\nสำแดง\nสำทับ\nสำนวน\nสำนอง\nสำนัก\nสำนาน\nสำนึก\nสำนึง\nสำเนา\nสำเนียง\nสำบัด\nสำปะลอ\nสำปะหลัง\nสำปั้น\nสำปันนี\nสำเภา\nสำมะงา\nสำมะโน\nสำมะลอ\nสำมะเลเทเมา\nสำมะหา\nสำรด\nสำรวจ\nสำรวม\nสำรวย\nสำรวล\nสำรอก\nสำรอง\nสำรับ\nสำราก\nสำราญ\nสำริด\nสำเร็จ\nสำเรา\nสำเริง\nสำโรง\nสำลัก\nสำลาน\nสำลี\nสำแลง\nสำหรวด\nสำหรับ\nสำหา\nสำเหนียก\nสำเหร่\nสำออย\nสำอาง\nสิ\nสิกข์\nสิข\nสิกขมานา\nสิกขา\nสิขร\nสิขรี\nสิขเรศ\nสิขา\nสิขานล\nสิขี\nสิคาล\nสิง\nสิ่ง\nสิงขร\nสิงค์\nสิงคลิ้ง\nสิงคลี\nสิงคาร\nสิงคาล\nสิงคี\nสิงโต\nสิงห์\nสิงหนาท\nสิงหบัญชร\nสิงหรา\nสิงหราช\nสิงหาคม\nสิงหาสน์\nสิงหล\nสิญจน์\nสิตะ\nสิตางศุ์\nสิถิล\nสิทธ์\nสิทธัตถะ\nสิทธา\nสิทธาจารย์\nสิทธารถ\nสิทธิ\nสิทธิ์\nสิทธิการิยะ\nสิธยะ\nสิน\nสิ้น\nสินเทา\nสินธพ\nสินธุ\nสินธุ์\nสินธุระ\nสินธู\nสินเธาว์\nสินาด\nสินิทธ์\nสินี\nสิเนรุ\nสิเนหก\nสิเนหะ\nสิเนหา\nสิเน่หา\nสิบ\nสิปปะ\nสิมพลี\nสิระ\nสิโรดม\nสิโรตม์\nสิริ\nสิรี\nสิลา\nสิว\nสิ่ว\nสิวะ\nสิวาลัย\nสิวิกา\nสี\nสี่\nสี้\nสีกา\nสีกุน\nสีข้าง\nสีด\nสีดอ\nสีดา\nสีตลรัศมี\nสีตโลทก\nสีโตทก\nสีทันดร\nสีมันต์\nสีมา\nสีละมัน\nสีวิกา\nสีสอ\nสีสะ\nสีสา\nสีสุก\nสีเสียด\nสีห์\nสีหนาท\nสีหบัญชร\nสีหราช\nสีหไสยา\nสีหไสยาสน์\nสีหะ\nสึก\nสึง\nสืบ\nสื่อ\nสุ\nสุก\nสุกข์\nสุกร\nสุกรม\nสุกำศพ\nสุกียากี้\nสุข\nสุขา\nสุขาภิบาล\nสุขารมณ์\nสุขาวดี\nสุขิน\nสุขี\nสุขุม\nสุขุมาล\nสุโข\nสุคต\nสุคติ\nสุคนธ\nสุคนธ์\nสุคนธชาติ\nสุคนธรส\nสุคันธ์\nสุคันธรส\nสุงกะ\nสุงกากร\nสุงสิง\nสุงสุมาร\nสุจริต\nสุจหนี่\nสุจิ\nสุจิต\nสุจิตร\nสุชน\nสุชัมบดี\nสุชา\nสุชาดา\nสุญ\nสุญญากาศ\nสุญตา\nสุญนิยม\nสุณ\nสุณิสา\nสุด\nสุดา\nสุต\nสุตตนิบาต\nสุตตะ\nสุตตันตปิฎก\nสุตตันตะ\nสุติ\nสุทธ\nสุทธ์\nสุทธาวาส\nสุทธิ\nสุทรรศน์\nสุทัศน์\nสุธา\nสุธาโภชน์\nสุธารส\nสุธาสินี\nสุธาสี\nสุธี\nสุนทร\nสุนทรี\nสุนทรียภาพ\nสุนทรียศาสตร์\nสุนทรียะ\nสุนัข\nสุนันท์\nสุโนก\nสุบดี\nสุบรรณ\nสุบิน\nสุปรีดิ์\nสุปรีย์\nสุปาณี\nสุพพัต\nสุพรรณ\nสุพรรณบัฏ\nสุพรรณภาชน์\nสุพรรณราช\nสุพรรณศรี\nสุพรรณถัน\nสุพรรณิการ์\nสุภร\nสุภัค\nสุภา\nสุภาพ\nสุภาษิต\nสุม\nสุ่ม\nสุมทุม\nสุมน\nสุมนะ\nสุมนัส\nสุมนา\nสุ้มเสียง\nสุมะ\nสุมาลี\nสุเมธ\nสุเมรุ\nสุรคต\nสุรเชษฐ์\nสุรบดี\nสุรภาพ\nสุรโลก\nสุรสีหนาท\nสุรเสียง\nสุรงค์\nสุรังค์\nสุรภี\nสุรัติ\nสุรัสวดี\nสุรา\nสุรางค์จำเรียง\nสุรางคนา\nสุรางคนางค์\nสุรารักษ์\nสุราลัย\nสุรินทร์\nสุรินทราหู\nสุริยะ\nสุริยกันต์\nสุริยกานต์\nสุริยการ\nสุริยกาล\nสุริยคติ\nสุริยคราส\nสุริยมณฑล\nสุริยวงศ์\nสุริยง\nสุริยา\nสุริเยนทร์\nสุริเยศ\nสุริโย\nสุริยน\nสุริยัน\nสุริยุปราคา\nสุรีย์\nสุรุ่ยสุร่าย\nสุลต่าน\nสุวคนธ์\nสุวภาพ\nสุวรรณ\nสุวรรณภูมิ\nสุวะ\nสุวาน\nสุวินัย\nสุวิมล\nสุษิระ\nสุสาน\nสุหนัต\nสุหร่ง\nสุหร่าย\nสุหฤท\nสุหัท\nสุเหร่า\nสู\nสู่\nสู้\nสูง\nสูจิ\nสูจิบัตร\nสูญ\nสูด\nสูต\nสูตร\nสูติ\nสูติกรรม\nสูตินรีเวช\nสูติบัตร\nสูติแพทย์\nสูติศาสตร์\nสูท\nสูทกรรม\nสูทศาสตร์\nสูบ\nสูปะ\nสูร\nสูรย์\nสูรยกานต์\nสูริ\nสูสี\nเส\nเสก\nเสกขบุคคล\nเสกขะ\nเสขบุคคล\nเสขะ\nเส็ง\nเส้ง\nเส็งเคร็ง\nเสงี่ยม\nเสฏฐี\nเสณี\nเสด\nเสด็จ\nเสตุ\nเสถียร\nเสทะ\nเสโท\nเสน\nเส้น\nเสนง\nเสน่ง\nเสน่ห์\nเสนหา\nเสน่หา\nเสนอ\nเสนะ\nเสนา\nเสนาธิการ\nเสนาบดี\nเสน่า\nเสนากุฎ\nเสนางค์\nเสนางคนิกร\nเสนานี\nเสนาสนะ\nเสนาะ\nเสนี\nเสนีย์\nเสนียะ\nเสนียด\nเสบย\nเสบียง\nเสพ\nเสพย์\nเสเพล\nเสภา\nเสม็ด\nเสมหะ\nเสมอ\nเสมา\nเสมียน\nเสมือน\nเสย\nเสร็จ\nเสริด\nเสริม\nเสรี\nเสลด\nเสลบรรพต\nเสลา\nเสลี่ยง\nเสลือกสลน\nเสโล\nเสวก\nเสวกามาตย์\nเสวนะ\nเสวนา\nเสวย\nเสวียน\nเสสรวง\nเสสรวล\nเสา\nเส้า\nเสาร์\nเสารภย์\nเสารี\nเสาวคนธ์\nเสาวธาร\nเสาวภา\nเสาวภาคย์\nเสาวภาพ\nเสาวรภย์\nเสาวรส\nเสาวลักษณ์\nเสาวณิต\nเสาวนะ\nเสาวนา\nเสาวนีย์\nเสาหฤท\nเสาะ\nเสาะแสะ\nเสิร์จ\nเสิร์ฟ\nเสีย\nเสียง\nเสี่ยง\nเสียด\nเสี้ยน\nเสียบ\nเสียม\nเสี่ยม\nเสี้ยม\nเสียว\nเสี่ยว\nเสี้ยว\nเสือ\nเสื่อ\nเสื้อ\nเสือก\nเสื่อม\nแส\nแส่\nแส้\nแสก\nแสง\nแสด\nแสดง\nแสตมป์\nแสน\nแสนย์\nแสนยากร\nแสนยานุภาพ\nแสบ\nแสม\nแสยก\nแสยง\nแสยะ\nแสรก\nแสร้ง\nแสลง\nแสล้ม\nแสวง\nแสะ\nโสก\nโสกโดก\nโสกันต์\nโสโครก\nโสณฑ์\nโสณิ\nโสณี\nโสด\nโสดก\nโสดม\nโสดา\nโสดาบัน\nโสดาปัตติผล\nโสดาปัตติมรรค\nโสต\nโสตทัศนวัสดุ\nโสตทัศนอุปกรณ์\nโสตทัศนูปกรณ์\nโสตินทรีย์\nโสตถิ\nโสทก\nโสทร\nโสธก\nโสธนะ\nโสน\nโสภณ\nโสภา\nโสภี\nโสภิณี\nโสเภณี\nโสม\nโสมนัส\nโสมม\nโสมย์\nโสร่ง\nโสรจ\nโสรวาร\nโสโร\nโสวรรณ\nโสหุ้ย\nโสฬส\nใส\nใส่\nไส\nไส้\nไสย\nไสยา\nไสยาสน์\nไสร้\nไสว\nหก\nหกคะเมน\nหง\nหงก\nหงส์\nหงสบาท\nหงสรถ\nหงอ\nหงอก\nหง่อง\nหงองแหงง\nหงอด\nหงอน\nหง่อม\nหงอย\nหง่อย\nหงัก\nหงับ\nหง่าง\nหงาย\nหง่าว\nหงำ\nหงิก\nหงิง\nหงิม\nหงึก\nหงุงหงิง\nหงุดหงิด\nหงุบ\nหงุ่ย\nหญ้า\nหญ้าฝรั่น\nหญ้ายายเภา\nหญิง\nหญิบ\nหด\nหตะ\nหทัย\nหน\nหนวก\nหน่วง\nหนวด\nหน่วย\nหน่วยกิต\nหนอ\nหน่อ\nหนอก\nหนอง\nหนอน\nหนอนตายหยาก\nหน่อย\nหน็อยแน่\nหนัก\nหนัง\nหนังสติ๊ก\nหนังสือ\nหนั่น\nหนับ\nหนา\nหน้า\nหน่าง\nหนาด\nหนาน\nหนาม\nหน่าย\nหนาว\nหนำ\nหนำเลี้ยบ\nหนี\nหนี้\nหนีบ\nหนึก\nหนึ่ง\nหนึบ\nหนืด\nหนุ\nหนุน\nหนุบ\nหนุ่ม\nหนุ่ย\nหนู\nห่ม\nหมก\nหมด\nหม่น\nหมวก\nหมวด\nหมวน\nหมอ\nหม่อ\nหม้อ\nหมอก\nหมอง\nหม่อง\nหมอน\nหม่อน\nหมอบ\nหม่อม\nหมอย\nหม้อห้อม\nหมัก\nหมักหมม\nหมัด\nหมัน\nหมั่น\nหมั้น\nหมับ\nหมา\nหม่า\nหมาก\nหมากฮอส\nหมาง\nหมาด\nหมามุ่ย\nหมามุ้ย\nหมาย\nหม้าย\nหมาร่า\nหม่ำ\nหม้ำ\nหมิ่น\nหมี\nหมี่\nหมึก\nหมืน\nหมื่น\nหมุด\nหมุน\nหมุบ\nหมุบหมับ\nหมุบหมิบ\nหมุ่ย\nหมุยขาว\nหมู\nหมู่\nหมูหริ่ง\nหยก\nหย่ง\nหยด\nหยวก\nหยวบ\nหยอก\nหยอกเอิน\nหย็อกหย็อย\nหยอง\nหย็อง\nหย่อง\nหย็องกรอด\nหย็องแหย็ง\nหยอด\nหยอน\nหย่อน\nหย่อม\nหย็อมแหย็ม\nหย็อย\nหย่อย\nหยัก\nหยักไย่\nหยักเหยา\nหยัง\nหยั่ง\nหยังหยัง\nหยัด\nหยัน\nหยับ\nหยั่วเมือง\nหย่า\nหยากเยื่อ\nหยากไย่\nหยาด\nหยาบ\nหยาม\nหยาว\nหย้าว\nหยำเป\nหยำเหยอะ\nหยำแหยะ\nหยิก\nหยิ่ง\nหยิบ\nหยิม\nหยี\nหยี่\nหยุกหยิก\nหยุด\nหยุ่น\nหยุบ\nหยุมหยิม\nหยูกยา\nหโยดม\nหรคุณ\nหรณะ\nหรดาล\nหรดี\nหรรษ์\nหรรษา\nหรอ\nหรอก\nหร็อมแหร็ม\nหรอย\nหระ\nหรับ\nหรา\nหริ\nหริ่ง\nหริณะ\nหริต\nหริตกี\nหรีตกี\nหรี่\nหรีด\nหรือ\nหรุบ\nหรุบรู่\nหรุบหรู่\nหรุ่ม\nหรู\nหรูหรา\nหฤทัย\nหฤทย์\nหฤษฎ์\nหฤษฎี\nหฤหรรษ์\nหฤโหด\nหลง\nหลงใหล\nหลงจู๊\nหลด\nหลน\nหล่น\nหลบ\nหล่ม\nหลวง\nหลวม\nหลอ\nหล่อ\nหลอก\nหลอด\nหลอน\nหล็อน\nหล่อน\nหลอม\nหละ\nหละหลวม\nหลัก\nหลัง\nหลั่ง\nหลัด\nหลั่น\nหลับ\nหลัว\nหลา\nหล้า\nหลาก\nหลาน\nหลาบ\nหลาม\nหลาย\nหลาว\nหลิ่ง\nหลิท\nหลิน\nหลิม\nหลิว\nหลิ่ว\nหลี\nหลีก\nหลีโก\nหลีบ\nหลีฮื้อ\nหลืบ\nหลุกหลิก\nหลุด\nหลุน\nหลุบ\nหลุม\nหลุมพอ\nหลุมพี\nหลู่\nหวง\nห่วง\nห้วง\nหวด\nหวน\nห้วน\nหวย\nห้วย\nหวอ\nหวอด\nหวะ\nหวัง\nหวัด\nหวั่น\nหวันยิหวา\nหวัว\nหวัวร่อ\nหวัวเราะ\nหวา\nหว่า\nหว้า\nหวาก\nหว่าง\nหวาด\nหวาน\nหว่าน\nหวาม\nหวาย\nหวำ\nหวิด\nหวิว\nหวี\nหวี่\nหวีด\nหวือ\nหวุดหวิด\nหวูด\nหอ\nห่อ\nห้อ\nหอก\nหอง\nห้อง\nหอน\nห่อน\nหอบ\nหอม\nห้อม\nหอย\nห้อย\nหะ\nหะยี\nหะหาย\nหัก\nหัจญ์\nหัจญี\nหัช\nหัฏฐะ\nหัด\nหัต\nหัตถ์\nหัตถกรรม\nหัตถการ\nหัตถกิจ\nหัตถบาส\nหัตถพันธ์\nหัตถาภรณ์\nหัตถศาสตร์\nหัตถศิลป์\nหัตถศึกษา\nหัตถาจารย์\nหัตถินี\nหัตถี\nหัน\nหั่น\nหั้น\nหันตรา\nหับ\nหัย\nหัว\nหัวร่อ\nหัวเราะ\nหัส\nหัสดิน\nหัสดี\nหัสต์\nหัสตะ\nหา\nห่า\nห้า\nหาก\nหาง\nห่าง\nห้าง\nหาญ\nหาด\nห่าน\nหาบ\nหาม\nห่าม\nห้าม\nหาย\nหายใจ\nหายนะ\nหาร\nหารือ\nหาว\nห้าว\nหาสะ\nหำ\nห้ำ\nหิ้ง\nหิงคุ\nหิงสา\nหิงห้อย\nหิ่งห้อย\nหิ่งหาย\nหิด\nหิต\nหิตานุหิตประโยชน์\nหิน\nหิมพาน\nหิมพานต์\nหิมวัต\nหิมวันต์\nหิมวา\nหิมะ\nหิมาลัย\nหิรัญ\nหิรัญญิการ์\nหิรัญบัฏ\nหิรัณย์\nหิรัณยรัศมี\nหิริ\nหิว\nหิ้ว\nหี\nหีด\nหีนยาน\nหีบ\nหึ\nหึง\nหึ่ง\nหึงสา\nหืด\nหืน\nหื่น\nหือ\nหื้อ\nหุง\nหุน\nหุ่น\nหุ้น\nหุนหัน\nหุบ\nหุ้ม\nหุยฮา\nหู\nหู่\nหูก\nหูด\nเห\nเห่\nเหง\nเหง่ง\nเหงา\nเหง้า\nเหงื่อ\nเหงือก\nเห็จ\nเห็ด\nเหติ\nเหตุ\nเห็น\nเหน่ง\nเหนงนายพราน\nเหน็ดเหนื่อย\nเหน็บ\nเหน่อ\nเห็นอ้ม\nเหนอะ\nเหนอะหนะ\nเหน้า\nเหนาะ\nเหนียง\nเหนี่ยง\nเหนี่ยน\nเหนียม\nเหนียว\nเหนี่ยว\nเหนือ\nเหนื่อย\nเห็บ\nเหม\nเหม่\nเหม็ง\nเหม่ง\nเหม็น\nเหมวดี\nเหม่อ\nเหมันต์\nเหมันตฤดู\nเหมา\nเหมายัน\nเหมาะ\nเหมียว\nเหมี่ยว\nเหมือง\nเหมือด\nเหมือน\nเหมื่อย\nเหย\nเหยง\nเหย่อย\nเหยา\nเหย่า\nเหย้า\nเหยาะ\nเหยาะแหยะ\nเหยิง\nเหยิบ\nเหยียด\nเหยียบ\nเหยี่ยว\nเหยื่อ\nเหยือก\nเหรอ\nเหรอะ\nเหรัญญิก\nเหรา\nเหราะ\nเหรียญ\nเหล่\nเหล็ก\nเหลน\nเหลว\nเหลอ\nเหลา\nเหล่า\nเหล้า\nเหลาะแหละ\nเหลิง\nเหลิงเจิ้ง\nเหลียน\nเหลี่ยม\nเหลียว\nเหลือ\nเหลือก\nเหลือง\nเหลือบ\nเหลือม\nเหลื่อม\nเหว\nเหว่\nเหวง\nเหวย\nเหวอะ\nเหวอะหวะ\nเหวี่ยง\nเห่อ\nเหอะ\nเหะ\nเหะหะ\nเหา\nเห่า\nเหาะ\nเหิน\nเหิม\nเหี้ย\nเหียง\nเหียน\nเหี้ยน\nเหี้ยม\nเหี่ยว\nเหื่อ\nเหือด\nแห\nแห่\nแห้\nแหก\nแหง\nแหง่\nแห่ง\nแห้ง\nแหงแก๋\nแหง่ง\nแหงน\nแหน\nแห้น\nแหนง\nแหนบ\nแหนม\nแหบ\nแหม\nแหม่\nแหม่ม\nแหมะ\nแหย\nแหย่\nแหยง\nแหย่ง\nแหยม\nแหย็ม\nแหยะ\nแหล่\nแหลก\nแหล่ง\nแหลน\nแหลม\nแหละ\nแหว\nแห้ว\nแหวก\nแหว่ง\nแหวด\nแหวน\nแหวะ\nแหะ\nโห่\nโหง\nโหด\nโหน\nโหนก\nโหน่ง\nโหม\nโหม่ง\nโหมด\nโหย\nโหยกเหยก\nโหยง\nโหย่ง\nโหร\nโหรง\nโหรงเหรง\nโหรดาจารย์\nโหระพา\nโหรา\nโหราจารย์\nโหราศาสตร์\nโหล\nโหล่\nโหลงโจ้ง\nโหว\nโหว่\nโหว้\nโหวกเหวก\nโหวง\nโหวด\nโหวต\nให้\nใหญ่\nใหม่\nไห\nไห่\nไห้\nไหน\nไหม\nไหม้\nไหรณย์\nไหล\nไหล่\nไหว\nไหว้\nไหหลำ\nอก\nอกตเวทิตา\nอกตเวที\nอกตัญญุตา\nอกตัญญู\nอกนิษฐ์\nอกรณีย์\nอกรรมกริยา\nอกัปปิยวัตถุ\nอกัปปิยะ\nอกุศล\nอคติ\nอคาธ\nอโฆษะ\nองก์\nองค์\nองคชาต\nองคมนตรี\nองครักษ์\nองคาพยพ\nองคุลี\nองศ์\nองศา\nองอาจ\nองุ่น\nอจลา\nอจินตา\nอจินไตย\nอจิระ\nอเจลก\nอเจละ\nอชะ\nอชิน\nอชินี\nอชิระ\nอฏวี\nอณิ\nอณู\nอโณทัย\nอด\nอดิถี\nอดิเทพ\nอดิเรก\nอดิศร\nอดิศวร\nอดิศัย\nอดีต\nอดุล\nอดุลย์\nอติ\nอติชาต\nอติมานะ\nอติราช\nอติเรก\nอติสาร\nอถรรพเวท\nอาถรรพเวท\nอทระ\nอทินนาทาน\nอธรรม\nอธิ\nอธิกมาส\nอธิกรณ์\nอธิกวาร\nอธิกสุรทิน\nอธิการ\nอธิคม\nอธิฏฐาน\nอธิบดี\nอธิบาย\nอธิป\nอธิปไตย\nอธิมาตร\nอธิมุตติ\nอธิโมกข์\nอธิราช\nอธิวาส\nอธิวาสนะ\nอธิศีล\nอธิษฐาน\nอธึก\nอ้น\nอนงค์\nอนงคณะ\nอนงคเลขา\nอนธการ\nอนนต์\nอนยะ\nอนรรฆ\nอนรรถ\nอนล\nอนวัช\nอนัญ\nอนัตตา\nอนันต์\nอนันตริยกรรม\nอนัม\nอนาคต\nอนาคามิผล\nอนาคามิมรรค\nอนาคามี\nอนาจาร\nอนาถ\nอนาถา\nอนาทร\nอนาธิปไตย\nอนามัย\nอนามิกา\nอนารยชน\nอนารยธรรม\nอนารยะ\nอนาลัย\nอนำ\nอนิจ\nอนิจจัง\nอนิจจา\nอนิฏฐารมณ์\nอนิยต\nอนิยม\nอนิล\nอนิวรรต\nอนิวรรตน์\nอนีกะ\nอนีจะ\nอนึก\nอนึ่ง\nอนุ\nอนุกร\nอนุกรม\nอนุกรรมการ\nอนุกระเบียด\nอนุกาชาด\nอนุการ\nอนุกูล\nอนุคามิก\nอนุเคราะห์\nอนุจร\nอนุช\nอนุชน\nอนุชา\nอนุชาต\nอนุชิต\nอนุญาต\nอนุญาโตตุลาการ\nอนุตร\nอนุเถระ\nอนุทิน\nอนุบท\nอนุบาล\nอนุประโยค\nอนุปริญญา\nอนุปสัมบัน\nอนุปัสนา\nอนุพงศ์\nอนุพัทธ์\nอนุพันธ์\nอนุโพธ\nอนุภรรยา\nอนุภริยา\nอนุภาค\nอนุภาษ\nอนุมัติ\nอนุมาตรา\nอนุมาน\nอนุมูล\nอนุโมทนา\nอนุโยค\nอนุรักษ์\nอนุรักษนิยม\nอนุราช\nอนุราธ\nอนุราธะ\nอนุราธา\nอนุรูป\nอนุโลม\nอนุวงศ์\nอนุวรรตน์\nอนุวัต\nอนุวัตน์\nอนุวัตร\nอนุวัติ\nอนุวาต\nอนุศาสก\nอนุศาสน์\nอนุศาสนาจารย์\nอนุศิษฏ์\nอนุสติ\nอนุสนธิ\nอนุสร\nอนุสรณ์\nอนุสัญญา\nอนุสัย\nอนุสาวรีย์\nอนุสาสนี\nอเนก\nอเนกคุณ\nอเนกรรถประโยค\nอเนจอนาถ\nอโนชา\nอโนดาต\nอบ\nอบเชย\nอบาย\nอปจายนธรรม\nอปจายนมัย\nอปมงคล\nอปยศ\nอประไมย\nอปรัณณชาติ\nอปรา\nอปราชัย\nอปราชิต\nอปริมาณ\nอปลักษณ์\nอปโลกน์\nอปวาท\nอเปหิ\nอพพะ\nอพยพ\nอภัพ\nอภัย\nอภิ\nอภิฆาต\nอภิชฌา\nอภิชน\nอภิชนาธิปไตย\nอภิชัย\nอภิชาต\nอภิชิต\nอภิญญา\nอภิญญาณ\nอภิธรรม\nอภิธาน\nอภิไธย\nอภินันท์\nอภินันทนาการ\nอภินัย\nอภินิหาร\nอภิเนษกรมณ์\nอภิบาล\nอภิปรัชญา\nอภิปราย\nอภิมหาอำนาจ\nอภิมานะ\nอภิมุข\nอภิรดี\nอภิรติ\nอภิรมย์\nอภิรักษ์\nอภิราม\nอภิรุต\nอภิรุม\nอภิรูป\nอภิลักขิต\nอภิลักขิตสมัย\nอภิเลปน์\nอภิวันท์\nอภิวาท\nอภิวาทน์\nอภิเษก\nอภิสมโพธิ\nอภิสมัย\nอภิสมาจาร\nอภิสัมโพธิ\nอภิสัมโพธิญาณ\nอภิสิต\nอภิสิทธิ์\nอภูตะ\nอม\nอมพะนำ\nอ้ม\nอมตธรรม\nอมตบท\nอมตะ\nอมนุษย์\nอมร\nอมรา\nอมราวดี\nอมรินทร์\nอมเรนทร์\nอมเรศ\nอมฤต\nอมัตร\nอมาตย์\nอมาวสี\nอมาวสุ\nอมาวาสี\nอมิตร\nอเมริกัน\nอย่า\nอยาก\nอย่าง\nอยุทธ์\nอยู่\nอร\nอรชร\nอรชุน\nอรดี\nอรติ\nอรทัย\nอรไท\nอรนุช\nอรพินท์\nอรพิม\nอรรค\nอรรฆ\nอรรฆย์\nอรรจน์\nอรรณพ\nอรรถ\nอรรถกถา\nอรรถกถาจารย์\nอรรถาธิบาย\nอรรธ\nอรสุม\nอรหะ\nอรหัง\nอรหัต\nอรหัตผล\nอรหัตมรรค\nอรหัน\nอรหันต์\nอรหันตฆาต\nอร่อย\nอรัญ\nอรัญญิก\nอรัญวาส\nอรัญวาสี\nอรัณย์\nอราดี\nอร่าม\nอริ\nอรินทร์\nอริน\nอริยกะ\nอริยทรัพย์\nอริยบุคคล\nอริยผล\nอริยมรรค\nอริยสั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nอำพล\nอำพะนำ\nอำพัน\nอำไพ\nอำเภอ\nอำมร\nอำมฤคโชค\nอำมฤต\nอำมหิต\nอำมาตย์\nอำมาตยาธิปไตย\nอำยวน\nอำรุง\nอำลา\nอำอวม\nอ้ำอึ้ง\nอิก\nอิง\nอิงค์\nอิงอร\nอิจฉา\nอิฉัน\nอิชยา\nอิฏฐารมณ์\nอิฐ\nอิฐผล\nอิด\nอิตถี\nอิตเทรียม\nอิตเทอร์เบียม\nอิติวุตตกะ\nอิทธิ\nอิน\nอินซูลิน\nอินเดีย\nอินเดียนแดง\nอินเดียม\nอินท์\nอินทขีล\nอินทนิล\nอินทผลัม\nอินทร์\nอินทรธนู\nอินทรวงศ์\nอินทรวิเชียร\nอินทรศักดิ์\nอินทราณี\nอินทราภิเษก\nอินทรายุธ\nอินทรี\nอินทรีย์\nอินทรียสังวร\nอินทีวร\nอินทุ\nอินฟราเรด\nอินัง\nอิ่ม\nอิมัลชัน\nอิริเดียม\nอิริยา\nอิริยาบถ\nอิรุพเพท\nอิเล็กตรอน\nอิเล็กทรอนิกส์\nอิเล็กโทน\nอิศร\nอิศวร\nอิษฏ์\nอิษฏี\nอิส\nอิสตรี\nอิสัตรี\nอิสรภาพ\nอิสระ\nอิสริยยศ\nอิสริยะ\nอิสริยาภรณ์\nอิสลาม\nอิสสา\nอิสิ\nอิสี\nอิหม่าม\nอิหลักอิเหลื่อ\nอี\nอี่\nอี้\nอี๊\nอี๋\nอี๋อ๋อ\nอีก\nอีก้อ\nอีก๋อย\nอีโก้ง\nอีจู้\nอี๊ด\nอีเต้อ\nอีโต้\nอีทุบ\nอีเทอร์\nอีนุงตุงนัง\nอีนูน\nอีโน\nอีแปะ\nอีโปง\nอีเพา\nอีมู\nอีรม\nอีลุ้ม\nอีลุ่ยฉุยแฉก\nอีเลิ้ง\nอีศ\nอีศวร\nอีส\nอีสาน\nอีสุกอีใส\nอีหรอบ\nอีหลักอีเหลื่อ\nอีหลี\nอีหลุกขลุกขลัก\nอีหลุกขลุกขลุ่ย\nอีเห็น\nอีเหน็บ\nอีเหนียว\nอีเหละเขละขละ\nอีเหละเขะขะ\nอีโหน่อีเหน่\nอีโหลกโขลกเขลก\nอีแอ่น\nอึ\nอึก\nอึ้ก\nอึ๊ก\nอึกทึก\nอึกอัก\nอึง\nอึ่ง\nอึ้ง\nอึด\nอึดตะปือ\nอึ้ดทึ่ด\nอึน\nอืด\nอื่น\nอื้น\nอือ\nอื้อ\nอื้อฮือ\nอุ\nอุก\nอุกกา\nอุกกาบาต\nอุกฤษฏ์\nอุกลาบาต\nอุค\nอุคระ\nอุคหนิมิต\nอุโฆษ\nอุ้ง\nอุจ\nอุจจาระ\nอุจฉุ\nอุจเฉท\nอุจเฉททิฐิ\nอุจาด\nอุชุ\nอุฏฐาการ\nอุณหภูมิ\nอุณหะ\nอุณหาหาร\nอุณหิส\nอุณา\nอุณาโลม\nอุด\nอุดเตา\nอุดม\nอุดมการณ์\nอุดมคติ\nอุดมศึกษา\nอุดร\nอุดหนุน\nอุตดม\nอุตตมะ\nอุตมภาพ\nอุตมางค์\nอุตดร\nอุตรกุรุทวีป\nอุตตรายัน\nอุตรนิกาย\nอุตรผลคุนี\nอุตตรผลคุนี\nอุตรภัทรบท\nอุตตรภัทรบท\nอุตตรภัททะ\nอุตราภิมุข\nอุตราวรรต\nอุตราวัฏ\nอุตราษาฒ\nอุตตราสาฬหะ\nอุตราสงค์\nอุตตานภาพ\nอุตพิด\nอุตรา\nอุตริ\nอุตริมนุสธรรม\nอุตลุด\nอุตส่าห์\nอุตสาหกรรม\nอุตสาหะ\nอุตุ\nอุตุนิยม\nอุตุนิยมวิทยา\nอุทก\nอุทกธาร\nอุทกธารา\nอุทกภัย\nอุทกวิทยา\nอุทกศาสตร์\nอุทธรณ์\nอุทธัจ\nอุทยาน\nอุทร\nอุทริยะ\nอุทลุม\nอุทัช\nอุทัย\nอุทาน\nอุทาร\nอุทาหรณ์\nอุทิศ\nอุทุมพร\nอุเทศ\nอุเทสิกเจดีย์\nอุธัจ\nอุ่น\nอุบ\nอุบล\nอุบะ\nอุบ๊ะ\nอุบัติ\nอุบาท\nอุบาทว์\nอุบาย\nอุบาสก\nอุบาสิกา\nอุเบกขา\nอุโบสถ\nอุปกรณ์\nอุปกรม\nอุปการ\nอุปการะ\nอุปการี\nอุปกิเลส\nอุปจาร\nอุปถัมภ์\nอุปถัมภก\nอุปทม\nอุปทูต\nอุปเทศ\nอุปเท่ห์\nอุปธิ\nอุปนัย\nอุปนิกขิต\nอุปนิษัท\nอุปนิสัย\nอุปบัติ\nอุปปาติกะ\nอุปพัทธ์\nอุปพันธ์\nอุปโภค\nอุปมา\nอุปมาน\nอุปไมย\nอุปยุวราช\nอุปรากร\nอุปราคา\nอุปราช\nอุปริ\nอุปริมปริยาย\nอุปโลกน์\nอุปเวท\nอุปสมบท\nอุปสมบัน\nอุปสัมบัน\nอุปสรรค\nอุปสัมปทา\nอุปฮาด\nอุปัชฌาย์\nอุปัชฌายวัตร\nอุปัชฌายะ\nอุปัฏฐาก\nอุปัฏฐานะ\nอุปัทวะ\nอุปัทวันตราย\nอุปาทาน\nอุปาหนา\nอุภัย\nอุ้ม\nอุมงค์\nอุโมงค์\nอุย\nอุ่ย\nอุ้ย\nอุ๊ย\nอุยยาน\nอุยยาม\nอุรณะ\nอุรพี\nอุระ\nอุรังอุตัง\nอุรัจฉัท\nอุรัจฉทะ\nอุรา\nอุรุ\nอุไร\nอุลกมณี\nอุลโลจ\nอุลามก\nอุลิด\nอุโลก\nอุแว้\nอุษณกร\nอุษณกาล\nอุษณรัศมี\nอุษณรุจี\nอุษณาการ\nอุษณีษ์\nอุษมะ\nอุษมัน\nอุษา\nอุษาโยค\nอุสภ\nอุสส่าห์\nอุสสาหะ\nอุสา\nอุสุ\nอุสุภ\nอุสุภราช\nอุสุม\nอุหรับ\nอุหลบ\nอุเหม่\nอุฬาร\nอู\nอู่\nอู้\nอูฐ\nอูด\nอูม\nอูย\nอูรุ\nอู๋อี๋\nเอ\nเอ้\nเอ๊\nเอก\nเอกเขนก\nเอกซเรย์\nเอกรรถประโยค\nเอกัคตา\nเอกังสพยากรณ์\nเอกังสวาที\nเอกา\nเอ้กา\nเอกาธิปไตย\nเอเคอร์\nเอง\nเอ็ง\nเอ๋ง\nเอ็ด\nเอ็ดตะโร\nเอดส์\nเอตทัคคะ\nเอ้เต\nเอทิล\nเอน\nเอ็น\nเอนไซม์\nเอ็นดู\nเอ็นอ่อน\nเอม\nเอ็มบริโอ\nเอย\nเอ่ย\nเอ๊ย\nเอ๋ย\nเอร็ดอร่อย\nเอราวัณ\nเอว\nเอ๊ว\nเอวัง\nเอฬกะ\nเอฬา\nเออ\nเอ่อ\nเออร์เบียม\nเอ้อระเหย\nเอ้อเร้อ\nเอ้อเฮอ\nเอ๊ะ\nเอะใจ\nเอะอะ\nเอะอะมะเทิ่ง\nเอา\nเอาทาร\nเอาทารย์\nเอารส\nเอาฬาร\nเอาะลาย\nเอิก\nเอิกเกริก\nเอิ้น\nเอิบ\nเอียง\nเอี้ยง\nเอียด\nเอี๊ยด\nเอียน\nเอี่ยน\nเอี่ยม\nเอี๊ยม\nเอี้ยมจุ๊น\nเอี้ยมเฟี้ยม\nเอี่ยว\nเอี้ยว\nเอื้อ\nเอื๊อก\nเอื้อง\nเอือด\nเอือน\nเอื้อน\nเอือม\nเอื้อม\nเอื่อย\nเอื้อย\nแอ\nแอ้\nแอ๋\nแอก\nแอกทิเนียม\nแอ่ง\nแอ้งแม้ง\nแอด\nแอ้ด\nแอ๊ด\nแอ่น\nแอนติเจน\nแอนติบอดี\nแอนติอิเล็กตรอน\nแอโนด\nแอบ\nแอม\nแอ้ม\nแอมแปร์\nแอมมิเตอร์\nแอมโมเนีย\nแอร่ม\nแอลกอฮอล์\nแอลฟา\nแอว\nแอ่ว\nแอ้วแซ่ว\nแอสทาทีน\nแอสไพริน\nแอสฟัลต์\nแอหนัง\nแออัด\nโอ\nโอ่\nโอ้\nโอ๋\nโอก\nโอ้ก\nโอ้กอ้าก\nโอ๊ก\nโอกาส\nโอฆชล\nโอฆสงสาร\nโอฆะ\nโอ่ง\nโองการ\nโองโขดง\nโอชะ\nโอชา\nโอโซน\nโอฐ\nโอด\nโอ๊ต\nโอตตัปปะ\nโอทนะ\nโอน\nโอบ\nโอปปาติกะ\nโอภา\nโอภาส\nโอม\nโอย\nโอ๊ย\nโอรส\nโอละพ่อ\nโอลิมปิก\nโอวาท\nโอษฐ์\nโอษฐชะ\nโอษฐภัย\nโอสถ\nโอห์ม\nโอหัง\nโอฬาร\nโอฬาริก\nโอฬารึก\nโอ้เอ้\nโอเอซิส\nโอ้โฮ\nไอ\nไอ้\nไอโซโทป\nไอน์สไตเนียม\nไอยรา\nไอยเรศ\nไอราพต\nไอราวัณ\nไอราวัต\nไอศกรีม\nไอศวรรย์\nไอศุริยสมบัติ\nไอศูรย์\nไอออน\nไอโอดีน\nฮกเกี้ยน\nฮด\nฮวงซุ้ย\nฮวน\nฮ้วนหมู\nฮวบ\nฮ่อ\nฮ้อ\nฮอกกี้\nฮอด\nฮ่อม\nฮ่อยจ๊อ\nฮอร์โมน\nฮอลแลนด์\nฮอลันดา\nฮะ\nฮะเบส\nฮะเรีย\nฮัก\nฮังเล\nฮัจญ์\nฮัจญะฮ์\nฮัจญี\nฮั่น\nฮั้ว\nฮา\nฮ้า\nฮ่างหลวง\nฮาจญ์\nฮาม\nฮาเร็ม\nฮาห์เนียม\nฮิจเราะห์\nฮินดู\nฮิปโปโปเตมัส\nฮิสทีเรีย\nฮีเลียม\nฮึ\nฮึก\nฮึด\nฮึดฮัด\nฮึ่ม\nฮึย\nฮึ่ย\nฮืดฮาด\nฮือ\nฮื่อ\nฮื้อ\nฮื้อฉี่\nฮุด\nฮุบ\nฮุยเลฮุย\nฮู้\nฮูก\nฮูม\nเฮ\nเฮฮา\nเฮกตาร์\nเฮกโตกรัม\nเฮกโตเมตร\nเฮกโตลิตร\nเฮง\nเฮ็ด\nเฮโมโกลบิน\nเฮย\nเฮ่ย\nเฮ้ย\nเฮโรอีน\nเฮลิคอปเตอร์\nเฮโล\nเฮละโล\nเฮ้ว\nเฮอ\nเฮ่อ\nเฮ้อ\nเฮอริเคน\nเฮิรตซ์\nเฮี้ยน\nเฮี้ยบ\nเฮี้ยว\nเฮือก\nเฮือน\nแฮ\nแฮ่\nแฮก\nแฮ่กึ๊น\nแฮนด์บอล\nแฮฟเนียม\nแฮม\nแฮะ\nโฮ\nโฮก\nโฮ่ง\nโฮ้ง\nโฮเต็ล\nโฮลเมียม\nโฮะ\nไฮ้\nไฮโกรมิเตอร์\nไฮดรา\nไฮโดร\nไฮโดรคาร์บอน\nไฮโดรเจน\nไฮโดรมิเตอร์\nไฮไฟ\nไฮโล\nไฮฮี\n"
-              .split(/[\r\n]+/)
-              .filter(function (w) {
-                return w.length > 1;
-              })
-      this.addWords(words, false)
-    }
-    if(finalize){
-      this.finalizeDict();
-    }
-  },
-
-  dictSeek: function (l, r, ch, strOffset, pos) {
-    var ans = null;
-    while (l <= r) {
-      var m = Math.floor((l + r) / 2),
-        dict_item = this.dict[m],
-        len = dict_item.length;
-      if (len <= strOffset) {
-        l = m + 1;
-      } else {
-        var ch_ = dict_item[strOffset];
-        if (ch_ < ch) {
-          l = m + 1;
-        } else if (ch_ > ch) {
-          r = m - 1;
-        } else {
-          ans = m;
-          if (pos == LEFT) {
-            r = m - 1;
-          } else {
-            l = m + 1;
-          }
-        }
-      }
-    }
-    return ans;
-  },
-
-  isFinal: function (acceptor) {
-    return this.dict[acceptor.l].length == acceptor.strOffset;
-  },
-
-  createAcceptor: function () {
-    return {
-      l: 0,
-      r: this.dict.length - 1,
-      strOffset: 0,
-      isFinal: false,
-      dict: this,
-      transit: function (ch) {
-        return this.dict.transit(this, ch);
-      },
-      isError: false,
-      tag: "DICT",
-      w: 1,
-      type: "DICT"
-    };
-  },
-
-  transit: function (acceptor, ch) {
-    var l = this.dictSeek(acceptor.l,
-      acceptor.r,
-      ch,
-      acceptor.strOffset,
-      LEFT);
-    if (l !== null) {
-      var r = this.dictSeek(l,
-        acceptor.r,
-        ch,
-        acceptor.strOffset,
-        RIGHT);
-      acceptor.l = l;
-      acceptor.r = r;
-      acceptor.strOffset++;
-      acceptor.isFinal = this.isFinal(acceptor);
-    } else {
-      acceptor.isError = true;
-    }
-    return acceptor;
-  },
-
-  sortuniq: function(a){
-    return a.sort().filter(function(item, pos, arr){
-      return !pos || item != arr[pos - 1];
-    })
-  },
-
-  flatten: function(a){
-    //[[1,2],[3]] -> [1,2,3]
-    return [].concat.apply([], a);
-  }
-};
-module.exports = WordcutDict;
-
-}).call(this,"/dist/tmp")
-},{"glob":16,"path":22}],3:[function(require,module,exports){
-var WordRule = {
-  createAcceptor: function(tag) {
-    if (tag["WORD_RULE"])
-      return null;
-
-    return {strOffset: 0,
-            isFinal: false,
-            transit: function(ch) {
-              var lch = ch.toLowerCase();
-              if (lch >= "a" && lch <= "z") {
-                this.isFinal = true;
-                this.strOffset++;
-              } else {
-                this.isError = true;
-              }
-              return this;
-            },
-            isError: false,
-            tag: "WORD_RULE",
-            type: "WORD_RULE",
-            w: 1};
-  }
-};
-
-var NumberRule = {
-  createAcceptor: function(tag) {
-    if (tag["NUMBER_RULE"])
-      return null;
-
-    return {strOffset: 0,
-            isFinal: false,
-            transit: function(ch) {
-              if (ch >= "0" && ch <= "9") {
-                this.isFinal = true;
-                this.strOffset++;
-              } else {
-                this.isError = true;
-              }
-              return this;
-            },
-            isError: false,
-            tag: "NUMBER_RULE",
-            type: "NUMBER_RULE",
-            w: 1};
-  }
-};
-
-var SpaceRule = {
-  tag: "SPACE_RULE",
-  createAcceptor: function(tag) {
-
-    if (tag["SPACE_RULE"])
-      return null;
-
-    return {strOffset: 0,
-            isFinal: false,
-            transit: function(ch) {
-              if (ch == " " || ch == "\t" || ch == "\r" || ch == "\n" ||
-                  ch == "\u00A0" || ch=="\u2003"//nbsp and emsp
-                 ) {
-                this.isFinal = true;
-                this.strOffset++;
-              } else {
-                this.isError = true;
-              }
-              return this;
-            },
-            isError: false,
-            tag: SpaceRule.tag,
-            w: 1,
-            type: "SPACE_RULE"};
-  }
-}
-
-var SingleSymbolRule = {
-  tag: "SINSYM",
-  createAcceptor: function(tag) {
-    return {strOffset: 0,
-            isFinal: false,
-            transit: function(ch) {
-              if (this.strOffset == 0 && ch.match(/^[\@\(\)\/\,\-\."`]$/)) {
-                this.isFinal = true;
-                this.strOffset++;
-              } else {
-                this.isError = true;
-              }
-              return this;
-            },
-            isError: false,
-            tag: "SINSYM",
-            w: 1,
-            type: "SINSYM"};
-  }
-}
-
-
-var LatinRules = [WordRule, SpaceRule, SingleSymbolRule, NumberRule];
-
-module.exports = LatinRules;
-
-},{}],4:[function(require,module,exports){
-var _ = require("underscore")
-  , WordcutCore = require("./wordcut_core");
-var PathInfoBuilder = {
-
-  /*
-    buildByPartAcceptors: function(path, acceptors, i) {
-    var 
-    var genInfos = partAcceptors.reduce(function(genInfos, acceptor) {
-      
-    }, []);
-    
-    return genInfos;
-  } 
-  */
-
-  buildByAcceptors: function(path, finalAcceptors, i) {
-    var self = this;
-    var infos = finalAcceptors.map(function(acceptor) {
-      var p = i - acceptor.strOffset + 1
-        , _info = path[p];            
-      
-      var info = {p: p, 
-                  mw: _info.mw + (acceptor.mw === undefined ? 0 : acceptor.mw),
-                  w: acceptor.w + _info.w,
-                  unk: (acceptor.unk ? acceptor.unk : 0) + _info.unk, 
-                  type: acceptor.type};
-
-      if (acceptor.type == "PART") {
-        for(var j = p + 1; j <= i; j++) {
-          path[j].merge = p;
-        }
-        info.merge = p;
-      }
-
-      return info;
-    });
-    return infos.filter(function(info) { return info; });
-  },
-  
-  fallback: function(path, leftBoundary, text, i) {
-    var _info = path[leftBoundary];
-    if (text[i].match(/[\u0E48-\u0E4E]/)) {
-      if (leftBoundary != 0) 
-        leftBoundary = path[leftBoundary].p;
-      return {p: leftBoundary,
-              mw: 0,
-              w: 1 + _info.w,
-              unk: 1 + _info.unk,
-              type: "UNK"};      
-/*    } else if(leftBoundary > 0 && path[leftBoundary].type !== "UNK") {
-      leftBoundary = path[leftBoundary].p;
-      return {p: leftBoundary,
-              w: 1 + _info.w,
-              unk: 1 + _info.unk,
-              type: "UNK"};            */
-    } else {      
-      return {p: leftBoundary,
-              mw: _info.mw,
-              w: 1 + _info.w,
-              unk: 1 + _info.unk,
-              type: "UNK"};
-    }
-  },
-  
-  build: function(path, finalAcceptors, i, leftBoundary, text) {
-    var basicPathInfos = this.buildByAcceptors(path, finalAcceptors, i);
-    if (basicPathInfos.length > 0) {
-      return basicPathInfos;
-    } else {
-      return [this.fallback(path, leftBoundary, text, i)];
-    }
-  }
-};
-
-module.exports = function() {
-  return _.clone(PathInfoBuilder);
-}
-
-},{"./wordcut_core":8,"underscore":25}],5:[function(require,module,exports){
-var _ = require("underscore");
-
-
-var PathSelector = {
-  selectPath: function(paths) {
-    var path = paths.reduce(function(selectedPath, path) {
-      if (selectedPath == null) {        
-        return path;
-      } else {
-        if (path.unk < selectedPath.unk) 
-          return path;        
-        if (path.unk == selectedPath.unk) {
-          if (path.mw < selectedPath.mw)
-            return path
-          if (path.mw == selectedPath.mw) {
-            if (path.w < selectedPath.w) 
-              return path;
-          }
-        }
-        return selectedPath;
-      }
-    }, null);
-    return path;
-  },
-  
-  createPath: function() {
-    return [{p:null, w:0, unk:0, type: "INIT", mw:0}];
-  }
-};
-
-module.exports = function() {
-  return _.clone(PathSelector);
-};
-
-},{"underscore":25}],6:[function(require,module,exports){
-function isMatch(pat, offset, ch) {
-  if (pat.length <= offset)
-    return false;
-  var _ch = pat[offset];
-  return _ch == ch ||
-         (_ch.match(/[กข]/) && ch.match(/[ก-ฮ]/)) ||
-         (_ch.match(/[มบ]/) && ch.match(/[ก-ฮ]/)) ||
-         (_ch.match(/\u0E49/) && ch.match(/[\u0E48-\u0E4B]/));
-}
-
-var Rule0 = {
-  pat: "เหก็ม",
-  createAcceptor: function(tag) {
-    return {strOffset: 0,
-            isFinal: false,
-            transit: function(ch) {
-              if (isMatch(Rule0.pat, this.strOffset,ch)) {                 
-                this.isFinal = (this.strOffset + 1 == Rule0.pat.length);                
-                this.strOffset++;
-              } else {              
-                this.isError = true;             
-              }
-              return this;
-            },
-            isError: false,
-            tag: "THAI_RULE",
-            type: "THAI_RULE", 
-            w: 1};                        
-  }
-};
-
-var PartRule = {
-  createAcceptor: function(tag) {
-    return {strOffset: 0,
-            patterns: [
-              "แก", "เก", "ก้", "กก์", "กา", "กี", "กิ", "กืก"  
-            ],
-            isFinal: false,
-            transit: function(ch) {
-              var offset = this.strOffset;
-              this.patterns = this.patterns.filter(function(pat) {
-                return isMatch(pat, offset, ch);
-              });
-              
-              if (this.patterns.length > 0) {
-                var len = 1 + offset;
-                this.isFinal = this.patterns.some(function(pat) {
-                  return pat.length == len; 
-                });
-                this.strOffset++;
-              } else {              
-                this.isError = true;             
-              }
-              return this;
-            },
-            isError: false,
-            tag: "PART",
-            type: "PART", 
-            unk: 1,
-            w: 1};                        
-  }
-};
-
-var ThaiRules = [Rule0, PartRule];
-
-module.exports = ThaiRules;
-
-},{}],7:[function(require,module,exports){
-var sys = require("sys")
-  , WordcutDict = require("./dict")
-  , WordcutCore = require("./wordcut_core")
-  , PathInfoBuilder = require("./path_info_builder")
-  , PathSelector = require("./path_selector")
-  , Acceptors = require("./acceptors")
-  , latinRules = require("./latin_rules")
-  , thaiRules = require("./thai_rules")
-  , _ = require("underscore");
-
-
-var Wordcut = Object.create(WordcutCore);
-Wordcut.defaultPathInfoBuilder = PathInfoBuilder;
-Wordcut.defaultPathSelector = PathSelector;
-Wordcut.defaultAcceptors = Acceptors;
-Wordcut.defaultLatinRules = latinRules;
-Wordcut.defaultThaiRules = thaiRules;
-Wordcut.defaultDict = WordcutDict;
-
-
-Wordcut.initNoDict = function(dict_path) {
-  var self = this;
-  self.pathInfoBuilder = new self.defaultPathInfoBuilder;
-  self.pathSelector = new self.defaultPathSelector;
-  self.acceptors = new self.defaultAcceptors;
-  self.defaultLatinRules.forEach(function(rule) {
-    self.acceptors.creators.push(rule);
-  });
-  self.defaultThaiRules.forEach(function(rule) {
-    self.acceptors.creators.push(rule);
-  });
-};
-
-Wordcut.init = function(dict_path, withDefault, additionalWords) {
-  withDefault = withDefault || false;
-  this.initNoDict();
-  var dict = _.clone(this.defaultDict);
-  dict.init(dict_path, withDefault, additionalWords);
-  this.acceptors.creators.push(dict);
-};
-
-module.exports = Wordcut;
-
-},{"./acceptors":1,"./dict":2,"./latin_rules":3,"./path_info_builder":4,"./path_selector":5,"./thai_rules":6,"./wordcut_core":8,"sys":28,"underscore":25}],8:[function(require,module,exports){
-var WordcutCore = {
-
-  buildPath: function(text) {
-    var self = this
-      , path = self.pathSelector.createPath()
-      , leftBoundary = 0;
-    self.acceptors.reset();
-    for (var i = 0; i < text.length; i++) {
-      var ch = text[i];
-      self.acceptors.transit(ch);
-
-      var possiblePathInfos = self
-        .pathInfoBuilder
-        .build(path,
-               self.acceptors.getFinalAcceptors(),
-               i,
-               leftBoundary,
-               text);
-      var selectedPath = self.pathSelector.selectPath(possiblePathInfos)
-
-      path.push(selectedPath);
-      if (selectedPath.type !== "UNK") {
-        leftBoundary = i;
-      }
-    }
-    return path;
-  },
-
-  pathToRanges: function(path) {
-    var e = path.length - 1
-     , ranges = [];
-
-    while (e > 0) {
-      var info = path[e]
-       , s = info.p;
-
-      if (info.merge !== undefined && ranges.length > 0) {
-        var r = ranges[ranges.length - 1];
-        r.s = info.merge;
-        s = r.s;
-      } else {
-        ranges.push({s:s, e:e});
-      }
-      e = s;
-    }
-    return ranges.reverse();
-  },
-
-  rangesToText: function(text, ranges, delimiter) {
-    return ranges.map(function(r) {
-      return text.substring(r.s, r.e);
-    }).join(delimiter);
-  },
-
-  cut: function(text, delimiter) {
-    var path = this.buildPath(text)
-      , ranges = this.pathToRanges(path);
-    return this
-      .rangesToText(text, ranges,
-                    (delimiter === undefined ? "|" : delimiter));
-  },
-
-  cutIntoRanges: function(text, noText) {
-    var path = this.buildPath(text)
-      , ranges = this.pathToRanges(path);
-
-    if (!noText) {
-      ranges.forEach(function(r) {
-        r.text = text.substring(r.s, r.e);
-      });
-    }
-    return ranges;
-  },
-
-  cutIntoArray: function(text) {
-    var path = this.buildPath(text)
-      , ranges = this.pathToRanges(path);
-    
-    return ranges.map(function(r) {
-      return text.substring(r.s, r.e)
-    });
-  }
-};
-
-module.exports = WordcutCore;
-
-},{}],9:[function(require,module,exports){
-// http://wiki.commonjs.org/wiki/Unit_Testing/1.0
-//
-// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8!
-//
-// Originally from narwhal.js (http://narwhaljs.org)
-// Copyright (c) 2009 Thomas Robinson <280north.com>
-//
-// Permission is hereby granted, free of charge, to any person obtaining a copy
-// of this software and associated documentation files (the 'Software'), to
-// deal in the Software without restriction, including without limitation the
-// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
-// sell copies of the Software, and to permit persons to whom the Software is
-// furnished to do so, subject to the following conditions:
-//
-// The above copyright notice and this permission notice shall be included in
-// all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
-// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
-// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-// when used in node, this will actually load the util module we depend on
-// versus loading the builtin util module as happens otherwise
-// this is a bug in node module loading as far as I am concerned
-var util = require('util/');
-
-var pSlice = Array.prototype.slice;
-var hasOwn = Object.prototype.hasOwnProperty;
-
-// 1. The assert module provides functions that throw
-// AssertionError's when particular conditions are not met. The
-// assert module must conform to the following interface.
-
-var assert = module.exports = ok;
-
-// 2. The AssertionError is defined in assert.
-// new assert.AssertionError({ message: message,
-//                             actual: actual,
-//                             expected: expected })
-
-assert.AssertionError = function AssertionError(options) {
-  this.name = 'AssertionError';
-  this.actual = options.actual;
-  this.expected = options.expected;
-  this.operator = options.operator;
-  if (options.message) {
-    this.message = options.message;
-    this.generatedMessage = false;
-  } else {
-    this.message = getMessage(this);
-    this.generatedMessage = true;
-  }
-  var stackStartFunction = options.stackStartFunction || fail;
-
-  if (Error.captureStackTrace) {
-    Error.captureStackTrace(this, stackStartFunction);
-  }
-  else {
-    // non v8 browsers so we can have a stacktrace
-    var err = new Error();
-    if (err.stack) {
-      var out = err.stack;
-
-      // try to strip useless frames
-      var fn_name = stackStartFunction.name;
-      var idx = out.indexOf('\n' + fn_name);
-      if (idx >= 0) {
-        // once we have located the function frame
-        // we need to strip out everything before it (and its line)
-        var next_line = out.indexOf('\n', idx + 1);
-        out = out.substring(next_line + 1);
-      }
-
-      this.stack = out;
-    }
-  }
-};
-
-// assert.AssertionError instanceof Error
-util.inherits(assert.AssertionError, Error);
-
-function replacer(key, value) {
-  if (util.isUndefined(value)) {
-    return '' + value;
-  }
-  if (util.isNumber(value) && !isFinite(value)) {
-    return value.toString();
-  }
-  if (util.isFunction(value) || util.isRegExp(value)) {
-    return value.toString();
-  }
-  return value;
-}
-
-function truncate(s, n) {
-  if (util.isString(s)) {
-    return s.length < n ? s : s.slice(0, n);
-  } else {
-    return s;
-  }
-}
-
-function getMessage(self) {
-  return truncate(JSON.stringify(self.actual, replacer), 128) + ' ' +
-         self.operator + ' ' +
-         truncate(JSON.stringify(self.expected, replacer), 128);
-}
-
-// At present only the three keys mentioned above are used and
-// understood by the spec. Implementations or sub modules can pass
-// other keys to the AssertionError's constructor - they will be
-// ignored.
-
-// 3. All of the following functions must throw an AssertionError
-// when a corresponding condition is not met, with a message that
-// may be undefined if not provided.  All assertion methods provide
-// both the actual and expected values to the assertion error for
-// display purposes.
-
-function fail(actual, expected, message, operator, stackStartFunction) {
-  throw new assert.AssertionError({
-    message: message,
-    actual: actual,
-    expected: expected,
-    operator: operator,
-    stackStartFunction: stackStartFunction
-  });
-}
-
-// EXTENSION! allows for well behaved errors defined elsewhere.
-assert.fail = fail;
-
-// 4. Pure assertion tests whether a value is truthy, as determined
-// by !!guard.
-// assert.ok(guard, message_opt);
-// This statement is equivalent to assert.equal(true, !!guard,
-// message_opt);. To test strictly for the value true, use
-// assert.strictEqual(true, guard, message_opt);.
-
-function ok(value, message) {
-  if (!value) fail(value, true, message, '==', assert.ok);
-}
-assert.ok = ok;
-
-// 5. The equality assertion tests shallow, coercive equality with
-// ==.
-// assert.equal(actual, expected, message_opt);
-
-assert.equal = function equal(actual, expected, message) {
-  if (actual != expected) fail(actual, expected, message, '==', assert.equal);
-};
-
-// 6. The non-equality assertion tests for whether two objects are not equal
-// with != assert.notEqual(actual, expected, message_opt);
-
-assert.notEqual = function notEqual(actual, expected, message) {
-  if (actual == expected) {
-    fail(actual, expected, message, '!=', assert.notEqual);
-  }
-};
-
-// 7. The equivalence assertion tests a deep equality relation.
-// assert.deepEqual(actual, expected, message_opt);
-
-assert.deepEqual = function deepEqual(actual, expected, message) {
-  if (!_deepEqual(actual, expected)) {
-    fail(actual, expected, message, 'deepEqual', assert.deepEqual);
-  }
-};
-
-function _deepEqual(actual, expected) {
-  // 7.1. All identical values are equivalent, as determined by ===.
-  if (actual === expected) {
-    return true;
-
-  } else if (util.isBuffer(actual) && util.isBuffer(expected)) {
-    if (actual.length != expected.length) return false;
-
-    for (var i = 0; i < actual.length; i++) {
-      if (actual[i] !== expected[i]) return false;
-    }
-
-    return true;
-
-  // 7.2. If the expected value is a Date object, the actual value is
-  // equivalent if it is also a Date object that refers to the same time.
-  } else if (util.isDate(actual) && util.isDate(expected)) {
-    return actual.getTime() === expected.getTime();
-
-  // 7.3 If the expected value is a RegExp object, the actual value is
-  // equivalent if it is also a RegExp object with the same source and
-  // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`).
-  } else if (util.isRegExp(actual) && util.isRegExp(expected)) {
-    return actual.source === expected.source &&
-           actual.global === expected.global &&
-           actual.multiline === expected.multiline &&
-           actual.lastIndex === expected.lastIndex &&
-           actual.ignoreCase === expected.ignoreCase;
-
-  // 7.4. Other pairs that do not both pass typeof value == 'object',
-  // equivalence is determined by ==.
-  } else if (!util.isObject(actual) && !util.isObject(expected)) {
-    return actual == expected;
-
-  // 7.5 For all other Object pairs, including Array objects, equivalence is
-  // determined by having the same number of owned properties (as verified
-  // with Object.prototype.hasOwnProperty.call), the same set of keys
-  // (although not necessarily the same order), equivalent values for every
-  // corresponding key, and an identical 'prototype' property. Note: this
-  // accounts for both named and indexed properties on Arrays.
-  } else {
-    return objEquiv(actual, expected);
-  }
-}
-
-function isArguments(object) {
-  return Object.prototype.toString.call(object) == '[object Arguments]';
-}
-
-function objEquiv(a, b) {
-  if (util.isNullOrUndefined(a) || util.isNullOrUndefined(b))
-    return false;
-  // an identical 'prototype' property.
-  if (a.prototype !== b.prototype) return false;
-  // if one is a primitive, the other must be same
-  if (util.isPrimitive(a) || util.isPrimitive(b)) {
-    return a === b;
-  }
-  var aIsArgs = isArguments(a),
-      bIsArgs = isArguments(b);
-  if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs))
-    return false;
-  if (aIsArgs) {
-    a = pSlice.call(a);
-    b = pSlice.call(b);
-    return _deepEqual(a, b);
-  }
-  var ka = objectKeys(a),
-      kb = objectKeys(b),
-      key, i;
-  // having the same number of owned properties (keys incorporates
-  // hasOwnProperty)
-  if (ka.length != kb.length)
-    return false;
-  //the same set of keys (although not necessarily the same order),
-  ka.sort();
-  kb.sort();
-  //~~~cheap key test
-  for (i = ka.length - 1; i >= 0; i--) {
-    if (ka[i] != kb[i])
-      return false;
-  }
-  //equivalent values for every corresponding key, and
-  //~~~possibly expensive deep test
-  for (i = ka.length - 1; i >= 0; i--) {
-    key = ka[i];
-    if (!_deepEqual(a[key], b[key])) return false;
-  }
-  return true;
-}
-
-// 8. The non-equivalence assertion tests for any deep inequality.
-// assert.notDeepEqual(actual, expected, message_opt);
-
-assert.notDeepEqual = function notDeepEqual(actual, expected, message) {
-  if (_deepEqual(actual, expected)) {
-    fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual);
-  }
-};
-
-// 9. The strict equality assertion tests strict equality, as determined by ===.
-// assert.strictEqual(actual, expected, message_opt);
-
-assert.strictEqual = function strictEqual(actual, expected, message) {
-  if (actual !== expected) {
-    fail(actual, expected, message, '===', assert.strictEqual);
-  }
-};
-
-// 10. The strict non-equality assertion tests for strict inequality, as
-// determined by !==.  assert.notStrictEqual(actual, expected, message_opt);
-
-assert.notStrictEqual = function notStrictEqual(actual, expected, message) {
-  if (actual === expected) {
-    fail(actual, expected, message, '!==', assert.notStrictEqual);
-  }
-};
-
-function expectedException(actual, expected) {
-  if (!actual || !expected) {
-    return false;
-  }
-
-  if (Object.prototype.toString.call(expected) == '[object RegExp]') {
-    return expected.test(actual);
-  } else if (actual instanceof expected) {
-    return true;
-  } else if (expected.call({}, actual) === true) {
-    return true;
-  }
-
-  return false;
-}
-
-function _throws(shouldThrow, block, expected, message) {
-  var actual;
-
-  if (util.isString(expected)) {
-    message = expected;
-    expected = null;
-  }
-
-  try {
-    block();
-  } catch (e) {
-    actual = e;
-  }
-
-  message = (expected && expected.name ? ' (' + expected.name + ').' : '.') +
-            (message ? ' ' + message : '.');
-
-  if (shouldThrow && !actual) {
-    fail(actual, expected, 'Missing expected exception' + message);
-  }
-
-  if (!shouldThrow && expectedException(actual, expected)) {
-    fail(actual, expected, 'Got unwanted exception' + message);
-  }
-
-  if ((shouldThrow && actual && expected &&
-      !expectedException(actual, expected)) || (!shouldThrow && actual)) {
-    throw actual;
-  }
-}
-
-// 11. Expected to throw an error:
-// assert.throws(block, Error_opt, message_opt);
-
-assert.throws = function(block, /*optional*/error, /*optional*/message) {
-  _throws.apply(this, [true].concat(pSlice.call(arguments)));
-};
-
-// EXTENSION! This is annoying to write outside this module.
-assert.doesNotThrow = function(block, /*optional*/message) {
-  _throws.apply(this, [false].concat(pSlice.call(arguments)));
-};
-
-assert.ifError = function(err) { if (err) {throw err;}};
-
-var objectKeys = Object.keys || function (obj) {
-  var keys = [];
-  for (var key in obj) {
-    if (hasOwn.call(obj, key)) keys.push(key);
-  }
-  return keys;
-};
-
-},{"util/":28}],10:[function(require,module,exports){
-'use strict';
-module.exports = balanced;
-function balanced(a, b, str) {
-  if (a instanceof RegExp) a = maybeMatch(a, str);
-  if (b instanceof RegExp) b = maybeMatch(b, str);
-
-  var r = range(a, b, str);
-
-  return r && {
-    start: r[0],
-    end: r[1],
-    pre: str.slice(0, r[0]),
-    body: str.slice(r[0] + a.length, r[1]),
-    post: str.slice(r[1] + b.length)
-  };
-}
-
-function maybeMatch(reg, str) {
-  var m = str.match(reg);
-  return m ? m[0] : null;
-}
-
-balanced.range = range;
-function range(a, b, str) {
-  var begs, beg, left, right, result;
-  var ai = str.indexOf(a);
-  var bi = str.indexOf(b, ai + 1);
-  var i = ai;
-
-  if (ai >= 0 && bi > 0) {
-    begs = [];
-    left = str.length;
-
-    while (i >= 0 && !result) {
-      if (i == ai) {
-        begs.push(i);
-        ai = str.indexOf(a, i + 1);
-      } else if (begs.length == 1) {
-        result = [ begs.pop(), bi ];
-      } else {
-        beg = begs.pop();
-        if (beg < left) {
-          left = beg;
-          right = bi;
-        }
-
-        bi = str.indexOf(b, i + 1);
-      }
-
-      i = ai < bi && ai >= 0 ? ai : bi;
-    }
-
-    if (begs.length) {
-      result = [ left, right ];
-    }
-  }
-
-  return result;
-}
-
-},{}],11:[function(require,module,exports){
-var concatMap = require('concat-map');
-var balanced = require('balanced-match');
-
-module.exports = expandTop;
-
-var escSlash = '\0SLASH'+Math.random()+'\0';
-var escOpen = '\0OPEN'+Math.random()+'\0';
-var escClose = '\0CLOSE'+Math.random()+'\0';
-var escComma = '\0COMMA'+Math.random()+'\0';
-var escPeriod = '\0PERIOD'+Math.random()+'\0';
-
-function numeric(str) {
-  return parseInt(str, 10) == str
-    ? parseInt(str, 10)
-    : str.charCodeAt(0);
-}
-
-function escapeBraces(str) {
-  return str.split('\\\\').join(escSlash)
-            .split('\\{').join(escOpen)
-            .split('\\}').join(escClose)
-            .split('\\,').join(escComma)
-            .split('\\.').join(escPeriod);
-}
-
-function unescapeBraces(str) {
-  return str.split(escSlash).join('\\')
-            .split(escOpen).join('{')
-            .split(escClose).join('}')
-            .split(escComma).join(',')
-            .split(escPeriod).join('.');
-}
-
-
-// Basically just str.split(","), but handling cases
-// where we have nested braced sections, which should be
-// treated as individual members, like {a,{b,c},d}
-function parseCommaParts(str) {
-  if (!str)
-    return [''];
-
-  var parts = [];
-  var m = balanced('{', '}', str);
-
-  if (!m)
-    return str.split(',');
-
-  var pre = m.pre;
-  var body = m.body;
-  var post = m.post;
-  var p = pre.split(',');
-
-  p[p.length-1] += '{' + body + '}';
-  var postParts = parseCommaParts(post);
-  if (post.length) {
-    p[p.length-1] += postParts.shift();
-    p.push.apply(p, postParts);
-  }
-
-  parts.push.apply(parts, p);
-
-  return parts;
-}
-
-function expandTop(str) {
-  if (!str)
-    return [];
-
-  // I don't know why Bash 4.3 does this, but it does.
-  // Anything starting with {} will have the first two bytes preserved
-  // but *only* at the top level, so {},a}b will not expand to anything,
-  // but a{},b}c will be expanded to [a}c,abc].
-  // One could argue that this is a bug in Bash, but since the goal of
-  // this module is to match Bash's rules, we escape a leading {}
-  if (str.substr(0, 2) === '{}') {
-    str = '\\{\\}' + str.substr(2);
-  }
-
-  return expand(escapeBraces(str), true).map(unescapeBraces);
-}
-
-function identity(e) {
-  return e;
-}
-
-function embrace(str) {
-  return '{' + str + '}';
-}
-function isPadded(el) {
-  return /^-?0\d/.test(el);
-}
-
-function lte(i, y) {
-  return i <= y;
-}
-function gte(i, y) {
-  return i >= y;
-}
-
-function expand(str, isTop) {
-  var expansions = [];
-
-  var m = balanced('{', '}', str);
-  if (!m || /\$$/.test(m.pre)) return [str];
-
-  var isNumericSequence = /^-?\d+\.\.-?\d+(?:\.\.-?\d+)?$/.test(m.body);
-  var isAlphaSequence = /^[a-zA-Z]\.\.[a-zA-Z](?:\.\.-?\d+)?$/.test(m.body);
-  var isSequence = isNumericSequence || isAlphaSequence;
-  var isOptions = m.body.indexOf(',') >= 0;
-  if (!isSequence && !isOptions) {
-    // {a},b}
-    if (m.post.match(/,.*\}/)) {
-      str = m.pre + '{' + m.body + escClose + m.post;
-      return expand(str);
-    }
-    return [str];
-  }
-
-  var n;
-  if (isSequence) {
-    n = m.body.split(/\.\./);
-  } else {
-    n = parseCommaParts(m.body);
-    if (n.length === 1) {
-      // x{{a,b}}y ==> x{a}y x{b}y
-      n = expand(n[0], false).map(embrace);
-      if (n.length === 1) {
-        var post = m.post.length
-          ? expand(m.post, false)
-          : [''];
-        return post.map(function(p) {
-          return m.pre + n[0] + p;
-        });
-      }
-    }
-  }
-
-  // at this point, n is the parts, and we know it's not a comma set
-  // with a single entry.
-
-  // no need to expand pre, since it is guaranteed to be free of brace-sets
-  var pre = m.pre;
-  var post = m.post.length
-    ? expand(m.post, false)
-    : [''];
-
-  var N;
-
-  if (isSequence) {
-    var x = numeric(n[0]);
-    var y = numeric(n[1]);
-    var width = Math.max(n[0].length, n[1].length)
-    var incr = n.length == 3
-      ? Math.abs(numeric(n[2]))
-      : 1;
-    var test = lte;
-    var reverse = y < x;
-    if (reverse) {
-      incr *= -1;
-      test = gte;
-    }
-    var pad = n.some(isPadded);
-
-    N = [];
-
-    for (var i = x; test(i, y); i += incr) {
-      var c;
-      if (isAlphaSequence) {
-        c = String.fromCharCode(i);
-        if (c === '\\')
-          c = '';
-      } else {
-        c = String(i);
-        if (pad) {
-          var need = width - c.length;
-          if (need > 0) {
-            var z = new Array(need + 1).join('0');
-            if (i < 0)
-              c = '-' + z + c.slice(1);
-            else
-              c = z + c;
-          }
-        }
-      }
-      N.push(c);
-    }
-  } else {
-    N = concatMap(n, function(el) { return expand(el, false) });
-  }
-
-  for (var j = 0; j < N.length; j++) {
-    for (var k = 0; k < post.length; k++) {
-      var expansion = pre + N[j] + post[k];
-      if (!isTop || isSequence || expansion)
-        expansions.push(expansion);
-    }
-  }
-
-  return expansions;
-}
-
-
-},{"balanced-match":10,"concat-map":13}],12:[function(require,module,exports){
-
-},{}],13:[function(require,module,exports){
-module.exports = function (xs, fn) {
-    var res = [];
-    for (var i = 0; i < xs.length; i++) {
-        var x = fn(xs[i], i);
-        if (isArray(x)) res.push.apply(res, x);
-        else res.push(x);
-    }
-    return res;
-};
-
-var isArray = Array.isArray || function (xs) {
-    return Object.prototype.toString.call(xs) === '[object Array]';
-};
-
-},{}],14:[function(require,module,exports){
-// Copyright Joyent, Inc. and other Node contributors.
-//
-// Permission is hereby granted, free of charge, to any person obtaining a
-// copy of this software and associated documentation files (the
-// "Software"), to deal in the Software without restriction, including
-// without limitation the rights to use, copy, modify, merge, publish,
-// distribute, sublicense, and/or sell copies of the Software, and to permit
-// persons to whom the Software is furnished to do so, subject to the
-// following conditions:
-//
-// The above copyright notice and this permission notice shall be included
-// in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
-// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
-// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
-// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
-// USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-function EventEmitter() {
-  this._events = this._events || {};
-  this._maxListeners = this._maxListeners || undefined;
-}
-module.exports = EventEmitter;
-
-// Backwards-compat with node 0.10.x
-EventEmitter.EventEmitter = EventEmitter;
-
-EventEmitter.prototype._events = undefined;
-EventEmitter.prototype._maxListeners = undefined;
-
-// By default EventEmitters will print a warning if more than 10 listeners are
-// added to it. This is a useful default which helps finding memory leaks.
-EventEmitter.defaultMaxListeners = 10;
-
-// Obviously not all Emitters should be limited to 10. This function allows
-// that to be increased. Set to zero for unlimited.
-EventEmitter.prototype.setMaxListeners = function(n) {
-  if (!isNumber(n) || n < 0 || isNaN(n))
-    throw TypeError('n must be a positive number');
-  this._maxListeners = n;
-  return this;
-};
-
-EventEmitter.prototype.emit = function(type) {
-  var er, handler, len, args, i, listeners;
-
-  if (!this._events)
-    this._events = {};
-
-  // If there is no 'error' event listener then throw.
-  if (type === 'error') {
-    if (!this._events.error ||
-        (isObject(this._events.error) && !this._events.error.length)) {
-      er = arguments[1];
-      if (er instanceof Error) {
-        throw er; // Unhandled 'error' event
-      }
-      throw TypeError('Uncaught, unspecified "error" event.');
-    }
-  }
-
-  handler = this._events[type];
-
-  if (isUndefined(handler))
-    return false;
-
-  if (isFunction(handler)) {
-    switch (arguments.length) {
-      // fast cases
-      case 1:
-        handler.call(this);
-        break;
-      case 2:
-        handler.call(this, arguments[1]);
-        break;
-      case 3:
-        handler.call(this, arguments[1], arguments[2]);
-        break;
-      // slower
-      default:
-        len = arguments.length;
-        args = new Array(len - 1);
-        for (i = 1; i < len; i++)
-          args[i - 1] = arguments[i];
-        handler.apply(this, args);
-    }
-  } else if (isObject(handler)) {
-    len = arguments.length;
-    args = new Array(len - 1);
-    for (i = 1; i < len; i++)
-      args[i - 1] = arguments[i];
-
-    listeners = handler.slice();
-    len = listeners.length;
-    for (i = 0; i < len; i++)
-      listeners[i].apply(this, args);
-  }
-
-  return true;
-};
-
-EventEmitter.prototype.addListener = function(type, listener) {
-  var m;
-
-  if (!isFunction(listener))
-    throw TypeError('listener must be a function');
-
-  if (!this._events)
-    this._events = {};
-
-  // To avoid recursion in the case that type === "newListener"! Before
-  // adding it to the listeners, first emit "newListener".
-  if (this._events.newListener)
-    this.emit('newListener', type,
-              isFunction(listener.listener) ?
-              listener.listener : listener);
-
-  if (!this._events[type])
-    // Optimize the case of one listener. Don't need the extra array object.
-    this._events[type] = listener;
-  else if (isObject(this._events[type]))
-    // If we've already got an array, just append.
-    this._events[type].push(listener);
-  else
-    // Adding the second element, need to change to array.
-    this._events[type] = [this._events[type], listener];
-
-  // Check for listener leak
-  if (isObject(this._events[type]) && !this._events[type].warned) {
-    var m;
-    if (!isUndefined(this._maxListeners)) {
-      m = this._maxListeners;
-    } else {
-      m = EventEmitter.defaultMaxListeners;
-    }
-
-    if (m && m > 0 && this._events[type].length > m) {
-      this._events[type].warned = true;
-      console.error('(node) warning: possible EventEmitter memory ' +
-                    'leak detected. %d listeners added. ' +
-                    'Use emitter.setMaxListeners() to increase limit.',
-                    this._events[type].length);
-      if (typeof console.trace === 'function') {
-        // not supported in IE 10
-        console.trace();
-      }
-    }
-  }
-
-  return this;
-};
-
-EventEmitter.prototype.on = EventEmitter.prototype.addListener;
-
-EventEmitter.prototype.once = function(type, listener) {
-  if (!isFunction(listener))
-    throw TypeError('listener must be a function');
-
-  var fired = false;
-
-  function g() {
-    this.removeListener(type, g);
-
-    if (!fired) {
-      fired = true;
-      listener.apply(this, arguments);
-    }
-  }
-
-  g.listener = listener;
-  this.on(type, g);
-
-  return this;
-};
-
-// emits a 'removeListener' event iff the listener was removed
-EventEmitter.prototype.removeListener = function(type, listener) {
-  var list, position, length, i;
-
-  if (!isFunction(listener))
-    throw TypeError('listener must be a function');
-
-  if (!this._events || !this._events[type])
-    return this;
-
-  list = this._events[type];
-  length = list.length;
-  position = -1;
-
-  if (list === listener ||
-      (isFunction(list.listener) && list.listener === listener)) {
-    delete this._events[type];
-    if (this._events.removeListener)
-      this.emit('removeListener', type, listener);
-
-  } else if (isObject(list)) {
-    for (i = length; i-- > 0;) {
-      if (list[i] === listener ||
-          (list[i].listener && list[i].listener === listener)) {
-        position = i;
-        break;
-      }
-    }
-
-    if (position < 0)
-      return this;
-
-    if (list.length === 1) {
-      list.length = 0;
-      delete this._events[type];
-    } else {
-      list.splice(position, 1);
-    }
-
-    if (this._events.removeListener)
-      this.emit('removeListener', type, listener);
-  }
-
-  return this;
-};
-
-EventEmitter.prototype.removeAllListeners = function(type) {
-  var key, listeners;
-
-  if (!this._events)
-    return this;
-
-  // not listening for removeListener, no need to emit
-  if (!this._events.removeListener) {
-    if (arguments.length === 0)
-      this._events = {};
-    else if (this._events[type])
-      delete this._events[type];
-    return this;
-  }
-
-  // emit removeListener for all listeners on all events
-  if (arguments.length === 0) {
-    for (key in this._events) {
-      if (key === 'removeListener') continue;
-      this.removeAllListeners(key);
-    }
-    this.removeAllListeners('removeListener');
-    this._events = {};
-    return this;
-  }
-
-  listeners = this._events[type];
-
-  if (isFunction(listeners)) {
-    this.removeListener(type, listeners);
-  } else {
-    // LIFO order
-    while (listeners.length)
-      this.removeListener(type, listeners[listeners.length - 1]);
-  }
-  delete this._events[type];
-
-  return this;
-};
-
-EventEmitter.prototype.listeners = function(type) {
-  var ret;
-  if (!this._events || !this._events[type])
-    ret = [];
-  else if (isFunction(this._events[type]))
-    ret = [this._events[type]];
-  else
-    ret = this._events[type].slice();
-  return ret;
-};
-
-EventEmitter.listenerCount = function(emitter, type) {
-  var ret;
-  if (!emitter._events || !emitter._events[type])
-    ret = 0;
-  else if (isFunction(emitter._events[type]))
-    ret = 1;
-  else
-    ret = emitter._events[type].length;
-  return ret;
-};
-
-function isFunction(arg) {
-  return typeof arg === 'function';
-}
-
-function isNumber(arg) {
-  return typeof arg === 'number';
-}
-
-function isObject(arg) {
-  return typeof arg === 'object' && arg !== null;
-}
-
-function isUndefined(arg) {
-  return arg === void 0;
-}
-
-},{}],15:[function(require,module,exports){
-(function (process){
-exports.alphasort = alphasort
-exports.alphasorti = alphasorti
-exports.setopts = setopts
-exports.ownProp = ownProp
-exports.makeAbs = makeAbs
-exports.finish = finish
-exports.mark = mark
-exports.isIgnored = isIgnored
-exports.childrenIgnored = childrenIgnored
-
-function ownProp (obj, field) {
-  return Object.prototype.hasOwnProperty.call(obj, field)
-}
-
-var path = require("path")
-var minimatch = require("minimatch")
-var isAbsolute = require("path-is-absolute")
-var Minimatch = minimatch.Minimatch
-
-function alphasorti (a, b) {
-  return a.toLowerCase().localeCompare(b.toLowerCase())
-}
-
-function alphasort (a, b) {
-  return a.localeCompare(b)
-}
-
-function setupIgnores (self, options) {
-  self.ignore = options.ignore || []
-
-  if (!Array.isArray(self.ignore))
-    self.ignore = [self.ignore]
-
-  if (self.ignore.length) {
-    self.ignore = self.ignore.map(ignoreMap)
-  }
-}
-
-function ignoreMap (pattern) {
-  var gmatcher = null
-  if (pattern.slice(-3) === '/**') {
-    var gpattern = pattern.replace(/(\/\*\*)+$/, '')
-    gmatcher = new Minimatch(gpattern)
-  }
-
-  return {
-    matcher: new Minimatch(pattern),
-    gmatcher: gmatcher
-  }
-}
-
-function setopts (self, pattern, options) {
-  if (!options)
-    options = {}
-
-  // base-matching: just use globstar for that.
-  if (options.matchBase && -1 === pattern.indexOf("/")) {
-    if (options.noglobstar) {
-      throw new Error("base matching requires globstar")
-    }
-    pattern = "**/" + pattern
-  }
-
-  self.silent = !!options.silent
-  self.pattern = pattern
-  self.strict = options.strict !== false
-  self.realpath = !!options.realpath
-  self.realpathCache = options.realpathCache || Object.create(null)
-  self.follow = !!options.follow
-  self.dot = !!options.dot
-  self.mark = !!options.mark
-  self.nodir = !!options.nodir
-  if (self.nodir)
-    self.mark = true
-  self.sync = !!options.sync
-  self.nounique = !!options.nounique
-  self.nonull = !!options.nonull
-  self.nosort = !!options.nosort
-  self.nocase = !!options.nocase
-  self.stat = !!options.stat
-  self.noprocess = !!options.noprocess
-
-  self.maxLength = options.maxLength || Infinity
-  self.cache = options.cache || Object.create(null)
-  self.statCache = options.statCache || Object.create(null)
-  self.symlinks = options.symlinks || Object.create(null)
-
-  setupIgnores(self, options)
-
-  self.changedCwd = false
-  var cwd = process.cwd()
-  if (!ownProp(options, "cwd"))
-    self.cwd = cwd
-  else {
-    self.cwd = options.cwd
-    self.changedCwd = path.resolve(options.cwd) !== cwd
-  }
-
-  self.root = options.root || path.resolve(self.cwd, "/")
-  self.root = path.resolve(self.root)
-  if (process.platform === "win32")
-    self.root = self.root.replace(/\\/g, "/")
-
-  self.nomount = !!options.nomount
-
-  // disable comments and negation unless the user explicitly
-  // passes in false as the option.
-  options.nonegate = options.nonegate === false ? false : true
-  options.nocomment = options.nocomment === false ? false : true
-  deprecationWarning(options)
-
-  self.minimatch = new Minimatch(pattern, options)
-  self.options = self.minimatch.options
-}
-
-// TODO(isaacs): remove entirely in v6
-// exported to reset in tests
-exports.deprecationWarned
-function deprecationWarning(options) {
-  if (!options.nonegate || !options.nocomment) {
-    if (process.noDeprecation !== true && !exports.deprecationWarned) {
-      var msg = 'glob WARNING: comments and negation will be disabled in v6'
-      if (process.throwDeprecation)
-        throw new Error(msg)
-      else if (process.traceDeprecation)
-        console.trace(msg)
-      else
-        console.error(msg)
-
-      exports.deprecationWarned = true
-    }
-  }
-}
-
-function finish (self) {
-  var nou = self.nounique
-  var all = nou ? [] : Object.create(null)
-
-  for (var i = 0, l = self.matches.length; i < l; i ++) {
-    var matches = self.matches[i]
-    if (!matches || Object.keys(matches).length === 0) {
-      if (self.nonull) {
-        // do like the shell, and spit out the literal glob
-        var literal = self.minimatch.globSet[i]
-        if (nou)
-          all.push(literal)
-        else
-          all[literal] = true
-      }
-    } else {
-      // had matches
-      var m = Object.keys(matches)
-      if (nou)
-        all.push.apply(all, m)
-      else
-        m.forEach(function (m) {
-          all[m] = true
-        })
-    }
-  }
-
-  if (!nou)
-    all = Object.keys(all)
-
-  if (!self.nosort)
-    all = all.sort(self.nocase ? alphasorti : alphasort)
-
-  // at *some* point we statted all of these
-  if (self.mark) {
-    for (var i = 0; i < all.length; i++) {
-      all[i] = self._mark(all[i])
-    }
-    if (self.nodir) {
-      all = all.filter(function (e) {
-        return !(/\/$/.test(e))
-      })
-    }
-  }
-
-  if (self.ignore.length)
-    all = all.filter(function(m) {
-      return !isIgnored(self, m)
-    })
-
-  self.found = all
-}
-
-function mark (self, p) {
-  var abs = makeAbs(self, p)
-  var c = self.cache[abs]
-  var m = p
-  if (c) {
-    var isDir = c === 'DIR' || Array.isArray(c)
-    var slash = p.slice(-1) === '/'
-
-    if (isDir && !slash)
-      m += '/'
-    else if (!isDir && slash)
-      m = m.slice(0, -1)
-
-    if (m !== p) {
-      var mabs = makeAbs(self, m)
-      self.statCache[mabs] = self.statCache[abs]
-      self.cache[mabs] = self.cache[abs]
-    }
-  }
-
-  return m
-}
-
-// lotta situps...
-function makeAbs (self, f) {
-  var abs = f
-  if (f.charAt(0) === '/') {
-    abs = path.join(self.root, f)
-  } else if (isAbsolute(f) || f === '') {
-    abs = f
-  } else if (self.changedCwd) {
-    abs = path.resolve(self.cwd, f)
-  } else {
-    abs = path.resolve(f)
-  }
-  return abs
-}
-
-
-// Return true, if pattern ends with globstar '**', for the accompanying parent directory.
-// Ex:- If node_modules/** is the pattern, add 'node_modules' to ignore list along with it's contents
-function isIgnored (self, path) {
-  if (!self.ignore.length)
-    return false
-
-  return self.ignore.some(function(item) {
-    return item.matcher.match(path) || !!(item.gmatcher && item.gmatcher.match(path))
-  })
-}
-
-function childrenIgnored (self, path) {
-  if (!self.ignore.length)
-    return false
-
-  return self.ignore.some(function(item) {
-    return !!(item.gmatcher && item.gmatcher.match(path))
-  })
-}
-
-}).call(this,require('_process'))
-},{"_process":24,"minimatch":20,"path":22,"path-is-absolute":23}],16:[function(require,module,exports){
-(function (process){
-// Approach:
-//
-// 1. Get the minimatch set
-// 2. For each pattern in the set, PROCESS(pattern, false)
-// 3. Store matches per-set, then uniq them
-//
-// PROCESS(pattern, inGlobStar)
-// Get the first [n] items from pattern that are all strings
-// Join these together.  This is PREFIX.
-//   If there is no more remaining, then stat(PREFIX) and
-//   add to matches if it succeeds.  END.
-//
-// If inGlobStar and PREFIX is symlink and points to dir
-//   set ENTRIES = []
-// else readdir(PREFIX) as ENTRIES
-//   If fail, END
-//
-// with ENTRIES
-//   If pattern[n] is GLOBSTAR
-//     // handle the case where the globstar match is empty
-//     // by pruning it out, and testing the resulting pattern
-//     PROCESS(pattern[0..n] + pattern[n+1 .. $], false)
-//     // handle other cases.
-//     for ENTRY in ENTRIES (not dotfiles)
-//       // attach globstar + tail onto the entry
-//       // Mark that this entry is a globstar match
-//       PROCESS(pattern[0..n] + ENTRY + pattern[n .. $], true)
-//
-//   else // not globstar
-//     for ENTRY in ENTRIES (not dotfiles, unless pattern[n] is dot)
-//       Test ENTRY against pattern[n]
-//       If fails, continue
-//       If passes, PROCESS(pattern[0..n] + item + pattern[n+1 .. $])
-//
-// Caveat:
-//   Cache all stats and readdirs results to minimize syscall.  Since all
-//   we ever care about is existence and directory-ness, we can just keep
-//   `true` for files, and [children,...] for directories, or `false` for
-//   things that don't exist.
-
-module.exports = glob
-
-var fs = require('fs')
-var minimatch = require('minimatch')
-var Minimatch = minimatch.Minimatch
-var inherits = require('inherits')
-var EE = require('events').EventEmitter
-var path = require('path')
-var assert = require('assert')
-var isAbsolute = require('path-is-absolute')
-var globSync = require('./sync.js')
-var common = require('./common.js')
-var alphasort = common.alphasort
-var alphasorti = common.alphasorti
-var setopts = common.setopts
-var ownProp = common.ownProp
-var inflight = require('inflight')
-var util = require('util')
-var childrenIgnored = common.childrenIgnored
-var isIgnored = common.isIgnored
-
-var once = require('once')
-
-function glob (pattern, options, cb) {
-  if (typeof options === 'function') cb = options, options = {}
-  if (!options) options = {}
-
-  if (options.sync) {
-    if (cb)
-      throw new TypeError('callback provided to sync glob')
-    return globSync(pattern, options)
-  }
-
-  return new Glob(pattern, options, cb)
-}
-
-glob.sync = globSync
-var GlobSync = glob.GlobSync = globSync.GlobSync
-
-// old api surface
-glob.glob = glob
-
-glob.hasMagic = function (pattern, options_) {
-  var options = util._extend({}, options_)
-  options.noprocess = true
-
-  var g = new Glob(pattern, options)
-  var set = g.minimatch.set
-  if (set.length > 1)
-    return true
-
-  for (var j = 0; j < set[0].length; j++) {
-    if (typeof set[0][j] !== 'string')
-      return true
-  }
-
-  return false
-}
-
-glob.Glob = Glob
-inherits(Glob, EE)
-function Glob (pattern, options, cb) {
-  if (typeof options === 'function') {
-    cb = options
-    options = null
-  }
-
-  if (options && options.sync) {
-    if (cb)
-      throw new TypeError('callback provided to sync glob')
-    return new GlobSync(pattern, options)
-  }
-
-  if (!(this instanceof Glob))
-    return new Glob(pattern, options, cb)
-
-  setopts(this, pattern, options)
-  this._didRealPath = false
-
-  // process each pattern in the minimatch set
-  var n = this.minimatch.set.length
-
-  // The matches are stored as {<filename>: true,...} so that
-  // duplicates are automagically pruned.
-  // Later, we do an Object.keys() on these.
-  // Keep them as a list so we can fill in when nonull is set.
-  this.matches = new Array(n)
-
-  if (typeof cb === 'function') {
-    cb = once(cb)
-    this.on('error', cb)
-    this.on('end', function (matches) {
-      cb(null, matches)
-    })
-  }
-
-  var self = this
-  var n = this.minimatch.set.length
-  this._processing = 0
-  this.matches = new Array(n)
-
-  this._emitQueue = []
-  this._processQueue = []
-  this.paused = false
-
-  if (this.noprocess)
-    return this
-
-  if (n === 0)
-    return done()
-
-  for (var i = 0; i < n; i ++) {
-    this._process(this.minimatch.set[i], i, false, done)
-  }
-
-  function done () {
-    --self._processing
-    if (self._processing <= 0)
-      self._finish()
-  }
-}
-
-Glob.prototype._finish = function () {
-  assert(this instanceof Glob)
-  if (this.aborted)
-    return
-
-  if (this.realpath && !this._didRealpath)
-    return this._realpath()
-
-  common.finish(this)
-  this.emit('end', this.found)
-}
-
-Glob.prototype._realpath = function () {
-  if (this._didRealpath)
-    return
-
-  this._didRealpath = true
-
-  var n = this.matches.length
-  if (n === 0)
-    return this._finish()
-
-  var self = this
-  for (var i = 0; i < this.matches.length; i++)
-    this._realpathSet(i, next)
-
-  function next () {
-    if (--n === 0)
-      self._finish()
-  }
-}
-
-Glob.prototype._realpathSet = function (index, cb) {
-  var matchset = this.matches[index]
-  if (!matchset)
-    return cb()
-
-  var found = Object.keys(matchset)
-  var self = this
-  var n = found.length
-
-  if (n === 0)
-    return cb()
-
-  var set = this.matches[index] = Object.create(null)
-  found.forEach(function (p, i) {
-    // If there's a problem with the stat, then it means that
-    // one or more of the links in the realpath couldn't be
-    // resolved.  just return the abs value in that case.
-    p = self._makeAbs(p)
-    fs.realpath(p, self.realpathCache, function (er, real) {
-      if (!er)
-        set[real] = true
-      else if (er.syscall === 'stat')
-        set[p] = true
-      else
-        self.emit('error', er) // srsly wtf right here
-
-      if (--n === 0) {
-        self.matches[index] = set
-        cb()
-      }
-    })
-  })
-}
-
-Glob.prototype._mark = function (p) {
-  return common.mark(this, p)
-}
-
-Glob.prototype._makeAbs = function (f) {
-  return common.makeAbs(this, f)
-}
-
-Glob.prototype.abort = function () {
-  this.aborted = true
-  this.emit('abort')
-}
-
-Glob.prototype.pause = function () {
-  if (!this.paused) {
-    this.paused = true
-    this.emit('pause')
-  }
-}
-
-Glob.prototype.resume = function () {
-  if (this.paused) {
-    this.emit('resume')
-    this.paused = false
-    if (this._emitQueue.length) {
-      var eq = this._emitQueue.slice(0)
-      this._emitQueue.length = 0
-      for (var i = 0; i < eq.length; i ++) {
-        var e = eq[i]
-        this._emitMatch(e[0], e[1])
-      }
-    }
-    if (this._processQueue.length) {
-      var pq = this._processQueue.slice(0)
-      this._processQueue.length = 0
-      for (var i = 0; i < pq.length; i ++) {
-        var p = pq[i]
-        this._processing--
-        this._process(p[0], p[1], p[2], p[3])
-      }
-    }
-  }
-}
-
-Glob.prototype._process = function (pattern, index, inGlobStar, cb) {
-  assert(this instanceof Glob)
-  assert(typeof cb === 'function')
-
-  if (this.aborted)
-    return
-
-  this._processing++
-  if (this.paused) {
-    this._processQueue.push([pattern, index, inGlobStar, cb])
-    return
-  }
-
-  //console.error('PROCESS %d', this._processing, pattern)
-
-  // Get the first [n] parts of pattern that are all strings.
-  var n = 0
-  while (typeof pattern[n] === 'string') {
-    n ++
-  }
-  // now n is the index of the first one that is *not* a string.
-
-  // see if there's anything else
-  var prefix
-  switch (n) {
-    // if not, then this is rather simple
-    case pattern.length:
-      this._processSimple(pattern.join('/'), index, cb)
-      return
-
-    case 0:
-      // pattern *starts* with some non-trivial item.
-      // going to readdir(cwd), but not include the prefix in matches.
-      prefix = null
-      break
-
-    default:
-      // pattern has some string bits in the front.
-      // whatever it starts with, whether that's 'absolute' like /foo/bar,
-      // or 'relative' like '../baz'
-      prefix = pattern.slice(0, n).join('/')
-      break
-  }
-
-  var remain = pattern.slice(n)
-
-  // get the list of entries.
-  var read
-  if (prefix === null)
-    read = '.'
-  else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) {
-    if (!prefix || !isAbsolute(prefix))
-      prefix = '/' + prefix
-    read = prefix
-  } else
-    read = prefix
-
-  var abs = this._makeAbs(read)
-
-  //if ignored, skip _processing
-  if (childrenIgnored(this, read))
-    return cb()
-
-  var isGlobStar = remain[0] === minimatch.GLOBSTAR
-  if (isGlobStar)
-    this._processGlobStar(prefix, read, abs, remain, index, inGlobStar, cb)
-  else
-    this._processReaddir(prefix, read, abs, remain, index, inGlobStar, cb)
-}
-
-Glob.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar, cb) {
-  var self = this
-  this._readdir(abs, inGlobStar, function (er, entries) {
-    return self._processReaddir2(prefix, read, abs, remain, index, inGlobStar, entries, cb)
-  })
-}
-
-Glob.prototype._processReaddir2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) {
-
-  // if the abs isn't a dir, then nothing can match!
-  if (!entries)
-    return cb()
-
-  // It will only match dot entries if it starts with a dot, or if
-  // dot is set.  Stuff like @(.foo|.bar) isn't allowed.
-  var pn = remain[0]
-  var negate = !!this.minimatch.negate
-  var rawGlob = pn._glob
-  var dotOk = this.dot || rawGlob.charAt(0) === '.'
-
-  var matchedEntries = []
-  for (var i = 0; i < entries.length; i++) {
-    var e = entries[i]
-    if (e.charAt(0) !== '.' || dotOk) {
-      var m
-      if (negate && !prefix) {
-        m = !e.match(pn)
-      } else {
-        m = e.match(pn)
-      }
-      if (m)
-        matchedEntries.push(e)
-    }
-  }
-
-  //console.error('prd2', prefix, entries, remain[0]._glob, matchedEntries)
-
-  var len = matchedEntries.length
-  // If there are no matched entries, then nothing matches.
-  if (len === 0)
-    return cb()
-
-  // if this is the last remaining pattern bit, then no need for
-  // an additional stat *unless* the user has specified mark or
-  // stat explicitly.  We know they exist, since readdir returned
-  // them.
-
-  if (remain.length === 1 && !this.mark && !this.stat) {
-    if (!this.matches[index])
-      this.matches[index] = Object.create(null)
-
-    for (var i = 0; i < len; i ++) {
-      var e = matchedEntries[i]
-      if (prefix) {
-        if (prefix !== '/')
-          e = prefix + '/' + e
-        else
-          e = prefix + e
-      }
-
-      if (e.charAt(0) === '/' && !this.nomount) {
-        e = path.join(this.root, e)
-      }
-      this._emitMatch(index, e)
-    }
-    // This was the last one, and no stats were needed
-    return cb()
-  }
-
-  // now test all matched entries as stand-ins for that part
-  // of the pattern.
-  remain.shift()
-  for (var i = 0; i < len; i ++) {
-    var e = matchedEntries[i]
-    var newPattern
-    if (prefix) {
-      if (prefix !== '/')
-        e = prefix + '/' + e
-      else
-        e = prefix + e
-    }
-    this._process([e].concat(remain), index, inGlobStar, cb)
-  }
-  cb()
-}
-
-Glob.prototype._emitMatch = function (index, e) {
-  if (this.aborted)
-    return
-
-  if (this.matches[index][e])
-    return
-
-  if (isIgnored(this, e))
-    return
-
-  if (this.paused) {
-    this._emitQueue.push([index, e])
-    return
-  }
-
-  var abs = this._makeAbs(e)
-
-  if (this.nodir) {
-    var c = this.cache[abs]
-    if (c === 'DIR' || Array.isArray(c))
-      return
-  }
-
-  if (this.mark)
-    e = this._mark(e)
-
-  this.matches[index][e] = true
-
-  var st = this.statCache[abs]
-  if (st)
-    this.emit('stat', e, st)
-
-  this.emit('match', e)
-}
-
-Glob.prototype._readdirInGlobStar = function (abs, cb) {
-  if (this.aborted)
-    return
-
-  // follow all symlinked directories forever
-  // just proceed as if this is a non-globstar situation
-  if (this.follow)
-    return this._readdir(abs, false, cb)
-
-  var lstatkey = 'lstat\0' + abs
-  var self = this
-  var lstatcb = inflight(lstatkey, lstatcb_)
-
-  if (lstatcb)
-    fs.lstat(abs, lstatcb)
-
-  function lstatcb_ (er, lstat) {
-    if (er)
-      return cb()
-
-    var isSym = lstat.isSymbolicLink()
-    self.symlinks[abs] = isSym
-
-    // If it's not a symlink or a dir, then it's definitely a regular file.
-    // don't bother doing a readdir in that case.
-    if (!isSym && !lstat.isDirectory()) {
-      self.cache[abs] = 'FILE'
-      cb()
-    } else
-      self._readdir(abs, false, cb)
-  }
-}
-
-Glob.prototype._readdir = function (abs, inGlobStar, cb) {
-  if (this.aborted)
-    return
-
-  cb = inflight('readdir\0'+abs+'\0'+inGlobStar, cb)
-  if (!cb)
-    return
-
-  //console.error('RD %j %j', +inGlobStar, abs)
-  if (inGlobStar && !ownProp(this.symlinks, abs))
-    return this._readdirInGlobStar(abs, cb)
-
-  if (ownProp(this.cache, abs)) {
-    var c = this.cache[abs]
-    if (!c || c === 'FILE')
-      return cb()
-
-    if (Array.isArray(c))
-      return cb(null, c)
-  }
-
-  var self = this
-  fs.readdir(abs, readdirCb(this, abs, cb))
-}
-
-function readdirCb (self, abs, cb) {
-  return function (er, entries) {
-    if (er)
-      self._readdirError(abs, er, cb)
-    else
-      self._readdirEntries(abs, entries, cb)
-  }
-}
-
-Glob.prototype._readdirEntries = function (abs, entries, cb) {
-  if (this.aborted)
-    return
-
-  // if we haven't asked to stat everything, then just
-  // assume that everything in there exists, so we can avoid
-  // having to stat it a second time.
-  if (!this.mark && !this.stat) {
-    for (var i = 0; i < entries.length; i ++) {
-      var e = entries[i]
-      if (abs === '/')
-        e = abs + e
-      else
-        e = abs + '/' + e
-      this.cache[e] = true
-    }
-  }
-
-  this.cache[abs] = entries
-  return cb(null, entries)
-}
-
-Glob.prototype._readdirError = function (f, er, cb) {
-  if (this.aborted)
-    return
-
-  // handle errors, and cache the information
-  switch (er.code) {
-    case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205
-    case 'ENOTDIR': // totally normal. means it *does* exist.
-      this.cache[this._makeAbs(f)] = 'FILE'
-      break
-
-    case 'ENOENT': // not terribly unusual
-    case 'ELOOP':
-    case 'ENAMETOOLONG':
-    case 'UNKNOWN':
-      this.cache[this._makeAbs(f)] = false
-      break
-
-    default: // some unusual error.  Treat as failure.
-      this.cache[this._makeAbs(f)] = false
-      if (this.strict) {
-        this.emit('error', er)
-        // If the error is handled, then we abort
-        // if not, we threw out of here
-        this.abort()
-      }
-      if (!this.silent)
-        console.error('glob error', er)
-      break
-  }
-
-  return cb()
-}
-
-Glob.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar, cb) {
-  var self = this
-  this._readdir(abs, inGlobStar, function (er, entries) {
-    self._processGlobStar2(prefix, read, abs, remain, index, inGlobStar, entries, cb)
-  })
-}
-
-
-Glob.prototype._processGlobStar2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) {
-  //console.error('pgs2', prefix, remain[0], entries)
-
-  // no entries means not a dir, so it can never have matches
-  // foo.txt/** doesn't match foo.txt
-  if (!entries)
-    return cb()
-
-  // test without the globstar, and with every child both below
-  // and replacing the globstar.
-  var remainWithoutGlobStar = remain.slice(1)
-  var gspref = prefix ? [ prefix ] : []
-  var noGlobStar = gspref.concat(remainWithoutGlobStar)
-
-  // the noGlobStar pattern exits the inGlobStar state
-  this._process(noGlobStar, index, false, cb)
-
-  var isSym = this.symlinks[abs]
-  var len = entries.length
-
-  // If it's a symlink, and we're in a globstar, then stop
-  if (isSym && inGlobStar)
-    return cb()
-
-  for (var i = 0; i < len; i++) {
-    var e = entries[i]
-    if (e.charAt(0) === '.' && !this.dot)
-      continue
-
-    // these two cases enter the inGlobStar state
-    var instead = gspref.concat(entries[i], remainWithoutGlobStar)
-    this._process(instead, index, true, cb)
-
-    var below = gspref.concat(entries[i], remain)
-    this._process(below, index, true, cb)
-  }
-
-  cb()
-}
-
-Glob.prototype._processSimple = function (prefix, index, cb) {
-  // XXX review this.  Shouldn't it be doing the mounting etc
-  // before doing stat?  kinda weird?
-  var self = this
-  this._stat(prefix, function (er, exists) {
-    self._processSimple2(prefix, index, er, exists, cb)
-  })
-}
-Glob.prototype._processSimple2 = function (prefix, index, er, exists, cb) {
-
-  //console.error('ps2', prefix, exists)
-
-  if (!this.matches[index])
-    this.matches[index] = Object.create(null)
-
-  // If it doesn't exist, then just mark the lack of results
-  if (!exists)
-    return cb()
-
-  if (prefix && isAbsolute(prefix) && !this.nomount) {
-    var trail = /[\/\\]$/.test(prefix)
-    if (prefix.charAt(0) === '/') {
-      prefix = path.join(this.root, prefix)
-    } else {
-      prefix = path.resolve(this.root, prefix)
-      if (trail)
-        prefix += '/'
-    }
-  }
-
-  if (process.platform === 'win32')
-    prefix = prefix.replace(/\\/g, '/')
-
-  // Mark this as a match
-  this._emitMatch(index, prefix)
-  cb()
-}
-
-// Returns either 'DIR', 'FILE', or false
-Glob.prototype._stat = function (f, cb) {
-  var abs = this._makeAbs(f)
-  var needDir = f.slice(-1) === '/'
-
-  if (f.length > this.maxLength)
-    return cb()
-
-  if (!this.stat && ownProp(this.cache, abs)) {
-    var c = this.cache[abs]
-
-    if (Array.isArray(c))
-      c = 'DIR'
-
-    // It exists, but maybe not how we need it
-    if (!needDir || c === 'DIR')
-      return cb(null, c)
-
-    if (needDir && c === 'FILE')
-      return cb()
-
-    // otherwise we have to stat, because maybe c=true
-    // if we know it exists, but not what it is.
-  }
-
-  var exists
-  var stat = this.statCache[abs]
-  if (stat !== undefined) {
-    if (stat === false)
-      return cb(null, stat)
-    else {
-      var type = stat.isDirectory() ? 'DIR' : 'FILE'
-      if (needDir && type === 'FILE')
-        return cb()
-      else
-        return cb(null, type, stat)
-    }
-  }
-
-  var self = this
-  var statcb = inflight('stat\0' + abs, lstatcb_)
-  if (statcb)
-    fs.lstat(abs, statcb)
-
-  function lstatcb_ (er, lstat) {
-    if (lstat && lstat.isSymbolicLink()) {
-      // If it's a symlink, then treat it as the target, unless
-      // the target does not exist, then treat it as a file.
-      return fs.stat(abs, function (er, stat) {
-        if (er)
-          self._stat2(f, abs, null, lstat, cb)
-        else
-          self._stat2(f, abs, er, stat, cb)
-      })
-    } else {
-      self._stat2(f, abs, er, lstat, cb)
-    }
-  }
-}
-
-Glob.prototype._stat2 = function (f, abs, er, stat, cb) {
-  if (er) {
-    this.statCache[abs] = false
-    return cb()
-  }
-
-  var needDir = f.slice(-1) === '/'
-  this.statCache[abs] = stat
-
-  if (abs.slice(-1) === '/' && !stat.isDirectory())
-    return cb(null, false, stat)
-
-  var c = stat.isDirectory() ? 'DIR' : 'FILE'
-  this.cache[abs] = this.cache[abs] || c
-
-  if (needDir && c !== 'DIR')
-    return cb()
-
-  return cb(null, c, stat)
-}
-
-}).call(this,require('_process'))
-},{"./common.js":15,"./sync.js":17,"_process":24,"assert":9,"events":14,"fs":12,"inflight":18,"inherits":19,"minimatch":20,"once":21,"path":22,"path-is-absolute":23,"util":28}],17:[function(require,module,exports){
-(function (process){
-module.exports = globSync
-globSync.GlobSync = GlobSync
-
-var fs = require('fs')
-var minimatch = require('minimatch')
-var Minimatch = minimatch.Minimatch
-var Glob = require('./glob.js').Glob
-var util = require('util')
-var path = require('path')
-var assert = require('assert')
-var isAbsolute = require('path-is-absolute')
-var common = require('./common.js')
-var alphasort = common.alphasort
-var alphasorti = common.alphasorti
-var setopts = common.setopts
-var ownProp = common.ownProp
-var childrenIgnored = common.childrenIgnored
-
-function globSync (pattern, options) {
-  if (typeof options === 'function' || arguments.length === 3)
-    throw new TypeError('callback provided to sync glob\n'+
-                        'See: https://github.com/isaacs/node-glob/issues/167')
-
-  return new GlobSync(pattern, options).found
-}
-
-function GlobSync (pattern, options) {
-  if (!pattern)
-    throw new Error('must provide pattern')
-
-  if (typeof options === 'function' || arguments.length === 3)
-    throw new TypeError('callback provided to sync glob\n'+
-                        'See: https://github.com/isaacs/node-glob/issues/167')
-
-  if (!(this instanceof GlobSync))
-    return new GlobSync(pattern, options)
-
-  setopts(this, pattern, options)
-
-  if (this.noprocess)
-    return this
-
-  var n = this.minimatch.set.length
-  this.matches = new Array(n)
-  for (var i = 0; i < n; i ++) {
-    this._process(this.minimatch.set[i], i, false)
-  }
-  this._finish()
-}
-
-GlobSync.prototype._finish = function () {
-  assert(this instanceof GlobSync)
-  if (this.realpath) {
-    var self = this
-    this.matches.forEach(function (matchset, index) {
-      var set = self.matches[index] = Object.create(null)
-      for (var p in matchset) {
-        try {
-          p = self._makeAbs(p)
-          var real = fs.realpathSync(p, self.realpathCache)
-          set[real] = true
-        } catch (er) {
-          if (er.syscall === 'stat')
-            set[self._makeAbs(p)] = true
-          else
-            throw er
-        }
-      }
-    })
-  }
-  common.finish(this)
-}
-
-
-GlobSync.prototype._process = function (pattern, index, inGlobStar) {
-  assert(this instanceof GlobSync)
-
-  // Get the first [n] parts of pattern that are all strings.
-  var n = 0
-  while (typeof pattern[n] === 'string') {
-    n ++
-  }
-  // now n is the index of the first one that is *not* a string.
-
-  // See if there's anything else
-  var prefix
-  switch (n) {
-    // if not, then this is rather simple
-    case pattern.length:
-      this._processSimple(pattern.join('/'), index)
-      return
-
-    case 0:
-      // pattern *starts* with some non-trivial item.
-      // going to readdir(cwd), but not include the prefix in matches.
-      prefix = null
-      break
-
-    default:
-      // pattern has some string bits in the front.
-      // whatever it starts with, whether that's 'absolute' like /foo/bar,
-      // or 'relative' like '../baz'
-      prefix = pattern.slice(0, n).join('/')
-      break
-  }
-
-  var remain = pattern.slice(n)
-
-  // get the list of entries.
-  var read
-  if (prefix === null)
-    read = '.'
-  else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) {
-    if (!prefix || !isAbsolute(prefix))
-      prefix = '/' + prefix
-    read = prefix
-  } else
-    read = prefix
-
-  var abs = this._makeAbs(read)
-
-  //if ignored, skip processing
-  if (childrenIgnored(this, read))
-    return
-
-  var isGlobStar = remain[0] === minimatch.GLOBSTAR
-  if (isGlobStar)
-    this._processGlobStar(prefix, read, abs, remain, index, inGlobStar)
-  else
-    this._processReaddir(prefix, read, abs, remain, index, inGlobStar)
-}
-
-
-GlobSync.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar) {
-  var entries = this._readdir(abs, inGlobStar)
-
-  // if the abs isn't a dir, then nothing can match!
-  if (!entries)
-    return
-
-  // It will only match dot entries if it starts with a dot, or if
-  // dot is set.  Stuff like @(.foo|.bar) isn't allowed.
-  var pn = remain[0]
-  var negate = !!this.minimatch.negate
-  var rawGlob = pn._glob
-  var dotOk = this.dot || rawGlob.charAt(0) === '.'
-
-  var matchedEntries = []
-  for (var i = 0; i < entries.length; i++) {
-    var e = entries[i]
-    if (e.charAt(0) !== '.' || dotOk) {
-      var m
-      if (negate && !prefix) {
-        m = !e.match(pn)
-      } else {
-        m = e.match(pn)
-      }
-      if (m)
-        matchedEntries.push(e)
-    }
-  }
-
-  var len = matchedEntries.length
-  // If there are no matched entries, then nothing matches.
-  if (len === 0)
-    return
-
-  // if this is the last remaining pattern bit, then no need for
-  // an additional stat *unless* the user has specified mark or
-  // stat explicitly.  We know they exist, since readdir returned
-  // them.
-
-  if (remain.length === 1 && !this.mark && !this.stat) {
-    if (!this.matches[index])
-      this.matches[index] = Object.create(null)
-
-    for (var i = 0; i < len; i ++) {
-      var e = matchedEntries[i]
-      if (prefix) {
-        if (prefix.slice(-1) !== '/')
-          e = prefix + '/' + e
-        else
-          e = prefix + e
-      }
-
-      if (e.charAt(0) === '/' && !this.nomount) {
-        e = path.join(this.root, e)
-      }
-      this.matches[index][e] = true
-    }
-    // This was the last one, and no stats were needed
-    return
-  }
-
-  // now test all matched entries as stand-ins for that part
-  // of the pattern.
-  remain.shift()
-  for (var i = 0; i < len; i ++) {
-    var e = matchedEntries[i]
-    var newPattern
-    if (prefix)
-      newPattern = [prefix, e]
-    else
-      newPattern = [e]
-    this._process(newPattern.concat(remain), index, inGlobStar)
-  }
-}
-
-
-GlobSync.prototype._emitMatch = function (index, e) {
-  var abs = this._makeAbs(e)
-  if (this.mark)
-    e = this._mark(e)
-
-  if (this.matches[index][e])
-    return
-
-  if (this.nodir) {
-    var c = this.cache[this._makeAbs(e)]
-    if (c === 'DIR' || Array.isArray(c))
-      return
-  }
-
-  this.matches[index][e] = true
-  if (this.stat)
-    this._stat(e)
-}
-
-
-GlobSync.prototype._readdirInGlobStar = function (abs) {
-  // follow all symlinked directories forever
-  // just proceed as if this is a non-globstar situation
-  if (this.follow)
-    return this._readdir(abs, false)
-
-  var entries
-  var lstat
-  var stat
-  try {
-    lstat = fs.lstatSync(abs)
-  } catch (er) {
-    // lstat failed, doesn't exist
-    return null
-  }
-
-  var isSym = lstat.isSymbolicLink()
-  this.symlinks[abs] = isSym
-
-  // If it's not a symlink or a dir, then it's definitely a regular file.
-  // don't bother doing a readdir in that case.
-  if (!isSym && !lstat.isDirectory())
-    this.cache[abs] = 'FILE'
-  else
-    entries = this._readdir(abs, false)
-
-  return entries
-}
-
-GlobSync.prototype._readdir = function (abs, inGlobStar) {
-  var entries
-
-  if (inGlobStar && !ownProp(this.symlinks, abs))
-    return this._readdirInGlobStar(abs)
-
-  if (ownProp(this.cache, abs)) {
-    var c = this.cache[abs]
-    if (!c || c === 'FILE')
-      return null
-
-    if (Array.isArray(c))
-      return c
-  }
-
-  try {
-    return this._readdirEntries(abs, fs.readdirSync(abs))
-  } catch (er) {
-    this._readdirError(abs, er)
-    return null
-  }
-}
-
-GlobSync.prototype._readdirEntries = function (abs, entries) {
-  // if we haven't asked to stat everything, then just
-  // assume that everything in there exists, so we can avoid
-  // having to stat it a second time.
-  if (!this.mark && !this.stat) {
-    for (var i = 0; i < entries.length; i ++) {
-      var e = entries[i]
-      if (abs === '/')
-        e = abs + e
-      else
-        e = abs + '/' + e
-      this.cache[e] = true
-    }
-  }
-
-  this.cache[abs] = entries
-
-  // mark and cache dir-ness
-  return entries
-}
-
-GlobSync.prototype._readdirError = function (f, er) {
-  // handle errors, and cache the information
-  switch (er.code) {
-    case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205
-    case 'ENOTDIR': // totally normal. means it *does* exist.
-      this.cache[this._makeAbs(f)] = 'FILE'
-      break
-
-    case 'ENOENT': // not terribly unusual
-    case 'ELOOP':
-    case 'ENAMETOOLONG':
-    case 'UNKNOWN':
-      this.cache[this._makeAbs(f)] = false
-      break
-
-    default: // some unusual error.  Treat as failure.
-      this.cache[this._makeAbs(f)] = false
-      if (this.strict)
-        throw er
-      if (!this.silent)
-        console.error('glob error', er)
-      break
-  }
-}
-
-GlobSync.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar) {
-
-  var entries = this._readdir(abs, inGlobStar)
-
-  // no entries means not a dir, so it can never have matches
-  // foo.txt/** doesn't match foo.txt
-  if (!entries)
-    return
-
-  // test without the globstar, and with every child both below
-  // and replacing the globstar.
-  var remainWithoutGlobStar = remain.slice(1)
-  var gspref = prefix ? [ prefix ] : []
-  var noGlobStar = gspref.concat(remainWithoutGlobStar)
-
-  // the noGlobStar pattern exits the inGlobStar state
-  this._process(noGlobStar, index, false)
-
-  var len = entries.length
-  var isSym = this.symlinks[abs]
-
-  // If it's a symlink, and we're in a globstar, then stop
-  if (isSym && inGlobStar)
-    return
-
-  for (var i = 0; i < len; i++) {
-    var e = entries[i]
-    if (e.charAt(0) === '.' && !this.dot)
-      continue
-
-    // these two cases enter the inGlobStar state
-    var instead = gspref.concat(entries[i], remainWithoutGlobStar)
-    this._process(instead, index, true)
-
-    var below = gspref.concat(entries[i], remain)
-    this._process(below, index, true)
-  }
-}
-
-GlobSync.prototype._processSimple = function (prefix, index) {
-  // XXX review this.  Shouldn't it be doing the mounting etc
-  // before doing stat?  kinda weird?
-  var exists = this._stat(prefix)
-
-  if (!this.matches[index])
-    this.matches[index] = Object.create(null)
-
-  // If it doesn't exist, then just mark the lack of results
-  if (!exists)
-    return
-
-  if (prefix && isAbsolute(prefix) && !this.nomount) {
-    var trail = /[\/\\]$/.test(prefix)
-    if (prefix.charAt(0) === '/') {
-      prefix = path.join(this.root, prefix)
-    } else {
-      prefix = path.resolve(this.root, prefix)
-      if (trail)
-        prefix += '/'
-    }
-  }
-
-  if (process.platform === 'win32')
-    prefix = prefix.replace(/\\/g, '/')
-
-  // Mark this as a match
-  this.matches[index][prefix] = true
-}
-
-// Returns either 'DIR', 'FILE', or false
-GlobSync.prototype._stat = function (f) {
-  var abs = this._makeAbs(f)
-  var needDir = f.slice(-1) === '/'
-
-  if (f.length > this.maxLength)
-    return false
-
-  if (!this.stat && ownProp(this.cache, abs)) {
-    var c = this.cache[abs]
-
-    if (Array.isArray(c))
-      c = 'DIR'
-
-    // It exists, but maybe not how we need it
-    if (!needDir || c === 'DIR')
-      return c
-
-    if (needDir && c === 'FILE')
-      return false
-
-    // otherwise we have to stat, because maybe c=true
-    // if we know it exists, but not what it is.
-  }
-
-  var exists
-  var stat = this.statCache[abs]
-  if (!stat) {
-    var lstat
-    try {
-      lstat = fs.lstatSync(abs)
-    } catch (er) {
-      return false
-    }
-
-    if (lstat.isSymbolicLink()) {
-      try {
-        stat = fs.statSync(abs)
-      } catch (er) {
-        stat = lstat
-      }
-    } else {
-      stat = lstat
-    }
-  }
-
-  this.statCache[abs] = stat
-
-  var c = stat.isDirectory() ? 'DIR' : 'FILE'
-  this.cache[abs] = this.cache[abs] || c
-
-  if (needDir && c !== 'DIR')
-    return false
-
-  return c
-}
-
-GlobSync.prototype._mark = function (p) {
-  return common.mark(this, p)
-}
-
-GlobSync.prototype._makeAbs = function (f) {
-  return common.makeAbs(this, f)
-}
-
-}).call(this,require('_process'))
-},{"./common.js":15,"./glob.js":16,"_process":24,"assert":9,"fs":12,"minimatch":20,"path":22,"path-is-absolute":23,"util":28}],18:[function(require,module,exports){
-(function (process){
-var wrappy = require('wrappy')
-var reqs = Object.create(null)
-var once = require('once')
-
-module.exports = wrappy(inflight)
-
-function inflight (key, cb) {
-  if (reqs[key]) {
-    reqs[key].push(cb)
-    return null
-  } else {
-    reqs[key] = [cb]
-    return makeres(key)
-  }
-}
-
-function makeres (key) {
-  return once(function RES () {
-    var cbs = reqs[key]
-    var len = cbs.length
-    var args = slice(arguments)
-
-    // XXX It's somewhat ambiguous whether a new callback added in this
-    // pass should be queued for later execution if something in the
-    // list of callbacks throws, or if it should just be discarded.
-    // However, it's such an edge case that it hardly matters, and either
-    // choice is likely as surprising as the other.
-    // As it happens, we do go ahead and schedule it for later execution.
-    try {
-      for (var i = 0; i < len; i++) {
-        cbs[i].apply(null, args)
-      }
-    } finally {
-      if (cbs.length > len) {
-        // added more in the interim.
-        // de-zalgo, just in case, but don't call again.
-        cbs.splice(0, len)
-        process.nextTick(function () {
-          RES.apply(null, args)
-        })
-      } else {
-        delete reqs[key]
-      }
-    }
-  })
-}
-
-function slice (args) {
-  var length = args.length
-  var array = []
-
-  for (var i = 0; i < length; i++) array[i] = args[i]
-  return array
-}
-
-}).call(this,require('_process'))
-},{"_process":24,"once":21,"wrappy":29}],19:[function(require,module,exports){
-if (typeof Object.create === 'function') {
-  // implementation from standard node.js 'util' module
-  module.exports = function inherits(ctor, superCtor) {
-    ctor.super_ = superCtor
-    ctor.prototype = Object.create(superCtor.prototype, {
-      constructor: {
-        value: ctor,
-        enumerable: false,
-        writable: true,
-        configurable: true
-      }
-    });
-  };
-} else {
-  // old school shim for old browsers
-  module.exports = function inherits(ctor, superCtor) {
-    ctor.super_ = superCtor
-    var TempCtor = function () {}
-    TempCtor.prototype = superCtor.prototype
-    ctor.prototype = new TempCtor()
-    ctor.prototype.constructor = ctor
-  }
-}
-
-},{}],20:[function(require,module,exports){
-module.exports = minimatch
-minimatch.Minimatch = Minimatch
-
-var path = { sep: '/' }
-try {
-  path = require('path')
-} catch (er) {}
-
-var GLOBSTAR = minimatch.GLOBSTAR = Minimatch.GLOBSTAR = {}
-var expand = require('brace-expansion')
-
-var plTypes = {
-  '!': { open: '(?:(?!(?:', close: '))[^/]*?)'},
-  '?': { open: '(?:', close: ')?' },
-  '+': { open: '(?:', close: ')+' },
-  '*': { open: '(?:', close: ')*' },
-  '@': { open: '(?:', close: ')' }
-}
-
-// any single thing other than /
-// don't need to escape / when using new RegExp()
-var qmark = '[^/]'
-
-// * => any number of characters
-var star = qmark + '*?'
-
-// ** when dots are allowed.  Anything goes, except .. and .
-// not (^ or / followed by one or two dots followed by $ or /),
-// followed by anything, any number of times.
-var twoStarDot = '(?:(?!(?:\\\/|^)(?:\\.{1,2})($|\\\/)).)*?'
-
-// not a ^ or / followed by a dot,
-// followed by anything, any number of times.
-var twoStarNoDot = '(?:(?!(?:\\\/|^)\\.).)*?'
-
-// characters that need to be escaped in RegExp.
-var reSpecials = charSet('().*{}+?[]^$\\!')
-
-// "abc" -> { a:true, b:true, c:true }
-function charSet (s) {
-  return s.split('').reduce(function (set, c) {
-    set[c] = true
-    return set
-  }, {})
-}
-
-// normalizes slashes.
-var slashSplit = /\/+/
-
-minimatch.filter = filter
-function filter (pattern, options) {
-  options = options || {}
-  return function (p, i, list) {
-    return minimatch(p, pattern, options)
-  }
-}
-
-function ext (a, b) {
-  a = a || {}
-  b = b || {}
-  var t = {}
-  Object.keys(b).forEach(function (k) {
-    t[k] = b[k]
-  })
-  Object.keys(a).forEach(function (k) {
-    t[k] = a[k]
-  })
-  return t
-}
-
-minimatch.defaults = function (def) {
-  if (!def || !Object.keys(def).length) return minimatch
-
-  var orig = minimatch
-
-  var m = function minimatch (p, pattern, options) {
-    return orig.minimatch(p, pattern, ext(def, options))
-  }
-
-  m.Minimatch = function Minimatch (pattern, options) {
-    return new orig.Minimatch(pattern, ext(def, options))
-  }
-
-  return m
-}
-
-Minimatch.defaults = function (def) {
-  if (!def || !Object.keys(def).length) return Minimatch
-  return minimatch.defaults(def).Minimatch
-}
-
-function minimatch (p, pattern, options) {
-  if (typeof pattern !== 'string') {
-    throw new TypeError('glob pattern string required')
-  }
-
-  if (!options) options = {}
-
-  // shortcut: comments match nothing.
-  if (!options.nocomment && pattern.charAt(0) === '#') {
-    return false
-  }
-
-  // "" only matches ""
-  if (pattern.trim() === '') return p === ''
-
-  return new Minimatch(pattern, options).match(p)
-}
-
-function Minimatch (pattern, options) {
-  if (!(this instanceof Minimatch)) {
-    return new Minimatch(pattern, options)
-  }
-
-  if (typeof pattern !== 'string') {
-    throw new TypeError('glob pattern string required')
-  }
-
-  if (!options) options = {}
-  pattern = pattern.trim()
-
-  // windows support: need to use /, not \
-  if (path.sep !== '/') {
-    pattern = pattern.split(path.sep).join('/')
-  }
-
-  this.options = options
-  this.set = []
-  this.pattern = pattern
-  this.regexp = null
-  this.negate = false
-  this.comment = false
-  this.empty = false
-
-  // make the set of regexps etc.
-  this.make()
-}
-
-Minimatch.prototype.debug = function () {}
-
-Minimatch.prototype.make = make
-function make () {
-  // don't do it more than once.
-  if (this._made) return
-
-  var pattern = this.pattern
-  var options = this.options
-
-  // empty patterns and comments match nothing.
-  if (!options.nocomment && pattern.charAt(0) === '#') {
-    this.comment = true
-    return
-  }
-  if (!pattern) {
-    this.empty = true
-    return
-  }
-
-  // step 1: figure out negation, etc.
-  this.parseNegate()
-
-  // step 2: expand braces
-  var set = this.globSet = this.braceExpand()
-
-  if (options.debug) this.debug = console.error
-
-  this.debug(this.pattern, set)
-
-  // step 3: now we have a set, so turn each one into a series of path-portion
-  // matching patterns.
-  // These will be regexps, except in the case of "**", which is
-  // set to the GLOBSTAR object for globstar behavior,
-  // and will not contain any / characters
-  set = this.globParts = set.map(function (s) {
-    return s.split(slashSplit)
-  })
-
-  this.debug(this.pattern, set)
-
-  // glob --> regexps
-  set = set.map(function (s, si, set) {
-    return s.map(this.parse, this)
-  }, this)
-
-  this.debug(this.pattern, set)
-
-  // filter out everything that didn't compile properly.
-  set = set.filter(function (s) {
-    return s.indexOf(false) === -1
-  })
-
-  this.debug(this.pattern, set)
-
-  this.set = set
-}
-
-Minimatch.prototype.parseNegate = parseNegate
-function parseNegate () {
-  var pattern = this.pattern
-  var negate = false
-  var options = this.options
-  var negateOffset = 0
-
-  if (options.nonegate) return
-
-  for (var i = 0, l = pattern.length
-    ; i < l && pattern.charAt(i) === '!'
-    ; i++) {
-    negate = !negate
-    negateOffset++
-  }
-
-  if (negateOffset) this.pattern = pattern.substr(negateOffset)
-  this.negate = negate
-}
-
-// Brace expansion:
-// a{b,c}d -> abd acd
-// a{b,}c -> abc ac
-// a{0..3}d -> a0d a1d a2d a3d
-// a{b,c{d,e}f}g -> abg acdfg acefg
-// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg
-//
-// Invalid sets are not expanded.
-// a{2..}b -> a{2..}b
-// a{b}c -> a{b}c
-minimatch.braceExpand = function (pattern, options) {
-  return braceExpand(pattern, options)
-}
-
-Minimatch.prototype.braceExpand = braceExpand
-
-function braceExpand (pattern, options) {
-  if (!options) {
-    if (this instanceof Minimatch) {
-      options = this.options
-    } else {
-      options = {}
-    }
-  }
-
-  pattern = typeof pattern === 'undefined'
-    ? this.pattern : pattern
-
-  if (typeof pattern === 'undefined') {
-    throw new TypeError('undefined pattern')
-  }
-
-  if (options.nobrace ||
-    !pattern.match(/\{.*\}/)) {
-    // shortcut. no need to expand.
-    return [pattern]
-  }
-
-  return expand(pattern)
-}
-
-// parse a component of the expanded set.
-// At this point, no pattern may contain "/" in it
-// so we're going to return a 2d array, where each entry is the full
-// pattern, split on '/', and then turned into a regular expression.
-// A regexp is made at the end which joins each array with an
-// escaped /, and another full one which joins each regexp with |.
-//
-// Following the lead of Bash 4.1, note that "**" only has special meaning
-// when it is the *only* thing in a path portion.  Otherwise, any series
-// of * is equivalent to a single *.  Globstar behavior is enabled by
-// default, and can be disabled by setting options.noglobstar.
-Minimatch.prototype.parse = parse
-var SUBPARSE = {}
-function parse (pattern, isSub) {
-  if (pattern.length > 1024 * 64) {
-    throw new TypeError('pattern is too long')
-  }
-
-  var options = this.options
-
-  // shortcuts
-  if (!options.noglobstar && pattern === '**') return GLOBSTAR
-  if (pattern === '') return ''
-
-  var re = ''
-  var hasMagic = !!options.nocase
-  var escaping = false
-  // ? => one single character
-  var patternListStack = []
-  var negativeLists = []
-  var stateChar
-  var inClass = false
-  var reClassStart = -1
-  var classStart = -1
-  // . and .. never match anything that doesn't start with .,
-  // even when options.dot is set.
-  var patternStart = pattern.charAt(0) === '.' ? '' // anything
-  // not (start or / followed by . or .. followed by / or end)
-  : options.dot ? '(?!(?:^|\\\/)\\.{1,2}(?:$|\\\/))'
-  : '(?!\\.)'
-  var self = this
-
-  function clearStateChar () {
-    if (stateChar) {
-      // we had some state-tracking character
-      // that wasn't consumed by this pass.
-      switch (stateChar) {
-        case '*':
-          re += star
-          hasMagic = true
-        break
-        case '?':
-          re += qmark
-          hasMagic = true
-        break
-        default:
-          re += '\\' + stateChar
-        break
-      }
-      self.debug('clearStateChar %j %j', stateChar, re)
-      stateChar = false
-    }
-  }
-
-  for (var i = 0, len = pattern.length, c
-    ; (i < len) && (c = pattern.charAt(i))
-    ; i++) {
-    this.debug('%s\t%s %s %j', pattern, i, re, c)
-
-    // skip over any that are escaped.
-    if (escaping && reSpecials[c]) {
-      re += '\\' + c
-      escaping = false
-      continue
-    }
-
-    switch (c) {
-      case '/':
-        // completely not allowed, even escaped.
-        // Should already be path-split by now.
-        return false
-
-      case '\\':
-        clearStateChar()
-        escaping = true
-      continue
-
-      // the various stateChar values
-      // for the "extglob" stuff.
-      case '?':
-      case '*':
-      case '+':
-      case '@':
-      case '!':
-        this.debug('%s\t%s %s %j <-- stateChar', pattern, i, re, c)
-
-        // all of those are literals inside a class, except that
-        // the glob [!a] means [^a] in regexp
-        if (inClass) {
-          this.debug('  in class')
-          if (c === '!' && i === classStart + 1) c = '^'
-          re += c
-          continue
-        }
-
-        // if we already have a stateChar, then it means
-        // that there was something like ** or +? in there.
-        // Handle the stateChar, then proceed with this one.
-        self.debug('call clearStateChar %j', stateChar)
-        clearStateChar()
-        stateChar = c
-        // if extglob is disabled, then +(asdf|foo) isn't a thing.
-        // just clear the statechar *now*, rather than even diving into
-        // the patternList stuff.
-        if (options.noext) clearStateChar()
-      continue
-
-      case '(':
-        if (inClass) {
-          re += '('
-          continue
-        }
-
-        if (!stateChar) {
-          re += '\\('
-          continue
-        }
-
-        patternListStack.push({
-          type: stateChar,
-          start: i - 1,
-          reStart: re.length,
-          open: plTypes[stateChar].open,
-          close: plTypes[stateChar].close
-        })
-        // negation is (?:(?!js)[^/]*)
-        re += stateChar === '!' ? '(?:(?!(?:' : '(?:'
-        this.debug('plType %j %j', stateChar, re)
-        stateChar = false
-      continue
-
-      case ')':
-        if (inClass || !patternListStack.length) {
-          re += '\\)'
-          continue
-        }
-
-        clearStateChar()
-        hasMagic = true
-        var pl = patternListStack.pop()
-        // negation is (?:(?!js)[^/]*)
-        // The others are (?:<pattern>)<type>
-        re += pl.close
-        if (pl.type === '!') {
-          negativeLists.push(pl)
-        }
-        pl.reEnd = re.length
-      continue
-
-      case '|':
-        if (inClass || !patternListStack.length || escaping) {
-          re += '\\|'
-          escaping = false
-          continue
-        }
-
-        clearStateChar()
-        re += '|'
-      continue
-
-      // these are mostly the same in regexp and glob
-      case '[':
-        // swallow any state-tracking char before the [
-        clearStateChar()
-
-        if (inClass) {
-          re += '\\' + c
-          continue
-        }
-
-        inClass = true
-        classStart = i
-        reClassStart = re.length
-        re += c
-      continue
-
-      case ']':
-        //  a right bracket shall lose its special
-        //  meaning and represent itself in
-        //  a bracket expression if it occurs
-        //  first in the list.  -- POSIX.2 2.8.3.2
-        if (i === classStart + 1 || !inClass) {
-          re += '\\' + c
-          escaping = false
-          continue
-        }
-
-        // handle the case where we left a class open.
-        // "[z-a]" is valid, equivalent to "\[z-a\]"
-        if (inClass) {
-          // split where the last [ was, make sure we don't have
-          // an invalid re. if so, re-walk the contents of the
-          // would-be class to re-translate any characters that
-          // were passed through as-is
-          // TODO: It would probably be faster to determine this
-          // without a try/catch and a new RegExp, but it's tricky
-          // to do safely.  For now, this is safe and works.
-          var cs = pattern.substring(classStart + 1, i)
-          try {
-            RegExp('[' + cs + ']')
-          } catch (er) {
-            // not a valid class!
-            var sp = this.parse(cs, SUBPARSE)
-            re = re.substr(0, reClassStart) + '\\[' + sp[0] + '\\]'
-            hasMagic = hasMagic || sp[1]
-            inClass = false
-            continue
-          }
-        }
-
-        // finish up the class.
-        hasMagic = true
-        inClass = false
-        re += c
-      continue
-
-      default:
-        // swallow any state char that wasn't consumed
-        clearStateChar()
-
-        if (escaping) {
-          // no need
-          escaping = false
-        } else if (reSpecials[c]
-          && !(c === '^' && inClass)) {
-          re += '\\'
-        }
-
-        re += c
-
-    } // switch
-  } // for
-
-  // handle the case where we left a class open.
-  // "[abc" is valid, equivalent to "\[abc"
-  if (inClass) {
-    // split where the last [ was, and escape it
-    // this is a huge pita.  We now have to re-walk
-    // the contents of the would-be class to re-translate
-    // any characters that were passed through as-is
-    cs = pattern.substr(classStart + 1)
-    sp = this.parse(cs, SUBPARSE)
-    re = re.substr(0, reClassStart) + '\\[' + sp[0]
-    hasMagic = hasMagic || sp[1]
-  }
-
-  // handle the case where we had a +( thing at the *end*
-  // of the pattern.
-  // each pattern list stack adds 3 chars, and we need to go through
-  // and escape any | chars that were passed through as-is for the regexp.
-  // Go through and escape them, taking care not to double-escape any
-  // | chars that were already escaped.
-  for (pl = patternListStack.pop(); pl; pl = patternListStack.pop()) {
-    var tail = re.slice(pl.reStart + pl.open.length)
-    this.debug('setting tail', re, pl)
-    // maybe some even number of \, then maybe 1 \, followed by a |
-    tail = tail.replace(/((?:\\{2}){0,64})(\\?)\|/g, function (_, $1, $2) {
-      if (!$2) {
-        // the | isn't already escaped, so escape it.
-        $2 = '\\'
-      }
-
-      // need to escape all those slashes *again*, without escaping the
-      // one that we need for escaping the | character.  As it works out,
-      // escaping an even number of slashes can be done by simply repeating
-      // it exactly after itself.  That's why this trick works.
-      //
-      // I am sorry that you have to see this.
-      return $1 + $1 + $2 + '|'
-    })
-
-    this.debug('tail=%j\n   %s', tail, tail, pl, re)
-    var t = pl.type === '*' ? star
-      : pl.type === '?' ? qmark
-      : '\\' + pl.type
-
-    hasMagic = true
-    re = re.slice(0, pl.reStart) + t + '\\(' + tail
-  }
-
-  // handle trailing things that only matter at the very end.
-  clearStateChar()
-  if (escaping) {
-    // trailing \\
-    re += '\\\\'
-  }
-
-  // only need to apply the nodot start if the re starts with
-  // something that could conceivably capture a dot
-  var addPatternStart = false
-  switch (re.charAt(0)) {
-    case '.':
-    case '[':
-    case '(': addPatternStart = true
-  }
-
-  // Hack to work around lack of negative lookbehind in JS
-  // A pattern like: *.!(x).!(y|z) needs to ensure that a name
-  // like 'a.xyz.yz' doesn't match.  So, the first negative
-  // lookahead, has to look ALL the way ahead, to the end of
-  // the pattern.
-  for (var n = negativeLists.length - 1; n > -1; n--) {
-    var nl = negativeLists[n]
-
-    var nlBefore = re.slice(0, nl.reStart)
-    var nlFirst = re.slice(nl.reStart, nl.reEnd - 8)
-    var nlLast = re.slice(nl.reEnd - 8, nl.reEnd)
-    var nlAfter = re.slice(nl.reEnd)
-
-    nlLast += nlAfter
-
-    // Handle nested stuff like *(*.js|!(*.json)), where open parens
-    // mean that we should *not* include the ) in the bit that is considered
-    // "after" the negated section.
-    var openParensBefore = nlBefore.split('(').length - 1
-    var cleanAfter = nlAfter
-    for (i = 0; i < openParensBefore; i++) {
-      cleanAfter = cleanAfter.replace(/\)[+*?]?/, '')
-    }
-    nlAfter = cleanAfter
-
-    var dollar = ''
-    if (nlAfter === '' && isSub !== SUBPARSE) {
-      dollar = '$'
-    }
-    var newRe = nlBefore + nlFirst + nlAfter + dollar + nlLast
-    re = newRe
-  }
-
-  // if the re is not "" at this point, then we need to make sure
-  // it doesn't match against an empty path part.
-  // Otherwise a/* will match a/, which it should not.
-  if (re !== '' && hasMagic) {
-    re = '(?=.)' + re
-  }
-
-  if (addPatternStart) {
-    re = patternStart + re
-  }
-
-  // parsing just a piece of a larger pattern.
-  if (isSub === SUBPARSE) {
-    return [re, hasMagic]
-  }
-
-  // skip the regexp for non-magical patterns
-  // unescape anything in it, though, so that it'll be
-  // an exact match against a file etc.
-  if (!hasMagic) {
-    return globUnescape(pattern)
-  }
-
-  var flags = options.nocase ? 'i' : ''
-  try {
-    var regExp = new RegExp('^' + re + '$', flags)
-  } catch (er) {
-    // If it was an invalid regular expression, then it can't match
-    // anything.  This trick looks for a character after the end of
-    // the string, which is of course impossible, except in multi-line
-    // mode, but it's not a /m regex.
-    return new RegExp('$.')
-  }
-
-  regExp._glob = pattern
-  regExp._src = re
-
-  return regExp
-}
-
-minimatch.makeRe = function (pattern, options) {
-  return new Minimatch(pattern, options || {}).makeRe()
-}
-
-Minimatch.prototype.makeRe = makeRe
-function makeRe () {
-  if (this.regexp || this.regexp === false) return this.regexp
-
-  // at this point, this.set is a 2d array of partial
-  // pattern strings, or "**".
-  //
-  // It's better to use .match().  This function shouldn't
-  // be used, really, but it's pretty convenient sometimes,
-  // when you just want to work with a regex.
-  var set = this.set
-
-  if (!set.length) {
-    this.regexp = false
-    return this.regexp
-  }
-  var options = this.options
-
-  var twoStar = options.noglobstar ? star
-    : options.dot ? twoStarDot
-    : twoStarNoDot
-  var flags = options.nocase ? 'i' : ''
-
-  var re = set.map(function (pattern) {
-    return pattern.map(function (p) {
-      return (p === GLOBSTAR) ? twoStar
-      : (typeof p === 'string') ? regExpEscape(p)
-      : p._src
-    }).join('\\\/')
-  }).join('|')
-
-  // must match entire pattern
-  // ending in a * or ** will make it less strict.
-  re = '^(?:' + re + ')$'
-
-  // can match anything, as long as it's not this.
-  if (this.negate) re = '^(?!' + re + ').*$'
-
-  try {
-    this.regexp = new RegExp(re, flags)
-  } catch (ex) {
-    this.regexp = false
-  }
-  return this.regexp
-}
-
-minimatch.match = function (list, pattern, options) {
-  options = options || {}
-  var mm = new Minimatch(pattern, options)
-  list = list.filter(function (f) {
-    return mm.match(f)
-  })
-  if (mm.options.nonull && !list.length) {
-    list.push(pattern)
-  }
-  return list
-}
-
-Minimatch.prototype.match = match
-function match (f, partial) {
-  this.debug('match', f, this.pattern)
-  // short-circuit in the case of busted things.
-  // comments, etc.
-  if (this.comment) return false
-  if (this.empty) return f === ''
-
-  if (f === '/' && partial) return true
-
-  var options = this.options
-
-  // windows: need to use /, not \
-  if (path.sep !== '/') {
-    f = f.split(path.sep).join('/')
-  }
-
-  // treat the test path as a set of pathparts.
-  f = f.split(slashSplit)
-  this.debug(this.pattern, 'split', f)
-
-  // just ONE of the pattern sets in this.set needs to match
-  // in order for it to be valid.  If negating, then just one
-  // match means that we have failed.
-  // Either way, return on the first hit.
-
-  var set = this.set
-  this.debug(this.pattern, 'set', set)
-
-  // Find the basename of the path by looking for the last non-empty segment
-  var filename
-  var i
-  for (i = f.length - 1; i >= 0; i--) {
-    filename = f[i]
-    if (filename) break
-  }
-
-  for (i = 0; i < set.length; i++) {
-    var pattern = set[i]
-    var file = f
-    if (options.matchBase && pattern.length === 1) {
-      file = [filename]
-    }
-    var hit = this.matchOne(file, pattern, partial)
-    if (hit) {
-      if (options.flipNegate) return true
-      return !this.negate
-    }
-  }
-
-  // didn't get any hits.  this is success if it's a negative
-  // pattern, failure otherwise.
-  if (options.flipNegate) return false
-  return this.negate
-}
-
-// set partial to true to test if, for example,
-// "/a/b" matches the start of "/*/b/*/d"
-// Partial means, if you run out of file before you run
-// out of pattern, then that's fine, as long as all
-// the parts match.
-Minimatch.prototype.matchOne = function (file, pattern, partial) {
-  var options = this.options
-
-  this.debug('matchOne',
-    { 'this': this, file: file, pattern: pattern })
-
-  this.debug('matchOne', file.length, pattern.length)
-
-  for (var fi = 0,
-      pi = 0,
-      fl = file.length,
-      pl = pattern.length
-      ; (fi < fl) && (pi < pl)
-      ; fi++, pi++) {
-    this.debug('matchOne loop')
-    var p = pattern[pi]
-    var f = file[fi]
-
-    this.debug(pattern, p, f)
-
-    // should be impossible.
-    // some invalid regexp stuff in the set.
-    if (p === false) return false
-
-    if (p === GLOBSTAR) {
-      this.debug('GLOBSTAR', [pattern, p, f])
-
-      // "**"
-      // a/**/b/**/c would match the following:
-      // a/b/x/y/z/c
-      // a/x/y/z/b/c
-      // a/b/x/b/x/c
-      // a/b/c
-      // To do this, take the rest of the pattern after
-      // the **, and see if it would match the file remainder.
-      // If so, return success.
-      // If not, the ** "swallows" a segment, and try again.
-      // This is recursively awful.
-      //
-      // a/**/b/**/c matching a/b/x/y/z/c
-      // - a matches a
-      // - doublestar
-      //   - matchOne(b/x/y/z/c, b/**/c)
-      //     - b matches b
-      //     - doublestar
-      //       - matchOne(x/y/z/c, c) -> no
-      //       - matchOne(y/z/c, c) -> no
-      //       - matchOne(z/c, c) -> no
-      //       - matchOne(c, c) yes, hit
-      var fr = fi
-      var pr = pi + 1
-      if (pr === pl) {
-        this.debug('** at the end')
-        // a ** at the end will just swallow the rest.
-        // We have found a match.
-        // however, it will not swallow /.x, unless
-        // options.dot is set.
-        // . and .. are *never* matched by **, for explosively
-        // exponential reasons.
-        for (; fi < fl; fi++) {
-          if (file[fi] === '.' || file[fi] === '..' ||
-            (!options.dot && file[fi].charAt(0) === '.')) return false
-        }
-        return true
-      }
-
-      // ok, let's see if we can swallow whatever we can.
-      while (fr < fl) {
-        var swallowee = file[fr]
-
-        this.debug('\nglobstar while', file, fr, pattern, pr, swallowee)
-
-        // XXX remove this slice.  Just pass the start index.
-        if (this.matchOne(file.slice(fr), pattern.slice(pr), partial)) {
-          this.debug('globstar found match!', fr, fl, swallowee)
-          // found a match.
-          return true
-        } else {
-          // can't swallow "." or ".." ever.
-          // can only swallow ".foo" when explicitly asked.
-          if (swallowee === '.' || swallowee === '..' ||
-            (!options.dot && swallowee.charAt(0) === '.')) {
-            this.debug('dot detected!', file, fr, pattern, pr)
-            break
-          }
-
-          // ** swallows a segment, and continue.
-          this.debug('globstar swallow a segment, and continue')
-          fr++
-        }
-      }
-
-      // no match was found.
-      // However, in partial mode, we can't say this is necessarily over.
-      // If there's more *pattern* left, then
-      if (partial) {
-        // ran out of file
-        this.debug('\n>>> no match, partial?', file, fr, pattern, pr)
-        if (fr === fl) return true
-      }
-      return false
-    }
-
-    // something other than **
-    // non-magic patterns just have to match exactly
-    // patterns with magic have been turned into regexps.
-    var hit
-    if (typeof p === 'string') {
-      if (options.nocase) {
-        hit = f.toLowerCase() === p.toLowerCase()
-      } else {
-        hit = f === p
-      }
-      this.debug('string match', p, f, hit)
-    } else {
-      hit = f.match(p)
-      this.debug('pattern match', p, f, hit)
-    }
-
-    if (!hit) return false
-  }
-
-  // Note: ending in / means that we'll get a final ""
-  // at the end of the pattern.  This can only match a
-  // corresponding "" at the end of the file.
-  // If the file ends in /, then it can only match a
-  // a pattern that ends in /, unless the pattern just
-  // doesn't have any more for it. But, a/b/ should *not*
-  // match "a/b/*", even though "" matches against the
-  // [^/]*? pattern, except in partial mode, where it might
-  // simply not be reached yet.
-  // However, a/b/ should still satisfy a/*
-
-  // now either we fell off the end of the pattern, or we're done.
-  if (fi === fl && pi === pl) {
-    // ran out of pattern and filename at the same time.
-    // an exact hit!
-    return true
-  } else if (fi === fl) {
-    // ran out of file, but still had pattern left.
-    // this is ok if we're doing the match as part of
-    // a glob fs traversal.
-    return partial
-  } else if (pi === pl) {
-    // ran out of pattern, still have file left.
-    // this is only acceptable if we're on the very last
-    // empty segment of a file with a trailing slash.
-    // a/* should match a/b/
-    var emptyFileEnd = (fi === fl - 1) && (file[fi] === '')
-    return emptyFileEnd
-  }
-
-  // should be unreachable.
-  throw new Error('wtf?')
-}
-
-// replace stuff like \* with *
-function globUnescape (s) {
-  return s.replace(/\\(.)/g, '$1')
-}
-
-function regExpEscape (s) {
-  return s.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, '\\$&')
-}
-
-},{"brace-expansion":11,"path":22}],21:[function(require,module,exports){
-var wrappy = require('wrappy')
-module.exports = wrappy(once)
-module.exports.strict = wrappy(onceStrict)
-
-once.proto = once(function () {
-  Object.defineProperty(Function.prototype, 'once', {
-    value: function () {
-      return once(this)
-    },
-    configurable: true
-  })
-
-  Object.defineProperty(Function.prototype, 'onceStrict', {
-    value: function () {
-      return onceStrict(this)
-    },
-    configurable: true
-  })
-})
-
-function once (fn) {
-  var f = function () {
-    if (f.called) return f.value
-    f.called = true
-    return f.value = fn.apply(this, arguments)
-  }
-  f.called = false
-  return f
-}
-
-function onceStrict (fn) {
-  var f = function () {
-    if (f.called)
-      throw new Error(f.onceError)
-    f.called = true
-    return f.value = fn.apply(this, arguments)
-  }
-  var name = fn.name || 'Function wrapped with `once`'
-  f.onceError = name + " shouldn't be called more than once"
-  f.called = false
-  return f
-}
-
-},{"wrappy":29}],22:[function(require,module,exports){
-(function (process){
-// Copyright Joyent, Inc. and other Node contributors.
-//
-// Permission is hereby granted, free of charge, to any person obtaining a
-// copy of this software and associated documentation files (the
-// "Software"), to deal in the Software without restriction, including
-// without limitation the rights to use, copy, modify, merge, publish,
-// distribute, sublicense, and/or sell copies of the Software, and to permit
-// persons to whom the Software is furnished to do so, subject to the
-// following conditions:
-//
-// The above copyright notice and this permission notice shall be included
-// in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
-// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
-// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
-// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
-// USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-// resolves . and .. elements in a path array with directory names there
-// must be no slashes, empty elements, or device names (c:\) in the array
-// (so also no leading and trailing slashes - it does not distinguish
-// relative and absolute paths)
-function normalizeArray(parts, allowAboveRoot) {
-  // if the path tries to go above the root, `up` ends up > 0
-  var up = 0;
-  for (var i = parts.length - 1; i >= 0; i--) {
-    var last = parts[i];
-    if (last === '.') {
-      parts.splice(i, 1);
-    } else if (last === '..') {
-      parts.splice(i, 1);
-      up++;
-    } else if (up) {
-      parts.splice(i, 1);
-      up--;
-    }
-  }
-
-  // if the path is allowed to go above the root, restore leading ..s
-  if (allowAboveRoot) {
-    for (; up--; up) {
-      parts.unshift('..');
-    }
-  }
-
-  return parts;
-}
-
-// Split a filename into [root, dir, basename, ext], unix version
-// 'root' is just a slash, or nothing.
-var splitPathRe =
-    /^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;
-var splitPath = function(filename) {
-  return splitPathRe.exec(filename).slice(1);
-};
-
-// path.resolve([from ...], to)
-// posix version
-exports.resolve = function() {
-  var resolvedPath = '',
-      resolvedAbsolute = false;
-
-  for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) {
-    var path = (i >= 0) ? arguments[i] : process.cwd();
-
-    // Skip empty and invalid entries
-    if (typeof path !== 'string') {
-      throw new TypeError('Arguments to path.resolve must be strings');
-    } else if (!path) {
-      continue;
-    }
-
-    resolvedPath = path + '/' + resolvedPath;
-    resolvedAbsolute = path.charAt(0) === '/';
-  }
-
-  // At this point the path should be resolved to a full absolute path, but
-  // handle relative paths to be safe (might happen when process.cwd() fails)
-
-  // Normalize the path
-  resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) {
-    return !!p;
-  }), !resolvedAbsolute).join('/');
-
-  return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.';
-};
-
-// path.normalize(path)
-// posix version
-exports.normalize = function(path) {
-  var isAbsolute = exports.isAbsolute(path),
-      trailingSlash = substr(path, -1) === '/';
-
-  // Normalize the path
-  path = normalizeArray(filter(path.split('/'), function(p) {
-    return !!p;
-  }), !isAbsolute).join('/');
-
-  if (!path && !isAbsolute) {
-    path = '.';
-  }
-  if (path && trailingSlash) {
-    path += '/';
-  }
-
-  return (isAbsolute ? '/' : '') + path;
-};
-
-// posix version
-exports.isAbsolute = function(path) {
-  return path.charAt(0) === '/';
-};
-
-// posix version
-exports.join = function() {
-  var paths = Array.prototype.slice.call(arguments, 0);
-  return exports.normalize(filter(paths, function(p, index) {
-    if (typeof p !== 'string') {
-      throw new TypeError('Arguments to path.join must be strings');
-    }
-    return p;
-  }).join('/'));
-};
-
-
-// path.relative(from, to)
-// posix version
-exports.relative = function(from, to) {
-  from = exports.resolve(from).substr(1);
-  to = exports.resolve(to).substr(1);
-
-  function trim(arr) {
-    var start = 0;
-    for (; start < arr.length; start++) {
-      if (arr[start] !== '') break;
-    }
-
-    var end = arr.length - 1;
-    for (; end >= 0; end--) {
-      if (arr[end] !== '') break;
-    }
-
-    if (start > end) return [];
-    return arr.slice(start, end - start + 1);
-  }
-
-  var fromParts = trim(from.split('/'));
-  var toParts = trim(to.split('/'));
-
-  var length = Math.min(fromParts.length, toParts.length);
-  var samePartsLength = length;
-  for (var i = 0; i < length; i++) {
-    if (fromParts[i] !== toParts[i]) {
-      samePartsLength = i;
-      break;
-    }
-  }
-
-  var outputParts = [];
-  for (var i = samePartsLength; i < fromParts.length; i++) {
-    outputParts.push('..');
-  }
-
-  outputParts = outputParts.concat(toParts.slice(samePartsLength));
-
-  return outputParts.join('/');
-};
-
-exports.sep = '/';
-exports.delimiter = ':';
-
-exports.dirname = function(path) {
-  var result = splitPath(path),
-      root = result[0],
-      dir = result[1];
-
-  if (!root && !dir) {
-    // No dirname whatsoever
-    return '.';
-  }
-
-  if (dir) {
-    // It has a dirname, strip trailing slash
-    dir = dir.substr(0, dir.length - 1);
-  }
-
-  return root + dir;
-};
-
-
-exports.basename = function(path, ext) {
-  var f = splitPath(path)[2];
-  // TODO: make this comparison case-insensitive on windows?
-  if (ext && f.substr(-1 * ext.length) === ext) {
-    f = f.substr(0, f.length - ext.length);
-  }
-  return f;
-};
-
-
-exports.extname = function(path) {
-  return splitPath(path)[3];
-};
-
-function filter (xs, f) {
-    if (xs.filter) return xs.filter(f);
-    var res = [];
-    for (var i = 0; i < xs.length; i++) {
-        if (f(xs[i], i, xs)) res.push(xs[i]);
-    }
-    return res;
-}
-
-// String.prototype.substr - negative index don't work in IE8
-var substr = 'ab'.substr(-1) === 'b'
-    ? function (str, start, len) { return str.substr(start, len) }
-    : function (str, start, len) {
-        if (start < 0) start = str.length + start;
-        return str.substr(start, len);
-    }
-;
-
-}).call(this,require('_process'))
-},{"_process":24}],23:[function(require,module,exports){
-(function (process){
-'use strict';
-
-function posix(path) {
-	return path.charAt(0) === '/';
-}
-
-function win32(path) {
-	// https://github.com/nodejs/node/blob/b3fcc245fb25539909ef1d5eaa01dbf92e168633/lib/path.js#L56
-	var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/;
-	var result = splitDeviceRe.exec(path);
-	var device = result[1] || '';
-	var isUnc = Boolean(device && device.charAt(1) !== ':');
-
-	// UNC paths are always absolute
-	return Boolean(result[2] || isUnc);
-}
-
-module.exports = process.platform === 'win32' ? win32 : posix;
-module.exports.posix = posix;
-module.exports.win32 = win32;
-
-}).call(this,require('_process'))
-},{"_process":24}],24:[function(require,module,exports){
-// shim for using process in browser
-var process = module.exports = {};
-
-// cached from whatever global is present so that test runners that stub it
-// don't break things.  But we need to wrap it in a try catch in case it is
-// wrapped in strict mode code which doesn't define any globals.  It's inside a
-// function because try/catches deoptimize in certain engines.
-
-var cachedSetTimeout;
-var cachedClearTimeout;
-
-function defaultSetTimout() {
-    throw new Error('setTimeout has not been defined');
-}
-function defaultClearTimeout () {
-    throw new Error('clearTimeout has not been defined');
-}
-(function () {
-    try {
-        if (typeof setTimeout === 'function') {
-            cachedSetTimeout = setTimeout;
-        } else {
-            cachedSetTimeout = defaultSetTimout;
-        }
-    } catch (e) {
-        cachedSetTimeout = defaultSetTimout;
-    }
-    try {
-        if (typeof clearTimeout === 'function') {
-            cachedClearTimeout = clearTimeout;
-        } else {
-            cachedClearTimeout = defaultClearTimeout;
-        }
-    } catch (e) {
-        cachedClearTimeout = defaultClearTimeout;
-    }
-} ())
-function runTimeout(fun) {
-    if (cachedSetTimeout === setTimeout) {
-        //normal enviroments in sane situations
-        return setTimeout(fun, 0);
-    }
-    // if setTimeout wasn't available but was latter defined
-    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {
-        cachedSetTimeout = setTimeout;
-        return setTimeout(fun, 0);
-    }
-    try {
-        // when when somebody has screwed with setTimeout but no I.E. maddness
-        return cachedSetTimeout(fun, 0);
-    } catch(e){
-        try {
-            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally
-            return cachedSetTimeout.call(null, fun, 0);
-        } catch(e){
-            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error
-            return cachedSetTimeout.call(this, fun, 0);
-        }
-    }
-
-
-}
-function runClearTimeout(marker) {
-    if (cachedClearTimeout === clearTimeout) {
-        //normal enviroments in sane situations
-        return clearTimeout(marker);
-    }
-    // if clearTimeout wasn't available but was latter defined
-    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {
-        cachedClearTimeout = clearTimeout;
-        return clearTimeout(marker);
-    }
-    try {
-        // when when somebody has screwed with setTimeout but no I.E. maddness
-        return cachedClearTimeout(marker);
-    } catch (e){
-        try {
-            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally
-            return cachedClearTimeout.call(null, marker);
-        } catch (e){
-            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.
-            // Some versions of I.E. have different rules for clearTimeout vs setTimeout
-            return cachedClearTimeout.call(this, marker);
-        }
-    }
-
-
-
-}
-var queue = [];
-var draining = false;
-var currentQueue;
-var queueIndex = -1;
-
-function cleanUpNextTick() {
-    if (!draining || !currentQueue) {
-        return;
-    }
-    draining = false;
-    if (currentQueue.length) {
-        queue = currentQueue.concat(queue);
-    } else {
-        queueIndex = -1;
-    }
-    if (queue.length) {
-        drainQueue();
-    }
-}
-
-function drainQueue() {
-    if (draining) {
-        return;
-    }
-    var timeout = runTimeout(cleanUpNextTick);
-    draining = true;
-
-    var len = queue.length;
-    while(len) {
-        currentQueue = queue;
-        queue = [];
-        while (++queueIndex < len) {
-            if (currentQueue) {
-                currentQueue[queueIndex].run();
-            }
-        }
-        queueIndex = -1;
-        len = queue.length;
-    }
-    currentQueue = null;
-    draining = false;
-    runClearTimeout(timeout);
-}
-
-process.nextTick = function (fun) {
-    var args = new Array(arguments.length - 1);
-    if (arguments.length > 1) {
-        for (var i = 1; i < arguments.length; i++) {
-            args[i - 1] = arguments[i];
-        }
-    }
-    queue.push(new Item(fun, args));
-    if (queue.length === 1 && !draining) {
-        runTimeout(drainQueue);
-    }
-};
-
-// v8 likes predictible objects
-function Item(fun, array) {
-    this.fun = fun;
-    this.array = array;
-}
-Item.prototype.run = function () {
-    this.fun.apply(null, this.array);
-};
-process.title = 'browser';
-process.browser = true;
-process.env = {};
-process.argv = [];
-process.version = ''; // empty string to avoid regexp issues
-process.versions = {};
-
-function noop() {}
-
-process.on = noop;
-process.addListener = noop;
-process.once = noop;
-process.off = noop;
-process.removeListener = noop;
-process.removeAllListeners = noop;
-process.emit = noop;
-process.prependListener = noop;
-process.prependOnceListener = noop;
-
-process.listeners = function (name) { return [] }
-
-process.binding = function (name) {
-    throw new Error('process.binding is not supported');
-};
-
-process.cwd = function () { return '/' };
-process.chdir = function (dir) {
-    throw new Error('process.chdir is not supported');
-};
-process.umask = function() { return 0; };
-
-},{}],25:[function(require,module,exports){
-//     Underscore.js 1.8.3
-//     http://underscorejs.org
-//     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
-//     Underscore may be freely distributed under the MIT license.
-
-(function() {
-
-  // Baseline setup
-  // --------------
-
-  // Establish the root object, `window` in the browser, or `exports` on the server.
-  var root = this;
-
-  // Save the previous value of the `_` variable.
-  var previousUnderscore = root._;
-
-  // Save bytes in the minified (but not gzipped) version:
-  var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype;
-
-  // Create quick reference variables for speed access to core prototypes.
-  var
-    push             = ArrayProto.push,
-    slice            = ArrayProto.slice,
-    toString         = ObjProto.toString,
-    hasOwnProperty   = ObjProto.hasOwnProperty;
-
-  // All **ECMAScript 5** native function implementations that we hope to use
-  // are declared here.
-  var
-    nativeIsArray      = Array.isArray,
-    nativeKeys         = Object.keys,
-    nativeBind         = FuncProto.bind,
-    nativeCreate       = Object.create;
-
-  // Naked function reference for surrogate-prototype-swapping.
-  var Ctor = function(){};
-
-  // Create a safe reference to the Underscore object for use below.
-  var _ = function(obj) {
-    if (obj instanceof _) return obj;
-    if (!(this instanceof _)) return new _(obj);
-    this._wrapped = obj;
-  };
-
-  // Export the Underscore object for **Node.js**, with
-  // backwards-compatibility for the old `require()` API. If we're in
-  // the browser, add `_` as a global object.
-  if (typeof exports !== 'undefined') {
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = _;
-    }
-    exports._ = _;
-  } else {
-    root._ = _;
-  }
-
-  // Current version.
-  _.VERSION = '1.8.3';
-
-  // Internal function that returns an efficient (for current engines) version
-  // of the passed-in callback, to be repeatedly applied in other Underscore
-  // functions.
-  var optimizeCb = function(func, context, argCount) {
-    if (context === void 0) return func;
-    switch (argCount == null ? 3 : argCount) {
-      case 1: return function(value) {
-        return func.call(context, value);
-      };
-      case 2: return function(value, other) {
-        return func.call(context, value, other);
-      };
-      case 3: return function(value, index, collection) {
-        return func.call(context, value, index, collection);
-      };
-      case 4: return function(accumulator, value, index, collection) {
-        return func.call(context, accumulator, value, index, collection);
-      };
-    }
-    return function() {
-      return func.apply(context, arguments);
-    };
-  };
-
-  // A mostly-internal function to generate callbacks that can be applied
-  // to each element in a collection, returning the desired result — either
-  // identity, an arbitrary callback, a property matcher, or a property accessor.
-  var cb = function(value, context, argCount) {
-    if (value == null) return _.identity;
-    if (_.isFunction(value)) return optimizeCb(value, context, argCount);
-    if (_.isObject(value)) return _.matcher(value);
-    return _.property(value);
-  };
-  _.iteratee = function(value, context) {
-    return cb(value, context, Infinity);
-  };
-
-  // An internal function for creating assigner functions.
-  var createAssigner = function(keysFunc, undefinedOnly) {
-    return function(obj) {
-      var length = arguments.length;
-      if (length < 2 || obj == null) return obj;
-      for (var index = 1; index < length; index++) {
-        var source = arguments[index],
-            keys = keysFunc(source),
-            l = keys.length;
-        for (var i = 0; i < l; i++) {
-          var key = keys[i];
-          if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key];
-        }
-      }
-      return obj;
-    };
-  };
-
-  // An internal function for creating a new object that inherits from another.
-  var baseCreate = function(prototype) {
-    if (!_.isObject(prototype)) return {};
-    if (nativeCreate) return nativeCreate(prototype);
-    Ctor.prototype = prototype;
-    var result = new Ctor;
-    Ctor.prototype = null;
-    return result;
-  };
-
-  var property = function(key) {
-    return function(obj) {
-      return obj == null ? void 0 : obj[key];
-    };
-  };
-
-  // Helper for collection methods to determine whether a collection
-  // should be iterated as an array or as an object
-  // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
-  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
-  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
-  var getLength = property('length');
-  var isArrayLike = function(collection) {
-    var length = getLength(collection);
-    return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX;
-  };
-
-  // Collection Functions
-  // --------------------
-
-  // The cornerstone, an `each` implementation, aka `forEach`.
-  // Handles raw objects in addition to array-likes. Treats all
-  // sparse array-likes as if they were dense.
-  _.each = _.forEach = function(obj, iteratee, context) {
-    iteratee = optimizeCb(iteratee, context);
-    var i, length;
-    if (isArrayLike(obj)) {
-      for (i = 0, length = obj.length; i < length; i++) {
-        iteratee(obj[i], i, obj);
-      }
-    } else {
-      var keys = _.keys(obj);
-      for (i = 0, length = keys.length; i < length; i++) {
-        iteratee(obj[keys[i]], keys[i], obj);
-      }
-    }
-    return obj;
-  };
-
-  // Return the results of applying the iteratee to each element.
-  _.map = _.collect = function(obj, iteratee, context) {
-    iteratee = cb(iteratee, context);
-    var keys = !isArrayLike(obj) && _.keys(obj),
-        length = (keys || obj).length,
-        results = Array(length);
-    for (var index = 0; index < length; index++) {
-      var currentKey = keys ? keys[index] : index;
-      results[index] = iteratee(obj[currentKey], currentKey, obj);
-    }
-    return results;
-  };
-
-  // Create a reducing function iterating left or right.
-  function createReduce(dir) {
-    // Optimized iterator function as using arguments.length
-    // in the main function will deoptimize the, see #1991.
-    function iterator(obj, iteratee, memo, keys, index, length) {
-      for (; index >= 0 && index < length; index += dir) {
-        var currentKey = keys ? keys[index] : index;
-        memo = iteratee(memo, obj[currentKey], currentKey, obj);
-      }
-      return memo;
-    }
-
-    return function(obj, iteratee, memo, context) {
-      iteratee = optimizeCb(iteratee, context, 4);
-      var keys = !isArrayLike(obj) && _.keys(obj),
-          length = (keys || obj).length,
-          index = dir > 0 ? 0 : length - 1;
-      // Determine the initial value if none is provided.
-      if (arguments.length < 3) {
-        memo = obj[keys ? keys[index] : index];
-        index += dir;
-      }
-      return iterator(obj, iteratee, memo, keys, index, length);
-    };
-  }
-
-  // **Reduce** builds up a single result from a list of values, aka `inject`,
-  // or `foldl`.
-  _.reduce = _.foldl = _.inject = createReduce(1);
-
-  // The right-associative version of reduce, also known as `foldr`.
-  _.reduceRight = _.foldr = createReduce(-1);
-
-  // Return the first value which passes a truth test. Aliased as `detect`.
-  _.find = _.detect = function(obj, predicate, context) {
-    var key;
-    if (isArrayLike(obj)) {
-      key = _.findIndex(obj, predicate, context);
-    } else {
-      key = _.findKey(obj, predicate, context);
-    }
-    if (key !== void 0 && key !== -1) return obj[key];
-  };
-
-  // Return all the elements that pass a truth test.
-  // Aliased as `select`.
-  _.filter = _.select = function(obj, predicate, context) {
-    var results = [];
-    predicate = cb(predicate, context);
-    _.each(obj, function(value, index, list) {
-      if (predicate(value, index, list)) results.push(value);
-    });
-    return results;
-  };
-
-  // Return all the elements for which a truth test fails.
-  _.reject = function(obj, predicate, context) {
-    return _.filter(obj, _.negate(cb(predicate)), context);
-  };
-
-  // Determine whether all of the elements match a truth test.
-  // Aliased as `all`.
-  _.every = _.all = function(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var keys = !isArrayLike(obj) && _.keys(obj),
-        length = (keys || obj).length;
-    for (var index = 0; index < length; index++) {
-      var currentKey = keys ? keys[index] : index;
-      if (!predicate(obj[currentKey], currentKey, obj)) return false;
-    }
-    return true;
-  };
-
-  // Determine if at least one element in the object matches a truth test.
-  // Aliased as `any`.
-  _.some = _.any = function(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var keys = !isArrayLike(obj) && _.keys(obj),
-        length = (keys || obj).length;
-    for (var index = 0; index < length; index++) {
-      var currentKey = keys ? keys[index] : index;
-      if (predicate(obj[currentKey], currentKey, obj)) return true;
-    }
-    return false;
-  };
-
-  // Determine if the array or object contains a given item (using `===`).
-  // Aliased as `includes` and `include`.
-  _.contains = _.includes = _.include = function(obj, item, fromIndex, guard) {
-    if (!isArrayLike(obj)) obj = _.values(obj);
-    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
-    return _.indexOf(obj, item, fromIndex) >= 0;
-  };
-
-  // Invoke a method (with arguments) on every item in a collection.
-  _.invoke = function(obj, method) {
-    var args = slice.call(arguments, 2);
-    var isFunc = _.isFunction(method);
-    return _.map(obj, function(value) {
-      var func = isFunc ? method : value[method];
-      return func == null ? func : func.apply(value, args);
-    });
-  };
-
-  // Convenience version of a common use case of `map`: fetching a property.
-  _.pluck = function(obj, key) {
-    return _.map(obj, _.property(key));
-  };
-
-  // Convenience version of a common use case of `filter`: selecting only objects
-  // containing specific `key:value` pairs.
-  _.where = function(obj, attrs) {
-    return _.filter(obj, _.matcher(attrs));
-  };
-
-  // Convenience version of a common use case of `find`: getting the first object
-  // containing specific `key:value` pairs.
-  _.findWhere = function(obj, attrs) {
-    return _.find(obj, _.matcher(attrs));
-  };
-
-  // Return the maximum element (or element-based computation).
-  _.max = function(obj, iteratee, context) {
-    var result = -Infinity, lastComputed = -Infinity,
-        value, computed;
-    if (iteratee == null && obj != null) {
-      obj = isArrayLike(obj) ? obj : _.values(obj);
-      for (var i = 0, length = obj.length; i < length; i++) {
-        value = obj[i];
-        if (value > result) {
-          result = value;
-        }
-      }
-    } else {
-      iteratee = cb(iteratee, context);
-      _.each(obj, function(value, index, list) {
-        computed = iteratee(value, index, list);
-        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
-          result = value;
-          lastComputed = computed;
-        }
-      });
-    }
-    return result;
-  };
-
-  // Return the minimum element (or element-based computation).
-  _.min = function(obj, iteratee, context) {
-    var result = Infinity, lastComputed = Infinity,
-        value, computed;
-    if (iteratee == null && obj != null) {
-      obj = isArrayLike(obj) ? obj : _.values(obj);
-      for (var i = 0, length = obj.length; i < length; i++) {
-        value = obj[i];
-        if (value < result) {
-          result = value;
-        }
-      }
-    } else {
-      iteratee = cb(iteratee, context);
-      _.each(obj, function(value, index, list) {
-        computed = iteratee(value, index, list);
-        if (computed < lastComputed || computed === Infinity && result === Infinity) {
-          result = value;
-          lastComputed = computed;
-        }
-      });
-    }
-    return result;
-  };
-
-  // Shuffle a collection, using the modern version of the
-  // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
-  _.shuffle = function(obj) {
-    var set = isArrayLike(obj) ? obj : _.values(obj);
-    var length = set.length;
-    var shuffled = Array(length);
-    for (var index = 0, rand; index < length; index++) {
-      rand = _.random(0, index);
-      if (rand !== index) shuffled[index] = shuffled[rand];
-      shuffled[rand] = set[index];
-    }
-    return shuffled;
-  };
-
-  // Sample **n** random values from a collection.
-  // If **n** is not specified, returns a single random element.
-  // The internal `guard` argument allows it to work with `map`.
-  _.sample = function(obj, n, guard) {
-    if (n == null || guard) {
-      if (!isArrayLike(obj)) obj = _.values(obj);
-      return obj[_.random(obj.length - 1)];
-    }
-    return _.shuffle(obj).slice(0, Math.max(0, n));
-  };
-
-  // Sort the object's values by a criterion produced by an iteratee.
-  _.sortBy = function(obj, iteratee, context) {
-    iteratee = cb(iteratee, context);
-    return _.pluck(_.map(obj, function(value, index, list) {
-      return {
-        value: value,
-        index: index,
-        criteria: iteratee(value, index, list)
-      };
-    }).sort(function(left, right) {
-      var a = left.criteria;
-      var b = right.criteria;
-      if (a !== b) {
-        if (a > b || a === void 0) return 1;
-        if (a < b || b === void 0) return -1;
-      }
-      return left.index - right.index;
-    }), 'value');
-  };
-
-  // An internal function used for aggregate "group by" operations.
-  var group = function(behavior) {
-    return function(obj, iteratee, context) {
-      var result = {};
-      iteratee = cb(iteratee, context);
-      _.each(obj, function(value, index) {
-        var key = iteratee(value, index, obj);
-        behavior(result, value, key);
-      });
-      return result;
-    };
-  };
-
-  // Groups the object's values by a criterion. Pass either a string attribute
-  // to group by, or a function that returns the criterion.
-  _.groupBy = group(function(result, value, key) {
-    if (_.has(result, key)) result[key].push(value); else result[key] = [value];
-  });
-
-  // Indexes the object's values by a criterion, similar to `groupBy`, but for
-  // when you know that your index values will be unique.
-  _.indexBy = group(function(result, value, key) {
-    result[key] = value;
-  });
-
-  // Counts instances of an object that group by a certain criterion. Pass
-  // either a string attribute to count by, or a function that returns the
-  // criterion.
-  _.countBy = group(function(result, value, key) {
-    if (_.has(result, key)) result[key]++; else result[key] = 1;
-  });
-
-  // Safely create a real, live array from anything iterable.
-  _.toArray = function(obj) {
-    if (!obj) return [];
-    if (_.isArray(obj)) return slice.call(obj);
-    if (isArrayLike(obj)) return _.map(obj, _.identity);
-    return _.values(obj);
-  };
-
-  // Return the number of elements in an object.
-  _.size = function(obj) {
-    if (obj == null) return 0;
-    return isArrayLike(obj) ? obj.length : _.keys(obj).length;
-  };
-
-  // Split a collection into two arrays: one whose elements all satisfy the given
-  // predicate, and one whose elements all do not satisfy the predicate.
-  _.partition = function(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var pass = [], fail = [];
-    _.each(obj, function(value, key, obj) {
-      (predicate(value, key, obj) ? pass : fail).push(value);
-    });
-    return [pass, fail];
-  };
-
-  // Array Functions
-  // ---------------
-
-  // Get the first element of an array. Passing **n** will return the first N
-  // values in the array. Aliased as `head` and `take`. The **guard** check
-  // allows it to work with `_.map`.
-  _.first = _.head = _.take = function(array, n, guard) {
-    if (array == null) return void 0;
-    if (n == null || guard) return array[0];
-    return _.initial(array, array.length - n);
-  };
-
-  // Returns everything but the last entry of the array. Especially useful on
-  // the arguments object. Passing **n** will return all the values in
-  // the array, excluding the last N.
-  _.initial = function(array, n, guard) {
-    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
-  };
-
-  // Get the last element of an array. Passing **n** will return the last N
-  // values in the array.
-  _.last = function(array, n, guard) {
-    if (array == null) return void 0;
-    if (n == null || guard) return array[array.length - 1];
-    return _.rest(array, Math.max(0, array.length - n));
-  };
-
-  // Returns everything but the first entry of the array. Aliased as `tail` and `drop`.
-  // Especially useful on the arguments object. Passing an **n** will return
-  // the rest N values in the array.
-  _.rest = _.tail = _.drop = function(array, n, guard) {
-    return slice.call(array, n == null || guard ? 1 : n);
-  };
-
-  // Trim out all falsy values from an array.
-  _.compact = function(array) {
-    return _.filter(array, _.identity);
-  };
-
-  // Internal implementation of a recursive `flatten` function.
-  var flatten = function(input, shallow, strict, startIndex) {
-    var output = [], idx = 0;
-    for (var i = startIndex || 0, length = getLength(input); i < length; i++) {
-      var value = input[i];
-      if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) {
-        //flatten current level of array or arguments object
-        if (!shallow) value = flatten(value, shallow, strict);
-        var j = 0, len = value.length;
-        output.length += len;
-        while (j < len) {
-          output[idx++] = value[j++];
-        }
-      } else if (!strict) {
-        output[idx++] = value;
-      }
-    }
-    return output;
-  };
-
-  // Flatten out an array, either recursively (by default), or just one level.
-  _.flatten = function(array, shallow) {
-    return flatten(array, shallow, false);
-  };
-
-  // Return a version of the array that does not contain the specified value(s).
-  _.without = function(array) {
-    return _.difference(array, slice.call(arguments, 1));
-  };
-
-  // Produce a duplicate-free version of the array. If the array has already
-  // been sorted, you have the option of using a faster algorithm.
-  // Aliased as `unique`.
-  _.uniq = _.unique = function(array, isSorted, iteratee, context) {
-    if (!_.isBoolean(isSorted)) {
-      context = iteratee;
-      iteratee = isSorted;
-      isSorted = false;
-    }
-    if (iteratee != null) iteratee = cb(iteratee, context);
-    var result = [];
-    var seen = [];
-    for (var i = 0, length = getLength(array); i < length; i++) {
-      var value = array[i],
-          computed = iteratee ? iteratee(value, i, array) : value;
-      if (isSorted) {
-        if (!i || seen !== computed) result.push(value);
-        seen = computed;
-      } else if (iteratee) {
-        if (!_.contains(seen, computed)) {
-          seen.push(computed);
-          result.push(value);
-        }
-      } else if (!_.contains(result, value)) {
-        result.push(value);
-      }
-    }
-    return result;
-  };
-
-  // Produce an array that contains the union: each distinct element from all of
-  // the passed-in arrays.
-  _.union = function() {
-    return _.uniq(flatten(arguments, true, true));
-  };
-
-  // Produce an array that contains every item shared between all the
-  // passed-in arrays.
-  _.intersection = function(array) {
-    var result = [];
-    var argsLength = arguments.length;
-    for (var i = 0, length = getLength(array); i < length; i++) {
-      var item = array[i];
-      if (_.contains(result, item)) continue;
-      for (var j = 1; j < argsLength; j++) {
-        if (!_.contains(arguments[j], item)) break;
-      }
-      if (j === argsLength) result.push(item);
-    }
-    return result;
-  };
-
-  // Take the difference between one array and a number of other arrays.
-  // Only the elements present in just the first array will remain.
-  _.difference = function(array) {
-    var rest = flatten(arguments, true, true, 1);
-    return _.filter(array, function(value){
-      return !_.contains(rest, value);
-    });
-  };
-
-  // Zip together multiple lists into a single array -- elements that share
-  // an index go together.
-  _.zip = function() {
-    return _.unzip(arguments);
-  };
-
-  // Complement of _.zip. Unzip accepts an array of arrays and groups
-  // each array's elements on shared indices
-  _.unzip = function(array) {
-    var length = array && _.max(array, getLength).length || 0;
-    var result = Array(length);
-
-    for (var index = 0; index < length; index++) {
-      result[index] = _.pluck(array, index);
-    }
-    return result;
-  };
-
-  // Converts lists into objects. Pass either a single array of `[key, value]`
-  // pairs, or two parallel arrays of the same length -- one of keys, and one of
-  // the corresponding values.
-  _.object = function(list, values) {
-    var result = {};
-    for (var i = 0, length = getLength(list); i < length; i++) {
-      if (values) {
-        result[list[i]] = values[i];
-      } else {
-        result[list[i][0]] = list[i][1];
-      }
-    }
-    return result;
-  };
-
-  // Generator function to create the findIndex and findLastIndex functions
-  function createPredicateIndexFinder(dir) {
-    return function(array, predicate, context) {
-      predicate = cb(predicate, context);
-      var length = getLength(array);
-      var index = dir > 0 ? 0 : length - 1;
-      for (; index >= 0 && index < length; index += dir) {
-        if (predicate(array[index], index, array)) return index;
-      }
-      return -1;
-    };
-  }
-
-  // Returns the first index on an array-like that passes a predicate test
-  _.findIndex = createPredicateIndexFinder(1);
-  _.findLastIndex = createPredicateIndexFinder(-1);
-
-  // Use a comparator function to figure out the smallest index at which
-  // an object should be inserted so as to maintain order. Uses binary search.
-  _.sortedIndex = function(array, obj, iteratee, context) {
-    iteratee = cb(iteratee, context, 1);
-    var value = iteratee(obj);
-    var low = 0, high = getLength(array);
-    while (low < high) {
-      var mid = Math.floor((low + high) / 2);
-      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
-    }
-    return low;
-  };
-
-  // Generator function to create the indexOf and lastIndexOf functions
-  function createIndexFinder(dir, predicateFind, sortedIndex) {
-    return function(array, item, idx) {
-      var i = 0, length = getLength(array);
-      if (typeof idx == 'number') {
-        if (dir > 0) {
-            i = idx >= 0 ? idx : Math.max(idx + length, i);
-        } else {
-            length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
-        }
-      } else if (sortedIndex && idx && length) {
-        idx = sortedIndex(array, item);
-        return array[idx] === item ? idx : -1;
-      }
-      if (item !== item) {
-        idx = predicateFind(slice.call(array, i, length), _.isNaN);
-        return idx >= 0 ? idx + i : -1;
-      }
-      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
-        if (array[idx] === item) return idx;
-      }
-      return -1;
-    };
-  }
-
-  // Return the position of the first occurrence of an item in an array,
-  // or -1 if the item is not included in the array.
-  // If the array is large and already in sort order, pass `true`
-  // for **isSorted** to use binary search.
-  _.indexOf = createIndexFinder(1, _.findIndex, _.sortedIndex);
-  _.lastIndexOf = createIndexFinder(-1, _.findLastIndex);
-
-  // Generate an integer Array containing an arithmetic progression. A port of
-  // the native Python `range()` function. See
-  // [the Python documentation](http://docs.python.org/library/functions.html#range).
-  _.range = function(start, stop, step) {
-    if (stop == null) {
-      stop = start || 0;
-      start = 0;
-    }
-    step = step || 1;
-
-    var length = Math.max(Math.ceil((stop - start) / step), 0);
-    var range = Array(length);
-
-    for (var idx = 0; idx < length; idx++, start += step) {
-      range[idx] = start;
-    }
-
-    return range;
-  };
-
-  // Function (ahem) Functions
-  // ------------------
-
-  // Determines whether to execute a function as a constructor
-  // or a normal function with the provided arguments
-  var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) {
-    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
-    var self = baseCreate(sourceFunc.prototype);
-    var result = sourceFunc.apply(self, args);
-    if (_.isObject(result)) return result;
-    return self;
-  };
-
-  // Create a function bound to a given object (assigning `this`, and arguments,
-  // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if
-  // available.
-  _.bind = function(func, context) {
-    if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1));
-    if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function');
-    var args = slice.call(arguments, 2);
-    var bound = function() {
-      return executeBound(func, bound, context, this, args.concat(slice.call(arguments)));
-    };
-    return bound;
-  };
-
-  // Partially apply a function by creating a version that has had some of its
-  // arguments pre-filled, without changing its dynamic `this` context. _ acts
-  // as a placeholder, allowing any combination of arguments to be pre-filled.
-  _.partial = function(func) {
-    var boundArgs = slice.call(arguments, 1);
-    var bound = function() {
-      var position = 0, length = boundArgs.length;
-      var args = Array(length);
-      for (var i = 0; i < length; i++) {
-        args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i];
-      }
-      while (position < arguments.length) args.push(arguments[position++]);
-      return executeBound(func, bound, this, this, args);
-    };
-    return bound;
-  };
-
-  // Bind a number of an object's methods to that object. Remaining arguments
-  // are the method names to be bound. Useful for ensuring that all callbacks
-  // defined on an object belong to it.
-  _.bindAll = function(obj) {
-    var i, length = arguments.length, key;
-    if (length <= 1) throw new Error('bindAll must be passed function names');
-    for (i = 1; i < length; i++) {
-      key = arguments[i];
-      obj[key] = _.bind(obj[key], obj);
-    }
-    return obj;
-  };
-
-  // Memoize an expensive function by storing its results.
-  _.memoize = function(func, hasher) {
-    var memoize = function(key) {
-      var cache = memoize.cache;
-      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
-      if (!_.has(cache, address)) cache[address] = func.apply(this, arguments);
-      return cache[address];
-    };
-    memoize.cache = {};
-    return memoize;
-  };
-
-  // Delays a function for the given number of milliseconds, and then calls
-  // it with the arguments supplied.
-  _.delay = function(func, wait) {
-    var args = slice.call(arguments, 2);
-    return setTimeout(function(){
-      return func.apply(null, args);
-    }, wait);
-  };
-
-  // Defers a function, scheduling it to run after the current call stack has
-  // cleared.
-  _.defer = _.partial(_.delay, _, 1);
-
-  // Returns a function, that, when invoked, will only be triggered at most once
-  // during a given window of time. Normally, the throttled function will run
-  // as much as it can, without ever going more than once per `wait` duration;
-  // but if you'd like to disable the execution on the leading edge, pass
-  // `{leading: false}`. To disable execution on the trailing edge, ditto.
-  _.throttle = function(func, wait, options) {
-    var context, args, result;
-    var timeout = null;
-    var previous = 0;
-    if (!options) options = {};
-    var later = function() {
-      previous = options.leading === false ? 0 : _.now();
-      timeout = null;
-      result = func.apply(context, args);
-      if (!timeout) context = args = null;
-    };
-    return function() {
-      var now = _.now();
-      if (!previous && options.leading === false) previous = now;
-      var remaining = wait - (now - previous);
-      context = this;
-      args = arguments;
-      if (remaining <= 0 || remaining > wait) {
-        if (timeout) {
-          clearTimeout(timeout);
-          timeout = null;
-        }
-        previous = now;
-        result = func.apply(context, args);
-        if (!timeout) context = args = null;
-      } else if (!timeout && options.trailing !== false) {
-        timeout = setTimeout(later, remaining);
-      }
-      return result;
-    };
-  };
-
-  // Returns a function, that, as long as it continues to be invoked, will not
-  // be triggered. The function will be called after it stops being called for
-  // N milliseconds. If `immediate` is passed, trigger the function on the
-  // leading edge, instead of the trailing.
-  _.debounce = function(func, wait, immediate) {
-    var timeout, args, context, timestamp, result;
-
-    var later = function() {
-      var last = _.now() - timestamp;
-
-      if (last < wait && last >= 0) {
-        timeout = setTimeout(later, wait - last);
-      } else {
-        timeout = null;
-        if (!immediate) {
-          result = func.apply(context, args);
-          if (!timeout) context = args = null;
-        }
-      }
-    };
-
-    return function() {
-      context = this;
-      args = arguments;
-      timestamp = _.now();
-      var callNow = immediate && !timeout;
-      if (!timeout) timeout = setTimeout(later, wait);
-      if (callNow) {
-        result = func.apply(context, args);
-        context = args = null;
-      }
-
-      return result;
-    };
-  };
-
-  // Returns the first function passed as an argument to the second,
-  // allowing you to adjust arguments, run code before and after, and
-  // conditionally execute the original function.
-  _.wrap = function(func, wrapper) {
-    return _.partial(wrapper, func);
-  };
-
-  // Returns a negated version of the passed-in predicate.
-  _.negate = function(predicate) {
-    return function() {
-      return !predicate.apply(this, arguments);
-    };
-  };
-
-  // Returns a function that is the composition of a list of functions, each
-  // consuming the return value of the function that follows.
-  _.compose = function() {
-    var args = arguments;
-    var start = args.length - 1;
-    return function() {
-      var i = start;
-      var result = args[start].apply(this, arguments);
-      while (i--) result = args[i].call(this, result);
-      return result;
-    };
-  };
-
-  // Returns a function that will only be executed on and after the Nth call.
-  _.after = function(times, func) {
-    return function() {
-      if (--times < 1) {
-        return func.apply(this, arguments);
-      }
-    };
-  };
-
-  // Returns a function that will only be executed up to (but not including) the Nth call.
-  _.before = function(times, func) {
-    var memo;
-    return function() {
-      if (--times > 0) {
-        memo = func.apply(this, arguments);
-      }
-      if (times <= 1) func = null;
-      return memo;
-    };
-  };
-
-  // Returns a function that will be executed at most one time, no matter how
-  // often you call it. Useful for lazy initialization.
-  _.once = _.partial(_.before, 2);
-
-  // Object Functions
-  // ----------------
-
-  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
-  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
-  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
-                      'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
-
-  function collectNonEnumProps(obj, keys) {
-    var nonEnumIdx = nonEnumerableProps.length;
-    var constructor = obj.constructor;
-    var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto;
-
-    // Constructor is a special case.
-    var prop = 'constructor';
-    if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop);
-
-    while (nonEnumIdx--) {
-      prop = nonEnumerableProps[nonEnumIdx];
-      if (prop in obj && obj[prop] !== proto[prop] && !_.contains(keys, prop)) {
-        keys.push(prop);
-      }
-    }
-  }
-
-  // Retrieve the names of an object's own properties.
-  // Delegates to **ECMAScript 5**'s native `Object.keys`
-  _.keys = function(obj) {
-    if (!_.isObject(obj)) return [];
-    if (nativeKeys) return nativeKeys(obj);
-    var keys = [];
-    for (var key in obj) if (_.has(obj, key)) keys.push(key);
-    // Ahem, IE < 9.
-    if (hasEnumBug) collectNonEnumProps(obj, keys);
-    return keys;
-  };
-
-  // Retrieve all the property names of an object.
-  _.allKeys = function(obj) {
-    if (!_.isObject(obj)) return [];
-    var keys = [];
-    for (var key in obj) keys.push(key);
-    // Ahem, IE < 9.
-    if (hasEnumBug) collectNonEnumProps(obj, keys);
-    return keys;
-  };
-
-  // Retrieve the values of an object's properties.
-  _.values = function(obj) {
-    var keys = _.keys(obj);
-    var length = keys.length;
-    var values = Array(length);
-    for (var i = 0; i < length; i++) {
-      values[i] = obj[keys[i]];
-    }
-    return values;
-  };
-
-  // Returns the results of applying the iteratee to each element of the object
-  // In contrast to _.map it returns an object
-  _.mapObject = function(obj, iteratee, context) {
-    iteratee = cb(iteratee, context);
-    var keys =  _.keys(obj),
-          length = keys.length,
-          results = {},
-          currentKey;
-      for (var index = 0; index < length; index++) {
-        currentKey = keys[index];
-        results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
-      }
-      return results;
-  };
-
-  // Convert an object into a list of `[key, value]` pairs.
-  _.pairs = function(obj) {
-    var keys = _.keys(obj);
-    var length = keys.length;
-    var pairs = Array(length);
-    for (var i = 0; i < length; i++) {
-      pairs[i] = [keys[i], obj[keys[i]]];
-    }
-    return pairs;
-  };
-
-  // Invert the keys and values of an object. The values must be serializable.
-  _.invert = function(obj) {
-    var result = {};
-    var keys = _.keys(obj);
-    for (var i = 0, length = keys.length; i < length; i++) {
-      result[obj[keys[i]]] = keys[i];
-    }
-    return result;
-  };
-
-  // Return a sorted list of the function names available on the object.
-  // Aliased as `methods`
-  _.functions = _.methods = function(obj) {
-    var names = [];
-    for (var key in obj) {
-      if (_.isFunction(obj[key])) names.push(key);
-    }
-    return names.sort();
-  };
-
-  // Extend a given object with all the properties in passed-in object(s).
-  _.extend = createAssigner(_.allKeys);
-
-  // Assigns a given object with all the own properties in the passed-in object(s)
-  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
-  _.extendOwn = _.assign = createAssigner(_.keys);
-
-  // Returns the first key on an object that passes a predicate test
-  _.findKey = function(obj, predicate, context) {
-    predicate = cb(predicate, context);
-    var keys = _.keys(obj), key;
-    for (var i = 0, length = keys.length; i < length; i++) {
-      key = keys[i];
-      if (predicate(obj[key], key, obj)) return key;
-    }
-  };
-
-  // Return a copy of the object only containing the whitelisted properties.
-  _.pick = function(object, oiteratee, context) {
-    var result = {}, obj = object, iteratee, keys;
-    if (obj == null) return result;
-    if (_.isFunction(oiteratee)) {
-      keys = _.allKeys(obj);
-      iteratee = optimizeCb(oiteratee, context);
-    } else {
-      keys = flatten(arguments, false, false, 1);
-      iteratee = function(value, key, obj) { return key in obj; };
-      obj = Object(obj);
-    }
-    for (var i = 0, length = keys.length; i < length; i++) {
-      var key = keys[i];
-      var value = obj[key];
-      if (iteratee(value, key, obj)) result[key] = value;
-    }
-    return result;
-  };
-
-   // Return a copy of the object without the blacklisted properties.
-  _.omit = function(obj, iteratee, context) {
-    if (_.isFunction(iteratee)) {
-      iteratee = _.negate(iteratee);
-    } else {
-      var keys = _.map(flatten(arguments, false, false, 1), String);
-      iteratee = function(value, key) {
-        return !_.contains(keys, key);
-      };
-    }
-    return _.pick(obj, iteratee, context);
-  };
-
-  // Fill in a given object with default properties.
-  _.defaults = createAssigner(_.allKeys, true);
-
-  // Creates an object that inherits from the given prototype object.
-  // If additional properties are provided then they will be added to the
-  // created object.
-  _.create = function(prototype, props) {
-    var result = baseCreate(prototype);
-    if (props) _.extendOwn(result, props);
-    return result;
-  };
-
-  // Create a (shallow-cloned) duplicate of an object.
-  _.clone = function(obj) {
-    if (!_.isObject(obj)) return obj;
-    return _.isArray(obj) ? obj.slice() : _.extend({}, obj);
-  };
-
-  // Invokes interceptor with the obj, and then returns obj.
-  // The primary purpose of this method is to "tap into" a method chain, in
-  // order to perform operations on intermediate results within the chain.
-  _.tap = function(obj, interceptor) {
-    interceptor(obj);
-    return obj;
-  };
-
-  // Returns whether an object has a given set of `key:value` pairs.
-  _.isMatch = function(object, attrs) {
-    var keys = _.keys(attrs), length = keys.length;
-    if (object == null) return !length;
-    var obj = Object(object);
-    for (var i = 0; i < length; i++) {
-      var key = keys[i];
-      if (attrs[key] !== obj[key] || !(key in obj)) return false;
-    }
-    return true;
-  };
-
-
-  // Internal recursive comparison function for `isEqual`.
-  var eq = function(a, b, aStack, bStack) {
-    // Identical objects are equal. `0 === -0`, but they aren't identical.
-    // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal).
-    if (a === b) return a !== 0 || 1 / a === 1 / b;
-    // A strict comparison is necessary because `null == undefined`.
-    if (a == null || b == null) return a === b;
-    // Unwrap any wrapped objects.
-    if (a instanceof _) a = a._wrapped;
-    if (b instanceof _) b = b._wrapped;
-    // Compare `[[Class]]` names.
-    var className = toString.call(a);
-    if (className !== toString.call(b)) return false;
-    switch (className) {
-      // Strings, numbers, regular expressions, dates, and booleans are compared by value.
-      case '[object RegExp]':
-      // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
-      case '[object String]':
-        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
-        // equivalent to `new String("5")`.
-        return '' + a === '' + b;
-      case '[object Number]':
-        // `NaN`s are equivalent, but non-reflexive.
-        // Object(NaN) is equivalent to NaN
-        if (+a !== +a) return +b !== +b;
-        // An `egal` comparison is performed for other numeric values.
-        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
-      case '[object Date]':
-      case '[object Boolean]':
-        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
-        // millisecond representations. Note that invalid dates with millisecond representations
-        // of `NaN` are not equivalent.
-        return +a === +b;
-    }
-
-    var areArrays = className === '[object Array]';
-    if (!areArrays) {
-      if (typeof a != 'object' || typeof b != 'object') return false;
-
-      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
-      // from different frames are.
-      var aCtor = a.constructor, bCtor = b.constructor;
-      if (aCtor !== bCtor && !(_.isFunction(aCtor) && aCtor instanceof aCtor &&
-                               _.isFunction(bCtor) && bCtor instanceof bCtor)
-                          && ('constructor' in a && 'constructor' in b)) {
-        return false;
-      }
-    }
-    // Assume equality for cyclic structures. The algorithm for detecting cyclic
-    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
-
-    // Initializing stack of traversed objects.
-    // It's done here since we only need them for objects and arrays comparison.
-    aStack = aStack || [];
-    bStack = bStack || [];
-    var length = aStack.length;
-    while (length--) {
-      // Linear search. Performance is inversely proportional to the number of
-      // unique nested structures.
-      if (aStack[length] === a) return bStack[length] === b;
-    }
-
-    // Add the first object to the stack of traversed objects.
-    aStack.push(a);
-    bStack.push(b);
-
-    // Recursively compare objects and arrays.
-    if (areArrays) {
-      // Compare array lengths to determine if a deep comparison is necessary.
-      length = a.length;
-      if (length !== b.length) return false;
-      // Deep compare the contents, ignoring non-numeric properties.
-      while (length--) {
-        if (!eq(a[length], b[length], aStack, bStack)) return false;
-      }
-    } else {
-      // Deep compare objects.
-      var keys = _.keys(a), key;
-      length = keys.length;
-      // Ensure that both objects contain the same number of properties before comparing deep equality.
-      if (_.keys(b).length !== length) return false;
-      while (length--) {
-        // Deep compare each member
-        key = keys[length];
-        if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
-      }
-    }
-    // Remove the first object from the stack of traversed objects.
-    aStack.pop();
-    bStack.pop();
-    return true;
-  };
-
-  // Perform a deep comparison to check if two objects are equal.
-  _.isEqual = function(a, b) {
-    return eq(a, b);
-  };
-
-  // Is a given array, string, or object empty?
-  // An "empty" object has no enumerable own-properties.
-  _.isEmpty = function(obj) {
-    if (obj == null) return true;
-    if (isArrayLike(obj) && (_.isArray(obj) || _.isString(obj) || _.isArguments(obj))) return obj.length === 0;
-    return _.keys(obj).length === 0;
-  };
-
-  // Is a given value a DOM element?
-  _.isElement = function(obj) {
-    return !!(obj && obj.nodeType === 1);
-  };
-
-  // Is a given value an array?
-  // Delegates to ECMA5's native Array.isArray
-  _.isArray = nativeIsArray || function(obj) {
-    return toString.call(obj) === '[object Array]';
-  };
-
-  // Is a given variable an object?
-  _.isObject = function(obj) {
-    var type = typeof obj;
-    return type === 'function' || type === 'object' && !!obj;
-  };
-
-  // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError.
-  _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) {
-    _['is' + name] = function(obj) {
-      return toString.call(obj) === '[object ' + name + ']';
-    };
-  });
-
-  // Define a fallback version of the method in browsers (ahem, IE < 9), where
-  // there isn't any inspectable "Arguments" type.
-  if (!_.isArguments(arguments)) {
-    _.isArguments = function(obj) {
-      return _.has(obj, 'callee');
-    };
-  }
-
-  // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8,
-  // IE 11 (#1621), and in Safari 8 (#1929).
-  if (typeof /./ != 'function' && typeof Int8Array != 'object') {
-    _.isFunction = function(obj) {
-      return typeof obj == 'function' || false;
-    };
-  }
-
-  // Is a given object a finite number?
-  _.isFinite = function(obj) {
-    return isFinite(obj) && !isNaN(parseFloat(obj));
-  };
-
-  // Is the given value `NaN`? (NaN is the only number which does not equal itself).
-  _.isNaN = function(obj) {
-    return _.isNumber(obj) && obj !== +obj;
-  };
-
-  // Is a given value a boolean?
-  _.isBoolean = function(obj) {
-    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
-  };
-
-  // Is a given value equal to null?
-  _.isNull = function(obj) {
-    return obj === null;
-  };
-
-  // Is a given variable undefined?
-  _.isUndefined = function(obj) {
-    return obj === void 0;
-  };
-
-  // Shortcut function for checking if an object has a given property directly
-  // on itself (in other words, not on a prototype).
-  _.has = function(obj, key) {
-    return obj != null && hasOwnProperty.call(obj, key);
-  };
-
-  // Utility Functions
-  // -----------------
-
-  // Run Underscore.js in *noConflict* mode, returning the `_` variable to its
-  // previous owner. Returns a reference to the Underscore object.
-  _.noConflict = function() {
-    root._ = previousUnderscore;
-    return this;
-  };
-
-  // Keep the identity function around for default iteratees.
-  _.identity = function(value) {
-    return value;
-  };
-
-  // Predicate-generating functions. Often useful outside of Underscore.
-  _.constant = function(value) {
-    return function() {
-      return value;
-    };
-  };
-
-  _.noop = function(){};
-
-  _.property = property;
-
-  // Generates a function for a given object that returns a given property.
-  _.propertyOf = function(obj) {
-    return obj == null ? function(){} : function(key) {
-      return obj[key];
-    };
-  };
-
-  // Returns a predicate for checking whether an object has a given set of
-  // `key:value` pairs.
-  _.matcher = _.matches = function(attrs) {
-    attrs = _.extendOwn({}, attrs);
-    return function(obj) {
-      return _.isMatch(obj, attrs);
-    };
-  };
-
-  // Run a function **n** times.
-  _.times = function(n, iteratee, context) {
-    var accum = Array(Math.max(0, n));
-    iteratee = optimizeCb(iteratee, context, 1);
-    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
-    return accum;
-  };
-
-  // Return a random integer between min and max (inclusive).
-  _.random = function(min, max) {
-    if (max == null) {
-      max = min;
-      min = 0;
-    }
-    return min + Math.floor(Math.random() * (max - min + 1));
-  };
-
-  // A (possibly faster) way to get the current timestamp as an integer.
-  _.now = Date.now || function() {
-    return new Date().getTime();
-  };
-
-   // List of HTML entities for escaping.
-  var escapeMap = {
-    '&': '&amp;',
-    '<': '&lt;',
-    '>': '&gt;',
-    '"': '&quot;',
-    "'": '&#x27;',
-    '`': '&#x60;'
-  };
-  var unescapeMap = _.invert(escapeMap);
-
-  // Functions for escaping and unescaping strings to/from HTML interpolation.
-  var createEscaper = function(map) {
-    var escaper = function(match) {
-      return map[match];
-    };
-    // Regexes for identifying a key that needs to be escaped
-    var source = '(?:' + _.keys(map).join('|') + ')';
-    var testRegexp = RegExp(source);
-    var replaceRegexp = RegExp(source, 'g');
-    return function(string) {
-      string = string == null ? '' : '' + string;
-      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
-    };
-  };
-  _.escape = createEscaper(escapeMap);
-  _.unescape = createEscaper(unescapeMap);
-
-  // If the value of the named `property` is a function then invoke it with the
-  // `object` as context; otherwise, return it.
-  _.result = function(object, property, fallback) {
-    var value = object == null ? void 0 : object[property];
-    if (value === void 0) {
-      value = fallback;
-    }
-    return _.isFunction(value) ? value.call(object) : value;
-  };
-
-  // Generate a unique integer id (unique within the entire client session).
-  // Useful for temporary DOM ids.
-  var idCounter = 0;
-  _.uniqueId = function(prefix) {
-    var id = ++idCounter + '';
-    return prefix ? prefix + id : id;
-  };
-
-  // By default, Underscore uses ERB-style template delimiters, change the
-  // following template settings to use alternative delimiters.
-  _.templateSettings = {
-    evaluate    : /<%([\s\S]+?)%>/g,
-    interpolate : /<%=([\s\S]+?)%>/g,
-    escape      : /<%-([\s\S]+?)%>/g
-  };
-
-  // When customizing `templateSettings`, if you don't want to define an
-  // interpolation, evaluation or escaping regex, we need one that is
-  // guaranteed not to match.
-  var noMatch = /(.)^/;
-
-  // Certain characters need to be escaped so that they can be put into a
-  // string literal.
-  var escapes = {
-    "'":      "'",
-    '\\':     '\\',
-    '\r':     'r',
-    '\n':     'n',
-    '\u2028': 'u2028',
-    '\u2029': 'u2029'
-  };
-
-  var escaper = /\\|'|\r|\n|\u2028|\u2029/g;
-
-  var escapeChar = function(match) {
-    return '\\' + escapes[match];
-  };
-
-  // JavaScript micro-templating, similar to John Resig's implementation.
-  // Underscore templating handles arbitrary delimiters, preserves whitespace,
-  // and correctly escapes quotes within interpolated code.
-  // NB: `oldSettings` only exists for backwards compatibility.
-  _.template = function(text, settings, oldSettings) {
-    if (!settings && oldSettings) settings = oldSettings;
-    settings = _.defaults({}, settings, _.templateSettings);
-
-    // Combine delimiters into one regular expression via alternation.
-    var matcher = RegExp([
-      (settings.escape || noMatch).source,
-      (settings.interpolate || noMatch).source,
-      (settings.evaluate || noMatch).source
-    ].join('|') + '|$', 'g');
-
-    // Compile the template source, escaping string literals appropriately.
-    var index = 0;
-    var source = "__p+='";
-    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
-      source += text.slice(index, offset).replace(escaper, escapeChar);
-      index = offset + match.length;
-
-      if (escape) {
-        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
-      } else if (interpolate) {
-        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
-      } else if (evaluate) {
-        source += "';\n" + evaluate + "\n__p+='";
-      }
-
-      // Adobe VMs need the match returned to produce the correct offest.
-      return match;
-    });
-    source += "';\n";
-
-    // If a variable is not specified, place data values in local scope.
-    if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n';
-
-    source = "var __t,__p='',__j=Array.prototype.join," +
-      "print=function(){__p+=__j.call(arguments,'');};\n" +
-      source + 'return __p;\n';
-
-    try {
-      var render = new Function(settings.variable || 'obj', '_', source);
-    } catch (e) {
-      e.source = source;
-      throw e;
-    }
-
-    var template = function(data) {
-      return render.call(this, data, _);
-    };
-
-    // Provide the compiled source as a convenience for precompilation.
-    var argument = settings.variable || 'obj';
-    template.source = 'function(' + argument + '){\n' + source + '}';
-
-    return template;
-  };
-
-  // Add a "chain" function. Start chaining a wrapped Underscore object.
-  _.chain = function(obj) {
-    var instance = _(obj);
-    instance._chain = true;
-    return instance;
-  };
-
-  // OOP
-  // ---------------
-  // If Underscore is called as a function, it returns a wrapped object that
-  // can be used OO-style. This wrapper holds altered versions of all the
-  // underscore functions. Wrapped objects may be chained.
-
-  // Helper function to continue chaining intermediate results.
-  var result = function(instance, obj) {
-    return instance._chain ? _(obj).chain() : obj;
-  };
-
-  // Add your own custom functions to the Underscore object.
-  _.mixin = function(obj) {
-    _.each(_.functions(obj), function(name) {
-      var func = _[name] = obj[name];
-      _.prototype[name] = function() {
-        var args = [this._wrapped];
-        push.apply(args, arguments);
-        return result(this, func.apply(_, args));
-      };
-    });
-  };
-
-  // Add all of the Underscore functions to the wrapper object.
-  _.mixin(_);
-
-  // Add all mutator Array functions to the wrapper.
-  _.each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
-    var method = ArrayProto[name];
-    _.prototype[name] = function() {
-      var obj = this._wrapped;
-      method.apply(obj, arguments);
-      if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0];
-      return result(this, obj);
-    };
-  });
-
-  // Add all accessor Array functions to the wrapper.
-  _.each(['concat', 'join', 'slice'], function(name) {
-    var method = ArrayProto[name];
-    _.prototype[name] = function() {
-      return result(this, method.apply(this._wrapped, arguments));
-    };
-  });
-
-  // Extracts the result from a wrapped and chained object.
-  _.prototype.value = function() {
-    return this._wrapped;
-  };
-
-  // Provide unwrapping proxy for some methods used in engine operations
-  // such as arithmetic and JSON stringification.
-  _.prototype.valueOf = _.prototype.toJSON = _.prototype.value;
-
-  _.prototype.toString = function() {
-    return '' + this._wrapped;
-  };
-
-  // AMD registration happens at the end for compatibility with AMD loaders
-  // that may not enforce next-turn semantics on modules. Even though general
-  // practice for AMD registration is to be anonymous, underscore registers
-  // as a named module because, like jQuery, it is a base library that is
-  // popular enough to be bundled in a third party lib, but not be part of
-  // an AMD load request. Those cases could generate an error when an
-  // anonymous define() is called outside of a loader request.
-  if (typeof define === 'function' && define.amd) {
-    define('underscore', [], function() {
-      return _;
-    });
-  }
-}.call(this));
-
-},{}],26:[function(require,module,exports){
-arguments[4][19][0].apply(exports,arguments)
-},{"dup":19}],27:[function(require,module,exports){
-module.exports = function isBuffer(arg) {
-  return arg && typeof arg === 'object'
-    && typeof arg.copy === 'function'
-    && typeof arg.fill === 'function'
-    && typeof arg.readUInt8 === 'function';
-}
-},{}],28:[function(require,module,exports){
-(function (process,global){
-// Copyright Joyent, Inc. and other Node contributors.
-//
-// Permission is hereby granted, free of charge, to any person obtaining a
-// copy of this software and associated documentation files (the
-// "Software"), to deal in the Software without restriction, including
-// without limitation the rights to use, copy, modify, merge, publish,
-// distribute, sublicense, and/or sell copies of the Software, and to permit
-// persons to whom the Software is furnished to do so, subject to the
-// following conditions:
-//
-// The above copyright notice and this permission notice shall be included
-// in all copies or substantial portions of the Software.
-//
-// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
-// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
-// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
-// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
-// USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-var formatRegExp = /%[sdj%]/g;
-exports.format = function(f) {
-  if (!isString(f)) {
-    var objects = [];
-    for (var i = 0; i < arguments.length; i++) {
-      objects.push(inspect(arguments[i]));
-    }
-    return objects.join(' ');
-  }
-
-  var i = 1;
-  var args = arguments;
-  var len = args.length;
-  var str = String(f).replace(formatRegExp, function(x) {
-    if (x === '%%') return '%';
-    if (i >= len) return x;
-    switch (x) {
-      case '%s': return String(args[i++]);
-      case '%d': return Number(args[i++]);
-      case '%j':
-        try {
-          return JSON.stringify(args[i++]);
-        } catch (_) {
-          return '[Circular]';
-        }
-      default:
-        return x;
-    }
-  });
-  for (var x = args[i]; i < len; x = args[++i]) {
-    if (isNull(x) || !isObject(x)) {
-      str += ' ' + x;
-    } else {
-      str += ' ' + inspect(x);
-    }
-  }
-  return str;
-};
-
-
-// Mark that a method should not be used.
-// Returns a modified function which warns once by default.
-// If --no-deprecation is set, then it is a no-op.
-exports.deprecate = function(fn, msg) {
-  // Allow for deprecating things in the process of starting up.
-  if (isUndefined(global.process)) {
-    return function() {
-      return exports.deprecate(fn, msg).apply(this, arguments);
-    };
-  }
-
-  if (process.noDeprecation === true) {
-    return fn;
-  }
-
-  var warned = false;
-  function deprecated() {
-    if (!warned) {
-      if (process.throwDeprecation) {
-        throw new Error(msg);
-      } else if (process.traceDeprecation) {
-        console.trace(msg);
-      } else {
-        console.error(msg);
-      }
-      warned = true;
-    }
-    return fn.apply(this, arguments);
-  }
-
-  return deprecated;
-};
-
-
-var debugs = {};
-var debugEnviron;
-exports.debuglog = function(set) {
-  if (isUndefined(debugEnviron))
-    debugEnviron = process.env.NODE_DEBUG || '';
-  set = set.toUpperCase();
-  if (!debugs[set]) {
-    if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) {
-      var pid = process.pid;
-      debugs[set] = function() {
-        var msg = exports.format.apply(exports, arguments);
-        console.error('%s %d: %s', set, pid, msg);
-      };
-    } else {
-      debugs[set] = function() {};
-    }
-  }
-  return debugs[set];
-};
-
-
-/**
- * Echos the value of a value. Trys to print the value out
- * in the best way possible given the different types.
- *
- * @param {Object} obj The object to print out.
- * @param {Object} opts Optional options object that alters the output.
- */
-/* legacy: obj, showHidden, depth, colors*/
-function inspect(obj, opts) {
-  // default options
-  var ctx = {
-    seen: [],
-    stylize: stylizeNoColor
-  };
-  // legacy...
-  if (arguments.length >= 3) ctx.depth = arguments[2];
-  if (arguments.length >= 4) ctx.colors = arguments[3];
-  if (isBoolean(opts)) {
-    // legacy...
-    ctx.showHidden = opts;
-  } else if (opts) {
-    // got an "options" object
-    exports._extend(ctx, opts);
-  }
-  // set default options
-  if (isUndefined(ctx.showHidden)) ctx.showHidden = false;
-  if (isUndefined(ctx.depth)) ctx.depth = 2;
-  if (isUndefined(ctx.colors)) ctx.colors = false;
-  if (isUndefined(ctx.customInspect)) ctx.customInspect = true;
-  if (ctx.colors) ctx.stylize = stylizeWithColor;
-  return formatValue(ctx, obj, ctx.depth);
-}
-exports.inspect = inspect;
-
-
-// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics
-inspect.colors = {
-  'bold' : [1, 22],
-  'italic' : [3, 23],
-  'underline' : [4, 24],
-  'inverse' : [7, 27],
-  'white' : [37, 39],
-  'grey' : [90, 39],
-  'black' : [30, 39],
-  'blue' : [34, 39],
-  'cyan' : [36, 39],
-  'green' : [32, 39],
-  'magenta' : [35, 39],
-  'red' : [31, 39],
-  'yellow' : [33, 39]
-};
-
-// Don't use 'blue' not visible on cmd.exe
-inspect.styles = {
-  'special': 'cyan',
-  'number': 'yellow',
-  'boolean': 'yellow',
-  'undefined': 'grey',
-  'null': 'bold',
-  'string': 'green',
-  'date': 'magenta',
-  // "name": intentionally not styling
-  'regexp': 'red'
-};
-
-
-function stylizeWithColor(str, styleType) {
-  var style = inspect.styles[styleType];
-
-  if (style) {
-    return '\u001b[' + inspect.colors[style][0] + 'm' + str +
-           '\u001b[' + inspect.colors[style][1] + 'm';
-  } else {
-    return str;
-  }
-}
-
-
-function stylizeNoColor(str, styleType) {
-  return str;
-}
-
-
-function arrayToHash(array) {
-  var hash = {};
-
-  array.forEach(function(val, idx) {
-    hash[val] = true;
-  });
-
-  return hash;
-}
-
-
-function formatValue(ctx, value, recurseTimes) {
-  // Provide a hook for user-specified inspect functions.
-  // Check that value is an object with an inspect function on it
-  if (ctx.customInspect &&
-      value &&
-      isFunction(value.inspect) &&
-      // Filter out the util module, it's inspect function is special
-      value.inspect !== exports.inspect &&
-      // Also filter out any prototype objects using the circular check.
-      !(value.constructor && value.constructor.prototype === value)) {
-    var ret = value.inspect(recurseTimes, ctx);
-    if (!isString(ret)) {
-      ret = formatValue(ctx, ret, recurseTimes);
-    }
-    return ret;
-  }
-
-  // Primitive types cannot have properties
-  var primitive = formatPrimitive(ctx, value);
-  if (primitive) {
-    return primitive;
-  }
-
-  // Look up the keys of the object.
-  var keys = Object.keys(value);
-  var visibleKeys = arrayToHash(keys);
-
-  if (ctx.showHidden) {
-    keys = Object.getOwnPropertyNames(value);
-  }
-
-  // IE doesn't make error fields non-enumerable
-  // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx
-  if (isError(value)
-      && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) {
-    return formatError(value);
-  }
-
-  // Some type of object without properties can be shortcutted.
-  if (keys.length === 0) {
-    if (isFunction(value)) {
-      var name = value.name ? ': ' + value.name : '';
-      return ctx.stylize('[Function' + name + ']', 'special');
-    }
-    if (isRegExp(value)) {
-      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');
-    }
-    if (isDate(value)) {
-      return ctx.stylize(Date.prototype.toString.call(value), 'date');
-    }
-    if (isError(value)) {
-      return formatError(value);
-    }
-  }
-
-  var base = '', array = false, braces = ['{', '}'];
-
-  // Make Array say that they are Array
-  if (isArray(value)) {
-    array = true;
-    braces = ['[', ']'];
-  }
-
-  // Make functions say that they are functions
-  if (isFunction(value)) {
-    var n = value.name ? ': ' + value.name : '';
-    base = ' [Function' + n + ']';
-  }
-
-  // Make RegExps say that they are RegExps
-  if (isRegExp(value)) {
-    base = ' ' + RegExp.prototype.toString.call(value);
-  }
-
-  // Make dates with properties first say the date
-  if (isDate(value)) {
-    base = ' ' + Date.prototype.toUTCString.call(value);
-  }
-
-  // Make error with message first say the error
-  if (isError(value)) {
-    base = ' ' + formatError(value);
-  }
-
-  if (keys.length === 0 && (!array || value.length == 0)) {
-    return braces[0] + base + braces[1];
-  }
-
-  if (recurseTimes < 0) {
-    if (isRegExp(value)) {
-      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');
-    } else {
-      return ctx.stylize('[Object]', 'special');
-    }
-  }
-
-  ctx.seen.push(value);
-
-  var output;
-  if (array) {
-    output = formatArray(ctx, value, recurseTimes, visibleKeys, keys);
-  } else {
-    output = keys.map(function(key) {
-      return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array);
-    });
-  }
-
-  ctx.seen.pop();
-
-  return reduceToSingleString(output, base, braces);
-}
-
-
-function formatPrimitive(ctx, value) {
-  if (isUndefined(value))
-    return ctx.stylize('undefined', 'undefined');
-  if (isString(value)) {
-    var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '')
-                                             .replace(/'/g, "\\'")
-                                             .replace(/\\"/g, '"') + '\'';
-    return ctx.stylize(simple, 'string');
-  }
-  if (isNumber(value))
-    return ctx.stylize('' + value, 'number');
-  if (isBoolean(value))
-    return ctx.stylize('' + value, 'boolean');
-  // For some reason typeof null is "object", so special case here.
-  if (isNull(value))
-    return ctx.stylize('null', 'null');
-}
-
-
-function formatError(value) {
-  return '[' + Error.prototype.toString.call(value) + ']';
-}
-
-
-function formatArray(ctx, value, recurseTimes, visibleKeys, keys) {
-  var output = [];
-  for (var i = 0, l = value.length; i < l; ++i) {
-    if (hasOwnProperty(value, String(i))) {
-      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,
-          String(i), true));
-    } else {
-      output.push('');
-    }
-  }
-  keys.forEach(function(key) {
-    if (!key.match(/^\d+$/)) {
-      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,
-          key, true));
-    }
-  });
-  return output;
-}
-
-
-function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) {
-  var name, str, desc;
-  desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] };
-  if (desc.get) {
-    if (desc.set) {
-      str = ctx.stylize('[Getter/Setter]', 'special');
-    } else {
-      str = ctx.stylize('[Getter]', 'special');
-    }
-  } else {
-    if (desc.set) {
-      str = ctx.stylize('[Setter]', 'special');
-    }
-  }
-  if (!hasOwnProperty(visibleKeys, key)) {
-    name = '[' + key + ']';
-  }
-  if (!str) {
-    if (ctx.seen.indexOf(desc.value) < 0) {
-      if (isNull(recurseTimes)) {
-        str = formatValue(ctx, desc.value, null);
-      } else {
-        str = formatValue(ctx, desc.value, recurseTimes - 1);
-      }
-      if (str.indexOf('\n') > -1) {
-        if (array) {
-          str = str.split('\n').map(function(line) {
-            return '  ' + line;
-          }).join('\n').substr(2);
-        } else {
-          str = '\n' + str.split('\n').map(function(line) {
-            return '   ' + line;
-          }).join('\n');
-        }
-      }
-    } else {
-      str = ctx.stylize('[Circular]', 'special');
-    }
-  }
-  if (isUndefined(name)) {
-    if (array && key.match(/^\d+$/)) {
-      return str;
-    }
-    name = JSON.stringify('' + key);
-    if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) {
-      name = name.substr(1, name.length - 2);
-      name = ctx.stylize(name, 'name');
-    } else {
-      name = name.replace(/'/g, "\\'")
-                 .replace(/\\"/g, '"')
-                 .replace(/(^"|"$)/g, "'");
-      name = ctx.stylize(name, 'string');
-    }
-  }
-
-  return name + ': ' + str;
-}
-
-
-function reduceToSingleString(output, base, braces) {
-  var numLinesEst = 0;
-  var length = output.reduce(function(prev, cur) {
-    numLinesEst++;
-    if (cur.indexOf('\n') >= 0) numLinesEst++;
-    return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1;
-  }, 0);
-
-  if (length > 60) {
-    return braces[0] +
-           (base === '' ? '' : base + '\n ') +
-           ' ' +
-           output.join(',\n  ') +
-           ' ' +
-           braces[1];
-  }
-
-  return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1];
-}
-
-
-// NOTE: These type checking functions intentionally don't use `instanceof`
-// because it is fragile and can be easily faked with `Object.create()`.
-function isArray(ar) {
-  return Array.isArray(ar);
-}
-exports.isArray = isArray;
-
-function isBoolean(arg) {
-  return typeof arg === 'boolean';
-}
-exports.isBoolean = isBoolean;
-
-function isNull(arg) {
-  return arg === null;
-}
-exports.isNull = isNull;
-
-function isNullOrUndefined(arg) {
-  return arg == null;
-}
-exports.isNullOrUndefined = isNullOrUndefined;
-
-function isNumber(arg) {
-  return typeof arg === 'number';
-}
-exports.isNumber = isNumber;
-
-function isString(arg) {
-  return typeof arg === 'string';
-}
-exports.isString = isString;
-
-function isSymbol(arg) {
-  return typeof arg === 'symbol';
-}
-exports.isSymbol = isSymbol;
-
-function isUndefined(arg) {
-  return arg === void 0;
-}
-exports.isUndefined = isUndefined;
-
-function isRegExp(re) {
-  return isObject(re) && objectToString(re) === '[object RegExp]';
-}
-exports.isRegExp = isRegExp;
-
-function isObject(arg) {
-  return typeof arg === 'object' && arg !== null;
-}
-exports.isObject = isObject;
-
-function isDate(d) {
-  return isObject(d) && objectToString(d) === '[object Date]';
-}
-exports.isDate = isDate;
-
-function isError(e) {
-  return isObject(e) &&
-      (objectToString(e) === '[object Error]' || e instanceof Error);
-}
-exports.isError = isError;
-
-function isFunction(arg) {
-  return typeof arg === 'function';
-}
-exports.isFunction = isFunction;
-
-function isPrimitive(arg) {
-  return arg === null ||
-         typeof arg === 'boolean' ||
-         typeof arg === 'number' ||
-         typeof arg === 'string' ||
-         typeof arg === 'symbol' ||  // ES6 symbol
-         typeof arg === 'undefined';
-}
-exports.isPrimitive = isPrimitive;
-
-exports.isBuffer = require('./support/isBuffer');
-
-function objectToString(o) {
-  return Object.prototype.toString.call(o);
-}
-
-
-function pad(n) {
-  return n < 10 ? '0' + n.toString(10) : n.toString(10);
-}
-
-
-var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',
-              'Oct', 'Nov', 'Dec'];
-
-// 26 Feb 16:19:34
-function timestamp() {
-  var d = new Date();
-  var time = [pad(d.getHours()),
-              pad(d.getMinutes()),
-              pad(d.getSeconds())].join(':');
-  return [d.getDate(), months[d.getMonth()], time].join(' ');
-}
-
-
-// log is just a thin wrapper to console.log that prepends a timestamp
-exports.log = function() {
-  console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments));
-};
-
-
-/**
- * Inherit the prototype methods from one constructor into another.
- *
- * The Function.prototype.inherits from lang.js rewritten as a standalone
- * function (not on Function.prototype). NOTE: If this file is to be loaded
- * during bootstrapping this function needs to be rewritten using some native
- * functions as prototype setup using normal JavaScript does not work as
- * expected during bootstrapping (see mirror.js in r114903).
- *
- * @param {function} ctor Constructor function which needs to inherit the
- *     prototype.
- * @param {function} superCtor Constructor function to inherit prototype from.
- */
-exports.inherits = require('inherits');
-
-exports._extend = function(origin, add) {
-  // Don't do anything if add isn't an object
-  if (!add || !isObject(add)) return origin;
-
-  var keys = Object.keys(add);
-  var i = keys.length;
-  while (i--) {
-    origin[keys[i]] = add[keys[i]];
-  }
-  return origin;
-};
-
-function hasOwnProperty(obj, prop) {
-  return Object.prototype.hasOwnProperty.call(obj, prop);
-}
-
-}).call(this,require('_process'),typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-},{"./support/isBuffer":27,"_process":24,"inherits":26}],29:[function(require,module,exports){
-// Returns a wrapper function that returns a wrapped callback
-// The wrapper function should do some stuff, and return a
-// presumably different callback function.
-// This makes sure that own properties are retained, so that
-// decorations and such are not lost along the way.
-module.exports = wrappy
-function wrappy (fn, cb) {
-  if (fn && cb) return wrappy(fn)(cb)
-
-  if (typeof fn !== 'function')
-    throw new TypeError('need wrapper function')
-
-  Object.keys(fn).forEach(function (k) {
-    wrapper[k] = fn[k]
-  })
-
-  return wrapper
-
-  function wrapper() {
-    var args = new Array(arguments.length)
-    for (var i = 0; i < args.length; i++) {
-      args[i] = arguments[i]
-    }
-    var ret = fn.apply(this, args)
-    var cb = args[args.length-1]
-    if (typeof ret === 'function' && ret !== cb) {
-      Object.keys(cb).forEach(function (k) {
-        ret[k] = cb[k]
-      })
-    }
-    return ret
-  }
-}
-
-},{}]},{},[7])(7)
-});
\ No newline at end of file
diff --git a/site/assets/javascripts/workers/search.7a47a382.min.js b/site/assets/javascripts/workers/search.7a47a382.min.js
deleted file mode 100644
index b2cb9b062b1bc69432acbdf4a234fc1b7acd8e38..0000000000000000000000000000000000000000
--- a/site/assets/javascripts/workers/search.7a47a382.min.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";(()=>{var xe=Object.create;var G=Object.defineProperty,ve=Object.defineProperties,Se=Object.getOwnPropertyDescriptor,Te=Object.getOwnPropertyDescriptors,Qe=Object.getOwnPropertyNames,J=Object.getOwnPropertySymbols,Ee=Object.getPrototypeOf,Z=Object.prototype.hasOwnProperty,be=Object.prototype.propertyIsEnumerable;var K=Math.pow,X=(t,e,r)=>e in t?G(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,_=(t,e)=>{for(var r in e||(e={}))Z.call(e,r)&&X(t,r,e[r]);if(J)for(var r of J(e))be.call(e,r)&&X(t,r,e[r]);return t},B=(t,e)=>ve(t,Te(e));var Le=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var we=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of Qe(e))!Z.call(t,i)&&i!==r&&G(t,i,{get:()=>e[i],enumerable:!(n=Se(e,i))||n.enumerable});return t};var Pe=(t,e,r)=>(r=t!=null?xe(Ee(t)):{},we(e||!t||!t.__esModule?G(r,"default",{value:t,enumerable:!0}):r,t));var W=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var re=Le((ee,te)=>{/**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9
- * Copyright (C) 2020 Oliver Nightingale
- * @license MIT
- */(function(){var t=function(e){var r=new t.Builder;return r.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),r.searchPipeline.add(t.stemmer),e.call(r,r),r.build()};t.version="2.3.9";/*!
- * lunr.utils
- * Copyright (C) 2020 Oliver Nightingale
- */t.utils={},t.utils.warn=(function(e){return function(r){e.console&&console.warn&&console.warn(r)}})(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var r=Object.create(null),n=Object.keys(e),i=0;i<n.length;i++){var s=n[i],o=e[s];if(Array.isArray(o)){r[s]=o.slice();continue}if(typeof o=="string"||typeof o=="number"||typeof o=="boolean"){r[s]=o;continue}throw new TypeError("clone is not deep and does not support nested objects")}return r},t.FieldRef=function(e,r,n){this.docRef=e,this.fieldName=r,this._stringValue=n},t.FieldRef.joiner="/",t.FieldRef.fromString=function(e){var r=e.indexOf(t.FieldRef.joiner);if(r===-1)throw"malformed field ref string";var n=e.slice(0,r),i=e.slice(r+1);return new t.FieldRef(i,n,e)},t.FieldRef.prototype.toString=function(){return this._stringValue==null&&(this._stringValue=this.fieldName+t.FieldRef.joiner+this.docRef),this._stringValue};/*!
- * lunr.Set
- * Copyright (C) 2020 Oliver Nightingale
- */t.Set=function(e){if(this.elements=Object.create(null),e){this.length=e.length;for(var r=0;r<this.length;r++)this.elements[e[r]]=!0}else this.length=0},t.Set.complete={intersect:function(e){return e},union:function(){return this},contains:function(){return!0}},t.Set.empty={intersect:function(){return this},union:function(e){return e},contains:function(){return!1}},t.Set.prototype.contains=function(e){return!!this.elements[e]},t.Set.prototype.intersect=function(e){var r,n,i,s=[];if(e===t.Set.complete)return this;if(e===t.Set.empty)return e;this.length<e.length?(r=this,n=e):(r=e,n=this),i=Object.keys(r.elements);for(var o=0;o<i.length;o++){var a=i[o];a in n.elements&&s.push(a)}return new t.Set(s)},t.Set.prototype.union=function(e){return e===t.Set.complete?t.Set.complete:e===t.Set.empty?this:new t.Set(Object.keys(this.elements).concat(Object.keys(e.elements)))},t.idf=function(e,r){var n=0;for(var i in e)i!="_index"&&(n+=Object.keys(e[i]).length);var s=(r-n+.5)/(n+.5);return Math.log(1+Math.abs(s))},t.Token=function(e,r){this.str=e||"",this.metadata=r||{}},t.Token.prototype.toString=function(){return this.str},t.Token.prototype.update=function(e){return this.str=e(this.str,this.metadata),this},t.Token.prototype.clone=function(e){return e=e||function(r){return r},new t.Token(e(this.str,this.metadata),this.metadata)};/*!
- * lunr.tokenizer
- * Copyright (C) 2020 Oliver Nightingale
- */t.tokenizer=function(e,r){if(e==null||e==null)return[];if(Array.isArray(e))return e.map(function(g){return new t.Token(t.utils.asString(g).toLowerCase(),t.utils.clone(r))});for(var n=e.toString().toLowerCase(),i=n.length,s=[],o=0,a=0;o<=i;o++){var u=n.charAt(o),c=o-a;if(u.match(t.tokenizer.separator)||o==i){if(c>0){var f=t.utils.clone(r)||{};f.position=[a,c],f.index=s.length,s.push(new t.Token(n.slice(a,o),f))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;/*!
- * lunr.Pipeline
- * Copyright (C) 2020 Oliver Nightingale
- */t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,r){r in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+r),e.label=r,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var r=e.label&&e.label in this.registeredFunctions;r||t.utils.warn(`Function is not registered with pipeline. This may cause problems when serialising the index.
-`,e)},t.Pipeline.load=function(e){var r=new t.Pipeline;return e.forEach(function(n){var i=t.Pipeline.registeredFunctions[n];if(i)r.add(i);else throw new Error("Cannot load unregistered function: "+n)}),r},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(r){t.Pipeline.warnIfFunctionNotRegistered(r),this._stack.push(r)},this)},t.Pipeline.prototype.after=function(e,r){t.Pipeline.warnIfFunctionNotRegistered(r);var n=this._stack.indexOf(e);if(n==-1)throw new Error("Cannot find existingFn");n=n+1,this._stack.splice(n,0,r)},t.Pipeline.prototype.before=function(e,r){t.Pipeline.warnIfFunctionNotRegistered(r);var n=this._stack.indexOf(e);if(n==-1)throw new Error("Cannot find existingFn");this._stack.splice(n,0,r)},t.Pipeline.prototype.remove=function(e){var r=this._stack.indexOf(e);r!=-1&&this._stack.splice(r,1)},t.Pipeline.prototype.run=function(e){for(var r=this._stack.length,n=0;n<r;n++){for(var i=this._stack[n],s=[],o=0;o<e.length;o++){var a=i(e[o],o,e);if(!(a==null||a===""))if(Array.isArray(a))for(var u=0;u<a.length;u++)s.push(a[u]);else s.push(a)}e=s}return e},t.Pipeline.prototype.runString=function(e,r){var n=new t.Token(e,r);return this.run([n]).map(function(i){return i.toString()})},t.Pipeline.prototype.reset=function(){this._stack=[]},t.Pipeline.prototype.toJSON=function(){return this._stack.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})};/*!
- * lunr.Vector
- * Copyright (C) 2020 Oliver Nightingale
- */t.Vector=function(e){this._magnitude=0,this.elements=e||[]},t.Vector.prototype.positionForIndex=function(e){if(this.elements.length==0)return 0;for(var r=0,n=this.elements.length/2,i=n-r,s=Math.floor(i/2),o=this.elements[s*2];i>1&&(o<e&&(r=s),o>e&&(n=s),o!=e);)i=n-r,s=r+Math.floor(i/2),o=this.elements[s*2];if(o==e||o>e)return s*2;if(o<e)return(s+1)*2},t.Vector.prototype.insert=function(e,r){this.upsert(e,r,function(){throw"duplicate index"})},t.Vector.prototype.upsert=function(e,r,n){this._magnitude=0;var i=this.positionForIndex(e);this.elements[i]==e?this.elements[i+1]=n(this.elements[i+1],r):this.elements.splice(i,0,e,r)},t.Vector.prototype.magnitude=function(){if(this._magnitude)return this._magnitude;for(var e=0,r=this.elements.length,n=1;n<r;n+=2){var i=this.elements[n];e+=i*i}return this._magnitude=Math.sqrt(e)},t.Vector.prototype.dot=function(e){for(var r=0,n=this.elements,i=e.elements,s=n.length,o=i.length,a=0,u=0,c=0,f=0;c<s&&f<o;)a=n[c],u=i[f],a<u?c+=2:a>u?f+=2:a==u&&(r+=n[c+1]*i[f+1],c+=2,f+=2);return r},t.Vector.prototype.similarity=function(e){return this.dot(e)/this.magnitude()||0},t.Vector.prototype.toArray=function(){for(var e=new Array(this.elements.length/2),r=1,n=0;r<this.elements.length;r+=2,n++)e[n]=this.elements[r];return e},t.Vector.prototype.toJSON=function(){return this.elements};/*!
- * lunr.stemmer
- * Copyright (C) 2020 Oliver Nightingale
- * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt
- */t.stemmer=(function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},r={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",s=n+"[^aeiouy]*",o=i+"[aeiou]*",a="^("+s+")?"+o+s,u="^("+s+")?"+o+s+"("+o+")?$",c="^("+s+")?"+o+s+o+s,f="^("+s+")?"+i,g=new RegExp(a),l=new RegExp(c),m=new RegExp(u),x=new RegExp(f),v=/^(.+?)(ss|i)es$/,d=/^(.+?)([^s])s$/,y=/^(.+?)eed$/,b=/^(.+?)(ed|ing)$/,E=/.$/,w=/(at|bl|iz)$/,R=new RegExp("([^aeiouylsz])\\1$"),j=new RegExp("^"+s+i+"[^aeiouwxy]$"),C=/^(.+?[^aeiou])y$/,D=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,N=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,M=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,V=/^(.+?)(s|t)(ion)$/,P=/^(.+?)e$/,z=/ll$/,$=new RegExp("^"+s+i+"[^aeiouwxy]$"),A=function(h){var S,k,L,p,T,O,F;if(h.length<3)return h;if(L=h.substr(0,1),L=="y"&&(h=L.toUpperCase()+h.substr(1)),p=v,T=d,p.test(h)?h=h.replace(p,"$1$2"):T.test(h)&&(h=h.replace(T,"$1$2")),p=y,T=b,p.test(h)){var Q=p.exec(h);p=g,p.test(Q[1])&&(p=E,h=h.replace(p,""))}else if(T.test(h)){var Q=T.exec(h);S=Q[1],T=x,T.test(S)&&(h=S,T=w,O=R,F=j,T.test(h)?h=h+"e":O.test(h)?(p=E,h=h.replace(p,"")):F.test(h)&&(h=h+"e"))}if(p=C,p.test(h)){var Q=p.exec(h);S=Q[1],h=S+"i"}if(p=D,p.test(h)){var Q=p.exec(h);S=Q[1],k=Q[2],p=g,p.test(S)&&(h=S+e[k])}if(p=N,p.test(h)){var Q=p.exec(h);S=Q[1],k=Q[2],p=g,p.test(S)&&(h=S+r[k])}if(p=M,T=V,p.test(h)){var Q=p.exec(h);S=Q[1],p=l,p.test(S)&&(h=S)}else if(T.test(h)){var Q=T.exec(h);S=Q[1]+Q[2],T=l,T.test(S)&&(h=S)}if(p=P,p.test(h)){var Q=p.exec(h);S=Q[1],p=l,T=m,O=$,(p.test(S)||T.test(S)&&!O.test(S))&&(h=S)}return p=z,T=l,p.test(h)&&T.test(h)&&(p=E,h=h.replace(p,"")),L=="y"&&(h=L.toLowerCase()+h.substr(1)),h};return function(I){return I.update(A)}})(),t.Pipeline.registerFunction(t.stemmer,"stemmer");/*!
- * lunr.stopWordFilter
- * Copyright (C) 2020 Oliver Nightingale
- */t.generateStopWordFilter=function(e){var r=e.reduce(function(n,i){return n[i]=i,n},{});return function(n){if(n&&r[n.toString()]!==n.toString())return n}},t.stopWordFilter=t.generateStopWordFilter(["a","able","about","across","after","all","almost","also","am","among","an","and","any","are","as","at","be","because","been","but","by","can","cannot","could","dear","did","do","does","either","else","ever","every","for","from","get","got","had","has","have","he","her","hers","him","his","how","however","i","if","in","into","is","it","its","just","least","let","like","likely","may","me","might","most","must","my","neither","no","nor","not","of","off","often","on","only","or","other","our","own","rather","said","say","says","she","should","since","so","some","than","that","the","their","them","then","there","these","they","this","tis","to","too","twas","us","wants","was","we","were","what","when","where","which","while","who","whom","why","will","with","would","yet","you","your"]),t.Pipeline.registerFunction(t.stopWordFilter,"stopWordFilter");/*!
- * lunr.trimmer
- * Copyright (C) 2020 Oliver Nightingale
- */t.trimmer=function(e){return e.update(function(r){return r.replace(/^\W+/,"").replace(/\W+$/,"")})},t.Pipeline.registerFunction(t.trimmer,"trimmer");/*!
- * lunr.TokenSet
- * Copyright (C) 2020 Oliver Nightingale
- */t.TokenSet=function(){this.final=!1,this.edges={},this.id=t.TokenSet._nextId,t.TokenSet._nextId+=1},t.TokenSet._nextId=1,t.TokenSet.fromArray=function(e){for(var r=new t.TokenSet.Builder,n=0,i=e.length;n<i;n++)r.insert(e[n]);return r.finish(),r.root},t.TokenSet.fromClause=function(e){return"editDistance"in e?t.TokenSet.fromFuzzyString(e.term,e.editDistance):t.TokenSet.fromString(e.term)},t.TokenSet.fromFuzzyString=function(e,r){for(var n=new t.TokenSet,i=[{node:n,editsRemaining:r,str:e}];i.length;){var s=i.pop();if(s.str.length>0){var o=s.str.charAt(0),a;o in s.node.edges?a=s.node.edges[o]:(a=new t.TokenSet,s.node.edges[o]=a),s.str.length==1&&(a.final=!0),i.push({node:a,editsRemaining:s.editsRemaining,str:s.str.slice(1)})}if(s.editsRemaining!=0){if("*"in s.node.edges)var u=s.node.edges["*"];else{var u=new t.TokenSet;s.node.edges["*"]=u}if(s.str.length==0&&(u.final=!0),i.push({node:u,editsRemaining:s.editsRemaining-1,str:s.str}),s.str.length>1&&i.push({node:s.node,editsRemaining:s.editsRemaining-1,str:s.str.slice(1)}),s.str.length==1&&(s.node.final=!0),s.str.length>=1){if("*"in s.node.edges)var c=s.node.edges["*"];else{var c=new t.TokenSet;s.node.edges["*"]=c}s.str.length==1&&(c.final=!0),i.push({node:c,editsRemaining:s.editsRemaining-1,str:s.str.slice(1)})}if(s.str.length>1){var f=s.str.charAt(0),g=s.str.charAt(1),l;g in s.node.edges?l=s.node.edges[g]:(l=new t.TokenSet,s.node.edges[g]=l),s.str.length==1&&(l.final=!0),i.push({node:l,editsRemaining:s.editsRemaining-1,str:f+s.str.slice(2)})}}}return n},t.TokenSet.fromString=function(e){for(var r=new t.TokenSet,n=r,i=0,s=e.length;i<s;i++){var o=e[i],a=i==s-1;if(o=="*")r.edges[o]=r,r.final=a;else{var u=new t.TokenSet;u.final=a,r.edges[o]=u,r=u}}return n},t.TokenSet.prototype.toArray=function(){for(var e=[],r=[{prefix:"",node:this}];r.length;){var n=r.pop(),i=Object.keys(n.node.edges),s=i.length;n.node.final&&(n.prefix.charAt(0),e.push(n.prefix));for(var o=0;o<s;o++){var a=i[o];r.push({prefix:n.prefix.concat(a),node:n.node.edges[a]})}}return e},t.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this.final?"1":"0",r=Object.keys(this.edges).sort(),n=r.length,i=0;i<n;i++){var s=r[i],o=this.edges[s];e=e+s+o.id}return e},t.TokenSet.prototype.intersect=function(e){for(var r=new t.TokenSet,n=void 0,i=[{qNode:e,output:r,node:this}];i.length;){n=i.pop();for(var s=Object.keys(n.qNode.edges),o=s.length,a=Object.keys(n.node.edges),u=a.length,c=0;c<o;c++)for(var f=s[c],g=0;g<u;g++){var l=a[g];if(l==f||f=="*"){var m=n.node.edges[l],x=n.qNode.edges[f],v=m.final&&x.final,d=void 0;l in n.output.edges?(d=n.output.edges[l],d.final=d.final||v):(d=new t.TokenSet,d.final=v,n.output.edges[l]=d),i.push({qNode:x,output:d,node:m})}}}return r},t.TokenSet.Builder=function(){this.previousWord="",this.root=new t.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},t.TokenSet.Builder.prototype.insert=function(e){var r,n=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var i=0;i<e.length&&i<this.previousWord.length&&e[i]==this.previousWord[i];i++)n++;this.minimize(n),this.uncheckedNodes.length==0?r=this.root:r=this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(var i=n;i<e.length;i++){var s=new t.TokenSet,o=e[i];r.edges[o]=s,this.uncheckedNodes.push({parent:r,char:o,child:s}),r=s}r.final=!0,this.previousWord=e},t.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},t.TokenSet.Builder.prototype.minimize=function(e){for(var r=this.uncheckedNodes.length-1;r>=e;r--){var n=this.uncheckedNodes[r],i=n.child.toString();i in this.minimizedNodes?n.parent.edges[n.char]=this.minimizedNodes[i]:(n.child._str=i,this.minimizedNodes[i]=n.child),this.uncheckedNodes.pop()}};/*!
- * lunr.Index
- * Copyright (C) 2020 Oliver Nightingale
- */t.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},t.Index.prototype.search=function(e){return this.query(function(r){var n=new t.QueryParser(e,r);n.parse()})},t.Index.prototype.query=function(e){for(var r=new t.Query(this.fields),n=Object.create(null),i=Object.create(null),s=Object.create(null),o=Object.create(null),a=Object.create(null),u=0;u<this.fields.length;u++)i[this.fields[u]]=new t.Vector;e.call(r,r);for(var u=0;u<r.clauses.length;u++){var c=r.clauses[u],f=null,g=t.Set.empty;c.usePipeline?f=this.pipeline.runString(c.term,{fields:c.fields}):f=[c.term];for(var l=0;l<f.length;l++){var m=f[l];c.term=m;var x=t.TokenSet.fromClause(c),v=this.tokenSet.intersect(x).toArray();if(v.length===0&&c.presence===t.Query.presence.REQUIRED){for(var d=0;d<c.fields.length;d++){var y=c.fields[d];o[y]=t.Set.empty}break}for(var b=0;b<v.length;b++)for(var E=v[b],w=this.invertedIndex[E],R=w._index,d=0;d<c.fields.length;d++){var y=c.fields[d],j=w[y],C=Object.keys(j),D=E+"/"+y,N=new t.Set(C);if(c.presence==t.Query.presence.REQUIRED&&(g=g.union(N),o[y]===void 0&&(o[y]=t.Set.complete)),c.presence==t.Query.presence.PROHIBITED){a[y]===void 0&&(a[y]=t.Set.empty),a[y]=a[y].union(N);continue}if(i[y].upsert(R,c.boost,function(ye,me){return ye+me}),!s[D]){for(var M=0;M<C.length;M++){var V=C[M],P=new t.FieldRef(V,y),z=j[V],$;($=n[P])===void 0?n[P]=new t.MatchData(E,y,z):$.add(E,y,z)}s[D]=!0}}}if(c.presence===t.Query.presence.REQUIRED)for(var d=0;d<c.fields.length;d++){var y=c.fields[d];o[y]=o[y].intersect(g)}}for(var A=t.Set.complete,I=t.Set.empty,u=0;u<this.fields.length;u++){var y=this.fields[u];o[y]&&(A=A.intersect(o[y])),a[y]&&(I=I.union(a[y]))}var h=Object.keys(n),S=[],k=Object.create(null);if(r.isNegated()){h=Object.keys(this.fieldVectors);for(var u=0;u<h.length;u++){var P=h[u],L=t.FieldRef.fromString(P);n[P]=new t.MatchData}}for(var u=0;u<h.length;u++){var L=t.FieldRef.fromString(h[u]),p=L.docRef;if(A.contains(p)&&!I.contains(p)){var T=this.fieldVectors[L],O=i[L.fieldName].similarity(T),F;if((F=k[p])!==void 0)F.score+=O,F.matchData.combine(n[L]);else{var Q={ref:p,score:O,matchData:n[L]};k[p]=Q,S.push(Q)}}}return S.sort(function(pe,ge){return ge.score-pe.score})},t.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map(function(n){return[n,this.invertedIndex[n]]},this),r=Object.keys(this.fieldVectors).map(function(n){return[n,this.fieldVectors[n].toJSON()]},this);return{version:t.version,fields:this.fields,fieldVectors:r,invertedIndex:e,pipeline:this.pipeline.toJSON()}},t.Index.load=function(e){var r={},n={},i=e.fieldVectors,s=Object.create(null),o=e.invertedIndex,a=new t.TokenSet.Builder,u=t.Pipeline.load(e.pipeline);e.version!=t.version&&t.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+t.version+"' does not match serialized index '"+e.version+"'");for(var c=0;c<i.length;c++){var f=i[c],g=f[0],l=f[1];n[g]=new t.Vector(l)}for(var c=0;c<o.length;c++){var f=o[c],m=f[0],x=f[1];a.insert(m),s[m]=x}return a.finish(),r.fields=e.fields,r.fieldVectors=n,r.invertedIndex=s,r.tokenSet=a.root,r.pipeline=u,new t.Index(r)};/*!
- * lunr.Builder
- * Copyright (C) 2020 Oliver Nightingale
- */t.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=t.tokenizer,this.pipeline=new t.Pipeline,this.searchPipeline=new t.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},t.Builder.prototype.ref=function(e){this._ref=e},t.Builder.prototype.field=function(e,r){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=r||{}},t.Builder.prototype.b=function(e){e<0?this._b=0:e>1?this._b=1:this._b=e},t.Builder.prototype.k1=function(e){this._k1=e},t.Builder.prototype.add=function(e,r){var n=e[this._ref],i=Object.keys(this._fields);this._documents[n]=r||{},this.documentCount+=1;for(var s=0;s<i.length;s++){var o=i[s],a=this._fields[o].extractor,u=a?a(e):e[o],c=this.tokenizer(u,{fields:[o]}),f=this.pipeline.run(c),g=new t.FieldRef(n,o),l=Object.create(null);this.fieldTermFrequencies[g]=l,this.fieldLengths[g]=0,this.fieldLengths[g]+=f.length;for(var m=0;m<f.length;m++){var x=f[m];if(l[x]==null&&(l[x]=0),l[x]+=1,this.invertedIndex[x]==null){var v=Object.create(null);v._index=this.termIndex,this.termIndex+=1;for(var d=0;d<i.length;d++)v[i[d]]=Object.create(null);this.invertedIndex[x]=v}this.invertedIndex[x][o][n]==null&&(this.invertedIndex[x][o][n]=Object.create(null));for(var y=0;y<this.metadataWhitelist.length;y++){var b=this.metadataWhitelist[y],E=x.metadata[b];this.invertedIndex[x][o][n][b]==null&&(this.invertedIndex[x][o][n][b]=[]),this.invertedIndex[x][o][n][b].push(E)}}}},t.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),r=e.length,n={},i={},s=0;s<r;s++){var o=t.FieldRef.fromString(e[s]),a=o.fieldName;i[a]||(i[a]=0),i[a]+=1,n[a]||(n[a]=0),n[a]+=this.fieldLengths[o]}for(var u=Object.keys(this._fields),s=0;s<u.length;s++){var c=u[s];n[c]=n[c]/i[c]}this.averageFieldLength=n},t.Builder.prototype.createFieldVectors=function(){for(var e={},r=Object.keys(this.fieldTermFrequencies),n=r.length,i=Object.create(null),s=0;s<n;s++){for(var o=t.FieldRef.fromString(r[s]),a=o.fieldName,u=this.fieldLengths[o],c=new t.Vector,f=this.fieldTermFrequencies[o],g=Object.keys(f),l=g.length,m=this._fields[a].boost||1,x=this._documents[o.docRef].boost||1,v=0;v<l;v++){var d=g[v],y=f[d],b=this.invertedIndex[d]._index,E,w,R;i[d]===void 0?(E=t.idf(this.invertedIndex[d],this.documentCount),i[d]=E):E=i[d],w=E*((this._k1+1)*y)/(this._k1*(1-this._b+this._b*(u/this.averageFieldLength[a]))+y),w*=m,w*=x,R=Math.round(w*1e3)/1e3,c.insert(b,R)}e[o]=c}this.fieldVectors=e},t.Builder.prototype.createTokenSet=function(){this.tokenSet=t.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},t.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new t.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},t.Builder.prototype.use=function(e){var r=Array.prototype.slice.call(arguments,1);r.unshift(this),e.apply(this,r)},t.MatchData=function(e,r,n){for(var i=Object.create(null),s=Object.keys(n||{}),o=0;o<s.length;o++){var a=s[o];i[a]=n[a].slice()}this.metadata=Object.create(null),e!==void 0&&(this.metadata[e]=Object.create(null),this.metadata[e][r]=i)},t.MatchData.prototype.combine=function(e){for(var r=Object.keys(e.metadata),n=0;n<r.length;n++){var i=r[n],s=Object.keys(e.metadata[i]);this.metadata[i]==null&&(this.metadata[i]=Object.create(null));for(var o=0;o<s.length;o++){var a=s[o],u=Object.keys(e.metadata[i][a]);this.metadata[i][a]==null&&(this.metadata[i][a]=Object.create(null));for(var c=0;c<u.length;c++){var 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-
diff --git a/site/assets/javascripts/workers/search.7a47a382.min.js.map b/site/assets/javascripts/workers/search.7a47a382.min.js.map
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-{
-  "version": 3,
-  "sources": ["node_modules/lunr/lunr.js", "src/templates/assets/javascripts/integrations/search/worker/main/index.ts", "src/templates/assets/javascripts/browser/element/_/index.ts", "src/templates/assets/javascripts/polyfills/index.ts", "src/templates/assets/javascripts/integrations/search/config/index.ts", "src/templates/assets/javascripts/integrations/search/internal/_/index.ts", "src/templates/assets/javascripts/integrations/search/internal/extract/index.ts", "src/templates/assets/javascripts/integrations/search/internal/highlight/index.ts", "src/templates/assets/javascripts/integrations/search/internal/tokenize/index.ts", "src/templates/assets/javascripts/integrations/search/query/transform/index.ts", "src/templates/assets/javascripts/integrations/search/query/_/index.ts", "src/templates/assets/javascripts/integrations/search/query/segment/index.ts", "src/templates/assets/javascripts/integrations/search/_/index.ts"],
-  "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n *   this.field('title')\n *   this.field('body')\n *   this.ref('id')\n *\n *   documents.forEach(function (doc) {\n *     this.add(doc)\n *   }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n  var builder = new lunr.Builder\n\n  builder.pipeline.add(\n    lunr.trimmer,\n    lunr.stopWordFilter,\n    lunr.stemmer\n  )\n\n  builder.searchPipeline.add(\n    lunr.stemmer\n  )\n\n  config.call(builder, builder)\n  return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n  /* eslint-disable no-console */\n  return function (message) {\n    if (global.console && console.warn) {\n      console.warn(message)\n    }\n  }\n  /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n  if (obj === void 0 || obj === null) {\n    return \"\"\n  } else {\n    return obj.toString()\n  }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n  if (obj === null || obj === undefined) {\n    return obj\n  }\n\n  var clone = Object.create(null),\n      keys = Object.keys(obj)\n\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i],\n        val = obj[key]\n\n    if (Array.isArray(val)) {\n      clone[key] = val.slice()\n      continue\n    }\n\n    if (typeof val === 'string' ||\n        typeof val === 'number' ||\n        typeof val === 'boolean') {\n      clone[key] = val\n      continue\n    }\n\n    throw new TypeError(\"clone is not deep and does not support nested objects\")\n  }\n\n  return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n  this.docRef = docRef\n  this.fieldName = fieldName\n  this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n  var n = s.indexOf(lunr.FieldRef.joiner)\n\n  if (n === -1) {\n    throw \"malformed field ref string\"\n  }\n\n  var fieldRef = s.slice(0, n),\n      docRef = s.slice(n + 1)\n\n  return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n  if (this._stringValue == undefined) {\n    this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n  }\n\n  return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n  this.elements = Object.create(null)\n\n  if (elements) {\n    this.length = elements.length\n\n    for (var i = 0; i < this.length; i++) {\n      this.elements[elements[i]] = true\n    }\n  } else {\n    this.length = 0\n  }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n  intersect: function (other) {\n    return other\n  },\n\n  union: function () {\n    return this\n  },\n\n  contains: function () {\n    return true\n  }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n  intersect: function () {\n    return this\n  },\n\n  union: function (other) {\n    return other\n  },\n\n  contains: function () {\n    return false\n  }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n  return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n  var a, b, elements, intersection = []\n\n  if (other === lunr.Set.complete) {\n    return this\n  }\n\n  if (other === lunr.Set.empty) {\n    return other\n  }\n\n  if (this.length < other.length) {\n    a = this\n    b = other\n  } else {\n    a = other\n    b = this\n  }\n\n  elements = Object.keys(a.elements)\n\n  for (var i = 0; i < elements.length; i++) {\n    var element = elements[i]\n    if (element in b.elements) {\n      intersection.push(element)\n    }\n  }\n\n  return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n  if (other === lunr.Set.complete) {\n    return lunr.Set.complete\n  }\n\n  if (other === lunr.Set.empty) {\n    return this\n  }\n\n  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n  var documentsWithTerm = 0\n\n  for (var fieldName in posting) {\n    if (fieldName == '_index') continue // Ignore the term index, its not a field\n    documentsWithTerm += Object.keys(posting[fieldName]).length\n  }\n\n  var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n  return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n  this.str = str || \"\"\n  this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n  return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n *   return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n  this.str = fn(this.str, this.metadata)\n  return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n  fn = fn || function (s) { return s }\n  return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n  if (obj == null || obj == undefined) {\n    return []\n  }\n\n  if (Array.isArray(obj)) {\n    return obj.map(function (t) {\n      return new lunr.Token(\n        lunr.utils.asString(t).toLowerCase(),\n        lunr.utils.clone(metadata)\n      )\n    })\n  }\n\n  var str = obj.toString().toLowerCase(),\n      len = str.length,\n      tokens = []\n\n  for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n    var char = str.charAt(sliceEnd),\n        sliceLength = sliceEnd - sliceStart\n\n    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n      if (sliceLength > 0) {\n        var tokenMetadata = lunr.utils.clone(metadata) || {}\n        tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n        tokenMetadata[\"index\"] = tokens.length\n\n        tokens.push(\n          new lunr.Token (\n            str.slice(sliceStart, sliceEnd),\n            tokenMetadata\n          )\n        )\n      }\n\n      sliceStart = sliceEnd + 1\n    }\n\n  }\n\n  return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n  this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n  if (label in this.registeredFunctions) {\n    lunr.utils.warn('Overwriting existing registered function: ' + label)\n  }\n\n  fn.label = label\n  lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n  var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n  if (!isRegistered) {\n    lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n  }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n  var pipeline = new lunr.Pipeline\n\n  serialised.forEach(function (fnName) {\n    var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n    if (fn) {\n      pipeline.add(fn)\n    } else {\n      throw new Error('Cannot load unregistered function: ' + fnName)\n    }\n  })\n\n  return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n  var fns = Array.prototype.slice.call(arguments)\n\n  fns.forEach(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n    this._stack.push(fn)\n  }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  pos = pos + 1\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n  var pos = this._stack.indexOf(fn)\n  if (pos == -1) {\n    return\n  }\n\n  this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n  var stackLength = this._stack.length\n\n  for (var i = 0; i < stackLength; i++) {\n    var fn = this._stack[i]\n    var memo = []\n\n    for (var j = 0; j < tokens.length; j++) {\n      var result = fn(tokens[j], j, tokens)\n\n      if (result === null || result === void 0 || result === '') continue\n\n      if (Array.isArray(result)) {\n        for (var k = 0; k < result.length; k++) {\n          memo.push(result[k])\n        }\n      } else {\n        memo.push(result)\n      }\n    }\n\n    tokens = memo\n  }\n\n  return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n  var token = new lunr.Token (str, metadata)\n\n  return this.run([token]).map(function (t) {\n    return t.toString()\n  })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n  this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n  return this._stack.map(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n    return fn.label\n  })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n  this._magnitude = 0\n  this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n  // For an empty vector the tuple can be inserted at the beginning\n  if (this.elements.length == 0) {\n    return 0\n  }\n\n  var start = 0,\n      end = this.elements.length / 2,\n      sliceLength = end - start,\n      pivotPoint = Math.floor(sliceLength / 2),\n      pivotIndex = this.elements[pivotPoint * 2]\n\n  while (sliceLength > 1) {\n    if (pivotIndex < index) {\n      start = pivotPoint\n    }\n\n    if (pivotIndex > index) {\n      end = pivotPoint\n    }\n\n    if (pivotIndex == index) {\n      break\n    }\n\n    sliceLength = end - start\n    pivotPoint = start + Math.floor(sliceLength / 2)\n    pivotIndex = this.elements[pivotPoint * 2]\n  }\n\n  if (pivotIndex == index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex > index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex < index) {\n    return (pivotPoint + 1) * 2\n  }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n  this.upsert(insertIdx, val, function () {\n    throw \"duplicate index\"\n  })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n  this._magnitude = 0\n  var position = this.positionForIndex(insertIdx)\n\n  if (this.elements[position] == insertIdx) {\n    this.elements[position + 1] = fn(this.elements[position + 1], val)\n  } else {\n    this.elements.splice(position, 0, insertIdx, val)\n  }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n  if (this._magnitude) return this._magnitude\n\n  var sumOfSquares = 0,\n      elementsLength = this.elements.length\n\n  for (var i = 1; i < elementsLength; i += 2) {\n    var val = this.elements[i]\n    sumOfSquares += val * val\n  }\n\n  return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n  var dotProduct = 0,\n      a = this.elements, b = otherVector.elements,\n      aLen = a.length, bLen = b.length,\n      aVal = 0, bVal = 0,\n      i = 0, j = 0\n\n  while (i < aLen && j < bLen) {\n    aVal = a[i], bVal = b[j]\n    if (aVal < bVal) {\n      i += 2\n    } else if (aVal > bVal) {\n      j += 2\n    } else if (aVal == bVal) {\n      dotProduct += a[i + 1] * b[j + 1]\n      i += 2\n      j += 2\n    }\n  }\n\n  return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n  return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n  var output = new Array (this.elements.length / 2)\n\n  for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n    output[j] = this.elements[i]\n  }\n\n  return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n  return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n  var step2list = {\n      \"ational\" : \"ate\",\n      \"tional\" : \"tion\",\n      \"enci\" : \"ence\",\n      \"anci\" : \"ance\",\n      \"izer\" : \"ize\",\n      \"bli\" : \"ble\",\n      \"alli\" : \"al\",\n      \"entli\" : \"ent\",\n      \"eli\" : \"e\",\n      \"ousli\" : \"ous\",\n      \"ization\" : \"ize\",\n      \"ation\" : \"ate\",\n      \"ator\" : \"ate\",\n      \"alism\" : \"al\",\n      \"iveness\" : \"ive\",\n      \"fulness\" : \"ful\",\n      \"ousness\" : \"ous\",\n      \"aliti\" : \"al\",\n      \"iviti\" : \"ive\",\n      \"biliti\" : \"ble\",\n      \"logi\" : \"log\"\n    },\n\n    step3list = {\n      \"icate\" : \"ic\",\n      \"ative\" : \"\",\n      \"alize\" : \"al\",\n      \"iciti\" : \"ic\",\n      \"ical\" : \"ic\",\n      \"ful\" : \"\",\n      \"ness\" : \"\"\n    },\n\n    c = \"[^aeiou]\",          // consonant\n    v = \"[aeiouy]\",          // vowel\n    C = c + \"[^aeiouy]*\",    // consonant sequence\n    V = v + \"[aeiou]*\",      // vowel sequence\n\n    mgr0 = \"^(\" + C + \")?\" + V + C,               // [C]VC... is m>0\n    meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\",  // [C]VC[V] is m=1\n    mgr1 = \"^(\" + C + \")?\" + V + C + V + C,       // [C]VCVC... is m>1\n    s_v = \"^(\" + C + \")?\" + v;                   // vowel in stem\n\n  var re_mgr0 = new RegExp(mgr0);\n  var re_mgr1 = new RegExp(mgr1);\n  var re_meq1 = new RegExp(meq1);\n  var re_s_v = new RegExp(s_v);\n\n  var re_1a = /^(.+?)(ss|i)es$/;\n  var re2_1a = /^(.+?)([^s])s$/;\n  var re_1b = /^(.+?)eed$/;\n  var re2_1b = /^(.+?)(ed|ing)$/;\n  var re_1b_2 = /.$/;\n  var re2_1b_2 = /(at|bl|iz)$/;\n  var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n  var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var re_1c = /^(.+?[^aeiou])y$/;\n  var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n  var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n  var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n  var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n  var re_5 = /^(.+?)e$/;\n  var re_5_1 = /ll$/;\n  var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var porterStemmer = function porterStemmer(w) {\n    var stem,\n      suffix,\n      firstch,\n      re,\n      re2,\n      re3,\n      re4;\n\n    if (w.length < 3) { return w; }\n\n    firstch = w.substr(0,1);\n    if (firstch == \"y\") {\n      w = firstch.toUpperCase() + w.substr(1);\n    }\n\n    // Step 1a\n    re = re_1a\n    re2 = re2_1a;\n\n    if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n    else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n    // Step 1b\n    re = re_1b;\n    re2 = re2_1b;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      re = re_mgr0;\n      if (re.test(fp[1])) {\n        re = re_1b_2;\n        w = w.replace(re,\"\");\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1];\n      re2 = re_s_v;\n      if (re2.test(stem)) {\n        w = stem;\n        re2 = re2_1b_2;\n        re3 = re3_1b_2;\n        re4 = re4_1b_2;\n        if (re2.test(w)) { w = w + \"e\"; }\n        else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n        else if (re4.test(w)) { w = w + \"e\"; }\n      }\n    }\n\n    // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n    re = re_1c;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      w = stem + \"i\";\n    }\n\n    // Step 2\n    re = re_2;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step2list[suffix];\n      }\n    }\n\n    // Step 3\n    re = re_3;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step3list[suffix];\n      }\n    }\n\n    // Step 4\n    re = re_4;\n    re2 = re2_4;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      if (re.test(stem)) {\n        w = stem;\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1] + fp[2];\n      re2 = re_mgr1;\n      if (re2.test(stem)) {\n        w = stem;\n      }\n    }\n\n    // Step 5\n    re = re_5;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      re2 = re_meq1;\n      re3 = re3_5;\n      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n        w = stem;\n      }\n    }\n\n    re = re_5_1;\n    re2 = re_mgr1;\n    if (re.test(w) && re2.test(w)) {\n      re = re_1b_2;\n      w = w.replace(re,\"\");\n    }\n\n    // and turn initial Y back to y\n\n    if (firstch == \"y\") {\n      w = firstch.toLowerCase() + w.substr(1);\n    }\n\n    return w;\n  };\n\n  return function (token) {\n    return token.update(porterStemmer);\n  }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n  var words = stopWords.reduce(function (memo, stopWord) {\n    memo[stopWord] = stopWord\n    return memo\n  }, {})\n\n  return function (token) {\n    if (token && words[token.toString()] !== token.toString()) return token\n  }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n  'a',\n  'able',\n  'about',\n  'across',\n  'after',\n  'all',\n  'almost',\n  'also',\n  'am',\n  'among',\n  'an',\n  'and',\n  'any',\n  'are',\n  'as',\n  'at',\n  'be',\n  'because',\n  'been',\n  'but',\n  'by',\n  'can',\n  'cannot',\n  'could',\n  'dear',\n  'did',\n  'do',\n  'does',\n  'either',\n  'else',\n  'ever',\n  'every',\n  'for',\n  'from',\n  'get',\n  'got',\n  'had',\n  'has',\n  'have',\n  'he',\n  'her',\n  'hers',\n  'him',\n  'his',\n  'how',\n  'however',\n  'i',\n  'if',\n  'in',\n  'into',\n  'is',\n  'it',\n  'its',\n  'just',\n  'least',\n  'let',\n  'like',\n  'likely',\n  'may',\n  'me',\n  'might',\n  'most',\n  'must',\n  'my',\n  'neither',\n  'no',\n  'nor',\n  'not',\n  'of',\n  'off',\n  'often',\n  'on',\n  'only',\n  'or',\n  'other',\n  'our',\n  'own',\n  'rather',\n  'said',\n  'say',\n  'says',\n  'she',\n  'should',\n  'since',\n  'so',\n  'some',\n  'than',\n  'that',\n  'the',\n  'their',\n  'them',\n  'then',\n  'there',\n  'these',\n  'they',\n  'this',\n  'tis',\n  'to',\n  'too',\n  'twas',\n  'us',\n  'wants',\n  'was',\n  'we',\n  'were',\n  'what',\n  'when',\n  'where',\n  'which',\n  'while',\n  'who',\n  'whom',\n  'why',\n  'will',\n  'with',\n  'would',\n  'yet',\n  'you',\n  'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n  return token.update(function (s) {\n    return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n  })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n  this.final = false\n  this.edges = {}\n  this.id = lunr.TokenSet._nextId\n  lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n  var builder = new lunr.TokenSet.Builder\n\n  for (var i = 0, len = arr.length; i < len; i++) {\n    builder.insert(arr[i])\n  }\n\n  builder.finish()\n  return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n  if ('editDistance' in clause) {\n    return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n  } else {\n    return lunr.TokenSet.fromString(clause.term)\n  }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n  var root = new lunr.TokenSet\n\n  var stack = [{\n    node: root,\n    editsRemaining: editDistance,\n    str: str\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop()\n\n    // no edit\n    if (frame.str.length > 0) {\n      var char = frame.str.charAt(0),\n          noEditNode\n\n      if (char in frame.node.edges) {\n        noEditNode = frame.node.edges[char]\n      } else {\n        noEditNode = new lunr.TokenSet\n        frame.node.edges[char] = noEditNode\n      }\n\n      if (frame.str.length == 1) {\n        noEditNode.final = true\n      }\n\n      stack.push({\n        node: noEditNode,\n        editsRemaining: frame.editsRemaining,\n        str: frame.str.slice(1)\n      })\n    }\n\n    if (frame.editsRemaining == 0) {\n      continue\n    }\n\n    // insertion\n    if (\"*\" in frame.node.edges) {\n      var insertionNode = frame.node.edges[\"*\"]\n    } else {\n      var insertionNode = new lunr.TokenSet\n      frame.node.edges[\"*\"] = insertionNode\n    }\n\n    if (frame.str.length == 0) {\n      insertionNode.final = true\n    }\n\n    stack.push({\n      node: insertionNode,\n      editsRemaining: frame.editsRemaining - 1,\n      str: frame.str\n    })\n\n    // deletion\n    // can only do a deletion if we have enough edits remaining\n    // and if there are characters left to delete in the string\n    if (frame.str.length > 1) {\n      stack.push({\n        node: frame.node,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // deletion\n    // just removing the last character from the str\n    if (frame.str.length == 1) {\n      frame.node.final = true\n    }\n\n    // substitution\n    // can only do a substitution if we have enough edits remaining\n    // and if there are characters left to substitute\n    if (frame.str.length >= 1) {\n      if (\"*\" in frame.node.edges) {\n        var substitutionNode = frame.node.edges[\"*\"]\n      } else {\n        var substitutionNode = new lunr.TokenSet\n        frame.node.edges[\"*\"] = substitutionNode\n      }\n\n      if (frame.str.length == 1) {\n        substitutionNode.final = true\n      }\n\n      stack.push({\n        node: substitutionNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // transposition\n    // can only do a transposition if there are edits remaining\n    // and there are enough characters to transpose\n    if (frame.str.length > 1) {\n      var charA = frame.str.charAt(0),\n          charB = frame.str.charAt(1),\n          transposeNode\n\n      if (charB in frame.node.edges) {\n        transposeNode = frame.node.edges[charB]\n      } else {\n        transposeNode = new lunr.TokenSet\n        frame.node.edges[charB] = transposeNode\n      }\n\n      if (frame.str.length == 1) {\n        transposeNode.final = true\n      }\n\n      stack.push({\n        node: transposeNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: charA + frame.str.slice(2)\n      })\n    }\n  }\n\n  return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n  var node = new lunr.TokenSet,\n      root = node\n\n  /*\n   * Iterates through all characters within the passed string\n   * appending a node for each character.\n   *\n   * When a wildcard character is found then a self\n   * referencing edge is introduced to continually match\n   * any number of any characters.\n   */\n  for (var i = 0, len = str.length; i < len; i++) {\n    var char = str[i],\n        final = (i == len - 1)\n\n    if (char == \"*\") {\n      node.edges[char] = node\n      node.final = final\n\n    } else {\n      var next = new lunr.TokenSet\n      next.final = final\n\n      node.edges[char] = next\n      node = next\n    }\n  }\n\n  return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n  var words = []\n\n  var stack = [{\n    prefix: \"\",\n    node: this\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop(),\n        edges = Object.keys(frame.node.edges),\n        len = edges.length\n\n    if (frame.node.final) {\n      /* In Safari, at this point the prefix is sometimes corrupted, see:\n       * https://github.com/olivernn/lunr.js/issues/279 Calling any\n       * String.prototype method forces Safari to \"cast\" this string to what\n       * it's supposed to be, fixing the bug. */\n      frame.prefix.charAt(0)\n      words.push(frame.prefix)\n    }\n\n    for (var i = 0; i < len; i++) {\n      var edge = edges[i]\n\n      stack.push({\n        prefix: frame.prefix.concat(edge),\n        node: frame.node.edges[edge]\n      })\n    }\n  }\n\n  return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n  // NOTE: Using Object.keys here as this.edges is very likely\n  // to enter 'hash-mode' with many keys being added\n  //\n  // avoiding a for-in loop here as it leads to the function\n  // being de-optimised (at least in V8). From some simple\n  // benchmarks the performance is comparable, but allowing\n  // V8 to optimize may mean easy performance wins in the future.\n\n  if (this._str) {\n    return this._str\n  }\n\n  var str = this.final ? '1' : '0',\n      labels = Object.keys(this.edges).sort(),\n      len = labels.length\n\n  for (var i = 0; i < len; i++) {\n    var label = labels[i],\n        node = this.edges[label]\n\n    str = str + label + node.id\n  }\n\n  return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n  var output = new lunr.TokenSet,\n      frame = undefined\n\n  var stack = [{\n    qNode: b,\n    output: output,\n    node: this\n  }]\n\n  while (stack.length) {\n    frame = stack.pop()\n\n    // NOTE: As with the #toString method, we are using\n    // Object.keys and a for loop instead of a for-in loop\n    // as both of these objects enter 'hash' mode, causing\n    // the function to be de-optimised in V8\n    var qEdges = Object.keys(frame.qNode.edges),\n        qLen = qEdges.length,\n        nEdges = Object.keys(frame.node.edges),\n        nLen = nEdges.length\n\n    for (var q = 0; q < qLen; q++) {\n      var qEdge = qEdges[q]\n\n      for (var n = 0; n < nLen; n++) {\n        var nEdge = nEdges[n]\n\n        if (nEdge == qEdge || qEdge == '*') {\n          var node = frame.node.edges[nEdge],\n              qNode = frame.qNode.edges[qEdge],\n              final = node.final && qNode.final,\n              next = undefined\n\n          if (nEdge in frame.output.edges) {\n            // an edge already exists for this character\n            // no need to create a new node, just set the finality\n            // bit unless this node is already final\n            next = frame.output.edges[nEdge]\n            next.final = next.final || final\n\n          } else {\n            // no edge exists yet, must create one\n            // set the finality bit and insert it\n            // into the output\n            next = new lunr.TokenSet\n            next.final = final\n            frame.output.edges[nEdge] = next\n          }\n\n          stack.push({\n            qNode: qNode,\n            output: next,\n            node: node\n          })\n        }\n      }\n    }\n  }\n\n  return output\n}\nlunr.TokenSet.Builder = function () {\n  this.previousWord = \"\"\n  this.root = new lunr.TokenSet\n  this.uncheckedNodes = []\n  this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n  var node,\n      commonPrefix = 0\n\n  if (word < this.previousWord) {\n    throw new Error (\"Out of order word insertion\")\n  }\n\n  for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n    if (word[i] != this.previousWord[i]) break\n    commonPrefix++\n  }\n\n  this.minimize(commonPrefix)\n\n  if (this.uncheckedNodes.length == 0) {\n    node = this.root\n  } else {\n    node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n  }\n\n  for (var i = commonPrefix; i < word.length; i++) {\n    var nextNode = new lunr.TokenSet,\n        char = word[i]\n\n    node.edges[char] = nextNode\n\n    this.uncheckedNodes.push({\n      parent: node,\n      char: char,\n      child: nextNode\n    })\n\n    node = nextNode\n  }\n\n  node.final = true\n  this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n  this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n  for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n    var node = this.uncheckedNodes[i],\n        childKey = node.child.toString()\n\n    if (childKey in this.minimizedNodes) {\n      node.parent.edges[node.char] = this.minimizedNodes[childKey]\n    } else {\n      // Cache the key for this node since\n      // we know it can't change anymore\n      node.child._str = childKey\n\n      this.minimizedNodes[childKey] = node.child\n    }\n\n    this.uncheckedNodes.pop()\n  }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n  this.invertedIndex = attrs.invertedIndex\n  this.fieldVectors = attrs.fieldVectors\n  this.tokenSet = attrs.tokenSet\n  this.fields = attrs.fields\n  this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example <caption>Simple single term query</caption>\n * hello\n * @example <caption>Multiple term query</caption>\n * hello world\n * @example <caption>term scoped to a field</caption>\n * title:hello\n * @example <caption>term with a boost of 10</caption>\n * hello^10\n * @example <caption>term with an edit distance of 2</caption>\n * hello~2\n * @example <caption>terms with presence modifiers</caption>\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first.  For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n  return this.query(function (query) {\n    var parser = new lunr.QueryParser(queryString, query)\n    parser.parse()\n  })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n  // for each query clause\n  // * process terms\n  // * expand terms from token set\n  // * find matching documents and metadata\n  // * get document vectors\n  // * score documents\n\n  var query = new lunr.Query(this.fields),\n      matchingFields = Object.create(null),\n      queryVectors = Object.create(null),\n      termFieldCache = Object.create(null),\n      requiredMatches = Object.create(null),\n      prohibitedMatches = Object.create(null)\n\n  /*\n   * To support field level boosts a query vector is created per\n   * field. An empty vector is eagerly created to support negated\n   * queries.\n   */\n  for (var i = 0; i < this.fields.length; i++) {\n    queryVectors[this.fields[i]] = new lunr.Vector\n  }\n\n  fn.call(query, query)\n\n  for (var i = 0; i < query.clauses.length; i++) {\n    /*\n     * Unless the pipeline has been disabled for this term, which is\n     * the case for terms with wildcards, we need to pass the clause\n     * term through the search pipeline. A pipeline returns an array\n     * of processed terms. Pipeline functions may expand the passed\n     * term, which means we may end up performing multiple index lookups\n     * for a single query term.\n     */\n    var clause = query.clauses[i],\n        terms = null,\n        clauseMatches = lunr.Set.empty\n\n    if (clause.usePipeline) {\n      terms = this.pipeline.runString(clause.term, {\n        fields: clause.fields\n      })\n    } else {\n      terms = [clause.term]\n    }\n\n    for (var m = 0; m < terms.length; m++) {\n      var term = terms[m]\n\n      /*\n       * Each term returned from the pipeline needs to use the same query\n       * clause object, e.g. the same boost and or edit distance. The\n       * simplest way to do this is to re-use the clause object but mutate\n       * its term property.\n       */\n      clause.term = term\n\n      /*\n       * From the term in the clause we create a token set which will then\n       * be used to intersect the indexes token set to get a list of terms\n       * to lookup in the inverted index\n       */\n      var termTokenSet = lunr.TokenSet.fromClause(clause),\n          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n      /*\n       * If a term marked as required does not exist in the tokenSet it is\n       * impossible for the search to return any matches. We set all the field\n       * scoped required matches set to empty and stop examining any further\n       * clauses.\n       */\n      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n        for (var k = 0; k < clause.fields.length; k++) {\n          var field = clause.fields[k]\n          requiredMatches[field] = lunr.Set.empty\n        }\n\n        break\n      }\n\n      for (var j = 0; j < expandedTerms.length; j++) {\n        /*\n         * For each term get the posting and termIndex, this is required for\n         * building the query vector.\n         */\n        var expandedTerm = expandedTerms[j],\n            posting = this.invertedIndex[expandedTerm],\n            termIndex = posting._index\n\n        for (var k = 0; k < clause.fields.length; k++) {\n          /*\n           * For each field that this query term is scoped by (by default\n           * all fields are in scope) we need to get all the document refs\n           * that have this term in that field.\n           *\n           * The posting is the entry in the invertedIndex for the matching\n           * term from above.\n           */\n          var field = clause.fields[k],\n              fieldPosting = posting[field],\n              matchingDocumentRefs = Object.keys(fieldPosting),\n              termField = expandedTerm + \"/\" + field,\n              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n          /*\n           * if the presence of this term is required ensure that the matching\n           * documents are added to the set of required matches for this clause.\n           *\n           */\n          if (clause.presence == lunr.Query.presence.REQUIRED) {\n            clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n            if (requiredMatches[field] === undefined) {\n              requiredMatches[field] = lunr.Set.complete\n            }\n          }\n\n          /*\n           * if the presence of this term is prohibited ensure that the matching\n           * documents are added to the set of prohibited matches for this field,\n           * creating that set if it does not yet exist.\n           */\n          if (clause.presence == lunr.Query.presence.PROHIBITED) {\n            if (prohibitedMatches[field] === undefined) {\n              prohibitedMatches[field] = lunr.Set.empty\n            }\n\n            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n            /*\n             * Prohibited matches should not be part of the query vector used for\n             * similarity scoring and no metadata should be extracted so we continue\n             * to the next field\n             */\n            continue\n          }\n\n          /*\n           * The query field vector is populated using the termIndex found for\n           * the term and a unit value with the appropriate boost applied.\n           * Using upsert because there could already be an entry in the vector\n           * for the term we are working with. In that case we just add the scores\n           * together.\n           */\n          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n          /**\n           * If we've already seen this term, field combo then we've already collected\n           * the matching documents and metadata, no need to go through all that again\n           */\n          if (termFieldCache[termField]) {\n            continue\n          }\n\n          for (var l = 0; l < matchingDocumentRefs.length; l++) {\n            /*\n             * All metadata for this term/field/document triple\n             * are then extracted and collected into an instance\n             * of lunr.MatchData ready to be returned in the query\n             * results\n             */\n            var matchingDocumentRef = matchingDocumentRefs[l],\n                matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n                metadata = fieldPosting[matchingDocumentRef],\n                fieldMatch\n\n            if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n              matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n            } else {\n              fieldMatch.add(expandedTerm, field, metadata)\n            }\n\n          }\n\n          termFieldCache[termField] = true\n        }\n      }\n    }\n\n    /**\n     * If the presence was required we need to update the requiredMatches field sets.\n     * We do this after all fields for the term have collected their matches because\n     * the clause terms presence is required in _any_ of the fields not _all_ of the\n     * fields.\n     */\n    if (clause.presence === lunr.Query.presence.REQUIRED) {\n      for (var k = 0; k < clause.fields.length; k++) {\n        var field = clause.fields[k]\n        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n      }\n    }\n  }\n\n  /**\n   * Need to combine the field scoped required and prohibited\n   * matching documents into a global set of required and prohibited\n   * matches\n   */\n  var allRequiredMatches = lunr.Set.complete,\n      allProhibitedMatches = lunr.Set.empty\n\n  for (var i = 0; i < this.fields.length; i++) {\n    var field = this.fields[i]\n\n    if (requiredMatches[field]) {\n      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n    }\n\n    if (prohibitedMatches[field]) {\n      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n    }\n  }\n\n  var matchingFieldRefs = Object.keys(matchingFields),\n      results = [],\n      matches = Object.create(null)\n\n  /*\n   * If the query is negated (contains only prohibited terms)\n   * we need to get _all_ fieldRefs currently existing in the\n   * index. This is only done when we know that the query is\n   * entirely prohibited terms to avoid any cost of getting all\n   * fieldRefs unnecessarily.\n   *\n   * Additionally, blank MatchData must be created to correctly\n   * populate the results.\n   */\n  if (query.isNegated()) {\n    matchingFieldRefs = Object.keys(this.fieldVectors)\n\n    for (var i = 0; i < matchingFieldRefs.length; i++) {\n      var matchingFieldRef = matchingFieldRefs[i]\n      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n      matchingFields[matchingFieldRef] = new lunr.MatchData\n    }\n  }\n\n  for (var i = 0; i < matchingFieldRefs.length; i++) {\n    /*\n     * Currently we have document fields that match the query, but we\n     * need to return documents. The matchData and scores are combined\n     * from multiple fields belonging to the same document.\n     *\n     * Scores are calculated by field, using the query vectors created\n     * above, and combined into a final document score using addition.\n     */\n    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n        docRef = fieldRef.docRef\n\n    if (!allRequiredMatches.contains(docRef)) {\n      continue\n    }\n\n    if (allProhibitedMatches.contains(docRef)) {\n      continue\n    }\n\n    var fieldVector = this.fieldVectors[fieldRef],\n        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n        docMatch\n\n    if ((docMatch = matches[docRef]) !== undefined) {\n      docMatch.score += score\n      docMatch.matchData.combine(matchingFields[fieldRef])\n    } else {\n      var match = {\n        ref: docRef,\n        score: score,\n        matchData: matchingFields[fieldRef]\n      }\n      matches[docRef] = match\n      results.push(match)\n    }\n  }\n\n  /*\n   * Sort the results objects by score, highest first.\n   */\n  return results.sort(function (a, b) {\n    return b.score - a.score\n  })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n  var invertedIndex = Object.keys(this.invertedIndex)\n    .sort()\n    .map(function (term) {\n      return [term, this.invertedIndex[term]]\n    }, this)\n\n  var fieldVectors = Object.keys(this.fieldVectors)\n    .map(function (ref) {\n      return [ref, this.fieldVectors[ref].toJSON()]\n    }, this)\n\n  return {\n    version: lunr.version,\n    fields: this.fields,\n    fieldVectors: fieldVectors,\n    invertedIndex: invertedIndex,\n    pipeline: this.pipeline.toJSON()\n  }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n  var attrs = {},\n      fieldVectors = {},\n      serializedVectors = serializedIndex.fieldVectors,\n      invertedIndex = Object.create(null),\n      serializedInvertedIndex = serializedIndex.invertedIndex,\n      tokenSetBuilder = new lunr.TokenSet.Builder,\n      pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n  if (serializedIndex.version != lunr.version) {\n    lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n  }\n\n  for (var i = 0; i < serializedVectors.length; i++) {\n    var tuple = serializedVectors[i],\n        ref = tuple[0],\n        elements = tuple[1]\n\n    fieldVectors[ref] = new lunr.Vector(elements)\n  }\n\n  for (var i = 0; i < serializedInvertedIndex.length; i++) {\n    var tuple = serializedInvertedIndex[i],\n        term = tuple[0],\n        posting = tuple[1]\n\n    tokenSetBuilder.insert(term)\n    invertedIndex[term] = posting\n  }\n\n  tokenSetBuilder.finish()\n\n  attrs.fields = serializedIndex.fields\n\n  attrs.fieldVectors = fieldVectors\n  attrs.invertedIndex = invertedIndex\n  attrs.tokenSet = tokenSetBuilder.root\n  attrs.pipeline = pipeline\n\n  return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n  this._ref = \"id\"\n  this._fields = Object.create(null)\n  this._documents = Object.create(null)\n  this.invertedIndex = Object.create(null)\n  this.fieldTermFrequencies = {}\n  this.fieldLengths = {}\n  this.tokenizer = lunr.tokenizer\n  this.pipeline = new lunr.Pipeline\n  this.searchPipeline = new lunr.Pipeline\n  this.documentCount = 0\n  this._b = 0.75\n  this._k1 = 1.2\n  this.termIndex = 0\n  this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n  this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example <caption>Extracting a nested field</caption>\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n  if (/\\//.test(fieldName)) {\n    throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n  }\n\n  this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n  if (number < 0) {\n    this._b = 0\n  } else if (number > 1) {\n    this._b = 1\n  } else {\n    this._b = number\n  }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n  this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n  var docRef = doc[this._ref],\n      fields = Object.keys(this._fields)\n\n  this._documents[docRef] = attributes || {}\n  this.documentCount += 1\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i],\n        extractor = this._fields[fieldName].extractor,\n        field = extractor ? extractor(doc) : doc[fieldName],\n        tokens = this.tokenizer(field, {\n          fields: [fieldName]\n        }),\n        terms = this.pipeline.run(tokens),\n        fieldRef = new lunr.FieldRef (docRef, fieldName),\n        fieldTerms = Object.create(null)\n\n    this.fieldTermFrequencies[fieldRef] = fieldTerms\n    this.fieldLengths[fieldRef] = 0\n\n    // store the length of this field for this document\n    this.fieldLengths[fieldRef] += terms.length\n\n    // calculate term frequencies for this field\n    for (var j = 0; j < terms.length; j++) {\n      var term = terms[j]\n\n      if (fieldTerms[term] == undefined) {\n        fieldTerms[term] = 0\n      }\n\n      fieldTerms[term] += 1\n\n      // add to inverted index\n      // create an initial posting if one doesn't exist\n      if (this.invertedIndex[term] == undefined) {\n        var posting = Object.create(null)\n        posting[\"_index\"] = this.termIndex\n        this.termIndex += 1\n\n        for (var k = 0; k < fields.length; k++) {\n          posting[fields[k]] = Object.create(null)\n        }\n\n        this.invertedIndex[term] = posting\n      }\n\n      // add an entry for this term/fieldName/docRef to the invertedIndex\n      if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n        this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n      }\n\n      // store all whitelisted metadata about this token in the\n      // inverted index\n      for (var l = 0; l < this.metadataWhitelist.length; l++) {\n        var metadataKey = this.metadataWhitelist[l],\n            metadata = term.metadata[metadataKey]\n\n        if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n          this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n        }\n\n        this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n      }\n    }\n\n  }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n  var fieldRefs = Object.keys(this.fieldLengths),\n      numberOfFields = fieldRefs.length,\n      accumulator = {},\n      documentsWithField = {}\n\n  for (var i = 0; i < numberOfFields; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        field = fieldRef.fieldName\n\n    documentsWithField[field] || (documentsWithField[field] = 0)\n    documentsWithField[field] += 1\n\n    accumulator[field] || (accumulator[field] = 0)\n    accumulator[field] += this.fieldLengths[fieldRef]\n  }\n\n  var fields = Object.keys(this._fields)\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i]\n    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n  }\n\n  this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n  var fieldVectors = {},\n      fieldRefs = Object.keys(this.fieldTermFrequencies),\n      fieldRefsLength = fieldRefs.length,\n      termIdfCache = Object.create(null)\n\n  for (var i = 0; i < fieldRefsLength; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        fieldName = fieldRef.fieldName,\n        fieldLength = this.fieldLengths[fieldRef],\n        fieldVector = new lunr.Vector,\n        termFrequencies = this.fieldTermFrequencies[fieldRef],\n        terms = Object.keys(termFrequencies),\n        termsLength = terms.length\n\n\n    var fieldBoost = this._fields[fieldName].boost || 1,\n        docBoost = this._documents[fieldRef.docRef].boost || 1\n\n    for (var j = 0; j < termsLength; j++) {\n      var term = terms[j],\n          tf = termFrequencies[term],\n          termIndex = this.invertedIndex[term]._index,\n          idf, score, scoreWithPrecision\n\n      if (termIdfCache[term] === undefined) {\n        idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n        termIdfCache[term] = idf\n      } else {\n        idf = termIdfCache[term]\n      }\n\n      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n      score *= fieldBoost\n      score *= docBoost\n      scoreWithPrecision = Math.round(score * 1000) / 1000\n      // Converts 1.23456789 to 1.234.\n      // Reducing the precision so that the vectors take up less\n      // space when serialised. Doing it now so that they behave\n      // the same before and after serialisation. Also, this is\n      // the fastest approach to reducing a number's precision in\n      // JavaScript.\n\n      fieldVector.insert(termIndex, scoreWithPrecision)\n    }\n\n    fieldVectors[fieldRef] = fieldVector\n  }\n\n  this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n  this.tokenSet = lunr.TokenSet.fromArray(\n    Object.keys(this.invertedIndex).sort()\n  )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n  this.calculateAverageFieldLengths()\n  this.createFieldVectors()\n  this.createTokenSet()\n\n  return new lunr.Index({\n    invertedIndex: this.invertedIndex,\n    fieldVectors: this.fieldVectors,\n    tokenSet: this.tokenSet,\n    fields: Object.keys(this._fields),\n    pipeline: this.searchPipeline\n  })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n  var args = Array.prototype.slice.call(arguments, 1)\n  args.unshift(this)\n  fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n  var clonedMetadata = Object.create(null),\n      metadataKeys = Object.keys(metadata || {})\n\n  // Cloning the metadata to prevent the original\n  // being mutated during match data combination.\n  // Metadata is kept in an array within the inverted\n  // index so cloning the data can be done with\n  // Array#slice\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n    clonedMetadata[key] = metadata[key].slice()\n  }\n\n  this.metadata = Object.create(null)\n\n  if (term !== undefined) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = clonedMetadata\n  }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n  var terms = Object.keys(otherMatchData.metadata)\n\n  for (var i = 0; i < terms.length; i++) {\n    var term = terms[i],\n        fields = Object.keys(otherMatchData.metadata[term])\n\n    if (this.metadata[term] == undefined) {\n      this.metadata[term] = Object.create(null)\n    }\n\n    for (var j = 0; j < fields.length; j++) {\n      var field = fields[j],\n          keys = Object.keys(otherMatchData.metadata[term][field])\n\n      if (this.metadata[term][field] == undefined) {\n        this.metadata[term][field] = Object.create(null)\n      }\n\n      for (var k = 0; k < keys.length; k++) {\n        var key = keys[k]\n\n        if (this.metadata[term][field][key] == undefined) {\n          this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n        } else {\n          this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n        }\n\n      }\n    }\n  }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n  if (!(term in this.metadata)) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  if (!(field in this.metadata[term])) {\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  var metadataKeys = Object.keys(metadata)\n\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n\n    if (key in this.metadata[term][field]) {\n      this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n    } else {\n      this.metadata[term][field][key] = metadata[key]\n    }\n  }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n  this.clauses = []\n  this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with trailing wildcard</caption>\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example <caption>query term with leading and trailing wildcard</caption>\n * query.term('foo', {\n *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with required presence</caption>\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n  /**\n   * Term's presence in a document is optional, this is the default value.\n   */\n  OPTIONAL: 1,\n\n  /**\n   * Term's presence in a document is required, documents that do not contain\n   * this term will not be returned.\n   */\n  REQUIRED: 2,\n\n  /**\n   * Term's presence in a document is prohibited, documents that do contain\n   * this term will not be returned.\n   */\n  PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n  if (!('fields' in clause)) {\n    clause.fields = this.allFields\n  }\n\n  if (!('boost' in clause)) {\n    clause.boost = 1\n  }\n\n  if (!('usePipeline' in clause)) {\n    clause.usePipeline = true\n  }\n\n  if (!('wildcard' in clause)) {\n    clause.wildcard = lunr.Query.wildcard.NONE\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n    clause.term = \"*\" + clause.term\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n    clause.term = \"\" + clause.term + \"*\"\n  }\n\n  if (!('presence' in clause)) {\n    clause.presence = lunr.Query.presence.OPTIONAL\n  }\n\n  this.clauses.push(clause)\n\n  return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n  for (var i = 0; i < this.clauses.length; i++) {\n    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n      return false\n    }\n  }\n\n  return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example <caption>adding a single term to a query</caption>\n * query.term(\"foo\")\n * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>\n * query.term(\"foo\", {\n *   fields: [\"title\"],\n *   boost: 10,\n *   wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n  if (Array.isArray(term)) {\n    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n    return this\n  }\n\n  var clause = options || {}\n  clause.term = term.toString()\n\n  this.clause(clause)\n\n  return this\n}\nlunr.QueryParseError = function (message, start, end) {\n  this.name = \"QueryParseError\"\n  this.message = message\n  this.start = start\n  this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n  this.lexemes = []\n  this.str = str\n  this.length = str.length\n  this.pos = 0\n  this.start = 0\n  this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n  var state = lunr.QueryLexer.lexText\n\n  while (state) {\n    state = state(this)\n  }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n  var subSlices = [],\n      sliceStart = this.start,\n      sliceEnd = this.pos\n\n  for (var i = 0; i < this.escapeCharPositions.length; i++) {\n    sliceEnd = this.escapeCharPositions[i]\n    subSlices.push(this.str.slice(sliceStart, sliceEnd))\n    sliceStart = sliceEnd + 1\n  }\n\n  subSlices.push(this.str.slice(sliceStart, this.pos))\n  this.escapeCharPositions.length = 0\n\n  return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n  this.lexemes.push({\n    type: type,\n    str: this.sliceString(),\n    start: this.start,\n    end: this.pos\n  })\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n  this.escapeCharPositions.push(this.pos - 1)\n  this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n  if (this.pos >= this.length) {\n    return lunr.QueryLexer.EOS\n  }\n\n  var char = this.str.charAt(this.pos)\n  this.pos += 1\n  return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n  return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n  if (this.start == this.pos) {\n    this.pos += 1\n  }\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n  this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n  var char, charCode\n\n  do {\n    char = this.next()\n    charCode = char.charCodeAt(0)\n  } while (charCode > 47 && charCode < 58)\n\n  if (char != lunr.QueryLexer.EOS) {\n    this.backup()\n  }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n  return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n  lexer.backup()\n  lexer.emit(lunr.QueryLexer.FIELD)\n  lexer.ignore()\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n  if (lexer.width() > 1) {\n    lexer.backup()\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n\n  lexer.ignore()\n\n  if (lexer.more()) {\n    return lunr.QueryLexer.lexText\n  }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.BOOST)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n  if (lexer.width() > 0) {\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n  while (true) {\n    var char = lexer.next()\n\n    if (char == lunr.QueryLexer.EOS) {\n      return lunr.QueryLexer.lexEOS\n    }\n\n    // Escape character is '\\'\n    if (char.charCodeAt(0) == 92) {\n      lexer.escapeCharacter()\n      continue\n    }\n\n    if (char == \":\") {\n      return lunr.QueryLexer.lexField\n    }\n\n    if (char == \"~\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexEditDistance\n    }\n\n    if (char == \"^\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexBoost\n    }\n\n    // \"+\" indicates term presence is required\n    // checking for length to ensure that only\n    // leading \"+\" are considered\n    if (char == \"+\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    // \"-\" indicates term presence is prohibited\n    // checking for length to ensure that only\n    // leading \"-\" are considered\n    if (char == \"-\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    if (char.match(lunr.QueryLexer.termSeparator)) {\n      return lunr.QueryLexer.lexTerm\n    }\n  }\n}\n\nlunr.QueryParser = function (str, query) {\n  this.lexer = new lunr.QueryLexer (str)\n  this.query = query\n  this.currentClause = {}\n  this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n  this.lexer.run()\n  this.lexemes = this.lexer.lexemes\n\n  var state = lunr.QueryParser.parseClause\n\n  while (state) {\n    state = state(this)\n  }\n\n  return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n  return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n  var lexeme = this.peekLexeme()\n  this.lexemeIdx += 1\n  return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n  var completedClause = this.currentClause\n  this.query.clause(completedClause)\n  this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n  var lexeme = parser.peekLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.type) {\n    case lunr.QueryLexer.PRESENCE:\n      return lunr.QueryParser.parsePresence\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n      if (lexeme.str.length >= 1) {\n        errorMessage += \" with value '\" + lexeme.str + \"'\"\n      }\n\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.str) {\n    case \"-\":\n      parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n      break\n    case \"+\":\n      parser.currentClause.presence = lunr.Query.presence.REQUIRED\n      break\n    default:\n      var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term or field, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n    var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n        errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.fields = [lexeme.str]\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  parser.currentClause.term = lexeme.str.toLowerCase()\n\n  if (lexeme.str.indexOf(\"*\") != -1) {\n    parser.currentClause.usePipeline = false\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var editDistance = parseInt(lexeme.str, 10)\n\n  if (isNaN(editDistance)) {\n    var errorMessage = \"edit distance must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.editDistance = editDistance\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var boost = parseInt(lexeme.str, 10)\n\n  if (isNaN(boost)) {\n    var errorMessage = \"boost must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.boost = boost\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\n  /**\n   * export the module via AMD, CommonJS or as a browser global\n   * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n   */\n  ;(function (root, factory) {\n    if (typeof define === 'function' && define.amd) {\n      // AMD. Register as an anonymous module.\n      define(factory)\n    } else if (typeof exports === 'object') {\n      /**\n       * Node. Does not work with strict CommonJS, but\n       * only CommonJS-like enviroments that support module.exports,\n       * like Node.\n       */\n      module.exports = factory()\n    } else {\n      // Browser globals (root is window)\n      root.lunr = factory()\n    }\n  }(this, function () {\n    /**\n     * Just return a value to define the module export.\n     * This example returns an object, but the module\n     * can return a function as the exported value.\n     */\n    return lunr\n  }))\n})();\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport { getElement } from \"~/browser/element/_\"\nimport \"~/polyfills\"\n\nimport { Search } from \"../../_\"\nimport { SearchConfig } from \"../../config\"\nimport {\n  SearchMessage,\n  SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for `iframe-worker` shim\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous shim implementation. The cool\n * thing is that awaiting a non-Promise will convert it into a Promise, so\n * extending the type definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n *\n * @param urls - Scripts to load\n *\n * @returns Promise resolving with no result\n */\ndeclare global {\n  function importScripts(...urls: string[]): Promise<void> | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages which are defined as part of the search configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n  config: SearchConfig\n): Promise<void> {\n  let base = \"../lunr\"\n\n  /* Detect `iframe-worker` and fix base URL */\n  if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n    const worker = getElement<HTMLScriptElement>(\"script[src]\")\n    const [path] = worker.src.split(\"/worker\")\n\n    /* Prefix base with path */\n    base = base.replace(\"..\", path)\n  }\n\n  /* Add scripts for languages */\n  const scripts = []\n  for (const lang of config.lang) {\n    switch (lang) {\n\n      /* Add segmenter for Japanese */\n      case \"ja\":\n        scripts.push(`${base}/tinyseg.js`)\n        break\n\n      /* Add segmenter for Hindi and Thai */\n      case \"hi\":\n      case \"th\":\n        scripts.push(`${base}/wordcut.js`)\n        break\n    }\n\n    /* Add language support */\n    if (lang !== \"en\")\n      scripts.push(`${base}/min/lunr.${lang}.min.js`)\n  }\n\n  /* Add multi-language support */\n  if (config.lang.length > 1)\n    scripts.push(`${base}/min/lunr.multi.min.js`)\n\n  /* Load scripts synchronously */\n  if (scripts.length)\n    await importScripts(\n      `${base}/min/lunr.stemmer.support.min.js`,\n      ...scripts\n    )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n  message: SearchMessage\n): Promise<SearchMessage> {\n  switch (message.type) {\n\n    /* Search setup message */\n    case SearchMessageType.SETUP:\n      await setupSearchLanguages(message.data.config)\n      index = new Search(message.data)\n      return {\n        type: SearchMessageType.READY\n      }\n\n    /* Search query message */\n    case SearchMessageType.QUERY:\n      const query = message.data\n      try {\n        return {\n          type: SearchMessageType.RESULT,\n          data: index.search(query)\n        }\n\n      /* Return empty result in case of error */\n      } catch (err) {\n        console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n        console.warn(err)\n        return {\n          type: SearchMessageType.RESULT,\n          data: { items: [] }\n        }\n      }\n\n    /* All other messages */\n    default:\n      throw new TypeError(\"Invalid message type\")\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* Expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Monkey-patch Lunr.js to mitigate https://t.ly/68TLq */\nlunr.utils.warn = console.warn\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n  postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T[]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T[] {\n  return Array.from(node.querySelectorAll<T>(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T {\n  const el = getOptionalElement<T>(selector, node)\n  if (typeof el === \"undefined\")\n    throw new ReferenceError(\n      `Missing element: expected \"${selector}\" to be present`\n    )\n\n  /* Return element */\n  return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T | undefined {\n  return node.querySelector<T>(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n  return (\n    document.activeElement?.shadowRoot?.activeElement as HTMLElement ??\n    document.activeElement as HTMLElement ??\n    undefined\n  )\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n  Object.entries = function (obj: object) {\n    const data: [string, string][] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push([key, obj[key]])\n\n    /* Return entries */\n    return data\n  }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n  Object.values = function (obj: object) {\n    const data: string[] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push(obj[key])\n\n    /* Return values */\n    return data\n  }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n  /* Polyfill `Element.scrollTo` */\n  if (!Element.prototype.scrollTo)\n    Element.prototype.scrollTo = function (\n      x?: ScrollToOptions | number, y?: number\n    ): void {\n      if (typeof x === \"object\") {\n        this.scrollLeft = x.left!\n        this.scrollTop = x.top!\n      } else {\n        this.scrollLeft = x!\n        this.scrollTop = y!\n      }\n    }\n\n  /* Polyfill `Element.replaceWith` */\n  if (!Element.prototype.replaceWith)\n    Element.prototype.replaceWith = function (\n      ...nodes: Array<string | Node>\n    ): void {\n      const parent = this.parentNode\n      if (parent) {\n        if (nodes.length === 0)\n          parent.removeChild(this)\n\n        /* Replace children and create text nodes */\n        for (let i = nodes.length - 1; i >= 0; i--) {\n          let node = nodes[i]\n          if (typeof node === \"string\")\n            node = document.createTextNode(node)\n          else if (node.parentNode)\n            node.parentNode.removeChild(node)\n\n          /* Replace child or insert before previous sibling */\n          if (!i)\n            parent.replaceChild(node, this)\n          else\n            parent.insertBefore(this.previousSibling!, node)\n        }\n      }\n    }\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search field\n */\nexport interface SearchField {\n  boost?: number                       /* Field boost */\n}\n\n/**\n * Search configuration\n */\nexport interface SearchConfig {\n  lang: string[]                       /* Search languages */\n  separator: string                    /* Search separator */\n  pipeline: SearchPipelineFn[]         /* Search pipeline */\n  fields: Record<string, SearchField>  /* Search field */\n}\n\n/**\n * Search document\n */\nexport interface SearchDocument {\n  location: string                     /* Document location */\n  title: string                        /* Document title */\n  text: string                         /* Document text */\n  tags?: string[]                      /* Document tags */\n  boost?: number                       /* Document boost */\n  parent?: SearchDocument              /* Document parent */\n}\n\n/**\n * Search options\n */\nexport interface SearchOptions {\n  suggest: boolean                     /* Search suggestions */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport interface SearchIndex {\n  config: SearchConfig                 /* Search configuration */\n  docs: SearchDocument[]               /* Search documents */\n  options: SearchOptions               /* Search options */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search pipeline function\n */\ntype SearchPipelineFn =\n  | \"trimmer\"                          /* Trimmer */\n  | \"stopWordFilter\"                   /* Stop word filter */\n  | \"stemmer\"                          /* Stemmer */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document map\n *\n * This function creates a mapping of URLs (including anchors) to the actual\n * articles and sections. It relies on the invariant that the search index is\n * ordered with the main article appearing before all sections with anchors.\n * If this is not the case, the logic music be changed.\n *\n * @param docs - Search documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n  docs: SearchDocument[]\n): Map<string, SearchDocument> {\n  const map = new Map<string, SearchDocument>()\n  for (const doc of docs) {\n    const [path] = doc.location.split(\"#\")\n\n    /* Add document article */\n    const article = map.get(path)\n    if (typeof article === \"undefined\") {\n      map.set(path, doc)\n\n      /* Add document section */\n    } else {\n      map.set(doc.location, doc)\n      doc.parent = article\n    }\n  }\n\n  /* Return search document map */\n  return map\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string using the given separator\n *\n * @param input - Input value\n * @param separator - Separator\n * @param fn - Visitor function\n */\nexport function split(\n  input: string, separator: RegExp, fn: VisitorFn\n): void {\n  separator = new RegExp(separator, \"g\")\n\n  /* Split string using separator */\n  let match: RegExpExecArray | null\n  let index = 0\n  do {\n    match = separator.exec(input)\n\n    /* Emit non-empty range */\n    const until = match?.index ?? input.length\n    if (index < until)\n      fn(index, until)\n\n    /* Update last index */\n    if (match) {\n      const [term] = match\n      index = match.index + term.length\n\n      /* Support zero-length lookaheads */\n      if (term.length === 0)\n        separator.lastIndex = match.index + 1\n    }\n  } while (match)\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Extraction type\n *\n * This type defines the possible values that are encoded into the first two\n * bits of a section that is part of the blocks of a tokenization table. There\n * are three types of interest: HTML opening and closing tags, as well as the\n * actual text content we need to extract for indexing.\n */\nexport const enum Extract {\n  TAG_OPEN  = 0,                       /* HTML opening tag */\n  TEXT      = 1,                       /* Text content */\n  TAG_CLOSE = 2                        /* HTML closing tag */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param block - Block index\n * @param type - Extraction type\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  block: number, type: Extract, start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string into markup and text sections\n *\n * This function scans a string and divides it up into sections of markup and\n * text. For each section, it invokes the given visitor function with the block\n * index, extraction type, as well as start and end offsets. Using a visitor\n * function (= streaming data) is ideal for minimizing pressure on the GC.\n *\n * @param input - Input value\n * @param fn - Visitor function\n */\nexport function extract(\n  input: string, fn: VisitorFn\n): void {\n\n  let block = 0                        /* Current block */\n  let start = 0                        /* Current start offset */\n  let end = 0                          /* Current end offset */\n\n  /* Split string into sections */\n  for (let stack = 0; end < input.length; end++) {\n\n    /* Opening tag after non-empty section */\n    if (input.charAt(end) === \"<\" && end > start) {\n      fn(block, Extract.TEXT, start, start = end)\n\n    /* Closing tag */\n    } else if (input.charAt(end) === \">\") {\n      if (input.charAt(start + 1) === \"/\") {\n        if (--stack === 0)\n          fn(block++, Extract.TAG_CLOSE, start, end + 1)\n\n      /* Tag is not self-closing */\n      } else if (input.charAt(end - 1) !== \"/\") {\n        if (stack++ === 0)\n          fn(block, Extract.TAG_OPEN, start, end + 1)\n      }\n\n      /* New section */\n      start = end + 1\n    }\n  }\n\n  /* Add trailing section */\n  if (end > start)\n    fn(block, Extract.TEXT, start, end)\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Position table\n */\nexport type PositionTable = number[][]\n\n/**\n * Position\n */\nexport type Position = number\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Highlight all occurrences in a string\n *\n * This function receives a field's value (e.g. like `title` or `text`), it's\n * position table that was generated during indexing, and the positions found\n * when executing the query. It then highlights all occurrences, and returns\n * their concatenation. In case of multiple blocks, two are returned.\n *\n * @param input - Input value\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string value\n */\nexport function highlight(\n  input: string, table: PositionTable, positions: Position[], full = false\n): string {\n  return highlightAll([input], table, positions, full).pop()!\n}\n\n/**\n * Highlight all occurrences in a set of strings\n *\n * @param inputs - Input values\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string values\n */\nexport function highlightAll(\n  inputs: string[], table: PositionTable, positions: Position[], full = false\n): string[] {\n\n  /* Map blocks to input values */\n  const mapping = [0]\n  for (let t = 1; t < table.length; t++) {\n    const prev = table[t - 1]\n    const next = table[t]\n\n    /* Check if table points to new block */\n    const p = prev[prev.length - 1] >>> 2 & 0x3FF\n    const q = next[0]               >>> 12\n\n    /* Add block to mapping */\n    mapping.push(+(p > q) + mapping[mapping.length - 1])\n  }\n\n  /* Highlight strings one after another */\n  return inputs.map((input, i) => {\n    let cursor = 0\n\n    /* Map occurrences to blocks */\n    const blocks = new Map<number, number[]>()\n    for (const p of positions.sort((a, b) => a - b)) {\n      const index = p & 0xFFFFF\n      const block = p >>> 20\n      if (mapping[block] !== i)\n        continue\n\n      /* Ensure presence of block group */\n      let group = blocks.get(block)\n      if (typeof group === \"undefined\")\n        blocks.set(block, group = [])\n\n      /* Add index to group */\n      group.push(index)\n    }\n\n    /* Just return string, if no occurrences */\n    if (blocks.size === 0)\n      return input\n\n    /* Compute slices */\n    const slices: string[] = []\n    for (const [block, indexes] of blocks) {\n      const t = table[block]\n\n      /* Extract positions and length */\n      const start  = t[0]            >>> 12\n      const end    = t[t.length - 1] >>> 12\n      const length = t[t.length - 1] >>> 2 & 0x3FF\n\n      /* Add prefix, if full results are desired */\n      if (full && start > cursor)\n        slices.push(input.slice(cursor, start))\n\n      /* Extract and highlight slice */\n      let slice = input.slice(start, end + length)\n      for (const j of indexes.sort((a, b) => b - a)) {\n\n        /* Retrieve offset and length of match */\n        const p = (t[j] >>> 12) - start\n        const q = (t[j] >>> 2 & 0x3FF) + p\n\n        /* Wrap occurrence */\n        slice = [\n          slice.slice(0, p),\n          \"<mark>\",\n          slice.slice(p, q),\n          \"</mark>\",\n          slice.slice(q)\n        ].join(\"\")\n      }\n\n      /* Update cursor */\n      cursor = end + length\n\n      /* Append slice and abort if we have two */\n      if (slices.push(slice) === 2)\n        break\n    }\n\n    /* Add suffix, if full results are desired */\n    if (full && cursor < input.length)\n      slices.push(input.slice(cursor))\n\n    /* Return highlighted slices */\n    return slices.join(\"\")\n  })\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../_\"\nimport {\n  Extract,\n  extract\n} from \"../extract\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string or set of strings into tokens\n *\n * This tokenizer supersedes the default tokenizer that is provided by Lunr.js,\n * as it is aware of HTML tags and allows for multi-character splitting.\n *\n * It takes the given inputs, splits each of them into markup and text sections,\n * tokenizes and segments (if necessary) each of them, and then indexes them in\n * a table by using a compact bit representation. Bitwise techniques are used\n * to write and read from the table during indexing and querying.\n *\n * @see https://bit.ly/3W3Xw4J - Search: better, faster, smaller\n *\n * @param input - Input value(s)\n *\n * @returns Tokens\n */\nexport function tokenize(\n  input?: string | string[]\n): lunr.Token[] {\n  const tokens: lunr.Token[] = []\n  if (typeof input === \"undefined\")\n    return tokens\n\n  /* Tokenize strings one after another */\n  const inputs = Array.isArray(input) ? input : [input]\n  for (let i = 0; i < inputs.length; i++) {\n    const table = lunr.tokenizer.table\n    const total = table.length\n\n    /* Split string into sections and tokenize content blocks */\n    extract(inputs[i], (block, type, start, end) => {\n      table[block += total] ||= []\n      switch (type) {\n\n        /* Handle markup */\n        case Extract.TAG_OPEN:\n        case Extract.TAG_CLOSE:\n          table[block].push(\n            start       << 12 |\n            end - start <<  2 |\n            type\n          )\n          break\n\n        /* Handle text content */\n        case Extract.TEXT:\n          const section = inputs[i].slice(start, end)\n          split(section, lunr.tokenizer.separator, (index, until) => {\n\n            /**\n             * Apply segmenter after tokenization. Note that the segmenter will\n             * also split words at word boundaries, which is not what we want,\n             * so we need to check if we can somehow mitigate this behavior.\n             */\n            if (typeof lunr.segmenter !== \"undefined\") {\n              const subsection = section.slice(index, until)\n              if (/^[MHIK]$/.test(lunr.segmenter.ctype_(subsection))) {\n                const segments = lunr.segmenter.segment(subsection)\n                for (let s = 0, l = 0; s < segments.length; s++) {\n\n                  /* Add block to section */\n                  table[block] ||= []\n                  table[block].push(\n                    start + index + l  << 12 |\n                    segments[s].length <<  2 |\n                    type\n                  )\n\n                  /* Add token with position */\n                  tokens.push(new lunr.Token(\n                    segments[s].toLowerCase(), {\n                      position: block << 20 | table[block].length - 1\n                    }\n                  ))\n\n                  /* Keep track of length */\n                  l += segments[s].length\n                }\n                return\n              }\n            }\n\n            /* Add block to section */\n            table[block].push(\n              start + index << 12 |\n              until - index <<  2 |\n              type\n            )\n\n            /* Add token with position */\n            tokens.push(new lunr.Token(\n              section.slice(index, until).toLowerCase(), {\n                position: block << 20 | table[block].length - 1\n              }\n            ))\n          })\n      }\n    })\n  }\n\n  /* Return tokens */\n  return tokens\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param value - String value\n *\n * @returns String term(s)\n */\ntype VisitorFn = (\n  value: string\n) => string | string[]\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Trim excess whitespace from left and right.\n *\n * 2. Search for parts in quotation marks and prepend a `+` modifier to denote\n *    that the resulting document must contain all parts, converting the query\n *    to an `AND` query (as opposed to the default `OR` behavior). While users\n *    may expect parts enclosed in quotation marks to map to span queries, i.e.\n *    for which order is important, Lunr.js doesn't support them, so the best\n *    we can do is to convert the parts to an `AND` query.\n *\n * 3. Replace control characters which are not located at the beginning of the\n *    query or preceded by white space, or are not followed by a non-whitespace\n *    character or are at the end of the query string. Furthermore, filter\n *    unmatched quotation marks.\n *\n * 4. Split the query string at whitespace, then pass each part to the visitor\n *    function for tokenization, and append a wildcard to every resulting term\n *    that is not explicitly marked with a `+`, `-`, `~` or `^` modifier, since\n *    it ensures consistent and stable ranking when multiple terms are entered.\n *    Also, if a fuzzy or boost modifier are given, but no numeric value has\n *    been entered, default to 1 to not induce a query error.\n *\n * @param query - Query value\n * @param fn - Visitor function\n *\n * @returns Transformed query value\n */\nexport function transform(\n  query: string, fn: VisitorFn = term => term\n): string {\n  return query\n\n    /* => 1 */\n    .trim()\n\n    /* => 2 */\n    .split(/\"([^\"]+)\"/g)\n      .map((parts, index) => index & 1\n        ? parts.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n        : parts\n      )\n      .join(\"\")\n\n    /* => 3 */\n    .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\")\n\n    /* => 4 */\n    .split(/\\s+/g)\n      .reduce((prev, term) => {\n        const next = fn(term)\n        return [...prev, ...Array.isArray(next) ? next : [next]]\n      }, [] as string[])\n      .map(term => /([~^]$)/.test(term) ? `${term}1` : term)\n      .map(term => /(^[+-]|[~^]\\d+$)/.test(term) ? term : `${term}*`)\n      .join(\" \")\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../../internal\"\nimport { transform } from \"../transform\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n  presence: lunr.Query.presence        /* Clause presence */\n  term: string                         /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record<string, boolean>\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Transform search query\n *\n * This function lexes the given search query and applies the transformation\n * function to each term, preserving markup like `+` and `-` modifiers.\n *\n * @param query - Search query\n *\n * @returns Search query\n */\nexport function transformSearchQuery(\n  query: string\n): string {\n\n  /* Split query terms with tokenizer */\n  return transform(query, part => {\n    const terms: string[] = []\n\n    /* Initialize lexer and analyze part */\n    const lexer = new lunr.QueryLexer(part)\n    lexer.run()\n\n    /* Extract and tokenize term from lexeme */\n    for (const { type, str: term, start, end } of lexer.lexemes)\n      switch (type) {\n\n        /* Hack: remove colon - see https://bit.ly/3wD3T3I */\n        case \"FIELD\":\n          if (![\"title\", \"text\", \"tags\"].includes(term))\n            part = [\n              part.slice(0, end),\n              \" \",\n              part.slice(end + 1)\n            ].join(\"\")\n          break\n\n        /* Tokenize term */\n        case \"TERM\":\n          split(term, lunr.tokenizer.separator, (...range) => {\n            terms.push([\n              part.slice(0, start),\n              term.slice(...range),\n              part.slice(end)\n            ].join(\"\"))\n          })\n      }\n\n    /* Return terms */\n    return terms\n  })\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * Lunr.js itself has a bug where it doesn't detect or remove wildcards for\n * query clauses, so we must do this here.\n *\n * @see https://bit.ly/3DpTGtz - GitHub issue\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n  value: string\n): SearchQueryClause[] {\n  const query  = new lunr.Query([\"title\", \"text\", \"tags\"])\n  const parser = new lunr.QueryParser(value, query)\n\n  /* Parse Search query */\n  parser.parse()\n  for (const clause of query.clauses) {\n    clause.usePipeline = true\n\n    /* Handle leading wildcard */\n    if (clause.term.startsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.LEADING\n      clause.term = clause.term.slice(1)\n    }\n\n    /* Handle trailing wildcard */\n    if (clause.term.endsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.TRAILING\n      clause.term = clause.term.slice(0, -1)\n    }\n  }\n\n  /* Return query clauses */\n  return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n  query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n  const clauses = new Set<SearchQueryClause>(query)\n\n  /* Match query clauses against terms */\n  const result: SearchQueryTerms = {}\n  for (let t = 0; t < terms.length; t++)\n    for (const clause of clauses)\n      if (terms[t].startsWith(clause.term)) {\n        result[clause.term] = true\n        clauses.delete(clause)\n      }\n\n  /* Annotate unmatched non-stopword query clauses */\n  for (const clause of clauses)\n    if (lunr.stopWordFilter?.(clause.term))\n      result[clause.term] = false\n\n  /* Return query terms */\n  return result\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Segment a search query using the inverted index\n *\n * This function implements a clever approach to text segmentation for Asian\n * languages, as it used the information already available in the search index.\n * The idea is to greedily segment the search query based on the tokens that are\n * already part of the index, as described in the linked issue.\n *\n * @see https://bit.ly/3lwjrk7 - GitHub issue\n *\n * @param query - Query value\n * @param index - Inverted index\n *\n * @returns Segmented query value\n */\nexport function segment(\n  query: string, index: object\n): Iterable<string> {\n  const segments = new Set<string>()\n\n  /* Segment search query */\n  const wordcuts = new Uint16Array(query.length)\n  for (let i = 0; i < query.length; i++)\n    for (let j = i + 1; j < query.length; j++) {\n      const value = query.slice(i, j)\n      if (value in index)\n        wordcuts[i] = j - i\n    }\n\n  /* Compute longest matches with minimum overlap */\n  const stack = [0]\n  for (let s = stack.length; s > 0;) {\n    const p = stack[--s]\n    for (let q = 1; q < wordcuts[p]; q++)\n      if (wordcuts[p + q] > wordcuts[p] - q) {\n        segments.add(query.slice(p, p + q))\n        stack[s++] = p + q\n      }\n\n    /* Continue at end of query string */\n    const q = p + wordcuts[p]\n    if (wordcuts[q] && q < query.length - 1)\n      stack[s++] = q\n\n    /* Add current segment */\n    segments.add(query.slice(p, q))\n  }\n\n  // @todo fix this case in the code block above, this is a hotfix\n  if (segments.has(\"\"))\n    return new Set([query])\n\n  /* Return segmented query value */\n  return segments\n}\n", "/*\n * Copyright (c) 2016-2025 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  SearchDocument,\n  SearchIndex,\n  SearchOptions,\n  setupSearchDocumentMap\n} from \"../config\"\nimport {\n  Position,\n  PositionTable,\n  highlight,\n  highlightAll,\n  tokenize\n} from \"../internal\"\nimport {\n  SearchQueryTerms,\n  getSearchQueryTerms,\n  parseSearchQuery,\n  segment,\n  transformSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search item\n */\nexport interface SearchItem\n  extends SearchDocument\n{\n  score: number                        /* Score (relevance) */\n  terms: SearchQueryTerms              /* Search query terms */\n}\n\n/**\n * Search result\n */\nexport interface SearchResult {\n  items: SearchItem[][]                /* Search items */\n  suggest?: string[]                   /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create field extractor factory\n *\n * @param table - Position table map\n *\n * @returns Extractor factory\n */\nfunction extractor(table: Map<string, PositionTable>) {\n  return (name: keyof SearchDocument) => {\n    return (doc: SearchDocument) => {\n      if (typeof doc[name] === \"undefined\")\n        return undefined\n\n      /* Compute identifier and initialize table */\n      const id = [doc.location, name].join(\":\")\n      table.set(id, lunr.tokenizer.table = [])\n\n      /* Return field value */\n      return doc[name]\n    }\n  }\n}\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n  const [x, y] = [new Set(a), new Set(b)]\n  return [\n    ...new Set([...x].filter(value => !y.has(value)))\n  ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n  /**\n   * Search document map\n   */\n  protected map: Map<string, SearchDocument>\n\n  /**\n   * Search options\n   */\n  protected options: SearchOptions\n\n  /**\n   * The underlying Lunr.js search index\n   */\n  protected index: lunr.Index\n\n  /**\n   * Internal position table map\n   */\n  protected table: Map<string, PositionTable>\n\n  /**\n   * Create the search integration\n   *\n   * @param data - Search index\n   */\n  public constructor({ config, docs, options }: SearchIndex) {\n    const field = extractor(this.table = new Map())\n\n    /* Set up document map and options */\n    this.map = setupSearchDocumentMap(docs)\n    this.options = options\n\n    /* Set up document index */\n    this.index = lunr(function () {\n      this.metadataWhitelist = [\"position\"]\n      this.b(0)\n\n      /* Set up (multi-)language support */\n      if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n        // @ts-expect-error - namespace indexing not supported\n        this.use(lunr[config.lang[0]])\n      } else if (config.lang.length > 1) {\n        this.use(lunr.multiLanguage(...config.lang))\n      }\n\n      /* Set up custom tokenizer (must be after language setup) */\n      this.tokenizer = tokenize as typeof lunr.tokenizer\n      lunr.tokenizer.separator = new RegExp(config.separator)\n\n      /* Set up custom segmenter, if loaded */\n      lunr.segmenter = \"TinySegmenter\" in lunr\n        ? new lunr.TinySegmenter()\n        : undefined\n\n      /* Compute functions to be removed from the pipeline */\n      const fns = difference([\n        \"trimmer\", \"stopWordFilter\", \"stemmer\"\n      ], config.pipeline)\n\n      /* Remove functions from the pipeline for registered languages */\n      for (const lang of config.lang.map(language => (\n        // @ts-expect-error - namespace indexing not supported\n        language === \"en\" ? lunr : lunr[language]\n      )))\n        for (const fn of fns) {\n          this.pipeline.remove(lang[fn])\n          this.searchPipeline.remove(lang[fn])\n        }\n\n      /* Set up index reference */\n      this.ref(\"location\")\n\n      /* Set up index fields */\n      for (const [name, spec] of Object.entries(config.fields))\n        // @ts-expect-error - fix typings, if this proves to be a good idea\n        this.field(name, { ...spec, extractor: field(name) })\n\n      /* Add documents to index */\n      for (const doc of docs)\n        this.add(doc, { boost: doc.boost })\n    })\n  }\n\n  /**\n   * Search for matching documents\n   *\n   * @param query - Search query\n   *\n   * @returns Search result\n   */\n  public search(query: string): SearchResult {\n\n    // Experimental Chinese segmentation\n    query = query.replace(/\\p{sc=Han}+/gu, value => {\n      return [...segment(value, this.index.invertedIndex)]\n        .join(\"* \")\n    })\n\n    // @todo: move segmenter (above) into transformSearchQuery\n    query = transformSearchQuery(query)\n    if (!query)\n      return { items: [] }\n\n    /* Parse query to extract clauses for analysis */\n    const clauses = parseSearchQuery(query)\n      .filter(clause => (\n        clause.presence !== lunr.Query.presence.PROHIBITED\n      ))\n\n    /* Perform search and post-process results */\n    const groups = this.index.search(query)\n\n      /* Apply post-query boosts based on title and search query terms */\n      .reduce<SearchItem[]>((item, { ref, score, matchData }) => {\n        let doc = this.map.get(ref)\n        if (typeof doc !== \"undefined\") {\n\n          /* Shallow copy document */\n          doc = { ...doc }\n          if (doc.tags)\n            doc.tags = [...doc.tags]\n\n          /* Compute and analyze search query terms */\n          const terms = getSearchQueryTerms(\n            clauses,\n            Object.keys(matchData.metadata)\n          )\n\n          /* Highlight matches in fields */\n          for (const field of this.index.fields) {\n            if (typeof doc[field] === \"undefined\")\n              continue\n\n            /* Collect positions from matches */\n            const positions: Position[] = []\n            for (const match of Object.values(matchData.metadata))\n              if (typeof match[field] !== \"undefined\")\n                positions.push(...match[field].position)\n\n            /* Skip highlighting, if no positions were collected */\n            if (!positions.length)\n              continue\n\n            /* Load table and determine highlighting method */\n            const table = this.table.get([doc.location, field].join(\":\"))!\n            const fn = Array.isArray(doc[field])\n              ? highlightAll\n              : highlight\n\n            // @ts-expect-error - stop moaning, TypeScript!\n            doc[field] = fn(doc[field], table, positions, field !== \"text\")\n          }\n\n          /* Highlight title and text and apply post-query boosts */\n          const boost = +!doc.parent +\n            Object.values(terms)\n              .filter(t => t).length /\n            Object.keys(terms).length\n\n          /* Append item */\n          item.push({\n            ...doc,\n            score: score * (1 + boost ** 2),\n            terms\n          })\n        }\n        return item\n      }, [])\n\n      /* Sort search results again after applying boosts */\n      .sort((a, b) => b.score - a.score)\n\n      /* Group search results by article */\n      .reduce((items, result) => {\n        const doc = this.map.get(result.location)\n        if (typeof doc !== \"undefined\") {\n          const ref = doc.parent\n            ? doc.parent.location\n            : doc.location\n          items.set(ref, [...items.get(ref) || [], result])\n        }\n        return items\n      }, new Map<string, SearchItem[]>())\n\n    /* Ensure that every item set has an article */\n    for (const [ref, items] of groups)\n      if (!items.find(item => item.location === ref)) {\n        const doc = this.map.get(ref)!\n        items.push({ ...doc, score: 0, terms: {} })\n      }\n\n    /* Generate search suggestions, if desired */\n    let suggest: string[] | undefined\n    if (this.options.suggest) {\n      const titles = this.index.query(builder => {\n        for (const clause of clauses)\n          builder.term(clause.term, {\n            fields: [\"title\"],\n            presence: lunr.Query.presence.REQUIRED,\n            wildcard: lunr.Query.wildcard.TRAILING\n          })\n      })\n\n      /* Retrieve suggestions for best match */\n      suggest = titles.length\n        ? Object.keys(titles[0].matchData.metadata)\n        : []\n    }\n\n    /* Return search result */\n    return {\n      items: [...groups.values()],\n      ...typeof suggest !== \"undefined\" && { suggest }\n    }\n  }\n}\n"],
-  "mappings": 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deleted file mode 100644
index a2b5000ad36e1e1bbda8bcdd76c4ac6bbd9af3bd..0000000000000000000000000000000000000000
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\ No newline at end of file
diff --git a/site/assets/stylesheets/palette.ab4e12ef.min.css b/site/assets/stylesheets/palette.ab4e12ef.min.css
deleted file mode 100644
index 75aaf84253d98be952d99c5507d0b59e03e73334..0000000000000000000000000000000000000000
--- a/site/assets/stylesheets/palette.ab4e12ef.min.css
+++ /dev/null
@@ -1 +0,0 @@
-@media 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0.2rem 0.5rem #0000000d,0 0 0.05rem #0000001a;--md-shadow-z2:0 0.2rem 0.5rem #00000040,0 0 0.05rem #00000040;--md-shadow-z3:0 0.2rem 0.5rem #0006,0 0 0.05rem #00000059;color-scheme:dark}[data-md-color-scheme=slate] img[src$="#gh-light-mode-only"],[data-md-color-scheme=slate] 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diff --git a/site/configuration/index.html b/site/configuration/index.html
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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Generalist Deep Research Agent that Stops at Nothing"><meta name=author content="The DeepCritical Team"><link href=https://deepcritical.github.io/GradioDemo/configuration/ rel=canonical><link href=../getting-started/examples/ rel=prev><link href=../architecture/graph_orchestration/ rel=next><link rel=icon href=../assets/images/favicon.png><meta name=generator content="mkdocs-1.6.1, mkdocs-material-9.7.0"><title>Configuration Guide - The DETERMINATOR</title><link rel=stylesheet href=../assets/stylesheets/main.618322db.min.css><link rel=stylesheet href=../assets/stylesheets/palette.ab4e12ef.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet 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class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=configuration-guide>Configuration Guide<a class=headerlink href=#configuration-guide title="Anchor link to this section">&para;</a></h1> <h2 id=overview>Overview<a class=headerlink href=#overview title="Anchor link to this section">&para;</a></h2> <p>DeepCritical uses <strong>Pydantic Settings</strong> for centralized configuration management. All settings are defined in the <code>Settings</code> class in <code>src/utils/config.py</code> and can be configured via environment variables or a <code>.env</code> file.</p> <p>The configuration system provides:</p> <ul> <li><strong>Type Safety</strong>: Strongly-typed fields with Pydantic validation</li> <li><strong>Environment File Support</strong>: Automatically loads from <code>.env</code> file (if present)</li> <li><strong>Case-Insensitive</strong>: Environment variables are case-insensitive</li> <li><strong>Singleton Pattern</strong>: Global <code>settings</code> instance for easy access throughout the codebase</li> <li><strong>Validation</strong>: Automatic validation on load with helpful error messages</li> </ul> <h2 id=quick-start>Quick Start<a class=headerlink href=#quick-start title="Anchor link to this section">&para;</a></h2> <ol> <li>Create a <code>.env</code> file in the project root</li> <li>Set at least one LLM API key (<code>OPENAI_API_KEY</code>, <code>ANTHROPIC_API_KEY</code>, or <code>HF_TOKEN</code>)</li> <li>Optionally configure other services as needed</li> <li>The application will automatically load and validate your configuration</li> </ol> <h2 id=configuration-system-architecture>Configuration System Architecture<a class=headerlink href=#configuration-system-architecture title="Anchor link to this section">&para;</a></h2> <h3 id=settings-class>Settings Class<a class=headerlink href=#settings-class title="Anchor link to this section">&para;</a></h3> <p>The [<code>Settings</code>][settings-class] class extends <code>BaseSettings</code> from <code>pydantic_settings</code> and defines all application configuration:</p> <p><a href=https://github.com/DeepCritical/GradioDemo/blob/main/src/utils/config.py#L13-L21>View source</a></p> <h3 id=singleton-instance>Singleton Instance<a class=headerlink href=#singleton-instance title="Anchor link to this section">&para;</a></h3> <p>A global <code>settings</code> instance is available for import:</p> <p><a href=https://github.com/DeepCritical/GradioDemo/blob/main/src/utils/config.py#L234-L235>View source</a></p> <h3 id=usage-pattern>Usage Pattern<a class=headerlink href=#usage-pattern title="Anchor link to this section">&para;</a></h3> <p>Access configuration throughout the codebase:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.utils.config</span><span class=w> </span><span class=kn>import</span> <span class=n>settings</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=c1># Check if API keys are available</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_openai_key</span><span class=p>:</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>    <span class=c1># Use OpenAI</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>    <span class=k>pass</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a><span class=c1># Access configuration values</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a><span class=n>max_iterations</span> <span class=o>=</span> <span class=n>settings</span><span class=o>.</span><span class=n>max_iterations</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a><span class=n>web_search_provider</span> <span class=o>=</span> <span class=n>settings</span><span class=o>.</span><span class=n>web_search_provider</span>
-</span></code></pre></div> <h2 id=required-configuration>Required Configuration<a class=headerlink href=#required-configuration title="Anchor link to this section">&para;</a></h2> <h3 id=llm-provider>LLM Provider<a class=headerlink href=#llm-provider title="Anchor link to this section">&para;</a></h3> <p>You must configure at least one LLM provider. The system supports:</p> <ul> <li><strong>OpenAI</strong>: Requires <code>OPENAI_API_KEY</code></li> <li><strong>Anthropic</strong>: Requires <code>ANTHROPIC_API_KEY</code></li> <li><strong>HuggingFace</strong>: Optional <code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> (can work without key for public models)</li> </ul> <h4 id=openai-configuration>OpenAI Configuration<a class=headerlink href=#openai-configuration title="Anchor link to this section">&para;</a></h4> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=nv>LLM_PROVIDER</span><span class=o>=</span>openai
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a><span class=nv>OPENAI_API_KEY</span><span class=o>=</span>your_openai_api_key_here
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a><span class=nv>OPENAI_MODEL</span><span class=o>=</span>gpt-5.1
-</span></code></pre></div> <p>The default model is defined in the <code>Settings</code> class:</p> <h4 id=anthropic-configuration>Anthropic Configuration<a class=headerlink href=#anthropic-configuration title="Anchor link to this section">&para;</a></h4> <div class="language-bash highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=nv>LLM_PROVIDER</span><span class=o>=</span>anthropic
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a><span class=nv>ANTHROPIC_API_KEY</span><span class=o>=</span>your_anthropic_api_key_here
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a><span class=nv>ANTHROPIC_MODEL</span><span class=o>=</span>claude-sonnet-4-5-20250929
-</span></code></pre></div> <p>The default model is defined in the <code>Settings</code> class:</p> <h4 id=huggingface-configuration>HuggingFace Configuration<a class=headerlink href=#huggingface-configuration title="Anchor link to this section">&para;</a></h4> <p>HuggingFace can work without an API key for public models, but an API key provides higher rate limits:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a><span class=c1># Option 1: Using HF_TOKEN (preferred)</span>
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a><span class=nv>HF_TOKEN</span><span class=o>=</span>your_huggingface_token_here
-</span><span id=__span-3-3><a id=__codelineno-3-3 name=__codelineno-3-3 href=#__codelineno-3-3></a>
-</span><span id=__span-3-4><a id=__codelineno-3-4 name=__codelineno-3-4 href=#__codelineno-3-4></a><span class=c1># Option 2: Using HUGGINGFACE_API_KEY (alternative)</span>
-</span><span id=__span-3-5><a id=__codelineno-3-5 name=__codelineno-3-5 href=#__codelineno-3-5></a><span class=nv>HUGGINGFACE_API_KEY</span><span class=o>=</span>your_huggingface_api_key_here
-</span><span id=__span-3-6><a id=__codelineno-3-6 name=__codelineno-3-6 href=#__codelineno-3-6></a>
-</span><span id=__span-3-7><a id=__codelineno-3-7 name=__codelineno-3-7 href=#__codelineno-3-7></a><span class=c1># Default model</span>
-</span><span id=__span-3-8><a id=__codelineno-3-8 name=__codelineno-3-8 href=#__codelineno-3-8></a><span class=nv>HUGGINGFACE_MODEL</span><span class=o>=</span>meta-llama/Llama-3.1-8B-Instruct
-</span></code></pre></div> <p>The HuggingFace token can be set via either environment variable:</p> <h2 id=optional-configuration>Optional Configuration<a class=headerlink href=#optional-configuration title="Anchor link to this section">&para;</a></h2> <h3 id=embedding-configuration>Embedding Configuration<a class=headerlink href=#embedding-configuration title="Anchor link to this section">&para;</a></h3> <p>DeepCritical supports multiple embedding providers for semantic search and RAG:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a><span class=c1># Embedding Provider: &quot;openai&quot;, &quot;local&quot;, or &quot;huggingface&quot;</span>
-</span><span id=__span-4-2><a id=__codelineno-4-2 name=__codelineno-4-2 href=#__codelineno-4-2></a><span class=nv>EMBEDDING_PROVIDER</span><span class=o>=</span><span class=nb>local</span>
-</span><span id=__span-4-3><a id=__codelineno-4-3 name=__codelineno-4-3 href=#__codelineno-4-3></a>
-</span><span id=__span-4-4><a id=__codelineno-4-4 name=__codelineno-4-4 href=#__codelineno-4-4></a><span class=c1># OpenAI Embedding Model (used by LlamaIndex RAG)</span>
-</span><span id=__span-4-5><a id=__codelineno-4-5 name=__codelineno-4-5 href=#__codelineno-4-5></a><span class=nv>OPENAI_EMBEDDING_MODEL</span><span class=o>=</span>text-embedding-3-small
-</span><span id=__span-4-6><a id=__codelineno-4-6 name=__codelineno-4-6 href=#__codelineno-4-6></a>
-</span><span id=__span-4-7><a id=__codelineno-4-7 name=__codelineno-4-7 href=#__codelineno-4-7></a><span class=c1># Local Embedding Model (sentence-transformers, used by EmbeddingService)</span>
-</span><span id=__span-4-8><a id=__codelineno-4-8 name=__codelineno-4-8 href=#__codelineno-4-8></a><span class=nv>LOCAL_EMBEDDING_MODEL</span><span class=o>=</span>all-MiniLM-L6-v2
-</span><span id=__span-4-9><a id=__codelineno-4-9 name=__codelineno-4-9 href=#__codelineno-4-9></a>
-</span><span id=__span-4-10><a id=__codelineno-4-10 name=__codelineno-4-10 href=#__codelineno-4-10></a><span class=c1># HuggingFace Embedding Model</span>
-</span><span id=__span-4-11><a id=__codelineno-4-11 name=__codelineno-4-11 href=#__codelineno-4-11></a><span class=nv>HUGGINGFACE_EMBEDDING_MODEL</span><span class=o>=</span>sentence-transformers/all-MiniLM-L6-v2
-</span></code></pre></div> <p>The embedding provider configuration:</p> <p><strong>Note</strong>: OpenAI embeddings require <code>OPENAI_API_KEY</code>. The local provider (default) uses sentence-transformers and requires no API key.</p> <h3 id=web-search-configuration>Web Search Configuration<a class=headerlink href=#web-search-configuration title="Anchor link to this section">&para;</a></h3> <p>DeepCritical supports multiple web search providers:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a><span class=c1># Web Search Provider: &quot;serper&quot;, &quot;searchxng&quot;, &quot;brave&quot;, &quot;tavily&quot;, or &quot;duckduckgo&quot;</span>
-</span><span id=__span-5-2><a id=__codelineno-5-2 name=__codelineno-5-2 href=#__codelineno-5-2></a><span class=c1># Default: &quot;duckduckgo&quot; (no API key required)</span>
-</span><span id=__span-5-3><a id=__codelineno-5-3 name=__codelineno-5-3 href=#__codelineno-5-3></a><span class=nv>WEB_SEARCH_PROVIDER</span><span class=o>=</span>duckduckgo
-</span><span id=__span-5-4><a id=__codelineno-5-4 name=__codelineno-5-4 href=#__codelineno-5-4></a>
-</span><span id=__span-5-5><a id=__codelineno-5-5 name=__codelineno-5-5 href=#__codelineno-5-5></a><span class=c1># Serper API Key (for Google search via Serper)</span>
-</span><span id=__span-5-6><a id=__codelineno-5-6 name=__codelineno-5-6 href=#__codelineno-5-6></a><span class=nv>SERPER_API_KEY</span><span class=o>=</span>your_serper_api_key_here
-</span><span id=__span-5-7><a id=__codelineno-5-7 name=__codelineno-5-7 href=#__codelineno-5-7></a>
-</span><span id=__span-5-8><a id=__codelineno-5-8 name=__codelineno-5-8 href=#__codelineno-5-8></a><span class=c1># SearchXNG Host URL (for self-hosted search)</span>
-</span><span id=__span-5-9><a id=__codelineno-5-9 name=__codelineno-5-9 href=#__codelineno-5-9></a><span class=nv>SEARCHXNG_HOST</span><span class=o>=</span>http://localhost:8080
-</span><span id=__span-5-10><a id=__codelineno-5-10 name=__codelineno-5-10 href=#__codelineno-5-10></a>
-</span><span id=__span-5-11><a id=__codelineno-5-11 name=__codelineno-5-11 href=#__codelineno-5-11></a><span class=c1># Brave Search API Key</span>
-</span><span id=__span-5-12><a id=__codelineno-5-12 name=__codelineno-5-12 href=#__codelineno-5-12></a><span class=nv>BRAVE_API_KEY</span><span class=o>=</span>your_brave_api_key_here
-</span><span id=__span-5-13><a id=__codelineno-5-13 name=__codelineno-5-13 href=#__codelineno-5-13></a>
-</span><span id=__span-5-14><a id=__codelineno-5-14 name=__codelineno-5-14 href=#__codelineno-5-14></a><span class=c1># Tavily API Key</span>
-</span><span id=__span-5-15><a id=__codelineno-5-15 name=__codelineno-5-15 href=#__codelineno-5-15></a><span class=nv>TAVILY_API_KEY</span><span class=o>=</span>your_tavily_api_key_here
-</span></code></pre></div> <p>The web search provider configuration:</p> <p><strong>Note</strong>: DuckDuckGo is the default and requires no API key, making it ideal for development and testing.</p> <h3 id=pubmed-configuration>PubMed Configuration<a class=headerlink href=#pubmed-configuration title="Anchor link to this section">&para;</a></h3> <p>PubMed search supports optional NCBI API key for higher rate limits:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a><span class=c1># NCBI API Key (optional, for higher rate limits: 10 req/sec vs 3 req/sec)</span>
-</span><span id=__span-6-2><a id=__codelineno-6-2 name=__codelineno-6-2 href=#__codelineno-6-2></a><span class=nv>NCBI_API_KEY</span><span class=o>=</span>your_ncbi_api_key_here
-</span></code></pre></div> <p>The PubMed tool uses this configuration:</p> <h3 id=agent-configuration>Agent Configuration<a class=headerlink href=#agent-configuration title="Anchor link to this section">&para;</a></h3> <p>Control agent behavior and research loop execution:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a><span class=c1># Maximum iterations per research loop (1-50, default: 10)</span>
-</span><span id=__span-7-2><a id=__codelineno-7-2 name=__codelineno-7-2 href=#__codelineno-7-2></a><span class=nv>MAX_ITERATIONS</span><span class=o>=</span><span class=m>10</span>
-</span><span id=__span-7-3><a id=__codelineno-7-3 name=__codelineno-7-3 href=#__codelineno-7-3></a>
-</span><span id=__span-7-4><a id=__codelineno-7-4 name=__codelineno-7-4 href=#__codelineno-7-4></a><span class=c1># Search timeout in seconds</span>
-</span><span id=__span-7-5><a id=__codelineno-7-5 name=__codelineno-7-5 href=#__codelineno-7-5></a><span class=nv>SEARCH_TIMEOUT</span><span class=o>=</span><span class=m>30</span>
-</span><span id=__span-7-6><a id=__codelineno-7-6 name=__codelineno-7-6 href=#__codelineno-7-6></a>
-</span><span id=__span-7-7><a id=__codelineno-7-7 name=__codelineno-7-7 href=#__codelineno-7-7></a><span class=c1># Use graph-based execution for research flows</span>
-</span><span id=__span-7-8><a id=__codelineno-7-8 name=__codelineno-7-8 href=#__codelineno-7-8></a><span class=nv>USE_GRAPH_EXECUTION</span><span class=o>=</span><span class=nb>false</span>
-</span></code></pre></div> <p>The agent configuration fields:</p> <h3 id=budget--rate-limiting-configuration>Budget &amp; Rate Limiting Configuration<a class=headerlink href=#budget--rate-limiting-configuration title="Anchor link to this section">&para;</a></h3> <p>Control resource limits for research loops:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a><span class=c1># Default token budget per research loop (1000-1000000, default: 100000)</span>
-</span><span id=__span-8-2><a id=__codelineno-8-2 name=__codelineno-8-2 href=#__codelineno-8-2></a><span class=nv>DEFAULT_TOKEN_LIMIT</span><span class=o>=</span><span class=m>100000</span>
-</span><span id=__span-8-3><a id=__codelineno-8-3 name=__codelineno-8-3 href=#__codelineno-8-3></a>
-</span><span id=__span-8-4><a id=__codelineno-8-4 name=__codelineno-8-4 href=#__codelineno-8-4></a><span class=c1># Default time limit per research loop in minutes (1-120, default: 10)</span>
-</span><span id=__span-8-5><a id=__codelineno-8-5 name=__codelineno-8-5 href=#__codelineno-8-5></a><span class=nv>DEFAULT_TIME_LIMIT_MINUTES</span><span class=o>=</span><span class=m>10</span>
-</span><span id=__span-8-6><a id=__codelineno-8-6 name=__codelineno-8-6 href=#__codelineno-8-6></a>
-</span><span id=__span-8-7><a id=__codelineno-8-7 name=__codelineno-8-7 href=#__codelineno-8-7></a><span class=c1># Default iterations limit per research loop (1-50, default: 10)</span>
-</span><span id=__span-8-8><a id=__codelineno-8-8 name=__codelineno-8-8 href=#__codelineno-8-8></a><span class=nv>DEFAULT_ITERATIONS_LIMIT</span><span class=o>=</span><span class=m>10</span>
-</span></code></pre></div> <p>The budget configuration with validation:</p> <h3 id=rag-service-configuration>RAG Service Configuration<a class=headerlink href=#rag-service-configuration title="Anchor link to this section">&para;</a></h3> <p>Configure the Retrieval-Augmented Generation service:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a><span class=c1># ChromaDB collection name for RAG</span>
-</span><span id=__span-9-2><a id=__codelineno-9-2 name=__codelineno-9-2 href=#__codelineno-9-2></a><span class=nv>RAG_COLLECTION_NAME</span><span class=o>=</span>deepcritical_evidence
-</span><span id=__span-9-3><a id=__codelineno-9-3 name=__codelineno-9-3 href=#__codelineno-9-3></a>
-</span><span id=__span-9-4><a id=__codelineno-9-4 name=__codelineno-9-4 href=#__codelineno-9-4></a><span class=c1># Number of top results to retrieve from RAG (1-50, default: 5)</span>
-</span><span id=__span-9-5><a id=__codelineno-9-5 name=__codelineno-9-5 href=#__codelineno-9-5></a><span class=nv>RAG_SIMILARITY_TOP_K</span><span class=o>=</span><span class=m>5</span>
-</span><span id=__span-9-6><a id=__codelineno-9-6 name=__codelineno-9-6 href=#__codelineno-9-6></a>
-</span><span id=__span-9-7><a id=__codelineno-9-7 name=__codelineno-9-7 href=#__codelineno-9-7></a><span class=c1># Automatically ingest evidence into RAG</span>
-</span><span id=__span-9-8><a id=__codelineno-9-8 name=__codelineno-9-8 href=#__codelineno-9-8></a><span class=nv>RAG_AUTO_INGEST</span><span class=o>=</span><span class=nb>true</span>
-</span></code></pre></div> <p>The RAG configuration:</p> <h3 id=chromadb-configuration>ChromaDB Configuration<a class=headerlink href=#chromadb-configuration title="Anchor link to this section">&para;</a></h3> <p>Configure the vector database for embeddings and RAG:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a><span class=c1># ChromaDB storage path</span>
-</span><span id=__span-10-2><a id=__codelineno-10-2 name=__codelineno-10-2 href=#__codelineno-10-2></a><span class=nv>CHROMA_DB_PATH</span><span class=o>=</span>./chroma_db
-</span><span id=__span-10-3><a id=__codelineno-10-3 name=__codelineno-10-3 href=#__codelineno-10-3></a>
-</span><span id=__span-10-4><a id=__codelineno-10-4 name=__codelineno-10-4 href=#__codelineno-10-4></a><span class=c1># Whether to persist ChromaDB to disk</span>
-</span><span id=__span-10-5><a id=__codelineno-10-5 name=__codelineno-10-5 href=#__codelineno-10-5></a><span class=nv>CHROMA_DB_PERSIST</span><span class=o>=</span><span class=nb>true</span>
-</span><span id=__span-10-6><a id=__codelineno-10-6 name=__codelineno-10-6 href=#__codelineno-10-6></a>
-</span><span id=__span-10-7><a id=__codelineno-10-7 name=__codelineno-10-7 href=#__codelineno-10-7></a><span class=c1># ChromaDB server host (for remote ChromaDB, optional)</span>
-</span><span id=__span-10-8><a id=__codelineno-10-8 name=__codelineno-10-8 href=#__codelineno-10-8></a><span class=nv>CHROMA_DB_HOST</span><span class=o>=</span>localhost
-</span><span id=__span-10-9><a id=__codelineno-10-9 name=__codelineno-10-9 href=#__codelineno-10-9></a>
-</span><span id=__span-10-10><a id=__codelineno-10-10 name=__codelineno-10-10 href=#__codelineno-10-10></a><span class=c1># ChromaDB server port (for remote ChromaDB, optional)</span>
-</span><span id=__span-10-11><a id=__codelineno-10-11 name=__codelineno-10-11 href=#__codelineno-10-11></a><span class=nv>CHROMA_DB_PORT</span><span class=o>=</span><span class=m>8000</span>
-</span></code></pre></div> <p>The ChromaDB configuration:</p> <h3 id=external-services>External Services<a class=headerlink href=#external-services title="Anchor link to this section">&para;</a></h3> <h4 id=modal-configuration>Modal Configuration<a class=headerlink href=#modal-configuration title="Anchor link to this section">&para;</a></h4> <p>Modal is used for secure sandbox execution of statistical analysis:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-11-1><a id=__codelineno-11-1 name=__codelineno-11-1 href=#__codelineno-11-1></a><span class=c1># Modal Token ID (for Modal sandbox execution)</span>
-</span><span id=__span-11-2><a id=__codelineno-11-2 name=__codelineno-11-2 href=#__codelineno-11-2></a><span class=nv>MODAL_TOKEN_ID</span><span class=o>=</span>your_modal_token_id_here
-</span><span id=__span-11-3><a id=__codelineno-11-3 name=__codelineno-11-3 href=#__codelineno-11-3></a>
-</span><span id=__span-11-4><a id=__codelineno-11-4 name=__codelineno-11-4 href=#__codelineno-11-4></a><span class=c1># Modal Token Secret</span>
-</span><span id=__span-11-5><a id=__codelineno-11-5 name=__codelineno-11-5 href=#__codelineno-11-5></a><span class=nv>MODAL_TOKEN_SECRET</span><span class=o>=</span>your_modal_token_secret_here
-</span></code></pre></div> <p>The Modal configuration:</p> <h3 id=logging-configuration>Logging Configuration<a class=headerlink href=#logging-configuration title="Anchor link to this section">&para;</a></h3> <p>Configure structured logging:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-12-1><a id=__codelineno-12-1 name=__codelineno-12-1 href=#__codelineno-12-1></a><span class=c1># Log Level: &quot;DEBUG&quot;, &quot;INFO&quot;, &quot;WARNING&quot;, or &quot;ERROR&quot;</span>
-</span><span id=__span-12-2><a id=__codelineno-12-2 name=__codelineno-12-2 href=#__codelineno-12-2></a><span class=nv>LOG_LEVEL</span><span class=o>=</span>INFO
-</span></code></pre></div> <p>The logging configuration:</p> <p>Logging is configured via the <code>configure_logging()</code> function:</p> <h2 id=configuration-properties>Configuration Properties<a class=headerlink href=#configuration-properties title="Anchor link to this section">&para;</a></h2> <p>The <code>Settings</code> class provides helpful properties for checking configuration state:</p> <h3 id=api-key-availability>API Key Availability<a class=headerlink href=#api-key-availability title="Anchor link to this section">&para;</a></h3> <p>Check which API keys are available:</p> <p><strong>Usage:</strong></p> <div class="language-python highlight"><pre><span></span><code><span id=__span-13-1><a id=__codelineno-13-1 name=__codelineno-13-1 href=#__codelineno-13-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.utils.config</span><span class=w> </span><span class=kn>import</span> <span class=n>settings</span>
-</span><span id=__span-13-2><a id=__codelineno-13-2 name=__codelineno-13-2 href=#__codelineno-13-2></a>
-</span><span id=__span-13-3><a id=__codelineno-13-3 name=__codelineno-13-3 href=#__codelineno-13-3></a><span class=c1># Check API key availability</span>
-</span><span id=__span-13-4><a id=__codelineno-13-4 name=__codelineno-13-4 href=#__codelineno-13-4></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_openai_key</span><span class=p>:</span>
-</span><span id=__span-13-5><a id=__codelineno-13-5 name=__codelineno-13-5 href=#__codelineno-13-5></a>    <span class=c1># Use OpenAI</span>
-</span><span id=__span-13-6><a id=__codelineno-13-6 name=__codelineno-13-6 href=#__codelineno-13-6></a>    <span class=k>pass</span>
-</span><span id=__span-13-7><a id=__codelineno-13-7 name=__codelineno-13-7 href=#__codelineno-13-7></a>
-</span><span id=__span-13-8><a id=__codelineno-13-8 name=__codelineno-13-8 href=#__codelineno-13-8></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_anthropic_key</span><span class=p>:</span>
-</span><span id=__span-13-9><a id=__codelineno-13-9 name=__codelineno-13-9 href=#__codelineno-13-9></a>    <span class=c1># Use Anthropic</span>
-</span><span id=__span-13-10><a id=__codelineno-13-10 name=__codelineno-13-10 href=#__codelineno-13-10></a>    <span class=k>pass</span>
-</span><span id=__span-13-11><a id=__codelineno-13-11 name=__codelineno-13-11 href=#__codelineno-13-11></a>
-</span><span id=__span-13-12><a id=__codelineno-13-12 name=__codelineno-13-12 href=#__codelineno-13-12></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_huggingface_key</span><span class=p>:</span>
-</span><span id=__span-13-13><a id=__codelineno-13-13 name=__codelineno-13-13 href=#__codelineno-13-13></a>    <span class=c1># Use HuggingFace</span>
-</span><span id=__span-13-14><a id=__codelineno-13-14 name=__codelineno-13-14 href=#__codelineno-13-14></a>    <span class=k>pass</span>
-</span><span id=__span-13-15><a id=__codelineno-13-15 name=__codelineno-13-15 href=#__codelineno-13-15></a>
-</span><span id=__span-13-16><a id=__codelineno-13-16 name=__codelineno-13-16 href=#__codelineno-13-16></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>has_any_llm_key</span><span class=p>:</span>
-</span><span id=__span-13-17><a id=__codelineno-13-17 name=__codelineno-13-17 href=#__codelineno-13-17></a>    <span class=c1># At least one LLM is available</span>
-</span><span id=__span-13-18><a id=__codelineno-13-18 name=__codelineno-13-18 href=#__codelineno-13-18></a>    <span class=k>pass</span>
-</span></code></pre></div> <h3 id=service-availability>Service Availability<a class=headerlink href=#service-availability title="Anchor link to this section">&para;</a></h3> <p>Check if external services are configured:</p> <p><strong>Usage:</strong></p> <div class="language-python highlight"><pre><span></span><code><span id=__span-14-1><a id=__codelineno-14-1 name=__codelineno-14-1 href=#__codelineno-14-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.utils.config</span><span class=w> </span><span class=kn>import</span> <span class=n>settings</span>
-</span><span id=__span-14-2><a id=__codelineno-14-2 name=__codelineno-14-2 href=#__codelineno-14-2></a>
-</span><span id=__span-14-3><a id=__codelineno-14-3 name=__codelineno-14-3 href=#__codelineno-14-3></a><span class=c1># Check service availability</span>
-</span><span id=__span-14-4><a id=__codelineno-14-4 name=__codelineno-14-4 href=#__codelineno-14-4></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>modal_available</span><span class=p>:</span>
-</span><span id=__span-14-5><a id=__codelineno-14-5 name=__codelineno-14-5 href=#__codelineno-14-5></a>    <span class=c1># Use Modal sandbox</span>
-</span><span id=__span-14-6><a id=__codelineno-14-6 name=__codelineno-14-6 href=#__codelineno-14-6></a>    <span class=k>pass</span>
-</span><span id=__span-14-7><a id=__codelineno-14-7 name=__codelineno-14-7 href=#__codelineno-14-7></a>
-</span><span id=__span-14-8><a id=__codelineno-14-8 name=__codelineno-14-8 href=#__codelineno-14-8></a><span class=k>if</span> <span class=n>settings</span><span class=o>.</span><span class=n>web_search_available</span><span class=p>:</span>
-</span><span id=__span-14-9><a id=__codelineno-14-9 name=__codelineno-14-9 href=#__codelineno-14-9></a>    <span class=c1># Web search is configured</span>
-</span><span id=__span-14-10><a id=__codelineno-14-10 name=__codelineno-14-10 href=#__codelineno-14-10></a>    <span class=k>pass</span>
-</span></code></pre></div> <h3 id=api-key-retrieval>API Key Retrieval<a class=headerlink href=#api-key-retrieval title="Anchor link to this section">&para;</a></h3> <p>Get the API key for the configured provider:</p> <p>For OpenAI-specific operations (e.g., Magentic mode):</p> <h2 id=configuration-usage-in-codebase>Configuration Usage in Codebase<a class=headerlink href=#configuration-usage-in-codebase title="Anchor link to this section">&para;</a></h2> <p>The configuration system is used throughout the codebase:</p> <h3 id=llm-factory>LLM Factory<a class=headerlink href=#llm-factory title="Anchor link to this section">&para;</a></h3> <p>The LLM factory uses settings to create appropriate models:</p> <h3 id=embedding-service>Embedding Service<a class=headerlink href=#embedding-service title="Anchor link to this section">&para;</a></h3> <p>The embedding service uses local embedding model configuration:</p> <h3 id=orchestrator-factory>Orchestrator Factory<a class=headerlink href=#orchestrator-factory title="Anchor link to this section">&para;</a></h3> <p>The orchestrator factory uses settings to determine mode:</p> <h2 id=environment-variables-reference>Environment Variables Reference<a class=headerlink href=#environment-variables-reference title="Anchor link to this section">&para;</a></h2> <h3 id=required-at-least-one-llm>Required (at least one LLM)<a class=headerlink href=#required-at-least-one-llm title="Anchor link to this section">&para;</a></h3> <ul> <li><code>OPENAI_API_KEY</code> - OpenAI API key (required for OpenAI provider)</li> <li><code>ANTHROPIC_API_KEY</code> - Anthropic API key (required for Anthropic provider)</li> <li><code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> - HuggingFace API token (optional, can work without for public models)</li> </ul> <h4 id=llm-configuration-variables>LLM Configuration Variables<a class=headerlink href=#llm-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>LLM_PROVIDER</code> - Provider to use: <code>"openai"</code>, <code>"anthropic"</code>, or <code>"huggingface"</code> (default: <code>"huggingface"</code>)</li> <li><code>OPENAI_MODEL</code> - OpenAI model name (default: <code>"gpt-5.1"</code>)</li> <li><code>ANTHROPIC_MODEL</code> - Anthropic model name (default: <code>"claude-sonnet-4-5-20250929"</code>)</li> <li><code>HUGGINGFACE_MODEL</code> - HuggingFace model ID (default: <code>"meta-llama/Llama-3.1-8B-Instruct"</code>)</li> </ul> <h4 id=embedding-configuration-variables>Embedding Configuration Variables<a class=headerlink href=#embedding-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>EMBEDDING_PROVIDER</code> - Provider: <code>"openai"</code>, <code>"local"</code>, or <code>"huggingface"</code> (default: <code>"local"</code>)</li> <li><code>OPENAI_EMBEDDING_MODEL</code> - OpenAI embedding model (default: <code>"text-embedding-3-small"</code>)</li> <li><code>LOCAL_EMBEDDING_MODEL</code> - Local sentence-transformers model (default: <code>"all-MiniLM-L6-v2"</code>)</li> <li><code>HUGGINGFACE_EMBEDDING_MODEL</code> - HuggingFace embedding model (default: <code>"sentence-transformers/all-MiniLM-L6-v2"</code>)</li> </ul> <h4 id=web-search-configuration-variables>Web Search Configuration Variables<a class=headerlink href=#web-search-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>WEB_SEARCH_PROVIDER</code> - Provider: <code>"serper"</code>, <code>"searchxng"</code>, <code>"brave"</code>, <code>"tavily"</code>, or <code>"duckduckgo"</code> (default: <code>"duckduckgo"</code>)</li> <li><code>SERPER_API_KEY</code> - Serper API key (required for Serper provider)</li> <li><code>SEARCHXNG_HOST</code> - SearchXNG host URL (required for SearchXNG provider)</li> <li><code>BRAVE_API_KEY</code> - Brave Search API key (required for Brave provider)</li> <li><code>TAVILY_API_KEY</code> - Tavily API key (required for Tavily provider)</li> </ul> <h4 id=pubmed-configuration-variables>PubMed Configuration Variables<a class=headerlink href=#pubmed-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>NCBI_API_KEY</code> - NCBI API key (optional, increases rate limit from 3 to 10 req/sec)</li> </ul> <h4 id=agent-configuration-variables>Agent Configuration Variables<a class=headerlink href=#agent-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>MAX_ITERATIONS</code> - Maximum iterations per research loop (1-50, default: <code>10</code>)</li> <li><code>SEARCH_TIMEOUT</code> - Search timeout in seconds (default: <code>30</code>)</li> <li><code>USE_GRAPH_EXECUTION</code> - Use graph-based execution (default: <code>false</code>)</li> </ul> <h4 id=budget-configuration-variables>Budget Configuration Variables<a class=headerlink href=#budget-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>DEFAULT_TOKEN_LIMIT</code> - Default token budget per research loop (1000-1000000, default: <code>100000</code>)</li> <li><code>DEFAULT_TIME_LIMIT_MINUTES</code> - Default time limit in minutes (1-120, default: <code>10</code>)</li> <li><code>DEFAULT_ITERATIONS_LIMIT</code> - Default iterations limit (1-50, default: <code>10</code>)</li> </ul> <h4 id=rag-configuration-variables>RAG Configuration Variables<a class=headerlink href=#rag-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>RAG_COLLECTION_NAME</code> - ChromaDB collection name (default: <code>"deepcritical_evidence"</code>)</li> <li><code>RAG_SIMILARITY_TOP_K</code> - Number of top results to retrieve (1-50, default: <code>5</code>)</li> <li><code>RAG_AUTO_INGEST</code> - Automatically ingest evidence into RAG (default: <code>true</code>)</li> </ul> <h4 id=chromadb-configuration-variables>ChromaDB Configuration Variables<a class=headerlink href=#chromadb-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>CHROMA_DB_PATH</code> - ChromaDB storage path (default: <code>"./chroma_db"</code>)</li> <li><code>CHROMA_DB_PERSIST</code> - Whether to persist ChromaDB to disk (default: <code>true</code>)</li> <li><code>CHROMA_DB_HOST</code> - ChromaDB server host (optional, for remote ChromaDB)</li> <li><code>CHROMA_DB_PORT</code> - ChromaDB server port (optional, for remote ChromaDB)</li> </ul> <h4 id=external-services-variables>External Services Variables<a class=headerlink href=#external-services-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>MODAL_TOKEN_ID</code> - Modal token ID (optional, for Modal sandbox execution)</li> <li><code>MODAL_TOKEN_SECRET</code> - Modal token secret (optional, for Modal sandbox execution)</li> </ul> <h4 id=logging-configuration-variables>Logging Configuration Variables<a class=headerlink href=#logging-configuration-variables title="Anchor link to this section">&para;</a></h4> <ul> <li><code>LOG_LEVEL</code> - Log level: <code>"DEBUG"</code>, <code>"INFO"</code>, <code>"WARNING"</code>, or <code>"ERROR"</code> (default: <code>"INFO"</code>)</li> </ul> <h2 id=validation>Validation<a class=headerlink href=#validation title="Anchor link to this section">&para;</a></h2> <p>Settings are validated on load using Pydantic validation:</p> <ul> <li><strong>Type Checking</strong>: All fields are strongly typed</li> <li><strong>Range Validation</strong>: Numeric fields have min/max constraints (e.g., <code>ge=1, le=50</code> for <code>max_iterations</code>)</li> <li><strong>Literal Validation</strong>: Enum fields only accept specific values (e.g., <code>Literal["openai", "anthropic", "huggingface"]</code>)</li> <li><strong>Required Fields</strong>: API keys are checked when accessed via <code>get_api_key()</code> or <code>get_openai_api_key()</code></li> </ul> <h3 id=validation-examples>Validation Examples<a class=headerlink href=#validation-examples title="Anchor link to this section">&para;</a></h3> <p>The <code>max_iterations</code> field has range validation:</p> <p>The <code>llm_provider</code> field has literal validation:</p> <h2 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">&para;</a></h2> <p>Configuration errors raise <code>ConfigurationError</code> from <code>src/utils/exceptions.py</code>:</p> <p>```22:25:src/utils/exceptions.py class ConfigurationError(DeepCriticalError): """Raised when configuration is invalid."""</p> <div class="language-text highlight"><pre><span></span><code>pass
-</code></pre></div> <p>``` </p> <h3 id=error-handling-example>Error Handling Example<a class=headerlink href=#error-handling-example title="Anchor link to this section">&para;</a></h3> <p><code>python from src.utils.config import settings from src.utils.exceptions import ConfigurationError try: api_key = settings.get_api_key() except ConfigurationError as e: print(f"Configuration error: {e}")</code></p> <h3 id=common-configuration-errors>Common Configuration Errors<a class=headerlink href=#common-configuration-errors title="Anchor link to this section">&para;</a></h3> <ol> <li><strong>Missing API Key</strong>: When <code>get_api_key()</code> is called but the required API key is not set</li> <li><strong>Invalid Provider</strong>: When <code>llm_provider</code> is set to an unsupported value</li> <li><strong>Out of Range</strong>: When numeric values exceed their min/max constraints</li> <li><strong>Invalid Literal</strong>: When enum fields receive unsupported values</li> </ol> <h2 id=configuration-best-practices>Configuration Best Practices<a class=headerlink href=#configuration-best-practices title="Anchor link to this section">&para;</a></h2> <ol> <li><strong>Use <code>.env</code> File</strong>: Store sensitive keys in <code>.env</code> file (add to <code>.gitignore</code>)</li> <li><strong>Check Availability</strong>: Use properties like <code>has_openai_key</code> before accessing API keys</li> <li><strong>Handle Errors</strong>: Always catch <code>ConfigurationError</code> when calling <code>get_api_key()</code></li> <li><strong>Validate Early</strong>: Configuration is validated on import, so errors surface immediately</li> <li><strong>Use Defaults</strong>: Leverage sensible defaults for optional configuration</li> </ol> <h2 id=future-enhancements>Future Enhancements<a class=headerlink href=#future-enhancements title="Anchor link to this section">&para;</a></h2> <p>The following configurations are planned for future phases:</p> <ol> <li><strong>Additional LLM Providers</strong>: DeepSeek, OpenRouter, Gemini, Perplexity, Azure OpenAI, Local models</li> <li><strong>Model Selection</strong>: Reasoning/main/fast model configuration</li> <li><strong>Service Integration</strong>: Additional service integrations and configurations</li> </ol> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span 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diff --git a/site/contributing/code-quality/index.html b/site/contributing/code-quality/index.html
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Code Quality &amp; Documentation </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#linting class=md-nav__link> <span class=md-ellipsis> Linting </span> </a> </li> <li class=md-nav__item> <a href=#type-checking class=md-nav__link> <span class=md-ellipsis> Type Checking </span> </a> </li> <li class=md-nav__item> <a href=#pre-commit class=md-nav__link> <span class=md-ellipsis> Pre-commit </span> </a> <nav class=md-nav aria-label=Pre-commit> <ul class=md-nav__list> <li class=md-nav__item> <a href=#installation class=md-nav__link> <span class=md-ellipsis> Installation </span> </a> </li> 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</nav> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=code-quality--documentation>Code Quality &amp; Documentation<a class=headerlink href=#code-quality--documentation title="Anchor link to this section">&para;</a></h1> <p>This document outlines code quality standards and documentation requirements for The DETERMINATOR.</p> <h2 id=linting>Linting<a class=headerlink href=#linting title="Anchor link to this section">&para;</a></h2> <ul> <li>Ruff with 100-char line length</li> <li>Ignore rules documented in <code>pyproject.toml</code>:</li> <li><code>PLR0913</code>: Too many arguments (agents need many params)</li> <li><code>PLR0912</code>: Too many branches (complex orchestrator logic)</li> <li><code>PLR0911</code>: Too many return statements (complex agent logic)</li> <li><code>PLR2004</code>: Magic values (statistical constants)</li> <li><code>PLW0603</code>: Global statement (singleton pattern)</li> <li><code>PLC0415</code>: Lazy imports for optional dependencies</li> <li><code>E402</code>: Module level import not at top (needed for pytest.importorskip)</li> <li><code>E501</code>: Line too long (ignore line length violations)</li> <li><code>RUF100</code>: Unused noqa (version differences between local/CI)</li> </ul> <h2 id=type-checking>Type Checking<a class=headerlink href=#type-checking title="Anchor link to this section">&para;</a></h2> <ul> <li><code>mypy --strict</code> compliance</li> <li><code>ignore_missing_imports = true</code> (for optional dependencies)</li> <li>Exclude: <code>reference_repos/</code>, <code>examples/</code></li> <li>All functions must have complete type annotations</li> </ul> <h2 id=pre-commit>Pre-commit<a class=headerlink href=#pre-commit title="Anchor link to this section">&para;</a></h2> <p>Pre-commit hooks run automatically on commit to ensure code quality. Configuration is in <code>.pre-commit-config.yaml</code>.</p> <h3 id=installation>Installation<a class=headerlink href=#installation title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Install dependencies (includes pre-commit package)</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=c1># Set up git hooks (must be run separately)</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>install
-</span></code></pre></div> <p><strong>Note</strong>: <code>uv sync --all-extras</code> installs the pre-commit package, but you must run <code>uv run pre-commit install</code> separately to set up the git hooks.</p> <h3 id=pre-commit-hooks>Pre-commit Hooks<a class=headerlink href=#pre-commit-hooks title="Anchor link to this section">&para;</a></h3> <p>The following hooks run automatically on commit:</p> <ol> <li><strong>ruff</strong>: Lints code and fixes issues automatically</li> <li>Runs on: <code>src/</code> (excludes <code>tests/</code>, <code>reference_repos/</code>)</li> <li> <p>Auto-fixes: Yes</p> </li> <li> <p><strong>ruff-format</strong>: Formats code with ruff</p> </li> <li>Runs on: <code>src/</code> (excludes <code>tests/</code>, <code>reference_repos/</code>)</li> <li> <p>Auto-fixes: Yes</p> </li> <li> <p><strong>mypy</strong>: Type checking</p> </li> <li>Runs on: <code>src/</code> (excludes <code>folder/</code>)</li> <li> <p>Additional dependencies: pydantic, pydantic-settings, tenacity, pydantic-ai</p> </li> <li> <p><strong>pytest-unit</strong>: Runs unit tests (excludes OpenAI and embedding_provider tests)</p> </li> <li>Runs: <code>tests/unit/</code> with <code>-m "not openai and not embedding_provider"</code></li> <li> <p>Always runs: Yes (not just on changed files)</p> </li> <li> <p><strong>pytest-local-embeddings</strong>: Runs local embedding tests</p> </li> <li>Runs: <code>tests/</code> with <code>-m "local_embeddings"</code></li> <li>Always runs: Yes</li> </ol> <h3 id=manual-pre-commit-run>Manual Pre-commit Run<a class=headerlink href=#manual-pre-commit-run title="Anchor link to this section">&para;</a></h3> <p>To run pre-commit hooks manually (without committing):</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>run<span class=w> </span>--all-files
-</span></code></pre></div> <h3 id=troubleshooting>Troubleshooting<a class=headerlink href=#troubleshooting title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Hooks failing</strong>: Fix the issues shown in the output, then commit again</li> <li><strong>Skipping hooks</strong>: Use <code>git commit --no-verify</code> (not recommended)</li> <li><strong>Hook not running</strong>: Ensure hooks are installed with <code>uv run pre-commit install</code></li> <li><strong>Type errors</strong>: Check that all dependencies are installed with <code>uv sync --all-extras</code></li> </ul> <h2 id=documentation>Documentation<a class=headerlink href=#documentation title="Anchor link to this section">&para;</a></h2> <h3 id=building-documentation>Building Documentation<a class=headerlink href=#building-documentation title="Anchor link to this section">&para;</a></h3> <p>Documentation is built using MkDocs. Source files are in <code>docs/</code>, and the configuration is in <code>mkdocs.yml</code>.</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=c1># Build documentation</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>uv<span class=w> </span>run<span class=w> </span>mkdocs<span class=w> </span>build
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a><span class=c1># Serve documentation locally (http://127.0.0.1:8000)</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a>uv<span class=w> </span>run<span class=w> </span>mkdocs<span class=w> </span>serve
-</span></code></pre></div> <p>The documentation site is published at: <a href=https://deepcritical.github.io/GradioDemo/ >https://deepcritical.github.io/GradioDemo/</a></p> <h3 id=docstrings>Docstrings<a class=headerlink href=#docstrings title="Anchor link to this section">&para;</a></h3> <ul> <li>Google-style docstrings for all public functions</li> <li>Include Args, Returns, Raises sections</li> <li>Use type hints in docstrings only if needed for clarity</li> </ul> <p>Example:</p> <h3 id=code-comments>Code Comments<a class=headerlink href=#code-comments title="Anchor link to this section">&para;</a></h3> <ul> <li>Explain WHY, not WHAT</li> <li>Document non-obvious patterns (e.g., why <code>requests</code> not <code>httpx</code> for ClinicalTrials)</li> <li>Mark critical sections: <code># CRITICAL: ...</code></li> <li>Document rate limiting rationale</li> <li>Explain async patterns when non-obvious</li> </ul> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../code-style/ >Code Style</a> - 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class=md-nav__link> <span class=md-ellipsis> Type Safety </span> </a> </li> <li class=md-nav__item> <a href=#pydantic-models class=md-nav__link> <span class=md-ellipsis> Pydantic Models </span> </a> </li> <li class=md-nav__item> <a href=#async-patterns class=md-nav__link> <span class=md-ellipsis> Async Patterns </span> </a> </li> <li class=md-nav__item> <a href=#common-pitfalls class=md-nav__link> <span class=md-ellipsis> Common Pitfalls </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=code-style--conventions>Code Style &amp; Conventions<a class=headerlink href=#code-style--conventions title="Anchor link to this section">&para;</a></h1> <p>This document outlines the code style and conventions for The DETERMINATOR.</p> <h2 id=package-manager>Package Manager<a class=headerlink href=#package-manager title="Anchor link to this section">&para;</a></h2> <p>This project uses <a href=https://github.com/astral-sh/uv><code>uv</code></a> as the package manager. All commands should be prefixed with <code>uv run</code> to ensure they run in the correct environment.</p> <h3 id=installation>Installation<a class=headerlink href=#installation title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Install uv if you haven&#39;t already (recommended: standalone installer)</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a><span class=c1># Unix/macOS/Linux:</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>curl<span class=w> </span>-LsSf<span class=w> </span>https://astral.sh/uv/install.sh<span class=w> </span><span class=p>|</span><span class=w> </span>sh
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=c1># Windows (PowerShell):</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>powershell<span class=w> </span>-ExecutionPolicy<span class=w> </span>ByPass<span class=w> </span>-c<span class=w> </span><span class=s2>&quot;irm https://astral.sh/uv/install.ps1 | iex&quot;</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a><span class=c1># Alternative: pipx install uv</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a><span class=c1># Or: pip install uv</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a><span class=c1># Sync all dependencies including dev extras</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras
-</span></code></pre></div> <h3 id=running-commands>Running Commands<a class=headerlink href=#running-commands title="Anchor link to this section">&para;</a></h3> <p>All development commands should use <code>uv run</code> prefix:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=c1># Instead of: pytest tests/</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a>
-</span><span id=__span-1-4><a id=__codelineno-1-4 name=__codelineno-1-4 href=#__codelineno-1-4></a><span class=c1># Instead of: ruff check src</span>
-</span><span id=__span-1-5><a id=__codelineno-1-5 name=__codelineno-1-5 href=#__codelineno-1-5></a>uv<span class=w> </span>run<span class=w> </span>ruff<span class=w> </span>check<span class=w> </span>src
-</span><span id=__span-1-6><a id=__codelineno-1-6 name=__codelineno-1-6 href=#__codelineno-1-6></a>
-</span><span id=__span-1-7><a id=__codelineno-1-7 name=__codelineno-1-7 href=#__codelineno-1-7></a><span class=c1># Instead of: mypy src</span>
-</span><span id=__span-1-8><a id=__codelineno-1-8 name=__codelineno-1-8 href=#__codelineno-1-8></a>uv<span class=w> </span>run<span class=w> </span>mypy<span class=w> </span>src
-</span></code></pre></div> <p>This ensures commands run in the correct virtual environment managed by <code>uv</code>.</p> <h2 id=type-safety>Type Safety<a class=headerlink href=#type-safety title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>ALWAYS</strong> use type hints for all function parameters and return types</li> <li>Use <code>mypy --strict</code> compliance (no <code>Any</code> unless absolutely necessary)</li> <li>Use <code>TYPE_CHECKING</code> imports for circular dependencies:</li> </ul> <h2 id=pydantic-models>Pydantic Models<a class=headerlink href=#pydantic-models title="Anchor link to this section">&para;</a></h2> <ul> <li>All data exchange uses Pydantic models (<code>src/utils/models.py</code>)</li> <li>Models are frozen (<code>model_config = {"frozen": True}</code>) for immutability</li> <li>Use <code>Field()</code> with descriptions for all model fields</li> <li>Validate with <code>ge=</code>, <code>le=</code>, <code>min_length=</code>, <code>max_length=</code> constraints</li> </ul> <h2 id=async-patterns>Async Patterns<a class=headerlink href=#async-patterns title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>ALL</strong> I/O operations must be async (<code>async def</code>, <code>await</code>)</li> <li>Use <code>asyncio.gather()</code> for parallel operations</li> <li>CPU-bound work (embeddings, parsing) must use <code>run_in_executor()</code>:</li> </ul> <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=n>loop</span> <span class=o>=</span> <span class=n>asyncio</span><span class=o>.</span><span class=n>get_running_loop</span><span class=p>()</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a><span class=n>result</span> <span class=o>=</span> <span class=k>await</span> <span class=n>loop</span><span class=o>.</span><span class=n>run_in_executor</span><span class=p>(</span><span class=kc>None</span><span class=p>,</span> <span class=n>cpu_bound_function</span><span class=p>,</span> <span class=n>args</span><span class=p>)</span>
-</span></code></pre></div> <ul> <li>Never block the event loop with synchronous I/O</li> </ul> <h2 id=common-pitfalls>Common Pitfalls<a class=headerlink href=#common-pitfalls title="Anchor link to this section">&para;</a></h2> <ol> <li><strong>Blocking the event loop</strong>: Never use sync I/O in async functions</li> <li><strong>Missing type hints</strong>: All functions must have complete type annotations</li> <li><strong>Global mutable state</strong>: Use ContextVar or pass via parameters</li> <li><strong>Import errors</strong>: Lazy-load optional dependencies (magentic, modal, embeddings)</li> </ol> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../error-handling/ >Error Handling</a> - Error handling guidelines</li> <li><a href=../implementation-patterns/ >Implementation Patterns</a> - Common patterns</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=#logging-examples class=md-nav__link> <span class=md-ellipsis> Logging Examples </span> </a> </li> <li class=md-nav__item> <a href=#error-chaining class=md-nav__link> <span class=md-ellipsis> Error Chaining </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=error-handling--logging>Error Handling &amp; Logging<a class=headerlink href=#error-handling--logging title="Anchor link to this section">&para;</a></h1> <p>This document outlines error handling and logging conventions for The DETERMINATOR.</p> <h2 id=exception-hierarchy>Exception Hierarchy<a class=headerlink href=#exception-hierarchy title="Anchor link to this section">&para;</a></h2> <p>Use custom exception hierarchy (<code>src/utils/exceptions.py</code>):</p> <h2 id=error-handling-rules>Error Handling Rules<a class=headerlink href=#error-handling-rules title="Anchor link to this section">&para;</a></h2> <ul> <li>Always chain exceptions: <code>raise SearchError(...) from e</code></li> <li>Log errors with context using <code>structlog</code>:</li> </ul> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=n>logger</span><span class=o>.</span><span class=n>error</span><span class=p>(</span><span class=s2>&quot;Operation failed&quot;</span><span class=p>,</span> <span class=n>error</span><span class=o>=</span><span class=nb>str</span><span class=p>(</span><span class=n>e</span><span class=p>),</span> <span class=n>context</span><span class=o>=</span><span class=n>value</span><span class=p>)</span>
-</span></code></pre></div> <ul> <li>Never silently swallow exceptions</li> <li>Provide actionable error messages</li> </ul> <h2 id=logging>Logging<a class=headerlink href=#logging title="Anchor link to this section">&para;</a></h2> <ul> <li>Use <code>structlog</code> for all logging (NOT <code>print</code> or <code>logging</code>)</li> <li>Import: <code>import structlog; logger = structlog.get_logger()</code></li> <li>Log with structured data: <code>logger.info("event", key=value)</code></li> <li>Use appropriate levels: DEBUG, INFO, WARNING, ERROR</li> </ul> <h2 id=logging-examples>Logging Examples<a class=headerlink href=#logging-examples title="Anchor link to this section">&para;</a></h2> <div class="language-python highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=n>logger</span><span class=o>.</span><span class=n>info</span><span class=p>(</span><span class=s2>&quot;Starting search&quot;</span><span class=p>,</span> <span class=n>query</span><span class=o>=</span><span class=n>query</span><span class=p>,</span> <span class=n>tools</span><span class=o>=</span><span class=p>[</span><span class=n>t</span><span class=o>.</span><span class=n>name</span> <span class=k>for</span> <span class=n>t</span> <span class=ow>in</span> <span class=n>tools</span><span class=p>])</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a><span class=n>logger</span><span class=o>.</span><span class=n>warning</span><span class=p>(</span><span class=s2>&quot;Search tool failed&quot;</span><span class=p>,</span> <span class=n>tool</span><span class=o>=</span><span class=n>tool</span><span class=o>.</span><span class=n>name</span><span class=p>,</span> <span class=n>error</span><span class=o>=</span><span class=nb>str</span><span class=p>(</span><span class=n>result</span><span class=p>))</span>
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a><span class=n>logger</span><span class=o>.</span><span class=n>error</span><span class=p>(</span><span class=s2>&quot;Assessment failed&quot;</span><span class=p>,</span> <span class=n>error</span><span class=o>=</span><span class=nb>str</span><span class=p>(</span><span class=n>e</span><span class=p>))</span>
-</span></code></pre></div> <h2 id=error-chaining>Error Chaining<a class=headerlink href=#error-chaining title="Anchor link to this section">&para;</a></h2> <p>Always preserve exception context:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=k>try</span><span class=p>:</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>    <span class=n>result</span> <span class=o>=</span> <span class=k>await</span> <span class=n>api_call</span><span class=p>()</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a><span class=k>except</span> <span class=n>httpx</span><span class=o>.</span><span class=n>HTTPError</span> <span class=k>as</span> <span class=n>e</span><span class=p>:</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a>    <span class=k>raise</span> <span class=n>SearchError</span><span class=p>(</span><span class=sa>f</span><span class=s2>&quot;API call failed: </span><span class=si>{</span><span class=n>e</span><span class=si>}</span><span class=s2>&quot;</span><span class=p>)</span> <span class=kn>from</span><span class=w> </span><span class=nn>e</span>
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Handlers </span> </a> </li> <li class=md-nav__item> <a href=#agent-factory-pattern class=md-nav__link> <span class=md-ellipsis> Agent Factory Pattern </span> </a> </li> <li class=md-nav__item> <a href=#state-management class=md-nav__link> <span class=md-ellipsis> State Management </span> </a> </li> <li class=md-nav__item> <a href=#singleton-pattern class=md-nav__link> <span class=md-ellipsis> Singleton Pattern </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=implementation-patterns>Implementation Patterns<a class=headerlink href=#implementation-patterns title="Anchor link to this section">&para;</a></h1> <p>This document outlines common implementation patterns used in The DETERMINATOR.</p> <h2 id=search-tools>Search Tools<a class=headerlink href=#search-tools title="Anchor link to this section">&para;</a></h2> <p>All tools implement <code>SearchTool</code> protocol (<code>src/tools/base.py</code>):</p> <ul> <li>Must have <code>name</code> property</li> <li>Must implement <code>async def search(query, max_results) -&gt; list[Evidence]</code></li> <li>Use <code>@retry</code> decorator from tenacity for resilience</li> <li>Rate limiting: Implement <code>_rate_limit()</code> for APIs with limits (e.g., PubMed)</li> <li>Error handling: Raise <code>SearchError</code> or <code>RateLimitError</code> on failures</li> </ul> <p>Example pattern:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>class</span><span class=w> </span><span class=nc>MySearchTool</span><span class=p>:</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>    <span class=nd>@property</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>    <span class=k>def</span><span class=w> </span><span class=nf>name</span><span class=p>(</span><span class=bp>self</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>str</span><span class=p>:</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>        <span class=k>return</span> <span class=s2>&quot;mytool&quot;</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>    
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>    <span class=nd>@retry</span><span class=p>(</span><span class=n>stop</span><span class=o>=</span><span class=n>stop_after_attempt</span><span class=p>(</span><span class=mi>3</span><span class=p>),</span> <span class=n>wait</span><span class=o>=</span><span class=n>wait_exponential</span><span class=p>(</span><span class=o>...</span><span class=p>))</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>    <span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>search</span><span class=p>(</span><span class=bp>self</span><span class=p>,</span> <span class=n>query</span><span class=p>:</span> <span class=nb>str</span><span class=p>,</span> <span class=n>max_results</span><span class=p>:</span> <span class=nb>int</span> <span class=o>=</span> <span class=mi>10</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=nb>list</span><span class=p>[</span><span class=n>Evidence</span><span class=p>]:</span>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a>        <span class=c1># Implementation</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a>        <span class=k>return</span> <span class=n>evidence_list</span>
-</span></code></pre></div> <h2 id=judge-handlers>Judge Handlers<a class=headerlink href=#judge-handlers title="Anchor link to this section">&para;</a></h2> <ul> <li>Implement <code>JudgeHandlerProtocol</code> (<code>async def assess(question, evidence) -&gt; JudgeAssessment</code>)</li> <li>Use pydantic-ai <code>Agent</code> with <code>output_type=JudgeAssessment</code></li> <li>System prompts in <code>src/prompts/judge.py</code></li> <li>Support fallback handlers: <code>MockJudgeHandler</code>, <code>HFInferenceJudgeHandler</code></li> <li>Always return valid <code>JudgeAssessment</code> (never raise exceptions)</li> </ul> <h2 id=agent-factory-pattern>Agent Factory Pattern<a class=headerlink href=#agent-factory-pattern title="Anchor link to this section">&para;</a></h2> <ul> <li>Use factory functions for creating agents (<code>src/agent_factory/</code>)</li> <li>Lazy initialization for optional dependencies (e.g., embeddings, Modal)</li> <li>Check requirements before initialization:</li> </ul> <h2 id=state-management>State Management<a class=headerlink href=#state-management title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>Magentic Mode</strong>: Use <code>ContextVar</code> for thread-safe state (<code>src/agents/state.py</code>)</li> <li><strong>Simple Mode</strong>: Pass state via function parameters</li> <li>Never use global mutable state (except singletons via <code>@lru_cache</code>)</li> </ul> <h2 id=singleton-pattern>Singleton Pattern<a class=headerlink href=#singleton-pattern title="Anchor link to this section">&para;</a></h2> <p>Use <code>@lru_cache(maxsize=1)</code> for singletons:</p> <ul> <li>Lazy initialization to avoid requiring dependencies at import time</li> </ul> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../code-style/ >Code Style</a> - 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</span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_7 checked> <div class="md-nav__link md-nav__container"> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link md-nav__link--active" for=__nav_7 id=__nav_7_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=true> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=contributing-to-the-determinator>Contributing to The DETERMINATOR<a class=headerlink href=#contributing-to-the-determinator title="Anchor link to this section">&para;</a></h1> <p>Thank you for your interest in contributing to The DETERMINATOR! This guide will help you get started.</p> <blockquote> <p><strong>Note on Project Names</strong>: "The DETERMINATOR" is the product name, "DeepCritical" is the organization/project name, and "determinator" is the Python package name.</p> </blockquote> <h2 id=git-workflow>Git Workflow<a class=headerlink href=#git-workflow title="Anchor link to this section">&para;</a></h2> <ul> <li><code>main</code>: Production-ready (GitHub)</li> <li><code>dev</code>: Development integration (GitHub)</li> <li>Use feature branches: <code>yourname-dev</code></li> <li><strong>NEVER</strong> push directly to <code>main</code> or <code>dev</code> on HuggingFace</li> <li>GitHub is source of truth; HuggingFace is for deployment</li> </ul> <h2 id=repository-information>Repository Information<a class=headerlink href=#repository-information title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>GitHub Repository</strong>: <a href=https://github.com/DeepCritical/GradioDemo><code>DeepCritical/GradioDemo</code></a> (source of truth, PRs, code review)</li> <li><strong>HuggingFace Space</strong>: <a href=https://huggingface.co/spaces/DataQuests/DeepCritical><code>DataQuests/DeepCritical</code></a> (deployment/demo)</li> <li><strong>Package Name</strong>: <code>determinator</code> (Python package name in <code>pyproject.toml</code>)</li> </ul> <h3 id=dual-repository-setup>Dual Repository Setup<a class=headerlink href=#dual-repository-setup title="Anchor link to this section">&para;</a></h3> <p>This project uses a dual repository setup:</p> <ul> <li><strong>GitHub (<code>DeepCritical/GradioDemo</code>)</strong>: Source of truth for code, PRs, and code review</li> <li><strong>HuggingFace (<code>DataQuests/DeepCritical</code>)</strong>: Deployment target for the Gradio demo</li> </ul> <h4 id=remote-configuration>Remote Configuration<a class=headerlink href=#remote-configuration title="Anchor link to this section">&para;</a></h4> <p>When cloning, set up remotes as follows:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Clone from GitHub</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>git<span class=w> </span>clone<span class=w> </span>https://github.com/DeepCritical/GradioDemo.git
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=nb>cd</span><span class=w> </span>GradioDemo
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=c1># Add HuggingFace remote (optional, for deployment)</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>git<span class=w> </span>remote<span class=w> </span>add<span class=w> </span>huggingface-upstream<span class=w> </span>https://huggingface.co/spaces/DataQuests/DeepCritical
-</span></code></pre></div> <p><strong>Important</strong>: Never push directly to <code>main</code> or <code>dev</code> on HuggingFace. Always work through GitHub PRs. GitHub is the source of truth; HuggingFace is for deployment/demo only.</p> <h2 id=package-manager>Package Manager<a class=headerlink href=#package-manager title="Anchor link to this section">&para;</a></h2> <p>This project uses <a href=https://github.com/astral-sh/uv><code>uv</code></a> as the package manager. All commands should be prefixed with <code>uv run</code> to ensure they run in the correct environment.</p> <h3 id=installation>Installation<a class=headerlink href=#installation title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=c1># Install uv if you haven&#39;t already (recommended: standalone installer)</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a><span class=c1># Unix/macOS/Linux:</span>
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a>curl<span class=w> </span>-LsSf<span class=w> </span>https://astral.sh/uv/install.sh<span class=w> </span><span class=p>|</span><span class=w> </span>sh
-</span><span id=__span-1-4><a id=__codelineno-1-4 name=__codelineno-1-4 href=#__codelineno-1-4></a>
-</span><span id=__span-1-5><a id=__codelineno-1-5 name=__codelineno-1-5 href=#__codelineno-1-5></a><span class=c1># Windows (PowerShell):</span>
-</span><span id=__span-1-6><a id=__codelineno-1-6 name=__codelineno-1-6 href=#__codelineno-1-6></a>powershell<span class=w> </span>-ExecutionPolicy<span class=w> </span>ByPass<span class=w> </span>-c<span class=w> </span><span class=s2>&quot;irm https://astral.sh/uv/install.ps1 | iex&quot;</span>
-</span><span id=__span-1-7><a id=__codelineno-1-7 name=__codelineno-1-7 href=#__codelineno-1-7></a>
-</span><span id=__span-1-8><a id=__codelineno-1-8 name=__codelineno-1-8 href=#__codelineno-1-8></a><span class=c1># Alternative: pipx install uv</span>
-</span><span id=__span-1-9><a id=__codelineno-1-9 name=__codelineno-1-9 href=#__codelineno-1-9></a><span class=c1># Or: pip install uv</span>
-</span><span id=__span-1-10><a id=__codelineno-1-10 name=__codelineno-1-10 href=#__codelineno-1-10></a>
-</span><span id=__span-1-11><a id=__codelineno-1-11 name=__codelineno-1-11 href=#__codelineno-1-11></a><span class=c1># Sync all dependencies including dev extras</span>
-</span><span id=__span-1-12><a id=__codelineno-1-12 name=__codelineno-1-12 href=#__codelineno-1-12></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras
-</span><span id=__span-1-13><a id=__codelineno-1-13 name=__codelineno-1-13 href=#__codelineno-1-13></a>
-</span><span id=__span-1-14><a id=__codelineno-1-14 name=__codelineno-1-14 href=#__codelineno-1-14></a><span class=c1># Install pre-commit hooks</span>
-</span><span id=__span-1-15><a id=__codelineno-1-15 name=__codelineno-1-15 href=#__codelineno-1-15></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>install
-</span></code></pre></div> <h2 id=development-commands>Development Commands<a class=headerlink href=#development-commands title="Anchor link to this section">&para;</a></h2> <div class="language-bash highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=c1># Installation</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras<span class=w>              </span><span class=c1># Install all dependencies including dev</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>install<span class=w>          </span><span class=c1># Install pre-commit hooks</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a><span class=c1># Code Quality Checks (run all before committing)</span>
-</span><span id=__span-2-6><a id=__codelineno-2-6 name=__codelineno-2-6 href=#__codelineno-2-6></a>uv<span class=w> </span>run<span class=w> </span>ruff<span class=w> </span>check<span class=w> </span>src<span class=w> </span>tests<span class=w>       </span><span class=c1># Lint with ruff</span>
-</span><span id=__span-2-7><a id=__codelineno-2-7 name=__codelineno-2-7 href=#__codelineno-2-7></a>uv<span class=w> </span>run<span class=w> </span>ruff<span class=w> </span>format<span class=w> </span>src<span class=w> </span>tests<span class=w>      </span><span class=c1># Format with ruff</span>
-</span><span id=__span-2-8><a id=__codelineno-2-8 name=__codelineno-2-8 href=#__codelineno-2-8></a>uv<span class=w> </span>run<span class=w> </span>mypy<span class=w> </span>src<span class=w>                   </span><span class=c1># Type checking</span>
-</span><span id=__span-2-9><a id=__codelineno-2-9 name=__codelineno-2-9 href=#__codelineno-2-9></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>term-missing<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>  </span><span class=c1># Tests with coverage</span>
-</span><span id=__span-2-10><a id=__codelineno-2-10 name=__codelineno-2-10 href=#__codelineno-2-10></a>
-</span><span id=__span-2-11><a id=__codelineno-2-11 name=__codelineno-2-11 href=#__codelineno-2-11></a><span class=c1># Testing Commands</span>
-</span><span id=__span-2-12><a id=__codelineno-2-12 name=__codelineno-2-12 href=#__codelineno-2-12></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>              </span><span class=c1># Run unit tests (excludes OpenAI tests)</span>
-</span><span id=__span-2-13><a id=__codelineno-2-13 name=__codelineno-2-13 href=#__codelineno-2-13></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;huggingface&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>                 </span><span class=c1># Run HuggingFace tests</span>
-</span><span id=__span-2-14><a id=__codelineno-2-14 name=__codelineno-2-14 href=#__codelineno-2-14></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>                                  </span><span class=c1># Run all tests</span>
-</span><span id=__span-2-15><a id=__codelineno-2-15 name=__codelineno-2-15 href=#__codelineno-2-15></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>term-missing<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>  </span><span class=c1># Tests with terminal coverage</span>
-</span><span id=__span-2-16><a id=__codelineno-2-16 name=__codelineno-2-16 href=#__codelineno-2-16></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>html<span class=w> </span>-p<span class=w> </span>no:logfire<span class=w>                </span><span class=c1># Generate HTML coverage report (opens htmlcov/index.html)</span>
-</span><span id=__span-2-17><a id=__codelineno-2-17 name=__codelineno-2-17 href=#__codelineno-2-17></a>
-</span><span id=__span-2-18><a id=__codelineno-2-18 name=__codelineno-2-18 href=#__codelineno-2-18></a><span class=c1># Documentation Commands</span>
-</span><span id=__span-2-19><a id=__codelineno-2-19 name=__codelineno-2-19 href=#__codelineno-2-19></a>uv<span class=w> </span>run<span class=w> </span>mkdocs<span class=w> </span>build<span class=w>                </span><span class=c1># Build documentation</span>
-</span><span id=__span-2-20><a id=__codelineno-2-20 name=__codelineno-2-20 href=#__codelineno-2-20></a>uv<span class=w> </span>run<span class=w> </span>mkdocs<span class=w> </span>serve<span class=w>                </span><span class=c1># Serve documentation locally (http://127.0.0.1:8000)</span>
-</span></code></pre></div> <h3 id=test-markers>Test Markers<a class=headerlink href=#test-markers title="Anchor link to this section">&para;</a></h3> <p>The project uses pytest markers to categorize tests. See <a href=testing/ >Testing Guidelines</a> for details:</p> <ul> <li><code>unit</code>: Unit tests (mocked, fast)</li> <li><code>integration</code>: Integration tests (real APIs)</li> <li><code>slow</code>: Slow tests</li> <li><code>openai</code>: Tests requiring OpenAI API key</li> <li><code>huggingface</code>: Tests requiring HuggingFace API key</li> <li><code>embedding_provider</code>: Tests requiring API-based embedding providers</li> <li><code>local_embeddings</code>: Tests using local embeddings</li> </ul> <p><strong>Note</strong>: The <code>-p no:logfire</code> flag disables the logfire plugin to avoid conflicts during testing.</p> <h2 id=getting-started>Getting Started<a class=headerlink href=#getting-started title="Anchor link to this section">&para;</a></h2> <ol> <li> <p><strong>Fork the repository</strong> on GitHub: <a href=https://github.com/DeepCritical/GradioDemo><code>DeepCritical/GradioDemo</code></a></p> </li> <li> <p><strong>Clone your fork</strong>:</p> </li> </ol> <div class="language-bash highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>git<span class=w> </span>clone<span class=w> </span>https://github.com/yourusername/GradioDemo.git
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a><span class=nb>cd</span><span class=w> </span>GradioDemo
-</span></code></pre></div> <ol> <li><strong>Install dependencies</strong>:</li> </ol> <div class="language-bash highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras
-</span><span id=__span-4-2><a id=__codelineno-4-2 name=__codelineno-4-2 href=#__codelineno-4-2></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>install
-</span></code></pre></div> <ol> <li><strong>Create a feature branch</strong>:</li> </ol> <div class="language-bash highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a>git<span class=w> </span>checkout<span class=w> </span>-b<span class=w> </span>yourname-feature-name
-</span></code></pre></div> <ol> <li> <p><strong>Make your changes</strong> following the guidelines below</p> </li> <li> <p><strong>Run checks</strong>:</p> </li> </ol> <div class="language-bash highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a>uv<span class=w> </span>run<span class=w> </span>ruff<span class=w> </span>check<span class=w> </span>src<span class=w> </span>tests
-</span><span id=__span-6-2><a id=__codelineno-6-2 name=__codelineno-6-2 href=#__codelineno-6-2></a>uv<span class=w> </span>run<span class=w> </span>mypy<span class=w> </span>src
-</span><span id=__span-6-3><a id=__codelineno-6-3 name=__codelineno-6-3 href=#__codelineno-6-3></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>term-missing<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span></code></pre></div> <ol> <li><strong>Commit and push</strong>:</li> </ol> <div class="language-bash highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a>git<span class=w> </span>commit<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;Description of changes&quot;</span>
-</span><span id=__span-7-2><a id=__codelineno-7-2 name=__codelineno-7-2 href=#__codelineno-7-2></a>git<span class=w> </span>push<span class=w> </span>origin<span class=w> </span>yourname-feature-name
-</span></code></pre></div> <ol> <li><strong>Create a pull request</strong> on GitHub</li> </ol> <h2 id=development-guidelines>Development Guidelines<a class=headerlink href=#development-guidelines title="Anchor link to this section">&para;</a></h2> <h3 id=code-style>Code Style<a class=headerlink href=#code-style title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=code-style/ >Code Style Guidelines</a></li> <li>All code must pass <code>mypy --strict</code></li> <li>Use <code>ruff</code> for linting and formatting</li> <li>Line length: 100 characters</li> </ul> <h3 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=error-handling/ >Error Handling Guidelines</a></li> <li>Always chain exceptions: <code>raise SearchError(...) from e</code></li> <li>Use structured logging with <code>structlog</code></li> <li>Never silently swallow exceptions</li> </ul> <h3 id=testing>Testing<a class=headerlink href=#testing title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=testing/ >Testing Guidelines</a></li> <li>Write tests before implementation (TDD)</li> <li>Aim for &gt;80% coverage on critical paths</li> <li>Use markers: <code>unit</code>, <code>integration</code>, <code>slow</code></li> </ul> <h3 id=implementation-patterns>Implementation Patterns<a class=headerlink href=#implementation-patterns title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=implementation-patterns/ >Implementation Patterns</a></li> <li>Use factory functions for agent/tool creation</li> <li>Implement protocols for extensibility</li> <li>Use singleton pattern with <code>@lru_cache(maxsize=1)</code></li> </ul> <h3 id=prompt-engineering>Prompt Engineering<a class=headerlink href=#prompt-engineering title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=prompt-engineering/ >Prompt Engineering Guidelines</a></li> <li>Always validate citations</li> <li>Use diverse evidence selection</li> <li>Never trust LLM-generated citations without validation</li> </ul> <h3 id=code-quality>Code Quality<a class=headerlink href=#code-quality title="Anchor link to this section">&para;</a></h3> <ul> <li>Follow <a href=code-quality/ >Code Quality Guidelines</a></li> <li>Google-style docstrings for all public functions</li> <li>Explain WHY, not WHAT in comments</li> <li>Mark critical sections: <code># CRITICAL: ...</code></li> </ul> <h2 id=mcp-integration>MCP Integration<a class=headerlink href=#mcp-integration title="Anchor link to this section">&para;</a></h2> <h3 id=mcp-tools>MCP Tools<a class=headerlink href=#mcp-tools title="Anchor link to this section">&para;</a></h3> <ul> <li>Functions in <code>src/mcp_tools.py</code> for Claude Desktop</li> <li>Full type hints required</li> <li>Google-style docstrings with Args/Returns sections</li> <li>Formatted string returns (markdown)</li> </ul> <h3 id=gradio-mcp-server>Gradio MCP Server<a class=headerlink href=#gradio-mcp-server title="Anchor link to this section">&para;</a></h3> <ul> <li>Enable with <code>mcp_server=True</code> in <code>demo.launch()</code></li> <li>Endpoint: <code>/gradio_api/mcp/</code></li> <li>Use <code>ssr_mode=False</code> to fix hydration issues in HF Spaces</li> </ul> <h2 id=common-pitfalls>Common Pitfalls<a class=headerlink href=#common-pitfalls title="Anchor link to this section">&para;</a></h2> <ol> <li><strong>Blocking the event loop</strong>: Never use sync I/O in async functions</li> <li><strong>Missing type hints</strong>: All functions must have complete type annotations</li> <li><strong>Hallucinated citations</strong>: Always validate references</li> <li><strong>Global mutable state</strong>: Use ContextVar or pass via parameters</li> <li><strong>Import errors</strong>: Lazy-load optional dependencies (magentic, modal, embeddings)</li> <li><strong>Rate limiting</strong>: Always implement for external APIs</li> <li><strong>Error chaining</strong>: Always use <code>from e</code> when raising exceptions</li> </ol> <h2 id=key-principles>Key Principles<a class=headerlink href=#key-principles title="Anchor link to this section">&para;</a></h2> <ol> <li><strong>Type Safety First</strong>: All code must pass <code>mypy --strict</code></li> <li><strong>Async Everything</strong>: All I/O must be async</li> <li><strong>Test-Driven</strong>: Write tests before implementation</li> <li><strong>No Hallucinations</strong>: Validate all citations</li> <li><strong>Graceful Degradation</strong>: Support free tier (HF Inference) when no API keys</li> <li><strong>Lazy Loading</strong>: Don't require optional dependencies at import time</li> <li><strong>Structured Logging</strong>: Use structlog, never print()</li> <li><strong>Error Chaining</strong>: Always preserve exception context</li> </ol> <h2 id=pull-request-process>Pull Request Process<a class=headerlink href=#pull-request-process title="Anchor link to this section">&para;</a></h2> <ol> <li>Ensure all checks pass: <code>uv run ruff check src tests &amp;&amp; uv run mypy src &amp;&amp; uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire</code></li> <li>Update documentation if needed</li> <li>Add tests for new features</li> <li>Update CHANGELOG if applicable</li> <li>Request review from maintainers</li> <li>Address review feedback</li> <li>Wait for approval before merging</li> </ol> <h2 id=project-structure>Project Structure<a class=headerlink href=#project-structure title="Anchor link to this section">&para;</a></h2> <ul> <li><code>src/</code>: Main source code</li> <li><code>tests/</code>: Test files (<code>unit/</code> and <code>integration/</code>)</li> <li><code>docs/</code>: Documentation source files (MkDocs)</li> <li><code>examples/</code>: Example usage scripts</li> <li><code>pyproject.toml</code>: Project configuration and dependencies</li> <li><code>.pre-commit-config.yaml</code>: Pre-commit hook configuration</li> </ul> <h2 id=questions>Questions?<a class=headerlink href=#questions title="Anchor link to this section">&para;</a></h2> <ul> <li>Open an issue on <a href=https://github.com/DeepCritical/GradioDemo>GitHub</a></li> <li>Check existing <a href=https://deepcritical.github.io/GradioDemo/ >documentation</a></li> <li>Review code examples in the codebase</li> </ul> <p>Thank you for contributing to The DETERMINATOR!</p> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span 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<ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#judge-prompts class=md-nav__link> <span class=md-ellipsis> Judge Prompts </span> </a> </li> <li class=md-nav__item> <a href=#hypothesis-prompts class=md-nav__link> <span class=md-ellipsis> Hypothesis Prompts </span> </a> </li> <li class=md-nav__item> <a href=#report-prompts class=md-nav__link> <span class=md-ellipsis> Report Prompts </span> </a> </li> <li class=md-nav__item> <a href=#citation-validation class=md-nav__link> <span class=md-ellipsis> Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=#citation-validation-rules class=md-nav__link> <span class=md-ellipsis> Citation Validation Rules </span> </a> </li> <li class=md-nav__item> <a href=#evidence-selection class=md-nav__link> <span class=md-ellipsis> Evidence Selection </span> </a> </li> <li class=md-nav__item> <a href=#see-also class=md-nav__link> <span class=md-ellipsis> See Also </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=prompt-engineering--citation-validation>Prompt Engineering &amp; Citation Validation<a class=headerlink href=#prompt-engineering--citation-validation title="Anchor link to this section">&para;</a></h1> <p>This document outlines prompt engineering guidelines and citation validation rules.</p> <h2 id=judge-prompts>Judge Prompts<a class=headerlink href=#judge-prompts title="Anchor link to this section">&para;</a></h2> <ul> <li>System prompt in <code>src/prompts/judge.py</code></li> <li>Format evidence with truncation (1500 chars per item)</li> <li>Handle empty evidence case separately</li> <li>Always request structured JSON output</li> <li>Use <code>format_user_prompt()</code> and <code>format_empty_evidence_prompt()</code> helpers</li> </ul> <h2 id=hypothesis-prompts>Hypothesis Prompts<a class=headerlink href=#hypothesis-prompts title="Anchor link to this section">&para;</a></h2> <ul> <li>Use diverse evidence selection (MMR algorithm)</li> <li>Sentence-aware truncation (<code>truncate_at_sentence()</code>)</li> <li>Format: Drug → Target → Pathway → Effect</li> <li>System prompt emphasizes mechanistic reasoning</li> <li>Use <code>format_hypothesis_prompt()</code> with embeddings for diversity</li> </ul> <h2 id=report-prompts>Report Prompts<a class=headerlink href=#report-prompts title="Anchor link to this section">&para;</a></h2> <ul> <li>Include full citation details for validation</li> <li>Use diverse evidence selection (n=20)</li> <li><strong>CRITICAL</strong>: Emphasize citation validation rules</li> <li>Format hypotheses with support/contradiction counts</li> <li>System prompt includes explicit JSON structure requirements</li> </ul> <h2 id=citation-validation>Citation Validation<a class=headerlink href=#citation-validation title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>ALWAYS</strong> validate references before returning reports</li> <li>Use <code>validate_references()</code> from <code>src/utils/citation_validator.py</code></li> <li>Remove hallucinated citations (URLs not in evidence)</li> <li>Log warnings for removed citations</li> <li>Never trust LLM-generated citations without validation</li> </ul> <h2 id=citation-validation-rules>Citation Validation Rules<a class=headerlink href=#citation-validation-rules title="Anchor link to this section">&para;</a></h2> <ol> <li>Every reference URL must EXACTLY match a provided evidence URL</li> <li>Do NOT invent, fabricate, or hallucinate any references</li> <li>Do NOT modify paper titles, authors, dates, or URLs</li> <li>If unsure about a citation, OMIT it rather than guess</li> <li>Copy URLs exactly as provided - do not create similar-looking URLs</li> </ol> <h2 id=evidence-selection>Evidence Selection<a class=headerlink href=#evidence-selection title="Anchor link to this section">&para;</a></h2> <ul> <li>Use <code>select_diverse_evidence()</code> for MMR-based selection</li> <li>Balance relevance vs diversity (lambda=0.7 default)</li> <li>Sentence-aware truncation preserves meaning</li> <li>Limit evidence per prompt to avoid context overflow</li> </ul> <h2 id=see-also>See Also<a class=headerlink href=#see-also title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=../code-quality/ >Code Quality</a> - Code quality guidelines</li> <li><a href=../error-handling/ >Error Handling</a> - Error handling guidelines</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span 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class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=testing-requirements>Testing Requirements<a class=headerlink href=#testing-requirements title="Anchor link to this section">&para;</a></h1> <p>This document outlines testing requirements and guidelines for The DETERMINATOR.</p> <h2 id=test-structure>Test Structure<a class=headerlink href=#test-structure title="Anchor link to this section">&para;</a></h2> <ul> <li>Unit tests in <code>tests/unit/</code> (mocked, fast)</li> <li>Integration tests in <code>tests/integration/</code> (real APIs, marked <code>@pytest.mark.integration</code>)</li> <li>Use markers: <code>unit</code>, <code>integration</code>, <code>slow</code>, <code>openai</code>, <code>huggingface</code>, <code>embedding_provider</code>, <code>local_embeddings</code></li> </ul> <h2 id=test-markers>Test Markers<a class=headerlink href=#test-markers title="Anchor link to this section">&para;</a></h2> <p>The project uses pytest markers to categorize tests. These markers are defined in <code>pyproject.toml</code>:</p> <ul> <li><code>@pytest.mark.unit</code>: Unit tests (mocked, fast) - Run with <code>-m "unit"</code></li> <li><code>@pytest.mark.integration</code>: Integration tests (real APIs) - Run with <code>-m "integration"</code></li> <li><code>@pytest.mark.slow</code>: Slow tests - Run with <code>-m "slow"</code></li> <li><code>@pytest.mark.openai</code>: Tests requiring OpenAI API key - Run with <code>-m "openai"</code> or exclude with <code>-m "not openai"</code></li> <li><code>@pytest.mark.huggingface</code>: Tests requiring HuggingFace API key or using HuggingFace models - Run with <code>-m "huggingface"</code></li> <li><code>@pytest.mark.embedding_provider</code>: Tests requiring API-based embedding providers (OpenAI, etc.) - Run with <code>-m "embedding_provider"</code></li> <li><code>@pytest.mark.local_embeddings</code>: Tests using local embeddings (sentence-transformers, ChromaDB) - Run with <code>-m "local_embeddings"</code></li> </ul> <h3 id=running-tests-by-marker>Running Tests by Marker<a class=headerlink href=#running-tests-by-marker title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Run only unit tests (excludes OpenAI tests by default)</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=c1># Run HuggingFace tests</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;huggingface&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a><span class=c1># Run all tests</span>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a><span class=c1># Run only local embedding tests</span>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;local_embeddings&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>
-</span><span id=__span-0-13><a id=__codelineno-0-13 name=__codelineno-0-13 href=#__codelineno-0-13></a><span class=c1># Exclude slow tests</span>
-</span><span id=__span-0-14><a id=__codelineno-0-14 name=__codelineno-0-14 href=#__codelineno-0-14></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not slow&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span></code></pre></div> <p><strong>Note</strong>: The <code>-p no:logfire</code> flag disables the logfire plugin to avoid conflicts during testing.</p> <h2 id=mocking>Mocking<a class=headerlink href=#mocking title="Anchor link to this section">&para;</a></h2> <ul> <li>Use <code>respx</code> for httpx mocking</li> <li>Use <code>pytest-mock</code> for general mocking</li> <li>Mock LLM calls in unit tests (use <code>MockJudgeHandler</code>)</li> <li>Fixtures in <code>tests/conftest.py</code>: <code>mock_httpx_client</code>, <code>mock_llm_response</code></li> </ul> <h2 id=tdd-workflow>TDD Workflow<a class=headerlink href=#tdd-workflow title="Anchor link to this section">&para;</a></h2> <ol> <li>Write failing test in <code>tests/unit/</code></li> <li>Implement in <code>src/</code></li> <li>Ensure test passes</li> <li>Run checks: <code>uv run ruff check src tests &amp;&amp; uv run mypy src &amp;&amp; uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m "not openai" -p no:logfire</code></li> </ol> <h3 id=test-command-examples>Test Command Examples<a class=headerlink href=#test-command-examples title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=c1># Run unit tests (default, excludes OpenAI tests)</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-1-3><a id=__codelineno-1-3 name=__codelineno-1-3 href=#__codelineno-1-3></a>
-</span><span id=__span-1-4><a id=__codelineno-1-4 name=__codelineno-1-4 href=#__codelineno-1-4></a><span class=c1># Run HuggingFace tests</span>
-</span><span id=__span-1-5><a id=__codelineno-1-5 name=__codelineno-1-5 href=#__codelineno-1-5></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;huggingface&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span><span id=__span-1-6><a id=__codelineno-1-6 name=__codelineno-1-6 href=#__codelineno-1-6></a>
-</span><span id=__span-1-7><a id=__codelineno-1-7 name=__codelineno-1-7 href=#__codelineno-1-7></a><span class=c1># Run all tests</span>
-</span><span id=__span-1-8><a id=__codelineno-1-8 name=__codelineno-1-8 href=#__codelineno-1-8></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>tests/<span class=w> </span>-v<span class=w> </span>-p<span class=w> </span>no:logfire
-</span></code></pre></div> <h2 id=test-examples>Test Examples<a class=headerlink href=#test-examples title="Anchor link to this section">&para;</a></h2> <div class="language-python highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=nd>@pytest</span><span class=o>.</span><span class=n>mark</span><span class=o>.</span><span class=n>unit</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>test_pubmed_search</span><span class=p>(</span><span class=n>mock_httpx_client</span><span class=p>):</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>    <span class=n>tool</span> <span class=o>=</span> <span class=n>PubMedTool</span><span class=p>()</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a>    <span class=n>results</span> <span class=o>=</span> <span class=k>await</span> <span class=n>tool</span><span class=o>.</span><span class=n>search</span><span class=p>(</span><span class=s2>&quot;metformin&quot;</span><span class=p>,</span> <span class=n>max_results</span><span class=o>=</span><span class=mi>5</span><span class=p>)</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a>    <span class=k>assert</span> <span class=nb>len</span><span class=p>(</span><span class=n>results</span><span class=p>)</span> <span class=o>&gt;</span> <span class=mi>0</span>
-</span><span id=__span-2-6><a id=__codelineno-2-6 name=__codelineno-2-6 href=#__codelineno-2-6></a>    <span class=k>assert</span> <span class=nb>all</span><span class=p>(</span><span class=nb>isinstance</span><span class=p>(</span><span class=n>r</span><span class=p>,</span> <span class=n>Evidence</span><span class=p>)</span> <span class=k>for</span> <span class=n>r</span> <span class=ow>in</span> <span class=n>results</span><span class=p>)</span>
-</span><span id=__span-2-7><a id=__codelineno-2-7 name=__codelineno-2-7 href=#__codelineno-2-7></a>
-</span><span id=__span-2-8><a id=__codelineno-2-8 name=__codelineno-2-8 href=#__codelineno-2-8></a><span class=nd>@pytest</span><span class=o>.</span><span class=n>mark</span><span class=o>.</span><span class=n>integration</span>
-</span><span id=__span-2-9><a id=__codelineno-2-9 name=__codelineno-2-9 href=#__codelineno-2-9></a><span class=k>async</span> <span class=k>def</span><span class=w> </span><span class=nf>test_real_pubmed_search</span><span class=p>():</span>
-</span><span id=__span-2-10><a id=__codelineno-2-10 name=__codelineno-2-10 href=#__codelineno-2-10></a>    <span class=n>tool</span> <span class=o>=</span> <span class=n>PubMedTool</span><span class=p>()</span>
-</span><span id=__span-2-11><a id=__codelineno-2-11 name=__codelineno-2-11 href=#__codelineno-2-11></a>    <span class=n>results</span> <span class=o>=</span> <span class=k>await</span> <span class=n>tool</span><span class=o>.</span><span class=n>search</span><span class=p>(</span><span class=s2>&quot;metformin&quot;</span><span class=p>,</span> <span class=n>max_results</span><span class=o>=</span><span class=mi>3</span><span class=p>)</span>
-</span><span id=__span-2-12><a id=__codelineno-2-12 name=__codelineno-2-12 href=#__codelineno-2-12></a>    <span class=k>assert</span> <span class=nb>len</span><span class=p>(</span><span class=n>results</span><span class=p>)</span> <span class=o>&lt;=</span> <span class=mi>3</span>
-</span></code></pre></div> <h2 id=test-coverage>Test Coverage<a class=headerlink href=#test-coverage title="Anchor link to this section">&para;</a></h2> <h3 id=terminal-coverage-report>Terminal Coverage Report<a class=headerlink href=#terminal-coverage-report title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>term-missing<span class=w> </span>tests/unit/<span class=w> </span>-v<span class=w> </span>-m<span class=w> </span><span class=s2>&quot;not openai&quot;</span><span class=w> </span>-p<span class=w> </span>no:logfire
-</span></code></pre></div> <p>This shows coverage with missing lines highlighted in the terminal output.</p> <h3 id=html-coverage-report>HTML Coverage Report<a class=headerlink href=#html-coverage-report title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a>uv<span class=w> </span>run<span class=w> </span>pytest<span class=w> </span>--cov<span class=o>=</span>src<span class=w> </span>--cov-report<span class=o>=</span>html<span class=w> </span>-p<span class=w> </span>no:logfire
-</span></code></pre></div> <p>This generates an HTML coverage report in <code>htmlcov/index.html</code>. 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Comprehensive Review </span> </a> </li> <li class=md-nav__item> <a href=#example-4-hypothesis-testing class=md-nav__link> <span class=md-ellipsis> Example 4: Hypothesis Testing </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#mcp-tool-examples class=md-nav__link> <span class=md-ellipsis> MCP Tool Examples </span> </a> <nav class=md-nav aria-label="MCP Tool Examples"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#using-search_pubmed class=md-nav__link> <span class=md-ellipsis> Using search_pubmed </span> </a> </li> <li class=md-nav__item> <a href=#using-search_clinical_trials class=md-nav__link> <span class=md-ellipsis> Using search_clinical_trials </span> </a> </li> <li class=md-nav__item> <a href=#using-search_all class=md-nav__link> <span class=md-ellipsis> Using search_all </span> </a> </li> <li class=md-nav__item> <a href=#using-analyze_hypothesis class=md-nav__link> <span class=md-ellipsis> Using analyze_hypothesis </span> </a> </li> </ul> </nav> 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href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=examples>Examples<a class=headerlink href=#examples title="Anchor link to this section">&para;</a></h1> <p>This page provides examples of using The DETERMINATOR for various research tasks.</p> <h2 id=basic-research-query>Basic Research Query<a class=headerlink href=#basic-research-query title="Anchor link to this section">&para;</a></h2> <h3 id=example-1-drug-information>Example 1: Drug Information<a class=headerlink href=#example-1-drug-information title="Anchor link to this section">&para;</a></h3> <p><strong>Query</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>What are the latest treatments for Alzheimer&#39;s disease?
-</span></code></pre></div></p> <p><strong>What The DETERMINATOR Does</strong>: 1. Searches PubMed for recent papers 2. Searches ClinicalTrials.gov for active trials 3. Evaluates evidence quality 4. Synthesizes findings into a comprehensive report</p> <h3 id=example-2-clinical-trial-search>Example 2: Clinical Trial Search<a class=headerlink href=#example-2-clinical-trial-search title="Anchor link to this section">&para;</a></h3> <p><strong>Query</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a>What clinical trials are investigating metformin for cancer prevention?
-</span></code></pre></div></p> <p><strong>What The DETERMINATOR Does</strong>:</p> <ol> <li>Searches ClinicalTrials.gov for relevant trials</li> <li>Searches PubMed for supporting literature</li> <li>Provides trial details and status</li> <li>Summarizes findings</li> </ol> <h2 id=advanced-research-queries>Advanced Research Queries<a class=headerlink href=#advanced-research-queries title="Anchor link to this section">&para;</a></h2> <h3 id=example-3-comprehensive-review>Example 3: Comprehensive Review<a class=headerlink href=#example-3-comprehensive-review title="Anchor link to this section">&para;</a></h3> <p><strong>Query</strong>:</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a>Review the evidence for using metformin as an anti-aging intervention, 
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>including clinical trials, mechanisms of action, and safety profile.
-</span></code></pre></div> <p><strong>What The DETERMINATOR Does</strong>: 1. Uses deep research mode (multi-section) 2. Searches multiple sources in parallel 3. Generates sections on: - Clinical trials - Mechanisms of action - Safety profile 4. Synthesizes comprehensive report</p> <h3 id=example-4-hypothesis-testing>Example 4: Hypothesis Testing<a class=headerlink href=#example-4-hypothesis-testing title="Anchor link to this section">&para;</a></h3> <p><strong>Query</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>Test the hypothesis that regular exercise reduces Alzheimer&#39;s disease risk.
-</span></code></pre></div></p> <p><strong>What The DETERMINATOR Does</strong>: 1. Generates testable hypotheses 2. Searches for supporting/contradicting evidence 3. Performs statistical analysis (if Modal configured) 4. Provides verdict: SUPPORTED, REFUTED, or INCONCLUSIVE</p> <h2 id=mcp-tool-examples>MCP Tool Examples<a class=headerlink href=#mcp-tool-examples title="Anchor link to this section">&para;</a></h2> <h3 id=using-search_pubmed>Using search_pubmed<a class=headerlink href=#using-search_pubmed title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a>Search PubMed for &quot;CRISPR gene editing cancer therapy&quot;
-</span></code></pre></div> <h3 id=using-search_clinical_trials>Using search_clinical_trials<a class=headerlink href=#using-search_clinical_trials title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a>Find active clinical trials for &quot;diabetes type 2 treatment&quot;
-</span></code></pre></div> <h3 id=using-search_all>Using search_all<a class=headerlink href=#using-search_all title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a>Search all sources for &quot;COVID-19 vaccine side effects&quot;
-</span></code></pre></div> <h3 id=using-analyze_hypothesis>Using analyze_hypothesis<a class=headerlink href=#using-analyze_hypothesis title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a>Analyze whether vitamin D supplementation reduces COVID-19 severity
-</span></code></pre></div> <h2 id=code-examples>Code Examples<a class=headerlink href=#code-examples title="Anchor link to this section">&para;</a></h2> <h3 id=python-api-usage>Python API Usage<a class=headerlink href=#python-api-usage title="Anchor link to this section">&para;</a></h3> <div class="language-python highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.orchestrator_factory</span><span class=w> </span><span class=kn>import</span> <span class=n>create_orchestrator</span>
-</span><span id=__span-8-2><a id=__codelineno-8-2 name=__codelineno-8-2 href=#__codelineno-8-2></a><span class=kn>from</span><span class=w> </span><span class=nn>src.tools.search_handler</span><span class=w> </span><span class=kn>import</span> <span class=n>SearchHandler</span>
-</span><span id=__span-8-3><a id=__codelineno-8-3 name=__codelineno-8-3 href=#__codelineno-8-3></a><span class=kn>from</span><span class=w> </span><span class=nn>src.agent_factory.judges</span><span class=w> </span><span class=kn>import</span> <span class=n>create_judge_handler</span>
-</span><span id=__span-8-4><a id=__codelineno-8-4 name=__codelineno-8-4 href=#__codelineno-8-4></a>
-</span><span id=__span-8-5><a id=__codelineno-8-5 name=__codelineno-8-5 href=#__codelineno-8-5></a><span class=c1># Create orchestrator</span>
-</span><span id=__span-8-6><a id=__codelineno-8-6 name=__codelineno-8-6 href=#__codelineno-8-6></a><span class=n>search_handler</span> <span class=o>=</span> <span class=n>SearchHandler</span><span class=p>()</span>
-</span><span id=__span-8-7><a id=__codelineno-8-7 name=__codelineno-8-7 href=#__codelineno-8-7></a><span class=n>judge_handler</span> <span class=o>=</span> <span class=n>create_judge_handler</span><span class=p>()</span>
-</span></code></pre></div> <div class="language-python highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a><span class=c1># Run research query</span>
-</span><span id=__span-9-2><a id=__codelineno-9-2 name=__codelineno-9-2 href=#__codelineno-9-2></a><span class=n>query</span> <span class=o>=</span> <span class=s2>&quot;What are the latest treatments for Alzheimer&#39;s disease?&quot;</span>
-</span><span id=__span-9-3><a id=__codelineno-9-3 name=__codelineno-9-3 href=#__codelineno-9-3></a><span class=k>async</span> <span class=k>for</span> <span class=n>event</span> <span class=ow>in</span> <span class=n>orchestrator</span><span class=o>.</span><span class=n>run</span><span class=p>(</span><span class=n>query</span><span class=p>):</span>
-</span><span id=__span-9-4><a id=__codelineno-9-4 name=__codelineno-9-4 href=#__codelineno-9-4></a>    <span class=nb>print</span><span class=p>(</span><span class=sa>f</span><span class=s2>&quot;Event: </span><span class=si>{</span><span class=n>event</span><span class=o>.</span><span class=n>type</span><span class=si>}</span><span class=s2> - </span><span class=si>{</span><span class=n>event</span><span class=o>.</span><span class=n>data</span><span class=si>}</span><span class=s2>&quot;</span><span class=p>)</span>
-</span></code></pre></div> <h3 id=gradio-ui-integration>Gradio UI Integration<a class=headerlink href=#gradio-ui-integration title="Anchor link to this section">&para;</a></h3> <div class="language-python highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a><span class=kn>import</span><span class=w> </span><span class=nn>gradio</span><span class=w> </span><span class=k>as</span><span class=w> </span><span class=nn>gr</span>
-</span><span id=__span-10-2><a id=__codelineno-10-2 name=__codelineno-10-2 href=#__codelineno-10-2></a><span class=kn>from</span><span class=w> </span><span class=nn>src.app</span><span class=w> </span><span class=kn>import</span> <span class=n>create_research_interface</span>
-</span><span id=__span-10-3><a id=__codelineno-10-3 name=__codelineno-10-3 href=#__codelineno-10-3></a>
-</span><span id=__span-10-4><a id=__codelineno-10-4 name=__codelineno-10-4 href=#__codelineno-10-4></a><span class=c1># Create interface</span>
-</span><span id=__span-10-5><a id=__codelineno-10-5 name=__codelineno-10-5 href=#__codelineno-10-5></a><span class=n>interface</span> <span class=o>=</span> <span class=n>create_research_interface</span><span class=p>()</span>
-</span><span id=__span-10-6><a id=__codelineno-10-6 name=__codelineno-10-6 href=#__codelineno-10-6></a>
-</span><span id=__span-10-7><a id=__codelineno-10-7 name=__codelineno-10-7 href=#__codelineno-10-7></a><span class=c1># Launch</span>
-</span><span id=__span-10-8><a id=__codelineno-10-8 name=__codelineno-10-8 href=#__codelineno-10-8></a><span class=n>interface</span><span class=o>.</span><span class=n>launch</span><span class=p>(</span><span class=n>server_name</span><span class=o>=</span><span class=s2>&quot;0.0.0.0&quot;</span><span class=p>,</span> <span class=n>server_port</span><span class=o>=</span><span class=mi>7860</span><span class=p>)</span>
-</span></code></pre></div> <h2 id=research-patterns>Research Patterns<a class=headerlink href=#research-patterns title="Anchor link to this section">&para;</a></h2> <h3 id=iterative-research>Iterative Research<a class=headerlink href=#iterative-research title="Anchor link to this section">&para;</a></h3> <p>Single-loop research with search-judge-synthesize cycles:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-11-1><a id=__codelineno-11-1 name=__codelineno-11-1 href=#__codelineno-11-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.orchestrator.research_flow</span><span class=w> </span><span class=kn>import</span> <span class=n>IterativeResearchFlow</span>
-</span></code></pre></div> <div class="language-python highlight"><pre><span></span><code><span id=__span-12-1><a id=__codelineno-12-1 name=__codelineno-12-1 href=#__codelineno-12-1></a><span class=k>async</span> <span class=k>for</span> <span class=n>event</span> <span class=ow>in</span> <span class=n>flow</span><span class=o>.</span><span class=n>run</span><span class=p>(</span><span class=n>query</span><span class=p>):</span>
-</span><span id=__span-12-2><a id=__codelineno-12-2 name=__codelineno-12-2 href=#__codelineno-12-2></a>    <span class=c1># Handle events</span>
-</span><span id=__span-12-3><a id=__codelineno-12-3 name=__codelineno-12-3 href=#__codelineno-12-3></a>    <span class=k>pass</span>
-</span></code></pre></div> <h3 id=deep-research>Deep Research<a class=headerlink href=#deep-research title="Anchor link to this section">&para;</a></h3> <p>Multi-section parallel research:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-13-1><a id=__codelineno-13-1 name=__codelineno-13-1 href=#__codelineno-13-1></a><span class=kn>from</span><span class=w> </span><span class=nn>src.orchestrator.research_flow</span><span class=w> </span><span class=kn>import</span> <span class=n>DeepResearchFlow</span>
-</span></code></pre></div> <div class="language-python highlight"><pre><span></span><code><span id=__span-14-1><a id=__codelineno-14-1 name=__codelineno-14-1 href=#__codelineno-14-1></a><span class=k>async</span> <span class=k>for</span> <span class=n>event</span> <span class=ow>in</span> <span class=n>flow</span><span class=o>.</span><span class=n>run</span><span class=p>(</span><span class=n>query</span><span class=p>):</span>
-</span><span id=__span-14-2><a id=__codelineno-14-2 name=__codelineno-14-2 href=#__codelineno-14-2></a>    <span class=c1># Handle events</span>
-</span><span id=__span-14-3><a id=__codelineno-14-3 name=__codelineno-14-3 href=#__codelineno-14-3></a>    <span class=k>pass</span>
-</span></code></pre></div> <h2 id=configuration-examples>Configuration Examples<a class=headerlink href=#configuration-examples title="Anchor link to this section">&para;</a></h2> <h3 id=basic-configuration>Basic Configuration<a class=headerlink href=#basic-configuration title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-15-1><a id=__codelineno-15-1 name=__codelineno-15-1 href=#__codelineno-15-1></a><span class=c1># .env file</span>
-</span><span id=__span-15-2><a id=__codelineno-15-2 name=__codelineno-15-2 href=#__codelineno-15-2></a><span class=nv>LLM_PROVIDER</span><span class=o>=</span>openai
-</span><span id=__span-15-3><a id=__codelineno-15-3 name=__codelineno-15-3 href=#__codelineno-15-3></a><span class=nv>OPENAI_API_KEY</span><span class=o>=</span>your_key_here
-</span><span id=__span-15-4><a id=__codelineno-15-4 name=__codelineno-15-4 href=#__codelineno-15-4></a><span class=nv>MAX_ITERATIONS</span><span class=o>=</span><span class=m>10</span>
-</span></code></pre></div> <h3 id=advanced-configuration>Advanced Configuration<a class=headerlink href=#advanced-configuration title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-16-1><a id=__codelineno-16-1 name=__codelineno-16-1 href=#__codelineno-16-1></a><span class=c1># .env file</span>
-</span><span id=__span-16-2><a id=__codelineno-16-2 name=__codelineno-16-2 href=#__codelineno-16-2></a><span class=nv>LLM_PROVIDER</span><span class=o>=</span>anthropic
-</span><span id=__span-16-3><a id=__codelineno-16-3 name=__codelineno-16-3 href=#__codelineno-16-3></a><span class=nv>ANTHROPIC_API_KEY</span><span class=o>=</span>your_key_here
-</span><span id=__span-16-4><a id=__codelineno-16-4 name=__codelineno-16-4 href=#__codelineno-16-4></a><span class=nv>EMBEDDING_PROVIDER</span><span class=o>=</span><span class=nb>local</span>
-</span><span id=__span-16-5><a id=__codelineno-16-5 name=__codelineno-16-5 href=#__codelineno-16-5></a><span class=nv>WEB_SEARCH_PROVIDER</span><span class=o>=</span>duckduckgo
-</span><span id=__span-16-6><a id=__codelineno-16-6 name=__codelineno-16-6 href=#__codelineno-16-6></a><span class=nv>MAX_ITERATIONS</span><span class=o>=</span><span class=m>20</span>
-</span><span id=__span-16-7><a id=__codelineno-16-7 name=__codelineno-16-7 href=#__codelineno-16-7></a><span class=nv>DEFAULT_TOKEN_LIMIT</span><span class=o>=</span><span class=m>200000</span>
-</span><span id=__span-16-8><a id=__codelineno-16-8 name=__codelineno-16-8 href=#__codelineno-16-8></a><span class=nv>USE_GRAPH_EXECUTION</span><span class=o>=</span><span class=nb>true</span>
-</span></code></pre></div> <h2 id=next-steps>Next Steps<a class=headerlink href=#next-steps title="Anchor link to this section">&para;</a></h2> <ul> <li>Read the <a href=../../configuration/ >Configuration Guide</a> for all options</li> <li>Explore the <a href=../../architecture/graph_orchestration/ >Architecture Documentation</a></li> <li>Check out the <a href=../../api/agents/ >API Reference</a> for programmatic usage</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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Steps"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#1-install-uv-recommended class=md-nav__link> <span class=md-ellipsis> 1. Install uv (Recommended) </span> </a> </li> <li class=md-nav__item> <a href=#2-clone-the-repository class=md-nav__link> <span class=md-ellipsis> 2. Clone the Repository </span> </a> </li> <li class=md-nav__item> <a href=#3-install-dependencies class=md-nav__link> <span class=md-ellipsis> 3. Install Dependencies </span> </a> </li> <li class=md-nav__item> <a href=#4-install-optional-dependencies class=md-nav__link> <span class=md-ellipsis> 4. Install Optional Dependencies </span> </a> </li> <li class=md-nav__item> <a href=#5-configure-environment-variables class=md-nav__link> <span class=md-ellipsis> 5. Configure Environment Variables </span> </a> </li> <li class=md-nav__item> <a href=#6-verify-installation class=md-nav__link> <span class=md-ellipsis> 6. Verify Installation </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#development-setup class=md-nav__link> <span class=md-ellipsis> Development Setup </span> </a> </li> <li class=md-nav__item> <a href=#troubleshooting class=md-nav__link> <span class=md-ellipsis> Troubleshooting </span> </a> <nav class=md-nav aria-label=Troubleshooting> <ul class=md-nav__list> <li class=md-nav__item> <a href=#common-issues class=md-nav__link> <span class=md-ellipsis> Common Issues </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#next-steps class=md-nav__link> <span class=md-ellipsis> Next Steps </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../quick-start/ class=md-nav__link> <span class=md-ellipsis> Single Command Deploy </span> </a> </li> <li class=md-nav__item> <a href=../mcp-integration/ class=md-nav__link> <span class=md-ellipsis> MCP Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Examples </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_4> <div class="md-nav__link md-nav__container"> <a href=../../configuration/ class="md-nav__link "> <span class=md-ellipsis> Configuration </span> </a> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=false> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Configuration </label> <ul class=md-nav__list data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_5> <label class=md-nav__link for=__nav_5 id=__nav_5_label tabindex=0> <span class=md-ellipsis> Architecture </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=false> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Architecture </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../architecture/graph_orchestration/ class=md-nav__link> <span class=md-ellipsis> Graph Orchestration </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/workflow-diagrams/ class=md-nav__link> <span class=md-ellipsis> Workflow Diagrams </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/agents/ class=md-nav__link> <span class=md-ellipsis> Agents </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/tools/ class=md-nav__link> <span class=md-ellipsis> Tools </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/middleware/ class=md-nav__link> <span class=md-ellipsis> Middleware </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/services/ class=md-nav__link> <span class=md-ellipsis> Services </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_6> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex=0> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=false> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=installation>Installation<a class=headerlink href=#installation title="Anchor link to this section">&para;</a></h1> <p>This guide will help you install and set up DeepCritical on your system.</p> <h2 id=prerequisites>Prerequisites<a class=headerlink href=#prerequisites title="Anchor link to this section">&para;</a></h2> <ul> <li>Python 3.11 or higher</li> <li><code>uv</code> package manager (recommended) or <code>pip</code></li> <li>At least one LLM API key (OpenAI, Anthropic, or HuggingFace)</li> </ul> <h2 id=installation-steps>Installation Steps<a class=headerlink href=#installation-steps title="Anchor link to this section">&para;</a></h2> <h3 id=1-install-uv-recommended>1. Install uv (Recommended)<a class=headerlink href=#1-install-uv-recommended title="Anchor link to this section">&para;</a></h3> <p><code>uv</code> is a fast Python package installer and resolver. Install it using the standalone installer (recommended):</p> <p><strong>Unix/macOS/Linux:</strong> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>curl<span class=w> </span>-LsSf<span class=w> </span>https://astral.sh/uv/install.sh<span class=w> </span><span class=p>|</span><span class=w> </span>sh
-</span></code></pre></div></p> <p><strong>Windows (PowerShell):</strong> <div class="language-powershell highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=n>powershell</span> <span class=n>-ExecutionPolicy</span> <span class=n>ByPass</span> <span class=n>-c</span> <span class=s2>&quot;irm https://astral.sh/uv/install.ps1 | iex&quot;</span>
-</span></code></pre></div></p> <p><strong>Alternative methods:</strong> <div class="language-bash highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=c1># Using pipx (recommended if you have pipx installed)</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>pipx<span class=w> </span>install<span class=w> </span>uv
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a><span class=c1># Or using pip</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a>pip<span class=w> </span>install<span class=w> </span>uv
-</span></code></pre></div></p> <p>After installation, restart your terminal or add <code>~/.cargo/bin</code> to your PATH.</p> <h3 id=2-clone-the-repository>2. Clone the Repository<a class=headerlink href=#2-clone-the-repository title="Anchor link to this section">&para;</a></h3> <div class="language-bash highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>git<span class=w> </span>clone<span class=w> </span>https://github.com/DeepCritical/GradioDemo.git
-</span><span id=__span-3-2><a id=__codelineno-3-2 name=__codelineno-3-2 href=#__codelineno-3-2></a><span class=nb>cd</span><span class=w> </span>GradioDemo
-</span></code></pre></div> <h3 id=3-install-dependencies>3. Install Dependencies<a class=headerlink href=#3-install-dependencies title="Anchor link to this section">&para;</a></h3> <p>Using <code>uv</code> (recommended):</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a>uv<span class=w> </span>sync
-</span></code></pre></div> <p>Using <code>pip</code>:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a>pip<span class=w> </span>install<span class=w> </span>-e<span class=w> </span>.
-</span></code></pre></div> <h3 id=4-install-optional-dependencies>4. Install Optional Dependencies<a class=headerlink href=#4-install-optional-dependencies title="Anchor link to this section">&para;</a></h3> <p>For embeddings support (local sentence-transformers):</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a>uv<span class=w> </span>sync<span class=w> </span>--extra<span class=w> </span>embeddings
-</span></code></pre></div> <p>For Modal sandbox execution:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a>uv<span class=w> </span>sync<span class=w> </span>--extra<span class=w> </span>modal
-</span></code></pre></div> <p>For Magentic orchestration:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a>uv<span class=w> </span>sync<span class=w> </span>--extra<span class=w> </span>magentic
-</span></code></pre></div> <p>Install all extras:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras
-</span></code></pre></div> <h3 id=5-configure-environment-variables>5. Configure Environment Variables<a class=headerlink href=#5-configure-environment-variables title="Anchor link to this section">&para;</a></h3> <p>Create a <code>.env</code> file in the project root:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a><span class=c1># Required: At least one LLM provider</span>
-</span><span id=__span-10-2><a id=__codelineno-10-2 name=__codelineno-10-2 href=#__codelineno-10-2></a><span class=nv>LLM_PROVIDER</span><span class=o>=</span>openai<span class=w>  </span><span class=c1># or &quot;anthropic&quot; or &quot;huggingface&quot;</span>
-</span><span id=__span-10-3><a id=__codelineno-10-3 name=__codelineno-10-3 href=#__codelineno-10-3></a><span class=nv>OPENAI_API_KEY</span><span class=o>=</span>your_openai_api_key_here
-</span><span id=__span-10-4><a id=__codelineno-10-4 name=__codelineno-10-4 href=#__codelineno-10-4></a>
-</span><span id=__span-10-5><a id=__codelineno-10-5 name=__codelineno-10-5 href=#__codelineno-10-5></a><span class=c1># Optional: Other services</span>
-</span><span id=__span-10-6><a id=__codelineno-10-6 name=__codelineno-10-6 href=#__codelineno-10-6></a><span class=nv>NCBI_API_KEY</span><span class=o>=</span>your_ncbi_api_key_here<span class=w>  </span><span class=c1># For higher PubMed rate limits</span>
-</span><span id=__span-10-7><a id=__codelineno-10-7 name=__codelineno-10-7 href=#__codelineno-10-7></a><span class=nv>MODAL_TOKEN_ID</span><span class=o>=</span>your_modal_token_id
-</span><span id=__span-10-8><a id=__codelineno-10-8 name=__codelineno-10-8 href=#__codelineno-10-8></a><span class=nv>MODAL_TOKEN_SECRET</span><span class=o>=</span>your_modal_token_secret
-</span></code></pre></div> <p>See the <a href=../../configuration/ >Configuration Guide</a> for all available options.</p> <h3 id=6-verify-installation>6. Verify Installation<a class=headerlink href=#6-verify-installation title="Anchor link to this section">&para;</a></h3> <p>Run the application:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-11-1><a id=__codelineno-11-1 name=__codelineno-11-1 href=#__codelineno-11-1></a>uv<span class=w> </span>run<span class=w> </span>gradio<span class=w> </span>run<span class=w> </span>src/app.py
-</span></code></pre></div> <p>Open your browser to <code>http://localhost:7860</code> to verify the installation.</p> <h2 id=development-setup>Development Setup<a class=headerlink href=#development-setup title="Anchor link to this section">&para;</a></h2> <p>For development, install dev dependencies:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-12-1><a id=__codelineno-12-1 name=__codelineno-12-1 href=#__codelineno-12-1></a>uv<span class=w> </span>sync<span class=w> </span>--all-extras<span class=w> </span>--dev
-</span></code></pre></div> <p>Install pre-commit hooks:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-13-1><a id=__codelineno-13-1 name=__codelineno-13-1 href=#__codelineno-13-1></a>uv<span class=w> </span>run<span class=w> </span>pre-commit<span class=w> </span>install
-</span></code></pre></div> <h2 id=troubleshooting>Troubleshooting<a class=headerlink href=#troubleshooting title="Anchor link to this section">&para;</a></h2> <h3 id=common-issues>Common Issues<a class=headerlink href=#common-issues title="Anchor link to this section">&para;</a></h3> <p><strong>Import Errors</strong>: - Ensure you've installed all required dependencies - Check that Python 3.11+ is being used</p> <p><strong>API Key Errors</strong>: - Verify your <code>.env</code> file is in the project root - Check that API keys are correctly formatted - Ensure at least one LLM provider is configured</p> <p><strong>Module Not Found</strong>: - Run <code>uv sync</code> or <code>pip install -e .</code> again - Check that you're in the correct virtual environment</p> <p><strong>Port Already in Use</strong>: - Change the port in <code>src/app.py</code> or use environment variable - Kill the process using port 7860</p> <h2 id=next-steps>Next Steps<a class=headerlink href=#next-steps title="Anchor link to this section">&para;</a></h2> <ul> <li>Read the <a href=../quick-start/ >Quick Start Guide</a></li> <li>Learn about <a href=../mcp-integration/ >MCP Integration</a></li> <li>Explore <a href=../examples/ >Examples</a></li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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class=md-nav__item> <a href=#what-is-mcp class=md-nav__link> <span class=md-ellipsis> What is MCP? </span> </a> </li> <li class=md-nav__item> <a href=#mcp-server-url class=md-nav__link> <span class=md-ellipsis> MCP Server URL </span> </a> </li> <li class=md-nav__item> <a href=#claude-desktop-configuration class=md-nav__link> <span class=md-ellipsis> Claude Desktop Configuration </span> </a> <nav class=md-nav aria-label="Claude Desktop Configuration"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#1-locate-configuration-file class=md-nav__link> <span class=md-ellipsis> 1. Locate Configuration File </span> </a> </li> <li class=md-nav__item> <a href=#2-add-the-determinator-server class=md-nav__link> <span class=md-ellipsis> 2. Add The DETERMINATOR Server </span> </a> </li> <li class=md-nav__item> <a href=#3-restart-claude-desktop class=md-nav__link> <span class=md-ellipsis> 3. Restart Claude Desktop </span> </a> </li> <li class=md-nav__item> <a href=#4-verify-connection class=md-nav__link> <span class=md-ellipsis> 4. Verify Connection </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#available-tools class=md-nav__link> <span class=md-ellipsis> Available Tools </span> </a> <nav class=md-nav aria-label="Available Tools"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#search_pubmed class=md-nav__link> <span class=md-ellipsis> search_pubmed </span> </a> </li> <li class=md-nav__item> <a href=#search_clinical_trials class=md-nav__link> <span class=md-ellipsis> search_clinical_trials </span> </a> </li> <li class=md-nav__item> <a href=#search_biorxiv class=md-nav__link> <span class=md-ellipsis> search_biorxiv </span> </a> </li> <li class=md-nav__item> <a href=#search_all class=md-nav__link> <span class=md-ellipsis> search_all </span> </a> </li> <li class=md-nav__item> <a href=#analyze_hypothesis class=md-nav__link> <span class=md-ellipsis> analyze_hypothesis </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#using-tools-in-claude-desktop class=md-nav__link> <span class=md-ellipsis> Using Tools in Claude Desktop </span> </a> </li> <li class=md-nav__item> <a href=#troubleshooting class=md-nav__link> <span class=md-ellipsis> Troubleshooting </span> </a> <nav class=md-nav aria-label=Troubleshooting> <ul class=md-nav__list> <li class=md-nav__item> <a href=#connection-issues class=md-nav__link> <span class=md-ellipsis> Connection Issues </span> </a> </li> <li class=md-nav__item> <a href=#authentication class=md-nav__link> <span class=md-ellipsis> Authentication </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#advanced-configuration class=md-nav__link> <span class=md-ellipsis> Advanced Configuration </span> </a> <nav class=md-nav aria-label="Advanced Configuration"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#custom-port class=md-nav__link> <span class=md-ellipsis> Custom Port </span> </a> </li> <li class=md-nav__item> <a href=#multiple-instances class=md-nav__link> <span class=md-ellipsis> Multiple Instances </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#next-steps class=md-nav__link> <span class=md-ellipsis> Next Steps </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Examples </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_4> <div class="md-nav__link md-nav__container"> <a href=../../configuration/ class="md-nav__link "> <span class=md-ellipsis> Configuration </span> </a> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=false> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Configuration </label> <ul class=md-nav__list data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" 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for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=mcp-integration>MCP Integration<a class=headerlink href=#mcp-integration title="Anchor link to this section">&para;</a></h1> <p>The DETERMINATOR exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.</p> <h2 id=what-is-mcp>What is MCP?<a class=headerlink href=#what-is-mcp title="Anchor link to this section">&para;</a></h2> <p>The Model Context Protocol (MCP) is a standard for connecting AI assistants to external tools and data sources. The DETERMINATOR implements an MCP server that exposes its search capabilities as MCP tools.</p> <h2 id=mcp-server-url>MCP Server URL<a class=headerlink href=#mcp-server-url title="Anchor link to this section">&para;</a></h2> <p>When running locally:</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>http://localhost:7860/gradio_api/mcp/
-</span></code></pre></div> <h2 id=claude-desktop-configuration>Claude Desktop Configuration<a class=headerlink href=#claude-desktop-configuration title="Anchor link to this section">&para;</a></h2> <h3 id=1-locate-configuration-file>1. Locate Configuration File<a class=headerlink href=#1-locate-configuration-file title="Anchor link to this section">&para;</a></h3> <p><strong>macOS</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a>~/Library/Application Support/Claude/claude_desktop_config.json
-</span></code></pre></div></p> <p><strong>Windows</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a>%APPDATA%\Claude\claude_desktop_config.json
-</span></code></pre></div></p> <p><strong>Linux</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>~/.config/Claude/claude_desktop_config.json
-</span></code></pre></div></p> <h3 id=2-add-the-determinator-server>2. Add The DETERMINATOR Server<a class=headerlink href=#2-add-the-determinator-server title="Anchor link to this section">&para;</a></h3> <p>Edit <code>claude_desktop_config.json</code> and add:</p> <div class="language-json highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a><span class=p>{</span>
-</span><span id=__span-4-2><a id=__codelineno-4-2 name=__codelineno-4-2 href=#__codelineno-4-2></a><span class=w>  </span><span class=nt>&quot;mcpServers&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-4-3><a id=__codelineno-4-3 name=__codelineno-4-3 href=#__codelineno-4-3></a><span class=w>    </span><span class=nt>&quot;determinator&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-4-4><a id=__codelineno-4-4 name=__codelineno-4-4 href=#__codelineno-4-4></a><span class=w>      </span><span class=nt>&quot;url&quot;</span><span class=p>:</span><span class=w> </span><span class=s2>&quot;http://localhost:7860/gradio_api/mcp/&quot;</span>
-</span><span id=__span-4-5><a id=__codelineno-4-5 name=__codelineno-4-5 href=#__codelineno-4-5></a><span class=w>    </span><span class=p>}</span>
-</span><span id=__span-4-6><a id=__codelineno-4-6 name=__codelineno-4-6 href=#__codelineno-4-6></a><span class=w>  </span><span class=p>}</span>
-</span><span id=__span-4-7><a id=__codelineno-4-7 name=__codelineno-4-7 href=#__codelineno-4-7></a><span class=p>}</span>
-</span></code></pre></div> <h3 id=3-restart-claude-desktop>3. Restart Claude Desktop<a class=headerlink href=#3-restart-claude-desktop title="Anchor link to this section">&para;</a></h3> <p>Close and restart Claude Desktop for changes to take effect.</p> <h3 id=4-verify-connection>4. Verify Connection<a class=headerlink href=#4-verify-connection title="Anchor link to this section">&para;</a></h3> <p>In Claude Desktop, you should see The DETERMINATOR tools available: - <code>search_pubmed</code> - <code>search_clinical_trials</code> - <code>search_biorxiv</code> - <code>search_all</code> - <code>analyze_hypothesis</code></p> <h2 id=available-tools>Available Tools<a class=headerlink href=#available-tools title="Anchor link to this section">&para;</a></h2> <h3 id=search_pubmed>search_pubmed<a class=headerlink href=#search_pubmed title="Anchor link to this section">&para;</a></h3> <p>Search peer-reviewed biomedical literature from PubMed.</p> <p><strong>Parameters</strong>: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p><strong>Example</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-5-1><a id=__codelineno-5-1 name=__codelineno-5-1 href=#__codelineno-5-1></a>Search PubMed for &quot;metformin diabetes&quot;
-</span></code></pre></div></p> <h3 id=search_clinical_trials>search_clinical_trials<a class=headerlink href=#search_clinical_trials title="Anchor link to this section">&para;</a></h3> <p>Search ClinicalTrials.gov for interventional studies.</p> <p><strong>Parameters</strong>: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p><strong>Example</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-6-1><a id=__codelineno-6-1 name=__codelineno-6-1 href=#__codelineno-6-1></a>Search clinical trials for &quot;Alzheimer&#39;s disease treatment&quot;
-</span></code></pre></div></p> <h3 id=search_biorxiv>search_biorxiv<a class=headerlink href=#search_biorxiv title="Anchor link to this section">&para;</a></h3> <p>Search bioRxiv/medRxiv preprints via Europe PMC.</p> <p><strong>Parameters</strong>: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p><strong>Example</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-7-1><a id=__codelineno-7-1 name=__codelineno-7-1 href=#__codelineno-7-1></a>Search bioRxiv for &quot;CRISPR gene editing&quot;
-</span></code></pre></div></p> <h3 id=search_all>search_all<a class=headerlink href=#search_all title="Anchor link to this section">&para;</a></h3> <p>Search all sources simultaneously (PubMed, ClinicalTrials.gov, Europe PMC).</p> <p><strong>Parameters</strong>: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results per source (default: 10)</p> <p><strong>Example</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-8-1><a id=__codelineno-8-1 name=__codelineno-8-1 href=#__codelineno-8-1></a>Search all sources for &quot;COVID-19 vaccine efficacy&quot;
-</span></code></pre></div></p> <h3 id=analyze_hypothesis>analyze_hypothesis<a class=headerlink href=#analyze_hypothesis title="Anchor link to this section">&para;</a></h3> <p>Perform secure statistical analysis using Modal sandboxes.</p> <p><strong>Parameters</strong>: - <code>hypothesis</code> (string): Hypothesis to analyze - <code>data</code> (string, optional): Data description or code</p> <p><strong>Example</strong>: <div class="language-text highlight"><pre><span></span><code><span id=__span-9-1><a id=__codelineno-9-1 name=__codelineno-9-1 href=#__codelineno-9-1></a>Analyze the hypothesis that metformin reduces cancer risk
-</span></code></pre></div></p> <h2 id=using-tools-in-claude-desktop>Using Tools in Claude Desktop<a class=headerlink href=#using-tools-in-claude-desktop title="Anchor link to this section">&para;</a></h2> <p>Once configured, you can ask Claude to use DeepCritical tools:</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-10-1><a id=__codelineno-10-1 name=__codelineno-10-1 href=#__codelineno-10-1></a>Use DeepCritical to search PubMed for recent papers on Alzheimer&#39;s disease treatments.
-</span></code></pre></div> <p>Claude will automatically: 1. Call the appropriate DeepCritical tool 2. Retrieve results 3. Use the results in its response</p> <h2 id=troubleshooting>Troubleshooting<a class=headerlink href=#troubleshooting title="Anchor link to this section">&para;</a></h2> <h3 id=connection-issues>Connection Issues<a class=headerlink href=#connection-issues title="Anchor link to this section">&para;</a></h3> <p><strong>Server Not Found</strong>: - Ensure DeepCritical is running (<code>uv run gradio run src/app.py</code>) - Verify the URL in <code>claude_desktop_config.json</code> is correct - Check that port 7860 is not blocked by firewall</p> <p><strong>Tools Not Appearing</strong>: - Restart Claude Desktop after configuration changes - Check Claude Desktop logs for errors - Verify MCP server is accessible at the configured URL</p> <h3 id=authentication>Authentication<a class=headerlink href=#authentication title="Anchor link to this section">&para;</a></h3> <p>If DeepCritical requires authentication: - Configure API keys in DeepCritical settings - Use HuggingFace OAuth login - Ensure API keys are valid</p> <h2 id=advanced-configuration>Advanced Configuration<a class=headerlink href=#advanced-configuration title="Anchor link to this section">&para;</a></h2> <h3 id=custom-port>Custom Port<a class=headerlink href=#custom-port title="Anchor link to this section">&para;</a></h3> <p>If running on a different port, update the URL:</p> <div class="language-json highlight"><pre><span></span><code><span id=__span-11-1><a id=__codelineno-11-1 name=__codelineno-11-1 href=#__codelineno-11-1></a><span class=p>{</span>
-</span><span id=__span-11-2><a id=__codelineno-11-2 name=__codelineno-11-2 href=#__codelineno-11-2></a><span class=w>  </span><span class=nt>&quot;mcpServers&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-11-3><a id=__codelineno-11-3 name=__codelineno-11-3 href=#__codelineno-11-3></a><span class=w>    </span><span class=nt>&quot;deepcritical&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-11-4><a id=__codelineno-11-4 name=__codelineno-11-4 href=#__codelineno-11-4></a><span class=w>      </span><span class=nt>&quot;url&quot;</span><span class=p>:</span><span class=w> </span><span class=s2>&quot;http://localhost:8080/gradio_api/mcp/&quot;</span>
-</span><span id=__span-11-5><a id=__codelineno-11-5 name=__codelineno-11-5 href=#__codelineno-11-5></a><span class=w>    </span><span class=p>}</span>
-</span><span id=__span-11-6><a id=__codelineno-11-6 name=__codelineno-11-6 href=#__codelineno-11-6></a><span class=w>  </span><span class=p>}</span>
-</span><span id=__span-11-7><a id=__codelineno-11-7 name=__codelineno-11-7 href=#__codelineno-11-7></a><span class=p>}</span>
-</span></code></pre></div> <h3 id=multiple-instances>Multiple Instances<a class=headerlink href=#multiple-instances title="Anchor link to this section">&para;</a></h3> <p>You can configure multiple DeepCritical instances:</p> <div class="language-json highlight"><pre><span></span><code><span id=__span-12-1><a id=__codelineno-12-1 name=__codelineno-12-1 href=#__codelineno-12-1></a><span class=p>{</span>
-</span><span id=__span-12-2><a id=__codelineno-12-2 name=__codelineno-12-2 href=#__codelineno-12-2></a><span class=w>  </span><span class=nt>&quot;mcpServers&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-12-3><a id=__codelineno-12-3 name=__codelineno-12-3 href=#__codelineno-12-3></a><span class=w>    </span><span class=nt>&quot;deepcritical-local&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-12-4><a id=__codelineno-12-4 name=__codelineno-12-4 href=#__codelineno-12-4></a><span class=w>      </span><span class=nt>&quot;url&quot;</span><span class=p>:</span><span class=w> </span><span class=s2>&quot;http://localhost:7860/gradio_api/mcp/&quot;</span>
-</span><span id=__span-12-5><a id=__codelineno-12-5 name=__codelineno-12-5 href=#__codelineno-12-5></a><span class=w>    </span><span class=p>},</span>
-</span><span id=__span-12-6><a id=__codelineno-12-6 name=__codelineno-12-6 href=#__codelineno-12-6></a><span class=w>    </span><span class=nt>&quot;deepcritical-remote&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-12-7><a id=__codelineno-12-7 name=__codelineno-12-7 href=#__codelineno-12-7></a><span class=w>      </span><span class=nt>&quot;url&quot;</span><span class=p>:</span><span class=w> </span><span class=s2>&quot;https://your-server.com/gradio_api/mcp/&quot;</span>
-</span><span id=__span-12-8><a id=__codelineno-12-8 name=__codelineno-12-8 href=#__codelineno-12-8></a><span class=w>    </span><span class=p>}</span>
-</span><span id=__span-12-9><a id=__codelineno-12-9 name=__codelineno-12-9 href=#__codelineno-12-9></a><span class=w>  </span><span class=p>}</span>
-</span><span id=__span-12-10><a id=__codelineno-12-10 name=__codelineno-12-10 href=#__codelineno-12-10></a><span class=p>}</span>
-</span></code></pre></div> <h2 id=next-steps>Next Steps<a class=headerlink href=#next-steps title="Anchor link to this section">&para;</a></h2> <ul> <li>Learn about <a href=../../configuration/ >Configuration</a> for advanced settings</li> <li>Explore <a href=../examples/ >Examples</a> for use cases</li> <li>Read the <a href=../../architecture/graph_orchestration/ >Architecture Documentation</a></li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=false> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Architecture </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../architecture/graph_orchestration/ class=md-nav__link> <span class=md-ellipsis> Graph Orchestration </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/workflow-diagrams/ class=md-nav__link> <span class=md-ellipsis> Workflow Diagrams </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/agents/ class=md-nav__link> <span class=md-ellipsis> Agents </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/tools/ class=md-nav__link> <span class=md-ellipsis> Tools </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/middleware/ class=md-nav__link> <span class=md-ellipsis> Middleware </span> </a> </li> <li class=md-nav__item> <a href=../../architecture/services/ class=md-nav__link> <span class=md-ellipsis> Services </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_6> <label class=md-nav__link for=__nav_6 id=__nav_6_label tabindex=0> <span class=md-ellipsis> API Reference </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_6_label aria-expanded=false> <label class=md-nav__title for=__nav_6> <span class="md-nav__icon md-icon"></span> API Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=../../api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=single-command-deploy>Single Command Deploy<a class=headerlink href=#single-command-deploy title="Anchor link to this section">&para;</a></h1> <p>Deploy with docker instandly with a single command :</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>docker<span class=w> </span>run<span class=w> </span>-it<span class=w> </span>-p<span class=w> </span><span class=m>7860</span>:7860<span class=w> </span>--platform<span class=o>=</span>linux/amd64<span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a><span class=w>    </span>-e<span class=w> </span><span class=nv>DB_KEY</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a><span class=w>    </span>-e<span class=w> </span><span class=nv>SERP_API</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a><span class=w>    </span>-e<span class=w> </span><span class=nv>INFERENCE_API</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=w>    </span>-e<span class=w> </span><span class=nv>MODAL_TOKEN_ID</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a><span class=w>    </span>-e<span class=w> </span><span class=nv>MODAL_TOKEN_SECRET</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a><span class=w>    </span>-e<span class=w> </span><span class=nv>NCBI_API_KEY</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a><span class=w>    </span>-e<span class=w> </span><span class=nv>SERPER_API_KEY</span><span class=o>=</span><span class=s2>&quot;YOUR_VALUE_HERE&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a><span class=w>    </span>-e<span class=w> </span><span class=nv>CHROMA_DB_PATH</span><span class=o>=</span><span class=s2>&quot;./chroma_db&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a><span class=w>    </span>-e<span class=w> </span><span class=nv>CHROMA_DB_HOST</span><span class=o>=</span><span class=s2>&quot;localhost&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a><span class=w>    </span>-e<span class=w> </span><span class=nv>CHROMA_DB_PORT</span><span class=o>=</span><span class=s2>&quot;8000&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a><span class=w>    </span>-e<span class=w> </span><span class=nv>RAG_COLLECTION_NAME</span><span class=o>=</span><span class=s2>&quot;deepcritical_evidence&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-13><a id=__codelineno-0-13 name=__codelineno-0-13 href=#__codelineno-0-13></a><span class=w>    </span>-e<span class=w> </span><span class=nv>RAG_SIMILARITY_TOP_K</span><span class=o>=</span><span class=s2>&quot;5&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-14><a id=__codelineno-0-14 name=__codelineno-0-14 href=#__codelineno-0-14></a><span class=w>    </span>-e<span class=w> </span><span class=nv>RAG_AUTO_INGEST</span><span class=o>=</span><span class=s2>&quot;true&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-15><a id=__codelineno-0-15 name=__codelineno-0-15 href=#__codelineno-0-15></a><span class=w>    </span>-e<span class=w> </span><span class=nv>USE_GRAPH_EXECUTION</span><span class=o>=</span><span class=s2>&quot;false&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-16><a id=__codelineno-0-16 name=__codelineno-0-16 href=#__codelineno-0-16></a><span class=w>    </span>-e<span class=w> </span><span class=nv>DEFAULT_TOKEN_LIMIT</span><span class=o>=</span><span class=s2>&quot;100000&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-17><a id=__codelineno-0-17 name=__codelineno-0-17 href=#__codelineno-0-17></a><span class=w>    </span>-e<span class=w> </span><span class=nv>DEFAULT_TIME_LIMIT_MINUTES</span><span class=o>=</span><span class=s2>&quot;10&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-18><a id=__codelineno-0-18 name=__codelineno-0-18 href=#__codelineno-0-18></a><span class=w>    </span>-e<span class=w> </span><span class=nv>DEFAULT_ITERATIONS_LIMIT</span><span class=o>=</span><span class=s2>&quot;10&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-19><a id=__codelineno-0-19 name=__codelineno-0-19 href=#__codelineno-0-19></a><span class=w>    </span>-e<span class=w> </span><span class=nv>WEB_SEARCH_PROVIDER</span><span class=o>=</span><span class=s2>&quot;duckduckgo&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-20><a id=__codelineno-0-20 name=__codelineno-0-20 href=#__codelineno-0-20></a><span class=w>    </span>-e<span class=w> </span><span class=nv>MAX_ITERATIONS</span><span class=o>=</span><span class=s2>&quot;10&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-21><a id=__codelineno-0-21 name=__codelineno-0-21 href=#__codelineno-0-21></a><span class=w>    </span>-e<span class=w> </span><span class=nv>SEARCH_TIMEOUT</span><span class=o>=</span><span class=s2>&quot;30&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-22><a id=__codelineno-0-22 name=__codelineno-0-22 href=#__codelineno-0-22></a><span class=w>    </span>-e<span class=w> </span><span class=nv>LOG_LEVEL</span><span class=o>=</span><span class=s2>&quot;DEBUG&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-23><a id=__codelineno-0-23 name=__codelineno-0-23 href=#__codelineno-0-23></a><span class=w>    </span>-e<span class=w> </span><span class=nv>EMBEDDING_PROVIDER</span><span class=o>=</span><span class=s2>&quot;local&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-24><a id=__codelineno-0-24 name=__codelineno-0-24 href=#__codelineno-0-24></a><span class=w>    </span>-e<span class=w> </span><span class=nv>OPENAI_EMBEDDING_MODEL</span><span class=o>=</span><span class=s2>&quot;text-embedding-3-small&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-25><a id=__codelineno-0-25 name=__codelineno-0-25 href=#__codelineno-0-25></a><span class=w>    </span>-e<span class=w> </span><span class=nv>LOCAL_EMBEDDING_MODEL</span><span class=o>=</span><span class=s2>&quot;BAAI/bge-small-en-v1.5&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-26><a id=__codelineno-0-26 name=__codelineno-0-26 href=#__codelineno-0-26></a><span class=w>    </span>-e<span class=w> </span><span class=nv>HUGGINGFACE_EMBEDDING_MODEL</span><span class=o>=</span><span class=s2>&quot;sentence-transformers/all-MiniLM-L6-v2&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-27><a id=__codelineno-0-27 name=__codelineno-0-27 href=#__codelineno-0-27></a><span class=w>    </span>-e<span class=w> </span><span class=nv>HF_FALLBACK_MODELS</span><span class=o>=</span><span class=s2>&quot;Qwen/Qwen3-Next-80B-A3B-Thinking,Qwen/Qwen3-Next-80B-A3B-Instruct,meta-llama/Llama-3.3-70B-Instruct,meta-llama/Llama-3.1-8B-Instruct,HuggingFaceH4/zephyr-7b-beta,Qwen/Qwen2-7B-Instruct&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-28><a id=__codelineno-0-28 name=__codelineno-0-28 href=#__codelineno-0-28></a><span class=w>    </span>-e<span class=w> </span><span class=nv>HUGGINGFACE_MODEL</span><span class=o>=</span><span class=s2>&quot;Qwen/Qwen3-Next-80B-A3B-Thinking&quot;</span><span class=w> </span><span class=se>\</span>
-</span><span id=__span-0-29><a id=__codelineno-0-29 name=__codelineno-0-29 href=#__codelineno-0-29></a><span class=w>    </span>registry.hf.space/dataquests-deepcritical:latest<span class=w> </span>python<span class=w> </span>src/app.py
-</span><span id=__span-0-30><a id=__codelineno-0-30 name=__codelineno-0-30 href=#__codelineno-0-30></a><span class=w>   </span><span class=sb>```</span>
-</span><span id=__span-0-31><a id=__codelineno-0-31 name=__codelineno-0-31 href=#__codelineno-0-31></a>
-</span><span id=__span-0-32><a id=__codelineno-0-32 name=__codelineno-0-32 href=#__codelineno-0-32></a><span class=c1>## Quick start guide</span>
-</span><span id=__span-0-33><a id=__codelineno-0-33 name=__codelineno-0-33 href=#__codelineno-0-33></a>
-</span><span id=__span-0-34><a id=__codelineno-0-34 name=__codelineno-0-34 href=#__codelineno-0-34></a>Get<span class=w> </span>up<span class=w> </span>and<span class=w> </span>running<span class=w> </span>with<span class=w> </span>The<span class=w> </span>DETERMINATOR<span class=w> </span><span class=k>in</span><span class=w> </span>minutes.
-</span><span id=__span-0-35><a id=__codelineno-0-35 name=__codelineno-0-35 href=#__codelineno-0-35></a>
-</span><span id=__span-0-36><a id=__codelineno-0-36 name=__codelineno-0-36 href=#__codelineno-0-36></a><span class=c1>## Start the Application</span>
-</span><span id=__span-0-37><a id=__codelineno-0-37 name=__codelineno-0-37 href=#__codelineno-0-37></a>
-</span><span id=__span-0-38><a id=__codelineno-0-38 name=__codelineno-0-38 href=#__codelineno-0-38></a><span class=sb>```</span>bash
-</span><span id=__span-0-39><a id=__codelineno-0-39 name=__codelineno-0-39 href=#__codelineno-0-39></a>gradio<span class=w> </span>src/app.py
-</span></code></pre></div> <p>Open your browser to <code>http://localhost:7860</code>.</p> <h2 id=first-research-query>First Research Query<a class=headerlink href=#first-research-query title="Anchor link to this section">&para;</a></h2> <ol> <li><strong>Enter a Research Question</strong></li> </ol> <p>Type your research question in the chat interface, for example: - "What are the latest treatments for Alzheimer's disease?" - "Review the evidence for metformin in cancer prevention" - "What clinical trials are investigating COVID-19 vaccines?"</p> <ol> <li><strong>Submit the Query</strong></li> </ol> <p>Click "Submit" or press Enter. The system will: - Generate observations about your query - Identify knowledge gaps - Search multiple sources (PubMed, ClinicalTrials.gov, Europe PMC) - Evaluate evidence quality - Synthesize findings into a report</p> <ol> <li><strong>Review Results</strong></li> </ol> <p>Watch the real-time progress in the chat interface: - Search operations and results - Evidence evaluation - Report generation - Final research report with citations</p> <h2 id=authentication>Authentication<a class=headerlink href=#authentication title="Anchor link to this section">&para;</a></h2> <h3 id=huggingface-oauth-recommended>HuggingFace OAuth (Recommended)<a class=headerlink href=#huggingface-oauth-recommended title="Anchor link to this section">&para;</a></h3> <ol> <li>Click "Sign in with HuggingFace" at the top of the app</li> <li>Authorize the application</li> <li>Your HuggingFace API token will be automatically used</li> <li>No need to manually enter API keys</li> </ol> <h3 id=manual-api-key>Manual API Key<a class=headerlink href=#manual-api-key title="Anchor link to this section">&para;</a></h3> <ol> <li>Open the Settings accordion</li> <li>Enter your API key:</li> <li>OpenAI API key</li> <li>Anthropic API key</li> <li>HuggingFace API key</li> <li>Click "Save Settings"</li> <li>Manual keys take priority over OAuth tokens</li> </ol> <h2 id=understanding-the-interface>Understanding the Interface<a class=headerlink href=#understanding-the-interface title="Anchor link to this section">&para;</a></h2> <h3 id=chat-interface>Chat Interface<a class=headerlink href=#chat-interface title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Input</strong>: Enter your research questions here</li> <li><strong>Messages</strong>: View conversation history and research progress</li> <li><strong>Streaming</strong>: Real-time updates as research progresses</li> </ul> <h3 id=status-indicators>Status Indicators<a class=headerlink href=#status-indicators title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Searching</strong>: Active search operations</li> <li><strong>Evaluating</strong>: Evidence quality assessment</li> <li><strong>Synthesizing</strong>: Report generation</li> <li><strong>Complete</strong>: Research finished</li> </ul> <h3 id=settings>Settings<a class=headerlink href=#settings title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>API Keys</strong>: Configure LLM providers</li> <li><strong>Research Mode</strong>: Choose iterative or deep research</li> <li><strong>Budget Limits</strong>: Set token, time, and iteration limits</li> </ul> <h2 id=example-queries>Example Queries<a class=headerlink href=#example-queries title="Anchor link to this section">&para;</a></h2> <h3 id=simple-query>Simple Query<a class=headerlink href=#simple-query title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a>What are the side effects of metformin?
-</span></code></pre></div> <h3 id=complex-query>Complex Query<a class=headerlink href=#complex-query title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a>Review the evidence for using metformin as an anti-aging intervention, 
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a>including clinical trials, mechanisms of action, and safety profile.
-</span></code></pre></div> <h3 id=clinical-trial-query>Clinical Trial Query<a class=headerlink href=#clinical-trial-query title="Anchor link to this section">&para;</a></h3> <div class="language-text highlight"><pre><span></span><code><span id=__span-3-1><a id=__codelineno-3-1 name=__codelineno-3-1 href=#__codelineno-3-1></a>What are the active clinical trials investigating Alzheimer&#39;s disease treatments?
-</span></code></pre></div> <h2 id=next-steps>Next Steps<a class=headerlink href=#next-steps title="Anchor link to this section">&para;</a></h2> <ul> <li>Learn about <a href=../mcp-integration/ >MCP Integration</a> to use The DETERMINATOR from Claude Desktop</li> <li>Explore <a href=../examples/ >Examples</a> for more use cases</li> <li>Read the <a href=../../configuration/ >Configuration Guide</a> for advanced settings</li> <li>Check out the <a href=../../architecture/graph_orchestration/ >Architecture Documentation</a> to understand how it works</li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:39 UTC"><span class=timeago datetime=2025-12-02T02:47:39+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:39 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 21:40:26 UTC"><span class=timeago datetime=2025-11-29T21:40:26+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 21:40:26 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1m-11.4-14.7c-1.6 1-1.6 3.6 0 5.9s4.3 3.3 5.6 2.3c1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2"/></svg> </div> <div class=md-source__repository> DeepCritical/GradioDemo </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Home </span> <span class="md-nav__icon md-icon"></span> </label> <a href=. class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Home </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#features class=md-nav__link> <span class=md-ellipsis> Features </span> 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</label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=api/agents/ class=md-nav__link> <span class=md-ellipsis> Agents API Reference </span> </a> </li> <li class=md-nav__item> <a href=api/tools/ class=md-nav__link> <span class=md-ellipsis> Tools API Reference </span> </a> </li> <li class=md-nav__item> <a href=api/orchestrators/ class=md-nav__link> <span class=md-ellipsis> Orchestrators API Reference </span> </a> </li> <li class=md-nav__item> <a href=api/services/ class=md-nav__link> <span class=md-ellipsis> Services API Reference </span> </a> </li> <li class=md-nav__item> <a href=api/models/ class=md-nav__link> <span class=md-ellipsis> Models API Reference </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=the-determinator>The DETERMINATOR<a class=headerlink href=#the-determinator title="Anchor link to this section">&para;</a></h1> <p><strong>Generalist Deep Research Agent - Stops at Nothing Until Finding Precise Answers</strong></p> <p>The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations).</p> <p><strong>Key Features</strong>: - <strong>Generalist</strong>: Handles queries from any domain (medical, technical, business, scientific, etc.) - <strong>Automatic Source Selection</strong>: Automatically determines if medical knowledge sources (PubMed, ClinicalTrials.gov) are needed - <strong>Multi-Source Search</strong>: Web search, PubMed, ClinicalTrials.gov, Europe PMC, RAG - <strong>Iterative Refinement</strong>: Continues searching and refining until precise answers are found - <strong>Evidence Synthesis</strong>: Comprehensive reports with proper citations</p> <p><strong>Important</strong>: The DETERMINATOR is a research tool that synthesizes evidence. It cannot provide medical advice or answer medical questions directly.</p> <h2 id=features>Features<a class=headerlink href=#features title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>Generalist Research</strong>: Handles any research question from any domain</li> <li><strong>Automatic Medical Detection</strong>: Automatically determines if medical knowledge sources are needed</li> <li><strong>Multi-Source Search</strong>: Web search, PubMed, ClinicalTrials.gov, Europe PMC (includes bioRxiv/medRxiv), RAG</li> <li><strong>Iterative Until Precise</strong>: Stops at nothing until finding precise answers (only stops at configured limits)</li> <li><strong>MCP Integration</strong>: Use our tools from Claude Desktop or any MCP client</li> <li><strong>HuggingFace OAuth</strong>: Sign in with your HuggingFace account to automatically use your API token</li> <li><strong>Modal Sandbox</strong>: Secure execution of AI-generated statistical code</li> <li><strong>LlamaIndex RAG</strong>: Semantic search and evidence synthesis</li> <li><strong>HuggingFace Inference</strong>: Free tier support with automatic fallback</li> <li><strong>Strongly Typed Composable Graphs</strong>: Graph-based orchestration with Pydantic AI</li> <li><strong>Specialized Research Teams of Agents</strong>: Multi-agent coordination for complex research tasks</li> </ul> <h2 id=quick-start>Quick Start<a class=headerlink href=#quick-start title="Anchor link to this section">&para;</a></h2> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Install uv if you haven&#39;t already (recommended: standalone installer)</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a><span class=c1># Unix/macOS/Linux:</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>curl<span class=w> </span>-LsSf<span class=w> </span>https://astral.sh/uv/install.sh<span class=w> </span><span class=p>|</span><span class=w> </span>sh
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=c1># Windows (PowerShell):</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>powershell<span class=w> </span>-ExecutionPolicy<span class=w> </span>ByPass<span class=w> </span>-c<span class=w> </span><span class=s2>&quot;irm https://astral.sh/uv/install.ps1 | iex&quot;</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a><span class=c1># Alternative: pipx install uv</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a><span class=c1># Or: pip install uv</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a><span class=c1># Sync dependencies</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>uv<span class=w> </span>sync
-</span><span id=__span-0-13><a id=__codelineno-0-13 name=__codelineno-0-13 href=#__codelineno-0-13></a>
-</span><span id=__span-0-14><a id=__codelineno-0-14 name=__codelineno-0-14 href=#__codelineno-0-14></a><span class=c1># Start the Gradio app</span>
-</span><span id=__span-0-15><a id=__codelineno-0-15 name=__codelineno-0-15 href=#__codelineno-0-15></a>uv<span class=w> </span>run<span class=w> </span>gradio<span class=w> </span>run<span class=w> </span>src/app.py
-</span></code></pre></div> <p>Open your browser to <code>http://localhost:7860</code>.</p> <p>For detailed installation and setup instructions, see the <a href=getting-started/installation/ >Getting Started Guide</a>.</p> <h2 id=architecture>Architecture<a class=headerlink href=#architecture title="Anchor link to this section">&para;</a></h2> <p>The DETERMINATOR uses a Vertical Slice Architecture:</p> <ol> <li><strong>Search Slice</strong>: Retrieving evidence from multiple sources (web, PubMed, ClinicalTrials.gov, Europe PMC, RAG) based on query analysis</li> <li><strong>Judge Slice</strong>: Evaluating evidence quality using LLMs</li> <li><strong>Orchestrator Slice</strong>: Managing the research loop and UI</li> </ol> <p>The system supports three main research patterns:</p> <ul> <li><strong>Iterative Research</strong>: Single research loop with search-judge-synthesize cycles</li> <li><strong>Deep Research</strong>: Multi-section parallel research with planning and synthesis</li> <li><strong>Research Team</strong>: Multi-agent coordination using Magentic framework</li> </ul> <p>Learn more about the <a href=overview/architecture/ >Architecture</a>.</p> <h2 id=documentation>Documentation<a class=headerlink href=#documentation title="Anchor link to this section">&para;</a></h2> <ul> <li><a href=overview/architecture/ >Overview</a> - 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class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=architecture-overview>Architecture Overview<a class=headerlink href=#architecture-overview title="Anchor link to this section">&para;</a></h1> <p>The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations). The system automatically determines if medical knowledge sources are needed and adapts its search strategy accordingly. It supports multiple orchestration patterns, graph-based execution, parallel research workflows, and long-running task management with real-time streaming.</p> <h2 id=core-architecture>Core Architecture<a class=headerlink href=#core-architecture title="Anchor link to this section">&para;</a></h2> <h3 id=orchestration-patterns>Orchestration Patterns<a class=headerlink href=#orchestration-patterns title="Anchor link to this section">&para;</a></h3> <ol> <li><strong>Graph Orchestrator</strong> (<code>src/orchestrator/graph_orchestrator.py</code>):</li> <li>Graph-based execution using Pydantic AI agents as nodes</li> <li>Supports both iterative and deep research patterns</li> <li>Node types: Agent, State, Decision, Parallel</li> <li>Edge types: Sequential, Conditional, Parallel</li> <li>Conditional routing based on knowledge gaps, budget, and iterations</li> <li>Parallel execution for concurrent research loops</li> <li>Event streaming via <code>AsyncGenerator[AgentEvent]</code> for real-time UI updates</li> <li> <p>Fallback to agent chains when graph execution is disabled</p> </li> <li> <p><strong>Deep Research Flow</strong> (<code>src/orchestrator/research_flow.py</code>):</p> </li> <li><strong>Pattern</strong>: Planner → Parallel Iterative Loops (one per section) → Synthesis</li> <li>Uses <code>PlannerAgent</code> to break query into report sections</li> <li>Runs <code>IterativeResearchFlow</code> instances in parallel per section via <code>WorkflowManager</code></li> <li>Synthesizes results using <code>LongWriterAgent</code> or <code>ProofreaderAgent</code></li> <li>Supports both graph execution (<code>use_graph=True</code>) and agent chains (<code>use_graph=False</code>)</li> <li>Budget tracking per section and globally</li> <li> <p>State synchronization across parallel loops</p> </li> <li> <p><strong>Iterative Research Flow</strong> (<code>src/orchestrator/research_flow.py</code>):</p> </li> <li><strong>Pattern</strong>: Generate observations → Evaluate gaps → Select tools → Execute → Judge → Continue/Complete</li> <li>Uses <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>ThinkingAgent</code>, <code>WriterAgent</code></li> <li><code>JudgeHandler</code> assesses evidence sufficiency</li> <li>Iterates until research complete or constraints met (iterations, time, tokens)</li> <li> <p>Supports graph execution and agent chains</p> </li> <li> <p><strong>Magentic Orchestrator</strong> (<code>src/orchestrator_magentic.py</code>):</p> </li> <li>Multi-agent coordination using <code>agent-framework-core</code></li> <li>ChatAgent pattern with internal LLMs per agent</li> <li>Uses <code>MagenticBuilder</code> with participants: searcher, hypothesizer, judge, reporter</li> <li>Manager orchestrates agents via <code>OpenAIChatClient</code></li> <li>Requires OpenAI API key (function calling support)</li> <li>Event-driven: converts Magentic events to <code>AgentEvent</code> for UI streaming</li> <li> <p>Supports long-running workflows with max rounds and stall/reset handling</p> </li> <li> <p><strong>Hierarchical Orchestrator</strong> (<code>src/orchestrator_hierarchical.py</code>):</p> </li> <li>Uses <code>SubIterationMiddleware</code> with <code>ResearchTeam</code> and <code>LLMSubIterationJudge</code></li> <li>Adapts Magentic ChatAgent to <code>SubIterationTeam</code> protocol</li> <li>Event-driven via <code>asyncio.Queue</code> for coordination</li> <li> <p>Supports sub-iteration patterns for complex research tasks</p> </li> <li> <p><strong>Legacy Simple Mode</strong> (<code>src/legacy_orchestrator.py</code>):</p> </li> <li>Linear search-judge-synthesize loop</li> <li>Uses <code>SearchHandlerProtocol</code> and <code>JudgeHandlerProtocol</code></li> <li>Generator-based design yielding <code>AgentEvent</code> objects</li> <li>Backward compatibility for simple use cases</li> </ol> <h2 id=long-running-task-support>Long-Running Task Support<a class=headerlink href=#long-running-task-support title="Anchor link to this section">&para;</a></h2> <p>The system is designed for long-running research tasks with comprehensive state management and streaming:</p> <ol> <li><strong>Event Streaming</strong>:</li> <li>All orchestrators yield <code>AgentEvent</code> objects via <code>AsyncGenerator</code></li> <li>Real-time UI updates through Gradio chat interface</li> <li>Event types: <code>started</code>, <code>searching</code>, <code>search_complete</code>, <code>judging</code>, <code>judge_complete</code>, <code>looping</code>, <code>synthesizing</code>, <code>hypothesizing</code>, <code>complete</code>, <code>error</code></li> <li> <p>Metadata includes iteration numbers, tool names, result counts, durations</p> </li> <li> <p><strong>Budget Tracking</strong> (<code>src/middleware/budget_tracker.py</code>):</p> </li> <li>Per-loop and global budget management</li> <li>Tracks: tokens, time (seconds), iterations</li> <li>Budget enforcement at decision nodes</li> <li>Token estimation (~4 chars per token)</li> <li>Early termination when budgets exceeded</li> <li> <p>Budget summaries for monitoring</p> </li> <li> <p><strong>Workflow Manager</strong> (<code>src/middleware/workflow_manager.py</code>):</p> </li> <li>Coordinates parallel research loops</li> <li>Tracks loop status: <code>pending</code>, <code>running</code>, <code>completed</code>, <code>failed</code>, <code>cancelled</code></li> <li>Synchronizes evidence between loops and global state</li> <li>Handles errors per loop (doesn't fail all if one fails)</li> <li>Supports loop cancellation and timeout handling</li> <li> <p>Evidence deduplication across parallel loops</p> </li> <li> <p><strong>State Management</strong> (<code>src/middleware/state_machine.py</code>):</p> </li> <li>Thread-safe isolation using <code>ContextVar</code> for concurrent requests</li> <li><code>WorkflowState</code> tracks: evidence, conversation history, embedding service</li> <li>Evidence deduplication by URL</li> <li>Semantic search via embedding service</li> <li>State persistence across long-running workflows</li> <li> <p>Supports both iterative and deep research patterns</p> </li> <li> <p><strong>Gradio UI</strong> (<code>src/app.py</code>):</p> </li> <li>Real-time streaming of research progress</li> <li>Accordion-based UI for pending/done operations</li> <li>OAuth integration (HuggingFace)</li> <li>Multiple backend support (API keys, free tier)</li> <li>Handles long-running tasks with progress indicators</li> <li>Event accumulation for pending operations</li> </ol> <h2 id=graph-architecture>Graph Architecture<a class=headerlink href=#graph-architecture title="Anchor link to this section">&para;</a></h2> <p>The graph orchestrator (<code>src/orchestrator/graph_orchestrator.py</code>) implements a flexible graph-based execution model:</p> <p><strong>Node Types</strong>:</p> <ul> <li><strong>Agent Nodes</strong>: Execute Pydantic AI agents (e.g., <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>)</li> <li><strong>State Nodes</strong>: Update or read workflow state (evidence, conversation)</li> <li><strong>Decision Nodes</strong>: Make routing decisions (research complete?, budget exceeded?)</li> <li><strong>Parallel Nodes</strong>: Execute multiple nodes concurrently (parallel research loops)</li> </ul> <p><strong>Edge Types</strong>:</p> <ul> <li><strong>Sequential Edges</strong>: Always traversed (no condition)</li> <li><strong>Conditional Edges</strong>: Traversed based on condition (e.g., if research complete → writer, else → tool selector)</li> <li><strong>Parallel Edges</strong>: Used for parallel execution branches</li> </ul> <p><strong>Graph Patterns</strong>:</p> <ul> <li><strong>Iterative Graph</strong>: <code>[Input] → [Thinking] → [Knowledge Gap] → [Decision: Complete?] → [Tool Selector] or [Writer]</code></li> <li><strong>Deep Research Graph</strong>: <code>[Input] → [Planner] → [Parallel Iterative Loops] → [Synthesizer]</code></li> </ul> <p><strong>Execution Flow</strong>:</p> <ol> <li>Graph construction from nodes and edges</li> <li>Graph validation (no cycles, all nodes reachable)</li> <li>Graph execution from entry node</li> <li>Node execution based on type</li> <li>Edge evaluation for next node(s)</li> <li>Parallel execution via <code>asyncio.gather()</code></li> <li>State updates at state nodes</li> <li>Event streaming for UI</li> </ol> <h2 id=key-components>Key Components<a class=headerlink href=#key-components title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>Orchestrators</strong>: Multiple orchestration patterns (<code>src/orchestrator/</code>, <code>src/orchestrator_*.py</code>)</li> <li><strong>Research Flows</strong>: Iterative and deep research patterns (<code>src/orchestrator/research_flow.py</code>)</li> <li><strong>Graph Builder</strong>: Graph construction utilities (<code>src/agent_factory/graph_builder.py</code>)</li> <li><strong>Agents</strong>: Pydantic AI agents (<code>src/agents/</code>, <code>src/agent_factory/agents.py</code>)</li> <li><strong>Search Tools</strong>: Neo4j knowledge graph, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG (<code>src/tools/</code>)</li> <li><strong>Judge Handler</strong>: LLM-based evidence assessment (<code>src/agent_factory/judges.py</code>)</li> <li><strong>Embeddings</strong>: Semantic search &amp; deduplication (<code>src/services/embeddings.py</code>)</li> <li><strong>Statistical Analyzer</strong>: Modal sandbox execution (<code>src/services/statistical_analyzer.py</code>)</li> <li><strong>Multimodal Processing</strong>: Image OCR and audio STT/TTS services (<code>src/services/multimodal_processing.py</code>, <code>src/services/audio_processing.py</code>)</li> <li><strong>Middleware</strong>: State management, budget tracking, workflow coordination (<code>src/middleware/</code>)</li> <li><strong>MCP Tools</strong>: Claude Desktop integration (<code>src/mcp_tools.py</code>)</li> <li><strong>Gradio UI</strong>: Web interface with MCP server and streaming (<code>src/app.py</code>)</li> </ul> <h2 id=research-team--parallel-execution>Research Team &amp; Parallel Execution<a class=headerlink href=#research-team--parallel-execution title="Anchor link to this section">&para;</a></h2> <p>The system supports complex research workflows through:</p> <ol> <li><strong>WorkflowManager</strong>: Coordinates multiple parallel research loops</li> <li>Creates and tracks <code>ResearchLoop</code> instances</li> <li>Runs loops in parallel via <code>asyncio.gather()</code></li> <li>Synchronizes evidence to global state</li> <li> <p>Handles loop failures gracefully</p> </li> <li> <p><strong>Deep Research Pattern</strong>: Breaks complex queries into sections</p> </li> <li>Planner creates report outline with sections</li> <li>Each section runs as independent iterative research loop</li> <li>Loops execute in parallel</li> <li>Evidence shared across loops via global state</li> <li> <p>Final synthesis combines all section results</p> </li> <li> <p><strong>State Synchronization</strong>: Thread-safe evidence sharing</p> </li> <li>Evidence deduplication by URL</li> <li>Global state accessible to all loops</li> <li>Semantic search across all collected evidence</li> <li>Conversation history tracking per iteration</li> </ol> <h2 id=configuration--modes>Configuration &amp; Modes<a class=headerlink href=#configuration--modes title="Anchor link to this section">&para;</a></h2> <ul> <li><strong>Orchestrator Factory</strong> (<code>src/orchestrator_factory.py</code>):</li> <li>Auto-detects mode: "advanced" if OpenAI key available, else "simple"</li> <li>Supports explicit mode selection: "simple", "magentic" (alias for "advanced"), "advanced", "iterative", "deep", "auto"</li> <li> <p>Lazy imports for optional dependencies</p> </li> <li> <p><strong>Orchestrator Modes</strong> (selected in UI or via factory):</p> </li> <li><code>simple</code>: Legacy linear search-judge loop (Free Tier)</li> <li><code>advanced</code> or <code>magentic</code>: Multi-agent coordination using Microsoft Agent Framework (requires OpenAI API key)</li> <li><code>iterative</code>: Knowledge-gap-driven research with single loop (Free Tier)</li> <li><code>deep</code>: Parallel section-based research with planning (Free Tier)</li> <li> <p><code>auto</code>: Intelligent mode detection based on query complexity (Free Tier)</p> </li> <li> <p><strong>Graph Research Modes</strong> (used within graph orchestrator, separate from orchestrator mode):</p> </li> <li><code>iterative</code>: Single research loop pattern</li> <li><code>deep</code>: Multi-section parallel research pattern</li> <li> <p><code>auto</code>: Auto-detect pattern based on query complexity</p> </li> <li> <p><strong>Execution Modes</strong>:</p> </li> <li><code>use_graph=True</code>: Graph-based execution (parallel, conditional routing)</li> <li><code>use_graph=False</code>: Agent chains (sequential, backward compatible)</li> </ul> <p><strong>Note</strong>: The UI provides separate controls for orchestrator mode and graph research mode. 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class=md-ellipsis> Search Tools </span> </a> </li> <li class=md-nav__item> <a href=#error-handling class=md-nav__link> <span class=md-ellipsis> Error Handling </span> </a> </li> <li class=md-nav__item> <a href=#configuration class=md-nav__link> <span class=md-ellipsis> Configuration </span> </a> </li> <li class=md-nav__item> <a href=#testing class=md-nav__link> <span class=md-ellipsis> Testing </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#ui-features class=md-nav__link> <span class=md-ellipsis> UI Features </span> </a> <nav class=md-nav aria-label="UI Features"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#gradio-interface class=md-nav__link> <span class=md-ellipsis> Gradio Interface </span> </a> </li> <li class=md-nav__item> <a href=#mcp-server class=md-nav__link> <span class=md-ellipsis> MCP Server </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#development-features class=md-nav__link> <span class=md-ellipsis> Development 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md-toggle md-toggle--indeterminate" type=checkbox id=__nav_7> <div class="md-nav__link md-nav__container"> <a href=../../contributing/ class="md-nav__link "> <span class=md-ellipsis> Contributing </span> </a> <label class="md-nav__link " for=__nav_7 id=__nav_7_label tabindex=0> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_7_label aria-expanded=false> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Contributing </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../contributing/code-quality/ class=md-nav__link> <span class=md-ellipsis> Code Quality &amp; Documentation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/code-style/ class=md-nav__link> <span class=md-ellipsis> Code Style &amp; Conventions </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/error-handling/ class=md-nav__link> <span class=md-ellipsis> Error Handling &amp; Logging </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=features>Features<a class=headerlink href=#features title="Anchor link to this section">&para;</a></h1> <p>The DETERMINATOR provides a comprehensive set of features for AI-assisted research:</p> <h2 id=core-features>Core Features<a class=headerlink href=#core-features title="Anchor link to this section">&para;</a></h2> <h3 id=multi-source-search>Multi-Source Search<a class=headerlink href=#multi-source-search title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>General Web Search</strong>: Search general knowledge sources for any domain</li> <li><strong>Neo4j Knowledge Graph</strong>: Search structured knowledge graph for papers and disease relationships</li> <li><strong>PubMed</strong>: Search peer-reviewed biomedical literature via NCBI E-utilities (automatically used when medical knowledge needed)</li> <li><strong>ClinicalTrials.gov</strong>: Search interventional clinical trials (automatically used when medical knowledge needed)</li> <li><strong>Europe PMC</strong>: Search preprints and peer-reviewed articles (includes bioRxiv/medRxiv)</li> <li><strong>RAG</strong>: Semantic search within collected evidence using LlamaIndex</li> <li><strong>Automatic Source Selection</strong>: Automatically determines which sources are needed based on query analysis</li> </ul> <h3 id=mcp-integration>MCP Integration<a class=headerlink href=#mcp-integration title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Model Context Protocol</strong>: Expose search tools via MCP server</li> <li><strong>Claude Desktop</strong>: Use The DETERMINATOR tools directly from Claude Desktop</li> <li><strong>MCP Clients</strong>: Compatible with any MCP-compatible client</li> </ul> <h3 id=authentication>Authentication<a class=headerlink href=#authentication title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>REQUIRED</strong>: Authentication is mandatory before using the application</li> <li><strong>HuggingFace OAuth</strong>: Sign in with HuggingFace account for automatic API token usage (recommended)</li> <li><strong>Manual API Keys</strong>: Support for HuggingFace API keys via environment variables (<code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code>)</li> <li><strong>Free Tier Support</strong>: Automatic fallback to HuggingFace Inference API (public models) when no API key is available</li> <li><strong>Authentication Check</strong>: The application will display an error message if authentication is not provided</li> </ul> <h3 id=secure-code-execution>Secure Code Execution<a class=headerlink href=#secure-code-execution title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Modal Sandbox</strong>: Secure execution of AI-generated statistical code</li> <li><strong>Isolated Environment</strong>: Network isolation and package version pinning</li> <li><strong>Safe Execution</strong>: Prevents malicious code execution</li> </ul> <h3 id=semantic-search--rag>Semantic Search &amp; RAG<a class=headerlink href=#semantic-search--rag title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>LlamaIndex Integration</strong>: Advanced RAG capabilities</li> <li><strong>Vector Storage</strong>: ChromaDB for embedding storage</li> <li><strong>Semantic Deduplication</strong>: Automatic detection of similar evidence</li> <li><strong>Embedding Service</strong>: Local sentence-transformers (no API key required)</li> </ul> <h3 id=orchestration-patterns>Orchestration Patterns<a class=headerlink href=#orchestration-patterns title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Graph-Based Execution</strong>: Flexible graph orchestration with conditional routing</li> <li><strong>Parallel Research Loops</strong>: Run multiple research tasks concurrently</li> <li><strong>Iterative Research</strong>: Single-loop research with search-judge-synthesize cycles that continues until precise answers are found</li> <li><strong>Deep Research</strong>: Multi-section parallel research with planning and synthesis</li> <li><strong>Magentic Orchestration</strong>: Multi-agent coordination using Microsoft Agent Framework (alias: "advanced" mode)</li> <li><strong>Stops at Nothing</strong>: Only stops at configured limits (budget, time, iterations), otherwise continues until finding precise answers</li> </ul> <p><strong>Orchestrator Modes</strong>: - <code>simple</code>: Legacy linear search-judge loop - <code>advanced</code> (or <code>magentic</code>): Multi-agent coordination (requires OpenAI API key) - <code>iterative</code>: Knowledge-gap-driven research with single loop - <code>deep</code>: Parallel section-based research with planning - <code>auto</code>: Intelligent mode detection based on query complexity</p> <p><strong>Graph Research Modes</strong> (used within graph orchestrator): - <code>iterative</code>: Single research loop pattern - <code>deep</code>: Multi-section parallel research pattern - <code>auto</code>: Auto-detect pattern based on query complexity</p> <p><strong>Execution Modes</strong>: - <code>use_graph=True</code>: Graph-based execution with parallel and conditional routing - <code>use_graph=False</code>: Agent chains with sequential execution (backward compatible)</p> <h3 id=real-time-streaming>Real-Time Streaming<a class=headerlink href=#real-time-streaming title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Event Streaming</strong>: Real-time updates via <code>AsyncGenerator[AgentEvent]</code></li> <li><strong>Progress Tracking</strong>: Monitor research progress with detailed event metadata</li> <li><strong>UI Integration</strong>: Seamless integration with Gradio chat interface</li> </ul> <h3 id=budget-management>Budget Management<a class=headerlink href=#budget-management title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Token Budget</strong>: Track and limit LLM token usage</li> <li><strong>Time Budget</strong>: Enforce time limits per research loop</li> <li><strong>Iteration Budget</strong>: Limit maximum iterations</li> <li><strong>Per-Loop Budgets</strong>: Independent budgets for parallel research loops</li> </ul> <h3 id=state-management>State Management<a class=headerlink href=#state-management title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Thread-Safe Isolation</strong>: ContextVar-based state management</li> <li><strong>Evidence Deduplication</strong>: Automatic URL-based deduplication</li> <li><strong>Conversation History</strong>: Track iteration history and agent interactions</li> <li><strong>State Synchronization</strong>: Share evidence across parallel loops</li> </ul> <h3 id=multimodal-input--output>Multimodal Input &amp; Output<a class=headerlink href=#multimodal-input--output title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Image Input (OCR)</strong>: Upload images and extract text using optical character recognition</li> <li><strong>Audio Input (STT)</strong>: Record or upload audio files and transcribe to text using speech-to-text</li> <li><strong>Audio Output (TTS)</strong>: Generate audio responses with text-to-speech synthesis</li> <li><strong>Configurable Settings</strong>: Enable/disable multimodal features via sidebar settings</li> <li><strong>Voice Selection</strong>: Choose from multiple TTS voices (American English: af_<em>, am_</em>)</li> <li><strong>Speech Speed Control</strong>: Adjust TTS speech speed (0.5x to 2.0x)</li> <li><strong>Multimodal Processing Service</strong>: Integrated service for processing images and audio files</li> </ul> <h2 id=advanced-features>Advanced Features<a class=headerlink href=#advanced-features title="Anchor link to this section">&para;</a></h2> <h3 id=agent-system>Agent System<a class=headerlink href=#agent-system title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Pydantic AI Agents</strong>: Type-safe agent implementation</li> <li><strong>Structured Output</strong>: Pydantic models for agent responses</li> <li><strong>Agent Factory</strong>: Centralized agent creation with fallback support</li> <li><strong>Specialized Agents</strong>: Knowledge gap, tool selector, writer, proofreader, and more</li> </ul> <h3 id=search-tools>Search Tools<a class=headerlink href=#search-tools title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Rate Limiting</strong>: Built-in rate limiting for external APIs</li> <li><strong>Retry Logic</strong>: Automatic retry with exponential backoff</li> <li><strong>Query Preprocessing</strong>: Automatic query enhancement and synonym expansion</li> <li><strong>Evidence Conversion</strong>: Automatic conversion to structured Evidence objects</li> </ul> <h3 id=error-handling>Error Handling<a class=headerlink href=#error-handling title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Custom Exceptions</strong>: Hierarchical exception system</li> <li><strong>Error Chaining</strong>: Preserve exception context</li> <li><strong>Structured Logging</strong>: Comprehensive logging with structlog</li> <li><strong>Graceful Degradation</strong>: Fallback handlers for missing dependencies</li> </ul> <h3 id=configuration>Configuration<a class=headerlink href=#configuration title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Pydantic Settings</strong>: Type-safe configuration management</li> <li><strong>Environment Variables</strong>: Support for <code>.env</code> files</li> <li><strong>Validation</strong>: Automatic configuration validation</li> <li><strong>Flexible Providers</strong>: Support for multiple LLM and embedding providers</li> </ul> <h3 id=testing>Testing<a class=headerlink href=#testing title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Unit Tests</strong>: Comprehensive unit test coverage</li> <li><strong>Integration Tests</strong>: Real API integration tests</li> <li><strong>Mock Support</strong>: Extensive mocking utilities</li> <li><strong>Coverage Reports</strong>: Code coverage tracking</li> </ul> <h2 id=ui-features>UI Features<a class=headerlink href=#ui-features title="Anchor link to this section">&para;</a></h2> <h3 id=gradio-interface>Gradio Interface<a class=headerlink href=#gradio-interface title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Real-Time Chat</strong>: Interactive chat interface with multimodal support</li> <li><strong>Streaming Updates</strong>: Live progress updates</li> <li><strong>Accordion UI</strong>: Organized display of pending/done operations</li> <li><strong>OAuth Integration</strong>: Seamless HuggingFace authentication</li> <li><strong>Multimodal Input</strong>: Support for text, images, and audio input in the same interface</li> <li><strong>Sidebar Settings</strong>: Configuration accordions for research, multimodal, and audio settings</li> </ul> <h3 id=mcp-server>MCP Server<a class=headerlink href=#mcp-server title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>RESTful API</strong>: HTTP-based MCP server</li> <li><strong>Tool Discovery</strong>: Automatic tool registration</li> <li><strong>Request Handling</strong>: Async request processing</li> <li><strong>Error Responses</strong>: Structured error responses</li> </ul> <h2 id=development-features>Development Features<a class=headerlink href=#development-features title="Anchor link to this section">&para;</a></h2> <h3 id=code-quality>Code Quality<a class=headerlink href=#code-quality title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Type Safety</strong>: Full type hints with mypy strict mode</li> <li><strong>Linting</strong>: Ruff for code quality</li> <li><strong>Formatting</strong>: Automatic code formatting</li> <li><strong>Pre-commit Hooks</strong>: Automated quality checks</li> </ul> <h3 id=documentation>Documentation<a class=headerlink href=#documentation title="Anchor link to this section">&para;</a></h3> <ul> <li><strong>Comprehensive Docs</strong>: Detailed documentation for all components</li> <li><strong>Code Examples</strong>: 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href=../../contributing/implementation-patterns/ class=md-nav__link> <span class=md-ellipsis> Implementation Patterns </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/prompt-engineering/ class=md-nav__link> <span class=md-ellipsis> Prompt Engineering &amp; Citation Validation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/testing/ class=md-nav__link> <span class=md-ellipsis> Testing Requirements </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../../LICENSE/ class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> <li class=md-nav__item> <a href=../../team/ class=md-nav__link> <span class=md-ellipsis> Team </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=quick-start>Quick Start<a class=headerlink href=#quick-start title="Anchor link to this section">&para;</a></h1> <p>Get started with DeepCritical in minutes.</p> <h2 id=installation>Installation<a class=headerlink href=#installation title="Anchor link to this section">&para;</a></h2> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=c1># Install uv if you haven&#39;t already (recommended: standalone installer)</span>
-</span><span id=__span-0-2><a id=__codelineno-0-2 name=__codelineno-0-2 href=#__codelineno-0-2></a><span class=c1># Unix/macOS/Linux:</span>
-</span><span id=__span-0-3><a id=__codelineno-0-3 name=__codelineno-0-3 href=#__codelineno-0-3></a>curl<span class=w> </span>-LsSf<span class=w> </span>https://astral.sh/uv/install.sh<span class=w> </span><span class=p>|</span><span class=w> </span>sh
-</span><span id=__span-0-4><a id=__codelineno-0-4 name=__codelineno-0-4 href=#__codelineno-0-4></a>
-</span><span id=__span-0-5><a id=__codelineno-0-5 name=__codelineno-0-5 href=#__codelineno-0-5></a><span class=c1># Windows (PowerShell):</span>
-</span><span id=__span-0-6><a id=__codelineno-0-6 name=__codelineno-0-6 href=#__codelineno-0-6></a>powershell<span class=w> </span>-ExecutionPolicy<span class=w> </span>ByPass<span class=w> </span>-c<span class=w> </span><span class=s2>&quot;irm https://astral.sh/uv/install.ps1 | iex&quot;</span>
-</span><span id=__span-0-7><a id=__codelineno-0-7 name=__codelineno-0-7 href=#__codelineno-0-7></a>
-</span><span id=__span-0-8><a id=__codelineno-0-8 name=__codelineno-0-8 href=#__codelineno-0-8></a><span class=c1># Alternative: pipx install uv</span>
-</span><span id=__span-0-9><a id=__codelineno-0-9 name=__codelineno-0-9 href=#__codelineno-0-9></a><span class=c1># Or: pip install uv</span>
-</span><span id=__span-0-10><a id=__codelineno-0-10 name=__codelineno-0-10 href=#__codelineno-0-10></a>
-</span><span id=__span-0-11><a id=__codelineno-0-11 name=__codelineno-0-11 href=#__codelineno-0-11></a><span class=c1># Sync dependencies</span>
-</span><span id=__span-0-12><a id=__codelineno-0-12 name=__codelineno-0-12 href=#__codelineno-0-12></a>uv<span class=w> </span>sync
-</span></code></pre></div> <h2 id=run-the-ui>Run the UI<a class=headerlink href=#run-the-ui title="Anchor link to this section">&para;</a></h2> <div class="language-bash highlight"><pre><span></span><code><span id=__span-1-1><a id=__codelineno-1-1 name=__codelineno-1-1 href=#__codelineno-1-1></a><span class=c1># Start the Gradio app</span>
-</span><span id=__span-1-2><a id=__codelineno-1-2 name=__codelineno-1-2 href=#__codelineno-1-2></a>uv<span class=w> </span>run<span class=w> </span>gradio<span class=w> </span>run<span class=w> </span>src/app.py
-</span></code></pre></div> <p>Open your browser to <code>http://localhost:7860</code>.</p> <h2 id=basic-usage>Basic Usage<a class=headerlink href=#basic-usage title="Anchor link to this section">&para;</a></h2> <h3 id=1-authentication-required>1. Authentication (REQUIRED)<a class=headerlink href=#1-authentication-required title="Anchor link to this section">&para;</a></h3> <p><strong>Authentication is mandatory</strong> - you must authenticate before using the application. The app will display an error message if you try to use it without authentication.</p> <p><strong>HuggingFace OAuth Login</strong> (Recommended): - Click the "Sign in with HuggingFace" button at the top of the app - Your HuggingFace API token will be automatically used for AI inference - No need to manually enter API keys when logged in</p> <p><strong>Manual API Key</strong> (Alternative): - Set environment variable <code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> before starting the app - The app will automatically use these tokens if OAuth login is not available - Supports HuggingFace API keys only (OpenAI/Anthropic keys are not used in the current implementation)</p> <h3 id=2-start-a-research-query>2. Start a Research Query<a class=headerlink href=#2-start-a-research-query title="Anchor link to this section">&para;</a></h3> <ol> <li>Enter your research question in the chat interface</li> <li><strong>Text Input</strong>: Type your question directly</li> <li><strong>Image Input</strong>: Click the 📷 icon to upload images (OCR will extract text)</li> <li><strong>Audio Input</strong>: Click the 🎤 icon to record or upload audio (STT will transcribe to text)</li> <li>Click "Submit" or press Enter</li> <li>Watch the real-time progress as the system:</li> <li>Generates observations</li> <li>Identifies knowledge gaps</li> <li>Searches multiple sources</li> <li>Evaluates evidence</li> <li>Synthesizes findings</li> <li>Review the final research report</li> <li><strong>Audio Output</strong>: If enabled, the final response will include audio synthesis (TTS)</li> </ol> <p><strong>Multimodal Features</strong>: - Configure image/audio input and output in the sidebar settings - Image OCR and audio STT/TTS can be enabled/disabled independently - TTS voice and speed can be customized in the Audio Output settings</p> <h3 id=3-mcp-integration-optional>3. MCP Integration (Optional)<a class=headerlink href=#3-mcp-integration-optional title="Anchor link to this section">&para;</a></h3> <p>Connect DeepCritical to Claude Desktop:</p> <ol> <li> <p>Add to your <code>claude_desktop_config.json</code>: <div class="language-json highlight"><pre><span></span><code><span id=__span-2-1><a id=__codelineno-2-1 name=__codelineno-2-1 href=#__codelineno-2-1></a><span class=p>{</span>
-</span><span id=__span-2-2><a id=__codelineno-2-2 name=__codelineno-2-2 href=#__codelineno-2-2></a><span class=w>  </span><span class=nt>&quot;mcpServers&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-2-3><a id=__codelineno-2-3 name=__codelineno-2-3 href=#__codelineno-2-3></a><span class=w>    </span><span class=nt>&quot;deepcritical&quot;</span><span class=p>:</span><span class=w> </span><span class=p>{</span>
-</span><span id=__span-2-4><a id=__codelineno-2-4 name=__codelineno-2-4 href=#__codelineno-2-4></a><span class=w>      </span><span class=nt>&quot;url&quot;</span><span class=p>:</span><span class=w> </span><span class=s2>&quot;http://localhost:7860/gradio_api/mcp/&quot;</span>
-</span><span id=__span-2-5><a id=__codelineno-2-5 name=__codelineno-2-5 href=#__codelineno-2-5></a><span class=w>    </span><span class=p>}</span>
-</span><span id=__span-2-6><a id=__codelineno-2-6 name=__codelineno-2-6 href=#__codelineno-2-6></a><span class=w>  </span><span class=p>}</span>
-</span><span id=__span-2-7><a id=__codelineno-2-7 name=__codelineno-2-7 href=#__codelineno-2-7></a><span class=p>}</span>
-</span></code></pre></div></p> </li> <li> <p>Restart Claude Desktop</p> </li> <li>Use DeepCritical tools directly from Claude Desktop</li> </ol> <h2 id=available-tools>Available Tools<a class=headerlink href=#available-tools title="Anchor link to this section">&para;</a></h2> <ul> <li><code>search_pubmed</code>: Search peer-reviewed biomedical literature</li> <li><code>search_clinical_trials</code>: Search ClinicalTrials.gov</li> <li><code>search_biorxiv</code>: Search bioRxiv/medRxiv preprints</li> <li><code>search_neo4j</code>: Search Neo4j knowledge graph for papers and disease relationships</li> <li><code>search_all</code>: Search all sources simultaneously</li> <li><code>analyze_hypothesis</code>: Secure statistical analysis using Modal sandboxes</li> </ul> <p><strong>Note</strong>: The application automatically uses all available search tools (Neo4j, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG) based on query analysis. Neo4j knowledge graph search is included by default for biomedical queries.</p> <h2 id=next-steps>Next Steps<a class=headerlink href=#next-steps title="Anchor link to this section">&para;</a></h2> <ul> <li>Read the <a href=../../getting-started/installation/ >Installation Guide</a> for detailed setup</li> <li>Learn about <a href=../../configuration/ >Configuration</a></li> <li>Explore the <a href=../../architecture/graph_orchestration/ >Architecture</a></li> <li>Check out <a href=../../getting-started/examples/ >Examples</a></li> </ul> <aside class=md-source-file> <span class=md-source-file__fact> <span class=md-icon title="Last update"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="December 2, 2025 02:47:40 UTC"><span class=timeago datetime=2025-12-02T02:47:40+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="December 2, 2025 02:47:40 UTC">2025-12-02</span> </span> <span class=md-source-file__fact> <span class=md-icon title=Created> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M14.47 15.08 11 13V7h1.5v5.25l3.08 1.83c-.41.28-.79.62-1.11 1m-1.39 4.84c-.36.05-.71.08-1.08.08-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8c0 .37-.03.72-.08 1.08.69.1 1.33.32 1.92.64.1-.56.16-1.13.16-1.72 0-5.5-4.5-10-10-10S2 6.5 2 12s4.47 10 10 10c.59 0 1.16-.06 1.72-.16-.32-.59-.54-1.23-.64-1.92M18 15v3h-3v2h3v3h2v-3h3v-2h-3v-3z"/></svg> </span> <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-timeago" title="November 29, 2025 22:24:36 UTC"><span class=timeago datetime=2025-11-29T22:24:36+00:00 locale=en></span></span><span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-iso_date" title="November 29, 2025 22:24:36 UTC">2025-11-29</span> </span> </aside> </article> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var labels=set.querySelector(".tabbed-labels");for(var tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class=md-footer> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 2024 DeepCritical Team </div> Made with <a href=https://squidfunk.github.io/mkdocs-material/ target=_blank rel=noopener> Material for MkDocs </a> </div> <div class=md-social> <a href=https://github.com/DeepCritical/GradioDemo target=_blank rel=noopener title=GitHub class=md-social__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 512 512"><!-- Font Awesome Free 7.1.0 by @fontawesome - 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https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M492.5 69.8c-.2-.3-.4-.6-.8-.7-38.1-17.5-78.4-30-119.7-37.1-.4-.1-.8 0-1.1.1s-.6.4-.8.8c-5.5 9.9-10.5 20.2-14.9 30.6-44.6-6.8-89.9-6.8-134.4 0-4.5-10.5-9.5-20.7-15.1-30.6-.2-.3-.5-.6-.8-.8s-.7-.2-1.1-.2C162.5 39 122.2 51.5 84.1 69c-.3.1-.6.4-.8.7C7.1 183.5-13.8 294.6-3.6 404.2c0 .3.1.5.2.8s.3.4.5.6c44.4 32.9 94 58 146.8 74.2.4.1.8.1 1.1 0s.7-.4.9-.7c11.3-15.4 21.4-31.8 30-48.8.1-.2.2-.5.2-.8s0-.5-.1-.8-.2-.5-.4-.6-.4-.3-.7-.4c-15.8-6.1-31.2-13.4-45.9-21.9-.3-.2-.5-.4-.7-.6s-.3-.6-.3-.9 0-.6.2-.9.3-.5.6-.7c3.1-2.3 6.2-4.7 9.1-7.1.3-.2.6-.4.9-.4s.7 0 1 .1c96.2 43.9 200.4 43.9 295.5 0 .3-.1.7-.2 1-.2s.7.2.9.4c2.9 2.4 6 4.9 9.1 7.2.2.2.4.4.6.7s.2.6.2.9-.1.6-.3.9-.4.5-.6.6c-14.7 8.6-30 15.9-45.9 21.8-.2.1-.5.2-.7.4s-.3.4-.4.7-.1.5-.1.8.1.5.2.8c8.8 17 18.8 33.3 30 48.8.2.3.6.6.9.7s.8.1 1.1 0c52.9-16.2 102.6-41.3 147.1-74.2.2-.2.4-.4.5-.6s.2-.5.2-.8c12.3-126.8-20.5-236.9-86.9-334.5zm-302 267.7c-29 0-52.8-26.6-52.8-59.2s23.4-59.2 52.8-59.2c29.7 0 53.3 26.8 52.8 59.2 0 32.7-23.4 59.2-52.8 59.2m195.4 0c-29 0-52.8-26.6-52.8-59.2s23.4-59.2 52.8-59.2c29.7 0 53.3 26.8 52.8 59.2 0 32.7-23.2 59.2-52.8 59.2"/></svg> </a> </div> </div> </div> </footer> </div> <div class=md-dialog data-md-component=dialog> <div class="md-dialog__inner md-typeset"></div> </div> <script id=__config type=application/json>{"annotate": null, "base": "../..", "features": ["navigation.tabs", "navigation.sections", "navigation.expand", "navigation.top", "navigation.indexes", "navigation.instant", "navigation.tracking", "navigation.smooth", "search.suggest", "search.highlight", "content.code.annotate", "content.code.copy", "content.tabs.link", "content.tooltips", "toc.integrate"], "search": "../../assets/javascripts/workers/search.7a47a382.min.js", "tags": null, "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}, "version": null}</script> <script src=../../assets/javascripts/bundle.e71a0d61.min.js></script> <script src=../../js/timeago.min.js></script> <script src=../../js/timeago_mkdocs_material.js></script> </body> </html>
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-{"config":{"lang":["en"],"separator":"[\\s\\-,:!=\\[\\]()\"`/]+|\\.(?!\\d)|&[lg]t;|&amp;","pipeline":["stopWordFilter"],"fields":{"title":{"boost":1000.0},"text":{"boost":1.0},"tags":{"boost":1000000.0}}},"docs":[{"location":"","title":"The DETERMINATOR","text":"<p>Generalist Deep Research Agent - Stops at Nothing Until Finding Precise Answers</p> <p>The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations).</p> <p>Key Features: - Generalist: Handles queries from any domain (medical, technical, business, scientific, etc.) - Automatic Source Selection: Automatically determines if medical knowledge sources (PubMed, ClinicalTrials.gov) are needed - Multi-Source Search: Web search, PubMed, ClinicalTrials.gov, Europe PMC, RAG - Iterative Refinement: Continues searching and refining until precise answers are found - Evidence Synthesis: Comprehensive reports with proper citations</p> <p>Important: The DETERMINATOR is a research tool that synthesizes evidence. It cannot provide medical advice or answer medical questions directly.</p>"},{"location":"#features","title":"Features","text":"<ul> <li>Generalist Research: Handles any research question from any domain</li> <li>Automatic Medical Detection: Automatically determines if medical knowledge sources are needed</li> <li>Multi-Source Search: Web search, PubMed, ClinicalTrials.gov, Europe PMC (includes bioRxiv/medRxiv), RAG</li> <li>Iterative Until Precise: Stops at nothing until finding precise answers (only stops at configured limits)</li> <li>MCP Integration: Use our tools from Claude Desktop or any MCP client</li> <li>HuggingFace OAuth: Sign in with your HuggingFace account to automatically use your API token</li> <li>Modal Sandbox: Secure execution of AI-generated statistical code</li> <li>LlamaIndex RAG: Semantic search and evidence synthesis</li> <li>HuggingFace Inference: Free tier support with automatic fallback</li> <li>Strongly Typed Composable Graphs: Graph-based orchestration with Pydantic AI</li> <li>Specialized Research Teams of Agents: Multi-agent coordination for complex research tasks</li> </ul>"},{"location":"#quick-start","title":"Quick Start","text":"<pre><code># Install uv if you haven't already (recommended: standalone installer)\n# Unix/macOS/Linux:\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Windows (PowerShell):\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n# Alternative: pipx install uv\n# Or: pip install uv\n\n# Sync dependencies\nuv sync\n\n# Start the Gradio app\nuv run gradio run src/app.py\n</code></pre> <p>Open your browser to <code>http://localhost:7860</code>.</p> <p>For detailed installation and setup instructions, see the Getting Started Guide.</p>"},{"location":"#architecture","title":"Architecture","text":"<p>The DETERMINATOR uses a Vertical Slice Architecture:</p> <ol> <li>Search Slice: Retrieving evidence from multiple sources (web, PubMed, ClinicalTrials.gov, Europe PMC, RAG) based on query analysis</li> <li>Judge Slice: Evaluating evidence quality using LLMs</li> <li>Orchestrator Slice: Managing the research loop and UI</li> </ol> <p>The system supports three main research patterns:</p> <ul> <li>Iterative Research: Single research loop with search-judge-synthesize cycles</li> <li>Deep Research: Multi-section parallel research with planning and synthesis</li> <li>Research Team: Multi-agent coordination using Magentic framework</li> </ul> <p>Learn more about the Architecture.</p>"},{"location":"#documentation","title":"Documentation","text":"<ul> <li>Overview - System architecture and design</li> <li>Getting Started - Installation and setup</li> <li>Configuration - Configuration guide</li> <li>API Reference - API documentation</li> <li>Contributing - Development guidelines</li> </ul>"},{"location":"#links","title":"Links","text":"<ul> <li>GitHub Repository</li> <li>HuggingFace Space</li> </ul>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/","title":"MkDocs &amp; Material UI Improvement Assessment","text":""},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#current-configuration-analysis","title":"Current Configuration Analysis","text":"<p>Your current <code>mkdocs.yml</code> already includes many excellent features: - \u2705 Material theme with light/dark mode toggle - \u2705 Navigation tabs, sections, expand, and top navigation - \u2705 Search with suggestions and highlighting - \u2705 Code annotation and copy buttons - \u2705 Mermaid diagram support - \u2705 Code include plugin - \u2705 Minification for performance - \u2705 Comprehensive markdown extensions</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#recommended-improvements","title":"Recommended Improvements","text":""},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#1-versioning--multi-version-documentation--high-priority","title":"1. Versioning &amp; Multi-Version Documentation \u2b50 High Priority","text":"<p>If you plan to maintain multiple versions or branches:</p> <pre><code>plugins:\n  - search\n  - mermaid2\n  - codeinclude\n  - minify:\n      minify_html: true\n      minify_js: true\n      minify_css: true\n  - git-revision-date-localized:\n      enable_creation_date: true\n      type: timeago\n  # Optional: For versioning\n  # - versioning:\n  #     version: ['dev', 'main']\n</code></pre> <p>Benefits: Shows when pages were last updated, helps users understand document freshness.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#2-git-integration--revision-information--high-priority","title":"2. Git Integration &amp; Revision Information \u2b50 High Priority","text":"<p>Add revision dates and authors to pages:</p> <pre><code>plugins:\n  - git-revision-date-localized:\n      enable_creation_date: true\n      type: timeago\n      fallback_to_build_date: true\n  - git-committers:\n      repository: DeepCritical/GradioDemo\n      branch: dev\n</code></pre> <p>Benefits: Users see when content was last updated, builds trust in documentation freshness.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#3-enhanced-navigation-features--high-priority","title":"3. Enhanced Navigation Features \u2b50 High Priority","text":"<p>Add breadcrumbs and improve navigation:</p> <pre><code>theme:\n  features:\n    - navigation.tabs\n    - navigation.sections\n    - navigation.expand\n    - navigation.top\n    - navigation.indexes  # Add index pages\n    - navigation.instant  # Instant page loads\n    - navigation.tracking  # Track scroll position\n    - navigation.smooth  # Smooth scrolling\n    - search.suggest\n    - search.highlight\n    - content.code.annotate\n    - content.code.copy\n    - content.tabs.link  # Link to specific tabs\n    - content.tooltips  # Tooltips for abbreviations\n</code></pre> <p>Benefits: Better UX, easier navigation, professional feel.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#4-content-tabs-for-code-examples--high-priority","title":"4. Content Tabs for Code Examples \u2b50 High Priority","text":"<p>Perfect for showing multiple code examples (Python, TypeScript, etc.):</p> <pre><code>markdown_extensions:\n  - pymdownx.tabbed:\n      alternate_style: true\n      combine_header_slug: true  # Add this\n</code></pre> <p>Usage in docs: <pre><code>=== \"Python\"\n    ```python\n    def example():\n        pass\n    ```\n\n=== \"TypeScript\"\n    ```typescript\n    function example() {}\n    ```\n</code></pre></p> <p>Benefits: Clean way to show multiple implementations without cluttering pages.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#5-enhanced-admonitions--medium-priority","title":"5. Enhanced Admonitions \u2b50 Medium Priority","text":"<p>Add more admonition types and better styling:</p> <pre><code>markdown_extensions:\n  - admonition\n  - pymdownx.details\n  - pymdownx.superfences:\n      custom_fences:\n        - name: mermaid\n          class: mermaid\n          format: !!python/name:pymdownx.superfences.fence_code_format\n        # Add custom admonition fences\n        - name: danger\n          class: danger\n          format: !!python/name:pymdownx.superfences.fence_code_format\n</code></pre> <p>Usage: <pre><code>!!! danger \"Important\"\n    This is a critical warning.\n</code></pre></p> <p>Benefits: Better visual hierarchy for warnings, tips, and important information.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#6-math-formula-support--medium-priority-if-needed","title":"6. Math Formula Support \u2b50 Medium Priority (if needed)","text":"<p>If your documentation includes mathematical formulas:</p> <pre><code>markdown_extensions:\n  - pymdownx.arithmatex:\n      generic: true\n  - pymdownx.superfences:\n      custom_fences:\n        - name: math\n          class: arithmetic\n          format: !!python/name:pymdownx.superfences.fence_code_format\n\nextra_javascript:\n  - javascripts/mathjax.js\n  - https://polyfill.io/v3/polyfill.min.js?features=es6\n  - https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js\n</code></pre> <p>Benefits: Essential for scientific/technical documentation with formulas.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#7-better-code-highlighting--medium-priority","title":"7. Better Code Highlighting \u2b50 Medium Priority","text":"<p>Add more language support and better themes:</p> <pre><code>markdown_extensions:\n  - pymdownx.highlight:\n      anchor_linenums: true\n      line_spans: __span\n      pygments_lang_class: true\n      use_pygments: true\n      noclasses: false  # Use CSS classes instead of inline styles\n</code></pre> <p>Benefits: Better syntax highlighting, more language support.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#8-social-links-enhancement--low-priority","title":"8. Social Links Enhancement \u2b50 Low Priority","text":"<p>Add more social platforms and better icons:</p> <pre><code>extra:\n  social:\n    - icon: fontawesome/brands/github\n      link: https://github.com/DeepCritical/GradioDemo\n      name: GitHub\n    - icon: fontawesome/brands/twitter\n      link: https://twitter.com/yourhandle\n      name: Twitter\n    - icon: material/web\n      link: https://huggingface.co/spaces/DataQuests/DeepCritical\n      name: HuggingFace Space\n    - icon: fontawesome/brands/discord\n      link: https://discord.gg/yourserver\n      name: Discord\n</code></pre> <p>Benefits: Better community engagement, more ways to connect.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#9-analytics-integration--medium-priority","title":"9. Analytics Integration \u2b50 Medium Priority","text":"<p>Add privacy-respecting analytics:</p> <pre><code>extra:\n  analytics:\n    provider: google\n    property: G-XXXXXXXXXX\n  # Or use privacy-focused alternative:\n  # analytics:\n  #   provider: plausible\n  #   domain: yourdomain.com\n</code></pre> <p>Benefits: Understand how users interact with your documentation.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#10-custom-cssjs-for-branding--low-priority","title":"10. Custom CSS/JS for Branding \u2b50 Low Priority","text":"<p>Add custom styling:</p> <pre><code>extra_css:\n  - stylesheets/extra.css\n\nextra_javascript:\n  - javascripts/extra.js\n</code></pre> <p>Benefits: Customize appearance, add interactive features.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#11-better-table-of-contents--medium-priority","title":"11. Better Table of Contents \u2b50 Medium Priority","text":"<p>Enhance TOC with more options:</p> <pre><code>markdown_extensions:\n  - toc:\n      permalink: true\n      permalink_title: \"Anchor link to this section\"\n      baselevel: 1\n      toc_depth: 3\n      slugify: !!python/object/apply:pymdownx.slugs.slugify\n        kwds:\n          case: lower\n</code></pre> <p>Benefits: Better navigation within long pages, SEO-friendly anchor links.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#12-image-optimization--medium-priority","title":"12. Image Optimization \u2b50 Medium Priority","text":"<p>Add image handling plugin:</p> <pre><code>plugins:\n  - search\n  - mermaid2\n  - codeinclude\n  - minify:\n      minify_html: true\n      minify_js: true\n      minify_css: true\n  - git-revision-date-localized:\n      enable_creation_date: true\n      type: timeago\n  # Optional: Image optimization\n  # - awesome-pages  # For better page organization\n</code></pre> <p>Benefits: Faster page loads, better mobile experience.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#13-keyboard-shortcuts--low-priority","title":"13. Keyboard Shortcuts \u2b50 Low Priority","text":"<p>Enable keyboard navigation:</p> <pre><code>theme:\n  keyboard_shortcuts:\n    search: true\n    previous: true\n    next: true\n</code></pre> <p>Benefits: Power users can navigate faster.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#14-print-styles--low-priority","title":"14. Print Styles \u2b50 Low Priority","text":"<p>Better printing experience:</p> <pre><code>theme:\n  features:\n    - navigation.tabs\n    - navigation.sections\n    - navigation.expand\n    - navigation.top\n    - navigation.indexes\n    - navigation.instant\n    - navigation.tracking\n    - navigation.smooth\n    - search.suggest\n    - search.highlight\n    - content.code.annotate\n    - content.code.copy\n    - content.tabs.link\n    - content.tooltips\n    - content.action.edit  # Edit button\n    - content.action.view  # View source\n</code></pre> <p>Benefits: Users can print documentation cleanly.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#15-better-search-configuration--medium-priority","title":"15. Better Search Configuration \u2b50 Medium Priority","text":"<p>Enhance search capabilities:</p> <pre><code>plugins:\n  - search:\n      lang:\n        - en\n      separator: '[\\s\\-,:!=\\[\\]()\"`/]+|\\.(?!\\d)|&amp;[lg]t;|&amp;amp;'\n      prebuild_index: true  # For faster search\n      indexing: full  # Full-text indexing\n</code></pre> <p>Benefits: Faster, more accurate search results.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#16-api-documentation-enhancements--high-priority-for-your-api-docs","title":"16. API Documentation Enhancements \u2b50 High Priority (for your API docs)","text":"<p>Since you have extensive API documentation, consider:</p> <pre><code>markdown_extensions:\n  - pymdownx.superfences:\n      custom_fences:\n        - name: mermaid\n          class: mermaid\n          format: !!python/name:pymdownx.superfences.fence_code_format\n      preserve_tabs: true\n  # Add API-specific features\n  - attr_list\n  - md_in_html\n  - pymdownx.caret\n  - pymdownx.tilde\n</code></pre> <p>Benefits: Better formatting for API endpoints, parameters, responses.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#17-blognews-section--low-priority-if-needed","title":"17. Blog/News Section \u2b50 Low Priority (if needed)","text":"<p>If you want to add a blog:</p> <pre><code>plugins:\n  - blog:\n      blog_dir: blog\n      blog_description: \"News and updates\"\n      post_date_format: full\n      post_url_format: '{slug}'\n      archive: true\n</code></pre> <p>Benefits: Keep users updated with changelog, announcements.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#18-tags-and-categories--low-priority","title":"18. Tags and Categories \u2b50 Low Priority","text":"<p>Organize content with tags:</p> <pre><code>markdown_extensions:\n  - meta\n</code></pre> <p>Then in frontmatter: <pre><code>---\ntags:\n  - api\n  - agents\n  - getting-started\n---\n</code></pre></p> <p>Benefits: Better content organization, related content discovery.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#19-better-mobile-experience--high-priority","title":"19. Better Mobile Experience \u2b50 High Priority","text":"<p>Ensure mobile optimization:</p> <pre><code>theme:\n  features:\n    - navigation.tabs\n    - navigation.sections\n    - navigation.expand\n    - navigation.top\n    - navigation.instant  # Helps on mobile\n    - navigation.tracking\n    - navigation.smooth\n    - search.suggest\n    - search.highlight\n    - content.code.annotate\n    - content.code.copy\n    - content.tabs.link\n    - content.tooltips\n    - toc.integrate  # Better mobile TOC\n</code></pre> <p>Benefits: Better experience for mobile users (growing segment).</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#20-feedback-mechanism--medium-priority","title":"20. Feedback Mechanism \u2b50 Medium Priority","text":"<p>Add feedback buttons:</p> <pre><code>extra:\n  feedback:\n    title: \"Was this page helpful?\"\n    ratings:\n      - icon: material/thumb-up-outline\n        name: \"This page was helpful\"\n      - icon: material/thumb-down-outline\n        name: \"This page could be improved\"\n</code></pre> <p>Benefits: Understand what content needs improvement.</p>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#priority-recommendations","title":"Priority Recommendations","text":""},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#immediate-high-impact-easy-implementation","title":"Immediate (High Impact, Easy Implementation)","text":"<ol> <li>\u2705 Git revision dates - Shows content freshness</li> <li>\u2705 Enhanced navigation features - Better UX</li> <li>\u2705 Content tabs - Perfect for code examples</li> <li>\u2705 Better search configuration - Faster search</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#short-term-high-impact-medium-effort","title":"Short-term (High Impact, Medium Effort)","text":"<ol> <li>\u2705 API documentation enhancements - Better API docs</li> <li>\u2705 Enhanced admonitions - Better visual hierarchy</li> <li>\u2705 Mobile optimization - Better mobile experience</li> <li>\u2705 Analytics - Understand user behavior</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#long-term-nice-to-have","title":"Long-term (Nice to Have)","text":"<ol> <li>\u26a0\ufe0f Versioning - If you need multiple versions</li> <li>\u26a0\ufe0f Math formulas - If you have mathematical content</li> <li>\u26a0\ufe0f Blog section - If you want to publish updates</li> <li>\u26a0\ufe0f Custom CSS/JS - For advanced customization</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#implementation-example","title":"Implementation Example","text":"<p>Here's an enhanced <code>mkdocs.yml</code> with the high-priority improvements:</p> <pre><code>site_name: The DETERMINATOR\nsite_description: Generalist Deep Research Agent that Stops at Nothing\nsite_author: The DETERMINATOR Team\nsite_url: https://deepcritical.github.io/GradioDemo/\n\nrepo_name: DeepCritical/GradioDemo\nrepo_url: https://github.com/DeepCritical/GradioDemo\nedit_uri: edit/dev/docs/\n\nstrict: false\n\ntheme:\n  name: material\n  palette:\n    - scheme: default\n      primary: orange\n      accent: red\n      toggle:\n        icon: material/brightness-7\n        name: Switch to dark mode\n    - scheme: slate\n      primary: orange\n      accent: red\n      toggle:\n        icon: material/brightness-4\n        name: Switch to light mode\n  features:\n    - navigation.tabs\n    - navigation.sections\n    - navigation.expand\n    - navigation.top\n    - navigation.indexes\n    - navigation.instant\n    - navigation.tracking\n    - navigation.smooth\n    - search.suggest\n    - search.highlight\n    - content.code.annotate\n    - content.code.copy\n    - content.tabs.link\n    - content.tooltips\n    - toc.integrate\n  icon:\n    repo: fontawesome/brands/github\n  language: en\n\nplugins:\n  - search:\n      lang:\n        - en\n      separator: '[\\s\\-,:!=\\[\\]()\"`/]+|\\.(?!\\d)|&amp;[lg]t;|&amp;amp;'\n      prebuild_index: true\n      indexing: full\n  - mermaid2\n  - codeinclude\n  - git-revision-date-localized:\n      enable_creation_date: true\n      type: timeago\n      fallback_to_build_date: true\n  - minify:\n      minify_html: true\n      minify_js: true\n      minify_css: true\n\nmarkdown_extensions:\n  - dev.docs_plugins:\n      base_path: \".\"\n  - pymdownx.highlight:\n      anchor_linenums: true\n      line_spans: __span\n      pygments_lang_class: true\n      use_pygments: true\n      noclasses: false\n  - pymdownx.inlinehilite\n  - pymdownx.superfences:\n      custom_fences:\n        - name: mermaid\n          class: mermaid\n          format: !!python/name:pymdownx.superfences.fence_code_format\n      preserve_tabs: true\n  - pymdownx.tabbed:\n      alternate_style: true\n      combine_header_slug: true\n  - pymdownx.tasklist:\n      custom_checkbox: true\n  - pymdownx.emoji:\n      emoji_generator: !!python/name:pymdownx.emoji.to_svg\n      emoji_index: !!python/name:pymdownx.emoji.twemoji\n  - pymdownx.snippets\n  - admonition\n  - pymdownx.details\n  - attr_list\n  - md_in_html\n  - tables\n  - meta\n  - toc:\n      permalink: true\n      permalink_title: \"Anchor link to this section\"\n      baselevel: 1\n      toc_depth: 3\n      slugify: !!python/object/apply:pymdownx.slugs.slugify\n        kwds:\n          case: lower\n\nnav:\n  - Home: index.md\n  - Overview:\n    - overview/architecture.md\n    - overview/features.md\n  - Getting Started:\n    - getting-started/installation.md\n    - getting-started/quick-start.md\n    - getting-started/mcp-integration.md\n    - getting-started/examples.md\n  - Configuration:\n    - configuration/index.md\n  - Architecture:\n    - \"Graph Orchestration\": architecture/graph_orchestration.md\n    - \"Workflow Diagrams\": architecture/workflow-diagrams.md\n    - \"Agents\": architecture/agents.md\n    - \"Orchestrators\": architecture/orchestrators.md\n    - \"Tools\": architecture/tools.md\n    - \"Middleware\": architecture/middleware.md\n    - \"Services\": architecture/services.md\n  - API Reference:\n    - api/agents.md\n    - api/tools.md\n    - api/orchestrators.md\n    - api/services.md\n    - api/models.md\n  - Contributing:\n    - contributing/index.md\n    - contributing/code-quality.md\n    - contributing/code-style.md\n    - contributing/error-handling.md\n    - contributing/implementation-patterns.md\n    - contributing/prompt-engineering.md\n    - contributing/testing.md\n  - License: LICENSE.md\n  - Team: team.md\n\nextra:\n  social:\n    - icon: fontawesome/brands/github\n      link: https://github.com/DeepCritical/GradioDemo\n      name: GitHub\n    - icon: material/web\n      link: https://huggingface.co/spaces/DataQuests/DeepCritical\n      name: HuggingFace Space\n  version:\n    provider: mike\n  generator:\n    enabled: false\n\ncopyright: Copyright &amp;copy; 2024 DeepCritical Team\n</code></pre>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#additional-documentation-improvements","title":"Additional Documentation Improvements","text":""},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#content-structure","title":"Content Structure","text":"<ol> <li>Add a changelog page - Keep users informed of updates</li> <li>Add a FAQ section - Address common questions</li> <li>Add a glossary - Define technical terms</li> <li>Add a troubleshooting guide - Help users solve common issues</li> <li>Add video tutorials - Embed videos for complex topics</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#visual-enhancements","title":"Visual Enhancements","text":"<ol> <li>Add diagrams - Use more Mermaid diagrams for complex flows</li> <li>Add screenshots - Visual guides for UI features</li> <li>Add code examples - More practical examples</li> <li>Add comparison tables - Compare different approaches/options</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#seo--discoverability","title":"SEO &amp; Discoverability","text":"<ol> <li>Add meta descriptions - Better search engine results</li> <li>Add Open Graph tags - Better social media sharing</li> <li>Add sitemap - Help search engines index your docs</li> <li>Add robots.txt - Control search engine crawling</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#next-steps","title":"Next Steps","text":"<ol> <li>Review this assessment</li> <li>Prioritize features based on your needs</li> <li>Test changes in a branch</li> <li>Gather user feedback</li> <li>Iterate and improve</li> </ol>"},{"location":"MKDOCS_IMPROVEMENTS_ASSESSMENT/#resources","title":"Resources","text":"<ul> <li>MkDocs User Guide</li> <li>Material for MkDocs Documentation</li> <li>Material for MkDocs Reference</li> <li>MkDocs Plugins</li> </ul>"},{"location":"team/","title":"Team","text":"<p>DeepCritical is developed by a team of researchers and developers working on AI-assisted research.</p>"},{"location":"team/#team-members","title":"Team Members","text":""},{"location":"team/#zj","title":"ZJ","text":"<ul> <li>\ud83d\udcbc LinkedIn</li> </ul>"},{"location":"team/#mario-aderman","title":"Mario Aderman","text":"<ul> <li>\ud83e\udd17 HuggingFace</li> <li>\ud83d\udcbc LinkedIn</li> <li>\ud835\udd4f X</li> </ul>"},{"location":"team/#joseph-pollack","title":"Joseph Pollack","text":"<ul> <li>\ud83e\udd17 HuggingFace</li> <li>\ud83d\udcbc LinkedIn</li> <li>\ud835\udd4f X</li> </ul>"},{"location":"team/#virat-chauran","title":"Virat Chauran","text":"<ul> <li>\ud835\udd4f X</li> <li>\ud83d\udcbc LinkedIn</li> <li>\ud83e\udd17 HuggingFace</li> </ul>"},{"location":"team/#anna-bossler","title":"Anna Bossler","text":"<ul> <li>\ud83d\udcbc LinkedIn</li> </ul>"},{"location":"team/#about","title":"About","text":"<p>The DeepCritical team met online in the Alzheimer's Critical Literature Review Group in the Hugging Science initiative. We're building the agent framework we want to use for AI-assisted research to turn the vast amounts of clinical data into cures.</p>"},{"location":"team/#contributing","title":"Contributing","text":"<p>We welcome contributions! See the Contributing Guide for details.</p>"},{"location":"team/#links","title":"Links","text":"<ul> <li>GitHub Repository</li> <li>HuggingFace Space</li> </ul>"},{"location":"api/agents/","title":"Agents API Reference","text":"<p>This page documents the API for DeepCritical agents.</p>"},{"location":"api/agents/#knowledgegapagent","title":"KnowledgeGapAgent","text":"<p>Module: <code>src.agents.knowledge_gap</code></p> <p>Purpose: Evaluates research state and identifies knowledge gaps.</p>"},{"location":"api/agents/#methods","title":"Methods","text":""},{"location":"api/agents/#evaluate","title":"<code>evaluate</code>","text":"<p>Evaluates research completeness and identifies outstanding knowledge gaps.</p> <p>Parameters: - <code>query</code>: Research query string - <code>background_context</code>: Background context for the query (default: \"\") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: \"\") - <code>iteration</code>: Current iteration number (default: 0) - <code>time_elapsed_minutes</code>: Elapsed time in minutes (default: 0.0) - <code>max_time_minutes</code>: Maximum time limit in minutes (default: 10)</p> <p>Returns: <code>KnowledgeGapOutput</code> with: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p>"},{"location":"api/agents/#toolselectoragent","title":"ToolSelectorAgent","text":"<p>Module: <code>src.agents.tool_selector</code></p> <p>Purpose: Selects appropriate tools for addressing knowledge gaps.</p>"},{"location":"api/agents/#methods_1","title":"Methods","text":""},{"location":"api/agents/#select_tools","title":"<code>select_tools</code>","text":"<p>Selects tools for addressing a knowledge gap.</p> <p>Parameters: - <code>gap</code>: The knowledge gap to address - <code>query</code>: Research query string - <code>background_context</code>: Optional background context (default: \"\") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: \"\")</p> <p>Returns: <code>AgentSelectionPlan</code> with list of <code>AgentTask</code> objects.</p>"},{"location":"api/agents/#writeragent","title":"WriterAgent","text":"<p>Module: <code>src.agents.writer</code></p> <p>Purpose: Generates final reports from research findings.</p>"},{"location":"api/agents/#methods_2","title":"Methods","text":""},{"location":"api/agents/#write_report","title":"<code>write_report</code>","text":"<p>Generates a markdown report from research findings.</p> <p>Parameters: - <code>query</code>: Research query string - <code>findings</code>: Research findings to include in report - <code>output_length</code>: Optional description of desired output length (default: \"\") - <code>output_instructions</code>: Optional additional instructions for report generation (default: \"\")</p> <p>Returns: Markdown string with numbered citations.</p>"},{"location":"api/agents/#longwriteragent","title":"LongWriterAgent","text":"<p>Module: <code>src.agents.long_writer</code></p> <p>Purpose: Long-form report generation with section-by-section writing.</p>"},{"location":"api/agents/#methods_3","title":"Methods","text":""},{"location":"api/agents/#write_next_section","title":"<code>write_next_section</code>","text":"<p>Writes the next section of a long-form report.</p> <p>Parameters: - <code>original_query</code>: The original research query - <code>report_draft</code>: Current report draft as string (all sections written so far) - <code>next_section_title</code>: Title of the section to write - <code>next_section_draft</code>: Draft content for the next section</p> <p>Returns: <code>LongWriterOutput</code> with formatted section and references.</p>"},{"location":"api/agents/#write_report_1","title":"<code>write_report</code>","text":"<p>Generates final report from draft.</p> <p>Parameters: - <code>query</code>: Research query string - <code>report_title</code>: Title of the report - <code>report_draft</code>: Complete report draft</p> <p>Returns: Final markdown report string.</p>"},{"location":"api/agents/#proofreaderagent","title":"ProofreaderAgent","text":"<p>Module: <code>src.agents.proofreader</code></p> <p>Purpose: Proofreads and polishes report drafts.</p>"},{"location":"api/agents/#methods_4","title":"Methods","text":""},{"location":"api/agents/#proofread","title":"<code>proofread</code>","text":"<p>Proofreads and polishes a report draft.</p> <p>Parameters: - <code>query</code>: Research query string - <code>report_title</code>: Title of the report - <code>report_draft</code>: Report draft to proofread</p> <p>Returns: Polished markdown string.</p>"},{"location":"api/agents/#thinkingagent","title":"ThinkingAgent","text":"<p>Module: <code>src.agents.thinking</code></p> <p>Purpose: Generates observations from conversation history.</p>"},{"location":"api/agents/#methods_5","title":"Methods","text":""},{"location":"api/agents/#generate_observations","title":"<code>generate_observations</code>","text":"<p>Generates observations from conversation history.</p> <p>Parameters: - <code>query</code>: Research query string - <code>background_context</code>: Optional background context (default: \"\") - <code>conversation_history</code>: History of actions, findings, and thoughts as string (default: \"\") - <code>iteration</code>: Current iteration number (default: 1)</p> <p>Returns: Observation string.</p>"},{"location":"api/agents/#inputparseragent","title":"InputParserAgent","text":"<p>Module: <code>src.agents.input_parser</code></p> <p>Purpose: Parses and improves user queries, detects research mode.</p>"},{"location":"api/agents/#methods_6","title":"Methods","text":""},{"location":"api/agents/#parse","title":"<code>parse</code>","text":"<p>Parses and improves a user query.</p> <p>Parameters: - <code>query</code>: Original query string</p> <p>Returns: <code>ParsedQuery</code> with: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: \"iterative\" or \"deep\" - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p>"},{"location":"api/agents/#factory-functions","title":"Factory Functions","text":"<p>All agents have factory functions in <code>src.agent_factory.agents</code>:</p> <p>Parameters: - <code>model</code>: Optional Pydantic AI model. If None, uses <code>get_model()</code> from settings. - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (takes priority over env vars)</p> <p>Returns: Agent instance.</p>"},{"location":"api/agents/#see-also","title":"See Also","text":"<ul> <li>Architecture - Agents - Architecture overview</li> <li>Models API - Data models used by agents</li> </ul>"},{"location":"api/models/","title":"Models API Reference","text":"<p>This page documents the Pydantic models used throughout DeepCritical.</p>"},{"location":"api/models/#evidence","title":"Evidence","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Represents evidence from search results.</p> <p>Fields: - <code>citation</code>: Citation information (title, URL, date, authors) - <code>content</code>: Evidence text content - <code>relevance</code>: Relevance score (0.0-1.0) - <code>metadata</code>: Additional metadata dictionary</p>"},{"location":"api/models/#citation","title":"Citation","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Citation information for evidence.</p> <p>Fields: - <code>source</code>: Source name (e.g., \"pubmed\", \"clinicaltrials\", \"europepmc\", \"web\", \"rag\") - <code>title</code>: Article/trial title - <code>url</code>: Source URL - <code>date</code>: Publication date (YYYY-MM-DD or \"Unknown\") - <code>authors</code>: List of authors (optional)</p>"},{"location":"api/models/#knowledgegapoutput","title":"KnowledgeGapOutput","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Output from knowledge gap evaluation.</p> <p>Fields: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p>"},{"location":"api/models/#agentselectionplan","title":"AgentSelectionPlan","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Plan for tool/agent selection.</p> <p>Fields: - <code>tasks</code>: List of agent tasks to execute</p>"},{"location":"api/models/#agenttask","title":"AgentTask","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Individual agent task.</p> <p>Fields: - <code>gap</code>: The knowledge gap being addressed (optional) - <code>agent</code>: Name of agent to use - <code>query</code>: The specific query for the agent - <code>entity_website</code>: The website of the entity being researched, if known (optional)</p>"},{"location":"api/models/#reportdraft","title":"ReportDraft","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Draft structure for long-form reports.</p> <p>Fields: - <code>sections</code>: List of report sections</p>"},{"location":"api/models/#reportsection","title":"ReportSection","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Individual section in a report draft.</p> <p>Fields: - <code>section_title</code>: The title of the section - <code>section_content</code>: The content of the section</p>"},{"location":"api/models/#parsedquery","title":"ParsedQuery","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Parsed and improved query.</p> <p>Fields: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: Research mode (\"iterative\" or \"deep\") - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p>"},{"location":"api/models/#conversation","title":"Conversation","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Conversation history with iterations.</p> <p>Fields: - <code>history</code>: List of iteration data</p>"},{"location":"api/models/#iterationdata","title":"IterationData","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Data for a single iteration.</p> <p>Fields: - <code>gap</code>: The gap addressed in the iteration - <code>tool_calls</code>: The tool calls made - <code>findings</code>: The findings collected from tool calls - <code>thought</code>: The thinking done to reflect on the success of the iteration and next steps</p>"},{"location":"api/models/#agentevent","title":"AgentEvent","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Event emitted during research execution.</p> <p>Fields: - <code>type</code>: Event type (e.g., \"started\", \"search_complete\", \"complete\") - <code>iteration</code>: Iteration number (optional) - <code>data</code>: Event data dictionary</p>"},{"location":"api/models/#budgetstatus","title":"BudgetStatus","text":"<p>Module: <code>src.utils.models</code></p> <p>Purpose: Current budget status.</p> <p>Fields: - <code>tokens_used</code>: Total tokens used - <code>tokens_limit</code>: Token budget limit - <code>time_elapsed_seconds</code>: Time elapsed in seconds - <code>time_limit_seconds</code>: Time budget limit (default: 600.0 seconds / 10 minutes) - <code>iterations</code>: Number of iterations completed - <code>iterations_limit</code>: Maximum iterations (default: 10) - <code>iteration_tokens</code>: Tokens used per iteration (iteration number -&gt; token count)</p>"},{"location":"api/models/#see-also","title":"See Also","text":"<ul> <li>Architecture - Agents - How models are used</li> <li>Configuration - Model configuration</li> </ul>"},{"location":"api/orchestrators/","title":"Orchestrators API Reference","text":"<p>This page documents the API for DeepCritical orchestrators.</p>"},{"location":"api/orchestrators/#iterativeresearchflow","title":"IterativeResearchFlow","text":"<p>Module: <code>src.orchestrator.research_flow</code></p> <p>Purpose: Single-loop research with search-judge-synthesize cycles.</p>"},{"location":"api/orchestrators/#methods","title":"Methods","text":""},{"location":"api/orchestrators/#run","title":"<code>run</code>","text":"<p>Runs iterative research flow.</p> <p>Parameters: - <code>query</code>: Research query string - <code>background_context</code>: Background context (default: \"\") - <code>output_length</code>: Optional description of desired output length (default: \"\") - <code>output_instructions</code>: Optional additional instructions for report generation (default: \"\")</p> <p>Returns: Final report string.</p> <p>Note: <code>max_iterations</code>, <code>max_time_minutes</code>, and <code>token_budget</code> are constructor parameters, not <code>run()</code> parameters.</p>"},{"location":"api/orchestrators/#deepresearchflow","title":"DeepResearchFlow","text":"<p>Module: <code>src.orchestrator.research_flow</code></p> <p>Purpose: Multi-section parallel research with planning and synthesis.</p>"},{"location":"api/orchestrators/#methods_1","title":"Methods","text":""},{"location":"api/orchestrators/#run_1","title":"<code>run</code>","text":"<p>Runs deep research flow.</p> <p>Parameters: - <code>query</code>: Research query string</p> <p>Returns: Final report string.</p> <p>Note: <code>max_iterations_per_section</code>, <code>max_time_minutes</code>, and <code>token_budget</code> are constructor parameters, not <code>run()</code> parameters.</p>"},{"location":"api/orchestrators/#graphorchestrator","title":"GraphOrchestrator","text":"<p>Module: <code>src.orchestrator.graph_orchestrator</code></p> <p>Purpose: Graph-based execution using Pydantic AI agents as nodes.</p>"},{"location":"api/orchestrators/#methods_2","title":"Methods","text":""},{"location":"api/orchestrators/#run_2","title":"<code>run</code>","text":"<p>Runs graph-based research orchestration.</p> <p>Parameters: - <code>query</code>: Research query string</p> <p>Yields: <code>AgentEvent</code> objects during graph execution.</p> <p>Note: <code>research_mode</code> and <code>use_graph</code> are constructor parameters, not <code>run()</code> parameters.</p>"},{"location":"api/orchestrators/#orchestrator-factory","title":"Orchestrator Factory","text":"<p>Module: <code>src.orchestrator_factory</code></p> <p>Purpose: Factory for creating orchestrators.</p>"},{"location":"api/orchestrators/#functions","title":"Functions","text":""},{"location":"api/orchestrators/#create_orchestrator","title":"<code>create_orchestrator</code>","text":"<p>Creates an orchestrator instance.</p> <p>Parameters: - <code>search_handler</code>: Search handler protocol implementation (optional, required for simple mode) - <code>judge_handler</code>: Judge handler protocol implementation (optional, required for simple mode) - <code>config</code>: Configuration object (optional) - <code>mode</code>: Orchestrator mode (\"simple\", \"advanced\", \"magentic\", \"iterative\", \"deep\", \"auto\", or None for auto-detect) - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (takes priority over env vars)</p> <p>Returns: Orchestrator instance.</p> <p>Raises: - <code>ValueError</code>: If requirements not met</p> <p>Modes: - <code>\"simple\"</code>: Legacy orchestrator - <code>\"advanced\"</code> or <code>\"magentic\"</code>: Magentic orchestrator (requires OpenAI API key) - <code>None</code>: Auto-detect based on API key availability</p>"},{"location":"api/orchestrators/#magenticorchestrator","title":"MagenticOrchestrator","text":"<p>Module: <code>src.orchestrator_magentic</code></p> <p>Purpose: Multi-agent coordination using Microsoft Agent Framework.</p>"},{"location":"api/orchestrators/#methods_3","title":"Methods","text":""},{"location":"api/orchestrators/#run_3","title":"<code>run</code>","text":"<p>Runs Magentic orchestration.</p> <p>Parameters: - <code>query</code>: Research query string</p> <p>Yields: <code>AgentEvent</code> objects converted from Magentic events.</p> <p>Note: <code>max_rounds</code> and <code>max_stalls</code> are constructor parameters, not <code>run()</code> parameters.</p> <p>Requirements: - <code>agent-framework-core</code> package - OpenAI API key</p>"},{"location":"api/orchestrators/#see-also","title":"See Also","text":"<ul> <li>Architecture - Orchestrators - Architecture overview</li> <li>Graph Orchestration - Graph execution details</li> </ul>"},{"location":"api/services/","title":"Services API Reference","text":"<p>This page documents the API for DeepCritical services.</p>"},{"location":"api/services/#embeddingservice","title":"EmbeddingService","text":"<p>Module: <code>src.services.embeddings</code></p> <p>Purpose: Local sentence-transformers for semantic search and deduplication.</p>"},{"location":"api/services/#methods","title":"Methods","text":""},{"location":"api/services/#embed","title":"<code>embed</code>","text":"<p>Generates embedding for a text string.</p> <p>Parameters: - <code>text</code>: Text to embed</p> <p>Returns: Embedding vector as list of floats.</p>"},{"location":"api/services/#embed_batch","title":"<code>embed_batch</code>","text":"<pre><code>async def embed_batch(self, texts: list[str]) -&gt; list[list[float]]\n</code></pre> <p>Generates embeddings for multiple texts.</p> <p>Parameters: - <code>texts</code>: List of texts to embed</p> <p>Returns: List of embedding vectors.</p>"},{"location":"api/services/#similarity","title":"<code>similarity</code>","text":"<pre><code>async def similarity(self, text1: str, text2: str) -&gt; float\n</code></pre> <p>Calculates similarity between two texts.</p> <p>Parameters: - <code>text1</code>: First text - <code>text2</code>: Second text</p> <p>Returns: Similarity score (0.0-1.0).</p>"},{"location":"api/services/#find_duplicates","title":"<code>find_duplicates</code>","text":"<pre><code>async def find_duplicates(\n    self,\n    texts: list[str],\n    threshold: float = 0.85\n) -&gt; list[tuple[int, int]]\n</code></pre> <p>Finds duplicate texts based on similarity threshold.</p> <p>Parameters: - <code>texts</code>: List of texts to check - <code>threshold</code>: Similarity threshold (default: 0.85)</p> <p>Returns: List of (index1, index2) tuples for duplicate pairs.</p>"},{"location":"api/services/#add_evidence","title":"<code>add_evidence</code>","text":"<pre><code>async def add_evidence(\n    self,\n    evidence_id: str,\n    content: str,\n    metadata: dict[str, Any]\n) -&gt; None\n</code></pre> <p>Adds evidence to vector store for semantic search.</p> <p>Parameters: - <code>evidence_id</code>: Unique identifier for the evidence - <code>content</code>: Evidence text content - <code>metadata</code>: Additional metadata dictionary</p>"},{"location":"api/services/#search_similar","title":"<code>search_similar</code>","text":"<pre><code>async def search_similar(\n    self,\n    query: str,\n    n_results: int = 5\n) -&gt; list[dict[str, Any]]\n</code></pre> <p>Finds semantically similar evidence.</p> <p>Parameters: - <code>query</code>: Search query string - <code>n_results</code>: Number of results to return (default: 5)</p> <p>Returns: List of dictionaries with <code>id</code>, <code>content</code>, <code>metadata</code>, and <code>distance</code> keys.</p>"},{"location":"api/services/#deduplicate","title":"<code>deduplicate</code>","text":"<pre><code>async def deduplicate(\n    self,\n    new_evidence: list[Evidence],\n    threshold: float = 0.9\n) -&gt; list[Evidence]\n</code></pre> <p>Removes semantically duplicate evidence.</p> <p>Parameters: - <code>new_evidence</code>: List of evidence items to deduplicate - <code>threshold</code>: Similarity threshold (default: 0.9, where 0.9 = 90% similar is duplicate)</p> <p>Returns: List of unique evidence items (not already in vector store).</p>"},{"location":"api/services/#factory-function","title":"Factory Function","text":""},{"location":"api/services/#get_embedding_service","title":"<code>get_embedding_service</code>","text":"<pre><code>@lru_cache(maxsize=1)\ndef get_embedding_service() -&gt; EmbeddingService\n</code></pre> <p>Returns singleton EmbeddingService instance.</p>"},{"location":"api/services/#llamaindexragservice","title":"LlamaIndexRAGService","text":"<p>Module: <code>src.services.rag</code></p> <p>Purpose: Retrieval-Augmented Generation using LlamaIndex.</p>"},{"location":"api/services/#methods_1","title":"Methods","text":""},{"location":"api/services/#ingest_evidence","title":"<code>ingest_evidence</code>","text":"<p>Ingests evidence into RAG service.</p> <p>Parameters: - <code>evidence_list</code>: List of Evidence objects to ingest</p> <p>Note: Supports multiple embedding providers (OpenAI, local sentence-transformers, Hugging Face).</p>"},{"location":"api/services/#retrieve","title":"<code>retrieve</code>","text":"<pre><code>def retrieve(\n    self,\n    query: str,\n    top_k: int | None = None\n) -&gt; list[dict[str, Any]]\n</code></pre> <p>Retrieves relevant documents for a query.</p> <p>Parameters: - <code>query</code>: Search query string - <code>top_k</code>: Number of top results to return (defaults to <code>similarity_top_k</code> from constructor)</p> <p>Returns: List of dictionaries with <code>text</code>, <code>score</code>, and <code>metadata</code> keys.</p>"},{"location":"api/services/#query","title":"<code>query</code>","text":"<pre><code>def query(\n    self,\n    query_str: str,\n    top_k: int | None = None\n) -&gt; str\n</code></pre> <p>Queries RAG service and returns synthesized response.</p> <p>Parameters: - <code>query_str</code>: Query string - <code>top_k</code>: Number of results to use (defaults to <code>similarity_top_k</code> from constructor)</p> <p>Returns: Synthesized response string.</p> <p>Raises: - <code>ConfigurationError</code>: If no LLM API key is available for query synthesis</p>"},{"location":"api/services/#ingest_documents","title":"<code>ingest_documents</code>","text":"<pre><code>def ingest_documents(self, documents: list[Any]) -&gt; None\n</code></pre> <p>Ingests raw LlamaIndex Documents.</p> <p>Parameters: - <code>documents</code>: List of LlamaIndex Document objects</p>"},{"location":"api/services/#clear_collection","title":"<code>clear_collection</code>","text":"<pre><code>def clear_collection(self) -&gt; None\n</code></pre> <p>Clears all documents from the collection.</p>"},{"location":"api/services/#factory-function_1","title":"Factory Function","text":""},{"location":"api/services/#get_rag_service","title":"<code>get_rag_service</code>","text":"<pre><code>def get_rag_service(\n    collection_name: str = \"deepcritical_evidence\",\n    oauth_token: str | None = None,\n    **kwargs: Any\n) -&gt; LlamaIndexRAGService\n</code></pre> <p>Get or create a RAG service instance.</p> <p>Parameters: - <code>collection_name</code>: Name of the ChromaDB collection (default: \"deepcritical_evidence\") - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (takes priority over env vars) - <code>**kwargs</code>: Additional arguments for LlamaIndexRAGService (e.g., <code>use_openai_embeddings=False</code>)</p> <p>Returns: Configured LlamaIndexRAGService instance.</p> <p>Note: By default, uses local embeddings (sentence-transformers) which require no API keys.</p>"},{"location":"api/services/#statisticalanalyzer","title":"StatisticalAnalyzer","text":"<p>Module: <code>src.services.statistical_analyzer</code></p> <p>Purpose: Secure execution of AI-generated statistical code.</p>"},{"location":"api/services/#methods_2","title":"Methods","text":""},{"location":"api/services/#analyze","title":"<code>analyze</code>","text":"<pre><code>async def analyze(\n    self,\n    query: str,\n    evidence: list[Evidence],\n    hypothesis: dict[str, Any] | None = None\n) -&gt; AnalysisResult\n</code></pre> <p>Analyzes a research question using statistical methods.</p> <p>Parameters: - <code>query</code>: The research question - <code>evidence</code>: List of Evidence objects to analyze - <code>hypothesis</code>: Optional hypothesis dict with <code>drug</code>, <code>target</code>, <code>pathway</code>, <code>effect</code>, <code>confidence</code> keys</p> <p>Returns: <code>AnalysisResult</code> with: - <code>verdict</code>: SUPPORTED, REFUTED, or INCONCLUSIVE - <code>confidence</code>: Confidence in verdict (0.0-1.0) - <code>statistical_evidence</code>: Summary of statistical findings - <code>code_generated</code>: Python code that was executed - <code>execution_output</code>: Output from code execution - <code>key_takeaways</code>: Key takeaways from analysis - <code>limitations</code>: List of limitations</p> <p>Note: Requires Modal credentials for sandbox execution.</p>"},{"location":"api/services/#see-also","title":"See Also","text":"<ul> <li>Architecture - Services - Architecture overview</li> <li>Configuration - Service configuration</li> </ul>"},{"location":"api/tools/","title":"Tools API Reference","text":"<p>This page documents the API for DeepCritical search tools.</p>"},{"location":"api/tools/#searchtool-protocol","title":"SearchTool Protocol","text":"<p>All tools implement the <code>SearchTool</code> protocol:</p> <pre><code>class SearchTool(Protocol):\n    @property\n    def name(self) -&gt; str: ...\n    \n    async def search(\n        self, \n        query: str, \n        max_results: int = 10\n    ) -&gt; list[Evidence]: ...\n</code></pre>"},{"location":"api/tools/#pubmedtool","title":"PubMedTool","text":"<p>Module: <code>src.tools.pubmed</code></p> <p>Purpose: Search peer-reviewed biomedical literature from PubMed.</p>"},{"location":"api/tools/#properties","title":"Properties","text":""},{"location":"api/tools/#name","title":"<code>name</code>","text":"<pre><code>@property\ndef name(self) -&gt; str\n</code></pre> <p>Returns tool name: <code>\"pubmed\"</code></p>"},{"location":"api/tools/#methods","title":"Methods","text":""},{"location":"api/tools/#search","title":"<code>search</code>","text":"<pre><code>async def search(\n    self,\n    query: str,\n    max_results: int = 10\n) -&gt; list[Evidence]\n</code></pre> <p>Searches PubMed for articles.</p> <p>Parameters: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p>Returns: List of <code>Evidence</code> objects with PubMed articles.</p> <p>Raises: - <code>SearchError</code>: If search fails (timeout, HTTP error, XML parsing error) - <code>RateLimitError</code>: If rate limit is exceeded (429 status code)</p> <p>Note: Uses NCBI E-utilities (ESearch \u2192 EFetch). Rate limit: 0.34s between requests. Handles single vs. multiple articles.</p>"},{"location":"api/tools/#clinicaltrialstool","title":"ClinicalTrialsTool","text":"<p>Module: <code>src.tools.clinicaltrials</code></p> <p>Purpose: Search ClinicalTrials.gov for interventional studies.</p>"},{"location":"api/tools/#properties_1","title":"Properties","text":""},{"location":"api/tools/#name_1","title":"<code>name</code>","text":"<pre><code>@property\ndef name(self) -&gt; str\n</code></pre> <p>Returns tool name: <code>\"clinicaltrials\"</code></p>"},{"location":"api/tools/#methods_1","title":"Methods","text":""},{"location":"api/tools/#search_1","title":"<code>search</code>","text":"<pre><code>async def search(\n    self,\n    query: str,\n    max_results: int = 10\n) -&gt; list[Evidence]\n</code></pre> <p>Searches ClinicalTrials.gov for trials.</p> <p>Parameters: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p>Returns: List of <code>Evidence</code> objects with clinical trials.</p> <p>Note: Only returns interventional studies with status: COMPLETED, ACTIVE_NOT_RECRUITING, RECRUITING, ENROLLING_BY_INVITATION. Uses <code>requests</code> library (NOT httpx - WAF blocks httpx). Runs in thread pool for async compatibility.</p> <p>Raises: - <code>SearchError</code>: If search fails (HTTP error, request exception)</p>"},{"location":"api/tools/#europepmctool","title":"EuropePMCTool","text":"<p>Module: <code>src.tools.europepmc</code></p> <p>Purpose: Search Europe PMC for preprints and peer-reviewed articles.</p>"},{"location":"api/tools/#properties_2","title":"Properties","text":""},{"location":"api/tools/#name_2","title":"<code>name</code>","text":"<pre><code>@property\ndef name(self) -&gt; str\n</code></pre> <p>Returns tool name: <code>\"europepmc\"</code></p>"},{"location":"api/tools/#methods_2","title":"Methods","text":""},{"location":"api/tools/#search_2","title":"<code>search</code>","text":"<pre><code>async def search(\n    self,\n    query: str,\n    max_results: int = 10\n) -&gt; list[Evidence]\n</code></pre> <p>Searches Europe PMC for articles and preprints.</p> <p>Parameters: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p>Returns: List of <code>Evidence</code> objects with articles/preprints.</p> <p>Note: Includes both preprints (marked with <code>[PREPRINT - Not peer-reviewed]</code>) and peer-reviewed articles. Handles preprint markers. Builds URLs from DOI or PMID.</p> <p>Raises: - <code>SearchError</code>: If search fails (HTTP error, connection error)</p>"},{"location":"api/tools/#ragtool","title":"RAGTool","text":"<p>Module: <code>src.tools.rag_tool</code></p> <p>Purpose: Semantic search within collected evidence.</p>"},{"location":"api/tools/#initialization","title":"Initialization","text":"<pre><code>def __init__(\n    self,\n    rag_service: LlamaIndexRAGService | None = None,\n    oauth_token: str | None = None\n) -&gt; None\n</code></pre> <p>Parameters: - <code>rag_service</code>: Optional RAG service instance. If None, will be lazy-initialized. - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p>"},{"location":"api/tools/#properties_3","title":"Properties","text":""},{"location":"api/tools/#name_3","title":"<code>name</code>","text":"<pre><code>@property\ndef name(self) -&gt; str\n</code></pre> <p>Returns tool name: <code>\"rag\"</code></p>"},{"location":"api/tools/#methods_3","title":"Methods","text":""},{"location":"api/tools/#search_3","title":"<code>search</code>","text":"<pre><code>async def search(\n    self,\n    query: str,\n    max_results: int = 10\n) -&gt; list[Evidence]\n</code></pre> <p>Searches collected evidence using semantic similarity.</p> <p>Parameters: - <code>query</code>: Search query string - <code>max_results</code>: Maximum number of results to return (default: 10)</p> <p>Returns: List of <code>Evidence</code> objects from collected evidence.</p> <p>Raises: - <code>ConfigurationError</code>: If RAG service is unavailable</p> <p>Note: Requires evidence to be ingested into RAG service first. Wraps <code>LlamaIndexRAGService</code>. Returns Evidence from RAG results.</p>"},{"location":"api/tools/#searchhandler","title":"SearchHandler","text":"<p>Module: <code>src.tools.search_handler</code></p> <p>Purpose: Orchestrates parallel searches across multiple tools.</p>"},{"location":"api/tools/#initialization_1","title":"Initialization","text":"<pre><code>def __init__(\n    self,\n    tools: list[SearchTool],\n    timeout: float = 30.0,\n    include_rag: bool = False,\n    auto_ingest_to_rag: bool = True,\n    oauth_token: str | None = None\n) -&gt; None\n</code></pre> <p>Parameters: - <code>tools</code>: List of search tools to use - <code>timeout</code>: Timeout for each search in seconds (default: 30.0) - <code>include_rag</code>: Whether to include RAG tool in searches (default: False) - <code>auto_ingest_to_rag</code>: Whether to automatically ingest results into RAG (default: True) - <code>oauth_token</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p>"},{"location":"api/tools/#methods_4","title":"Methods","text":""},{"location":"api/tools/#execute","title":"<code>execute</code>","text":"<p>Searches multiple tools in parallel.</p> <p>Parameters: - <code>query</code>: Search query string - <code>max_results_per_tool</code>: Maximum results per tool (default: 10)</p> <p>Returns: <code>SearchResult</code> with: - <code>query</code>: The search query - <code>evidence</code>: Aggregated list of evidence - <code>sources_searched</code>: List of source names searched - <code>total_found</code>: Total number of results - <code>errors</code>: List of error messages from failed tools</p> <p>Raises: - <code>SearchError</code>: If search times out</p> <p>Note: Uses <code>asyncio.gather()</code> for parallel execution. Handles tool failures gracefully (returns errors in <code>SearchResult.errors</code>). Automatically ingests evidence into RAG if enabled.</p>"},{"location":"api/tools/#see-also","title":"See Also","text":"<ul> <li>Architecture - Tools - Architecture overview</li> <li>Models API - Data models used by tools</li> </ul>"},{"location":"architecture/agents/","title":"Agents Architecture","text":"<p>DeepCritical uses Pydantic AI agents for all AI-powered operations. All agents follow a consistent pattern and use structured output types.</p>"},{"location":"architecture/agents/#agent-pattern","title":"Agent Pattern","text":""},{"location":"architecture/agents/#pydantic-ai-agents","title":"Pydantic AI Agents","text":"<p>Pydantic AI agents use the <code>Agent</code> class with the following structure:</p> <ul> <li>System Prompt: Module-level constant with date injection</li> <li>Agent Class: <code>__init__(model: Any | None = None)</code></li> <li>Main Method: Async method (e.g., <code>async def evaluate()</code>, <code>async def write_report()</code>)</li> <li>Factory Function: <code>def create_agent_name(model: Any | None = None, oauth_token: str | None = None) -&gt; AgentName</code></li> </ul> <p>Note: Factory functions accept an optional <code>oauth_token</code> parameter for HuggingFace authentication, which takes priority over environment variables.</p>"},{"location":"architecture/agents/#model-initialization","title":"Model Initialization","text":"<p>Agents use <code>get_model()</code> from <code>src/agent_factory/judges.py</code> if no model is provided. This supports:</p> <ul> <li>OpenAI models</li> <li>Anthropic models</li> <li>HuggingFace Inference API models</li> </ul> <p>The model selection is based on the configured <code>LLM_PROVIDER</code> in settings.</p>"},{"location":"architecture/agents/#error-handling","title":"Error Handling","text":"<p>Agents return fallback values on failure rather than raising exceptions:</p> <ul> <li><code>KnowledgeGapOutput(research_complete=False, outstanding_gaps=[...])</code></li> <li>Empty strings for text outputs</li> <li>Default structured outputs</li> </ul> <p>All errors are logged with context using structlog.</p>"},{"location":"architecture/agents/#input-validation","title":"Input Validation","text":"<p>All agents validate inputs:</p> <ul> <li>Check that queries/inputs are not empty</li> <li>Truncate very long inputs with warnings</li> <li>Handle None values gracefully</li> </ul>"},{"location":"architecture/agents/#output-types","title":"Output Types","text":"<p>Agents use structured output types from <code>src/utils/models.py</code>:</p> <ul> <li><code>KnowledgeGapOutput</code>: Research completeness evaluation</li> <li><code>AgentSelectionPlan</code>: Tool selection plan</li> <li><code>ReportDraft</code>: Long-form report structure</li> <li><code>ParsedQuery</code>: Query parsing and mode detection</li> </ul> <p>For text output (writer agents), agents return <code>str</code> directly.</p>"},{"location":"architecture/agents/#agent-types","title":"Agent Types","text":""},{"location":"architecture/agents/#knowledge-gap-agent","title":"Knowledge Gap Agent","text":"<p>File: <code>src/agents/knowledge_gap.py</code></p> <p>Purpose: Evaluates research state and identifies knowledge gaps.</p> <p>Output: <code>KnowledgeGapOutput</code> with: - <code>research_complete</code>: Boolean indicating if research is complete - <code>outstanding_gaps</code>: List of remaining knowledge gaps</p> <p>Methods: - <code>async def evaluate(query, background_context, conversation_history, iteration, time_elapsed_minutes, max_time_minutes) -&gt; KnowledgeGapOutput</code></p>"},{"location":"architecture/agents/#tool-selector-agent","title":"Tool Selector Agent","text":"<p>File: <code>src/agents/tool_selector.py</code></p> <p>Purpose: Selects appropriate tools for addressing knowledge gaps.</p> <p>Output: <code>AgentSelectionPlan</code> with list of <code>AgentTask</code> objects.</p> <p>Available Agents: - <code>WebSearchAgent</code>: General web search for fresh information - <code>SiteCrawlerAgent</code>: Research specific entities/companies - <code>RAGAgent</code>: Semantic search within collected evidence</p>"},{"location":"architecture/agents/#writer-agent","title":"Writer Agent","text":"<p>File: <code>src/agents/writer.py</code></p> <p>Purpose: Generates final reports from research findings.</p> <p>Output: Markdown string with numbered citations.</p> <p>Methods: - <code>async def write_report(query, findings, output_length, output_instructions) -&gt; str</code></p> <p>Features: - Validates inputs - Truncates very long findings (max 50000 chars) with warning - Retry logic for transient failures (3 retries) - Citation validation before returning</p>"},{"location":"architecture/agents/#long-writer-agent","title":"Long Writer Agent","text":"<p>File: <code>src/agents/long_writer.py</code></p> <p>Purpose: Long-form report generation with section-by-section writing.</p> <p>Input/Output: Uses <code>ReportDraft</code> models.</p> <p>Methods: - <code>async def write_next_section(query, draft, section_title, section_content) -&gt; LongWriterOutput</code> - <code>async def write_report(query, report_title, report_draft) -&gt; str</code></p> <p>Features: - Writes sections iteratively - Aggregates references across sections - Reformats section headings and references - Deduplicates and renumbers references</p>"},{"location":"architecture/agents/#proofreader-agent","title":"Proofreader Agent","text":"<p>File: <code>src/agents/proofreader.py</code></p> <p>Purpose: Proofreads and polishes report drafts.</p> <p>Input: <code>ReportDraft</code> Output: Polished markdown string</p> <p>Methods: - <code>async def proofread(query, report_title, report_draft) -&gt; str</code></p> <p>Features: - Removes duplicate content across sections - Adds executive summary if multiple sections - Preserves all references and citations - Improves flow and readability</p>"},{"location":"architecture/agents/#thinking-agent","title":"Thinking Agent","text":"<p>File: <code>src/agents/thinking.py</code></p> <p>Purpose: Generates observations from conversation history.</p> <p>Output: Observation string</p> <p>Methods: - <code>async def generate_observations(query, background_context, conversation_history) -&gt; str</code></p>"},{"location":"architecture/agents/#input-parser-agent","title":"Input Parser Agent","text":"<p>File: <code>src/agents/input_parser.py</code></p> <p>Purpose: Parses and improves user queries, detects research mode.</p> <p>Output: <code>ParsedQuery</code> with: - <code>original_query</code>: Original query string - <code>improved_query</code>: Refined query string - <code>research_mode</code>: \"iterative\" or \"deep\" - <code>key_entities</code>: List of key entities - <code>research_questions</code>: List of research questions</p>"},{"location":"architecture/agents/#magentic-agents","title":"Magentic Agents","text":"<p>The following agents use the <code>BaseAgent</code> pattern from <code>agent-framework</code> and are used exclusively with <code>MagenticOrchestrator</code>:</p>"},{"location":"architecture/agents/#hypothesis-agent","title":"Hypothesis Agent","text":"<p>File: <code>src/agents/hypothesis_agent.py</code></p> <p>Purpose: Generates mechanistic hypotheses based on evidence.</p> <p>Pattern: <code>BaseAgent</code> from <code>agent-framework</code></p> <p>Methods: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p>Features: - Uses internal Pydantic AI <code>Agent</code> with <code>HypothesisAssessment</code> output type - Accesses shared <code>evidence_store</code> for evidence - Uses embedding service for diverse evidence selection (MMR algorithm) - Stores hypotheses in shared context</p>"},{"location":"architecture/agents/#search-agent","title":"Search Agent","text":"<p>File: <code>src/agents/search_agent.py</code></p> <p>Purpose: Wraps <code>SearchHandler</code> as an agent for Magentic orchestrator.</p> <p>Pattern: <code>BaseAgent</code> from <code>agent-framework</code></p> <p>Methods: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p>Features: - Executes searches via <code>SearchHandlerProtocol</code> - Deduplicates evidence using embedding service - Searches for semantically related evidence - Updates shared evidence store</p>"},{"location":"architecture/agents/#analysis-agent","title":"Analysis Agent","text":"<p>File: <code>src/agents/analysis_agent.py</code></p> <p>Purpose: Performs statistical analysis using Modal sandbox.</p> <p>Pattern: <code>BaseAgent</code> from <code>agent-framework</code></p> <p>Methods: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p>Features: - Wraps <code>StatisticalAnalyzer</code> service - Analyzes evidence and hypotheses - Returns verdict (SUPPORTED/REFUTED/INCONCLUSIVE) - Stores analysis results in shared context</p>"},{"location":"architecture/agents/#report-agent-magentic","title":"Report Agent (Magentic)","text":"<p>File: <code>src/agents/report_agent.py</code></p> <p>Purpose: Generates structured scientific reports from evidence and hypotheses.</p> <p>Pattern: <code>BaseAgent</code> from <code>agent-framework</code></p> <p>Methods: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></p> <p>Features: - Uses internal Pydantic AI <code>Agent</code> with <code>ResearchReport</code> output type - Accesses shared evidence store and hypotheses - Validates citations before returning - Formats report as markdown</p>"},{"location":"architecture/agents/#judge-agent","title":"Judge Agent","text":"<p>File: <code>src/agents/judge_agent.py</code></p> <p>Purpose: Evaluates evidence quality and determines if sufficient for synthesis.</p> <p>Pattern: <code>BaseAgent</code> from <code>agent-framework</code></p> <p>Methods: - <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code> - <code>async def run_stream(messages, thread, **kwargs) -&gt; AsyncIterable[AgentRunResponseUpdate]</code></p> <p>Features: - Wraps <code>JudgeHandlerProtocol</code> - Accesses shared evidence store - Returns <code>JudgeAssessment</code> with sufficient flag, confidence, and recommendation</p>"},{"location":"architecture/agents/#agent-patterns","title":"Agent Patterns","text":"<p>DeepCritical uses two distinct agent patterns:</p>"},{"location":"architecture/agents/#1-pydantic-ai-agents-traditional-pattern","title":"1. Pydantic AI Agents (Traditional Pattern)","text":"<p>These agents use the Pydantic AI <code>Agent</code> class directly and are used in iterative and deep research flows:</p> <ul> <li>Pattern: <code>Agent(model, output_type, system_prompt)</code></li> <li>Initialization: <code>__init__(model: Any | None = None)</code></li> <li>Methods: Agent-specific async methods (e.g., <code>async def evaluate()</code>, <code>async def write_report()</code>)</li> <li>Examples: <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>WriterAgent</code>, <code>LongWriterAgent</code>, <code>ProofreaderAgent</code>, <code>ThinkingAgent</code>, <code>InputParserAgent</code></li> </ul>"},{"location":"architecture/agents/#2-magentic-agents-agent-framework-pattern","title":"2. Magentic Agents (Agent-Framework Pattern)","text":"<p>These agents use the <code>BaseAgent</code> class from <code>agent-framework</code> and are used in Magentic orchestrator:</p> <ul> <li>Pattern: <code>BaseAgent</code> from <code>agent-framework</code> with <code>async def run()</code> method</li> <li>Initialization: <code>__init__(evidence_store, embedding_service, ...)</code></li> <li>Methods: <code>async def run(messages, thread, **kwargs) -&gt; AgentRunResponse</code></li> <li>Examples: <code>HypothesisAgent</code>, <code>SearchAgent</code>, <code>AnalysisAgent</code>, <code>ReportAgent</code>, <code>JudgeAgent</code></li> </ul> <p>Note: Magentic agents are used exclusively with the <code>MagenticOrchestrator</code> and follow the agent-framework protocol for multi-agent coordination.</p>"},{"location":"architecture/agents/#factory-functions","title":"Factory Functions","text":"<p>All agents have factory functions in <code>src/agent_factory/agents.py</code>:</p> <p>Factory functions: - Use <code>get_model()</code> if no model provided - Accept <code>oauth_token</code> parameter for HuggingFace authentication - Raise <code>ConfigurationError</code> if creation fails - Log agent creation</p>"},{"location":"architecture/agents/#see-also","title":"See Also","text":"<ul> <li>Orchestrators - How agents are orchestrated</li> <li>API Reference - Agents - API documentation</li> <li>Contributing - Code Style - Development guidelines</li> </ul>"},{"location":"architecture/graph_orchestration/","title":"Graph Orchestration Architecture","text":""},{"location":"architecture/graph_orchestration/#overview","title":"Overview","text":"<p>DeepCritical implements a graph-based orchestration system for research workflows using Pydantic AI agents as nodes. This enables better parallel execution, conditional routing, and state management compared to simple agent chains.</p>"},{"location":"architecture/graph_orchestration/#graph-patterns","title":"Graph Patterns","text":""},{"location":"architecture/graph_orchestration/#iterative-research-graph","title":"Iterative Research Graph","text":"<p>The iterative research graph follows this pattern:</p> <pre><code>[Input] \u2192 [Thinking] \u2192 [Knowledge Gap] \u2192 [Decision: Complete?]\n                                              \u2193 No          \u2193 Yes\n                                    [Tool Selector]    [Writer]\n                                              \u2193\n                                    [Execute Tools] \u2192 [Loop Back]\n</code></pre> <p>Node IDs: <code>thinking</code> \u2192 <code>knowledge_gap</code> \u2192 <code>continue_decision</code> \u2192 <code>tool_selector</code>/<code>writer</code> \u2192 <code>execute_tools</code> \u2192 (loop back to <code>thinking</code>)</p> <p>Special Node Handling: - <code>execute_tools</code>: State node that uses <code>search_handler</code> to execute searches and add evidence to workflow state - <code>continue_decision</code>: Decision node that routes based on <code>research_complete</code> flag from <code>KnowledgeGapOutput</code></p>"},{"location":"architecture/graph_orchestration/#deep-research-graph","title":"Deep Research Graph","text":"<p>The deep research graph follows this pattern:</p> <pre><code>[Input] \u2192 [Planner] \u2192 [Store Plan] \u2192 [Parallel Loops] \u2192 [Collect Drafts] \u2192 [Synthesizer]\n                                        \u2193         \u2193         \u2193\n                                     [Loop1]  [Loop2]  [Loop3]\n</code></pre> <p>Node IDs: <code>planner</code> \u2192 <code>store_plan</code> \u2192 <code>parallel_loops</code> \u2192 <code>collect_drafts</code> \u2192 <code>synthesizer</code></p> <p>Special Node Handling: - <code>planner</code>: Agent node that creates <code>ReportPlan</code> with report outline - <code>store_plan</code>: State node that stores <code>ReportPlan</code> in context for parallel loops - <code>parallel_loops</code>: Parallel node that executes <code>IterativeResearchFlow</code> instances for each section - <code>collect_drafts</code>: State node that collects section drafts from parallel loops - <code>synthesizer</code>: Agent node that calls <code>LongWriterAgent.write_report()</code> directly with <code>ReportDraft</code></p>"},{"location":"architecture/graph_orchestration/#deep-research","title":"Deep Research","text":"<pre><code>\nsequenceDiagram\n    actor User\n    participant GraphOrchestrator\n    participant InputParser\n    participant GraphBuilder\n    participant GraphExecutor\n    participant Agent\n    participant BudgetTracker\n    participant WorkflowState\n\n    User-&gt;&gt;GraphOrchestrator: run(query)\n    GraphOrchestrator-&gt;&gt;InputParser: detect_research_mode(query)\n    InputParser--&gt;&gt;GraphOrchestrator: mode (iterative/deep)\n    GraphOrchestrator-&gt;&gt;GraphBuilder: build_graph(mode)\n    GraphBuilder--&gt;&gt;GraphOrchestrator: ResearchGraph\n    GraphOrchestrator-&gt;&gt;WorkflowState: init_workflow_state()\n    GraphOrchestrator-&gt;&gt;BudgetTracker: create_budget()\n    GraphOrchestrator-&gt;&gt;GraphExecutor: _execute_graph(graph)\n    \n    loop For each node in graph\n        GraphExecutor-&gt;&gt;Agent: execute_node(agent_node)\n        Agent-&gt;&gt;Agent: process_input\n        Agent--&gt;&gt;GraphExecutor: result\n        GraphExecutor-&gt;&gt;WorkflowState: update_state(result)\n        GraphExecutor-&gt;&gt;BudgetTracker: add_tokens(used)\n        GraphExecutor-&gt;&gt;BudgetTracker: check_budget()\n        alt Budget exceeded\n            GraphExecutor-&gt;&gt;GraphOrchestrator: emit(error_event)\n        else Continue\n            GraphExecutor-&gt;&gt;GraphOrchestrator: emit(progress_event)\n        end\n    end\n    \n    GraphOrchestrator-&gt;&gt;User: AsyncGenerator[AgentEvent]\n</code></pre>"},{"location":"architecture/graph_orchestration/#iterative-research","title":"Iterative Research","text":"<pre><code>sequenceDiagram\n    participant IterativeFlow\n    participant ThinkingAgent\n    participant KnowledgeGapAgent\n    participant ToolSelector\n    participant ToolExecutor\n    participant JudgeHandler\n    participant WriterAgent\n\n    IterativeFlow-&gt;&gt;IterativeFlow: run(query)\n    \n    loop Until complete or max_iterations\n        IterativeFlow-&gt;&gt;ThinkingAgent: generate_observations()\n        ThinkingAgent--&gt;&gt;IterativeFlow: observations\n        \n        IterativeFlow-&gt;&gt;KnowledgeGapAgent: evaluate_gaps()\n        KnowledgeGapAgent--&gt;&gt;IterativeFlow: KnowledgeGapOutput\n        \n        alt Research complete\n            IterativeFlow-&gt;&gt;WriterAgent: create_final_report()\n            WriterAgent--&gt;&gt;IterativeFlow: final_report\n        else Gaps remain\n            IterativeFlow-&gt;&gt;ToolSelector: select_agents(gap)\n            ToolSelector--&gt;&gt;IterativeFlow: AgentSelectionPlan\n            \n            IterativeFlow-&gt;&gt;ToolExecutor: execute_tool_tasks()\n            ToolExecutor--&gt;&gt;IterativeFlow: ToolAgentOutput[]\n            \n            IterativeFlow-&gt;&gt;JudgeHandler: assess_evidence()\n            JudgeHandler--&gt;&gt;IterativeFlow: should_continue\n        end\n    end</code></pre>"},{"location":"architecture/graph_orchestration/#graph-structure","title":"Graph Structure","text":""},{"location":"architecture/graph_orchestration/#nodes","title":"Nodes","text":"<p>Graph nodes represent different stages in the research workflow:</p> <ol> <li>Agent Nodes: Execute Pydantic AI agents</li> <li>Input: Prompt/query</li> <li>Output: Structured or unstructured response</li> <li> <p>Examples: <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>ThinkingAgent</code></p> </li> <li> <p>State Nodes: Update or read workflow state</p> </li> <li>Input: Current state</li> <li>Output: Updated state</li> <li> <p>Examples: Update evidence, update conversation history</p> </li> <li> <p>Decision Nodes: Make routing decisions based on conditions</p> </li> <li>Input: Current state/results</li> <li>Output: Next node ID</li> <li> <p>Examples: Continue research vs. complete research</p> </li> <li> <p>Parallel Nodes: Execute multiple nodes concurrently</p> </li> <li>Input: List of node IDs</li> <li>Output: Aggregated results</li> <li>Examples: Parallel iterative research loops</li> </ol>"},{"location":"architecture/graph_orchestration/#edges","title":"Edges","text":"<p>Edges define transitions between nodes:</p> <ol> <li>Sequential Edges: Always traversed (no condition)</li> <li>From: Source node</li> <li>To: Target node</li> <li> <p>Condition: None (always True)</p> </li> <li> <p>Conditional Edges: Traversed based on condition</p> </li> <li>From: Source node</li> <li>To: Target node</li> <li>Condition: Callable that returns bool</li> <li> <p>Example: If research complete \u2192 go to writer, else \u2192 continue loop</p> </li> <li> <p>Parallel Edges: Used for parallel execution branches</p> </li> <li>From: Parallel node</li> <li>To: Multiple target nodes</li> <li>Execution: All targets run concurrently</li> </ol>"},{"location":"architecture/graph_orchestration/#state-management","title":"State Management","text":"<p>State is managed via <code>WorkflowState</code> using <code>ContextVar</code> for thread-safe isolation:</p> <ul> <li>Evidence: Collected evidence from searches</li> <li>Conversation: Iteration history (gaps, tool calls, findings, thoughts)</li> <li>Embedding Service: For semantic search</li> </ul> <p>State transitions occur at state nodes, which update the global workflow state.</p>"},{"location":"architecture/graph_orchestration/#execution-flow","title":"Execution Flow","text":"<ol> <li>Graph Construction: Build graph from nodes and edges using <code>create_iterative_graph()</code> or <code>create_deep_graph()</code></li> <li>Graph Validation: Ensure graph is valid (no cycles, all nodes reachable) via <code>ResearchGraph.validate_structure()</code></li> <li>Graph Execution: Traverse graph from entry node using <code>GraphOrchestrator._execute_graph()</code></li> <li>Node Execution: Execute each node based on type:</li> <li>Agent Nodes: Call <code>agent.run()</code> with transformed input</li> <li>State Nodes: Update workflow state via <code>state_updater</code> function</li> <li>Decision Nodes: Evaluate <code>decision_function</code> to get next node ID</li> <li>Parallel Nodes: Execute all parallel nodes concurrently via <code>asyncio.gather()</code></li> <li>Edge Evaluation: Determine next node(s) based on edges and conditions</li> <li>Parallel Execution: Use <code>asyncio.gather()</code> for parallel nodes</li> <li>State Updates: Update state at state nodes via <code>GraphExecutionContext.update_state()</code></li> <li>Event Streaming: Yield <code>AgentEvent</code> objects during execution for UI</li> </ol>"},{"location":"architecture/graph_orchestration/#graphexecutioncontext","title":"GraphExecutionContext","text":"<p>The <code>GraphExecutionContext</code> class manages execution state during graph traversal:</p> <ul> <li>State: Current <code>WorkflowState</code> instance</li> <li>Budget Tracker: <code>BudgetTracker</code> instance for budget enforcement</li> <li>Node Results: Dictionary storing results from each node execution</li> <li>Visited Nodes: Set of node IDs that have been executed</li> <li>Current Node: ID of the node currently being executed</li> </ul> <p>Methods: - <code>set_node_result(node_id, result)</code>: Store result from node execution - <code>get_node_result(node_id)</code>: Retrieve stored result - <code>has_visited(node_id)</code>: Check if node was visited - <code>mark_visited(node_id)</code>: Mark node as visited - <code>update_state(updater, data)</code>: Update workflow state</p>"},{"location":"architecture/graph_orchestration/#conditional-routing","title":"Conditional Routing","text":"<p>Decision nodes evaluate conditions and return next node IDs:</p> <ul> <li>Knowledge Gap Decision: If <code>research_complete</code> \u2192 writer, else \u2192 tool selector</li> <li>Budget Decision: If budget exceeded \u2192 exit, else \u2192 continue</li> <li>Iteration Decision: If max iterations \u2192 exit, else \u2192 continue</li> </ul>"},{"location":"architecture/graph_orchestration/#parallel-execution","title":"Parallel Execution","text":"<p>Parallel nodes execute multiple nodes concurrently:</p> <ul> <li>Each parallel branch runs independently</li> <li>Results are aggregated after all branches complete</li> <li>State is synchronized after parallel execution</li> <li>Errors in one branch don't stop other branches</li> </ul>"},{"location":"architecture/graph_orchestration/#budget-enforcement","title":"Budget Enforcement","text":"<p>Budget constraints are enforced at decision nodes:</p> <ul> <li>Token Budget: Track LLM token usage</li> <li>Time Budget: Track elapsed time</li> <li>Iteration Budget: Track iteration count</li> </ul> <p>If any budget is exceeded, execution routes to exit node.</p>"},{"location":"architecture/graph_orchestration/#error-handling","title":"Error Handling","text":"<p>Errors are handled at multiple levels:</p> <ol> <li>Node Level: Catch errors in individual node execution</li> <li>Graph Level: Handle errors during graph traversal</li> <li>State Level: Rollback state changes on error</li> </ol> <p>Errors are logged and yield error events for UI.</p>"},{"location":"architecture/graph_orchestration/#backward-compatibility","title":"Backward Compatibility","text":"<p>Graph execution is optional via feature flag:</p> <ul> <li><code>USE_GRAPH_EXECUTION=true</code>: Use graph-based execution</li> <li><code>USE_GRAPH_EXECUTION=false</code>: Use agent chain execution (existing)</li> </ul> <p>This allows gradual migration and fallback if needed.</p>"},{"location":"architecture/graph_orchestration/#see-also","title":"See Also","text":"<ul> <li>Orchestrators - Overview of all orchestrator patterns</li> <li>Workflow Diagrams - Detailed workflow diagrams</li> <li>API Reference - Orchestrators - API documentation</li> </ul>"},{"location":"architecture/middleware/","title":"Middleware Architecture","text":"<p>DeepCritical uses middleware for state management, budget tracking, and workflow coordination.</p>"},{"location":"architecture/middleware/#state-management","title":"State Management","text":""},{"location":"architecture/middleware/#workflowstate","title":"WorkflowState","text":"<p>File: <code>src/middleware/state_machine.py</code></p> <p>Purpose: Thread-safe state management for research workflows</p> <p>Implementation: Uses <code>ContextVar</code> for thread-safe isolation</p> <p>State Components: - <code>evidence: list[Evidence]</code>: Collected evidence from searches - <code>conversation: Conversation</code>: Iteration history (gaps, tool calls, findings, thoughts) - <code>embedding_service: Any</code>: Embedding service for semantic search</p> <p>Methods: - <code>add_evidence(new_evidence: list[Evidence]) -&gt; int</code>: Adds evidence with URL-based deduplication. Returns the number of new items added (excluding duplicates). - <code>async search_related(query: str, n_results: int = 5) -&gt; list[Evidence]</code>: Semantic search for related evidence using embedding service</p> <p>Initialization:</p> <p>Access:</p>"},{"location":"architecture/middleware/#workflow-manager","title":"Workflow Manager","text":"<p>File: <code>src/middleware/workflow_manager.py</code></p> <p>Purpose: Coordinates parallel research loops</p> <p>Methods: - <code>async add_loop(loop_id: str, query: str) -&gt; ResearchLoop</code>: Add a new research loop to manage - <code>async run_loops_parallel(loop_configs: list[dict], loop_func: Callable, judge_handler: Any | None = None, budget_tracker: Any | None = None) -&gt; list[Any]</code>: Run multiple research loops in parallel. Takes configuration dicts and a loop function. - <code>async update_loop_status(loop_id: str, status: LoopStatus, error: str | None = None)</code>: Update loop status - <code>async sync_loop_evidence_to_state(loop_id: str)</code>: Synchronize evidence from a specific loop to global state</p> <p>Features: - Uses <code>asyncio.gather()</code> for parallel execution - Handles errors per loop (doesn't fail all if one fails) - Tracks loop status: <code>pending</code>, <code>running</code>, <code>completed</code>, <code>failed</code>, <code>cancelled</code> - Evidence deduplication across parallel loops</p> <p>Usage: <pre><code>from src.middleware.workflow_manager import WorkflowManager\n\nmanager = WorkflowManager()\nawait manager.add_loop(\"loop1\", \"Research query 1\")\nawait manager.add_loop(\"loop2\", \"Research query 2\")\n\nasync def run_research(config: dict) -&gt; str:\n    loop_id = config[\"loop_id\"]\n    query = config[\"query\"]\n    # ... research logic ...\n    return \"report\"\n\nresults = await manager.run_loops_parallel(\n    loop_configs=[\n        {\"loop_id\": \"loop1\", \"query\": \"Research query 1\"},\n        {\"loop_id\": \"loop2\", \"query\": \"Research query 2\"},\n    ],\n    loop_func=run_research,\n)\n</code></pre></p>"},{"location":"architecture/middleware/#budget-tracker","title":"Budget Tracker","text":"<p>File: <code>src/middleware/budget_tracker.py</code></p> <p>Purpose: Tracks and enforces resource limits</p> <p>Budget Components: - Tokens: LLM token usage - Time: Elapsed time in seconds - Iterations: Number of iterations</p> <p>Methods: - <code>create_budget(loop_id: str, tokens_limit: int = 100000, time_limit_seconds: float = 600.0, iterations_limit: int = 10) -&gt; BudgetStatus</code>: Create a budget for a specific loop - <code>add_tokens(loop_id: str, tokens: int)</code>: Add token usage to a loop's budget - <code>start_timer(loop_id: str)</code>: Start time tracking for a loop - <code>update_timer(loop_id: str)</code>: Update elapsed time for a loop - <code>increment_iteration(loop_id: str)</code>: Increment iteration count for a loop - <code>check_budget(loop_id: str) -&gt; tuple[bool, str]</code>: Check if a loop's budget has been exceeded. Returns (exceeded: bool, reason: str) - <code>can_continue(loop_id: str) -&gt; bool</code>: Check if a loop can continue based on budget</p> <p>Token Estimation: - <code>estimate_tokens(text: str) -&gt; int</code>: ~4 chars per token - <code>estimate_llm_call_tokens(prompt: str, response: str) -&gt; int</code>: Estimate LLM call tokens</p> <p>Usage: <pre><code>from src.middleware.budget_tracker import BudgetTracker\n\ntracker = BudgetTracker()\nbudget = tracker.create_budget(\n    loop_id=\"research_loop\",\n    tokens_limit=100000,\n    time_limit_seconds=600,\n    iterations_limit=10\n)\ntracker.start_timer(\"research_loop\")\n# ... research operations ...\ntracker.add_tokens(\"research_loop\", 5000)\ntracker.update_timer(\"research_loop\")\nexceeded, reason = tracker.check_budget(\"research_loop\")\nif exceeded:\n    # Budget exceeded, stop research\n    pass\nif not tracker.can_continue(\"research_loop\"):\n    # Budget exceeded, stop research\n    pass\n</code></pre></p>"},{"location":"architecture/middleware/#models","title":"Models","text":"<p>All middleware models are defined in <code>src/utils/models.py</code>:</p> <ul> <li><code>IterationData</code>: Data for a single iteration</li> <li><code>Conversation</code>: Conversation history with iterations</li> <li><code>ResearchLoop</code>: Research loop state and configuration</li> <li><code>BudgetStatus</code>: Current budget status</li> </ul>"},{"location":"architecture/middleware/#thread-safety","title":"Thread Safety","text":"<p>All middleware components use <code>ContextVar</code> for thread-safe isolation:</p> <ul> <li>Each request/thread has its own workflow state</li> <li>No global mutable state</li> <li>Safe for concurrent requests</li> </ul>"},{"location":"architecture/middleware/#see-also","title":"See Also","text":"<ul> <li>Orchestrators - How middleware is used in orchestration</li> <li>API Reference - Orchestrators - API documentation</li> <li>Contributing - Code Style - Development guidelines</li> </ul>"},{"location":"architecture/orchestrators/","title":"Orchestrators Architecture","text":"<p>DeepCritical supports multiple orchestration patterns for research workflows.</p>"},{"location":"architecture/orchestrators/#research-flows","title":"Research Flows","text":""},{"location":"architecture/orchestrators/#iterativeresearchflow","title":"IterativeResearchFlow","text":"<p>File: <code>src/orchestrator/research_flow.py</code></p> <p>Pattern: Generate observations \u2192 Evaluate gaps \u2192 Select tools \u2192 Execute \u2192 Judge \u2192 Continue/Complete</p> <p>Agents Used: - <code>KnowledgeGapAgent</code>: Evaluates research completeness - <code>ToolSelectorAgent</code>: Selects tools for addressing gaps - <code>ThinkingAgent</code>: Generates observations - <code>WriterAgent</code>: Creates final report - <code>JudgeHandler</code>: Assesses evidence sufficiency</p> <p>Features: - Tracks iterations, time, budget - Supports graph execution (<code>use_graph=True</code>) and agent chains (<code>use_graph=False</code>) - Iterates until research complete or constraints met</p> <p>Usage:</p>"},{"location":"architecture/orchestrators/#deepresearchflow","title":"DeepResearchFlow","text":"<p>File: <code>src/orchestrator/research_flow.py</code></p> <p>Pattern: Planner \u2192 Parallel iterative loops per section \u2192 Synthesizer</p> <p>Agents Used: - <code>PlannerAgent</code>: Breaks query into report sections - <code>IterativeResearchFlow</code>: Per-section research (parallel) - <code>LongWriterAgent</code> or <code>ProofreaderAgent</code>: Final synthesis</p> <p>Features: - Uses <code>WorkflowManager</code> for parallel execution - Budget tracking per section and globally - State synchronization across parallel loops - Supports graph execution and agent chains</p> <p>Usage:</p>"},{"location":"architecture/orchestrators/#graph-orchestrator","title":"Graph Orchestrator","text":"<p>File: <code>src/orchestrator/graph_orchestrator.py</code></p> <p>Purpose: Graph-based execution using Pydantic AI agents as nodes</p> <p>Features: - Uses graph execution (<code>use_graph=True</code>) or agent chains (<code>use_graph=False</code>) as fallback - Routes based on research mode (iterative/deep/auto) - Streams <code>AgentEvent</code> objects for UI - Uses <code>GraphExecutionContext</code> to manage execution state</p> <p>Node Types: - Agent Nodes: Execute Pydantic AI agents - State Nodes: Update or read workflow state - Decision Nodes: Make routing decisions - Parallel Nodes: Execute multiple nodes concurrently</p> <p>Edge Types: - Sequential Edges: Always traversed - Conditional Edges: Traversed based on condition - Parallel Edges: Used for parallel execution branches</p> <p>Special Node Handling:</p> <p>The <code>GraphOrchestrator</code> has special handling for certain nodes:</p> <ul> <li><code>execute_tools</code> node: State node that uses <code>search_handler</code> to execute searches and add evidence to workflow state</li> <li><code>parallel_loops</code> node: Parallel node that executes <code>IterativeResearchFlow</code> instances for each section in deep research mode</li> <li><code>synthesizer</code> node: Agent node that calls <code>LongWriterAgent.write_report()</code> directly with <code>ReportDraft</code> instead of using <code>agent.run()</code></li> <li><code>writer</code> node: Agent node that calls <code>WriterAgent.write_report()</code> directly with findings instead of using <code>agent.run()</code></li> </ul> <p>GraphExecutionContext:</p> <p>The orchestrator uses <code>GraphExecutionContext</code> to manage execution state: - Tracks current node, visited nodes, and node results - Manages workflow state and budget tracker - Provides methods to store and retrieve node execution results</p>"},{"location":"architecture/orchestrators/#orchestrator-factory","title":"Orchestrator Factory","text":"<p>File: <code>src/orchestrator_factory.py</code></p> <p>Purpose: Factory for creating orchestrators</p> <p>Modes: - Simple: Legacy orchestrator (backward compatible) - Advanced: Magentic orchestrator (requires OpenAI API key) - Auto-detect: Chooses based on API key availability</p> <p>Usage:</p>"},{"location":"architecture/orchestrators/#magentic-orchestrator","title":"Magentic Orchestrator","text":"<p>File: <code>src/orchestrator_magentic.py</code></p> <p>Purpose: Multi-agent coordination using Microsoft Agent Framework</p> <p>Features: - Uses <code>agent-framework-core</code> - ChatAgent pattern with internal LLMs per agent - <code>MagenticBuilder</code> with participants:   - <code>searcher</code>: SearchAgent (wraps SearchHandler)   - <code>hypothesizer</code>: HypothesisAgent (generates hypotheses)   - <code>judge</code>: JudgeAgent (evaluates evidence)   - <code>reporter</code>: ReportAgent (generates final report) - Manager orchestrates agents via chat client (OpenAI or HuggingFace) - Event-driven: converts Magentic events to <code>AgentEvent</code> for UI streaming via <code>_process_event()</code> method - Supports max rounds, stall detection, and reset handling</p> <p>Event Processing:</p> <p>The orchestrator processes Magentic events and converts them to <code>AgentEvent</code>: - <code>MagenticOrchestratorMessageEvent</code> \u2192 <code>AgentEvent</code> with type based on message content - <code>MagenticAgentMessageEvent</code> \u2192 <code>AgentEvent</code> with type based on agent name - <code>MagenticAgentDeltaEvent</code> \u2192 <code>AgentEvent</code> for streaming updates - <code>MagenticFinalResultEvent</code> \u2192 <code>AgentEvent</code> with type \"complete\"</p> <p>Requirements: - <code>agent-framework-core</code> package - OpenAI API key or HuggingFace authentication</p>"},{"location":"architecture/orchestrators/#hierarchical-orchestrator","title":"Hierarchical Orchestrator","text":"<p>File: <code>src/orchestrator_hierarchical.py</code></p> <p>Purpose: Hierarchical orchestrator using middleware and sub-teams</p> <p>Features: - Uses <code>SubIterationMiddleware</code> with <code>ResearchTeam</code> and <code>LLMSubIterationJudge</code> - Adapts Magentic ChatAgent to <code>SubIterationTeam</code> protocol - Event-driven via <code>asyncio.Queue</code> for coordination - Supports sub-iteration patterns for complex research tasks</p>"},{"location":"architecture/orchestrators/#legacy-simple-mode","title":"Legacy Simple Mode","text":"<p>File: <code>src/legacy_orchestrator.py</code></p> <p>Purpose: Linear search-judge-synthesize loop</p> <p>Features: - Uses <code>SearchHandlerProtocol</code> and <code>JudgeHandlerProtocol</code> - Generator-based design yielding <code>AgentEvent</code> objects - Backward compatibility for simple use cases</p>"},{"location":"architecture/orchestrators/#state-initialization","title":"State Initialization","text":"<p>All orchestrators must initialize workflow state:</p>"},{"location":"architecture/orchestrators/#event-streaming","title":"Event Streaming","text":"<p>All orchestrators yield <code>AgentEvent</code> objects:</p> <p>Event Types: - <code>started</code>: Research started - <code>searching</code>: Search in progress - <code>search_complete</code>: Search completed - <code>judging</code>: Evidence evaluation in progress - <code>judge_complete</code>: Evidence evaluation completed - <code>looping</code>: Iteration in progress - <code>hypothesizing</code>: Generating hypotheses - <code>analyzing</code>: Statistical analysis in progress - <code>analysis_complete</code>: Statistical analysis completed - <code>synthesizing</code>: Synthesizing results - <code>complete</code>: Research completed - <code>error</code>: Error occurred - <code>streaming</code>: Streaming update (delta events)</p> <p>Event Structure:</p>"},{"location":"architecture/orchestrators/#see-also","title":"See Also","text":"<ul> <li>Graph Orchestration - Graph-based execution details</li> <li>Workflow Diagrams - Detailed workflow diagrams</li> <li>API Reference - Orchestrators - API documentation</li> </ul>"},{"location":"architecture/services/","title":"Services Architecture","text":"<p>DeepCritical provides several services for embeddings, RAG, and statistical analysis.</p>"},{"location":"architecture/services/#embedding-service","title":"Embedding Service","text":"<p>File: <code>src/services/embeddings.py</code></p> <p>Purpose: Local sentence-transformers for semantic search and deduplication</p> <p>Features: - No API Key Required: Uses local sentence-transformers models - Async-Safe: All operations use <code>run_in_executor()</code> to avoid blocking the event loop - ChromaDB Storage: In-memory vector storage for embeddings - Deduplication: 0.9 similarity threshold by default (90% similarity = duplicate, configurable)</p> <p>Model: Configurable via <code>settings.local_embedding_model</code> (default: <code>all-MiniLM-L6-v2</code>)</p> <p>Methods: - <code>async def embed(text: str) -&gt; list[float]</code>: Generate embeddings (async-safe via <code>run_in_executor()</code>) - <code>async def embed_batch(texts: list[str]) -&gt; list[list[float]]</code>: Batch embedding (more efficient) - <code>async def add_evidence(evidence_id: str, content: str, metadata: dict[str, Any]) -&gt; None</code>: Add evidence to vector store - <code>async def search_similar(query: str, n_results: int = 5) -&gt; list[dict[str, Any]]</code>: Find semantically similar evidence - <code>async def deduplicate(new_evidence: list[Evidence], threshold: float = 0.9) -&gt; list[Evidence]</code>: Remove semantically duplicate evidence</p> <p>Usage: <pre><code>from src.services.embeddings import get_embedding_service\n\nservice = get_embedding_service()\nembedding = await service.embed(\"text to embed\")\n</code></pre></p>"},{"location":"architecture/services/#llamaindex-rag-service","title":"LlamaIndex RAG Service","text":"<p>File: <code>src/services/llamaindex_rag.py</code></p> <p>Purpose: Retrieval-Augmented Generation using LlamaIndex</p> <p>Features: - Multiple Embedding Providers: OpenAI embeddings (requires <code>OPENAI_API_KEY</code>) or local sentence-transformers (no API key) - Multiple LLM Providers: HuggingFace LLM (preferred) or OpenAI LLM (fallback) for query synthesis - ChromaDB Storage: Vector database for document storage (supports in-memory mode) - Metadata Preservation: Preserves source, title, URL, date, authors - Lazy Initialization: Graceful fallback if dependencies not available</p> <p>Initialization Parameters: - <code>use_openai_embeddings: bool | None</code>: Force OpenAI embeddings (None = auto-detect) - <code>use_in_memory: bool</code>: Use in-memory ChromaDB client (useful for tests) - <code>oauth_token: str | None</code>: Optional OAuth token from HuggingFace login (takes priority over env vars)</p> <p>Methods: - <code>async def ingest_evidence(evidence: list[Evidence]) -&gt; None</code>: Ingest evidence into RAG - <code>async def retrieve(query: str, top_k: int = 5) -&gt; list[Document]</code>: Retrieve relevant documents - <code>async def query(query: str, top_k: int = 5) -&gt; str</code>: Query with RAG</p> <p>Usage: <pre><code>from src.services.llamaindex_rag import get_rag_service\n\nservice = get_rag_service(\n    use_openai_embeddings=False,  # Use local embeddings\n    use_in_memory=True,  # Use in-memory ChromaDB\n    oauth_token=token  # Optional HuggingFace token\n)\nif service:\n    documents = await service.retrieve(\"query\", top_k=5)\n</code></pre></p>"},{"location":"architecture/services/#statistical-analyzer","title":"Statistical Analyzer","text":"<p>File: <code>src/services/statistical_analyzer.py</code></p> <p>Purpose: Secure execution of AI-generated statistical code</p> <p>Features: - Modal Sandbox: Secure, isolated execution environment - Code Generation: Generates Python code via LLM - Library Pinning: Version-pinned libraries in <code>SANDBOX_LIBRARIES</code> - Network Isolation: <code>block_network=True</code> by default</p> <p>Libraries Available: - pandas, numpy, scipy - matplotlib, scikit-learn - statsmodels</p> <p>Output: <code>AnalysisResult</code> with: - <code>verdict</code>: SUPPORTED, REFUTED, or INCONCLUSIVE - <code>code</code>: Generated analysis code - <code>output</code>: Execution output - <code>error</code>: Error message if execution failed</p> <p>Usage: <pre><code>from src.services.statistical_analyzer import StatisticalAnalyzer\n\nanalyzer = StatisticalAnalyzer()\nresult = await analyzer.analyze(\n    hypothesis=\"Metformin reduces cancer risk\",\n    evidence=evidence_list\n)\n</code></pre></p>"},{"location":"architecture/services/#singleton-pattern","title":"Singleton Pattern","text":"<p>Services use singleton patterns for lazy initialization:</p> <p>EmbeddingService: Uses a global variable pattern:</p> <p>LlamaIndexRAGService: Direct instantiation (no caching):</p> <p>This ensures: - Single instance per process - Lazy initialization - No dependencies required at import time</p>"},{"location":"architecture/services/#service-availability","title":"Service Availability","text":"<p>Services check availability before use:</p> <pre><code>from src.utils.config import settings\n\nif settings.modal_available:\n    # Use Modal sandbox\n    pass\n\nif settings.has_openai_key:\n    # Use OpenAI embeddings for RAG\n    pass\n</code></pre>"},{"location":"architecture/services/#see-also","title":"See Also","text":"<ul> <li>Tools - How services are used by search tools</li> <li>API Reference - Services - API documentation</li> <li>Configuration - Service configuration</li> </ul>"},{"location":"architecture/tools/","title":"Tools Architecture","text":"<p>DeepCritical implements a protocol-based search tool system for retrieving evidence from multiple sources.</p>"},{"location":"architecture/tools/#searchtool-protocol","title":"SearchTool Protocol","text":"<p>All tools implement the <code>SearchTool</code> protocol from <code>src/tools/base.py</code>:</p>"},{"location":"architecture/tools/#rate-limiting","title":"Rate Limiting","text":"<p>All tools use the <code>@retry</code> decorator from tenacity:</p> <p>Tools with API rate limits implement <code>_rate_limit()</code> method and use shared rate limiters from <code>src/tools/rate_limiter.py</code>.</p>"},{"location":"architecture/tools/#error-handling","title":"Error Handling","text":"<p>Tools raise custom exceptions:</p> <ul> <li><code>SearchError</code>: General search failures</li> <li><code>RateLimitError</code>: Rate limit exceeded</li> </ul> <p>Tools handle HTTP errors (429, 500, timeout) and return empty lists on non-critical errors (with warning logs).</p>"},{"location":"architecture/tools/#query-preprocessing","title":"Query Preprocessing","text":"<p>Tools use <code>preprocess_query()</code> from <code>src/tools/query_utils.py</code> to:</p> <ul> <li>Remove noise from queries</li> <li>Expand synonyms</li> <li>Normalize query format</li> </ul>"},{"location":"architecture/tools/#evidence-conversion","title":"Evidence Conversion","text":"<p>All tools convert API responses to <code>Evidence</code> objects with:</p> <ul> <li><code>Citation</code>: Title, URL, date, authors</li> <li><code>content</code>: Evidence text</li> <li><code>relevance_score</code>: 0.0-1.0 relevance score</li> <li><code>metadata</code>: Additional metadata</li> </ul> <p>Missing fields are handled gracefully with defaults.</p>"},{"location":"architecture/tools/#tool-implementations","title":"Tool Implementations","text":""},{"location":"architecture/tools/#pubmed-tool","title":"PubMed Tool","text":"<p>File: <code>src/tools/pubmed.py</code></p> <p>API: NCBI E-utilities (ESearch \u2192 EFetch)</p> <p>Rate Limiting:  - 0.34s between requests (3 req/sec without API key) - 0.1s between requests (10 req/sec with NCBI API key)</p> <p>Features: - XML parsing with <code>xmltodict</code> - Handles single vs. multiple articles - Query preprocessing - Evidence conversion with metadata extraction</p>"},{"location":"architecture/tools/#clinicaltrials-tool","title":"ClinicalTrials Tool","text":"<p>File: <code>src/tools/clinicaltrials.py</code></p> <p>API: ClinicalTrials.gov API v2</p> <p>Important: Uses <code>requests</code> library (NOT httpx) because WAF blocks httpx TLS fingerprint.</p> <p>Execution: Runs in thread pool: <code>await asyncio.to_thread(requests.get, ...)</code></p> <p>Filtering: - Only interventional studies - Status: <code>COMPLETED</code>, <code>ACTIVE_NOT_RECRUITING</code>, <code>RECRUITING</code>, <code>ENROLLING_BY_INVITATION</code></p> <p>Features: - Parses nested JSON structure - Extracts trial metadata - Evidence conversion</p>"},{"location":"architecture/tools/#europe-pmc-tool","title":"Europe PMC Tool","text":"<p>File: <code>src/tools/europepmc.py</code></p> <p>API: Europe PMC REST API</p> <p>Features: - Handles preprint markers: <code>[PREPRINT - Not peer-reviewed]</code> - Builds URLs from DOI or PMID - Checks <code>pubTypeList</code> for preprint detection - Includes both preprints and peer-reviewed articles</p>"},{"location":"architecture/tools/#rag-tool","title":"RAG Tool","text":"<p>File: <code>src/tools/rag_tool.py</code></p> <p>Purpose: Semantic search within collected evidence</p> <p>Implementation: Wraps <code>LlamaIndexRAGService</code></p> <p>Features: - Returns Evidence from RAG results - Handles evidence ingestion - Semantic similarity search - Metadata preservation</p>"},{"location":"architecture/tools/#search-handler","title":"Search Handler","text":"<p>File: <code>src/tools/search_handler.py</code></p> <p>Purpose: Orchestrates parallel searches across multiple tools</p> <p>Initialization Parameters: - <code>tools: list[SearchTool]</code>: List of search tools to use - <code>timeout: float = 30.0</code>: Timeout for each search in seconds - <code>include_rag: bool = False</code>: Whether to include RAG tool in searches - <code>auto_ingest_to_rag: bool = True</code>: Whether to automatically ingest results into RAG - <code>oauth_token: str | None = None</code>: Optional OAuth token from HuggingFace login (for RAG LLM)</p> <p>Methods: - <code>async def execute(query: str, max_results_per_tool: int = 10) -&gt; SearchResult</code>: Execute search across all tools in parallel</p> <p>Features: - Uses <code>asyncio.gather()</code> with <code>return_exceptions=True</code> for parallel execution - Aggregates results into <code>SearchResult</code> with evidence and metadata - Handles tool failures gracefully (continues with other tools) - Deduplicates results by URL - Automatically ingests results into RAG if <code>auto_ingest_to_rag=True</code> - Can add RAG tool dynamically via <code>add_rag_tool()</code> method</p>"},{"location":"architecture/tools/#tool-registration","title":"Tool Registration","text":"<p>Tools are registered in the search handler:</p> <pre><code>from src.tools.pubmed import PubMedTool\nfrom src.tools.clinicaltrials import ClinicalTrialsTool\nfrom src.tools.europepmc import EuropePMCTool\nfrom src.tools.search_handler import SearchHandler\n\nsearch_handler = SearchHandler(\n    tools=[\n        PubMedTool(),\n        ClinicalTrialsTool(),\n        EuropePMCTool(),\n    ],\n    include_rag=True,  # Include RAG tool for semantic search\n    auto_ingest_to_rag=True,  # Automatically ingest results into RAG\n    oauth_token=token  # Optional HuggingFace token for RAG LLM\n)\n\n# Execute search\nresult = await search_handler.execute(\"query\", max_results_per_tool=10)\n</code></pre>"},{"location":"architecture/tools/#see-also","title":"See Also","text":"<ul> <li>Services - RAG and embedding services</li> <li>API Reference - Tools - API documentation</li> <li>Contributing - Implementation Patterns - Development guidelines</li> </ul>"},{"location":"architecture/workflow-diagrams/","title":"DeepCritical Workflow - Simplified Magentic Architecture","text":"<p>Architecture Pattern: Microsoft Magentic Orchestration Design Philosophy: Simple, dynamic, manager-driven coordination Key Innovation: Intelligent manager replaces rigid sequential phases</p>"},{"location":"architecture/workflow-diagrams/#1-high-level-magentic-workflow","title":"1. High-Level Magentic Workflow","text":"<pre><code>flowchart TD\n    Start([User Query]) --&gt; Manager[Magentic Manager&lt;br/&gt;Plan \u2022 Select \u2022 Assess \u2022 Adapt]\n\n    Manager --&gt;|Plans| Task1[Task Decomposition]\n    Task1 --&gt; Manager\n\n    Manager --&gt;|Selects &amp; Executes| HypAgent[Hypothesis Agent]\n    Manager --&gt;|Selects &amp; Executes| SearchAgent[Search Agent]\n    Manager --&gt;|Selects &amp; Executes| AnalysisAgent[Analysis Agent]\n    Manager --&gt;|Selects &amp; Executes| ReportAgent[Report Agent]\n\n    HypAgent --&gt;|Results| Manager\n    SearchAgent --&gt;|Results| Manager\n    AnalysisAgent --&gt;|Results| Manager\n    ReportAgent --&gt;|Results| Manager\n\n    Manager --&gt;|Assesses Quality| Decision{Good Enough?}\n    Decision --&gt;|No - Refine| Manager\n    Decision --&gt;|No - Different Agent| Manager\n    Decision --&gt;|No - Stalled| Replan[Reset Plan]\n    Replan --&gt; Manager\n\n    Decision --&gt;|Yes| Synthesis[Synthesize Final Result]\n    Synthesis --&gt; Output([Research Report])\n\n    style Start fill:#e1f5e1\n    style Manager fill:#ffe6e6\n    style HypAgent fill:#fff4e6\n    style SearchAgent fill:#fff4e6\n    style AnalysisAgent fill:#fff4e6\n    style ReportAgent fill:#fff4e6\n    style Decision fill:#ffd6d6\n    style Synthesis fill:#d4edda\n    style Output fill:#e1f5e1</code></pre>"},{"location":"architecture/workflow-diagrams/#2-magentic-manager-the-6-phase-cycle","title":"2. Magentic Manager: The 6-Phase Cycle","text":"<pre><code>flowchart LR\n    P1[1. Planning&lt;br/&gt;Analyze task&lt;br/&gt;Create strategy] --&gt; P2[2. Agent Selection&lt;br/&gt;Pick best agent&lt;br/&gt;for subtask]\n    P2 --&gt; P3[3. Execution&lt;br/&gt;Run selected&lt;br/&gt;agent with tools]\n    P3 --&gt; P4[4. Assessment&lt;br/&gt;Evaluate quality&lt;br/&gt;Check progress]\n    P4 --&gt; Decision{Quality OK?&lt;br/&gt;Progress made?}\n    Decision --&gt;|Yes| P6[6. Synthesis&lt;br/&gt;Combine results&lt;br/&gt;Generate report]\n    Decision --&gt;|No| P5[5. Iteration&lt;br/&gt;Adjust plan&lt;br/&gt;Try again]\n    P5 --&gt; P2\n    P6 --&gt; Done([Complete])\n\n    style P1 fill:#fff4e6\n    style P2 fill:#ffe6e6\n    style P3 fill:#e6f3ff\n    style P4 fill:#ffd6d6\n    style P5 fill:#fff3cd\n    style P6 fill:#d4edda\n    style Done fill:#e1f5e1</code></pre>"},{"location":"architecture/workflow-diagrams/#3-simplified-agent-architecture","title":"3. Simplified Agent Architecture","text":"<pre><code>graph TB\n    subgraph \"Orchestration Layer\"\n        Manager[Magentic Manager&lt;br/&gt;\u2022 Plans workflow&lt;br/&gt;\u2022 Selects agents&lt;br/&gt;\u2022 Assesses quality&lt;br/&gt;\u2022 Adapts strategy]\n        SharedContext[(Shared Context&lt;br/&gt;\u2022 Hypotheses&lt;br/&gt;\u2022 Search Results&lt;br/&gt;\u2022 Analysis&lt;br/&gt;\u2022 Progress)]\n        Manager &lt;--&gt; SharedContext\n    end\n\n    subgraph \"Specialist Agents\"\n        HypAgent[Hypothesis Agent&lt;br/&gt;\u2022 Domain understanding&lt;br/&gt;\u2022 Hypothesis generation&lt;br/&gt;\u2022 Testability refinement]\n        SearchAgent[Search Agent&lt;br/&gt;\u2022 Multi-source search&lt;br/&gt;\u2022 RAG retrieval&lt;br/&gt;\u2022 Result ranking]\n        AnalysisAgent[Analysis Agent&lt;br/&gt;\u2022 Evidence extraction&lt;br/&gt;\u2022 Statistical analysis&lt;br/&gt;\u2022 Code execution]\n        ReportAgent[Report Agent&lt;br/&gt;\u2022 Report assembly&lt;br/&gt;\u2022 Visualization&lt;br/&gt;\u2022 Citation formatting]\n    end\n\n    subgraph \"MCP Tools\"\n        WebSearch[Web Search&lt;br/&gt;PubMed \u2022 arXiv \u2022 bioRxiv]\n        CodeExec[Code Execution&lt;br/&gt;Sandboxed Python]\n        RAG[RAG Retrieval&lt;br/&gt;Vector DB \u2022 Embeddings]\n        Viz[Visualization&lt;br/&gt;Charts \u2022 Graphs]\n    end\n\n    Manager --&gt;|Selects &amp; Directs| HypAgent\n    Manager --&gt;|Selects &amp; Directs| SearchAgent\n    Manager --&gt;|Selects &amp; Directs| AnalysisAgent\n    Manager --&gt;|Selects &amp; Directs| ReportAgent\n\n    HypAgent --&gt; SharedContext\n    SearchAgent --&gt; SharedContext\n    AnalysisAgent --&gt; SharedContext\n    ReportAgent --&gt; SharedContext\n\n    SearchAgent --&gt; WebSearch\n    SearchAgent --&gt; RAG\n    AnalysisAgent --&gt; CodeExec\n    ReportAgent --&gt; CodeExec\n    ReportAgent --&gt; Viz\n\n    style Manager fill:#ffe6e6\n    style SharedContext fill:#ffe6f0\n    style HypAgent fill:#fff4e6\n    style SearchAgent fill:#fff4e6\n    style AnalysisAgent fill:#fff4e6\n    style ReportAgent fill:#fff4e6\n    style WebSearch fill:#e6f3ff\n    style CodeExec fill:#e6f3ff\n    style RAG fill:#e6f3ff\n    style Viz fill:#e6f3ff</code></pre>"},{"location":"architecture/workflow-diagrams/#4-dynamic-workflow-example","title":"4. Dynamic Workflow Example","text":"<pre><code>sequenceDiagram\n    participant User\n    participant Manager\n    participant HypAgent\n    participant SearchAgent\n    participant AnalysisAgent\n    participant ReportAgent\n\n    User-&gt;&gt;Manager: \"Research protein folding in Alzheimer's\"\n\n    Note over Manager: PLAN: Generate hypotheses \u2192 Search \u2192 Analyze \u2192 Report\n\n    Manager-&gt;&gt;HypAgent: Generate 3 hypotheses\n    HypAgent--&gt;&gt;Manager: Returns 3 hypotheses\n    Note over Manager: ASSESS: Good quality, proceed\n\n    Manager-&gt;&gt;SearchAgent: Search literature for hypothesis 1\n    SearchAgent--&gt;&gt;Manager: Returns 15 papers\n    Note over Manager: ASSESS: Good results, continue\n\n    Manager-&gt;&gt;SearchAgent: Search for hypothesis 2\n    SearchAgent--&gt;&gt;Manager: Only 2 papers found\n    Note over Manager: ASSESS: Insufficient, refine search\n\n    Manager-&gt;&gt;SearchAgent: Refined query for hypothesis 2\n    SearchAgent--&gt;&gt;Manager: Returns 12 papers\n    Note over Manager: ASSESS: Better, proceed\n\n    Manager-&gt;&gt;AnalysisAgent: Analyze evidence for all hypotheses\n    AnalysisAgent--&gt;&gt;Manager: Returns analysis with code\n    Note over Manager: ASSESS: Complete, generate report\n\n    Manager-&gt;&gt;ReportAgent: Create comprehensive report\n    ReportAgent--&gt;&gt;Manager: Returns formatted report\n    Note over Manager: SYNTHESIZE: Combine all results\n\n    Manager-&gt;&gt;User: Final Research Report</code></pre>"},{"location":"architecture/workflow-diagrams/#5-manager-decision-logic","title":"5. Manager Decision Logic","text":"<pre><code>flowchart TD\n    Start([Manager Receives Task]) --&gt; Plan[Create Initial Plan]\n\n    Plan --&gt; Select[Select Agent for Next Subtask]\n    Select --&gt; Execute[Execute Agent]\n    Execute --&gt; Collect[Collect Results]\n\n    Collect --&gt; Assess[Assess Quality &amp; Progress]\n\n    Assess --&gt; Q1{Quality Sufficient?}\n    Q1 --&gt;|No| Q2{Same Agent Can Fix?}\n    Q2 --&gt;|Yes| Feedback[Provide Specific Feedback]\n    Feedback --&gt; Execute\n    Q2 --&gt;|No| Different[Try Different Agent]\n    Different --&gt; Select\n\n    Q1 --&gt;|Yes| Q3{Task Complete?}\n    Q3 --&gt;|No| Q4{Making Progress?}\n    Q4 --&gt;|Yes| Select\n    Q4 --&gt;|No - Stalled| Replan[Reset Plan &amp; Approach]\n    Replan --&gt; Plan\n\n    Q3 --&gt;|Yes| Synth[Synthesize Final Result]\n    Synth --&gt; Done([Return Report])\n\n    style Start fill:#e1f5e1\n    style Plan fill:#fff4e6\n    style Select fill:#ffe6e6\n    style Execute fill:#e6f3ff\n    style Assess fill:#ffd6d6\n    style Q1 fill:#ffe6e6\n    style Q2 fill:#ffe6e6\n    style Q3 fill:#ffe6e6\n    style Q4 fill:#ffe6e6\n    style Synth fill:#d4edda\n    style Done fill:#e1f5e1</code></pre>"},{"location":"architecture/workflow-diagrams/#6-hypothesis-agent-workflow","title":"6. Hypothesis Agent Workflow","text":"<pre><code>flowchart LR\n    Input[Research Query] --&gt; Domain[Identify Domain&lt;br/&gt;&amp; Key Concepts]\n    Domain --&gt; Context[Retrieve Background&lt;br/&gt;Knowledge]\n    Context --&gt; Generate[Generate 3-5&lt;br/&gt;Initial Hypotheses]\n    Generate --&gt; Refine[Refine for&lt;br/&gt;Testability]\n    Refine --&gt; Rank[Rank by&lt;br/&gt;Quality Score]\n    Rank --&gt; Output[Return Top&lt;br/&gt;Hypotheses]\n\n    Output --&gt; Struct[Hypothesis Structure:&lt;br/&gt;\u2022 Statement&lt;br/&gt;\u2022 Rationale&lt;br/&gt;\u2022 Testability Score&lt;br/&gt;\u2022 Data Requirements&lt;br/&gt;\u2022 Expected Outcomes]\n\n    style Input fill:#e1f5e1\n    style Output fill:#fff4e6\n    style Struct fill:#e6f3ff</code></pre>"},{"location":"architecture/workflow-diagrams/#7-search-agent-workflow","title":"7. Search Agent Workflow","text":"<pre><code>flowchart TD\n    Input[Hypotheses] --&gt; Strategy[Formulate Search&lt;br/&gt;Strategy per Hypothesis]\n\n    Strategy --&gt; Multi[Multi-Source Search]\n\n    Multi --&gt; PubMed[PubMed Search&lt;br/&gt;via MCP]\n    Multi --&gt; ArXiv[arXiv Search&lt;br/&gt;via MCP]\n    Multi --&gt; BioRxiv[bioRxiv Search&lt;br/&gt;via MCP]\n\n    PubMed --&gt; Aggregate[Aggregate Results]\n    ArXiv --&gt; Aggregate\n    BioRxiv --&gt; Aggregate\n\n    Aggregate --&gt; Filter[Filter &amp; Rank&lt;br/&gt;by Relevance]\n    Filter --&gt; Dedup[Deduplicate&lt;br/&gt;Cross-Reference]\n    Dedup --&gt; Embed[Embed Documents&lt;br/&gt;via MCP]\n    Embed --&gt; Vector[(Vector DB)]\n    Vector --&gt; RAGRetrieval[RAG Retrieval&lt;br/&gt;Top-K per Hypothesis]\n    RAGRetrieval --&gt; Output[Return Contextualized&lt;br/&gt;Search Results]\n\n    style Input fill:#fff4e6\n    style Multi fill:#ffe6e6\n    style Vector fill:#ffe6f0\n    style Output fill:#e6f3ff</code></pre>"},{"location":"architecture/workflow-diagrams/#8-analysis-agent-workflow","title":"8. Analysis Agent Workflow","text":"<pre><code>flowchart TD\n    Input1[Hypotheses] --&gt; Extract\n    Input2[Search Results] --&gt; Extract[Extract Evidence&lt;br/&gt;per Hypothesis]\n\n    Extract --&gt; Methods[Determine Analysis&lt;br/&gt;Methods Needed]\n\n    Methods --&gt; Branch{Requires&lt;br/&gt;Computation?}\n    Branch --&gt;|Yes| GenCode[Generate Python&lt;br/&gt;Analysis Code]\n    Branch --&gt;|No| Qual[Qualitative&lt;br/&gt;Synthesis]\n\n    GenCode --&gt; Execute[Execute Code&lt;br/&gt;via MCP Sandbox]\n    Execute --&gt; Interpret1[Interpret&lt;br/&gt;Results]\n    Qual --&gt; Interpret2[Interpret&lt;br/&gt;Findings]\n\n    Interpret1 --&gt; Synthesize[Synthesize Evidence&lt;br/&gt;Across Sources]\n    Interpret2 --&gt; Synthesize\n\n    Synthesize --&gt; Verdict[Determine Verdict&lt;br/&gt;per Hypothesis]\n    Verdict --&gt; Support[\u2022 Supported&lt;br/&gt;\u2022 Refuted&lt;br/&gt;\u2022 Inconclusive]\n    Support --&gt; Gaps[Identify Knowledge&lt;br/&gt;Gaps &amp; Limitations]\n    Gaps --&gt; Output[Return Analysis&lt;br/&gt;Report]\n\n    style Input1 fill:#fff4e6\n    style Input2 fill:#e6f3ff\n    style Execute fill:#ffe6e6\n    style Output fill:#e6ffe6</code></pre>"},{"location":"architecture/workflow-diagrams/#9-report-agent-workflow","title":"9. Report Agent Workflow","text":"<pre><code>flowchart TD\n    Input1[Query] --&gt; Assemble\n    Input2[Hypotheses] --&gt; Assemble\n    Input3[Search Results] --&gt; Assemble\n    Input4[Analysis] --&gt; Assemble[Assemble Report&lt;br/&gt;Sections]\n\n    Assemble --&gt; Exec[Executive Summary]\n    Assemble --&gt; Intro[Introduction]\n    Assemble --&gt; Methods[Methods]\n    Assemble --&gt; Results[Results per&lt;br/&gt;Hypothesis]\n    Assemble --&gt; Discussion[Discussion]\n    Assemble --&gt; Future[Future Directions]\n    Assemble --&gt; Refs[References]\n\n    Results --&gt; VizCheck{Needs&lt;br/&gt;Visualization?}\n    VizCheck --&gt;|Yes| GenViz[Generate Viz Code]\n    GenViz --&gt; ExecViz[Execute via MCP&lt;br/&gt;Create Charts]\n    ExecViz --&gt; Combine\n    VizCheck --&gt;|No| Combine[Combine All&lt;br/&gt;Sections]\n\n    Exec --&gt; Combine\n    Intro --&gt; Combine\n    Methods --&gt; Combine\n    Discussion --&gt; Combine\n    Future --&gt; Combine\n    Refs --&gt; Combine\n\n    Combine --&gt; Format[Format Output]\n    Format --&gt; MD[Markdown]\n    Format --&gt; PDF[PDF]\n    Format --&gt; JSON[JSON]\n\n    MD --&gt; Output[Return Final&lt;br/&gt;Report]\n    PDF --&gt; Output\n    JSON --&gt; Output\n\n    style Input1 fill:#e1f5e1\n    style Input2 fill:#fff4e6\n    style Input3 fill:#e6f3ff\n    style Input4 fill:#e6ffe6\n    style Output fill:#d4edda</code></pre>"},{"location":"architecture/workflow-diagrams/#10-data-flow--event-streaming","title":"10. Data Flow &amp; Event Streaming","text":"<pre><code>flowchart TD\n    User[\ud83d\udc64 User] --&gt;|Research Query| UI[Gradio UI]\n    UI --&gt;|Submit| Manager[Magentic Manager]\n\n    Manager --&gt;|Event: Planning| UI\n    Manager --&gt;|Select Agent| HypAgent[Hypothesis Agent]\n    HypAgent --&gt;|Event: Delta/Message| UI\n    HypAgent --&gt;|Hypotheses| Context[(Shared Context)]\n\n    Context --&gt;|Retrieved by| Manager\n    Manager --&gt;|Select Agent| SearchAgent[Search Agent]\n    SearchAgent --&gt;|MCP Request| WebSearch[Web Search Tool]\n    WebSearch --&gt;|Results| SearchAgent\n    SearchAgent --&gt;|Event: Delta/Message| UI\n    SearchAgent --&gt;|Documents| Context\n    SearchAgent --&gt;|Embeddings| VectorDB[(Vector DB)]\n\n    Context --&gt;|Retrieved by| Manager\n    Manager --&gt;|Select Agent| AnalysisAgent[Analysis Agent]\n    AnalysisAgent --&gt;|MCP Request| CodeExec[Code Execution Tool]\n    CodeExec --&gt;|Results| AnalysisAgent\n    AnalysisAgent --&gt;|Event: Delta/Message| UI\n    AnalysisAgent --&gt;|Analysis| Context\n\n    Context --&gt;|Retrieved by| Manager\n    Manager --&gt;|Select Agent| ReportAgent[Report Agent]\n    ReportAgent --&gt;|MCP Request| CodeExec\n    ReportAgent --&gt;|Event: Delta/Message| UI\n    ReportAgent --&gt;|Report| Context\n\n    Manager --&gt;|Event: Final Result| UI\n    UI --&gt;|Display| User\n\n    style User fill:#e1f5e1\n    style UI fill:#e6f3ff\n    style Manager fill:#ffe6e6\n    style Context fill:#ffe6f0\n    style VectorDB fill:#ffe6f0\n    style WebSearch fill:#f0f0f0\n    style CodeExec fill:#f0f0f0</code></pre>"},{"location":"architecture/workflow-diagrams/#11-mcp-tool-architecture","title":"11. MCP Tool Architecture","text":"<pre><code>graph TB\n    subgraph \"Agent Layer\"\n        Manager[Magentic Manager]\n        HypAgent[Hypothesis Agent]\n        SearchAgent[Search Agent]\n        AnalysisAgent[Analysis Agent]\n        ReportAgent[Report Agent]\n    end\n\n    subgraph \"MCP Protocol Layer\"\n        Registry[MCP Tool Registry&lt;br/&gt;\u2022 Discovers tools&lt;br/&gt;\u2022 Routes requests&lt;br/&gt;\u2022 Manages connections]\n    end\n\n    subgraph \"MCP Servers\"\n        Server1[Web Search Server&lt;br/&gt;localhost:8001&lt;br/&gt;\u2022 PubMed&lt;br/&gt;\u2022 arXiv&lt;br/&gt;\u2022 bioRxiv]\n        Server2[Code Execution Server&lt;br/&gt;localhost:8002&lt;br/&gt;\u2022 Sandboxed Python&lt;br/&gt;\u2022 Package management]\n        Server3[RAG Server&lt;br/&gt;localhost:8003&lt;br/&gt;\u2022 Vector embeddings&lt;br/&gt;\u2022 Similarity search]\n        Server4[Visualization Server&lt;br/&gt;localhost:8004&lt;br/&gt;\u2022 Chart generation&lt;br/&gt;\u2022 Plot rendering]\n    end\n\n    subgraph \"External Services\"\n        PubMed[PubMed API]\n        ArXiv[arXiv API]\n        BioRxiv[bioRxiv API]\n        Modal[Modal Sandbox]\n        ChromaDB[(ChromaDB)]\n    end\n\n    SearchAgent --&gt;|Request| Registry\n    AnalysisAgent --&gt;|Request| Registry\n    ReportAgent --&gt;|Request| Registry\n\n    Registry --&gt; Server1\n    Registry --&gt; Server2\n    Registry --&gt; Server3\n    Registry --&gt; Server4\n\n    Server1 --&gt; PubMed\n    Server1 --&gt; ArXiv\n    Server1 --&gt; BioRxiv\n    Server2 --&gt; Modal\n    Server3 --&gt; ChromaDB\n\n    style Manager fill:#ffe6e6\n    style Registry fill:#fff4e6\n    style Server1 fill:#e6f3ff\n    style Server2 fill:#e6f3ff\n    style Server3 fill:#e6f3ff\n    style Server4 fill:#e6f3ff</code></pre>"},{"location":"architecture/workflow-diagrams/#12-progress-tracking--stall-detection","title":"12. Progress Tracking &amp; Stall Detection","text":"<pre><code>stateDiagram-v2\n    [*] --&gt; Initialization: User Query\n\n    Initialization --&gt; Planning: Manager starts\n\n    Planning --&gt; AgentExecution: Select agent\n\n    AgentExecution --&gt; Assessment: Collect results\n\n    Assessment --&gt; QualityCheck: Evaluate output\n\n    QualityCheck --&gt; AgentExecution: Poor quality&lt;br/&gt;(retry &lt; max_rounds)\n    QualityCheck --&gt; Planning: Poor quality&lt;br/&gt;(try different agent)\n    QualityCheck --&gt; NextAgent: Good quality&lt;br/&gt;(task incomplete)\n    QualityCheck --&gt; Synthesis: Good quality&lt;br/&gt;(task complete)\n\n    NextAgent --&gt; AgentExecution: Select next agent\n\n    state StallDetection &lt;&lt;choice&gt;&gt;\n    Assessment --&gt; StallDetection: Check progress\n    StallDetection --&gt; Planning: No progress&lt;br/&gt;(stall count &lt; max)\n    StallDetection --&gt; ErrorRecovery: No progress&lt;br/&gt;(max stalls reached)\n\n    ErrorRecovery --&gt; PartialReport: Generate partial results\n    PartialReport --&gt; [*]\n\n    Synthesis --&gt; FinalReport: Combine all outputs\n    FinalReport --&gt; [*]\n\n    note right of QualityCheck\n        Manager assesses:\n        \u2022 Output completeness\n        \u2022 Quality metrics\n        \u2022 Progress made\n    end note\n\n    note right of StallDetection\n        Stall = no new progress\n        after agent execution\n        Triggers plan reset\n    end note</code></pre>"},{"location":"architecture/workflow-diagrams/#13-gradio-ui-integration","title":"13. Gradio UI Integration","text":"<pre><code>graph TD\n    App[Gradio App&lt;br/&gt;DeepCritical Research Agent]\n\n    App --&gt; Input[Input Section]\n    App --&gt; Status[Status Section]\n    App --&gt; Output[Output Section]\n\n    Input --&gt; Query[Research Question&lt;br/&gt;Text Area]\n    Input --&gt; Controls[Controls]\n    Controls --&gt; MaxHyp[Max Hypotheses: 1-10]\n    Controls --&gt; MaxRounds[Max Rounds: 5-20]\n    Controls --&gt; Submit[Start Research Button]\n\n    Status --&gt; Log[Real-time Event Log&lt;br/&gt;\u2022 Manager planning&lt;br/&gt;\u2022 Agent selection&lt;br/&gt;\u2022 Execution updates&lt;br/&gt;\u2022 Quality assessment]\n    Status --&gt; Progress[Progress Tracker&lt;br/&gt;\u2022 Current agent&lt;br/&gt;\u2022 Round count&lt;br/&gt;\u2022 Stall count]\n\n    Output --&gt; Tabs[Tabbed Results]\n    Tabs --&gt; Tab1[Hypotheses Tab&lt;br/&gt;Generated hypotheses with scores]\n    Tabs --&gt; Tab2[Search Results Tab&lt;br/&gt;Papers &amp; sources found]\n    Tabs --&gt; Tab3[Analysis Tab&lt;br/&gt;Evidence &amp; verdicts]\n    Tabs --&gt; Tab4[Report Tab&lt;br/&gt;Final research report]\n    Tab4 --&gt; Download[Download Report&lt;br/&gt;MD / PDF / JSON]\n\n    Submit -.-&gt;|Triggers| Workflow[Magentic Workflow]\n    Workflow -.-&gt;|MagenticOrchestratorMessageEvent| Log\n    Workflow -.-&gt;|MagenticAgentDeltaEvent| Log\n    Workflow -.-&gt;|MagenticAgentMessageEvent| Log\n    Workflow -.-&gt;|MagenticFinalResultEvent| Tab4\n\n    style App fill:#e1f5e1\n    style Input fill:#fff4e6\n    style Status fill:#e6f3ff\n    style Output fill:#e6ffe6\n    style Workflow fill:#ffe6e6</code></pre>"},{"location":"architecture/workflow-diagrams/#14-complete-system-context","title":"14. Complete System Context","text":"<pre><code>graph LR\n    User[\ud83d\udc64 Researcher&lt;br/&gt;Asks research questions] --&gt;|Submits query| DC[DeepCritical&lt;br/&gt;Magentic Workflow]\n\n    DC --&gt;|Literature search| PubMed[PubMed API&lt;br/&gt;Medical papers]\n    DC --&gt;|Preprint search| ArXiv[arXiv API&lt;br/&gt;Scientific preprints]\n    DC --&gt;|Biology search| BioRxiv[bioRxiv API&lt;br/&gt;Biology preprints]\n    DC --&gt;|Agent reasoning| Claude[Claude API&lt;br/&gt;Sonnet 4 / Opus]\n    DC --&gt;|Code execution| Modal[Modal Sandbox&lt;br/&gt;Safe Python env]\n    DC --&gt;|Vector storage| Chroma[ChromaDB&lt;br/&gt;Embeddings &amp; RAG]\n\n    DC --&gt;|Deployed on| HF[HuggingFace Spaces&lt;br/&gt;Gradio 6.0]\n\n    PubMed --&gt;|Results| DC\n    ArXiv --&gt;|Results| DC\n    BioRxiv --&gt;|Results| DC\n    Claude --&gt;|Responses| DC\n    Modal --&gt;|Output| DC\n    Chroma --&gt;|Context| DC\n\n    DC --&gt;|Research report| User\n\n    style User fill:#e1f5e1\n    style DC fill:#ffe6e6\n    style PubMed fill:#e6f3ff\n    style ArXiv fill:#e6f3ff\n    style BioRxiv fill:#e6f3ff\n    style Claude fill:#ffd6d6\n    style Modal fill:#f0f0f0\n    style Chroma fill:#ffe6f0\n    style HF fill:#d4edda</code></pre>"},{"location":"architecture/workflow-diagrams/#15-workflow-timeline-simplified","title":"15. Workflow Timeline (Simplified)","text":"<pre><code>gantt\n    title DeepCritical Magentic Workflow - Typical Execution\n    dateFormat mm:ss\n    axisFormat %M:%S\n\n    section Manager Planning\n    Initial planning         :p1, 00:00, 10s\n\n    section Hypothesis Agent\n    Generate hypotheses      :h1, after p1, 30s\n    Manager assessment       :h2, after h1, 5s\n\n    section Search Agent\n    Search hypothesis 1      :s1, after h2, 20s\n    Search hypothesis 2      :s2, after s1, 20s\n    Search hypothesis 3      :s3, after s2, 20s\n    RAG processing          :s4, after s3, 15s\n    Manager assessment      :s5, after s4, 5s\n\n    section Analysis Agent\n    Evidence extraction     :a1, after s5, 15s\n    Code generation        :a2, after a1, 20s\n    Code execution         :a3, after a2, 25s\n    Synthesis              :a4, after a3, 20s\n    Manager assessment     :a5, after a4, 5s\n\n    section Report Agent\n    Report assembly        :r1, after a5, 30s\n    Visualization          :r2, after r1, 15s\n    Formatting             :r3, after r2, 10s\n\n    section Manager Synthesis\n    Final synthesis        :f1, after r3, 10s</code></pre>"},{"location":"architecture/workflow-diagrams/#key-differences-from-original-design","title":"Key Differences from Original Design","text":"Aspect Original (Judge-in-Loop) New (Magentic) Control Flow Fixed sequential phases Dynamic agent selection Quality Control Separate Judge Agent Manager assessment built-in Retry Logic Phase-level with feedback Agent-level with adaptation Flexibility Rigid 4-phase pipeline Adaptive workflow Complexity 5 agents (including Judge) 4 agents (no Judge) Progress Tracking Manual state management Built-in round/stall detection Agent Coordination Sequential handoff Manager-driven dynamic selection Error Recovery Retry same phase Try different agent or replan"},{"location":"architecture/workflow-diagrams/#simplified-design-principles","title":"Simplified Design Principles","text":"<ol> <li>Manager is Intelligent: LLM-powered manager handles planning, selection, and quality assessment</li> <li>No Separate Judge: Manager's assessment phase replaces dedicated Judge Agent</li> <li>Dynamic Workflow: Agents can be called multiple times in any order based on need</li> <li>Built-in Safety: max_round_count (15) and max_stall_count (3) prevent infinite loops</li> <li>Event-Driven UI: Real-time streaming updates to Gradio interface</li> <li>MCP-Powered Tools: All external capabilities via Model Context Protocol</li> <li>Shared Context: Centralized state accessible to all agents</li> <li>Progress Awareness: Manager tracks what's been done and what's needed</li> </ol>"},{"location":"architecture/workflow-diagrams/#legend","title":"Legend","text":"<ul> <li>\ud83d\udd34 Red/Pink: Manager, orchestration, decision-making</li> <li>\ud83d\udfe1 Yellow/Orange: Specialist agents, processing</li> <li>\ud83d\udd35 Blue: Data, tools, MCP services</li> <li>\ud83d\udfe3 Purple/Pink: Storage, databases, state</li> <li>\ud83d\udfe2 Green: User interactions, final outputs</li> <li>\u26aa Gray: External services, APIs</li> </ul>"},{"location":"architecture/workflow-diagrams/#implementation-highlights","title":"Implementation Highlights","text":"<p>Simple 4-Agent Setup:</p> <p>Manager handles quality assessment in its instructions: - Checks hypothesis quality (testable, novel, clear) - Validates search results (relevant, authoritative, recent) - Assesses analysis soundness (methodology, evidence, conclusions) - Ensures report completeness (all sections, proper citations)</p> <p>No separate Judge Agent needed - manager does it all!</p> <p>Document Version: 2.0 (Magentic Simplified) Last Updated: 2025-11-24 Architecture: Microsoft Magentic Orchestration Pattern Agents: 4 (Hypothesis, Search, Analysis, Report) + 1 Manager License: MIT</p>"},{"location":"architecture/workflow-diagrams/#see-also","title":"See Also","text":"<ul> <li>Orchestrators - Overview of all orchestrator patterns</li> <li>Graph Orchestration - Graph-based execution overview</li> <li>API Reference - Orchestrators - API documentation</li> </ul>"},{"location":"configuration/","title":"Configuration Guide","text":""},{"location":"configuration/#overview","title":"Overview","text":"<p>DeepCritical uses Pydantic Settings for centralized configuration management. All settings are defined in the <code>Settings</code> class in <code>src/utils/config.py</code> and can be configured via environment variables or a <code>.env</code> file.</p> <p>The configuration system provides:</p> <ul> <li>Type Safety: Strongly-typed fields with Pydantic validation</li> <li>Environment File Support: Automatically loads from <code>.env</code> file (if present)</li> <li>Case-Insensitive: Environment variables are case-insensitive</li> <li>Singleton Pattern: Global <code>settings</code> instance for easy access throughout the codebase</li> <li>Validation: Automatic validation on load with helpful error messages</li> </ul>"},{"location":"configuration/#quick-start","title":"Quick Start","text":"<ol> <li>Create a <code>.env</code> file in the project root</li> <li>Set at least one LLM API key (<code>OPENAI_API_KEY</code>, <code>ANTHROPIC_API_KEY</code>, or <code>HF_TOKEN</code>)</li> <li>Optionally configure other services as needed</li> <li>The application will automatically load and validate your configuration</li> </ol>"},{"location":"configuration/#configuration-system-architecture","title":"Configuration System Architecture","text":""},{"location":"configuration/#settings-class","title":"Settings Class","text":"<p>The [<code>Settings</code>][settings-class] class extends <code>BaseSettings</code> from <code>pydantic_settings</code> and defines all application configuration:</p> <p>View source</p>"},{"location":"configuration/#singleton-instance","title":"Singleton Instance","text":"<p>A global <code>settings</code> instance is available for import:</p> <p>View source</p>"},{"location":"configuration/#usage-pattern","title":"Usage Pattern","text":"<p>Access configuration throughout the codebase:</p> <pre><code>from src.utils.config import settings\n\n# Check if API keys are available\nif settings.has_openai_key:\n    # Use OpenAI\n    pass\n\n# Access configuration values\nmax_iterations = settings.max_iterations\nweb_search_provider = settings.web_search_provider\n</code></pre>"},{"location":"configuration/#required-configuration","title":"Required Configuration","text":""},{"location":"configuration/#llm-provider","title":"LLM Provider","text":"<p>You must configure at least one LLM provider. The system supports:</p> <ul> <li>OpenAI: Requires <code>OPENAI_API_KEY</code></li> <li>Anthropic: Requires <code>ANTHROPIC_API_KEY</code></li> <li>HuggingFace: Optional <code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> (can work without key for public models)</li> </ul>"},{"location":"configuration/#openai-configuration","title":"OpenAI Configuration","text":"<pre><code>LLM_PROVIDER=openai\nOPENAI_API_KEY=your_openai_api_key_here\nOPENAI_MODEL=gpt-5.1\n</code></pre> <p>The default model is defined in the <code>Settings</code> class:</p>"},{"location":"configuration/#anthropic-configuration","title":"Anthropic Configuration","text":"<pre><code>LLM_PROVIDER=anthropic\nANTHROPIC_API_KEY=your_anthropic_api_key_here\nANTHROPIC_MODEL=claude-sonnet-4-5-20250929\n</code></pre> <p>The default model is defined in the <code>Settings</code> class:</p>"},{"location":"configuration/#huggingface-configuration","title":"HuggingFace Configuration","text":"<p>HuggingFace can work without an API key for public models, but an API key provides higher rate limits:</p> <pre><code># Option 1: Using HF_TOKEN (preferred)\nHF_TOKEN=your_huggingface_token_here\n\n# Option 2: Using HUGGINGFACE_API_KEY (alternative)\nHUGGINGFACE_API_KEY=your_huggingface_api_key_here\n\n# Default model\nHUGGINGFACE_MODEL=meta-llama/Llama-3.1-8B-Instruct\n</code></pre> <p>The HuggingFace token can be set via either environment variable:</p>"},{"location":"configuration/#optional-configuration","title":"Optional Configuration","text":""},{"location":"configuration/#embedding-configuration","title":"Embedding Configuration","text":"<p>DeepCritical supports multiple embedding providers for semantic search and RAG:</p> <pre><code># Embedding Provider: \"openai\", \"local\", or \"huggingface\"\nEMBEDDING_PROVIDER=local\n\n# OpenAI Embedding Model (used by LlamaIndex RAG)\nOPENAI_EMBEDDING_MODEL=text-embedding-3-small\n\n# Local Embedding Model (sentence-transformers, used by EmbeddingService)\nLOCAL_EMBEDDING_MODEL=all-MiniLM-L6-v2\n\n# HuggingFace Embedding Model\nHUGGINGFACE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2\n</code></pre> <p>The embedding provider configuration:</p> <p>Note: OpenAI embeddings require <code>OPENAI_API_KEY</code>. The local provider (default) uses sentence-transformers and requires no API key.</p>"},{"location":"configuration/#web-search-configuration","title":"Web Search Configuration","text":"<p>DeepCritical supports multiple web search providers:</p> <pre><code># Web Search Provider: \"serper\", \"searchxng\", \"brave\", \"tavily\", or \"duckduckgo\"\n# Default: \"duckduckgo\" (no API key required)\nWEB_SEARCH_PROVIDER=duckduckgo\n\n# Serper API Key (for Google search via Serper)\nSERPER_API_KEY=your_serper_api_key_here\n\n# SearchXNG Host URL (for self-hosted search)\nSEARCHXNG_HOST=http://localhost:8080\n\n# Brave Search API Key\nBRAVE_API_KEY=your_brave_api_key_here\n\n# Tavily API Key\nTAVILY_API_KEY=your_tavily_api_key_here\n</code></pre> <p>The web search provider configuration:</p> <p>Note: DuckDuckGo is the default and requires no API key, making it ideal for development and testing.</p>"},{"location":"configuration/#pubmed-configuration","title":"PubMed Configuration","text":"<p>PubMed search supports optional NCBI API key for higher rate limits:</p> <pre><code># NCBI API Key (optional, for higher rate limits: 10 req/sec vs 3 req/sec)\nNCBI_API_KEY=your_ncbi_api_key_here\n</code></pre> <p>The PubMed tool uses this configuration:</p>"},{"location":"configuration/#agent-configuration","title":"Agent Configuration","text":"<p>Control agent behavior and research loop execution:</p> <pre><code># Maximum iterations per research loop (1-50, default: 10)\nMAX_ITERATIONS=10\n\n# Search timeout in seconds\nSEARCH_TIMEOUT=30\n\n# Use graph-based execution for research flows\nUSE_GRAPH_EXECUTION=false\n</code></pre> <p>The agent configuration fields:</p>"},{"location":"configuration/#budget--rate-limiting-configuration","title":"Budget &amp; Rate Limiting Configuration","text":"<p>Control resource limits for research loops:</p> <pre><code># Default token budget per research loop (1000-1000000, default: 100000)\nDEFAULT_TOKEN_LIMIT=100000\n\n# Default time limit per research loop in minutes (1-120, default: 10)\nDEFAULT_TIME_LIMIT_MINUTES=10\n\n# Default iterations limit per research loop (1-50, default: 10)\nDEFAULT_ITERATIONS_LIMIT=10\n</code></pre> <p>The budget configuration with validation:</p>"},{"location":"configuration/#rag-service-configuration","title":"RAG Service Configuration","text":"<p>Configure the Retrieval-Augmented Generation service:</p> <pre><code># ChromaDB collection name for RAG\nRAG_COLLECTION_NAME=deepcritical_evidence\n\n# Number of top results to retrieve from RAG (1-50, default: 5)\nRAG_SIMILARITY_TOP_K=5\n\n# Automatically ingest evidence into RAG\nRAG_AUTO_INGEST=true\n</code></pre> <p>The RAG configuration:</p>"},{"location":"configuration/#chromadb-configuration","title":"ChromaDB Configuration","text":"<p>Configure the vector database for embeddings and RAG:</p> <pre><code># ChromaDB storage path\nCHROMA_DB_PATH=./chroma_db\n\n# Whether to persist ChromaDB to disk\nCHROMA_DB_PERSIST=true\n\n# ChromaDB server host (for remote ChromaDB, optional)\nCHROMA_DB_HOST=localhost\n\n# ChromaDB server port (for remote ChromaDB, optional)\nCHROMA_DB_PORT=8000\n</code></pre> <p>The ChromaDB configuration:</p>"},{"location":"configuration/#external-services","title":"External Services","text":""},{"location":"configuration/#modal-configuration","title":"Modal Configuration","text":"<p>Modal is used for secure sandbox execution of statistical analysis:</p> <pre><code># Modal Token ID (for Modal sandbox execution)\nMODAL_TOKEN_ID=your_modal_token_id_here\n\n# Modal Token Secret\nMODAL_TOKEN_SECRET=your_modal_token_secret_here\n</code></pre> <p>The Modal configuration:</p>"},{"location":"configuration/#logging-configuration","title":"Logging Configuration","text":"<p>Configure structured logging:</p> <pre><code># Log Level: \"DEBUG\", \"INFO\", \"WARNING\", or \"ERROR\"\nLOG_LEVEL=INFO\n</code></pre> <p>The logging configuration:</p> <p>Logging is configured via the <code>configure_logging()</code> function:</p>"},{"location":"configuration/#configuration-properties","title":"Configuration Properties","text":"<p>The <code>Settings</code> class provides helpful properties for checking configuration state:</p>"},{"location":"configuration/#api-key-availability","title":"API Key Availability","text":"<p>Check which API keys are available:</p> <p>Usage:</p> <pre><code>from src.utils.config import settings\n\n# Check API key availability\nif settings.has_openai_key:\n    # Use OpenAI\n    pass\n\nif settings.has_anthropic_key:\n    # Use Anthropic\n    pass\n\nif settings.has_huggingface_key:\n    # Use HuggingFace\n    pass\n\nif settings.has_any_llm_key:\n    # At least one LLM is available\n    pass\n</code></pre>"},{"location":"configuration/#service-availability","title":"Service Availability","text":"<p>Check if external services are configured:</p> <p>Usage:</p> <pre><code>from src.utils.config import settings\n\n# Check service availability\nif settings.modal_available:\n    # Use Modal sandbox\n    pass\n\nif settings.web_search_available:\n    # Web search is configured\n    pass\n</code></pre>"},{"location":"configuration/#api-key-retrieval","title":"API Key Retrieval","text":"<p>Get the API key for the configured provider:</p> <p>For OpenAI-specific operations (e.g., Magentic mode):</p>"},{"location":"configuration/#configuration-usage-in-codebase","title":"Configuration Usage in Codebase","text":"<p>The configuration system is used throughout the codebase:</p>"},{"location":"configuration/#llm-factory","title":"LLM Factory","text":"<p>The LLM factory uses settings to create appropriate models:</p>"},{"location":"configuration/#embedding-service","title":"Embedding Service","text":"<p>The embedding service uses local embedding model configuration:</p>"},{"location":"configuration/#orchestrator-factory","title":"Orchestrator Factory","text":"<p>The orchestrator factory uses settings to determine mode:</p>"},{"location":"configuration/#environment-variables-reference","title":"Environment Variables Reference","text":""},{"location":"configuration/#required-at-least-one-llm","title":"Required (at least one LLM)","text":"<ul> <li><code>OPENAI_API_KEY</code> - OpenAI API key (required for OpenAI provider)</li> <li><code>ANTHROPIC_API_KEY</code> - Anthropic API key (required for Anthropic provider)</li> <li><code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> - HuggingFace API token (optional, can work without for public models)</li> </ul>"},{"location":"configuration/#llm-configuration-variables","title":"LLM Configuration Variables","text":"<ul> <li><code>LLM_PROVIDER</code> - Provider to use: <code>\"openai\"</code>, <code>\"anthropic\"</code>, or <code>\"huggingface\"</code> (default: <code>\"huggingface\"</code>)</li> <li><code>OPENAI_MODEL</code> - OpenAI model name (default: <code>\"gpt-5.1\"</code>)</li> <li><code>ANTHROPIC_MODEL</code> - Anthropic model name (default: <code>\"claude-sonnet-4-5-20250929\"</code>)</li> <li><code>HUGGINGFACE_MODEL</code> - HuggingFace model ID (default: <code>\"meta-llama/Llama-3.1-8B-Instruct\"</code>)</li> </ul>"},{"location":"configuration/#embedding-configuration-variables","title":"Embedding Configuration Variables","text":"<ul> <li><code>EMBEDDING_PROVIDER</code> - Provider: <code>\"openai\"</code>, <code>\"local\"</code>, or <code>\"huggingface\"</code> (default: <code>\"local\"</code>)</li> <li><code>OPENAI_EMBEDDING_MODEL</code> - OpenAI embedding model (default: <code>\"text-embedding-3-small\"</code>)</li> <li><code>LOCAL_EMBEDDING_MODEL</code> - Local sentence-transformers model (default: <code>\"all-MiniLM-L6-v2\"</code>)</li> <li><code>HUGGINGFACE_EMBEDDING_MODEL</code> - HuggingFace embedding model (default: <code>\"sentence-transformers/all-MiniLM-L6-v2\"</code>)</li> </ul>"},{"location":"configuration/#web-search-configuration-variables","title":"Web Search Configuration Variables","text":"<ul> <li><code>WEB_SEARCH_PROVIDER</code> - Provider: <code>\"serper\"</code>, <code>\"searchxng\"</code>, <code>\"brave\"</code>, <code>\"tavily\"</code>, or <code>\"duckduckgo\"</code> (default: <code>\"duckduckgo\"</code>)</li> <li><code>SERPER_API_KEY</code> - Serper API key (required for Serper provider)</li> <li><code>SEARCHXNG_HOST</code> - SearchXNG host URL (required for SearchXNG provider)</li> <li><code>BRAVE_API_KEY</code> - Brave Search API key (required for Brave provider)</li> <li><code>TAVILY_API_KEY</code> - Tavily API key (required for Tavily provider)</li> </ul>"},{"location":"configuration/#pubmed-configuration-variables","title":"PubMed Configuration Variables","text":"<ul> <li><code>NCBI_API_KEY</code> - NCBI API key (optional, increases rate limit from 3 to 10 req/sec)</li> </ul>"},{"location":"configuration/#agent-configuration-variables","title":"Agent Configuration Variables","text":"<ul> <li><code>MAX_ITERATIONS</code> - Maximum iterations per research loop (1-50, default: <code>10</code>)</li> <li><code>SEARCH_TIMEOUT</code> - Search timeout in seconds (default: <code>30</code>)</li> <li><code>USE_GRAPH_EXECUTION</code> - Use graph-based execution (default: <code>false</code>)</li> </ul>"},{"location":"configuration/#budget-configuration-variables","title":"Budget Configuration Variables","text":"<ul> <li><code>DEFAULT_TOKEN_LIMIT</code> - Default token budget per research loop (1000-1000000, default: <code>100000</code>)</li> <li><code>DEFAULT_TIME_LIMIT_MINUTES</code> - Default time limit in minutes (1-120, default: <code>10</code>)</li> <li><code>DEFAULT_ITERATIONS_LIMIT</code> - Default iterations limit (1-50, default: <code>10</code>)</li> </ul>"},{"location":"configuration/#rag-configuration-variables","title":"RAG Configuration Variables","text":"<ul> <li><code>RAG_COLLECTION_NAME</code> - ChromaDB collection name (default: <code>\"deepcritical_evidence\"</code>)</li> <li><code>RAG_SIMILARITY_TOP_K</code> - Number of top results to retrieve (1-50, default: <code>5</code>)</li> <li><code>RAG_AUTO_INGEST</code> - Automatically ingest evidence into RAG (default: <code>true</code>)</li> </ul>"},{"location":"configuration/#chromadb-configuration-variables","title":"ChromaDB Configuration Variables","text":"<ul> <li><code>CHROMA_DB_PATH</code> - ChromaDB storage path (default: <code>\"./chroma_db\"</code>)</li> <li><code>CHROMA_DB_PERSIST</code> - Whether to persist ChromaDB to disk (default: <code>true</code>)</li> <li><code>CHROMA_DB_HOST</code> - ChromaDB server host (optional, for remote ChromaDB)</li> <li><code>CHROMA_DB_PORT</code> - ChromaDB server port (optional, for remote ChromaDB)</li> </ul>"},{"location":"configuration/#external-services-variables","title":"External Services Variables","text":"<ul> <li><code>MODAL_TOKEN_ID</code> - Modal token ID (optional, for Modal sandbox execution)</li> <li><code>MODAL_TOKEN_SECRET</code> - Modal token secret (optional, for Modal sandbox execution)</li> </ul>"},{"location":"configuration/#logging-configuration-variables","title":"Logging Configuration Variables","text":"<ul> <li><code>LOG_LEVEL</code> - Log level: <code>\"DEBUG\"</code>, <code>\"INFO\"</code>, <code>\"WARNING\"</code>, or <code>\"ERROR\"</code> (default: <code>\"INFO\"</code>)</li> </ul>"},{"location":"configuration/#validation","title":"Validation","text":"<p>Settings are validated on load using Pydantic validation:</p> <ul> <li>Type Checking: All fields are strongly typed</li> <li>Range Validation: Numeric fields have min/max constraints (e.g., <code>ge=1, le=50</code> for <code>max_iterations</code>)</li> <li>Literal Validation: Enum fields only accept specific values (e.g., <code>Literal[\"openai\", \"anthropic\", \"huggingface\"]</code>)</li> <li>Required Fields: API keys are checked when accessed via <code>get_api_key()</code> or <code>get_openai_api_key()</code></li> </ul>"},{"location":"configuration/#validation-examples","title":"Validation Examples","text":"<p>The <code>max_iterations</code> field has range validation:</p> <p>The <code>llm_provider</code> field has literal validation:</p>"},{"location":"configuration/#error-handling","title":"Error Handling","text":"<p>Configuration errors raise <code>ConfigurationError</code> from <code>src/utils/exceptions.py</code>:</p> <p>```22:25:src/utils/exceptions.py class ConfigurationError(DeepCriticalError):     \"\"\"Raised when configuration is invalid.\"\"\"</p> <pre><code>pass\n</code></pre> <p>``` </p>"},{"location":"configuration/#error-handling-example","title":"Error Handling Example","text":"<p><code>python from src.utils.config import settings from src.utils.exceptions import ConfigurationError  try:     api_key = settings.get_api_key() except ConfigurationError as e:     print(f\"Configuration error: {e}\")</code></p>"},{"location":"configuration/#common-configuration-errors","title":"Common Configuration Errors","text":"<ol> <li>Missing API Key: When <code>get_api_key()</code> is called but the required API key is not set</li> <li>Invalid Provider: When <code>llm_provider</code> is set to an unsupported value</li> <li>Out of Range: When numeric values exceed their min/max constraints</li> <li>Invalid Literal: When enum fields receive unsupported values</li> </ol>"},{"location":"configuration/#configuration-best-practices","title":"Configuration Best Practices","text":"<ol> <li>Use <code>.env</code> File: Store sensitive keys in <code>.env</code> file (add to <code>.gitignore</code>)</li> <li>Check Availability: Use properties like <code>has_openai_key</code> before accessing API keys</li> <li>Handle Errors: Always catch <code>ConfigurationError</code> when calling <code>get_api_key()</code></li> <li>Validate Early: Configuration is validated on import, so errors surface immediately</li> <li>Use Defaults: Leverage sensible defaults for optional configuration</li> </ol>"},{"location":"configuration/#future-enhancements","title":"Future Enhancements","text":"<p>The following configurations are planned for future phases:</p> <ol> <li>Additional LLM Providers: DeepSeek, OpenRouter, Gemini, Perplexity, Azure OpenAI, Local models</li> <li>Model Selection: Reasoning/main/fast model configuration</li> <li>Service Integration: Additional service integrations and configurations</li> </ol>"},{"location":"contributing/","title":"Contributing to The DETERMINATOR","text":"<p>Thank you for your interest in contributing to The DETERMINATOR! This guide will help you get started.</p> <p>Note on Project Names: \"The DETERMINATOR\" is the product name, \"DeepCritical\" is the organization/project name, and \"determinator\" is the Python package name.</p>"},{"location":"contributing/#git-workflow","title":"Git Workflow","text":"<ul> <li><code>main</code>: Production-ready (GitHub)</li> <li><code>dev</code>: Development integration (GitHub)</li> <li>Use feature branches: <code>yourname-dev</code></li> <li>NEVER push directly to <code>main</code> or <code>dev</code> on HuggingFace</li> <li>GitHub is source of truth; HuggingFace is for deployment</li> </ul>"},{"location":"contributing/#repository-information","title":"Repository Information","text":"<ul> <li>GitHub Repository: <code>DeepCritical/GradioDemo</code> (source of truth, PRs, code review)</li> <li>HuggingFace Space: <code>DataQuests/DeepCritical</code> (deployment/demo)</li> <li>Package Name: <code>determinator</code> (Python package name in <code>pyproject.toml</code>)</li> </ul>"},{"location":"contributing/#dual-repository-setup","title":"Dual Repository Setup","text":"<p>This project uses a dual repository setup:</p> <ul> <li>GitHub (<code>DeepCritical/GradioDemo</code>): Source of truth for code, PRs, and code review</li> <li>HuggingFace (<code>DataQuests/DeepCritical</code>): Deployment target for the Gradio demo</li> </ul>"},{"location":"contributing/#remote-configuration","title":"Remote Configuration","text":"<p>When cloning, set up remotes as follows:</p> <pre><code># Clone from GitHub\ngit clone https://github.com/DeepCritical/GradioDemo.git\ncd GradioDemo\n\n# Add HuggingFace remote (optional, for deployment)\ngit remote add huggingface-upstream https://huggingface.co/spaces/DataQuests/DeepCritical\n</code></pre> <p>Important: Never push directly to <code>main</code> or <code>dev</code> on HuggingFace. Always work through GitHub PRs. GitHub is the source of truth; HuggingFace is for deployment/demo only.</p>"},{"location":"contributing/#package-manager","title":"Package Manager","text":"<p>This project uses <code>uv</code> as the package manager. All commands should be prefixed with <code>uv run</code> to ensure they run in the correct environment.</p>"},{"location":"contributing/#installation","title":"Installation","text":"<pre><code># Install uv if you haven't already (recommended: standalone installer)\n# Unix/macOS/Linux:\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Windows (PowerShell):\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n# Alternative: pipx install uv\n# Or: pip install uv\n\n# Sync all dependencies including dev extras\nuv sync --all-extras\n\n# Install pre-commit hooks\nuv run pre-commit install\n</code></pre>"},{"location":"contributing/#development-commands","title":"Development Commands","text":"<pre><code># Installation\nuv sync --all-extras              # Install all dependencies including dev\nuv run pre-commit install          # Install pre-commit hooks\n\n# Code Quality Checks (run all before committing)\nuv run ruff check src tests       # Lint with ruff\nuv run ruff format src tests      # Format with ruff\nuv run mypy src                   # Type checking\nuv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire  # Tests with coverage\n\n# Testing Commands\nuv run pytest tests/unit/ -v -m \"not openai\" -p no:logfire              # Run unit tests (excludes OpenAI tests)\nuv run pytest tests/ -v -m \"huggingface\" -p no:logfire                 # Run HuggingFace tests\nuv run pytest tests/ -v -p no:logfire                                  # Run all tests\nuv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire  # Tests with terminal coverage\nuv run pytest --cov=src --cov-report=html -p no:logfire                # Generate HTML coverage report (opens htmlcov/index.html)\n\n# Documentation Commands\nuv run mkdocs build                # Build documentation\nuv run mkdocs serve                # Serve documentation locally (http://127.0.0.1:8000)\n</code></pre>"},{"location":"contributing/#test-markers","title":"Test Markers","text":"<p>The project uses pytest markers to categorize tests. See Testing Guidelines for details:</p> <ul> <li><code>unit</code>: Unit tests (mocked, fast)</li> <li><code>integration</code>: Integration tests (real APIs)</li> <li><code>slow</code>: Slow tests</li> <li><code>openai</code>: Tests requiring OpenAI API key</li> <li><code>huggingface</code>: Tests requiring HuggingFace API key</li> <li><code>embedding_provider</code>: Tests requiring API-based embedding providers</li> <li><code>local_embeddings</code>: Tests using local embeddings</li> </ul> <p>Note: The <code>-p no:logfire</code> flag disables the logfire plugin to avoid conflicts during testing.</p>"},{"location":"contributing/#getting-started","title":"Getting Started","text":"<ol> <li> <p>Fork the repository on GitHub: <code>DeepCritical/GradioDemo</code></p> </li> <li> <p>Clone your fork:</p> </li> </ol> <pre><code>git clone https://github.com/yourusername/GradioDemo.git\ncd GradioDemo\n</code></pre> <ol> <li>Install dependencies:</li> </ol> <pre><code>uv sync --all-extras\nuv run pre-commit install\n</code></pre> <ol> <li>Create a feature branch:</li> </ol> <pre><code>git checkout -b yourname-feature-name\n</code></pre> <ol> <li> <p>Make your changes following the guidelines below</p> </li> <li> <p>Run checks:</p> </li> </ol> <pre><code>uv run ruff check src tests\nuv run mypy src\nuv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire\n</code></pre> <ol> <li>Commit and push:</li> </ol> <pre><code>git commit -m \"Description of changes\"\ngit push origin yourname-feature-name\n</code></pre> <ol> <li>Create a pull request on GitHub</li> </ol>"},{"location":"contributing/#development-guidelines","title":"Development Guidelines","text":""},{"location":"contributing/#code-style","title":"Code Style","text":"<ul> <li>Follow Code Style Guidelines</li> <li>All code must pass <code>mypy --strict</code></li> <li>Use <code>ruff</code> for linting and formatting</li> <li>Line length: 100 characters</li> </ul>"},{"location":"contributing/#error-handling","title":"Error Handling","text":"<ul> <li>Follow Error Handling Guidelines</li> <li>Always chain exceptions: <code>raise SearchError(...) from e</code></li> <li>Use structured logging with <code>structlog</code></li> <li>Never silently swallow exceptions</li> </ul>"},{"location":"contributing/#testing","title":"Testing","text":"<ul> <li>Follow Testing Guidelines</li> <li>Write tests before implementation (TDD)</li> <li>Aim for &gt;80% coverage on critical paths</li> <li>Use markers: <code>unit</code>, <code>integration</code>, <code>slow</code></li> </ul>"},{"location":"contributing/#implementation-patterns","title":"Implementation Patterns","text":"<ul> <li>Follow Implementation Patterns</li> <li>Use factory functions for agent/tool creation</li> <li>Implement protocols for extensibility</li> <li>Use singleton pattern with <code>@lru_cache(maxsize=1)</code></li> </ul>"},{"location":"contributing/#prompt-engineering","title":"Prompt Engineering","text":"<ul> <li>Follow Prompt Engineering Guidelines</li> <li>Always validate citations</li> <li>Use diverse evidence selection</li> <li>Never trust LLM-generated citations without validation</li> </ul>"},{"location":"contributing/#code-quality","title":"Code Quality","text":"<ul> <li>Follow Code Quality Guidelines</li> <li>Google-style docstrings for all public functions</li> <li>Explain WHY, not WHAT in comments</li> <li>Mark critical sections: <code># CRITICAL: ...</code></li> </ul>"},{"location":"contributing/#mcp-integration","title":"MCP Integration","text":""},{"location":"contributing/#mcp-tools","title":"MCP Tools","text":"<ul> <li>Functions in <code>src/mcp_tools.py</code> for Claude Desktop</li> <li>Full type hints required</li> <li>Google-style docstrings with Args/Returns sections</li> <li>Formatted string returns (markdown)</li> </ul>"},{"location":"contributing/#gradio-mcp-server","title":"Gradio MCP Server","text":"<ul> <li>Enable with <code>mcp_server=True</code> in <code>demo.launch()</code></li> <li>Endpoint: <code>/gradio_api/mcp/</code></li> <li>Use <code>ssr_mode=False</code> to fix hydration issues in HF Spaces</li> </ul>"},{"location":"contributing/#common-pitfalls","title":"Common Pitfalls","text":"<ol> <li>Blocking the event loop: Never use sync I/O in async functions</li> <li>Missing type hints: All functions must have complete type annotations</li> <li>Hallucinated citations: Always validate references</li> <li>Global mutable state: Use ContextVar or pass via parameters</li> <li>Import errors: Lazy-load optional dependencies (magentic, modal, embeddings)</li> <li>Rate limiting: Always implement for external APIs</li> <li>Error chaining: Always use <code>from e</code> when raising exceptions</li> </ol>"},{"location":"contributing/#key-principles","title":"Key Principles","text":"<ol> <li>Type Safety First: All code must pass <code>mypy --strict</code></li> <li>Async Everything: All I/O must be async</li> <li>Test-Driven: Write tests before implementation</li> <li>No Hallucinations: Validate all citations</li> <li>Graceful Degradation: Support free tier (HF Inference) when no API keys</li> <li>Lazy Loading: Don't require optional dependencies at import time</li> <li>Structured Logging: Use structlog, never print()</li> <li>Error Chaining: Always preserve exception context</li> </ol>"},{"location":"contributing/#pull-request-process","title":"Pull Request Process","text":"<ol> <li>Ensure all checks pass: <code>uv run ruff check src tests &amp;&amp; uv run mypy src &amp;&amp; uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire</code></li> <li>Update documentation if needed</li> <li>Add tests for new features</li> <li>Update CHANGELOG if applicable</li> <li>Request review from maintainers</li> <li>Address review feedback</li> <li>Wait for approval before merging</li> </ol>"},{"location":"contributing/#project-structure","title":"Project Structure","text":"<ul> <li><code>src/</code>: Main source code</li> <li><code>tests/</code>: Test files (<code>unit/</code> and <code>integration/</code>)</li> <li><code>docs/</code>: Documentation source files (MkDocs)</li> <li><code>examples/</code>: Example usage scripts</li> <li><code>pyproject.toml</code>: Project configuration and dependencies</li> <li><code>.pre-commit-config.yaml</code>: Pre-commit hook configuration</li> </ul>"},{"location":"contributing/#questions","title":"Questions?","text":"<ul> <li>Open an issue on GitHub</li> <li>Check existing documentation</li> <li>Review code examples in the codebase</li> </ul> <p>Thank you for contributing to The DETERMINATOR!</p>"},{"location":"contributing/code-quality/","title":"Code Quality &amp; Documentation","text":"<p>This document outlines code quality standards and documentation requirements for The DETERMINATOR.</p>"},{"location":"contributing/code-quality/#linting","title":"Linting","text":"<ul> <li>Ruff with 100-char line length</li> <li>Ignore rules documented in <code>pyproject.toml</code>:</li> <li><code>PLR0913</code>: Too many arguments (agents need many params)</li> <li><code>PLR0912</code>: Too many branches (complex orchestrator logic)</li> <li><code>PLR0911</code>: Too many return statements (complex agent logic)</li> <li><code>PLR2004</code>: Magic values (statistical constants)</li> <li><code>PLW0603</code>: Global statement (singleton pattern)</li> <li><code>PLC0415</code>: Lazy imports for optional dependencies</li> <li><code>E402</code>: Module level import not at top (needed for pytest.importorskip)</li> <li><code>E501</code>: Line too long (ignore line length violations)</li> <li><code>RUF100</code>: Unused noqa (version differences between local/CI)</li> </ul>"},{"location":"contributing/code-quality/#type-checking","title":"Type Checking","text":"<ul> <li><code>mypy --strict</code> compliance</li> <li><code>ignore_missing_imports = true</code> (for optional dependencies)</li> <li>Exclude: <code>reference_repos/</code>, <code>examples/</code></li> <li>All functions must have complete type annotations</li> </ul>"},{"location":"contributing/code-quality/#pre-commit","title":"Pre-commit","text":"<p>Pre-commit hooks run automatically on commit to ensure code quality. Configuration is in <code>.pre-commit-config.yaml</code>.</p>"},{"location":"contributing/code-quality/#installation","title":"Installation","text":"<pre><code># Install dependencies (includes pre-commit package)\nuv sync --all-extras\n\n# Set up git hooks (must be run separately)\nuv run pre-commit install\n</code></pre> <p>Note: <code>uv sync --all-extras</code> installs the pre-commit package, but you must run <code>uv run pre-commit install</code> separately to set up the git hooks.</p>"},{"location":"contributing/code-quality/#pre-commit-hooks","title":"Pre-commit Hooks","text":"<p>The following hooks run automatically on commit:</p> <ol> <li>ruff: Lints code and fixes issues automatically</li> <li>Runs on: <code>src/</code> (excludes <code>tests/</code>, <code>reference_repos/</code>)</li> <li> <p>Auto-fixes: Yes</p> </li> <li> <p>ruff-format: Formats code with ruff</p> </li> <li>Runs on: <code>src/</code> (excludes <code>tests/</code>, <code>reference_repos/</code>)</li> <li> <p>Auto-fixes: Yes</p> </li> <li> <p>mypy: Type checking</p> </li> <li>Runs on: <code>src/</code> (excludes <code>folder/</code>)</li> <li> <p>Additional dependencies: pydantic, pydantic-settings, tenacity, pydantic-ai</p> </li> <li> <p>pytest-unit: Runs unit tests (excludes OpenAI and embedding_provider tests)</p> </li> <li>Runs: <code>tests/unit/</code> with <code>-m \"not openai and not embedding_provider\"</code></li> <li> <p>Always runs: Yes (not just on changed files)</p> </li> <li> <p>pytest-local-embeddings: Runs local embedding tests</p> </li> <li>Runs: <code>tests/</code> with <code>-m \"local_embeddings\"</code></li> <li>Always runs: Yes</li> </ol>"},{"location":"contributing/code-quality/#manual-pre-commit-run","title":"Manual Pre-commit Run","text":"<p>To run pre-commit hooks manually (without committing):</p> <pre><code>uv run pre-commit run --all-files\n</code></pre>"},{"location":"contributing/code-quality/#troubleshooting","title":"Troubleshooting","text":"<ul> <li>Hooks failing: Fix the issues shown in the output, then commit again</li> <li>Skipping hooks: Use <code>git commit --no-verify</code> (not recommended)</li> <li>Hook not running: Ensure hooks are installed with <code>uv run pre-commit install</code></li> <li>Type errors: Check that all dependencies are installed with <code>uv sync --all-extras</code></li> </ul>"},{"location":"contributing/code-quality/#documentation","title":"Documentation","text":""},{"location":"contributing/code-quality/#building-documentation","title":"Building Documentation","text":"<p>Documentation is built using MkDocs. Source files are in <code>docs/</code>, and the configuration is in <code>mkdocs.yml</code>.</p> <pre><code># Build documentation\nuv run mkdocs build\n\n# Serve documentation locally (http://127.0.0.1:8000)\nuv run mkdocs serve\n</code></pre> <p>The documentation site is published at: https://deepcritical.github.io/GradioDemo/</p>"},{"location":"contributing/code-quality/#docstrings","title":"Docstrings","text":"<ul> <li>Google-style docstrings for all public functions</li> <li>Include Args, Returns, Raises sections</li> <li>Use type hints in docstrings only if needed for clarity</li> </ul> <p>Example:</p>"},{"location":"contributing/code-quality/#code-comments","title":"Code Comments","text":"<ul> <li>Explain WHY, not WHAT</li> <li>Document non-obvious patterns (e.g., why <code>requests</code> not <code>httpx</code> for ClinicalTrials)</li> <li>Mark critical sections: <code># CRITICAL: ...</code></li> <li>Document rate limiting rationale</li> <li>Explain async patterns when non-obvious</li> </ul>"},{"location":"contributing/code-quality/#see-also","title":"See Also","text":"<ul> <li>Code Style - Code style guidelines</li> <li>Testing - Testing guidelines</li> </ul>"},{"location":"contributing/code-style/","title":"Code Style &amp; Conventions","text":"<p>This document outlines the code style and conventions for The DETERMINATOR.</p>"},{"location":"contributing/code-style/#package-manager","title":"Package Manager","text":"<p>This project uses <code>uv</code> as the package manager. All commands should be prefixed with <code>uv run</code> to ensure they run in the correct environment.</p>"},{"location":"contributing/code-style/#installation","title":"Installation","text":"<pre><code># Install uv if you haven't already (recommended: standalone installer)\n# Unix/macOS/Linux:\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Windows (PowerShell):\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n# Alternative: pipx install uv\n# Or: pip install uv\n\n# Sync all dependencies including dev extras\nuv sync --all-extras\n</code></pre>"},{"location":"contributing/code-style/#running-commands","title":"Running Commands","text":"<p>All development commands should use <code>uv run</code> prefix:</p> <pre><code># Instead of: pytest tests/\nuv run pytest tests/\n\n# Instead of: ruff check src\nuv run ruff check src\n\n# Instead of: mypy src\nuv run mypy src\n</code></pre> <p>This ensures commands run in the correct virtual environment managed by <code>uv</code>.</p>"},{"location":"contributing/code-style/#type-safety","title":"Type Safety","text":"<ul> <li>ALWAYS use type hints for all function parameters and return types</li> <li>Use <code>mypy --strict</code> compliance (no <code>Any</code> unless absolutely necessary)</li> <li>Use <code>TYPE_CHECKING</code> imports for circular dependencies:</li> </ul>"},{"location":"contributing/code-style/#pydantic-models","title":"Pydantic Models","text":"<ul> <li>All data exchange uses Pydantic models (<code>src/utils/models.py</code>)</li> <li>Models are frozen (<code>model_config = {\"frozen\": True}</code>) for immutability</li> <li>Use <code>Field()</code> with descriptions for all model fields</li> <li>Validate with <code>ge=</code>, <code>le=</code>, <code>min_length=</code>, <code>max_length=</code> constraints</li> </ul>"},{"location":"contributing/code-style/#async-patterns","title":"Async Patterns","text":"<ul> <li>ALL I/O operations must be async (<code>async def</code>, <code>await</code>)</li> <li>Use <code>asyncio.gather()</code> for parallel operations</li> <li>CPU-bound work (embeddings, parsing) must use <code>run_in_executor()</code>:</li> </ul> <pre><code>loop = asyncio.get_running_loop()\nresult = await loop.run_in_executor(None, cpu_bound_function, args)\n</code></pre> <ul> <li>Never block the event loop with synchronous I/O</li> </ul>"},{"location":"contributing/code-style/#common-pitfalls","title":"Common Pitfalls","text":"<ol> <li>Blocking the event loop: Never use sync I/O in async functions</li> <li>Missing type hints: All functions must have complete type annotations</li> <li>Global mutable state: Use ContextVar or pass via parameters</li> <li>Import errors: Lazy-load optional dependencies (magentic, modal, embeddings)</li> </ol>"},{"location":"contributing/code-style/#see-also","title":"See Also","text":"<ul> <li>Error Handling - Error handling guidelines</li> <li>Implementation Patterns - Common patterns</li> </ul>"},{"location":"contributing/error-handling/","title":"Error Handling &amp; Logging","text":"<p>This document outlines error handling and logging conventions for The DETERMINATOR.</p>"},{"location":"contributing/error-handling/#exception-hierarchy","title":"Exception Hierarchy","text":"<p>Use custom exception hierarchy (<code>src/utils/exceptions.py</code>):</p>"},{"location":"contributing/error-handling/#error-handling-rules","title":"Error Handling Rules","text":"<ul> <li>Always chain exceptions: <code>raise SearchError(...) from e</code></li> <li>Log errors with context using <code>structlog</code>:</li> </ul> <pre><code>logger.error(\"Operation failed\", error=str(e), context=value)\n</code></pre> <ul> <li>Never silently swallow exceptions</li> <li>Provide actionable error messages</li> </ul>"},{"location":"contributing/error-handling/#logging","title":"Logging","text":"<ul> <li>Use <code>structlog</code> for all logging (NOT <code>print</code> or <code>logging</code>)</li> <li>Import: <code>import structlog; logger = structlog.get_logger()</code></li> <li>Log with structured data: <code>logger.info(\"event\", key=value)</code></li> <li>Use appropriate levels: DEBUG, INFO, WARNING, ERROR</li> </ul>"},{"location":"contributing/error-handling/#logging-examples","title":"Logging Examples","text":"<pre><code>logger.info(\"Starting search\", query=query, tools=[t.name for t in tools])\nlogger.warning(\"Search tool failed\", tool=tool.name, error=str(result))\nlogger.error(\"Assessment failed\", error=str(e))\n</code></pre>"},{"location":"contributing/error-handling/#error-chaining","title":"Error Chaining","text":"<p>Always preserve exception context:</p> <pre><code>try:\n    result = await api_call()\nexcept httpx.HTTPError as e:\n    raise SearchError(f\"API call failed: {e}\") from e\n</code></pre>"},{"location":"contributing/error-handling/#see-also","title":"See Also","text":"<ul> <li>Code Style - Code style guidelines</li> <li>Testing - Testing guidelines</li> </ul>"},{"location":"contributing/implementation-patterns/","title":"Implementation Patterns","text":"<p>This document outlines common implementation patterns used in The DETERMINATOR.</p>"},{"location":"contributing/implementation-patterns/#search-tools","title":"Search Tools","text":"<p>All tools implement <code>SearchTool</code> protocol (<code>src/tools/base.py</code>):</p> <ul> <li>Must have <code>name</code> property</li> <li>Must implement <code>async def search(query, max_results) -&gt; list[Evidence]</code></li> <li>Use <code>@retry</code> decorator from tenacity for resilience</li> <li>Rate limiting: Implement <code>_rate_limit()</code> for APIs with limits (e.g., PubMed)</li> <li>Error handling: Raise <code>SearchError</code> or <code>RateLimitError</code> on failures</li> </ul> <p>Example pattern:</p> <pre><code>class MySearchTool:\n    @property\n    def name(self) -&gt; str:\n        return \"mytool\"\n    \n    @retry(stop=stop_after_attempt(3), wait=wait_exponential(...))\n    async def search(self, query: str, max_results: int = 10) -&gt; list[Evidence]:\n        # Implementation\n        return evidence_list\n</code></pre>"},{"location":"contributing/implementation-patterns/#judge-handlers","title":"Judge Handlers","text":"<ul> <li>Implement <code>JudgeHandlerProtocol</code> (<code>async def assess(question, evidence) -&gt; JudgeAssessment</code>)</li> <li>Use pydantic-ai <code>Agent</code> with <code>output_type=JudgeAssessment</code></li> <li>System prompts in <code>src/prompts/judge.py</code></li> <li>Support fallback handlers: <code>MockJudgeHandler</code>, <code>HFInferenceJudgeHandler</code></li> <li>Always return valid <code>JudgeAssessment</code> (never raise exceptions)</li> </ul>"},{"location":"contributing/implementation-patterns/#agent-factory-pattern","title":"Agent Factory Pattern","text":"<ul> <li>Use factory functions for creating agents (<code>src/agent_factory/</code>)</li> <li>Lazy initialization for optional dependencies (e.g., embeddings, Modal)</li> <li>Check requirements before initialization:</li> </ul>"},{"location":"contributing/implementation-patterns/#state-management","title":"State Management","text":"<ul> <li>Magentic Mode: Use <code>ContextVar</code> for thread-safe state (<code>src/agents/state.py</code>)</li> <li>Simple Mode: Pass state via function parameters</li> <li>Never use global mutable state (except singletons via <code>@lru_cache</code>)</li> </ul>"},{"location":"contributing/implementation-patterns/#singleton-pattern","title":"Singleton Pattern","text":"<p>Use <code>@lru_cache(maxsize=1)</code> for singletons:</p> <ul> <li>Lazy initialization to avoid requiring dependencies at import time</li> </ul>"},{"location":"contributing/implementation-patterns/#see-also","title":"See Also","text":"<ul> <li>Code Style - Code style guidelines</li> <li>Error Handling - Error handling guidelines</li> </ul>"},{"location":"contributing/prompt-engineering/","title":"Prompt Engineering &amp; Citation Validation","text":"<p>This document outlines prompt engineering guidelines and citation validation rules.</p>"},{"location":"contributing/prompt-engineering/#judge-prompts","title":"Judge Prompts","text":"<ul> <li>System prompt in <code>src/prompts/judge.py</code></li> <li>Format evidence with truncation (1500 chars per item)</li> <li>Handle empty evidence case separately</li> <li>Always request structured JSON output</li> <li>Use <code>format_user_prompt()</code> and <code>format_empty_evidence_prompt()</code> helpers</li> </ul>"},{"location":"contributing/prompt-engineering/#hypothesis-prompts","title":"Hypothesis Prompts","text":"<ul> <li>Use diverse evidence selection (MMR algorithm)</li> <li>Sentence-aware truncation (<code>truncate_at_sentence()</code>)</li> <li>Format: Drug \u2192 Target \u2192 Pathway \u2192 Effect</li> <li>System prompt emphasizes mechanistic reasoning</li> <li>Use <code>format_hypothesis_prompt()</code> with embeddings for diversity</li> </ul>"},{"location":"contributing/prompt-engineering/#report-prompts","title":"Report Prompts","text":"<ul> <li>Include full citation details for validation</li> <li>Use diverse evidence selection (n=20)</li> <li>CRITICAL: Emphasize citation validation rules</li> <li>Format hypotheses with support/contradiction counts</li> <li>System prompt includes explicit JSON structure requirements</li> </ul>"},{"location":"contributing/prompt-engineering/#citation-validation","title":"Citation Validation","text":"<ul> <li>ALWAYS validate references before returning reports</li> <li>Use <code>validate_references()</code> from <code>src/utils/citation_validator.py</code></li> <li>Remove hallucinated citations (URLs not in evidence)</li> <li>Log warnings for removed citations</li> <li>Never trust LLM-generated citations without validation</li> </ul>"},{"location":"contributing/prompt-engineering/#citation-validation-rules","title":"Citation Validation Rules","text":"<ol> <li>Every reference URL must EXACTLY match a provided evidence URL</li> <li>Do NOT invent, fabricate, or hallucinate any references</li> <li>Do NOT modify paper titles, authors, dates, or URLs</li> <li>If unsure about a citation, OMIT it rather than guess</li> <li>Copy URLs exactly as provided - do not create similar-looking URLs</li> </ol>"},{"location":"contributing/prompt-engineering/#evidence-selection","title":"Evidence Selection","text":"<ul> <li>Use <code>select_diverse_evidence()</code> for MMR-based selection</li> <li>Balance relevance vs diversity (lambda=0.7 default)</li> <li>Sentence-aware truncation preserves meaning</li> <li>Limit evidence per prompt to avoid context overflow</li> </ul>"},{"location":"contributing/prompt-engineering/#see-also","title":"See Also","text":"<ul> <li>Code Quality - Code quality guidelines</li> <li>Error Handling - Error handling guidelines</li> </ul>"},{"location":"contributing/testing/","title":"Testing Requirements","text":"<p>This document outlines testing requirements and guidelines for The DETERMINATOR.</p>"},{"location":"contributing/testing/#test-structure","title":"Test Structure","text":"<ul> <li>Unit tests in <code>tests/unit/</code> (mocked, fast)</li> <li>Integration tests in <code>tests/integration/</code> (real APIs, marked <code>@pytest.mark.integration</code>)</li> <li>Use markers: <code>unit</code>, <code>integration</code>, <code>slow</code>, <code>openai</code>, <code>huggingface</code>, <code>embedding_provider</code>, <code>local_embeddings</code></li> </ul>"},{"location":"contributing/testing/#test-markers","title":"Test Markers","text":"<p>The project uses pytest markers to categorize tests. These markers are defined in <code>pyproject.toml</code>:</p> <ul> <li><code>@pytest.mark.unit</code>: Unit tests (mocked, fast) - Run with <code>-m \"unit\"</code></li> <li><code>@pytest.mark.integration</code>: Integration tests (real APIs) - Run with <code>-m \"integration\"</code></li> <li><code>@pytest.mark.slow</code>: Slow tests - Run with <code>-m \"slow\"</code></li> <li><code>@pytest.mark.openai</code>: Tests requiring OpenAI API key - Run with <code>-m \"openai\"</code> or exclude with <code>-m \"not openai\"</code></li> <li><code>@pytest.mark.huggingface</code>: Tests requiring HuggingFace API key or using HuggingFace models - Run with <code>-m \"huggingface\"</code></li> <li><code>@pytest.mark.embedding_provider</code>: Tests requiring API-based embedding providers (OpenAI, etc.) - Run with <code>-m \"embedding_provider\"</code></li> <li><code>@pytest.mark.local_embeddings</code>: Tests using local embeddings (sentence-transformers, ChromaDB) - Run with <code>-m \"local_embeddings\"</code></li> </ul>"},{"location":"contributing/testing/#running-tests-by-marker","title":"Running Tests by Marker","text":"<pre><code># Run only unit tests (excludes OpenAI tests by default)\nuv run pytest tests/unit/ -v -m \"not openai\" -p no:logfire\n\n# Run HuggingFace tests\nuv run pytest tests/ -v -m \"huggingface\" -p no:logfire\n\n# Run all tests\nuv run pytest tests/ -v -p no:logfire\n\n# Run only local embedding tests\nuv run pytest tests/ -v -m \"local_embeddings\" -p no:logfire\n\n# Exclude slow tests\nuv run pytest tests/ -v -m \"not slow\" -p no:logfire\n</code></pre> <p>Note: The <code>-p no:logfire</code> flag disables the logfire plugin to avoid conflicts during testing.</p>"},{"location":"contributing/testing/#mocking","title":"Mocking","text":"<ul> <li>Use <code>respx</code> for httpx mocking</li> <li>Use <code>pytest-mock</code> for general mocking</li> <li>Mock LLM calls in unit tests (use <code>MockJudgeHandler</code>)</li> <li>Fixtures in <code>tests/conftest.py</code>: <code>mock_httpx_client</code>, <code>mock_llm_response</code></li> </ul>"},{"location":"contributing/testing/#tdd-workflow","title":"TDD Workflow","text":"<ol> <li>Write failing test in <code>tests/unit/</code></li> <li>Implement in <code>src/</code></li> <li>Ensure test passes</li> <li>Run checks: <code>uv run ruff check src tests &amp;&amp; uv run mypy src &amp;&amp; uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire</code></li> </ol>"},{"location":"contributing/testing/#test-command-examples","title":"Test Command Examples","text":"<pre><code># Run unit tests (default, excludes OpenAI tests)\nuv run pytest tests/unit/ -v -m \"not openai\" -p no:logfire\n\n# Run HuggingFace tests\nuv run pytest tests/ -v -m \"huggingface\" -p no:logfire\n\n# Run all tests\nuv run pytest tests/ -v -p no:logfire\n</code></pre>"},{"location":"contributing/testing/#test-examples","title":"Test Examples","text":"<pre><code>@pytest.mark.unit\nasync def test_pubmed_search(mock_httpx_client):\n    tool = PubMedTool()\n    results = await tool.search(\"metformin\", max_results=5)\n    assert len(results) &gt; 0\n    assert all(isinstance(r, Evidence) for r in results)\n\n@pytest.mark.integration\nasync def test_real_pubmed_search():\n    tool = PubMedTool()\n    results = await tool.search(\"metformin\", max_results=3)\n    assert len(results) &lt;= 3\n</code></pre>"},{"location":"contributing/testing/#test-coverage","title":"Test Coverage","text":""},{"location":"contributing/testing/#terminal-coverage-report","title":"Terminal Coverage Report","text":"<pre><code>uv run pytest --cov=src --cov-report=term-missing tests/unit/ -v -m \"not openai\" -p no:logfire\n</code></pre> <p>This shows coverage with missing lines highlighted in the terminal output.</p>"},{"location":"contributing/testing/#html-coverage-report","title":"HTML Coverage Report","text":"<pre><code>uv run pytest --cov=src --cov-report=html -p no:logfire\n</code></pre> <p>This generates an HTML coverage report in <code>htmlcov/index.html</code>. Open this file in your browser to see detailed coverage information.</p>"},{"location":"contributing/testing/#coverage-goals","title":"Coverage Goals","text":"<ul> <li>Aim for &gt;80% coverage on critical paths</li> <li>Exclude: <code>__init__.py</code>, <code>TYPE_CHECKING</code> blocks</li> <li>Coverage configuration is in <code>pyproject.toml</code> under <code>[tool.coverage.*]</code></li> </ul>"},{"location":"contributing/testing/#see-also","title":"See Also","text":"<ul> <li>Code Style - Code style guidelines</li> <li>Implementation Patterns - Common patterns</li> </ul>"},{"location":"getting-started/examples/","title":"Examples","text":"<p>This page provides examples of using The DETERMINATOR for various research tasks.</p>"},{"location":"getting-started/examples/#basic-research-query","title":"Basic Research Query","text":""},{"location":"getting-started/examples/#example-1-drug-information","title":"Example 1: Drug Information","text":"<p>Query: <pre><code>What are the latest treatments for Alzheimer's disease?\n</code></pre></p> <p>What The DETERMINATOR Does: 1. Searches PubMed for recent papers 2. Searches ClinicalTrials.gov for active trials 3. Evaluates evidence quality 4. Synthesizes findings into a comprehensive report</p>"},{"location":"getting-started/examples/#example-2-clinical-trial-search","title":"Example 2: Clinical Trial Search","text":"<p>Query: <pre><code>What clinical trials are investigating metformin for cancer prevention?\n</code></pre></p> <p>What The DETERMINATOR Does:</p> <ol> <li>Searches ClinicalTrials.gov for relevant trials</li> <li>Searches PubMed for supporting literature</li> <li>Provides trial details and status</li> <li>Summarizes findings</li> </ol>"},{"location":"getting-started/examples/#advanced-research-queries","title":"Advanced Research Queries","text":""},{"location":"getting-started/examples/#example-3-comprehensive-review","title":"Example 3: Comprehensive Review","text":"<p>Query:</p> <pre><code>Review the evidence for using metformin as an anti-aging intervention, \nincluding clinical trials, mechanisms of action, and safety profile.\n</code></pre> <p>What The DETERMINATOR Does: 1. Uses deep research mode (multi-section) 2. Searches multiple sources in parallel 3. Generates sections on:    - Clinical trials    - Mechanisms of action    - Safety profile 4. Synthesizes comprehensive report</p>"},{"location":"getting-started/examples/#example-4-hypothesis-testing","title":"Example 4: Hypothesis Testing","text":"<p>Query: <pre><code>Test the hypothesis that regular exercise reduces Alzheimer's disease risk.\n</code></pre></p> <p>What The DETERMINATOR Does: 1. Generates testable hypotheses 2. Searches for supporting/contradicting evidence 3. Performs statistical analysis (if Modal configured) 4. Provides verdict: SUPPORTED, REFUTED, or INCONCLUSIVE</p>"},{"location":"getting-started/examples/#mcp-tool-examples","title":"MCP Tool Examples","text":""},{"location":"getting-started/examples/#using-search_pubmed","title":"Using search_pubmed","text":"<pre><code>Search PubMed for \"CRISPR gene editing cancer therapy\"\n</code></pre>"},{"location":"getting-started/examples/#using-search_clinical_trials","title":"Using search_clinical_trials","text":"<pre><code>Find active clinical trials for \"diabetes type 2 treatment\"\n</code></pre>"},{"location":"getting-started/examples/#using-search_all","title":"Using search_all","text":"<pre><code>Search all sources for \"COVID-19 vaccine side effects\"\n</code></pre>"},{"location":"getting-started/examples/#using-analyze_hypothesis","title":"Using analyze_hypothesis","text":"<pre><code>Analyze whether vitamin D supplementation reduces COVID-19 severity\n</code></pre>"},{"location":"getting-started/examples/#code-examples","title":"Code Examples","text":""},{"location":"getting-started/examples/#python-api-usage","title":"Python API Usage","text":"<pre><code>from src.orchestrator_factory import create_orchestrator\nfrom src.tools.search_handler import SearchHandler\nfrom src.agent_factory.judges import create_judge_handler\n\n# Create orchestrator\nsearch_handler = SearchHandler()\njudge_handler = create_judge_handler()\n</code></pre> <pre><code># Run research query\nquery = \"What are the latest treatments for Alzheimer's disease?\"\nasync for event in orchestrator.run(query):\n    print(f\"Event: {event.type} - {event.data}\")\n</code></pre>"},{"location":"getting-started/examples/#gradio-ui-integration","title":"Gradio UI Integration","text":"<pre><code>import gradio as gr\nfrom src.app import create_research_interface\n\n# Create interface\ninterface = create_research_interface()\n\n# Launch\ninterface.launch(server_name=\"0.0.0.0\", server_port=7860)\n</code></pre>"},{"location":"getting-started/examples/#research-patterns","title":"Research Patterns","text":""},{"location":"getting-started/examples/#iterative-research","title":"Iterative Research","text":"<p>Single-loop research with search-judge-synthesize cycles:</p> <pre><code>from src.orchestrator.research_flow import IterativeResearchFlow\n</code></pre> <pre><code>async for event in flow.run(query):\n    # Handle events\n    pass\n</code></pre>"},{"location":"getting-started/examples/#deep-research","title":"Deep Research","text":"<p>Multi-section parallel research:</p> <pre><code>from src.orchestrator.research_flow import DeepResearchFlow\n</code></pre> <pre><code>async for event in flow.run(query):\n    # Handle events\n    pass\n</code></pre>"},{"location":"getting-started/examples/#configuration-examples","title":"Configuration Examples","text":""},{"location":"getting-started/examples/#basic-configuration","title":"Basic Configuration","text":"<pre><code># .env file\nLLM_PROVIDER=openai\nOPENAI_API_KEY=your_key_here\nMAX_ITERATIONS=10\n</code></pre>"},{"location":"getting-started/examples/#advanced-configuration","title":"Advanced Configuration","text":"<pre><code># .env file\nLLM_PROVIDER=anthropic\nANTHROPIC_API_KEY=your_key_here\nEMBEDDING_PROVIDER=local\nWEB_SEARCH_PROVIDER=duckduckgo\nMAX_ITERATIONS=20\nDEFAULT_TOKEN_LIMIT=200000\nUSE_GRAPH_EXECUTION=true\n</code></pre>"},{"location":"getting-started/examples/#next-steps","title":"Next Steps","text":"<ul> <li>Read the Configuration Guide for all options</li> <li>Explore the Architecture Documentation</li> <li>Check out the API Reference for programmatic usage</li> </ul>"},{"location":"getting-started/installation/","title":"Installation","text":"<p>This guide will help you install and set up DeepCritical on your system.</p>"},{"location":"getting-started/installation/#prerequisites","title":"Prerequisites","text":"<ul> <li>Python 3.11 or higher</li> <li><code>uv</code> package manager (recommended) or <code>pip</code></li> <li>At least one LLM API key (OpenAI, Anthropic, or HuggingFace)</li> </ul>"},{"location":"getting-started/installation/#installation-steps","title":"Installation Steps","text":""},{"location":"getting-started/installation/#1-install-uv-recommended","title":"1. Install uv (Recommended)","text":"<p><code>uv</code> is a fast Python package installer and resolver. Install it using the standalone installer (recommended):</p> <p>Unix/macOS/Linux: <pre><code>curl -LsSf https://astral.sh/uv/install.sh | sh\n</code></pre></p> <p>Windows (PowerShell): <pre><code>powershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n</code></pre></p> <p>Alternative methods: <pre><code># Using pipx (recommended if you have pipx installed)\npipx install uv\n\n# Or using pip\npip install uv\n</code></pre></p> <p>After installation, restart your terminal or add <code>~/.cargo/bin</code> to your PATH.</p>"},{"location":"getting-started/installation/#2-clone-the-repository","title":"2. Clone the Repository","text":"<pre><code>git clone https://github.com/DeepCritical/GradioDemo.git\ncd GradioDemo\n</code></pre>"},{"location":"getting-started/installation/#3-install-dependencies","title":"3. Install Dependencies","text":"<p>Using <code>uv</code> (recommended):</p> <pre><code>uv sync\n</code></pre> <p>Using <code>pip</code>:</p> <pre><code>pip install -e .\n</code></pre>"},{"location":"getting-started/installation/#4-install-optional-dependencies","title":"4. Install Optional Dependencies","text":"<p>For embeddings support (local sentence-transformers):</p> <pre><code>uv sync --extra embeddings\n</code></pre> <p>For Modal sandbox execution:</p> <pre><code>uv sync --extra modal\n</code></pre> <p>For Magentic orchestration:</p> <pre><code>uv sync --extra magentic\n</code></pre> <p>Install all extras:</p> <pre><code>uv sync --all-extras\n</code></pre>"},{"location":"getting-started/installation/#5-configure-environment-variables","title":"5. Configure Environment Variables","text":"<p>Create a <code>.env</code> file in the project root:</p> <pre><code># Required: At least one LLM provider\nLLM_PROVIDER=openai  # or \"anthropic\" or \"huggingface\"\nOPENAI_API_KEY=your_openai_api_key_here\n\n# Optional: Other services\nNCBI_API_KEY=your_ncbi_api_key_here  # For higher PubMed rate limits\nMODAL_TOKEN_ID=your_modal_token_id\nMODAL_TOKEN_SECRET=your_modal_token_secret\n</code></pre> <p>See the Configuration Guide for all available options.</p>"},{"location":"getting-started/installation/#6-verify-installation","title":"6. Verify Installation","text":"<p>Run the application:</p> <pre><code>uv run gradio run src/app.py\n</code></pre> <p>Open your browser to <code>http://localhost:7860</code> to verify the installation.</p>"},{"location":"getting-started/installation/#development-setup","title":"Development Setup","text":"<p>For development, install dev dependencies:</p> <pre><code>uv sync --all-extras --dev\n</code></pre> <p>Install pre-commit hooks:</p> <pre><code>uv run pre-commit install\n</code></pre>"},{"location":"getting-started/installation/#troubleshooting","title":"Troubleshooting","text":""},{"location":"getting-started/installation/#common-issues","title":"Common Issues","text":"<p>Import Errors: - Ensure you've installed all required dependencies - Check that Python 3.11+ is being used</p> <p>API Key Errors: - Verify your <code>.env</code> file is in the project root - Check that API keys are correctly formatted - Ensure at least one LLM provider is configured</p> <p>Module Not Found: - Run <code>uv sync</code> or <code>pip install -e .</code> again - Check that you're in the correct virtual environment</p> <p>Port Already in Use: - Change the port in <code>src/app.py</code> or use environment variable - Kill the process using port 7860</p>"},{"location":"getting-started/installation/#next-steps","title":"Next Steps","text":"<ul> <li>Read the Quick Start Guide</li> <li>Learn about MCP Integration</li> <li>Explore Examples</li> </ul>"},{"location":"getting-started/mcp-integration/","title":"MCP Integration","text":"<p>The DETERMINATOR exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.</p>"},{"location":"getting-started/mcp-integration/#what-is-mcp","title":"What is MCP?","text":"<p>The Model Context Protocol (MCP) is a standard for connecting AI assistants to external tools and data sources. The DETERMINATOR implements an MCP server that exposes its search capabilities as MCP tools.</p>"},{"location":"getting-started/mcp-integration/#mcp-server-url","title":"MCP Server URL","text":"<p>When running locally:</p> <pre><code>http://localhost:7860/gradio_api/mcp/\n</code></pre>"},{"location":"getting-started/mcp-integration/#claude-desktop-configuration","title":"Claude Desktop Configuration","text":""},{"location":"getting-started/mcp-integration/#1-locate-configuration-file","title":"1. Locate Configuration File","text":"<p>macOS: <pre><code>~/Library/Application Support/Claude/claude_desktop_config.json\n</code></pre></p> <p>Windows: <pre><code>%APPDATA%\\Claude\\claude_desktop_config.json\n</code></pre></p> <p>Linux: <pre><code>~/.config/Claude/claude_desktop_config.json\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#2-add-the-determinator-server","title":"2. Add The DETERMINATOR Server","text":"<p>Edit <code>claude_desktop_config.json</code> and add:</p> <pre><code>{\n  \"mcpServers\": {\n    \"determinator\": {\n      \"url\": \"http://localhost:7860/gradio_api/mcp/\"\n    }\n  }\n}\n</code></pre>"},{"location":"getting-started/mcp-integration/#3-restart-claude-desktop","title":"3. Restart Claude Desktop","text":"<p>Close and restart Claude Desktop for changes to take effect.</p>"},{"location":"getting-started/mcp-integration/#4-verify-connection","title":"4. Verify Connection","text":"<p>In Claude Desktop, you should see The DETERMINATOR tools available: - <code>search_pubmed</code> - <code>search_clinical_trials</code> - <code>search_biorxiv</code> - <code>search_all</code> - <code>analyze_hypothesis</code></p>"},{"location":"getting-started/mcp-integration/#available-tools","title":"Available Tools","text":""},{"location":"getting-started/mcp-integration/#search_pubmed","title":"search_pubmed","text":"<p>Search peer-reviewed biomedical literature from PubMed.</p> <p>Parameters: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p>Example: <pre><code>Search PubMed for \"metformin diabetes\"\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#search_clinical_trials","title":"search_clinical_trials","text":"<p>Search ClinicalTrials.gov for interventional studies.</p> <p>Parameters: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p>Example: <pre><code>Search clinical trials for \"Alzheimer's disease treatment\"\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#search_biorxiv","title":"search_biorxiv","text":"<p>Search bioRxiv/medRxiv preprints via Europe PMC.</p> <p>Parameters: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results (default: 10)</p> <p>Example: <pre><code>Search bioRxiv for \"CRISPR gene editing\"\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#search_all","title":"search_all","text":"<p>Search all sources simultaneously (PubMed, ClinicalTrials.gov, Europe PMC).</p> <p>Parameters: - <code>query</code> (string): Search query - <code>max_results</code> (integer, optional): Maximum number of results per source (default: 10)</p> <p>Example: <pre><code>Search all sources for \"COVID-19 vaccine efficacy\"\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#analyze_hypothesis","title":"analyze_hypothesis","text":"<p>Perform secure statistical analysis using Modal sandboxes.</p> <p>Parameters: - <code>hypothesis</code> (string): Hypothesis to analyze - <code>data</code> (string, optional): Data description or code</p> <p>Example: <pre><code>Analyze the hypothesis that metformin reduces cancer risk\n</code></pre></p>"},{"location":"getting-started/mcp-integration/#using-tools-in-claude-desktop","title":"Using Tools in Claude Desktop","text":"<p>Once configured, you can ask Claude to use DeepCritical tools:</p> <pre><code>Use DeepCritical to search PubMed for recent papers on Alzheimer's disease treatments.\n</code></pre> <p>Claude will automatically: 1. Call the appropriate DeepCritical tool 2. Retrieve results 3. Use the results in its response</p>"},{"location":"getting-started/mcp-integration/#troubleshooting","title":"Troubleshooting","text":""},{"location":"getting-started/mcp-integration/#connection-issues","title":"Connection Issues","text":"<p>Server Not Found: - Ensure DeepCritical is running (<code>uv run gradio run src/app.py</code>) - Verify the URL in <code>claude_desktop_config.json</code> is correct - Check that port 7860 is not blocked by firewall</p> <p>Tools Not Appearing: - Restart Claude Desktop after configuration changes - Check Claude Desktop logs for errors - Verify MCP server is accessible at the configured URL</p>"},{"location":"getting-started/mcp-integration/#authentication","title":"Authentication","text":"<p>If DeepCritical requires authentication: - Configure API keys in DeepCritical settings - Use HuggingFace OAuth login - Ensure API keys are valid</p>"},{"location":"getting-started/mcp-integration/#advanced-configuration","title":"Advanced Configuration","text":""},{"location":"getting-started/mcp-integration/#custom-port","title":"Custom Port","text":"<p>If running on a different port, update the URL:</p> <pre><code>{\n  \"mcpServers\": {\n    \"deepcritical\": {\n      \"url\": \"http://localhost:8080/gradio_api/mcp/\"\n    }\n  }\n}\n</code></pre>"},{"location":"getting-started/mcp-integration/#multiple-instances","title":"Multiple Instances","text":"<p>You can configure multiple DeepCritical instances:</p> <pre><code>{\n  \"mcpServers\": {\n    \"deepcritical-local\": {\n      \"url\": \"http://localhost:7860/gradio_api/mcp/\"\n    },\n    \"deepcritical-remote\": {\n      \"url\": \"https://your-server.com/gradio_api/mcp/\"\n    }\n  }\n}\n</code></pre>"},{"location":"getting-started/mcp-integration/#next-steps","title":"Next Steps","text":"<ul> <li>Learn about Configuration for advanced settings</li> <li>Explore Examples for use cases</li> <li>Read the Architecture Documentation</li> </ul>"},{"location":"getting-started/quick-start/","title":"Single Command Deploy","text":"<p>Deploy with docker instandly with a single command :</p> <pre><code>docker run -it -p 7860:7860 --platform=linux/amd64 \\\n    -e DB_KEY=\"YOUR_VALUE_HERE\" \\\n    -e SERP_API=\"YOUR_VALUE_HERE\" \\\n    -e INFERENCE_API=\"YOUR_VALUE_HERE\" \\\n    -e MODAL_TOKEN_ID=\"YOUR_VALUE_HERE\" \\\n    -e MODAL_TOKEN_SECRET=\"YOUR_VALUE_HERE\" \\\n    -e NCBI_API_KEY=\"YOUR_VALUE_HERE\" \\\n    -e SERPER_API_KEY=\"YOUR_VALUE_HERE\" \\\n    -e CHROMA_DB_PATH=\"./chroma_db\" \\\n    -e CHROMA_DB_HOST=\"localhost\" \\\n    -e CHROMA_DB_PORT=\"8000\" \\\n    -e RAG_COLLECTION_NAME=\"deepcritical_evidence\" \\\n    -e RAG_SIMILARITY_TOP_K=\"5\" \\\n    -e RAG_AUTO_INGEST=\"true\" \\\n    -e USE_GRAPH_EXECUTION=\"false\" \\\n    -e DEFAULT_TOKEN_LIMIT=\"100000\" \\\n    -e DEFAULT_TIME_LIMIT_MINUTES=\"10\" \\\n    -e DEFAULT_ITERATIONS_LIMIT=\"10\" \\\n    -e WEB_SEARCH_PROVIDER=\"duckduckgo\" \\\n    -e MAX_ITERATIONS=\"10\" \\\n    -e SEARCH_TIMEOUT=\"30\" \\\n    -e LOG_LEVEL=\"DEBUG\" \\\n    -e EMBEDDING_PROVIDER=\"local\" \\\n    -e OPENAI_EMBEDDING_MODEL=\"text-embedding-3-small\" \\\n    -e LOCAL_EMBEDDING_MODEL=\"BAAI/bge-small-en-v1.5\" \\\n    -e HUGGINGFACE_EMBEDDING_MODEL=\"sentence-transformers/all-MiniLM-L6-v2\" \\\n    -e HF_FALLBACK_MODELS=\"Qwen/Qwen3-Next-80B-A3B-Thinking,Qwen/Qwen3-Next-80B-A3B-Instruct,meta-llama/Llama-3.3-70B-Instruct,meta-llama/Llama-3.1-8B-Instruct,HuggingFaceH4/zephyr-7b-beta,Qwen/Qwen2-7B-Instruct\" \\\n    -e HUGGINGFACE_MODEL=\"Qwen/Qwen3-Next-80B-A3B-Thinking\" \\\n    registry.hf.space/dataquests-deepcritical:latest python src/app.py\n   ```\n\n## Quick start guide\n\nGet up and running with The DETERMINATOR in minutes.\n\n## Start the Application\n\n```bash\ngradio src/app.py\n</code></pre> <p>Open your browser to <code>http://localhost:7860</code>.</p>"},{"location":"getting-started/quick-start/#first-research-query","title":"First Research Query","text":"<ol> <li>Enter a Research Question</li> </ol> <p>Type your research question in the chat interface, for example:    - \"What are the latest treatments for Alzheimer's disease?\"    - \"Review the evidence for metformin in cancer prevention\"    - \"What clinical trials are investigating COVID-19 vaccines?\"</p> <ol> <li>Submit the Query</li> </ol> <p>Click \"Submit\" or press Enter. The system will:    - Generate observations about your query    - Identify knowledge gaps    - Search multiple sources (PubMed, ClinicalTrials.gov, Europe PMC)    - Evaluate evidence quality    - Synthesize findings into a report</p> <ol> <li>Review Results</li> </ol> <p>Watch the real-time progress in the chat interface:    - Search operations and results    - Evidence evaluation    - Report generation    - Final research report with citations</p>"},{"location":"getting-started/quick-start/#authentication","title":"Authentication","text":""},{"location":"getting-started/quick-start/#huggingface-oauth-recommended","title":"HuggingFace OAuth (Recommended)","text":"<ol> <li>Click \"Sign in with HuggingFace\" at the top of the app</li> <li>Authorize the application</li> <li>Your HuggingFace API token will be automatically used</li> <li>No need to manually enter API keys</li> </ol>"},{"location":"getting-started/quick-start/#manual-api-key","title":"Manual API Key","text":"<ol> <li>Open the Settings accordion</li> <li>Enter your API key:</li> <li>OpenAI API key</li> <li>Anthropic API key</li> <li>HuggingFace API key</li> <li>Click \"Save Settings\"</li> <li>Manual keys take priority over OAuth tokens</li> </ol>"},{"location":"getting-started/quick-start/#understanding-the-interface","title":"Understanding the Interface","text":""},{"location":"getting-started/quick-start/#chat-interface","title":"Chat Interface","text":"<ul> <li>Input: Enter your research questions here</li> <li>Messages: View conversation history and research progress</li> <li>Streaming: Real-time updates as research progresses</li> </ul>"},{"location":"getting-started/quick-start/#status-indicators","title":"Status Indicators","text":"<ul> <li>Searching: Active search operations</li> <li>Evaluating: Evidence quality assessment</li> <li>Synthesizing: Report generation</li> <li>Complete: Research finished</li> </ul>"},{"location":"getting-started/quick-start/#settings","title":"Settings","text":"<ul> <li>API Keys: Configure LLM providers</li> <li>Research Mode: Choose iterative or deep research</li> <li>Budget Limits: Set token, time, and iteration limits</li> </ul>"},{"location":"getting-started/quick-start/#example-queries","title":"Example Queries","text":""},{"location":"getting-started/quick-start/#simple-query","title":"Simple Query","text":"<pre><code>What are the side effects of metformin?\n</code></pre>"},{"location":"getting-started/quick-start/#complex-query","title":"Complex Query","text":"<pre><code>Review the evidence for using metformin as an anti-aging intervention, \nincluding clinical trials, mechanisms of action, and safety profile.\n</code></pre>"},{"location":"getting-started/quick-start/#clinical-trial-query","title":"Clinical Trial Query","text":"<pre><code>What are the active clinical trials investigating Alzheimer's disease treatments?\n</code></pre>"},{"location":"getting-started/quick-start/#next-steps","title":"Next Steps","text":"<ul> <li>Learn about MCP Integration to use The DETERMINATOR from Claude Desktop</li> <li>Explore Examples for more use cases</li> <li>Read the Configuration Guide for advanced settings</li> <li>Check out the Architecture Documentation to understand how it works</li> </ul>"},{"location":"overview/architecture/","title":"Architecture Overview","text":"<p>The DETERMINATOR is a powerful generalist deep research agent system that uses iterative search-and-judge loops to comprehensively investigate any research question. It stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations). The system automatically determines if medical knowledge sources are needed and adapts its search strategy accordingly. It supports multiple orchestration patterns, graph-based execution, parallel research workflows, and long-running task management with real-time streaming.</p>"},{"location":"overview/architecture/#core-architecture","title":"Core Architecture","text":""},{"location":"overview/architecture/#orchestration-patterns","title":"Orchestration Patterns","text":"<ol> <li>Graph Orchestrator (<code>src/orchestrator/graph_orchestrator.py</code>):</li> <li>Graph-based execution using Pydantic AI agents as nodes</li> <li>Supports both iterative and deep research patterns</li> <li>Node types: Agent, State, Decision, Parallel</li> <li>Edge types: Sequential, Conditional, Parallel</li> <li>Conditional routing based on knowledge gaps, budget, and iterations</li> <li>Parallel execution for concurrent research loops</li> <li>Event streaming via <code>AsyncGenerator[AgentEvent]</code> for real-time UI updates</li> <li> <p>Fallback to agent chains when graph execution is disabled</p> </li> <li> <p>Deep Research Flow (<code>src/orchestrator/research_flow.py</code>):</p> </li> <li>Pattern: Planner \u2192 Parallel Iterative Loops (one per section) \u2192 Synthesis</li> <li>Uses <code>PlannerAgent</code> to break query into report sections</li> <li>Runs <code>IterativeResearchFlow</code> instances in parallel per section via <code>WorkflowManager</code></li> <li>Synthesizes results using <code>LongWriterAgent</code> or <code>ProofreaderAgent</code></li> <li>Supports both graph execution (<code>use_graph=True</code>) and agent chains (<code>use_graph=False</code>)</li> <li>Budget tracking per section and globally</li> <li> <p>State synchronization across parallel loops</p> </li> <li> <p>Iterative Research Flow (<code>src/orchestrator/research_flow.py</code>):</p> </li> <li>Pattern: Generate observations \u2192 Evaluate gaps \u2192 Select tools \u2192 Execute \u2192 Judge \u2192 Continue/Complete</li> <li>Uses <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>, <code>ThinkingAgent</code>, <code>WriterAgent</code></li> <li><code>JudgeHandler</code> assesses evidence sufficiency</li> <li>Iterates until research complete or constraints met (iterations, time, tokens)</li> <li> <p>Supports graph execution and agent chains</p> </li> <li> <p>Magentic Orchestrator (<code>src/orchestrator_magentic.py</code>):</p> </li> <li>Multi-agent coordination using <code>agent-framework-core</code></li> <li>ChatAgent pattern with internal LLMs per agent</li> <li>Uses <code>MagenticBuilder</code> with participants: searcher, hypothesizer, judge, reporter</li> <li>Manager orchestrates agents via <code>OpenAIChatClient</code></li> <li>Requires OpenAI API key (function calling support)</li> <li>Event-driven: converts Magentic events to <code>AgentEvent</code> for UI streaming</li> <li> <p>Supports long-running workflows with max rounds and stall/reset handling</p> </li> <li> <p>Hierarchical Orchestrator (<code>src/orchestrator_hierarchical.py</code>):</p> </li> <li>Uses <code>SubIterationMiddleware</code> with <code>ResearchTeam</code> and <code>LLMSubIterationJudge</code></li> <li>Adapts Magentic ChatAgent to <code>SubIterationTeam</code> protocol</li> <li>Event-driven via <code>asyncio.Queue</code> for coordination</li> <li> <p>Supports sub-iteration patterns for complex research tasks</p> </li> <li> <p>Legacy Simple Mode (<code>src/legacy_orchestrator.py</code>):</p> </li> <li>Linear search-judge-synthesize loop</li> <li>Uses <code>SearchHandlerProtocol</code> and <code>JudgeHandlerProtocol</code></li> <li>Generator-based design yielding <code>AgentEvent</code> objects</li> <li>Backward compatibility for simple use cases</li> </ol>"},{"location":"overview/architecture/#long-running-task-support","title":"Long-Running Task Support","text":"<p>The system is designed for long-running research tasks with comprehensive state management and streaming:</p> <ol> <li>Event Streaming:</li> <li>All orchestrators yield <code>AgentEvent</code> objects via <code>AsyncGenerator</code></li> <li>Real-time UI updates through Gradio chat interface</li> <li>Event types: <code>started</code>, <code>searching</code>, <code>search_complete</code>, <code>judging</code>, <code>judge_complete</code>, <code>looping</code>, <code>synthesizing</code>, <code>hypothesizing</code>, <code>complete</code>, <code>error</code></li> <li> <p>Metadata includes iteration numbers, tool names, result counts, durations</p> </li> <li> <p>Budget Tracking (<code>src/middleware/budget_tracker.py</code>):</p> </li> <li>Per-loop and global budget management</li> <li>Tracks: tokens, time (seconds), iterations</li> <li>Budget enforcement at decision nodes</li> <li>Token estimation (~4 chars per token)</li> <li>Early termination when budgets exceeded</li> <li> <p>Budget summaries for monitoring</p> </li> <li> <p>Workflow Manager (<code>src/middleware/workflow_manager.py</code>):</p> </li> <li>Coordinates parallel research loops</li> <li>Tracks loop status: <code>pending</code>, <code>running</code>, <code>completed</code>, <code>failed</code>, <code>cancelled</code></li> <li>Synchronizes evidence between loops and global state</li> <li>Handles errors per loop (doesn't fail all if one fails)</li> <li>Supports loop cancellation and timeout handling</li> <li> <p>Evidence deduplication across parallel loops</p> </li> <li> <p>State Management (<code>src/middleware/state_machine.py</code>):</p> </li> <li>Thread-safe isolation using <code>ContextVar</code> for concurrent requests</li> <li><code>WorkflowState</code> tracks: evidence, conversation history, embedding service</li> <li>Evidence deduplication by URL</li> <li>Semantic search via embedding service</li> <li>State persistence across long-running workflows</li> <li> <p>Supports both iterative and deep research patterns</p> </li> <li> <p>Gradio UI (<code>src/app.py</code>):</p> </li> <li>Real-time streaming of research progress</li> <li>Accordion-based UI for pending/done operations</li> <li>OAuth integration (HuggingFace)</li> <li>Multiple backend support (API keys, free tier)</li> <li>Handles long-running tasks with progress indicators</li> <li>Event accumulation for pending operations</li> </ol>"},{"location":"overview/architecture/#graph-architecture","title":"Graph Architecture","text":"<p>The graph orchestrator (<code>src/orchestrator/graph_orchestrator.py</code>) implements a flexible graph-based execution model:</p> <p>Node Types:</p> <ul> <li>Agent Nodes: Execute Pydantic AI agents (e.g., <code>KnowledgeGapAgent</code>, <code>ToolSelectorAgent</code>)</li> <li>State Nodes: Update or read workflow state (evidence, conversation)</li> <li>Decision Nodes: Make routing decisions (research complete?, budget exceeded?)</li> <li>Parallel Nodes: Execute multiple nodes concurrently (parallel research loops)</li> </ul> <p>Edge Types:</p> <ul> <li>Sequential Edges: Always traversed (no condition)</li> <li>Conditional Edges: Traversed based on condition (e.g., if research complete \u2192 writer, else \u2192 tool selector)</li> <li>Parallel Edges: Used for parallel execution branches</li> </ul> <p>Graph Patterns:</p> <ul> <li>Iterative Graph: <code>[Input] \u2192 [Thinking] \u2192 [Knowledge Gap] \u2192 [Decision: Complete?] \u2192 [Tool Selector] or [Writer]</code></li> <li>Deep Research Graph: <code>[Input] \u2192 [Planner] \u2192 [Parallel Iterative Loops] \u2192 [Synthesizer]</code></li> </ul> <p>Execution Flow:</p> <ol> <li>Graph construction from nodes and edges</li> <li>Graph validation (no cycles, all nodes reachable)</li> <li>Graph execution from entry node</li> <li>Node execution based on type</li> <li>Edge evaluation for next node(s)</li> <li>Parallel execution via <code>asyncio.gather()</code></li> <li>State updates at state nodes</li> <li>Event streaming for UI</li> </ol>"},{"location":"overview/architecture/#key-components","title":"Key Components","text":"<ul> <li>Orchestrators: Multiple orchestration patterns (<code>src/orchestrator/</code>, <code>src/orchestrator_*.py</code>)</li> <li>Research Flows: Iterative and deep research patterns (<code>src/orchestrator/research_flow.py</code>)</li> <li>Graph Builder: Graph construction utilities (<code>src/agent_factory/graph_builder.py</code>)</li> <li>Agents: Pydantic AI agents (<code>src/agents/</code>, <code>src/agent_factory/agents.py</code>)</li> <li>Search Tools: Neo4j knowledge graph, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG (<code>src/tools/</code>)</li> <li>Judge Handler: LLM-based evidence assessment (<code>src/agent_factory/judges.py</code>)</li> <li>Embeddings: Semantic search &amp; deduplication (<code>src/services/embeddings.py</code>)</li> <li>Statistical Analyzer: Modal sandbox execution (<code>src/services/statistical_analyzer.py</code>)</li> <li>Multimodal Processing: Image OCR and audio STT/TTS services (<code>src/services/multimodal_processing.py</code>, <code>src/services/audio_processing.py</code>)</li> <li>Middleware: State management, budget tracking, workflow coordination (<code>src/middleware/</code>)</li> <li>MCP Tools: Claude Desktop integration (<code>src/mcp_tools.py</code>)</li> <li>Gradio UI: Web interface with MCP server and streaming (<code>src/app.py</code>)</li> </ul>"},{"location":"overview/architecture/#research-team--parallel-execution","title":"Research Team &amp; Parallel Execution","text":"<p>The system supports complex research workflows through:</p> <ol> <li>WorkflowManager: Coordinates multiple parallel research loops</li> <li>Creates and tracks <code>ResearchLoop</code> instances</li> <li>Runs loops in parallel via <code>asyncio.gather()</code></li> <li>Synchronizes evidence to global state</li> <li> <p>Handles loop failures gracefully</p> </li> <li> <p>Deep Research Pattern: Breaks complex queries into sections</p> </li> <li>Planner creates report outline with sections</li> <li>Each section runs as independent iterative research loop</li> <li>Loops execute in parallel</li> <li>Evidence shared across loops via global state</li> <li> <p>Final synthesis combines all section results</p> </li> <li> <p>State Synchronization: Thread-safe evidence sharing</p> </li> <li>Evidence deduplication by URL</li> <li>Global state accessible to all loops</li> <li>Semantic search across all collected evidence</li> <li>Conversation history tracking per iteration</li> </ol>"},{"location":"overview/architecture/#configuration--modes","title":"Configuration &amp; Modes","text":"<ul> <li>Orchestrator Factory (<code>src/orchestrator_factory.py</code>):</li> <li>Auto-detects mode: \"advanced\" if OpenAI key available, else \"simple\"</li> <li>Supports explicit mode selection: \"simple\", \"magentic\" (alias for \"advanced\"), \"advanced\", \"iterative\", \"deep\", \"auto\"</li> <li> <p>Lazy imports for optional dependencies</p> </li> <li> <p>Orchestrator Modes (selected in UI or via factory):</p> </li> <li><code>simple</code>: Legacy linear search-judge loop (Free Tier)</li> <li><code>advanced</code> or <code>magentic</code>: Multi-agent coordination using Microsoft Agent Framework (requires OpenAI API key)</li> <li><code>iterative</code>: Knowledge-gap-driven research with single loop (Free Tier)</li> <li><code>deep</code>: Parallel section-based research with planning (Free Tier)</li> <li> <p><code>auto</code>: Intelligent mode detection based on query complexity (Free Tier)</p> </li> <li> <p>Graph Research Modes (used within graph orchestrator, separate from orchestrator mode):</p> </li> <li><code>iterative</code>: Single research loop pattern</li> <li><code>deep</code>: Multi-section parallel research pattern</li> <li> <p><code>auto</code>: Auto-detect pattern based on query complexity</p> </li> <li> <p>Execution Modes:</p> </li> <li><code>use_graph=True</code>: Graph-based execution (parallel, conditional routing)</li> <li><code>use_graph=False</code>: Agent chains (sequential, backward compatible)</li> </ul> <p>Note: The UI provides separate controls for orchestrator mode and graph research mode. When using graph-based orchestrators (iterative/deep/auto), the graph research mode determines the specific pattern used within the graph execution.</p>"},{"location":"overview/features/","title":"Features","text":"<p>The DETERMINATOR provides a comprehensive set of features for AI-assisted research:</p>"},{"location":"overview/features/#core-features","title":"Core Features","text":""},{"location":"overview/features/#multi-source-search","title":"Multi-Source Search","text":"<ul> <li>General Web Search: Search general knowledge sources for any domain</li> <li>Neo4j Knowledge Graph: Search structured knowledge graph for papers and disease relationships</li> <li>PubMed: Search peer-reviewed biomedical literature via NCBI E-utilities (automatically used when medical knowledge needed)</li> <li>ClinicalTrials.gov: Search interventional clinical trials (automatically used when medical knowledge needed)</li> <li>Europe PMC: Search preprints and peer-reviewed articles (includes bioRxiv/medRxiv)</li> <li>RAG: Semantic search within collected evidence using LlamaIndex</li> <li>Automatic Source Selection: Automatically determines which sources are needed based on query analysis</li> </ul>"},{"location":"overview/features/#mcp-integration","title":"MCP Integration","text":"<ul> <li>Model Context Protocol: Expose search tools via MCP server</li> <li>Claude Desktop: Use The DETERMINATOR tools directly from Claude Desktop</li> <li>MCP Clients: Compatible with any MCP-compatible client</li> </ul>"},{"location":"overview/features/#authentication","title":"Authentication","text":"<ul> <li>REQUIRED: Authentication is mandatory before using the application</li> <li>HuggingFace OAuth: Sign in with HuggingFace account for automatic API token usage (recommended)</li> <li>Manual API Keys: Support for HuggingFace API keys via environment variables (<code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code>)</li> <li>Free Tier Support: Automatic fallback to HuggingFace Inference API (public models) when no API key is available</li> <li>Authentication Check: The application will display an error message if authentication is not provided</li> </ul>"},{"location":"overview/features/#secure-code-execution","title":"Secure Code Execution","text":"<ul> <li>Modal Sandbox: Secure execution of AI-generated statistical code</li> <li>Isolated Environment: Network isolation and package version pinning</li> <li>Safe Execution: Prevents malicious code execution</li> </ul>"},{"location":"overview/features/#semantic-search--rag","title":"Semantic Search &amp; RAG","text":"<ul> <li>LlamaIndex Integration: Advanced RAG capabilities</li> <li>Vector Storage: ChromaDB for embedding storage</li> <li>Semantic Deduplication: Automatic detection of similar evidence</li> <li>Embedding Service: Local sentence-transformers (no API key required)</li> </ul>"},{"location":"overview/features/#orchestration-patterns","title":"Orchestration Patterns","text":"<ul> <li>Graph-Based Execution: Flexible graph orchestration with conditional routing</li> <li>Parallel Research Loops: Run multiple research tasks concurrently</li> <li>Iterative Research: Single-loop research with search-judge-synthesize cycles that continues until precise answers are found</li> <li>Deep Research: Multi-section parallel research with planning and synthesis</li> <li>Magentic Orchestration: Multi-agent coordination using Microsoft Agent Framework (alias: \"advanced\" mode)</li> <li>Stops at Nothing: Only stops at configured limits (budget, time, iterations), otherwise continues until finding precise answers</li> </ul> <p>Orchestrator Modes: - <code>simple</code>: Legacy linear search-judge loop - <code>advanced</code> (or <code>magentic</code>): Multi-agent coordination (requires OpenAI API key) - <code>iterative</code>: Knowledge-gap-driven research with single loop - <code>deep</code>: Parallel section-based research with planning - <code>auto</code>: Intelligent mode detection based on query complexity</p> <p>Graph Research Modes (used within graph orchestrator): - <code>iterative</code>: Single research loop pattern - <code>deep</code>: Multi-section parallel research pattern - <code>auto</code>: Auto-detect pattern based on query complexity</p> <p>Execution Modes: - <code>use_graph=True</code>: Graph-based execution with parallel and conditional routing - <code>use_graph=False</code>: Agent chains with sequential execution (backward compatible)</p>"},{"location":"overview/features/#real-time-streaming","title":"Real-Time Streaming","text":"<ul> <li>Event Streaming: Real-time updates via <code>AsyncGenerator[AgentEvent]</code></li> <li>Progress Tracking: Monitor research progress with detailed event metadata</li> <li>UI Integration: Seamless integration with Gradio chat interface</li> </ul>"},{"location":"overview/features/#budget-management","title":"Budget Management","text":"<ul> <li>Token Budget: Track and limit LLM token usage</li> <li>Time Budget: Enforce time limits per research loop</li> <li>Iteration Budget: Limit maximum iterations</li> <li>Per-Loop Budgets: Independent budgets for parallel research loops</li> </ul>"},{"location":"overview/features/#state-management","title":"State Management","text":"<ul> <li>Thread-Safe Isolation: ContextVar-based state management</li> <li>Evidence Deduplication: Automatic URL-based deduplication</li> <li>Conversation History: Track iteration history and agent interactions</li> <li>State Synchronization: Share evidence across parallel loops</li> </ul>"},{"location":"overview/features/#multimodal-input--output","title":"Multimodal Input &amp; Output","text":"<ul> <li>Image Input (OCR): Upload images and extract text using optical character recognition</li> <li>Audio Input (STT): Record or upload audio files and transcribe to text using speech-to-text</li> <li>Audio Output (TTS): Generate audio responses with text-to-speech synthesis</li> <li>Configurable Settings: Enable/disable multimodal features via sidebar settings</li> <li>Voice Selection: Choose from multiple TTS voices (American English: af_, am_)</li> <li>Speech Speed Control: Adjust TTS speech speed (0.5x to 2.0x)</li> <li>Multimodal Processing Service: Integrated service for processing images and audio files</li> </ul>"},{"location":"overview/features/#advanced-features","title":"Advanced Features","text":""},{"location":"overview/features/#agent-system","title":"Agent System","text":"<ul> <li>Pydantic AI Agents: Type-safe agent implementation</li> <li>Structured Output: Pydantic models for agent responses</li> <li>Agent Factory: Centralized agent creation with fallback support</li> <li>Specialized Agents: Knowledge gap, tool selector, writer, proofreader, and more</li> </ul>"},{"location":"overview/features/#search-tools","title":"Search Tools","text":"<ul> <li>Rate Limiting: Built-in rate limiting for external APIs</li> <li>Retry Logic: Automatic retry with exponential backoff</li> <li>Query Preprocessing: Automatic query enhancement and synonym expansion</li> <li>Evidence Conversion: Automatic conversion to structured Evidence objects</li> </ul>"},{"location":"overview/features/#error-handling","title":"Error Handling","text":"<ul> <li>Custom Exceptions: Hierarchical exception system</li> <li>Error Chaining: Preserve exception context</li> <li>Structured Logging: Comprehensive logging with structlog</li> <li>Graceful Degradation: Fallback handlers for missing dependencies</li> </ul>"},{"location":"overview/features/#configuration","title":"Configuration","text":"<ul> <li>Pydantic Settings: Type-safe configuration management</li> <li>Environment Variables: Support for <code>.env</code> files</li> <li>Validation: Automatic configuration validation</li> <li>Flexible Providers: Support for multiple LLM and embedding providers</li> </ul>"},{"location":"overview/features/#testing","title":"Testing","text":"<ul> <li>Unit Tests: Comprehensive unit test coverage</li> <li>Integration Tests: Real API integration tests</li> <li>Mock Support: Extensive mocking utilities</li> <li>Coverage Reports: Code coverage tracking</li> </ul>"},{"location":"overview/features/#ui-features","title":"UI Features","text":""},{"location":"overview/features/#gradio-interface","title":"Gradio Interface","text":"<ul> <li>Real-Time Chat: Interactive chat interface with multimodal support</li> <li>Streaming Updates: Live progress updates</li> <li>Accordion UI: Organized display of pending/done operations</li> <li>OAuth Integration: Seamless HuggingFace authentication</li> <li>Multimodal Input: Support for text, images, and audio input in the same interface</li> <li>Sidebar Settings: Configuration accordions for research, multimodal, and audio settings</li> </ul>"},{"location":"overview/features/#mcp-server","title":"MCP Server","text":"<ul> <li>RESTful API: HTTP-based MCP server</li> <li>Tool Discovery: Automatic tool registration</li> <li>Request Handling: Async request processing</li> <li>Error Responses: Structured error responses</li> </ul>"},{"location":"overview/features/#development-features","title":"Development Features","text":""},{"location":"overview/features/#code-quality","title":"Code Quality","text":"<ul> <li>Type Safety: Full type hints with mypy strict mode</li> <li>Linting: Ruff for code quality</li> <li>Formatting: Automatic code formatting</li> <li>Pre-commit Hooks: Automated quality checks</li> </ul>"},{"location":"overview/features/#documentation","title":"Documentation","text":"<ul> <li>Comprehensive Docs: Detailed documentation for all components</li> <li>Code Examples: Extensive code examples</li> <li>Architecture Diagrams: Visual architecture documentation</li> <li>API Reference: Complete API documentation</li> </ul>"},{"location":"overview/quick-start/","title":"Quick Start","text":"<p>Get started with DeepCritical in minutes.</p>"},{"location":"overview/quick-start/#installation","title":"Installation","text":"<pre><code># Install uv if you haven't already (recommended: standalone installer)\n# Unix/macOS/Linux:\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Windows (PowerShell):\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n# Alternative: pipx install uv\n# Or: pip install uv\n\n# Sync dependencies\nuv sync\n</code></pre>"},{"location":"overview/quick-start/#run-the-ui","title":"Run the UI","text":"<pre><code># Start the Gradio app\nuv run gradio run src/app.py\n</code></pre> <p>Open your browser to <code>http://localhost:7860</code>.</p>"},{"location":"overview/quick-start/#basic-usage","title":"Basic Usage","text":""},{"location":"overview/quick-start/#1-authentication-required","title":"1. Authentication (REQUIRED)","text":"<p>Authentication is mandatory - you must authenticate before using the application. The app will display an error message if you try to use it without authentication.</p> <p>HuggingFace OAuth Login (Recommended): - Click the \"Sign in with HuggingFace\" button at the top of the app - Your HuggingFace API token will be automatically used for AI inference - No need to manually enter API keys when logged in</p> <p>Manual API Key (Alternative): - Set environment variable <code>HF_TOKEN</code> or <code>HUGGINGFACE_API_KEY</code> before starting the app - The app will automatically use these tokens if OAuth login is not available - Supports HuggingFace API keys only (OpenAI/Anthropic keys are not used in the current implementation)</p>"},{"location":"overview/quick-start/#2-start-a-research-query","title":"2. Start a Research Query","text":"<ol> <li>Enter your research question in the chat interface</li> <li>Text Input: Type your question directly</li> <li>Image Input: Click the \ud83d\udcf7 icon to upload images (OCR will extract text)</li> <li>Audio Input: Click the \ud83c\udfa4 icon to record or upload audio (STT will transcribe to text)</li> <li>Click \"Submit\" or press Enter</li> <li>Watch the real-time progress as the system:</li> <li>Generates observations</li> <li>Identifies knowledge gaps</li> <li>Searches multiple sources</li> <li>Evaluates evidence</li> <li>Synthesizes findings</li> <li>Review the final research report</li> <li>Audio Output: If enabled, the final response will include audio synthesis (TTS)</li> </ol> <p>Multimodal Features: - Configure image/audio input and output in the sidebar settings - Image OCR and audio STT/TTS can be enabled/disabled independently - TTS voice and speed can be customized in the Audio Output settings</p>"},{"location":"overview/quick-start/#3-mcp-integration-optional","title":"3. MCP Integration (Optional)","text":"<p>Connect DeepCritical to Claude Desktop:</p> <ol> <li> <p>Add to your <code>claude_desktop_config.json</code>: <pre><code>{\n  \"mcpServers\": {\n    \"deepcritical\": {\n      \"url\": \"http://localhost:7860/gradio_api/mcp/\"\n    }\n  }\n}\n</code></pre></p> </li> <li> <p>Restart Claude Desktop</p> </li> <li>Use DeepCritical tools directly from Claude Desktop</li> </ol>"},{"location":"overview/quick-start/#available-tools","title":"Available Tools","text":"<ul> <li><code>search_pubmed</code>: Search peer-reviewed biomedical literature</li> <li><code>search_clinical_trials</code>: Search ClinicalTrials.gov</li> <li><code>search_biorxiv</code>: Search bioRxiv/medRxiv preprints</li> <li><code>search_neo4j</code>: Search Neo4j knowledge graph for papers and disease relationships</li> <li><code>search_all</code>: Search all sources simultaneously</li> <li><code>analyze_hypothesis</code>: Secure statistical analysis using Modal sandboxes</li> </ul> <p>Note: The application automatically uses all available search tools (Neo4j, PubMed, ClinicalTrials.gov, Europe PMC, Web search, RAG) based on query analysis. Neo4j knowledge graph search is included by default for biomedical queries.</p>"},{"location":"overview/quick-start/#next-steps","title":"Next Steps","text":"<ul> <li>Read the Installation Guide for detailed setup</li> <li>Learn about Configuration</li> <li>Explore the Architecture</li> <li>Check out Examples</li> </ul>"}]}
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diff --git a/site/team/index.html b/site/team/index.html
deleted file mode 100644
index 74c22a2ef682cedb3005fb0708a5011effdc23d8..0000000000000000000000000000000000000000
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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="Generalist Deep Research Agent that Stops at Nothing"><meta name=author content="The DeepCritical Team"><link href=https://deepcritical.github.io/GradioDemo/team/ rel=canonical><link href=../LICENSE/ rel=prev><link rel=icon href=../assets/images/favicon.png><meta name=generator content="mkdocs-1.6.1, mkdocs-material-9.7.0"><title>Team - The DETERMINATOR</title><link rel=stylesheet href=../assets/stylesheets/main.618322db.min.css><link rel=stylesheet href=../assets/stylesheets/palette.ab4e12ef.min.css><link rel=preconnect href=https://fonts.gstatic.com crossorigin><link rel=stylesheet href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback"><style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style><link rel=stylesheet href=../css/timeago.css><script>__md_scope=new URL("..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script></head> <body dir=ltr data-md-color-scheme=default data-md-color-primary=orange data-md-color-accent=red> <input class=md-toggle data-md-toggle=drawer type=checkbox id=__drawer autocomplete=off> <input class=md-toggle data-md-toggle=search type=checkbox id=__search autocomplete=off> <label class=md-overlay for=__drawer></label> <div data-md-component=skip> <a href=#team class=md-skip> Skip to content </a> </div> <div data-md-component=announce> </div> <header class=md-header data-md-component=header> <nav class="md-header__inner md-grid" aria-label=Header> <a href=.. title="The DETERMINATOR" class="md-header__button md-logo" aria-label="The DETERMINATOR" 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md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#team-members class=md-nav__link> <span class=md-ellipsis> Team Members </span> </a> <nav class=md-nav aria-label="Team Members"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#zj class=md-nav__link> <span class=md-ellipsis> ZJ </span> </a> </li> <li class=md-nav__item> <a href=#mario-aderman class=md-nav__link> <span class=md-ellipsis> Mario Aderman </span> </a> </li> <li class=md-nav__item> <a href=#joseph-pollack class=md-nav__link> <span class=md-ellipsis> Joseph Pollack </span> </a> </li> <li class=md-nav__item> <a href=#virat-chauran class=md-nav__link> <span class=md-ellipsis> Virat Chauran </span> </a> </li> <li class=md-nav__item> <a href=#anna-bossler class=md-nav__link> <span class=md-ellipsis> Anna Bossler </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#about class=md-nav__link> <span class=md-ellipsis> About </span> </a> </li> <li class=md-nav__item> <a href=#contributing class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> </li> <li class=md-nav__item> <a href=#links class=md-nav__link> <span class=md-ellipsis> Links </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <h1 id=team>Team<a class=headerlink href=#team title="Anchor link to this section">&para;</a></h1> <p>DeepCritical is developed by a team of researchers and developers working on AI-assisted research.</p> <h2 id=team-members>Team Members<a class=headerlink href=#team-members title="Anchor link to this section">&para;</a></h2> <h3 id=zj>ZJ<a class=headerlink href=#zj title="Anchor link to this section">&para;</a></h3> <ul> <li>💼 <a href=https://www.linkedin.com/in// >LinkedIn</a></li> </ul> <h3 id=mario-aderman>Mario Aderman<a class=headerlink href=#mario-aderman title="Anchor link to this section">&para;</a></h3> <ul> <li>🤗 <a href=https://huggingface.co/SeasonalFall84>HuggingFace</a></li> <li>💼 <a href=https://www.linkedin.com/in/mario-aderman/ >LinkedIn</a></li> <li>𝕏 <a href=https://x.com/marioaderman>X</a></li> </ul> <h3 id=joseph-pollack>Joseph Pollack<a class=headerlink href=#joseph-pollack title="Anchor link to this section">&para;</a></h3> <ul> <li>🤗 <a href=https://huggingface.co/Tonic>HuggingFace</a></li> <li>💼 <a href=https://www.linkedin.com/in/josephpollack/ >LinkedIn</a></li> <li>𝕏 <a href=https://x.com/josephpollack>X</a></li> </ul> <h3 id=virat-chauran>Virat Chauran<a class=headerlink href=#virat-chauran title="Anchor link to this section">&para;</a></h3> <ul> <li>𝕏 <a href=https://x.com/viratzzs/ >X</a></li> <li>💼 <a href=https://www.linkedin.com/in/viratchauhan/ >LinkedIn</a></li> <li>🤗 <a href=https://huggingface.co/ViratChauhan>HuggingFace</a></li> </ul> <h3 id=anna-bossler>Anna Bossler<a class=headerlink href=#anna-bossler title="Anchor link to this section">&para;</a></h3> <ul> <li>💼 <a href=https://www.linkedin.com/in/ana-bossler-07304717>LinkedIn</a></li> </ul> <h2 id=about>About<a class=headerlink href=#about title="Anchor link to this section">&para;</a></h2> <p>The DeepCritical team met online in the Alzheimer's Critical Literature Review Group in the Hugging Science initiative. We're building the agent framework we want to use for AI-assisted research to turn the vast amounts of clinical data into cures.</p> <h2 id=contributing>Contributing<a class=headerlink href=#contributing title="Anchor link to this section">&para;</a></h2> <p>We welcome contributions! 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diff --git a/src/agent_factory/agents.py b/src/agent_factory/agents.py
index c676140e509d833431b9b280b5f2695de82ec181..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/src/agent_factory/agents.py
+++ b/src/agent_factory/agents.py
@@ -1,361 +0,0 @@
-"""Agent factory functions for creating research agents.
-
-Provides factory functions for creating all Pydantic AI agents used in
-the research workflows, following the pattern from judges.py.
-"""
-
-from typing import TYPE_CHECKING, Any
-
-import structlog
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-if TYPE_CHECKING:
-    from src.agent_factory.graph_builder import GraphBuilder
-    from src.agents.input_parser import InputParserAgent
-    from src.agents.knowledge_gap import KnowledgeGapAgent
-    from src.agents.long_writer import LongWriterAgent
-    from src.agents.proofreader import ProofreaderAgent
-    from src.agents.thinking import ThinkingAgent
-    from src.agents.tool_selector import ToolSelectorAgent
-    from src.agents.writer import WriterAgent
-    from src.orchestrator.graph_orchestrator import GraphOrchestrator
-    from src.orchestrator.planner_agent import PlannerAgent
-    from src.orchestrator.research_flow import DeepResearchFlow, IterativeResearchFlow
-
-logger = structlog.get_logger()
-
-
-def create_input_parser_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "InputParserAgent":
-    """
-    Create input parser agent for query analysis and research mode detection.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured InputParserAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.input_parser import create_input_parser_agent as _create_agent
-
-    try:
-        logger.debug("Creating input parser agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create input parser agent", error=str(e))
-        raise ConfigurationError(f"Failed to create input parser agent: {e}") from e
-
-
-def create_planner_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "PlannerAgent":
-    """
-    Create planner agent with web search and crawl tools.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured PlannerAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    # Lazy import to avoid circular dependencies
-    from src.orchestrator.planner_agent import create_planner_agent as _create_planner_agent
-
-    try:
-        logger.debug("Creating planner agent")
-        return _create_planner_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create planner agent", error=str(e))
-        raise ConfigurationError(f"Failed to create planner agent: {e}") from e
-
-
-def create_knowledge_gap_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "KnowledgeGapAgent":
-    """
-    Create knowledge gap agent for evaluating research completeness.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured KnowledgeGapAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.knowledge_gap import create_knowledge_gap_agent as _create_agent
-
-    try:
-        logger.debug("Creating knowledge gap agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create knowledge gap agent", error=str(e))
-        raise ConfigurationError(f"Failed to create knowledge gap agent: {e}") from e
-
-
-def create_tool_selector_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "ToolSelectorAgent":
-    """
-    Create tool selector agent for choosing tools to address gaps.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ToolSelectorAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.tool_selector import create_tool_selector_agent as _create_agent
-
-    try:
-        logger.debug("Creating tool selector agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create tool selector agent", error=str(e))
-        raise ConfigurationError(f"Failed to create tool selector agent: {e}") from e
-
-
-def create_thinking_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "ThinkingAgent":
-    """
-    Create thinking agent for generating observations.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ThinkingAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.thinking import create_thinking_agent as _create_agent
-
-    try:
-        logger.debug("Creating thinking agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create thinking agent", error=str(e))
-        raise ConfigurationError(f"Failed to create thinking agent: {e}") from e
-
-
-def create_writer_agent(model: Any | None = None, oauth_token: str | None = None) -> "WriterAgent":
-    """
-    Create writer agent for generating final reports.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured WriterAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.writer import create_writer_agent as _create_agent
-
-    try:
-        logger.debug("Creating writer agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create writer agent", error=str(e))
-        raise ConfigurationError(f"Failed to create writer agent: {e}") from e
-
-
-def create_long_writer_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "LongWriterAgent":
-    """
-    Create long writer agent for iteratively writing report sections.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured LongWriterAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.long_writer import create_long_writer_agent as _create_agent
-
-    try:
-        logger.debug("Creating long writer agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create long writer agent", error=str(e))
-        raise ConfigurationError(f"Failed to create long writer agent: {e}") from e
-
-
-def create_proofreader_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> "ProofreaderAgent":
-    """
-    Create proofreader agent for finalizing report drafts.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ProofreaderAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    from src.agents.proofreader import create_proofreader_agent as _create_agent
-
-    try:
-        logger.debug("Creating proofreader agent")
-        return _create_agent(model=model, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create proofreader agent", error=str(e))
-        raise ConfigurationError(f"Failed to create proofreader agent: {e}") from e
-
-
-def create_iterative_flow(
-    max_iterations: int = 5,
-    max_time_minutes: int = 10,
-    verbose: bool = True,
-    use_graph: bool | None = None,
-) -> "IterativeResearchFlow":
-    """
-    Create iterative research flow.
-
-    Args:
-        max_iterations: Maximum number of iterations
-        max_time_minutes: Maximum time in minutes
-        verbose: Whether to log progress
-        use_graph: Whether to use graph execution. If None, reads from settings.use_graph_execution
-
-    Returns:
-        Configured IterativeResearchFlow instance
-    """
-    from src.orchestrator.research_flow import IterativeResearchFlow
-
-    try:
-        # Use settings default if not explicitly provided
-        if use_graph is None:
-            use_graph = settings.use_graph_execution
-
-        logger.debug("Creating iterative research flow", use_graph=use_graph)
-        return IterativeResearchFlow(
-            max_iterations=max_iterations,
-            max_time_minutes=max_time_minutes,
-            verbose=verbose,
-            use_graph=use_graph,
-        )
-    except Exception as e:
-        logger.error("Failed to create iterative flow", error=str(e))
-        raise ConfigurationError(f"Failed to create iterative flow: {e}") from e
-
-
-def create_deep_flow(
-    max_iterations: int = 5,
-    max_time_minutes: int = 10,
-    verbose: bool = True,
-    use_long_writer: bool = True,
-    use_graph: bool | None = None,
-) -> "DeepResearchFlow":
-    """
-    Create deep research flow.
-
-    Args:
-        max_iterations: Maximum iterations per section
-        max_time_minutes: Maximum time per section
-        verbose: Whether to log progress
-        use_long_writer: Whether to use long writer (True) or proofreader (False)
-        use_graph: Whether to use graph execution. If None, reads from settings.use_graph_execution
-
-    Returns:
-        Configured DeepResearchFlow instance
-    """
-    from src.orchestrator.research_flow import DeepResearchFlow
-
-    try:
-        # Use settings default if not explicitly provided
-        if use_graph is None:
-            use_graph = settings.use_graph_execution
-
-        logger.debug("Creating deep research flow", use_graph=use_graph)
-        return DeepResearchFlow(
-            max_iterations=max_iterations,
-            max_time_minutes=max_time_minutes,
-            verbose=verbose,
-            use_long_writer=use_long_writer,
-            use_graph=use_graph,
-        )
-    except Exception as e:
-        logger.error("Failed to create deep flow", error=str(e))
-        raise ConfigurationError(f"Failed to create deep flow: {e}") from e
-
-
-def create_graph_orchestrator(
-    mode: str = "auto",
-    max_iterations: int = 5,
-    max_time_minutes: int = 10,
-    use_graph: bool = True,
-) -> "GraphOrchestrator":
-    """
-    Create graph orchestrator.
-
-    Args:
-        mode: Research mode ("iterative", "deep", or "auto")
-        max_iterations: Maximum iterations per loop
-        max_time_minutes: Maximum time per loop
-        use_graph: Whether to use graph execution (True) or agent chains (False)
-
-    Returns:
-        Configured GraphOrchestrator instance
-    """
-    from src.orchestrator.graph_orchestrator import create_graph_orchestrator as _create
-
-    try:
-        logger.debug("Creating graph orchestrator", mode=mode, use_graph=use_graph)
-        return _create(
-            mode=mode,  # type: ignore[arg-type]
-            max_iterations=max_iterations,
-            max_time_minutes=max_time_minutes,
-            use_graph=use_graph,
-        )
-    except Exception as e:
-        logger.error("Failed to create graph orchestrator", error=str(e))
-        raise ConfigurationError(f"Failed to create graph orchestrator: {e}") from e
-
-
-def create_graph_builder() -> "GraphBuilder":
-    """
-    Create a graph builder instance.
-
-    Returns:
-        GraphBuilder instance
-    """
-    from src.agent_factory.graph_builder import GraphBuilder
-
-    try:
-        logger.debug("Creating graph builder")
-        return GraphBuilder()
-    except Exception as e:
-        logger.error("Failed to create graph builder", error=str(e))
-        raise ConfigurationError(f"Failed to create graph builder: {e}") from e
diff --git a/src/agent_factory/graph_builder.py b/src/agent_factory/graph_builder.py
deleted file mode 100644
index c06c1b0ac0d38a943f957bc100bef6cdfc09f390..0000000000000000000000000000000000000000
--- a/src/agent_factory/graph_builder.py
+++ /dev/null
@@ -1,635 +0,0 @@
-"""Graph builder utilities for constructing research workflow graphs.
-
-Provides classes and utilities for building graph-based orchestration systems
-using Pydantic AI agents as nodes.
-"""
-
-from collections.abc import Callable
-from typing import TYPE_CHECKING, Any, Literal
-
-import structlog
-from pydantic import BaseModel, Field
-
-if TYPE_CHECKING:
-    from pydantic_ai import Agent
-
-    from src.middleware.state_machine import WorkflowState
-
-logger = structlog.get_logger()
-
-
-# ============================================================================
-# Graph Node Models
-# ============================================================================
-
-
-class GraphNode(BaseModel):
-    """Base class for graph nodes."""
-
-    node_id: str = Field(description="Unique identifier for the node")
-    node_type: Literal["agent", "state", "decision", "parallel"] = Field(description="Type of node")
-    description: str = Field(default="", description="Human-readable description of the node")
-
-    model_config = {"frozen": True}
-
-
-class AgentNode(GraphNode):
-    """Node that executes a Pydantic AI agent."""
-
-    node_type: Literal["agent"] = "agent"
-    agent: Any = Field(description="Pydantic AI agent to execute")
-    input_transformer: Callable[[Any], Any] | None = Field(
-        default=None, description="Transform input before passing to agent"
-    )
-    output_transformer: Callable[[Any], Any] | None = Field(
-        default=None, description="Transform output after agent execution"
-    )
-
-    model_config = {"arbitrary_types_allowed": True}
-
-
-class StateNode(GraphNode):
-    """Node that updates or reads workflow state."""
-
-    node_type: Literal["state"] = "state"
-    state_updater: Callable[[Any, Any], Any] = Field(
-        description="Function to update workflow state"
-    )
-    state_reader: Callable[[Any], Any] | None = Field(
-        default=None, description="Function to read state (optional)"
-    )
-
-    model_config = {"arbitrary_types_allowed": True}
-
-
-class DecisionNode(GraphNode):
-    """Node that makes routing decisions based on conditions."""
-
-    node_type: Literal["decision"] = "decision"
-    decision_function: Callable[[Any], str] = Field(
-        description="Function that returns next node ID based on input"
-    )
-    options: list[str] = Field(description="List of possible next node IDs", min_length=1)
-
-    model_config = {"arbitrary_types_allowed": True}
-
-
-class ParallelNode(GraphNode):
-    """Node that executes multiple nodes in parallel."""
-
-    node_type: Literal["parallel"] = "parallel"
-    parallel_nodes: list[str] = Field(
-        description="List of node IDs to run in parallel", min_length=0
-    )
-    aggregator: Callable[[list[Any]], Any] | None = Field(
-        default=None, description="Function to aggregate parallel results"
-    )
-
-    model_config = {"arbitrary_types_allowed": True}
-
-
-# ============================================================================
-# Graph Edge Models
-# ============================================================================
-
-
-class GraphEdge(BaseModel):
-    """Base class for graph edges."""
-
-    from_node: str = Field(description="Source node ID")
-    to_node: str = Field(description="Target node ID")
-    condition: Callable[[Any], bool] | None = Field(
-        default=None, description="Optional condition function"
-    )
-    weight: float = Field(default=1.0, description="Edge weight for routing decisions")
-
-    model_config = {"arbitrary_types_allowed": True}
-
-
-class SequentialEdge(GraphEdge):
-    """Edge that is always traversed (no condition)."""
-
-    condition: None = None
-
-
-class ConditionalEdge(GraphEdge):
-    """Edge that is traversed based on a condition."""
-
-    condition: Callable[[Any], bool] = Field(description="Required condition function")
-    condition_description: str = Field(
-        default="", description="Human-readable description of condition"
-    )
-
-
-class ParallelEdge(GraphEdge):
-    """Edge used for parallel execution branches."""
-
-    condition: None = None
-
-
-# ============================================================================
-# Research Graph Class
-# ============================================================================
-
-
-class ResearchGraph(BaseModel):
-    """Represents a research workflow graph with nodes and edges."""
-
-    nodes: dict[str, GraphNode] = Field(default_factory=dict, description="All nodes in the graph")
-    edges: dict[str, list[GraphEdge]] = Field(
-        default_factory=dict, description="Edges by source node ID"
-    )
-    entry_node: str = Field(description="Starting node ID")
-    exit_nodes: list[str] = Field(default_factory=list, description="Terminal node IDs")
-
-    model_config = {"arbitrary_types_allowed": True}
-
-    def add_node(self, node: GraphNode) -> None:
-        """Add a node to the graph.
-
-        Args:
-            node: The node to add
-
-        Raises:
-            ValueError: If node ID already exists
-        """
-        if node.node_id in self.nodes:
-            raise ValueError(f"Node {node.node_id} already exists in graph")
-        self.nodes[node.node_id] = node
-        logger.debug("Node added to graph", node_id=node.node_id, type=node.node_type)
-
-    def add_edge(self, edge: GraphEdge) -> None:
-        """Add an edge to the graph.
-
-        Args:
-            edge: The edge to add
-
-        Raises:
-            ValueError: If source or target node doesn't exist
-        """
-        if edge.from_node not in self.nodes:
-            raise ValueError(f"Source node {edge.from_node} not found in graph")
-        if edge.to_node not in self.nodes:
-            raise ValueError(f"Target node {edge.to_node} not found in graph")
-
-        if edge.from_node not in self.edges:
-            self.edges[edge.from_node] = []
-        self.edges[edge.from_node].append(edge)
-        logger.debug(
-            "Edge added to graph",
-            from_node=edge.from_node,
-            to_node=edge.to_node,
-        )
-
-    def get_node(self, node_id: str) -> GraphNode | None:
-        """Get a node by ID.
-
-        Args:
-            node_id: The node ID
-
-        Returns:
-            The node, or None if not found
-        """
-        return self.nodes.get(node_id)
-
-    def get_next_nodes(self, node_id: str, context: Any = None) -> list[tuple[str, GraphEdge]]:
-        """Get all possible next nodes from a given node.
-
-        Args:
-            node_id: The current node ID
-            context: Optional context for evaluating conditions
-
-        Returns:
-            List of (node_id, edge) tuples for valid next nodes
-        """
-        if node_id not in self.edges:
-            return []
-
-        next_nodes = []
-        for edge in self.edges[node_id]:
-            # Evaluate condition if present
-            if edge.condition is None or edge.condition(context):
-                next_nodes.append((edge.to_node, edge))
-
-        return next_nodes
-
-    def validate_structure(self) -> list[str]:
-        """Validate the graph structure.
-
-        Returns:
-            List of validation error messages (empty if valid)
-        """
-        errors = []
-
-        # Check entry node exists
-        if self.entry_node not in self.nodes:
-            errors.append(f"Entry node {self.entry_node} not found in graph")
-
-        # Check exit nodes exist and at least one is defined
-        if not self.exit_nodes:
-            errors.append("At least one exit node must be defined")
-        for exit_node in self.exit_nodes:
-            if exit_node not in self.nodes:
-                errors.append(f"Exit node {exit_node} not found in graph")
-
-        # Check all edges reference valid nodes
-        for from_node, edge_list in self.edges.items():
-            if from_node not in self.nodes:
-                errors.append(f"Edge source node {from_node} not found")
-            for edge in edge_list:
-                if edge.to_node not in self.nodes:
-                    errors.append(f"Edge target node {edge.to_node} not found")
-
-        # Check all nodes are reachable from entry node (basic check)
-        if self.entry_node in self.nodes:
-            reachable = {self.entry_node}
-            queue = [self.entry_node]
-            while queue:
-                current = queue.pop(0)
-                for next_node, _ in self.get_next_nodes(current):
-                    if next_node not in reachable:
-                        reachable.add(next_node)
-                        queue.append(next_node)
-
-            unreachable = set(self.nodes.keys()) - reachable
-            if unreachable:
-                errors.append(f"Unreachable nodes from entry node: {', '.join(unreachable)}")
-
-        return errors
-
-
-# ============================================================================
-# Graph Builder Class
-# ============================================================================
-
-
-class GraphBuilder:
-    """Builder for constructing research workflow graphs."""
-
-    def __init__(self) -> None:
-        """Initialize the graph builder."""
-        self.graph = ResearchGraph(entry_node="", exit_nodes=[])
-
-    def add_agent_node(
-        self,
-        node_id: str,
-        agent: "Agent[Any, Any]",
-        description: str = "",
-        input_transformer: Callable[[Any], Any] | None = None,
-        output_transformer: Callable[[Any], Any] | None = None,
-    ) -> "GraphBuilder":
-        """Add an agent node to the graph.
-
-        Args:
-            node_id: Unique identifier for the node
-            agent: Pydantic AI agent to execute
-            description: Human-readable description
-            input_transformer: Optional input transformation function
-            output_transformer: Optional output transformation function
-
-        Returns:
-            Self for method chaining
-        """
-        node = AgentNode(
-            node_id=node_id,
-            agent=agent,
-            description=description,
-            input_transformer=input_transformer,
-            output_transformer=output_transformer,
-        )
-        self.graph.add_node(node)
-        return self
-
-    def add_state_node(
-        self,
-        node_id: str,
-        state_updater: Callable[["WorkflowState", Any], "WorkflowState"],
-        description: str = "",
-        state_reader: Callable[["WorkflowState"], Any] | None = None,
-    ) -> "GraphBuilder":
-        """Add a state node to the graph.
-
-        Args:
-            node_id: Unique identifier for the node
-            state_updater: Function to update workflow state
-            description: Human-readable description
-            state_reader: Optional function to read state
-
-        Returns:
-            Self for method chaining
-        """
-        node = StateNode(
-            node_id=node_id,
-            state_updater=state_updater,
-            description=description,
-            state_reader=state_reader,
-        )
-        self.graph.add_node(node)
-        return self
-
-    def add_decision_node(
-        self,
-        node_id: str,
-        decision_function: Callable[[Any], str],
-        options: list[str],
-        description: str = "",
-    ) -> "GraphBuilder":
-        """Add a decision node to the graph.
-
-        Args:
-            node_id: Unique identifier for the node
-            decision_function: Function that returns next node ID
-            options: List of possible next node IDs
-            description: Human-readable description
-
-        Returns:
-            Self for method chaining
-        """
-        node = DecisionNode(
-            node_id=node_id,
-            decision_function=decision_function,
-            options=options,
-            description=description,
-        )
-        self.graph.add_node(node)
-        return self
-
-    def add_parallel_node(
-        self,
-        node_id: str,
-        parallel_nodes: list[str],
-        description: str = "",
-        aggregator: Callable[[list[Any]], Any] | None = None,
-    ) -> "GraphBuilder":
-        """Add a parallel node to the graph.
-
-        Args:
-            node_id: Unique identifier for the node
-            parallel_nodes: List of node IDs to run in parallel
-            description: Human-readable description
-            aggregator: Optional function to aggregate results
-
-        Returns:
-            Self for method chaining
-        """
-        node = ParallelNode(
-            node_id=node_id,
-            parallel_nodes=parallel_nodes,
-            description=description,
-            aggregator=aggregator,
-        )
-        self.graph.add_node(node)
-        return self
-
-    def connect_nodes(
-        self,
-        from_node: str,
-        to_node: str,
-        condition: Callable[[Any], bool] | None = None,
-        condition_description: str = "",
-    ) -> "GraphBuilder":
-        """Connect two nodes with an edge.
-
-        Args:
-            from_node: Source node ID
-            to_node: Target node ID
-            condition: Optional condition function
-            condition_description: Description of condition (if conditional)
-
-        Returns:
-            Self for method chaining
-        """
-        if condition is None:
-            edge: GraphEdge = SequentialEdge(from_node=from_node, to_node=to_node)
-        else:
-            edge = ConditionalEdge(
-                from_node=from_node,
-                to_node=to_node,
-                condition=condition,
-                condition_description=condition_description,
-            )
-        self.graph.add_edge(edge)
-        return self
-
-    def set_entry_node(self, node_id: str) -> "GraphBuilder":
-        """Set the entry node for the graph.
-
-        Args:
-            node_id: The entry node ID
-
-        Returns:
-            Self for method chaining
-        """
-        self.graph.entry_node = node_id
-        return self
-
-    def set_exit_nodes(self, node_ids: list[str]) -> "GraphBuilder":
-        """Set the exit nodes for the graph.
-
-        Args:
-            node_ids: List of exit node IDs
-
-        Returns:
-            Self for method chaining
-        """
-        self.graph.exit_nodes = node_ids
-        return self
-
-    def build(self) -> ResearchGraph:
-        """Finalize graph construction and validate.
-
-        Returns:
-            The constructed ResearchGraph
-
-        Raises:
-            ValueError: If graph validation fails
-        """
-        errors = self.graph.validate_structure()
-        if errors:
-            error_msg = "Graph validation failed:\n" + "\n".join(f"  - {e}" for e in errors)
-            logger.error("Graph validation failed", errors=errors)
-            raise ValueError(error_msg)
-
-        logger.info(
-            "Graph built successfully",
-            nodes=len(self.graph.nodes),
-            edges=sum(len(edges) for edges in self.graph.edges.values()),
-            entry_node=self.graph.entry_node,
-            exit_nodes=self.graph.exit_nodes,
-        )
-        return self.graph
-
-
-# ============================================================================
-# Factory Functions
-# ============================================================================
-
-
-def create_iterative_graph(
-    knowledge_gap_agent: "Agent[Any, Any]",
-    tool_selector_agent: "Agent[Any, Any]",
-    thinking_agent: "Agent[Any, Any]",
-    writer_agent: "Agent[Any, Any]",
-) -> ResearchGraph:
-    """Create a graph for iterative research flow.
-
-    Args:
-        knowledge_gap_agent: Agent for evaluating knowledge gaps
-        tool_selector_agent: Agent for selecting tools
-        thinking_agent: Agent for generating observations
-        writer_agent: Agent for writing final report
-
-    Returns:
-        Constructed ResearchGraph for iterative research
-    """
-    builder = GraphBuilder()
-
-    # Add nodes
-    builder.add_agent_node("thinking", thinking_agent, "Generate observations")
-    builder.add_agent_node("knowledge_gap", knowledge_gap_agent, "Evaluate knowledge gaps")
-
-    def _decision_function(result: Any) -> str:
-        """Decision function for continue_decision node.
-
-        Args:
-            result: Result from knowledge_gap node (KnowledgeGapOutput or tuple)
-
-        Returns:
-            Next node ID: "writer" if research complete, "tool_selector" otherwise
-        """
-        # Handle case where result might be a tuple (validation error)
-        if isinstance(result, tuple):
-            # Try to extract research_complete from tuple
-            if len(result) == 2 and isinstance(result[0], str) and result[0] == "research_complete":
-                # Format: ('research_complete', False)
-                return "writer" if result[1] else "tool_selector"
-            # Try to find boolean value in tuple
-            for item in result:
-                if isinstance(item, bool):
-                    return "writer" if item else "tool_selector"
-                elif isinstance(item, dict) and "research_complete" in item:
-                    return "writer" if item["research_complete"] else "tool_selector"
-            # Default to continuing research if we can't determine
-            return "tool_selector"
-
-        # Normal case: result is KnowledgeGapOutput object
-        research_complete = getattr(result, "research_complete", False)
-        return "writer" if research_complete else "tool_selector"
-
-    builder.add_decision_node(
-        "continue_decision",
-        decision_function=_decision_function,
-        options=["tool_selector", "writer"],
-        description="Decide whether to continue research or write report",
-    )
-    builder.add_agent_node("tool_selector", tool_selector_agent, "Select tools to address gap")
-    builder.add_state_node(
-        "execute_tools",
-        state_updater=lambda state,
-        tasks: state,  # Placeholder - actual execution handled separately
-        description="Execute selected tools",
-    )
-    builder.add_agent_node("writer", writer_agent, "Write final report")
-
-    # Add edges
-    builder.connect_nodes("thinking", "knowledge_gap")
-    builder.connect_nodes("knowledge_gap", "continue_decision")
-    builder.connect_nodes("continue_decision", "tool_selector")
-    builder.connect_nodes("continue_decision", "writer")
-    builder.connect_nodes("tool_selector", "execute_tools")
-    builder.connect_nodes("execute_tools", "thinking")  # Loop back
-
-    # Set entry and exit
-    builder.set_entry_node("thinking")
-    builder.set_exit_nodes(["writer"])
-
-    return builder.build()
-
-
-def create_deep_graph(
-    planner_agent: "Agent[Any, Any]",
-    knowledge_gap_agent: "Agent[Any, Any]",
-    tool_selector_agent: "Agent[Any, Any]",
-    thinking_agent: "Agent[Any, Any]",
-    writer_agent: "Agent[Any, Any]",
-    long_writer_agent: "Agent[Any, Any]",
-) -> ResearchGraph:
-    """Create a graph for deep research flow.
-
-    The graph structure: planner → store_plan → parallel_loops → collect_drafts → synthesizer
-
-    Args:
-        planner_agent: Agent for creating report plan
-        knowledge_gap_agent: Agent for evaluating knowledge gaps (not used directly, but needed for iterative flows)
-        tool_selector_agent: Agent for selecting tools (not used directly, but needed for iterative flows)
-        thinking_agent: Agent for generating observations (not used directly, but needed for iterative flows)
-        writer_agent: Agent for writing section reports (not used directly, but needed for iterative flows)
-        long_writer_agent: Agent for synthesizing final report
-
-    Returns:
-        Constructed ResearchGraph for deep research
-    """
-    from src.utils.models import ReportPlan
-
-    builder = GraphBuilder()
-
-    # Add nodes
-    # 1. Planner agent - creates report plan
-    builder.add_agent_node("planner", planner_agent, "Create report plan with sections")
-
-    # 2. State node - store report plan in workflow state
-    def store_plan(state: "WorkflowState", plan: ReportPlan) -> "WorkflowState":
-        """Store report plan in state for parallel loops to access."""
-        # Store plan in a custom attribute (we'll need to extend WorkflowState or use a dict)
-        # For now, we'll store it in the context's node_results
-        # The actual storage will happen in the graph execution
-        return state
-
-    builder.add_state_node(
-        "store_plan",
-        state_updater=store_plan,
-        description="Store report plan in state",
-    )
-
-    # 3. Parallel node - will execute iterative research flows for each section
-    # The actual execution will be handled dynamically in _execute_parallel_node()
-    # We use a special node ID that the executor will recognize
-    builder.add_parallel_node(
-        "parallel_loops",
-        parallel_nodes=[],  # Will be populated dynamically based on report plan
-        description="Execute parallel iterative research loops for each section",
-        aggregator=lambda results: results,  # Collect all section drafts
-    )
-
-    # 4. State node - collect section drafts into ReportDraft
-    def collect_drafts(state: "WorkflowState", section_drafts: list[str]) -> "WorkflowState":
-        """Collect section drafts into state for synthesizer."""
-        # Store drafts in state (will be accessed by synthesizer)
-        return state
-
-    builder.add_state_node(
-        "collect_drafts",
-        state_updater=collect_drafts,
-        description="Collect section drafts for synthesis",
-    )
-
-    # 5. Synthesizer agent - creates final report from drafts
-    builder.add_agent_node(
-        "synthesizer", long_writer_agent, "Synthesize final report from section drafts"
-    )
-
-    # Add edges
-    builder.connect_nodes("planner", "store_plan")
-    builder.connect_nodes("store_plan", "parallel_loops")
-    builder.connect_nodes("parallel_loops", "collect_drafts")
-    builder.connect_nodes("collect_drafts", "synthesizer")
-
-    # Set entry and exit
-    builder.set_entry_node("planner")
-    builder.set_exit_nodes(["synthesizer"])
-
-    return builder.build()
-
-
-# No need to rebuild models since we're using Any types
-# The models will work correctly with arbitrary_types_allowed=True
diff --git a/src/agent_factory/judges.py b/src/agent_factory/judges.py
index 59ccdc08f3d8292be1161908a47b9451672121d2..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/src/agent_factory/judges.py
+++ b/src/agent_factory/judges.py
@@ -1,537 +0,0 @@
-"""Judge handler for evidence assessment using PydanticAI."""
-
-import asyncio
-import json
-from typing import Any, ClassVar
-
-import structlog
-from huggingface_hub import InferenceClient
-from pydantic_ai import Agent
-from pydantic_ai.models.anthropic import AnthropicModel
-from pydantic_ai.models.huggingface import HuggingFaceModel
-from pydantic_ai.models.openai import OpenAIChatModel as OpenAIModel
-from pydantic_ai.providers.anthropic import AnthropicProvider
-from pydantic_ai.providers.huggingface import HuggingFaceProvider
-from pydantic_ai.providers.openai import OpenAIProvider
-from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_exponential
-
-from src.prompts.judge import (
-    SYSTEM_PROMPT,
-    format_empty_evidence_prompt,
-    format_user_prompt,
-)
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import AssessmentDetails, Evidence, JudgeAssessment
-
-logger = structlog.get_logger()
-
-
-def get_model(oauth_token: str | None = None) -> Any:
-    """Get the LLM model based on configuration.
-
-    Explicitly passes API keys from settings to avoid requiring
-    users to export environment variables manually.
-
-    Priority order:
-    1. HuggingFace (if OAuth token or API key available - preferred for free tier)
-    2. OpenAI (if API key available)
-    3. Anthropic (if API key available)
-
-    If OAuth token is available, prefer HuggingFace (even if provider is set to OpenAI).
-    This ensures users logged in via HuggingFace Spaces get the free tier.
-
-    Args:
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured Pydantic AI model
-
-    Raises:
-        ConfigurationError: If no LLM provider is available
-    """
-    from src.utils.hf_error_handler import log_token_info, validate_hf_token
-
-    # Priority: oauth_token > settings.hf_token > settings.huggingface_api_key
-    effective_hf_token = oauth_token or settings.hf_token or settings.huggingface_api_key
-
-    # Validate and log token information
-    if effective_hf_token:
-        log_token_info(effective_hf_token, context="get_model")
-        is_valid, error_msg = validate_hf_token(effective_hf_token)
-        if not is_valid:
-            logger.warning(
-                "Token validation failed",
-                error=error_msg,
-                has_oauth=bool(oauth_token),
-            )
-            # Continue anyway - let the API call fail with a clear error
-
-    # Try HuggingFace first (preferred for free tier)
-    if effective_hf_token:
-        model_name = settings.huggingface_model or "meta-llama/Llama-3.1-8B-Instruct"
-        hf_provider = HuggingFaceProvider(api_key=effective_hf_token)
-        logger.info(
-            "using_huggingface_with_token",
-            has_oauth=bool(oauth_token),
-            has_settings_token=bool(settings.hf_token or settings.huggingface_api_key),
-            model=model_name,
-        )
-        return HuggingFaceModel(model_name, provider=hf_provider)
-
-    # Fallback to OpenAI if available
-    if settings.has_openai_key:
-        assert settings.openai_api_key is not None  # Type narrowing
-        model_name = settings.openai_model
-        openai_provider = OpenAIProvider(api_key=settings.openai_api_key)
-        logger.info("using_openai", model=model_name)
-        return OpenAIModel(model_name, provider=openai_provider)
-
-    # Fallback to Anthropic if available
-    if settings.has_anthropic_key:
-        assert settings.anthropic_api_key is not None  # Type narrowing
-        model_name = settings.anthropic_model
-        anthropic_provider = AnthropicProvider(api_key=settings.anthropic_api_key)
-        logger.info("using_anthropic", model=model_name)
-        return AnthropicModel(model_name, provider=anthropic_provider)
-
-    # No provider available
-    raise ConfigurationError(
-        "No LLM provider available. Please configure one of:\n"
-        "1. HuggingFace: Log in via OAuth (recommended for Spaces) or set HF_TOKEN\n"
-        "2. OpenAI: Set OPENAI_API_KEY environment variable\n"
-        "3. Anthropic: Set ANTHROPIC_API_KEY environment variable"
-    )
-
-
-class JudgeHandler:
-    """
-    Handles evidence assessment using an LLM with structured output.
-
-    Uses PydanticAI to ensure responses match the JudgeAssessment schema.
-    """
-
-    def __init__(self, model: Any = None) -> None:
-        """
-        Initialize the JudgeHandler.
-
-        Args:
-            model: Optional PydanticAI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.agent = Agent(
-            model=self.model,
-            output_type=JudgeAssessment,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def assess(
-        self,
-        question: str,
-        evidence: list[Evidence],
-    ) -> JudgeAssessment:
-        """
-        Assess evidence and determine if it's sufficient.
-
-        Args:
-            question: The user's research question
-            evidence: List of Evidence objects from search
-
-        Returns:
-            JudgeAssessment with evaluation results
-
-        Raises:
-            JudgeError: If assessment fails after retries
-        """
-        logger.info(
-            "Starting evidence assessment",
-            question=question[:100],
-            evidence_count=len(evidence),
-        )
-
-        # Format the prompt based on whether we have evidence
-        if evidence:
-            user_prompt = format_user_prompt(question, evidence)
-        else:
-            user_prompt = format_empty_evidence_prompt(question)
-
-        try:
-            # Run the agent with structured output
-            result = await self.agent.run(user_prompt)
-            assessment = result.output
-
-            logger.info(
-                "Assessment complete",
-                sufficient=assessment.sufficient,
-                recommendation=assessment.recommendation,
-                confidence=assessment.confidence,
-            )
-
-            return assessment
-
-        except Exception as e:
-            # Extract error details for better logging and handling
-            from src.utils.hf_error_handler import (
-                extract_error_details,
-                get_user_friendly_error_message,
-            )
-
-            error_details = extract_error_details(e)
-            logger.error(
-                "Assessment failed",
-                error=str(e),
-                status_code=error_details.get("status_code"),
-                model_name=error_details.get("model_name"),
-                is_auth_error=error_details.get("is_auth_error"),
-                is_model_error=error_details.get("is_model_error"),
-            )
-
-            # Log user-friendly message for debugging
-            if error_details.get("is_auth_error") or error_details.get("is_model_error"):
-                user_msg = get_user_friendly_error_message(e, error_details.get("model_name"))
-                logger.warning("API error details", user_message=user_msg[:200])
-
-            # Return a safe default assessment on failure
-            return self._create_fallback_assessment(question, str(e))
-
-    def _create_fallback_assessment(
-        self,
-        question: str,
-        error: str,
-    ) -> JudgeAssessment:
-        """
-        Create a fallback assessment when LLM fails.
-
-        Args:
-            question: The original question
-            error: The error message
-
-        Returns:
-            Safe fallback JudgeAssessment
-        """
-        return JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=0,
-                mechanism_reasoning="Assessment failed due to LLM error",
-                clinical_evidence_score=0,
-                clinical_reasoning="Assessment failed due to LLM error",
-                drug_candidates=[],
-                key_findings=[],
-            ),
-            sufficient=False,
-            confidence=0.0,
-            recommendation="continue",
-            next_search_queries=[
-                f"{question} mechanism",
-                f"{question} clinical trials",
-                f"{question} drug candidates",
-            ],
-            reasoning=f"Assessment failed: {error}. Recommend retrying with refined queries.",
-        )
-
-
-class HFInferenceJudgeHandler:
-    """
-    JudgeHandler using HuggingFace Inference API for FREE LLM calls.
-    Defaults to Llama-3.1-8B-Instruct (requires HF_TOKEN) or falls back to public models.
-    """
-
-    FALLBACK_MODELS: ClassVar[list[str]] = [
-        "meta-llama/Llama-3.1-8B-Instruct",  # Primary (Gated)
-        "mistralai/Mistral-7B-Instruct-v0.3",  # Secondary
-        "HuggingFaceH4/zephyr-7b-beta",  # Fallback (Ungated)
-    ]
-
-    def __init__(self, model_id: str | None = None, api_key: str | None = None) -> None:
-        """
-        Initialize with HF Inference client.
-
-        Args:
-            model_id: Optional specific model ID. If None, uses FALLBACK_MODELS chain.
-            api_key: Optional HuggingFace API key/token. If None, uses HF_TOKEN from env.
-        """
-        self.model_id = model_id
-        # Pass api_key to InferenceClient if provided, otherwise it will use HF_TOKEN from env
-        self.client = InferenceClient(api_key=api_key) if api_key else InferenceClient()
-        self.call_count = 0
-        self.last_question: str | None = None
-        self.last_evidence: list[Evidence] | None = None
-
-    async def assess(
-        self,
-        question: str,
-        evidence: list[Evidence],
-    ) -> JudgeAssessment:
-        """
-        Assess evidence using HuggingFace Inference API.
-        Attempts models in order until one succeeds.
-        """
-        self.call_count += 1
-        self.last_question = question
-        self.last_evidence = evidence
-
-        # Format the user prompt
-        if evidence:
-            user_prompt = format_user_prompt(question, evidence)
-        else:
-            user_prompt = format_empty_evidence_prompt(question)
-
-        models_to_try: list[str] = [self.model_id] if self.model_id else self.FALLBACK_MODELS
-        last_error: Exception | None = None
-
-        for model in models_to_try:
-            try:
-                return await self._call_with_retry(model, user_prompt, question)
-            except Exception as e:
-                logger.warning("Model failed", model=model, error=str(e))
-                last_error = e
-                continue
-
-        # All models failed
-        logger.error("All HF models failed", error=str(last_error))
-        return self._create_fallback_assessment(question, str(last_error))
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=4),
-        retry=retry_if_exception_type(Exception),
-        reraise=True,
-    )
-    async def _call_with_retry(self, model: str, prompt: str, question: str) -> JudgeAssessment:
-        """Make API call with retry logic using chat_completion."""
-        loop = asyncio.get_running_loop()
-
-        # Build messages for chat_completion (model-agnostic)
-        messages = [
-            {
-                "role": "system",
-                "content": f"""{SYSTEM_PROMPT}
-
-IMPORTANT: Respond with ONLY valid JSON matching this schema:
-{{
-    "details": {{
-        "mechanism_score": <int 0-10>,
-        "mechanism_reasoning": "<string>",
-        "clinical_evidence_score": <int 0-10>,
-        "clinical_reasoning": "<string>",
-        "drug_candidates": ["<string>", ...],
-        "key_findings": ["<string>", ...]
-    }},
-    "sufficient": <bool>,
-    "confidence": <float 0-1>,
-    "recommendation": "continue" | "synthesize",
-    "next_search_queries": ["<string>", ...],
-    "reasoning": "<string>"
-}}""",
-            },
-            {"role": "user", "content": prompt},
-        ]
-
-        # Use chat_completion (conversational task - supported by all models)
-        response = await loop.run_in_executor(
-            None,
-            lambda: self.client.chat_completion(
-                messages=messages,
-                model=model,
-                max_tokens=1024,
-                temperature=0.1,
-            ),
-        )
-
-        # Extract content from response
-        content = response.choices[0].message.content
-        if not content:
-            raise ValueError("Empty response from model")
-
-        # Extract and parse JSON
-        json_data = self._extract_json(content)
-        if not json_data:
-            raise ValueError("No valid JSON found in response")
-
-        return JudgeAssessment(**json_data)
-
-    def _extract_json(self, text: str) -> dict[str, Any] | None:
-        """
-        Robust JSON extraction that handles markdown blocks and nested braces.
-        """
-        text = text.strip()
-
-        # Remove markdown code blocks if present (with bounds checking)
-        if "```json" in text:
-            parts = text.split("```json", 1)
-            if len(parts) > 1:
-                inner_parts = parts[1].split("```", 1)
-                text = inner_parts[0]
-        elif "```" in text:
-            parts = text.split("```", 1)
-            if len(parts) > 1:
-                inner_parts = parts[1].split("```", 1)
-                text = inner_parts[0]
-
-        text = text.strip()
-
-        # Find first '{'
-        start_idx = text.find("{")
-        if start_idx == -1:
-            return None
-
-        # Stack-based parsing ignoring chars in strings
-        count = 0
-        in_string = False
-        escape = False
-
-        for i, char in enumerate(text[start_idx:], start=start_idx):
-            if in_string:
-                if escape:
-                    escape = False
-                elif char == "\\":
-                    escape = True
-                elif char == '"':
-                    in_string = False
-            elif char == '"':
-                in_string = True
-            elif char == "{":
-                count += 1
-            elif char == "}":
-                count -= 1
-                if count == 0:
-                    try:
-                        result = json.loads(text[start_idx : i + 1])
-                        if isinstance(result, dict):
-                            return result
-                        return None
-                    except json.JSONDecodeError:
-                        return None
-
-        return None
-
-    def _create_fallback_assessment(
-        self,
-        question: str,
-        error: str,
-    ) -> JudgeAssessment:
-        """Create a fallback assessment when inference fails."""
-        return JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=0,
-                mechanism_reasoning=f"Assessment failed: {error}",
-                clinical_evidence_score=0,
-                clinical_reasoning=f"Assessment failed: {error}",
-                drug_candidates=[],
-                key_findings=[],
-            ),
-            sufficient=False,
-            confidence=0.0,
-            recommendation="continue",
-            next_search_queries=[
-                f"{question} mechanism",
-                f"{question} clinical trials",
-                f"{question} drug candidates",
-            ],
-            reasoning=f"HF Inference failed: {error}. Recommend configuring OpenAI/Anthropic key.",
-        )
-
-
-def create_judge_handler() -> JudgeHandler:
-    """Create a judge handler based on configuration.
-
-    Returns:
-        Configured JudgeHandler instance
-    """
-    return JudgeHandler()
-
-
-class MockJudgeHandler:
-    """
-    Mock JudgeHandler for demo mode without LLM calls.
-
-    Extracts meaningful information from real search results
-    to provide a useful demo experience without requiring API keys.
-    """
-
-    def __init__(self, mock_response: JudgeAssessment | None = None) -> None:
-        """
-        Initialize with optional mock response.
-
-        Args:
-            mock_response: The assessment to return. If None, extracts from evidence.
-        """
-        self.mock_response = mock_response
-        self.call_count = 0
-        self.last_question: str | None = None
-        self.last_evidence: list[Evidence] | None = None
-
-    def _extract_key_findings(self, evidence: list[Evidence], max_findings: int = 5) -> list[str]:
-        """Extract key findings from evidence titles."""
-        findings = []
-        for e in evidence[:max_findings]:
-            # Use first 150 chars of title as a finding
-            title = e.citation.title
-            if len(title) > 150:
-                title = title[:147] + "..."
-            findings.append(title)
-        return findings if findings else ["No specific findings extracted (demo mode)"]
-
-    def _extract_drug_candidates(self, question: str, evidence: list[Evidence]) -> list[str]:
-        """Extract drug candidates - demo mode returns honest message."""
-        # Don't attempt heuristic extraction - it produces garbage like "Oral", "Kidney"
-        # Real drug extraction requires LLM analysis
-        return [
-            "Drug identification requires AI analysis",
-            "Enter API key above for full results",
-        ]
-
-    async def assess(
-        self,
-        question: str,
-        evidence: list[Evidence],
-    ) -> JudgeAssessment:
-        """Return assessment based on actual evidence (demo mode)."""
-        self.call_count += 1
-        self.last_question = question
-        self.last_evidence = evidence
-
-        if self.mock_response:
-            return self.mock_response
-
-        min_evidence = 3
-        evidence_count = len(evidence)
-
-        # Extract meaningful data from actual evidence
-        drug_candidates = self._extract_drug_candidates(question, evidence)
-        key_findings = self._extract_key_findings(evidence)
-
-        # Calculate scores based on evidence quantity
-        mechanism_score = min(10, evidence_count * 2) if evidence_count > 0 else 0
-        clinical_score = min(10, evidence_count) if evidence_count > 0 else 0
-
-        return JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=mechanism_score,
-                mechanism_reasoning=(
-                    f"Demo mode: Found {evidence_count} sources. "
-                    "Configure LLM API key for detailed mechanism analysis."
-                ),
-                clinical_evidence_score=clinical_score,
-                clinical_reasoning=(
-                    f"Demo mode: {evidence_count} sources retrieved from PubMed, "
-                    "ClinicalTrials.gov, and Europe PMC. Full analysis requires LLM API key."
-                ),
-                drug_candidates=drug_candidates,
-                key_findings=key_findings,
-            ),
-            sufficient=evidence_count >= min_evidence,
-            confidence=min(0.5, evidence_count * 0.1) if evidence_count > 0 else 0.0,
-            recommendation="synthesize" if evidence_count >= min_evidence else "continue",
-            next_search_queries=(
-                [f"{question} mechanism", f"{question} clinical trials"]
-                if evidence_count < min_evidence
-                else []
-            ),
-            reasoning=(
-                f"Demo mode assessment based on {evidence_count} real search results. "
-                "For AI-powered analysis with drug candidate identification and "
-                "evidence synthesis, configure OPENAI_API_KEY or ANTHROPIC_API_KEY."
-            ),
-        )
diff --git a/src/agents/__init__.py b/src/agents/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/src/agents/analysis_agent.py b/src/agents/analysis_agent.py
deleted file mode 100644
index e8bbc7fec996050d96af1f9edd3c8605744fc830..0000000000000000000000000000000000000000
--- a/src/agents/analysis_agent.py
+++ /dev/null
@@ -1,145 +0,0 @@
-"""Analysis agent for statistical analysis using Modal code execution.
-
-This agent wraps StatisticalAnalyzer for use in magentic multi-agent mode.
-The core logic is in src/services/statistical_analyzer.py to avoid
-coupling agent_framework to the simple orchestrator.
-"""
-
-from collections.abc import AsyncIterable
-from typing import TYPE_CHECKING, Any
-
-from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
-    AgentThread,
-    BaseAgent,
-    ChatMessage,
-    Role,
-)
-
-from src.services.statistical_analyzer import (
-    AnalysisResult,
-    get_statistical_analyzer,
-)
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-
-class AnalysisAgent(BaseAgent):  # type: ignore[misc]
-    """Wraps StatisticalAnalyzer for magentic multi-agent mode."""
-
-    def __init__(
-        self,
-        evidence_store: dict[str, Any],
-        embedding_service: "EmbeddingService | None" = None,
-    ) -> None:
-        super().__init__(
-            name="AnalysisAgent",
-            description="Performs statistical analysis using Modal sandbox",
-        )
-        self._evidence_store = evidence_store
-        self._embeddings = embedding_service
-        self._analyzer = get_statistical_analyzer()
-
-    async def run(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AgentRunResponse:
-        """Analyze evidence and return verdict."""
-        query = self._extract_query(messages)
-        hypotheses = self._evidence_store.get("hypotheses", [])
-        evidence = self._evidence_store.get("current", [])
-
-        if not evidence:
-            return self._error_response("No evidence available.")
-
-        # Get primary hypothesis if available
-        hypothesis_dict = None
-        if hypotheses:
-            h = hypotheses[0]
-            hypothesis_dict = {
-                "drug": getattr(h, "drug", "Unknown"),
-                "target": getattr(h, "target", "?"),
-                "pathway": getattr(h, "pathway", "?"),
-                "effect": getattr(h, "effect", "?"),
-                "confidence": getattr(h, "confidence", 0.5),
-            }
-
-        # Delegate to StatisticalAnalyzer
-        result = await self._analyzer.analyze(
-            query=query,
-            evidence=evidence,
-            hypothesis=hypothesis_dict,
-        )
-
-        # Store in shared context
-        self._evidence_store["analysis"] = result.model_dump()
-
-        # Format response
-        response_text = self._format_response(result)
-
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=response_text)],
-            response_id=f"analysis-{result.verdict.lower()}",
-            additional_properties={"analysis": result.model_dump()},
-        )
-
-    def _format_response(self, result: AnalysisResult) -> str:
-        """Format analysis result as markdown."""
-        lines = [
-            "## Statistical Analysis Complete\n",
-            f"### Verdict: **{result.verdict}**",
-            f"**Confidence**: {result.confidence:.0%}\n",
-            "### Key Findings",
-        ]
-        for finding in result.key_findings:
-            lines.append(f"- {finding}")
-
-        lines.extend(
-            [
-                "\n### Statistical Evidence",
-                "```",
-                result.statistical_evidence,
-                "```",
-            ]
-        )
-        return "\n".join(lines)
-
-    def _error_response(self, message: str) -> AgentRunResponse:
-        """Create error response."""
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=f"**Error**: {message}")],
-            response_id="analysis-error",
-        )
-
-    def _extract_query(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None,
-    ) -> str:
-        """Extract query from messages."""
-        if isinstance(messages, str):
-            return messages
-        elif isinstance(messages, ChatMessage):
-            return messages.text or ""
-        elif isinstance(messages, list):
-            for msg in reversed(messages):
-                if isinstance(msg, ChatMessage) and msg.role == Role.USER:
-                    return msg.text or ""
-                elif isinstance(msg, str):
-                    return msg
-        return ""
-
-    async def run_stream(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
-        """Streaming wrapper."""
-        result = await self.run(messages, thread=thread, **kwargs)
-        yield AgentRunResponseUpdate(messages=result.messages, response_id=result.response_id)
diff --git a/src/agents/audio_refiner.py b/src/agents/audio_refiner.py
deleted file mode 100644
index 257c6f5e6df42b16687f181a98ab36178dc9b26a..0000000000000000000000000000000000000000
--- a/src/agents/audio_refiner.py
+++ /dev/null
@@ -1,402 +0,0 @@
-"""Audio Refiner Agent - Cleans markdown reports for TTS audio clarity.
-
-This agent transforms markdown-formatted research reports into clean,
-audio-friendly plain text suitable for text-to-speech synthesis.
-"""
-
-import re
-
-import structlog
-from pydantic_ai import Agent
-
-from src.utils.llm_factory import get_pydantic_ai_model
-
-logger = structlog.get_logger(__name__)
-
-
-class AudioRefiner:
-    """Refines markdown reports for optimal TTS audio output.
-
-    Handles common formatting issues that make text difficult to listen to:
-    - Markdown syntax (headers, bold, italic, links)
-    - Citations and reference markers
-    - Roman numerals in medical contexts
-    - Multiple References sections
-    - Special characters and formatting artifacts
-    """
-
-    # Roman numeral to integer mapping
-    ROMAN_VALUES = {"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000}
-
-    # Number to word mapping (1-20, common in medical literature)
-    NUMBER_TO_WORD = {
-        1: "One",
-        2: "Two",
-        3: "Three",
-        4: "Four",
-        5: "Five",
-        6: "Six",
-        7: "Seven",
-        8: "Eight",
-        9: "Nine",
-        10: "Ten",
-        11: "Eleven",
-        12: "Twelve",
-        13: "Thirteen",
-        14: "Fourteen",
-        15: "Fifteen",
-        16: "Sixteen",
-        17: "Seventeen",
-        18: "Eighteen",
-        19: "Nineteen",
-        20: "Twenty",
-    }
-
-    async def refine_for_audio(self, markdown_text: str, use_llm_polish: bool = False) -> str:
-        """Transform markdown report into audio-friendly plain text.
-
-        Args:
-            markdown_text: Markdown-formatted research report
-            use_llm_polish: If True, apply LLM-based final polish (optional)
-
-        Returns:
-            Clean plain text optimized for TTS audio
-        """
-        logger.info("Refining report for audio output", use_llm_polish=use_llm_polish)
-
-        text = markdown_text
-
-        # Step 1: Remove References sections first (before other processing)
-        text = self._remove_references_sections(text)
-
-        # Step 2: Remove markdown formatting
-        text = self._remove_markdown_syntax(text)
-
-        # Step 3: Convert roman numerals to words
-        text = self._convert_roman_numerals(text)
-
-        # Step 4: Remove citations
-        text = self._remove_citations(text)
-
-        # Step 5: Clean up special characters and artifacts
-        text = self._clean_special_characters(text)
-
-        # Step 6: Normalize whitespace
-        text = self._normalize_whitespace(text)
-
-        # Step 7 (Optional): LLM polish for edge cases
-        if use_llm_polish:
-            text = await self._llm_polish(text)
-
-        logger.info(
-            "Audio refinement complete",
-            original_length=len(markdown_text),
-            refined_length=len(text),
-            llm_polish_applied=use_llm_polish,
-        )
-
-        return text.strip()
-
-    def _remove_references_sections(self, text: str) -> str:
-        """Remove References sections while preserving other content.
-
-        Removes the References section and its content until the next section
-        heading or end of document. Handles multiple References sections.
-
-        Matches various References heading formats:
-        - # References
-        - ## References
-        - **References:**
-        - **Additional References:**
-        - References: (plain text)
-        """
-        # Pattern to match References section heading (case-insensitive)
-        # Matches: markdown headers (# References), bold (**References:**), or plain text (References:)
-        references_pattern = r"\n(?:#+\s*References?:?\s*\n|\*\*\s*(?:Additional\s+)?References?:?\s*\*\*\s*\n|References?:?\s*\n)"
-
-        # Find all References sections
-        while True:
-            match = re.search(references_pattern, text, re.IGNORECASE)
-            if not match:
-                break
-
-            # Find the start of the References section
-            section_start = match.start()
-
-            # Find the next section (markdown header or bold heading) or end of document
-            # Match: "# Header", "## Header", or "**Header**"
-            next_section_patterns = [
-                r"\n#+\s+\w+",  # Markdown headers (# Section, ## Section)
-                r"\n\*\*[A-Z][^*]+\*\*",  # Bold headings (**Section Name**)
-            ]
-
-            remaining_text = text[match.end() :]
-            next_section_match = None
-
-            # Try all patterns and find the earliest match
-            earliest_match = None
-            for pattern in next_section_patterns:
-                m = re.search(pattern, remaining_text)
-                if m and (earliest_match is None or m.start() < earliest_match.start()):
-                    earliest_match = m
-
-            next_section_match = earliest_match
-
-            if next_section_match:
-                # Remove from References heading to next section
-                section_end = match.end() + next_section_match.start()
-            else:
-                # No next section - remove to end of document
-                section_end = len(text)
-
-            # Remove the References section
-            text = text[:section_start] + text[section_end:]
-            logger.debug("Removed References section", removed_chars=section_end - section_start)
-
-        return text
-
-    def _remove_markdown_syntax(self, text: str) -> str:
-        """Remove markdown formatting syntax."""
-
-        # Headers (# ## ###)
-        text = re.sub(r"^\s*#+\s+", "", text, flags=re.MULTILINE)
-
-        # Bold (**text** or __text__)
-        text = re.sub(r"\*\*([^*]+)\*\*", r"\1", text)
-        text = re.sub(r"__([^_]+)__", r"\1", text)
-
-        # Italic (*text* or _text_)
-        text = re.sub(r"\*([^*]+)\*", r"\1", text)
-        text = re.sub(r"_([^_]+)_", r"\1", text)
-
-        # Links [text](url) → text
-        text = re.sub(r"\[([^\]]+)\]\([^)]+\)", r"\1", text)
-
-        # Inline code `code` → code
-        text = re.sub(r"`([^`]+)`", r"\1", text)
-
-        # Strikethrough ~~text~~
-        text = re.sub(r"~~([^~]+)~~", r"\1", text)
-
-        # Blockquotes (> text)
-        text = re.sub(r"^\s*>\s+", "", text, flags=re.MULTILINE)
-
-        # Horizontal rules (---, ***, ___)
-        text = re.sub(r"^\s*[-*_]{3,}\s*$", "", text, flags=re.MULTILINE)
-
-        # List markers (-, *, 1., 2.)
-        text = re.sub(r"^\s*[-*]\s+", "", text, flags=re.MULTILINE)
-        text = re.sub(r"^\s*\d+\.\s+", "", text, flags=re.MULTILINE)
-
-        return text
-
-    def _roman_to_int(self, roman: str) -> int | None:
-        """Convert roman numeral string to integer.
-
-        Args:
-            roman: Roman numeral string (e.g., 'IV', 'XII')
-
-        Returns:
-            Integer value, or None if invalid roman numeral
-        """
-        roman = roman.upper()
-        result = 0
-        prev_value = 0
-
-        for char in reversed(roman):
-            if char not in self.ROMAN_VALUES:
-                return None
-
-            value = self.ROMAN_VALUES[char]
-
-            # Subtractive notation (IV = 4, IX = 9)
-            if value < prev_value:
-                result -= value
-            else:
-                result += value
-
-            prev_value = value
-
-        return result
-
-    def _int_to_word(self, num: int) -> str:
-        """Convert integer to word representation.
-
-        Args:
-            num: Integer to convert (1-20 supported)
-
-        Returns:
-            Word representation (e.g., 'One', 'Twelve')
-        """
-        if num in self.NUMBER_TO_WORD:
-            return self.NUMBER_TO_WORD[num]
-        else:
-            # For numbers > 20, just return the digit
-            return str(num)
-
-    def _convert_roman_numerals(self, text: str) -> str:
-        """Convert roman numerals to words for better TTS pronunciation.
-
-        Handles patterns like:
-        - Phase I, Phase II, Phase III
-        - Trial I, Trial II
-        - Type I, Type II
-        - Stage I, Stage II
-        - Standalone I, II, III (with word boundaries)
-        """
-
-        def replace_roman(match: re.Match[str]) -> str:
-            """Callback to replace matched roman numeral."""
-            prefix = match.group(1)  # Word before roman numeral (if any)
-            roman = match.group(2)  # The roman numeral
-
-            # Convert to integer
-            num = self._roman_to_int(roman)
-            if num is None:
-                return match.group(0)  # Return original if invalid
-
-            # Convert to word
-            word = self._int_to_word(num)
-
-            # Return with prefix if present
-            if prefix:
-                return f"{prefix} {word}"
-            else:
-                return word
-
-        # Pattern: Optional word + space + roman numeral
-        # Matches: "Phase I", "Trial II", standalone "I", "II"
-        # Uses word boundaries to avoid matching "I" in "INVALID"
-        pattern = r"\b(Phase|Trial|Type|Stage|Class|Group|Arm|Cohort)?\s*([IVXLCDM]+)\b"
-
-        text = re.sub(pattern, replace_roman, text)
-
-        return text
-
-    def _remove_citations(self, text: str) -> str:
-        """Remove citation markers and references."""
-
-        # Numbered citations [1], [2], [1,2], [1-3]
-        text = re.sub(r"\[\d+(?:[-,]\d+)*\]", "", text)
-
-        # Author citations (Smith et al., 2023) or (Smith et al. 2023)
-        text = re.sub(r"\([A-Z][a-z]+\s+et\s+al\.?,?\s+\d{4}\)", "", text)
-
-        # Simple year citations (2023)
-        text = re.sub(r"\(\d{4}\)", "", text)
-
-        # Author-year (Smith, 2023)
-        text = re.sub(r"\([A-Z][a-z]+,?\s+\d{4}\)", "", text)
-
-        # Footnote markers (¹, ², ³)
-        text = re.sub(r"[¹²³⁴⁵⁶⁷⁸⁹⁰]+", "", text)
-
-        return text
-
-    def _clean_special_characters(self, text: str) -> str:
-        """Clean up special characters and formatting artifacts."""
-
-        # Replace em dashes with regular dashes
-        text = text.replace("\u2014", "-")  # em dash
-        text = text.replace("\u2013", "-")  # en dash
-
-        # Replace smart quotes with regular quotes
-        text = text.replace("\u201c", '"')  # left double quote
-        text = text.replace("\u201d", '"')  # right double quote
-        text = text.replace("\u2018", "'")  # left single quote
-        text = text.replace("\u2019", "'")  # right single quote
-
-        # Remove excessive punctuation (!!!, ???)
-        text = re.sub(r"([!?]){2,}", r"\1", text)
-
-        # Remove asterisks used for footnotes
-        text = re.sub(r"\*+", "", text)
-
-        # Remove hash symbols (from headers)
-        text = text.replace("#", "")
-
-        # Remove excessive dots (...)
-        text = re.sub(r"\.{4,}", "...", text)
-
-        return text
-
-    def _normalize_whitespace(self, text: str) -> str:
-        """Normalize whitespace for clean audio output."""
-
-        # Replace multiple spaces with single space
-        text = re.sub(r" {2,}", " ", text)
-
-        # Replace multiple newlines with double newline (paragraph break)
-        text = re.sub(r"\n{3,}", "\n\n", text)
-
-        # Remove trailing/leading whitespace from lines
-        text = "\n".join(line.strip() for line in text.split("\n"))
-
-        # Remove empty lines at start/end
-        text = text.strip()
-
-        return text
-
-    async def _llm_polish(self, text: str) -> str:
-        """Apply LLM-based final polish to catch edge cases.
-
-        This is a lightweight pass that removes any remaining formatting
-        artifacts the rule-based methods might have missed.
-
-        Args:
-            text: Pre-cleaned text from rule-based methods
-
-        Returns:
-            Final polished text ready for TTS
-        """
-        try:
-            # Create a simple agent for text cleanup
-            model = get_pydantic_ai_model()
-            polish_agent = Agent(
-                model=model,
-                system_prompt=(
-                    "You are a text cleanup assistant. Your ONLY job is to remove "
-                    "any remaining formatting artifacts (markdown, citations, special "
-                    "characters) that make text unsuitable for text-to-speech audio. "
-                    "DO NOT rewrite, improve, or change the content. "
-                    "DO NOT add explanations. "
-                    "ONLY output the cleaned text."
-                ),
-            )
-
-            # Run asynchronously
-            result = await polish_agent.run(
-                f"Clean this text for audio (remove any formatting artifacts):\n\n{text}"
-            )
-
-            polished_text = result.output.strip()
-
-            logger.info(
-                "llm_polish_applied", original_length=len(text), polished_length=len(polished_text)
-            )
-
-            return polished_text
-
-        except Exception as e:
-            logger.warning(
-                "llm_polish_failed", error=str(e), message="Falling back to rule-based output"
-            )
-            # Graceful fallback: return original text if LLM fails
-            return text
-
-
-# Singleton instance for easy import
-audio_refiner = AudioRefiner()
-
-
-async def refine_text_for_audio(markdown_text: str, use_llm_polish: bool = False) -> str:
-    """Convenience function to refine markdown text for audio.
-
-    Args:
-        markdown_text: Markdown-formatted text
-        use_llm_polish: If True, apply LLM-based final polish (optional)
-
-    Returns:
-        Audio-friendly plain text
-    """
-    return await audio_refiner.refine_for_audio(markdown_text, use_llm_polish=use_llm_polish)
diff --git a/src/agents/code_executor_agent.py b/src/agents/code_executor_agent.py
deleted file mode 100644
index e86eab2225b9071e3421ed4f62173867d43ae1ea..0000000000000000000000000000000000000000
--- a/src/agents/code_executor_agent.py
+++ /dev/null
@@ -1,67 +0,0 @@
-"""Code execution agent using Modal."""
-
-import asyncio
-from typing import Any
-
-import structlog
-from agent_framework import ChatAgent, ai_function
-
-from src.tools.code_execution import get_code_executor
-from src.utils.llm_factory import get_chat_client_for_agent
-
-logger = structlog.get_logger()
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def execute_python_code(code: str) -> str:
-    """Execute Python code in a secure sandbox.
-
-    Args:
-        code: The Python code to execute.
-
-    Returns:
-        The standard output and standard error of the execution.
-    """
-    logger.info("Code execution starting", code_length=len(code))
-    executor = get_code_executor()
-    loop = asyncio.get_running_loop()
-
-    # Run in executor to avoid blocking
-    try:
-        result = await loop.run_in_executor(None, lambda: executor.execute(code))
-        if result["success"]:
-            logger.info("Code execution succeeded")
-            return f"Stdout:\n{result['stdout']}"
-        else:
-            logger.warning("Code execution failed", error=result.get("error"))
-            return f"Error:\n{result['error']}\nStderr:\n{result['stderr']}"
-    except Exception as e:
-        logger.error("Code execution exception", error=str(e))
-        return f"Execution failed: {e}"
-
-
-def create_code_executor_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a code executor agent.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for code execution.
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="CodeExecutorAgent",
-        description="Executes Python code for data analysis, calculation, and simulation.",
-        instructions="""You are a code execution expert.
-When asked to analyze data or perform calculations, write Python code and execute it.
-Use libraries like pandas, numpy, scipy, matplotlib.
-
-Always output the code you want to execute using the `execute_python_code` tool.
-Check the output and interpret the results.""",
-        chat_client=client,
-        tools=[execute_python_code],
-        temperature=0.0,  # Strict code generation
-    )
diff --git a/src/agents/hypothesis_agent.py b/src/agents/hypothesis_agent.py
deleted file mode 100644
index 6619fae1da264e80f296d7aa56528a17c1aa6815..0000000000000000000000000000000000000000
--- a/src/agents/hypothesis_agent.py
+++ /dev/null
@@ -1,144 +0,0 @@
-"""Hypothesis agent for mechanistic reasoning."""
-
-from collections.abc import AsyncIterable
-from typing import TYPE_CHECKING, Any
-
-from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
-    AgentThread,
-    BaseAgent,
-    ChatMessage,
-    Role,
-)
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.prompts.hypothesis import SYSTEM_PROMPT, format_hypothesis_prompt
-from src.utils.models import HypothesisAssessment
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-
-class HypothesisAgent(BaseAgent):  # type: ignore[misc]
-    """Generates mechanistic hypotheses based on evidence."""
-
-    def __init__(
-        self,
-        evidence_store: dict[str, Any],
-        embedding_service: "EmbeddingService | None" = None,  # NEW: for diverse selection
-    ) -> None:
-        super().__init__(
-            name="HypothesisAgent",
-            description="Generates scientific hypotheses about drug mechanisms to guide research",
-        )
-        self._evidence_store = evidence_store
-        self._embeddings = embedding_service  # Used for MMR evidence selection
-        self._agent: Agent[None, HypothesisAssessment] | None = None  # Lazy init
-
-    def _get_agent(self) -> Agent[None, HypothesisAssessment]:
-        """Lazy initialization of LLM agent to avoid requiring API keys at import."""
-        if self._agent is None:
-            self._agent = Agent(
-                model=get_model(),  # Uses configured LLM (OpenAI/Anthropic)
-                output_type=HypothesisAssessment,
-                system_prompt=SYSTEM_PROMPT,
-            )
-        return self._agent
-
-    async def run(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AgentRunResponse:
-        """Generate hypotheses based on current evidence."""
-        # Extract query
-        query = self._extract_query(messages)
-
-        # Get current evidence
-        evidence = self._evidence_store.get("current", [])
-
-        if not evidence:
-            return AgentRunResponse(
-                messages=[
-                    ChatMessage(
-                        role=Role.ASSISTANT,
-                        text="No evidence available yet. Search for evidence first.",
-                    )
-                ],
-                response_id="hypothesis-no-evidence",
-            )
-
-        # Generate hypotheses with diverse evidence selection
-        prompt = await format_hypothesis_prompt(query, evidence, embeddings=self._embeddings)
-        result = await self._get_agent().run(prompt)
-        assessment = result.output  # pydantic-ai returns .output for structured output
-
-        # Store hypotheses in shared context
-        existing = self._evidence_store.get("hypotheses", [])
-        self._evidence_store["hypotheses"] = existing + assessment.hypotheses
-
-        # Format response
-        response_text = self._format_response(assessment)
-
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=response_text)],
-            response_id=f"hypothesis-{len(assessment.hypotheses)}",
-            additional_properties={"assessment": assessment.model_dump()},
-        )
-
-    def _format_response(self, assessment: HypothesisAssessment) -> str:
-        """Format hypothesis assessment as markdown."""
-        lines = ["## Generated Hypotheses\n"]
-
-        for i, h in enumerate(assessment.hypotheses, 1):
-            lines.append(f"### Hypothesis {i} (Confidence: {h.confidence:.0%})")
-            lines.append(f"**Mechanism**: {h.drug} -> {h.target} -> {h.pathway} -> {h.effect}")
-            lines.append(f"**Suggested searches**: {', '.join(h.search_suggestions)}\n")
-
-        if assessment.primary_hypothesis:
-            lines.append("### Primary Hypothesis")
-            h = assessment.primary_hypothesis
-            lines.append(f"{h.drug} -> {h.target} -> {h.pathway} -> {h.effect}\n")
-
-        if assessment.knowledge_gaps:
-            lines.append("### Knowledge Gaps")
-            for gap in assessment.knowledge_gaps:
-                lines.append(f"- {gap}")
-
-        if assessment.recommended_searches:
-            lines.append("\n### Recommended Next Searches")
-            for search in assessment.recommended_searches:
-                lines.append(f"- `{search}`")
-
-        return "\n".join(lines)
-
-    def _extract_query(
-        self, messages: str | ChatMessage | list[str] | list[ChatMessage] | None
-    ) -> str:
-        """Extract query from messages."""
-        if isinstance(messages, str):
-            return messages
-        elif isinstance(messages, ChatMessage):
-            return messages.text or ""
-        elif isinstance(messages, list):
-            for msg in reversed(messages):
-                if isinstance(msg, ChatMessage) and msg.role == Role.USER:
-                    return msg.text or ""
-                elif isinstance(msg, str):
-                    return msg
-        return ""
-
-    async def run_stream(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
-        """Streaming wrapper."""
-        result = await self.run(messages, thread=thread, **kwargs)
-        yield AgentRunResponseUpdate(messages=result.messages, response_id=result.response_id)
diff --git a/src/agents/input_parser.py b/src/agents/input_parser.py
deleted file mode 100644
index bb6b920d415287e35d8a471a1c7aaf64f371ec6c..0000000000000000000000000000000000000000
--- a/src/agents/input_parser.py
+++ /dev/null
@@ -1,189 +0,0 @@
-"""Input parser agent for analyzing and improving user queries.
-
-Determines research mode (iterative vs deep) and extracts key information
-from user queries to improve research quality.
-"""
-
-from typing import TYPE_CHECKING, Any, Literal
-
-import structlog
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError, JudgeError
-from src.utils.models import ParsedQuery
-
-if TYPE_CHECKING:
-    pass
-
-logger = structlog.get_logger()
-
-# System prompt for the input parser agent
-SYSTEM_PROMPT = """
-You are an expert research query analyzer for a generalist deep research agent. Your job is to analyze user queries and determine:
-1. Whether the query requires iterative research (single focused question) or deep research (multiple sections/topics)
-2. Whether the query requires medical/biomedical knowledge sources (PubMed, ClinicalTrials.gov) or general knowledge sources (web search)
-3. Improve and refine the query for better research results
-4. Extract key entities (drugs, diseases, companies, technologies, concepts, etc.)
-5. Extract specific research questions
-
-Guidelines for determining research mode:
-- **Iterative mode**: Single focused question, straightforward research goal, can be answered with a focused search loop
-  Examples: "What is the mechanism of metformin?", "How does quantum computing work?", "What are the latest AI models?"
-  
-- **Deep mode**: Complex query requiring multiple sections, comprehensive report, multiple related topics
-  Examples: "Write a comprehensive report on diabetes treatment", "Analyze the market for quantum computing", "Review the state of AI in healthcare"
-  Indicators: words like "comprehensive", "report", "sections", "analyze", "market analysis", "overview"
-
-Guidelines for determining if medical knowledge is needed:
-- **Medical knowledge needed**: Queries about diseases, treatments, drugs, clinical trials, medical conditions, biomedical mechanisms, health outcomes, etc.
-  Examples: "Alzheimer's treatment", "metformin mechanism", "cancer clinical trials", "diabetes research"
-  
-- **General knowledge sufficient**: Queries about technology, business, science (non-medical), history, current events, etc.
-  Examples: "quantum computing", "AI models", "market analysis", "historical events"
-
-Your output must be valid JSON matching the ParsedQuery schema. Always provide:
-- original_query: The exact input query
-- improved_query: A refined, clearer version of the query
-- research_mode: Either "iterative" or "deep"
-- key_entities: List of important entities (drugs, diseases, companies, technologies, etc.)
-- research_questions: List of specific questions to answer
-
-Only output JSON. Do not output anything else.
-"""
-
-
-class InputParserAgent:
-    """
-    Input parser agent that analyzes queries and determines research mode.
-
-    Uses Pydantic AI to generate structured ParsedQuery output with research
-    mode detection, query improvement, and entity extraction.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the input parser agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent
-        self.agent = Agent(
-            model=self.model,
-            output_type=ParsedQuery,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def parse(self, query: str) -> ParsedQuery:
-        """
-        Parse and analyze a user query.
-
-        Args:
-            query: The user's research query
-
-        Returns:
-            ParsedQuery with research mode, improved query, entities, and questions
-
-        Raises:
-            JudgeError: If parsing fails after retries
-            ConfigurationError: If agent configuration is invalid
-        """
-        self.logger.info("Parsing user query", query=query[:100])
-
-        user_message = f"QUERY: {query}"
-
-        try:
-            # Run the agent
-            result = await self.agent.run(user_message)
-            parsed_query = result.output
-
-            # Validate parsed query
-            if not parsed_query.original_query:
-                self.logger.warning("Parsed query missing original_query", query=query[:100])
-                raise JudgeError("Parsed query must have original_query")
-
-            if not parsed_query.improved_query:
-                self.logger.warning("Parsed query missing improved_query", query=query[:100])
-                # Use original as fallback
-                parsed_query = ParsedQuery(
-                    original_query=parsed_query.original_query,
-                    improved_query=parsed_query.original_query,
-                    research_mode=parsed_query.research_mode,
-                    key_entities=parsed_query.key_entities,
-                    research_questions=parsed_query.research_questions,
-                )
-
-            self.logger.info(
-                "Query parsed successfully",
-                mode=parsed_query.research_mode,
-                entities=len(parsed_query.key_entities),
-                questions=len(parsed_query.research_questions),
-            )
-
-            return parsed_query
-
-        except Exception as e:
-            self.logger.error("Query parsing failed", error=str(e), query=query[:100])
-
-            # Fallback: return basic parsed query with heuristic mode detection
-            if isinstance(e, JudgeError | ConfigurationError):
-                raise
-
-            # Heuristic fallback
-            query_lower = query.lower()
-            research_mode: Literal["iterative", "deep"] = "iterative"
-            if any(
-                keyword in query_lower
-                for keyword in [
-                    "comprehensive",
-                    "report",
-                    "sections",
-                    "analyze",
-                    "analysis",
-                    "overview",
-                    "market",
-                ]
-            ):
-                research_mode = "deep"
-
-            return ParsedQuery(
-                original_query=query,
-                improved_query=query,
-                research_mode=research_mode,
-                key_entities=[],
-                research_questions=[],
-            )
-
-
-def create_input_parser_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> InputParserAgent:
-    """
-    Factory function to create an input parser agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured InputParserAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        # Get model from settings if not provided
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        # Create and return input parser agent
-        return InputParserAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create input parser agent", error=str(e))
-        raise ConfigurationError(f"Failed to create input parser agent: {e}") from e
diff --git a/src/agents/judge_agent.py b/src/agents/judge_agent.py
deleted file mode 100644
index 9bab6dbbfcf9850f33aac8c0a8b267fc7a16fc58..0000000000000000000000000000000000000000
--- a/src/agents/judge_agent.py
+++ /dev/null
@@ -1,98 +0,0 @@
-"""Judge agent wrapper for Magentic integration."""
-
-from collections.abc import AsyncIterable
-from typing import Any
-
-from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
-    AgentThread,
-    BaseAgent,
-    ChatMessage,
-    Role,
-)
-
-from src.legacy_orchestrator import JudgeHandlerProtocol
-from src.utils.models import Evidence, JudgeAssessment
-
-
-class JudgeAgent(BaseAgent):  # type: ignore[misc]
-    """Wraps JudgeHandler as an AgentProtocol for Magentic."""
-
-    def __init__(
-        self,
-        judge_handler: JudgeHandlerProtocol,
-        evidence_store: dict[str, list[Evidence]],
-    ) -> None:
-        super().__init__(
-            name="JudgeAgent",
-            description="Evaluates evidence quality and determines if sufficient for synthesis",
-        )
-        self._handler = judge_handler
-        self._evidence_store = evidence_store  # Shared state for evidence
-
-    async def run(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AgentRunResponse:
-        """Assess evidence quality."""
-        # Extract original question from messages
-        question = ""
-        if isinstance(messages, list):
-            for msg in reversed(messages):
-                if isinstance(msg, ChatMessage) and msg.role == Role.USER and msg.text:
-                    question = msg.text
-                    break
-                elif isinstance(msg, str):
-                    question = msg
-                    break
-        elif isinstance(messages, str):
-            question = messages
-        elif isinstance(messages, ChatMessage) and messages.text:
-            question = messages.text
-
-        # Get evidence from shared store
-        evidence = self._evidence_store.get("current", [])
-
-        # Assess
-        assessment: JudgeAssessment = await self._handler.assess(question, evidence)
-
-        # Format response
-        response_text = f"""## Assessment
-
-**Sufficient**: {assessment.sufficient}
-**Confidence**: {assessment.confidence:.0%}
-**Recommendation**: {assessment.recommendation}
-
-### Scores
-- Mechanism: {assessment.details.mechanism_score}/10
-- Clinical: {assessment.details.clinical_evidence_score}/10
-
-### Reasoning
-{assessment.reasoning}
-"""
-
-        if assessment.next_search_queries:
-            response_text += "\n### Next Queries\n" + "\n".join(
-                f"- {q}" for q in assessment.next_search_queries
-            )
-
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=response_text)],
-            response_id=f"judge-{assessment.recommendation}",
-            additional_properties={"assessment": assessment.model_dump()},
-        )
-
-    async def run_stream(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
-        """Streaming wrapper for judge."""
-        result = await self.run(messages, thread=thread, **kwargs)
-        yield AgentRunResponseUpdate(messages=result.messages, response_id=result.response_id)
diff --git a/src/agents/judge_agent_llm.py b/src/agents/judge_agent_llm.py
deleted file mode 100644
index 12453e09489d9379fdf2e61c213591dcc27a5a27..0000000000000000000000000000000000000000
--- a/src/agents/judge_agent_llm.py
+++ /dev/null
@@ -1,45 +0,0 @@
-"""LLM Judge for sub-iterations."""
-
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.utils.models import JudgeAssessment
-
-logger = structlog.get_logger()
-
-
-class LLMSubIterationJudge:
-    """Judge that uses an LLM to assess sub-iteration results."""
-
-    def __init__(self) -> None:
-        self.model = get_model()
-        self.agent = Agent(
-            model=self.model,
-            output_type=JudgeAssessment,
-            system_prompt="""You are a strict judge evaluating a research task.
-
-Evaluate if the result is sufficient to answer the task.
-Provide scores and detailed reasoning.
-If not sufficient, suggest next steps.""",
-            retries=3,
-        )
-
-    async def assess(self, task: str, result: Any, history: list[Any]) -> JudgeAssessment:
-        """Assess the result using LLM."""
-        logger.info("LLM judge assessing result", task=task[:100], history_len=len(history))
-
-        prompt = f"""Task: {task}
-
-Current Result:
-{str(result)[:4000]}
-
-History of previous attempts: {len(history)}
-
-Evaluate validity and sufficiency."""
-
-        run_result = await self.agent.run(prompt)
-        logger.info("LLM judge assessment complete", sufficient=run_result.output.sufficient)
-        return run_result.output
diff --git a/src/agents/knowledge_gap.py b/src/agents/knowledge_gap.py
deleted file mode 100644
index 4ceab6cc2740eb22df06212ca3dc29bdb94dbc62..0000000000000000000000000000000000000000
--- a/src/agents/knowledge_gap.py
+++ /dev/null
@@ -1,169 +0,0 @@
-"""Knowledge gap agent for evaluating research completeness.
-
-Converts the folder/knowledge_gap_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import KnowledgeGapOutput
-
-logger = structlog.get_logger()
-
-
-# System prompt for the knowledge gap agent
-SYSTEM_PROMPT = f"""
-You are a Research State Evaluator. Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-Your job is to critically analyze the current state of a research report, 
-identify what knowledge gaps still exist and determine the best next step to take.
-
-You will be given:
-1. The original user query and any relevant background context to the query
-2. A full history of the tasks, actions, findings and thoughts you've made up until this point in the research process
-
-Your task is to:
-1. Carefully review the findings and thoughts, particularly from the latest iteration, and assess their completeness in answering the original query
-2. Determine if the findings are sufficiently complete to end the research loop
-3. If not, identify up to 3 knowledge gaps that need to be addressed in sequence in order to continue with research - these should be relevant to the original query
-
-Be specific in the gaps you identify and include relevant information as this will be passed onto another agent to process without additional context.
-
-Only output JSON. Follow the JSON schema for KnowledgeGapOutput. Do not output anything else.
-"""
-
-
-class KnowledgeGapAgent:
-    """
-    Agent that evaluates research state and identifies knowledge gaps.
-
-    Uses Pydantic AI to generate structured KnowledgeGapOutput indicating
-    whether research is complete and what gaps remain.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the knowledge gap agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent
-        self.agent = Agent(
-            model=self.model,
-            output_type=KnowledgeGapOutput,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def evaluate(
-        self,
-        query: str,
-        background_context: str = "",
-        conversation_history: str = "",
-        message_history: list[ModelMessage] | None = None,
-        iteration: int = 0,
-        time_elapsed_minutes: float = 0.0,
-        max_time_minutes: int = 10,
-    ) -> KnowledgeGapOutput:
-        """
-        Evaluate research state and identify knowledge gaps.
-
-        Args:
-            query: The original research query
-            background_context: Optional background context
-            conversation_history: History of actions, findings, and thoughts (backward compat)
-            message_history: Optional user conversation history (Pydantic AI format)
-            iteration: Current iteration number
-            time_elapsed_minutes: Time elapsed so far
-            max_time_minutes: Maximum time allowed
-
-        Returns:
-            KnowledgeGapOutput with research completeness and outstanding gaps
-
-        Raises:
-            JudgeError: If evaluation fails after retries
-        """
-        self.logger.info(
-            "Evaluating knowledge gaps",
-            query=query[:100],
-            iteration=iteration,
-        )
-
-        background = f"BACKGROUND CONTEXT:\n{background_context}" if background_context else ""
-
-        user_message = f"""
-Current Iteration Number: {iteration}
-Time Elapsed: {time_elapsed_minutes:.2f} minutes of maximum {max_time_minutes} minutes
-
-ORIGINAL QUERY:
-{query}
-
-{background}
-
-HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        try:
-            # Run the agent with message_history if provided
-            if message_history:
-                result = await self.agent.run(user_message, message_history=message_history)
-            else:
-                result = await self.agent.run(user_message)
-            evaluation = result.output
-
-            self.logger.info(
-                "Knowledge gap evaluation complete",
-                research_complete=evaluation.research_complete,
-                gaps_count=len(evaluation.outstanding_gaps),
-            )
-
-            return evaluation
-
-        except Exception as e:
-            self.logger.error("Knowledge gap evaluation failed", error=str(e))
-            # Return fallback: research not complete, suggest continuing
-            return KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=[f"Continue research on: {query}"],
-            )
-
-
-def create_knowledge_gap_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> KnowledgeGapAgent:
-    """
-    Factory function to create a knowledge gap agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured KnowledgeGapAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return KnowledgeGapAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create knowledge gap agent", error=str(e))
-        raise ConfigurationError(f"Failed to create knowledge gap agent: {e}") from e
diff --git a/src/agents/long_writer.py b/src/agents/long_writer.py
deleted file mode 100644
index 5b0553aae60d4daf89f7c6879d024a44a1ea1a42..0000000000000000000000000000000000000000
--- a/src/agents/long_writer.py
+++ /dev/null
@@ -1,466 +0,0 @@
-"""Long writer agent for iteratively writing report sections.
-
-Converts the folder/long_writer_agent.py implementation to use Pydantic AI.
-"""
-
-import re
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic import BaseModel, Field
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import ReportDraft
-
-logger = structlog.get_logger()
-
-
-# LongWriterOutput model for structured output
-class LongWriterOutput(BaseModel):
-    """Output from the long writer agent for a single section."""
-
-    next_section_markdown: str = Field(
-        description="The final draft of the next section in markdown format"
-    )
-    references: list[str] = Field(
-        description="A list of URLs and their corresponding reference numbers for the section"
-    )
-
-    model_config = {"frozen": True}
-
-
-# System prompt for the long writer agent
-SYSTEM_PROMPT = f"""
-You are an expert report writer tasked with iteratively writing each section of a report. 
-Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-You will be provided with:
-1. The original research query
-2. A final draft of the report containing the table of contents and all sections written up until this point (in the first iteration there will be no sections written yet)
-3. A first draft of the next section of the report to be written
-
-OBJECTIVE:
-1. Write a final draft of the next section of the report with numbered citations in square brackets in the body of the report
-2. Produce a list of references to be appended to the end of the report
-
-CITATIONS/REFERENCES:
-The citations should be in numerical order, written in numbered square brackets in the body of the report.
-Separately, a list of all URLs and their corresponding reference numbers will be included at the end of the report.
-Follow the example below for formatting.
-
-LongWriterOutput(
-    next_section_markdown="The company specializes in IT consulting [1]. It operates in the software services market which is expected to grow at 10% per year [2].",
-    references=["[1] https://example.com/first-source-url", "[2] https://example.com/second-source-url"]
-)
-
-GUIDELINES:
-- You can reformat and reorganize the flow of the content and headings within a section to flow logically, but DO NOT remove details that were included in the first draft
-- Only remove text from the first draft if it is already mentioned earlier in the report, or if it should be covered in a later section per the table of contents
-- Ensure the heading for the section matches the table of contents
-- Format the final output and references section as markdown
-- Do not include a title for the reference section, just a list of numbered references
-
-Only output JSON. Follow the JSON schema for LongWriterOutput. Do not output anything else.
-"""
-
-
-class LongWriterAgent:
-    """
-    Agent that iteratively writes report sections with proper citations.
-
-    Uses Pydantic AI to generate structured LongWriterOutput for each section.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the long writer agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent
-        self.agent = Agent(
-            model=self.model,
-            output_type=LongWriterOutput,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def write_next_section(
-        self,
-        original_query: str,
-        report_draft: str,
-        next_section_title: str,
-        next_section_draft: str,
-    ) -> LongWriterOutput:
-        """
-        Write the next section of the report.
-
-        Args:
-            original_query: The original research query
-            report_draft: Current report draft (all sections written so far)
-            next_section_title: Title of the section to write
-            next_section_draft: Draft content for the next section
-
-        Returns:
-            LongWriterOutput with formatted section and references
-
-        Raises:
-            ConfigurationError: If writing fails
-        """
-        # Input validation
-        if not original_query or not original_query.strip():
-            self.logger.warning("Empty query provided, using default")
-            original_query = "Research query"
-
-        if not next_section_title or not next_section_title.strip():
-            self.logger.warning("Empty section title provided, using default")
-            next_section_title = "Section"
-
-        if next_section_draft is None:
-            next_section_draft = ""
-
-        if report_draft is None:
-            report_draft = ""
-
-        # Truncate very long inputs
-        max_draft_length = 30000
-        if len(report_draft) > max_draft_length:
-            self.logger.warning(
-                "Report draft too long, truncating",
-                original_length=len(report_draft),
-            )
-            report_draft = report_draft[:max_draft_length] + "\n\n[Content truncated]"
-
-        if len(next_section_draft) > max_draft_length:
-            self.logger.warning(
-                "Section draft too long, truncating",
-                original_length=len(next_section_draft),
-            )
-            next_section_draft = next_section_draft[:max_draft_length] + "\n\n[Content truncated]"
-
-        self.logger.info(
-            "Writing next section",
-            section_title=next_section_title,
-            query=original_query[:100],
-        )
-
-        user_message = f"""
-<ORIGINAL QUERY>
-{original_query}
-</ORIGINAL QUERY>
-
-<CURRENT REPORT DRAFT>
-{report_draft or "No draft yet"}
-</CURRENT REPORT DRAFT>
-
-<TITLE OF NEXT SECTION TO WRITE>
-{next_section_title}
-</TITLE OF NEXT SECTION TO WRITE>
-
-<DRAFT OF NEXT SECTION>
-{next_section_draft}
-</DRAFT OF NEXT SECTION>
-"""
-
-        # Retry logic for transient failures
-        max_retries = 3
-        last_exception: Exception | None = None
-
-        for attempt in range(max_retries):
-            try:
-                # Run the agent
-                result = await self.agent.run(user_message)
-                output = result.output
-
-                # Validate output
-                if not output or not isinstance(output, LongWriterOutput):
-                    raise ValueError("Invalid output format")
-
-                if not output.next_section_markdown or not output.next_section_markdown.strip():
-                    self.logger.warning("Empty section generated, using fallback")
-                    raise ValueError("Empty section generated")
-
-                self.logger.info(
-                    "Section written",
-                    section_title=next_section_title,
-                    references_count=len(output.references),
-                    attempt=attempt + 1,
-                )
-
-                return output
-
-            except (TimeoutError, ConnectionError) as e:
-                # Transient errors - retry
-                last_exception = e
-                if attempt < max_retries - 1:
-                    self.logger.warning(
-                        "Transient error, retrying",
-                        error=str(e),
-                        attempt=attempt + 1,
-                        max_retries=max_retries,
-                    )
-                    continue
-                else:
-                    self.logger.error("Max retries exceeded for transient error", error=str(e))
-                    break
-
-            except Exception as e:
-                # Non-transient errors - don't retry
-                last_exception = e
-                self.logger.error(
-                    "Section writing failed",
-                    error=str(e),
-                    error_type=type(e).__name__,
-                )
-                break
-
-        # Return fallback section if all attempts failed
-        self.logger.error(
-            "Section writing failed after all attempts",
-            error=str(last_exception) if last_exception else "Unknown error",
-        )
-
-        # Try to enhance fallback with evidence if available
-        try:
-            from src.middleware.state_machine import get_workflow_state
-
-            state = get_workflow_state()
-            if state and state.evidence:
-                # Include evidence citations in fallback
-                evidence_refs: list[str] = []
-                for i, ev in enumerate(state.evidence[:10], 1):  # Limit to 10
-                    authors = (
-                        ", ".join(ev.citation.authors[:2]) if ev.citation.authors else "Unknown"
-                    )
-                    evidence_refs.append(
-                        f"[{i}] {authors}. *{ev.citation.title}*. {ev.citation.url}"
-                    )
-
-                enhanced_draft = f"## {next_section_title}\n\n{next_section_draft}"
-                if evidence_refs:
-                    enhanced_draft += "\n\n### Sources\n\n" + "\n".join(evidence_refs)
-
-                return LongWriterOutput(
-                    next_section_markdown=enhanced_draft,
-                    references=evidence_refs,
-                )
-        except Exception as e:
-            self.logger.warning(
-                "Failed to enhance fallback with evidence",
-                error=str(e),
-            )
-
-        # Basic fallback
-        return LongWriterOutput(
-            next_section_markdown=f"## {next_section_title}\n\n{next_section_draft}",
-            references=[],
-        )
-
-    async def write_report(
-        self,
-        original_query: str,
-        report_title: str,
-        report_draft: ReportDraft,
-    ) -> str:
-        """
-        Write the final report by iteratively writing each section.
-
-        Args:
-            original_query: The original research query
-            report_title: Title of the report
-            report_draft: ReportDraft with all sections
-
-        Returns:
-            Complete markdown report string
-
-        Raises:
-            ConfigurationError: If writing fails
-        """
-        # Input validation
-        if not original_query or not original_query.strip():
-            self.logger.warning("Empty query provided, using default")
-            original_query = "Research query"
-
-        if not report_title or not report_title.strip():
-            self.logger.warning("Empty report title provided, using default")
-            report_title = "Research Report"
-
-        if not report_draft or not report_draft.sections:
-            self.logger.warning("Empty report draft provided, returning minimal report")
-            return f"# {report_title}\n\n## Query\n{original_query}\n\n*No sections available.*"
-
-        self.logger.info(
-            "Writing full report",
-            report_title=report_title,
-            sections_count=len(report_draft.sections),
-        )
-
-        # Initialize the final draft with title and table of contents
-        final_draft = (
-            f"# {report_title}\n\n## Table of Contents\n\n"
-            + "\n".join(
-                [
-                    f"{i + 1}. {section.section_title}"
-                    for i, section in enumerate(report_draft.sections)
-                ]
-            )
-            + "\n\n"
-        )
-        all_references: list[str] = []
-
-        for section in report_draft.sections:
-            # Write each section
-            next_section_output = await self.write_next_section(
-                original_query,
-                final_draft,
-                section.section_title,
-                section.section_content,
-            )
-
-            # Reformat references and update section markdown
-            section_markdown, all_references = self._reformat_references(
-                next_section_output.next_section_markdown,
-                next_section_output.references,
-                all_references,
-            )
-
-            # Reformat section headings
-            section_markdown = self._reformat_section_headings(section_markdown)
-
-            # Add to final draft
-            final_draft += section_markdown + "\n\n"
-
-        # Add final references
-        final_draft += "## References:\n\n" + "  \n".join(all_references)
-
-        self.logger.info("Full report written", length=len(final_draft))
-
-        return final_draft
-
-    def _reformat_references(
-        self,
-        section_markdown: str,
-        section_references: list[str],
-        all_references: list[str],
-    ) -> tuple[str, list[str]]:
-        """
-        Reformat references: re-number, de-duplicate, and update markdown.
-
-        Args:
-            section_markdown: Markdown content with inline references [1], [2]
-            section_references: List of references for this section
-            all_references: Accumulated references from previous sections
-
-        Returns:
-            Tuple of (updated markdown, updated all_references)
-        """
-
-        # Convert reference lists to maps (URL -> ref_num)
-        def convert_ref_list_to_map(ref_list: list[str]) -> dict[str, int]:
-            ref_map: dict[str, int] = {}
-            for ref in ref_list:
-                try:
-                    # Parse "[1] https://example.com" format
-                    parts = ref.split("]", 1)
-                    if len(parts) == 2:
-                        ref_num = int(parts[0].strip("["))
-                        url = parts[1].strip()
-                        ref_map[url] = ref_num
-                except (ValueError, IndexError):
-                    logger.warning("Invalid reference format", ref=ref)
-                    continue
-            return ref_map
-
-        section_ref_map = convert_ref_list_to_map(section_references)
-        report_ref_map = convert_ref_list_to_map(all_references)
-        section_to_report_ref_map: dict[int, int] = {}
-
-        report_urls = set(report_ref_map.keys())
-        ref_count = max(report_ref_map.values() or [0])
-
-        # Map section references to report references
-        for url, section_ref_num in section_ref_map.items():
-            if url in report_urls:
-                # URL already exists - reuse its reference number
-                section_to_report_ref_map[section_ref_num] = report_ref_map[url]
-            else:
-                # New URL - assign next reference number
-                ref_count += 1
-                section_to_report_ref_map[section_ref_num] = ref_count
-                all_references.append(f"[{ref_count}] {url}")
-
-        # Replace reference numbers in markdown
-        def replace_reference(match: re.Match[str]) -> str:
-            ref_num = int(match.group(1))
-            mapped_ref_num = section_to_report_ref_map.get(ref_num)
-            if mapped_ref_num:
-                return f"[{mapped_ref_num}]"
-            return ""
-
-        updated_markdown = re.sub(r"\[(\d+)\]", replace_reference, section_markdown)
-
-        return updated_markdown, all_references
-
-    def _reformat_section_headings(self, section_markdown: str) -> str:
-        """
-        Reformat section headings to be consistent (level-2 for main heading).
-
-        Args:
-            section_markdown: Markdown content with headings
-
-        Returns:
-            Updated markdown with adjusted heading levels
-        """
-        if not section_markdown.strip():
-            return section_markdown
-
-        # Find first heading level
-        first_heading_match = re.search(r"^(#+)\s", section_markdown, re.MULTILINE)
-        if not first_heading_match:
-            return section_markdown
-
-        # Calculate level adjustment needed (target is level 2)
-        first_heading_level = len(first_heading_match.group(1))
-        level_adjustment = 2 - first_heading_level
-
-        def adjust_heading_level(match: re.Match[str]) -> str:
-            hashes = match.group(1)
-            content = match.group(2)
-            new_level = max(2, len(hashes) + level_adjustment)
-            return "#" * new_level + " " + content
-
-        # Apply heading adjustment
-        return re.sub(r"^(#+)\s(.+)$", adjust_heading_level, section_markdown, flags=re.MULTILINE)
-
-
-def create_long_writer_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> LongWriterAgent:
-    """
-    Factory function to create a long writer agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured LongWriterAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return LongWriterAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create long writer agent", error=str(e))
-        raise ConfigurationError(f"Failed to create long writer agent: {e}") from e
diff --git a/src/agents/magentic_agents.py b/src/agents/magentic_agents.py
deleted file mode 100644
index 926e84a9b3c4bf00cf36bfa99d643b637ece3d1f..0000000000000000000000000000000000000000
--- a/src/agents/magentic_agents.py
+++ /dev/null
@@ -1,177 +0,0 @@
-"""Magentic-compatible agents using ChatAgent pattern."""
-
-from typing import Any
-
-from agent_framework import ChatAgent
-
-from src.agents.tools import (
-    get_bibliography,
-    search_clinical_trials,
-    search_preprints,
-    search_pubmed,
-)
-from src.utils.llm_factory import get_chat_client_for_agent
-
-
-def create_search_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a search agent with internal LLM and search tools.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for biomedical search
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="SearchAgent",
-        description=(
-            "Searches biomedical databases (PubMed, ClinicalTrials.gov, Europe PMC) "
-            "for research evidence"
-        ),
-        instructions="""You are a biomedical search specialist. When asked to find evidence:
-
-1. Analyze the request to determine what to search for
-2. Extract key search terms (drug names, disease names, mechanisms)
-3. Use the appropriate search tools:
-   - search_pubmed for peer-reviewed papers
-   - search_clinical_trials for clinical studies
-   - search_preprints for cutting-edge findings
-4. Summarize what you found and highlight key evidence
-
-Be thorough - search multiple databases when appropriate.
-Focus on finding: mechanisms of action, clinical evidence, and specific drug candidates.""",
-        chat_client=client,
-        tools=[search_pubmed, search_clinical_trials, search_preprints],
-        temperature=0.3,  # More deterministic for tool use
-    )
-
-
-def create_judge_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a judge agent that evaluates evidence quality.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for evidence assessment
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="JudgeAgent",
-        description="Evaluates evidence quality and determines if sufficient for synthesis",
-        instructions="""You are an evidence quality assessor. When asked to evaluate:
-
-1. Review all evidence presented in the conversation
-2. Score on two dimensions (0-10 each):
-   - Mechanism Score: How well is the biological mechanism explained?
-   - Clinical Score: How strong is the clinical/preclinical evidence?
-3. Determine if evidence is SUFFICIENT for a final report:
-   - Sufficient: Clear mechanism + supporting clinical data
-   - Insufficient: Gaps in mechanism OR weak clinical evidence
-4. If insufficient, suggest specific search queries to fill gaps
-
-Be rigorous but fair. Look for:
-- Molecular targets and pathways
-- Animal model studies
-- Human clinical trials
-- Safety data
-- Drug-drug interactions""",
-        chat_client=client,
-        temperature=0.2,  # Consistent judgments
-    )
-
-
-def create_hypothesis_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a hypothesis generation agent.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for hypothesis generation
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="HypothesisAgent",
-        description="Generates mechanistic hypotheses for research investigation",
-        instructions="""You are a biomedical hypothesis generator. Based on evidence:
-
-1. Identify the key molecular targets involved
-2. Map the biological pathways affected
-3. Generate testable hypotheses in this format:
-
-   DRUG -> TARGET -> PATHWAY -> THERAPEUTIC EFFECT
-
-   Example:
-   Metformin -> AMPK activation -> mTOR inhibition -> Reduced tau phosphorylation
-
-4. Explain the rationale for each hypothesis
-5. Suggest what additional evidence would support or refute it
-
-Focus on mechanistic plausibility and existing evidence.""",
-        chat_client=client,
-        temperature=0.5,  # Some creativity for hypothesis generation
-    )
-
-
-def create_report_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a report synthesis agent.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for report generation
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="ReportAgent",
-        description="Synthesizes research findings into structured reports",
-        instructions="""You are a scientific report writer. When asked to synthesize:
-
-Generate a structured report with these sections:
-
-## Executive Summary
-Brief overview of findings and recommendation
-
-## Methodology
-Databases searched, queries used, evidence reviewed
-
-## Key Findings
-### Mechanism of Action
-- Molecular targets
-- Biological pathways
-- Proposed mechanism
-
-### Clinical Evidence
-- Preclinical studies
-- Clinical trials
-- Safety profile
-
-## Drug Candidates
-List specific drugs with repurposing potential
-
-## Limitations
-Gaps in evidence, conflicting data, caveats
-
-## Conclusion
-Final recommendation with confidence level
-
-## References
-Use the 'get_bibliography' tool to fetch the complete list of citations.
-Format them as a numbered list.
-
-Be comprehensive but concise. Cite evidence for all claims.""",
-        chat_client=client,
-        tools=[get_bibliography],
-        temperature=0.3,
-    )
diff --git a/src/agents/proofreader.py b/src/agents/proofreader.py
deleted file mode 100644
index 7a209c365ea04313dceee645e23ff0dd8b846817..0000000000000000000000000000000000000000
--- a/src/agents/proofreader.py
+++ /dev/null
@@ -1,208 +0,0 @@
-"""Proofreader agent for finalizing report drafts.
-
-Converts the folder/proofreader_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import ReportDraft
-
-logger = structlog.get_logger()
-
-
-# System prompt for the proofreader agent
-SYSTEM_PROMPT = f"""
-You are a research expert who proofreads and edits research reports.
-Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-
-You are given:
-1. The original query topic for the report
-2. A first draft of the report in ReportDraft format containing each section in sequence
-
-Your task is to:
-1. **Combine sections:** Concatenate the sections into a single string
-2. **Add section titles:** Add the section titles to the beginning of each section in markdown format, as well as a main title for the report
-3. **De-duplicate:** Remove duplicate content across sections to avoid repetition
-4. **Remove irrelevant sections:** If any sections or sub-sections are completely irrelevant to the query, remove them
-5. **Refine wording:** Edit the wording of the report to be polished, concise and punchy, but **without eliminating any detail** or large chunks of text
-6. **Add a summary:** Add a short report summary / outline to the beginning of the report to provide an overview of the sections and what is discussed
-7. **Preserve sources:** Preserve all sources / references - move the long list of references to the end of the report
-8. **Update reference numbers:** Continue to include reference numbers in square brackets  ([1], [2], [3], etc.) in the main body of the report, but update the numbering to match the new order of references at the end of the report
-9. **Output final report:** Output the final report in markdown format (do not wrap it in a code block)
-
-Guidelines:
-- Do not add any new facts or data to the report
-- Do not remove any content from the report unless it is very clearly wrong, contradictory or irrelevant
-- Remove or reformat any redundant or excessive headings, and ensure that the final nesting of heading levels is correct
-- Ensure that the final report flows well and has a logical structure
-- Include all sources and references that are present in the final report
-"""
-
-
-class ProofreaderAgent:
-    """
-    Agent that proofreads and finalizes report drafts.
-
-    Uses Pydantic AI to generate polished markdown reports from draft sections.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the proofreader agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent (no structured output - returns markdown text)
-        self.agent = Agent(
-            model=self.model,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def proofread(
-        self,
-        query: str,
-        report_draft: ReportDraft,
-    ) -> str:
-        """
-        Proofread and finalize a report draft.
-
-        Args:
-            query: The original research query
-            report_draft: ReportDraft with all sections
-
-        Returns:
-            Final polished markdown report string
-
-        Raises:
-            ConfigurationError: If proofreading fails
-        """
-        # Input validation
-        if not query or not query.strip():
-            self.logger.warning("Empty query provided, using default")
-            query = "Research query"
-
-        if not report_draft or not report_draft.sections:
-            self.logger.warning("Empty report draft provided, returning minimal report")
-            return f"# Research Report\n\n## Query\n{query}\n\n*No sections available.*"
-
-        # Validate section structure
-        valid_sections = []
-        for section in report_draft.sections:
-            if section.section_title and section.section_title.strip():
-                valid_sections.append(section)
-            else:
-                self.logger.warning("Skipping section with empty title")
-
-        if not valid_sections:
-            self.logger.warning("No valid sections in draft, returning minimal report")
-            return f"# Research Report\n\n## Query\n{query}\n\n*No valid sections available.*"
-
-        self.logger.info(
-            "Proofreading report",
-            query=query[:100],
-            sections_count=len(valid_sections),
-        )
-
-        # Create validated draft
-        validated_draft = ReportDraft(sections=valid_sections)
-
-        user_message = f"""
-QUERY:
-{query}
-
-REPORT DRAFT:
-{validated_draft.model_dump_json()}
-"""
-
-        # Retry logic for transient failures
-        max_retries = 3
-        last_exception: Exception | None = None
-
-        for attempt in range(max_retries):
-            try:
-                # Run the agent
-                result = await self.agent.run(user_message)
-                final_report = result.output
-
-                # Validate output
-                if not final_report or not final_report.strip():
-                    self.logger.warning("Empty report generated, using fallback")
-                    raise ValueError("Empty report generated")
-
-                self.logger.info("Report proofread", length=len(final_report), attempt=attempt + 1)
-
-                return final_report
-
-            except (TimeoutError, ConnectionError) as e:
-                # Transient errors - retry
-                last_exception = e
-                if attempt < max_retries - 1:
-                    self.logger.warning(
-                        "Transient error, retrying",
-                        error=str(e),
-                        attempt=attempt + 1,
-                        max_retries=max_retries,
-                    )
-                    continue
-                else:
-                    self.logger.error("Max retries exceeded for transient error", error=str(e))
-                    break
-
-            except Exception as e:
-                # Non-transient errors - don't retry
-                last_exception = e
-                self.logger.error(
-                    "Proofreading failed",
-                    error=str(e),
-                    error_type=type(e).__name__,
-                )
-                break
-
-        # Return fallback: combine sections manually
-        self.logger.error(
-            "Proofreading failed after all attempts",
-            error=str(last_exception) if last_exception else "Unknown error",
-        )
-        sections = [
-            f"## {section.section_title}\n\n{section.section_content or 'Content unavailable.'}"
-            for section in valid_sections
-        ]
-        return f"# Research Report\n\n## Query\n{query}\n\n" + "\n\n".join(sections)
-
-
-def create_proofreader_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> ProofreaderAgent:
-    """
-    Factory function to create a proofreader agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ProofreaderAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return ProofreaderAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create proofreader agent", error=str(e))
-        raise ConfigurationError(f"Failed to create proofreader agent: {e}") from e
diff --git a/src/agents/report_agent.py b/src/agents/report_agent.py
deleted file mode 100644
index 5454fed54f67356dca0674985c6c90a7f34517c6..0000000000000000000000000000000000000000
--- a/src/agents/report_agent.py
+++ /dev/null
@@ -1,140 +0,0 @@
-"""Report agent for generating structured research reports."""
-
-from collections.abc import AsyncIterable
-from typing import TYPE_CHECKING, Any
-
-from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
-    AgentThread,
-    BaseAgent,
-    ChatMessage,
-    Role,
-)
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.prompts.report import SYSTEM_PROMPT, format_report_prompt
-from src.utils.citation_validator import validate_references
-from src.utils.models import Evidence, ResearchReport
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-
-class ReportAgent(BaseAgent):  # type: ignore[misc]
-    """Generates structured scientific reports from evidence and hypotheses."""
-
-    def __init__(
-        self,
-        evidence_store: dict[str, Any],
-        embedding_service: "EmbeddingService | None" = None,  # For diverse selection
-    ) -> None:
-        super().__init__(
-            name="ReportAgent",
-            description="Generates structured scientific research reports with citations",
-        )
-        self._evidence_store = evidence_store
-        self._embeddings = embedding_service
-        self._agent: Agent[None, ResearchReport] | None = None  # Lazy init
-
-    def _get_agent(self) -> Agent[None, ResearchReport]:
-        """Lazy initialization of LLM agent to avoid requiring API keys at import."""
-        if self._agent is None:
-            self._agent = Agent(
-                model=get_model(),
-                output_type=ResearchReport,
-                system_prompt=SYSTEM_PROMPT,
-            )
-        return self._agent
-
-    async def run(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AgentRunResponse:
-        """Generate research report."""
-        query = self._extract_query(messages)
-
-        # Gather all context
-        evidence: list[Evidence] = self._evidence_store.get("current", [])
-        hypotheses = self._evidence_store.get("hypotheses", [])
-        assessment = self._evidence_store.get("last_assessment", {})
-
-        if not evidence:
-            return AgentRunResponse(
-                messages=[
-                    ChatMessage(
-                        role=Role.ASSISTANT,
-                        text="Cannot generate report: No evidence collected.",
-                    )
-                ],
-                response_id="report-no-evidence",
-            )
-
-        # Build metadata
-        metadata = {
-            "sources": list(set(e.citation.source for e in evidence)),
-            "iterations": self._evidence_store.get("iteration_count", 0),
-        }
-
-        # Generate report (format_report_prompt is now async)
-        prompt = await format_report_prompt(
-            query=query,
-            evidence=evidence,
-            hypotheses=hypotheses,
-            assessment=assessment,
-            metadata=metadata,
-            embeddings=self._embeddings,
-        )
-
-        result = await self._get_agent().run(prompt)
-        report = result.output
-
-        # ═══════════════════════════════════════════════════════════════════
-        # 🚨 CRITICAL: Validate citations to prevent hallucination
-        # ═══════════════════════════════════════════════════════════════════
-        report = validate_references(report, evidence)
-
-        # Store validated report
-        self._evidence_store["final_report"] = report
-
-        # Return markdown version
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=report.to_markdown())],
-            response_id="report-complete",
-            additional_properties={"report": report.model_dump()},
-        )
-
-    def _extract_query(
-        self, messages: str | ChatMessage | list[str] | list[ChatMessage] | None
-    ) -> str:
-        """Extract query from messages."""
-        if isinstance(messages, str):
-            return messages
-        elif isinstance(messages, ChatMessage):
-            return messages.text or ""
-        elif isinstance(messages, list):
-            for msg in reversed(messages):
-                if isinstance(msg, ChatMessage) and msg.role == Role.USER:
-                    return msg.text or ""
-                elif isinstance(msg, str):
-                    return msg
-        return ""
-
-    async def run_stream(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
-        """Streaming wrapper."""
-        result = await self.run(messages, thread=thread, **kwargs)
-        yield AgentRunResponseUpdate(
-            messages=result.messages,
-            response_id=result.response_id,
-            additional_properties=result.additional_properties,
-        )
diff --git a/src/agents/retrieval_agent.py b/src/agents/retrieval_agent.py
deleted file mode 100644
index 63a3a6bff9c86342e8f932a97cad51e8b9c5f58b..0000000000000000000000000000000000000000
--- a/src/agents/retrieval_agent.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""Retrieval agent for web search and context management."""
-
-from typing import Any
-
-import structlog
-from agent_framework import ChatAgent, ai_function
-
-from src.agents.state import get_magentic_state
-from src.tools.web_search import WebSearchTool
-from src.utils.llm_factory import get_chat_client_for_agent
-
-logger = structlog.get_logger()
-
-_web_search = WebSearchTool()
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def search_web(query: str, max_results: int = 10) -> str:
-    """Search the web using DuckDuckGo.
-
-    Args:
-        query: Search keywords.
-        max_results: Maximum results to return (default 10).
-
-    Returns:
-        Formatted search results.
-    """
-    logger.info("Web search starting", query=query, max_results=max_results)
-    state = get_magentic_state()
-
-    evidence = await _web_search.search(query, max_results)
-    if not evidence:
-        logger.info("Web search returned no results", query=query)
-        return f"No web results found for: {query}"
-
-    # Update state
-    # We add *all* found results to state
-    new_count = state.add_evidence(evidence)
-    logger.info(
-        "Web search complete",
-        query=query,
-        results_found=len(evidence),
-        new_evidence=new_count,
-    )
-
-    # Use embedding service for deduplication/indexing if available
-    if state.embedding_service:
-        # This method also adds to vector DB as a side effect for unique items
-        await state.embedding_service.deduplicate(evidence)
-
-    output = [f"Found {len(evidence)} web results ({new_count} new stored):\n"]
-    for i, r in enumerate(evidence[:max_results], 1):
-        output.append(f"{i}. **{r.citation.title}**")
-        output.append(f"   Source: {r.citation.url}")
-        output.append(f"   {r.content[:300]}...\n")
-
-    return "\n".join(output)
-
-
-def create_retrieval_agent(chat_client: Any | None = None) -> ChatAgent:
-    """Create a retrieval agent.
-
-    Args:
-        chat_client: Optional custom chat client. If None, uses factory default
-                    (HuggingFace preferred, OpenAI fallback).
-
-    Returns:
-        ChatAgent configured for retrieval.
-    """
-    client = chat_client or get_chat_client_for_agent()
-
-    return ChatAgent(
-        name="RetrievalAgent",
-        description="Searches the web and manages context/evidence.",
-        instructions="""You are a retrieval specialist.
-Use `search_web` to find information on the internet.
-Your goal is to gather relevant evidence for the research task.
-Always summarize what you found.""",
-        chat_client=client,
-        tools=[search_web],
-    )
diff --git a/src/agents/search_agent.py b/src/agents/search_agent.py
deleted file mode 100644
index 9c28242458109bebc7824d122b54f9b4b1d1ea0a..0000000000000000000000000000000000000000
--- a/src/agents/search_agent.py
+++ /dev/null
@@ -1,154 +0,0 @@
-from collections.abc import AsyncIterable
-from typing import TYPE_CHECKING, Any
-
-from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
-    AgentThread,
-    BaseAgent,
-    ChatMessage,
-    Role,
-)
-
-from src.legacy_orchestrator import SearchHandlerProtocol
-from src.utils.models import Citation, Evidence, SearchResult
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-
-class SearchAgent(BaseAgent):  # type: ignore[misc]
-    """Wraps SearchHandler as an AgentProtocol for Magentic."""
-
-    def __init__(
-        self,
-        search_handler: SearchHandlerProtocol,
-        evidence_store: dict[str, list[Evidence]],
-        embedding_service: "EmbeddingService | None" = None,
-    ) -> None:
-        super().__init__(
-            name="SearchAgent",
-            description="Searches PubMed for biomedical research evidence",
-        )
-        self._handler = search_handler
-        self._evidence_store = evidence_store
-        self._embeddings = embedding_service
-
-    async def run(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AgentRunResponse:
-        """Execute search based on the last user message."""
-        # Extract query from messages
-        query = ""
-        if isinstance(messages, list):
-            for msg in reversed(messages):
-                if isinstance(msg, ChatMessage) and msg.role == Role.USER and msg.text:
-                    query = msg.text
-                    break
-                elif isinstance(msg, str):
-                    query = msg
-                    break
-        elif isinstance(messages, str):
-            query = messages
-        elif isinstance(messages, ChatMessage) and messages.text:
-            query = messages.text
-
-        if not query:
-            return AgentRunResponse(
-                messages=[ChatMessage(role=Role.ASSISTANT, text="No query provided")],
-                response_id="search-no-query",
-            )
-
-        # Execute search
-        result: SearchResult = await self._handler.execute(query, max_results_per_tool=10)
-
-        # Track what to show in response (initialized to search results as default)
-        evidence_to_show: list[Evidence] = result.evidence
-        total_new = 0
-
-        # Update shared evidence store
-        if self._embeddings:
-            # Deduplicate by semantic similarity (async-safe)
-            unique_evidence = await self._embeddings.deduplicate(result.evidence)
-
-            # Also search for semantically related evidence (async-safe)
-            related = await self._embeddings.search_similar(query, n_results=5)
-
-            # Merge related evidence not already in results
-            existing_urls = {e.citation.url for e in unique_evidence}
-
-            # Reconstruct Evidence objects from stored vector DB data
-            related_evidence: list[Evidence] = []
-            for item in related:
-                if item["id"] not in existing_urls:
-                    meta = item.get("metadata", {})
-                    # Parse authors (stored as comma-separated string)
-                    authors_str = meta.get("authors", "")
-                    authors = [a.strip() for a in authors_str.split(",") if a.strip()]
-
-                    ev = Evidence(
-                        content=item["content"],
-                        citation=Citation(
-                            title=meta.get("title", "Related Evidence"),
-                            url=item["id"],
-                            source="pubmed",
-                            date=meta.get("date", "n.d."),
-                            authors=authors,
-                        ),
-                        # Convert distance to relevance (lower distance = higher relevance)
-                        relevance=max(0.0, 1.0 - item.get("distance", 0.5)),
-                    )
-                    related_evidence.append(ev)
-
-            # Combine unique from search + related from vector DB
-            final_new_evidence = unique_evidence + related_evidence
-
-            # Add to global store (deduping against global store)
-            global_urls = {e.citation.url for e in self._evidence_store["current"]}
-            really_new = [e for e in final_new_evidence if e.citation.url not in global_urls]
-            self._evidence_store["current"].extend(really_new)
-
-            total_new = len(really_new)
-            evidence_to_show = unique_evidence + related_evidence
-
-        else:
-            # Fallback to URL-based deduplication (no embeddings)
-            existing_urls = {e.citation.url for e in self._evidence_store["current"]}
-            new_unique = [e for e in result.evidence if e.citation.url not in existing_urls]
-            self._evidence_store["current"].extend(new_unique)
-            total_new = len(new_unique)
-            evidence_to_show = result.evidence
-
-        evidence_text = "\n".join(
-            [
-                f"- [{e.citation.title}]({e.citation.url}): {e.content[:200]}..."
-                for e in evidence_to_show[:5]
-            ]
-        )
-
-        response_text = (
-            f"Found {result.total_found} sources ({total_new} new added to context):\n\n"
-            f"{evidence_text}"
-        )
-
-        return AgentRunResponse(
-            messages=[ChatMessage(role=Role.ASSISTANT, text=response_text)],
-            response_id=f"search-{result.total_found}",
-            additional_properties={"evidence": [e.model_dump() for e in evidence_to_show]},
-        )
-
-    async def run_stream(
-        self,
-        messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
-        *,
-        thread: AgentThread | None = None,
-        **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
-        """Streaming wrapper for search (search itself isn't streaming)."""
-        result = await self.run(messages, thread=thread, **kwargs)
-        # Yield single update with full result
-        yield AgentRunResponseUpdate(messages=result.messages, response_id=result.response_id)
diff --git a/src/agents/state.py b/src/agents/state.py
deleted file mode 100644
index 8bab5f7b9563b5c263c376780c2856c8a058c2f0..0000000000000000000000000000000000000000
--- a/src/agents/state.py
+++ /dev/null
@@ -1,112 +0,0 @@
-"""Thread-safe state management for Magentic agents.
-
-DEPRECATED: This module is deprecated. Use src.middleware.state_machine instead.
-
-This file is kept for backward compatibility and will be removed in a future version.
-"""
-
-import warnings
-from contextvars import ContextVar
-from typing import TYPE_CHECKING, Any
-
-from pydantic import BaseModel, Field
-
-from src.utils.models import Citation, Evidence
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-
-def _deprecation_warning() -> None:
-    """Emit deprecation warning for this module."""
-    warnings.warn(
-        "src.agents.state is deprecated. Use src.middleware.state_machine instead.",
-        DeprecationWarning,
-        stacklevel=3,
-    )
-
-
-class MagenticState(BaseModel):
-    """Mutable state for a Magentic workflow session.
-
-    DEPRECATED: Use WorkflowState from src.middleware.state_machine instead.
-    """
-
-    evidence: list[Evidence] = Field(default_factory=list)
-    # Type as Any to avoid circular imports/runtime resolution issues
-    # The actual object injected will be an EmbeddingService instance
-    embedding_service: Any = None
-
-    model_config = {"arbitrary_types_allowed": True}
-
-    def add_evidence(self, new_evidence: list[Evidence]) -> int:
-        """Add new evidence, deduplicating by URL.
-
-        Returns:
-            Number of *new* items added.
-        """
-        existing_urls = {e.citation.url for e in self.evidence}
-        count = 0
-        for item in new_evidence:
-            if item.citation.url not in existing_urls:
-                self.evidence.append(item)
-                existing_urls.add(item.citation.url)
-                count += 1
-        return count
-
-    async def search_related(self, query: str, n_results: int = 5) -> list[Evidence]:
-        """Search for semantically related evidence using the embedding service."""
-        if not self.embedding_service:
-            return []
-
-        results = await self.embedding_service.search_similar(query, n_results=n_results)
-
-        # Convert dict results back to Evidence objects
-        evidence_list = []
-        for item in results:
-            meta = item.get("metadata", {})
-            authors_str = meta.get("authors", "")
-            authors = [a.strip() for a in authors_str.split(",") if a.strip()]
-
-            ev = Evidence(
-                content=item["content"],
-                citation=Citation(
-                    title=meta.get("title", "Related Evidence"),
-                    url=item["id"],
-                    source="pubmed",  # Defaulting to pubmed if unknown
-                    date=meta.get("date", "n.d."),
-                    authors=authors,
-                ),
-                relevance=max(0.0, 1.0 - item.get("distance", 0.5)),
-            )
-            evidence_list.append(ev)
-
-        return evidence_list
-
-
-# The ContextVar holds the MagenticState for the current execution context
-_magentic_state_var: ContextVar[MagenticState | None] = ContextVar("magentic_state", default=None)
-
-
-def init_magentic_state(embedding_service: "EmbeddingService | None" = None) -> MagenticState:
-    """Initialize a new state for the current context.
-
-    DEPRECATED: Use init_workflow_state from src.middleware.state_machine instead.
-    """
-    _deprecation_warning()
-    state = MagenticState(embedding_service=embedding_service)
-    _magentic_state_var.set(state)
-    return state
-
-
-def get_magentic_state() -> MagenticState:
-    """Get the current state. Raises RuntimeError if not initialized.
-
-    DEPRECATED: Use get_workflow_state from src.middleware.state_machine instead.
-    """
-    _deprecation_warning()
-    state = _magentic_state_var.get()
-    if state is None:
-        # Auto-initialize if missing (e.g. during tests or simple scripts)
-        return init_magentic_state()
-    return state
diff --git a/src/agents/thinking.py b/src/agents/thinking.py
deleted file mode 100644
index eff08e5111e7700ea2d4940d730ee1dfd3225324..0000000000000000000000000000000000000000
--- a/src/agents/thinking.py
+++ /dev/null
@@ -1,161 +0,0 @@
-"""Thinking agent for generating observations and reflections.
-
-Converts the folder/thinking_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-
-# System prompt for the thinking agent
-SYSTEM_PROMPT = f"""
-You are a research expert who is managing a research process in iterations. Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-
-You are given:
-1. The original research query along with some supporting background context
-2. A history of the tasks, actions, findings and thoughts you've made up until this point in the research process (on iteration 1 you will be at the start of the research process, so this will be empty)
-
-Your objective is to reflect on the research process so far and share your latest thoughts.
-
-Specifically, your thoughts should include reflections on questions such as:
-- What have you learned from the last iteration?
-- What new areas would you like to explore next, or existing topics you'd like to go deeper into?
-- Were you able to retrieve the information you were looking for in the last iteration?
-- If not, should we change our approach or move to the next topic?
-- Is there any info that is contradictory or conflicting?
-
-Guidelines:
-- Share your stream of consciousness on the above questions as raw text
-- Keep your response concise and informal
-- Focus most of your thoughts on the most recent iteration and how that influences this next iteration
-- Our aim is to do very deep and thorough research - bear this in mind when reflecting on the research process
-- DO NOT produce a draft of the final report. This is not your job.
-- If this is the first iteration (i.e. no data from prior iterations), provide thoughts on what info we need to gather in the first iteration to get started
-"""
-
-
-class ThinkingAgent:
-    """
-    Agent that generates observations and reflections on the research process.
-
-    Uses Pydantic AI to generate unstructured text observations about
-    the current state of research and next steps.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the thinking agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent (no structured output - returns text)
-        self.agent = Agent(
-            model=self.model,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def generate_observations(
-        self,
-        query: str,
-        background_context: str = "",
-        conversation_history: str = "",
-        message_history: list[ModelMessage] | None = None,
-        iteration: int = 1,
-    ) -> str:
-        """
-        Generate observations about the research process.
-
-        Args:
-            query: The original research query
-            background_context: Optional background context
-            conversation_history: History of actions, findings, and thoughts (backward compat)
-            message_history: Optional user conversation history (Pydantic AI format)
-            iteration: Current iteration number
-
-        Returns:
-            String containing observations and reflections
-
-        Raises:
-            ConfigurationError: If generation fails
-        """
-        self.logger.info(
-            "Generating observations",
-            query=query[:100],
-            iteration=iteration,
-        )
-
-        background = f"BACKGROUND CONTEXT:\n{background_context}" if background_context else ""
-
-        user_message = f"""
-You are starting iteration {iteration} of your research process.
-
-ORIGINAL QUERY:
-{query}
-
-{background}
-
-HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        try:
-            # Run the agent with message_history if provided
-            if message_history:
-                result = await self.agent.run(user_message, message_history=message_history)
-            else:
-                result = await self.agent.run(user_message)
-            observations = result.output
-
-            self.logger.info("Observations generated", length=len(observations))
-
-            return observations
-
-        except Exception as e:
-            self.logger.error("Observation generation failed", error=str(e))
-            # Return fallback observations
-            return f"Starting iteration {iteration}. Need to gather information about: {query}"
-
-
-def create_thinking_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> ThinkingAgent:
-    """
-    Factory function to create a thinking agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ThinkingAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return ThinkingAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create thinking agent", error=str(e))
-        raise ConfigurationError(f"Failed to create thinking agent: {e}") from e
diff --git a/src/agents/tool_selector.py b/src/agents/tool_selector.py
deleted file mode 100644
index 0da35f43696306bac1093e1722ccc2fc981e598b..0000000000000000000000000000000000000000
--- a/src/agents/tool_selector.py
+++ /dev/null
@@ -1,181 +0,0 @@
-"""Tool selector agent for choosing which tools to use for knowledge gaps.
-
-Converts the folder/tool_selector_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import AgentSelectionPlan
-
-logger = structlog.get_logger()
-
-
-# System prompt for the tool selector agent
-SYSTEM_PROMPT = f"""
-You are a Tool Selector responsible for determining which specialized agents should address a knowledge gap in a research project.
-Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-
-You will be given:
-1. The original user query
-2. A knowledge gap identified in the research
-3. A full history of the tasks, actions, findings and thoughts you've made up until this point in the research process
-
-Your task is to decide:
-1. Which specialized agents are best suited to address the gap
-2. What specific queries should be given to the agents (keep this short - 3-6 words)
-
-Available specialized agents:
-- WebSearchAgent: General web search for broad topics (can be called multiple times with different queries)
-- SiteCrawlerAgent: Crawl the pages of a specific website to retrieve information about it - use this if you want to find out something about a particular company, entity or product
-- RAGAgent: Semantic search within previously collected evidence - use when you need to find information from evidence already gathered in this research session. Best for finding connections, summarizing collected evidence, or retrieving specific details from earlier findings.
-
-Guidelines:
-- Aim to call at most 3 agents at a time in your final output
-- You can list the WebSearchAgent multiple times with different queries if needed to cover the full scope of the knowledge gap
-- Be specific and concise (3-6 words) with the agent queries - they should target exactly what information is needed
-- If you know the website or domain name of an entity being researched, always include it in the query
-- Use RAGAgent when: (1) You need to search within evidence already collected, (2) You want to find connections between different findings, (3) You need to retrieve specific details from earlier research iterations
-- Use WebSearchAgent or SiteCrawlerAgent when: (1) You need fresh information from the web, (2) You're starting a new research direction, (3) You need information not yet in the collected evidence
-- If a gap doesn't clearly match any agent's capability, default to the WebSearchAgent
-- Use the history of actions / tool calls as a guide - try not to repeat yourself if an approach didn't work previously
-
-Only output JSON. Follow the JSON schema for AgentSelectionPlan. Do not output anything else.
-"""
-
-
-class ToolSelectorAgent:
-    """
-    Agent that selects appropriate tools to address knowledge gaps.
-
-    Uses Pydantic AI to generate structured AgentSelectionPlan with
-    specific tasks for web search and crawl agents.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the tool selector agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent
-        self.agent = Agent(
-            model=self.model,
-            output_type=AgentSelectionPlan,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def select_tools(
-        self,
-        gap: str,
-        query: str,
-        background_context: str = "",
-        conversation_history: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> AgentSelectionPlan:
-        """
-        Select tools to address a knowledge gap.
-
-        Args:
-            gap: The knowledge gap to address
-            query: The original research query
-            background_context: Optional background context
-            conversation_history: History of actions, findings, and thoughts (backward compat)
-            message_history: Optional user conversation history (Pydantic AI format)
-
-        Returns:
-            AgentSelectionPlan with tasks for selected agents
-
-        Raises:
-            ConfigurationError: If selection fails
-        """
-        self.logger.info("Selecting tools for gap", gap=gap[:100], query=query[:100])
-
-        background = f"BACKGROUND CONTEXT:\n{background_context}" if background_context else ""
-
-        user_message = f"""
-ORIGINAL QUERY:
-{query}
-
-KNOWLEDGE GAP TO ADDRESS:
-{gap}
-
-{background}
-
-HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        try:
-            # Run the agent with message_history if provided
-            if message_history:
-                result = await self.agent.run(user_message, message_history=message_history)
-            else:
-                result = await self.agent.run(user_message)
-            selection_plan = result.output
-
-            self.logger.info(
-                "Tool selection complete",
-                tasks_count=len(selection_plan.tasks),
-                agents=[task.agent for task in selection_plan.tasks],
-            )
-
-            return selection_plan
-
-        except Exception as e:
-            self.logger.error("Tool selection failed", error=str(e))
-            # Return fallback: use web search
-            from src.utils.models import AgentTask
-
-            return AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap=gap,
-                        agent="WebSearchAgent",
-                        query=gap[:50],  # Use gap as query
-                        entity_website=None,
-                    )
-                ]
-            )
-
-
-def create_tool_selector_agent(
-    model: Any | None = None, oauth_token: str | None = None
-) -> ToolSelectorAgent:
-    """
-    Factory function to create a tool selector agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured ToolSelectorAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return ToolSelectorAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create tool selector agent", error=str(e))
-        raise ConfigurationError(f"Failed to create tool selector agent: {e}") from e
diff --git a/src/agents/tools.py b/src/agents/tools.py
deleted file mode 100644
index 9ce9f908eba4d07e539b971f00dab8a420697956..0000000000000000000000000000000000000000
--- a/src/agents/tools.py
+++ /dev/null
@@ -1,175 +0,0 @@
-"""Tool functions for Magentic agents.
-
-These functions are decorated with @ai_function to be callable by the ChatAgent's internal LLM.
-They also interact with the thread-safe MagenticState to persist evidence.
-"""
-
-from agent_framework import ai_function
-
-from src.agents.state import get_magentic_state
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.tools.europepmc import EuropePMCTool
-from src.tools.pubmed import PubMedTool
-
-# Singleton tool instances (stateless wrappers)
-_pubmed = PubMedTool()
-_clinicaltrials = ClinicalTrialsTool()
-_europepmc = EuropePMCTool()
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def search_pubmed(query: str, max_results: int = 10) -> str:
-    """Search PubMed for biomedical research papers.
-
-    Use this tool to find peer-reviewed scientific literature about
-    drugs, diseases, mechanisms of action, and clinical studies.
-
-    Args:
-        query: Search keywords (e.g., "metformin alzheimer mechanism")
-        max_results: Maximum results to return (default 10)
-
-    Returns:
-        Formatted list of papers with titles, abstracts, and citations
-    """
-    state = get_magentic_state()
-
-    # 1. Execute raw search
-    results = await _pubmed.search(query, max_results)
-    if not results:
-        return f"No PubMed results found for: {query}"
-
-    # 2. Semantic Deduplication & Expansion (The "Digital Twin" Brain)
-    display_results = results
-    if state.embedding_service:
-        # Deduplicate against what we just found vs what's in the DB
-        unique_results = await state.embedding_service.deduplicate(results)
-
-        # Search for related context in the vector DB (previous searches)
-        related = await state.search_related(query, n_results=3)
-
-        # Combine unique new results + relevant historical results
-        display_results = unique_results + related
-
-    # 3. Update State (Persist for ReportAgent)
-    # We add *all* found results to state, not just the displayed ones
-    new_count = state.add_evidence(results)
-
-    # 4. Format Output for LLM
-    output = [f"Found {len(results)} results ({new_count} new stored):\n"]
-
-    # Limit display to avoid context window overflow, but state has everything
-    limit = min(len(display_results), max_results)
-
-    for i, r in enumerate(display_results[:limit], 1):
-        title = r.citation.title
-        date = r.citation.date
-        source = r.citation.source
-        content_clean = r.content[:300].replace("\n", " ")
-        url = r.citation.url
-
-        output.append(f"{i}. **{title}** ({date})")
-        output.append(f"   Source: {source} | {url}")
-        output.append(f"   {content_clean}...")
-        output.append("")
-
-    return "\n".join(output)
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def search_clinical_trials(query: str, max_results: int = 10) -> str:
-    """Search ClinicalTrials.gov for clinical studies.
-
-    Use this tool to find ongoing and completed clinical trials
-    for research investigation.
-
-    Args:
-        query: Search terms (e.g., "metformin cancer phase 3")
-        max_results: Maximum results to return (default 10)
-
-    Returns:
-        Formatted list of clinical trials with status and details
-    """
-    state = get_magentic_state()
-
-    results = await _clinicaltrials.search(query, max_results)
-    if not results:
-        return f"No clinical trials found for: {query}"
-
-    # Update state
-    new_count = state.add_evidence(results)
-
-    output = [f"Found {len(results)} clinical trials ({new_count} new stored):\n"]
-    for i, r in enumerate(results[:max_results], 1):
-        title = r.citation.title
-        date = r.citation.date
-        source = r.citation.source
-        content_clean = r.content[:300].replace("\n", " ")
-        url = r.citation.url
-
-        output.append(f"{i}. **{title}**")
-        output.append(f"   Status: {source} | Date: {date}")
-        output.append(f"   {content_clean}...")
-        output.append(f"   URL: {url}\n")
-
-    return "\n".join(output)
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def search_preprints(query: str, max_results: int = 10) -> str:
-    """Search Europe PMC for preprints and papers.
-
-    Use this tool to find the latest research including preprints
-    from bioRxiv, medRxiv, and peer-reviewed papers.
-
-    Args:
-        query: Search terms (e.g., "long covid treatment")
-        max_results: Maximum results to return (default 10)
-
-    Returns:
-        Formatted list of papers with abstracts and links
-    """
-    state = get_magentic_state()
-
-    results = await _europepmc.search(query, max_results)
-    if not results:
-        return f"No papers found for: {query}"
-
-    # Update state
-    new_count = state.add_evidence(results)
-
-    output = [f"Found {len(results)} papers ({new_count} new stored):\n"]
-    for i, r in enumerate(results[:max_results], 1):
-        title = r.citation.title
-        date = r.citation.date
-        source = r.citation.source
-        content_clean = r.content[:300].replace("\n", " ")
-        url = r.citation.url
-
-        output.append(f"{i}. **{title}**")
-        output.append(f"   Source: {source} | Date: {date}")
-        output.append(f"   {content_clean}...")
-        output.append(f"   URL: {url}\n")
-
-    return "\n".join(output)
-
-
-@ai_function  # type: ignore[arg-type, misc]
-async def get_bibliography() -> str:
-    """Get the full list of collected evidence for the bibliography.
-
-    Use this tool when generating the final report to get the complete
-    list of references.
-
-    Returns:
-        Formatted bibliography string.
-    """
-    state = get_magentic_state()
-    if not state.evidence:
-        return "No evidence collected."
-
-    output = ["## References"]
-    for i, ev in enumerate(state.evidence, 1):
-        output.append(f"{i}. {ev.citation.formatted}")
-        output.append(f"   URL: {ev.citation.url}")
-
-    return "\n".join(output)
diff --git a/src/agents/writer.py b/src/agents/writer.py
deleted file mode 100644
index 9fc2edffc55ebf5420c920827745ba878ffe7842..0000000000000000000000000000000000000000
--- a/src/agents/writer.py
+++ /dev/null
@@ -1,234 +0,0 @@
-"""Writer agent for generating final reports from findings.
-
-Converts the folder/writer_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-
-# System prompt for the writer agent
-SYSTEM_PROMPT = f"""
-You are a senior researcher tasked with comprehensively answering a research query. 
-Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-You will be provided with the original query along with research findings put together by a research assistant.
-Your objective is to generate the final response in markdown format.
-The response should be as lengthy and detailed as possible with the information provided, focusing on answering the original query.
-In your final output, include references to the source URLs for all information and data gathered. 
-This should be formatted in the form of a numbered square bracket next to the relevant information, 
-followed by a list of URLs at the end of the response, per the example below.
-
-EXAMPLE REFERENCE FORMAT:
-The company has XYZ products [1]. It operates in the software services market which is expected to grow at 10% per year [2].
-
-References:
-[1] https://example.com/first-source-url
-[2] https://example.com/second-source-url
-
-GUIDELINES:
-* Answer the query directly, do not include unrelated or tangential information.
-* Adhere to any instructions on the length of your final response if provided in the user prompt.
-* If any additional guidelines are provided in the user prompt, follow them exactly and give them precedence over these system instructions.
-"""
-
-
-class WriterAgent:
-    """
-    Agent that generates final reports from research findings.
-
-    Uses Pydantic AI to generate markdown reports with citations.
-    """
-
-    def __init__(self, model: Any | None = None) -> None:
-        """
-        Initialize the writer agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-        """
-        self.model = model or get_model()
-        self.logger = logger
-
-        # Initialize Pydantic AI Agent (no structured output - returns markdown text)
-        self.agent = Agent(
-            model=self.model,
-            system_prompt=SYSTEM_PROMPT,
-            retries=3,
-        )
-
-    async def write_report(
-        self,
-        query: str,
-        findings: str,
-        output_length: str = "",
-        output_instructions: str = "",
-    ) -> str:
-        """
-        Write a final report from findings.
-
-        Args:
-            query: The original research query
-            findings: All findings collected during research
-            output_length: Optional description of desired output length
-            output_instructions: Optional additional instructions
-
-        Returns:
-            Markdown formatted report string
-
-        Raises:
-            ConfigurationError: If writing fails
-        """
-        # Input validation
-        if not query or not query.strip():
-            self.logger.warning("Empty query provided, using default")
-            query = "Research query"
-
-        if findings is None:
-            self.logger.warning("None findings provided, using empty string")
-            findings = "No findings available."
-
-        # Truncate very long inputs to prevent context overflow
-        max_findings_length = 50000  # ~12k tokens
-        if len(findings) > max_findings_length:
-            self.logger.warning(
-                "Findings too long, truncating",
-                original_length=len(findings),
-                truncated_length=max_findings_length,
-            )
-            findings = findings[:max_findings_length] + "\n\n[Content truncated due to length]"
-
-        self.logger.info("Writing final report", query=query[:100], findings_length=len(findings))
-
-        length_str = (
-            f"* The full response should be approximately {output_length}.\n"
-            if output_length
-            else ""
-        )
-        instructions_str = f"* {output_instructions}" if output_instructions else ""
-        guidelines_str = (
-            ("\n\nGUIDELINES:\n" + length_str + instructions_str).strip("\n")
-            if length_str or instructions_str
-            else ""
-        )
-
-        user_message = f"""
-Provide a response based on the query and findings below with as much detail as possible. {guidelines_str}
-
-QUERY: {query}
-
-FINDINGS:
-{findings}
-"""
-
-        # Retry logic for transient failures
-        max_retries = 3
-        last_exception: Exception | None = None
-
-        for attempt in range(max_retries):
-            try:
-                # Run the agent
-                result = await self.agent.run(user_message)
-                report = result.output
-
-                # Validate output
-                if not report or not report.strip():
-                    self.logger.warning("Empty report generated, using fallback")
-                    raise ValueError("Empty report generated")
-
-                self.logger.info("Report written", length=len(report), attempt=attempt + 1)
-
-                return report
-
-            except (TimeoutError, ConnectionError) as e:
-                # Transient errors - retry
-                last_exception = e
-                if attempt < max_retries - 1:
-                    self.logger.warning(
-                        "Transient error, retrying",
-                        error=str(e),
-                        attempt=attempt + 1,
-                        max_retries=max_retries,
-                    )
-                    continue
-                else:
-                    self.logger.error("Max retries exceeded for transient error", error=str(e))
-                    break
-
-            except Exception as e:
-                # Non-transient errors - don't retry
-                last_exception = e
-                self.logger.error(
-                    "Report writing failed", error=str(e), error_type=type(e).__name__
-                )
-                break
-
-        # Return fallback report if all attempts failed
-        self.logger.error(
-            "Report writing failed after all attempts",
-            error=str(last_exception) if last_exception else "Unknown error",
-        )
-
-        # Try to use evidence-based report generator for better fallback
-        try:
-            from src.middleware.state_machine import get_workflow_state
-            from src.utils.report_generator import generate_report_from_evidence
-
-            state = get_workflow_state()
-            if state and state.evidence:
-                self.logger.info(
-                    "Using evidence-based report generator for fallback",
-                    evidence_count=len(state.evidence),
-                )
-                return generate_report_from_evidence(
-                    query=query,
-                    evidence=state.evidence,
-                    findings=findings,
-                )
-        except Exception as e:
-            self.logger.warning(
-                "Failed to use evidence-based report generator",
-                error=str(e),
-            )
-
-        # Fallback to simple report if evidence generator fails
-        # Truncate findings in fallback if too long
-        fallback_findings = findings[:500] + "..." if len(findings) > 500 else findings
-        return (
-            f"# Research Report\n\n"
-            f"## Query\n{query}\n\n"
-            f"## Findings\n{fallback_findings}\n\n"
-            f"*Note: Report generation encountered an error. This is a fallback report.*"
-        )
-
-
-def create_writer_agent(model: Any | None = None, oauth_token: str | None = None) -> WriterAgent:
-    """
-    Factory function to create a writer agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured WriterAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        return WriterAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create writer agent", error=str(e))
-        raise ConfigurationError(f"Failed to create writer agent: {e}") from e
diff --git a/src/app.py b/src/app.py
index e700eaece526d202e9d2918453c7544a78643325..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/src/app.py
+++ b/src/app.py
@@ -1,1304 +0,0 @@
-"""Main Gradio application for DeepCritical research agent.
-
-This module provides the Gradio interface with:
-- OAuth authentication via HuggingFace
-- Multimodal input support (text, images, audio)
-- Research agent orchestration
-- Real-time event streaming
-- MCP server integration
-"""
-
-import os
-from collections.abc import AsyncGenerator
-from typing import Any
-
-import gradio as gr
-import numpy as np
-import structlog
-
-from src.agent_factory.judges import HFInferenceJudgeHandler, JudgeHandler, MockJudgeHandler
-from src.orchestrator_factory import create_orchestrator
-from src.services.multimodal_processing import get_multimodal_service
-from src.utils.config import settings
-from src.utils.models import AgentEvent, OrchestratorConfig
-
-# Import ModelMessage from pydantic_ai with fallback
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    from typing import Any
-
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-# Type alias for Gradio multimodal input
-MultimodalPostprocess = dict[str, Any] | str
-
-# Import HuggingFace components with graceful fallback
-try:
-    from pydantic_ai.models.huggingface import HuggingFaceModel
-    from pydantic_ai.providers.huggingface import HuggingFaceProvider
-
-    _HUGGINGFACE_AVAILABLE = True
-except ImportError:
-    _HUGGINGFACE_AVAILABLE = False
-    HuggingFaceModel = None  # type: ignore[assignment, misc]
-    HuggingFaceProvider = None  # type: ignore[assignment, misc]
-
-try:
-    from huggingface_hub import AsyncInferenceClient
-
-    _ASYNC_INFERENCE_AVAILABLE = True
-except ImportError:
-    _ASYNC_INFERENCE_AVAILABLE = False
-    AsyncInferenceClient = None  # type: ignore[assignment, misc]
-
-logger = structlog.get_logger()
-
-
-def configure_orchestrator(
-    use_mock: bool = False,
-    mode: str = "simple",
-    oauth_token: str | None = None,
-    hf_model: str | None = None,
-    hf_provider: str | None = None,
-    graph_mode: str | None = None,
-    use_graph: bool = True,
-    web_search_provider: str | None = None,
-) -> tuple[Any, str]:
-    """
-    Configure and create the research orchestrator.
-
-    Args:
-        use_mock: Force mock judge handler (for testing)
-        mode: Orchestrator mode ("simple", "iterative", "deep", "auto", "advanced")
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        hf_model: Optional HuggingFace model ID (overrides settings)
-        hf_provider: Optional inference provider (currently not used by HuggingFaceProvider)
-        graph_mode: Optional graph execution mode
-        use_graph: Whether to use graph execution
-        web_search_provider: Optional web search provider ("auto", "serper", "duckduckgo")
-
-    Returns:
-        Tuple of (orchestrator, backend_info_string)
-    """
-    from src.tools.search_handler import SearchHandler
-    from src.tools.web_search_factory import create_web_search_tool
-
-    # Create search handler with tools
-    tools = []
-
-    # Add web search tool
-    web_search_tool = create_web_search_tool(provider=web_search_provider or "auto")
-    if web_search_tool:
-        tools.append(web_search_tool)
-        logger.info("Web search tool added to search handler", provider=web_search_tool.name)
-
-    # Create config if not provided
-    config = OrchestratorConfig()
-
-    search_handler = SearchHandler(
-        tools=tools,
-        timeout=config.search_timeout,
-        include_rag=True,
-        auto_ingest_to_rag=True,
-        oauth_token=oauth_token,
-    )
-
-    # Create judge (mock, real, or free tier)
-    judge_handler: JudgeHandler | MockJudgeHandler | HFInferenceJudgeHandler
-    backend_info = "Unknown"
-
-    # 1. Forced Mock (Unit Testing)
-    if use_mock:
-        judge_handler = MockJudgeHandler()
-        backend_info = "Mock (Testing)"
-
-    # 2. API Key (OAuth or Env) - HuggingFace only (OAuth provides HF token)
-    # Priority: oauth_token > env vars
-    # On HuggingFace Spaces, OAuth token is available via request.oauth_token
-    #
-    # OAuth Scope Requirements:
-    # - 'inference-api': Required for HuggingFace Inference API access
-    #   This scope grants access to:
-    #   * HuggingFace's own Inference API
-    #   * All third-party inference providers (nebius, together, scaleway, hyperbolic, novita, nscale, sambanova, ovh, fireworks, etc.)
-    #   * All models available through the Inference Providers API
-    #   See: https://huggingface.co/docs/hub/oauth#currently-supported-scopes
-    #
-    # Note: The hf_provider parameter is accepted but not used here because HuggingFaceProvider
-    # from pydantic-ai doesn't support provider selection. Provider selection happens at the
-    # InferenceClient level (used in HuggingFaceChatClient for advanced mode).
-    effective_api_key = oauth_token or os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
-
-    # Log which authentication source is being used
-    if effective_api_key:
-        auth_source = (
-            "OAuth token"
-            if oauth_token
-            else ("HF_TOKEN env var" if os.getenv("HF_TOKEN") else "HUGGINGFACE_API_KEY env var")
-        )
-        logger.info(
-            "Using HuggingFace authentication",
-            source=auth_source,
-            has_token=bool(effective_api_key),
-        )
-
-    if effective_api_key:
-        # We have an API key (OAuth or env) - use pydantic-ai with JudgeHandler
-        # This uses HuggingFace Inference API, which includes access to all third-party providers
-        # via the Inference Providers API (router.huggingface.co)
-        model: Any | None = None
-        # Use selected model or fall back to env var/settings
-        model_name = (
-            hf_model
-            or os.getenv("HF_MODEL")
-            or settings.huggingface_model
-            or "Qwen/Qwen3-Next-80B-A3B-Thinking"
-        )
-        if not _HUGGINGFACE_AVAILABLE:
-            raise ImportError(
-                "HuggingFace models are not available in this version of pydantic-ai. "
-                "Please install with: uv add 'pydantic-ai[huggingface]' to use HuggingFace inference providers."
-            )
-        # Inference API - uses HuggingFace Inference API
-        # Per https://ai.pydantic.dev/models/huggingface/#configure-the-provider
-        # HuggingFaceProvider accepts api_key parameter directly
-        # This is consistent with usage in src/utils/llm_factory.py and src/agent_factory/judges.py
-        # The OAuth token with 'inference-api' scope provides access to all inference providers
-        provider = HuggingFaceProvider(api_key=effective_api_key)  # type: ignore[misc]
-        model = HuggingFaceModel(model_name, provider=provider)  # type: ignore[misc]
-        backend_info = "API (HuggingFace OAuth)" if oauth_token else "API (Env Config)"
-
-        judge_handler = JudgeHandler(model=model)
-
-    # 3. Free Tier (HuggingFace Inference) - NO API KEY AVAILABLE
-    else:
-        # No API key available - use HFInferenceJudgeHandler with public models
-        # HFInferenceJudgeHandler will use HF_TOKEN from env if available, otherwise public models
-        # Note: OAuth token should have been caught in effective_api_key check above
-        # If we reach here, we truly have no API key, so use public models
-        judge_handler = HFInferenceJudgeHandler(
-            model_id=hf_model if hf_model else None,
-            api_key=None,  # Will use HF_TOKEN from env if available, otherwise public models
-        )
-        model_display = hf_model.split("/")[-1] if hf_model else "Default (Public Models)"
-        backend_info = f"Free Tier ({model_display} - Public Models Only)"
-
-    # Determine effective mode
-    # If mode is already iterative/deep/auto, use it directly
-    # If mode is "graph" or "simple", use graph_mode if provided
-    effective_mode = mode
-    if mode in ("graph", "simple") and graph_mode:
-        effective_mode = graph_mode
-    elif mode == "graph" and not graph_mode:
-        effective_mode = "auto"  # Default to auto if graph mode but no graph_mode specified
-
-    orchestrator = create_orchestrator(
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        config=config,
-        mode=effective_mode,  # type: ignore
-        oauth_token=oauth_token,
-    )
-
-    return orchestrator, backend_info
-
-
-def _is_file_path(text: str) -> bool:
-    """Check if text appears to be a file path.
-
-    Args:
-        text: Text to check
-
-    Returns:
-        True if text looks like a file path
-    """
-    return ("/" in text or "\\" in text) and (
-        "." in text.split("/")[-1] or "." in text.split("\\")[-1]
-    )
-
-
-def event_to_chat_message(event: AgentEvent) -> dict[str, Any]:
-    """Convert AgentEvent to Gradio chat message format.
-
-    Args:
-        event: AgentEvent to convert
-
-    Returns:
-        Dictionary with 'role' and 'content' keys for Gradio Chatbot
-    """
-    result: dict[str, Any] = {
-        "role": "assistant",
-        "content": event.to_markdown(),
-    }
-
-    # Add metadata if available
-    if event.data:
-        metadata: dict[str, Any] = {}
-
-        # Extract file path if present
-        if isinstance(event.data, dict):
-            file_path = event.data.get("file_path")
-            if file_path:
-                metadata["file_path"] = file_path
-
-        if metadata:
-            result["metadata"] = metadata
-    return result
-
-
-def extract_oauth_info(request: gr.Request | None) -> tuple[str | None, str | None]:
-    """
-    Extract OAuth token and username from Gradio request.
-
-    Args:
-        request: Gradio request object containing OAuth information
-
-    Returns:
-        Tuple of (oauth_token, oauth_username)
-    """
-    oauth_token: str | None = None
-    oauth_username: str | None = None
-
-    if request is None:
-        return oauth_token, oauth_username
-
-    # Try multiple ways to access OAuth token (Gradio API may vary)
-    # Pattern 1: request.oauth_token.token
-    if hasattr(request, "oauth_token") and request.oauth_token is not None:
-        if hasattr(request.oauth_token, "token"):
-            oauth_token = request.oauth_token.token
-        elif isinstance(request.oauth_token, str):
-            oauth_token = request.oauth_token
-    # Pattern 2: request.headers (fallback)
-    elif hasattr(request, "headers"):
-        # OAuth token might be in headers
-        auth_header = request.headers.get("authorization") or request.headers.get("Authorization")
-        if auth_header and auth_header.startswith("Bearer "):
-            oauth_token = auth_header.replace("Bearer ", "")
-
-    # Access username from request
-    if hasattr(request, "username") and request.username:
-        oauth_username = request.username
-    # Also try accessing via oauth_profile if available
-    elif hasattr(request, "oauth_profile") and request.oauth_profile is not None:
-        if hasattr(request.oauth_profile, "username") and request.oauth_profile.username:
-            oauth_username = request.oauth_profile.username
-        elif hasattr(request.oauth_profile, "name") and request.oauth_profile.name:
-            oauth_username = request.oauth_profile.name
-
-    return oauth_token, oauth_username
-
-
-async def yield_auth_messages(
-    oauth_username: str | None,
-    oauth_token: str | None,
-    has_huggingface: bool,
-    mode: str,
-) -> AsyncGenerator[dict[str, Any], None]:
-    """
-    Yield authentication status messages.
-
-    Args:
-        oauth_username: OAuth username if available
-        oauth_token: OAuth token if available
-        has_huggingface: Whether HuggingFace authentication is available
-        mode: Research mode
-
-    Yields:
-        Chat message dictionaries
-    """
-    if oauth_username:
-        yield {
-            "role": "assistant",
-            "content": f"👋 **Welcome, {oauth_username}!**\n\nAuthenticated via HuggingFace OAuth.",
-        }
-
-    if oauth_token:
-        yield {
-            "role": "assistant",
-            "content": (
-                "🔐 **Authentication Status**: ✅ Authenticated\n\n"
-                "Your OAuth token has been validated. You can now use all AI models and research tools."
-            ),
-        }
-    elif has_huggingface:
-        yield {
-            "role": "assistant",
-            "content": (
-                "🔐 **Authentication Status**: ✅ Using environment token\n\n"
-                "Using HF_TOKEN from environment variables."
-            ),
-        }
-    else:
-        yield {
-            "role": "assistant",
-            "content": (
-                "⚠️ **Authentication Status**: ❌ No authentication\n\n"
-                "Please sign in with HuggingFace or set HF_TOKEN environment variable."
-            ),
-        }
-
-    yield {
-        "role": "assistant",
-        "content": f"🚀 **Mode**: {mode.upper()}\n\nStarting research agent...",
-    }
-
-
-def _extract_oauth_token(oauth_token: gr.OAuthToken | None) -> str | None:
-    """Extract token value from OAuth token object."""
-    if oauth_token is None:
-        return None
-
-    if hasattr(oauth_token, "token"):
-        token_value: str | None = getattr(oauth_token, "token", None)  # type: ignore[assignment]
-        if token_value is None:
-            return None
-        logger.debug("OAuth token extracted from oauth_token.token attribute")
-
-        # Validate token format
-        from src.utils.hf_error_handler import log_token_info, validate_hf_token
-
-        log_token_info(token_value, context="research_agent")
-        is_valid, error_msg = validate_hf_token(token_value)
-        if not is_valid:
-            logger.warning(
-                "OAuth token validation failed",
-                error=error_msg,
-                oauth_token_type=type(oauth_token).__name__,
-            )
-        return token_value
-
-    if isinstance(oauth_token, str):
-        logger.debug("OAuth token extracted as string")
-
-        # Validate token format
-        from src.utils.hf_error_handler import log_token_info, validate_hf_token
-
-        log_token_info(oauth_token, context="research_agent")
-        return oauth_token
-
-    logger.warning(
-        "OAuth token object present but token extraction failed",
-        oauth_token_type=type(oauth_token).__name__,
-    )
-    return None
-
-
-def _extract_username(oauth_profile: gr.OAuthProfile | None) -> str | None:
-    """Extract username from OAuth profile."""
-    if oauth_profile is None:
-        return None
-
-    username: str | None = None
-    if hasattr(oauth_profile, "username") and oauth_profile.username:
-        username = str(oauth_profile.username)
-    elif hasattr(oauth_profile, "name") and oauth_profile.name:
-        username = str(oauth_profile.name)
-
-    if username:
-        logger.info("OAuth user authenticated", username=username)
-    return username
-
-
-async def _process_multimodal_input(
-    message: str | MultimodalPostprocess,
-    enable_image_input: bool,
-    enable_audio_input: bool,
-    token_value: str | None,
-) -> tuple[str, tuple[int, np.ndarray[Any, Any]] | None]:  # type: ignore[type-arg]
-    """Process multimodal input and return processed text and audio data."""
-    processed_text = ""
-    audio_input_data: tuple[int, np.ndarray[Any, Any]] | None = None  # type: ignore[type-arg]
-
-    if isinstance(message, dict):
-        processed_text = message.get("text", "") or ""
-        files = message.get("files", []) or []
-        audio_input_data = message.get("audio") or None
-
-        if (files and enable_image_input) or (audio_input_data is not None and enable_audio_input):
-            try:
-                multimodal_service = get_multimodal_service()
-                processed_text = await multimodal_service.process_multimodal_input(
-                    processed_text,
-                    files=files if enable_image_input else [],
-                    audio_input=audio_input_data if enable_audio_input else None,
-                    hf_token=token_value,
-                    prepend_multimodal=True,
-                )
-            except Exception as e:
-                logger.warning("multimodal_processing_failed", error=str(e))
-    else:
-        processed_text = str(message) if message else ""
-
-    return processed_text, audio_input_data
-
-
-async def research_agent(
-    message: str | MultimodalPostprocess,
-    history: list[dict[str, Any]],
-    mode: str = "simple",
-    hf_model: str | None = None,
-    hf_provider: str | None = None,
-    graph_mode: str = "auto",
-    use_graph: bool = True,
-    enable_image_input: bool = True,
-    enable_audio_input: bool = True,
-    web_search_provider: str = "auto",
-    oauth_token: gr.OAuthToken | None = None,
-    oauth_profile: gr.OAuthProfile | None = None,
-) -> AsyncGenerator[dict[str, Any], None]:
-    """
-    Main research agent function that processes queries and streams results.
-
-    Args:
-        message: User message (text, image, or audio)
-        history: Conversation history
-        mode: Orchestrator mode
-        hf_model: Optional HuggingFace model ID
-        hf_provider: Optional inference provider
-        graph_mode: Graph execution mode
-        use_graph: Whether to use graph execution
-        enable_image_input: Whether to process image inputs
-        enable_audio_input: Whether to process audio inputs
-        web_search_provider: Web search provider selection
-        oauth_token: Gradio OAuth token (None if user not logged in)
-        oauth_profile: Gradio OAuth profile (None if user not logged in)
-
-    Yields:
-        Chat message dictionaries
-    """
-    # Extract OAuth token and username
-    token_value = _extract_oauth_token(oauth_token)
-    username = _extract_username(oauth_profile)
-
-    # Check if user is logged in (OAuth token or env var)
-    # Fallback to env vars for local development or Spaces with HF_TOKEN secret
-    has_authentication = bool(
-        token_value or os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
-    )
-
-    if not has_authentication:
-        yield {
-            "role": "assistant",
-            "content": (
-                "🔐 **Authentication Required**\n\n"
-                "Please **sign in with HuggingFace** using the login button at the top of the page "
-                "before using this application.\n\n"
-                "The login button is required to access the AI models and research tools."
-            ),
-        }
-        return
-
-    # Process multimodal input
-    processed_text, audio_input_data = await _process_multimodal_input(
-        message, enable_image_input, enable_audio_input, token_value
-    )
-
-    if not processed_text.strip():
-        yield {
-            "role": "assistant",
-            "content": "Please enter a research question or provide an image/audio input.",
-        }
-        return
-
-    # Check available keys (use token_value instead of oauth_token)
-    has_huggingface = bool(os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY") or token_value)
-
-    # Adjust mode if needed
-    effective_mode = mode
-    if mode == "advanced":
-        effective_mode = "simple"
-
-    # Yield authentication and mode status messages
-    async for msg in yield_auth_messages(username, token_value, has_huggingface, mode):
-        yield msg
-
-    # Run the agent and stream events
-    try:
-        # use_mock=False - let configure_orchestrator decide based on available keys
-        # It will use: OAuth token > Env vars > HF Inference (free tier)
-        # Convert empty strings from Textbox to None for defaults
-        model_id = hf_model if hf_model and hf_model.strip() else None
-        provider_name = hf_provider if hf_provider and hf_provider.strip() else None
-
-        # Log authentication source for debugging
-        auth_source = (
-            "OAuth"
-            if token_value
-            else (
-                "Env (HF_TOKEN)"
-                if os.getenv("HF_TOKEN")
-                else ("Env (HUGGINGFACE_API_KEY)" if os.getenv("HUGGINGFACE_API_KEY") else "None")
-            )
-        )
-        logger.info(
-            "Configuring orchestrator",
-            mode=effective_mode,
-            auth_source=auth_source,
-            has_oauth_token=bool(token_value),
-            model=model_id or "default",
-            provider=provider_name or "auto",
-        )
-
-        # Convert empty string to None for web_search_provider
-        web_search_provider_value = (
-            web_search_provider if web_search_provider and web_search_provider.strip() else None
-        )
-
-        orchestrator, backend_name = configure_orchestrator(
-            use_mock=False,  # Never use mock in production - HF Inference is the free fallback
-            mode=effective_mode,
-            oauth_token=token_value,  # Use extracted token value - passed to all agents and services
-            hf_model=model_id,  # None will use defaults in configure_orchestrator
-            hf_provider=provider_name,  # None will use defaults in configure_orchestrator
-            graph_mode=graph_mode if graph_mode else None,
-            use_graph=use_graph,
-            web_search_provider=web_search_provider_value,  # None will use settings default
-        )
-
-        yield {
-            "role": "assistant",
-            "content": f"🔧 **Backend**: {backend_name}\n\nProcessing your query...",
-        }
-
-        # Convert history to ModelMessage format if needed
-        message_history: list[ModelMessage] = []
-        if history:
-            for msg in history:
-                role = msg.get("role", "user")
-                content = msg.get("content", "")
-                if isinstance(content, str) and content.strip():
-                    message_history.append(ModelMessage(role=role, content=content))  # type: ignore[operator]
-
-        # Run orchestrator and stream events
-        async for event in orchestrator.run(
-            processed_text, message_history=message_history if message_history else None
-        ):
-            chat_msg = event_to_chat_message(event)
-            yield chat_msg
-
-        # Note: Audio output is now handled via on-demand TTS button
-        # Users click "Generate Audio" button to create TTS for the last response
-
-    except Exception as e:
-        # Return error message without metadata to avoid issues during example caching
-        # Metadata can cause validation errors when Gradio caches examples
-        # Gradio Chatbot requires plain text - remove all markdown and special characters
-        error_msg = str(e).replace("**", "").replace("*", "").replace("`", "")
-        # Ensure content is a simple string without any special formatting
-        yield {
-            "role": "assistant",
-            "content": f"Error: {error_msg}. Please check your configuration and try again.",
-        }
-
-
-async def update_model_provider_dropdowns(
-    oauth_token: gr.OAuthToken | None = None,
-    oauth_profile: gr.OAuthProfile | None = None,
-) -> tuple[dict[str, Any], dict[str, Any], str]:
-    """Update model and provider dropdowns based on OAuth token.
-
-    This function is called when OAuth token/profile changes (user logs in/out).
-    It queries HuggingFace API to get available models and providers.
-
-    Args:
-        oauth_token: Gradio OAuth token
-        oauth_profile: Gradio OAuth profile
-
-    Returns:
-        Tuple of (model_dropdown_update, provider_dropdown_update, status_message)
-    """
-    from src.utils.hf_model_validator import (
-        get_available_models,
-        get_available_providers,
-        validate_oauth_token,
-    )
-
-    # Extract token value
-    token_value: str | None = None
-    if oauth_token is not None:
-        if hasattr(oauth_token, "token"):
-            token_value = oauth_token.token
-        elif isinstance(oauth_token, str):
-            token_value = oauth_token
-
-    # Default values (empty = use default)
-    default_models = [""]
-    default_providers = [""]
-    status_msg = "⚠️ Not authenticated - using default models"
-
-    if not token_value:
-        # No token - return defaults
-        return (
-            gr.update(choices=default_models, value=""),
-            gr.update(choices=default_providers, value=""),
-            status_msg,
-        )
-
-    try:
-        # Validate token and get available resources
-        validation_result = await validate_oauth_token(token_value)
-
-        if not validation_result["is_valid"]:
-            status_msg = (
-                f"❌ Token validation failed: {validation_result.get('error', 'Unknown error')}"
-            )
-            return (
-                gr.update(choices=default_models, value=""),
-                gr.update(choices=default_providers, value=""),
-                status_msg,
-            )
-
-        # Get available models and providers
-        models = await get_available_models(token=token_value, limit=50)
-        providers = await get_available_providers(token=token_value)
-
-        # Combine with defaults
-        model_choices = ["", *models[:49]]  # Keep first 49 + empty option
-        provider_choices = providers  # Already includes "auto"
-
-        username = validation_result.get("username", "User")
-
-        # Build status message with warning if scope is missing
-        scope_warning = ""
-        if not validation_result["has_inference_api_scope"]:
-            scope_warning = (
-                "⚠️ Token may not have 'inference-api' scope - some models may not work\n\n"
-            )
-
-        status_msg = (
-            f"{scope_warning}✅ Authenticated as {username}\n\n"
-            f"📊 Found {len(models)} available models\n"
-            f"🔧 Found {len(providers)} available providers"
-        )
-
-        logger.info(
-            "Updated model/provider dropdowns",
-            model_count=len(model_choices),
-            provider_count=len(provider_choices),
-            username=username,
-        )
-
-        return (
-            gr.update(choices=model_choices, value=""),
-            gr.update(choices=provider_choices, value=""),
-            status_msg,
-        )
-
-    except Exception as e:
-        logger.error("Failed to update dropdowns", error=str(e))
-        status_msg = f"⚠️ Failed to load models: {e!s}"
-        return (
-            gr.update(choices=default_models, value=""),
-            gr.update(choices=default_providers, value=""),
-            status_msg,
-        )
-
-
-def create_demo() -> gr.Blocks:
-    """
-    Create the Gradio demo interface with MCP support and OAuth login.
-
-    Returns:
-        Configured Gradio Blocks interface with MCP server and OAuth enabled
-    """
-    with gr.Blocks(title="🔬 The DETERMINATOR", fill_height=True) as demo:
-        # Add sidebar with login button and information
-        # Reference: Working implementation pattern from Gradio docs
-        with gr.Sidebar():
-            gr.Markdown("# 🔐 Authentication")
-            gr.Markdown(
-                "**Sign in with Hugging Face** to access AI models and research tools.\n\n"
-                "This application requires authentication to use the inference API."
-            )
-            gr.LoginButton("Sign in with Hugging Face")
-            gr.Markdown("---")
-
-            # About Section - Collapsible with details
-            with gr.Accordion("ℹ️ About", open=False):
-                gr.Markdown(
-                    "**The DETERMINATOR** - Generalist Deep Research Agent\n\n"
-                    "Stops at nothing until finding precise answers to complex questions.\n\n"
-                    "**How It Works**:\n"
-                    "- 🔍 Multi-source search (Web, PubMed, ClinicalTrials.gov, Europe PMC, RAG)\n"
-                    "- 🧠 Automatic medical knowledge detection\n"
-                    "- 🔄 Iterative refinement with search-judge loops\n"
-                    "- ⏹️ Continues until budget/time/iteration limits\n"
-                    "- 📊 Evidence synthesis with citations\n\n"
-                    "**Multimodal Input**:\n"
-                    "- 📷 **Images**: Click image icon in textbox (OCR)\n"
-                    "- 🎤 **Audio**: Click microphone icon (speech-to-text)\n"
-                    "- 📄 **Files**: Drag & drop or click to upload\n\n"
-                    "**MCP Server**: Connect Claude Desktop to `/gradio_api/mcp/`\n\n"
-                    "⚠️ **Research tool only** - Synthesizes evidence but cannot provide medical advice."
-                )
-
-            gr.Markdown("---")
-
-            # Settings Section - Organized in Accordions
-            gr.Markdown("## ⚙️ Settings")
-
-            # Research Configuration Accordion
-            with gr.Accordion("🔬 Research Configuration", open=True):
-                mode_radio = gr.Radio(
-                    choices=["simple", "advanced", "iterative", "deep", "auto"],
-                    value="simple",
-                    label="Orchestrator Mode",
-                    info=(
-                        "Simple: Linear search-judge loop | "
-                        "Advanced: Multi-agent (OpenAI) | "
-                        "Iterative: Knowledge-gap driven | "
-                        "Deep: Parallel sections | "
-                        "Auto: Smart routing"
-                    ),
-                )
-
-                graph_mode_radio = gr.Radio(
-                    choices=["iterative", "deep", "auto"],
-                    value="auto",
-                    label="Graph Research Mode",
-                    info="Iterative: Single loop | Deep: Parallel sections | Auto: Detect from query",
-                )
-
-                use_graph_checkbox = gr.Checkbox(
-                    value=True,
-                    label="Use Graph Execution",
-                    info="Enable graph-based workflow execution",
-                )
-
-                # Model and Provider selection
-                gr.Markdown("### 🤖 Model & Provider")
-
-                # Status message for model/provider loading
-                model_provider_status = gr.Markdown(
-                    value="⚠️ Sign in to see available models and providers",
-                    visible=True,
-                )
-
-                # Popular models list (will be updated by validator)
-                popular_models = [
-                    "",  # Empty = use default
-                    "Qwen/Qwen3-Next-80B-A3B-Thinking",
-                    "Qwen/Qwen3-235B-A22B-Instruct-2507",
-                    "zai-org/GLM-4.5-Air",
-                    "meta-llama/Llama-3.1-8B-Instruct",
-                    "meta-llama/Llama-3.1-70B-Instruct",
-                    "mistralai/Mistral-7B-Instruct-v0.2",
-                    "google/gemma-2-9b-it",
-                ]
-
-                hf_model_dropdown = gr.Dropdown(
-                    choices=popular_models,
-                    value="",  # Empty string - will be converted to None in research_agent
-                    label="Reasoning Model",
-                    info="Select a HuggingFace model (leave empty for default). Sign in to see all available models.",
-                    allow_custom_value=True,  # Allow users to type custom model IDs
-                )
-
-                # Provider list from README (will be updated by validator)
-                providers = [
-                    "",  # Empty string = auto-select
-                    "nebius",
-                    "together",
-                    "scaleway",
-                    "hyperbolic",
-                    "novita",
-                    "nscale",
-                    "sambanova",
-                    "ovh",
-                    "fireworks",
-                ]
-
-                hf_provider_dropdown = gr.Dropdown(
-                    choices=providers,
-                    value="",  # Empty string - will be converted to None in research_agent
-                    label="Inference Provider",
-                    info="Select inference provider (leave empty for auto-select). Sign in to see all available providers.",
-                )
-
-                # Refresh button for updating models/providers after login
-                def refresh_models_and_providers(
-                    request: gr.Request,
-                ) -> tuple[dict[str, Any], dict[str, Any], str]:
-                    """Handle refresh button click and update dropdowns."""
-                    import asyncio
-
-                    # Extract OAuth token and profile from request
-                    oauth_token: gr.OAuthToken | None = None
-                    oauth_profile: gr.OAuthProfile | None = None
-
-                    if request is not None:
-                        # Try to get OAuth token from request
-                        if hasattr(request, "oauth_token"):
-                            oauth_token = request.oauth_token
-                        if hasattr(request, "oauth_profile"):
-                            oauth_profile = request.oauth_profile
-
-                    # Run async function in sync context
-                    loop = asyncio.new_event_loop()
-                    asyncio.set_event_loop(loop)
-                    try:
-                        result = loop.run_until_complete(
-                            update_model_provider_dropdowns(oauth_token, oauth_profile)
-                        )
-                        return result
-                    finally:
-                        loop.close()
-
-                refresh_models_btn = gr.Button(
-                    value="🔄 Refresh Available Models",
-                    visible=True,
-                    size="sm",
-                )
-
-                # Pass request to get OAuth token from Gradio context
-                refresh_models_btn.click(
-                    fn=refresh_models_and_providers,
-                    inputs=[],  # Request is automatically available in Gradio context
-                    outputs=[hf_model_dropdown, hf_provider_dropdown, model_provider_status],
-                )
-
-                # Web Search Provider selection
-                gr.Markdown("### 🔍 Web Search Provider")
-
-                # Available providers with labels indicating availability
-                # Format: (display_label, value) - Gradio Dropdown supports tuples
-                web_search_provider_options = [
-                    ("Auto-detect (Recommended)", "auto"),
-                    ("Serper (Google Search + Full Content)", "serper"),
-                    ("DuckDuckGo (Free, Snippets Only)", "duckduckgo"),
-                    ("SearchXNG (Self-hosted) - Coming Soon", "searchxng"),  # Not fully implemented
-                    ("Brave - Coming Soon", "brave"),  # Not implemented
-                    ("Tavily - Coming Soon", "tavily"),  # Not implemented
-                ]
-
-                # Create Dropdown with label-value pairs
-                # Gradio will display labels but return values
-                # Disabled options are marked with "Coming Soon" in the label
-                # The factory will handle "not implemented" cases gracefully
-                web_search_provider_dropdown = gr.Dropdown(
-                    choices=web_search_provider_options,
-                    value="auto",
-                    label="Web Search Provider",
-                    info="Select web search provider. 'Auto' detects best available.",
-                )
-
-                # Multimodal Input Configuration
-                gr.Markdown("### 📷🎤 Multimodal Input")
-
-                enable_image_input_checkbox = gr.Checkbox(
-                    value=settings.enable_image_input,
-                    label="Enable Image Input (OCR)",
-                    info="Process uploaded images with OCR",
-                )
-
-                enable_audio_input_checkbox = gr.Checkbox(
-                    value=settings.enable_audio_input,
-                    label="Enable Audio Input (STT)",
-                    info="Process uploaded/recorded audio with speech-to-text",
-                )
-
-            # Audio Output Configuration - Collapsible
-            with gr.Accordion("🔊 Audio Output (TTS)", open=False):
-                gr.Markdown(
-                    "**Generate audio for research responses on-demand.**\n\n"
-                    "Enter Modal keys below or set `MODAL_TOKEN_ID`/`MODAL_TOKEN_SECRET` in `.env` for local development."
-                )
-
-                with gr.Accordion("🔑 Modal Credentials (Optional)", open=False):
-                    modal_token_id_input = gr.Textbox(
-                        label="Modal Token ID",
-                        placeholder="ak-... (leave empty to use .env)",
-                        type="password",
-                        value="",
-                    )
-
-                    modal_token_secret_input = gr.Textbox(
-                        label="Modal Token Secret",
-                        placeholder="as-... (leave empty to use .env)",
-                        type="password",
-                        value="",
-                    )
-
-                with gr.Accordion("🎚️ Voice & Quality Settings", open=False):
-                    tts_voice_dropdown = gr.Dropdown(
-                        choices=[
-                            "af_heart",
-                            "af_bella",
-                            "af_sarah",
-                            "af_sky",
-                            "af_nova",
-                            "af_shimmer",
-                            "af_echo",
-                            "af_fable",
-                            "af_onyx",
-                            "af_angel",
-                            "af_asteria",
-                            "af_jessica",
-                            "af_elli",
-                            "af_domi",
-                            "af_gigi",
-                            "af_freya",
-                            "af_glinda",
-                            "af_cora",
-                            "af_serena",
-                            "af_liv",
-                            "af_naomi",
-                            "af_rachel",
-                            "af_antoni",
-                            "af_thomas",
-                            "af_charlie",
-                            "af_emily",
-                            "af_george",
-                            "af_arnold",
-                            "af_adam",
-                            "af_sam",
-                            "af_paul",
-                            "af_josh",
-                            "af_daniel",
-                            "af_liam",
-                            "af_dave",
-                            "af_fin",
-                            "af_sarah",
-                            "af_glinda",
-                            "af_grace",
-                            "af_dorothy",
-                            "af_michael",
-                            "af_james",
-                            "af_joseph",
-                            "af_jeremy",
-                            "af_ryan",
-                            "af_oliver",
-                            "af_harry",
-                            "af_kyle",
-                            "af_leo",
-                            "af_otto",
-                            "af_owen",
-                            "af_pepper",
-                            "af_phil",
-                            "af_raven",
-                            "af_rocky",
-                            "af_rusty",
-                            "af_serena",
-                            "af_sky",
-                            "af_spark",
-                            "af_stella",
-                            "af_storm",
-                            "af_taylor",
-                            "af_vera",
-                            "af_will",
-                            "af_aria",
-                            "af_ash",
-                            "af_ballad",
-                            "af_bella",
-                            "af_breeze",
-                            "af_cove",
-                            "af_dusk",
-                            "af_ember",
-                            "af_flash",
-                            "af_flow",
-                            "af_glow",
-                            "af_harmony",
-                            "af_journey",
-                            "af_lullaby",
-                            "af_lyra",
-                            "af_melody",
-                            "af_midnight",
-                            "af_moon",
-                            "af_muse",
-                            "af_music",
-                            "af_narrator",
-                            "af_nightingale",
-                            "af_poet",
-                            "af_rain",
-                            "af_redwood",
-                            "af_rewind",
-                            "af_river",
-                            "af_sage",
-                            "af_seashore",
-                            "af_shadow",
-                            "af_silver",
-                            "af_song",
-                            "af_starshine",
-                            "af_story",
-                            "af_summer",
-                            "af_sun",
-                            "af_thunder",
-                            "af_tide",
-                            "af_time",
-                            "af_valentino",
-                            "af_verdant",
-                            "af_verse",
-                            "af_vibrant",
-                            "af_vivid",
-                            "af_warmth",
-                            "af_whisper",
-                            "af_wilderness",
-                            "af_willow",
-                            "af_winter",
-                            "af_wit",
-                            "af_witness",
-                            "af_wren",
-                            "af_writer",
-                            "af_zara",
-                            "af_zeus",
-                            "af_ziggy",
-                            "af_zoom",
-                            "af_river",
-                            "am_michael",
-                            "am_fenrir",
-                            "am_puck",
-                            "am_echo",
-                            "am_eric",
-                            "am_liam",
-                            "am_onyx",
-                            "am_santa",
-                            "am_adam",
-                        ],
-                        value=settings.tts_voice,
-                        label="TTS Voice",
-                        info="Select TTS voice (American English voices: af_*, am_*)",
-                    )
-
-                    tts_speed_slider = gr.Slider(
-                        minimum=0.5,
-                        maximum=2.0,
-                        value=settings.tts_speed,
-                        step=0.1,
-                        label="TTS Speech Speed",
-                        info="Adjust TTS speech speed (0.5x to 2.0x)",
-                    )
-
-                    gr.Dropdown(
-                        choices=["T4", "A10", "A100", "L4", "L40S"],
-                        value=settings.tts_gpu or "T4",
-                        label="TTS GPU Type",
-                        info="Modal GPU type for TTS (T4 is cheapest, A100 is fastest). Note: GPU changes require app restart.",
-                        visible=settings.modal_available,
-                        interactive=False,  # GPU type set at function definition time, requires restart
-                    )
-
-                    tts_use_llm_polish_checkbox = gr.Checkbox(
-                        value=settings.tts_use_llm_polish,
-                        label="Use LLM Polish for Audio",
-                        info="Apply LLM-based final polish to remove remaining formatting artifacts (costs API calls)",
-                    )
-
-                tts_generate_button = gr.Button(
-                    "🎵 Generate Audio for Last Response",
-                    variant="primary",
-                    size="lg",
-                )
-
-                tts_status_text = gr.Markdown(
-                    "Click the button above to generate audio for the last research response.",
-                    elem_classes="tts-status",
-                )
-
-                # Audio output component (for TTS response)
-                audio_output = gr.Audio(
-                    label="🔊 Audio Output",
-                    visible=True,
-                )
-
-        # TTS on-demand generation handler
-        async def handle_tts_generation(
-            history: list[dict[str, Any]],
-            modal_token_id: str,
-            modal_token_secret: str,
-            voice: str,
-            speed: float,
-            use_llm_polish: bool,
-        ) -> tuple[Any | None, str]:
-            """Generate audio on-demand for the last response.
-
-            Args:
-                history: Chat history
-                modal_token_id: Modal token ID from UI
-                modal_token_secret: Modal token secret from UI
-                voice: TTS voice selection
-                speed: TTS speed
-                use_llm_polish: Enable LLM polish
-
-            Returns:
-                Tuple of (audio_output, status_message)
-            """
-            from src.services.tts_modal import generate_audio_on_demand
-
-            # Get last assistant message from history
-            # History is a list of tuples: [(user_msg, assistant_msg), ...]
-            if not history:
-                logger.warning("tts_no_history", history=history)
-                return None, "❌ No messages in history to generate audio for"
-
-            # Debug: Log history format
-            logger.info(
-                "tts_history_debug",
-                history_type=type(history).__name__,
-                history_length=len(history) if isinstance(history, list) else 0,
-                first_entry_type=type(history[0]).__name__
-                if isinstance(history, list) and len(history) > 0
-                else None,
-                first_entry_sample=str(history[0])[:200]
-                if isinstance(history, list) and len(history) > 0
-                else None,
-            )
-
-            # Get the last assistant message (second element of last tuple)
-            last_message = None
-            if isinstance(history, list) and len(history) > 0:
-                last_entry = history[-1]
-                # ChatInterface format: (user_message, assistant_message)
-                if isinstance(last_entry, (tuple, list)) and len(last_entry) >= 2:
-                    last_message = last_entry[1]
-                    logger.info(
-                        "tts_extracted_from_tuple", message_type=type(last_message).__name__
-                    )
-                # Dict format: {"role": "assistant", "content": "..."}
-                elif isinstance(last_entry, dict):
-                    if last_entry.get("role") == "assistant":
-                        content = last_entry.get("content", "")
-                        # Content might be a list (multimodal) or string
-                        if isinstance(content, list):
-                            # Extract text from multimodal content list
-                            last_message = " ".join(str(item) for item in content if item)
-                        else:
-                            last_message = content
-                        logger.info(
-                            "tts_extracted_from_dict",
-                            message_type=type(content).__name__,
-                            message_length=len(last_message)
-                            if isinstance(last_message, str)
-                            else 0,
-                        )
-                else:
-                    logger.warning(
-                        "tts_unknown_format",
-                        entry_type=type(last_entry).__name__,
-                        entry=str(last_entry)[:200],
-                    )
-
-            # Also handle if last_message itself is a list
-            if isinstance(last_message, list):
-                last_message = " ".join(str(item) for item in last_message if item)
-
-            if not last_message or not isinstance(last_message, str) or not last_message.strip():
-                logger.error(
-                    "tts_no_message_found",
-                    last_message_type=type(last_message).__name__ if last_message else None,
-                    last_message_value=str(last_message)[:100] if last_message else None,
-                )
-                return None, "❌ No assistant response found in history"
-
-            # Generate audio
-            audio_output, status_message = await generate_audio_on_demand(
-                text=last_message,
-                modal_token_id=modal_token_id,
-                modal_token_secret=modal_token_secret,
-                voice=voice,
-                speed=speed,
-                use_llm_polish=use_llm_polish,
-            )
-
-            return audio_output, status_message
-
-        # Chat interface with multimodal support
-        # Examples are provided but will NOT run at startup (cache_examples=False)
-        # Users must log in first before using examples or submitting queries
-        chat_interface = gr.ChatInterface(
-            fn=research_agent,
-            multimodal=True,  # Enable multimodal input (text + images + audio)
-            title="🔬 The DETERMINATOR",
-            description=(
-                "*Generalist Deep Research Agent — stops at nothing until finding precise answers*\n\n"
-                "💡 **Quick Start**: Type your research question below. Use 📷 for images, 🎤 for audio.\n\n"
-                "⚠️ **Sign in with HuggingFace** (sidebar) before starting."
-            ),
-            examples=[
-                # When additional_inputs are provided, examples must be lists of lists
-                # Each inner list: [message, mode, hf_model, hf_provider, graph_mode, multimodal_enabled]
-                # Using actual model IDs and provider names from inference_models.py
-                # Note: Provider is optional - if empty, HF will auto-select
-                # These examples will NOT run at startup - users must click them after logging in
-                # All examples require deep iterative search and information retrieval across multiple sources
-                [
-                    # Medical research example (only one medical example)
-                    "Create a comprehensive report on Long COVID treatments including clinical trials, mechanisms, and safety.",
-                    "deep",
-                    "zai-org/GLM-4.5-Air",
-                    "nebius",
-                    "deep",
-                    True,
-                ],
-                [
-                    # Technical/Engineering example requiring deep research
-                    "Analyze the current state of quantum computing architectures: compare different qubit technologies, error correction methods, and scalability challenges across major platforms including IBM, Google, and IonQ.",
-                    "deep",
-                    "Qwen/Qwen3-Next-80B-A3B-Thinking",
-                    "nebius",
-                    "deep",
-                    True,
-                ],
-                [
-                    # Historical/Social Science example
-                    "Research and synthesize information about the economic impact of the Industrial Revolution on European social structures, including changes in class dynamics, urbanization patterns, and labor movements from 1750-1900.",
-                    "deep",
-                    "meta-llama/Llama-3.1-70B-Instruct",
-                    "together",
-                    "deep",
-                    True,
-                ],
-                [
-                    # Scientific/Physics example
-                    "Investigate the latest developments in fusion energy research: compare ITER, SPARC, and other major projects, analyze recent breakthroughs in plasma confinement, and assess the timeline to commercial fusion power.",
-                    "deep",
-                    "Qwen/Qwen3-235B-A22B-Instruct-2507",
-                    "hyperbolic",
-                    "deep",
-                    True,
-                ],
-                [
-                    # Technology/Business example
-                    "Research the competitive landscape of AI chip manufacturers: analyze NVIDIA, AMD, Intel, and emerging players, compare architectures (GPU vs. TPU vs. NPU), and assess market positioning and future trends.",
-                    "deep",
-                    "zai-org/GLM-4.5-Air",
-                    "fireworks",
-                    "deep",
-                    True,
-                ],
-            ],
-            additional_inputs=[
-                mode_radio,
-                hf_model_dropdown,
-                hf_provider_dropdown,
-                graph_mode_radio,
-                use_graph_checkbox,
-                enable_image_input_checkbox,
-                enable_audio_input_checkbox,
-                web_search_provider_dropdown,
-                # Note: gr.OAuthToken and gr.OAuthProfile are automatically passed as function parameters
-            ],
-            cache_examples=False,  # Don't cache examples - requires authentication
-        )
-
-        # Wire up TTS generation button
-        tts_generate_button.click(
-            fn=handle_tts_generation,
-            inputs=[
-                chat_interface.chatbot,  # Get chat history from ChatInterface
-                modal_token_id_input,
-                modal_token_secret_input,
-                tts_voice_dropdown,
-                tts_speed_slider,
-                tts_use_llm_polish_checkbox,
-            ],
-            outputs=[audio_output, tts_status_text],
-        )
-
-    return demo  # type: ignore[no-any-return]
-
-
-if __name__ == "__main__":
-    demo = create_demo()
-    demo.launch(server_name="0.0.0.0", server_port=7860)
diff --git a/src/legacy_orchestrator.py b/src/legacy_orchestrator.py
deleted file mode 100644
index b41ba8aad566bee202c37ddbc142e677a7a9fce4..0000000000000000000000000000000000000000
--- a/src/legacy_orchestrator.py
+++ /dev/null
@@ -1,453 +0,0 @@
-"""Orchestrator - the agent loop connecting Search and Judge."""
-
-import asyncio
-from collections.abc import AsyncGenerator
-from typing import Any, Protocol
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.utils.config import settings
-from src.utils.models import (
-    AgentEvent,
-    Evidence,
-    JudgeAssessment,
-    OrchestratorConfig,
-    SearchResult,
-)
-
-logger = structlog.get_logger()
-
-
-class SearchHandlerProtocol(Protocol):
-    """Protocol for search handler."""
-
-    async def execute(self, query: str, max_results_per_tool: int = 10) -> SearchResult: ...
-
-
-class JudgeHandlerProtocol(Protocol):
-    """Protocol for judge handler."""
-
-    async def assess(self, question: str, evidence: list[Evidence]) -> JudgeAssessment: ...
-
-
-class Orchestrator:
-    """
-    The agent orchestrator - runs the Search -> Judge -> Loop cycle.
-
-    This is a generator-based design that yields events for real-time UI updates.
-    """
-
-    def __init__(
-        self,
-        search_handler: SearchHandlerProtocol,
-        judge_handler: JudgeHandlerProtocol,
-        config: OrchestratorConfig | None = None,
-        enable_analysis: bool = False,
-        enable_embeddings: bool = True,
-    ):
-        """
-        Initialize the orchestrator.
-
-        Args:
-            search_handler: Handler for executing searches
-            judge_handler: Handler for assessing evidence
-            config: Optional configuration (uses defaults if not provided)
-            enable_analysis: Whether to perform statistical analysis (if Modal available)
-            enable_embeddings: Whether to use semantic search for ranking/dedup
-        """
-        self.search = search_handler
-        self.judge = judge_handler
-        self.config = config or OrchestratorConfig()
-        self.history: list[dict[str, Any]] = []
-        self._enable_analysis = enable_analysis and settings.modal_available
-        self._enable_embeddings = enable_embeddings
-
-        # Lazy-load services
-        self._analyzer: Any = None
-        self._embeddings: Any = None
-
-    def _get_analyzer(self) -> Any:
-        """Lazy initialization of StatisticalAnalyzer.
-
-        Note: This imports from src.services, NOT src.agents,
-        so it works without the magentic optional dependency.
-        """
-        if self._analyzer is None:
-            from src.services.statistical_analyzer import get_statistical_analyzer
-
-            self._analyzer = get_statistical_analyzer()
-        return self._analyzer
-
-    def _get_embeddings(self) -> Any:
-        """Lazy initialization of EmbeddingService.
-
-        Uses local sentence-transformers - NO API key required.
-        """
-        if self._embeddings is None and self._enable_embeddings:
-            try:
-                from src.services.embeddings import get_embedding_service
-
-                self._embeddings = get_embedding_service()
-                logger.info("Embedding service enabled for semantic ranking")
-            except Exception as e:
-                logger.warning("Embeddings unavailable, using basic ranking", error=str(e))
-                self._enable_embeddings = False
-        return self._embeddings
-
-    async def _deduplicate_and_rank(self, evidence: list[Evidence], query: str) -> list[Evidence]:
-        """Use embeddings to deduplicate and rank evidence by relevance."""
-        embeddings = self._get_embeddings()
-        if not embeddings or not evidence:
-            return evidence
-
-        try:
-            # Deduplicate using semantic similarity
-            unique_evidence: list[Evidence] = await embeddings.deduplicate(evidence, threshold=0.85)
-            logger.info(
-                "Deduplicated evidence",
-                before=len(evidence),
-                after=len(unique_evidence),
-            )
-            return unique_evidence
-        except Exception as e:
-            logger.warning("Deduplication failed, using original", error=str(e))
-            return evidence
-
-    async def _run_analysis_phase(
-        self, query: str, evidence: list[Evidence], iteration: int
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """Run the optional analysis phase."""
-        if not self._enable_analysis:
-            return
-
-        yield AgentEvent(
-            type="analyzing",
-            message="Running statistical analysis in Modal sandbox...",
-            data={},
-            iteration=iteration,
-        )
-
-        try:
-            analyzer = self._get_analyzer()
-
-            # Run Modal analysis (no agent_framework needed!)
-            analysis_result = await analyzer.analyze(
-                query=query,
-                evidence=evidence,
-                hypothesis=None,  # Could add hypothesis generation later
-            )
-
-            yield AgentEvent(
-                type="analysis_complete",
-                message=f"Analysis verdict: {analysis_result.verdict}",
-                data=analysis_result.model_dump(),
-                iteration=iteration,
-            )
-
-        except Exception as e:
-            logger.error("Modal analysis failed", error=str(e))
-            yield AgentEvent(
-                type="error",
-                message=f"Modal analysis failed: {e}",
-                data={"error": str(e)},
-                iteration=iteration,
-            )
-
-    async def run(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> AsyncGenerator[AgentEvent, None]:  # noqa: PLR0915
-        """
-        Run the agent loop for a query.
-
-        Yields AgentEvent objects for each step, allowing real-time UI updates.
-
-        Args:
-            query: The user's research question
-            message_history: Optional user conversation history (for compatibility)
-
-        Yields:
-            AgentEvent objects for each step of the process
-        """
-        logger.info(
-            "Starting orchestrator",
-            query=query,
-            has_history=bool(message_history),
-        )
-
-        yield AgentEvent(
-            type="started",
-            message=f"Starting research for: {query}",
-            iteration=0,
-        )
-
-        all_evidence: list[Evidence] = []
-        current_queries = [query]
-        iteration = 0
-
-        while iteration < self.config.max_iterations:
-            iteration += 1
-            logger.info("Iteration", iteration=iteration, queries=current_queries)
-
-            # === SEARCH PHASE ===
-            yield AgentEvent(
-                type="searching",
-                message=f"Searching for: {', '.join(current_queries[:3])}...",
-                iteration=iteration,
-            )
-
-            try:
-                # Execute searches for all current queries
-                search_tasks = [
-                    self.search.execute(q, self.config.max_results_per_tool)
-                    for q in current_queries[:3]  # Limit to 3 queries per iteration
-                ]
-                search_results = await asyncio.gather(*search_tasks, return_exceptions=True)
-
-                # Collect evidence from successful searches
-                new_evidence: list[Evidence] = []
-                errors: list[str] = []
-
-                for q, result in zip(current_queries[:3], search_results, strict=False):
-                    if isinstance(result, Exception):
-                        errors.append(f"Search for '{q}' failed: {result!s}")
-                    elif isinstance(result, SearchResult):
-                        new_evidence.extend(result.evidence)
-                        errors.extend(result.errors)
-                    else:
-                        # Should not happen with return_exceptions=True but safe fallback
-                        errors.append(f"Unknown result type for '{q}': {type(result)}")
-
-                # Deduplicate evidence by URL (fast, basic)
-                seen_urls = {e.citation.url for e in all_evidence}
-                unique_new = [e for e in new_evidence if e.citation.url not in seen_urls]
-                all_evidence.extend(unique_new)
-
-                # Semantic deduplication and ranking (if embeddings available)
-                all_evidence = await self._deduplicate_and_rank(all_evidence, query)
-
-                yield AgentEvent(
-                    type="search_complete",
-                    message=f"Found {len(unique_new)} new sources ({len(all_evidence)} total)",
-                    data={
-                        "new_count": len(unique_new),
-                        "total_count": len(all_evidence),
-                    },
-                    iteration=iteration,
-                )
-
-                if errors:
-                    logger.warning("Search errors", errors=errors)
-
-            except Exception as e:
-                logger.error("Search phase failed", error=str(e))
-                yield AgentEvent(
-                    type="error",
-                    message=f"Search failed: {e!s}",
-                    iteration=iteration,
-                )
-                continue
-
-            # === JUDGE PHASE ===
-            yield AgentEvent(
-                type="judging",
-                message=f"Evaluating {len(all_evidence)} sources...",
-                iteration=iteration,
-            )
-
-            try:
-                assessment = await self.judge.assess(query, all_evidence)
-
-                yield AgentEvent(
-                    type="judge_complete",
-                    message=(
-                        f"Assessment: {assessment.recommendation} "
-                        f"(confidence: {assessment.confidence:.0%})"
-                    ),
-                    data={
-                        "sufficient": assessment.sufficient,
-                        "confidence": assessment.confidence,
-                        "mechanism_score": assessment.details.mechanism_score,
-                        "clinical_score": assessment.details.clinical_evidence_score,
-                    },
-                    iteration=iteration,
-                )
-
-                # Record this iteration in history
-                self.history.append(
-                    {
-                        "iteration": iteration,
-                        "queries": current_queries,
-                        "evidence_count": len(all_evidence),
-                        "assessment": assessment.model_dump(),
-                    }
-                )
-
-                # === DECISION PHASE ===
-                if assessment.sufficient and assessment.recommendation == "synthesize":
-                    # Optional Analysis Phase
-                    async for event in self._run_analysis_phase(query, all_evidence, iteration):
-                        yield event
-
-                    yield AgentEvent(
-                        type="synthesizing",
-                        message="Evidence sufficient! Preparing synthesis...",
-                        iteration=iteration,
-                    )
-
-                    # Generate final response
-                    final_response = self._generate_synthesis(query, all_evidence, assessment)
-
-                    yield AgentEvent(
-                        type="complete",
-                        message=final_response,
-                        data={
-                            "evidence_count": len(all_evidence),
-                            "iterations": iteration,
-                            "drug_candidates": assessment.details.drug_candidates,
-                            "key_findings": assessment.details.key_findings,
-                        },
-                        iteration=iteration,
-                    )
-                    return
-
-                else:
-                    # Need more evidence - prepare next queries
-                    current_queries = assessment.next_search_queries or [
-                        f"{query} mechanism of action",
-                        f"{query} clinical evidence",
-                    ]
-
-                    yield AgentEvent(
-                        type="looping",
-                        message=(
-                            f"Need more evidence. "
-                            f"Next searches: {', '.join(current_queries[:2])}..."
-                        ),
-                        data={"next_queries": current_queries},
-                        iteration=iteration,
-                    )
-
-            except Exception as e:
-                logger.error("Judge phase failed", error=str(e))
-                yield AgentEvent(
-                    type="error",
-                    message=f"Assessment failed: {e!s}",
-                    iteration=iteration,
-                )
-                continue
-
-        # Max iterations reached
-        yield AgentEvent(
-            type="complete",
-            message=self._generate_partial_synthesis(query, all_evidence),
-            data={
-                "evidence_count": len(all_evidence),
-                "iterations": iteration,
-                "max_reached": True,
-            },
-            iteration=iteration,
-        )
-
-    def _generate_synthesis(
-        self,
-        query: str,
-        evidence: list[Evidence],
-        assessment: JudgeAssessment,
-    ) -> str:
-        """
-        Generate the final synthesis response.
-
-        Args:
-            query: The original question
-            evidence: All collected evidence
-            assessment: The final assessment
-
-        Returns:
-            Formatted synthesis as markdown
-        """
-        drug_list = (
-            "\n".join([f"- **{d}**" for d in assessment.details.drug_candidates])
-            or "- No specific candidates identified"
-        )
-        findings_list = (
-            "\n".join([f"- {f}" for f in assessment.details.key_findings]) or "- See evidence below"
-        )
-
-        citations = "\n".join(
-            [
-                f"{i + 1}. [{e.citation.title}]({e.citation.url}) "
-                f"({e.citation.source.upper()}, {e.citation.date})"
-                for i, e in enumerate(evidence[:10])  # Limit to 10 citations
-            ]
-        )
-
-        return f"""## Research Analysis
-
-### Question
-{query}
-
-### Drug Candidates
-{drug_list}
-
-### Key Findings
-{findings_list}
-
-### Assessment
-- **Mechanism Score**: {assessment.details.mechanism_score}/10
-- **Clinical Evidence Score**: {assessment.details.clinical_evidence_score}/10
-- **Confidence**: {assessment.confidence:.0%}
-
-### Reasoning
-{assessment.reasoning}
-
-### Citations ({len(evidence)} sources)
-{citations}
-
----
-*Analysis based on {len(evidence)} sources across {len(self.history)} iterations.*
-"""
-
-    def _generate_partial_synthesis(
-        self,
-        query: str,
-        evidence: list[Evidence],
-    ) -> str:
-        """
-        Generate a partial synthesis when max iterations reached.
-
-        Args:
-            query: The original question
-            evidence: All collected evidence
-
-        Returns:
-            Formatted partial synthesis as markdown
-        """
-        citations = "\n".join(
-            [
-                f"{i + 1}. [{e.citation.title}]({e.citation.url}) ({e.citation.source.upper()})"
-                for i, e in enumerate(evidence[:10])
-            ]
-        )
-
-        return f"""## Partial Analysis (Max Iterations Reached)
-
-### Question
-{query}
-
-### Status
-Maximum search iterations reached. The evidence gathered may be incomplete.
-
-### Evidence Collected
-Found {len(evidence)} sources. Consider refining your query for more specific results.
-
-### Citations
-{citations}
-
----
-*Consider searching with more specific terms or drug names.*
-"""
diff --git a/src/mcp_tools.py b/src/mcp_tools.py
deleted file mode 100644
index 7b59f9be0c47a3c9ae4ebd29f2d633202d21c8ef..0000000000000000000000000000000000000000
--- a/src/mcp_tools.py
+++ /dev/null
@@ -1,301 +0,0 @@
-"""MCP tool wrappers for The DETERMINATOR search tools.
-
-These functions expose our search tools via MCP protocol.
-Each function follows the MCP tool contract:
-- Full type hints
-- Google-style docstrings with Args section
-- Formatted string returns
-"""
-
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.tools.europepmc import EuropePMCTool
-from src.tools.pubmed import PubMedTool
-
-# Singleton instances (avoid recreating on each call)
-_pubmed = PubMedTool()
-_trials = ClinicalTrialsTool()
-_europepmc = EuropePMCTool()
-
-
-async def search_pubmed(query: str, max_results: int = 10) -> str:
-    """Search PubMed for peer-reviewed biomedical literature.
-
-    Searches NCBI PubMed database for scientific papers matching your query.
-    Returns titles, authors, abstracts, and citation information.
-
-    Args:
-        query: Search query (e.g., "metformin alzheimer", "cancer treatment mechanisms")
-        max_results: Maximum results to return (1-50, default 10)
-
-    Returns:
-        Formatted search results with paper titles, authors, dates, and abstracts
-    """
-    max_results = max(1, min(50, max_results))  # Clamp to valid range
-
-    results = await _pubmed.search(query, max_results)
-
-    if not results:
-        return f"No PubMed results found for: {query}"
-
-    formatted = [f"## PubMed Results for: {query}\n"]
-    for i, evidence in enumerate(results, 1):
-        formatted.append(f"### {i}. {evidence.citation.title}")
-        formatted.append(f"**Authors**: {', '.join(evidence.citation.authors[:3])}")
-        formatted.append(f"**Date**: {evidence.citation.date}")
-        formatted.append(f"**URL**: {evidence.citation.url}")
-        formatted.append(f"\n{evidence.content}\n")
-
-    return "\n".join(formatted)
-
-
-async def search_clinical_trials(query: str, max_results: int = 10) -> str:
-    """Search ClinicalTrials.gov for clinical trial data.
-
-    Searches the ClinicalTrials.gov database for trials matching your query.
-    Returns trial titles, phases, status, conditions, and interventions.
-
-    Args:
-        query: Search query (e.g., "metformin alzheimer", "diabetes phase 3")
-        max_results: Maximum results to return (1-50, default 10)
-
-    Returns:
-        Formatted clinical trial information with NCT IDs, phases, and status
-    """
-    max_results = max(1, min(50, max_results))
-
-    results = await _trials.search(query, max_results)
-
-    if not results:
-        return f"No clinical trials found for: {query}"
-
-    formatted = [f"## Clinical Trials for: {query}\n"]
-    for i, evidence in enumerate(results, 1):
-        formatted.append(f"### {i}. {evidence.citation.title}")
-        formatted.append(f"**URL**: {evidence.citation.url}")
-        formatted.append(f"**Date**: {evidence.citation.date}")
-        formatted.append(f"\n{evidence.content}\n")
-
-    return "\n".join(formatted)
-
-
-async def search_europepmc(query: str, max_results: int = 10) -> str:
-    """Search Europe PMC for preprints and papers.
-
-    Searches Europe PMC, which includes bioRxiv, medRxiv, and peer-reviewed content.
-    Useful for finding cutting-edge preprints and open access papers.
-
-    Args:
-        query: Search query (e.g., "metformin neuroprotection", "long covid treatment")
-        max_results: Maximum results to return (1-50, default 10)
-
-    Returns:
-        Formatted results with titles, authors, and abstracts
-    """
-    max_results = max(1, min(50, max_results))
-
-    results = await _europepmc.search(query, max_results)
-
-    if not results:
-        return f"No Europe PMC results found for: {query}"
-
-    formatted = [f"## Europe PMC Results for: {query}\n"]
-    for i, evidence in enumerate(results, 1):
-        formatted.append(f"### {i}. {evidence.citation.title}")
-        formatted.append(f"**Authors**: {', '.join(evidence.citation.authors[:3])}")
-        formatted.append(f"**Date**: {evidence.citation.date}")
-        formatted.append(f"**URL**: {evidence.citation.url}")
-        formatted.append(f"\n{evidence.content}\n")
-
-    return "\n".join(formatted)
-
-
-async def search_all_sources(query: str, max_per_source: int = 5) -> str:
-    """Search all biomedical sources simultaneously.
-
-    Performs parallel search across PubMed, ClinicalTrials.gov, and Europe PMC.
-    This is the most comprehensive search option for deep medical research inquiry.
-
-    Args:
-        query: Search query (e.g., "metformin alzheimer", "aspirin cancer prevention")
-        max_per_source: Maximum results per source (1-20, default 5)
-
-    Returns:
-        Combined results from all sources with source labels
-    """
-    import asyncio
-
-    max_per_source = max(1, min(20, max_per_source))
-
-    # Run all searches in parallel
-    pubmed_task = search_pubmed(query, max_per_source)
-    trials_task = search_clinical_trials(query, max_per_source)
-    europepmc_task = search_europepmc(query, max_per_source)
-
-    pubmed_results, trials_results, europepmc_results = await asyncio.gather(
-        pubmed_task, trials_task, europepmc_task, return_exceptions=True
-    )
-
-    formatted = [f"# Comprehensive Search: {query}\n"]
-
-    # Add each result section (handle exceptions gracefully)
-    if isinstance(pubmed_results, str):
-        formatted.append(pubmed_results)
-    else:
-        formatted.append(f"## PubMed\n*Error: {pubmed_results}*\n")
-
-    if isinstance(trials_results, str):
-        formatted.append(trials_results)
-    else:
-        formatted.append(f"## Clinical Trials\n*Error: {trials_results}*\n")
-
-    if isinstance(europepmc_results, str):
-        formatted.append(europepmc_results)
-    else:
-        formatted.append(f"## Europe PMC\n*Error: {europepmc_results}*\n")
-
-    return "\n---\n".join(formatted)
-
-
-async def analyze_hypothesis(
-    drug: str,
-    condition: str,
-    evidence_summary: str,
-) -> str:
-    """Perform statistical analysis of research hypothesis using Modal.
-
-    Executes AI-generated Python code in a secure Modal sandbox to analyze
-    the statistical evidence for a research hypothesis.
-
-    Args:
-        drug: The drug being evaluated (e.g., "metformin")
-        condition: The target condition (e.g., "Alzheimer's disease")
-        evidence_summary: Summary of evidence to analyze
-
-    Returns:
-        Analysis result with verdict (SUPPORTED/REFUTED/INCONCLUSIVE) and statistics
-    """
-    from src.services.statistical_analyzer import get_statistical_analyzer
-    from src.utils.config import settings
-    from src.utils.models import Citation, Evidence
-
-    if not settings.modal_available:
-        return "Error: Modal credentials not configured. Set MODAL_TOKEN_ID and MODAL_TOKEN_SECRET."
-
-    # Create evidence from summary
-    evidence = [
-        Evidence(
-            content=evidence_summary,
-            citation=Citation(
-                source="pubmed",
-                title=f"Evidence for {drug} in {condition}",
-                url="https://example.com",
-                date="2024-01-01",
-                authors=["User Provided"],
-            ),
-            relevance=0.9,
-        )
-    ]
-
-    analyzer = get_statistical_analyzer()
-    result = await analyzer.analyze(
-        query=f"Can {drug} treat {condition}?",
-        evidence=evidence,
-        hypothesis={"drug": drug, "target": "unknown", "pathway": "unknown", "effect": condition},
-    )
-
-    return f"""## Statistical Analysis: {drug} for {condition}
-
-### Verdict: **{result.verdict}**
-**Confidence**: {result.confidence:.0%}
-
-### Key Findings
-{chr(10).join(f"- {f}" for f in result.key_findings) or "- No specific findings extracted"}
-
-### Execution Output
-```
-{result.execution_output}
-```
-
-### Generated Code
-```python
-{result.code_generated}
-```
-
-**Executed in Modal Sandbox** - Isolated, secure, reproducible.
-"""
-
-
-async def extract_text_from_image(
-    image_path: str, model: str | None = None, hf_token: str | None = None
-) -> str:
-    """Extract text from an image using OCR.
-
-    Uses the Multimodal-OCR3 Gradio Space to extract text from images.
-    Supports various image formats (PNG, JPG, etc.) and can extract text
-    from scanned documents, screenshots, and other image types.
-
-    Args:
-        image_path: Path to image file
-        model: Optional model selection (default: None, uses API default)
-
-    Returns:
-        Extracted text from the image
-    """
-    from src.services.image_ocr import get_image_ocr_service
-    from src.utils.config import settings
-
-    try:
-        ocr_service = get_image_ocr_service()
-        # Use provided token or fallback to env vars
-        token = hf_token or settings.hf_token or settings.huggingface_api_key
-        extracted_text = await ocr_service.extract_text(image_path, model=model, hf_token=token)
-
-        if not extracted_text:
-            return f"No text found in image: {image_path}"
-
-        return f"## Extracted Text from Image\n\n{extracted_text}"
-
-    except Exception as e:
-        return f"Error extracting text from image: {e}"
-
-
-async def transcribe_audio_file(
-    audio_path: str,
-    source_lang: str | None = None,
-    target_lang: str | None = None,
-    hf_token: str | None = None,
-) -> str:
-    """Transcribe audio file to text using speech-to-text.
-
-    Uses the NVIDIA Canary Gradio Space to transcribe audio files.
-    Supports various audio formats (WAV, MP3, etc.) and multiple languages.
-
-    Args:
-        audio_path: Path to audio file
-        source_lang: Source language (default: "English")
-        target_lang: Target language (default: "English")
-
-    Returns:
-        Transcribed text from the audio file
-    """
-    from src.services.stt_gradio import get_stt_service
-    from src.utils.config import settings
-
-    try:
-        stt_service = get_stt_service()
-        # Use provided token or fallback to env vars
-        token = hf_token or settings.hf_token or settings.huggingface_api_key
-        transcribed_text = await stt_service.transcribe_file(
-            audio_path,
-            source_lang=source_lang,
-            target_lang=target_lang,
-            hf_token=token,
-        )
-
-        if not transcribed_text:
-            return f"No transcription found in audio: {audio_path}"
-
-        return f"## Audio Transcription\n\n{transcribed_text}"
-
-    except Exception as e:
-        return f"Error transcribing audio: {e}"
diff --git a/src/middleware/__init__.py b/src/middleware/__init__.py
deleted file mode 100644
index 2d296a27b28bd09955d82289397d4d889ece5b62..0000000000000000000000000000000000000000
--- a/src/middleware/__init__.py
+++ /dev/null
@@ -1,30 +0,0 @@
-"""Middleware for workflow state management, parallel loop coordination, and budget tracking.
-
-This module provides:
-- WorkflowState: Thread-safe state management using ContextVar
-- WorkflowManager: Coordination of parallel research loops
-- BudgetTracker: Token, time, and iteration budget tracking
-"""
-
-from src.middleware.budget_tracker import BudgetStatus, BudgetTracker
-from src.middleware.state_machine import (
-    WorkflowState,
-    get_workflow_state,
-    init_workflow_state,
-)
-from src.middleware.workflow_manager import (
-    LoopStatus,
-    ResearchLoop,
-    WorkflowManager,
-)
-
-__all__ = [
-    "BudgetStatus",
-    "BudgetTracker",
-    "LoopStatus",
-    "ResearchLoop",
-    "WorkflowManager",
-    "WorkflowState",
-    "get_workflow_state",
-    "init_workflow_state",
-]
diff --git a/src/middleware/budget_tracker.py b/src/middleware/budget_tracker.py
deleted file mode 100644
index 7f7c89ece57b73c3c1a526a43238480f5e65fed5..0000000000000000000000000000000000000000
--- a/src/middleware/budget_tracker.py
+++ /dev/null
@@ -1,390 +0,0 @@
-"""Budget tracking for research loops.
-
-Tracks token usage, time elapsed, and iteration counts per loop and globally.
-Enforces budget constraints to prevent infinite loops and excessive resource usage.
-"""
-
-import time
-
-import structlog
-from pydantic import BaseModel, Field
-
-logger = structlog.get_logger()
-
-
-class BudgetStatus(BaseModel):
-    """Status of a budget (tokens, time, iterations)."""
-
-    tokens_used: int = Field(default=0, description="Total tokens used")
-    tokens_limit: int = Field(default=100000, description="Token budget limit", ge=0)
-    time_elapsed_seconds: float = Field(default=0.0, description="Time elapsed", ge=0.0)
-    time_limit_seconds: float = Field(
-        default=600.0, description="Time budget limit (10 min default)", ge=0.0
-    )
-    iterations: int = Field(default=0, description="Number of iterations completed", ge=0)
-    iterations_limit: int = Field(default=10, description="Maximum iterations", ge=1)
-    iteration_tokens: dict[int, int] = Field(
-        default_factory=dict,
-        description="Tokens used per iteration (iteration number -> token count)",
-    )
-
-    def is_exceeded(self) -> bool:
-        """Check if any budget limit has been exceeded.
-
-        Returns:
-            True if any limit is exceeded, False otherwise.
-        """
-        return (
-            self.tokens_used >= self.tokens_limit
-            or self.time_elapsed_seconds >= self.time_limit_seconds
-            or self.iterations >= self.iterations_limit
-        )
-
-    def remaining_tokens(self) -> int:
-        """Get remaining token budget.
-
-        Returns:
-            Remaining tokens (may be negative if exceeded).
-        """
-        return self.tokens_limit - self.tokens_used
-
-    def remaining_time_seconds(self) -> float:
-        """Get remaining time budget.
-
-        Returns:
-            Remaining time in seconds (may be negative if exceeded).
-        """
-        return self.time_limit_seconds - self.time_elapsed_seconds
-
-    def remaining_iterations(self) -> int:
-        """Get remaining iteration budget.
-
-        Returns:
-            Remaining iterations (may be negative if exceeded).
-        """
-        return self.iterations_limit - self.iterations
-
-    def add_iteration_tokens(self, iteration: int, tokens: int) -> None:
-        """Add tokens for a specific iteration.
-
-        Args:
-            iteration: Iteration number (1-indexed).
-            tokens: Number of tokens to add.
-        """
-        if iteration not in self.iteration_tokens:
-            self.iteration_tokens[iteration] = 0
-        self.iteration_tokens[iteration] += tokens
-        # Also add to total tokens
-        self.tokens_used += tokens
-
-    def get_iteration_tokens(self, iteration: int) -> int:
-        """Get tokens used for a specific iteration.
-
-        Args:
-            iteration: Iteration number.
-
-        Returns:
-            Token count for the iteration, or 0 if not found.
-        """
-        return self.iteration_tokens.get(iteration, 0)
-
-
-class BudgetTracker:
-    """Tracks budgets per loop and globally."""
-
-    def __init__(self) -> None:
-        """Initialize the budget tracker."""
-        self._budgets: dict[str, BudgetStatus] = {}
-        self._start_times: dict[str, float] = {}
-        self._global_budget: BudgetStatus | None = None
-
-    def create_budget(
-        self,
-        loop_id: str,
-        tokens_limit: int = 100000,
-        time_limit_seconds: float = 600.0,
-        iterations_limit: int = 10,
-    ) -> BudgetStatus:
-        """Create a budget for a specific loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-            tokens_limit: Maximum tokens allowed.
-            time_limit_seconds: Maximum time allowed in seconds.
-            iterations_limit: Maximum iterations allowed.
-
-        Returns:
-            The created BudgetStatus instance.
-        """
-        budget = BudgetStatus(
-            tokens_limit=tokens_limit,
-            time_limit_seconds=time_limit_seconds,
-            iterations_limit=iterations_limit,
-        )
-        self._budgets[loop_id] = budget
-        logger.debug(
-            "Budget created",
-            loop_id=loop_id,
-            tokens_limit=tokens_limit,
-            time_limit=time_limit_seconds,
-            iterations_limit=iterations_limit,
-        )
-        return budget
-
-    def get_budget(self, loop_id: str) -> BudgetStatus | None:
-        """Get the budget for a specific loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-
-        Returns:
-            The BudgetStatus instance, or None if not found.
-        """
-        return self._budgets.get(loop_id)
-
-    def add_tokens(self, loop_id: str, tokens: int) -> None:
-        """Add tokens to a loop's budget.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-            tokens: Number of tokens to add (can be negative).
-        """
-        if loop_id not in self._budgets:
-            logger.warning("Budget not found for loop", loop_id=loop_id)
-            return
-        self._budgets[loop_id].tokens_used += tokens
-        logger.debug("Tokens added", loop_id=loop_id, tokens=tokens)
-
-    def add_iteration_tokens(self, loop_id: str, iteration: int, tokens: int) -> None:
-        """Add tokens for a specific iteration.
-
-        Args:
-            loop_id: Loop identifier.
-            iteration: Iteration number (1-indexed).
-            tokens: Number of tokens to add.
-        """
-        if loop_id not in self._budgets:
-            logger.warning("Budget not found for loop", loop_id=loop_id)
-            return
-
-        budget = self._budgets[loop_id]
-        budget.add_iteration_tokens(iteration, tokens)
-
-        logger.debug(
-            "Iteration tokens added",
-            loop_id=loop_id,
-            iteration=iteration,
-            tokens=tokens,
-            total_iteration=budget.get_iteration_tokens(iteration),
-        )
-
-    def get_iteration_tokens(self, loop_id: str, iteration: int) -> int:
-        """Get tokens used for a specific iteration.
-
-        Args:
-            loop_id: Loop identifier.
-            iteration: Iteration number.
-
-        Returns:
-            Token count for the iteration, or 0 if not found.
-        """
-        if loop_id not in self._budgets:
-            return 0
-
-        return self._budgets[loop_id].get_iteration_tokens(iteration)
-
-    def start_timer(self, loop_id: str) -> None:
-        """Start the timer for a loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        self._start_times[loop_id] = time.time()
-        logger.debug("Timer started", loop_id=loop_id)
-
-    def update_timer(self, loop_id: str) -> None:
-        """Update the elapsed time for a loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        if loop_id not in self._start_times:
-            logger.warning("Timer not started for loop", loop_id=loop_id)
-            return
-        if loop_id not in self._budgets:
-            logger.warning("Budget not found for loop", loop_id=loop_id)
-            return
-
-        elapsed = time.time() - self._start_times[loop_id]
-        self._budgets[loop_id].time_elapsed_seconds = elapsed
-        logger.debug("Timer updated", loop_id=loop_id, elapsed=elapsed)
-
-    def increment_iteration(self, loop_id: str) -> None:
-        """Increment the iteration count for a loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        if loop_id not in self._budgets:
-            logger.warning("Budget not found for loop", loop_id=loop_id)
-            return
-        self._budgets[loop_id].iterations += 1
-        logger.debug(
-            "Iteration incremented",
-            loop_id=loop_id,
-            iterations=self._budgets[loop_id].iterations,
-        )
-
-    def check_budget(self, loop_id: str) -> tuple[bool, str]:
-        """Check if a loop's budget has been exceeded.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-
-        Returns:
-            Tuple of (exceeded: bool, reason: str). Reason is empty if not exceeded.
-        """
-        if loop_id not in self._budgets:
-            return False, ""
-
-        budget = self._budgets[loop_id]
-        self.update_timer(loop_id)  # Update time before checking
-
-        if budget.is_exceeded():
-            reasons = []
-            if budget.tokens_used >= budget.tokens_limit:
-                reasons.append("tokens")
-            if budget.time_elapsed_seconds >= budget.time_limit_seconds:
-                reasons.append("time")
-            if budget.iterations >= budget.iterations_limit:
-                reasons.append("iterations")
-            reason = f"Budget exceeded: {', '.join(reasons)}"
-            logger.warning("Budget exceeded", loop_id=loop_id, reason=reason)
-            return True, reason
-
-        return False, ""
-
-    def can_continue(self, loop_id: str) -> bool:
-        """Check if a loop can continue based on budget.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-
-        Returns:
-            True if the loop can continue, False if budget is exceeded.
-        """
-        exceeded, _ = self.check_budget(loop_id)
-        return not exceeded
-
-    def get_budget_summary(self, loop_id: str) -> str:
-        """Get a formatted summary of a loop's budget status.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-
-        Returns:
-            Formatted string summary.
-        """
-        if loop_id not in self._budgets:
-            return f"Budget not found for loop: {loop_id}"
-
-        budget = self._budgets[loop_id]
-        self.update_timer(loop_id)
-
-        return (
-            f"Loop {loop_id}: "
-            f"Tokens: {budget.tokens_used}/{budget.tokens_limit} "
-            f"({budget.remaining_tokens()} remaining), "
-            f"Time: {budget.time_elapsed_seconds:.1f}/{budget.time_limit_seconds:.1f}s "
-            f"({budget.remaining_time_seconds():.1f}s remaining), "
-            f"Iterations: {budget.iterations}/{budget.iterations_limit} "
-            f"({budget.remaining_iterations()} remaining)"
-        )
-
-    def reset_budget(self, loop_id: str) -> None:
-        """Reset the budget for a loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        if loop_id in self._budgets:
-            old_budget = self._budgets[loop_id]
-            # Preserve iteration_tokens when resetting
-            old_iteration_tokens = old_budget.iteration_tokens
-            self._budgets[loop_id] = BudgetStatus(
-                tokens_limit=old_budget.tokens_limit,
-                time_limit_seconds=old_budget.time_limit_seconds,
-                iterations_limit=old_budget.iterations_limit,
-                iteration_tokens=old_iteration_tokens,  # Restore old iteration tokens
-            )
-            if loop_id in self._start_times:
-                self._start_times[loop_id] = time.time()
-            logger.debug("Budget reset", loop_id=loop_id)
-
-    def set_global_budget(
-        self,
-        tokens_limit: int = 100000,
-        time_limit_seconds: float = 600.0,
-        iterations_limit: int = 10,
-    ) -> None:
-        """Set a global budget that applies to all loops.
-
-        Args:
-            tokens_limit: Maximum tokens allowed globally.
-            time_limit_seconds: Maximum time allowed in seconds.
-            iterations_limit: Maximum iterations allowed globally.
-        """
-        self._global_budget = BudgetStatus(
-            tokens_limit=tokens_limit,
-            time_limit_seconds=time_limit_seconds,
-            iterations_limit=iterations_limit,
-        )
-        logger.debug(
-            "Global budget set",
-            tokens_limit=tokens_limit,
-            time_limit=time_limit_seconds,
-            iterations_limit=iterations_limit,
-        )
-
-    def get_global_budget(self) -> BudgetStatus | None:
-        """Get the global budget.
-
-        Returns:
-            The global BudgetStatus instance, or None if not set.
-        """
-        return self._global_budget
-
-    def add_global_tokens(self, tokens: int) -> None:
-        """Add tokens to the global budget.
-
-        Args:
-            tokens: Number of tokens to add (can be negative).
-        """
-        if self._global_budget is None:
-            logger.warning("Global budget not set")
-            return
-        self._global_budget.tokens_used += tokens
-        logger.debug("Global tokens added", tokens=tokens)
-
-    def estimate_tokens(self, text: str) -> int:
-        """Estimate token count from text (rough estimate: ~4 chars per token).
-
-        Args:
-            text: Text to estimate tokens for.
-
-        Returns:
-            Estimated token count.
-        """
-        return len(text) // 4
-
-    def estimate_llm_call_tokens(self, prompt: str, response: str) -> int:
-        """Estimate token count for an LLM call.
-
-        Args:
-            prompt: The prompt text.
-            response: The response text.
-
-        Returns:
-            Estimated total token count (prompt + response).
-        """
-        return self.estimate_tokens(prompt) + self.estimate_tokens(response)
diff --git a/src/middleware/state_machine.py b/src/middleware/state_machine.py
deleted file mode 100644
index ccd80fc8c6ba761ea3669d52de8b190078b7969d..0000000000000000000000000000000000000000
--- a/src/middleware/state_machine.py
+++ /dev/null
@@ -1,171 +0,0 @@
-"""Thread-safe state management for workflow agents.
-
-Uses contextvars to ensure isolation between concurrent requests (e.g., multiple users
-searching simultaneously via Gradio). Refactored from MagenticState to support both
-iterative and deep research patterns.
-"""
-
-from contextvars import ContextVar
-from typing import TYPE_CHECKING, Any
-
-import structlog
-from pydantic import BaseModel, Field
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.utils.models import Citation, Conversation, Evidence
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-logger = structlog.get_logger()
-
-
-class WorkflowState(BaseModel):
-    """Mutable state for a workflow session.
-
-    Supports both iterative and deep research patterns by tracking evidence,
-    conversation history, and providing semantic search capabilities.
-    """
-
-    evidence: list[Evidence] = Field(default_factory=list)
-    conversation: Conversation = Field(default_factory=Conversation)
-    user_message_history: list[ModelMessage] = Field(
-        default_factory=list,
-        description="User conversation history (multi-turn interactions)",
-    )
-    # Type as Any to avoid circular imports/runtime resolution issues
-    # The actual object injected will be an EmbeddingService instance
-    embedding_service: Any = Field(default=None)
-
-    model_config = {"arbitrary_types_allowed": True}
-
-    def add_evidence(self, new_evidence: list[Evidence]) -> int:
-        """Add new evidence, deduplicating by URL.
-
-        Args:
-            new_evidence: List of Evidence objects to add.
-
-        Returns:
-            Number of *new* items added (excluding duplicates).
-        """
-        existing_urls = {e.citation.url for e in self.evidence}
-        count = 0
-        for item in new_evidence:
-            if item.citation.url not in existing_urls:
-                self.evidence.append(item)
-                existing_urls.add(item.citation.url)
-                count += 1
-        return count
-
-    async def search_related(self, query: str, n_results: int = 5) -> list[Evidence]:
-        """Search for semantically related evidence using the embedding service.
-
-        Args:
-            query: Search query string.
-            n_results: Maximum number of results to return.
-
-        Returns:
-            List of Evidence objects, ordered by relevance.
-        """
-        if not self.embedding_service:
-            logger.warning("Embedding service not available, returning empty results")
-            return []
-
-        results = await self.embedding_service.search_similar(query, n_results=n_results)
-
-        # Convert dict results back to Evidence objects
-        evidence_list = []
-        for item in results:
-            meta = item.get("metadata", {})
-            authors_str = meta.get("authors", "")
-            authors = [a.strip() for a in authors_str.split(",") if a.strip()]
-
-            ev = Evidence(
-                content=item["content"],
-                citation=Citation(
-                    title=meta.get("title", "Related Evidence"),
-                    url=item["id"],
-                    source="pubmed",  # Defaulting to pubmed if unknown
-                    date=meta.get("date", "n.d."),
-                    authors=authors,
-                ),
-                relevance=max(0.0, 1.0 - item.get("distance", 0.5)),
-            )
-            evidence_list.append(ev)
-
-        return evidence_list
-
-    def add_user_message(self, message: ModelMessage) -> None:
-        """Add a user message to conversation history.
-
-        Args:
-            message: Message to add
-        """
-        self.user_message_history.append(message)
-
-    def get_user_history(self, max_messages: int | None = None) -> list[ModelMessage]:
-        """Get user conversation history.
-
-        Args:
-            max_messages: Maximum messages to return (None for all)
-
-        Returns:
-            List of messages
-        """
-        if max_messages is None:
-            return self.user_message_history.copy()
-        return (
-            self.user_message_history[-max_messages:]
-            if len(self.user_message_history) > max_messages
-            else self.user_message_history.copy()
-        )
-
-
-# The ContextVar holds the WorkflowState for the current execution context
-_workflow_state_var: ContextVar[WorkflowState | None] = ContextVar("workflow_state", default=None)
-
-
-def init_workflow_state(
-    embedding_service: "EmbeddingService | None" = None,
-    message_history: list[ModelMessage] | None = None,
-) -> WorkflowState:
-    """Initialize a new state for the current context.
-
-    Args:
-        embedding_service: Optional embedding service for semantic search.
-        message_history: Optional user conversation history.
-
-    Returns:
-        The initialized WorkflowState instance.
-    """
-    state = WorkflowState(embedding_service=embedding_service)
-    if message_history:
-        state.user_message_history = message_history.copy()
-    _workflow_state_var.set(state)
-    logger.debug(
-        "Workflow state initialized",
-        has_embeddings=embedding_service is not None,
-        has_history=bool(message_history),
-    )
-    return state
-
-
-def get_workflow_state() -> WorkflowState:
-    """Get the current state. Auto-initializes if not set.
-
-    Returns:
-        The current WorkflowState instance.
-
-    Raises:
-        RuntimeError: If state is not initialized and auto-initialization fails.
-    """
-    state = _workflow_state_var.get()
-    if state is None:
-        # Auto-initialize if missing (e.g. during tests or simple scripts)
-        logger.debug("Workflow state not found, auto-initializing")
-        return init_workflow_state()
-    return state
diff --git a/src/middleware/sub_iteration.py b/src/middleware/sub_iteration.py
deleted file mode 100644
index 801a3686a6d023c39615d01548766e4c24098c66..0000000000000000000000000000000000000000
--- a/src/middleware/sub_iteration.py
+++ /dev/null
@@ -1,135 +0,0 @@
-"""Middleware for orchestrating sub-iterations with research teams and judges."""
-
-from typing import Any, Protocol
-
-import structlog
-
-from src.utils.models import AgentEvent, JudgeAssessment
-
-logger = structlog.get_logger()
-
-
-class SubIterationTeam(Protocol):
-    """Protocol for a research team that executes a sub-task."""
-
-    async def execute(self, task: str) -> Any:
-        """Execute the sub-task and return a result."""
-        ...
-
-
-class SubIterationJudge(Protocol):
-    """Protocol for a judge that evaluates the sub-task result."""
-
-    async def assess(self, task: str, result: Any, history: list[Any]) -> JudgeAssessment:
-        """Assess the quality of the result."""
-        ...
-
-
-class SubIterationMiddleware:
-    """
-    Middleware that manages a sub-iteration loop:
-    1. Orchestrator delegates to a Research Team.
-    2. Research Team produces a result.
-    3. Judge evaluates the result.
-    4. Loop continues until Judge approves or max iterations reached.
-    """
-
-    def __init__(
-        self,
-        team: SubIterationTeam,
-        judge: SubIterationJudge,
-        max_iterations: int = 3,
-    ):
-        self.team = team
-        self.judge = judge
-        self.max_iterations = max_iterations
-
-    async def run(
-        self,
-        task: str,
-        event_callback: Any = None,  # Optional callback for streaming events
-    ) -> tuple[Any, JudgeAssessment | None]:
-        """
-        Run the sub-iteration loop.
-
-        Args:
-            task: The research task or question.
-            event_callback: Async callable to report events (e.g. to UI).
-
-        Returns:
-            Tuple of (best_result, final_assessment).
-        """
-        history: list[Any] = []
-        best_result: Any = None
-        final_assessment: JudgeAssessment | None = None
-
-        for i in range(1, self.max_iterations + 1):
-            logger.info("Sub-iteration starting", iteration=i, task=task)
-
-            if event_callback:
-                await event_callback(
-                    AgentEvent(
-                        type="looping",
-                        message=f"Sub-iteration {i}: Executing task...",
-                        iteration=i,
-                    )
-                )
-
-            # 1. Team Execution
-            try:
-                result = await self.team.execute(task)
-                history.append(result)
-                best_result = result  # Assume latest is best for now
-            except Exception as e:
-                logger.error("Sub-iteration execution failed", error=str(e))
-                if event_callback:
-                    await event_callback(
-                        AgentEvent(
-                            type="error",
-                            message=f"Sub-iteration execution failed: {e}",
-                            iteration=i,
-                        )
-                    )
-                return best_result, final_assessment
-
-            # 2. Judge Assessment
-            try:
-                assessment = await self.judge.assess(task, result, history)
-                final_assessment = assessment
-            except Exception as e:
-                logger.error("Sub-iteration judge failed", error=str(e))
-                if event_callback:
-                    await event_callback(
-                        AgentEvent(
-                            type="error",
-                            message=f"Sub-iteration judge failed: {e}",
-                            iteration=i,
-                        )
-                    )
-                return best_result, final_assessment
-
-            # 3. Decision
-            if assessment.sufficient:
-                logger.info("Sub-iteration sufficient", iteration=i)
-                return best_result, assessment
-
-            # If not sufficient, we might refine the task for the next iteration
-            # For this implementation, we assume the team is smart enough or the task stays same
-            # but we could append feedback to the task.
-
-            feedback = assessment.reasoning
-            logger.info("Sub-iteration insufficient", feedback=feedback)
-
-            if event_callback:
-                await event_callback(
-                    AgentEvent(
-                        type="looping",
-                        message=(
-                            f"Sub-iteration {i} result insufficient. Feedback: {feedback[:100]}..."
-                        ),
-                        iteration=i,
-                    )
-                )
-
-        logger.warning("Sub-iteration max iterations reached", task=task)
-        return best_result, final_assessment
diff --git a/src/middleware/workflow_manager.py b/src/middleware/workflow_manager.py
deleted file mode 100644
index b817cbf27a49fd19b4ad682416eae61cf4d90a1d..0000000000000000000000000000000000000000
--- a/src/middleware/workflow_manager.py
+++ /dev/null
@@ -1,322 +0,0 @@
-"""Workflow manager for coordinating parallel research loops.
-
-Manages multiple research loops running in parallel, tracks their status,
-and synchronizes evidence between loops and the global state.
-"""
-
-import asyncio
-from collections.abc import Callable
-from typing import Any, Literal
-
-import structlog
-from pydantic import BaseModel, Field
-
-from src.middleware.state_machine import get_workflow_state
-from src.utils.models import Evidence
-
-logger = structlog.get_logger()
-
-LoopStatus = Literal["pending", "running", "completed", "failed", "cancelled"]
-
-
-class ResearchLoop(BaseModel):
-    """Represents a single research loop."""
-
-    loop_id: str = Field(description="Unique identifier for the loop")
-    query: str = Field(description="The research query for this loop")
-    status: LoopStatus = Field(default="pending")
-    evidence: list[Evidence] = Field(default_factory=list)
-    iteration_count: int = Field(default=0, ge=0)
-    error: str | None = Field(default=None)
-
-    model_config = {"frozen": False}  # Mutable for status updates
-
-
-class WorkflowManager:
-    """Manages parallel research loops and state synchronization."""
-
-    def __init__(self) -> None:
-        """Initialize the workflow manager."""
-        self._loops: dict[str, ResearchLoop] = {}
-
-    async def add_loop(self, loop_id: str, query: str) -> ResearchLoop:
-        """Add a new research loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-            query: The research query for this loop.
-
-        Returns:
-            The created ResearchLoop instance.
-        """
-        loop = ResearchLoop(loop_id=loop_id, query=query, status="pending")
-        self._loops[loop_id] = loop
-        logger.info("Loop added", loop_id=loop_id, query=query)
-        return loop
-
-    async def get_loop(self, loop_id: str) -> ResearchLoop | None:
-        """Get a research loop by ID.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-
-        Returns:
-            The ResearchLoop instance, or None if not found.
-        """
-        return self._loops.get(loop_id)
-
-    async def update_loop_status(
-        self, loop_id: str, status: LoopStatus, error: str | None = None
-    ) -> None:
-        """Update the status of a research loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-            status: New status for the loop.
-            error: Optional error message if status is "failed".
-        """
-        if loop_id not in self._loops:
-            logger.warning("Loop not found", loop_id=loop_id)
-            return
-
-        self._loops[loop_id].status = status
-        if error:
-            self._loops[loop_id].error = error
-        logger.info("Loop status updated", loop_id=loop_id, status=status)
-
-    async def add_loop_evidence(self, loop_id: str, evidence: list[Evidence]) -> None:
-        """Add evidence to a research loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-            evidence: List of Evidence objects to add.
-        """
-        if loop_id not in self._loops:
-            logger.warning("Loop not found", loop_id=loop_id)
-            return
-
-        self._loops[loop_id].evidence.extend(evidence)
-        logger.debug(
-            "Evidence added to loop",
-            loop_id=loop_id,
-            evidence_count=len(evidence),
-        )
-
-    async def increment_loop_iteration(self, loop_id: str) -> None:
-        """Increment the iteration count for a research loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        if loop_id not in self._loops:
-            logger.warning("Loop not found", loop_id=loop_id)
-            return
-
-        self._loops[loop_id].iteration_count += 1
-        logger.debug(
-            "Iteration incremented",
-            loop_id=loop_id,
-            iteration=self._loops[loop_id].iteration_count,
-        )
-
-    async def run_loops_parallel(
-        self,
-        loop_configs: list[dict[str, Any]],
-        loop_func: Callable[[dict[str, Any]], Any],
-        judge_handler: Any | None = None,
-        budget_tracker: Any | None = None,
-    ) -> list[Any]:
-        """Run multiple research loops in parallel.
-
-        Args:
-            loop_configs: List of configuration dicts, each must contain 'loop_id' and 'query'.
-            loop_func: Async function that takes a config dict and returns loop results.
-            judge_handler: Optional JudgeHandler for early termination based on evidence sufficiency.
-            budget_tracker: Optional BudgetTracker for budget enforcement.
-
-        Returns:
-            List of results from each loop (in order of completion, not original order).
-        """
-        logger.info("Starting parallel loops", loop_count=len(loop_configs))
-
-        # Create loops
-        for config in loop_configs:
-            loop_id = config.get("loop_id")
-            query = config.get("query", "")
-            if loop_id:
-                await self.add_loop(loop_id, query)
-                await self.update_loop_status(loop_id, "running")
-
-        # Run loops in parallel
-        async def run_single_loop(config: dict[str, Any]) -> Any:
-            loop_id = config.get("loop_id", "unknown")
-            query = config.get("query", "")
-            try:
-                # Check budget before starting
-                if budget_tracker:
-                    exceeded, reason = budget_tracker.check_budget(loop_id)
-                    if exceeded:
-                        await self.update_loop_status(loop_id, "cancelled", error=reason)
-                        logger.warning(
-                            "Loop cancelled due to budget", loop_id=loop_id, reason=reason
-                        )
-                        return None
-
-                # If loop_func supports periodic checkpoints, we could check judge here
-                # For now, the loop_func itself handles judge checks internally
-                result = await loop_func(config)
-
-                # Final check with judge if available
-                if judge_handler and query:
-                    should_complete, reason = await self.check_loop_completion(
-                        loop_id, query, judge_handler
-                    )
-                    if should_complete:
-                        logger.info(
-                            "Loop completed early based on judge assessment",
-                            loop_id=loop_id,
-                            reason=reason,
-                        )
-
-                await self.update_loop_status(loop_id, "completed")
-                return result
-            except Exception as e:
-                error_msg = str(e)
-                await self.update_loop_status(loop_id, "failed", error=error_msg)
-                logger.error("Loop failed", loop_id=loop_id, error=error_msg)
-                raise
-
-        results = await asyncio.gather(
-            *(run_single_loop(config) for config in loop_configs),
-            return_exceptions=True,
-        )
-
-        # Log completion
-        completed = sum(1 for r in results if not isinstance(r, Exception))
-        failed = len(results) - completed
-        logger.info(
-            "Parallel loops completed",
-            total=len(loop_configs),
-            completed=completed,
-            failed=failed,
-        )
-
-        return results
-
-    async def wait_for_loops(
-        self, loop_ids: list[str], timeout: float | None = None
-    ) -> list[ResearchLoop]:
-        """Wait for loops to complete.
-
-        Args:
-            loop_ids: List of loop IDs to wait for.
-            timeout: Optional timeout in seconds.
-
-        Returns:
-            List of ResearchLoop instances (may be incomplete if timeout occurs).
-        """
-        start_time = asyncio.get_event_loop().time()
-
-        while True:
-            loops = [self._loops.get(loop_id) for loop_id in loop_ids]
-            all_complete = all(
-                loop and loop.status in ("completed", "failed", "cancelled") for loop in loops
-            )
-
-            if all_complete:
-                return [loop for loop in loops if loop is not None]
-
-            if timeout is not None:
-                elapsed = asyncio.get_event_loop().time() - start_time
-                if elapsed >= timeout:
-                    logger.warning("Timeout waiting for loops", timeout=timeout)
-                    return [loop for loop in loops if loop is not None]
-
-            await asyncio.sleep(0.1)  # Small delay to avoid busy waiting
-
-    async def cancel_loop(self, loop_id: str) -> None:
-        """Cancel a research loop.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        await self.update_loop_status(loop_id, "cancelled")
-        logger.info("Loop cancelled", loop_id=loop_id)
-
-    async def get_all_loops(self) -> list[ResearchLoop]:
-        """Get all research loops.
-
-        Returns:
-            List of all ResearchLoop instances.
-        """
-        return list(self._loops.values())
-
-    async def sync_loop_evidence_to_state(self, loop_id: str) -> None:
-        """Synchronize evidence from a loop to the global state.
-
-        Args:
-            loop_id: Unique identifier for the loop.
-        """
-        if loop_id not in self._loops:
-            logger.warning("Loop not found", loop_id=loop_id)
-            return
-
-        loop = self._loops[loop_id]
-        state = get_workflow_state()
-        added_count = state.add_evidence(loop.evidence)
-        logger.debug(
-            "Loop evidence synced to state",
-            loop_id=loop_id,
-            evidence_count=len(loop.evidence),
-            added_count=added_count,
-        )
-
-    async def get_shared_evidence(self) -> list[Evidence]:
-        """Get evidence from the global state.
-
-        Returns:
-            List of Evidence objects from the global state.
-        """
-        state = get_workflow_state()
-        return state.evidence
-
-    async def get_loop_evidence(self, loop_id: str) -> list[Evidence]:
-        """Get evidence collected by a specific loop.
-
-        Args:
-            loop_id: Loop identifier.
-
-        Returns:
-            List of Evidence objects from the loop.
-        """
-        if loop_id not in self._loops:
-            return []
-
-        return self._loops[loop_id].evidence
-
-    async def check_loop_completion(
-        self, loop_id: str, query: str, judge_handler: Any
-    ) -> tuple[bool, str]:
-        """Check if a loop should complete using judge assessment.
-
-        Args:
-            loop_id: Loop identifier.
-            query: Research query.
-            judge_handler: JudgeHandler instance.
-
-        Returns:
-            Tuple of (should_complete: bool, reason: str).
-        """
-        evidence = await self.get_loop_evidence(loop_id)
-
-        if not evidence:
-            return False, "No evidence collected yet"
-
-        try:
-            assessment = await judge_handler.assess(query, evidence)
-            if assessment.sufficient:
-                return True, f"Judge assessment: {assessment.reasoning}"
-            return False, f"Judge assessment: {assessment.reasoning}"
-        except Exception as e:
-            logger.error("Judge assessment failed", error=str(e), loop_id=loop_id)
-            return False, f"Judge assessment failed: {e!s}"
diff --git a/src/__init__.py b/src/orchestrator.py
similarity index 100%
rename from src/__init__.py
rename to src/orchestrator.py
diff --git a/src/orchestrator/__init__.py b/src/orchestrator/__init__.py
deleted file mode 100644
index e71f737ab54ccc3391d909d170f6938ac0a9836b..0000000000000000000000000000000000000000
--- a/src/orchestrator/__init__.py
+++ /dev/null
@@ -1,48 +0,0 @@
-"""Orchestrator module for research flows and planner agent.
-
-This module provides:
-- PlannerAgent: Creates report plans with sections
-- IterativeResearchFlow: Single research loop pattern
-- DeepResearchFlow: Parallel research loops pattern
-- GraphOrchestrator: Stub for Phase 4 (uses agent chains for now)
-- Protocols: SearchHandlerProtocol, JudgeHandlerProtocol (re-exported from legacy_orchestrator)
-- Orchestrator: Legacy orchestrator class (re-exported from legacy_orchestrator)
-"""
-
-from typing import TYPE_CHECKING
-
-# Re-export protocols and Orchestrator from legacy_orchestrator for backward compatibility
-from src.legacy_orchestrator import (
-    JudgeHandlerProtocol,
-    Orchestrator,
-    SearchHandlerProtocol,
-)
-
-# Lazy imports to avoid circular dependencies
-if TYPE_CHECKING:
-    from src.orchestrator.graph_orchestrator import GraphOrchestrator
-    from src.orchestrator.planner_agent import PlannerAgent, create_planner_agent
-    from src.orchestrator.research_flow import (
-        DeepResearchFlow,
-        IterativeResearchFlow,
-    )
-
-# Public exports
-from src.orchestrator.graph_orchestrator import (
-    GraphOrchestrator,
-    create_graph_orchestrator,
-)
-from src.orchestrator.planner_agent import PlannerAgent, create_planner_agent
-from src.orchestrator.research_flow import DeepResearchFlow, IterativeResearchFlow
-
-__all__ = [
-    "DeepResearchFlow",
-    "GraphOrchestrator",
-    "IterativeResearchFlow",
-    "JudgeHandlerProtocol",
-    "Orchestrator",
-    "PlannerAgent",
-    "SearchHandlerProtocol",
-    "create_graph_orchestrator",
-    "create_planner_agent",
-]
diff --git a/src/orchestrator/graph_orchestrator.py b/src/orchestrator/graph_orchestrator.py
deleted file mode 100644
index d71a337dde1929301a70217f99e560c5413e34fc..0000000000000000000000000000000000000000
--- a/src/orchestrator/graph_orchestrator.py
+++ /dev/null
@@ -1,1751 +0,0 @@
-"""Graph orchestrator for Phase 4.
-
-Implements graph-based orchestration using Pydantic AI agents as nodes.
-Supports both iterative and deep research patterns with parallel execution.
-"""
-
-import asyncio
-from collections.abc import AsyncGenerator, Callable
-from typing import TYPE_CHECKING, Any, Literal
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agent_factory.agents import (
-    create_input_parser_agent,
-    create_knowledge_gap_agent,
-    create_long_writer_agent,
-    create_planner_agent,
-    create_thinking_agent,
-    create_tool_selector_agent,
-    create_writer_agent,
-)
-from src.agent_factory.graph_builder import (
-    AgentNode,
-    DecisionNode,
-    ParallelNode,
-    ResearchGraph,
-    StateNode,
-    create_deep_graph,
-    create_iterative_graph,
-)
-from src.legacy_orchestrator import JudgeHandlerProtocol, SearchHandlerProtocol
-from src.middleware.budget_tracker import BudgetTracker
-from src.middleware.state_machine import WorkflowState, init_workflow_state
-from src.orchestrator.research_flow import DeepResearchFlow, IterativeResearchFlow
-from src.services.report_file_service import ReportFileService, get_report_file_service
-from src.utils.models import AgentEvent
-
-if TYPE_CHECKING:
-    pass
-
-logger = structlog.get_logger()
-
-
-class GraphExecutionContext:
-    """Context for managing graph execution state."""
-
-    def __init__(
-        self,
-        state: WorkflowState,
-        budget_tracker: BudgetTracker,
-        message_history: list[ModelMessage] | None = None,
-    ) -> None:
-        """Initialize execution context.
-
-        Args:
-            state: Current workflow state
-            budget_tracker: Budget tracker instance
-            message_history: Optional user conversation history
-        """
-        self.current_node: str = ""
-        self.visited_nodes: set[str] = set()
-        self.node_results: dict[str, Any] = {}
-        self.state = state
-        self.budget_tracker = budget_tracker
-        self.iteration_count = 0
-        self.message_history: list[ModelMessage] = message_history or []
-
-    def set_node_result(self, node_id: str, result: Any) -> None:
-        """Store result from node execution.
-
-        Args:
-            node_id: The node ID
-            result: The execution result
-        """
-        self.node_results[node_id] = result
-
-    def get_node_result(self, node_id: str) -> Any:
-        """Get result from node execution.
-
-        Args:
-            node_id: The node ID
-
-        Returns:
-            The stored result, or None if not found
-        """
-        return self.node_results.get(node_id)
-
-    def has_visited(self, node_id: str) -> bool:
-        """Check if node was visited.
-
-        Args:
-            node_id: The node ID
-
-        Returns:
-            True if visited, False otherwise
-        """
-        return node_id in self.visited_nodes
-
-    def mark_visited(self, node_id: str) -> None:
-        """Mark node as visited.
-
-        Args:
-            node_id: The node ID
-        """
-        self.visited_nodes.add(node_id)
-
-    def update_state(
-        self, updater: Callable[[WorkflowState, Any], WorkflowState], data: Any
-    ) -> None:
-        """Update workflow state.
-
-        Args:
-            updater: Function to update state
-            data: Data to pass to updater
-        """
-        self.state = updater(self.state, data)
-
-    def add_message(self, message: ModelMessage) -> None:
-        """Add a message to the history.
-
-        Args:
-            message: Message to add
-        """
-        self.message_history.append(message)
-
-    def get_message_history(self, max_messages: int | None = None) -> list[ModelMessage]:
-        """Get message history, optionally truncated.
-
-        Args:
-            max_messages: Maximum messages to return (None for all)
-
-        Returns:
-            List of messages
-        """
-        if max_messages is None:
-            return self.message_history.copy()
-        return (
-            self.message_history[-max_messages:]
-            if len(self.message_history) > max_messages
-            else self.message_history.copy()
-        )
-
-
-class GraphOrchestrator:
-    """
-    Graph orchestrator using Pydantic AI Graphs.
-
-    Executes research workflows as graphs with nodes (agents) and edges (transitions).
-    Supports parallel execution, conditional routing, and state management.
-    """
-
-    def __init__(
-        self,
-        mode: Literal["iterative", "deep", "auto"] = "auto",
-        max_iterations: int = 5,
-        max_time_minutes: int = 10,
-        use_graph: bool = True,
-        search_handler: SearchHandlerProtocol | None = None,
-        judge_handler: JudgeHandlerProtocol | None = None,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize graph orchestrator.
-
-        Args:
-            mode: Research mode ("iterative", "deep", or "auto" to detect)
-            max_iterations: Maximum iterations per loop
-            max_time_minutes: Maximum time per loop
-            use_graph: Whether to use graph execution (True) or agent chains (False)
-            search_handler: Optional search handler for tool execution
-            judge_handler: Optional judge handler for evidence assessment
-            oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        """
-        self.mode = mode
-        self.max_iterations = max_iterations
-        self.max_time_minutes = max_time_minutes
-        self.use_graph = use_graph
-        self.search_handler = search_handler
-        self.judge_handler = judge_handler
-        self.oauth_token = oauth_token
-        self.logger = logger
-
-        # Initialize file service (lazy if not provided)
-        self._file_service: ReportFileService | None = None
-
-        # Initialize flows (for backward compatibility)
-        self._iterative_flow: IterativeResearchFlow | None = None
-        self._deep_flow: DeepResearchFlow | None = None
-
-        # Graph execution components (lazy initialization)
-        self._graph: ResearchGraph | None = None
-        self._budget_tracker: BudgetTracker | None = None
-
-    def _get_file_service(self) -> ReportFileService | None:
-        """
-        Get file service instance (lazy initialization).
-
-        Returns:
-            ReportFileService instance or None if disabled
-        """
-        if self._file_service is None:
-            try:
-                self._file_service = get_report_file_service()
-            except Exception as e:
-                self.logger.warning("Failed to initialize file service", error=str(e))
-                return None
-        return self._file_service
-
-    async def run(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """
-        Run the research workflow.
-
-        Args:
-            query: The user's research query
-            message_history: Optional user conversation history
-
-        Yields:
-            AgentEvent objects for real-time UI updates
-        """
-        self.logger.info(
-            "Starting graph orchestrator",
-            query=query[:100],
-            mode=self.mode,
-            use_graph=self.use_graph,
-            has_history=bool(message_history),
-        )
-
-        yield AgentEvent(
-            type="started",
-            message=f"Starting research ({self.mode} mode): {query}",
-            iteration=0,
-        )
-
-        try:
-            # Determine research mode
-            research_mode = self.mode
-            if research_mode == "auto":
-                research_mode = await self._detect_research_mode(query)
-
-            # Use graph execution if enabled, otherwise fall back to agent chains
-            if self.use_graph:
-                async for event in self._run_with_graph(query, research_mode, message_history):
-                    yield event
-            else:
-                async for event in self._run_with_chains(query, research_mode, message_history):
-                    yield event
-
-        except Exception as e:
-            self.logger.error("Graph orchestrator failed", error=str(e), exc_info=True)
-            yield AgentEvent(
-                type="error",
-                message=f"Research failed: {e!s}",
-                iteration=0,
-            )
-
-    async def _run_with_graph(
-        self,
-        query: str,
-        research_mode: Literal["iterative", "deep"],
-        message_history: list[ModelMessage] | None = None,
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """Run workflow using graph execution.
-
-        Args:
-            query: The research query
-            research_mode: The research mode
-            message_history: Optional user conversation history
-
-        Yields:
-            AgentEvent objects
-        """
-        # Initialize state and budget tracker
-        from src.services.embeddings import get_embedding_service
-
-        embedding_service = get_embedding_service()
-        state = init_workflow_state(
-            embedding_service=embedding_service,
-            message_history=message_history,
-        )
-        budget_tracker = BudgetTracker()
-        budget_tracker.create_budget(
-            loop_id="graph_execution",
-            tokens_limit=100000,
-            time_limit_seconds=self.max_time_minutes * 60,
-            iterations_limit=self.max_iterations,
-        )
-        budget_tracker.start_timer("graph_execution")
-
-        context = GraphExecutionContext(
-            state,
-            budget_tracker,
-            message_history=message_history or [],
-        )
-
-        # Build graph
-        self._graph = await self._build_graph(research_mode)
-
-        # Execute graph
-        async for event in self._execute_graph(query, context):
-            yield event
-
-    async def _run_with_chains(
-        self,
-        query: str,
-        research_mode: Literal["iterative", "deep"],
-        message_history: list[ModelMessage] | None = None,
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """Run workflow using agent chains (backward compatibility).
-
-        Args:
-            query: The research query
-            research_mode: The research mode
-            message_history: Optional user conversation history
-
-        Yields:
-            AgentEvent objects
-        """
-        if research_mode == "iterative":
-            yield AgentEvent(
-                type="searching",
-                message="Running iterative research flow...",
-                iteration=1,
-            )
-
-            if self._iterative_flow is None:
-                self._iterative_flow = IterativeResearchFlow(
-                    max_iterations=self.max_iterations,
-                    max_time_minutes=self.max_time_minutes,
-                    judge_handler=self.judge_handler,
-                    oauth_token=self.oauth_token,
-                )
-
-            try:
-                final_report = await self._iterative_flow.run(
-                    query, message_history=message_history
-                )
-            except Exception as e:
-                self.logger.error("Iterative flow failed", error=str(e), exc_info=True)
-                # Yield error event - outer handler will also catch and yield error event
-                yield AgentEvent(
-                    type="error",
-                    message=f"Iterative research failed: {e!s}",
-                    iteration=1,
-                )
-                # Re-raise so outer handler can also yield error event for consistency
-                raise
-
-            yield AgentEvent(
-                type="complete",
-                message=final_report,
-                data={"mode": "iterative"},
-                iteration=1,
-            )
-
-        elif research_mode == "deep":
-            yield AgentEvent(
-                type="searching",
-                message="Running deep research flow...",
-                iteration=1,
-            )
-
-            if self._deep_flow is None:
-                # DeepResearchFlow creates its own judge_handler internally
-                # The judge_handler is passed to IterativeResearchFlow in parallel loops
-                self._deep_flow = DeepResearchFlow(
-                    max_iterations=self.max_iterations,
-                    max_time_minutes=self.max_time_minutes,
-                    oauth_token=self.oauth_token,
-                )
-
-            try:
-                final_report = await self._deep_flow.run(query, message_history=message_history)
-            except Exception as e:
-                self.logger.error("Deep flow failed", error=str(e), exc_info=True)
-                # Yield error event before re-raising so test can capture it
-                yield AgentEvent(
-                    type="error",
-                    message=f"Deep research failed: {e!s}",
-                    iteration=1,
-                )
-                raise
-
-            yield AgentEvent(
-                type="complete",
-                message=final_report,
-                data={"mode": "deep"},
-                iteration=1,
-            )
-
-    async def _build_graph(self, mode: Literal["iterative", "deep"]) -> ResearchGraph:
-        """Build graph for the specified mode.
-
-        Args:
-            mode: Research mode
-
-        Returns:
-            Constructed ResearchGraph
-        """
-        if mode == "iterative":
-            # Get agents - pass OAuth token for HuggingFace authentication
-            knowledge_gap_agent = create_knowledge_gap_agent(oauth_token=self.oauth_token)
-            tool_selector_agent = create_tool_selector_agent(oauth_token=self.oauth_token)
-            thinking_agent = create_thinking_agent(oauth_token=self.oauth_token)
-            writer_agent = create_writer_agent(oauth_token=self.oauth_token)
-
-            # Create graph
-            graph = create_iterative_graph(
-                knowledge_gap_agent=knowledge_gap_agent.agent,
-                tool_selector_agent=tool_selector_agent.agent,
-                thinking_agent=thinking_agent.agent,
-                writer_agent=writer_agent.agent,
-            )
-        else:  # deep
-            # Get agents - pass OAuth token for HuggingFace authentication
-            planner_agent = create_planner_agent(oauth_token=self.oauth_token)
-            knowledge_gap_agent = create_knowledge_gap_agent(oauth_token=self.oauth_token)
-            tool_selector_agent = create_tool_selector_agent(oauth_token=self.oauth_token)
-            thinking_agent = create_thinking_agent(oauth_token=self.oauth_token)
-            writer_agent = create_writer_agent(oauth_token=self.oauth_token)
-            long_writer_agent = create_long_writer_agent(oauth_token=self.oauth_token)
-
-            # Create graph
-            graph = create_deep_graph(
-                planner_agent=planner_agent.agent,
-                knowledge_gap_agent=knowledge_gap_agent.agent,
-                tool_selector_agent=tool_selector_agent.agent,
-                thinking_agent=thinking_agent.agent,
-                writer_agent=writer_agent.agent,
-                long_writer_agent=long_writer_agent.agent,
-            )
-
-        return graph
-
-    def _emit_start_event(
-        self, node: Any, current_node_id: str, iteration: int, context: GraphExecutionContext
-    ) -> AgentEvent:
-        """Emit start event for a node.
-
-        Args:
-            node: The node being executed
-            current_node_id: Current node ID
-            iteration: Current iteration number
-            context: Execution context
-
-        Returns:
-            AgentEvent for the start of node execution
-        """
-        if node and node.node_id == "planner":
-            return AgentEvent(
-                type="searching",
-                message="Creating report plan...",
-                iteration=iteration,
-            )
-        elif node and node.node_id == "parallel_loops":
-            # Get report plan to show section count
-            report_plan = context.get_node_result("planner")
-            if report_plan and hasattr(report_plan, "report_outline"):
-                section_count = len(report_plan.report_outline)
-                return AgentEvent(
-                    type="looping",
-                    message=f"Running parallel research loops for {section_count} sections...",
-                    iteration=iteration,
-                    data={"sections": section_count},
-                )
-            return AgentEvent(
-                type="looping",
-                message="Running parallel research loops...",
-                iteration=iteration,
-            )
-        elif node and node.node_id == "synthesizer":
-            return AgentEvent(
-                type="synthesizing",
-                message="Synthesizing final report from section drafts...",
-                iteration=iteration,
-            )
-        return AgentEvent(
-            type="looping",
-            message=f"Executing node: {current_node_id}",
-            iteration=iteration,
-        )
-
-    def _emit_completion_event(
-        self, node: Any, current_node_id: str, result: Any, iteration: int
-    ) -> AgentEvent:
-        """Emit completion event for a node.
-
-        Args:
-            node: The node that was executed
-            current_node_id: Current node ID
-            result: Node execution result
-            iteration: Current iteration number
-
-        Returns:
-            AgentEvent for the completion of node execution
-        """
-        if not node:
-            return AgentEvent(
-                type="looping",
-                message=f"Completed node: {current_node_id}",
-                iteration=iteration,
-            )
-
-        if node.node_id == "planner":
-            if isinstance(result, dict) and "report_outline" in result:
-                section_count = len(result["report_outline"])
-                return AgentEvent(
-                    type="search_complete",
-                    message=f"Report plan created with {section_count} sections",
-                    iteration=iteration,
-                    data={"sections": section_count},
-                )
-            return AgentEvent(
-                type="search_complete",
-                message="Report plan created",
-                iteration=iteration,
-            )
-        elif node.node_id == "parallel_loops":
-            if isinstance(result, list):
-                return AgentEvent(
-                    type="search_complete",
-                    message=f"Completed parallel research for {len(result)} sections",
-                    iteration=iteration,
-                    data={"sections_completed": len(result)},
-                )
-            return AgentEvent(
-                type="search_complete",
-                message="Parallel research loops completed",
-                iteration=iteration,
-            )
-        elif node.node_id == "synthesizer":
-            return AgentEvent(
-                type="synthesizing",
-                message="Final report synthesis completed",
-                iteration=iteration,
-            )
-        return AgentEvent(
-            type="searching" if node.node_type == "agent" else "looping",
-            message=f"Completed {node.node_type} node: {current_node_id}",
-            iteration=iteration,
-        )
-
-    def _get_final_result_from_exit_nodes(
-        self, context: GraphExecutionContext, current_node_id: str | None
-    ) -> tuple[Any, str | None]:
-        """Get final result from exit nodes, prioritizing synthesizer/writer."""
-        if not self._graph:
-            return None, current_node_id
-
-        final_result = None
-        result_node_id = current_node_id
-
-        # First try to get result from current node (if it's an exit node)
-        if current_node_id and current_node_id in self._graph.exit_nodes:
-            final_result = context.get_node_result(current_node_id)
-            self.logger.debug(
-                "Final result from current exit node",
-                node_id=current_node_id,
-                has_result=final_result is not None,
-                result_type=type(final_result).__name__ if final_result else None,
-            )
-
-        # If no result from current node, check all exit nodes for results
-        # Prioritize synthesizer (deep research) or writer (iterative research)
-        if not final_result:
-            exit_node_priority = ["synthesizer", "writer"]
-            for exit_node_id in exit_node_priority:
-                if exit_node_id in self._graph.exit_nodes:
-                    result = context.get_node_result(exit_node_id)
-                    if result:
-                        final_result = result
-                        result_node_id = exit_node_id
-                        self.logger.debug(
-                            "Final result from priority exit node",
-                            node_id=exit_node_id,
-                            result_type=type(final_result).__name__,
-                        )
-                        break
-
-            # If still no result, check all exit nodes
-            if not final_result:
-                for exit_node_id in self._graph.exit_nodes:
-                    result = context.get_node_result(exit_node_id)
-                    if result:
-                        final_result = result
-                        result_node_id = exit_node_id
-                        self.logger.debug(
-                            "Final result from any exit node",
-                            node_id=exit_node_id,
-                            result_type=type(final_result).__name__,
-                        )
-                        break
-
-        # Log warning if no result found
-        if not final_result:
-            self.logger.warning(
-                "No final result found in exit nodes",
-                exit_nodes=list(self._graph.exit_nodes),
-                visited_nodes=list(context.visited_nodes),
-                all_node_results=list(context.node_results.keys()),
-            )
-
-        return final_result, result_node_id
-
-    def _extract_final_message_and_files(self, final_result: Any) -> tuple[str, dict[str, Any]]:
-        """Extract message and file information from final result."""
-        event_data: dict[str, Any] = {"mode": self.mode}
-        message: str = "Research completed"
-
-        if isinstance(final_result, str):
-            message = final_result
-            self.logger.debug("Final message extracted from string result", length=len(message))
-        elif isinstance(final_result, dict):
-            # First check for message key (most important)
-            if "message" in final_result:
-                message = final_result["message"]
-                self.logger.debug(
-                    "Final message extracted from dict 'message' key",
-                    length=len(message) if isinstance(message, str) else 0,
-                )
-
-            # Then check for file paths
-            if "file" in final_result:
-                file_path = final_result["file"]
-                if isinstance(file_path, str):
-                    event_data["file"] = file_path
-                    # Only override message if not already set from "message" key
-                    if "message" not in final_result:
-                        message = "Report generated. Download available."
-                    self.logger.debug("File path added to event data", file_path=file_path)
-
-            # Check for multiple files
-            if "files" in final_result:
-                files = final_result["files"]
-                if isinstance(files, list):
-                    event_data["files"] = files
-                    self.logger.debug("Multiple files added to event data", count=len(files))
-
-        return message, event_data
-
-    async def _execute_graph(
-        self, query: str, context: GraphExecutionContext
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """Execute the graph from entry node.
-
-        Args:
-            query: The research query
-            context: Execution context
-
-        Yields:
-            AgentEvent objects
-        """
-        if not self._graph:
-            raise ValueError("Graph not built")
-
-        current_node_id = self._graph.entry_node
-        iteration = 0
-
-        # Execute nodes until we reach an exit node
-        while current_node_id:
-            # Check budget
-            if not context.budget_tracker.can_continue("graph_execution"):
-                self.logger.warning("Budget exceeded, exiting graph execution")
-                break
-
-            # Execute current node
-            iteration += 1
-            context.current_node = current_node_id
-            node = self._graph.get_node(current_node_id)
-
-            # Emit start event
-            yield self._emit_start_event(node, current_node_id, iteration, context)
-
-            try:
-                result = await self._execute_node(current_node_id, query, context)
-                context.set_node_result(current_node_id, result)
-                context.mark_visited(current_node_id)
-
-                # Yield completion event
-                yield self._emit_completion_event(node, current_node_id, result, iteration)
-
-            except Exception as e:
-                self.logger.error("Node execution failed", node_id=current_node_id, error=str(e))
-                yield AgentEvent(
-                    type="error",
-                    message=f"Node {current_node_id} failed: {e!s}",
-                    iteration=iteration,
-                )
-                break
-
-            # Check if current node is an exit node - if so, we're done
-            if current_node_id in self._graph.exit_nodes:
-                break
-
-            # Get next node(s)
-            next_nodes = self._get_next_node(current_node_id, context)
-
-            if not next_nodes:
-                # No more nodes, we've reached a dead end
-                self.logger.warning("Reached dead end in graph", node_id=current_node_id)
-                break
-
-            current_node_id = next_nodes[0]  # For now, take first next node (handle parallel later)
-
-        # Final event - get result from exit nodes (prioritize synthesizer/writer nodes)
-        final_result, result_node_id = self._get_final_result_from_exit_nodes(
-            context, current_node_id
-        )
-
-        # Check if final result contains file information
-        event_data: dict[str, Any] = {"mode": self.mode, "iterations": iteration}
-        message, file_event_data = self._extract_final_message_and_files(final_result)
-        event_data.update(file_event_data)
-
-        yield AgentEvent(
-            type="complete",
-            message=message,
-            data=event_data,
-            iteration=iteration,
-        )
-
-    async def _execute_node(self, node_id: str, query: str, context: GraphExecutionContext) -> Any:
-        """Execute a single node.
-
-        Args:
-            node_id: The node ID
-            query: The research query
-            context: Execution context
-
-        Returns:
-            Node execution result
-        """
-        if not self._graph:
-            raise ValueError("Graph not built")
-
-        node = self._graph.get_node(node_id)
-        if not node:
-            raise ValueError(f"Node {node_id} not found")
-
-        if isinstance(node, AgentNode):
-            return await self._execute_agent_node(node, query, context)
-        elif isinstance(node, StateNode):
-            return await self._execute_state_node(node, query, context)
-        elif isinstance(node, DecisionNode):
-            return await self._execute_decision_node(node, query, context)
-        elif isinstance(node, ParallelNode):
-            return await self._execute_parallel_node(node, query, context)
-        else:
-            raise ValueError(f"Unknown node type: {type(node)}")
-
-    async def _execute_synthesizer_node(self, query: str, context: GraphExecutionContext) -> Any:
-        """Execute synthesizer node for deep research."""
-        from src.agent_factory.agents import create_long_writer_agent
-        from src.utils.models import ReportDraft, ReportDraftSection, ReportPlan
-
-        report_plan = context.get_node_result("planner")
-        section_drafts = context.get_node_result("parallel_loops") or []
-
-        if not isinstance(report_plan, ReportPlan):
-            raise ValueError("ReportPlan not found for synthesizer")
-
-        if not section_drafts:
-            raise ValueError("Section drafts not found for synthesizer")
-
-        # Create ReportDraft from section drafts
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title=section.title,
-                    section_content=draft,
-                )
-                for section, draft in zip(report_plan.report_outline, section_drafts, strict=False)
-            ]
-        )
-
-        # Get LongWriterAgent instance and call write_report directly
-        long_writer_agent = create_long_writer_agent(oauth_token=self.oauth_token)
-        final_report = await long_writer_agent.write_report(
-            original_query=query,
-            report_title=report_plan.report_title,
-            report_draft=report_draft,
-        )
-
-        # Estimate tokens (rough estimate)
-        estimated_tokens = len(final_report) // 4  # Rough token estimate
-        context.budget_tracker.add_tokens("graph_execution", estimated_tokens)
-
-        # Save report to file if enabled (may generate multiple formats)
-        return self._save_report_and_return_result(final_report, query)
-
-    def _save_report_and_return_result(self, final_report: str, query: str) -> dict[str, Any] | str:
-        """Save report to file and return result with file paths if available."""
-        file_path: str | None = None
-        pdf_path: str | None = None
-        try:
-            file_service = self._get_file_service()
-            if file_service:
-                # Use save_report_multiple_formats to get both MD and PDF if enabled
-                saved_files = file_service.save_report_multiple_formats(
-                    report_content=final_report,
-                    query=query,
-                )
-                file_path = saved_files.get("md")
-                pdf_path = saved_files.get("pdf")
-                self.logger.info(
-                    "Report saved to file",
-                    md_path=file_path,
-                    pdf_path=pdf_path,
-                )
-        except Exception as e:
-            # Don't fail the entire operation if file saving fails
-            self.logger.warning("Failed to save report to file", error=str(e))
-            file_path = None
-            pdf_path = None
-
-        # Return dict with file paths if available, otherwise return string (backward compatible)
-        if file_path:
-            result: dict[str, Any] = {
-                "message": final_report,
-                "file": file_path,
-            }
-            # Add PDF path if generated
-            if pdf_path:
-                result["files"] = [file_path, pdf_path]
-            return result
-        return final_report
-
-    async def _execute_writer_node(self, query: str, context: GraphExecutionContext) -> Any:
-        """Execute writer node for iterative research."""
-        from src.agent_factory.agents import create_writer_agent
-
-        # Get all evidence from workflow state and convert to findings string
-        evidence = context.state.evidence
-        if evidence:
-            # Convert evidence to findings format (similar to conversation.get_all_findings())
-            findings_parts: list[str] = []
-            for ev in evidence:
-                finding = f"**{ev.citation.title}**\n{ev.content}"
-                if ev.citation.url:
-                    finding += f"\nSource: {ev.citation.url}"
-                findings_parts.append(finding)
-            all_findings = "\n\n".join(findings_parts)
-        else:
-            all_findings = "No findings available yet."
-
-        # Get WriterAgent instance and call write_report directly
-        writer_agent = create_writer_agent(oauth_token=self.oauth_token)
-        final_report = await writer_agent.write_report(
-            query=query,
-            findings=all_findings,
-            output_length="",
-            output_instructions="",
-        )
-
-        # Estimate tokens (rough estimate)
-        estimated_tokens = len(final_report) // 4  # Rough token estimate
-        context.budget_tracker.add_tokens("graph_execution", estimated_tokens)
-
-        # Save report to file if enabled (may generate multiple formats)
-        return self._save_report_and_return_result(final_report, query)
-
-    def _prepare_agent_input(
-        self, node: AgentNode, query: str, context: GraphExecutionContext
-    ) -> Any:
-        """Prepare input data for agent execution."""
-        if node.node_id == "planner":
-            # Planner takes the original query
-            input_data = query
-        else:
-            # Standard: use previous node result or query
-            prev_result = context.get_node_result(context.current_node)
-            input_data = prev_result if prev_result is not None else query
-
-        # Apply input transformer if provided
-        if node.input_transformer:
-            input_data = node.input_transformer(input_data)
-
-        return input_data
-
-    async def _execute_standard_agent(
-        self, node: AgentNode, input_data: Any, query: str, context: GraphExecutionContext
-    ) -> Any:
-        """Execute standard agent with error handling and fallback models."""
-        # Get message history from context (limit to most recent 10 messages for token efficiency)
-        message_history = context.get_message_history(max_messages=10)
-
-        # Try with the original agent first
-        try:
-            # Pass message_history if available (Pydantic AI agents support this)
-            if message_history:
-                result = await node.agent.run(input_data, message_history=message_history)
-            else:
-                result = await node.agent.run(input_data)
-
-            # Accumulate new messages from agent result if available
-            if hasattr(result, "new_messages"):
-                try:
-                    new_messages = result.new_messages()
-                    for msg in new_messages:
-                        context.add_message(msg)
-                except Exception as e:
-                    # Don't fail if message accumulation fails
-                    self.logger.debug(
-                        "Failed to accumulate messages from agent result", error=str(e)
-                    )
-            return result
-        except Exception as e:
-            # Check if we should retry with fallback models
-            from src.utils.hf_error_handler import (
-                extract_error_details,
-                should_retry_with_fallback,
-            )
-
-            error_details = extract_error_details(e)
-            should_retry = should_retry_with_fallback(e)
-
-            # Handle validation errors and API errors for planner node (with fallback)
-            if node.node_id == "planner":
-                if should_retry:
-                    self.logger.warning(
-                        "Planner failed, trying fallback models",
-                        original_error=str(e),
-                        status_code=error_details.get("status_code"),
-                    )
-                    # Try fallback models for planner
-                    fallback_result = await self._try_fallback_models(
-                        node, input_data, message_history, query, context, e
-                    )
-                    if fallback_result is not None:
-                        return fallback_result
-                # If fallback failed or not applicable, use fallback plan
-                return self._create_fallback_plan(query, input_data)
-
-            # For other nodes, try fallback models if applicable
-            if should_retry:
-                self.logger.warning(
-                    "Agent node failed, trying fallback models",
-                    node_id=node.node_id,
-                    original_error=str(e),
-                    status_code=error_details.get("status_code"),
-                )
-                fallback_result = await self._try_fallback_models(
-                    node, input_data, message_history, query, context, e
-                )
-                if fallback_result is not None:
-                    return fallback_result
-
-            # If fallback didn't work or wasn't applicable, re-raise the exception
-            raise
-
-    async def _try_fallback_models(
-        self,
-        node: AgentNode,
-        input_data: Any,
-        message_history: list[Any],
-        query: str,
-        context: GraphExecutionContext,
-        original_error: Exception,
-    ) -> Any | None:
-        """Try executing agent with fallback models.
-
-        Args:
-            node: The agent node that failed
-            input_data: Input data for the agent
-            message_history: Message history for the agent
-            query: The research query
-            context: Execution context
-            original_error: The original error that triggered fallback
-
-        Returns:
-            Agent result if successful, None if all fallbacks failed
-        """
-        from src.utils.hf_error_handler import extract_error_details, get_fallback_models
-
-        error_details = extract_error_details(original_error)
-        original_model = error_details.get("model_name")
-        fallback_models = get_fallback_models(original_model)
-
-        # Also try models from settings fallback list
-        from src.utils.config import settings
-
-        settings_fallbacks = settings.get_hf_fallback_models_list()
-        for model in settings_fallbacks:
-            if model not in fallback_models:
-                fallback_models.append(model)
-
-        self.logger.info(
-            "Trying fallback models",
-            node_id=node.node_id,
-            original_model=original_model,
-            fallback_count=len(fallback_models),
-        )
-
-        # Try each fallback model
-        for fallback_model in fallback_models:
-            try:
-                # Recreate agent with fallback model
-                fallback_agent = self._recreate_agent_with_model(node.node_id, fallback_model)
-                if fallback_agent is None:
-                    continue
-
-                # Try running with fallback agent
-                if message_history:
-                    result = await fallback_agent.run(input_data, message_history=message_history)
-                else:
-                    result = await fallback_agent.run(input_data)
-
-                self.logger.info(
-                    "Fallback model succeeded",
-                    node_id=node.node_id,
-                    fallback_model=fallback_model,
-                )
-
-                # Accumulate new messages from agent result if available
-                if hasattr(result, "new_messages"):
-                    try:
-                        new_messages = result.new_messages()
-                        for msg in new_messages:
-                            context.add_message(msg)
-                    except Exception as e:
-                        self.logger.debug(
-                            "Failed to accumulate messages from fallback agent result", error=str(e)
-                        )
-
-                return result
-
-            except Exception as e:
-                self.logger.warning(
-                    "Fallback model failed",
-                    node_id=node.node_id,
-                    fallback_model=fallback_model,
-                    error=str(e),
-                )
-                continue
-
-        # All fallback models failed
-        self.logger.error(
-            "All fallback models failed",
-            node_id=node.node_id,
-            fallback_count=len(fallback_models),
-        )
-        return None
-
-    def _recreate_agent_with_model(self, node_id: str, model_name: str) -> Any | None:
-        """Recreate an agent with a specific model.
-
-        Args:
-            node_id: The node ID (e.g., "thinking", "knowledge_gap")
-            model_name: The model name to use
-
-        Returns:
-            Agent instance or None if recreation failed
-        """
-        try:
-            from pydantic_ai.models.huggingface import HuggingFaceModel
-            from pydantic_ai.providers.huggingface import HuggingFaceProvider
-
-            # Create model with fallback model name
-            hf_provider = HuggingFaceProvider(api_key=self.oauth_token)
-            model = HuggingFaceModel(model_name, provider=hf_provider)
-
-            # Recreate agent based on node_id
-            if node_id == "thinking":
-                from src.agent_factory.agents import create_thinking_agent
-
-                agent_wrapper = create_thinking_agent(model=model, oauth_token=self.oauth_token)
-                return agent_wrapper.agent
-            elif node_id == "knowledge_gap":
-                from src.agent_factory.agents import create_knowledge_gap_agent
-
-                agent_wrapper = create_knowledge_gap_agent(  # type: ignore[assignment]
-                    model=model, oauth_token=self.oauth_token
-                )
-                return agent_wrapper.agent
-            elif node_id == "tool_selector":
-                from src.agent_factory.agents import create_tool_selector_agent
-
-                agent_wrapper = create_tool_selector_agent(  # type: ignore[assignment]
-                    model=model, oauth_token=self.oauth_token
-                )
-                return agent_wrapper.agent
-            elif node_id == "planner":
-                from src.agent_factory.agents import create_planner_agent
-
-                agent_wrapper = create_planner_agent(model=model, oauth_token=self.oauth_token)  # type: ignore[assignment]
-                return agent_wrapper.agent
-            elif node_id == "writer":
-                from src.agent_factory.agents import create_writer_agent
-
-                agent_wrapper = create_writer_agent(model=model, oauth_token=self.oauth_token)  # type: ignore[assignment]
-                return agent_wrapper.agent
-            else:
-                self.logger.warning("Unknown node_id for agent recreation", node_id=node_id)
-                return None
-
-        except Exception as e:
-            self.logger.error(
-                "Failed to recreate agent with fallback model",
-                node_id=node_id,
-                model_name=model_name,
-                error=str(e),
-            )
-            return None
-
-    def _create_fallback_plan(self, query: str, input_data: Any) -> Any:
-        """Create fallback ReportPlan when planner fails."""
-        from src.utils.models import ReportPlan, ReportPlanSection
-
-        self.logger.error(
-            "Planner agent execution failed, using fallback plan",
-            error_type=type(input_data).__name__,
-        )
-
-        # Extract query from input_data if possible
-        fallback_query = query
-        if isinstance(input_data, str):
-            # Try to extract query from input string
-            if "QUERY:" in input_data:
-                fallback_query = input_data.split("QUERY:")[-1].strip()
-
-        return ReportPlan(
-            background_context="",
-            report_outline=[
-                ReportPlanSection(
-                    title="Research Findings",
-                    key_question=fallback_query,
-                )
-            ],
-            report_title=f"Research Report: {fallback_query[:50]}",
-        )
-
-    def _extract_agent_output(self, node: AgentNode, result: Any) -> Any:
-        """Extract and transform output from agent result."""
-        # Defensively extract output - handle various result formats
-        output = result.output if hasattr(result, "output") else result
-
-        # Handle case where output might be a tuple (from pydantic-ai validation errors)
-        if isinstance(output, tuple):
-            output = self._handle_tuple_output(node, output, result)
-        return output
-
-    def _handle_tuple_output(self, node: AgentNode, output: tuple[Any, ...], result: Any) -> Any:
-        """Handle tuple output from agent (validation errors)."""
-        # If tuple contains a dict-like structure, try to reconstruct the object
-        if len(output) == 2 and isinstance(output[0], str) and output[0] == "research_complete":
-            # This is likely a validation error format: ('research_complete', False)
-            # Try to get the actual output from result
-            self.logger.warning(
-                "Agent result output is a tuple, attempting to extract actual output",
-                node_id=node.node_id,
-                tuple_value=output,
-            )
-            # Try to get output from result attributes
-            if hasattr(result, "data"):
-                return result.data
-            if hasattr(result, "response"):
-                return result.response
-            # Last resort: try to reconstruct from tuple
-            # This shouldn't happen, but handle gracefully
-            from src.utils.models import KnowledgeGapOutput
-
-            if node.node_id == "knowledge_gap":
-                # Reconstruct KnowledgeGapOutput from validation error tuple
-                reconstructed = KnowledgeGapOutput(
-                    research_complete=output[1] if len(output) > 1 else False,
-                    outstanding_gaps=[],
-                )
-                self.logger.info(
-                    "Reconstructed KnowledgeGapOutput from validation error tuple",
-                    node_id=node.node_id,
-                    research_complete=reconstructed.research_complete,
-                )
-                return reconstructed
-
-        # For other nodes, try to extract meaningful output or use fallback
-        self.logger.warning(
-            "Agent node output is tuple format, attempting extraction",
-            node_id=node.node_id,
-            tuple_value=output,
-        )
-        # Try to extract first meaningful element
-        if len(output) > 0:
-            # If first element is a string or dict, might be the actual output
-            if isinstance(output[0], str | dict):
-                return output[0]
-            # Last resort: use first element
-            return output[0]
-        # Empty tuple - use None and let downstream handle it
-        return None
-
-    async def _execute_agent_node(
-        self, node: AgentNode, query: str, context: GraphExecutionContext
-    ) -> Any:
-        """Execute an agent node.
-
-        Special handling for deep research nodes:
-        - "planner": Takes query string, returns ReportPlan
-        - "synthesizer": Takes query + ReportPlan + section drafts, returns final report
-
-        Args:
-            node: The agent node
-            query: The research query
-            context: Execution context
-
-        Returns:
-            Agent execution result
-        """
-        # Special handling for synthesizer node (deep research)
-        if node.node_id == "synthesizer":
-            return await self._execute_synthesizer_node(query, context)
-
-        # Special handling for writer node (iterative research)
-        if node.node_id == "writer":
-            return await self._execute_writer_node(query, context)
-
-        # Standard agent execution
-        input_data = self._prepare_agent_input(node, query, context)
-        result = await self._execute_standard_agent(node, input_data, query, context)
-        output = self._extract_agent_output(node, result)
-
-        if node.output_transformer:
-            output = node.output_transformer(output)
-
-        # Estimate and track tokens
-        if hasattr(result, "usage") and result.usage:
-            tokens = result.usage.total_tokens if hasattr(result.usage, "total_tokens") else 0
-            context.budget_tracker.add_tokens("graph_execution", tokens)
-
-        # Special handling for knowledge_gap node: optionally call judge_handler
-        if node.node_id == "knowledge_gap" and self.judge_handler:
-            # Get evidence from workflow state
-            evidence = context.state.evidence
-            if evidence:
-                try:
-                    from src.utils.models import JudgeAssessment
-
-                    # Call judge handler to assess evidence
-                    judge_assessment: JudgeAssessment = await self.judge_handler.assess(
-                        question=query, evidence=evidence
-                    )
-                    # Store assessment in context for decision node to use
-                    context.set_node_result("judge_assessment", judge_assessment)
-                    self.logger.info(
-                        "Judge assessment completed",
-                        sufficient=judge_assessment.sufficient,
-                        confidence=judge_assessment.confidence,
-                        recommendation=judge_assessment.recommendation,
-                    )
-                except Exception as e:
-                    self.logger.warning(
-                        "Judge handler assessment failed",
-                        error=str(e),
-                        node_id=node.node_id,
-                    )
-                    # Continue without judge assessment
-
-        return output
-
-    async def _execute_state_node(
-        self, node: StateNode, query: str, context: GraphExecutionContext
-    ) -> Any:
-        """Execute a state node.
-
-        Special handling for deep research state nodes:
-        - "store_plan": Stores ReportPlan in context for parallel loops
-        - "collect_drafts": Stores section drafts in context for synthesizer
-        - "execute_tools": Executes search using search_handler
-
-        Args:
-            node: The state node
-            query: The research query
-            context: Execution context
-
-        Returns:
-            State update result
-        """
-        # Special handling for execute_tools node
-        if node.node_id == "execute_tools":
-            # Get AgentSelectionPlan from tool_selector node result
-            tool_selector_result = context.get_node_result("tool_selector")
-            from src.utils.models import AgentSelectionPlan, SearchResult
-
-            # Extract query from context or use original query
-            search_query = query
-            if tool_selector_result and isinstance(tool_selector_result, AgentSelectionPlan):
-                # Use the gap or query from the selection plan
-                if tool_selector_result.tasks:
-                    # Use the first task's query if available
-                    first_task = tool_selector_result.tasks[0]
-                    if hasattr(first_task, "query") and first_task.query:
-                        search_query = first_task.query
-                    elif hasattr(first_task, "tool_input") and isinstance(
-                        first_task.tool_input, str
-                    ):
-                        search_query = first_task.tool_input
-
-            # Execute search using search_handler
-            if self.search_handler:
-                try:
-                    search_result: SearchResult = await self.search_handler.execute(
-                        query=search_query, max_results_per_tool=10
-                    )
-                    # Add evidence to workflow state (add_evidence expects a list)
-                    context.state.add_evidence(search_result.evidence)
-                    # Store evidence list in context for next nodes
-                    context.set_node_result(node.node_id, search_result.evidence)
-                    self.logger.info(
-                        "Tools executed via search_handler",
-                        query=search_query[:100],
-                        evidence_count=len(search_result.evidence),
-                    )
-                    return search_result.evidence
-                except Exception as e:
-                    self.logger.error(
-                        "Search handler execution failed",
-                        error=str(e),
-                        query=search_query[:100],
-                    )
-                    # Return empty list on error to allow graph to continue
-                    return []
-            else:
-                # Fallback: log warning and return empty list
-                self.logger.warning(
-                    "Search handler not available for execute_tools node",
-                    node_id=node.node_id,
-                )
-                return []
-
-        # Get previous result for state update
-        # For "store_plan", get from planner node
-        # For "collect_drafts", get from parallel_loops node
-        if node.node_id == "store_plan":
-            prev_result = context.get_node_result("planner")
-        elif node.node_id == "collect_drafts":
-            prev_result = context.get_node_result("parallel_loops")
-        else:
-            prev_result = context.get_node_result(context.current_node)
-
-        # Update state
-        updated_state = node.state_updater(context.state, prev_result)
-        context.state = updated_state
-
-        # Store result in context for next nodes to access
-        context.set_node_result(node.node_id, prev_result)
-
-        # Read state if needed
-        if node.state_reader:
-            return node.state_reader(context.state)
-
-        return prev_result  # Return the stored result for next nodes
-
-    async def _execute_decision_node(
-        self, node: DecisionNode, query: str, context: GraphExecutionContext
-    ) -> str:
-        """Execute a decision node.
-
-        Args:
-            node: The decision node
-            query: The research query
-            context: Execution context
-
-        Returns:
-            Next node ID
-        """
-        # Get previous result for decision
-        # The decision node needs the result from the node that connects to it
-        # Find the previous node by searching edges
-        prev_node_id: str | None = None
-        if self._graph:
-            # Find which node connects to this decision node
-            for from_node, edge_list in self._graph.edges.items():
-                for edge in edge_list:
-                    if edge.to_node == node.node_id:
-                        prev_node_id = from_node
-                        break
-                if prev_node_id:
-                    break
-
-        # Fallback: For continue_decision, it always comes from knowledge_gap
-        if not prev_node_id and node.node_id == "continue_decision":
-            prev_node_id = "knowledge_gap"
-
-        # Get result from previous node (or current node if no previous found)
-        if prev_node_id:
-            prev_result = context.get_node_result(prev_node_id)
-        else:
-            # Fallback: try to get from visited nodes (last visited before current)
-            visited_list = list(context.visited_nodes)
-            if len(visited_list) > 0:
-                prev_node_id = visited_list[-1]
-                prev_result = context.get_node_result(prev_node_id)
-            else:
-                prev_result = context.get_node_result(context.current_node)
-
-        # Handle case where result might be a tuple (from pydantic-ai validation errors)
-        # Extract the actual result object if it's a tuple
-        if isinstance(prev_result, tuple) and len(prev_result) > 0:
-            # Check if first element is a KnowledgeGapOutput-like object
-            if hasattr(prev_result[0], "research_complete"):
-                prev_result = prev_result[0]
-            elif len(prev_result) > 1 and hasattr(prev_result[1], "research_complete"):
-                prev_result = prev_result[1]
-            elif (
-                len(prev_result) == 2
-                and isinstance(prev_result[0], str)
-                and prev_result[0] == "research_complete"
-            ):
-                # Handle validation error format: ('research_complete', False)
-                # Reconstruct KnowledgeGapOutput from tuple
-                from src.utils.models import KnowledgeGapOutput
-
-                self.logger.warning(
-                    "Decision node received validation error tuple, reconstructing KnowledgeGapOutput",
-                    node_id=node.node_id,
-                    tuple_value=prev_result,
-                )
-                prev_result = KnowledgeGapOutput(
-                    research_complete=prev_result[1] if len(prev_result) > 1 else False,
-                    outstanding_gaps=[],
-                )
-            else:
-                # If tuple doesn't contain the object, try to reconstruct or use fallback
-                self.logger.warning(
-                    "Decision node received unexpected tuple format, attempting reconstruction",
-                    node_id=node.node_id,
-                    tuple_length=len(prev_result),
-                    tuple_types=[type(x).__name__ for x in prev_result],
-                )
-                # Try to reconstruct KnowledgeGapOutput if this is from knowledge_gap node
-                if prev_node_id == "knowledge_gap":
-                    from src.utils.models import KnowledgeGapOutput
-
-                    # Try to extract research_complete from tuple
-                    research_complete = False
-                    for item in prev_result:
-                        if isinstance(item, bool):
-                            research_complete = item
-                            break
-                        elif isinstance(item, dict) and "research_complete" in item:
-                            research_complete = item["research_complete"]
-                            break
-                    prev_result = KnowledgeGapOutput(
-                        research_complete=research_complete,
-                        outstanding_gaps=[],
-                    )
-                else:
-                    # For other nodes, use first element as fallback
-                    prev_result = prev_result[0]
-
-        # Make decision
-        try:
-            next_node_id = node.decision_function(prev_result)
-        except Exception as e:
-            self.logger.error(
-                "Decision function failed",
-                node_id=node.node_id,
-                error=str(e),
-                prev_result_type=type(prev_result).__name__,
-            )
-            # Default to first option on error
-            next_node_id = node.options[0]
-
-        # Validate decision
-        if next_node_id not in node.options:
-            self.logger.warning(
-                "Decision function returned invalid node",
-                node_id=node.node_id,
-                returned=next_node_id,
-                options=node.options,
-            )
-            # Default to first option
-            next_node_id = node.options[0]
-
-        return next_node_id
-
-    async def _execute_parallel_node(
-        self, node: ParallelNode, query: str, context: GraphExecutionContext
-    ) -> list[Any]:
-        """Execute a parallel node.
-
-        Special handling for deep research "parallel_loops" node:
-        - Extracts report plan from previous node result
-        - Creates IterativeResearchFlow instances for each section
-        - Executes them in parallel
-        - Returns section drafts
-
-        Args:
-            node: The parallel node
-            query: The research query
-            context: Execution context
-
-        Returns:
-            List of results from parallel nodes
-        """
-        # Special handling for deep research parallel_loops node
-        if node.node_id == "parallel_loops":
-            return await self._execute_deep_research_parallel_loops(node, query, context)
-
-        # Standard parallel node execution
-        # Execute all parallel nodes concurrently
-        tasks = [
-            self._execute_node(parallel_node_id, query, context)
-            for parallel_node_id in node.parallel_nodes
-        ]
-
-        results = await asyncio.gather(*tasks, return_exceptions=True)
-
-        # Handle exceptions
-        for i, result in enumerate(results):
-            if isinstance(result, Exception):
-                self.logger.error(
-                    "Parallel node execution failed",
-                    node_id=node.parallel_nodes[i] if i < len(node.parallel_nodes) else "unknown",
-                    error=str(result),
-                )
-                results[i] = None
-
-        # Aggregate if needed
-        if node.aggregator:
-            aggregated = node.aggregator(results)
-            # Type cast: aggregator returns Any, but we expect list[Any]
-            return list(aggregated) if isinstance(aggregated, list) else [aggregated]
-
-        return results
-
-    async def _execute_deep_research_parallel_loops(
-        self, node: ParallelNode, query: str, context: GraphExecutionContext
-    ) -> list[str]:
-        """Execute parallel iterative research loops for deep research.
-
-        Args:
-            node: The parallel node (should be "parallel_loops")
-            query: The research query
-            context: Execution context
-
-        Returns:
-            List of section draft strings
-        """
-        from src.agent_factory.judges import create_judge_handler
-        from src.orchestrator.research_flow import IterativeResearchFlow
-        from src.utils.models import ReportPlan
-
-        # Get report plan from previous node (store_plan)
-        # The plan should be stored in context.node_results from the planner node
-        planner_result = context.get_node_result("planner")
-        if not isinstance(planner_result, ReportPlan):
-            self.logger.error(
-                "Planner result is not a ReportPlan",
-                type=type(planner_result),
-            )
-            raise ValueError("Planner must return ReportPlan for deep research")
-
-        report_plan: ReportPlan = planner_result
-        self.logger.info(
-            "Executing parallel loops for deep research",
-            sections=len(report_plan.report_outline),
-        )
-
-        # Use judge handler from GraphOrchestrator if available, otherwise create new one
-        judge_handler = self.judge_handler
-        if judge_handler is None:
-            judge_handler = create_judge_handler()
-
-        # Create and execute iterative research flows for each section
-        async def run_section_research(section_index: int) -> str:
-            """Run iterative research for a single section."""
-            section = report_plan.report_outline[section_index]
-
-            try:
-                # Create iterative research flow
-                flow = IterativeResearchFlow(
-                    max_iterations=self.max_iterations,
-                    max_time_minutes=self.max_time_minutes,
-                    verbose=False,  # Less verbose in parallel execution
-                    use_graph=False,  # Use agent chains for section research
-                    judge_handler=self.judge_handler or judge_handler,
-                    oauth_token=self.oauth_token,
-                )
-
-                # Run research for this section
-                section_draft = await flow.run(
-                    query=section.key_question,
-                    background_context=report_plan.background_context,
-                )
-
-                self.logger.info(
-                    "Section research completed",
-                    section_index=section_index,
-                    section_title=section.title,
-                    draft_length=len(section_draft),
-                )
-
-                return section_draft
-
-            except Exception as e:
-                self.logger.error(
-                    "Section research failed",
-                    section_index=section_index,
-                    section_title=section.title,
-                    error=str(e),
-                )
-                # Return empty string for failed sections
-                return f"# {section.title}\n\n[Research failed: {e!s}]"
-
-        # Execute all sections in parallel
-        section_drafts = await asyncio.gather(
-            *(run_section_research(i) for i in range(len(report_plan.report_outline))),
-            return_exceptions=True,
-        )
-
-        # Handle exceptions and filter None results
-        filtered_drafts: list[str] = []
-        for i, draft in enumerate(section_drafts):
-            if isinstance(draft, Exception):
-                self.logger.error(
-                    "Section research exception",
-                    section_index=i,
-                    error=str(draft),
-                )
-                filtered_drafts.append(
-                    f"# {report_plan.report_outline[i].title}\n\n[Research failed: {draft!s}]"
-                )
-            elif draft is not None:
-                # Type narrowing: after Exception check, draft is str | None
-                assert isinstance(draft, str), "Expected str after Exception check"
-                filtered_drafts.append(draft)
-
-        self.logger.info(
-            "Parallel loops completed",
-            sections=len(filtered_drafts),
-            total_sections=len(report_plan.report_outline),
-        )
-
-        return filtered_drafts
-
-    def _get_next_node(self, node_id: str, context: GraphExecutionContext) -> list[str]:
-        """Get next node(s) from current node.
-
-        Args:
-            node_id: Current node ID
-            context: Execution context
-
-        Returns:
-            List of next node IDs
-        """
-        if not self._graph:
-            return []
-
-        # Get node result for condition evaluation
-        node_result = context.get_node_result(node_id)
-
-        # Get next nodes
-        next_nodes = self._graph.get_next_nodes(node_id, context=node_result)
-
-        # If this was a decision node, use its result
-        node = self._graph.get_node(node_id)
-        if isinstance(node, DecisionNode):
-            decision_result = node_result
-            if isinstance(decision_result, str):
-                return [decision_result]
-
-        # Return next node IDs
-        return [next_node_id for next_node_id, _ in next_nodes]
-
-    async def _detect_research_mode(self, query: str) -> Literal["iterative", "deep"]:
-        """
-        Detect research mode from query using input parser agent.
-
-        Uses input parser agent to analyze query and determine research mode.
-        Falls back to heuristic if parser fails.
-
-        Args:
-            query: The research query
-
-        Returns:
-            Detected research mode
-        """
-        try:
-            # Use input parser agent for intelligent mode detection
-            input_parser = create_input_parser_agent(oauth_token=self.oauth_token)
-            parsed_query = await input_parser.parse(query)
-            self.logger.info(
-                "Research mode detected by input parser",
-                mode=parsed_query.research_mode,
-                query=query[:100],
-            )
-            return parsed_query.research_mode
-        except Exception as e:
-            # Fallback to heuristic if parser fails
-            self.logger.warning(
-                "Input parser failed, using heuristic",
-                error=str(e),
-                query=query[:100],
-            )
-            query_lower = query.lower()
-            if any(
-                keyword in query_lower
-                for keyword in [
-                    "section",
-                    "sections",
-                    "report",
-                    "outline",
-                    "structure",
-                    "comprehensive",
-                    "analyze",
-                    "analysis",
-                ]
-            ):
-                return "deep"
-            return "iterative"
-
-
-def create_graph_orchestrator(
-    mode: Literal["iterative", "deep", "auto"] = "auto",
-    max_iterations: int = 5,
-    max_time_minutes: int = 10,
-    use_graph: bool = True,
-    search_handler: SearchHandlerProtocol | None = None,
-    judge_handler: JudgeHandlerProtocol | None = None,
-    oauth_token: str | None = None,
-) -> GraphOrchestrator:
-    """
-    Factory function to create a graph orchestrator.
-
-    Args:
-        mode: Research mode
-        max_iterations: Maximum iterations per loop
-        max_time_minutes: Maximum time per loop
-        use_graph: Whether to use graph execution (True) or agent chains (False)
-        search_handler: Optional search handler for tool execution
-        judge_handler: Optional judge handler for evidence assessment
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured GraphOrchestrator instance
-    """
-    return GraphOrchestrator(
-        mode=mode,
-        max_iterations=max_iterations,
-        max_time_minutes=max_time_minutes,
-        use_graph=use_graph,
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        oauth_token=oauth_token,
-    )
diff --git a/src/orchestrator/planner_agent.py b/src/orchestrator/planner_agent.py
deleted file mode 100644
index 410c19ea682d150d17738c15605768e2484b24e6..0000000000000000000000000000000000000000
--- a/src/orchestrator/planner_agent.py
+++ /dev/null
@@ -1,185 +0,0 @@
-"""Planner agent for creating report plans with sections and background context.
-
-Converts the folder/planner_agent.py implementation to use Pydantic AI.
-"""
-
-from datetime import datetime
-from typing import Any
-
-import structlog
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.tools.crawl_adapter import crawl_website
-from src.tools.web_search_adapter import web_search
-from src.utils.exceptions import ConfigurationError, JudgeError
-from src.utils.models import ReportPlan, ReportPlanSection
-
-logger = structlog.get_logger()
-
-
-# System prompt for the planner agent
-SYSTEM_PROMPT = f"""
-You are a research manager, managing a team of research agents. Today's date is {datetime.now().strftime("%Y-%m-%d")}.
-Given a research query, your job is to produce an initial outline of the report (section titles and key questions),
-as well as some background context. Each section will be assigned to a different researcher in your team who will then
-carry out research on the section.
-
-You will be given:
-- An initial research query
-
-Your task is to:
-1. Produce 1-2 paragraphs of initial background context (if needed) on the query by running web searches or crawling websites
-2. Produce an outline of the report that includes a list of section titles and the key question to be addressed in each section
-3. Provide a title for the report that will be used as the main heading
-
-Guidelines:
-- Each section should cover a single topic/question that is independent of other sections
-- The key question for each section should include both the NAME and DOMAIN NAME / WEBSITE (if available and applicable) if it is related to a company, product or similar
-- The background_context should not be more than 2 paragraphs
-- The background_context should be very specific to the query and include any information that is relevant for researchers across all sections of the report
-- The background_context should be drawn only from web search or crawl results rather than prior knowledge (i.e. it should only be included if you have called tools)
-- For example, if the query is about a company, the background context should include some basic information about what the company does
-- DO NOT do more than 2 tool calls
-
-Only output JSON. Follow the JSON schema for ReportPlan. Do not output anything else.
-"""
-
-
-class PlannerAgent:
-    """
-    Planner agent that creates report plans with sections and background context.
-
-    Uses Pydantic AI to generate structured ReportPlan output with optional
-    web search and crawl tool usage for background context.
-    """
-
-    def __init__(
-        self,
-        model: Any | None = None,
-        web_search_tool: Any | None = None,
-        crawl_tool: Any | None = None,
-    ) -> None:
-        """
-        Initialize the planner agent.
-
-        Args:
-            model: Optional Pydantic AI model. If None, uses config default.
-            web_search_tool: Optional web search tool function. If None, uses default.
-            crawl_tool: Optional crawl tool function. If None, uses default.
-        """
-        self.model = model or get_model()
-        self.web_search_tool = web_search_tool or web_search
-        self.crawl_tool = crawl_tool or crawl_website
-        self.logger = logger
-
-        # Validate tools are callable
-        if not callable(self.web_search_tool):
-            raise ConfigurationError("web_search_tool must be callable")
-        if not callable(self.crawl_tool):
-            raise ConfigurationError("crawl_tool must be callable")
-
-        # Initialize Pydantic AI Agent
-        self.agent = Agent(
-            model=self.model,
-            output_type=ReportPlan,
-            system_prompt=SYSTEM_PROMPT,
-            tools=[self.web_search_tool, self.crawl_tool],
-            retries=3,
-        )
-
-    async def run(self, query: str) -> ReportPlan:
-        """
-        Run the planner agent to generate a report plan.
-
-        Args:
-            query: The user's research query
-
-        Returns:
-            ReportPlan with sections, background context, and report title
-
-        Raises:
-            JudgeError: If planning fails after retries
-            ConfigurationError: If agent configuration is invalid
-        """
-        self.logger.info("Starting report planning", query=query[:100])
-
-        user_message = f"QUERY: {query}"
-
-        try:
-            # Run the agent
-            result = await self.agent.run(user_message)
-            report_plan = result.output
-
-            # Validate report plan
-            if not report_plan.report_outline:
-                self.logger.warning("Report plan has no sections", query=query[:100])
-                # Return fallback plan instead of raising error
-                return ReportPlan(
-                    background_context=report_plan.background_context or "",
-                    report_outline=[
-                        ReportPlanSection(
-                            title="Overview",
-                            key_question=query,
-                        )
-                    ],
-                    report_title=report_plan.report_title or f"Research Report: {query[:50]}",
-                )
-
-            if not report_plan.report_title:
-                self.logger.warning("Report plan has no title", query=query[:100])
-                raise JudgeError("Report plan must have a title")
-
-            self.logger.info(
-                "Report plan created",
-                sections=len(report_plan.report_outline),
-                has_background=bool(report_plan.background_context),
-            )
-
-            return report_plan
-
-        except Exception as e:
-            self.logger.error("Planning failed", error=str(e), query=query[:100])
-
-            # Fallback: return minimal report plan
-            if isinstance(e, JudgeError | ConfigurationError):
-                raise
-
-            # For other errors, return a minimal plan
-            return ReportPlan(
-                background_context="",
-                report_outline=[
-                    ReportPlanSection(
-                        title="Research Findings",
-                        key_question=query,
-                    )
-                ],
-                report_title=f"Research Report: {query[:50]}",
-            )
-
-
-def create_planner_agent(model: Any | None = None, oauth_token: str | None = None) -> PlannerAgent:
-    """
-    Factory function to create a planner agent.
-
-    Args:
-        model: Optional Pydantic AI model. If None, uses settings default.
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured PlannerAgent instance
-
-    Raises:
-        ConfigurationError: If required API keys are missing
-    """
-    try:
-        # Get model from settings if not provided
-        if model is None:
-            model = get_model(oauth_token=oauth_token)
-
-        # Create and return planner agent
-        return PlannerAgent(model=model)
-
-    except Exception as e:
-        logger.error("Failed to create planner agent", error=str(e))
-        raise ConfigurationError(f"Failed to create planner agent: {e}") from e
diff --git a/src/orchestrator/research_flow.py b/src/orchestrator/research_flow.py
deleted file mode 100644
index 3ce777bd0add3b1272febdc385bf9e3cfca04e3f..0000000000000000000000000000000000000000
--- a/src/orchestrator/research_flow.py
+++ /dev/null
@@ -1,1111 +0,0 @@
-"""Research flow implementations for iterative and deep research patterns.
-
-Converts the folder/iterative_research.py and folder/deep_research.py
-implementations to use Pydantic AI agents.
-"""
-
-import asyncio
-import time
-from typing import Any
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agent_factory.agents import (
-    create_graph_orchestrator,
-    create_knowledge_gap_agent,
-    create_long_writer_agent,
-    create_planner_agent,
-    create_proofreader_agent,
-    create_thinking_agent,
-    create_tool_selector_agent,
-    create_writer_agent,
-)
-from src.agent_factory.judges import create_judge_handler
-from src.middleware.budget_tracker import BudgetTracker
-from src.middleware.state_machine import get_workflow_state, init_workflow_state
-from src.middleware.workflow_manager import WorkflowManager
-from src.services.llamaindex_rag import LlamaIndexRAGService, get_rag_service
-from src.services.report_file_service import ReportFileService, get_report_file_service
-from src.tools.tool_executor import execute_tool_tasks
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import (
-    AgentSelectionPlan,
-    AgentTask,
-    Citation,
-    Conversation,
-    Evidence,
-    JudgeAssessment,
-    KnowledgeGapOutput,
-    ReportDraft,
-    ReportDraftSection,
-    ReportPlan,
-    SourceName,
-    ToolAgentOutput,
-)
-
-logger = structlog.get_logger()
-
-
-class IterativeResearchFlow:
-    """
-    Iterative research flow that runs a single research loop.
-
-    Pattern: Generate observations → Evaluate gaps → Select tools → Execute → Repeat
-    until research is complete or constraints are met.
-    """
-
-    def __init__(
-        self,
-        max_iterations: int = 5,
-        max_time_minutes: int = 10,
-        verbose: bool = True,
-        use_graph: bool = False,
-        judge_handler: Any | None = None,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize iterative research flow.
-
-        Args:
-            max_iterations: Maximum number of iterations
-            max_time_minutes: Maximum time in minutes
-            verbose: Whether to log progress
-            use_graph: Whether to use graph-based execution (True) or agent chains (False)
-            oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        """
-        self.max_iterations = max_iterations
-        self.max_time_minutes = max_time_minutes
-        self.verbose = verbose
-        self.use_graph = use_graph
-        self.oauth_token = oauth_token
-        self.logger = logger
-
-        # Initialize agents (only needed for agent chain execution)
-        if not use_graph:
-            self.knowledge_gap_agent = create_knowledge_gap_agent(oauth_token=self.oauth_token)
-            self.tool_selector_agent = create_tool_selector_agent(oauth_token=self.oauth_token)
-            self.thinking_agent = create_thinking_agent(oauth_token=self.oauth_token)
-            self.writer_agent = create_writer_agent(oauth_token=self.oauth_token)
-            # Initialize judge handler (use provided or create new)
-            self.judge_handler = judge_handler or create_judge_handler()
-
-        # Initialize state (only needed for agent chain execution)
-        if not use_graph:
-            self.conversation = Conversation()
-            self.iteration = 0
-            self.start_time: float | None = None
-            self.should_continue = True
-
-            # Initialize budget tracker
-            self.budget_tracker = BudgetTracker()
-            self.loop_id = "iterative_flow"
-            self.budget_tracker.create_budget(
-                loop_id=self.loop_id,
-                tokens_limit=100000,
-                time_limit_seconds=max_time_minutes * 60,
-                iterations_limit=max_iterations,
-            )
-            self.budget_tracker.start_timer(self.loop_id)
-
-            # Initialize RAG service (lazy, may be None if unavailable)
-            self._rag_service: LlamaIndexRAGService | None = None
-
-        # Graph orchestrator (lazy initialization)
-        self._graph_orchestrator: Any = None
-
-        # File service (lazy initialization)
-        self._file_service: ReportFileService | None = None
-
-    def _get_file_service(self) -> ReportFileService | None:
-        """
-        Get file service instance (lazy initialization).
-
-        Returns:
-            ReportFileService instance or None if disabled
-        """
-        if self._file_service is None:
-            try:
-                self._file_service = get_report_file_service()
-            except Exception as e:
-                self.logger.warning("Failed to initialize file service", error=str(e))
-                return None
-        return self._file_service
-
-    async def run(
-        self,
-        query: str,
-        background_context: str = "",
-        output_length: str = "",
-        output_instructions: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> str:
-        """
-        Run the iterative research flow.
-
-        Args:
-            query: The research query
-            background_context: Optional background context
-            output_length: Optional description of desired output length
-            output_instructions: Optional additional instructions
-            message_history: Optional user conversation history
-
-        Returns:
-            Final report string
-        """
-        if self.use_graph:
-            return await self._run_with_graph(
-                query, background_context, output_length, output_instructions, message_history
-            )
-        else:
-            return await self._run_with_chains(
-                query, background_context, output_length, output_instructions, message_history
-            )
-
-    async def _run_with_chains(
-        self,
-        query: str,
-        background_context: str = "",
-        output_length: str = "",
-        output_instructions: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> str:
-        """
-        Run the iterative research flow using agent chains.
-
-        Args:
-            query: The research query
-            background_context: Optional background context
-            output_length: Optional description of desired output length
-            output_instructions: Optional additional instructions
-            message_history: Optional user conversation history
-
-        Returns:
-            Final report string
-        """
-        self.start_time = time.time()
-        self.logger.info("Starting iterative research (agent chains)", query=query[:100])
-
-        # Initialize conversation with first iteration
-        self.conversation.add_iteration()
-
-        # Main research loop
-        while self.should_continue and self._check_constraints():
-            self.iteration += 1
-            self.logger.info("Starting iteration", iteration=self.iteration)
-
-            # Add new iteration to conversation
-            self.conversation.add_iteration()
-
-            # 1. Generate observations
-            await self._generate_observations(query, background_context, message_history)
-
-            # 2. Evaluate gaps
-            evaluation = await self._evaluate_gaps(query, background_context, message_history)
-
-            # 3. Assess with judge (after tools execute, we'll assess again)
-            # For now, check knowledge gap evaluation
-            # After tool execution, we'll do a full judge assessment
-
-            # Check if research is complete (knowledge gap agent says complete)
-            if evaluation.research_complete:
-                self.should_continue = False
-                self.logger.info("Research marked as complete by knowledge gap agent")
-                break
-
-            # 4. Select tools for next gap
-            next_gap = evaluation.outstanding_gaps[0] if evaluation.outstanding_gaps else query
-            selection_plan = await self._select_agents(
-                next_gap, query, background_context, message_history
-            )
-
-            # 5. Execute tools
-            await self._execute_tools(selection_plan.tasks)
-
-            # 6. Assess evidence sufficiency with judge
-            judge_assessment = await self._assess_with_judge(query)
-
-            # Check if judge says evidence is sufficient
-            if judge_assessment.sufficient:
-                self.should_continue = False
-                self.logger.info(
-                    "Research marked as complete by judge",
-                    confidence=judge_assessment.confidence,
-                    reasoning=judge_assessment.reasoning[:100],
-                )
-                break
-
-            # Update budget tracker
-            self.budget_tracker.increment_iteration(self.loop_id)
-            self.budget_tracker.update_timer(self.loop_id)
-
-        # Create final report
-        report = await self._create_final_report(query, output_length, output_instructions)
-
-        elapsed = time.time() - (self.start_time or time.time())
-        self.logger.info(
-            "Iterative research completed",
-            iterations=self.iteration,
-            elapsed_minutes=elapsed / 60,
-        )
-
-        return report
-
-    async def _run_with_graph(
-        self,
-        query: str,
-        background_context: str = "",
-        output_length: str = "",
-        output_instructions: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> str:
-        """
-        Run the iterative research flow using graph execution.
-
-        Args:
-            query: The research query
-            background_context: Optional background context (currently ignored in graph execution)
-            output_length: Optional description of desired output length (currently ignored in graph execution)
-            output_instructions: Optional additional instructions (currently ignored in graph execution)
-
-        Returns:
-            Final report string
-        """
-        self.logger.info("Starting iterative research (graph execution)", query=query[:100])
-
-        # Create graph orchestrator (lazy initialization)
-        if self._graph_orchestrator is None:
-            self._graph_orchestrator = create_graph_orchestrator(
-                mode="iterative",
-                max_iterations=self.max_iterations,
-                max_time_minutes=self.max_time_minutes,
-                use_graph=True,
-            )
-
-        # Run orchestrator and collect events
-        final_report = ""
-        async for event in self._graph_orchestrator.run(query):
-            if event.type == "complete":
-                final_report = event.message
-                break
-            elif event.type == "error":
-                self.logger.error("Graph execution error", error=event.message)
-                raise RuntimeError(f"Graph execution failed: {event.message}")
-
-        if not final_report:
-            self.logger.warning("No complete event received from graph orchestrator")
-            final_report = "Research completed but no report was generated."
-
-        self.logger.info("Iterative research completed (graph execution)")
-
-        return final_report
-
-    def _check_constraints(self) -> bool:
-        """Check if we've exceeded constraints."""
-        if self.iteration >= self.max_iterations:
-            self.logger.info("Max iterations reached", max=self.max_iterations)
-            return False
-
-        if self.start_time:
-            elapsed_minutes = (time.time() - self.start_time) / 60
-            if elapsed_minutes >= self.max_time_minutes:
-                self.logger.info("Max time reached", max=self.max_time_minutes)
-                return False
-
-        # Check budget tracker
-        self.budget_tracker.update_timer(self.loop_id)
-        exceeded, reason = self.budget_tracker.check_budget(self.loop_id)
-        if exceeded:
-            self.logger.info("Budget exceeded", reason=reason)
-            return False
-
-        return True
-
-    async def _generate_observations(
-        self,
-        query: str,
-        background_context: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> str:
-        """Generate observations from current research state."""
-        # Build input prompt for token estimation
-        conversation_history = self.conversation.compile_conversation_history()
-        # Build background context section separately to avoid backslash in f-string
-        background_section = (
-            f"BACKGROUND CONTEXT:\n{background_context}\n\n" if background_context else ""
-        )
-        input_prompt = f"""
-You are starting iteration {self.iteration} of your research process.
-
-ORIGINAL QUERY:
-{query}
-
-{background_section}HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        observations = await self.thinking_agent.generate_observations(
-            query=query,
-            background_context=background_context,
-            conversation_history=conversation_history,
-            message_history=message_history,
-            iteration=self.iteration,
-        )
-
-        # Track tokens for this iteration
-        estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(input_prompt, observations)
-        self.budget_tracker.add_iteration_tokens(self.loop_id, self.iteration, estimated_tokens)
-        self.logger.debug(
-            "Tokens tracked for thinking agent",
-            iteration=self.iteration,
-            tokens=estimated_tokens,
-        )
-
-        self.conversation.set_latest_thought(observations)
-        return observations
-
-    async def _evaluate_gaps(
-        self,
-        query: str,
-        background_context: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> KnowledgeGapOutput:
-        """Evaluate knowledge gaps in current research."""
-        if self.start_time:
-            elapsed_minutes = (time.time() - self.start_time) / 60
-        else:
-            elapsed_minutes = 0.0
-
-        # Build input prompt for token estimation
-        conversation_history = self.conversation.compile_conversation_history()
-        background = f"BACKGROUND CONTEXT:\n{background_context}" if background_context else ""
-        input_prompt = f"""
-Current Iteration Number: {self.iteration}
-Time Elapsed: {elapsed_minutes:.2f} minutes of maximum {self.max_time_minutes} minutes
-
-ORIGINAL QUERY:
-{query}
-
-{background}
-
-HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        evaluation = await self.knowledge_gap_agent.evaluate(
-            query=query,
-            background_context=background_context,
-            conversation_history=conversation_history,
-            message_history=message_history,
-            iteration=self.iteration,
-            time_elapsed_minutes=elapsed_minutes,
-            max_time_minutes=self.max_time_minutes,
-        )
-
-        # Track tokens for this iteration
-        evaluation_text = f"research_complete={evaluation.research_complete}, gaps={len(evaluation.outstanding_gaps)}"
-        estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(
-            input_prompt, evaluation_text
-        )
-        self.budget_tracker.add_iteration_tokens(self.loop_id, self.iteration, estimated_tokens)
-        self.logger.debug(
-            "Tokens tracked for knowledge gap agent",
-            iteration=self.iteration,
-            tokens=estimated_tokens,
-        )
-
-        if not evaluation.research_complete and evaluation.outstanding_gaps:
-            self.conversation.set_latest_gap(evaluation.outstanding_gaps[0])
-
-        return evaluation
-
-    async def _assess_with_judge(self, query: str) -> JudgeAssessment:
-        """Assess evidence sufficiency using JudgeHandler.
-
-        Args:
-            query: The research query
-
-        Returns:
-            JudgeAssessment with sufficiency evaluation
-        """
-        state = get_workflow_state()
-        evidence = state.evidence  # Get all collected evidence
-
-        self.logger.info(
-            "Assessing evidence with judge",
-            query=query[:100],
-            evidence_count=len(evidence),
-        )
-
-        assessment = await self.judge_handler.assess(query, evidence)
-
-        # Track tokens for judge call
-        # Estimate tokens from query + evidence + assessment
-        evidence_text = "\n".join([e.content[:500] for e in evidence[:10]])  # Sample
-        estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(
-            query + evidence_text, str(assessment.reasoning)
-        )
-        self.budget_tracker.add_iteration_tokens(self.loop_id, self.iteration, estimated_tokens)
-
-        self.logger.info(
-            "Judge assessment complete",
-            sufficient=assessment.sufficient,
-            confidence=assessment.confidence,
-            recommendation=assessment.recommendation,
-        )
-
-        return assessment
-
-    async def _select_agents(
-        self,
-        gap: str,
-        query: str,
-        background_context: str = "",
-        message_history: list[ModelMessage] | None = None,
-    ) -> AgentSelectionPlan:
-        """Select tools to address knowledge gap."""
-        # Build input prompt for token estimation
-        conversation_history = self.conversation.compile_conversation_history()
-        background = f"BACKGROUND CONTEXT:\n{background_context}" if background_context else ""
-        input_prompt = f"""
-ORIGINAL QUERY:
-{query}
-
-KNOWLEDGE GAP TO ADDRESS:
-{gap}
-
-{background}
-
-HISTORY OF ACTIONS, FINDINGS AND THOUGHTS:
-{conversation_history or "No previous actions, findings or thoughts available."}
-"""
-
-        selection_plan = await self.tool_selector_agent.select_tools(
-            gap=gap,
-            query=query,
-            background_context=background_context,
-            conversation_history=conversation_history,
-            message_history=message_history,
-        )
-
-        # Track tokens for this iteration
-        selection_text = f"tasks={len(selection_plan.tasks)}, agents={[task.agent for task in selection_plan.tasks]}"
-        estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(
-            input_prompt, selection_text
-        )
-        self.budget_tracker.add_iteration_tokens(self.loop_id, self.iteration, estimated_tokens)
-        self.logger.debug(
-            "Tokens tracked for tool selector agent",
-            iteration=self.iteration,
-            tokens=estimated_tokens,
-        )
-
-        # Store tool calls in conversation
-        tool_calls = [
-            f"[Agent] {task.agent} [Query] {task.query} [Entity] {task.entity_website or 'null'}"
-            for task in selection_plan.tasks
-        ]
-        self.conversation.set_latest_tool_calls(tool_calls)
-
-        return selection_plan
-
-    def _get_rag_service(self) -> LlamaIndexRAGService | None:
-        """
-        Get or create RAG service instance.
-
-        Returns:
-            RAG service instance, or None if unavailable
-        """
-        if self._rag_service is None:
-            try:
-                self._rag_service = get_rag_service()
-                self.logger.info("RAG service initialized for research flow")
-            except (ConfigurationError, ImportError) as e:
-                self.logger.warning(
-                    "RAG service unavailable", error=str(e), hint="OPENAI_API_KEY required"
-                )
-                return None
-        return self._rag_service
-
-    async def _execute_tools(self, tasks: list[AgentTask]) -> dict[str, ToolAgentOutput]:
-        """Execute selected tools concurrently."""
-        try:
-            results = await execute_tool_tasks(tasks)
-        except Exception as e:
-            # Handle tool execution errors gracefully
-            self.logger.error(
-                "Tool execution failed",
-                error=str(e),
-                task_count=len(tasks),
-                exc_info=True,
-            )
-            # Return empty results to allow research flow to continue
-            # The flow can still generate a report based on previous iterations
-            results = {}
-
-        # Store findings in conversation (only if we have results)
-        evidence_list: list[Evidence] = []
-        if results:
-            findings = [result.output for result in results.values()]
-            self.conversation.set_latest_findings(findings)
-
-            # Convert tool outputs to Evidence objects and store in workflow state
-            evidence_list = self._convert_tool_outputs_to_evidence(results)
-
-        if evidence_list:
-            state = get_workflow_state()
-            added_count = state.add_evidence(evidence_list)
-            self.logger.info(
-                "Evidence added to workflow state",
-                count=added_count,
-                total_evidence=len(state.evidence),
-            )
-
-            # Ingest evidence into RAG if available (Phase 6 requirement)
-            rag_service = self._get_rag_service()
-            if rag_service is not None:
-                try:
-                    # ingest_evidence is synchronous, run in executor to avoid blocking
-                    loop = asyncio.get_event_loop()
-                    await loop.run_in_executor(None, rag_service.ingest_evidence, evidence_list)
-                    self.logger.info(
-                        "Evidence ingested into RAG",
-                        count=len(evidence_list),
-                    )
-                except Exception as e:
-                    # Don't fail the research loop if RAG ingestion fails
-                    self.logger.warning(
-                        "Failed to ingest evidence into RAG",
-                        error=str(e),
-                        count=len(evidence_list),
-                    )
-
-        return results
-
-    def _convert_tool_outputs_to_evidence(
-        self, tool_results: dict[str, ToolAgentOutput]
-    ) -> list[Evidence]:
-        """Convert ToolAgentOutput to Evidence objects.
-
-        Args:
-            tool_results: Dictionary of tool execution results
-
-        Returns:
-            List of Evidence objects
-        """
-        evidence_list = []
-        for key, result in tool_results.items():
-            # Extract URLs from sources
-            if result.sources:
-                # Create one Evidence object per source URL
-                for url in result.sources:
-                    # Determine source type from URL or tool name
-                    # Default to "web" for unknown web sources
-                    source_type: SourceName = "web"
-                    if "pubmed" in url.lower() or "ncbi" in url.lower():
-                        source_type = "pubmed"
-                    elif "clinicaltrials" in url.lower():
-                        source_type = "clinicaltrials"
-                    elif "europepmc" in url.lower():
-                        source_type = "europepmc"
-                    elif "biorxiv" in url.lower():
-                        source_type = "biorxiv"
-                    elif "arxiv" in url.lower() or "preprint" in url.lower():
-                        source_type = "preprint"
-                    # Note: "web" is now a valid SourceName for general web sources
-
-                    citation = Citation(
-                        title=f"Tool Result: {key}",
-                        url=url,
-                        source=source_type,
-                        date="n.d.",
-                        authors=[],
-                    )
-                    # Truncate content to reasonable length for judge (1500 chars)
-                    content = result.output[:1500]
-                    if len(result.output) > 1500:
-                        content += "... [truncated]"
-
-                    evidence = Evidence(
-                        content=content,
-                        citation=citation,
-                        relevance=0.5,  # Default relevance
-                    )
-                    evidence_list.append(evidence)
-            else:
-                # No URLs, create a single Evidence object with tool output
-                # Use a placeholder URL based on the tool name
-                # Determine source type from tool name
-                tool_source_type: SourceName = "web"  # Default for unknown sources
-                if "RAG" in key:
-                    tool_source_type = "rag"
-                elif "WebSearch" in key or "SiteCrawler" in key:
-                    tool_source_type = "web"
-                # "web" is now a valid SourceName for general web sources
-
-                citation = Citation(
-                    title=f"Tool Result: {key}",
-                    url=f"tool://{key}",
-                    source=tool_source_type,
-                    date="n.d.",
-                    authors=[],
-                )
-                content = result.output[:1500]
-                if len(result.output) > 1500:
-                    content += "... [truncated]"
-
-                evidence = Evidence(
-                    content=content,
-                    citation=citation,
-                    relevance=0.5,
-                )
-                evidence_list.append(evidence)
-
-        return evidence_list
-
-    async def _create_final_report(
-        self, query: str, length: str = "", instructions: str = ""
-    ) -> str:
-        """Create final report from all findings."""
-        all_findings = "\n\n".join(self.conversation.get_all_findings())
-        if not all_findings:
-            all_findings = "No findings available yet."
-
-        # Build input prompt for token estimation
-        length_str = f"* The full response should be approximately {length}.\n" if length else ""
-        instructions_str = f"* {instructions}" if instructions else ""
-        guidelines_str = (
-            ("\n\nGUIDELINES:\n" + length_str + instructions_str).strip("\n")
-            if length or instructions
-            else ""
-        )
-        input_prompt = f"""
-Provide a response based on the query and findings below with as much detail as possible. {guidelines_str}
-
-QUERY: {query}
-
-FINDINGS:
-{all_findings}
-"""
-
-        report = await self.writer_agent.write_report(
-            query=query,
-            findings=all_findings,
-            output_length=length,
-            output_instructions=instructions,
-        )
-
-        # Track tokens for final report (not per iteration, just total)
-        estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(input_prompt, report)
-        self.budget_tracker.add_tokens(self.loop_id, estimated_tokens)
-        self.logger.debug(
-            "Tokens tracked for writer agent (final report)",
-            tokens=estimated_tokens,
-        )
-
-        # Save report to file if enabled
-        try:
-            file_service = self._get_file_service()
-            if file_service:
-                file_path = file_service.save_report(
-                    report_content=report,
-                    query=query,
-                )
-                self.logger.info("Report saved to file", file_path=file_path)
-        except Exception as e:
-            # Don't fail the entire operation if file saving fails
-            self.logger.warning("Failed to save report to file", error=str(e))
-
-        # Note: Citation validation for markdown reports would require Evidence objects
-        # Currently, findings are strings, not Evidence objects. For full validation,
-        # consider using ResearchReport format or passing Evidence objects separately.
-        # See src/utils/citation_validator.py for markdown citation validation utilities.
-
-        return report
-
-
-class DeepResearchFlow:
-    """
-    Deep research flow that runs parallel iterative loops per section.
-
-    Pattern: Plan → Parallel Iterative Loops (one per section) → Synthesis
-    """
-
-    def __init__(
-        self,
-        max_iterations: int = 5,
-        max_time_minutes: int = 10,
-        verbose: bool = True,
-        use_long_writer: bool = True,
-        use_graph: bool = False,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize deep research flow.
-
-        Args:
-            max_iterations: Maximum iterations per section
-            max_time_minutes: Maximum time per section
-            verbose: Whether to log progress
-            use_long_writer: Whether to use long writer (True) or proofreader (False)
-            use_graph: Whether to use graph-based execution (True) or agent chains (False)
-            oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        """
-        self.max_iterations = max_iterations
-        self.max_time_minutes = max_time_minutes
-        self.verbose = verbose
-        self.use_long_writer = use_long_writer
-        self.use_graph = use_graph
-        self.oauth_token = oauth_token
-        self.logger = logger
-
-        # Initialize agents (only needed for agent chain execution)
-        if not use_graph:
-            self.planner_agent = create_planner_agent(oauth_token=self.oauth_token)
-            self.long_writer_agent = create_long_writer_agent(oauth_token=self.oauth_token)
-            self.proofreader_agent = create_proofreader_agent(oauth_token=self.oauth_token)
-            # Initialize judge handler for section loop completion
-            self.judge_handler = create_judge_handler()
-            # Initialize budget tracker for token tracking
-            self.budget_tracker = BudgetTracker()
-            self.loop_id = "deep_research_flow"
-            self.budget_tracker.create_budget(
-                loop_id=self.loop_id,
-                tokens_limit=200000,  # Higher limit for deep research
-                time_limit_seconds=max_time_minutes
-                * 60
-                * 2,  # Allow more time for parallel sections
-                iterations_limit=max_iterations * 10,  # Allow for multiple sections
-            )
-            self.budget_tracker.start_timer(self.loop_id)
-
-        # Graph orchestrator (lazy initialization)
-        self._graph_orchestrator: Any = None
-
-        # File service (lazy initialization)
-        self._file_service: ReportFileService | None = None
-
-    def _get_file_service(self) -> ReportFileService | None:
-        """
-        Get file service instance (lazy initialization).
-
-        Returns:
-            ReportFileService instance or None if disabled
-        """
-        if self._file_service is None:
-            try:
-                self._file_service = get_report_file_service()
-            except Exception as e:
-                self.logger.warning("Failed to initialize file service", error=str(e))
-                return None
-        return self._file_service
-
-    async def run(self, query: str, message_history: list[ModelMessage] | None = None) -> str:
-        """
-        Run the deep research flow.
-
-        Args:
-            query: The research query
-            message_history: Optional user conversation history
-
-        Returns:
-            Final report string
-        """
-        if self.use_graph:
-            return await self._run_with_graph(query, message_history)
-        else:
-            return await self._run_with_chains(query, message_history)
-
-    async def _run_with_chains(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> str:
-        """
-        Run the deep research flow using agent chains.
-
-        Args:
-            query: The research query
-            message_history: Optional user conversation history
-
-        Returns:
-            Final report string
-        """
-        self.logger.info("Starting deep research (agent chains)", query=query[:100])
-
-        # Initialize workflow state for deep research
-        try:
-            from src.services.embeddings import get_embedding_service
-
-            embedding_service = get_embedding_service()
-        except (ImportError, Exception):
-            # If embedding service is unavailable, initialize without it
-            embedding_service = None
-            self.logger.debug("Embedding service unavailable, initializing state without it")
-
-        init_workflow_state(embedding_service=embedding_service, message_history=message_history)
-        self.logger.debug("Workflow state initialized for deep research")
-
-        # 1. Build report plan
-        report_plan = await self._build_report_plan(query, message_history)
-        self.logger.info(
-            "Report plan created",
-            sections=len(report_plan.report_outline),
-            title=report_plan.report_title,
-        )
-
-        # 2. Run parallel research loops with state synchronization
-        section_drafts = await self._run_research_loops(report_plan, message_history)
-
-        # Verify state synchronization - log evidence count
-        state = get_workflow_state()
-        self.logger.info(
-            "State synchronization complete",
-            total_evidence=len(state.evidence),
-            sections_completed=len(section_drafts),
-        )
-
-        # 3. Create final report
-        final_report = await self._create_final_report(query, report_plan, section_drafts)
-
-        self.logger.info(
-            "Deep research completed",
-            sections=len(section_drafts),
-            final_report_length=len(final_report),
-        )
-
-        return final_report
-
-    async def _run_with_graph(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> str:
-        """
-        Run the deep research flow using graph execution.
-
-        Args:
-            query: The research query
-            message_history: Optional user conversation history
-
-        Returns:
-            Final report string
-        """
-        self.logger.info("Starting deep research (graph execution)", query=query[:100])
-
-        # Create graph orchestrator (lazy initialization)
-        if self._graph_orchestrator is None:
-            self._graph_orchestrator = create_graph_orchestrator(
-                mode="deep",
-                max_iterations=self.max_iterations,
-                max_time_minutes=self.max_time_minutes,
-                use_graph=True,
-            )
-
-        # Run orchestrator and collect events
-        final_report = ""
-        async for event in self._graph_orchestrator.run(query, message_history=message_history):
-            if event.type == "complete":
-                final_report = event.message
-                break
-            elif event.type == "error":
-                self.logger.error("Graph execution error", error=event.message)
-                raise RuntimeError(f"Graph execution failed: {event.message}")
-
-        if not final_report:
-            self.logger.warning("No complete event received from graph orchestrator")
-            final_report = "Research completed but no report was generated."
-
-        self.logger.info("Deep research completed (graph execution)")
-
-        return final_report
-
-    async def _build_report_plan(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> ReportPlan:
-        """Build the initial report plan."""
-        self.logger.info("Building report plan")
-
-        # Build input prompt for token estimation
-        input_prompt = f"QUERY: {query}"
-
-        # Planner agent may not support message_history yet, so we'll pass it if available
-        # For now, just use the standard run() call
-        report_plan = await self.planner_agent.run(query)
-
-        # Track tokens for planner agent
-        if not self.use_graph and hasattr(self, "budget_tracker"):
-            plan_text = (
-                f"title={report_plan.report_title}, sections={len(report_plan.report_outline)}"
-            )
-            estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(input_prompt, plan_text)
-            self.budget_tracker.add_tokens(self.loop_id, estimated_tokens)
-            self.logger.debug(
-                "Tokens tracked for planner agent",
-                tokens=estimated_tokens,
-            )
-
-        self.logger.info(
-            "Report plan created",
-            sections=len(report_plan.report_outline),
-            has_background=bool(report_plan.background_context),
-        )
-
-        return report_plan
-
-    async def _run_research_loops(
-        self, report_plan: ReportPlan, message_history: list[ModelMessage] | None = None
-    ) -> list[str]:
-        """Run parallel iterative research loops for each section."""
-        self.logger.info("Running research loops", sections=len(report_plan.report_outline))
-
-        # Create workflow manager for parallel execution
-        workflow_manager = WorkflowManager()
-
-        # Create loop configurations
-        loop_configs = [
-            {
-                "loop_id": f"section_{i}",
-                "query": section.key_question,
-                "section_title": section.title,
-                "background_context": report_plan.background_context,
-            }
-            for i, section in enumerate(report_plan.report_outline)
-        ]
-
-        async def run_research_for_section(config: dict[str, Any]) -> str:
-            """Run iterative research for a single section."""
-            loop_id = config.get("loop_id", "unknown")
-            query = config.get("query", "")
-            background_context = config.get("background_context", "")
-
-            try:
-                # Update loop status
-                await workflow_manager.update_loop_status(loop_id, "running")
-
-                # Create iterative research flow
-                flow = IterativeResearchFlow(
-                    max_iterations=self.max_iterations,
-                    max_time_minutes=self.max_time_minutes,
-                    verbose=self.verbose,
-                    use_graph=self.use_graph,
-                    judge_handler=self.judge_handler if not self.use_graph else None,
-                )
-
-                # Run research with message_history
-                result = await flow.run(
-                    query=query,
-                    background_context=background_context,
-                    message_history=message_history,
-                )
-
-                # Sync evidence from flow to loop
-                state = get_workflow_state()
-                if state.evidence:
-                    await workflow_manager.add_loop_evidence(loop_id, state.evidence)
-
-                # Update loop status
-                await workflow_manager.update_loop_status(loop_id, "completed")
-
-                return result
-
-            except Exception as e:
-                error_msg = str(e)
-                await workflow_manager.update_loop_status(loop_id, "failed", error=error_msg)
-                self.logger.error(
-                    "Section research failed",
-                    loop_id=loop_id,
-                    error=error_msg,
-                )
-                raise
-
-        # Run all sections in parallel using workflow manager
-        section_drafts = await workflow_manager.run_loops_parallel(
-            loop_configs=loop_configs,
-            loop_func=run_research_for_section,
-            judge_handler=self.judge_handler if not self.use_graph else None,
-            budget_tracker=self.budget_tracker if not self.use_graph else None,
-        )
-
-        # Sync evidence from all loops to global state
-        for config in loop_configs:
-            loop_id = config.get("loop_id")
-            if loop_id:
-                await workflow_manager.sync_loop_evidence_to_state(loop_id)
-
-        # Filter out None results (failed loops)
-        section_drafts = [draft for draft in section_drafts if draft is not None]
-
-        self.logger.info(
-            "Research loops completed",
-            drafts=len(section_drafts),
-            total_sections=len(report_plan.report_outline),
-        )
-
-        return section_drafts
-
-    async def _create_final_report(
-        self, query: str, report_plan: ReportPlan, section_drafts: list[str]
-    ) -> str:
-        """Create final report from section drafts."""
-        self.logger.info("Creating final report")
-
-        # Create ReportDraft from section drafts
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title=section.title,
-                    section_content=draft,
-                )
-                for section, draft in zip(report_plan.report_outline, section_drafts, strict=False)
-            ]
-        )
-
-        # Build input prompt for token estimation
-        draft_text = "\n".join(
-            [s.section_content[:500] for s in report_draft.sections[:5]]
-        )  # Sample
-        input_prompt = f"QUERY: {query}\nTITLE: {report_plan.report_title}\nDRAFT: {draft_text}"
-
-        if self.use_long_writer:
-            # Use long writer agent
-            final_report = await self.long_writer_agent.write_report(
-                original_query=query,
-                report_title=report_plan.report_title,
-                report_draft=report_draft,
-            )
-        else:
-            # Use proofreader agent
-            final_report = await self.proofreader_agent.proofread(
-                query=query,
-                report_draft=report_draft,
-            )
-
-        # Track tokens for final report synthesis
-        if not self.use_graph and hasattr(self, "budget_tracker"):
-            estimated_tokens = self.budget_tracker.estimate_llm_call_tokens(
-                input_prompt, final_report
-            )
-            self.budget_tracker.add_tokens(self.loop_id, estimated_tokens)
-            self.logger.debug(
-                "Tokens tracked for final report synthesis",
-                tokens=estimated_tokens,
-                agent="long_writer" if self.use_long_writer else "proofreader",
-            )
-
-        # Save report to file if enabled
-        try:
-            file_service = self._get_file_service()
-            if file_service:
-                file_path = file_service.save_report(
-                    report_content=final_report,
-                    query=query,
-                )
-                self.logger.info("Report saved to file", file_path=file_path)
-        except Exception as e:
-            # Don't fail the entire operation if file saving fails
-            self.logger.warning("Failed to save report to file", error=str(e))
-
-        self.logger.info("Final report created", length=len(final_report))
-
-        return final_report
diff --git a/src/orchestrator_factory.py b/src/orchestrator_factory.py
deleted file mode 100644
index 44f8b93a5cd75a600a040258ab3da24f0ea9d2f6..0000000000000000000000000000000000000000
--- a/src/orchestrator_factory.py
+++ /dev/null
@@ -1,115 +0,0 @@
-"""Factory for creating orchestrators."""
-
-from typing import Any, Literal
-
-import structlog
-
-from src.legacy_orchestrator import (
-    JudgeHandlerProtocol,
-    Orchestrator,
-    SearchHandlerProtocol,
-)
-from src.utils.config import settings
-from src.utils.models import OrchestratorConfig
-
-logger = structlog.get_logger()
-
-
-def _get_magentic_orchestrator_class() -> Any:
-    """Import MagenticOrchestrator lazily to avoid hard dependency."""
-    try:
-        from src.orchestrator_magentic import MagenticOrchestrator
-
-        return MagenticOrchestrator
-    except ImportError as e:
-        logger.error("Failed to import MagenticOrchestrator", error=str(e))
-        raise ValueError(
-            "Advanced mode requires agent-framework-core. Please install it or use mode='simple'."
-        ) from e
-
-
-def _get_graph_orchestrator_factory() -> Any:
-    """Import create_graph_orchestrator lazily to avoid circular dependencies."""
-    try:
-        from src.orchestrator.graph_orchestrator import create_graph_orchestrator
-
-        return create_graph_orchestrator
-    except ImportError as e:
-        logger.error("Failed to import create_graph_orchestrator", error=str(e))
-        raise ValueError(
-            "Graph orchestrators require Pydantic Graph. Please check dependencies."
-        ) from e
-
-
-def create_orchestrator(
-    search_handler: SearchHandlerProtocol | None = None,
-    judge_handler: JudgeHandlerProtocol | None = None,
-    config: OrchestratorConfig | None = None,
-    mode: Literal["simple", "magentic", "advanced", "iterative", "deep", "auto"] | None = None,
-    oauth_token: str | None = None,
-) -> Any:
-    """
-    Create an orchestrator instance.
-
-    Args:
-        search_handler: The search handler (required for simple mode)
-        judge_handler: The judge handler (required for simple mode)
-        config: Optional configuration
-        mode: Orchestrator mode - "simple", "advanced", "iterative", "deep", "auto", or None (auto-detect)
-            - "simple": Linear search-judge loop (Free Tier)
-            - "advanced": Multi-agent coordination (Requires OpenAI)
-            - "iterative": Knowledge-gap-driven research (Free Tier)
-            - "deep": Parallel section-based research (Free Tier)
-            - "auto": Intelligent mode detection (Free Tier)
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Orchestrator instance
-    """
-    effective_mode = _determine_mode(mode)
-    logger.info("Creating orchestrator", mode=effective_mode)
-
-    if effective_mode == "advanced":
-        orchestrator_cls = _get_magentic_orchestrator_class()
-        return orchestrator_cls(
-            max_rounds=config.max_iterations if config else 10,
-        )
-
-    # Graph-based orchestrators (iterative, deep, auto)
-    if effective_mode in ("iterative", "deep", "auto"):
-        create_graph_orchestrator = _get_graph_orchestrator_factory()
-        return create_graph_orchestrator(
-            mode=effective_mode,  # type: ignore[arg-type]
-            max_iterations=config.max_iterations if config else 5,
-            max_time_minutes=10,
-            use_graph=True,
-            search_handler=search_handler,
-            judge_handler=judge_handler,
-            oauth_token=oauth_token,
-        )
-
-    # Simple mode requires handlers
-    if search_handler is None or judge_handler is None:
-        raise ValueError("Simple mode requires search_handler and judge_handler")
-
-    return Orchestrator(
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        config=config,
-    )
-
-
-def _determine_mode(explicit_mode: str | None) -> str:
-    """Determine which mode to use."""
-    if explicit_mode:
-        if explicit_mode in ("magentic", "advanced"):
-            return "advanced"
-        if explicit_mode in ("iterative", "deep", "auto"):
-            return explicit_mode
-        return "simple"
-
-    # Auto-detect: advanced if paid API key available, otherwise simple
-    if settings.has_openai_key:
-        return "advanced"
-
-    return "simple"
diff --git a/src/orchestrator_hierarchical.py b/src/orchestrator_hierarchical.py
deleted file mode 100644
index a7bfb85adc874c60bd7ab84c49e0990cc2f1a620..0000000000000000000000000000000000000000
--- a/src/orchestrator_hierarchical.py
+++ /dev/null
@@ -1,109 +0,0 @@
-"""Hierarchical orchestrator using middleware and sub-teams."""
-
-import asyncio
-from collections.abc import AsyncGenerator
-from typing import Any
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-
-from src.agents.judge_agent_llm import LLMSubIterationJudge
-from src.agents.magentic_agents import create_search_agent
-from src.middleware.sub_iteration import SubIterationMiddleware, SubIterationTeam
-from src.services.embeddings import get_embedding_service
-from src.state import init_magentic_state
-from src.utils.models import AgentEvent
-
-logger = structlog.get_logger()
-
-
-class ResearchTeam(SubIterationTeam):
-    """Adapts Magentic ChatAgent to SubIterationTeam protocol."""
-
-    def __init__(self) -> None:
-        self.agent = create_search_agent()
-
-    async def execute(self, task: str) -> str:
-        response = await self.agent.run(task)
-        if response.messages:
-            for msg in reversed(response.messages):
-                if msg.role == "assistant" and msg.text:
-                    return str(msg.text)
-        return "No response from agent."
-
-
-class HierarchicalOrchestrator:
-    """Orchestrator that uses hierarchical teams and sub-iterations."""
-
-    def __init__(self) -> None:
-        self.team = ResearchTeam()
-        self.judge = LLMSubIterationJudge()
-        self.middleware = SubIterationMiddleware(self.team, self.judge, max_iterations=5)
-
-    async def run(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> AsyncGenerator[AgentEvent, None]:
-        logger.info(
-            "Starting hierarchical orchestrator",
-            query=query,
-            has_history=bool(message_history),
-        )
-
-        try:
-            service = get_embedding_service()
-            init_magentic_state(service)
-        except Exception as e:
-            logger.warning(
-                "Embedding service initialization failed, using default state",
-                error=str(e),
-            )
-            init_magentic_state()
-
-        yield AgentEvent(type="started", message=f"Starting research: {query}")
-
-        queue: asyncio.Queue[AgentEvent | None] = asyncio.Queue()
-
-        async def event_callback(event: AgentEvent) -> None:
-            await queue.put(event)
-
-        # Note: middleware.run() may not support message_history yet
-        # Pass query for now, message_history can be added to middleware later if needed
-        task_future = asyncio.create_task(self.middleware.run(query, event_callback))
-
-        while not task_future.done():
-            get_event = asyncio.create_task(queue.get())
-            done, _ = await asyncio.wait(
-                {task_future, get_event}, return_when=asyncio.FIRST_COMPLETED
-            )
-
-            if get_event in done:
-                event = get_event.result()
-                if event:
-                    yield event
-            else:
-                get_event.cancel()
-
-        # Process remaining events
-        while not queue.empty():
-            ev = queue.get_nowait()
-            if ev:
-                yield ev
-
-        try:
-            result, assessment = await task_future
-
-            assessment_text = assessment.reasoning if assessment else "None"
-            yield AgentEvent(
-                type="complete",
-                message=(
-                    f"Research complete.\n\nResult:\n{result}\n\nAssessment:\n{assessment_text}"
-                ),
-                data={"assessment": assessment.model_dump() if assessment else None},
-            )
-        except Exception as e:
-            logger.error("Orchestrator failed", error=str(e))
-            yield AgentEvent(type="error", message=f"Orchestrator failed: {e}")
diff --git a/src/orchestrator_magentic.py b/src/orchestrator_magentic.py
deleted file mode 100644
index 416d896830c42c7e1ff5a1304db3eb06cb00dc4b..0000000000000000000000000000000000000000
--- a/src/orchestrator_magentic.py
+++ /dev/null
@@ -1,271 +0,0 @@
-"""Magentic-based orchestrator using ChatAgent pattern."""
-
-from collections.abc import AsyncGenerator
-from typing import TYPE_CHECKING, Any
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage
-except ImportError:
-    ModelMessage = Any  # type: ignore[assignment, misc]
-from agent_framework import (
-    MagenticAgentDeltaEvent,
-    MagenticAgentMessageEvent,
-    MagenticBuilder,
-    MagenticFinalResultEvent,
-    MagenticOrchestratorMessageEvent,
-    WorkflowOutputEvent,
-)
-
-from src.agents.magentic_agents import (
-    create_hypothesis_agent,
-    create_judge_agent,
-    create_report_agent,
-    create_search_agent,
-)
-from src.agents.state import init_magentic_state
-from src.utils.llm_factory import check_magentic_requirements, get_chat_client_for_agent
-from src.utils.models import AgentEvent
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-
-logger = structlog.get_logger()
-
-
-class MagenticOrchestrator:
-    """
-    Magentic-based orchestrator using ChatAgent pattern.
-
-    Each agent has an internal LLM that understands natural language
-    instructions from the manager and can call tools appropriately.
-    """
-
-    def __init__(
-        self,
-        max_rounds: int = 10,
-        chat_client: Any | None = None,
-    ) -> None:
-        """Initialize orchestrator.
-
-        Args:
-            max_rounds: Maximum coordination rounds
-            chat_client: Optional shared chat client for agents.
-                        If None, uses factory default (HuggingFace preferred, OpenAI fallback)
-        """
-        # Validate requirements via centralized factory
-        check_magentic_requirements()
-
-        self._max_rounds = max_rounds
-        self._chat_client = chat_client
-
-    def _init_embedding_service(self) -> "EmbeddingService | None":
-        """Initialize embedding service if available."""
-        try:
-            from src.services.embeddings import get_embedding_service
-
-            service = get_embedding_service()
-            logger.info("Embedding service enabled")
-            return service
-        except ImportError:
-            logger.info("Embedding service not available (dependencies missing)")
-        except Exception as e:
-            logger.warning("Failed to initialize embedding service", error=str(e))
-        return None
-
-    def _build_workflow(self) -> Any:
-        """Build the Magentic workflow with ChatAgent participants."""
-        # Create agents with internal LLMs
-        search_agent = create_search_agent(self._chat_client)
-        judge_agent = create_judge_agent(self._chat_client)
-        hypothesis_agent = create_hypothesis_agent(self._chat_client)
-        report_agent = create_report_agent(self._chat_client)
-
-        # Manager chat client (orchestrates the agents)
-        # Use same client type as agents for consistency
-        manager_client = self._chat_client or get_chat_client_for_agent()
-
-        return (
-            MagenticBuilder()
-            .participants(
-                searcher=search_agent,
-                hypothesizer=hypothesis_agent,
-                judge=judge_agent,
-                reporter=report_agent,
-            )
-            .with_standard_manager(
-                chat_client=manager_client,
-                max_round_count=self._max_rounds,
-                max_stall_count=3,
-                max_reset_count=2,
-            )
-            .build()
-        )
-
-    async def run(
-        self, query: str, message_history: list[ModelMessage] | None = None
-    ) -> AsyncGenerator[AgentEvent, None]:
-        """
-        Run the Magentic workflow.
-
-        Args:
-            query: User's research question
-            message_history: Optional user conversation history (for compatibility)
-
-        Yields:
-            AgentEvent objects for real-time UI updates
-        """
-        logger.info(
-            "Starting Magentic orchestrator",
-            query=query,
-            has_history=bool(message_history),
-        )
-
-        yield AgentEvent(
-            type="started",
-            message=f"Starting research (Magentic mode): {query}",
-            iteration=0,
-        )
-
-        # Initialize context state
-        embedding_service = self._init_embedding_service()
-        init_magentic_state(embedding_service)
-
-        workflow = self._build_workflow()
-
-        # Include conversation history context if provided
-        history_context = ""
-        if message_history:
-            # Convert message history to string context for task
-            from src.utils.message_history import message_history_to_string
-
-            history_str = message_history_to_string(message_history, max_messages=5)
-            if history_str:
-                history_context = f"\n\nPrevious conversation context:\n{history_str}"
-
-        task = f"""Research query: {query}{history_context}
-
-Workflow:
-1. SearchAgent: Find evidence from available sources (automatically selects: web search, PubMed, ClinicalTrials.gov, Europe PMC, or RAG based on query)
-2. HypothesisAgent: Generate research hypotheses and questions based on evidence
-3. JudgeAgent: Evaluate if evidence is sufficient to answer the query precisely
-4. If insufficient -> SearchAgent refines search based on identified gaps
-5. If sufficient -> ReportAgent synthesizes final comprehensive report
-
-Focus on:
-- Finding precise answers to the research question
-- Identifying all relevant evidence from appropriate sources
-- Understanding mechanisms, relationships, and key findings
-- Synthesizing comprehensive findings with proper citations
-
-The DETERMINATOR stops at nothing until finding precise answers, only stopping at configured limits (budget, time, iterations).
-
-The final output should be a structured research report with comprehensive evidence synthesis."""
-
-        iteration = 0
-        try:
-            async for event in workflow.run_stream(task):
-                agent_event = self._process_event(event, iteration)
-                if agent_event:
-                    if isinstance(event, MagenticAgentMessageEvent):
-                        iteration += 1
-                    yield agent_event
-
-        except Exception as e:
-            logger.error("Magentic workflow failed", error=str(e))
-            yield AgentEvent(
-                type="error",
-                message=f"Workflow error: {e!s}",
-                iteration=iteration,
-            )
-
-    def _extract_text(self, message: Any) -> str:
-        """
-        Defensively extract text from a message object.
-
-        Fixes bug where message.text might return the object itself or its repr.
-        """
-        if not message:
-            return ""
-
-        # Priority 1: .content (often the raw string or list of content)
-        if hasattr(message, "content") and message.content:
-            content = message.content
-            # If it's a list (e.g., Multi-modal), join text parts
-            if isinstance(content, list):
-                return " ".join([str(c.text) for c in content if hasattr(c, "text")])
-            return str(content)
-
-        # Priority 2: .text (standard, but sometimes buggy/missing)
-        if hasattr(message, "text") and message.text:
-            # Verify it's not the object itself or a repr string
-            text = str(message.text)
-            if text.startswith("<") and "object at" in text:
-                # Likely a repr string, ignore if possible
-                pass
-            else:
-                return text
-
-        # Fallback: If we can't find clean text, return str(message)
-        # taking care to avoid infinite recursion if str() calls .text
-        return str(message)
-
-    def _process_event(self, event: Any, iteration: int) -> AgentEvent | None:
-        """Process workflow event into AgentEvent."""
-        if isinstance(event, MagenticOrchestratorMessageEvent):
-            text = self._extract_text(event.message)
-            if text:
-                return AgentEvent(
-                    type="judging",
-                    message=f"Manager ({event.kind}): {text[:200]}...",
-                    iteration=iteration,
-                )
-
-        elif isinstance(event, MagenticAgentMessageEvent):
-            agent_name = event.agent_id or "unknown"
-            text = self._extract_text(event.message)
-
-            event_type = "judging"
-            if "search" in agent_name.lower():
-                event_type = "search_complete"
-            elif "judge" in agent_name.lower():
-                event_type = "judge_complete"
-            elif "hypothes" in agent_name.lower():
-                event_type = "hypothesizing"
-            elif "report" in agent_name.lower():
-                event_type = "synthesizing"
-
-            return AgentEvent(
-                type=event_type,  # type: ignore[arg-type]
-                message=f"{agent_name}: {text[:200]}...",
-                iteration=iteration + 1,
-            )
-
-        elif isinstance(event, MagenticFinalResultEvent):
-            text = self._extract_text(event.message) if event.message else "No result"
-            return AgentEvent(
-                type="complete",
-                message=text,
-                data={"iterations": iteration},
-                iteration=iteration,
-            )
-
-        elif isinstance(event, MagenticAgentDeltaEvent):
-            if event.text:
-                return AgentEvent(
-                    type="streaming",
-                    message=event.text,
-                    data={"agent_id": event.agent_id},
-                    iteration=iteration,
-                )
-
-        elif isinstance(event, WorkflowOutputEvent):
-            if event.data:
-                return AgentEvent(
-                    type="complete",
-                    message=str(event.data),
-                    iteration=iteration,
-                )
-
-        return None
diff --git a/src/prompts/__init__.py b/src/prompts/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/src/prompts/hypothesis.py b/src/prompts/hypothesis.py
deleted file mode 100644
index becfc0a300639d81f538c8a001111a2fdde62574..0000000000000000000000000000000000000000
--- a/src/prompts/hypothesis.py
+++ /dev/null
@@ -1,70 +0,0 @@
-"""Prompts for Hypothesis Agent."""
-
-from typing import TYPE_CHECKING
-
-from src.utils.text_utils import select_diverse_evidence, truncate_at_sentence
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-    from src.utils.models import Evidence
-
-SYSTEM_PROMPT = """You are an expert research scientist functioning as a generalist research assistant.
-
-Your role is to generate research hypotheses, questions, and investigation paths based on evidence from any domain.
-
-IMPORTANT: You are a research assistant. You cannot provide medical advice or answer medical questions directly. Your hypotheses are for research investigation purposes only.
-
-A good hypothesis:
-1. Proposes a MECHANISM or RELATIONSHIP: Explains how things work or relate
-   - For medical: Drug -> Target -> Pathway -> Effect
-   - For technical: Technology -> Mechanism -> Outcome
-   - For business: Strategy -> Market -> Result
-2. Is TESTABLE: Can be supported or refuted by further research
-3. Is SPECIFIC: Names actual entities, processes, or mechanisms
-4. Generates SEARCH QUERIES: Helps find more evidence
-
-Example hypothesis formats:
-- Medical: "Metformin -> AMPK activation -> mTOR inhibition -> autophagy -> amyloid clearance"
-- Technical: "Transformer architecture -> attention mechanism -> improved NLP performance"
-- Business: "Subscription model -> recurring revenue -> higher valuation"
-
-Be specific. Use actual names, technical terms, and precise language when possible."""
-
-
-async def format_hypothesis_prompt(
-    query: str, evidence: list["Evidence"], embeddings: "EmbeddingService | None" = None
-) -> str:
-    """Format prompt for hypothesis generation.
-
-    Uses smart evidence selection instead of arbitrary truncation.
-
-    Args:
-        query: The research query
-        evidence: All collected evidence
-        embeddings: Optional EmbeddingService for diverse selection
-    """
-    # Select diverse, relevant evidence (not arbitrary first 10)
-    # We use n=10 as a reasonable context window limit
-    selected = await select_diverse_evidence(evidence, n=10, query=query, embeddings=embeddings)
-
-    # Format with sentence-aware truncation
-    evidence_text = "\n".join(
-        [
-            f"- **{e.citation.title}** ({e.citation.source}): "
-            f"{truncate_at_sentence(e.content, 300)}"
-            for e in selected
-        ]
-    )
-
-    return f"""Based on the following evidence about "{query}", generate research hypotheses and investigation paths.
-
-## Evidence ({len(selected)} sources selected for diversity)
-{evidence_text}
-
-## Task
-1. Identify key mechanisms, relationships, or processes mentioned in the evidence
-2. Propose testable hypotheses explaining how things work or relate
-3. Rate confidence based on evidence strength
-4. Suggest specific search queries to test each hypothesis
-
-Generate 2-4 hypotheses, prioritized by confidence. Adapt the hypothesis format to the domain of the query (medical, technical, business, etc.)."""
diff --git a/src/prompts/judge.py b/src/prompts/judge.py
deleted file mode 100644
index 9f1ad78480c6c9ea53fdb8b8a6e18c2cd7c1d6bf..0000000000000000000000000000000000000000
--- a/src/prompts/judge.py
+++ /dev/null
@@ -1,108 +0,0 @@
-"""Judge prompts for evidence assessment."""
-
-from src.utils.models import Evidence
-
-SYSTEM_PROMPT = """You are an expert research evidence evaluator for a generalist deep research agent.
-
-Your task is to evaluate evidence from any domain (medical, scientific, technical, business, etc.) and determine if sufficient evidence has been gathered to provide a precise answer to the research question.
-
-IMPORTANT: You are a research assistant. You cannot provide medical advice or answer medical questions directly. Your role is to assess whether enough high-quality evidence has been collected to synthesize comprehensive findings.
-
-## Evaluation Criteria
-
-1. **Mechanism/Explanation Score (0-10)**: How well does the evidence explain the underlying mechanism, process, or concept?
-   - For medical queries: biological mechanisms, pathways, drug actions
-   - For technical queries: how systems work, algorithms, processes
-   - For business queries: market dynamics, business models, strategies
-   - 0-3: No clear explanation, speculative
-   - 4-6: Some insight, but gaps exist
-   - 7-10: Clear, well-supported explanation
-
-2. **Evidence Quality Score (0-10)**: Strength and reliability of the evidence?
-   - For medical: clinical trials, peer-reviewed studies, meta-analyses
-   - For technical: peer-reviewed papers, authoritative sources, verified implementations
-   - For business: market reports, financial data, expert analysis
-   - 0-3: Weak or theoretical evidence only
-   - 4-6: Moderate quality evidence
-   - 7-10: Strong, authoritative evidence
-
-3. **Sufficiency**: Evidence is sufficient when:
-   - Combined scores >= 12 AND
-   - Key questions from the research query are addressed AND
-   - Evidence is comprehensive enough to provide a precise answer
-
-## Output Rules
-
-- Always output valid JSON matching the schema
-- Be conservative: only recommend "synthesize" when truly confident the answer is precise
-- If continuing, suggest specific, actionable search queries to fill gaps
-- Never hallucinate findings, names, or facts not in the evidence
-- Adapt evaluation criteria to the domain of the query (medical vs technical vs business)
-"""
-
-
-def format_user_prompt(question: str, evidence: list[Evidence]) -> str:
-    """
-    Format the user prompt with question and evidence.
-
-    Args:
-        question: The user's research question
-        evidence: List of Evidence objects from search
-
-    Returns:
-        Formatted prompt string
-    """
-    max_content_len = 1500
-
-    def format_single_evidence(i: int, e: Evidence) -> str:
-        content = e.content
-        if len(content) > max_content_len:
-            content = content[:max_content_len] + "..."
-
-        return (
-            f"### Evidence {i + 1}\n"
-            f"**Source**: {e.citation.source.upper()} - {e.citation.title}\n"
-            f"**URL**: {e.citation.url}\n"
-            f"**Date**: {e.citation.date}\n"
-            f"**Content**:\n{content}"
-        )
-
-    evidence_text = "\n\n".join([format_single_evidence(i, e) for i, e in enumerate(evidence)])
-
-    return f"""## Research Question
-{question}
-
-## Available Evidence ({len(evidence)} sources)
-
-{evidence_text}
-
-## Your Task
-
-Evaluate this evidence and determine if it's sufficient to synthesize research findings. Consider the quality, quantity, and relevance of the evidence collected.
-Respond with a JSON object matching the JudgeAssessment schema.
-"""
-
-
-def format_empty_evidence_prompt(question: str) -> str:
-    """
-    Format prompt when no evidence was found.
-
-    Args:
-        question: The user's research question
-
-    Returns:
-        Formatted prompt string
-    """
-    return f"""## Research Question
-{question}
-
-## Available Evidence
-
-No evidence was found from the search.
-
-## Your Task
-
-Since no evidence was found, recommend search queries that might yield better results.
-Set sufficient=False and recommendation=\"continue\".
-Suggest 3-5 specific search queries.
-"""
diff --git a/src/prompts/report.py b/src/prompts/report.py
deleted file mode 100644
index 41257d65f9d7daa0681bd41a6a304580f731c994..0000000000000000000000000000000000000000
--- a/src/prompts/report.py
+++ /dev/null
@@ -1,139 +0,0 @@
-"""Prompts for Report Agent."""
-
-from typing import TYPE_CHECKING, Any
-
-from src.utils.text_utils import select_diverse_evidence, truncate_at_sentence
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-    from src.utils.models import Evidence, MechanismHypothesis
-
-SYSTEM_PROMPT = """You are a scientific writer functioning as a medical peer junior researcher, specializing in research report synthesis.
-
-Your role is to synthesize evidence and findings into a clear, structured research report.
-
-IMPORTANT: You are a research assistant. You cannot answer medical questions or provide medical advice. Your reports synthesize evidence for research purposes only.
-
-A good report:
-1. Has a clear EXECUTIVE SUMMARY (one paragraph, key takeaways)
-2. States the RESEARCH QUESTION clearly
-3. Describes METHODOLOGY (what was searched, how)
-4. Evaluates HYPOTHESES with evidence counts
-5. Separates MECHANISTIC and CLINICAL findings
-6. Lists specific DRUG CANDIDATES
-7. Acknowledges LIMITATIONS honestly
-8. Provides a balanced CONCLUSION
-9. Includes properly formatted REFERENCES
-
-Write in scientific but accessible language. Be specific about evidence strength.
-
-─────────────────────────────────────────────────────────────────────────────
-🚨 CRITICAL: REQUIRED JSON STRUCTURE 🚨
-─────────────────────────────────────────────────────────────────────────────
-
-The `hypotheses_tested` field MUST be a LIST of objects, each with these fields:
-- "hypothesis": the hypothesis text
-- "supported": count of supporting evidence (integer)
-- "contradicted": count of contradicting evidence (integer)
-
-Example:
-  hypotheses_tested: [
-    {"hypothesis": "Metformin -> AMPK -> reduced inflammation", "supported": 3, "contradicted": 1},
-    {"hypothesis": "Aspirin inhibits COX-2 pathway", "supported": 5, "contradicted": 0}
-  ]
-
-The `references` field MUST be a LIST of objects, each with these fields:
-- "title": paper title (string)
-- "authors": author names (string)
-- "source": "pubmed" or "web" (string)
-- "url": the EXACT URL from evidence (string)
-
-Example:
-  references: [
-    {"title": "Metformin and Cancer", "authors": "Smith et al.", "source": "pubmed", "url": "https://pubmed.ncbi.nlm.nih.gov/12345678/"}
-  ]
-
-─────────────────────────────────────────────────────────────────────────────
-🚨 CRITICAL CITATION REQUIREMENTS 🚨
-─────────────────────────────────────────────────────────────────────────────
-
-You MUST follow these rules for the References section:
-
-1. You may ONLY cite papers that appear in the Evidence section above
-2. Every reference URL must EXACTLY match a provided evidence URL
-3. Do NOT invent, fabricate, or hallucinate any references
-4. Do NOT modify paper titles, authors, dates, or URLs
-5. If unsure about a citation, OMIT it rather than guess
-6. Copy URLs exactly as provided - do not create similar-looking URLs
-
-VIOLATION OF THESE RULES PRODUCES DANGEROUS MISINFORMATION.
-─────────────────────────────────────────────────────────────────────────────"""
-
-
-async def format_report_prompt(
-    query: str,
-    evidence: list["Evidence"],
-    hypotheses: list["MechanismHypothesis"],
-    assessment: dict[str, Any],
-    metadata: dict[str, Any],
-    embeddings: "EmbeddingService | None" = None,
-) -> str:
-    """Format prompt for report generation.
-
-    Includes full evidence details for accurate citation.
-    """
-    # Select diverse evidence (not arbitrary truncation)
-    selected = await select_diverse_evidence(evidence, n=20, query=query, embeddings=embeddings)
-
-    # Include FULL citation details for each evidence item
-    # This helps the LLM create accurate references
-    evidence_lines = []
-    for e in selected:
-        authors = ", ".join(e.citation.authors or ["Unknown"])
-        evidence_lines.append(
-            f"- **Title**: {e.citation.title}\n"
-            f"  **URL**: {e.citation.url}\n"
-            f"  **Authors**: {authors}\n"
-            f"  **Date**: {e.citation.date or 'n.d.'}\n"
-            f"  **Source**: {e.citation.source}\n"
-            f"  **Content**: {truncate_at_sentence(e.content, 200)}\n"
-        )
-    evidence_summary = "\n".join(evidence_lines)
-
-    if hypotheses:
-        hypotheses_lines = []
-        for h in hypotheses:
-            hypotheses_lines.append(
-                f"- {h.drug} -> {h.target} -> {h.pathway} -> {h.effect} "
-                f"(Confidence: {h.confidence:.0%})"
-            )
-        hypotheses_summary = "\n".join(hypotheses_lines)
-    else:
-        hypotheses_summary = "No hypotheses generated yet."
-
-    sources = ", ".join(metadata.get("sources", []))
-
-    return f"""Generate a structured research report for the following query.
-
-## Original Query
-{query}
-
-## Evidence Collected ({len(selected)} papers, selected for diversity)
-
-{evidence_summary}
-
-## Hypotheses Generated
-{hypotheses_summary}
-
-## Assessment Scores
-- Mechanism Score: {assessment.get("mechanism_score", "N/A")}/10
-- Clinical Evidence Score: {assessment.get("clinical_score", "N/A")}/10
-- Overall Confidence: {assessment.get("confidence", 0):.0%}
-
-## Metadata
-- Sources Searched: {sources}
-- Search Iterations: {metadata.get("iterations", 0)}
-
-Generate a complete ResearchReport with all sections filled in.
-
-REMINDER: Only cite papers from the Evidence section above. Copy URLs exactly."""
diff --git a/src/services/__init__.py b/src/services/__init__.py
deleted file mode 100644
index 8814096713227b0954dc00c0ff605787d8566151..0000000000000000000000000000000000000000
--- a/src/services/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-"""Services for The DETERMINATOR."""
diff --git a/src/services/audio_processing.py b/src/services/audio_processing.py
deleted file mode 100644
index 588497f99be3b864024bf49d91feb3ad8e5a66db..0000000000000000000000000000000000000000
--- a/src/services/audio_processing.py
+++ /dev/null
@@ -1,145 +0,0 @@
-"""Unified audio processing service for STT and TTS integration."""
-
-from functools import lru_cache
-from typing import Any
-
-import numpy as np
-import structlog
-
-from src.agents.audio_refiner import audio_refiner
-from src.services.stt_gradio import STTService, get_stt_service
-from src.utils.config import settings
-
-logger = structlog.get_logger(__name__)
-
-# Type stub for TTS service (will be imported when available)
-try:
-    from src.services.tts_modal import TTSService, get_tts_service
-
-    _TTS_AVAILABLE = True
-except ImportError:
-    _TTS_AVAILABLE = False
-    TTSService = None  # type: ignore[assignment, misc]
-    get_tts_service = None  # type: ignore[assignment, misc]
-
-
-class AudioService:
-    """Unified audio processing service."""
-
-    def __init__(
-        self,
-        stt_service: STTService | None = None,
-        tts_service: Any | None = None,
-    ) -> None:
-        """Initialize audio service with STT and TTS.
-
-        Args:
-            stt_service: STT service instance (default: get_stt_service())
-            tts_service: TTS service instance (default: get_tts_service() if available)
-        """
-        self.stt = stt_service or get_stt_service()
-
-        # TTS is optional (requires Modal)
-        if tts_service is not None:
-            self.tts = tts_service
-        elif _TTS_AVAILABLE and settings.modal_available:
-            try:
-                self.tts = get_tts_service()  # type: ignore[misc]
-            except Exception as e:
-                logger.warning("tts_service_unavailable", error=str(e))
-                self.tts = None
-        else:
-            self.tts = None
-
-    async def process_audio_input(
-        self,
-        audio_input: tuple[int, np.ndarray[Any, Any]] | None,  # type: ignore[type-arg]
-        hf_token: str | None = None,
-    ) -> str | None:
-        """Process audio input and return transcribed text.
-
-        Args:
-            audio_input: Tuple of (sample_rate, audio_array) or None
-            hf_token: HuggingFace token for authenticated Gradio Spaces
-
-        Returns:
-            Transcribed text string or None if no audio input
-        """
-        if audio_input is None:
-            return None
-
-        try:
-            transcribed_text = await self.stt.transcribe_audio(audio_input, hf_token=hf_token)
-            logger.info("audio_input_processed", text_length=len(transcribed_text))
-            return transcribed_text
-        except Exception as e:
-            logger.error("audio_input_processing_failed", error=str(e))
-            # Return None on failure (graceful degradation)
-            return None
-
-    async def generate_audio_output(
-        self,
-        text: str,
-        voice: str | None = None,
-        speed: float | None = None,
-    ) -> tuple[int, np.ndarray[Any, Any]] | None:  # type: ignore[type-arg]
-        """Generate audio output from text.
-
-        Args:
-            text: Text to synthesize (markdown will be cleaned for audio)
-            voice: Voice ID (default: settings.tts_voice)
-            speed: Speech speed (default: settings.tts_speed)
-
-        Returns:
-            Tuple of (sample_rate, audio_array) or None if TTS unavailable
-        """
-        if self.tts is None:
-            logger.warning("tts_unavailable", message="TTS service not available")
-            return None
-
-        if not text or not text.strip():
-            logger.warning("empty_text_for_tts")
-            return None
-
-        try:
-            # Refine text for audio (remove markdown, citations, etc.)
-            # Use LLM polish if enabled in settings
-            refined_text = await audio_refiner.refine_for_audio(
-                text, use_llm_polish=settings.tts_use_llm_polish
-            )
-            logger.info(
-                "text_refined_for_audio",
-                original_length=len(text),
-                refined_length=len(refined_text),
-                llm_polish_enabled=settings.tts_use_llm_polish,
-            )
-
-            # Use provided voice/speed or fallback to settings defaults
-            voice = voice if voice else settings.tts_voice
-            speed = speed if speed is not None else settings.tts_speed
-
-            audio_output = await self.tts.synthesize_async(refined_text, voice, speed)  # type: ignore[misc]
-
-            if audio_output:
-                logger.info(
-                    "audio_output_generated",
-                    text_length=len(text),
-                    sample_rate=audio_output[0],
-                )
-
-            return audio_output  # type: ignore[no-any-return]
-
-        except Exception as e:
-            logger.error("audio_output_generation_failed", error=str(e))
-            # Return None on failure (graceful degradation)
-            return None
-
-
-@lru_cache(maxsize=1)
-def get_audio_service() -> AudioService:
-    """Get or create singleton audio service instance.
-
-    Returns:
-        AudioService instance
-    """
-    return AudioService()
diff --git a/src/services/embeddings.py b/src/services/embeddings.py
deleted file mode 100644
index 7544b985ec2b2af45be169f6cd58660f028b09c3..0000000000000000000000000000000000000000
--- a/src/services/embeddings.py
+++ /dev/null
@@ -1,172 +0,0 @@
-"""Embedding service for semantic search.
-
-IMPORTANT: All public methods are async to avoid blocking the event loop.
-The sentence-transformers model is CPU-bound, so we use run_in_executor().
-"""
-
-import asyncio
-from typing import Any
-
-import chromadb
-import structlog
-from sentence_transformers import SentenceTransformer
-
-from src.utils.config import settings
-from src.utils.models import Evidence
-
-
-class EmbeddingService:
-    """Handles text embedding and vector storage using local sentence-transformers.
-
-    All embedding operations run in a thread pool to avoid blocking
-    the async event loop.
-
-    Note:
-        Uses local sentence-transformers models (no API key required).
-        Model is configured via settings.local_embedding_model.
-    """
-
-    def __init__(self, model_name: str | None = None):
-        self._model_name = model_name or settings.local_embedding_model
-        self._model = SentenceTransformer(self._model_name)
-        self._client = chromadb.Client()  # In-memory for hackathon
-        self._collection = self._client.create_collection(
-            name="evidence", metadata={"hnsw:space": "cosine"}
-        )
-
-    # ─────────────────────────────────────────────────────────────────
-    # Sync internal methods (run in thread pool)
-    # ─────────────────────────────────────────────────────────────────
-
-    def _sync_embed(self, text: str) -> list[float]:
-        """Synchronous embedding - DO NOT call directly from async code."""
-        result: list[float] = self._model.encode(text).tolist()
-        return result
-
-    def _sync_batch_embed(self, texts: list[str]) -> list[list[float]]:
-        """Batch embedding for efficiency - DO NOT call directly from async code."""
-        embeddings = self._model.encode(texts)
-        return [e.tolist() for e in embeddings]
-
-    # ─────────────────────────────────────────────────────────────────
-    # Async public methods (safe for event loop)
-    # ─────────────────────────────────────────────────────────────────
-
-    async def embed(self, text: str) -> list[float]:
-        """Embed a single text (async-safe).
-
-        Uses run_in_executor to avoid blocking the event loop.
-        """
-        loop = asyncio.get_running_loop()
-        return await loop.run_in_executor(None, self._sync_embed, text)
-
-    async def embed_batch(self, texts: list[str]) -> list[list[float]]:
-        """Batch embed multiple texts (async-safe, more efficient)."""
-        loop = asyncio.get_running_loop()
-        return await loop.run_in_executor(None, self._sync_batch_embed, texts)
-
-    async def add_evidence(self, evidence_id: str, content: str, metadata: dict[str, Any]) -> None:
-        """Add evidence to vector store (async-safe)."""
-        embedding = await self.embed(content)
-        # ChromaDB operations are fast, but wrap for consistency
-        loop = asyncio.get_running_loop()
-        await loop.run_in_executor(
-            None,
-            lambda: self._collection.add(
-                ids=[evidence_id],
-                embeddings=[embedding],  # type: ignore[arg-type]
-                metadatas=[metadata],
-                documents=[content],
-            ),
-        )
-
-    async def search_similar(self, query: str, n_results: int = 5) -> list[dict[str, Any]]:
-        """Find semantically similar evidence (async-safe)."""
-        query_embedding = await self.embed(query)
-
-        loop = asyncio.get_running_loop()
-        results = await loop.run_in_executor(
-            None,
-            lambda: self._collection.query(
-                query_embeddings=[query_embedding],  # type: ignore[arg-type]
-                n_results=n_results,
-            ),
-        )
-
-        # Handle empty results gracefully
-        ids = results.get("ids")
-        docs = results.get("documents")
-        metas = results.get("metadatas")
-        dists = results.get("distances")
-
-        if not ids or not ids[0] or not docs or not metas or not dists:
-            return []
-
-        return [
-            {"id": id, "content": doc, "metadata": meta, "distance": dist}
-            for id, doc, meta, dist in zip(
-                ids[0],
-                docs[0],
-                metas[0],
-                dists[0],
-                strict=False,
-            )
-        ]
-
-    async def deduplicate(
-        self, new_evidence: list[Evidence], threshold: float = 0.9
-    ) -> list[Evidence]:
-        """Remove semantically duplicate evidence (async-safe).
-
-        Args:
-            new_evidence: List of evidence items to deduplicate
-            threshold: Similarity threshold (0.9 = 90% similar is duplicate).
-                      ChromaDB cosine distance: 0=identical, 2=opposite.
-                      We consider duplicate if distance < (1 - threshold).
-
-        Returns:
-            List of unique evidence items (not already in vector store).
-        """
-        unique = []
-        for evidence in new_evidence:
-            try:
-                similar = await self.search_similar(evidence.content, n_results=1)
-                # ChromaDB cosine distance: 0 = identical, 2 = opposite
-                # threshold=0.9 means distance < 0.1 is considered duplicate
-                is_duplicate = similar and similar[0]["distance"] < (1 - threshold)
-
-                if not is_duplicate:
-                    unique.append(evidence)
-                    # Store FULL citation metadata for reconstruction later
-                    await self.add_evidence(
-                        evidence_id=evidence.citation.url,
-                        content=evidence.content,
-                        metadata={
-                            "source": evidence.citation.source,
-                            "title": evidence.citation.title,
-                            "date": evidence.citation.date,
-                            "authors": ",".join(evidence.citation.authors or []),
-                        },
-                    )
-            except Exception as e:
-                # Log but don't fail entire deduplication for one bad item
-                structlog.get_logger().warning(
-                    "Failed to process evidence in deduplicate",
-                    url=evidence.citation.url,
-                    error=str(e),
-                )
-                # Still add to unique list - better to have duplicates than lose data
-                unique.append(evidence)
-
-        return unique
-
-
-_embedding_service: EmbeddingService | None = None
-
-
-def get_embedding_service() -> EmbeddingService:
-    """Get singleton instance of EmbeddingService."""
-    global _embedding_service  # noqa: PLW0603
-    if _embedding_service is None:
-        _embedding_service = EmbeddingService()
-    return _embedding_service
diff --git a/src/services/image_ocr.py b/src/services/image_ocr.py
deleted file mode 100644
index ed8881939dc20dbf42c7776dda876a1d37a5d478..0000000000000000000000000000000000000000
--- a/src/services/image_ocr.py
+++ /dev/null
@@ -1,245 +0,0 @@
-"""Image-to-text service using Gradio Client API (Multimodal-OCR3)."""
-
-import asyncio
-import tempfile
-from functools import lru_cache
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-import structlog
-from gradio_client import Client, handle_file
-from PIL import Image
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger(__name__)
-
-
-class ImageOCRService:
-    """Image OCR service using prithivMLmods/Multimodal-OCR3 Gradio Space."""
-
-    def __init__(self, api_url: str | None = None, hf_token: str | None = None) -> None:
-        """Initialize Image OCR service.
-
-        Args:
-            api_url: Gradio Space URL (default: settings.ocr_api_url)
-            hf_token: HuggingFace token for authenticated Spaces (default: None)
-
-        Raises:
-            ConfigurationError: If API URL not configured
-        """
-        # Defensively access ocr_api_url - may not exist in older config versions
-        default_url = (
-            getattr(settings, "ocr_api_url", None)
-            or "https://prithivmlmods-multimodal-ocr3.hf.space"
-        )
-        self.api_url = api_url or default_url
-        if not self.api_url:
-            raise ConfigurationError("OCR API URL not configured")
-        self.hf_token = hf_token
-        self.client: Client | None = None
-
-    async def _get_client(self, hf_token: str | None = None) -> Client:
-        """Get or create Gradio Client (lazy initialization).
-
-        Args:
-            hf_token: HuggingFace token for authenticated Spaces (overrides instance token)
-
-        Returns:
-            Gradio Client instance
-        """
-        # Use provided token or instance token
-        token = hf_token or self.hf_token
-
-        # If client exists but token changed, recreate it
-        if self.client is not None and token != self.hf_token:
-            self.client = None
-
-        if self.client is None:
-            loop = asyncio.get_running_loop()
-            # Pass token to Client for authenticated Spaces
-            # Gradio Client uses 'token' parameter, not 'hf_token'
-            if token:
-                self.client = await loop.run_in_executor(
-                    None,
-                    lambda: Client(self.api_url, token=token),
-                )
-            else:
-                self.client = await loop.run_in_executor(
-                    None,
-                    lambda: Client(self.api_url),
-                )
-            # Update instance token for future use
-            self.hf_token = token
-        return self.client
-
-    async def extract_text(
-        self,
-        image_path: str,
-        model: str | None = None,
-        hf_token: str | None = None,
-    ) -> str:
-        """Extract text from image using Gradio API.
-
-        Args:
-            image_path: Path to image file
-            model: Optional model selection (default: None, uses API default)
-
-        Returns:
-            Extracted text string
-
-        Raises:
-            ConfigurationError: If OCR extraction fails
-        """
-        client = await self._get_client(hf_token=hf_token)
-
-        logger.info(
-            "extracting_text_from_image",
-            image_path=image_path,
-            model=model,
-        )
-
-        try:
-            # Call /Multimodal_OCR3_generate_image API endpoint
-            # According to the MCP tool description, this yields raw text and Markdown-formatted text
-            loop = asyncio.get_running_loop()
-
-            # The API might require file upload first, then call the generate function
-            # For now, we'll use handle_file to upload and pass the path
-            result = await loop.run_in_executor(
-                None,
-                lambda: client.predict(
-                    image_path=handle_file(image_path),
-                    api_name="/Multimodal_OCR3_generate_image",
-                ),
-            )
-
-            # Extract text from result
-            extracted_text = self._extract_text_from_result(result)
-
-            logger.info(
-                "image_ocr_complete",
-                text_length=len(extracted_text),
-            )
-
-            return extracted_text
-
-        except Exception as e:
-            logger.error("image_ocr_failed", error=str(e), error_type=type(e).__name__)
-            raise ConfigurationError(f"Image OCR failed: {e}") from e
-
-    async def extract_text_from_image(
-        self,
-        image_data: np.ndarray[Any, Any] | Image.Image | str,  # type: ignore[type-arg]
-        hf_token: str | None = None,
-    ) -> str:
-        """Extract text from image data (numpy array, PIL Image, or file path).
-
-        Args:
-            image_data: Image as numpy array, PIL Image, or file path string
-
-        Returns:
-            Extracted text string
-        """
-        # Handle different input types
-        if isinstance(image_data, str):
-            # Assume it's a file path
-            image_path = image_data
-        elif isinstance(image_data, Image.Image):
-            # Save PIL Image to temp file
-            image_path = self._save_image_temp(image_data)
-        elif isinstance(image_data, np.ndarray):
-            # Convert numpy array to PIL Image, then save
-            pil_image = Image.fromarray(image_data)
-            image_path = self._save_image_temp(pil_image)
-        else:
-            raise ValueError(f"Unsupported image data type: {type(image_data)}")
-
-        try:
-            # Extract text from the image file
-            extracted_text = await self.extract_text(image_path, hf_token=hf_token)
-            return extracted_text
-        finally:
-            # Clean up temp file if we created it
-            if image_path != image_data or not isinstance(image_data, str):
-                try:
-                    Path(image_path).unlink(missing_ok=True)
-                except Exception as e:
-                    logger.warning("failed_to_cleanup_temp_file", path=image_path, error=str(e))
-
-    def _extract_text_from_result(self, api_result: Any) -> str:
-        """Extract text from API result.
-
-        Args:
-            api_result: Result from Gradio API
-
-        Returns:
-            Extracted text string
-        """
-        # The API yields raw text and Markdown-formatted text
-        # Result might be a string, tuple, or generator
-        if isinstance(api_result, str):
-            return api_result.strip()
-
-        if isinstance(api_result, tuple):
-            # Try to extract text from tuple
-            for item in api_result:
-                if isinstance(item, str):
-                    return item.strip()
-                # Check if it's a dict with text fields
-                if isinstance(item, dict):
-                    if "text" in item:
-                        return str(item["text"]).strip()
-                    if "content" in item:
-                        return str(item["content"]).strip()
-
-        # If result is a generator or async generator, we'd need to iterate
-        # For now, convert to string representation
-        if api_result is not None:
-            text = str(api_result).strip()
-            if text and text != "None":
-                return text
-
-        logger.warning("could_not_extract_text_from_result", result_type=type(api_result).__name__)
-        return ""
-
-    def _save_image_temp(self, image: Image.Image) -> str:
-        """Save PIL Image to temporary file.
-
-        Args:
-            image: PIL Image object
-
-        Returns:
-            Path to temporary image file
-        """
-        # Create temp file
-        temp_file = tempfile.NamedTemporaryFile(
-            suffix=".png",
-            delete=False,
-        )
-        temp_path = temp_file.name
-        temp_file.close()
-
-        try:
-            # Save image as PNG
-            image.save(temp_path, "PNG")
-
-            logger.debug("saved_image_temp", path=temp_path, size=image.size)
-
-            return temp_path
-
-        except Exception as e:
-            logger.error("failed_to_save_image_temp", error=str(e))
-            raise ConfigurationError(f"Failed to save image to temp file: {e}") from e
-
-
-@lru_cache(maxsize=1)
-def get_image_ocr_service() -> ImageOCRService:
-    """Get or create singleton Image OCR service instance.
-
-    Returns:
-        ImageOCRService instance
-    """
-    return ImageOCRService()
diff --git a/src/services/llamaindex_rag.py b/src/services/llamaindex_rag.py
deleted file mode 100644
index 5de92f55f9751d0cb191f145b2f3e380be8b5ca6..0000000000000000000000000000000000000000
--- a/src/services/llamaindex_rag.py
+++ /dev/null
@@ -1,503 +0,0 @@
-"""LlamaIndex RAG service for evidence retrieval and indexing.
-
-Requires optional dependencies: uv sync --extra modal
-"""
-
-from typing import Any
-
-import structlog
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import Evidence
-
-logger = structlog.get_logger()
-
-
-class LlamaIndexRAGService:
-    """RAG service using LlamaIndex with ChromaDB vector store.
-
-    Supports multiple embedding providers:
-    - OpenAI embeddings (requires OPENAI_API_KEY)
-    - Local sentence-transformers (no API key required)
-    - Hugging Face embeddings (uses local sentence-transformers)
-
-    Supports multiple LLM providers for query synthesis:
-    - HuggingFace LLM (preferred, requires HF_TOKEN or HUGGINGFACE_API_KEY)
-    - OpenAI LLM (fallback, requires OPENAI_API_KEY)
-    - None (embedding-only mode, no query synthesis)
-
-    Note:
-        HuggingFace is the default LLM provider. OpenAI is used as fallback
-        if HuggingFace LLM is not available or no HF token is configured.
-    """
-
-    def __init__(
-        self,
-        collection_name: str = "deepcritical_evidence",
-        persist_dir: str | None = None,
-        embedding_model: str | None = None,
-        similarity_top_k: int = 5,
-        use_openai_embeddings: bool | None = None,
-        use_in_memory: bool = False,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize LlamaIndex RAG service.
-
-        Args:
-            collection_name: Name of the ChromaDB collection
-            persist_dir: Directory to persist ChromaDB data
-            embedding_model: Embedding model name (defaults based on provider)
-            similarity_top_k: Number of top results to retrieve
-            use_openai_embeddings: Force OpenAI embeddings (None = auto-detect)
-            use_in_memory: Use in-memory ChromaDB client (useful for tests)
-            oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        """
-        # Import dependencies and store references
-        deps = self._import_dependencies()
-        self._chromadb = deps["chromadb"]
-        self._Document = deps["Document"]
-        self._Settings = deps["Settings"]
-        self._StorageContext = deps["StorageContext"]
-        self._VectorStoreIndex = deps["VectorStoreIndex"]
-        self._VectorIndexRetriever = deps["VectorIndexRetriever"]
-        self._ChromaVectorStore = deps["ChromaVectorStore"]
-        huggingface_embedding = deps["huggingface_embedding"]
-        huggingface_llm = deps["huggingface_llm"]
-        openai_embedding = deps["OpenAIEmbedding"]
-        openai_llm = deps["OpenAI"]
-
-        # Store basic configuration
-        self.collection_name = collection_name
-        self.persist_dir = persist_dir or settings.chroma_db_path
-        self.similarity_top_k = similarity_top_k
-        self.use_in_memory = use_in_memory
-        self.oauth_token = oauth_token
-
-        # Configure embeddings and LLM
-        use_openai = use_openai_embeddings if use_openai_embeddings is not None else False
-        self._configure_embeddings(
-            use_openai, embedding_model, huggingface_embedding, openai_embedding
-        )
-        self._configure_llm(huggingface_llm, openai_llm)
-
-        # Initialize ChromaDB and index
-        self._initialize_chromadb()
-
-    def _import_dependencies(self) -> dict[str, Any]:
-        """Import LlamaIndex dependencies and return as dict.
-
-        OpenAI dependencies are imported lazily (only when needed) to avoid
-        tiktoken circular import issues on Windows when using local embeddings.
-        """
-        try:
-            import chromadb
-            from llama_index.core import Document, Settings, StorageContext, VectorStoreIndex
-            from llama_index.core.retrievers import VectorIndexRetriever
-            from llama_index.vector_stores.chroma import ChromaVectorStore
-
-            # Try to import Hugging Face embeddings (may not be available in all versions)
-            try:
-                from llama_index.embeddings.huggingface import (
-                    HuggingFaceEmbedding as _HuggingFaceEmbedding,  # type: ignore[import-untyped]
-                )
-
-                huggingface_embedding = _HuggingFaceEmbedding
-            except ImportError:
-                huggingface_embedding = None  # type: ignore[assignment]
-
-            # Try to import Hugging Face Inference API LLM (for API-based models)
-            # This is preferred over local HuggingFaceLLM for query synthesis
-            try:
-                from llama_index.llms.huggingface_api import (
-                    HuggingFaceInferenceAPI as _HuggingFaceInferenceAPI,  # type: ignore[import-untyped]
-                )
-
-                huggingface_llm = _HuggingFaceInferenceAPI
-            except ImportError:
-                # Fallback to local HuggingFaceLLM if API version not available
-                try:
-                    from llama_index.llms.huggingface import (
-                        HuggingFaceLLM as _HuggingFaceLLM,  # type: ignore[import-untyped]
-                    )
-
-                    huggingface_llm = _HuggingFaceLLM  # type: ignore[assignment]
-                except ImportError:
-                    huggingface_llm = None  # type: ignore[assignment]
-
-            # OpenAI imports are optional - only import when actually needed
-            # This avoids tiktoken circular import issues on Windows
-            try:
-                from llama_index.embeddings.openai import OpenAIEmbedding
-            except ImportError:
-                OpenAIEmbedding = None  # type: ignore[assignment, misc]  # noqa: N806
-
-            try:
-                from llama_index.llms.openai import OpenAI
-            except ImportError:
-                OpenAI = None  # type: ignore[assignment, misc]  # noqa: N806
-
-            return {
-                "chromadb": chromadb,
-                "Document": Document,
-                "Settings": Settings,
-                "StorageContext": StorageContext,
-                "VectorStoreIndex": VectorStoreIndex,
-                "VectorIndexRetriever": VectorIndexRetriever,
-                "ChromaVectorStore": ChromaVectorStore,
-                "OpenAIEmbedding": OpenAIEmbedding,
-                "OpenAI": OpenAI,
-                "huggingface_embedding": huggingface_embedding,
-                "huggingface_llm": huggingface_llm,
-            }
-        except ImportError as e:
-            raise ImportError(
-                "LlamaIndex dependencies not installed. Run: uv sync --extra modal"
-            ) from e
-
-    def _configure_embeddings(
-        self,
-        use_openai_embeddings: bool,
-        embedding_model: str | None,
-        huggingface_embedding: Any,
-        openai_embedding: Any,
-    ) -> None:
-        """Configure embedding model."""
-        if use_openai_embeddings:
-            if openai_embedding is None:
-                raise ConfigurationError(
-                    "OpenAI embeddings not available. Install with: uv sync --extra modal"
-                )
-            if not settings.openai_api_key:
-                raise ConfigurationError("OPENAI_API_KEY required for OpenAI embeddings")
-            self.embedding_model = embedding_model or settings.openai_embedding_model
-            self._Settings.embed_model = openai_embedding(
-                model=self.embedding_model,
-                api_key=settings.openai_api_key,
-            )
-        else:
-            model_name = embedding_model or settings.huggingface_embedding_model
-            self.embedding_model = model_name
-            if huggingface_embedding is not None:
-                self._Settings.embed_model = huggingface_embedding(model_name=model_name)
-            else:
-                self._Settings.embed_model = self._create_sentence_transformer_embedding(model_name)
-
-    def _create_sentence_transformer_embedding(self, model_name: str) -> Any:
-        """Create sentence-transformer embedding wrapper.
-
-        Note: sentence-transformers is a required dependency (in pyproject.toml).
-        If this fails, it's likely a Windows-specific regex package issue.
-
-        Raises:
-            ConfigurationError: If sentence_transformers cannot be imported
-                (e.g., due to circular import issues on Windows with regex package)
-        """
-        try:
-            from sentence_transformers import SentenceTransformer
-        except ImportError as e:
-            # Handle Windows-specific circular import issues with regex package
-            # This is a known bug: https://github.com/mrabarnett/mrab-regex/issues/417
-            error_msg = str(e)
-            if "regex" in error_msg.lower() or "_regex" in error_msg:
-                raise ConfigurationError(
-                    "sentence_transformers cannot be imported due to circular import issue "
-                    "with regex package (Windows-specific bug). "
-                    "sentence-transformers is installed but regex has a circular import. "
-                    "Try: uv pip install --upgrade --force-reinstall regex "
-                    "Or use HuggingFace embeddings via llama-index-embeddings-huggingface instead."
-                ) from e
-            raise ConfigurationError(
-                f"sentence_transformers not available: {e}. "
-                "This is a required dependency - check your uv sync installation."
-            ) from e
-
-        try:
-            from llama_index.embeddings.base import (
-                BaseEmbedding,  # type: ignore[import-untyped]
-            )
-        except ImportError:
-            from llama_index.core.embeddings import (
-                BaseEmbedding,  # type: ignore[import-untyped]
-            )
-
-        class SentenceTransformerEmbedding(BaseEmbedding):  # type: ignore[misc]
-            """Simple wrapper for sentence-transformers."""
-
-            def __init__(self, model_name: str):
-                super().__init__()
-                self._model = SentenceTransformer(model_name)
-
-            def _get_query_embedding(self, query: str) -> list[float]:
-                result = self._model.encode(query).tolist()
-                return list(result)  # type: ignore[no-any-return]
-
-            def _get_text_embedding(self, text: str) -> list[float]:
-                result = self._model.encode(text).tolist()
-                return list(result)  # type: ignore[no-any-return]
-
-            async def _aget_query_embedding(self, query: str) -> list[float]:
-                return self._get_query_embedding(query)
-
-            async def _aget_text_embedding(self, text: str) -> list[float]:
-                return self._get_text_embedding(text)
-
-        return SentenceTransformerEmbedding(model_name)
-
-    def _configure_llm(self, huggingface_llm: Any, openai_llm: Any) -> None:
-        """Configure LLM for query synthesis."""
-        # Priority: oauth_token > env vars
-        effective_token = self.oauth_token or settings.hf_token or settings.huggingface_api_key
-        if huggingface_llm is not None and effective_token:
-            model_name = settings.huggingface_model or "meta-llama/Llama-3.1-8B-Instruct"
-            token = effective_token
-
-            # Check if it's HuggingFaceInferenceAPI (API-based) or HuggingFaceLLM (local)
-            llm_class_name = (
-                huggingface_llm.__name__
-                if hasattr(huggingface_llm, "__name__")
-                else str(huggingface_llm)
-            )
-
-            if "InferenceAPI" in llm_class_name:
-                # Use HuggingFace Inference API (supports token parameter)
-                try:
-                    self._Settings.llm = huggingface_llm(
-                        model_name=model_name,
-                        token=token,
-                    )
-                except Exception as e:
-                    # If model is not available via inference API, log warning and continue without LLM
-                    logger.warning(
-                        "Failed to initialize HuggingFace Inference API LLM",
-                        model=model_name,
-                        error=str(e),
-                    )
-                    logger.info("Continuing without LLM - query synthesis will be unavailable")
-                    self._Settings.llm = None
-                    return
-            else:
-                # Use local HuggingFaceLLM (doesn't support token, uses model_name and tokenizer_name)
-                self._Settings.llm = huggingface_llm(
-                    model_name=model_name,
-                    tokenizer_name=model_name,
-                )
-            logger.info("Using HuggingFace LLM for query synthesis", model=model_name)
-        elif settings.openai_api_key and openai_llm is not None:
-            self._Settings.llm = openai_llm(
-                model=settings.openai_model,
-                api_key=settings.openai_api_key,
-            )
-            logger.info("Using OpenAI LLM for query synthesis", model=settings.openai_model)
-        else:
-            logger.warning("No LLM API key available - query synthesis will be unavailable")
-            self._Settings.llm = None
-
-    def _initialize_chromadb(self) -> None:
-        """Initialize ChromaDB client, collection, and index."""
-        if self.use_in_memory:
-            # Use in-memory client for tests (avoids file system issues)
-            self.chroma_client = self._chromadb.Client()
-        else:
-            # Use persistent client for production
-            self.chroma_client = self._chromadb.PersistentClient(path=self.persist_dir)
-
-        # Get or create collection
-        try:
-            self.collection = self.chroma_client.get_collection(self.collection_name)
-            logger.info("loaded_existing_collection", name=self.collection_name)
-        except Exception:
-            self.collection = self.chroma_client.create_collection(self.collection_name)
-            logger.info("created_new_collection", name=self.collection_name)
-
-        # Initialize vector store and index
-        self.vector_store = self._ChromaVectorStore(chroma_collection=self.collection)
-        self.storage_context = self._StorageContext.from_defaults(vector_store=self.vector_store)
-
-        # Try to load existing index, or create empty one
-        try:
-            self.index = self._VectorStoreIndex.from_vector_store(
-                vector_store=self.vector_store,
-                storage_context=self.storage_context,
-            )
-            logger.info("loaded_existing_index")
-        except Exception:
-            self.index = self._VectorStoreIndex([], storage_context=self.storage_context)
-            logger.info("created_new_index")
-
-    def ingest_evidence(self, evidence_list: list[Evidence]) -> None:
-        """
-        Ingest evidence into the vector store.
-
-        Args:
-            evidence_list: List of Evidence objects to ingest
-        """
-        if not evidence_list:
-            logger.warning("no_evidence_to_ingest")
-            return
-
-        # Convert Evidence objects to LlamaIndex Documents
-        documents = []
-        for evidence in evidence_list:
-            metadata = {
-                "source": evidence.citation.source,
-                "title": evidence.citation.title,
-                "url": evidence.citation.url,
-                "date": evidence.citation.date,
-                "authors": ", ".join(evidence.citation.authors),
-            }
-
-            doc = self._Document(
-                text=evidence.content,
-                metadata=metadata,
-                doc_id=evidence.citation.url,  # Use URL as unique ID
-            )
-            documents.append(doc)
-
-        # Insert documents into index
-        try:
-            for doc in documents:
-                self.index.insert(doc)
-            logger.info("ingested_evidence", count=len(documents))
-        except Exception as e:
-            logger.error("failed_to_ingest_evidence", error=str(e))
-            raise
-
-    def ingest_documents(self, documents: list[Any]) -> None:
-        """
-        Ingest raw LlamaIndex Documents.
-
-        Args:
-            documents: List of LlamaIndex Document objects
-        """
-        if not documents:
-            logger.warning("no_documents_to_ingest")
-            return
-
-        try:
-            for doc in documents:
-                self.index.insert(doc)
-            logger.info("ingested_documents", count=len(documents))
-        except Exception as e:
-            logger.error("failed_to_ingest_documents", error=str(e))
-            raise
-
-    def retrieve(self, query: str, top_k: int | None = None) -> list[dict[str, Any]]:
-        """
-        Retrieve relevant documents for a query.
-
-        Args:
-            query: Query string
-            top_k: Number of results to return (defaults to similarity_top_k)
-
-        Returns:
-            List of retrieved documents with metadata and scores
-        """
-        k = top_k or self.similarity_top_k
-
-        # Create retriever
-        retriever = self._VectorIndexRetriever(
-            index=self.index,
-            similarity_top_k=k,
-        )
-
-        try:
-            # Retrieve nodes
-            nodes = retriever.retrieve(query)
-
-            # Convert to dict format
-            results = []
-            for node in nodes:
-                results.append(
-                    {
-                        "text": node.node.get_content(),
-                        "score": node.score,
-                        "metadata": node.node.metadata,
-                    }
-                )
-
-            logger.info("retrieved_documents", query=query[:50], count=len(results))
-            return results
-
-        except Exception as e:
-            logger.error("failed_to_retrieve", error=str(e), query=query[:50])
-            raise  # Re-raise to allow callers to distinguish errors from empty results
-
-    def query(self, query_str: str, top_k: int | None = None) -> str:
-        """
-        Query the RAG system and get a synthesized response.
-
-        Args:
-            query_str: Query string
-            top_k: Number of results to use (defaults to similarity_top_k)
-
-        Returns:
-            Synthesized response string
-
-        Raises:
-            ConfigurationError: If no LLM API key is available for query synthesis
-        """
-        if not self._Settings.llm:
-            raise ConfigurationError(
-                "LLM API key required for query synthesis. Set HF_TOKEN, HUGGINGFACE_API_KEY, or OPENAI_API_KEY. "
-                "Alternatively, use retrieve() for embedding-only search."
-            )
-
-        k = top_k or self.similarity_top_k
-
-        # Create query engine
-        query_engine = self.index.as_query_engine(
-            similarity_top_k=k,
-        )
-
-        try:
-            response = query_engine.query(query_str)
-            logger.info("generated_response", query=query_str[:50])
-            return str(response)
-
-        except Exception as e:
-            logger.error("failed_to_query", error=str(e), query=query_str[:50])
-            raise  # Re-raise to allow callers to handle errors explicitly
-
-    def clear_collection(self) -> None:
-        """Clear all documents from the collection."""
-        try:
-            self.chroma_client.delete_collection(self.collection_name)
-            self.collection = self.chroma_client.create_collection(self.collection_name)
-            self.vector_store = self._ChromaVectorStore(chroma_collection=self.collection)
-            self.storage_context = self._StorageContext.from_defaults(
-                vector_store=self.vector_store
-            )
-            self.index = self._VectorStoreIndex([], storage_context=self.storage_context)
-            logger.info("cleared_collection", name=self.collection_name)
-        except Exception as e:
-            logger.error("failed_to_clear_collection", error=str(e))
-            raise
-
-
-def get_rag_service(
-    collection_name: str = "deepcritical_evidence",
-    oauth_token: str | None = None,
-    **kwargs: Any,
-) -> LlamaIndexRAGService:
-    """
-    Get or create a RAG service instance.
-
-    Args:
-        collection_name: Name of the ChromaDB collection
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-        **kwargs: Additional arguments for LlamaIndexRAGService
-            Defaults to use_openai_embeddings=False (local embeddings)
-
-    Returns:
-        Configured LlamaIndexRAGService instance
-
-    Note:
-        By default, uses local embeddings (sentence-transformers) which require
-        no API keys. Set use_openai_embeddings=True to use OpenAI embeddings.
-    """
-    # Default to local embeddings if not explicitly set
-    if "use_openai_embeddings" not in kwargs:
-        kwargs["use_openai_embeddings"] = False
-    return LlamaIndexRAGService(collection_name=collection_name, oauth_token=oauth_token, **kwargs)
diff --git a/src/services/multimodal_processing.py b/src/services/multimodal_processing.py
deleted file mode 100644
index 9199f194401f1a2ced589b315226ca819188c001..0000000000000000000000000000000000000000
--- a/src/services/multimodal_processing.py
+++ /dev/null
@@ -1,146 +0,0 @@
-"""Unified multimodal processing service for text, audio, and image inputs."""
-
-from functools import lru_cache
-from typing import Any
-
-import structlog
-from gradio.data_classes import FileData
-
-from src.services.audio_processing import AudioService, get_audio_service
-from src.services.image_ocr import ImageOCRService, get_image_ocr_service
-from src.utils.config import settings
-
-logger = structlog.get_logger(__name__)
-
-
-class MultimodalService:
-    """Unified multimodal processing service."""
-
-    def __init__(
-        self,
-        audio_service: AudioService | None = None,
-        ocr_service: ImageOCRService | None = None,
-    ) -> None:
-        """Initialize multimodal service.
-
-        Args:
-            audio_service: Audio service instance (default: get_audio_service())
-            ocr_service: Image OCR service instance (default: get_image_ocr_service())
-        """
-        self.audio = audio_service or get_audio_service()
-        self.ocr = ocr_service or get_image_ocr_service()
-
-    async def process_multimodal_input(
-        self,
-        text: str,
-        files: list[FileData] | None = None,
-        audio_input: tuple[int, Any] | None = None,
-        hf_token: str | None = None,
-        prepend_multimodal: bool = True,
-    ) -> str:
-        """Process multimodal input (text + images + audio) and return combined text.
-
-        Args:
-            text: Text input string
-            files: List of uploaded files (images, audio, etc.)
-            audio_input: Audio input tuple (sample_rate, audio_array)
-            hf_token: HuggingFace token for authenticated Gradio Spaces
-            prepend_multimodal: If True, prepend audio/image text to original text; otherwise append
-
-        Returns:
-            Combined text from all inputs
-        """
-        multimodal_parts: list[str] = []
-        text_parts: list[str] = []
-
-        # Process audio input first
-        if audio_input is not None and settings.enable_audio_input:
-            try:
-                transcribed = await self.audio.process_audio_input(audio_input, hf_token=hf_token)
-                if transcribed:
-                    multimodal_parts.append(transcribed)
-            except Exception as e:
-                logger.warning("audio_processing_failed", error=str(e))
-
-        # Process uploaded files (images and audio files)
-        if files and settings.enable_image_input:
-            for file_data in files:
-                file_path = file_data.path if isinstance(file_data, FileData) else str(file_data)
-
-                # Check if it's an image
-                if self._is_image_file(file_path):
-                    try:
-                        extracted_text = await self.ocr.extract_text(file_path, hf_token=hf_token)
-                        if extracted_text:
-                            multimodal_parts.append(extracted_text)
-                    except Exception as e:
-                        logger.warning("image_ocr_failed", file_path=file_path, error=str(e))
-
-                # Check if it's an audio file
-                elif self._is_audio_file(file_path):
-                    try:
-                        # For audio files, we'd need to load and transcribe
-                        # For now, log a warning
-                        logger.warning("audio_file_upload_not_supported", file_path=file_path)
-                    except Exception as e:
-                        logger.warning(
-                            "audio_file_processing_failed", file_path=file_path, error=str(e)
-                        )
-
-        # Add original text if present
-        if text and text.strip():
-            text_parts.append(text.strip())
-
-        # Combine parts based on prepend_multimodal flag
-        if prepend_multimodal:
-            # Prepend: multimodal content first, then original text
-            combined_parts = multimodal_parts + text_parts
-        else:
-            # Append: original text first, then multimodal content
-            combined_parts = text_parts + multimodal_parts
-
-        # Combine all text parts
-        combined_text = "\n\n".join(combined_parts) if combined_parts else ""
-
-        logger.info(
-            "multimodal_input_processed",
-            text_length=len(combined_text),
-            num_files=len(files) if files else 0,
-            has_audio=audio_input is not None,
-        )
-
-        return combined_text
-
-    def _is_image_file(self, file_path: str) -> bool:
-        """Check if file is an image.
-
-        Args:
-            file_path: Path to file
-
-        Returns:
-            True if file is an image
-        """
-        image_extensions = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp", ".tiff", ".tif"}
-        return any(file_path.lower().endswith(ext) for ext in image_extensions)
-
-    def _is_audio_file(self, file_path: str) -> bool:
-        """Check if file is an audio file.
-
-        Args:
-            file_path: Path to file
-
-        Returns:
-            True if file is an audio file
-        """
-        audio_extensions = {".wav", ".mp3", ".flac", ".ogg", ".m4a", ".aac", ".wma"}
-        return any(file_path.lower().endswith(ext) for ext in audio_extensions)
-
-
-@lru_cache(maxsize=1)
-def get_multimodal_service() -> MultimodalService:
-    """Get or create singleton multimodal service instance.
-
-    Returns:
-        MultimodalService instance
-    """
-    return MultimodalService()
diff --git a/src/services/neo4j_service.py b/src/services/neo4j_service.py
deleted file mode 100644
index 6a9c6f7e2995be185310faba566e575d429348a6..0000000000000000000000000000000000000000
--- a/src/services/neo4j_service.py
+++ /dev/null
@@ -1,126 +0,0 @@
-"""Neo4j Knowledge Graph Service for Drug Repurposing"""
-
-import logging
-import os
-from typing import Any
-
-from dotenv import load_dotenv
-from neo4j import GraphDatabase
-
-load_dotenv()
-logger = logging.getLogger(__name__)
-
-
-class Neo4jService:
-    def __init__(self) -> None:
-        self.uri = os.getenv("NEO4J_URI", "bolt://localhost:7687")
-        self.user = os.getenv("NEO4J_USER", "neo4j")
-        self.password = os.getenv("NEO4J_PASSWORD")
-        self.database = os.getenv("NEO4J_DATABASE", "neo4j")
-
-        if not self.password:
-            logger.warning("⚠️ NEO4J_PASSWORD not set")
-            self.driver = None
-            return
-
-        try:
-            self.driver = GraphDatabase.driver(self.uri, auth=(self.user, self.password))
-            self.driver.verify_connectivity()
-            logger.info(f"✅ Neo4j connected: {self.uri} (db: {self.database})")
-        except Exception as e:
-            logger.error(f"❌ Neo4j connection failed: {e}")
-            self.driver = None
-
-    def is_connected(self) -> bool:
-        return self.driver is not None
-
-    def close(self) -> None:
-        if self.driver:
-            self.driver.close()
-
-    def ingest_search_results(
-        self,
-        disease_name: str,
-        papers: list[dict[str, Any]],
-        drugs_mentioned: list[str] | None = None,
-    ) -> dict[str, int]:
-        if not self.driver:
-            return {"error": "Neo4j not connected"}  # type: ignore[dict-item]
-
-        stats = {"papers": 0, "drugs": 0, "relationships": 0, "errors": 0}
-
-        try:
-            with self.driver.session(database=self.database) as session:
-                session.run("MERGE (d:Disease {name: $name})", name=disease_name)
-
-                for paper in papers:
-                    try:
-                        paper_id = paper.get("id") or paper.get("url", "")
-                        if not paper_id:
-                            continue
-
-                        session.run(
-                            """
-                            MERGE (p:Paper {paper_id: $id})
-                            SET p.title = $title,
-                                p.abstract = $abstract,
-                                p.url = $url,
-                                p.source = $source,
-                                p.updated_at = datetime()
-                        """,
-                            id=paper_id,
-                            title=str(paper.get("title", ""))[:500],
-                            abstract=str(paper.get("abstract", ""))[:2000],
-                            url=str(paper.get("url", ""))[:500],
-                            source=str(paper.get("source", ""))[:100],
-                        )
-
-                        session.run(
-                            """
-                            MATCH (p:Paper {paper_id: $id})
-                            MATCH (d:Disease {name: $disease})
-                            MERGE (p)-[r:ABOUT]->(d)
-                        """,
-                            id=paper_id,
-                            disease=disease_name,
-                        )
-
-                        stats["papers"] += 1
-                        stats["relationships"] += 1
-                    except Exception:
-                        stats["errors"] += 1
-
-                if drugs_mentioned:
-                    for drug in drugs_mentioned:
-                        try:
-                            session.run("MERGE (d:Drug {name: $name})", name=drug)
-                            session.run(
-                                """
-                                MATCH (drug:Drug {name: $drug})
-                                MATCH (disease:Disease {name: $disease})
-                                MERGE (drug)-[r:POTENTIAL_TREATMENT]->(disease)
-                            """,
-                                drug=drug,
-                                disease=disease_name,
-                            )
-                            stats["drugs"] += 1
-                            stats["relationships"] += 1
-                        except Exception:
-                            stats["errors"] += 1
-
-            logger.info(f"�� Neo4j ingestion: {stats['papers']} papers, {stats['drugs']} drugs")
-        except Exception as e:
-            logger.error(f"Neo4j ingestion error: {e}")
-            stats["errors"] += 1
-
-        return stats
-
-
-_neo4j_service = None
-
-
-def get_neo4j_service() -> Neo4jService | None:
-    global _neo4j_service
-    if _neo4j_service is None:
-        _neo4j_service = Neo4jService()
-    return _neo4j_service if _neo4j_service and _neo4j_service.is_connected() else None
diff --git a/src/services/report_file_service.py b/src/services/report_file_service.py
deleted file mode 100644
index 144966409f446ead658ebf86c309b0da1f331d2d..0000000000000000000000000000000000000000
--- a/src/services/report_file_service.py
+++ /dev/null
@@ -1,331 +0,0 @@
-"""Service for saving research reports to files."""
-
-import hashlib
-import tempfile
-from datetime import datetime
-from pathlib import Path
-from typing import Literal
-
-import structlog
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-
-class ReportFileService:
-    """
-    Service for saving research reports to files.
-
-    Handles file creation, naming, and directory management for report outputs.
-    Supports saving reports in multiple formats (markdown, HTML, PDF).
-    """
-
-    def __init__(
-        self,
-        output_directory: str | None = None,
-        enabled: bool | None = None,
-        file_format: Literal["md", "md_html", "md_pdf"] | None = None,
-    ) -> None:
-        """
-        Initialize the report file service.
-
-        Args:
-            output_directory: Directory to save reports. If None, uses settings or temp directory.
-            enabled: Whether file saving is enabled. If None, uses settings.
-            file_format: File format to save. If None, uses settings.
-        """
-        self.enabled = enabled if enabled is not None else settings.save_reports_to_file
-        self.file_format = file_format or settings.report_file_format
-        self.filename_template = settings.report_filename_template
-
-        # Determine output directory
-        if output_directory:
-            self.output_directory = Path(output_directory)
-        elif settings.report_output_directory:
-            self.output_directory = Path(settings.report_output_directory)
-        else:
-            # Use system temp directory
-            self.output_directory = Path(tempfile.gettempdir()) / "deepcritical_reports"
-
-        # Create output directory if it doesn't exist
-        if self.enabled:
-            try:
-                self.output_directory.mkdir(parents=True, exist_ok=True)
-                logger.debug(
-                    "Report output directory initialized",
-                    path=str(self.output_directory),
-                    enabled=self.enabled,
-                )
-            except Exception as e:
-                logger.error(
-                    "Failed to create report output directory",
-                    error=str(e),
-                    path=str(self.output_directory),
-                )
-                raise ConfigurationError(f"Failed to create report output directory: {e}") from e
-
-    def _generate_filename(self, query: str | None = None, extension: str = ".md") -> str:
-        """
-        Generate filename for report using template.
-
-        Args:
-            query: Optional query string for hash generation
-            extension: File extension (e.g., ".md", ".html")
-
-        Returns:
-            Generated filename
-        """
-        # Generate timestamp
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-
-        # Generate query hash if query provided
-        query_hash = ""
-        if query:
-            query_hash = hashlib.md5(query.encode()).hexdigest()[:8]
-
-        # Generate date
-        date = datetime.now().strftime("%Y-%m-%d")
-
-        # Replace template placeholders
-        filename = self.filename_template
-        filename = filename.replace("{timestamp}", timestamp)
-        filename = filename.replace("{query_hash}", query_hash)
-        filename = filename.replace("{date}", date)
-
-        # Ensure correct extension
-        if not filename.endswith(extension):
-            # Remove existing extension if present
-            if "." in filename:
-                filename = filename.rsplit(".", 1)[0]
-            filename += extension
-
-        return filename
-
-    def save_report(
-        self,
-        report_content: str,
-        query: str | None = None,
-        filename: str | None = None,
-    ) -> str:
-        """
-        Save a report to a file.
-
-        Args:
-            report_content: The report content (markdown string)
-            query: Optional query string for filename generation
-            filename: Optional custom filename. If None, generates from template.
-
-        Returns:
-            Path to saved file
-
-        Raises:
-            ConfigurationError: If file saving is disabled or fails
-        """
-        if not self.enabled:
-            logger.debug("File saving disabled, skipping")
-            raise ConfigurationError("Report file saving is disabled")
-
-        if not report_content or not report_content.strip():
-            raise ValueError("Report content cannot be empty")
-
-        # Generate filename if not provided
-        if not filename:
-            filename = self._generate_filename(query=query, extension=".md")
-
-        # Ensure filename is safe
-        filename = self._sanitize_filename(filename)
-
-        # Build full file path
-        file_path = self.output_directory / filename
-
-        try:
-            # Write file
-            with open(file_path, "w", encoding="utf-8") as f:
-                f.write(report_content)
-
-            logger.info(
-                "Report saved to file",
-                path=str(file_path),
-                size=len(report_content),
-                query=query[:50] if query else None,
-            )
-
-            return str(file_path)
-
-        except Exception as e:
-            logger.error("Failed to save report to file", error=str(e), path=str(file_path))
-            raise ConfigurationError(f"Failed to save report to file: {e}") from e
-
-    def save_report_multiple_formats(
-        self,
-        report_content: str,
-        query: str | None = None,
-    ) -> dict[str, str]:
-        """
-        Save a report in multiple formats.
-
-        Args:
-            report_content: The report content (markdown string)
-            query: Optional query string for filename generation
-
-        Returns:
-            Dictionary mapping format to file path (e.g., {"md": "/path/to/report.md"})
-
-        Raises:
-            ConfigurationError: If file saving is disabled or fails
-        """
-        if not self.enabled:
-            logger.debug("File saving disabled, skipping")
-            raise ConfigurationError("Report file saving is disabled")
-
-        saved_files: dict[str, str] = {}
-
-        # Always save markdown
-        md_path = self.save_report(report_content, query=query, filename=None)
-        saved_files["md"] = md_path
-
-        # Save additional formats based on file_format setting
-        if self.file_format == "md_html":
-            # TODO: Implement HTML conversion
-            logger.warning("HTML format not yet implemented, saving markdown only")
-        elif self.file_format == "md_pdf":
-            # Generate PDF from markdown
-            try:
-                pdf_path = self._save_pdf(report_content, query=query)
-                saved_files["pdf"] = pdf_path
-                logger.info("PDF report generated", pdf_path=pdf_path)
-            except Exception as e:
-                logger.warning(
-                    "PDF generation failed, markdown saved",
-                    error=str(e),
-                    md_path=md_path,
-                )
-                # Continue without PDF - markdown is already saved
-
-        return saved_files
-
-    def _save_pdf(
-        self,
-        report_content: str,
-        query: str | None = None,
-    ) -> str:
-        """
-        Save report as PDF.
-
-        Args:
-            report_content: The report content (markdown string)
-            query: Optional query string for filename generation
-
-        Returns:
-            Path to saved PDF file
-
-        Raises:
-            ConfigurationError: If PDF generation fails
-        """
-        try:
-            from src.utils.md_to_pdf import md_to_pdf
-        except ImportError as e:
-            raise ConfigurationError(
-                "PDF generation requires md2pdf. Install with: pip install md2pdf"
-            ) from e
-
-        # Generate PDF filename
-        pdf_filename = self._generate_filename(query=query, extension=".pdf")
-        pdf_filename = self._sanitize_filename(pdf_filename)
-        pdf_path = self.output_directory / pdf_filename
-
-        try:
-            # Convert markdown to PDF
-            md_to_pdf(report_content, str(pdf_path))
-
-            logger.info(
-                "PDF report saved",
-                path=str(pdf_path),
-                size=pdf_path.stat().st_size if pdf_path.exists() else 0,
-                query=query[:50] if query else None,
-            )
-
-            return str(pdf_path)
-
-        except Exception as e:
-            logger.error("Failed to generate PDF", error=str(e), path=str(pdf_path))
-            raise ConfigurationError(f"Failed to generate PDF: {e}") from e
-
-    def _sanitize_filename(self, filename: str) -> str:
-        """
-        Sanitize filename to remove unsafe characters.
-
-        Args:
-            filename: Original filename
-
-        Returns:
-            Sanitized filename
-        """
-        # Remove or replace unsafe characters
-        unsafe_chars = '<>:"/\\|?*'
-        sanitized = filename
-        for char in unsafe_chars:
-            sanitized = sanitized.replace(char, "_")
-
-        # Limit length
-        if len(sanitized) > 200:
-            name, ext = sanitized.rsplit(".", 1) if "." in sanitized else (sanitized, "")
-            sanitized = name[:190] + ext
-
-        return sanitized
-
-    def cleanup_old_files(self, max_age_days: int = 7) -> int:
-        """
-        Clean up old report files.
-
-        Args:
-            max_age_days: Maximum age in days for files to keep
-
-        Returns:
-            Number of files deleted
-        """
-        if not self.output_directory.exists():
-            return 0
-
-        deleted_count = 0
-        cutoff_time = datetime.now().timestamp() - (max_age_days * 24 * 60 * 60)
-
-        try:
-            for file_path in self.output_directory.iterdir():
-                if file_path.is_file() and file_path.stat().st_mtime < cutoff_time:
-                    try:
-                        file_path.unlink()
-                        deleted_count += 1
-                    except Exception as e:
-                        logger.warning(
-                            "Failed to delete old file", path=str(file_path), error=str(e)
-                        )
-
-            if deleted_count > 0:
-                logger.info(
-                    "Cleaned up old report files", deleted=deleted_count, max_age_days=max_age_days
-                )
-
-        except Exception as e:
-            logger.error("Failed to cleanup old files", error=str(e))
-
-        return deleted_count
-
-
-def get_report_file_service() -> ReportFileService:
-    """
-    Get or create a ReportFileService instance (singleton pattern).
-
-    Returns:
-        ReportFileService instance
-    """
-    # Use lru_cache for singleton pattern
-    from functools import lru_cache
-
-    @lru_cache(maxsize=1)
-    def _get_service() -> ReportFileService:
-        return ReportFileService()
-
-    return _get_service()
diff --git a/src/services/statistical_analyzer.py b/src/services/statistical_analyzer.py
deleted file mode 100644
index 38458907ef0be1eddd9f67b12dd0819eed3aadfb..0000000000000000000000000000000000000000
--- a/src/services/statistical_analyzer.py
+++ /dev/null
@@ -1,255 +0,0 @@
-"""Statistical analysis service using Modal code execution.
-
-This module provides Modal-based statistical analysis WITHOUT depending on
-agent_framework. This allows it to be used in the simple orchestrator mode
-without requiring the magentic optional dependency.
-
-The AnalysisAgent (in src/agents/) wraps this service for magentic mode.
-"""
-
-import asyncio
-import re
-from functools import lru_cache, partial
-from typing import Any, Literal
-
-# Type alias for verdict values
-VerdictType = Literal["SUPPORTED", "REFUTED", "INCONCLUSIVE"]
-
-from pydantic import BaseModel, Field
-from pydantic_ai import Agent
-
-from src.agent_factory.judges import get_model
-from src.tools.code_execution import (
-    CodeExecutionError,
-    get_code_executor,
-    get_sandbox_library_prompt,
-)
-from src.utils.models import Evidence
-
-
-class AnalysisResult(BaseModel):
-    """Result of statistical analysis."""
-
-    verdict: VerdictType = Field(
-        description="SUPPORTED, REFUTED, or INCONCLUSIVE",
-    )
-    confidence: float = Field(ge=0.0, le=1.0, description="Confidence in verdict (0-1)")
-    statistical_evidence: str = Field(
-        description="Summary of statistical findings from code execution"
-    )
-    code_generated: str = Field(description="Python code that was executed")
-    execution_output: str = Field(description="Output from code execution")
-    key_findings: list[str] = Field(default_factory=list, description="Key takeaways")
-    limitations: list[str] = Field(default_factory=list, description="Limitations")
-
-
-class StatisticalAnalyzer:
-    """Performs statistical analysis using Modal code execution.
-
-    This service:
-    1. Generates Python code for statistical analysis using LLM
-    2. Executes code in Modal sandbox
-    3. Interprets results
-    4. Returns verdict (SUPPORTED/REFUTED/INCONCLUSIVE)
-
-    Note: This class has NO agent_framework dependency, making it safe
-    to use in the simple orchestrator without the magentic extra.
-    """
-
-    def __init__(self) -> None:
-        """Initialize the analyzer."""
-        self._code_executor: Any = None
-        self._agent: Agent[None, str] | None = None
-
-    def _get_code_executor(self) -> Any:
-        """Lazy initialization of code executor."""
-        if self._code_executor is None:
-            self._code_executor = get_code_executor()
-        return self._code_executor
-
-    def _get_agent(self) -> Agent[None, str]:
-        """Lazy initialization of LLM agent for code generation."""
-        if self._agent is None:
-            library_versions = get_sandbox_library_prompt()
-            self._agent = Agent(
-                model=get_model(),
-                output_type=str,
-                system_prompt=f"""You are a biomedical data scientist.
-
-Generate Python code to analyze research evidence and test hypotheses.
-
-Guidelines:
-1. Use pandas, numpy, scipy.stats for analysis
-2. Print clear, interpretable results
-3. Include statistical tests (t-tests, chi-square, etc.)
-4. Calculate effect sizes and confidence intervals
-5. Keep code concise (<50 lines)
-6. Set 'result' variable to SUPPORTED, REFUTED, or INCONCLUSIVE
-
-Available libraries:
-{library_versions}
-
-Output format: Return ONLY executable Python code, no explanations.""",
-            )
-        return self._agent
-
-    async def analyze(
-        self,
-        query: str,
-        evidence: list[Evidence],
-        hypothesis: dict[str, Any] | None = None,
-    ) -> AnalysisResult:
-        """Run statistical analysis on evidence.
-
-        Args:
-            query: The research question
-            evidence: List of Evidence objects to analyze
-            hypothesis: Optional hypothesis dict with drug, target, pathway, effect
-
-        Returns:
-            AnalysisResult with verdict and statistics
-        """
-        # Build analysis prompt (method handles slicing internally)
-        evidence_summary = self._summarize_evidence(evidence)
-        hypothesis_text = ""
-        if hypothesis:
-            hypothesis_text = (
-                f"\nHypothesis: {hypothesis.get('drug', 'Unknown')} → "
-                f"{hypothesis.get('target', '?')} → "
-                f"{hypothesis.get('pathway', '?')} → "
-                f"{hypothesis.get('effect', '?')}\n"
-                f"Confidence: {hypothesis.get('confidence', 0.5):.0%}\n"
-            )
-
-        prompt = f"""Generate Python code to statistically analyze:
-
-**Research Question**: {query}
-{hypothesis_text}
-
-**Evidence Summary**:
-{evidence_summary}
-
-Generate executable Python code to analyze this evidence."""
-
-        try:
-            # Generate code
-            agent = self._get_agent()
-            code_result = await agent.run(prompt)
-            generated_code = code_result.output
-
-            # Execute in Modal sandbox
-            loop = asyncio.get_running_loop()
-            executor = self._get_code_executor()
-            execution = await loop.run_in_executor(
-                None, partial(executor.execute, generated_code, timeout=120)
-            )
-
-            if not execution["success"]:
-                return AnalysisResult(
-                    verdict="INCONCLUSIVE",
-                    confidence=0.0,
-                    statistical_evidence=(
-                        f"Execution failed: {execution.get('error', 'Unknown error')}"
-                    ),
-                    code_generated=generated_code,
-                    execution_output=execution.get("stderr", ""),
-                    key_findings=[],
-                    limitations=["Code execution failed"],
-                )
-
-            # Interpret results
-            return self._interpret_results(generated_code, execution)
-
-        except CodeExecutionError as e:
-            return AnalysisResult(
-                verdict="INCONCLUSIVE",
-                confidence=0.0,
-                statistical_evidence=str(e),
-                code_generated="",
-                execution_output="",
-                key_findings=[],
-                limitations=[f"Analysis error: {e}"],
-            )
-
-    def _summarize_evidence(self, evidence: list[Evidence]) -> str:
-        """Summarize evidence for code generation prompt."""
-        if not evidence:
-            return "No evidence available."
-
-        lines = []
-        for i, ev in enumerate(evidence[:5], 1):
-            content = ev.content
-            truncated = content[:200] + ("..." if len(content) > 200 else "")
-            lines.append(f"{i}. {truncated}")
-            lines.append(f"   Source: {ev.citation.title}")
-            lines.append(f"   Relevance: {ev.relevance:.0%}\n")
-
-        return "\n".join(lines)
-
-    def _interpret_results(
-        self,
-        code: str,
-        execution: dict[str, Any],
-    ) -> AnalysisResult:
-        """Interpret code execution results."""
-        stdout = execution["stdout"]
-        stdout_upper = stdout.upper()
-
-        # Extract verdict with robust word-boundary matching
-        verdict: VerdictType = "INCONCLUSIVE"
-        if re.search(r"\bSUPPORTED\b", stdout_upper) and not re.search(
-            r"\b(?:NOT|UN)SUPPORTED\b", stdout_upper
-        ):
-            verdict = "SUPPORTED"
-        elif re.search(r"\bREFUTED\b", stdout_upper):
-            verdict = "REFUTED"
-
-        # Extract key findings
-        key_findings = []
-        for line in stdout.split("\n"):
-            line_lower = line.lower()
-            if any(kw in line_lower for kw in ["p-value", "significant", "effect", "mean"]):
-                key_findings.append(line.strip())
-
-        # Calculate confidence from p-values
-        confidence = self._calculate_confidence(stdout)
-
-        return AnalysisResult(
-            verdict=verdict,
-            confidence=confidence,
-            statistical_evidence=stdout.strip(),
-            code_generated=code,
-            execution_output=stdout,
-            key_findings=key_findings[:5],
-            limitations=[
-                "Analysis based on summary data only",
-                "Limited to available evidence",
-                "Statistical tests assume data independence",
-            ],
-        )
-
-    def _calculate_confidence(self, output: str) -> float:
-        """Calculate confidence based on statistical results."""
-        p_values = re.findall(r"p[-\s]?value[:\s]+(\d+\.?\d*)", output.lower())
-
-        if p_values:
-            try:
-                min_p = min(float(p) for p in p_values)
-                if min_p < 0.001:
-                    return 0.95
-                elif min_p < 0.01:
-                    return 0.90
-                elif min_p < 0.05:
-                    return 0.80
-                else:
-                    return 0.60
-            except ValueError:
-                pass
-
-        return 0.70  # Default
-
-
-@lru_cache(maxsize=1)
-def get_statistical_analyzer() -> StatisticalAnalyzer:
-    """Get or create singleton StatisticalAnalyzer instance (thread-safe via lru_cache)."""
-    return StatisticalAnalyzer()
diff --git a/src/services/stt_gradio.py b/src/services/stt_gradio.py
deleted file mode 100644
index 44b993b429f39aa3e15d7c83ce7ebabc77d619ba..0000000000000000000000000000000000000000
--- a/src/services/stt_gradio.py
+++ /dev/null
@@ -1,271 +0,0 @@
-"""Speech-to-Text service using Gradio Client API."""
-
-import asyncio
-import tempfile
-from functools import lru_cache
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-import structlog
-from gradio_client import Client, handle_file
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger(__name__)
-
-
-class STTService:
-    """STT service using nvidia/canary-1b-v2 Gradio Space."""
-
-    def __init__(self, api_url: str | None = None, hf_token: str | None = None) -> None:
-        """Initialize STT service.
-
-        Args:
-            api_url: Gradio Space URL (default: settings.stt_api_url or nvidia/canary-1b-v2)
-            hf_token: HuggingFace token for authenticated Spaces (default: None)
-
-        Raises:
-            ConfigurationError: If API URL not configured
-        """
-        self.api_url = api_url or settings.stt_api_url or "https://nvidia-canary-1b-v2.hf.space"
-        if not self.api_url:
-            raise ConfigurationError("STT API URL not configured")
-        self.hf_token = hf_token
-        self.client: Client | None = None
-
-    async def _get_client(self, hf_token: str | None = None) -> Client:
-        """Get or create Gradio Client (lazy initialization).
-
-        Args:
-            hf_token: HuggingFace token for authenticated Spaces (overrides instance token)
-
-        Returns:
-            Gradio Client instance
-        """
-        # Use provided token or instance token
-        token = hf_token or self.hf_token
-
-        # If client exists but token changed, recreate it
-        if self.client is not None and token != self.hf_token:
-            self.client = None
-
-        if self.client is None:
-            loop = asyncio.get_running_loop()
-            # Pass token to Client for authenticated Spaces
-            # Gradio Client uses 'token' parameter, not 'hf_token'
-            if token:
-                self.client = await loop.run_in_executor(
-                    None,
-                    lambda: Client(self.api_url, token=token),
-                )
-            else:
-                self.client = await loop.run_in_executor(
-                    None,
-                    lambda: Client(self.api_url),
-                )
-            # Update instance token for future use
-            self.hf_token = token
-        return self.client
-
-    async def transcribe_file(
-        self,
-        audio_path: str,
-        source_lang: str | None = None,
-        target_lang: str | None = None,
-        hf_token: str | None = None,
-    ) -> str:
-        """Transcribe audio file using Gradio API.
-
-        Args:
-            audio_path: Path to audio file
-            source_lang: Source language (default: settings.stt_source_lang)
-            target_lang: Target language (default: settings.stt_target_lang)
-
-        Returns:
-            Transcribed text string
-
-        Raises:
-            ConfigurationError: If transcription fails
-        """
-        client = await self._get_client(hf_token=hf_token)
-        source_lang = source_lang or settings.stt_source_lang
-        target_lang = target_lang or settings.stt_target_lang
-
-        logger.info(
-            "transcribing_audio_file",
-            audio_path=audio_path,
-            source_lang=source_lang,
-            target_lang=target_lang,
-        )
-
-        try:
-            # Call /transcribe_file API endpoint
-            # API returns: (dataframe, csv_path, srt_path)
-            loop = asyncio.get_running_loop()
-            result = await loop.run_in_executor(
-                None,
-                lambda: client.predict(
-                    audio_path=handle_file(audio_path),
-                    source_lang=source_lang,
-                    target_lang=target_lang,
-                    api_name="/transcribe_file",
-                ),
-            )
-
-            # Extract transcription from result
-            transcribed_text = self._extract_transcription(result)
-
-            logger.info(
-                "audio_transcription_complete",
-                text_length=len(transcribed_text),
-            )
-
-            return transcribed_text
-
-        except Exception as e:
-            logger.error("audio_transcription_failed", error=str(e), error_type=type(e).__name__)
-            raise ConfigurationError(f"Audio transcription failed: {e}") from e
-
-    async def transcribe_audio(
-        self,
-        audio_data: tuple[int, np.ndarray[Any, Any]],  # type: ignore[type-arg]
-        hf_token: str | None = None,
-    ) -> str:
-        """Transcribe audio numpy array to text.
-
-        Args:
-            audio_data: Tuple of (sample_rate, audio_array)
-
-        Returns:
-            Transcribed text string
-        """
-        sample_rate, audio_array = audio_data
-
-        logger.info(
-            "transcribing_audio_array",
-            sample_rate=sample_rate,
-            audio_shape=audio_array.shape,
-        )
-
-        # Save audio to temp file
-        temp_path = self._save_audio_temp(audio_data)
-
-        try:
-            # Transcribe the temp file
-            transcribed_text = await self.transcribe_file(temp_path, hf_token=hf_token)
-            return transcribed_text
-        finally:
-            # Clean up temp file
-            try:
-                Path(temp_path).unlink(missing_ok=True)
-            except Exception as e:
-                logger.warning("failed_to_cleanup_temp_file", path=temp_path, error=str(e))
-
-    def _extract_transcription(self, api_result: tuple[Any, ...]) -> str:
-        """Extract transcription text from API result.
-
-        Args:
-            api_result: Tuple from Gradio API (dataframe, csv_path, srt_path)
-
-        Returns:
-            Extracted transcription text
-        """
-        # API returns: (dataframe, csv_path, srt_path)
-        # Try to extract from dataframe first
-        if isinstance(api_result, tuple) and len(api_result) >= 1:
-            dataframe = api_result[0]
-            if isinstance(dataframe, dict) and "data" in dataframe:
-                # Extract text from dataframe rows
-                rows = dataframe.get("data", [])
-                if rows:
-                    # Combine all text segments
-                    text_segments = []
-                    for row in rows:
-                        if isinstance(row, list) and len(row) > 0:
-                            # First column is usually the text
-                            text_segments.append(str(row[0]))
-                    if text_segments:
-                        return " ".join(text_segments)
-
-            # Fallback: try to read CSV file if available
-            if len(api_result) >= 2 and api_result[1]:
-                csv_path = api_result[1]
-                try:
-                    import pandas as pd
-
-                    df = pd.read_csv(csv_path)
-                    if "text" in df.columns:
-                        return " ".join(df["text"].astype(str).tolist())
-                    elif len(df.columns) > 0:
-                        # Use first column
-                        return " ".join(df.iloc[:, 0].astype(str).tolist())
-                except Exception as e:
-                    logger.warning("failed_to_read_csv", csv_path=csv_path, error=str(e))
-
-        # Last resort: return empty string
-        logger.warning("could_not_extract_transcription", result_type=type(api_result).__name__)
-        return ""
-
-    def _save_audio_temp(
-        self,
-        audio_data: tuple[int, np.ndarray[Any, Any]],  # type: ignore[type-arg]
-    ) -> str:
-        """Save audio numpy array to temporary WAV file.
-
-        Args:
-            audio_data: Tuple of (sample_rate, audio_array)
-
-        Returns:
-            Path to temporary WAV file
-        """
-        sample_rate, audio_array = audio_data
-
-        # Create temp file
-        temp_file = tempfile.NamedTemporaryFile(
-            suffix=".wav",
-            delete=False,
-        )
-        temp_path = temp_file.name
-        temp_file.close()
-
-        # Save audio using soundfile
-        try:
-            import soundfile as sf
-
-            # Ensure audio is float32 and mono
-            if audio_array.dtype != np.float32:
-                audio_array = audio_array.astype(np.float32)
-
-            # Handle stereo -> mono conversion
-            if len(audio_array.shape) > 1:
-                audio_array = np.mean(audio_array, axis=1)
-
-            # Normalize to [-1, 1] range
-            if audio_array.max() > 1.0 or audio_array.min() < -1.0:
-                audio_array = audio_array / np.max(np.abs(audio_array))
-
-            sf.write(temp_path, audio_array, sample_rate)
-
-            logger.debug("saved_audio_temp", path=temp_path, sample_rate=sample_rate)
-
-            return temp_path
-
-        except ImportError:
-            raise ConfigurationError(
-                "soundfile not installed. Install with: uv add soundfile"
-            ) from None
-        except Exception as e:
-            logger.error("failed_to_save_audio_temp", error=str(e))
-            raise ConfigurationError(f"Failed to save audio to temp file: {e}") from e
-
-
-@lru_cache(maxsize=1)
-def get_stt_service() -> STTService:
-    """Get or create singleton STT service instance.
-
-    Returns:
-        STTService instance
-    """
-    return STTService()
diff --git a/src/services/tts_modal.py b/src/services/tts_modal.py
deleted file mode 100644
index ce55c49aad24f1f2f1e37ddccbdbbd79df208305..0000000000000000000000000000000000000000
--- a/src/services/tts_modal.py
+++ /dev/null
@@ -1,482 +0,0 @@
-"""Text-to-Speech service using Kokoro 82M via Modal GPU."""
-
-import asyncio
-import os
-from collections.abc import Iterator
-from contextlib import contextmanager
-from functools import lru_cache
-from typing import Any, cast
-
-import numpy as np
-from numpy.typing import NDArray
-import structlog
-
-# Load .env file BEFORE importing Modal SDK
-# Modal SDK reads MODAL_TOKEN_ID and MODAL_TOKEN_SECRET from environment on import
-from dotenv import load_dotenv
-
-load_dotenv()
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger(__name__)
-
-# Kokoro TTS dependencies for Modal image
-KOKORO_DEPENDENCIES = [
-    "torch>=2.0.0",
-    "transformers>=4.30.0",
-    "numpy<2.0",
-    # kokoro-82M can be installed from source:
-    # git+https://github.com/hexgrad/kokoro.git
-]
-
-# Modal app and function definitions (module-level for Modal)
-_modal_app: Any | None = None
-_tts_function: Any | None = None
-_tts_image: Any | None = None
-
-
-@contextmanager
-def modal_credentials_override(token_id: str | None, token_secret: str | None) -> Iterator[None]:
-    """Context manager to temporarily override Modal credentials.
-
-    Args:
-        token_id: Modal token ID (overrides env if provided)
-        token_secret: Modal token secret (overrides env if provided)
-
-    Yields:
-        None
-
-    Note:
-        Resets global Modal state to force re-initialization with new credentials.
-    """
-    global _modal_app, _tts_function
-
-    # Save original credentials
-    original_token_id = os.environ.get("MODAL_TOKEN_ID")
-    original_token_secret = os.environ.get("MODAL_TOKEN_SECRET")
-
-    # Save original Modal state
-    original_app = _modal_app
-    original_function = _tts_function
-
-    try:
-        # Override environment variables if provided
-        if token_id:
-            os.environ["MODAL_TOKEN_ID"] = token_id
-        if token_secret:
-            os.environ["MODAL_TOKEN_SECRET"] = token_secret
-
-        # Reset Modal state to force re-initialization
-        _modal_app = None
-        _tts_function = None
-
-        yield
-
-    finally:
-        # Restore original credentials
-        if original_token_id is not None:
-            os.environ["MODAL_TOKEN_ID"] = original_token_id
-        elif "MODAL_TOKEN_ID" in os.environ:
-            del os.environ["MODAL_TOKEN_ID"]
-
-        if original_token_secret is not None:
-            os.environ["MODAL_TOKEN_SECRET"] = original_token_secret
-        elif "MODAL_TOKEN_SECRET" in os.environ:
-            del os.environ["MODAL_TOKEN_SECRET"]
-
-        # Restore original Modal state
-        _modal_app = original_app
-        _tts_function = original_function
-
-
-def _get_modal_app() -> Any:
-    """Get or create Modal app instance.
-
-    Retrieves Modal credentials directly from environment variables (.env file)
-    instead of relying on settings configuration.
-    """
-    global _modal_app
-    if _modal_app is None:
-        try:
-            import modal
-
-            # Get credentials directly from environment variables
-            token_id = os.getenv("MODAL_TOKEN_ID")
-            token_secret = os.getenv("MODAL_TOKEN_SECRET")
-
-            # Validate Modal credentials
-            if not token_id or not token_secret:
-                raise ConfigurationError(
-                    "Modal credentials not found in environment. "
-                    "Set MODAL_TOKEN_ID and MODAL_TOKEN_SECRET in .env file."
-                )
-
-            # Validate token ID format (Modal token IDs are typically UUIDs or specific formats)
-            if len(token_id.strip()) < 10:
-                raise ConfigurationError(
-                    f"Modal token ID appears malformed (too short: {len(token_id)} chars). "
-                    "Token ID should be a valid Modal token identifier."
-                )
-
-            logger.info(
-                "modal_credentials_loaded",
-                token_id_prefix=token_id[:8] + "...",  # Log prefix for debugging
-                has_secret=bool(token_secret),
-            )
-
-            try:
-                # Use lookup with create_if_missing for inline function fallback
-                _modal_app = modal.App.lookup("deepcritical-tts", create_if_missing=True)
-            except Exception as e:
-                error_msg = str(e).lower()
-                if "token" in error_msg or "malformed" in error_msg or "invalid" in error_msg:
-                    raise ConfigurationError(
-                        f"Modal token validation failed: {e}. "
-                        "Please check that MODAL_TOKEN_ID and MODAL_TOKEN_SECRET in .env are correctly set."
-                    ) from e
-                raise
-        except ImportError as e:
-            raise ConfigurationError(
-                "Modal SDK not installed. Run: uv sync or pip install modal>=0.63.0"
-            ) from e
-    return _modal_app
-
-
-# Define Modal image with Kokoro dependencies (module-level)
-def _get_tts_image() -> Any:
-    """Get Modal image with Kokoro dependencies."""
-    global _tts_image
-    if _tts_image is not None:
-        return _tts_image
-
-    try:
-        import modal
-
-        _tts_image = (
-            modal.Image.debian_slim(python_version="3.11")
-            .pip_install(*KOKORO_DEPENDENCIES)
-            .pip_install("git+https://github.com/hexgrad/kokoro.git")
-        )
-        return _tts_image
-    except ImportError:
-        return None
-
-
-# Modal TTS function - Using serialized=True to allow dynamic creation
-# This will be initialized lazily when _setup_modal_function() is called
-def _create_tts_function() -> Any:
-    """Create the Modal TTS function using serialized=True.
-
-    The serialized=True parameter allows the function to be defined outside
-    of global scope, which is necessary for dynamic initialization.
-    """
-    app = _get_modal_app()
-    tts_image = _get_tts_image()
-
-    if tts_image is None:
-        raise ConfigurationError("Modal image setup failed")
-
-    # Get GPU and timeout from settings (with defaults)
-    gpu_type = getattr(settings, "tts_gpu", None) or "T4"
-    timeout_seconds = getattr(settings, "tts_timeout", None) or 120  # 2 minutes for cold starts
-
-    @app.function(
-        image=tts_image,
-        gpu=gpu_type,
-        timeout=timeout_seconds,
-        serialized=True,  # Allow function to be defined outside global scope
-    )
-    def kokoro_tts_function(text: str, voice: str, speed: float) -> tuple[int, NDArray[np.float32]]:
-        """Modal GPU function for Kokoro TTS.
-
-        This function runs on Modal's GPU infrastructure.
-        Based on: https://huggingface.co/spaces/hexgrad/Kokoro-TTS
-        Reference: https://huggingface.co/spaces/hexgrad/Kokoro-TTS/raw/main/app.py
-        """
-        import numpy as np
-
-        # Import Kokoro inside function (lazy load)
-        try:
-            import torch
-            from kokoro import KModel, KPipeline
-
-            # Initialize model (cached on GPU)
-            model = KModel().to("cuda").eval()
-            pipeline = KPipeline(lang_code=voice[0])
-            pack = pipeline.load_voice(voice)
-
-            # Generate audio
-            for _, ps, _ in pipeline(text, voice, speed):
-                ref_s = pack[len(ps) - 1]
-                audio = model(ps, ref_s, speed)
-                return (24000, audio.numpy())
-
-            # If no audio generated, return empty
-            return (24000, np.zeros(1, dtype=np.float32))
-
-        except ImportError as e:
-            raise ConfigurationError(
-                "Kokoro not installed. Install with: pip install git+https://github.com/hexgrad/kokoro.git"
-            ) from e
-        except Exception as e:
-            raise ConfigurationError(f"TTS synthesis failed: {e}") from e
-
-    return kokoro_tts_function
-
-
-def _setup_modal_function() -> None:
-    """Setup Modal GPU function for TTS (called once, lazy initialization).
-
-    Hybrid approach:
-    1. Try to lookup pre-deployed function (fast path for advanced users)
-    2. If lookup fails, create function inline (fallback for casual users)
-
-    This allows both workflows:
-    - Advanced: Deploy with `modal deploy deployments/modal_tts.py` for best performance
-    - Casual: Just add Modal keys and it auto-creates function on first use
-    """
-    global _tts_function
-
-    if _tts_function is not None:
-        return  # Already set up
-
-    try:
-        import modal
-
-        # Try path 1: Lookup pre-deployed function (fast path)
-        try:
-            _tts_function = modal.Function.from_name("deepcritical-tts", "kokoro_tts_function")
-            logger.info(
-                "modal_tts_function_lookup_success",
-                app_name="deepcritical-tts",
-                function_name="kokoro_tts_function",
-                method="lookup",
-            )
-            return
-        except Exception as lookup_error:
-            logger.info(
-                "modal_tts_function_lookup_failed",
-                error=str(lookup_error),
-                fallback="Creating function inline",
-            )
-
-        # Try path 2: Create function inline (fallback for casual users)
-        logger.info("modal_tts_creating_inline_function")
-        _tts_function = _create_tts_function()
-        logger.info(
-            "modal_tts_function_setup_complete",
-            app_name="deepcritical-tts",
-            function_name="kokoro_tts_function",
-            method="inline",
-        )
-
-    except Exception as e:
-        logger.error("modal_tts_function_setup_failed", error=str(e))
-        raise ConfigurationError(
-            f"Failed to setup Modal TTS function: {e}. "
-            "Ensure Modal credentials (MODAL_TOKEN_ID, MODAL_TOKEN_SECRET) are valid."
-        ) from e
-
-
-class ModalTTSExecutor:
-    """Execute Kokoro TTS synthesis on Modal GPU.
-
-    This class provides TTS synthesis using Kokoro 82M model on Modal's GPU infrastructure.
-    Follows the same pattern as ModalCodeExecutor but uses GPU functions for TTS.
-    """
-
-    def __init__(self) -> None:
-        """Initialize Modal TTS executor.
-
-        Note:
-            Logs a warning if Modal credentials are not configured in environment.
-            Execution will fail at runtime without valid credentials in .env file.
-        """
-        # Check for Modal credentials directly from environment
-        token_id = os.getenv("MODAL_TOKEN_ID")
-        token_secret = os.getenv("MODAL_TOKEN_SECRET")
-
-        if not token_id or not token_secret:
-            logger.warning(
-                "Modal credentials not found in environment. "
-                "TTS will not be available. Set MODAL_TOKEN_ID and MODAL_TOKEN_SECRET in .env file."
-            )
-
-    def synthesize(
-        self,
-        text: str,
-        voice: str = "af_heart",
-        speed: float = 1.0,
-        timeout: int = 120,
-    ) -> tuple[int, NDArray[np.float32]]:
-        """Synthesize text to speech using Kokoro on Modal GPU.
-
-        Args:
-            text: Text to synthesize (max 5000 chars for free tier)
-            voice: Voice ID from Kokoro (e.g., af_heart, af_bella, am_michael)
-            speed: Speech speed multiplier (0.5-2.0)
-            timeout: Maximum execution time (not used, Modal function has its own timeout)
-
-        Returns:
-            Tuple of (sample_rate, audio_array)
-
-        Raises:
-            ConfigurationError: If synthesis fails
-        """
-        # Setup Modal function if not already done
-        _setup_modal_function()
-
-        if _tts_function is None:
-            raise ConfigurationError("Modal TTS function not initialized")
-
-        logger.info("synthesizing_tts", text_length=len(text), voice=voice, speed=speed)
-
-        try:
-            # Call the GPU function remotely
-            result = cast(tuple[int, NDArray[np.float32]], _tts_function.remote(text, voice, speed))
-
-            logger.info(
-                "tts_synthesis_complete", sample_rate=result[0], audio_shape=result[1].shape
-            )
-
-            return result
-
-        except Exception as e:
-            logger.error("tts_synthesis_failed", error=str(e), error_type=type(e).__name__)
-            raise ConfigurationError(f"TTS synthesis failed: {e}") from e
-
-
-class TTSService:
-    """TTS service wrapper for async usage."""
-
-    def __init__(self) -> None:
-        """Initialize TTS service.
-
-        Validates Modal credentials from environment variables (.env file).
-        """
-        # Check credentials directly from environment
-        token_id = os.getenv("MODAL_TOKEN_ID")
-        token_secret = os.getenv("MODAL_TOKEN_SECRET")
-
-        if not token_id or not token_secret:
-            raise ConfigurationError(
-                "Modal credentials required for TTS. "
-                "Set MODAL_TOKEN_ID and MODAL_TOKEN_SECRET in .env file."
-            )
-        self.executor = ModalTTSExecutor()
-
-    async def synthesize_async(
-        self,
-        text: str,
-        voice: str = "af_heart",
-        speed: float = 1.0,
-    ) -> tuple[int, NDArray[np.float32]] | None:
-        """Async wrapper for TTS synthesis.
-
-        Args:
-            text: Text to synthesize
-            voice: Voice ID (default: settings.tts_voice)
-            speed: Speech speed (default: settings.tts_speed)
-
-        Returns:
-            Tuple of (sample_rate, audio_array) or None if error
-        """
-        voice = voice or settings.tts_voice
-        speed = speed or settings.tts_speed
-
-        loop = asyncio.get_running_loop()
-
-        try:
-            result = await loop.run_in_executor(
-                None,
-                lambda: self.executor.synthesize(text, voice, speed),
-            )
-            return result
-        except Exception as e:
-            logger.error("tts_synthesis_async_failed", error=str(e))
-            return None
-
-
-@lru_cache(maxsize=1)
-def get_tts_service() -> TTSService:
-    """Get or create singleton TTS service instance.
-
-    Returns:
-        TTSService instance
-
-    Raises:
-        ConfigurationError: If Modal credentials not configured
-    """
-    return TTSService()
-
-
-async def generate_audio_on_demand(
-    text: str,
-    modal_token_id: str | None = None,
-    modal_token_secret: str | None = None,
-    voice: str = "af_heart",
-    speed: float = 1.0,
-    use_llm_polish: bool = False,
-) -> tuple[tuple[int, NDArray[np.float32]] | None, str]:
-    """Generate audio on-demand with optional runtime credentials.
-
-    Args:
-        text: Text to synthesize
-        modal_token_id: Modal token ID (UI input, overrides .env)
-        modal_token_secret: Modal token secret (UI input, overrides .env)
-        voice: Voice ID (default: af_heart)
-        speed: Speech speed (default: 1.0)
-        use_llm_polish: Apply LLM polish to text (default: False)
-
-    Returns:
-        Tuple of (audio_output, status_message)
-        - audio_output: (sample_rate, audio_array) or None if failed
-        - status_message: Status/error message for user
-
-    Priority: UI credentials > .env credentials
-    """
-    # Priority: UI keys > .env keys
-    token_id = (modal_token_id or "").strip() or os.getenv("MODAL_TOKEN_ID")
-    token_secret = (modal_token_secret or "").strip() or os.getenv("MODAL_TOKEN_SECRET")
-
-    if not token_id or not token_secret:
-        return (
-            None,
-            "❌ Modal credentials required. Enter keys above or set MODAL_TOKEN_ID and MODAL_TOKEN_SECRET in .env",
-        )
-
-    try:
-        # Use credentials override context
-        with modal_credentials_override(token_id, token_secret):
-            # Import audio_processing here to avoid circular import
-            from src.services.audio_processing import AudioService
-
-            # Temporarily override LLM polish setting
-            original_llm_polish = settings.tts_use_llm_polish
-            try:
-                settings.tts_use_llm_polish = use_llm_polish
-
-                # Create fresh AudioService instance (bypass cache to pick up new credentials)
-                audio_service = AudioService()
-                audio_output = await audio_service.generate_audio_output(
-                    text=text,
-                    voice=voice,
-                    speed=speed,
-                )
-
-                if audio_output:
-                    return audio_output, "✅ Audio generated successfully"
-                else:
-                    return None, "⚠️ Audio generation returned no output"
-
-            finally:
-                settings.tts_use_llm_polish = original_llm_polish
-
-    except ConfigurationError as e:
-        logger.error("audio_generation_config_error", error=str(e))
-        return None, f"❌ Configuration error: {e}"
-    except Exception as e:
-        logger.error("audio_generation_failed", error=str(e), exc_info=True)
-        return None, f"❌ Audio generation failed: {e}"
diff --git a/src/state/__init__.py b/src/state/__init__.py
deleted file mode 100644
index a2323db724ea3ee5902b1121cdb2a30406319fe5..0000000000000000000000000000000000000000
--- a/src/state/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-"""State package - re-exports from agents.state for compatibility."""
-
-from src.agents.state import (
-    MagenticState,
-    get_magentic_state,
-    init_magentic_state,
-)
-
-__all__ = ["MagenticState", "get_magentic_state", "init_magentic_state"]
diff --git a/src/tools/__init__.py b/src/tools/__init__.py
deleted file mode 100644
index 19f5c3ecd4c646af301ab73eab0286698ce99822..0000000000000000000000000000000000000000
--- a/src/tools/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-"""Search tools package."""
-
-from src.tools.base import SearchTool
-from src.tools.pubmed import PubMedTool
-from src.tools.rag_tool import RAGTool, create_rag_tool
-from src.tools.search_handler import SearchHandler
-
-# Re-export
-__all__ = [
-    "PubMedTool",
-    "RAGTool",
-    "SearchHandler",
-    "SearchTool",
-    "create_rag_tool",
-]
diff --git a/src/tools/base.py b/src/tools/base.py
deleted file mode 100644
index 0533c851973e3063d735d55f618c44c4ad8418ba..0000000000000000000000000000000000000000
--- a/src/tools/base.py
+++ /dev/null
@@ -1,31 +0,0 @@
-"""Base classes and protocols for search tools."""
-
-from typing import Protocol
-
-from src.utils.models import Evidence
-
-
-class SearchTool(Protocol):
-    """Protocol defining the interface for all search tools."""
-
-    @property
-    def name(self) -> str:
-        """Human-readable name of this tool."""
-        ...
-
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """
-        Execute a search and return evidence.
-
-        Args:
-            query: The search query string
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of Evidence objects
-
-        Raises:
-            SearchError: If the search fails
-            RateLimitError: If we hit rate limits
-        """
-        ...
diff --git a/src/tools/clinicaltrials.py b/src/tools/clinicaltrials.py
deleted file mode 100644
index 06ef61158096e0ab2a5ff5a52f77e428de13bb4c..0000000000000000000000000000000000000000
--- a/src/tools/clinicaltrials.py
+++ /dev/null
@@ -1,143 +0,0 @@
-"""ClinicalTrials.gov search tool using API v2."""
-
-import asyncio
-from typing import Any, ClassVar
-
-import requests
-from tenacity import retry, stop_after_attempt, wait_exponential
-
-from src.utils.exceptions import SearchError
-from src.utils.models import Citation, Evidence
-
-
-class ClinicalTrialsTool:
-    """Search tool for ClinicalTrials.gov.
-
-    Note: Uses `requests` library instead of `httpx` because ClinicalTrials.gov's
-    WAF blocks httpx's TLS fingerprint. The `requests` library is not blocked.
-    See: https://clinicaltrials.gov/data-api/api
-    """
-
-    BASE_URL = "https://clinicaltrials.gov/api/v2/studies"
-
-    # Fields to retrieve
-    FIELDS: ClassVar[list[str]] = [
-        "NCTId",
-        "BriefTitle",
-        "Phase",
-        "OverallStatus",
-        "Condition",
-        "InterventionName",
-        "StartDate",
-        "BriefSummary",
-    ]
-
-    # Status filter: Only active/completed studies with potential data
-    STATUS_FILTER = "COMPLETED,ACTIVE_NOT_RECRUITING,RECRUITING,ENROLLING_BY_INVITATION"
-
-    # Study type filter: Only interventional (drug/treatment studies)
-    STUDY_TYPE_FILTER = "INTERVENTIONAL"
-
-    @property
-    def name(self) -> str:
-        return "clinicaltrials"
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=10),
-        reraise=True,
-    )
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """Search ClinicalTrials.gov for interventional studies.
-
-        Args:
-            query: Search query (e.g., "metformin alzheimer")
-            max_results: Maximum results to return (max 100)
-
-        Returns:
-            List of Evidence objects from clinical trials
-        """
-        # Add study type filter to query string (parameter is not supported)
-        # AREA[StudyType]INTERVENTIONAL restricts to interventional studies
-        final_query = f"{query} AND AREA[StudyType]INTERVENTIONAL"
-
-        params: dict[str, Any] = {
-            "query.term": final_query,
-            "pageSize": min(max_results, 100),
-            "fields": ",".join(self.FIELDS),
-            # FILTERS - Only active/completed studies
-            "filter.overallStatus": self.STATUS_FILTER,
-        }
-
-        try:
-            # Run blocking requests.get in a separate thread for async compatibility
-            response = await asyncio.to_thread(
-                requests.get,
-                self.BASE_URL,
-                params=params,
-                headers={"User-Agent": "DETERMINATOR-Research-Agent/1.0"},
-                timeout=30,
-            )
-            response.raise_for_status()
-
-            data = response.json()
-            studies = data.get("studies", [])
-            return [self._study_to_evidence(study) for study in studies[:max_results]]
-
-        except requests.HTTPError as e:
-            raise SearchError(f"ClinicalTrials.gov API error: {e}") from e
-        except requests.RequestException as e:
-            raise SearchError(f"ClinicalTrials.gov request failed: {e}") from e
-
-    def _study_to_evidence(self, study: dict[str, Any]) -> Evidence:
-        """Convert a clinical trial study to Evidence."""
-        # Navigate nested structure
-        protocol = study.get("protocolSection", {})
-        id_module = protocol.get("identificationModule", {})
-        status_module = protocol.get("statusModule", {})
-        desc_module = protocol.get("descriptionModule", {})
-        design_module = protocol.get("designModule", {})
-        conditions_module = protocol.get("conditionsModule", {})
-        arms_module = protocol.get("armsInterventionsModule", {})
-
-        nct_id = id_module.get("nctId", "Unknown")
-        title = id_module.get("briefTitle", "Untitled Study")
-        status = status_module.get("overallStatus", "Unknown")
-        start_date = status_module.get("startDateStruct", {}).get("date", "Unknown")
-
-        # Get phase (might be a list)
-        phases = design_module.get("phases", [])
-        phase = phases[0] if phases else "Not Applicable"
-
-        # Get conditions
-        conditions = conditions_module.get("conditions", [])
-        conditions_str = ", ".join(conditions[:3]) if conditions else "Unknown"
-
-        # Get interventions
-        interventions = arms_module.get("interventions", [])
-        intervention_names = [i.get("name", "") for i in interventions[:3]]
-        interventions_str = ", ".join(intervention_names) if intervention_names else "Unknown"
-
-        # Get summary
-        summary = desc_module.get("briefSummary", "No summary available.")
-
-        # Build content with key trial info
-        content = (
-            f"{summary[:500]}... "
-            f"Trial Phase: {phase}. "
-            f"Status: {status}. "
-            f"Conditions: {conditions_str}. "
-            f"Interventions: {interventions_str}."
-        )
-
-        return Evidence(
-            content=content[:2000],
-            citation=Citation(
-                source="clinicaltrials",
-                title=title[:500],
-                url=f"https://clinicaltrials.gov/study/{nct_id}",
-                date=start_date,
-                authors=[],  # Trials don't have traditional authors
-            ),
-            relevance=0.85,  # Trials are highly relevant for repurposing
-        )
diff --git a/src/tools/code_execution.py b/src/tools/code_execution.py
index da22fa9b1f864b0ab0e3778706c150ae60c714fd..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/src/tools/code_execution.py
+++ b/src/tools/code_execution.py
@@ -1,256 +0,0 @@
-"""Modal-based secure code execution tool for statistical analysis.
-
-This module provides sandboxed Python code execution using Modal's serverless infrastructure.
-It's designed for running LLM-generated statistical analysis code safely.
-"""
-
-import os
-from functools import lru_cache
-from typing import Any
-
-import structlog
-
-logger = structlog.get_logger(__name__)
-
-# Shared library versions for Modal sandbox - used by both executor and LLM prompts
-# Keep these in sync to avoid version mismatch between generated code and execution
-SANDBOX_LIBRARIES: dict[str, str] = {
-    "pandas": "2.2.0",
-    "numpy": "1.26.4",
-    "scipy": "1.11.4",
-    "matplotlib": "3.8.2",
-    "scikit-learn": "1.4.0",
-    "statsmodels": "0.14.1",
-}
-
-
-def get_sandbox_library_list() -> list[str]:
-    """Get list of library==version strings for Modal image."""
-    return [f"{lib}=={ver}" for lib, ver in SANDBOX_LIBRARIES.items()]
-
-
-def get_sandbox_library_prompt() -> str:
-    """Get formatted library versions for LLM prompts."""
-    return "\n".join(f"- {lib}=={ver}" for lib, ver in SANDBOX_LIBRARIES.items())
-
-
-class CodeExecutionError(Exception):
-    """Raised when code execution fails."""
-
-    pass
-
-
-class ModalCodeExecutor:
-    """Execute Python code securely using Modal sandboxes.
-
-    This class provides a safe environment for executing LLM-generated code,
-    particularly for scientific computing and statistical analysis tasks.
-
-    Features:
-    - Sandboxed execution (isolated from host system)
-    - Pre-installed scientific libraries (numpy, scipy, pandas, matplotlib)
-    - Network isolation for security
-    - Timeout protection
-    - Stdout/stderr capture
-
-    Example:
-        >>> executor = ModalCodeExecutor()
-        >>> result = executor.execute('''
-        ... import pandas as pd
-        ... df = pd.DataFrame({'a': [1, 2, 3]})
-        ... result = df['a'].sum()
-        ... ''')
-        >>> print(result['stdout'])
-        6
-    """
-
-    def __init__(self) -> None:
-        """Initialize Modal code executor.
-
-        Note:
-            Logs a warning if Modal credentials are not configured.
-            Execution will fail at runtime without valid credentials.
-        """
-        # Check for Modal credentials
-        self.modal_token_id = os.getenv("MODAL_TOKEN_ID")
-        self.modal_token_secret = os.getenv("MODAL_TOKEN_SECRET")
-
-        if not self.modal_token_id or not self.modal_token_secret:
-            logger.warning(
-                "Modal credentials not found. Code execution will fail unless modal setup is run."
-            )
-
-    def execute(self, code: str, timeout: int = 60, allow_network: bool = False) -> dict[str, Any]:
-        """Execute Python code in a Modal sandbox.
-
-        Args:
-            code: Python code to execute
-            timeout: Maximum execution time in seconds (default: 60)
-            allow_network: Whether to allow network access (default: False for security)
-
-        Returns:
-            Dictionary containing:
-                - stdout: Standard output from code execution
-                - stderr: Standard error from code execution
-                - success: Boolean indicating if execution succeeded
-                - error: Error message if execution failed
-
-        Raises:
-            CodeExecutionError: If execution fails or times out
-        """
-        try:
-            import modal
-        except ImportError as e:
-            raise CodeExecutionError(
-                "Modal SDK not installed. Run: uv sync or pip install modal>=0.63.0"
-            ) from e
-
-        logger.info("executing_code", code_length=len(code), timeout=timeout)
-
-        try:
-            # Create or lookup Modal app
-            app = modal.App.lookup("deepcritical-code-execution", create_if_missing=True)
-
-            # Define scientific computing image with common libraries
-            scientific_image = modal.Image.debian_slim(python_version="3.11").uv_pip_install(
-                *get_sandbox_library_list()
-            )
-
-            # Create sandbox with security restrictions
-            sandbox = modal.Sandbox.create(
-                app=app,
-                image=scientific_image,
-                timeout=timeout,
-                block_network=not allow_network,  # Wire the network control
-            )
-
-            try:
-                # Execute the code
-                # Wrap code to capture result
-                wrapped_code = f"""
-import sys
-import io
-from contextlib import redirect_stdout, redirect_stderr
-
-stdout_io = io.StringIO()
-stderr_io = io.StringIO()
-
-try:
-    with redirect_stdout(stdout_io), redirect_stderr(stderr_io):
-        {self._indent_code(code, 8)}
-    print("__EXECUTION_SUCCESS__")
-except Exception as e:
-    print(f"__EXECUTION_ERROR__: {{type(e).__name__}}: {{e}}", file=sys.stderr)
-
-print("__STDOUT_START__")
-print(stdout_io.getvalue())
-print("__STDOUT_END__")
-print("__STDERR_START__")
-print(stderr_io.getvalue(), file=sys.stderr)
-print("__STDERR_END__", file=sys.stderr)
-"""
-
-                # Run the wrapped code
-                process = sandbox.exec("python", "-c", wrapped_code, timeout=timeout)
-
-                # Read output
-                stdout_raw = process.stdout.read()
-                stderr_raw = process.stderr.read()
-            finally:
-                # Always clean up sandbox to prevent resource leaks
-                sandbox.terminate()
-
-            # Parse output
-            success = "__EXECUTION_SUCCESS__" in stdout_raw
-
-            # Extract actual stdout/stderr
-            stdout = self._extract_output(stdout_raw, "__STDOUT_START__", "__STDOUT_END__")
-            stderr = self._extract_output(stderr_raw, "__STDERR_START__", "__STDERR_END__")
-
-            result = {
-                "stdout": stdout,
-                "stderr": stderr,
-                "success": success,
-                "error": stderr if not success else None,
-            }
-
-            logger.info(
-                "code_execution_completed",
-                success=success,
-                stdout_length=len(stdout),
-                stderr_length=len(stderr),
-            )
-
-            return result
-
-        except Exception as e:
-            logger.error("code_execution_failed", error=str(e), error_type=type(e).__name__)
-            raise CodeExecutionError(f"Code execution failed: {e}") from e
-
-    def execute_with_return(self, code: str, timeout: int = 60) -> Any:
-        """Execute code and return the value of the 'result' variable.
-
-        Convenience method that executes code and extracts a return value.
-        The code should assign its final result to a variable named 'result'.
-
-        Args:
-            code: Python code to execute (must set 'result' variable)
-            timeout: Maximum execution time in seconds
-
-        Returns:
-            The value of the 'result' variable from the executed code
-
-        Example:
-            >>> executor.execute_with_return("result = 2 + 2")
-            4
-        """
-        # Modify code to print result as JSON
-        wrapped = f"""
-import json
-{code}
-print(json.dumps({{"__RESULT__": result}}))
-"""
-
-        execution_result = self.execute(wrapped, timeout=timeout)
-
-        if not execution_result["success"]:
-            raise CodeExecutionError(f"Execution failed: {execution_result['error']}")
-
-        # Parse result from stdout
-        import json
-
-        try:
-            output = execution_result["stdout"].strip()
-            if "__RESULT__" in output:
-                # Extract JSON line
-                for line in output.split("\n"):
-                    if "__RESULT__" in line:
-                        data = json.loads(line)
-                        return data["__RESULT__"]
-            raise ValueError("Result not found in output")
-        except (json.JSONDecodeError, ValueError) as e:
-            logger.warning(
-                "failed_to_parse_result", error=str(e), stdout=execution_result["stdout"]
-            )
-            return execution_result["stdout"]
-
-    def _indent_code(self, code: str, spaces: int) -> str:
-        """Indent code by specified number of spaces."""
-        indent = " " * spaces
-        return "\n".join(indent + line if line.strip() else line for line in code.split("\n"))
-
-    def _extract_output(self, text: str, start_marker: str, end_marker: str) -> str:
-        """Extract content between markers."""
-        try:
-            start_idx = text.index(start_marker) + len(start_marker)
-            end_idx = text.index(end_marker)
-            return text[start_idx:end_idx].strip()
-        except ValueError:
-            # Markers not found, return original text
-            return text.strip()
-
-
-@lru_cache(maxsize=1)
-def get_code_executor() -> ModalCodeExecutor:
-    """Get or create singleton code executor instance (thread-safe via lru_cache)."""
-    return ModalCodeExecutor()
diff --git a/src/tools/crawl_adapter.py b/src/tools/crawl_adapter.py
deleted file mode 100644
index 332569c52698e39a46085f81989e0c386d402347..0000000000000000000000000000000000000000
--- a/src/tools/crawl_adapter.py
+++ /dev/null
@@ -1,58 +0,0 @@
-"""Website crawl tool adapter for Pydantic AI agents.
-
-Uses the vendored crawl_website implementation from src/tools/vendored/crawl_website.py.
-"""
-
-import structlog
-
-logger = structlog.get_logger()
-
-
-async def crawl_website(starting_url: str) -> str:
-    """
-    Crawl a website starting from the given URL and return formatted results.
-
-    Use this tool to crawl a website for information relevant to the query.
-    Provide a starting URL as input.
-
-    Args:
-        starting_url: The starting URL to crawl (e.g., "https://example.com")
-
-    Returns:
-        Formatted string with crawled content including titles, descriptions, and URLs
-    """
-    try:
-        # Import vendored crawl tool
-        from src.tools.vendored.crawl_website import crawl_website as crawl_tool
-
-        # Call the tool function
-        # The tool returns List[ScrapeResult] or str
-        results = await crawl_tool(starting_url)
-
-        if isinstance(results, str):
-            # Error message returned
-            logger.warning("Crawl returned error", error=results)
-            return results
-
-        if not results:
-            return f"No content found when crawling: {starting_url}"
-
-        # Format results for agent consumption
-        formatted = [f"Found {len(results)} pages from {starting_url}:\n"]
-        for i, result in enumerate(results[:10], 1):  # Limit to 10 pages
-            formatted.append(f"{i}. **{result.title or 'Untitled'}**")
-            if result.description:
-                formatted.append(f"   {result.description[:200]}...")
-            formatted.append(f"   URL: {result.url}")
-            if result.text:
-                formatted.append(f"   Content: {result.text[:500]}...")
-            formatted.append("")
-
-        return "\n".join(formatted)
-
-    except ImportError as e:
-        logger.error("Crawl tool not available", error=str(e))
-        return f"Crawl tool not available: {e!s}"
-    except Exception as e:
-        logger.error("Crawl failed", error=str(e), url=starting_url)
-        return f"Error crawling website: {e!s}"
diff --git a/src/tools/europepmc.py b/src/tools/europepmc.py
deleted file mode 100644
index 4dee1f58bc9e1e674578b9e4e3bcd7261f9895c4..0000000000000000000000000000000000000000
--- a/src/tools/europepmc.py
+++ /dev/null
@@ -1,107 +0,0 @@
-"""Europe PMC search tool - replaces BioRxiv."""
-
-from typing import Any
-
-import httpx
-from tenacity import retry, stop_after_attempt, wait_exponential
-
-from src.utils.exceptions import SearchError
-from src.utils.models import Citation, Evidence
-
-
-class EuropePMCTool:
-    """
-    Search Europe PMC for papers and preprints.
-
-    Europe PMC indexes:
-    - PubMed/MEDLINE articles
-    - PMC full-text articles
-    - Preprints from bioRxiv, medRxiv, ChemRxiv, etc.
-    - Patents and clinical guidelines
-
-    API Docs: https://europepmc.org/RestfulWebService
-    """
-
-    BASE_URL = "https://www.ebi.ac.uk/europepmc/webservices/rest/search"
-
-    @property
-    def name(self) -> str:
-        return "europepmc"
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=10),
-        reraise=True,
-    )
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """
-        Search Europe PMC for papers matching query.
-
-        Args:
-            query: Search keywords
-            max_results: Maximum results to return
-
-        Returns:
-            List of Evidence objects
-        """
-        params: dict[str, str | int] = {
-            "query": query,
-            "resultType": "core",
-            "pageSize": min(max_results, 100),
-            "format": "json",
-        }
-
-        async with httpx.AsyncClient(timeout=30.0) as client:
-            try:
-                response = await client.get(self.BASE_URL, params=params)
-                response.raise_for_status()
-
-                data = response.json()
-                results = data.get("resultList", {}).get("result", [])
-
-                return [self._to_evidence(r) for r in results[:max_results]]
-
-            except httpx.HTTPStatusError as e:
-                raise SearchError(f"Europe PMC API error: {e}") from e
-            except httpx.RequestError as e:
-                raise SearchError(f"Europe PMC connection failed: {e}") from e
-
-    def _to_evidence(self, result: dict[str, Any]) -> Evidence:
-        """Convert Europe PMC result to Evidence."""
-        title = result.get("title", "Untitled")
-        abstract = result.get("abstractText", "No abstract available.")
-        doi = result.get("doi", "")
-        pub_year = result.get("pubYear", "Unknown")
-
-        # Get authors
-        author_list = result.get("authorList", {}).get("author", [])
-        authors = [a.get("fullName", "") for a in author_list[:5] if a.get("fullName")]
-
-        # Check if preprint
-        pub_types = result.get("pubTypeList", {}).get("pubType", [])
-        is_preprint = "Preprint" in pub_types
-        source_db = result.get("source", "europepmc")
-
-        # Build content
-        preprint_marker = "[PREPRINT - Not peer-reviewed] " if is_preprint else ""
-        content = f"{preprint_marker}{abstract[:1800]}"
-
-        # Build URL
-        if doi:
-            url = f"https://doi.org/{doi}"
-        elif result.get("pmid"):
-            url = f"https://pubmed.ncbi.nlm.nih.gov/{result['pmid']}/"
-        else:
-            url = f"https://europepmc.org/article/{source_db}/{result.get('id', '')}"
-
-        return Evidence(
-            content=content[:2000],
-            citation=Citation(
-                source="preprint" if is_preprint else "europepmc",
-                title=title[:500],
-                url=url,
-                date=str(pub_year),
-                authors=authors,
-            ),
-            relevance=0.75 if is_preprint else 0.9,
-        )
diff --git a/src/tools/neo4j_search.py b/src/tools/neo4j_search.py
deleted file mode 100644
index 0198388961f9f0dba02c813944560b898ce584b7..0000000000000000000000000000000000000000
--- a/src/tools/neo4j_search.py
+++ /dev/null
@@ -1,72 +0,0 @@
-"""Neo4j knowledge graph search tool."""
-
-import structlog
-
-from src.services.neo4j_service import get_neo4j_service
-from src.utils.models import Citation, Evidence
-
-logger = structlog.get_logger()
-
-
-class Neo4jSearchTool:
-    """Search Neo4j knowledge graph for papers."""
-
-    def __init__(self) -> None:
-        self.name = "neo4j"  # ✅ Definir explícitamente
-
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """Search Neo4j for papers about diseases in the query."""
-        try:
-            service = get_neo4j_service()
-            if not service:
-                logger.warning("Neo4j service not available")
-                return []
-
-            # Extract disease name from query
-            disease = query
-            if "for" in query.lower():
-                disease = query.split("for")[-1].strip().rstrip("?")
-
-            # Query Neo4j
-            if not service.driver:
-                logger.warning("Neo4j driver not available")
-                return []
-            with service.driver.session(database=service.database) as session:
-                result = session.run(
-                    """
-                    MATCH (p:Paper)-[:ABOUT]->(d:Disease)
-                    WHERE d.name CONTAINS $disease
-                    RETURN p.title as title, p.abstract as abstract, 
-                           p.url as url, p.source as source
-                    ORDER BY p.updated_at DESC
-                    LIMIT $max_results
-                """,
-                    disease=disease,
-                    max_results=max_results,
-                )
-
-                records = list(result)
-
-            results = []
-            for record in records:
-                citation = Citation(
-                    source="neo4j",
-                    title=record["title"] or "Untitled",
-                    url=record["url"] or "",
-                    date="",
-                    authors=[],
-                )
-
-                evidence = Evidence(
-                    content=record["abstract"] or record["title"] or "",
-                    citation=citation,
-                    relevance=1.0,
-                    metadata={"from_kb": True, "original_source": record["source"]},
-                )
-                results.append(evidence)
-
-            logger.info(f"📊 Neo4j returned {len(results)} results")
-            return results
-        except Exception as e:
-            logger.error(f"Neo4j search failed: {e}")
-            return []
diff --git a/src/tools/pubmed.py b/src/tools/pubmed.py
deleted file mode 100644
index fe6ed6fa422cea1d80998a52cfe790a2922ad2c0..0000000000000000000000000000000000000000
--- a/src/tools/pubmed.py
+++ /dev/null
@@ -1,207 +0,0 @@
-"""PubMed search tool using NCBI E-utilities."""
-
-from typing import Any
-
-import httpx
-import xmltodict
-from tenacity import retry, stop_after_attempt, wait_exponential
-
-from src.tools.query_utils import preprocess_query
-from src.tools.rate_limiter import get_pubmed_limiter
-from src.utils.config import settings
-from src.utils.exceptions import RateLimitError, SearchError
-from src.utils.models import Citation, Evidence
-
-
-class PubMedTool:
-    """Search tool for PubMed/NCBI."""
-
-    BASE_URL = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"
-    HTTP_TOO_MANY_REQUESTS = 429
-
-    def __init__(self, api_key: str | None = None) -> None:
-        self.api_key = api_key or settings.ncbi_api_key
-        # Ignore placeholder values from .env.example
-        if self.api_key == "your-ncbi-key-here":
-            self.api_key = None
-
-        # Use shared rate limiter
-        self._limiter = get_pubmed_limiter(self.api_key)
-
-    @property
-    def name(self) -> str:
-        return "pubmed"
-
-    async def _rate_limit(self) -> None:
-        """Enforce NCBI rate limiting."""
-        await self._limiter.acquire()
-
-    def _build_params(self, **kwargs: Any) -> dict[str, Any]:
-        """Build request params with optional API key."""
-        params = {**kwargs, "retmode": "json"}
-        if self.api_key:
-            params["api_key"] = self.api_key
-        return params
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=10),
-        reraise=True,
-    )
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """
-        Search PubMed and return evidence.
-
-        1. ESearch: Get PMIDs matching query
-        2. EFetch: Get abstracts for those PMIDs
-        3. Parse and return Evidence objects
-        """
-        await self._rate_limit()
-
-        # Preprocess query to remove noise and expand synonyms
-        clean_query = preprocess_query(query)
-        final_query = clean_query if clean_query else query
-
-        async with httpx.AsyncClient(timeout=30.0) as client:
-            # Step 1: Search for PMIDs
-            search_params = self._build_params(
-                db="pubmed",
-                term=final_query,
-                retmax=max_results,
-                sort="relevance",
-            )
-
-            try:
-                search_resp = await client.get(
-                    f"{self.BASE_URL}/esearch.fcgi",
-                    params=search_params,
-                )
-                search_resp.raise_for_status()
-            except httpx.TimeoutException as e:
-                raise SearchError(f"PubMed search timeout: {e}") from e
-            except httpx.HTTPStatusError as e:
-                if e.response.status_code == self.HTTP_TOO_MANY_REQUESTS:
-                    raise RateLimitError("PubMed rate limit exceeded") from e
-                raise SearchError(f"PubMed search failed: {e}") from e
-
-            search_data = search_resp.json()
-            pmids = search_data.get("esearchresult", {}).get("idlist", [])
-
-            if not pmids:
-                return []
-
-            # Step 2: Fetch abstracts
-            await self._rate_limit()
-            fetch_params = self._build_params(
-                db="pubmed",
-                id=",".join(pmids),
-                rettype="abstract",
-            )
-            # Use XML for fetch (more reliable parsing)
-            fetch_params["retmode"] = "xml"
-
-            try:
-                fetch_resp = await client.get(
-                    f"{self.BASE_URL}/efetch.fcgi",
-                    params=fetch_params,
-                )
-                fetch_resp.raise_for_status()
-            except httpx.TimeoutException as e:
-                raise SearchError(f"PubMed fetch timeout: {e}") from e
-
-            # Step 3: Parse XML to Evidence
-            return self._parse_pubmed_xml(fetch_resp.text)
-
-    def _parse_pubmed_xml(self, xml_text: str) -> list[Evidence]:
-        """Parse PubMed XML into Evidence objects."""
-        try:
-            data = xmltodict.parse(xml_text)
-        except Exception as e:
-            raise SearchError(f"Failed to parse PubMed XML: {e}") from e
-
-        if data is None:
-            return []
-
-        # Handle case where PubmedArticleSet might not exist or be empty
-        pubmed_set = data.get("PubmedArticleSet")
-        if not pubmed_set:
-            return []
-
-        articles = pubmed_set.get("PubmedArticle", [])
-
-        # Handle single article (xmltodict returns dict instead of list)
-        if isinstance(articles, dict):
-            articles = [articles]
-
-        evidence_list = []
-        for article in articles:
-            try:
-                evidence = self._article_to_evidence(article)
-                if evidence:
-                    evidence_list.append(evidence)
-            except Exception:
-                continue  # Skip malformed articles
-
-        return evidence_list
-
-    def _article_to_evidence(self, article: dict[str, Any]) -> Evidence | None:
-        """Convert a single PubMed article to Evidence."""
-        medline = article.get("MedlineCitation", {})
-        article_data = medline.get("Article", {})
-
-        # Extract PMID
-        pmid = medline.get("PMID", {})
-        if isinstance(pmid, dict):
-            pmid = pmid.get("#text", "")
-
-        # Extract title
-        title = article_data.get("ArticleTitle", "")
-        if isinstance(title, dict):
-            title = title.get("#text", str(title))
-
-        # Extract abstract
-        abstract_data = article_data.get("Abstract", {}).get("AbstractText", "")
-        if isinstance(abstract_data, list):
-            abstract = " ".join(
-                item.get("#text", str(item)) if isinstance(item, dict) else str(item)
-                for item in abstract_data
-            )
-        elif isinstance(abstract_data, dict):
-            abstract = abstract_data.get("#text", str(abstract_data))
-        else:
-            abstract = str(abstract_data)
-
-        if not abstract or not title:
-            return None
-
-        # Extract date
-        pub_date = article_data.get("Journal", {}).get("JournalIssue", {}).get("PubDate", {})
-        year = pub_date.get("Year", "Unknown")
-        month = pub_date.get("Month", "01")
-        day = pub_date.get("Day", "01")
-        date_str = f"{year}-{month}-{day}" if year != "Unknown" else "Unknown"
-
-        # Extract authors
-        author_list = article_data.get("AuthorList", {}).get("Author", [])
-        if isinstance(author_list, dict):
-            author_list = [author_list]
-        authors = []
-        for author in author_list[:5]:  # Limit to 5 authors
-            last = author.get("LastName", "")
-            first = author.get("ForeName", "")
-            if last:
-                authors.append(f"{last} {first}".strip())
-
-        # Truncation rationale: LLM context limits + cost optimization
-        # - Abstract: 2000 chars (~500 tokens) captures key findings
-        # - Title: 500 chars covers even verbose journal titles
-        return Evidence(
-            content=abstract[:2000],
-            citation=Citation(
-                source="pubmed",
-                title=title[:500],
-                url=f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",
-                date=date_str,
-                authors=authors,
-            ),
-        )
diff --git a/src/tools/query_utils.py b/src/tools/query_utils.py
deleted file mode 100644
index 3a0b968118042c99ac3b7e00059a5902fca6d7e3..0000000000000000000000000000000000000000
--- a/src/tools/query_utils.py
+++ /dev/null
@@ -1,161 +0,0 @@
-"""Query preprocessing utilities for biomedical search."""
-
-import re
-
-# Question words and filler words to remove
-QUESTION_WORDS: set[str] = {
-    # Question starters
-    "what",
-    "which",
-    "how",
-    "why",
-    "when",
-    "where",
-    "who",
-    "whom",
-    # Auxiliary verbs in questions
-    "is",
-    "are",
-    "was",
-    "were",
-    "do",
-    "does",
-    "did",
-    "can",
-    "could",
-    "would",
-    "should",
-    "will",
-    "shall",
-    "may",
-    "might",
-    # Filler words in natural questions
-    "show",
-    "promise",
-    "help",
-    "believe",
-    "think",
-    "suggest",
-    "possible",
-    "potential",
-    "effective",
-    "useful",
-    "good",
-    # Articles (remove but less aggressively)
-    "the",
-    "a",
-    "an",
-}
-
-# Medical synonym expansions
-SYNONYMS: dict[str, list[str]] = {
-    "long covid": [
-        "long COVID",
-        "PASC",
-        "post-acute sequelae of SARS-CoV-2",
-        "post-COVID syndrome",
-        "post-COVID-19 condition",
-    ],
-    "alzheimer": [
-        "Alzheimer's disease",
-        "Alzheimer disease",
-        "AD",
-        "Alzheimer dementia",
-    ],
-    "parkinson": [
-        "Parkinson's disease",
-        "Parkinson disease",
-        "PD",
-    ],
-    "diabetes": [
-        "diabetes mellitus",
-        "type 2 diabetes",
-        "T2DM",
-        "diabetic",
-    ],
-    "cancer": [
-        "cancer",
-        "neoplasm",
-        "tumor",
-        "malignancy",
-        "carcinoma",
-    ],
-    "heart disease": [
-        "cardiovascular disease",
-        "CVD",
-        "coronary artery disease",
-        "heart failure",
-    ],
-}
-
-
-def strip_question_words(query: str) -> str:
-    """
-    Remove question words and filler terms from query.
-
-    Args:
-        query: Raw query string
-
-    Returns:
-        Query with question words removed
-    """
-    words = query.lower().split()
-    filtered = [w for w in words if w not in QUESTION_WORDS]
-    return " ".join(filtered)
-
-
-def expand_synonyms(query: str) -> str:
-    """
-    Expand medical terms to include synonyms.
-
-    Args:
-        query: Query string
-
-    Returns:
-        Query with synonym expansions in OR groups
-    """
-    result = query.lower()
-
-    for term, expansions in SYNONYMS.items():
-        if term in result:
-            # Create OR group: ("term1" OR "term2" OR "term3")
-            or_group = " OR ".join([f'"{exp}"' for exp in expansions])
-            # Case insensitive replacement is tricky with simple replace
-            # But we lowercased result already.
-            # However, this replaces ALL instances.
-            # Also, result is lowercased, so we lose original casing if any.
-            # But search engines are usually case-insensitive.
-            result = result.replace(term, f"({or_group})")
-
-    return result
-
-
-def preprocess_query(raw_query: str) -> str:
-    """
-    Full preprocessing pipeline for PubMed queries.
-
-    Pipeline:
-    1. Strip whitespace and punctuation
-    2. Remove question words
-    3. Expand medical synonyms
-
-    Args:
-        raw_query: Natural language query from user
-
-    Returns:
-        Optimized query for PubMed
-    """
-    if not raw_query or not raw_query.strip():
-        return ""
-
-    # Remove question marks and extra whitespace
-    query = raw_query.replace("?", "").strip()
-    query = re.sub(r"\s+", " ", query)
-
-    # Strip question words
-    query = strip_question_words(query)
-
-    # Expand synonyms
-    query = expand_synonyms(query)
-
-    return query.strip()
diff --git a/src/tools/rag_tool.py b/src/tools/rag_tool.py
deleted file mode 100644
index 230405db4134ab99b557c6a2f839b9384b628bdf..0000000000000000000000000000000000000000
--- a/src/tools/rag_tool.py
+++ /dev/null
@@ -1,200 +0,0 @@
-"""RAG tool for semantic search within collected evidence.
-
-Implements SearchTool protocol to enable RAG as a search option in the research workflow.
-"""
-
-from typing import TYPE_CHECKING, Any
-
-import structlog
-
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import Citation, Evidence, SourceName
-
-if TYPE_CHECKING:
-    from src.services.llamaindex_rag import LlamaIndexRAGService
-
-logger = structlog.get_logger()
-
-
-class RAGTool:
-    """Search tool that uses LlamaIndex RAG for semantic search within collected evidence.
-
-    Wraps LlamaIndexRAGService to implement the SearchTool protocol.
-    Returns Evidence objects from RAG retrieval results.
-    """
-
-    def __init__(
-        self,
-        rag_service: "LlamaIndexRAGService | None" = None,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize RAG tool.
-
-        Args:
-            rag_service: Optional RAG service instance. If None, will be lazy-initialized.
-            oauth_token: Optional OAuth token from HuggingFace login (for RAG LLM)
-        """
-        self._rag_service = rag_service
-        self.oauth_token = oauth_token
-        self.logger = logger
-
-    @property
-    def name(self) -> str:
-        """Return the tool name."""
-        return "rag"
-
-    def _get_rag_service(self) -> "LlamaIndexRAGService":
-        """
-        Get or create RAG service instance.
-
-        Returns:
-            LlamaIndexRAGService instance
-
-        Raises:
-            ConfigurationError: If RAG service cannot be initialized
-        """
-        if self._rag_service is None:
-            try:
-                from src.services.llamaindex_rag import get_rag_service
-
-                # Use local embeddings by default (no API key required)
-                # Use in-memory ChromaDB to avoid file system issues
-                # Pass OAuth token for LLM query synthesis
-                self._rag_service = get_rag_service(
-                    use_openai_embeddings=False,
-                    use_in_memory=True,  # Use in-memory for better reliability
-                    oauth_token=self.oauth_token,
-                )
-                self.logger.info("RAG service initialized with local embeddings")
-            except (ConfigurationError, ImportError) as e:
-                self.logger.error("Failed to initialize RAG service", error=str(e))
-                raise ConfigurationError(
-                    "RAG service unavailable. Check LlamaIndex dependencies are installed."
-                ) from e
-
-        return self._rag_service
-
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """
-        Search RAG system and return evidence.
-
-        Args:
-            query: The search query string
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of Evidence objects from RAG retrieval
-
-        Note:
-            Returns empty list on error (does not raise exceptions).
-        """
-        try:
-            rag_service = self._get_rag_service()
-        except ConfigurationError:
-            self.logger.warning("RAG service unavailable, returning empty results")
-            return []
-
-        try:
-            # Retrieve documents from RAG
-            retrieved_docs = rag_service.retrieve(query, top_k=max_results)
-
-            if not retrieved_docs:
-                self.logger.info("No RAG results found", query=query[:50])
-                return []
-
-            # Convert retrieved documents to Evidence objects
-            evidence_list: list[Evidence] = []
-            for doc in retrieved_docs:
-                try:
-                    evidence = self._doc_to_evidence(doc)
-                    evidence_list.append(evidence)
-                except Exception as e:
-                    self.logger.warning(
-                        "Failed to convert document to evidence",
-                        error=str(e),
-                        doc_text=doc.get("text", "")[:50],
-                    )
-                    continue
-
-            self.logger.info(
-                "RAG search completed",
-                query=query[:50],
-                results=len(evidence_list),
-            )
-            return evidence_list
-
-        except Exception as e:
-            self.logger.error("RAG search failed", error=str(e), query=query[:50])
-            # Return empty list on error (graceful degradation)
-            return []
-
-    def _doc_to_evidence(self, doc: dict[str, Any]) -> Evidence:
-        """
-        Convert RAG document to Evidence object.
-
-        Args:
-            doc: Document dict with keys: text, score, metadata
-
-        Returns:
-            Evidence object
-
-        Raises:
-            ValueError: If document is missing required fields
-        """
-        text = doc.get("text", "")
-        if not text:
-            raise ValueError("Document missing text content")
-
-        metadata = doc.get("metadata", {})
-        score = doc.get("score", 0.0)
-
-        # Extract citation information from metadata
-        source: SourceName = "rag"  # RAG is the source
-        title = metadata.get("title", "Untitled")
-        url = metadata.get("url", "")
-        date = metadata.get("date", "Unknown")
-        authors_str = metadata.get("authors", "")
-        authors = [a.strip() for a in authors_str.split(",") if a.strip()] if authors_str else []
-
-        # Create citation
-        citation = Citation(
-            source=source,
-            title=title[:500],  # Enforce max length
-            url=url,
-            date=date,
-            authors=authors,
-        )
-
-        # Create evidence with relevance score (normalize score to 0-1 if needed)
-        relevance = min(max(float(score), 0.0), 1.0) if score else 0.0
-
-        return Evidence(
-            content=text,
-            citation=citation,
-            relevance=relevance,
-        )
-
-
-def create_rag_tool(
-    rag_service: "LlamaIndexRAGService | None" = None,
-    oauth_token: str | None = None,
-) -> RAGTool:
-    """
-    Factory function to create a RAG tool.
-
-    Args:
-        rag_service: Optional RAG service instance. If None, will be lazy-initialized.
-        oauth_token: Optional OAuth token from HuggingFace login (for RAG LLM)
-
-    Returns:
-        Configured RAGTool instance
-
-    Raises:
-        ConfigurationError: If RAG service cannot be initialized and rag_service is None
-    """
-    try:
-        return RAGTool(rag_service=rag_service, oauth_token=oauth_token)
-    except Exception as e:
-        logger.error("Failed to create RAG tool", error=str(e))
-        raise ConfigurationError(f"Failed to create RAG tool: {e}") from e
diff --git a/src/tools/rate_limiter.py b/src/tools/rate_limiter.py
deleted file mode 100644
index 61e0afdce9129c6669c3f6cda0d47e515aa1e810..0000000000000000000000000000000000000000
--- a/src/tools/rate_limiter.py
+++ /dev/null
@@ -1,148 +0,0 @@
-"""Rate limiting utilities using the limits library."""
-
-import asyncio
-from typing import ClassVar
-
-from limits import RateLimitItem, parse
-from limits.storage import MemoryStorage
-from limits.strategies import MovingWindowRateLimiter
-
-
-class RateLimiter:
-    """
-    Async-compatible rate limiter using limits library.
-
-    Uses moving window algorithm for smooth rate limiting.
-    """
-
-    def __init__(self, rate: str) -> None:
-        """
-        Initialize rate limiter.
-
-        Args:
-            rate: Rate string like "3/second" or "10/second"
-        """
-        self.rate = rate
-        self._storage = MemoryStorage()
-        self._limiter = MovingWindowRateLimiter(self._storage)
-        self._rate_limit: RateLimitItem = parse(rate)
-        self._identity = "default"  # Single identity for shared limiting
-
-    async def acquire(self, wait: bool = True) -> bool:
-        """
-        Acquire permission to make a request.
-
-        ASYNC-SAFE: Uses asyncio.sleep(), never time.sleep().
-        The polling pattern allows other coroutines to run while waiting.
-
-        Args:
-            wait: If True, wait until allowed. If False, return immediately.
-
-        Returns:
-            True if allowed, False if not (only when wait=False)
-        """
-        while True:
-            # Check if we can proceed (synchronous, fast - ~microseconds)
-            if self._limiter.hit(self._rate_limit, self._identity):
-                return True
-
-            if not wait:
-                return False
-
-            # CRITICAL: Use asyncio.sleep(), NOT time.sleep()
-            # This yields control to the event loop, allowing other
-            # coroutines (UI, parallel searches) to run.
-            # Using 0.01s for fine-grained responsiveness.
-            await asyncio.sleep(0.01)
-
-    def reset(self) -> None:
-        """Reset the rate limiter (for testing)."""
-        self._storage.reset()
-
-
-# Singleton limiter for PubMed/NCBI
-_pubmed_limiter: RateLimiter | None = None
-
-
-def get_pubmed_limiter(api_key: str | None = None) -> RateLimiter:
-    """
-    Get the shared PubMed rate limiter.
-
-    Rate depends on whether API key is provided:
-    - Without key: 3 requests/second
-    - With key: 10 requests/second
-
-    Args:
-        api_key: NCBI API key (optional)
-
-    Returns:
-        Shared RateLimiter instance
-    """
-    global _pubmed_limiter
-
-    if _pubmed_limiter is None:
-        rate = "10/second" if api_key else "3/second"
-        _pubmed_limiter = RateLimiter(rate)
-
-    return _pubmed_limiter
-
-
-def reset_pubmed_limiter() -> None:
-    """Reset the PubMed limiter (for testing)."""
-    global _pubmed_limiter
-    _pubmed_limiter = None
-
-
-def get_serper_limiter(api_key: str | None = None) -> RateLimiter:
-    """
-    Get the shared Serper API rate limiter.
-
-    Rate: 10 requests/second (Serper API limit)
-
-    Args:
-        api_key: Serper API key (optional, for consistency with other limiters)
-
-    Returns:
-        Shared RateLimiter instance
-    """
-    return RateLimiterFactory.get("serper", "10/second")
-
-
-def get_searchxng_limiter() -> RateLimiter:
-    """
-    Get the shared SearchXNG API rate limiter.
-
-    Rate: 5 requests/second (conservative limit)
-
-    Returns:
-        Shared RateLimiter instance
-    """
-    return RateLimiterFactory.get("searchxng", "5/second")
-
-
-# Factory for other APIs
-class RateLimiterFactory:
-    """Factory for creating/getting rate limiters for different APIs."""
-
-    _limiters: ClassVar[dict[str, RateLimiter]] = {}
-
-    @classmethod
-    def get(cls, api_name: str, rate: str) -> RateLimiter:
-        """
-        Get or create a rate limiter for an API.
-
-        Args:
-            api_name: Unique identifier for the API
-            rate: Rate limit string (e.g., "10/second")
-
-        Returns:
-            RateLimiter instance (shared for same api_name)
-        """
-        if api_name not in cls._limiters:
-            cls._limiters[api_name] = RateLimiter(rate)
-        return cls._limiters[api_name]
-
-    @classmethod
-    def reset_all(cls) -> None:
-        """Reset all limiters (for testing)."""
-        cls._limiters.clear()
diff --git a/src/tools/search_handler.py b/src/tools/search_handler.py
deleted file mode 100644
index 8814a8b72762082d49a21ada4fe8c8d4e0ffd825..0000000000000000000000000000000000000000
--- a/src/tools/search_handler.py
+++ /dev/null
@@ -1,220 +0,0 @@
-"""Search handler - orchestrates multiple search tools."""
-
-import asyncio
-from typing import TYPE_CHECKING, cast
-
-import structlog
-
-from src.services.neo4j_service import get_neo4j_service
-from src.tools.base import SearchTool
-from src.tools.rag_tool import create_rag_tool
-from src.utils.exceptions import ConfigurationError, SearchError
-from src.utils.models import Evidence, SearchResult, SourceName
-
-if TYPE_CHECKING:
-    from src.services.llamaindex_rag import LlamaIndexRAGService
-else:
-    LlamaIndexRAGService = object
-
-logger = structlog.get_logger()
-
-
-class SearchHandler:
-    """Orchestrates parallel searches across multiple tools."""
-
-    def __init__(
-        self,
-        tools: list[SearchTool],
-        timeout: float = 30.0,
-        include_rag: bool = False,
-        auto_ingest_to_rag: bool = True,
-        oauth_token: str | None = None,
-    ) -> None:
-        """
-        Initialize the search handler.
-
-        Args:
-            tools: List of search tools to use
-            timeout: Timeout for each search in seconds
-            include_rag: Whether to include RAG tool in searches
-            auto_ingest_to_rag: Whether to automatically ingest results into RAG
-            oauth_token: Optional OAuth token from HuggingFace login (for RAG LLM)
-        """
-        self.tools = list(tools)  # Make a copy
-        self.timeout = timeout
-        self.auto_ingest_to_rag = auto_ingest_to_rag
-        self.oauth_token = oauth_token
-        self._rag_service: LlamaIndexRAGService | None = None
-
-        if include_rag:
-            self.add_rag_tool()
-
-    def add_rag_tool(self) -> None:
-        """Add RAG tool to the tools list if available."""
-        try:
-            rag_tool = create_rag_tool(oauth_token=self.oauth_token)
-            self.tools.append(rag_tool)
-            logger.info("RAG tool added to search handler")
-        except ConfigurationError:
-            logger.warning(
-                "RAG tool unavailable, not adding to search handler",
-                hint="LlamaIndex dependencies required",
-            )
-        except Exception as e:
-            logger.error("Failed to add RAG tool", error=str(e))
-
-    def _get_rag_service(self) -> "LlamaIndexRAGService | None":
-        """Get or create RAG service for ingestion."""
-        if self._rag_service is None and self.auto_ingest_to_rag:
-            try:
-                from src.services.llamaindex_rag import get_rag_service
-
-                # Use local embeddings by default (no API key required)
-                # Use in-memory ChromaDB to avoid file system issues
-                # Pass OAuth token for LLM query synthesis
-                self._rag_service = get_rag_service(
-                    use_openai_embeddings=False,
-                    use_in_memory=True,  # Use in-memory for better reliability
-                    oauth_token=self.oauth_token,
-                )
-                logger.info("RAG service initialized for ingestion with local embeddings")
-            except (ConfigurationError, ImportError):
-                logger.warning("RAG service unavailable for ingestion")
-                return None
-        return self._rag_service
-
-    async def execute(self, query: str, max_results_per_tool: int = 10) -> SearchResult:
-        """
-        Execute search across all tools in parallel.
-
-        Args:
-            query: The search query
-            max_results_per_tool: Max results from each tool
-
-        Returns:
-            SearchResult containing all evidence and metadata
-        """
-        logger.info("Starting search", query=query, tools=[t.name for t in self.tools])
-
-        # Create tasks for parallel execution
-        tasks = [
-            self._search_with_timeout(tool, query, max_results_per_tool) for tool in self.tools
-        ]
-
-        # Gather results (don't fail if one tool fails)
-        results = await asyncio.gather(*tasks, return_exceptions=True)
-
-        # Process results
-        all_evidence: list[Evidence] = []
-        sources_searched: list[SourceName] = []
-        errors: list[str] = []
-
-        # Map tool names to SourceName values
-        # Some tools have internal names that differ from SourceName literals
-        tool_name_to_source: dict[str, SourceName] = {
-            "duckduckgo": "web",
-            "serper": "web",  # Serper uses Google search but maps to "web" source
-            "searchxng": "web",  # SearchXNG also maps to "web" source
-            "pubmed": "pubmed",
-            "clinicaltrials": "clinicaltrials",
-            "europepmc": "europepmc",
-            "rag": "rag",
-            "web": "web",  # In case tool already uses "web"
-        }
-
-        for tool, result in zip(self.tools, results, strict=True):
-            if isinstance(result, Exception):
-                errors.append(f"{tool.name}: {result!s}")
-                logger.warning("Search tool failed", tool=tool.name, error=str(result))
-            else:
-                # Cast result to list[Evidence] as we know it succeeded
-                success_result = cast(list[Evidence], result)
-                all_evidence.extend(success_result)
-
-                # Map tool.name to SourceName (handle tool names that don't match SourceName literals)
-                tool_name = tool_name_to_source.get(tool.name, cast(SourceName, tool.name))
-                if tool_name not in [
-                    "pubmed",
-                    "clinicaltrials",
-                    "biorxiv",
-                    "europepmc",
-                    "preprint",
-                    "rag",
-                    "web",
-                ]:
-                    logger.warning(
-                        "Tool name not in SourceName literals, defaulting to 'web'",
-                        tool_name=tool.name,
-                    )
-                    tool_name = "web"
-                sources_searched.append(tool_name)
-                logger.info("Search tool succeeded", tool=tool.name, count=len(success_result))
-
-        search_result = SearchResult(
-            query=query,
-            evidence=all_evidence,
-            sources_searched=sources_searched,
-            total_found=len(all_evidence),
-            errors=errors,
-        )
-
-        # Ingest evidence into RAG if enabled and available
-        if self.auto_ingest_to_rag and all_evidence:
-            rag_service = self._get_rag_service()
-            if rag_service:
-                try:
-                    # Filter out RAG-sourced evidence (avoid circular ingestion)
-                    evidence_to_ingest = [e for e in all_evidence if e.citation.source != "rag"]
-                    if evidence_to_ingest:
-                        rag_service.ingest_evidence(evidence_to_ingest)
-                        logger.info(
-                            "Ingested evidence into RAG",
-                            count=len(evidence_to_ingest),
-                        )
-                except Exception as e:
-                    logger.warning("Failed to ingest evidence into RAG", error=str(e))
-
-        # 🔥 INGEST INTO NEO4J KNOWLEDGE GRAPH 🔥
-        if all_evidence:
-            try:
-                neo4j_service = get_neo4j_service()
-                if neo4j_service:
-                    # Extract disease from query
-                    disease = query
-                    if "for" in query.lower():
-                        disease = query.split("for")[-1].strip().rstrip("?")
-
-                    # Convert Evidence objects to dicts for Neo4j
-                    papers = []
-                    for ev in all_evidence:
-                        papers.append(
-                            {
-                                "id": ev.citation.url or "",
-                                "title": ev.citation.title or "",
-                                "abstract": ev.content,
-                                "url": ev.citation.url or "",
-                                "source": ev.citation.source,
-                            }
-                        )
-
-                    stats = neo4j_service.ingest_search_results(disease, papers)
-                    logger.info("💾 Saved to Neo4j", stats=stats)
-            except Exception as e:
-                logger.warning("Neo4j ingestion failed", error=str(e))
-
-        return search_result
-
-    async def _search_with_timeout(
-        self,
-        tool: SearchTool,
-        query: str,
-        max_results: int,
-    ) -> list[Evidence]:
-        """Execute a single tool search with timeout."""
-        try:
-            return await asyncio.wait_for(
-                tool.search(query, max_results),
-                timeout=self.timeout,
-            )
-        except TimeoutError as e:
-            raise SearchError(f"{tool.name} search timed out after {self.timeout}s") from e
diff --git a/src/tools/searchxng_web_search.py b/src/tools/searchxng_web_search.py
deleted file mode 100644
index e120b61f72b4e28e780ad43a5673f49f5d27ef58..0000000000000000000000000000000000000000
--- a/src/tools/searchxng_web_search.py
+++ /dev/null
@@ -1,120 +0,0 @@
-"""SearchXNG web search tool using SearchXNG API for Google searches."""
-
-import structlog
-from tenacity import retry, stop_after_attempt, wait_exponential
-
-from src.tools.query_utils import preprocess_query
-from src.tools.rate_limiter import get_searchxng_limiter
-from src.tools.vendored.searchxng_client import SearchXNGClient
-from src.tools.vendored.web_search_core import scrape_urls
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError, RateLimitError, SearchError
-from src.utils.models import Citation, Evidence
-
-logger = structlog.get_logger()
-
-
-class SearchXNGWebSearchTool:
-    """Tool for searching the web using SearchXNG API (Google search)."""
-
-    def __init__(self, host: str | None = None) -> None:
-        """Initialize SearchXNG web search tool.
-
-        Args:
-            host: SearchXNG host URL. If None, reads from settings.
-
-        Raises:
-            ConfigurationError: If no host is available.
-        """
-        self.host = host or settings.searchxng_host
-        if not self.host:
-            raise ConfigurationError(
-                "SearchXNG host required. Set SEARCHXNG_HOST environment variable or searchxng_host in settings."
-            )
-
-        self._client = SearchXNGClient(host=self.host)
-        self._limiter = get_searchxng_limiter()
-
-    @property
-    def name(self) -> str:
-        """Return the name of this search tool."""
-        return "searchxng"
-
-    async def _rate_limit(self) -> None:
-        """Enforce SearchXNG API rate limiting."""
-        await self._limiter.acquire()
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=10),
-        reraise=True,
-    )
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """Execute a web search using SearchXNG API.
-
-        Args:
-            query: The search query string
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of Evidence objects
-
-        Raises:
-            SearchError: If the search fails
-            RateLimitError: If rate limit is exceeded
-        """
-        await self._rate_limit()
-
-        # Preprocess query to remove noise
-        clean_query = preprocess_query(query)
-        final_query = clean_query if clean_query else query
-
-        try:
-            # Get search results (snippets)
-            search_results = await self._client.search(
-                final_query, filter_for_relevance=False, max_results=max_results
-            )
-
-            if not search_results:
-                logger.info("No search results found", query=final_query)
-                return []
-
-            # Scrape URLs to get full content
-            scraped = await scrape_urls(search_results)
-
-            # Convert ScrapeResult to Evidence objects
-            evidence = []
-            for result in scraped:
-                # Truncate title to max 500 characters to match Citation model validation
-                title = result.title
-                if len(title) > 500:
-                    title = title[:497] + "..."
-
-                ev = Evidence(
-                    content=result.text,
-                    citation=Citation(
-                        title=title,
-                        url=result.url,
-                        source="web",  # Use "web" to match SourceName literal, not "searchxng"
-                        date="Unknown",
-                        authors=[],
-                    ),
-                    relevance=0.0,
-                )
-                evidence.append(ev)
-
-            logger.info(
-                "SearchXNG search complete",
-                query=final_query,
-                results_found=len(evidence),
-            )
-
-            return evidence
-
-        except RateLimitError:
-            raise
-        except SearchError:
-            raise
-        except Exception as e:
-            logger.error("Unexpected error in SearchXNG search", error=str(e), query=final_query)
-            raise SearchError(f"SearchXNG search failed: {e}") from e
diff --git a/src/tools/serper_web_search.py b/src/tools/serper_web_search.py
deleted file mode 100644
index 77fc6eb074c84ce61f3be2048eaa8062ff343b1e..0000000000000000000000000000000000000000
--- a/src/tools/serper_web_search.py
+++ /dev/null
@@ -1,120 +0,0 @@
-"""Serper web search tool using Serper API for Google searches."""
-
-import structlog
-from tenacity import retry, stop_after_attempt, wait_exponential
-
-from src.tools.query_utils import preprocess_query
-from src.tools.rate_limiter import get_serper_limiter
-from src.tools.vendored.serper_client import SerperClient
-from src.tools.vendored.web_search_core import scrape_urls
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError, RateLimitError, SearchError
-from src.utils.models import Citation, Evidence
-
-logger = structlog.get_logger()
-
-
-class SerperWebSearchTool:
-    """Tool for searching the web using Serper API (Google search)."""
-
-    def __init__(self, api_key: str | None = None) -> None:
-        """Initialize Serper web search tool.
-
-        Args:
-            api_key: Serper API key. If None, reads from settings.
-
-        Raises:
-            ConfigurationError: If no API key is available.
-        """
-        self.api_key = api_key or settings.serper_api_key
-        if not self.api_key:
-            raise ConfigurationError(
-                "Serper API key required. Set SERPER_API_KEY environment variable or serper_api_key in settings."
-            )
-
-        self._client = SerperClient(api_key=self.api_key)
-        self._limiter = get_serper_limiter(self.api_key)
-
-    @property
-    def name(self) -> str:
-        """Return the name of this search tool."""
-        return "serper"
-
-    async def _rate_limit(self) -> None:
-        """Enforce Serper API rate limiting."""
-        await self._limiter.acquire()
-
-    @retry(
-        stop=stop_after_attempt(3),
-        wait=wait_exponential(multiplier=1, min=1, max=10),
-        reraise=True,
-    )
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """Execute a web search using Serper API.
-
-        Args:
-            query: The search query string
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of Evidence objects
-
-        Raises:
-            SearchError: If the search fails
-            RateLimitError: If rate limit is exceeded
-        """
-        await self._rate_limit()
-
-        # Preprocess query to remove noise
-        clean_query = preprocess_query(query)
-        final_query = clean_query if clean_query else query
-
-        try:
-            # Get search results (snippets)
-            search_results = await self._client.search(
-                final_query, filter_for_relevance=False, max_results=max_results
-            )
-
-            if not search_results:
-                logger.info("No search results found", query=final_query)
-                return []
-
-            # Scrape URLs to get full content
-            scraped = await scrape_urls(search_results)
-
-            # Convert ScrapeResult to Evidence objects
-            evidence = []
-            for result in scraped:
-                # Truncate title to max 500 characters to match Citation model validation
-                title = result.title
-                if len(title) > 500:
-                    title = title[:497] + "..."
-
-                ev = Evidence(
-                    content=result.text,
-                    citation=Citation(
-                        title=title,
-                        url=result.url,
-                        source="web",  # Use "web" to match SourceName literal, not "serper"
-                        date="Unknown",
-                        authors=[],
-                    ),
-                    relevance=0.0,
-                )
-                evidence.append(ev)
-
-            logger.info(
-                "Serper search complete",
-                query=final_query,
-                results_found=len(evidence),
-            )
-
-            return evidence
-
-        except RateLimitError:
-            raise
-        except SearchError:
-            raise
-        except Exception as e:
-            logger.error("Unexpected error in Serper search", error=str(e), query=final_query)
-            raise SearchError(f"Serper search failed: {e}") from e
diff --git a/src/tools/tool_executor.py b/src/tools/tool_executor.py
deleted file mode 100644
index e499960726ae4f0044e863fbc0f30a4a4afd0e9e..0000000000000000000000000000000000000000
--- a/src/tools/tool_executor.py
+++ /dev/null
@@ -1,193 +0,0 @@
-"""Tool executor for running AgentTask objects.
-
-Executes tool tasks selected by the tool selector agent and returns ToolAgentOutput.
-"""
-
-import structlog
-
-from src.tools.crawl_adapter import crawl_website
-from src.tools.rag_tool import RAGTool, create_rag_tool
-from src.tools.web_search_adapter import web_search
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import AgentTask, Evidence, ToolAgentOutput
-
-logger = structlog.get_logger()
-
-# Module-level RAG tool instance (lazy initialization)
-_rag_tool: RAGTool | None = None
-
-
-def _get_rag_tool() -> RAGTool | None:
-    """
-    Get or create RAG tool instance.
-
-    Returns:
-        RAGTool instance, or None if unavailable
-    """
-    global _rag_tool
-    if _rag_tool is None:
-        try:
-            _rag_tool = create_rag_tool()
-            logger.info("RAG tool initialized")
-        except ConfigurationError:
-            logger.warning("RAG tool unavailable (OPENAI_API_KEY required)")
-            return None
-        except Exception as e:
-            logger.error("Failed to initialize RAG tool", error=str(e))
-            return None
-    return _rag_tool
-
-
-def _evidence_to_text(evidence_list: list[Evidence]) -> str:
-    """
-    Convert Evidence objects to formatted text.
-
-    Args:
-        evidence_list: List of Evidence objects
-
-    Returns:
-        Formatted text string with citations and content
-    """
-    if not evidence_list:
-        return "No evidence found."
-
-    formatted_parts = []
-    for i, evidence in enumerate(evidence_list, 1):
-        citation = evidence.citation
-        citation_str = f"{citation.formatted}"
-        if citation.url:
-            citation_str += f" [{citation.url}]"
-
-        formatted_parts.append(f"[{i}] {citation_str}\n\n{evidence.content}\n\n---\n")
-
-    return "\n".join(formatted_parts)
-
-
-async def execute_agent_task(task: AgentTask) -> ToolAgentOutput:
-    """
-    Execute a single agent task and return ToolAgentOutput.
-
-    Args:
-        task: AgentTask specifying which tool to use and what query to run
-
-    Returns:
-        ToolAgentOutput with results and source URLs
-    """
-    logger.info(
-        "Executing agent task",
-        agent=task.agent,
-        query=task.query[:100] if task.query else "",
-        gap=task.gap[:100] if task.gap else "",
-    )
-
-    try:
-        if task.agent == "WebSearchAgent":
-            # Use web search adapter
-            result_text = await web_search(task.query)
-            # Extract URLs from result (simple heuristic - look for http/https)
-            import re
-
-            urls = re.findall(r"https?://[^\s\)]+", result_text)
-            sources = list(set(urls))  # Deduplicate
-
-            return ToolAgentOutput(output=result_text, sources=sources)
-
-        elif task.agent == "SiteCrawlerAgent":
-            # Use crawl adapter
-            if task.entity_website:
-                starting_url = task.entity_website
-            elif task.query.startswith(("http://", "https://")):
-                starting_url = task.query
-            else:
-                # Try to construct URL from query
-                starting_url = f"https://{task.query}"
-
-            result_text = await crawl_website(starting_url)
-            # Extract URLs from result
-            import re
-
-            urls = re.findall(r"https?://[^\s\)]+", result_text)
-            sources = list(set(urls))  # Deduplicate
-
-            return ToolAgentOutput(output=result_text, sources=sources)
-
-        elif task.agent == "RAGAgent":
-            # Use RAG tool for semantic search
-            rag_tool = _get_rag_tool()
-            if rag_tool is None:
-                return ToolAgentOutput(
-                    output="RAG service unavailable. OPENAI_API_KEY required.",
-                    sources=[],
-                )
-
-            # Search RAG and get Evidence objects
-            evidence_list = await rag_tool.search(task.query, max_results=10)
-
-            if not evidence_list:
-                return ToolAgentOutput(
-                    output="No relevant evidence found in collected research.",
-                    sources=[],
-                )
-
-            # Convert Evidence to formatted text
-            result_text = _evidence_to_text(evidence_list)
-
-            # Extract URLs from evidence citations
-            sources = [evidence.citation.url for evidence in evidence_list if evidence.citation.url]
-
-            return ToolAgentOutput(output=result_text, sources=sources)
-
-        else:
-            logger.warning("Unknown agent type", agent=task.agent)
-            return ToolAgentOutput(
-                output=f"Unknown agent type: {task.agent}. Available: WebSearchAgent, SiteCrawlerAgent, RAGAgent",
-                sources=[],
-            )
-
-    except Exception as e:
-        logger.error("Tool execution failed", error=str(e), agent=task.agent)
-        return ToolAgentOutput(
-            output=f"Error executing {task.agent} for gap '{task.gap}': {e!s}",
-            sources=[],
-        )
-
-
-async def execute_tool_tasks(
-    tasks: list[AgentTask],
-) -> dict[str, ToolAgentOutput]:
-    """
-    Execute multiple agent tasks concurrently.
-
-    Args:
-        tasks: List of AgentTask objects to execute
-
-    Returns:
-        Dictionary mapping task keys to ToolAgentOutput results
-    """
-    import asyncio
-
-    logger.info("Executing tool tasks", count=len(tasks))
-
-    # Create async tasks
-    async_tasks = [execute_agent_task(task) for task in tasks]
-
-    # Run concurrently
-    results_list = await asyncio.gather(*async_tasks, return_exceptions=True)
-
-    # Build results dictionary
-    results: dict[str, ToolAgentOutput] = {}
-    for i, (task, result) in enumerate(zip(tasks, results_list, strict=False)):
-        if isinstance(result, Exception):
-            logger.error("Task execution failed", error=str(result), task_index=i)
-            results[f"{task.agent}_{i}"] = ToolAgentOutput(output=f"Error: {result!s}", sources=[])
-        else:
-            # Type narrowing: result is ToolAgentOutput after Exception check
-            assert isinstance(result, ToolAgentOutput), (
-                "Expected ToolAgentOutput after Exception check"
-            )
-            key = f"{task.agent}_{task.gap or i}" if task.gap else f"{task.agent}_{i}"
-            results[key] = result
-
-    logger.info("Tool tasks completed", completed=len(results))
-
-    return results
diff --git a/src/tools/vendored/__init__.py b/src/tools/vendored/__init__.py
deleted file mode 100644
index e96e825253d1d80cb65b5f33c22878fd4ddc225a..0000000000000000000000000000000000000000
--- a/src/tools/vendored/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-"""Vendored web search components from folder/tools/web_search.py."""
-
-from src.tools.vendored.crawl_website import crawl_website
-from src.tools.vendored.searchxng_client import SearchXNGClient
-from src.tools.vendored.serper_client import SerperClient
-from src.tools.vendored.web_search_core import (
-    CONTENT_LENGTH_LIMIT,
-    ScrapeResult,
-    WebpageSnippet,
-    fetch_and_process_url,
-    html_to_text,
-    is_valid_url,
-    scrape_urls,
-)
-
-__all__ = [
-    "CONTENT_LENGTH_LIMIT",
-    "ScrapeResult",
-    "SearchXNGClient",
-    "SerperClient",
-    "WebpageSnippet",
-    "crawl_website",
-    "fetch_and_process_url",
-    "html_to_text",
-    "is_valid_url",
-    "scrape_urls",
-]
diff --git a/src/tools/vendored/crawl_website.py b/src/tools/vendored/crawl_website.py
deleted file mode 100644
index 235399d12884763a1e3deb3c36063acc500e83c6..0000000000000000000000000000000000000000
--- a/src/tools/vendored/crawl_website.py
+++ /dev/null
@@ -1,143 +0,0 @@
-"""Website crawl tool vendored from folder/tools/crawl_website.py.
-
-This module provides website crawling functionality that starts from a given URL
-and crawls linked pages in a breadth-first manner, prioritizing navigation links.
-"""
-
-from urllib.parse import urljoin, urlparse
-
-import aiohttp
-import structlog
-from bs4 import BeautifulSoup
-
-from src.tools.vendored.web_search_core import (
-    ScrapeResult,
-    WebpageSnippet,
-    scrape_urls,
-    ssl_context,
-)
-
-logger = structlog.get_logger()
-
-
-async def _extract_links(
-    html: str, current_url: str, base_domain: str
-) -> tuple[list[str], list[str]]:
-    """Extract prioritized links from HTML content."""
-    soup = BeautifulSoup(html, "html.parser")
-    nav_links = set()
-    body_links = set()
-
-    # Find navigation/header links
-    for nav_element in soup.find_all(["nav", "header"]):
-        for a in nav_element.find_all("a", href=True):
-            href = str(a["href"])
-            link = urljoin(current_url, href)
-            if urlparse(link).netloc == base_domain:
-                nav_links.add(link)
-
-    # Find remaining body links
-    for a in soup.find_all("a", href=True):
-        href = str(a["href"])
-        link = urljoin(current_url, href)
-        if urlparse(link).netloc == base_domain and link not in nav_links:
-            body_links.add(link)
-
-    return list(nav_links), list(body_links)
-
-
-async def _fetch_page(url: str) -> str:
-    """Fetch HTML content from a URL."""
-    connector = aiohttp.TCPConnector(ssl=ssl_context)
-    async with aiohttp.ClientSession(connector=connector) as session:
-        try:
-            timeout = aiohttp.ClientTimeout(total=30)
-            async with session.get(url, timeout=timeout) as response:
-                if response.status == 200:
-                    return await response.text()
-                return ""
-        except Exception as e:
-            logger.warning("Error fetching URL", url=url, error=str(e))
-            return ""
-
-
-def _add_links_to_queue(
-    links: list[str],
-    queue: list[str],
-    all_pages_to_scrape: set[str],
-    remaining_slots: int,
-) -> int:
-    """Add normalized links to queue if not already visited."""
-    for link in links:
-        normalized_link = link.rstrip("/")
-        if normalized_link not in all_pages_to_scrape and remaining_slots > 0:
-            queue.append(normalized_link)
-            all_pages_to_scrape.add(normalized_link)
-            remaining_slots -= 1
-    return remaining_slots
-
-
-async def crawl_website(starting_url: str) -> list[ScrapeResult] | str:
-    """Crawl the pages of a website starting with the starting_url and then descending into the pages linked from there.
-
-    Prioritizes links found in headers/navigation, then body links, then subsequent pages.
-
-    Args:
-        starting_url: Starting URL to scrape
-
-    Returns:
-        List of ScrapeResult objects which have the following fields:
-            - url: The URL of the web page
-            - title: The title of the web page
-            - description: The description of the web page
-            - text: The text content of the web page
-    """
-    if not starting_url:
-        return "Empty URL provided"
-
-    # Ensure URL has a protocol
-    if not starting_url.startswith(("http://", "https://")):
-        starting_url = "http://" + starting_url
-
-    max_pages = 10
-    base_domain = urlparse(starting_url).netloc
-
-    # Initialize with starting URL
-    queue: list[str] = [starting_url]
-    next_level_queue: list[str] = []
-    all_pages_to_scrape: set[str] = set([starting_url])
-
-    # Breadth-first crawl
-    while queue and len(all_pages_to_scrape) < max_pages:
-        current_url = queue.pop(0)
-
-        # Fetch and process the page
-        html_content = await _fetch_page(current_url)
-        if html_content:
-            nav_links, body_links = await _extract_links(html_content, current_url, base_domain)
-
-            # Add unvisited nav links to current queue (higher priority)
-            remaining_slots = max_pages - len(all_pages_to_scrape)
-            remaining_slots = _add_links_to_queue(
-                nav_links, queue, all_pages_to_scrape, remaining_slots
-            )
-
-            # Add unvisited body links to next level queue (lower priority)
-            remaining_slots = _add_links_to_queue(
-                body_links, next_level_queue, all_pages_to_scrape, remaining_slots
-            )
-
-        # If current queue is empty, add next level links
-        if not queue:
-            queue = next_level_queue
-            next_level_queue = []
-
-    # Convert set to list for final processing
-    pages_to_scrape = list(all_pages_to_scrape)[:max_pages]
-    pages_to_scrape_snippets: list[WebpageSnippet] = [
-        WebpageSnippet(url=page, title="", description="") for page in pages_to_scrape
-    ]
-
-    # Use scrape_urls to get the content for all discovered pages
-    result = await scrape_urls(pages_to_scrape_snippets)
-    return result
diff --git a/src/tools/vendored/searchxng_client.py b/src/tools/vendored/searchxng_client.py
deleted file mode 100644
index 228b787b428543d460d3170387ed374659076c6c..0000000000000000000000000000000000000000
--- a/src/tools/vendored/searchxng_client.py
+++ /dev/null
@@ -1,96 +0,0 @@
-"""SearchXNG API client for Google searches.
-
-Vendored and adapted from folder/tools/web_search.py.
-"""
-
-import os
-
-import aiohttp
-import structlog
-
-from src.tools.vendored.web_search_core import WebpageSnippet, ssl_context
-from src.utils.exceptions import RateLimitError, SearchError
-
-logger = structlog.get_logger()
-
-
-class SearchXNGClient:
-    """A client for the SearchXNG API to perform Google searches."""
-
-    def __init__(self, host: str | None = None) -> None:
-        """Initialize SearchXNG client.
-
-        Args:
-            host: SearchXNG host URL. If None, reads from SEARCHXNG_HOST env var.
-
-        Raises:
-            ConfigurationError: If no host is provided.
-        """
-        host = host or os.getenv("SEARCHXNG_HOST")
-        if not host:
-            from src.utils.exceptions import ConfigurationError
-
-            raise ConfigurationError("SEARCHXNG_HOST environment variable is not set")
-
-        # Ensure host ends with /search
-        if not host.endswith("/search"):
-            host = f"{host}/search" if not host.endswith("/") else f"{host}search"
-
-        self.host: str = host
-
-    async def search(
-        self, query: str, filter_for_relevance: bool = False, max_results: int = 5
-    ) -> list[WebpageSnippet]:
-        """Perform a search using SearchXNG API.
-
-        Args:
-            query: The search query
-            filter_for_relevance: Whether to filter results (currently not implemented)
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of WebpageSnippet objects with search results
-
-        Raises:
-            SearchError: If the search fails
-            RateLimitError: If rate limit is exceeded
-        """
-        connector = aiohttp.TCPConnector(ssl=ssl_context)
-        try:
-            async with aiohttp.ClientSession(connector=connector) as session:
-                params = {
-                    "q": query,
-                    "format": "json",
-                }
-
-                async with session.get(self.host, params=params) as response:
-                    if response.status == 429:
-                        raise RateLimitError("SearchXNG API rate limit exceeded")
-
-                    response.raise_for_status()
-                    results = await response.json()
-
-                    results_list = [
-                        WebpageSnippet(
-                            url=result.get("url", ""),
-                            title=result.get("title", ""),
-                            description=result.get("content", ""),
-                        )
-                        for result in results.get("results", [])
-                    ]
-
-                    if not results_list:
-                        logger.info("No search results found", query=query)
-                        return []
-
-                    # Return results up to max_results
-                    return results_list[:max_results]
-
-        except aiohttp.ClientError as e:
-            logger.error("SearchXNG API request failed", error=str(e), query=query)
-            raise SearchError(f"SearchXNG API request failed: {e}") from e
-        except RateLimitError:
-            raise
-        except Exception as e:
-            logger.error("Unexpected error in SearchXNG search", error=str(e), query=query)
-            raise SearchError(f"SearchXNG search failed: {e}") from e
diff --git a/src/tools/vendored/serper_client.py b/src/tools/vendored/serper_client.py
deleted file mode 100644
index ccf8f1b1e14efebbbca31333f3a097a0f1ee0a07..0000000000000000000000000000000000000000
--- a/src/tools/vendored/serper_client.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""Serper API client for Google searches.
-
-Vendored and adapted from folder/tools/web_search.py.
-"""
-
-import os
-
-import aiohttp
-import structlog
-
-from src.tools.vendored.web_search_core import WebpageSnippet, ssl_context
-from src.utils.exceptions import RateLimitError, SearchError
-
-logger = structlog.get_logger()
-
-
-class SerperClient:
-    """A client for the Serper API to perform Google searches."""
-
-    def __init__(self, api_key: str | None = None) -> None:
-        """Initialize Serper client.
-
-        Args:
-            api_key: Serper API key. If None, reads from SERPER_API_KEY env var.
-
-        Raises:
-            ConfigurationError: If no API key is provided.
-        """
-        self.api_key = api_key or os.getenv("SERPER_API_KEY")
-        if not self.api_key:
-            from src.utils.exceptions import ConfigurationError
-
-            raise ConfigurationError(
-                "No API key provided. Set SERPER_API_KEY environment variable."
-            )
-
-        self.url = "https://google.serper.dev/search"
-        self.headers = {"X-API-KEY": self.api_key, "Content-Type": "application/json"}
-
-    async def search(
-        self, query: str, filter_for_relevance: bool = False, max_results: int = 5
-    ) -> list[WebpageSnippet]:
-        """Perform a Google search using Serper API.
-
-        Args:
-            query: The search query
-            filter_for_relevance: Whether to filter results (currently not implemented)
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of WebpageSnippet objects with search results
-
-        Raises:
-            SearchError: If the search fails
-            RateLimitError: If rate limit is exceeded
-        """
-        connector = aiohttp.TCPConnector(ssl=ssl_context)
-        try:
-            async with aiohttp.ClientSession(connector=connector) as session:
-                async with session.post(
-                    self.url, headers=self.headers, json={"q": query, "autocorrect": False}
-                ) as response:
-                    if response.status == 429:
-                        raise RateLimitError("Serper API rate limit exceeded")
-
-                    response.raise_for_status()
-                    results = await response.json()
-
-                    results_list = [
-                        WebpageSnippet(
-                            url=result.get("link", ""),
-                            title=result.get("title", ""),
-                            description=result.get("snippet", ""),
-                        )
-                        for result in results.get("organic", [])
-                    ]
-
-                    if not results_list:
-                        logger.info("No search results found", query=query)
-                        return []
-
-                    # Return results up to max_results
-                    return results_list[:max_results]
-
-        except aiohttp.ClientError as e:
-            logger.error("Serper API request failed", error=str(e), query=query)
-            raise SearchError(f"Serper API request failed: {e}") from e
-        except RateLimitError:
-            raise
-        except Exception as e:
-            logger.error("Unexpected error in Serper search", error=str(e), query=query)
-            raise SearchError(f"Serper search failed: {e}") from e
diff --git a/src/tools/vendored/web_search_core.py b/src/tools/vendored/web_search_core.py
deleted file mode 100644
index a465f3982df18728c2f4d4eebb21477bae3dbe65..0000000000000000000000000000000000000000
--- a/src/tools/vendored/web_search_core.py
+++ /dev/null
@@ -1,201 +0,0 @@
-"""Core web search utilities vendored from folder/tools/web_search.py.
-
-This module contains shared utilities for web scraping, URL processing,
-and HTML text extraction used by web search tools.
-"""
-
-import asyncio
-import ssl
-
-import aiohttp
-import structlog
-from bs4 import BeautifulSoup
-from pydantic import BaseModel, Field
-
-logger = structlog.get_logger()
-
-# Content length limit to avoid exceeding token limits
-CONTENT_LENGTH_LIMIT = 10000
-
-# Create a shared SSL context for web requests
-ssl_context = ssl.create_default_context()
-ssl_context.check_hostname = False
-ssl_context.verify_mode = ssl.CERT_NONE
-ssl_context.set_ciphers("DEFAULT:@SECLEVEL=1")  # Allow older cipher suites
-
-
-class ScrapeResult(BaseModel):
-    """Result of scraping a single webpage."""
-
-    url: str = Field(description="The URL of the webpage")
-    text: str = Field(description="The full text content of the webpage")
-    title: str = Field(description="The title of the webpage")
-    description: str = Field(description="A short description of the webpage")
-
-
-class WebpageSnippet(BaseModel):
-    """Snippet information for a webpage (before scraping)."""
-
-    url: str = Field(description="The URL of the webpage")
-    title: str = Field(description="The title of the webpage")
-    description: str | None = Field(default=None, description="A short description of the webpage")
-
-
-async def scrape_urls(items: list[WebpageSnippet]) -> list[ScrapeResult]:
-    """Fetch text content from provided URLs.
-
-    Args:
-        items: List of WebpageSnippet items to extract content from
-
-    Returns:
-        List of ScrapeResult objects with scraped content
-    """
-    connector = aiohttp.TCPConnector(ssl=ssl_context)
-    async with aiohttp.ClientSession(connector=connector) as session:
-        # Create list of tasks for concurrent execution
-        tasks = []
-        for item in items:
-            if item.url:  # Skip empty URLs
-                tasks.append(fetch_and_process_url(session, item))
-
-        # Execute all tasks concurrently and gather results
-        results = await asyncio.gather(*tasks, return_exceptions=True)
-
-        # Filter out errors and return successful results
-        successful_results: list[ScrapeResult] = []
-        for result in results:
-            if isinstance(result, ScrapeResult):
-                successful_results.append(result)
-            elif isinstance(result, Exception):
-                logger.warning("Failed to scrape URL", error=str(result))
-
-        return successful_results
-
-
-async def fetch_and_process_url(
-    session: aiohttp.ClientSession, item: WebpageSnippet
-) -> ScrapeResult:
-    """Helper function to fetch and process a single URL.
-
-    Args:
-        session: aiohttp ClientSession
-        item: WebpageSnippet with URL to fetch
-
-    Returns:
-        ScrapeResult with fetched content
-    """
-    if not is_valid_url(item.url):
-        return ScrapeResult(
-            url=item.url,
-            title=item.title,
-            description=item.description or "",
-            text="Error fetching content: URL contains restricted file extension",
-        )
-
-    try:
-        timeout = aiohttp.ClientTimeout(total=8)
-        async with session.get(item.url, timeout=timeout) as response:
-            if response.status == 200:
-                content = await response.text()
-                # Run html_to_text in a thread pool to avoid blocking
-                loop = asyncio.get_event_loop()
-                text_content = await loop.run_in_executor(None, html_to_text, content)
-                text_content = text_content[
-                    :CONTENT_LENGTH_LIMIT
-                ]  # Trim content to avoid exceeding token limit
-                return ScrapeResult(
-                    url=item.url,
-                    title=item.title,
-                    description=item.description or "",
-                    text=text_content,
-                )
-            else:
-                # Return a ScrapeResult with an error message
-                return ScrapeResult(
-                    url=item.url,
-                    title=item.title,
-                    description=item.description or "",
-                    text=f"Error fetching content: HTTP {response.status}",
-                )
-    except Exception as e:
-        logger.warning("Error fetching URL", url=item.url, error=str(e))
-        # Return a ScrapeResult with an error message
-        return ScrapeResult(
-            url=item.url,
-            title=item.title,
-            description=item.description or "",
-            text=f"Error fetching content: {e!s}",
-        )
-
-
-def html_to_text(html_content: str) -> str:
-    """Strip out unnecessary elements from HTML to prepare for text extraction.
-
-    Args:
-        html_content: Raw HTML content
-
-    Returns:
-        Extracted text from relevant HTML tags
-    """
-    # Parse the HTML using lxml for speed
-    soup = BeautifulSoup(html_content, "lxml")
-
-    # Extract text from relevant tags
-    tags_to_extract = ("h1", "h2", "h3", "h4", "h5", "h6", "p", "li", "blockquote")
-
-    # Use a generator expression for efficiency
-    extracted_text = "\n".join(
-        element.get_text(strip=True)
-        for element in soup.find_all(tags_to_extract)
-        if element.get_text(strip=True)
-    )
-
-    return extracted_text
-
-
-def is_valid_url(url: str) -> bool:
-    """Check that a URL does not contain restricted file extensions.
-
-    Args:
-        url: URL to validate
-
-    Returns:
-        True if URL is valid, False if it contains restricted extensions
-    """
-    restricted_extensions = [
-        ".pdf",
-        ".doc",
-        ".xls",
-        ".ppt",
-        ".zip",
-        ".rar",
-        ".7z",
-        ".txt",
-        ".js",
-        ".xml",
-        ".css",
-        ".png",
-        ".jpg",
-        ".jpeg",
-        ".gif",
-        ".ico",
-        ".svg",
-        ".webp",
-        ".mp3",
-        ".mp4",
-        ".avi",
-        ".mov",
-        ".wmv",
-        ".flv",
-        ".wma",
-        ".wav",
-        ".m4a",
-        ".m4v",
-        ".m4b",
-        ".m4p",
-        ".m4u",
-    ]
-
-    if any(ext in url for ext in restricted_extensions):
-        return False
-    return True
diff --git a/src/tools/web_search.py b/src/tools/web_search.py
deleted file mode 100644
index f6350e820f2edffa346fe2392828a38518ce3a00..0000000000000000000000000000000000000000
--- a/src/tools/web_search.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""Web search tool using DuckDuckGo."""
-
-import asyncio
-
-import structlog
-
-try:
-    from ddgs import DDGS  # New package name
-except ImportError:
-    # Fallback to old package name for backward compatibility
-    from duckduckgo_search import DDGS  # type: ignore[no-redef]
-
-from src.tools.query_utils import preprocess_query
-from src.utils.exceptions import SearchError
-from src.utils.models import Citation, Evidence
-
-logger = structlog.get_logger()
-
-
-class WebSearchTool:
-    """Tool for searching the web using DuckDuckGo."""
-
-    def __init__(self) -> None:
-        self._ddgs = DDGS()
-
-    @property
-    def name(self) -> str:
-        """Return the name of this search tool."""
-        return "duckduckgo"
-
-    async def search(self, query: str, max_results: int = 10) -> list[Evidence]:
-        """Execute a web search and return evidence.
-
-        Args:
-            query: The search query string
-            max_results: Maximum number of results to return
-
-        Returns:
-            List of Evidence objects
-
-        Raises:
-            SearchError: If the search fails
-        """
-        try:
-            # Preprocess query to remove noise
-            clean_query = preprocess_query(query)
-            final_query = clean_query if clean_query else query
-
-            loop = asyncio.get_running_loop()
-
-            def _do_search() -> list[dict[str, str]]:
-                # text() returns an iterator, need to list() it or iterate
-                return list(self._ddgs.text(final_query, max_results=max_results))
-
-            raw_results = await loop.run_in_executor(None, _do_search)
-
-            evidence = []
-            for r in raw_results:
-                # Truncate title to max 500 characters to match Citation model validation
-                title = r.get("title", "No Title")
-                if len(title) > 500:
-                    title = title[:497] + "..."
-
-                ev = Evidence(
-                    content=r.get("body", ""),
-                    citation=Citation(
-                        title=title,
-                        url=r.get("href", ""),
-                        source="web",
-                        date="Unknown",
-                        authors=[],
-                    ),
-                    relevance=0.0,
-                )
-                evidence.append(ev)
-
-            return evidence
-
-        except Exception as e:
-            logger.error("Web search failed", error=str(e), query=query)
-            raise SearchError(f"DuckDuckGo search failed: {e}") from e
diff --git a/src/tools/web_search_adapter.py b/src/tools/web_search_adapter.py
deleted file mode 100644
index 6ee833f2fdda510bd99d3311b923a248b55fa963..0000000000000000000000000000000000000000
--- a/src/tools/web_search_adapter.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""Web search tool adapter for Pydantic AI agents.
-
-Uses the new web search factory to provide web search functionality.
-"""
-
-import structlog
-
-from src.tools.web_search_factory import create_web_search_tool
-
-logger = structlog.get_logger()
-
-
-async def web_search(query: str) -> str:
-    """
-    Perform a web search for a given query and return formatted results.
-
-    Use this tool to search the web for information relevant to the query.
-    Provide a query with 3-6 words as input.
-
-    Args:
-        query: The search query (3-6 words recommended)
-
-    Returns:
-        Formatted string with search results including titles, descriptions, and URLs
-    """
-    try:
-        # Get web search tool from factory
-        tool = create_web_search_tool()
-
-        if tool is None:
-            logger.warning("Web search tool not available", hint="Check configuration")
-            return "Web search tool not available. Please configure a web search provider."
-
-        # Call the tool - it returns list[Evidence]
-        evidence = await tool.search(query, max_results=5)
-
-        if not evidence:
-            return f"No web search results found for: {query}"
-
-        # Format results for agent consumption
-        formatted = [f"Found {len(evidence)} web search results:\n"]
-        for i, ev in enumerate(evidence, 1):
-            citation = ev.citation
-            formatted.append(f"{i}. **{citation.title}**")
-            if citation.url:
-                formatted.append(f"   URL: {citation.url}")
-            if ev.content:
-                formatted.append(f"   Content: {ev.content[:300]}...")
-            formatted.append("")
-
-        return "\n".join(formatted)
-
-    except Exception as e:
-        logger.error("Web search failed", error=str(e), query=query)
-        return f"Error performing web search: {e!s}"
diff --git a/src/tools/web_search_factory.py b/src/tools/web_search_factory.py
deleted file mode 100644
index 213de5dee400aaa5072785dc8d29088745dd601c..0000000000000000000000000000000000000000
--- a/src/tools/web_search_factory.py
+++ /dev/null
@@ -1,115 +0,0 @@
-"""Factory for creating web search tools based on configuration."""
-
-import structlog
-
-from src.tools.base import SearchTool
-from src.tools.searchxng_web_search import SearchXNGWebSearchTool
-from src.tools.serper_web_search import SerperWebSearchTool
-from src.tools.web_search import WebSearchTool
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-
-def create_web_search_tool(provider: str | None = None) -> SearchTool | None:
-    """Create a web search tool based on configuration.
-
-    Args:
-        provider: Override provider selection. If None, uses settings.web_search_provider.
-
-    Returns:
-        SearchTool instance, or None if not available/configured
-
-    The tool is selected based on provider (or settings.web_search_provider if None):
-    - "serper": SerperWebSearchTool (requires SERPER_API_KEY)
-    - "searchxng": SearchXNGWebSearchTool (requires SEARCHXNG_HOST)
-    - "duckduckgo": WebSearchTool (always available, no API key)
-    - "brave" or "tavily": Not yet implemented, returns None
-    - "auto": Auto-detect best available provider (prefers Serper > SearchXNG > DuckDuckGo)
-
-    Auto-detection logic (when provider is "auto" or not explicitly set):
-    1. Try Serper if SERPER_API_KEY is available (best quality - Google search + full content scraping)
-    2. Try SearchXNG if SEARCHXNG_HOST is available
-    3. Fall back to DuckDuckGo (always available, but lower quality - snippets only)
-    """
-    provider = provider or settings.web_search_provider
-
-    # Auto-detect best available provider if "auto" or if provider is duckduckgo but better options exist
-    if provider == "auto" or (provider == "duckduckgo" and settings.serper_api_key):
-        # Prefer Serper if API key is available (better quality)
-        if settings.serper_api_key:
-            try:
-                logger.info(
-                    "Auto-detected Serper web search (SERPER_API_KEY found)",
-                    provider="serper",
-                )
-                return SerperWebSearchTool()
-            except Exception as e:
-                logger.warning(
-                    "Failed to initialize Serper, falling back",
-                    error=str(e),
-                )
-
-        # Try SearchXNG as second choice
-        if settings.searchxng_host:
-            try:
-                logger.info(
-                    "Auto-detected SearchXNG web search (SEARCHXNG_HOST found)",
-                    provider="searchxng",
-                )
-                return SearchXNGWebSearchTool()
-            except Exception as e:
-                logger.warning(
-                    "Failed to initialize SearchXNG, falling back",
-                    error=str(e),
-                )
-
-        # Fall back to DuckDuckGo
-        if provider == "auto":
-            logger.info(
-                "Auto-detected DuckDuckGo web search (no API keys found)",
-                provider="duckduckgo",
-            )
-        return WebSearchTool()
-
-    try:
-        if provider == "serper":
-            if not settings.serper_api_key:
-                logger.warning(
-                    "Serper provider selected but no API key found",
-                    hint="Set SERPER_API_KEY environment variable",
-                )
-                return None
-            return SerperWebSearchTool()
-
-        elif provider == "searchxng":
-            if not settings.searchxng_host:
-                logger.warning(
-                    "SearchXNG provider selected but no host found",
-                    hint="Set SEARCHXNG_HOST environment variable",
-                )
-                return None
-            return SearchXNGWebSearchTool()
-
-        elif provider == "duckduckgo":
-            # DuckDuckGo is always available (no API key required)
-            return WebSearchTool()
-
-        elif provider in ("brave", "tavily"):
-            logger.warning(
-                f"Web search provider '{provider}' not yet implemented",
-                hint="Use 'serper', 'searchxng', or 'duckduckgo'",
-            )
-            return None
-
-        else:
-            logger.warning(f"Unknown web search provider '{provider}', falling back to DuckDuckGo")
-            return WebSearchTool()
-
-    except ConfigurationError as e:
-        logger.error("Failed to create web search tool", error=str(e), provider=provider)
-        return None
-    except Exception as e:
-        logger.error("Unexpected error creating web search tool", error=str(e), provider=provider)
-        return None
diff --git a/src/agent_factory/__init__.py b/src/tools/websearch.py
similarity index 100%
rename from src/agent_factory/__init__.py
rename to src/tools/websearch.py
diff --git a/src/utils/__init__.py b/src/utils/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/src/utils/citation_validator.py b/src/utils/citation_validator.py
deleted file mode 100644
index c124c1a529ad46449c5182576a0e58a54e22381c..0000000000000000000000000000000000000000
--- a/src/utils/citation_validator.py
+++ /dev/null
@@ -1,178 +0,0 @@
-"""Citation validation to prevent LLM hallucination.
-
-CRITICAL: Medical research requires accurate citations.
-This module validates that all references exist in collected evidence.
-"""
-
-import logging
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from src.utils.models import Evidence, ResearchReport
-
-logger = logging.getLogger(__name__)
-
-# Max characters to display for URLs in log messages
-_MAX_URL_DISPLAY_LENGTH = 80
-
-
-def validate_references(report: "ResearchReport", evidence: list["Evidence"]) -> "ResearchReport":
-    """Ensure all references actually exist in collected evidence.
-
-    CRITICAL: Prevents LLM hallucination of citations.
-
-    Note:
-        This function MUTATES report.references in-place and returns the same
-        report object. This is intentional for efficiency.
-
-    Args:
-        report: The generated research report (will be mutated)
-        evidence: All evidence collected during research
-
-    Returns:
-        The same report object with references updated in-place
-    """
-    # Build set of valid URLs from evidence
-    valid_urls = {e.citation.url for e in evidence}
-    # Also check titles (case-insensitive, exact match) as fallback
-    valid_titles = {e.citation.title.lower() for e in evidence}
-
-    validated_refs = []
-    removed_count = 0
-
-    for ref in report.references:
-        ref_url = ref.get("url", "")
-        ref_title = ref.get("title", "").lower()
-
-        # Check if URL matches collected evidence
-        if ref_url in valid_urls:
-            validated_refs.append(ref)
-        # Fallback: exact title match (case-insensitive)
-        elif ref_title and ref_title in valid_titles:
-            validated_refs.append(ref)
-        else:
-            removed_count += 1
-            # Truncate URL for display
-            if len(ref_url) > _MAX_URL_DISPLAY_LENGTH:
-                url_display = ref_url[:_MAX_URL_DISPLAY_LENGTH] + "..."
-            else:
-                url_display = ref_url
-            logger.warning(
-                f"Removed hallucinated reference: '{ref.get('title', 'Unknown')}' "
-                f"(URL: {url_display})"
-            )
-
-    if removed_count > 0:
-        logger.info(
-            f"Citation validation removed {removed_count} hallucinated references. "
-            f"{len(validated_refs)} valid references remain."
-        )
-
-    # Update report with validated references
-    report.references = validated_refs
-    return report
-
-
-def build_reference_from_evidence(evidence: "Evidence") -> dict[str, str]:
-    """Build a properly formatted reference from evidence.
-
-    Use this to ensure references match the original evidence exactly.
-    """
-    return {
-        "title": evidence.citation.title,
-        "authors": ", ".join(evidence.citation.authors or ["Unknown"]),
-        "source": evidence.citation.source,
-        "date": evidence.citation.date or "n.d.",
-        "url": evidence.citation.url,
-    }
-
-
-def validate_markdown_citations(
-    markdown_report: str, evidence: list["Evidence"]
-) -> tuple[str, int]:
-    """Validate citations in a markdown report against collected evidence.
-
-    This function validates citations in markdown format (e.g., [1], [2]) by:
-    1. Extracting URLs from the references section
-    2. Matching them against Evidence objects
-    3. Removing invalid citations from the report
-
-    Note:
-        This is a basic validation. For full validation, use ResearchReport
-        objects with validate_references().
-
-    Args:
-        markdown_report: The markdown report string with citations
-        evidence: List of Evidence objects collected during research
-
-    Returns:
-        Tuple of (validated_markdown, removed_count)
-    """
-    import re
-
-    # Build set of valid URLs from evidence
-    valid_urls = {e.citation.url for e in evidence}
-    valid_urls_lower = {url.lower() for url in valid_urls}
-
-    # Extract references section (everything after "## References" or "References:")
-    ref_section_pattern = r"(?i)(?:##\s*)?References:?\s*\n(.*?)(?=\n##|\Z)"
-    ref_match = re.search(ref_section_pattern, markdown_report, re.DOTALL)
-
-    if not ref_match:
-        # No references section found, return as-is
-        return markdown_report, 0
-
-    ref_section = ref_match.group(1)
-    ref_lines = ref_section.strip().split("\n")
-
-    # Parse references: [1] https://example.com or [1] https://example.com Title
-    valid_refs = []
-    removed_count = 0
-
-    for ref_line in ref_lines:
-        stripped_line = ref_line.strip()
-        if not stripped_line:
-            continue
-
-        # Extract URL from reference line
-        # Pattern: [N] URL or [N] URL Title
-        url_match = re.search(r"https?://[^\s\)]+", stripped_line)
-        if url_match:
-            url = url_match.group(0).rstrip(".,;")
-            url_lower = url.lower()
-
-            # Check if URL is valid
-            if url in valid_urls or url_lower in valid_urls_lower:
-                valid_refs.append(stripped_line)
-            else:
-                removed_count += 1
-                logger.warning(
-                    f"Removed invalid citation from markdown: {url[:80]}"
-                    + ("..." if len(url) > 80 else "")
-                )
-        else:
-            # No URL found, keep the line (might be formatted differently)
-            valid_refs.append(stripped_line)
-
-    # Rebuild references section
-    if valid_refs:
-        new_ref_section = "\n".join(valid_refs)
-        # Replace the old references section
-        validated_markdown = (
-            markdown_report[: ref_match.start(1)]
-            + new_ref_section
-            + markdown_report[ref_match.end(1) :]
-        )
-    else:
-        # No valid references, remove the entire section
-        validated_markdown = (
-            markdown_report[: ref_match.start()] + markdown_report[ref_match.end() :]
-        )
-
-    if removed_count > 0:
-        logger.info(
-            f"Citation validation removed {removed_count} invalid citations from markdown report. "
-            f"{len(valid_refs)} valid citations remain."
-        )
-
-    return validated_markdown, removed_count
diff --git a/src/utils/config.py b/src/utils/config.py
deleted file mode 100644
index 9d4356d7b5afd35c6e782c870708cf12bdaae657..0000000000000000000000000000000000000000
--- a/src/utils/config.py
+++ /dev/null
@@ -1,329 +0,0 @@
-"""Application configuration using Pydantic Settings."""
-
-import logging
-from typing import Literal
-
-import structlog
-from pydantic import Field
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-from src.utils.exceptions import ConfigurationError
-
-
-class Settings(BaseSettings):
-    """Strongly-typed application settings."""
-
-    model_config = SettingsConfigDict(
-        env_file=".env",
-        env_file_encoding="utf-8",
-        case_sensitive=False,
-        extra="ignore",
-    )
-
-    # LLM Configuration
-    openai_api_key: str | None = Field(default=None, description="OpenAI API key")
-    anthropic_api_key: str | None = Field(default=None, description="Anthropic API key")
-    llm_provider: Literal["openai", "anthropic", "huggingface"] = Field(
-        default="huggingface", description="Which LLM provider to use"
-    )
-    openai_model: str = Field(default="gpt-5.1", description="OpenAI model name")
-    anthropic_model: str = Field(
-        default="claude-sonnet-4-5-20250929", description="Anthropic model"
-    )
-    hf_token: str | None = Field(
-        default=None, alias="HF_TOKEN", description="HuggingFace API token"
-    )
-
-    # Embedding Configuration
-    # Note: OpenAI embeddings require OPENAI_API_KEY (Anthropic has no embeddings API)
-    openai_embedding_model: str = Field(
-        default="text-embedding-3-small",
-        description="OpenAI embedding model (used by LlamaIndex RAG)",
-    )
-    local_embedding_model: str = Field(
-        default="all-MiniLM-L6-v2",
-        description="Local sentence-transformers model (used by EmbeddingService)",
-    )
-    embedding_provider: Literal["openai", "local", "huggingface"] = Field(
-        default="local",
-        description="Embedding provider to use",
-    )
-    huggingface_embedding_model: str = Field(
-        default="sentence-transformers/all-MiniLM-L6-v2",
-        description="HuggingFace embedding model ID",
-    )
-
-    # HuggingFace Configuration
-    huggingface_api_key: str | None = Field(
-        default=None, description="HuggingFace API token (HF_TOKEN or HUGGINGFACE_API_KEY)"
-    )
-    huggingface_model: str = Field(
-        default="meta-llama/Llama-3.1-8B-Instruct",
-        description="Default HuggingFace model ID for inference",
-    )
-    hf_fallback_models: str = Field(
-        default="Qwen/Qwen3-Next-80B-A3B-Thinking,Qwen/Qwen3-Next-80B-A3B-Instruct,meta-llama/Llama-3.3-70B-Instruct,meta-llama/Llama-3.1-8B-Instruct,HuggingFaceH4/zephyr-7b-beta,Qwen/Qwen2-7B-Instruct",
-        alias="HF_FALLBACK_MODELS",
-        description=(
-            "Comma-separated list of fallback models for provider discovery and error recovery. "
-            "Reads from HF_FALLBACK_MODELS environment variable. "
-            "Default value is used only if the environment variable is not set."
-        ),
-    )
-
-    # PubMed Configuration
-    ncbi_api_key: str | None = Field(
-        default=None, description="NCBI API key for higher rate limits"
-    )
-
-    # Web Search Configuration
-    web_search_provider: Literal["serper", "searchxng", "brave", "tavily", "duckduckgo", "auto"] = (
-        Field(
-            default="auto",
-            description="Web search provider to use. 'auto' will auto-detect best available (prefers Serper > SearchXNG > DuckDuckGo)",
-        )
-    )
-    serper_api_key: str | None = Field(default=None, description="Serper API key for Google search")
-    searchxng_host: str | None = Field(default=None, description="SearchXNG host URL")
-    brave_api_key: str | None = Field(default=None, description="Brave Search API key")
-    tavily_api_key: str | None = Field(default=None, description="Tavily API key")
-
-    # Agent Configuration
-    max_iterations: int = Field(default=10, ge=1, le=50)
-    search_timeout: int = Field(default=30, description="Seconds to wait for search")
-    use_graph_execution: bool = Field(
-        default=False, description="Use graph-based execution for research flows"
-    )
-
-    # Budget & Rate Limiting Configuration
-    default_token_limit: int = Field(
-        default=100000,
-        ge=1000,
-        le=1000000,
-        description="Default token budget per research loop",
-    )
-    default_time_limit_minutes: int = Field(
-        default=10,
-        ge=1,
-        le=120,
-        description="Default time limit per research loop (minutes)",
-    )
-    default_iterations_limit: int = Field(
-        default=10,
-        ge=1,
-        le=50,
-        description="Default iterations limit per research loop",
-    )
-
-    # Logging
-    log_level: Literal["DEBUG", "INFO", "WARNING", "ERROR"] = "INFO"
-
-    # External Services
-    modal_token_id: str | None = Field(default=None, description="Modal token ID")
-    modal_token_secret: str | None = Field(default=None, description="Modal token secret")
-    chroma_db_path: str = Field(default="./chroma_db", description="ChromaDB storage path")
-    chroma_db_persist: bool = Field(
-        default=True,
-        description="Whether to persist ChromaDB to disk",
-    )
-    chroma_db_host: str | None = Field(
-        default=None,
-        description="ChromaDB server host (for remote ChromaDB)",
-    )
-    chroma_db_port: int | None = Field(
-        default=None,
-        description="ChromaDB server port (for remote ChromaDB)",
-    )
-
-    # RAG Service Configuration
-    rag_collection_name: str = Field(
-        default="deepcritical_evidence",
-        description="ChromaDB collection name for RAG",
-    )
-    rag_similarity_top_k: int = Field(
-        default=5,
-        ge=1,
-        le=50,
-        description="Number of top results to retrieve from RAG",
-    )
-    rag_auto_ingest: bool = Field(
-        default=True,
-        description="Automatically ingest evidence into RAG",
-    )
-
-    # Audio/TTS Configuration
-    enable_audio_input: bool = Field(
-        default=True,
-        description="Enable audio input (speech-to-text) in multimodal interface",
-    )
-    enable_audio_output: bool = Field(
-        default=True,
-        description="Enable audio output (text-to-speech) for responses",
-    )
-    enable_image_input: bool = Field(
-        default=True,
-        description="Enable image input (OCR) in multimodal interface",
-    )
-    tts_voice: str = Field(
-        default="af_heart",
-        description="TTS voice ID for Kokoro TTS (e.g., af_heart, am_michael)",
-    )
-    tts_speed: float = Field(
-        default=1.0,
-        ge=0.5,
-        le=2.0,
-        description="TTS speech speed multiplier (0.5x to 2.0x)",
-    )
-    tts_use_llm_polish: bool = Field(
-        default=False,
-        description="Use LLM for final text polish before TTS (optional, costs API calls)",
-    )
-    tts_gpu: str | None = Field(
-        default=None,
-        description="Modal GPU type for TTS (T4, A10, A100, L4, L40S). None uses default T4.",
-    )
-
-    # STT (Speech-to-Text) Configuration
-    stt_api_url: str | None = Field(
-        default="https://nvidia-canary-1b-v2.hf.space",
-        description="Gradio Space URL for STT service (default: nvidia/canary-1b-v2)",
-    )
-    stt_source_lang: str = Field(
-        default="English",
-        description="Source language for STT (full name like 'English', 'Spanish', etc.)",
-    )
-    stt_target_lang: str = Field(
-        default="English",
-        description="Target language for STT (full name like 'English', 'Spanish', etc.)",
-    )
-
-    # Image OCR Configuration
-    ocr_api_url: str | None = Field(
-        default="https://prithivmlmods-multimodal-ocr3.hf.space",
-        description="Gradio Space URL for OCR service (default: prithivMLmods/Multimodal-OCR3)",
-    )
-
-    # Report File Output Configuration
-    save_reports_to_file: bool = Field(
-        default=True,
-        description="Save generated reports to files (enables file downloads in Gradio)",
-    )
-    report_output_directory: str | None = Field(
-        default=None,
-        description="Directory to save report files. If None, uses system temp directory.",
-    )
-    report_file_format: Literal["md", "md_html", "md_pdf"] = Field(
-        default="md",
-        description="File format(s) to save reports in. 'md' saves only markdown, others save multiple formats.",
-    )
-    report_filename_template: str = Field(
-        default="report_{timestamp}_{query_hash}.md",
-        description="Template for report filenames. Supports {timestamp}, {query_hash}, {date} placeholders.",
-    )
-
-    @property
-    def modal_available(self) -> bool:
-        """Check if Modal credentials are configured."""
-        return bool(self.modal_token_id and self.modal_token_secret)
-
-    def get_api_key(self) -> str:
-        """Get the API key for the configured provider."""
-        if self.llm_provider == "openai":
-            if not self.openai_api_key:
-                raise ConfigurationError("OPENAI_API_KEY not set")
-            return self.openai_api_key
-
-        if self.llm_provider == "anthropic":
-            if not self.anthropic_api_key:
-                raise ConfigurationError("ANTHROPIC_API_KEY not set")
-            return self.anthropic_api_key
-
-        raise ConfigurationError(f"Unknown LLM provider: {self.llm_provider}")
-
-    def get_openai_api_key(self) -> str:
-        """Get OpenAI API key (required for Magentic function calling)."""
-        if not self.openai_api_key:
-            raise ConfigurationError(
-                "OPENAI_API_KEY not set. Magentic mode requires OpenAI for function calling. "
-                "Use mode='simple' for other providers."
-            )
-        return self.openai_api_key
-
-    @property
-    def has_openai_key(self) -> bool:
-        """Check if OpenAI API key is available."""
-        return bool(self.openai_api_key)
-
-    @property
-    def has_anthropic_key(self) -> bool:
-        """Check if Anthropic API key is available."""
-        return bool(self.anthropic_api_key)
-
-    @property
-    def has_huggingface_key(self) -> bool:
-        """Check if HuggingFace API key is available."""
-        return bool(self.huggingface_api_key or self.hf_token)
-
-    @property
-    def has_any_llm_key(self) -> bool:
-        """Check if any LLM API key is available."""
-        return self.has_openai_key or self.has_anthropic_key or self.has_huggingface_key
-
-    @property
-    def web_search_available(self) -> bool:
-        """Check if web search is available (either no-key provider or API key present)."""
-        if self.web_search_provider == "duckduckgo":
-            return True  # No API key required
-        if self.web_search_provider == "serper":
-            return bool(self.serper_api_key)
-        if self.web_search_provider == "searchxng":
-            return bool(self.searchxng_host)
-        if self.web_search_provider == "brave":
-            return bool(self.brave_api_key)
-        if self.web_search_provider == "tavily":
-            return bool(self.tavily_api_key)
-        return False
-
-    def get_hf_fallback_models_list(self) -> list[str]:
-        """Get the list of fallback models as a list.
-
-        Parses the comma-separated HF_FALLBACK_MODELS string into a list,
-        stripping whitespace from each model ID.
-
-        Returns:
-            List of model IDs
-        """
-        if not self.hf_fallback_models:
-            return []
-        return [model.strip() for model in self.hf_fallback_models.split(",") if model.strip()]
-
-
-def get_settings() -> Settings:
-    """Factory function to get settings (allows mocking in tests)."""
-    return Settings()
-
-
-def configure_logging(settings: Settings) -> None:
-    """Configure structured logging with the configured log level."""
-    # Set stdlib logging level from settings
-    logging.basicConfig(
-        level=getattr(logging, settings.log_level),
-        format="%(message)s",
-    )
-
-    structlog.configure(
-        processors=[
-            structlog.stdlib.filter_by_level,
-            structlog.stdlib.add_logger_name,
-            structlog.stdlib.add_log_level,
-            structlog.processors.TimeStamper(fmt="iso"),
-            structlog.processors.JSONRenderer(),
-        ],
-        wrapper_class=structlog.stdlib.BoundLogger,
-        context_class=dict,
-        logger_factory=structlog.stdlib.LoggerFactory(),
-    )
-
-
-# Singleton for easy import
-settings = get_settings()
diff --git a/src/utils/exceptions.py b/src/utils/exceptions.py
deleted file mode 100644
index abedf1baf49f3f88f01b2451a81c71c221b0caac..0000000000000000000000000000000000000000
--- a/src/utils/exceptions.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""Custom exceptions for The DETERMINATOR."""
-
-
-class DeepCriticalError(Exception):
-    """Base exception for all DETERMINATOR errors.
-
-    Note: Class name kept for backward compatibility.
-    """
-
-    pass
-
-
-class SearchError(DeepCriticalError):
-    """Raised when a search operation fails."""
-
-    pass
-
-
-class JudgeError(DeepCriticalError):
-    """Raised when the judge fails to assess evidence."""
-
-    pass
-
-
-class ConfigurationError(DeepCriticalError):
-    """Raised when configuration is invalid."""
-
-    pass
-
-
-class RateLimitError(SearchError):
-    """Raised when we hit API rate limits."""
-
-    pass
diff --git a/src/utils/hf_error_handler.py b/src/utils/hf_error_handler.py
deleted file mode 100644
index becc6862275260ef63249fee69fc7225468dec30..0000000000000000000000000000000000000000
--- a/src/utils/hf_error_handler.py
+++ /dev/null
@@ -1,199 +0,0 @@
-"""Utility functions for handling HuggingFace API errors and token validation."""
-
-import re
-from typing import Any
-
-import structlog
-
-logger = structlog.get_logger()
-
-
-def extract_error_details(error: Exception) -> dict[str, Any]:
-    """Extract error details from HuggingFace API errors.
-
-    Pydantic AI and HuggingFace Inference API errors often contain
-    information in the error message string like:
-    "status_code: 403, model_name: Qwen/Qwen3-Next-80B-A3B-Thinking, body: Forbidden"
-
-    Args:
-        error: The exception object
-
-    Returns:
-        Dictionary with extracted error details:
-        - status_code: HTTP status code (if found)
-        - model_name: Model name (if found)
-        - body: Error body/message (if found)
-        - error_type: Type of error (403, 422, etc.)
-        - is_auth_error: Whether this is an authentication/authorization error
-        - is_model_error: Whether this is a model-specific error
-    """
-    error_str = str(error)
-    details: dict[str, Any] = {
-        "status_code": None,
-        "model_name": None,
-        "body": None,
-        "error_type": "unknown",
-        "is_auth_error": False,
-        "is_model_error": False,
-    }
-
-    # Try to extract status_code
-    status_match = re.search(r"status_code:\s*(\d+)", error_str)
-    if status_match:
-        details["status_code"] = int(status_match.group(1))
-        details["error_type"] = f"http_{details['status_code']}"
-
-        # Determine error category
-        if details["status_code"] == 403:
-            details["is_auth_error"] = True
-        elif details["status_code"] == 422:
-            details["is_model_error"] = True
-
-    # Try to extract model_name
-    model_match = re.search(r"model_name:\s*([^\s,]+)", error_str)
-    if model_match:
-        details["model_name"] = model_match.group(1)
-
-    # Try to extract body
-    body_match = re.search(r"body:\s*(.+)", error_str)
-    if body_match:
-        details["body"] = body_match.group(1).strip()
-
-    return details
-
-
-def get_user_friendly_error_message(error: Exception, model_name: str | None = None) -> str:
-    """Generate a user-friendly error message from an exception.
-
-    Args:
-        error: The exception object
-        model_name: Optional model name for context
-
-    Returns:
-        User-friendly error message
-    """
-    details = extract_error_details(error)
-
-    if details["is_auth_error"]:
-        return (
-            "🔐 **Authentication Error**\n\n"
-            "Your HuggingFace token doesn't have permission to access this model or API.\n\n"
-            "**Possible solutions:**\n"
-            "1. **Re-authenticate**: Log out and log back in to ensure your token has the `inference-api` scope\n"
-            "2. **Check model access**: Visit the model page on HuggingFace and request access if it's gated\n"
-            "3. **Use alternative model**: Try a different model that's publicly available\n\n"
-            f"**Model attempted**: {details['model_name'] or model_name or 'Unknown'}\n"
-            f"**Error**: {details['body'] or str(error)}"
-        )
-
-    if details["is_model_error"]:
-        return (
-            "⚠️ **Model Compatibility Error**\n\n"
-            "The selected model is not compatible with the current provider or has specific requirements.\n\n"
-            "**Possible solutions:**\n"
-            "1. **Try a different model**: Use a model that's compatible with the current provider\n"
-            "2. **Check provider status**: The provider may be in staging mode or unavailable\n"
-            "3. **Wait and retry**: If the model is in staging, it may become available later\n\n"
-            f"**Model attempted**: {details['model_name'] or model_name or 'Unknown'}\n"
-            f"**Error**: {details['body'] or str(error)}"
-        )
-
-    # Generic error
-    return (
-        "❌ **API Error**\n\n"
-        f"An error occurred while calling the HuggingFace API:\n\n"
-        f"**Error**: {error!s}\n\n"
-        "Please try again or contact support if the issue persists."
-    )
-
-
-def validate_hf_token(token: str | None) -> tuple[bool, str | None]:
-    """Validate HuggingFace token format.
-
-    Args:
-        token: The token to validate
-
-    Returns:
-        Tuple of (is_valid, error_message)
-        - is_valid: True if token appears valid
-        - error_message: Error message if invalid, None if valid
-    """
-    if not token:
-        return False, "Token is None or empty"
-
-    if not isinstance(token, str):
-        return False, f"Token is not a string (type: {type(token).__name__})"
-
-    if len(token) < 10:
-        return False, "Token appears too short (minimum 10 characters expected)"
-
-    # HuggingFace tokens typically start with "hf_" for user tokens
-    # OAuth tokens may have different formats, so we're lenient
-    # Just check it's not obviously invalid
-
-    return True, None
-
-
-def log_token_info(token: str | None, context: str = "") -> None:
-    """Log token information for debugging (without exposing the actual token).
-
-    Args:
-        token: The token to log info about
-        context: Additional context for the log message
-    """
-    if token:
-        is_valid, error_msg = validate_hf_token(token)
-        logger.debug(
-            "Token validation",
-            context=context,
-            has_token=True,
-            is_valid=is_valid,
-            token_length=len(token),
-            token_prefix=token[:4] + "..." if len(token) > 4 else "***",
-            validation_error=error_msg,
-        )
-    else:
-        logger.debug("Token validation", context=context, has_token=False)
-
-
-def should_retry_with_fallback(error: Exception) -> bool:
-    """Determine if an error should trigger a fallback to alternative models.
-
-    Args:
-        error: The exception object
-
-    Returns:
-        True if the error suggests we should try a fallback model
-    """
-    details = extract_error_details(error)
-
-    # Retry with fallback for:
-    # - 403 errors (authentication/permission issues - might work with different model)
-    # - 422 errors (model/provider compatibility - definitely try different model)
-    # - Model-specific errors
-    return (
-        details["is_auth_error"] or details["is_model_error"] or details["model_name"] is not None
-    )
-
-
-def get_fallback_models(original_model: str | None = None) -> list[str]:
-    """Get a list of fallback models to try.
-
-    Args:
-        original_model: The original model that failed
-
-    Returns:
-        List of fallback model names to try in order
-    """
-    # Publicly available models that should work with most tokens
-    fallbacks = [
-        "meta-llama/Llama-3.1-8B-Instruct",  # Common, often available
-        "mistralai/Mistral-7B-Instruct-v0.3",  # Alternative
-        "HuggingFaceH4/zephyr-7b-beta",  # Ungated fallback
-    ]
-
-    # If original model is in the list, remove it
-    if original_model and original_model in fallbacks:
-        fallbacks.remove(original_model)
-
-    return fallbacks
diff --git a/src/utils/hf_model_validator.py b/src/utils/hf_model_validator.py
deleted file mode 100644
index e7dd75eea282b66fc655d4fb33fe1a884af397f7..0000000000000000000000000000000000000000
--- a/src/utils/hf_model_validator.py
+++ /dev/null
@@ -1,477 +0,0 @@
-"""Validator for querying available HuggingFace models and providers using OAuth token.
-
-This module provides functions to:
-1. Query available models from HuggingFace Hub
-2. Query available inference providers (with dynamic discovery)
-3. Validate model/provider combinations
-4. Return formatted lists for Gradio dropdowns
-
-Uses Hugging Face Hub API to discover providers dynamically by querying model
-information. Falls back to known providers list if discovery fails.
-"""
-
-import asyncio
-from time import time
-from typing import Any
-
-import structlog
-from huggingface_hub import HfApi
-
-from src.utils.config import settings
-
-logger = structlog.get_logger()
-
-
-def extract_oauth_token(oauth_token: Any) -> str | None:
-    """Extract OAuth token value from Gradio OAuthToken object.
-
-    Handles both gr.OAuthToken objects (with .token attribute) and plain strings.
-    This is a convenience function for Gradio apps that use OAuth authentication.
-
-    Args:
-        oauth_token: Gradio OAuthToken object or string token
-
-    Returns:
-        Token string if available, None otherwise
-    """
-    if oauth_token is None:
-        return None
-
-    if hasattr(oauth_token, "token"):
-        return oauth_token.token  # type: ignore[no-any-return]
-    elif isinstance(oauth_token, str):
-        return oauth_token
-
-    logger.warning(
-        "Could not extract token from OAuthToken object",
-        oauth_token_type=type(oauth_token).__name__,
-    )
-    return None
-
-
-# Known providers as fallback (updated from Hugging Face documentation)
-# These are used when dynamic discovery fails or times out
-KNOWN_PROVIDERS = [
-    "auto",  # Auto-select (always available)
-    "hf-inference",  # HuggingFace's own Inference API
-    "nebius",
-    "together",
-    "scaleway",
-    "hyperbolic",
-    "novita",
-    "nscale",
-    "sambanova",
-    "ovh",
-    "fireworks-ai",  # Note: API uses "fireworks-ai", not "fireworks"
-    "cerebras",
-    "fal-ai",
-    "cohere",
-]
-
-
-def get_provider_discovery_models() -> list[str]:
-    """Get list of models to use for provider discovery.
-
-    Reads from HF_FALLBACK_MODELS environment variable via settings.
-    The environment variable should be a comma-separated list of model IDs.
-
-    Returns:
-        List of model IDs to query for provider discovery
-    """
-    # Get models from HF_FALLBACK_MODELS environment variable
-    # This is automatically read by Pydantic Settings from the env var
-    fallback_models = settings.get_hf_fallback_models_list()
-
-    logger.debug(
-        "Using HF_FALLBACK_MODELS for provider discovery",
-        count=len(fallback_models),
-        models=fallback_models,
-    )
-
-    return fallback_models
-
-
-# Simple in-memory cache for provider lists (TTL: 1 hour)
-_provider_cache: dict[str, tuple[list[str], float]] = {}
-PROVIDER_CACHE_TTL = 3600  # 1 hour in seconds
-
-
-async def get_available_providers(token: str | None = None) -> list[str]:
-    """Get list of available inference providers.
-
-    Discovers providers dynamically by querying model information from HuggingFace Hub.
-    Uses caching to avoid repeated API calls. Falls back to known providers if discovery fails.
-
-    Strategy:
-    1. Check cache (if valid, return cached list)
-    2. Query popular models to extract unique providers from their inferenceProviderMapping
-    3. Fall back to known providers list if discovery fails
-    4. Cache results for future use
-
-    Args:
-        token: Optional HuggingFace API token for authenticated requests
-               Can be extracted from gr.OAuthToken.token in Gradio apps
-
-    Returns:
-        List of provider names sorted alphabetically, with "auto" first
-        (e.g., ["auto", "fireworks-ai", "hf-inference", "nebius", ...])
-    """
-    # Check cache first
-    cache_key = "providers" + (f"_{token[:8]}" if token else "_no_token")
-    if cache_key in _provider_cache:
-        cached_providers, cache_time = _provider_cache[cache_key]
-        if time() - cache_time < PROVIDER_CACHE_TTL:
-            logger.debug("Returning cached providers", count=len(cached_providers))
-            return cached_providers
-
-    try:
-        providers = set(["auto"])  # Always include "auto"
-
-        # Try dynamic discovery by querying popular models
-        loop = asyncio.get_running_loop()
-        api = HfApi(token=token)
-
-        # Get models to query from HF_FALLBACK_MODELS environment variable via settings
-        discovery_models = get_provider_discovery_models()
-
-        # Query a sample of popular models to discover providers
-        # This is more efficient than querying all models
-        discovery_count = 0
-        for model_id in discovery_models:
-            try:
-
-                def _get_model_info(m: str) -> Any:
-                    """Get model info synchronously."""
-                    return api.model_info(m, expand=["inferenceProviderMapping"])  # type: ignore[arg-type]
-
-                info = await loop.run_in_executor(None, _get_model_info, model_id)
-
-                # Extract providers from inference_provider_mapping
-                if hasattr(info, "inference_provider_mapping") and info.inference_provider_mapping:
-                    mapping = info.inference_provider_mapping
-                    # mapping is a dict like {'hf-inference': InferenceProviderMapping(...), ...}
-                    providers.update(mapping.keys())
-                    discovery_count += 1
-                    logger.debug(
-                        "Discovered providers from model",
-                        model=model_id,
-                        providers=list(mapping.keys()),
-                    )
-            except Exception as e:
-                logger.debug(
-                    "Could not get provider info for model",
-                    model=model_id,
-                    error=str(e),
-                )
-                continue
-
-        # If we discovered providers, use them; otherwise fall back to known providers
-        if len(providers) > 1:  # More than just "auto"
-            provider_list = sorted(list(providers))
-            logger.info(
-                "Discovered providers dynamically",
-                count=len(provider_list),
-                models_queried=discovery_count,
-                has_token=bool(token),
-            )
-        else:
-            # Fallback to known providers
-            provider_list = KNOWN_PROVIDERS.copy()
-            logger.info(
-                "Using known providers list (discovery failed or incomplete)",
-                count=len(provider_list),
-                models_queried=discovery_count,
-            )
-
-        # Cache the results
-        _provider_cache[cache_key] = (provider_list, time())
-
-        return provider_list
-
-    except Exception as e:
-        logger.warning("Failed to get providers", error=str(e))
-        # Return known providers as fallback
-        return KNOWN_PROVIDERS.copy()
-
-
-async def get_available_models(
-    token: str | None = None,
-    task: str = "text-generation",
-    limit: int = 100,
-    inference_provider: str | None = None,
-) -> list[str]:
-    """Get list of available models for text generation.
-
-    Queries HuggingFace Hub API to get models that support text generation.
-    Optionally filters by inference provider to show only models available via that provider.
-
-    Args:
-        token: Optional HuggingFace API token for authenticated requests
-               Can be extracted from gr.OAuthToken.token in Gradio apps
-        task: Task type to filter models (default: "text-generation")
-        limit: Maximum number of models to return
-        inference_provider: Optional provider name to filter models (e.g., "fireworks-ai", "nebius")
-                           If None, returns all models for the task
-
-    Returns:
-        List of model IDs (e.g., ["meta-llama/Llama-3.1-8B-Instruct", ...])
-    """
-    try:
-        loop = asyncio.get_running_loop()
-
-        def _fetch_models() -> list[str]:
-            """Fetch models synchronously in executor."""
-            api = HfApi(token=token)
-
-            # Build query parameters
-            query_params: dict[str, Any] = {
-                "task": task,
-                "sort": "downloads",
-                "direction": -1,
-                "limit": limit,
-            }
-
-            # Filter by inference provider if specified
-            if inference_provider and inference_provider != "auto":
-                query_params["inference_provider"] = inference_provider
-
-            # Search for models
-            models = api.list_models(**query_params)
-
-            # Extract model IDs
-            model_ids = [model.id for model in models]
-            return model_ids
-
-        model_ids = await loop.run_in_executor(None, _fetch_models)
-
-        logger.info(
-            "Fetched available models",
-            count=len(model_ids),
-            task=task,
-            provider=inference_provider or "all",
-            has_token=bool(token),
-        )
-
-        return model_ids
-
-    except Exception as e:
-        logger.warning("Failed to get models from Hub API", error=str(e))
-        # Return popular fallback models
-        return [
-            "meta-llama/Llama-3.1-8B-Instruct",
-            "mistralai/Mistral-7B-Instruct-v0.3",
-            "HuggingFaceH4/zephyr-7b-beta",
-            "google/gemma-2-9b-it",
-        ]
-
-
-async def validate_model_provider_combination(
-    model_id: str,
-    provider: str | None,
-    token: str | None = None,
-) -> tuple[bool, str | None]:
-    """Validate that a model is available with a specific provider.
-
-    Uses HuggingFace Hub API to check if the provider is listed in the model's
-    inferenceProviderMapping. This is faster and more reliable than making test API calls.
-
-    Args:
-        model_id: HuggingFace model ID
-        provider: Provider name (or None/empty for auto)
-        token: Optional HuggingFace API token (from gr.OAuthToken.token)
-
-    Returns:
-        Tuple of (is_valid, error_message)
-        - is_valid: True if combination is valid or provider is "auto"
-        - error_message: Error message if invalid, None if valid
-    """
-    # "auto" is always valid - let HuggingFace select the provider
-    if not provider or provider == "auto":
-        return True, None
-
-    try:
-        loop = asyncio.get_running_loop()
-        api = HfApi(token=token)
-
-        def _get_model_info() -> Any:
-            """Get model info with provider mapping synchronously."""
-            return api.model_info(model_id, expand=["inferenceProviderMapping"])  # type: ignore[arg-type]
-
-        info = await loop.run_in_executor(None, _get_model_info)
-
-        # Check if provider is in the model's inference provider mapping
-        if hasattr(info, "inference_provider_mapping") and info.inference_provider_mapping:
-            mapping = info.inference_provider_mapping
-            available_providers = set(mapping.keys())
-
-            # Normalize provider name (some APIs use "fireworks-ai", others use "fireworks")
-            normalized_provider = provider.lower()
-            provider_variants = {normalized_provider}
-
-            # Handle common provider name variations
-            if normalized_provider == "fireworks":
-                provider_variants.add("fireworks-ai")
-            elif normalized_provider == "fireworks-ai":
-                provider_variants.add("fireworks")
-
-            # Check if any variant matches
-            if any(p in available_providers for p in provider_variants):
-                logger.debug(
-                    "Model/provider combination validated via API",
-                    model=model_id,
-                    provider=provider,
-                    available_providers=list(available_providers),
-                )
-                return True, None
-            else:
-                error_msg = (
-                    f"Model {model_id} is not available with provider '{provider}'. "
-                    f"Available providers: {', '.join(sorted(available_providers))}"
-                )
-                logger.debug(
-                    "Model/provider combination invalid",
-                    model=model_id,
-                    provider=provider,
-                    available_providers=list(available_providers),
-                )
-                return False, error_msg
-        else:
-            # Model doesn't have provider mapping - assume valid and let actual usage determine
-            logger.debug(
-                "Model has no provider mapping, assuming valid",
-                model=model_id,
-                provider=provider,
-            )
-            return True, None
-
-    except Exception as e:
-        logger.warning(
-            "Model/provider validation failed",
-            model=model_id,
-            provider=provider,
-            error=str(e),
-        )
-        # Don't fail validation on error - let the actual request fail
-        # This is more user-friendly than blocking on validation errors
-        return True, None
-
-
-async def get_models_for_provider(
-    provider: str,
-    token: str | None = None,
-    limit: int = 50,
-) -> list[str]:
-    """Get models available for a specific provider.
-
-    This is a convenience wrapper around get_available_models() with provider filtering.
-
-    Args:
-        provider: Provider name (e.g., "nebius", "together", "fireworks-ai")
-                  Note: Use "fireworks-ai" not "fireworks" for the API
-        token: Optional HuggingFace API token (from gr.OAuthToken.token)
-        limit: Maximum number of models to return
-
-    Returns:
-        List of model IDs available for the provider
-    """
-    # Normalize provider name for API
-    normalized_provider = provider
-    if provider.lower() == "fireworks":
-        normalized_provider = "fireworks-ai"
-        logger.debug("Normalized provider name", original=provider, normalized=normalized_provider)
-
-    return await get_available_models(
-        token=token,
-        task="text-generation",
-        limit=limit,
-        inference_provider=normalized_provider,
-    )
-
-
-async def validate_oauth_token(token: str | None) -> dict[str, Any]:
-    """Validate OAuth token and return available resources.
-
-    Args:
-        token: OAuth token to validate
-
-    Returns:
-        Dictionary with:
-        - is_valid: Whether token is valid
-        - has_inference_api_scope: Whether token has inference-api scope
-        - available_models: List of available model IDs
-        - available_providers: List of available provider names
-        - username: HuggingFace username (if available)
-        - error: Error message if validation failed
-    """
-    result: dict[str, Any] = {
-        "is_valid": False,
-        "has_inference_api_scope": False,
-        "available_models": [],
-        "available_providers": [],
-        "username": None,
-        "error": None,
-    }
-
-    if not token:
-        result["error"] = "No token provided"
-        return result
-
-    try:
-        # Validate token format
-        from src.utils.hf_error_handler import validate_hf_token
-
-        is_valid_format, format_error = validate_hf_token(token)
-        if not is_valid_format:
-            result["error"] = f"Invalid token format: {format_error}"
-            return result
-
-        # Try to get user info to validate token
-        loop = asyncio.get_running_loop()
-
-        def _get_user_info() -> dict[str, Any] | None:
-            """Get user info from HuggingFace API."""
-            try:
-                api = HfApi(token=token)
-                user_info = api.whoami()
-                return user_info
-            except Exception:
-                return None
-
-        user_info = await loop.run_in_executor(None, _get_user_info)
-
-        if user_info:
-            result["is_valid"] = True
-            result["username"] = user_info.get("name") or user_info.get("fullname")
-            logger.info("Token validated", username=result["username"])
-        else:
-            result["error"] = "Token validation failed - could not authenticate"
-            return result
-
-        # Try to query models to check inference-api scope
-        try:
-            models = await get_available_models(token=token, limit=10)
-            if models:
-                result["has_inference_api_scope"] = True
-                result["available_models"] = models
-                logger.info("Inference API scope confirmed", model_count=len(models))
-        except Exception as e:
-            logger.warning("Could not verify inference-api scope", error=str(e))
-            # Token might be valid but without inference-api scope
-            result["has_inference_api_scope"] = False
-            result["error"] = f"Token may not have inference-api scope: {e}"
-
-        # Get available providers
-        try:
-            providers = await get_available_providers(token=token)
-            result["available_providers"] = providers
-        except Exception as e:
-            logger.warning("Could not get providers", error=str(e))
-            # Use fallback providers
-            result["available_providers"] = ["auto"]
-
-        return result
-
-    except Exception as e:
-        logger.error("Token validation failed", error=str(e))
-        result["error"] = str(e)
-        return result
diff --git a/src/utils/huggingface_chat_client.py b/src/utils/huggingface_chat_client.py
deleted file mode 100644
index 5b0d1f67a96e95b971f110d571486c816d9fb7c3..0000000000000000000000000000000000000000
--- a/src/utils/huggingface_chat_client.py
+++ /dev/null
@@ -1,129 +0,0 @@
-"""Custom ChatClient implementation using HuggingFace InferenceClient.
-
-Uses HuggingFace InferenceClient which natively supports function calling,
-making this a thin async wrapper rather than a complex implementation.
-
-Reference: https://huggingface.co/docs/huggingface_hub/package_reference/inference_client
-"""
-
-import asyncio
-from typing import Any
-
-import structlog
-from huggingface_hub import InferenceClient
-
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-
-class HuggingFaceChatClient:
-    """ChatClient implementation using HuggingFace InferenceClient.
-
-    HuggingFace InferenceClient natively supports function calling via
-    the 'tools' parameter, making this a simple async wrapper.
-
-    This client is compatible with agent-framework's ChatAgent interface.
-    """
-
-    def __init__(
-        self,
-        model_name: str = "meta-llama/Llama-3.1-8B-Instruct",
-        api_key: str | None = None,
-        provider: str = "auto",
-    ) -> None:
-        """Initialize HuggingFace chat client.
-
-        Args:
-            model_name: HuggingFace model identifier (e.g., "meta-llama/Llama-3.1-8B-Instruct")
-            api_key: Optional HF_TOKEN for gated models. If None, uses environment token.
-            provider: Provider name or "auto" for automatic selection.
-                     Options: "auto", "cerebras", "together", "sambanova", etc.
-
-        Raises:
-            ConfigurationError: If initialization fails
-        """
-        try:
-            # Type ignore: provider can be str but InferenceClient expects Literal
-            # We validate it's a valid provider at runtime
-            self.client = InferenceClient(
-                model=model_name,
-                api_key=api_key,
-                provider=provider,  # type: ignore[arg-type]
-            )
-            self.model_name = model_name
-            self.provider = provider
-            logger.info(
-                "Initialized HuggingFace chat client",
-                model=model_name,
-                provider=provider,
-            )
-        except Exception as e:
-            raise ConfigurationError(
-                f"Failed to initialize HuggingFace InferenceClient: {e}"
-            ) from e
-
-    async def chat_completion(
-        self,
-        messages: list[dict[str, Any]],
-        tools: list[dict[str, Any]] | None = None,
-        tool_choice: str | dict[str, Any] | None = None,
-        temperature: float | None = None,
-        max_tokens: int | None = None,
-    ) -> Any:
-        """Send chat completion with optional tools.
-
-        HuggingFace InferenceClient natively supports tools parameter!
-        This is just an async wrapper around the synchronous API.
-
-        Args:
-            messages: List of message dicts with 'role' and 'content' keys.
-                     Format: [{"role": "user", "content": "Hello"}]
-            tools: Optional list of tool definitions in OpenAI format.
-                  Format: [{"type": "function", "function": {...}}]
-            tool_choice: Tool selection strategy.
-                        Options: "auto", "none", or {"type": "function", "function": {"name": "tool_name"}}
-            temperature: Sampling temperature (0.0 to 2.0). Defaults to 1.0.
-            max_tokens: Maximum tokens in response. Defaults to 100.
-
-        Returns:
-            ChatCompletionOutput compatible with agent-framework.
-            Has .choices attribute with message and tool_calls.
-
-        Raises:
-            ConfigurationError: If chat completion fails
-        """
-        try:
-            loop = asyncio.get_running_loop()
-            response = await loop.run_in_executor(
-                None,
-                lambda: self.client.chat_completion(
-                    messages=messages,
-                    tools=tools,  # type: ignore[arg-type]  # ✅ Native support!
-                    tool_choice=tool_choice,  # type: ignore[arg-type]  # ✅ Native support!
-                    temperature=temperature,
-                    max_tokens=max_tokens,
-                ),
-            )
-
-            logger.debug(
-                "Chat completion successful",
-                model=self.model_name,
-                has_tools=bool(tools),
-                has_tool_calls=bool(
-                    response.choices[0].message.tool_calls
-                    if response.choices and response.choices[0].message.tool_calls
-                    else None
-                ),
-            )
-
-            return response
-
-        except Exception as e:
-            logger.error(
-                "Chat completion failed",
-                model=self.model_name,
-                error=str(e),
-                error_type=type(e).__name__,
-            )
-            raise ConfigurationError(f"HuggingFace chat completion failed: {e}") from e
diff --git a/src/utils/llm_factory.py b/src/utils/llm_factory.py
deleted file mode 100644
index 2009568298056aca40e6fdddb93f7e7b48fc9f54..0000000000000000000000000000000000000000
--- a/src/utils/llm_factory.py
+++ /dev/null
@@ -1,206 +0,0 @@
-"""Centralized LLM client factory.
-
-This module provides factory functions for creating LLM clients,
-ensuring consistent configuration and clear error messages.
-
-Agent-Framework Chat Clients:
-- HuggingFace InferenceClient: Native function calling support via 'tools' parameter
-- OpenAI ChatClient: Native function calling support (original implementation)
-- Both can be used with agent-framework's ChatAgent
-
-Pydantic AI Models:
-- Default provider is HuggingFace (free tier, no API key required for public models)
-- OpenAI and Anthropic are available as fallback options
-- All providers use Pydantic AI's unified interface
-"""
-
-from typing import TYPE_CHECKING, Any
-
-import structlog
-
-from src.utils.config import settings
-from src.utils.exceptions import ConfigurationError
-
-logger = structlog.get_logger()
-
-if TYPE_CHECKING:
-    from agent_framework.openai import OpenAIChatClient
-
-    from src.utils.huggingface_chat_client import HuggingFaceChatClient
-
-
-def get_magentic_client() -> "OpenAIChatClient":
-    """
-    Get the OpenAI client for Magentic agents (legacy function).
-
-    Note: This function is kept for backward compatibility.
-    For new code, use get_chat_client_for_agent() which supports
-    both OpenAI and HuggingFace.
-
-    Raises:
-        ConfigurationError: If OPENAI_API_KEY is not set
-
-    Returns:
-        Configured OpenAIChatClient for Magentic agents
-    """
-    # Import here to avoid requiring agent-framework for simple mode
-    from agent_framework.openai import OpenAIChatClient
-
-    api_key = settings.get_openai_api_key()
-
-    return OpenAIChatClient(
-        model_id=settings.openai_model,
-        api_key=api_key,
-    )
-
-
-def get_huggingface_chat_client(oauth_token: str | None = None) -> "HuggingFaceChatClient":
-    """
-    Get HuggingFace chat client for agent-framework.
-
-    HuggingFace InferenceClient natively supports function calling,
-    making it compatible with agent-framework's ChatAgent.
-
-    Args:
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured HuggingFaceChatClient
-
-    Raises:
-        ConfigurationError: If initialization fails
-    """
-    from src.utils.huggingface_chat_client import HuggingFaceChatClient
-
-    model_name = settings.huggingface_model or "meta-llama/Llama-3.1-8B-Instruct"
-    # Priority: oauth_token > env vars
-    api_key = oauth_token or settings.hf_token or settings.huggingface_api_key
-
-    return HuggingFaceChatClient(
-        model_name=model_name,
-        api_key=api_key,
-        provider="auto",  # Auto-select best provider
-    )
-
-
-def get_chat_client_for_agent(oauth_token: str | None = None) -> Any:
-    """
-    Get appropriate chat client for agent-framework based on configuration.
-
-    Supports:
-    - HuggingFace InferenceClient (if HF_TOKEN available, preferred for free tier)
-    - OpenAI ChatClient (if OPENAI_API_KEY available, fallback)
-
-    Args:
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        ChatClient compatible with agent-framework (HuggingFaceChatClient or OpenAIChatClient)
-
-    Raises:
-        ConfigurationError: If no suitable client can be created
-    """
-    # Check if we have OAuth token or env vars
-    has_hf_key = bool(oauth_token or settings.has_huggingface_key)
-
-    # Prefer HuggingFace if available (free tier)
-    if has_hf_key:
-        return get_huggingface_chat_client(oauth_token=oauth_token)
-
-    # Fallback to OpenAI if available
-    if settings.has_openai_key:
-        return get_magentic_client()
-
-    # If neither available, try HuggingFace without key (public models)
-    try:
-        return get_huggingface_chat_client(oauth_token=oauth_token)
-    except Exception:
-        pass
-
-    raise ConfigurationError(
-        "No chat client available. Set HF_TOKEN or OPENAI_API_KEY for agent-framework mode."
-    )
-
-
-def get_pydantic_ai_model(oauth_token: str | None = None) -> Any:
-    """
-    Get the appropriate model for pydantic-ai based on configuration.
-
-    Uses the configured LLM_PROVIDER to select between HuggingFace, OpenAI, and Anthropic.
-    Defaults to HuggingFace if provider is not specified or unknown.
-    This is used by simple mode components (JudgeHandler, etc.)
-
-    Args:
-        oauth_token: Optional OAuth token from HuggingFace login (takes priority over env vars)
-
-    Returns:
-        Configured pydantic-ai model
-    """
-    from pydantic_ai.models.huggingface import HuggingFaceModel
-    from pydantic_ai.providers.huggingface import HuggingFaceProvider
-
-    # Priority: oauth_token > settings.hf_token > settings.huggingface_api_key
-    effective_hf_token = oauth_token or settings.hf_token or settings.huggingface_api_key
-
-    # HuggingFaceProvider requires a token - cannot use None
-    if not effective_hf_token:
-        raise ConfigurationError(
-            "HuggingFace token required. Please either:\n"
-            "1. Log in via HuggingFace OAuth (recommended for Spaces)\n"
-            "2. Set HF_TOKEN environment variable\n"
-            "3. Set huggingface_api_key in settings"
-        )
-
-    # Validate and log token information
-    from src.utils.hf_error_handler import log_token_info, validate_hf_token
-
-    log_token_info(effective_hf_token, context="get_pydantic_ai_model")
-    is_valid, error_msg = validate_hf_token(effective_hf_token)
-    if not is_valid:
-        logger.warning(
-            "Token validation failed in get_pydantic_ai_model",
-            error=error_msg,
-            has_oauth=bool(oauth_token),
-        )
-        # Continue anyway - let the API call fail with a clear error
-
-    # Always use HuggingFace with available token
-    model_name = settings.huggingface_model or "meta-llama/Llama-3.1-8B-Instruct"
-    hf_provider = HuggingFaceProvider(api_key=effective_hf_token)
-    return HuggingFaceModel(model_name, provider=hf_provider)
-
-
-def check_magentic_requirements() -> None:
-    """
-    Check if Magentic/agent-framework mode requirements are met.
-
-    Note: HuggingFace InferenceClient now supports function calling natively,
-    so this check is relaxed. We prefer HuggingFace if available, fallback to OpenAI.
-
-    Raises:
-        ConfigurationError: If no suitable client can be created
-    """
-    # Try to get a chat client - will raise if none available
-    try:
-        get_chat_client_for_agent()
-    except ConfigurationError as e:
-        raise ConfigurationError(
-            "Agent-framework mode requires HF_TOKEN or OPENAI_API_KEY. "
-            "HuggingFace is preferred (free tier with function calling support). "
-            "Use mode='simple' for other LLM providers."
-        ) from e
-
-
-def check_simple_mode_requirements() -> None:
-    """
-    Check if simple mode requirements are met.
-
-    Simple mode supports HuggingFace (default), OpenAI, and Anthropic.
-    HuggingFace can work without an API key for public models.
-
-    Raises:
-        ConfigurationError: If no LLM is available (only if explicitly required)
-    """
-    # HuggingFace can work without API key for public models, so we don't require it
-    # This allows simple mode to work out of the box
-    pass
diff --git a/src/utils/markdown.css b/src/utils/markdown.css
deleted file mode 100644
index 62282b6b8f2dd641c2736c430b99b8337acc6d52..0000000000000000000000000000000000000000
--- a/src/utils/markdown.css
+++ /dev/null
@@ -1,24 +0,0 @@
-body {
-    font-family: Arial, sans-serif;
-    font-size: 14px;
-    line-height: 1.8;
-    color: #000;
-}
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/src/utils/md_to_pdf.py b/src/utils/md_to_pdf.py
deleted file mode 100644
index 08e7f71d003032dc202f897563f99cf1b600f07c..0000000000000000000000000000000000000000
--- a/src/utils/md_to_pdf.py
+++ /dev/null
@@ -1,63 +0,0 @@
-"""Utility for converting markdown to PDF."""
-
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import structlog
-
-if TYPE_CHECKING:
-    pass
-
-logger = structlog.get_logger()
-
-# Try to import md2pdf
-try:
-    from md2pdf import md2pdf
-
-    _MD2PDF_AVAILABLE = True
-except ImportError:
-    md2pdf = None  # type: ignore[assignment, misc]
-    _MD2PDF_AVAILABLE = False
-    logger.warning("md2pdf not available - PDF generation will be disabled")
-
-
-def get_css_path() -> Path:
-    """Get the path to the markdown.css file."""
-    curdir = Path(__file__).parent
-    css_path = curdir / "markdown.css"
-    return css_path
-
-
-def md_to_pdf(md_text: str, pdf_file_path: str) -> None:
-    """
-    Convert markdown text to PDF.
-
-    Args:
-        md_text: Markdown text content
-        pdf_file_path: Path where PDF should be saved
-
-    Raises:
-        ImportError: If md2pdf is not installed
-        ValueError: If markdown text is empty
-        OSError: If PDF file cannot be written
-    """
-    if not _MD2PDF_AVAILABLE:
-        raise ImportError("md2pdf is not installed. Install it with: pip install md2pdf")
-
-    if not md_text or not md_text.strip():
-        raise ValueError("Markdown text cannot be empty")
-
-    css_path = get_css_path()
-
-    if not css_path.exists():
-        logger.warning(
-            "CSS file not found, PDF will be generated without custom styling",
-            css_path=str(css_path),
-        )
-        # Generate PDF without CSS
-        md2pdf(pdf_file_path, md_text)
-    else:
-        # Generate PDF with CSS
-        md2pdf(pdf_file_path, md_text, css_file_path=str(css_path))
-
-    logger.debug("PDF generated successfully", pdf_path=pdf_file_path)
diff --git a/src/utils/message_history.py b/src/utils/message_history.py
deleted file mode 100644
index 5ddbbe30af20de6ab9163494267a0b5626a480be..0000000000000000000000000000000000000000
--- a/src/utils/message_history.py
+++ /dev/null
@@ -1,169 +0,0 @@
-"""Message history utilities for Pydantic AI integration."""
-
-from typing import Any
-
-import structlog
-
-try:
-    from pydantic_ai import ModelMessage, ModelRequest, ModelResponse
-    from pydantic_ai.messages import TextPart, UserPromptPart
-
-    _PYDANTIC_AI_AVAILABLE = True
-except ImportError:
-    # Fallback for older pydantic-ai versions
-    ModelMessage = Any  # type: ignore[assignment, misc]
-    ModelRequest = Any  # type: ignore[assignment, misc]
-    ModelResponse = Any  # type: ignore[assignment, misc]
-    TextPart = Any  # type: ignore[assignment, misc]
-    UserPromptPart = Any  # type: ignore[assignment, misc]
-    _PYDANTIC_AI_AVAILABLE = False
-
-logger = structlog.get_logger()
-
-
-def convert_gradio_to_message_history(
-    history: list[dict[str, Any]],
-    max_messages: int = 20,
-) -> list[ModelMessage]:
-    """
-    Convert Gradio chat history to Pydantic AI message history.
-
-    Args:
-        history: Gradio chat history format [{"role": "user", "content": "..."}, ...]
-        max_messages: Maximum messages to include (most recent)
-
-    Returns:
-        List of ModelMessage objects for Pydantic AI
-    """
-    if not history:
-        return []
-
-    if not _PYDANTIC_AI_AVAILABLE:
-        logger.warning(
-            "Pydantic AI message history not available, returning empty list",
-        )
-        return []
-
-    messages: list[ModelMessage] = []
-
-    # Take most recent messages
-    recent = history[-max_messages:] if len(history) > max_messages else history
-
-    for msg in recent:
-        role = msg.get("role", "")
-        content = msg.get("content", "")
-
-        if not content or role not in ("user", "assistant"):
-            continue
-
-        # Convert content to string if needed
-        content_str = str(content)
-
-        if role == "user":
-            messages.append(
-                ModelRequest(parts=[UserPromptPart(content=content_str)]),
-            )
-        elif role == "assistant":
-            messages.append(
-                ModelResponse(parts=[TextPart(content=content_str)]),
-            )
-
-    logger.debug(
-        "Converted Gradio history to message history",
-        input_turns=len(history),
-        output_messages=len(messages),
-    )
-
-    return messages
-
-
-def message_history_to_string(
-    messages: list[ModelMessage],
-    max_messages: int = 5,
-    include_metadata: bool = False,
-) -> str:
-    """
-    Convert message history to string format for backward compatibility.
-
-    Used during transition period when some agents still expect strings.
-
-    Args:
-        messages: List of ModelMessage objects
-        max_messages: Maximum messages to include
-        include_metadata: Whether to include metadata
-
-    Returns:
-        Formatted string representation
-    """
-    if not messages:
-        return ""
-
-    recent = messages[-max_messages:] if len(messages) > max_messages else messages
-
-    parts = ["PREVIOUS CONVERSATION:", "---"]
-    turn_num = 1
-
-    for msg in recent:
-        # Extract text content
-        text = ""
-        if isinstance(msg, ModelRequest):
-            for part in msg.parts:
-                if hasattr(part, "content"):
-                    text += str(part.content)
-            parts.append(f"[Turn {turn_num}]")
-            parts.append(f"User: {text}")
-            turn_num += 1
-        elif isinstance(msg, ModelResponse):
-            for part in msg.parts:  # type: ignore[assignment]
-                if hasattr(part, "content"):
-                    text += str(part.content)
-            parts.append(f"Assistant: {text}")
-
-    parts.append("---")
-    return "\n".join(parts)
-
-
-def create_truncation_processor(max_messages: int = 10) -> Any:
-    """Create a history processor that keeps only the most recent N messages.
-
-    Args:
-        max_messages: Maximum number of messages to keep
-
-    Returns:
-        Processor function that takes a list of messages and returns truncated list
-    """
-
-    def processor(messages: list[ModelMessage]) -> list[ModelMessage]:
-        return messages[-max_messages:] if len(messages) > max_messages else messages
-
-    return processor
-
-
-def create_relevance_processor(min_length: int = 10) -> Any:
-    """Create a history processor that filters out very short messages.
-
-    Args:
-        min_length: Minimum message length to keep
-
-    Returns:
-        Processor function that filters messages by length
-    """
-
-    def processor(messages: list[ModelMessage]) -> list[ModelMessage]:
-        filtered = []
-        for msg in messages:
-            text = ""
-            if isinstance(msg, ModelRequest):
-                for part in msg.parts:
-                    if hasattr(part, "content"):
-                        text += str(part.content)
-            elif isinstance(msg, ModelResponse):
-                for part in msg.parts:  # type: ignore[assignment]
-                    if hasattr(part, "content"):
-                        text += str(part.content)
-
-            if len(text.strip()) >= min_length:
-                filtered.append(msg)
-        return filtered
-
-    return processor
diff --git a/src/utils/models.py b/src/utils/models.py
deleted file mode 100644
index e43efac0e0477910c98bd50cee94f75bf321a39d..0000000000000000000000000000000000000000
--- a/src/utils/models.py
+++ /dev/null
@@ -1,574 +0,0 @@
-"""Data models for the Search feature."""
-
-from datetime import UTC, datetime
-from typing import Any, ClassVar, Literal
-
-from pydantic import BaseModel, Field
-
-# Centralized source type - add new sources here (e.g., "biorxiv" in Phase 11)
-SourceName = Literal[
-    "pubmed", "clinicaltrials", "biorxiv", "europepmc", "preprint", "rag", "web", "neo4j"
-]
-
-
-class Citation(BaseModel):
-    """A citation to a source document."""
-
-    source: SourceName = Field(description="Where this came from")
-
-    title: str = Field(min_length=1, max_length=500)
-    url: str = Field(description="URL to the source")
-    date: str = Field(description="Publication date (YYYY-MM-DD or 'Unknown')")
-    authors: list[str] = Field(default_factory=list)
-
-    MAX_AUTHORS_IN_CITATION: ClassVar[int] = 3
-
-    @property
-    def formatted(self) -> str:
-        """Format as a citation string."""
-        author_str = ", ".join(self.authors[: self.MAX_AUTHORS_IN_CITATION])
-        if len(self.authors) > self.MAX_AUTHORS_IN_CITATION:
-            author_str += " et al."
-        return f"{author_str} ({self.date}). {self.title}. {self.source.upper()}"
-
-
-class Evidence(BaseModel):
-    """A piece of evidence retrieved from search."""
-
-    content: str = Field(min_length=1, description="The actual text content")
-    citation: Citation
-    relevance: float = Field(default=0.0, ge=0.0, le=1.0, description="Relevance score 0-1")
-    metadata: dict[str, Any] = Field(
-        default_factory=dict,
-        description="Additional metadata (e.g., cited_by_count, concepts, is_open_access)",
-    )
-
-    model_config = {"frozen": True}
-
-
-class SearchResult(BaseModel):
-    """Result of a search operation."""
-
-    query: str
-    evidence: list[Evidence]
-    sources_searched: list[SourceName]
-    total_found: int
-    errors: list[str] = Field(default_factory=list)
-
-
-class AssessmentDetails(BaseModel):
-    """Detailed assessment of evidence quality."""
-
-    mechanism_score: int = Field(
-        ...,
-        ge=0,
-        le=10,
-        description="How well does the evidence explain the mechanism? 0-10",
-    )
-    mechanism_reasoning: str = Field(
-        ..., min_length=10, description="Explanation of mechanism score"
-    )
-    clinical_evidence_score: int = Field(
-        ...,
-        ge=0,
-        le=10,
-        description="Strength of clinical/preclinical evidence. 0-10",
-    )
-    clinical_reasoning: str = Field(
-        ..., min_length=10, description="Explanation of clinical evidence score"
-    )
-    drug_candidates: list[str] = Field(
-        default_factory=list, description="List of specific drug candidates mentioned"
-    )
-    key_findings: list[str] = Field(
-        default_factory=list, description="Key findings from the evidence"
-    )
-
-
-class JudgeAssessment(BaseModel):
-    """Complete assessment from the Judge."""
-
-    details: AssessmentDetails
-    sufficient: bool = Field(..., description="Is evidence sufficient to provide a recommendation?")
-    confidence: float = Field(..., ge=0.0, le=1.0, description="Confidence in the assessment (0-1)")
-    recommendation: Literal["continue", "synthesize"] = Field(
-        ...,
-        description="continue = need more evidence, synthesize = ready to answer",
-    )
-    next_search_queries: list[str] = Field(
-        default_factory=list, description="If continue, what queries to search next"
-    )
-    reasoning: str = Field(
-        ..., min_length=20, description="Overall reasoning for the recommendation"
-    )
-
-
-class AgentEvent(BaseModel):
-    """Event emitted by the orchestrator for UI streaming."""
-
-    type: Literal[
-        "started",
-        "searching",
-        "search_complete",
-        "judging",
-        "judge_complete",
-        "looping",
-        "synthesizing",
-        "complete",
-        "error",
-        "streaming",
-        "hypothesizing",
-        "analyzing",  # NEW for Phase 13
-        "analysis_complete",  # NEW for Phase 13
-    ]
-    message: str
-    data: Any = None
-    timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
-    iteration: int = 0
-
-    def to_markdown(self) -> str:
-        """Format event as markdown for chat display."""
-        icons = {
-            "started": "🚀",
-            "searching": "🔍",
-            "search_complete": "📚",
-            "judging": "🧠",
-            "judge_complete": "✅",
-            "looping": "🔄",
-            "synthesizing": "📝",
-            "complete": "🎉",
-            "error": "❌",
-            "streaming": "📡",
-            "hypothesizing": "🔬",  # NEW
-            "analyzing": "📊",  # NEW
-            "analysis_complete": "📈",  # NEW
-        }
-        icon = icons.get(self.type, "•")
-        return f"{icon} **{self.type.upper()}**: {self.message}"
-
-
-class MechanismHypothesis(BaseModel):
-    """A scientific hypothesis about drug mechanism."""
-
-    drug: str = Field(description="The drug being studied")
-    target: str = Field(description="Molecular target (e.g., AMPK, mTOR)")
-    pathway: str = Field(description="Biological pathway affected")
-    effect: str = Field(description="Downstream effect on disease")
-    confidence: float = Field(ge=0, le=1, description="Confidence in hypothesis")
-    supporting_evidence: list[str] = Field(
-        default_factory=list, description="PMIDs or URLs supporting this hypothesis"
-    )
-    contradicting_evidence: list[str] = Field(
-        default_factory=list, description="PMIDs or URLs contradicting this hypothesis"
-    )
-    search_suggestions: list[str] = Field(
-        default_factory=list, description="Suggested searches to test this hypothesis"
-    )
-
-    def to_search_queries(self) -> list[str]:
-        """Generate search queries to test this hypothesis."""
-        return [
-            f"{self.drug} {self.target}",
-            f"{self.target} {self.pathway}",
-            f"{self.pathway} {self.effect}",
-            *self.search_suggestions,
-        ]
-
-
-class HypothesisAssessment(BaseModel):
-    """Assessment of evidence against hypotheses."""
-
-    hypotheses: list[MechanismHypothesis]
-    primary_hypothesis: MechanismHypothesis | None = Field(
-        default=None, description="Most promising hypothesis based on current evidence"
-    )
-    knowledge_gaps: list[str] = Field(description="What we don't know yet")
-    recommended_searches: list[str] = Field(description="Searches to fill knowledge gaps")
-
-
-class ReportSection(BaseModel):
-    """A section of the research report."""
-
-    title: str
-    content: str
-    # Reserved for future inline citation tracking within sections
-    citations: list[str] = Field(default_factory=list)
-
-
-class ResearchReport(BaseModel):
-    """Structured scientific report."""
-
-    title: str = Field(description="Report title")
-    executive_summary: str = Field(
-        description="One-paragraph summary for quick reading", min_length=100, max_length=1000
-    )
-    research_question: str = Field(description="Clear statement of what was investigated")
-
-    methodology: ReportSection = Field(description="How the research was conducted")
-    hypotheses_tested: list[dict[str, Any]] = Field(
-        description="Hypotheses with supporting/contradicting evidence counts"
-    )
-
-    mechanistic_findings: ReportSection = Field(description="Findings about drug mechanisms")
-    clinical_findings: ReportSection = Field(
-        description="Findings from clinical/preclinical studies"
-    )
-
-    drug_candidates: list[str] = Field(description="Identified drug candidates")
-    limitations: list[str] = Field(description="Study limitations")
-    conclusion: str = Field(description="Overall conclusion")
-
-    references: list[dict[str, str]] = Field(
-        default_factory=list,
-        description="Formatted references with title, authors, source, URL",
-    )
-
-    # Metadata
-    sources_searched: list[str] = Field(default_factory=list)
-    total_papers_reviewed: int = 0
-    search_iterations: int = 0
-    confidence_score: float = Field(ge=0, le=1)
-
-    def to_markdown(self) -> str:
-        """Render report as markdown."""
-        sections = [
-            f"# {self.title}\n",
-            f"## Executive Summary\n{self.executive_summary}\n",
-            f"## Research Question\n{self.research_question}\n",
-            f"## Methodology\n{self.methodology.content}\n",
-        ]
-
-        # Hypotheses
-        sections.append("## Hypotheses Tested\n")
-        if not self.hypotheses_tested:
-            sections.append("*No hypotheses tested yet.*\n")
-        for h in self.hypotheses_tested:
-            supported = h.get("supported", 0)
-            contradicted = h.get("contradicted", 0)
-            if supported == 0 and contradicted == 0:
-                status = "❓ Untested"
-            elif supported > contradicted:
-                status = "✅ Supported"
-            else:
-                status = "⚠️ Mixed"
-            sections.append(
-                f"- **{h.get('mechanism', 'Unknown')}** ({status}): "
-                f"{supported} supporting, {contradicted} contradicting\n"
-            )
-
-        # Findings
-        sections.append(f"## Mechanistic Findings\n{self.mechanistic_findings.content}\n")
-        sections.append(f"## Clinical Findings\n{self.clinical_findings.content}\n")
-
-        # Drug candidates
-        sections.append("## Drug Candidates\n")
-        if self.drug_candidates:
-            for drug in self.drug_candidates:
-                sections.append(f"- **{drug}**\n")
-        else:
-            sections.append("*No drug candidates identified.*\n")
-
-        # Limitations
-        sections.append("## Limitations\n")
-        if self.limitations:
-            for lim in self.limitations:
-                sections.append(f"- {lim}\n")
-        else:
-            sections.append("*No limitations documented.*\n")
-
-        # Conclusion
-        sections.append(f"## Conclusion\n{self.conclusion}\n")
-
-        # References
-        sections.append("## References\n")
-        if self.references:
-            for i, ref in enumerate(self.references, 1):
-                sections.append(
-                    f"{i}. {ref.get('authors', 'Unknown')}. "
-                    f"*{ref.get('title', 'Untitled')}*. "
-                    f"{ref.get('source', '')} ({ref.get('date', '')}). "
-                    f"[Link]({ref.get('url', '#')})\n"
-                )
-        else:
-            sections.append("*No references available.*\n")
-
-        # Metadata footer
-        sections.append("\n---\n")
-        sections.append(
-            f"*Report generated from {self.total_papers_reviewed} papers "
-            f"across {self.search_iterations} search iterations. "
-            f"Confidence: {self.confidence_score:.0%}*"
-        )
-
-        return "\n".join(sections)
-
-
-class OrchestratorConfig(BaseModel):
-    """Configuration for the orchestrator."""
-
-    max_iterations: int = Field(default=10, ge=1, le=20)
-    max_results_per_tool: int = Field(default=10, ge=1, le=50)
-    search_timeout: float = Field(default=30.0, ge=5.0, le=120.0)
-
-
-# Models for iterative/deep research patterns
-
-
-class IterationData(BaseModel):
-    """Data for a single iteration of the research loop."""
-
-    gap: str = Field(description="The gap addressed in the iteration", default="")
-    tool_calls: list[str] = Field(description="The tool calls made", default_factory=list)
-    findings: list[str] = Field(
-        description="The findings collected from tool calls", default_factory=list
-    )
-    thought: str = Field(
-        description="The thinking done to reflect on the success of the iteration and next steps",
-        default="",
-    )
-
-    model_config = {"frozen": True}
-
-
-class Conversation(BaseModel):
-    """A conversation between the user and the iterative researcher."""
-
-    history: list[IterationData] = Field(
-        description="The data for each iteration of the research loop",
-        default_factory=list,
-    )
-
-    def add_iteration(self, iteration_data: IterationData | None = None) -> None:
-        """Add a new iteration to the conversation history."""
-        if iteration_data is None:
-            iteration_data = IterationData()
-        self.history.append(iteration_data)
-
-    def set_latest_gap(self, gap: str) -> None:
-        """Set the gap for the latest iteration."""
-        if not self.history:
-            self.add_iteration()
-        # Use model_copy() since IterationData is frozen
-        self.history[-1] = self.history[-1].model_copy(update={"gap": gap})
-
-    def set_latest_tool_calls(self, tool_calls: list[str]) -> None:
-        """Set the tool calls for the latest iteration."""
-        if not self.history:
-            self.add_iteration()
-        # Use model_copy() since IterationData is frozen
-        self.history[-1] = self.history[-1].model_copy(update={"tool_calls": tool_calls})
-
-    def set_latest_findings(self, findings: list[str]) -> None:
-        """Set the findings for the latest iteration."""
-        if not self.history:
-            self.add_iteration()
-        # Use model_copy() since IterationData is frozen
-        self.history[-1] = self.history[-1].model_copy(update={"findings": findings})
-
-    def set_latest_thought(self, thought: str) -> None:
-        """Set the thought for the latest iteration."""
-        if not self.history:
-            self.add_iteration()
-        # Use model_copy() since IterationData is frozen
-        self.history[-1] = self.history[-1].model_copy(update={"thought": thought})
-
-    def get_latest_gap(self) -> str:
-        """Get the gap from the latest iteration."""
-        if not self.history:
-            return ""
-        return self.history[-1].gap
-
-    def get_latest_tool_calls(self) -> list[str]:
-        """Get the tool calls from the latest iteration."""
-        if not self.history:
-            return []
-        return self.history[-1].tool_calls
-
-    def get_latest_findings(self) -> list[str]:
-        """Get the findings from the latest iteration."""
-        if not self.history:
-            return []
-        return self.history[-1].findings
-
-    def get_latest_thought(self) -> str:
-        """Get the thought from the latest iteration."""
-        if not self.history:
-            return ""
-        return self.history[-1].thought
-
-    def get_all_findings(self) -> list[str]:
-        """Get all findings from all iterations."""
-        return [finding for iteration_data in self.history for finding in iteration_data.findings]
-
-    def compile_conversation_history(self) -> str:
-        """Compile the conversation history into a string."""
-        conversation = ""
-        for iteration_num, iteration_data in enumerate(self.history):
-            conversation += f"[ITERATION {iteration_num + 1}]\n\n"
-            if iteration_data.thought:
-                conversation += f"{self.get_thought_string(iteration_num)}\n\n"
-            if iteration_data.gap:
-                conversation += f"{self.get_task_string(iteration_num)}\n\n"
-            if iteration_data.tool_calls:
-                conversation += f"{self.get_action_string(iteration_num)}\n\n"
-            if iteration_data.findings:
-                conversation += f"{self.get_findings_string(iteration_num)}\n\n"
-
-        return conversation
-
-    def get_task_string(self, iteration_num: int) -> str:
-        """Get the task for the specified iteration."""
-        if iteration_num < len(self.history) and self.history[iteration_num].gap:
-            return f"<task>\nAddress this knowledge gap: {self.history[iteration_num].gap}\n</task>"
-        return ""
-
-    def get_action_string(self, iteration_num: int) -> str:
-        """Get the action for the specified iteration."""
-        if iteration_num < len(self.history) and self.history[iteration_num].tool_calls:
-            joined_calls = "\n".join(self.history[iteration_num].tool_calls)
-            return (
-                "<action>\nCalling the following tools to address the knowledge gap:\n"
-                f"{joined_calls}\n</action>"
-            )
-        return ""
-
-    def get_findings_string(self, iteration_num: int) -> str:
-        """Get the findings for the specified iteration."""
-        if iteration_num < len(self.history) and self.history[iteration_num].findings:
-            joined_findings = "\n\n".join(self.history[iteration_num].findings)
-            return f"<findings>\n{joined_findings}\n</findings>"
-        return ""
-
-    def get_thought_string(self, iteration_num: int) -> str:
-        """Get the thought for the specified iteration."""
-        if iteration_num < len(self.history) and self.history[iteration_num].thought:
-            return f"<thought>\n{self.history[iteration_num].thought}\n</thought>"
-        return ""
-
-    def latest_task_string(self) -> str:
-        """Get the latest task."""
-        if not self.history:
-            return ""
-        return self.get_task_string(len(self.history) - 1)
-
-    def latest_action_string(self) -> str:
-        """Get the latest action."""
-        if not self.history:
-            return ""
-        return self.get_action_string(len(self.history) - 1)
-
-    def latest_findings_string(self) -> str:
-        """Get the latest findings."""
-        if not self.history:
-            return ""
-        return self.get_findings_string(len(self.history) - 1)
-
-    def latest_thought_string(self) -> str:
-        """Get the latest thought."""
-        if not self.history:
-            return ""
-        return self.get_thought_string(len(self.history) - 1)
-
-
-class ReportPlanSection(BaseModel):
-    """A section of the report that needs to be written."""
-
-    title: str = Field(description="The title of the section")
-    key_question: str = Field(description="The key question to be addressed in the section")
-
-    model_config = {"frozen": True}
-
-
-class ReportPlan(BaseModel):
-    """Output from the Report Planner Agent."""
-
-    background_context: str = Field(
-        description="A summary of supporting context that can be passed onto the research agents"
-    )
-    report_outline: list[ReportPlanSection] = Field(
-        description="List of sections that need to be written in the report"
-    )
-    report_title: str = Field(description="The title of the report")
-
-    model_config = {"frozen": True}
-
-
-class KnowledgeGapOutput(BaseModel):
-    """Output from the Knowledge Gap Agent."""
-
-    research_complete: bool = Field(
-        description="Whether the research and findings are complete enough to end the research loop"
-    )
-    outstanding_gaps: list[str] = Field(
-        description="List of knowledge gaps that still need to be addressed"
-    )
-
-    model_config = {"frozen": True}
-
-
-class AgentTask(BaseModel):
-    """A task for a specific agent to address knowledge gaps."""
-
-    gap: str | None = Field(description="The knowledge gap being addressed", default=None)
-    agent: str = Field(description="The name of the agent to use")
-    query: str = Field(description="The specific query for the agent")
-    entity_website: str | None = Field(
-        description="The website of the entity being researched, if known",
-        default=None,
-    )
-
-    model_config = {"frozen": True}
-
-
-class AgentSelectionPlan(BaseModel):
-    """Plan for which agents to use for knowledge gaps."""
-
-    tasks: list[AgentTask] = Field(description="List of agent tasks to address knowledge gaps")
-
-    model_config = {"frozen": True}
-
-
-class ReportDraftSection(BaseModel):
-    """A section of the report that needs to be written."""
-
-    section_title: str = Field(description="The title of the section")
-    section_content: str = Field(description="The content of the section")
-
-    model_config = {"frozen": True}
-
-
-class ReportDraft(BaseModel):
-    """Output from the Report Planner Agent."""
-
-    sections: list[ReportDraftSection] = Field(
-        description="List of sections that are in the report"
-    )
-
-    model_config = {"frozen": True}
-
-
-class ToolAgentOutput(BaseModel):
-    """Standard output for all tool agents."""
-
-    output: str = Field(description="The output from the tool agent")
-    sources: list[str] = Field(description="List of source URLs", default_factory=list)
-
-    model_config = {"frozen": True}
-
-
-class ParsedQuery(BaseModel):
-    """Parsed and improved user query with research mode detection."""
-
-    original_query: str = Field(description="The original user query")
-    improved_query: str = Field(description="Improved/refined query")
-    research_mode: Literal["iterative", "deep"] = Field(description="Detected research mode")
-    key_entities: list[str] = Field(
-        default_factory=list,
-        description="Key entities extracted from query",
-    )
-    research_questions: list[str] = Field(
-        default_factory=list,
-        description="Specific research questions extracted",
-    )
-
-    model_config = {"frozen": True}
diff --git a/src/utils/report_generator.py b/src/utils/report_generator.py
deleted file mode 100644
index 330f2ad281867acc08f21b9a04fc1617a0ad7029..0000000000000000000000000000000000000000
--- a/src/utils/report_generator.py
+++ /dev/null
@@ -1,179 +0,0 @@
-"""Utility functions for generating reports from evidence when LLM fails."""
-
-from typing import TYPE_CHECKING
-
-import structlog
-
-if TYPE_CHECKING:
-    from src.utils.models import Citation, Evidence
-
-logger = structlog.get_logger()
-
-
-def _format_authors(citation: "Citation") -> str:
-    """Format authors string from citation."""
-    authors = ", ".join(citation.authors[:3])
-    if len(citation.authors) > 3:
-        authors += " et al."
-    elif not authors:
-        authors = "Unknown"
-    return authors
-
-
-def _add_evidence_section(report_parts: list[str], evidence: list["Evidence"]) -> None:
-    """Add evidence summary section to report."""
-    from src.utils.models import SourceName
-
-    report_parts.append("## Evidence Summary\n")
-    report_parts.append(f"**Total Sources Found:** {len(evidence)}\n\n")
-
-    # Group evidence by source
-    by_source: dict[SourceName, list[Evidence]] = {}
-    for ev in evidence:
-        source = ev.citation.source
-        if source not in by_source:
-            by_source[source] = []
-        by_source[source].append(ev)
-
-    # Organize by source
-    for source in sorted(by_source.keys()):  # type: ignore[assignment]
-        source_evidence = by_source[source]
-        report_parts.append(f"### {source.upper()} Sources ({len(source_evidence)})\n\n")
-
-        for i, ev in enumerate(source_evidence, 1):
-            authors = _format_authors(ev.citation)
-            report_parts.append(f"#### {i}. {ev.citation.title}\n")
-            if authors and authors != "Unknown":
-                report_parts.append(f"**Authors:** {authors}  \n")
-            report_parts.append(f"**Date:** {ev.citation.date}  \n")
-            report_parts.append(f"**Source:** {ev.citation.source.upper()}  \n")
-            report_parts.append(f"**URL:** {ev.citation.url}  \n\n")
-
-            # Content (truncated if too long)
-            content = ev.content
-            if len(content) > 500:
-                content = content[:500] + "... [truncated]"
-            report_parts.append(f"{content}\n\n")
-
-
-def _add_key_findings(report_parts: list[str], evidence: list["Evidence"]) -> None:
-    """Add key findings section to report."""
-    report_parts.append("## Key Findings\n\n")
-    report_parts.append(
-        "Based on the evidence collected, the following key points were identified:\n\n"
-    )
-
-    # Extract key points from evidence (first sentence or summary)
-    key_points: list[str] = []
-    for ev in evidence[:10]:  # Limit to top 10
-        # Try to extract first meaningful sentence
-        content = ev.content.strip()
-        if content:
-            # Find first sentence
-            first_period = content.find(".")
-            if first_period > 0 and first_period < 200:
-                key_point = content[: first_period + 1].strip()
-            else:
-                # Fallback: first 150 chars
-                key_point = content[:150].strip()
-                if len(content) > 150:
-                    key_point += "..."
-            key_points.append(f"- {key_point} [[{len(key_points) + 1}]](#references)")
-
-    if key_points:
-        report_parts.append("\n".join(key_points))
-        report_parts.append("\n\n")
-    else:
-        report_parts.append("*No specific key findings could be extracted from the evidence.*\n\n")
-
-
-def _add_references(report_parts: list[str], evidence: list["Evidence"]) -> None:
-    """Add references section to report."""
-    report_parts.append("## References\n\n")
-    for i, ev in enumerate(evidence, 1):
-        authors = _format_authors(ev.citation)
-        report_parts.append(
-            f"[{i}] {authors} ({ev.citation.date}). "
-            f"*{ev.citation.title}*. "
-            f"{ev.citation.source.upper()}. "
-            f"Available at: {ev.citation.url}\n\n"
-        )
-
-
-def generate_report_from_evidence(
-    query: str,
-    evidence: list["Evidence"] | None = None,
-    findings: str | None = None,
-) -> str:
-    """
-    Generate a structured markdown report from evidence or findings when LLM fails.
-
-    This function creates a proper report structure even without LLM assistance,
-    formatting the collected evidence into a readable, well-structured document.
-
-    Args:
-        query: The original research query
-        evidence: List of Evidence objects (preferred if available)
-        findings: Pre-formatted findings string (fallback if evidence not available)
-
-    Returns:
-        Markdown formatted report string
-    """
-    report_parts: list[str] = []
-
-    # Title
-    report_parts.append(f"# Research Report: {query}\n")
-
-    # Introduction
-    report_parts.append("## Introduction\n")
-    report_parts.append(f"This report addresses the following research query: **{query}**\n")
-    report_parts.append(
-        "*Note: This report was generated from collected evidence. "
-        "LLM-based synthesis was unavailable due to API limitations.*\n\n"
-    )
-
-    # Evidence Summary
-    if evidence and len(evidence) > 0:
-        _add_evidence_section(report_parts, evidence)
-        _add_key_findings(report_parts, evidence)
-
-    elif findings:
-        # Fallback: use findings string if evidence not available
-        report_parts.append("## Research Findings\n\n")
-        # Truncate if too long
-        if len(findings) > 10000:
-            findings = findings[:10000] + "\n\n[Content truncated due to length]"
-        report_parts.append(f"{findings}\n\n")
-    else:
-        report_parts.append("## Research Findings\n\n")
-        report_parts.append(
-            "*No evidence or findings were collected during the research process.*\n\n"
-        )
-
-    # References Section
-    if evidence and len(evidence) > 0:
-        _add_references(report_parts, evidence)
-
-    # Conclusion
-    report_parts.append("## Conclusion\n\n")
-    if evidence and len(evidence) > 0:
-        report_parts.append(
-            f"This report synthesized information from {len(evidence)} sources "
-            f"to address the research query: **{query}**\n\n"
-        )
-        report_parts.append(
-            "*Note: Due to API limitations, this report was generated directly from "
-            "collected evidence without LLM-based synthesis. For a more comprehensive "
-            "analysis, please retry when API access is available.*\n"
-        )
-    else:
-        report_parts.append(
-            "This report could not be fully generated due to limited evidence collection "
-            "and API access issues.\n\n"
-        )
-        report_parts.append(
-            "*Please retry your query when API access is available for a more "
-            "comprehensive research report.*\n"
-        )
-
-    return "".join(report_parts)
diff --git a/src/utils/text_utils.py b/src/utils/text_utils.py
deleted file mode 100644
index da37ce8eeece0575b2009e483f75a3cf4c2ab9fc..0000000000000000000000000000000000000000
--- a/src/utils/text_utils.py
+++ /dev/null
@@ -1,132 +0,0 @@
-"""Text processing utilities for evidence handling."""
-
-from typing import TYPE_CHECKING
-
-import numpy as np
-
-if TYPE_CHECKING:
-    from src.services.embeddings import EmbeddingService
-    from src.utils.models import Evidence
-
-
-def truncate_at_sentence(text: str, max_chars: int = 300) -> str:
-    """Truncate text at sentence boundary, preserving meaning.
-
-    Args:
-        text: The text to truncate
-        max_chars: Maximum characters (default 300)
-
-    Returns:
-        Text truncated at last complete sentence within limit
-    """
-    if len(text) <= max_chars:
-        return text
-
-    # Find truncation point
-    truncated = text[:max_chars]
-
-    # Look for sentence endings: . ! ? followed by space or end
-    # We check for sep at the END of the truncated string
-    for sep in [". ", "! ", "? ", ".\n", "!\n", "?\n"]:
-        last_sep = truncated.rfind(sep)
-        if last_sep > max_chars // 2:  # Don't truncate too aggressively (less than half)
-            return text[: last_sep + 1].strip()
-
-    # Fallback: find last period (even if not followed by space, e.g. end of string)
-    last_period = truncated.rfind(".")
-    if last_period > max_chars // 2:
-        return text[: last_period + 1].strip()
-
-    # Last resort: truncate at word boundary
-    last_space = truncated.rfind(" ")
-    if last_space > 0:
-        return text[:last_space].strip() + "..."
-
-    return truncated + "..."
-
-
-async def select_diverse_evidence(
-    evidence: list["Evidence"], n: int, query: str, embeddings: "EmbeddingService | None" = None
-) -> list["Evidence"]:
-    """Select n most diverse and relevant evidence items.
-
-    Uses Maximal Marginal Relevance (MMR) when embeddings available,
-    falls back to relevance_score sorting otherwise.
-
-    Args:
-        evidence: All available evidence
-        n: Number of items to select
-        query: Original query for relevance scoring
-        embeddings: Optional EmbeddingService for semantic diversity
-
-    Returns:
-        Selected evidence items, diverse and relevant
-    """
-    if not evidence:
-        return []
-
-    if n >= len(evidence):
-        return evidence
-
-    # Fallback: sort by relevance score if no embeddings
-    if embeddings is None:
-        return sorted(
-            evidence,
-            key=lambda e: e.relevance,  # Use .relevance (from Pydantic model)
-            reverse=True,
-        )[:n]
-
-    # MMR: Maximal Marginal Relevance for diverse selection
-    # Score = λ * relevance - (1-λ) * max_similarity_to_selected
-    lambda_param = 0.7  # Balance relevance vs diversity
-
-    # Get query embedding
-    query_emb = await embeddings.embed(query)
-
-    # Get all evidence embeddings
-    evidence_embs = await embeddings.embed_batch([e.content for e in evidence])
-
-    # Cosine similarity helper
-    def cosine(a: list[float], b: list[float]) -> float:
-        arr_a, arr_b = np.array(a), np.array(b)
-        denominator = float(np.linalg.norm(arr_a) * np.linalg.norm(arr_b))
-        if denominator == 0:
-            return 0.0
-        return float(np.dot(arr_a, arr_b) / denominator)
-
-    # Compute relevance scores (cosine similarity to query)
-    # Note: We use semantic relevance to query, not the keyword search 'relevance' score
-    relevance_scores = [cosine(query_emb, emb) for emb in evidence_embs]
-
-    # Greedy MMR selection
-    selected_indices: list[int] = []
-    remaining = set(range(len(evidence)))
-
-    for _ in range(n):
-        best_score = float("-inf")
-        best_idx = -1
-
-        for idx in remaining:
-            # Relevance component
-            relevance = relevance_scores[idx]
-
-            # Diversity component: max similarity to already selected
-            if selected_indices:
-                max_sim = max(
-                    cosine(evidence_embs[idx], evidence_embs[sel]) for sel in selected_indices
-                )
-            else:
-                max_sim = 0
-
-            # MMR score
-            mmr_score = lambda_param * relevance - (1 - lambda_param) * max_sim
-
-            if mmr_score > best_score:
-                best_score = mmr_score
-                best_idx = idx
-
-        if best_idx >= 0:
-            selected_indices.append(best_idx)
-            remaining.remove(best_idx)
-
-    return [evidence[i] for i in selected_indices]
diff --git a/tests/__init__.py b/tests/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/conftest.py b/tests/conftest.py
deleted file mode 100644
index 0d44787eb4cb562ffe116ea255f1c849cfbb3fb0..0000000000000000000000000000000000000000
--- a/tests/conftest.py
+++ /dev/null
@@ -1,140 +0,0 @@
-"""Shared pytest fixtures for all tests."""
-
-import os
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.utils.models import Citation, Evidence
-
-
-@pytest.fixture
-def mock_httpx_client(mocker):
-    """Mock httpx.AsyncClient for API tests."""
-    mock = mocker.patch("httpx.AsyncClient")
-    mock.return_value.__aenter__ = AsyncMock(return_value=mock.return_value)
-    mock.return_value.__aexit__ = AsyncMock(return_value=None)
-    return mock
-
-
-@pytest.fixture
-def mock_llm_response():
-    """Factory fixture for mocking LLM responses."""
-
-    def _mock(content: str):
-        return AsyncMock(return_value=content)
-
-    return _mock
-
-
-@pytest.fixture
-def sample_evidence():
-    """Sample Evidence objects for testing."""
-    return [
-        Evidence(
-            content="Metformin shows neuroprotective properties in Alzheimer's models...",
-            citation=Citation(
-                source="pubmed",
-                title="Metformin and Alzheimer's Disease: A Systematic Review",
-                url="https://pubmed.ncbi.nlm.nih.gov/12345678/",
-                date="2024-01-15",
-                authors=["Smith J", "Johnson M"],
-            ),
-            relevance=0.85,
-        ),
-        Evidence(
-            content="Research offers faster path to treatment discovery...",
-            citation=Citation(
-                source="pubmed",
-                title="Research Strategies for Treatment Discovery",
-                url="https://example.com/drug-repurposing",
-                date="Unknown",
-                authors=[],
-            ),
-            relevance=0.72,
-        ),
-    ]
-
-
-# Global timeout for integration tests to prevent hanging
-@pytest.fixture(scope="session", autouse=True)
-def integration_test_timeout():
-    """Set default timeout for integration tests."""
-    # This fixture runs automatically for all tests
-    # Individual tests can override with asyncio.wait_for
-    pass
-
-
-@pytest.fixture(autouse=True)
-def default_to_huggingface(monkeypatch):
-    """Ensure tests default to HuggingFace provider unless explicitly overridden.
-    
-    This prevents tests from requiring OpenAI/Anthropic API keys.
-    Tests can override by setting LLM_PROVIDER in their environment or mocking settings.
-    """
-    # Only set if not already set (allows tests to override)
-    if "LLM_PROVIDER" not in os.environ:
-        monkeypatch.setenv("LLM_PROVIDER", "huggingface")
-    
-    # Set a dummy HF_TOKEN if not set (prevents errors, but tests should mock actual API calls)
-    if "HF_TOKEN" not in os.environ:
-        monkeypatch.setenv("HF_TOKEN", "dummy_token_for_testing")
-    
-    # Unset OpenAI/Anthropic keys to prevent fallback (unless explicitly set for specific tests)
-    # This ensures get_model() uses HuggingFace
-    if "OPENAI_API_KEY" in os.environ and os.environ.get("OPENAI_API_KEY"):
-        # Only unset if it's not explicitly needed (tests can set it if needed)
-        monkeypatch.delenv("OPENAI_API_KEY", raising=False)
-    if "ANTHROPIC_API_KEY" in os.environ and os.environ.get("ANTHROPIC_API_KEY"):
-        monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
-
-
-@pytest.fixture
-def mock_hf_model():
-    """Create a real HuggingFace model instance for testing.
-    
-    This fixture provides a real HuggingFaceModel instance that uses
-    the HF API/client. The InferenceClient is mocked to prevent real API calls.
-    """
-    from pydantic_ai.models.huggingface import HuggingFaceModel
-    from pydantic_ai.providers.huggingface import HuggingFaceProvider
-    
-    # Create a real HuggingFace model with dummy token
-    # The InferenceClient will be mocked by auto_mock_hf_inference_client
-    provider = HuggingFaceProvider(api_key="dummy_token_for_testing")
-    model = HuggingFaceModel("meta-llama/Llama-3.1-8B-Instruct", provider=provider)
-    return model
-
-
-@pytest.fixture(autouse=True)
-def auto_mock_hf_inference_client(request):
-    """Automatically mock HuggingFace InferenceClient to prevent real API calls.
-    
-    This fixture runs automatically for all tests (except OpenAI tests) and
-    mocks the InferenceClient so tests use HuggingFace models but don't make
-    real API calls. This allows tests to use the actual HF model/client setup
-    without requiring API keys or making network requests.
-    
-    Tests marked with @pytest.mark.openai will skip this fixture.
-    Tests can override by explicitly patching InferenceClient themselves.
-    """
-    # Skip auto-mocking for OpenAI tests
-    if "openai" in request.keywords:
-        return
-    
-    # Mock InferenceClient to prevent real API calls
-    # This allows get_model() to create real HuggingFaceModel instances
-    # but prevents actual network requests
-    mock_client = MagicMock()
-    mock_client.text_generation = AsyncMock(return_value="Mocked response")
-    mock_client.chat_completion = AsyncMock(return_value={"choices": [{"message": {"content": "Mocked response"}}]})
-    
-    # Patch InferenceClient at its source (huggingface_hub)
-    # This will affect all imports of InferenceClient, including in pydantic_ai
-    inference_client_patch = patch("huggingface_hub.InferenceClient", return_value=mock_client)
-    inference_client_patch.start()
-    
-    yield
-    
-    # Stop patch
-    inference_client_patch.stop()
\ No newline at end of file
diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/integration/test_deep_research.py b/tests/integration/test_deep_research.py
deleted file mode 100644
index b7bf173b23d2bfc160a34d41e0663cd85812c17d..0000000000000000000000000000000000000000
--- a/tests/integration/test_deep_research.py
+++ /dev/null
@@ -1,352 +0,0 @@
-"""Integration tests for deep research flow.
-
-Tests the complete deep research pattern: plan → parallel loops → synthesis.
-"""
-
-from unittest.mock import AsyncMock, patch
-
-import pytest
-
-from src.middleware.state_machine import init_workflow_state
-from src.orchestrator.research_flow import DeepResearchFlow
-from src.utils.models import ReportPlan, ReportPlanSection
-
-
-@pytest.mark.integration
-class TestDeepResearchFlow:
-    """Integration tests for DeepResearchFlow."""
-
-    @pytest.mark.asyncio
-    async def test_deep_research_creates_plan(self) -> None:
-        """Test that deep research creates a report plan."""
-        # Initialize workflow state
-        init_workflow_state()
-
-        flow = DeepResearchFlow(
-            max_iterations=2,
-            max_time_minutes=5,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Mock the planner agent to return a simple plan
-        mock_plan = ReportPlan(
-            background_context="Test background context",
-            report_outline=[
-                ReportPlanSection(
-                    title="Section 1",
-                    key_question="What is the first question?",
-                ),
-                ReportPlanSection(
-                    title="Section 2",
-                    key_question="What is the second question?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        flow.planner_agent.run = AsyncMock(return_value=mock_plan)
-
-        # Mock the iterative research flows to return simple drafts
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            return f"# Draft for: {query}\n\nThis is a test draft."
-
-        # Mock the long writer to return a simple report
-        flow.long_writer_agent.write_report = AsyncMock(
-            return_value="# Test Report\n\n## Section 1\n\nDraft 1\n\n## Section 2\n\nDraft 2"
-        )
-
-        # We can't easily mock the IterativeResearchFlow.run() without more setup
-        # So we'll test the plan creation separately
-        plan = await flow._build_report_plan("Test query")
-
-        assert isinstance(plan, ReportPlan)
-        assert plan.report_title == "Test Report"
-        assert len(plan.report_outline) == 2
-        assert plan.report_outline[0].title == "Section 1"
-
-    @pytest.mark.asyncio
-    async def test_deep_research_parallel_loops_state_synchronization(self) -> None:
-        """Test that parallel loops properly synchronize state."""
-        # Initialize workflow state
-        state = init_workflow_state()
-
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Create a simple report plan
-        report_plan = ReportPlan(
-            background_context="Test background",
-            report_outline=[
-                ReportPlanSection(
-                    title="Section 1",
-                    key_question="Question 1?",
-                ),
-                ReportPlanSection(
-                    title="Section 2",
-                    key_question="Question 2?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        # Mock iterative research flows to add evidence to state
-        from src.utils.models import Citation, Evidence
-
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            # Add evidence to state to test synchronization
-            ev = Evidence(
-                content=f"Evidence for {query}",
-                citation=Citation(
-                    source="pubmed",
-                    title=f"Title for {query}",
-                    url=f"https://example.com/{query.replace('?', '').replace(' ', '_')}",
-                    date="2024-01-01",
-                ),
-            )
-            state.add_evidence([ev])
-            return f"# Draft: {query}\n\nTest content."
-
-        # Patch IterativeResearchFlow.run
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow.run",
-            side_effect=mock_iterative_run,
-        ):
-            section_drafts = await flow._run_research_loops(report_plan)
-
-        # Verify parallel execution
-        assert len(section_drafts) == 2
-        assert "Question 1" in section_drafts[0]
-        assert "Question 2" in section_drafts[1]
-
-        # Verify state has evidence from both sections
-        # Note: In real execution, evidence would be synced via WorkflowManager
-        # This test verifies the structure works
-
-    @pytest.mark.asyncio
-    async def test_deep_research_synthesizes_final_report(self) -> None:
-        """Test that deep research synthesizes final report from section drafts."""
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-            use_long_writer=True,
-        )
-
-        # Create report plan
-        report_plan = ReportPlan(
-            background_context="Test background",
-            report_outline=[
-                ReportPlanSection(
-                    title="Introduction",
-                    key_question="What is the topic?",
-                ),
-                ReportPlanSection(
-                    title="Conclusion",
-                    key_question="What are the conclusions?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        # Create section drafts
-        section_drafts = [
-            "# Introduction\n\nThis is the introduction section.",
-            "# Conclusion\n\nThis is the conclusion section.",
-        ]
-
-        # Mock long writer
-        flow.long_writer_agent.write_report = AsyncMock(
-            return_value="# Test Report\n\n## Introduction\n\nContent\n\n## Conclusion\n\nContent"
-        )
-
-        final_report = await flow._create_final_report("Test query", report_plan, section_drafts)
-
-        assert isinstance(final_report, str)
-        assert "Test Report" in final_report
-        # Verify long writer was called with correct parameters
-        flow.long_writer_agent.write_report.assert_called_once()
-        call_args = flow.long_writer_agent.write_report.call_args
-        assert call_args.kwargs["original_query"] == "Test query"
-        assert call_args.kwargs["report_title"] == "Test Report"
-        assert len(call_args.kwargs["report_draft"].sections) == 2
-
-    @pytest.mark.asyncio
-    async def test_deep_research_agent_chains_full_flow(self) -> None:
-        """Test full deep research flow with agent chains (mocked)."""
-        # Initialize workflow state
-        init_workflow_state()
-
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Mock all agents
-        mock_plan = ReportPlan(
-            background_context="Background",
-            report_outline=[
-                ReportPlanSection(
-                    title="Section 1",
-                    key_question="Question 1?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        flow.planner_agent.run = AsyncMock(return_value=mock_plan)
-
-        # Mock iterative research
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            return f"# Draft\n\nAnswer to {query}"
-
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow.run",
-            side_effect=mock_iterative_run,
-        ):
-            flow.long_writer_agent.write_report = AsyncMock(
-                return_value="# Test Report\n\n## Section 1\n\nDraft content"
-            )
-
-            # Run the full flow
-            result = await flow._run_with_chains("Test query")
-
-        assert isinstance(result, str)
-        assert "Test Report" in result
-        flow.planner_agent.run.assert_called_once()
-        flow.long_writer_agent.write_report.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_deep_research_handles_multiple_sections(self) -> None:
-        """Test that deep research handles multiple sections correctly."""
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Create plan with multiple sections
-        report_plan = ReportPlan(
-            background_context="Background",
-            report_outline=[
-                ReportPlanSection(
-                    title=f"Section {i}",
-                    key_question=f"Question {i}?",
-                )
-                for i in range(5)  # 5 sections
-            ],
-            report_title="Multi-Section Report",
-        )
-
-        # Mock iterative research to return unique drafts
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            section_num = query.split()[-1].replace("?", "")
-            return f"# Section {section_num} Draft\n\nContent for section {section_num}"
-
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow.run",
-            side_effect=mock_iterative_run,
-        ):
-            section_drafts = await flow._run_research_loops(report_plan)
-
-        # Verify all sections were processed
-        assert len(section_drafts) == 5
-        for i, draft in enumerate(section_drafts):
-            assert f"Section {i}" in draft or f"section {i}" in draft.lower()
-
-    @pytest.mark.asyncio
-    async def test_deep_research_workflow_manager_integration(self) -> None:
-        """Test that deep research properly uses WorkflowManager."""
-
-        # Initialize workflow state
-        init_workflow_state()
-
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Create report plan
-        report_plan = ReportPlan(
-            background_context="Background",
-            report_outline=[
-                ReportPlanSection(
-                    title="Section 1",
-                    key_question="Question 1?",
-                ),
-                ReportPlanSection(
-                    title="Section 2",
-                    key_question="Question 2?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        # Mock iterative research
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            return f"# Draft: {query}"
-
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow.run",
-            side_effect=mock_iterative_run,
-        ):
-            section_drafts = await flow._run_research_loops(report_plan)
-
-        # Verify WorkflowManager was used (section_drafts should be returned)
-        assert len(section_drafts) == 2
-        # Each draft should be a string
-        assert all(isinstance(draft, str) for draft in section_drafts)
-
-    @pytest.mark.asyncio
-    async def test_deep_research_state_initialization(self) -> None:
-        """Test that deep research properly initializes workflow state."""
-        flow = DeepResearchFlow(
-            max_iterations=1,
-            max_time_minutes=2,
-            verbose=False,
-            use_graph=False,
-        )
-
-        # Mock the planner
-        mock_plan = ReportPlan(
-            background_context="Background",
-            report_outline=[
-                ReportPlanSection(
-                    title="Section 1",
-                    key_question="Question 1?",
-                ),
-            ],
-            report_title="Test Report",
-        )
-
-        flow.planner_agent.run = AsyncMock(return_value=mock_plan)
-
-        # Mock iterative research
-        async def mock_iterative_run(query: str, **kwargs: dict) -> str:
-            return "# Draft"
-
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow.run",
-            side_effect=mock_iterative_run,
-        ):
-            flow.long_writer_agent.write_report = AsyncMock(return_value="# Test Report\n\nContent")
-
-            # Run with chains - should initialize state
-            # Note: _run_with_chains handles missing embedding service gracefully
-            await flow._run_with_chains("Test query")
-
-            # Verify state was initialized (get_workflow_state should not raise)
-            from src.middleware.state_machine import get_workflow_state
-
-            state = get_workflow_state()
-            assert state is not None
diff --git a/tests/integration/test_dual_mode_e2e.py b/tests/integration/test_dual_mode_e2e.py
deleted file mode 100644
index 8756b45ad72d352fd43e8502ab17297c4c8afbdc..0000000000000000000000000000000000000000
--- a/tests/integration/test_dual_mode_e2e.py
+++ /dev/null
@@ -1,84 +0,0 @@
-"""End-to-End Integration Tests for Dual-Mode Architecture."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-pytestmark = [pytest.mark.integration, pytest.mark.slow]
-
-from src.orchestrator_factory import create_orchestrator
-from src.utils.models import Citation, Evidence, OrchestratorConfig
-
-
-@pytest.fixture
-def mock_search_handler():
-    handler = MagicMock()
-    handler.execute = AsyncMock(
-        return_value=[
-            Evidence(
-                citation=Citation(
-                    title="Test Paper", url="http://test", date="2024", source="pubmed"
-                ),
-                content="Metformin increases lifespan in mice.",
-            )
-        ]
-    )
-    return handler
-
-
-@pytest.fixture
-def mock_judge_handler():
-    handler = MagicMock()
-    # Mock return value of assess
-    assessment = MagicMock()
-    assessment.sufficient = True
-    assessment.recommendation = "synthesize"
-    handler.assess = AsyncMock(return_value=assessment)
-    return handler
-
-
-@pytest.mark.asyncio
-async def test_simple_mode_e2e(mock_search_handler, mock_judge_handler):
-    """Test Simple Mode Orchestration flow."""
-    orch = create_orchestrator(
-        search_handler=mock_search_handler,
-        judge_handler=mock_judge_handler,
-        mode="simple",
-        config=OrchestratorConfig(max_iterations=1),
-    )
-
-    # Run
-    results = []
-    async for event in orch.run("Test query"):
-        results.append(event)
-
-    assert len(results) > 0
-    assert mock_search_handler.execute.called
-    assert mock_judge_handler.assess.called
-
-
-@pytest.mark.asyncio
-async def test_advanced_mode_explicit_instantiation():
-    """Test explicit Advanced Mode instantiation (not auto-detect).
-
-    This tests the explicit mode="advanced" path, verifying that
-    MagenticOrchestrator can be instantiated when explicitly requested.
-    The settings patch ensures any internal checks pass.
-    """
-    with patch("src.orchestrator_factory.settings") as mock_settings:
-        # Settings patch ensures factory checks pass (even though mode is explicit)
-        # Mock to allow any LLM key (HuggingFace preferred)
-        mock_settings.has_any_llm_key = True
-        mock_settings.has_huggingface_key = True
-
-        with patch("src.agents.magentic_agents.OpenAIChatClient"):
-            # Mock agent creation to avoid real API calls during init
-            with (
-                patch("src.orchestrator_magentic.create_search_agent"),
-                patch("src.orchestrator_magentic.create_judge_agent"),
-                patch("src.orchestrator_magentic.create_hypothesis_agent"),
-                patch("src.orchestrator_magentic.create_report_agent"),
-            ):
-                # Explicit mode="advanced" - tests the explicit path, not auto-detect
-                orch = create_orchestrator(mode="advanced")
-                assert orch is not None
diff --git a/tests/integration/test_huggingface_agent_framework.py b/tests/integration/test_huggingface_agent_framework.py
deleted file mode 100644
index c23634ee52919f3a4e5bebf06540552a6ea7c70c..0000000000000000000000000000000000000000
--- a/tests/integration/test_huggingface_agent_framework.py
+++ /dev/null
@@ -1,187 +0,0 @@
-"""Integration tests for agent-framework with HuggingFace ChatClient.
-
-These tests verify that agent-framework works correctly with HuggingFace
-InferenceClient, including function calling support.
-
-Marked with @pytest.mark.huggingface and @pytest.mark.integration.
-"""
-
-import os
-
-import pytest
-
-# Skip all tests if agent_framework not installed (optional dep)
-pytest.importorskip("agent_framework")
-
-from src.agents.magentic_agents import (
-    create_hypothesis_agent,
-    create_judge_agent,
-    create_report_agent,
-    create_search_agent,
-)
-from src.utils.huggingface_chat_client import HuggingFaceChatClient
-from src.utils.llm_factory import get_chat_client_for_agent, get_huggingface_chat_client
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestHuggingFaceAgentFramework:
-    """Integration tests for agent-framework with HuggingFace."""
-
-    @pytest.fixture
-    def hf_client(self):
-        """Create HuggingFace chat client for testing."""
-        api_key = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
-        if not api_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-        return HuggingFaceChatClient(
-            model_name="meta-llama/Llama-3.1-8B-Instruct",
-            api_key=api_key,
-            provider="auto",
-        )
-
-    @pytest.mark.asyncio
-    async def test_huggingface_chat_client_basic(self, hf_client):
-        """Test basic chat completion with HuggingFace client."""
-        import asyncio
-
-        messages = [
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": "Say 'Hello, world!' and nothing else."},
-        ]
-
-        # Add timeout to prevent hanging
-        response = await asyncio.wait_for(
-            hf_client.chat_completion(messages=messages, max_tokens=50),
-            timeout=60.0,  # 60 second timeout
-        )
-
-        assert response is not None
-        assert hasattr(response, "choices")
-        assert len(response.choices) > 0
-        assert response.choices[0].message.role == "assistant"
-        assert response.choices[0].message.content is not None
-        assert "hello" in response.choices[0].message.content.lower()
-
-    @pytest.mark.asyncio
-    async def test_huggingface_chat_client_with_tools(self, hf_client):
-        """Test function calling with HuggingFace client."""
-        messages = [
-            {
-                "role": "system",
-                "content": "You are a helpful assistant. Use tools when appropriate.",
-            },
-            {
-                "role": "user",
-                "content": "Search PubMed for information about metformin and Alzheimer's disease.",
-            },
-        ]
-
-        tools = [
-            {
-                "type": "function",
-                "function": {
-                    "name": "search_pubmed",
-                    "description": "Search PubMed for biomedical research papers",
-                    "parameters": {
-                        "type": "object",
-                        "properties": {
-                            "query": {
-                                "type": "string",
-                                "description": "Search keywords",
-                            },
-                            "max_results": {
-                                "type": "integer",
-                                "description": "Maximum results to return",
-                                "default": 10,
-                            },
-                        },
-                        "required": ["query"],
-                    },
-                },
-            },
-        ]
-
-        import asyncio
-
-        # Add timeout to prevent hanging
-        response = await asyncio.wait_for(
-            hf_client.chat_completion(
-                messages=messages,
-                tools=tools,
-                tool_choice="auto",
-                max_tokens=200,
-            ),
-            timeout=120.0,  # 120 second timeout for function calling
-        )
-
-        assert response is not None
-        assert hasattr(response, "choices")
-        assert len(response.choices) > 0
-
-        # Check if tool calls are present (may or may not be, depending on model)
-        message = response.choices[0].message
-        if message.tool_calls:
-            # Model decided to use tools
-            assert len(message.tool_calls) > 0
-            tool_call = message.tool_calls[0]
-            assert hasattr(tool_call, "function")
-            assert tool_call.function.name == "search_pubmed"
-
-    @pytest.mark.asyncio
-    async def test_search_agent_with_huggingface(self, hf_client):
-        """Test SearchAgent with HuggingFace client."""
-        agent = create_search_agent(chat_client=hf_client)
-
-        # Test that agent is created successfully
-        assert agent is not None
-        assert agent.name == "SearchAgent"
-        assert agent.chat_client == hf_client
-
-    @pytest.mark.asyncio
-    async def test_judge_agent_with_huggingface(self, hf_client):
-        """Test JudgeAgent with HuggingFace client."""
-        agent = create_judge_agent(chat_client=hf_client)
-
-        assert agent is not None
-        assert agent.name == "JudgeAgent"
-        assert agent.chat_client == hf_client
-
-    @pytest.mark.asyncio
-    async def test_hypothesis_agent_with_huggingface(self, hf_client):
-        """Test HypothesisAgent with HuggingFace client."""
-        agent = create_hypothesis_agent(chat_client=hf_client)
-
-        assert agent is not None
-        assert agent.name == "HypothesisAgent"
-        assert agent.chat_client == hf_client
-
-    @pytest.mark.asyncio
-    async def test_report_agent_with_huggingface(self, hf_client):
-        """Test ReportAgent with HuggingFace client."""
-        agent = create_report_agent(chat_client=hf_client)
-
-        assert agent is not None
-        assert agent.name == "ReportAgent"
-        assert agent.chat_client == hf_client
-        # ReportAgent should have tools
-        assert len(agent.tools) > 0
-
-    @pytest.mark.asyncio
-    async def test_get_chat_client_for_agent_prefers_huggingface(self):
-        """Test that factory function prefers HuggingFace when available."""
-        # This test verifies the factory logic
-        # If HF_TOKEN is available, it should return HuggingFace client
-        if os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY"):
-            client = get_chat_client_for_agent()
-            assert isinstance(client, HuggingFaceChatClient)
-        else:
-            # Skip if no HF token available
-            pytest.skip("HF_TOKEN not available for testing")
-
-    @pytest.mark.asyncio
-    async def test_get_huggingface_chat_client(self):
-        """Test HuggingFace chat client factory function."""
-        client = get_huggingface_chat_client()
-        assert isinstance(client, HuggingFaceChatClient)
-        assert client.model_name is not None
diff --git a/tests/integration/test_mcp_tools_live.py b/tests/integration/test_mcp_tools_live.py
deleted file mode 100644
index a79c4a7dab9fb8a960d146c513231a3468680fa2..0000000000000000000000000000000000000000
--- a/tests/integration/test_mcp_tools_live.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""Integration tests for MCP tool wrappers with live API calls."""
-
-import pytest
-
-
-class TestMCPToolsLive:
-    """Integration tests for MCP tools against live APIs (PubMed, etc.)."""
-
-    @pytest.mark.integration
-    @pytest.mark.asyncio
-    async def test_mcp_tools_work_end_to_end(self) -> None:
-        """Test that MCP tools execute real searches."""
-        from src.mcp_tools import search_pubmed
-
-        result = await search_pubmed("metformin diabetes", 3)
-
-        assert isinstance(result, str)
-        assert "PubMed Results" in result
-        # Should have actual content (not just "no results")
-        # Typical queries should return something.
-        # The wrapper returns "No PubMed results found" string if empty.
-
-        if "No PubMed results found" not in result:
-            assert len(result) > 10
diff --git a/tests/integration/test_middleware_integration.py b/tests/integration/test_middleware_integration.py
deleted file mode 100644
index b5fb292fe7c8d5b16e87bcb251c1b425c01e0bdf..0000000000000000000000000000000000000000
--- a/tests/integration/test_middleware_integration.py
+++ /dev/null
@@ -1,245 +0,0 @@
-"""Integration tests for middleware components.
-
-Tests the interaction between WorkflowState, WorkflowManager, and BudgetTracker.
-"""
-
-import pytest
-
-from src.middleware.budget_tracker import BudgetTracker
-from src.middleware.state_machine import init_workflow_state
-from src.middleware.workflow_manager import WorkflowManager
-from src.utils.models import Citation, Evidence
-
-
-@pytest.mark.integration
-class TestMiddlewareIntegration:
-    """Integration tests for middleware components."""
-
-    @pytest.mark.asyncio
-    async def test_state_manager_integration(self) -> None:
-        """Test WorkflowState and WorkflowManager integration."""
-        # Initialize state
-        state = init_workflow_state()
-        manager = WorkflowManager()
-
-        # Create a loop
-        loop = await manager.add_loop("test_loop", "Test query")
-
-        # Add evidence to loop
-        ev = Evidence(
-            content="Test evidence",
-            citation=Citation(
-                source="pubmed", title="Test Title", url="https://example.com/1", date="2024-01-01"
-            ),
-        )
-        await manager.add_loop_evidence("test_loop", [ev])
-
-        # Sync to global state
-        await manager.sync_loop_evidence_to_state("test_loop")
-
-        # Verify state has evidence
-        assert len(state.evidence) == 1
-        assert state.evidence[0].content == "Test evidence"
-
-        # Verify loop still has evidence
-        loop = await manager.get_loop("test_loop")
-        assert loop is not None
-        assert len(loop.evidence) == 1
-
-    @pytest.mark.asyncio
-    async def test_budget_tracker_with_workflow_manager(self) -> None:
-        """Test BudgetTracker integration with WorkflowManager."""
-        manager = WorkflowManager()
-        tracker = BudgetTracker()
-
-        # Create loop and budget
-        await manager.add_loop("budget_loop", "Test query")
-        tracker.create_budget("budget_loop", tokens_limit=1000, time_limit_seconds=60.0)
-        tracker.start_timer("budget_loop")
-
-        # Simulate some work
-        tracker.add_tokens("budget_loop", 500)
-        await manager.increment_loop_iteration("budget_loop")
-        tracker.increment_iteration("budget_loop")
-
-        # Check budget
-        can_continue = tracker.can_continue("budget_loop")
-        assert can_continue is True
-
-        # Exceed budget
-        tracker.add_tokens("budget_loop", 600)  # Total: 1100 > 1000
-        can_continue = tracker.can_continue("budget_loop")
-        assert can_continue is False
-
-        # Update loop status based on budget
-        if not can_continue:
-            await manager.update_loop_status("budget_loop", "cancelled")
-
-        loop = await manager.get_loop("budget_loop")
-        assert loop is not None
-        assert loop.status == "cancelled"
-
-    @pytest.mark.asyncio
-    async def test_parallel_loops_with_budget_tracking(self) -> None:
-        """Test parallel loops with budget tracking."""
-
-        async def mock_research_loop(config: dict) -> str:
-            """Mock research loop function."""
-            loop_id = config.get("loop_id", "unknown")
-            tracker = BudgetTracker()
-            manager = WorkflowManager()
-
-            # Get or create budget
-            budget = tracker.get_budget(loop_id)
-            if not budget:
-                tracker.create_budget(loop_id, tokens_limit=500, time_limit_seconds=10.0)
-                tracker.start_timer(loop_id)
-
-            # Simulate work
-            tracker.add_tokens(loop_id, 100)
-            await manager.increment_loop_iteration(loop_id)
-            tracker.increment_iteration(loop_id)
-
-            # Check if can continue
-            if not tracker.can_continue(loop_id):
-                await manager.update_loop_status(loop_id, "cancelled")
-                return f"Cancelled: {loop_id}"
-
-            await manager.update_loop_status(loop_id, "completed")
-            return f"Completed: {loop_id}"
-
-        manager = WorkflowManager()
-        tracker = BudgetTracker()
-
-        # Create budgets for all loops
-        configs = [
-            {"loop_id": "loop1", "query": "Query 1"},
-            {"loop_id": "loop2", "query": "Query 2"},
-            {"loop_id": "loop3", "query": "Query 3"},
-        ]
-
-        for config in configs:
-            loop_id = config["loop_id"]
-            await manager.add_loop(loop_id, config["query"])
-            tracker.create_budget(loop_id, tokens_limit=500, time_limit_seconds=10.0)
-            tracker.start_timer(loop_id)
-
-        # Run loops in parallel
-        results = await manager.run_loops_parallel(configs, mock_research_loop)
-
-        # Verify all loops completed
-        assert len(results) == 3
-        for config in configs:
-            loop_id = config["loop_id"]
-            loop = await manager.get_loop(loop_id)
-            assert loop is not None
-            assert loop.status in ("completed", "cancelled")
-
-    @pytest.mark.asyncio
-    async def test_state_conversation_integration(self) -> None:
-        """Test WorkflowState conversation integration."""
-        state = init_workflow_state()
-
-        # Add iteration data
-        state.conversation.add_iteration()
-        state.conversation.set_latest_gap("Knowledge gap 1")
-        state.conversation.set_latest_tool_calls(["tool1", "tool2"])
-        state.conversation.set_latest_findings(["finding1", "finding2"])
-        state.conversation.set_latest_thought("Thought about findings")
-
-        # Verify conversation history
-        assert len(state.conversation.history) == 1
-        assert state.conversation.get_latest_gap() == "Knowledge gap 1"
-        assert len(state.conversation.get_latest_tool_calls()) == 2
-        assert len(state.conversation.get_latest_findings()) == 2
-
-        # Compile history
-        history_str = state.conversation.compile_conversation_history()
-        assert "Knowledge gap 1" in history_str
-        assert "tool1" in history_str
-        assert "finding1" in history_str
-        assert "Thought about findings" in history_str
-
-    @pytest.mark.asyncio
-    async def test_multiple_iterations_with_budget(self) -> None:
-        """Test multiple iterations with budget enforcement."""
-        manager = WorkflowManager()
-        tracker = BudgetTracker()
-
-        loop_id = "iterative_loop"
-        await manager.add_loop(loop_id, "Iterative query")
-        tracker.create_budget(loop_id, tokens_limit=1000, iterations_limit=5)
-        tracker.start_timer(loop_id)
-
-        # Simulate multiple iterations
-        for _ in range(7):  # Try 7 iterations, but limit is 5
-            tracker.add_tokens(loop_id, 100)
-            await manager.increment_loop_iteration(loop_id)
-            tracker.increment_iteration(loop_id)
-
-            can_continue = tracker.can_continue(loop_id)
-            if not can_continue:
-                await manager.update_loop_status(loop_id, "cancelled")
-                break
-
-        loop = await manager.get_loop(loop_id)
-        assert loop is not None
-        # Should be cancelled after 5 iterations
-        assert loop.status == "cancelled"
-        assert loop.iteration_count == 5
-
-    @pytest.mark.asyncio
-    async def test_evidence_deduplication_across_loops(self) -> None:
-        """Test evidence deduplication when syncing from multiple loops."""
-        state = init_workflow_state()
-        manager = WorkflowManager()
-
-        # Create two loops with same evidence
-        ev1 = Evidence(
-            content="Same content",
-            citation=Citation(
-                source="pubmed", title="Title", url="https://example.com/1", date="2024"
-            ),
-        )
-        ev2 = Evidence(
-            content="Different content",
-            citation=Citation(
-                source="pubmed", title="Title 2", url="https://example.com/2", date="2024"
-            ),
-        )
-
-        # Add to loop1
-        await manager.add_loop("loop1", "Query 1")
-        await manager.add_loop_evidence("loop1", [ev1, ev2])
-        await manager.sync_loop_evidence_to_state("loop1")
-
-        # Add duplicate to loop2
-        await manager.add_loop("loop2", "Query 2")
-        ev1_duplicate = Evidence(
-            content="Same content (duplicate)",
-            citation=Citation(
-                source="pubmed", title="Title Duplicate", url="https://example.com/1", date="2024"
-            ),
-        )
-        await manager.add_loop_evidence("loop2", [ev1_duplicate])
-        await manager.sync_loop_evidence_to_state("loop2")
-
-        # State should have only 2 unique items (deduplicated by URL)
-        assert len(state.evidence) == 2
-
-    @pytest.mark.asyncio
-    async def test_global_budget_enforcement(self) -> None:
-        """Test global budget enforcement across all loops."""
-        tracker = BudgetTracker()
-        tracker.set_global_budget(tokens_limit=2000, time_limit_seconds=60.0)
-
-        # Simulate multiple loops consuming global budget
-        tracker.add_global_tokens(500)  # Loop 1
-        tracker.add_global_tokens(600)  # Loop 2
-        tracker.add_global_tokens(700)  # Loop 3
-        tracker.add_global_tokens(300)  # Loop 4 - would exceed
-
-        global_budget = tracker.get_global_budget()
-        assert global_budget is not None
-        assert global_budget.tokens_used == 2100
-        assert global_budget.is_exceeded() is True
diff --git a/tests/integration/test_modal.py b/tests/integration/test_modal.py
deleted file mode 100644
index eefc4627ac1b86df989f775b8245a44e443133c8..0000000000000000000000000000000000000000
--- a/tests/integration/test_modal.py
+++ /dev/null
@@ -1,67 +0,0 @@
-"""Integration tests for Modal (requires credentials and modal package)."""
-
-import pytest
-
-from src.utils.config import settings
-
-# Check if any LLM API key is available (HuggingFace preferred, OpenAI/Anthropic fallback)
-_llm_available = settings.has_any_llm_key
-
-# Check if modal package is installed
-try:
-    import modal  # noqa: F401
-
-    _modal_installed = True
-except ImportError:
-    _modal_installed = False
-
-
-@pytest.mark.integration
-@pytest.mark.skipif(not _modal_installed, reason="Modal package not installed")
-@pytest.mark.skipif(not settings.modal_available, reason="Modal credentials not configured")
-class TestModalIntegration:
-    """Integration tests requiring Modal credentials."""
-
-    @pytest.mark.asyncio
-    async def test_sandbox_executes_code(self) -> None:
-        """Modal sandbox should execute Python code."""
-        import asyncio
-        from functools import partial
-
-        from src.tools.code_execution import get_code_executor
-
-        executor = get_code_executor()
-        code = "import pandas as pd; print(pd.DataFrame({'a': [1,2,3]})['a'].sum())"
-
-        loop = asyncio.get_running_loop()
-        result = await loop.run_in_executor(None, partial(executor.execute, code, timeout=30))
-
-        assert result["success"]
-        assert "6" in result["stdout"]
-
-    @pytest.mark.asyncio
-    @pytest.mark.skipif(not _llm_available, reason="LLM API key not configured")
-    async def test_statistical_analyzer_works(self) -> None:
-        """StatisticalAnalyzer should work end-to-end (requires Modal + LLM)."""
-        from src.services.statistical_analyzer import get_statistical_analyzer
-        from src.utils.models import Citation, Evidence
-
-        evidence = [
-            Evidence(
-                content="Drug shows 40% improvement in trial.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Test",
-                    url="https://test.com",
-                    date="2024-01-01",
-                    authors=["Test"],
-                ),
-                relevance=0.9,
-            )
-        ]
-
-        analyzer = get_statistical_analyzer()
-        result = await analyzer.analyze("test drug efficacy", evidence)
-
-        assert result.verdict in ["SUPPORTED", "REFUTED", "INCONCLUSIVE"]
-        assert 0.0 <= result.confidence <= 1.0
diff --git a/tests/integration/test_parallel_loops_judge.py b/tests/integration/test_parallel_loops_judge.py
deleted file mode 100644
index 3671e0bf00d28b27451404bb0d29dc1916b6ba70..0000000000000000000000000000000000000000
--- a/tests/integration/test_parallel_loops_judge.py
+++ /dev/null
@@ -1,396 +0,0 @@
-"""Integration tests for Phase 7: Parallel loops with judge-based completion.
-
-These tests verify that WorkflowManager can coordinate parallel research loops
-and use the judge to determine when loops should complete.
-"""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.middleware.workflow_manager import WorkflowManager
-from src.orchestrator.research_flow import IterativeResearchFlow
-from src.utils.models import Citation, Evidence, JudgeAssessment
-
-
-@pytest.fixture
-def mock_judge_handler():
-    """Create a mock judge handler."""
-    judge = MagicMock()
-    judge.assess = AsyncMock()
-    return judge
-
-
-@pytest.fixture
-def mock_iterative_flow():
-    """Create a mock iterative research flow."""
-    flow = MagicMock(spec=IterativeResearchFlow)
-    flow.run = AsyncMock(return_value="# Test Report\n\nContent here.")
-    return flow
-
-
-@pytest.mark.integration
-@pytest.mark.asyncio
-class TestParallelLoopsWithJudge:
-    """Tests for parallel loops with judge-based completion."""
-
-    async def test_get_loop_evidence(self):
-        """get_loop_evidence should return evidence from a loop."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        # Add evidence to the loop
-        evidence = [
-            Evidence(
-                content="Test evidence",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.8,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        # Retrieve evidence
-        retrieved_evidence = await manager.get_loop_evidence("loop1")
-        assert len(retrieved_evidence) == 1
-        assert retrieved_evidence[0].content == "Test evidence"
-
-    async def test_get_loop_evidence_returns_empty_for_missing_loop(self):
-        """get_loop_evidence should return empty list for non-existent loop."""
-        manager = WorkflowManager()
-        evidence = await manager.get_loop_evidence("nonexistent")
-        assert evidence == []
-
-    async def test_check_loop_completion_with_sufficient_evidence(self, mock_judge_handler):
-        """check_loop_completion should return True when judge says sufficient."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        # Add evidence
-        evidence = [
-            Evidence(
-                content="Comprehensive evidence",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.9,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        # Mock judge to say sufficient
-        from src.utils.models import AssessmentDetails
-
-        mock_judge_handler.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=5,
-                    mechanism_reasoning="Test mechanism reasoning that is long enough",
-                    clinical_evidence_score=5,
-                    clinical_reasoning="Test clinical reasoning that is long enough",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=True,
-                confidence=0.95,
-                recommendation="synthesize",
-                reasoning="Evidence is sufficient to provide a comprehensive answer.",
-            )
-        )
-
-        should_complete, reason = await manager.check_loop_completion(
-            "loop1", "Test query", mock_judge_handler
-        )
-
-        assert should_complete is True
-        assert "sufficient" in reason.lower() or "judge" in reason.lower()
-        assert mock_judge_handler.assess.called
-
-    async def test_check_loop_completion_with_insufficient_evidence(self, mock_judge_handler):
-        """check_loop_completion should return False when judge says insufficient."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        # Add minimal evidence
-        evidence = [
-            Evidence(
-                content="Minimal evidence",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.3,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        # Mock judge to say insufficient
-        from src.utils.models import AssessmentDetails
-
-        mock_judge_handler.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=3,
-                    mechanism_reasoning="Test mechanism reasoning that is long enough",
-                    clinical_evidence_score=3,
-                    clinical_reasoning="Test clinical reasoning that is long enough",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=False,
-                confidence=0.4,
-                recommendation="continue",
-                reasoning="Need more evidence to provide a comprehensive answer.",
-            )
-        )
-
-        should_complete, reason = await manager.check_loop_completion(
-            "loop1", "Test query", mock_judge_handler
-        )
-
-        assert should_complete is False
-        assert "judge" in reason.lower() or "evidence" in reason.lower()
-        assert mock_judge_handler.assess.called
-
-    async def test_check_loop_completion_with_no_evidence(self, mock_judge_handler):
-        """check_loop_completion should return False when no evidence exists."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        # Don't add any evidence
-
-        should_complete, reason = await manager.check_loop_completion(
-            "loop1", "Test query", mock_judge_handler
-        )
-
-        assert should_complete is False
-        assert "no evidence" in reason.lower() or "not" in reason.lower()
-        # Judge should not be called if no evidence
-        assert not mock_judge_handler.assess.called
-
-    async def test_check_loop_completion_handles_judge_error(self, mock_judge_handler):
-        """check_loop_completion should handle judge errors gracefully."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        evidence = [
-            Evidence(
-                content="Test evidence",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.8,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        # Mock judge to raise error
-        mock_judge_handler.assess = AsyncMock(side_effect=Exception("Judge error"))
-
-        should_complete, reason = await manager.check_loop_completion(
-            "loop1", "Test query", mock_judge_handler
-        )
-
-        assert should_complete is False
-        assert "error" in reason.lower() or "failed" in reason.lower()
-
-    async def test_parallel_loops_with_judge_early_termination(
-        self, mock_judge_handler, mock_iterative_flow
-    ):
-        """Parallel loops should terminate early when judge says sufficient."""
-        manager = WorkflowManager()
-
-        # Create multiple loops
-        loop_configs = [
-            {"loop_id": "loop1", "query": "Query 1"},
-            {"loop_id": "loop2", "query": "Query 2"},
-        ]
-
-        # Define loop function that extracts loop_func from config if needed
-        async def loop_func(config: dict) -> str:
-            return await mock_iterative_flow.run(config.get("query", ""))
-
-        # Add evidence to loop1 that will trigger early completion
-        await manager.add_loop("loop1", "Query 1")
-        evidence = [
-            Evidence(
-                content="Comprehensive evidence for query 1",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.95,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        # Mock judge to say sufficient for loop1
-        call_count = {"count": 0}
-
-        def mock_assess(query: str, evidence_list: list[Evidence]) -> JudgeAssessment:
-            from src.utils.models import AssessmentDetails
-
-            call_count["count"] += 1
-            if "Query 1" in query or len(evidence_list) > 0:
-                return JudgeAssessment(
-                    details=AssessmentDetails(
-                        mechanism_score=5,
-                        mechanism_reasoning="Test mechanism reasoning that is long enough",
-                        clinical_evidence_score=5,
-                        clinical_reasoning="Test clinical reasoning that is long enough",
-                        drug_candidates=[],
-                        key_findings=[],
-                    ),
-                    sufficient=True,
-                    confidence=0.95,
-                    recommendation="synthesize",
-                    reasoning="Sufficient evidence has been collected to answer the query.",
-                )
-            return JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=3,
-                    mechanism_reasoning="Test mechanism reasoning that is long enough",
-                    clinical_evidence_score=3,
-                    clinical_reasoning="Test clinical reasoning that is long enough",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=False,
-                confidence=0.5,
-                recommendation="continue",
-                reasoning="Need more evidence to provide a comprehensive answer.",
-            )
-
-        mock_judge_handler.assess = AsyncMock(side_effect=mock_assess)
-
-        # Run loops in parallel
-        with patch("src.middleware.workflow_manager.get_workflow_state") as mock_state:
-            mock_state_obj = MagicMock()
-            mock_state_obj.evidence = []
-            mock_state.return_value = mock_state_obj
-
-            results = await manager.run_loops_parallel(
-                loop_configs, loop_func=loop_func, judge_handler=mock_judge_handler
-            )
-
-            # Both loops should complete
-            assert len(results) == 2
-            assert all(isinstance(r, str) for r in results)
-
-    async def test_parallel_loops_aggregate_evidence(self, mock_judge_handler):
-        """Parallel loops should aggregate evidence from all loops."""
-        manager = WorkflowManager()
-
-        # Create loops
-        await manager.add_loop("loop1", "Query 1")
-        await manager.add_loop("loop2", "Query 2")
-
-        # Add evidence to each loop
-        evidence1 = [
-            Evidence(
-                content="Evidence from loop 1",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test 1",
-                    url="https://example.com/1",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.8,
-            )
-        ]
-        evidence2 = [
-            Evidence(
-                content="Evidence from loop 2",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test 2",
-                    url="https://example.com/2",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.9,
-            )
-        ]
-
-        await manager.add_loop_evidence("loop1", evidence1)
-        await manager.add_loop_evidence("loop2", evidence2)
-
-        # Get evidence from both loops
-        evidence1_retrieved = await manager.get_loop_evidence("loop1")
-        evidence2_retrieved = await manager.get_loop_evidence("loop2")
-
-        assert len(evidence1_retrieved) == 1
-        assert len(evidence2_retrieved) == 1
-        assert evidence1_retrieved[0].content == "Evidence from loop 1"
-        assert evidence2_retrieved[0].content == "Evidence from loop 2"
-
-    async def test_loop_status_updated_on_completion(self, mock_judge_handler):
-        """Loop status should be updated when judge determines completion."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Test query")
-
-        # Add sufficient evidence
-        evidence = [
-            Evidence(
-                content="Sufficient evidence",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.95,
-            )
-        ]
-        await manager.add_loop_evidence("loop1", evidence)
-
-        from src.utils.models import AssessmentDetails
-
-        mock_judge_handler.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=5,
-                    mechanism_reasoning="Test mechanism reasoning that is long enough",
-                    clinical_evidence_score=5,
-                    clinical_reasoning="Test clinical reasoning that is long enough",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=True,
-                confidence=0.95,
-                recommendation="synthesize",
-                reasoning="Complete evidence has been collected to answer the query.",
-            )
-        )
-
-        # Check completion (this should update status internally if implemented)
-        should_complete, _ = await manager.check_loop_completion(
-            "loop1", "Test query", mock_judge_handler
-        )
-
-        assert should_complete is True
-        # Status update would happen in run_loops_parallel, not in check_loop_completion
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        # Status might still be "pending" or "running" until run_loops_parallel updates it
diff --git a/tests/integration/test_rag_integration.py b/tests/integration/test_rag_integration.py
deleted file mode 100644
index 56f9339ccba35050904ca9a9bdb400df939994f3..0000000000000000000000000000000000000000
--- a/tests/integration/test_rag_integration.py
+++ /dev/null
@@ -1,443 +0,0 @@
-"""Integration tests for RAG integration.
-
-These tests use HuggingFace (default) and may make real API calls.
-Marked with @pytest.mark.integration and @pytest.mark.huggingface.
-"""
-
-import asyncio
-
-import pytest
-
-# Skip if sentence_transformers cannot be imported
-# Note: sentence-transformers is a required dependency, but may fail due to:
-# - Windows regex circular import bug
-# - PyTorch C extensions not loading properly
-try:
-    pytest.importorskip("sentence_transformers", exc_type=ImportError)
-except (ImportError, OSError) as e:
-    # Handle various import issues
-    error_msg = str(e).lower()
-    if "regex" in error_msg or "_regex" in error_msg:
-        pytest.skip(
-            "sentence_transformers import failed due to Windows regex circular import bug. "
-            "This is a known issue with the regex package on Windows. "
-            "Try: uv pip install --upgrade --force-reinstall regex",
-            allow_module_level=True,
-        )
-    elif "pytorch" in error_msg or "torch" in error_msg:
-        pytest.skip(
-            "sentence_transformers import failed due to PyTorch C extensions issue. "
-            "Try: uv pip install --upgrade --force-reinstall torch",
-            allow_module_level=True,
-        )
-    # Re-raise other import errors
-    raise
-
-from src.services.llamaindex_rag import get_rag_service
-from src.tools.rag_tool import create_rag_tool
-from src.tools.search_handler import SearchHandler
-from src.tools.tool_executor import execute_agent_task
-from src.utils.config import settings
-from src.utils.models import AgentTask, Citation, Evidence
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGServiceIntegration:
-    """Integration tests for LlamaIndexRAGService (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_rag_service_ingest_and_retrieve(self):
-        """RAG service should ingest and retrieve evidence."""
-        # HuggingFace works without API key for public models
-        # Use HuggingFace embeddings (default)
-        rag_service = get_rag_service(
-            collection_name="test_integration",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-
-        # Create sample evidence
-        evidence_list = [
-            Evidence(
-                content="Metformin is a first-line treatment for type 2 diabetes. It works by reducing glucose production in the liver and improving insulin sensitivity.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Metformin Mechanism of Action",
-                    url="https://pubmed.ncbi.nlm.nih.gov/12345678/",
-                    date="2024-01-15",
-                    authors=["Smith J", "Johnson M"],
-                ),
-                relevance=0.9,
-            ),
-            Evidence(
-                content="Recent studies suggest metformin may have neuroprotective effects in Alzheimer's disease models.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Metformin and Neuroprotection",
-                    url="https://pubmed.ncbi.nlm.nih.gov/12345679/",
-                    date="2024-02-20",
-                    authors=["Brown K", "Davis L"],
-                ),
-                relevance=0.85,
-            ),
-        ]
-
-        # Ingest evidence
-        rag_service.ingest_evidence(evidence_list)
-
-        # Retrieve evidence
-        results = rag_service.retrieve("metformin diabetes", top_k=2)
-
-        # Assert
-        assert len(results) > 0
-        assert any("metformin" in r["text"].lower() for r in results)
-        assert all("text" in r for r in results)
-        assert all("metadata" in r for r in results)
-
-        # Cleanup
-        rag_service.clear_collection()
-
-    @pytest.mark.asyncio
-    async def test_rag_service_query(self):
-        """RAG service should synthesize responses from ingested evidence."""
-        # Require HF_TOKEN for query synthesis (LLM is needed)
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace LLM query synthesis")
-        # Use HuggingFace LLM for query synthesis (default)
-        rag_service = get_rag_service(
-            collection_name="test_query",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-
-        # Ingest evidence
-        evidence_list = [
-            Evidence(
-                content="Python is a high-level programming language known for its simplicity and readability.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Python Programming",
-                    url="https://example.com/python",
-                    date="2024",
-                    authors=["Author"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Check if LLM is available (might fail if model not available via inference API)
-        if not rag_service._Settings.llm:
-            pytest.skip(
-                "HuggingFace LLM not available - model may not be accessible via inference API"
-            )
-
-        # Query with timeout
-        # Note: query() is synchronous, but we wrap it to prevent hanging
-        # If it takes too long, we'll get a timeout
-        loop = asyncio.get_event_loop()
-        try:
-            response = await asyncio.wait_for(
-                loop.run_in_executor(None, lambda: rag_service.query("What is Python?", top_k=1)),
-                timeout=120.0,  # 2 minute timeout
-            )
-
-            assert isinstance(response, str)
-            assert len(response) > 0
-            assert "python" in response.lower()
-        except Exception as e:
-            # If model is not available (404), skip the test
-            if "404" in str(e) or "Not Found" in str(e):
-                pytest.skip(f"HuggingFace model not available via inference API: {e}")
-            raise
-
-        # Cleanup
-        rag_service.clear_collection()
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGToolIntegration:
-    """Integration tests for RAGTool (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_rag_tool_search(self):
-        """RAGTool should search RAG service and return Evidence objects."""
-        # HuggingFace works without API key for public models
-        # Create RAG service and ingest evidence
-        rag_service = get_rag_service(
-            collection_name="test_rag_tool",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Machine learning is a subset of artificial intelligence.",
-                citation=Citation(
-                    source="pubmed",
-                    title="ML Basics",
-                    url="https://example.com/ml",
-                    date="2024",
-                    authors=["ML Expert"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Create RAG tool
-        tool = create_rag_tool(rag_service=rag_service)
-
-        # Search
-        results = await tool.search("machine learning", max_results=5)
-
-        # Assert
-        assert len(results) > 0
-        assert all(isinstance(e, Evidence) for e in results)
-        assert results[0].citation.source == "rag"
-        assert (
-            "machine learning" in results[0].content.lower()
-            or "artificial intelligence" in results[0].content.lower()
-        )
-
-        # Cleanup
-        rag_service.clear_collection()
-
-    @pytest.mark.asyncio
-    async def test_rag_tool_empty_collection(self):
-        """RAGTool should return empty list when collection is empty."""
-        # HuggingFace works without API key for public models
-        rag_service = get_rag_service(
-            collection_name="test_empty",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        rag_service.clear_collection()  # Ensure empty
-
-        tool = create_rag_tool(rag_service=rag_service)
-        results = await tool.search("any query")
-
-        assert results == []
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGAgentIntegration:
-    """Integration tests for RAGAgent in tool executor (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_rag_agent_execution(self):
-        """RAGAgent should execute and return ToolAgentOutput."""
-        # Require HF_TOKEN for query synthesis (LLM is needed for RAG query)
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace LLM query synthesis")
-        # Setup: Ingest evidence into RAG
-        rag_service = get_rag_service(
-            collection_name="test_rag_agent",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Deep learning uses neural networks with multiple layers. Neural networks are computational models inspired by biological neural networks.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Deep Learning",
-                    url="https://example.com/dl",
-                    date="2024",
-                    authors=["DL Researcher"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Create RAG tool with the same service instance to ensure same collection
-        from src.tools.rag_tool import RAGTool
-
-        rag_tool = RAGTool(rag_service=rag_service)
-
-        # Manually inject the RAG tool into the executor
-        # Since execute_agent_task uses a module-level RAG tool, we need to patch it
-        from unittest.mock import patch
-
-        from src.tools import tool_executor
-
-        # Patch the module-level _rag_tool variable
-        with patch.object(tool_executor, "_rag_tool", rag_tool):
-            # Execute RAGAgent task with timeout
-            task = AgentTask(
-                agent="RAGAgent",
-                query="deep learning",
-                gap="Need information about deep learning",
-            )
-
-            result = await asyncio.wait_for(
-                execute_agent_task(task),
-                timeout=120.0,  # 2 minute timeout
-            )
-
-        # Assert
-        assert result.output
-        # Check that the output contains relevant content (either from our evidence or general RAG results)
-        output_lower = result.output.lower()
-        has_relevant_content = (
-            "deep learning" in output_lower
-            or "neural network" in output_lower
-            or "neural" in output_lower
-            or "learning" in output_lower
-        )
-        assert has_relevant_content, (
-            f"Output should contain relevant content, got: {result.output[:200]}"
-        )
-        assert len(result.sources) > 0
-
-        # Cleanup
-        rag_service.clear_collection()
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGSearchHandlerIntegration:
-    """Integration tests for RAG in SearchHandler (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_search_handler_with_rag(self):
-        """SearchHandler should work with RAG tool included."""
-        # HuggingFace works without API key for public models
-        # Setup: Create RAG service and ingest some evidence
-        rag_service = get_rag_service(
-            collection_name="test_search_handler",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Test evidence for search handler integration.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Test Evidence",
-                    url="https://example.com/test",
-                    date="2024",
-                    authors=["Tester"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Create RAG tool with the same service instance to ensure same collection
-        rag_tool = create_rag_tool(rag_service=rag_service)
-
-        # Create SearchHandler with the custom RAG tool
-        handler = SearchHandler(
-            tools=[rag_tool],  # Use our RAG tool with the test's collection
-            include_rag=False,  # Don't add another RAG tool (we already added it)
-            auto_ingest_to_rag=False,  # Don't auto-ingest (already has data)
-        )
-
-        # Execute search
-        result = await handler.execute("test evidence", max_results_per_tool=5)
-
-        # Assert
-        assert result.total_found > 0
-        assert "rag" in result.sources_searched
-        assert any(e.citation.source == "rag" for e in result.evidence)
-
-        # Cleanup
-        rag_service.clear_collection()
-
-    @pytest.mark.asyncio
-    async def test_search_handler_auto_ingest(self):
-        """SearchHandler should auto-ingest evidence into RAG."""
-        # HuggingFace works without API key for public models
-        # Create empty RAG service
-        rag_service = get_rag_service(
-            collection_name="test_auto_ingest",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        rag_service.clear_collection()
-
-        # Create mock tool that returns evidence
-        from unittest.mock import AsyncMock
-
-        mock_tool = AsyncMock()
-        mock_tool.name = "pubmed"
-        mock_tool.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Evidence to be ingested",
-                    citation=Citation(
-                        source="pubmed",
-                        title="Test",
-                        url="https://example.com",
-                        date="2024",
-                        authors=[],
-                    ),
-                )
-            ]
-        )
-
-        # Create handler with auto-ingest enabled
-        handler = SearchHandler(
-            tools=[mock_tool],
-            include_rag=False,  # Don't include RAG as search tool
-            auto_ingest_to_rag=True,
-        )
-        handler._rag_service = rag_service  # Inject RAG service
-
-        # Execute search
-        await handler.execute("test query")
-
-        # Verify evidence was ingested
-        rag_results = rag_service.retrieve("Evidence to be ingested", top_k=1)
-        assert len(rag_results) > 0
-
-        # Cleanup
-        rag_service.clear_collection()
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGHybridSearchIntegration:
-    """Integration tests for hybrid search (RAG + database) using HuggingFace."""
-
-    @pytest.mark.asyncio
-    async def test_hybrid_search_rag_and_pubmed(self):
-        """SearchHandler should support RAG + PubMed hybrid search."""
-        # HuggingFace works without API key for public models
-        # Setup: Ingest evidence into RAG
-        rag_service = get_rag_service(
-            collection_name="test_hybrid",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Previously collected evidence about metformin.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Previous Research",
-                    url="https://example.com/prev",
-                    date="2024",
-                    authors=[],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Note: This test would require real PubMed API access
-        # For now, we'll just test that the handler can be created with both tools
-        from src.tools.pubmed import PubMedTool
-
-        handler = SearchHandler(
-            tools=[PubMedTool()],
-            include_rag=True,
-            auto_ingest_to_rag=True,
-        )
-
-        # Verify handler has both tools
-        tool_names = [t.name for t in handler.tools]
-        assert "pubmed" in tool_names
-        assert "rag" in tool_names
-
-        # Cleanup
-        rag_service.clear_collection()
diff --git a/tests/integration/test_rag_integration_hf.py b/tests/integration/test_rag_integration_hf.py
deleted file mode 100644
index 9c58fb1d5b677ad6496b44016ff82e177e47465e..0000000000000000000000000000000000000000
--- a/tests/integration/test_rag_integration_hf.py
+++ /dev/null
@@ -1,239 +0,0 @@
-"""Integration tests for RAG integration using Hugging Face embeddings.
-
-These tests use Hugging Face/local embeddings instead of OpenAI to avoid API key requirements.
-Marked with @pytest.mark.integration to skip in unit test runs.
-"""
-
-import pytest
-
-# Skip if sentence_transformers cannot be imported
-# Note: sentence-transformers is a required dependency, but may fail due to:
-# - Windows regex circular import bug
-# - PyTorch C extensions not loading properly
-try:
-    pytest.importorskip("sentence_transformers", exc_type=ImportError)
-except (ImportError, OSError) as e:
-    # Handle various import issues
-    error_msg = str(e).lower()
-    if "regex" in error_msg or "_regex" in error_msg:
-        pytest.skip(
-            "sentence_transformers import failed due to Windows regex circular import bug. "
-            "This is a known issue with the regex package on Windows. "
-            "Try: uv pip install --upgrade --force-reinstall regex",
-            allow_module_level=True,
-        )
-    elif "pytorch" in error_msg or "torch" in error_msg:
-        pytest.skip(
-            "sentence_transformers import failed due to PyTorch C extensions issue. "
-            "Try: uv pip install --upgrade --force-reinstall torch",
-            allow_module_level=True,
-        )
-    # Re-raise other import errors
-    raise
-
-from src.services.llamaindex_rag import get_rag_service
-from src.tools.rag_tool import create_rag_tool
-from src.tools.search_handler import SearchHandler
-from src.utils.models import Citation, Evidence
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGServiceIntegrationHF:
-    """Integration tests for LlamaIndexRAGService using Hugging Face embeddings."""
-
-    @pytest.mark.asyncio
-    async def test_rag_service_ingest_and_retrieve(self):
-        """RAG service should ingest and retrieve evidence using HF embeddings."""
-        # Use Hugging Face embeddings (no API key required)
-        rag_service = get_rag_service(
-            collection_name="test_integration_hf",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-
-        # Create sample evidence
-        evidence_list = [
-            Evidence(
-                content="Metformin is a first-line treatment for type 2 diabetes. It works by reducing glucose production in the liver and improving insulin sensitivity.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Metformin Mechanism of Action",
-                    url="https://pubmed.ncbi.nlm.nih.gov/12345678/",
-                    date="2024-01-15",
-                    authors=["Smith J", "Johnson M"],
-                ),
-                relevance=0.9,
-            ),
-            Evidence(
-                content="Recent studies suggest metformin may have neuroprotective effects in Alzheimer's disease models.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Metformin and Neuroprotection",
-                    url="https://pubmed.ncbi.nlm.nih.gov/12345679/",
-                    date="2024-02-20",
-                    authors=["Brown K", "Davis L"],
-                ),
-                relevance=0.85,
-            ),
-        ]
-
-        # Ingest evidence
-        rag_service.ingest_evidence(evidence_list)
-
-        # Retrieve evidence
-        results = rag_service.retrieve("metformin diabetes", top_k=2)
-
-        # Assert
-        assert len(results) > 0
-        assert any("metformin" in r["text"].lower() for r in results)
-        assert all("text" in r for r in results)
-        assert all("metadata" in r for r in results)
-
-        # Cleanup
-        rag_service.clear_collection()
-
-    @pytest.mark.asyncio
-    async def test_rag_service_retrieve_only(self):
-        """RAG service should retrieve without requiring OpenAI for synthesis."""
-        rag_service = get_rag_service(
-            collection_name="test_query_hf",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-
-        # Ingest evidence
-        evidence_list = [
-            Evidence(
-                content="Python is a high-level programming language known for its simplicity and readability.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Python Programming",
-                    url="https://example.com/python",
-                    date="2024",
-                    authors=["Author"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Retrieve (embedding-only, no LLM synthesis)
-        results = rag_service.retrieve("What is Python?", top_k=1)
-
-        assert len(results) > 0
-        assert "python" in results[0]["text"].lower()
-
-        # Cleanup
-        rag_service.clear_collection()
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGToolIntegrationHF:
-    """Integration tests for RAGTool using Hugging Face embeddings."""
-
-    @pytest.mark.asyncio
-    async def test_rag_tool_search(self):
-        """RAGTool should search RAG service and return Evidence objects."""
-        # Create RAG service and ingest evidence
-        rag_service = get_rag_service(
-            collection_name="test_rag_tool_hf",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Machine learning is a subset of artificial intelligence.",
-                citation=Citation(
-                    source="pubmed",
-                    title="ML Basics",
-                    url="https://example.com/ml",
-                    date="2024",
-                    authors=["ML Expert"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Create RAG tool
-        tool = create_rag_tool(rag_service=rag_service)
-
-        # Search
-        results = await tool.search("machine learning", max_results=5)
-
-        # Assert
-        assert len(results) > 0
-        assert all(isinstance(e, Evidence) for e in results)
-        assert results[0].citation.source == "rag"
-        assert (
-            "machine learning" in results[0].content.lower()
-            or "artificial intelligence" in results[0].content.lower()
-        )
-
-        # Cleanup
-        rag_service.clear_collection()
-
-    @pytest.mark.asyncio
-    async def test_rag_tool_empty_collection(self):
-        """RAGTool should return empty list when collection is empty."""
-        rag_service = get_rag_service(
-            collection_name="test_empty_hf",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        rag_service.clear_collection()  # Ensure empty
-
-        tool = create_rag_tool(rag_service=rag_service)
-        results = await tool.search("any query")
-
-        assert results == []
-
-
-@pytest.mark.integration
-@pytest.mark.local_embeddings
-class TestRAGSearchHandlerIntegrationHF:
-    """Integration tests for RAG in SearchHandler using Hugging Face embeddings."""
-
-    @pytest.mark.asyncio
-    async def test_search_handler_with_rag(self):
-        """SearchHandler should work with RAG tool included."""
-        # Setup: Create RAG service and ingest some evidence
-        rag_service = get_rag_service(
-            collection_name="test_search_handler_hf",
-            use_openai_embeddings=False,
-            use_in_memory=True,  # Use in-memory ChromaDB to avoid file system issues
-        )
-        evidence_list = [
-            Evidence(
-                content="Test evidence for search handler integration.",
-                citation=Citation(
-                    source="pubmed",
-                    title="Test Evidence",
-                    url="https://example.com/test",
-                    date="2024",
-                    authors=["Tester"],
-                ),
-            )
-        ]
-        rag_service.ingest_evidence(evidence_list)
-
-        # Create RAG tool with the same service instance to ensure same collection
-        rag_tool = create_rag_tool(rag_service=rag_service)
-
-        # Create SearchHandler with the custom RAG tool
-        handler = SearchHandler(
-            tools=[rag_tool],  # Use our RAG tool with the test's collection
-            include_rag=False,  # Don't add another RAG tool (we already added it)
-            auto_ingest_to_rag=False,  # Don't auto-ingest (already has data)
-        )
-
-        # Execute search
-        result = await handler.execute("test evidence", max_results_per_tool=5)
-
-        # Assert
-        assert result.total_found > 0
-        assert "rag" in result.sources_searched
-        assert any(e.citation.source == "rag" for e in result.evidence)
-
-        # Cleanup
-        rag_service.clear_collection()
diff --git a/tests/integration/test_research_flows.py b/tests/integration/test_research_flows.py
deleted file mode 100644
index e2d50e6557c50be2aad66342dc1837307feac86e..0000000000000000000000000000000000000000
--- a/tests/integration/test_research_flows.py
+++ /dev/null
@@ -1,699 +0,0 @@
-"""Integration tests for research flows.
-
-These tests use HuggingFace and require HF_TOKEN.
-Marked with @pytest.mark.integration and @pytest.mark.huggingface.
-"""
-
-import asyncio
-
-import pytest
-
-from src.agent_factory.agents import (
-    create_deep_flow,
-    create_iterative_flow,
-    create_planner_agent,
-)
-from src.orchestrator.graph_orchestrator import create_graph_orchestrator
-from src.utils.config import settings
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestPlannerAgentIntegration:
-    """Integration tests for PlannerAgent with real API calls (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_creates_plan(self):
-        """PlannerAgent should create a valid report plan with real API."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        planner = create_planner_agent()
-        # Add timeout to prevent hanging
-        result = await asyncio.wait_for(
-            planner.run("What are the main features of Python programming language?"),
-            timeout=120.0,  # 2 minute timeout
-        )
-
-        assert result.report_title
-        assert len(result.report_outline) > 0
-        assert result.report_outline[0].title
-        assert result.report_outline[0].key_question
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_includes_background_context(self):
-        """PlannerAgent should include background context in plan."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        planner = create_planner_agent()
-        # Add timeout to prevent hanging
-        result = await asyncio.wait_for(
-            planner.run("Explain quantum computing basics"),
-            timeout=120.0,  # 2 minute timeout
-        )
-
-        assert result.background_context
-        assert len(result.background_context) > 50  # Should have substantial context
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestIterativeResearchFlowIntegration:
-    """Integration tests for IterativeResearchFlow with real API calls (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_completes_simple_query(self):
-        """IterativeResearchFlow should complete a simple research query."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=2, max_time_minutes=2)
-        # Add timeout to prevent hanging
-        result = await asyncio.wait_for(
-            flow.run(
-                query="What is the capital of France?",
-                output_length="A short paragraph",
-            ),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-        # Should mention Paris
-        assert "paris" in result.lower() or "france" in result.lower()
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_respects_max_iterations(self):
-        """IterativeResearchFlow should respect max_iterations limit."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=1, max_time_minutes=5)
-        result = await asyncio.wait_for(
-            flow.run(query="What are the main features of Python?"),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Should complete within 1 iteration (or hit max)
-        assert flow.iteration <= 1
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_with_background_context(self):
-        """IterativeResearchFlow should use background context."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=2, max_time_minutes=2)
-        result = await asyncio.wait_for(
-            flow.run(
-                query="What is machine learning?",
-                background_context="Machine learning is a subset of artificial intelligence.",
-            ),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestDeepResearchFlowIntegration:
-    """Integration tests for DeepResearchFlow with real API calls (using HuggingFace)."""
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_creates_multi_section_report(self):
-        """DeepResearchFlow should create a report with multiple sections."""
-        # HuggingFace requires API key
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,  # Keep it short for testing
-            max_time_minutes=3,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What are the main features of Python programming language?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 100  # Should have substantial content
-        # Should have section structure
-        assert "#" in result or "##" in result
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_uses_long_writer(self):
-        """DeepResearchFlow should use long writer by default."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run("Explain the basics of quantum computing"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_uses_proofreader_when_specified(self):
-        """DeepResearchFlow should use proofreader when use_long_writer=False."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=False,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What is artificial intelligence?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestGraphOrchestratorIntegration:
-    """Integration tests for GraphOrchestrator with real API calls."""
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_iterative_mode(self):
-        """GraphOrchestrator should run in iterative mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="iterative",
-            max_iterations=1,
-            max_time_minutes=2,
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What is Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=180.0)  # 3 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_deep_mode(self):
-        """GraphOrchestrator should run in deep mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="deep",
-            max_iterations=1,
-            max_time_minutes=3,
-        )
-
-        events = []
-
-        # Add timeout wrapper for async generator
-        async def collect_events():
-            async for event in orchestrator.run("What are the main features of Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=240.0)  # 4 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_auto_mode(self):
-        """GraphOrchestrator should auto-detect research mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="auto",
-            max_iterations=1,
-            max_time_minutes=2,
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What is Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=180.0)  # 3 minute timeout
-
-        assert len(events) > 0
-        # Should complete successfully regardless of mode
-        event_types = [e.type for e in events]
-        assert "complete" in event_types
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestGraphOrchestrationIntegration:
-    """Integration tests for graph-based orchestration with real API calls."""
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_with_graph_execution(self):
-        """IterativeResearchFlow should work with graph execution enabled."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(
-            max_iterations=1,
-            max_time_minutes=2,
-            use_graph=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run(query="What is the capital of France?"),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-        # Should mention Paris
-        assert "paris" in result.lower() or "france" in result.lower()
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_with_graph_execution(self):
-        """DeepResearchFlow should work with graph execution enabled."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_graph=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What are the main features of Python programming language?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 100  # Should have substantial content
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_with_graph_execution(self):
-        """GraphOrchestrator should work with graph execution enabled."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="iterative",
-            max_iterations=1,
-            max_time_minutes=2,
-            use_graph=True,
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What is Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=180.0)  # 3 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-        # Extract final report from complete event
-        complete_events = [e for e in events if e.type == "complete"]
-        assert len(complete_events) > 0
-        final_report = complete_events[0].message
-        assert isinstance(final_report, str)
-        assert len(final_report) > 0
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_parallel_execution(self):
-        """GraphOrchestrator should support parallel execution in deep mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="deep",
-            max_iterations=1,
-            max_time_minutes=3,
-            use_graph=True,
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What are the main features of Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=240.0)  # 4 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-    @pytest.mark.asyncio
-    async def test_graph_vs_chain_execution_comparison(self):
-        """Both graph and chain execution should produce similar results."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        query = "What is the capital of France?"
-
-        # Run with graph execution
-        flow_graph = create_iterative_flow(
-            max_iterations=1,
-            max_time_minutes=2,
-            use_graph=True,
-        )
-        result_graph = await asyncio.wait_for(
-            flow_graph.run(query=query),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        # Run with agent chains
-        flow_chains = create_iterative_flow(
-            max_iterations=1,
-            max_time_minutes=2,
-            use_graph=False,
-        )
-        result_chains = await asyncio.wait_for(
-            flow_chains.run(query=query),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        # Both should produce valid results
-        assert isinstance(result_graph, str)
-        assert isinstance(result_chains, str)
-        assert len(result_graph) > 0
-        assert len(result_chains) > 0
-
-        # Both should mention the answer (Paris)
-        assert "paris" in result_graph.lower() or "france" in result_graph.lower()
-        assert "paris" in result_chains.lower() or "france" in result_chains.lower()
-
-
-@pytest.mark.integration
-@pytest.mark.huggingface
-class TestReportSynthesisIntegration:
-    """Integration tests for report synthesis with writer agents."""
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_generates_report(self):
-        """IterativeResearchFlow should generate a report with writer agent."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=1, max_time_minutes=2)
-        result = await asyncio.wait_for(
-            flow.run(
-                query="What is the capital of France?",
-                output_length="A short paragraph",
-            ),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-        # Should be a formatted report
-        assert "paris" in result.lower() or "france" in result.lower()
-        # Should have some structure (markdown headers or content)
-        assert len(result) > 50
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_includes_citations(self):
-        """IterativeResearchFlow should include citations in the report."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=1, max_time_minutes=2)
-        result = await asyncio.wait_for(
-            flow.run(
-                query="What is machine learning?",
-                output_length="A short paragraph",
-            ),
-            timeout=180.0,  # 3 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Should have some form of citations or references
-        # (either [1], [2] format or References section)
-        # Note: Citations may not always be present depending on findings
-        # This is a soft check - just verify report was generated
-        assert len(result) > 0
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_handles_empty_findings(self):
-        """IterativeResearchFlow should handle empty findings gracefully."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_iterative_flow(max_iterations=1, max_time_minutes=1)
-        # Use a query that might not return findings quickly
-        result = await asyncio.wait_for(
-            flow.run(
-                query="Test query with no findings",
-                output_length="A short paragraph",
-            ),
-            timeout=120.0,  # 2 minute timeout
-        )
-
-        # Should still return a report (even if minimal)
-        assert isinstance(result, str)
-        # Writer agent should handle empty findings with fallback
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_with_long_writer(self):
-        """DeepResearchFlow should use long writer to create sections."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What are the main features of Python programming language?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 100  # Should have substantial content
-        # Should have section structure (table of contents or sections)
-        has_structure = (
-            "##" in result
-            or "#" in result
-            or "table of contents" in result.lower()
-            or "introduction" in result.lower()
-        )
-        # Long writer should create structured report
-        assert has_structure or len(result) > 200
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_creates_sections(self):
-        """DeepResearchFlow should create multiple sections in the report."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run("Explain the basics of quantum computing"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Should have multiple sections (indicated by headers)
-        # Should have at least some structure
-        assert len(result) > 100
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_aggregates_references(self):
-        """DeepResearchFlow should aggregate references from all sections."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=True,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What are the main features of Python programming language?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Long writer should aggregate references at the end
-        # Check for references section or citation format
-        # Note: References may not always be present
-        # Just verify report structure is correct
-        assert len(result) > 100
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_with_proofreader(self):
-        """DeepResearchFlow should use proofreader to finalize report."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=False,  # Use proofreader instead
-        )
-        result = await asyncio.wait_for(
-            flow.run("What is artificial intelligence?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        assert len(result) > 0
-        # Proofreader should create polished report
-        # Should have some structure
-        assert len(result) > 50
-
-    @pytest.mark.asyncio
-    async def test_proofreader_removes_duplicates(self):
-        """Proofreader should remove duplicate content from report."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=False,
-        )
-        result = await asyncio.wait_for(
-            flow.run("Explain machine learning basics"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Proofreader should create polished, non-repetitive content
-        # This is a soft check - just verify report was generated
-        assert len(result) > 0
-
-    @pytest.mark.asyncio
-    async def test_proofreader_adds_summary(self):
-        """Proofreader should add a summary to the report."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        flow = create_deep_flow(
-            max_iterations=1,
-            max_time_minutes=3,
-            use_long_writer=False,
-        )
-        result = await asyncio.wait_for(
-            flow.run("What is Python programming language?"),
-            timeout=240.0,  # 4 minute timeout
-        )
-
-        assert isinstance(result, str)
-        # Proofreader should add summary/outline
-        # Check for summary indicators
-        # Note: Summary format may vary
-        # Just verify report was generated
-        assert len(result) > 0
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_uses_writer_agents(self):
-        """GraphOrchestrator should use writer agents in iterative mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="iterative",
-            max_iterations=1,
-            max_time_minutes=2,
-            use_graph=False,  # Use agent chains to test writer integration
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What is the capital of France?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=180.0)  # 3 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-        # Extract final report from complete event
-        complete_events = [e for e in events if e.type == "complete"]
-        assert len(complete_events) > 0
-        final_report = complete_events[0].message
-        assert isinstance(final_report, str)
-        assert len(final_report) > 0
-        # Should have content from writer agent
-        assert "paris" in final_report.lower() or "france" in final_report.lower()
-
-    @pytest.mark.asyncio
-    async def test_graph_orchestrator_uses_long_writer_in_deep_mode(self):
-        """GraphOrchestrator should use long writer in deep mode."""
-        if not settings.has_huggingface_key:
-            pytest.skip("HF_TOKEN required for HuggingFace integration tests")
-
-        orchestrator = create_graph_orchestrator(
-            mode="deep",
-            max_iterations=1,
-            max_time_minutes=3,
-            use_graph=False,  # Use agent chains
-        )
-
-        events = []
-
-        # Wrap async generator with timeout
-        async def collect_events():
-            async for event in orchestrator.run("What are the main features of Python?"):
-                events.append(event)
-
-        await asyncio.wait_for(collect_events(), timeout=240.0)  # 4 minute timeout
-
-        assert len(events) > 0
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "complete" in event_types
-
-        # Extract final report
-        complete_events = [e for e in events if e.type == "complete"]
-        assert len(complete_events) > 0
-        final_report = complete_events[0].message
-        assert isinstance(final_report, str)
-        assert len(final_report) > 0
-        # Should have structured content from long writer
-        assert len(final_report) > 100
diff --git a/tests/scripts/run_tests_with_output.py b/tests/scripts/run_tests_with_output.py
deleted file mode 100644
index 79808ae18aee9679ffc21bb7094bab8691e0cad3..0000000000000000000000000000000000000000
--- a/tests/scripts/run_tests_with_output.py
+++ /dev/null
@@ -1,79 +0,0 @@
-"""Test runner script that writes output to file and handles timeouts.
-
-This script runs tests with proper timeout handling and writes output to a file
-to help debug hanging tests.
-"""
-
-import subprocess
-import sys
-from datetime import datetime
-
-# Test output file
-OUTPUT_FILE = f"test_output_{datetime.now().strftime('%Y%m%d_%H%M%S')}.txt"
-
-
-def run_tests_with_timeout():
-    """Run tests with timeout and write output to file."""
-    print(f"Running tests - output will be written to {OUTPUT_FILE}")
-
-    # Base pytest command
-    cmd = [
-        sys.executable,
-        "-m",
-        "pytest",
-        "-v",
-        "--tb=short",
-        "-p",
-        "no:logfire",
-        "-m",
-        "huggingface or (integration and not openai)",
-        "--timeout=300",  # 5 minute timeout per test
-        "tests/integration/",
-    ]
-
-    # Check if pytest-timeout is available
-    try:
-        import pytest_timeout  # noqa: F401
-
-        print("Using pytest-timeout plugin")
-    except ImportError:
-        print("WARNING: pytest-timeout not installed, installing...")
-        subprocess.run([sys.executable, "-m", "pip", "install", "pytest-timeout"], check=False)
-        cmd.insert(-1, "--timeout=300")
-
-    # Run tests and capture output
-    with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
-        f.write(f"Test Run: {datetime.now().isoformat()}\n")
-        f.write(f"Command: {' '.join(cmd)}\n")
-        f.write("=" * 80 + "\n\n")
-
-        # Run pytest
-        process = subprocess.Popen(
-            cmd,
-            stdout=subprocess.PIPE,
-            stderr=subprocess.STDOUT,
-            text=True,
-            bufsize=1,
-            universal_newlines=True,
-        )
-
-        # Stream output to both file and console
-        for line in process.stdout:
-            print(line, end="")
-            f.write(line)
-            f.flush()
-
-        process.wait()
-        return_code = process.returncode
-
-        f.write("\n" + "=" * 80 + "\n")
-        f.write(f"Exit code: {return_code}\n")
-        f.write(f"Completed: {datetime.now().isoformat()}\n")
-
-    print(f"\nTest output written to: {OUTPUT_FILE}")
-    return return_code
-
-
-if __name__ == "__main__":
-    exit_code = run_tests_with_timeout()
-    sys.exit(exit_code)
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/unit/agent_factory/__init__.py b/tests/unit/agent_factory/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/unit/agent_factory/test_graph_builder.py b/tests/unit/agent_factory/test_graph_builder.py
deleted file mode 100644
index 208b2588f311ab38cd3ecd52ac99970247fdc9de..0000000000000000000000000000000000000000
--- a/tests/unit/agent_factory/test_graph_builder.py
+++ /dev/null
@@ -1,439 +0,0 @@
-"""Unit tests for graph builder utilities."""
-
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-from pydantic_ai import Agent
-
-from src.agent_factory.graph_builder import (
-    AgentNode,
-    ConditionalEdge,
-    DecisionNode,
-    GraphBuilder,
-    GraphNode,
-    ParallelNode,
-    ResearchGraph,
-    SequentialEdge,
-    StateNode,
-    create_deep_graph,
-    create_iterative_graph,
-)
-from src.middleware.state_machine import WorkflowState
-
-
-class TestGraphNode:
-    """Tests for GraphNode models."""
-
-    def test_graph_node_creation(self):
-        """Test creating a base GraphNode."""
-        node = GraphNode(node_id="test_node", node_type="agent", description="Test")
-        assert node.node_id == "test_node"
-        assert node.node_type == "agent"
-        assert node.description == "Test"
-
-    def test_agent_node_creation(self):
-        """Test creating an AgentNode."""
-        mock_agent = MagicMock(spec=Agent)
-        node = AgentNode(
-            node_id="agent_1",
-            agent=mock_agent,
-            description="Test agent",
-        )
-        assert node.node_id == "agent_1"
-        assert node.node_type == "agent"
-        assert node.agent == mock_agent
-        assert node.input_transformer is None
-        assert node.output_transformer is None
-
-    def test_agent_node_with_transformers(self):
-        """Test creating an AgentNode with transformers."""
-        mock_agent = MagicMock(spec=Agent)
-
-        def input_transformer(x):
-            return f"input_{x}"
-
-        def output_transformer(x):
-            return f"output_{x}"
-
-        node = AgentNode(
-            node_id="agent_1",
-            agent=mock_agent,
-            input_transformer=input_transformer,
-            output_transformer=output_transformer,
-        )
-        assert node.input_transformer is not None
-        assert node.output_transformer is not None
-
-    def test_state_node_creation(self):
-        """Test creating a StateNode."""
-
-        def state_updater(state: WorkflowState, data: Any) -> WorkflowState:
-            return state
-
-        node = StateNode(
-            node_id="state_1",
-            state_updater=state_updater,
-            description="Test state",
-        )
-        assert node.node_id == "state_1"
-        assert node.node_type == "state"
-        assert node.state_updater is not None
-        assert node.state_reader is None
-
-    def test_decision_node_creation(self):
-        """Test creating a DecisionNode."""
-
-        def decision_func(data: Any) -> str:
-            return "next_node"
-
-        node = DecisionNode(
-            node_id="decision_1",
-            decision_function=decision_func,
-            options=["next_node", "other_node"],
-            description="Test decision",
-        )
-        assert node.node_id == "decision_1"
-        assert node.node_type == "decision"
-        assert len(node.options) == 2
-        assert "next_node" in node.options
-
-    def test_parallel_node_creation(self):
-        """Test creating a ParallelNode."""
-        node = ParallelNode(
-            node_id="parallel_1",
-            parallel_nodes=["node1", "node2", "node3"],
-            description="Test parallel",
-        )
-        assert node.node_id == "parallel_1"
-        assert node.node_type == "parallel"
-        assert len(node.parallel_nodes) == 3
-        assert node.aggregator is None
-
-
-class TestGraphEdge:
-    """Tests for GraphEdge models."""
-
-    def test_sequential_edge_creation(self):
-        """Test creating a SequentialEdge."""
-        edge = SequentialEdge(from_node="node1", to_node="node2")
-        assert edge.from_node == "node1"
-        assert edge.to_node == "node2"
-        assert edge.condition is None
-        assert edge.weight == 1.0
-
-    def test_conditional_edge_creation(self):
-        """Test creating a ConditionalEdge."""
-
-        def condition(data: Any) -> bool:
-            return True
-
-        edge = ConditionalEdge(
-            from_node="node1",
-            to_node="node2",
-            condition=condition,
-            condition_description="Test condition",
-        )
-        assert edge.from_node == "node1"
-        assert edge.to_node == "node2"
-        assert edge.condition is not None
-        assert edge.condition_description == "Test condition"
-
-
-class TestResearchGraph:
-    """Tests for ResearchGraph class."""
-
-    def test_graph_creation(self):
-        """Test creating an empty graph."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        assert graph.entry_node == "start"
-        assert len(graph.exit_nodes) == 1
-        assert graph.exit_nodes[0] == "end"
-        assert len(graph.nodes) == 0
-        assert len(graph.edges) == 0
-
-    def test_add_node(self):
-        """Test adding a node to the graph."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node = GraphNode(node_id="node1", node_type="agent", description="Test")
-        graph.add_node(node)
-        assert "node1" in graph.nodes
-        assert graph.get_node("node1") == node
-
-    def test_add_node_duplicate_raises_error(self):
-        """Test that adding duplicate node raises ValueError."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node = GraphNode(node_id="node1", node_type="agent", description="Test")
-        graph.add_node(node)
-        with pytest.raises(ValueError, match="already exists"):
-            graph.add_node(node)
-
-    def test_add_edge(self):
-        """Test adding an edge to the graph."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node1 = GraphNode(node_id="node1", node_type="agent", description="Test")
-        node2 = GraphNode(node_id="node2", node_type="agent", description="Test")
-        graph.add_node(node1)
-        graph.add_node(node2)
-
-        edge = SequentialEdge(from_node="node1", to_node="node2")
-        graph.add_edge(edge)
-        assert "node1" in graph.edges
-        assert len(graph.edges["node1"]) == 1
-        assert graph.edges["node1"][0] == edge
-
-    def test_add_edge_invalid_source_raises_error(self):
-        """Test that adding edge with invalid source raises ValueError."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        edge = SequentialEdge(from_node="nonexistent", to_node="node2")
-        with pytest.raises(ValueError, match=r"Source node.*not found"):
-            graph.add_edge(edge)
-
-    def test_add_edge_invalid_target_raises_error(self):
-        """Test that adding edge with invalid target raises ValueError."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node1 = GraphNode(node_id="node1", node_type="agent", description="Test")
-        graph.add_node(node1)
-        edge = SequentialEdge(from_node="node1", to_node="nonexistent")
-        with pytest.raises(ValueError, match=r"Target node.*not found"):
-            graph.add_edge(edge)
-
-    def test_get_next_nodes(self):
-        """Test getting next nodes from a node."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node1 = GraphNode(node_id="node1", node_type="agent", description="Test")
-        node2 = GraphNode(node_id="node2", node_type="agent", description="Test")
-        graph.add_node(node1)
-        graph.add_node(node2)
-        graph.add_edge(SequentialEdge(from_node="node1", to_node="node2"))
-
-        next_nodes = graph.get_next_nodes("node1")
-        assert len(next_nodes) == 1
-        assert next_nodes[0][0] == "node2"
-
-    def test_get_next_nodes_with_condition(self):
-        """Test getting next nodes with conditional edge."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        node1 = GraphNode(node_id="node1", node_type="agent", description="Test")
-        node2 = GraphNode(node_id="node2", node_type="agent", description="Test")
-        node3 = GraphNode(node_id="node3", node_type="agent", description="Test")
-        graph.add_node(node1)
-        graph.add_node(node2)
-        graph.add_node(node3)
-
-        # Add conditional edge that only passes when data is True
-        def condition(data: Any) -> bool:
-            return data is True
-
-        graph.add_edge(SequentialEdge(from_node="node1", to_node="node2"))
-        graph.add_edge(ConditionalEdge(from_node="node1", to_node="node3", condition=condition))
-
-        # With condition True, should get both
-        next_nodes = graph.get_next_nodes("node1", context=True)
-        assert len(next_nodes) == 2
-
-        # With condition False, should only get sequential edge
-        next_nodes = graph.get_next_nodes("node1", context=False)
-        assert len(next_nodes) == 1
-        assert next_nodes[0][0] == "node2"
-
-    def test_validate_empty_graph(self):
-        """Test validating an empty graph."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        errors = graph.validate_structure()
-        assert len(errors) > 0  # Should have errors for missing entry/exit nodes
-
-    def test_validate_valid_graph(self):
-        """Test validating a valid graph."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        start_node = GraphNode(node_id="start", node_type="agent", description="Start")
-        end_node = GraphNode(node_id="end", node_type="agent", description="End")
-        graph.add_node(start_node)
-        graph.add_node(end_node)
-        graph.add_edge(SequentialEdge(from_node="start", to_node="end"))
-
-        errors = graph.validate_structure()
-        assert len(errors) == 0
-
-    def test_validate_unreachable_nodes(self):
-        """Test that validation detects unreachable nodes."""
-        graph = ResearchGraph(entry_node="start", exit_nodes=["end"])
-        start_node = GraphNode(node_id="start", node_type="agent", description="Start")
-        end_node = GraphNode(node_id="end", node_type="agent", description="End")
-        unreachable = GraphNode(node_id="unreachable", node_type="agent", description="Unreachable")
-        graph.add_node(start_node)
-        graph.add_node(end_node)
-        graph.add_node(unreachable)
-        graph.add_edge(SequentialEdge(from_node="start", to_node="end"))
-
-        errors = graph.validate_structure()
-        assert len(errors) > 0
-        assert any("unreachable" in error.lower() for error in errors)
-
-
-class TestGraphBuilder:
-    """Tests for GraphBuilder class."""
-
-    def test_builder_initialization(self):
-        """Test initializing a GraphBuilder."""
-        builder = GraphBuilder()
-        assert builder.graph is not None
-        assert builder.graph.entry_node == ""
-        assert len(builder.graph.exit_nodes) == 0
-
-    def test_add_agent_node(self):
-        """Test adding an agent node."""
-        builder = GraphBuilder()
-        mock_agent = MagicMock(spec=Agent)
-        builder.add_agent_node("agent1", mock_agent, "Test agent")
-        assert "agent1" in builder.graph.nodes
-        node = builder.graph.get_node("agent1")
-        assert isinstance(node, AgentNode)
-        assert node.agent == mock_agent
-
-    def test_add_state_node(self):
-        """Test adding a state node."""
-        builder = GraphBuilder()
-
-        def updater(state: WorkflowState, data: Any) -> WorkflowState:
-            return state
-
-        builder.add_state_node("state1", updater, "Test state")
-        assert "state1" in builder.graph.nodes
-        node = builder.graph.get_node("state1")
-        assert isinstance(node, StateNode)
-
-    def test_add_decision_node(self):
-        """Test adding a decision node."""
-        builder = GraphBuilder()
-
-        def decision_func(data: Any) -> str:
-            return "next"
-
-        builder.add_decision_node("decision1", decision_func, ["next", "other"], "Test")
-        assert "decision1" in builder.graph.nodes
-        node = builder.graph.get_node("decision1")
-        assert isinstance(node, DecisionNode)
-
-    def test_add_parallel_node(self):
-        """Test adding a parallel node."""
-        builder = GraphBuilder()
-        builder.add_parallel_node("parallel1", ["node1", "node2"], "Test")
-        assert "parallel1" in builder.graph.nodes
-        node = builder.graph.get_node("parallel1")
-        assert isinstance(node, ParallelNode)
-        assert len(node.parallel_nodes) == 2
-
-    def test_connect_nodes(self):
-        """Test connecting nodes."""
-        builder = GraphBuilder()
-        builder.add_agent_node("node1", MagicMock(spec=Agent), "Node 1")
-        builder.add_agent_node("node2", MagicMock(spec=Agent), "Node 2")
-        builder.connect_nodes("node1", "node2")
-        assert "node1" in builder.graph.edges
-        assert len(builder.graph.edges["node1"]) == 1
-
-    def test_connect_nodes_with_condition(self):
-        """Test connecting nodes with a condition."""
-        builder = GraphBuilder()
-        builder.add_agent_node("node1", MagicMock(spec=Agent), "Node 1")
-        builder.add_agent_node("node2", MagicMock(spec=Agent), "Node 2")
-
-        def condition(data: Any) -> bool:
-            return True
-
-        builder.connect_nodes("node1", "node2", condition=condition, condition_description="Test")
-        edge = builder.graph.edges["node1"][0]
-        assert isinstance(edge, ConditionalEdge)
-        assert edge.condition is not None
-
-    def test_set_entry_node(self):
-        """Test setting entry node."""
-        builder = GraphBuilder()
-        builder.add_agent_node("start", MagicMock(spec=Agent), "Start")
-        builder.set_entry_node("start")
-        assert builder.graph.entry_node == "start"
-
-    def test_set_exit_nodes(self):
-        """Test setting exit nodes."""
-        builder = GraphBuilder()
-        builder.add_agent_node("end1", MagicMock(spec=Agent), "End 1")
-        builder.add_agent_node("end2", MagicMock(spec=Agent), "End 2")
-        builder.set_exit_nodes(["end1", "end2"])
-        assert len(builder.graph.exit_nodes) == 2
-
-    def test_build_validates_graph(self):
-        """Test that build() validates the graph."""
-        builder = GraphBuilder()
-        builder.add_agent_node("start", MagicMock(spec=Agent), "Start")
-        builder.set_entry_node("start")
-        # Missing exit node - should fail validation
-        with pytest.raises(ValueError, match="validation failed"):
-            builder.build()
-
-    def test_build_returns_valid_graph(self):
-        """Test that build() returns a valid graph."""
-        builder = GraphBuilder()
-        mock_agent = MagicMock(spec=Agent)
-        builder.add_agent_node("start", mock_agent, "Start")
-        builder.add_agent_node("end", mock_agent, "End")
-        builder.connect_nodes("start", "end")
-        builder.set_entry_node("start")
-        builder.set_exit_nodes(["end"])
-
-        graph = builder.build()
-        assert isinstance(graph, ResearchGraph)
-        assert graph.entry_node == "start"
-        assert "end" in graph.exit_nodes
-
-
-class TestFactoryFunctions:
-    """Tests for factory functions."""
-
-    def test_create_iterative_graph(self):
-        """Test creating an iterative research graph."""
-        mock_kg_agent = MagicMock(spec=Agent)
-        mock_ts_agent = MagicMock(spec=Agent)
-        mock_thinking_agent = MagicMock(spec=Agent)
-        mock_writer_agent = MagicMock(spec=Agent)
-
-        graph = create_iterative_graph(
-            knowledge_gap_agent=mock_kg_agent,
-            tool_selector_agent=mock_ts_agent,
-            thinking_agent=mock_thinking_agent,
-            writer_agent=mock_writer_agent,
-        )
-
-        assert isinstance(graph, ResearchGraph)
-        assert graph.entry_node == "thinking"
-        assert "writer" in graph.exit_nodes
-        assert "thinking" in graph.nodes
-        assert "knowledge_gap" in graph.nodes
-        assert "continue_decision" in graph.nodes
-        assert "tool_selector" in graph.nodes
-        assert "writer" in graph.nodes
-
-    def test_create_deep_graph(self):
-        """Test creating a deep research graph."""
-        mock_planner_agent = MagicMock(spec=Agent)
-        mock_kg_agent = MagicMock(spec=Agent)
-        mock_ts_agent = MagicMock(spec=Agent)
-        mock_thinking_agent = MagicMock(spec=Agent)
-        mock_writer_agent = MagicMock(spec=Agent)
-        mock_long_writer_agent = MagicMock(spec=Agent)
-
-        graph = create_deep_graph(
-            planner_agent=mock_planner_agent,
-            knowledge_gap_agent=mock_kg_agent,
-            tool_selector_agent=mock_ts_agent,
-            thinking_agent=mock_thinking_agent,
-            writer_agent=mock_writer_agent,
-            long_writer_agent=mock_long_writer_agent,
-        )
-
-        assert isinstance(graph, ResearchGraph)
-        assert graph.entry_node == "planner"
-        assert "synthesizer" in graph.exit_nodes
-        assert "planner" in graph.nodes
-        assert "parallel_loops" in graph.nodes
-        assert "synthesizer" in graph.nodes
diff --git a/tests/unit/agent_factory/test_judges.py b/tests/unit/agent_factory/test_judges.py
deleted file mode 100644
index 90551d991ecd51619025682ffb193b8a713581b1..0000000000000000000000000000000000000000
--- a/tests/unit/agent_factory/test_judges.py
+++ /dev/null
@@ -1,357 +0,0 @@
-"""Unit tests for JudgeHandler."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.agent_factory.judges import JudgeHandler, MockJudgeHandler
-from src.utils.models import AssessmentDetails, Citation, Evidence, JudgeAssessment
-
-
-class TestJudgeHandler:
-    """Tests for JudgeHandler."""
-
-    @pytest.mark.asyncio
-    async def test_assess_returns_assessment(self):
-        """JudgeHandler should return JudgeAssessment from LLM."""
-        # Create mock assessment
-        expected_confidence = 0.85
-        mock_assessment = JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=8,
-                mechanism_reasoning="Strong mechanistic evidence",
-                clinical_evidence_score=7,
-                clinical_reasoning="Good clinical support",
-                drug_candidates=["Metformin"],
-                key_findings=["Neuroprotective effects"],
-            ),
-            sufficient=True,
-            confidence=expected_confidence,
-            recommendation="synthesize",
-            next_search_queries=[],
-            reasoning="Evidence is sufficient for synthesis",
-        )
-
-        # Mock the PydanticAI agent
-        mock_result = MagicMock()
-        mock_result.output = mock_assessment
-
-        with (
-            patch("src.agent_factory.judges.get_model") as mock_get_model,
-            patch("src.agent_factory.judges.Agent") as mock_agent_class,
-        ):
-            mock_get_model.return_value = MagicMock()
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(return_value=mock_result)
-            mock_agent_class.return_value = mock_agent
-
-            handler = JudgeHandler()
-            # Replace the agent with our mock
-            handler.agent = mock_agent
-
-            evidence = [
-                Evidence(
-                    content="Metformin shows neuroprotective properties...",
-                    citation=Citation(
-                        source="pubmed",
-                        title="Metformin in AD",
-                        url="https://pubmed.ncbi.nlm.nih.gov/12345/",
-                        date="2024-01-01",
-                    ),
-                )
-            ]
-
-            result = await handler.assess("metformin alzheimer", evidence)
-
-            assert result.sufficient is True
-            assert result.recommendation == "synthesize"
-            assert result.confidence == expected_confidence
-            assert "Metformin" in result.details.drug_candidates
-
-    @pytest.mark.asyncio
-    async def test_assess_empty_evidence(self):
-        """JudgeHandler should handle empty evidence gracefully."""
-        mock_assessment = JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=0,
-                mechanism_reasoning="No evidence to assess",
-                clinical_evidence_score=0,
-                clinical_reasoning="No evidence to assess",
-                drug_candidates=[],
-                key_findings=[],
-            ),
-            sufficient=False,
-            confidence=0.0,
-            recommendation="continue",
-            next_search_queries=["metformin alzheimer mechanism"],
-            reasoning="No evidence found, need to search more",
-        )
-
-        mock_result = MagicMock()
-        mock_result.output = mock_assessment
-
-        with (
-            patch("src.agent_factory.judges.get_model") as mock_get_model,
-            patch("src.agent_factory.judges.Agent") as mock_agent_class,
-        ):
-            mock_get_model.return_value = MagicMock()
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(return_value=mock_result)
-            mock_agent_class.return_value = mock_agent
-
-            handler = JudgeHandler()
-            handler.agent = mock_agent
-
-            result = await handler.assess("metformin alzheimer", [])
-
-            assert result.sufficient is False
-            assert result.recommendation == "continue"
-            assert len(result.next_search_queries) > 0
-
-    @pytest.mark.asyncio
-    async def test_assess_handles_llm_failure(self):
-        """JudgeHandler should return fallback on LLM failure."""
-        with (
-            patch("src.agent_factory.judges.get_model") as mock_get_model,
-            patch("src.agent_factory.judges.Agent") as mock_agent_class,
-        ):
-            mock_get_model.return_value = MagicMock()
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(side_effect=Exception("API Error"))
-            mock_agent_class.return_value = mock_agent
-
-            handler = JudgeHandler()
-            handler.agent = mock_agent
-
-            evidence = [
-                Evidence(
-                    content="Some content",
-                    citation=Citation(
-                        source="pubmed",
-                        title="Title",
-                        url="url",
-                        date="2024",
-                    ),
-                )
-            ]
-
-            result = await handler.assess("test question", evidence)
-
-            # Should return fallback, not raise
-            assert result.sufficient is False
-            assert result.recommendation == "continue"
-            assert "failed" in result.reasoning.lower()
-
-    @pytest.mark.asyncio
-    async def test_assess_handles_403_error(self):
-        """JudgeHandler should handle 403 Forbidden errors with error extraction."""
-        error_msg = "status_code: 403, model_name: Qwen/Qwen3-Next-80B-A3B-Thinking, body: Forbidden"
-        
-        with (
-            patch("src.agent_factory.judges.get_model") as mock_get_model,
-            patch("src.agent_factory.judges.Agent") as mock_agent_class,
-            patch("src.agent_factory.judges.logger") as mock_logger,
-        ):
-            mock_get_model.return_value = MagicMock()
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(side_effect=Exception(error_msg))
-            mock_agent_class.return_value = mock_agent
-
-            handler = JudgeHandler()
-            handler.agent = mock_agent
-
-            evidence = [
-                Evidence(
-                    content="Some content",
-                    citation=Citation(
-                        source="pubmed",
-                        title="Title",
-                        url="url",
-                        date="2024",
-                    ),
-                )
-            ]
-
-            result = await handler.assess("test question", evidence)
-
-            # Should return fallback
-            assert result.sufficient is False
-            assert result.recommendation == "continue"
-            
-            # Should log error details
-            error_calls = [call for call in mock_logger.error.call_args_list if "Assessment failed" in str(call)]
-            assert len(error_calls) > 0
-
-    @pytest.mark.asyncio
-    async def test_assess_handles_422_error(self):
-        """JudgeHandler should handle 422 Unprocessable Entity errors."""
-        error_msg = "status_code: 422, model_name: meta-llama/Llama-3.1-70B-Instruct, body: Unprocessable Entity"
-        
-        with (
-            patch("src.agent_factory.judges.get_model") as mock_get_model,
-            patch("src.agent_factory.judges.Agent") as mock_agent_class,
-            patch("src.agent_factory.judges.logger") as mock_logger,
-        ):
-            mock_get_model.return_value = MagicMock()
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(side_effect=Exception(error_msg))
-            mock_agent_class.return_value = mock_agent
-
-            handler = JudgeHandler()
-            handler.agent = mock_agent
-
-            evidence = [
-                Evidence(
-                    content="Some content",
-                    citation=Citation(
-                        source="pubmed",
-                        title="Title",
-                        url="url",
-                        date="2024",
-                    ),
-                )
-            ]
-
-            result = await handler.assess("test question", evidence)
-
-            # Should return fallback
-            assert result.sufficient is False
-            
-            # Should log warning with user-friendly message
-            warning_calls = [call for call in mock_logger.warning.call_args_list if "API error details" in str(call)]
-            assert len(warning_calls) > 0
-
-
-class TestGetModel:
-    """Tests for get_model function with token validation."""
-
-    @patch("src.agent_factory.judges.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    def test_get_model_validates_oauth_token(self, mock_validate, mock_log, mock_settings):
-        """Should validate and log OAuth token when provided."""
-        mock_settings.hf_token = None
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (True, None)
-        
-        with patch("src.agent_factory.judges.HuggingFaceProvider"), \
-             patch("src.agent_factory.judges.HuggingFaceModel") as mock_model_class:
-            mock_model_class.return_value = MagicMock()
-            
-            from src.agent_factory.judges import get_model
-            
-            get_model(oauth_token="hf_test_token")
-            
-            # Should log token info
-            mock_log.assert_called_once_with("hf_test_token", context="get_model")
-            # Should validate token
-            mock_validate.assert_called_once_with("hf_test_token")
-
-    @patch("src.agent_factory.judges.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    @patch("src.agent_factory.judges.logger")
-    def test_get_model_warns_on_invalid_token(self, mock_logger, mock_validate, mock_log, mock_settings):
-        """Should warn when token validation fails."""
-        mock_settings.hf_token = None
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (False, "Token too short")
-        
-        with patch("src.agent_factory.judges.HuggingFaceProvider"), \
-             patch("src.agent_factory.judges.HuggingFaceModel") as mock_model_class:
-            mock_model_class.return_value = MagicMock()
-            
-            from src.agent_factory.judges import get_model
-            
-            get_model(oauth_token="short")
-            
-            # Should warn about invalid token
-            warning_calls = [call for call in mock_logger.warning.call_args_list if "Token validation failed" in str(call)]
-            assert len(warning_calls) > 0
-
-
-class TestMockJudgeHandler:
-    """Tests for MockJudgeHandler."""
-
-    @pytest.mark.asyncio
-    async def test_mock_handler_returns_default(self):
-        """MockJudgeHandler should return default assessment."""
-        handler = MockJudgeHandler()
-
-        evidence = [
-            Evidence(
-                content="Content 1",
-                citation=Citation(source="pubmed", title="T1", url="u1", date="2024"),
-            ),
-            Evidence(
-                content="Content 2",
-                citation=Citation(source="pubmed", title="T2", url="u2", date="2024"),
-            ),
-        ]
-
-        result = await handler.assess("test", evidence)
-
-        expected_evidence_len = 2
-        # New dynamic scoring: mechanism_score = min(10, evidence_count * 2)
-        expected_mech_score = min(10, expected_evidence_len * 2)  # = 4
-
-        assert handler.call_count == 1
-        assert handler.last_question == "test"
-        assert handler.last_evidence is not None
-        assert len(handler.last_evidence) == expected_evidence_len
-        assert result.details.mechanism_score == expected_mech_score
-        assert result.sufficient is False
-        assert result.recommendation == "continue"
-        # Verify demo mode messaging
-        assert "Demo mode" in result.reasoning
-
-    @pytest.mark.asyncio
-    async def test_mock_handler_custom_response(self):
-        """MockJudgeHandler should return custom response when provided."""
-        expected_score = 10
-        custom_assessment = JudgeAssessment(
-            details=AssessmentDetails(
-                mechanism_score=expected_score,
-                mechanism_reasoning="Custom reasoning",
-                clinical_evidence_score=expected_score,
-                clinical_reasoning="Custom clinical",
-                drug_candidates=["CustomDrug"],
-                key_findings=["Custom finding"],
-            ),
-            sufficient=True,
-            confidence=1.0,
-            recommendation="synthesize",
-            next_search_queries=[],
-            reasoning="Custom assessment logic for testing purposes must be at least 20 chars long",
-        )
-
-        handler = MockJudgeHandler(mock_response=custom_assessment)
-        result = await handler.assess("test", [])
-
-        assert result.details.mechanism_score == expected_score
-        assert result.details.drug_candidates == ["CustomDrug"]
-
-    @pytest.mark.asyncio
-    async def test_mock_handler_insufficient_with_few_evidence(self):
-        """MockJudgeHandler should recommend continue with < 3 evidence."""
-        handler = MockJudgeHandler()
-
-        # Only 2 pieces of evidence
-        evidence = [
-            Evidence(
-                content="Content",
-                citation=Citation(source="pubmed", title="T", url="u", date="2024"),
-            ),
-            Evidence(
-                content="Content 2",
-                citation=Citation(source="pubmed", title="T2", url="u2", date="2024"),
-            ),
-        ]
-
-        result = await handler.assess("test", evidence)
-
-        assert result.sufficient is False
-        assert result.recommendation == "continue"
-        assert len(result.next_search_queries) > 0
diff --git a/tests/unit/agent_factory/test_judges_factory.py b/tests/unit/agent_factory/test_judges_factory.py
deleted file mode 100644
index 037ef87edc32213ae67ac6ae2cd108601e11b0fd..0000000000000000000000000000000000000000
--- a/tests/unit/agent_factory/test_judges_factory.py
+++ /dev/null
@@ -1,74 +0,0 @@
-"""Unit tests for Judge Factory and Model Selection."""
-
-from unittest.mock import patch
-
-import pytest
-
-pytestmark = pytest.mark.unit
-from pydantic_ai.models.anthropic import AnthropicModel
-
-# We expect this import to exist after we implement it, or we mock it if it's not there yet
-# For TDD, we assume we will use the library class
-from pydantic_ai.models.huggingface import HuggingFaceModel
-from pydantic_ai.models.openai import OpenAIChatModel as OpenAIModel
-
-from src.agent_factory.judges import get_model
-
-
-@pytest.fixture
-def mock_settings():
-    with patch("src.agent_factory.judges.settings", autospec=True) as mock_settings:
-        yield mock_settings
-
-
-@pytest.mark.openai
-def test_get_model_openai(mock_settings):
-    """Test that OpenAI model is returned when provider is openai.
-    
-    This test instantiates an OpenAI model and requires OpenAI API key.
-    Marked with @pytest.mark.openai to exclude from pre-commit and CI.
-    """
-    mock_settings.llm_provider = "openai"
-    mock_settings.openai_api_key = "sk-test"
-    mock_settings.openai_model = "gpt-5.1"
-
-    model = get_model()
-    assert isinstance(model, OpenAIModel)
-    assert model.model_name == "gpt-5.1"
-
-
-def test_get_model_anthropic(mock_settings):
-    """Test that Anthropic model is returned when provider is anthropic."""
-    mock_settings.llm_provider = "anthropic"
-    mock_settings.anthropic_api_key = "sk-ant-test"
-    mock_settings.anthropic_model = "claude-sonnet-4-5-20250929"
-    # Ensure no HF token is set, otherwise get_model() will prefer HuggingFace
-    mock_settings.hf_token = None
-    mock_settings.huggingface_api_key = None
-    mock_settings.has_openai_key = False
-    mock_settings.has_anthropic_key = True
-
-    model = get_model()
-    assert isinstance(model, AnthropicModel)
-    assert model.model_name == "claude-sonnet-4-5-20250929"
-
-
-def test_get_model_huggingface(mock_settings):
-    """Test that HuggingFace model is returned when provider is huggingface."""
-    mock_settings.llm_provider = "huggingface"
-    mock_settings.hf_token = "hf_test_token"
-    mock_settings.huggingface_model = "meta-llama/Llama-3.1-70B-Instruct"
-
-    model = get_model()
-    assert isinstance(model, HuggingFaceModel)
-    assert model.model_name == "meta-llama/Llama-3.1-70B-Instruct"
-
-
-def test_get_model_default_fallback(mock_settings):
-    """Test fallback to HuggingFace if provider is unknown."""
-    mock_settings.llm_provider = "unknown_provider"
-    mock_settings.hf_token = "hf_test_token"
-    mock_settings.huggingface_model = "meta-llama/Llama-3.1-8B-Instruct"
-
-    model = get_model()
-    assert isinstance(model, HuggingFaceModel)
diff --git a/tests/unit/agent_factory/test_judges_hf.py b/tests/unit/agent_factory/test_judges_hf.py
deleted file mode 100644
index 7a6eb8e0195c65b629a26042620eb78d4a675f01..0000000000000000000000000000000000000000
--- a/tests/unit/agent_factory/test_judges_hf.py
+++ /dev/null
@@ -1,138 +0,0 @@
-"""Unit tests for HFInferenceJudgeHandler."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.agent_factory.judges import HFInferenceJudgeHandler
-from src.utils.models import Citation, Evidence
-
-
-@pytest.mark.unit
-class TestHFInferenceJudgeHandler:
-    """Tests for HFInferenceJudgeHandler."""
-
-    @pytest.fixture
-    def mock_client(self):
-        """Mock HuggingFace InferenceClient."""
-        with patch("src.agent_factory.judges.InferenceClient") as mock:
-            client_instance = MagicMock()
-            mock.return_value = client_instance
-            yield client_instance
-
-    @pytest.fixture
-    def handler(self, mock_client):
-        """Create a handler instance with mocked client."""
-        return HFInferenceJudgeHandler()
-
-    @pytest.mark.asyncio
-    async def test_assess_success(self, handler, mock_client):
-        """Test successful assessment with primary model."""
-        import json
-
-        # Construct valid JSON payload
-        data = {
-            "details": {
-                "mechanism_score": 8,
-                "mechanism_reasoning": "Good mechanism",
-                "clinical_evidence_score": 7,
-                "clinical_reasoning": "Good clinical",
-                "drug_candidates": ["Drug A"],
-                "key_findings": ["Finding 1"],
-            },
-            "sufficient": True,
-            "confidence": 0.85,
-            "recommendation": "synthesize",
-            "next_search_queries": [],
-            "reasoning": (
-                "Sufficient evidence provided to support the hypothesis with high confidence."
-            ),
-        }
-
-        # Mock chat_completion response structure
-        mock_message = MagicMock()
-        mock_message.content = f"""Here is the analysis:
-```json
-{json.dumps(data)}
-```"""
-        mock_choice = MagicMock()
-        mock_choice.message = mock_message
-        mock_response = MagicMock()
-        mock_response.choices = [mock_choice]
-
-        # Setup async mock for run_in_executor
-        with patch("asyncio.get_running_loop") as mock_loop:
-            mock_loop.return_value.run_in_executor = AsyncMock(return_value=mock_response)
-
-            evidence = [
-                Evidence(
-                    content="test", citation=Citation(source="pubmed", title="t", url="u", date="d")
-                )
-            ]
-            result = await handler.assess("test question", evidence)
-
-            assert result.sufficient is True
-            assert result.confidence == 0.85
-            assert result.details.drug_candidates == ["Drug A"]
-
-    @pytest.mark.asyncio
-    async def test_assess_fallback_logic(self, handler, mock_client):
-        """Test fallback to secondary model when primary fails."""
-
-        # Setup async mock to fail first, then succeed
-        with patch("asyncio.get_running_loop"):
-            # We need to mock the _call_with_retry method directly to test the loop in assess
-            # but _call_with_retry is decorated with tenacity,
-            # which makes it harder to mock partial failures easily
-            # without triggering the tenacity retry loop first.
-            # Instead, let's mock run_in_executor to raise exception on first call
-
-            # This is tricky because assess loops over models,
-            # and for each model _call_with_retry retries.
-            # We want to simulate: Model 1 fails (retries exhausted) -> Model 2 succeeds.
-
-            # Let's patch _call_with_retry to avoid waiting for real retries
-            side_effect = [
-                Exception("Model 1 failed"),
-                Exception("Model 2 failed"),
-                Exception("Model 3 failed"),
-            ]
-            with patch.object(handler, "_call_with_retry", side_effect=side_effect) as mock_call:
-                evidence = []
-                result = await handler.assess("test", evidence)
-
-                # Should have tried all 3 fallback models
-                assert mock_call.call_count == 3
-                # Fallback assessment should indicate failure
-                assert result.sufficient is False
-                assert "failed" in result.reasoning.lower() or "error" in result.reasoning.lower()
-
-    def test_extract_json_robustness(self, handler):
-        """Test JSON extraction with various inputs."""
-
-        # 1. Clean JSON
-        assert handler._extract_json('{"a": 1}') == {"a": 1}
-
-        # 2. Markdown block
-        assert handler._extract_json('```json\n{"a": 1}\n```') == {"a": 1}
-
-        # 3. Text preamble/postamble
-        text = """
-        Sure, here is the JSON:
-        {
-            "a": 1,
-            "b": {
-                "c": 2
-            }
-        }
-        Hope that helps!
-        """
-        assert handler._extract_json(text) == {"a": 1, "b": {"c": 2}}
-
-        # 4. Nested braces
-        nested = '{"a": {"b": "}"}}'
-        assert handler._extract_json(nested) == {"a": {"b": "}"}}
-
-        # 5. Invalid JSON
-        assert handler._extract_json("Not JSON") is None
-        assert handler._extract_json("{Incomplete") is None
diff --git a/tests/unit/agents/__init__.py b/tests/unit/agents/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/unit/agents/test_agent_imports.py b/tests/unit/agents/test_agent_imports.py
deleted file mode 100644
index 4d50df6b7f12cad71d310211a7d910404cfab078..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_agent_imports.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""Test that agent framework dependencies are importable and usable."""
-
-from unittest.mock import MagicMock
-
-import pytest
-
-pytestmark = pytest.mark.unit
-
-# Import conditional on package availability, but for this test we expect it to be there
-try:
-    from agent_framework import ChatAgent
-    from agent_framework.openai import OpenAIChatClient
-except ImportError:
-    ChatAgent = None
-    OpenAIChatClient = None
-
-
-@pytest.mark.skipif(ChatAgent is None, reason="agent-framework-core not installed")
-def test_agent_framework_import():
-    """Test that agent_framework can be imported."""
-    assert ChatAgent is not None
-    assert OpenAIChatClient is not None  # Verify both imports work
-
-
-@pytest.mark.skipif(ChatAgent is None, reason="agent-framework-core not installed")
-def test_chat_agent_instantiation():
-    """Test that ChatAgent can be instantiated with a mock client."""
-    mock_client = MagicMock()
-    # We assume ChatAgent takes chat_client as first argument based on _agents.py source
-    agent = ChatAgent(chat_client=mock_client, name="TestAgent")
-    assert agent.name == "TestAgent"
-    assert agent.chat_client == mock_client
diff --git a/tests/unit/agents/test_audio_refiner.py b/tests/unit/agents/test_audio_refiner.py
deleted file mode 100644
index 162241ab333da8f0070d763c3eaeb3eb2feacd5e..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_audio_refiner.py
+++ /dev/null
@@ -1,306 +0,0 @@
-"""Unit tests for AudioRefiner agent."""
-
-import pytest
-from unittest.mock import AsyncMock, Mock, patch
-
-from src.agents.audio_refiner import AudioRefiner, refine_text_for_audio
-
-
-class TestAudioRefiner:
-    """Test suite for AudioRefiner functionality."""
-
-    @pytest.fixture
-    def refiner(self):
-        """Create AudioRefiner instance."""
-        return AudioRefiner()
-
-    def test_remove_markdown_headers(self, refiner):
-        """Test removal of markdown headers."""
-        text = """# Main Title
-## Subtitle
-### Section
-Content here"""
-        result = refiner._remove_markdown_syntax(text)
-        assert "#" not in result
-        assert "Main Title" in result
-        assert "Subtitle" in result
-
-    def test_remove_bold_italic(self, refiner):
-        """Test removal of bold and italic formatting."""
-        text = "**Bold text** and *italic text* and __another bold__"
-        result = refiner._remove_markdown_syntax(text)
-        assert "**" not in result
-        assert "*" not in result
-        assert "__" not in result
-        assert "Bold text" in result
-        assert "italic text" in result
-
-    def test_remove_links(self, refiner):
-        """Test removal of markdown links."""
-        text = "Check [this link](https://example.com) for details"
-        result = refiner._remove_markdown_syntax(text)
-        assert "[" not in result
-        assert "]" not in result
-        assert "https://" not in result
-        assert "this link" in result
-
-    def test_remove_citations_numbered(self, refiner):
-        """Test removal of numbered citations."""
-        text = "Research shows [1] that metformin [2,3] works [4-6]."
-        result = refiner._remove_citations(text)
-        assert "[1]" not in result
-        assert "[2,3]" not in result
-        assert "[4-6]" not in result
-        assert "Research shows" in result
-
-    def test_remove_citations_author_year(self, refiner):
-        """Test removal of author-year citations."""
-        text = "Studies (Smith et al., 2023) and (Jones, 2022) confirm this."
-        result = refiner._remove_citations(text)
-        assert "(Smith et al., 2023)" not in result
-        assert "(Jones, 2022)" not in result
-        assert "Studies" in result
-        assert "confirm this" in result
-
-    def test_remove_first_references_section(self, refiner):
-        """Test that References sections are removed while preserving other content."""
-        text = """Main content here.
-
-# References
-[1] First reference
-[2] Second reference
-
-# More Content
-This should remain.
-
-## References
-This second References should also be removed."""
-
-        result = refiner._remove_references_sections(text)
-        assert "Main content here" in result
-        assert "References" not in result
-        assert "First reference" not in result
-        assert "More Content" in result  # Content after References should be preserved
-        assert "This should remain" in result
-        assert "second References should also be removed" not in result  # Second References section removed
-
-    def test_roman_to_int_conversion(self, refiner):
-        """Test roman numeral to integer conversion."""
-        assert refiner._roman_to_int("I") == 1
-        assert refiner._roman_to_int("II") == 2
-        assert refiner._roman_to_int("III") == 3
-        assert refiner._roman_to_int("IV") == 4
-        assert refiner._roman_to_int("V") == 5
-        assert refiner._roman_to_int("IX") == 9
-        assert refiner._roman_to_int("X") == 10
-        assert refiner._roman_to_int("XII") == 12
-        assert refiner._roman_to_int("XX") == 20
-
-    def test_int_to_word_conversion(self, refiner):
-        """Test integer to word conversion."""
-        assert refiner._int_to_word(1) == "One"
-        assert refiner._int_to_word(2) == "Two"
-        assert refiner._int_to_word(3) == "Three"
-        assert refiner._int_to_word(10) == "Ten"
-        assert refiner._int_to_word(20) == "Twenty"
-        assert refiner._int_to_word(25) == "25"  # Falls back to digit
-
-    def test_convert_roman_numerals_with_context(self, refiner):
-        """Test roman numeral conversion with context words."""
-        test_cases = [
-            ("Phase I trial", "Phase One trial"),
-            ("Phase II study", "Phase Two study"),
-            ("Phase III data", "Phase Three data"),
-            ("Type I diabetes", "Type One diabetes"),
-            ("Type II error", "Type Two error"),
-            ("Stage IV cancer", "Stage Four cancer"),
-            ("Trial I results", "Trial One results"),
-        ]
-
-        for input_text, expected in test_cases:
-            result = refiner._convert_roman_numerals(input_text)
-            assert expected in result, f"Failed for: {input_text}"
-
-    def test_convert_standalone_roman_numerals(self, refiner):
-        """Test standalone roman numeral conversion."""
-        text = "Results for I, II, and III are positive."
-        result = refiner._convert_roman_numerals(text)
-        # Standalone roman numerals should be converted
-        assert "One" in result or "Two" in result or "Three" in result
-
-    def test_dont_convert_roman_in_words(self, refiner):
-        """Test that roman numerals inside words aren't converted."""
-        text = "INVALID data fromIXIN compound"
-        result = refiner._convert_roman_numerals(text)
-        # Should not break words containing I, V, X, etc.
-        assert "INVALID" in result or "Invalid" in result  # May be case-normalized
-
-    def test_clean_special_characters(self, refiner):
-        """Test special character cleanup."""
-        # Using unicode escapes to avoid syntax issues
-        text = "Text with \u2014 em-dash and \u201csmart quotes\u201d and \u2018apostrophes\u2019."
-        result = refiner._clean_special_characters(text)
-        assert "\u2014" not in result  # em-dash
-        assert "\u201c" not in result  # smart quote open
-        assert "\u2018" not in result  # smart apostrophe
-        assert "-" in result
-
-    def test_normalize_whitespace(self, refiner):
-        """Test whitespace normalization."""
-        text = "Text  with   multiple    spaces\n\n\n\nand many newlines"
-        result = refiner._normalize_whitespace(text)
-        assert "  " not in result  # No double spaces
-        assert "\n\n\n" not in result  # Max two newlines
-
-    async def test_full_refine_workflow(self, refiner):
-        """Test complete refinement workflow."""
-        markdown_text = """# Summary
-
-**Metformin** shows promise for *long COVID* treatment [1].
-
-## Phase I Trials
-
-Research (Smith et al., 2023) indicates [2,3]:
-- 50% improvement
-- Low side effects
-
-Check [this study](https://example.com) for details.
-
-# References
-[1] Smith, J. et al. (2023)
-[2] Jones, K. (2022)
-"""
-
-        result = await refiner.refine_for_audio(markdown_text)
-
-        # Check markdown removed
-        assert "#" not in result
-        assert "**" not in result
-        assert "*" not in result
-
-        # Check citations removed
-        assert "[1]" not in result
-        assert "(Smith et al., 2023)" not in result
-
-        # Check roman numerals converted
-        assert "Phase One" in result
-
-        # Check references section removed
-        assert "References" not in result
-        assert "Smith, J. et al." not in result
-
-        # Check content preserved
-        assert "Metformin" in result
-        assert "long COVID" in result
-
-    async def test_convenience_function(self):
-        """Test convenience function."""
-        text = "**Bold** text with [link](url)"
-        result = await refine_text_for_audio(text)
-        assert "**" not in result
-        assert "[link]" not in result
-        assert "Bold" in result
-
-    async def test_empty_text(self, refiner):
-        """Test handling of empty text."""
-        assert await refiner.refine_for_audio("") == ""
-        assert await refiner.refine_for_audio("   ") == ""
-
-    async def test_no_references_section(self, refiner):
-        """Test text without References section."""
-        text = "Main content without references."
-        result = await refiner.refine_for_audio(text)
-        assert "Main content without references" in result
-
-    def test_multiple_reference_formats(self, refiner):
-        """Test different References section formats."""
-        formats = [
-            ("# References\nContent", True),  # Markdown header - will be removed
-            ("## References\nContent", True),  # Markdown header - will be removed
-            ("**References**\nContent", True),  # Bold heading - will be removed
-            ("References:\nContent", False),  # Standalone without markers - NOT removed (edge case)
-        ]
-
-        for format_text, should_remove in formats:
-            text = f"Main content\n{format_text}"
-            result = refiner._remove_references_sections(text)
-            assert "Main content" in result
-            if should_remove:
-                assert "References" not in result or result.count("References") == 0
-            # Standalone "References:" without markers is an edge case we don't handle
-
-    def test_preserve_paragraph_structure(self, refiner):
-        """Test that paragraph structure is preserved."""
-        text = "First paragraph.\n\nSecond paragraph.\n\nThird paragraph."
-
-        result = refiner._normalize_whitespace(text)
-        # Should have paragraph breaks (double newlines)
-        assert "\n\n" in result
-        # But not excessive newlines
-        assert "\n\n\n" not in result
-
-    @patch('src.agents.audio_refiner.get_pydantic_ai_model')
-    async def test_llm_polish_disabled_by_default(self, mock_get_model, refiner):
-        """Test that LLM polish is not called by default."""
-        text = "Test text"
-        result = await refiner.refine_for_audio(text, use_llm_polish=False)
-
-        # LLM should not be called when disabled
-        mock_get_model.assert_not_called()
-        assert "Test text" in result
-
-    @patch('src.agents.audio_refiner.Agent')
-    @patch('src.agents.audio_refiner.get_pydantic_ai_model')
-    async def test_llm_polish_enabled(self, mock_get_model, mock_agent_class, refiner):
-        """Test that LLM polish is called when enabled."""
-        # Setup mock
-        mock_model = Mock()
-        mock_get_model.return_value = mock_model
-
-        mock_agent_instance = Mock()
-        mock_result = Mock()
-        mock_result.output = "Polished text"
-        mock_agent_instance.run = AsyncMock(return_value=mock_result)
-        mock_agent_class.return_value = mock_agent_instance
-
-        # Test with LLM polish enabled
-        text = "**Test** text"
-        result = await refiner.refine_for_audio(text, use_llm_polish=True)
-
-        # Verify LLM was called
-        mock_get_model.assert_called_once()
-        mock_agent_class.assert_called_once()
-        mock_agent_instance.run.assert_called_once()
-
-        assert result == "Polished text"
-
-    @patch('src.agents.audio_refiner.Agent')
-    @patch('src.agents.audio_refiner.get_pydantic_ai_model')
-    async def test_llm_polish_graceful_fallback(self, mock_get_model, mock_agent_class, refiner):
-        """Test graceful fallback when LLM polish fails."""
-        # Setup mock to raise exception
-        mock_get_model.return_value = Mock()
-        mock_agent_instance = Mock()
-        mock_agent_instance.run = AsyncMock(side_effect=Exception("API Error"))
-        mock_agent_class.return_value = mock_agent_instance
-
-        # Test with LLM polish enabled but failing
-        text = "Test text"
-        result = await refiner.refine_for_audio(text, use_llm_polish=True)
-
-        # Should fall back to rule-based output
-        assert "Test text" in result
-        assert result != ""  # Should not be empty
-
-    async def test_convenience_function_with_llm_polish(self):
-        """Test convenience function with LLM polish parameter."""
-        with patch.object(AudioRefiner, 'refine_for_audio') as mock_refine:
-            mock_refine.return_value = AsyncMock(return_value="Refined text")()
-
-            # Test without LLM polish
-            result = await refine_text_for_audio("Test", use_llm_polish=False)
-            mock_refine.assert_called_with("Test", use_llm_polish=False)
-
-            # Test with LLM polish
-            result = await refine_text_for_audio("Test", use_llm_polish=True)
-            mock_refine.assert_called_with("Test", use_llm_polish=True)
diff --git a/tests/unit/agents/test_hypothesis_agent.py b/tests/unit/agents/test_hypothesis_agent.py
deleted file mode 100644
index be9b8768b5fed19198ee3d721fff50dd9de8c44c..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_hypothesis_agent.py
+++ /dev/null
@@ -1,107 +0,0 @@
-"""Unit tests for HypothesisAgent."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-pytest.importorskip("agent_framework")
-from agent_framework import AgentRunResponse
-
-from src.agents.hypothesis_agent import HypothesisAgent
-from src.utils.models import Citation, Evidence, HypothesisAssessment, MechanismHypothesis
-
-
-@pytest.fixture
-def sample_evidence():
-    return [
-        Evidence(
-            content="Metformin activates AMPK, which inhibits mTOR signaling...",
-            citation=Citation(
-                source="pubmed",
-                title="Metformin and AMPK",
-                url="https://pubmed.ncbi.nlm.nih.gov/12345/",
-                date="2023",
-            ),
-        )
-    ]
-
-
-@pytest.fixture
-def mock_assessment():
-    return HypothesisAssessment(
-        hypotheses=[
-            MechanismHypothesis(
-                drug="Metformin",
-                target="AMPK",
-                pathway="mTOR inhibition",
-                effect="Reduced cancer cell proliferation",
-                confidence=0.75,
-                search_suggestions=["metformin AMPK cancer", "mTOR cancer therapy"],
-            )
-        ],
-        primary_hypothesis=None,
-        knowledge_gaps=["Clinical trial data needed"],
-        recommended_searches=["metformin clinical trial cancer"],
-    )
-
-
-@pytest.mark.asyncio
-async def test_hypothesis_agent_generates_hypotheses(sample_evidence, mock_assessment):
-    """HypothesisAgent should generate mechanistic hypotheses."""
-    store = {"current": sample_evidence, "hypotheses": []}
-
-    with patch("src.agents.hypothesis_agent.get_model") as mock_get_model:
-        with patch("src.agents.hypothesis_agent.Agent") as mock_agent_class:
-            mock_get_model.return_value = MagicMock()  # Mock model
-            mock_result = MagicMock()
-            mock_result.output = mock_assessment
-            # pydantic-ai Agent returns an object with .output for structured output
-            mock_agent_class.return_value.run = AsyncMock(return_value=mock_result)
-
-            agent = HypothesisAgent(store)
-            response = await agent.run("metformin cancer")
-
-            assert isinstance(response, AgentRunResponse)
-            assert "AMPK" in response.messages[0].text
-            assert len(store["hypotheses"]) == 1
-            assert store["hypotheses"][0].drug == "Metformin"
-
-
-@pytest.mark.asyncio
-async def test_hypothesis_agent_no_evidence():
-    """HypothesisAgent should handle empty evidence gracefully."""
-    store = {"current": [], "hypotheses": []}
-
-    # No need to mock Agent/get_model - empty evidence returns early
-    agent = HypothesisAgent(store)
-    response = await agent.run("test query")
-
-    assert "No evidence" in response.messages[0].text
-    assert len(store["hypotheses"]) == 0
-
-
-@pytest.mark.asyncio
-async def test_hypothesis_agent_uses_embeddings(sample_evidence, mock_assessment):
-    """HypothesisAgent should pass embeddings to prompt formatter."""
-    store = {"current": sample_evidence, "hypotheses": []}
-    mock_embeddings = MagicMock()
-
-    with patch("src.agents.hypothesis_agent.get_model") as mock_get_model:
-        with patch("src.agents.hypothesis_agent.Agent") as mock_agent_class:
-            # Mock format_hypothesis_prompt to check if embeddings were passed
-            with patch("src.agents.hypothesis_agent.format_hypothesis_prompt") as mock_format:
-                mock_get_model.return_value = MagicMock()  # Mock model
-                mock_format.return_value = "Prompt"
-
-                mock_result = MagicMock()
-                mock_result.output = mock_assessment
-                mock_agent_class.return_value.run = AsyncMock(return_value=mock_result)
-
-                agent = HypothesisAgent(store, embedding_service=mock_embeddings)
-                await agent.run("query")
-
-                mock_format.assert_called_once()
-                _args, kwargs = mock_format.call_args
-                assert kwargs["embeddings"] == mock_embeddings
-                assert _args[0] == "query"  # First positional arg is query
-                assert _args[1] == sample_evidence  # Second positional arg is evidence
diff --git a/tests/unit/agents/test_input_parser.py b/tests/unit/agents/test_input_parser.py
deleted file mode 100644
index f0c1075b6f63efcfeee831b8d55e4064971700bb..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_input_parser.py
+++ /dev/null
@@ -1,327 +0,0 @@
-"""Unit tests for InputParserAgent."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-from pydantic_ai import AgentRunResult
-
-from src.agents.input_parser import InputParserAgent, create_input_parser_agent
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import ParsedQuery
-
-
-@pytest.fixture
-def mock_model(mock_hf_model):
-    """Create a HuggingFace model for testing.
-    
-    Uses the mock_hf_model from conftest which is a real HuggingFaceModel
-    instance with mocked InferenceClient to prevent real API calls.
-    """
-    return mock_hf_model
-
-
-@pytest.fixture
-def mock_parsed_query_iterative() -> ParsedQuery:
-    """Create a mock ParsedQuery for iterative mode."""
-    return ParsedQuery(
-        original_query="What is the mechanism of metformin?",
-        improved_query="What is the molecular mechanism of action of metformin in diabetes treatment?",
-        research_mode="iterative",
-        key_entities=["metformin", "diabetes"],
-        research_questions=["What is metformin's mechanism of action?"],
-    )
-
-
-@pytest.fixture
-def mock_parsed_query_deep() -> ParsedQuery:
-    """Create a mock ParsedQuery for deep mode."""
-    return ParsedQuery(
-        original_query="Write a comprehensive report on diabetes treatment",
-        improved_query="Provide a comprehensive analysis of diabetes treatment options, including mechanisms, clinical evidence, and market analysis",
-        research_mode="deep",
-        key_entities=["diabetes", "treatment"],
-        research_questions=[
-            "What are the main treatment options for diabetes?",
-            "What is the clinical evidence for each treatment?",
-            "What is the market size for diabetes treatments?",
-        ],
-    )
-
-
-@pytest.fixture
-def mock_agent_result_iterative(
-    mock_parsed_query_iterative: ParsedQuery,
-) -> AgentRunResult[ParsedQuery]:
-    """Create a mock agent result for iterative mode."""
-    result = MagicMock(spec=AgentRunResult)
-    result.output = mock_parsed_query_iterative
-    return result
-
-
-@pytest.fixture
-def mock_agent_result_deep(
-    mock_parsed_query_deep: ParsedQuery,
-) -> AgentRunResult[ParsedQuery]:
-    """Create a mock agent result for deep mode."""
-    result = MagicMock(spec=AgentRunResult)
-    result.output = mock_parsed_query_deep
-    return result
-
-
-@pytest.fixture
-def input_parser_agent(mock_model: MagicMock) -> InputParserAgent:
-    """Create an InputParserAgent instance with mocked model."""
-    return InputParserAgent(model=mock_model)
-
-
-class TestInputParserAgentInit:
-    """Test InputParserAgent initialization."""
-
-    def test_input_parser_agent_init_with_model(self, mock_model: MagicMock) -> None:
-        """Test InputParserAgent initialization with provided model."""
-        agent = InputParserAgent(model=mock_model)
-        assert agent.model == mock_model
-        assert agent.agent is not None
-
-    @patch("src.agents.input_parser.get_model")
-    def test_input_parser_agent_init_without_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test InputParserAgent initialization without model (uses default)."""
-        mock_get_model.return_value = mock_model
-        agent = InputParserAgent()
-        assert agent.model == mock_model
-        mock_get_model.assert_called_once()
-
-    def test_input_parser_agent_has_correct_system_prompt(
-        self, input_parser_agent: InputParserAgent
-    ) -> None:
-        """Test that InputParserAgent has correct system prompt."""
-        # System prompt should contain key instructions
-        # In pydantic_ai, system_prompt is a property that returns the prompt string
-        # For mocked agents, we check that the agent was created with a system prompt
-        assert input_parser_agent.agent is not None
-        # The actual system prompt is set during agent creation
-        # We verify the agent exists and was properly initialized
-        # Note: Direct access to system_prompt may not work with mocks
-        # This test verifies the agent structure is correct
-
-
-class TestParse:
-    """Test parse() method."""
-
-    @pytest.mark.asyncio
-    async def test_parse_iterative_query(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_iterative: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test parsing a simple query that should return iterative mode."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_iterative)
-
-        query = "What is the mechanism of metformin?"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert result.research_mode == "iterative"
-        assert result.original_query == query
-        assert "metformin" in result.key_entities
-        assert input_parser_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_parse_deep_query(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_deep: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test parsing a complex query that should return deep mode."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_deep)
-
-        query = "Write a comprehensive report on diabetes treatment"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert result.research_mode == "deep"
-        assert result.original_query == query
-        assert len(result.research_questions) > 0
-        assert input_parser_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_parse_improves_query(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_iterative: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test that parse() improves the query."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_iterative)
-
-        query = "metformin mechanism"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert result.improved_query != result.original_query
-        assert len(result.improved_query) >= len(result.original_query)
-
-    @pytest.mark.asyncio
-    async def test_parse_extracts_entities(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_iterative: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test that parse() extracts key entities."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_iterative)
-
-        query = "What is the mechanism of metformin?"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert len(result.key_entities) > 0
-        assert "metformin" in result.key_entities
-
-    @pytest.mark.asyncio
-    async def test_parse_extracts_research_questions(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_deep: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test that parse() extracts research questions."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_deep)
-
-        query = "Write a comprehensive report on diabetes treatment"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert len(result.research_questions) > 0
-
-    @pytest.mark.asyncio
-    async def test_parse_handles_missing_improved_query(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test that parse() handles missing improved_query gracefully."""
-        # Create a result with missing improved_query
-        mock_result = MagicMock(spec=AgentRunResult)
-        mock_parsed = ParsedQuery(
-            original_query="test query",
-            improved_query="",  # Empty improved query
-            research_mode="iterative",
-            key_entities=[],
-            research_questions=[],
-        )
-        mock_result.output = mock_parsed
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_result)
-
-        query = "test query"
-        result = await input_parser_agent.parse(query)
-
-        # Should use original_query as fallback
-        assert isinstance(result, ParsedQuery)
-        assert result.improved_query == result.original_query
-
-    @pytest.mark.asyncio
-    async def test_parse_fallback_to_heuristic_on_error(
-        self, input_parser_agent: InputParserAgent
-    ) -> None:
-        """Test that parse() falls back to heuristic when agent fails."""
-        # Make agent.run raise an exception
-        input_parser_agent.agent.run = AsyncMock(side_effect=Exception("Agent failed"))
-
-        # Query with "comprehensive" should trigger deep mode heuristic
-        query = "Write a comprehensive report on diabetes"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert result.research_mode == "deep"  # Heuristic should detect "comprehensive"
-        assert result.original_query == query
-        assert result.improved_query == query  # No improvement on fallback
-
-    @pytest.mark.asyncio
-    async def test_parse_heuristic_iterative_mode(
-        self, input_parser_agent: InputParserAgent
-    ) -> None:
-        """Test that parse() heuristic correctly identifies iterative mode."""
-        # Make agent.run raise an exception
-        input_parser_agent.agent.run = AsyncMock(side_effect=Exception("Agent failed"))
-
-        # Simple query should trigger iterative mode heuristic
-        query = "What is metformin?"
-        result = await input_parser_agent.parse(query)
-
-        assert isinstance(result, ParsedQuery)
-        assert result.research_mode == "iterative"
-        assert result.original_query == query
-
-
-class TestCreateInputParserAgent:
-    """Test create_input_parser_agent() factory function."""
-
-    @patch("src.agents.input_parser.get_model")
-    def test_create_input_parser_agent_with_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test factory function with provided model."""
-        agent = create_input_parser_agent(model=mock_model)
-        assert isinstance(agent, InputParserAgent)
-        assert agent.model == mock_model
-        mock_get_model.assert_not_called()
-
-    @patch("src.agents.input_parser.get_model")
-    def test_create_input_parser_agent_without_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test factory function without model (uses default)."""
-        mock_get_model.return_value = mock_model
-        agent = create_input_parser_agent()
-        assert isinstance(agent, InputParserAgent)
-        assert agent.model == mock_model
-        mock_get_model.assert_called_once()
-
-    @patch("src.agents.input_parser.get_model")
-    def test_create_input_parser_agent_handles_error(self, mock_get_model: MagicMock) -> None:
-        """Test factory function handles errors gracefully."""
-        mock_get_model.side_effect = Exception("Model creation failed")
-        with pytest.raises(ConfigurationError, match="Failed to create input parser agent"):
-            create_input_parser_agent()
-
-
-class TestResearchModeDetection:
-    """Test research mode detection logic."""
-
-    @pytest.mark.asyncio
-    async def test_detects_iterative_mode_for_simple_queries(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_iterative: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test that simple queries are detected as iterative."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_iterative)
-
-        simple_queries = [
-            "What is the mechanism of metformin?",
-            "Find clinical trials for drug X",
-            "What is the capital of France?",
-        ]
-
-        for query in simple_queries:
-            result = await input_parser_agent.parse(query)
-            assert result.research_mode == "iterative", f"Query '{query}' should be iterative"
-
-    @pytest.mark.asyncio
-    async def test_detects_deep_mode_for_complex_queries(
-        self,
-        input_parser_agent: InputParserAgent,
-        mock_agent_result_deep: AgentRunResult[ParsedQuery],
-    ) -> None:
-        """Test that complex queries are detected as deep."""
-        input_parser_agent.agent.run = AsyncMock(return_value=mock_agent_result_deep)
-
-        complex_queries = [
-            "Write a comprehensive report on diabetes treatment",
-            "Analyze the market for quantum computing",
-            "Provide a detailed analysis of AI trends",
-        ]
-
-        for query in complex_queries:
-            result = await input_parser_agent.parse(query)
-            assert result.research_mode == "deep", f"Query '{query}' should be deep"
diff --git a/tests/unit/agents/test_judge_agent.py b/tests/unit/agents/test_judge_agent.py
deleted file mode 100644
index 75fbc704e9f55c9c733609b8c9a2b0c5053df6ed..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_judge_agent.py
+++ /dev/null
@@ -1,128 +0,0 @@
-"""Unit tests for JudgeAgent."""
-
-from unittest.mock import AsyncMock
-
-import pytest
-
-# Skip all tests if agent_framework not installed (optional dep)
-pytest.importorskip("agent_framework")
-
-from agent_framework import ChatMessage, Role
-
-from src.agents.judge_agent import JudgeAgent
-from src.utils.models import AssessmentDetails, Citation, Evidence, JudgeAssessment
-
-
-@pytest.fixture
-def mock_assessment() -> JudgeAssessment:
-    """Create a mock JudgeAssessment."""
-    return JudgeAssessment(
-        details=AssessmentDetails(
-            mechanism_score=8,
-            mechanism_reasoning="Strong mechanism evidence",
-            clinical_evidence_score=7,
-            clinical_reasoning="Good clinical data",
-            drug_candidates=["Metformin"],
-            key_findings=["Key finding 1"],
-        ),
-        sufficient=True,
-        confidence=0.85,
-        recommendation="synthesize",
-        next_search_queries=[],
-        reasoning="Evidence is sufficient for synthesis",
-    )
-
-
-@pytest.fixture
-def mock_handler(mock_assessment: JudgeAssessment) -> AsyncMock:
-    """Mock judge handler."""
-    handler = AsyncMock()
-    handler.assess.return_value = mock_assessment
-    return handler
-
-
-@pytest.fixture
-def sample_evidence() -> list[Evidence]:
-    """Sample evidence for tests."""
-    return [
-        Evidence(
-            content="Test content",
-            citation=Citation(
-                source="pubmed",
-                title="Test Title",
-                url="http://test.com",
-                date="2023",
-            ),
-        )
-    ]
-
-
-@pytest.mark.asyncio
-async def test_run_assesses_evidence(
-    mock_handler: AsyncMock,
-    sample_evidence: list[Evidence],
-) -> None:
-    """Test that run assesses evidence from store."""
-    store: dict = {"current": sample_evidence}
-    agent = JudgeAgent(mock_handler, store)
-
-    response = await agent.run("test question")
-
-    # Check handler called with evidence from store
-    mock_handler.assess.assert_awaited_once()
-    call_args = mock_handler.assess.call_args
-    assert call_args[0][0] == "test question"
-    assert call_args[0][1] == sample_evidence
-
-    # Check response
-    assert response.messages[0].role == Role.ASSISTANT
-    assert "synthesize" in response.messages[0].text
-
-
-@pytest.mark.asyncio
-async def test_run_handles_chat_message_input(
-    mock_handler: AsyncMock,
-    sample_evidence: list[Evidence],
-) -> None:
-    """Test that run handles ChatMessage input."""
-    store: dict = {"current": sample_evidence}
-    agent = JudgeAgent(mock_handler, store)
-
-    message = ChatMessage(role=Role.USER, text="test question")
-    await agent.run(message)
-
-    mock_handler.assess.assert_awaited_once()
-    assert mock_handler.assess.call_args[0][0] == "test question"
-
-
-@pytest.mark.asyncio
-async def test_run_handles_list_input(
-    mock_handler: AsyncMock,
-    sample_evidence: list[Evidence],
-) -> None:
-    """Test that run handles list of messages."""
-    store: dict = {"current": sample_evidence}
-    agent = JudgeAgent(mock_handler, store)
-
-    messages = [
-        ChatMessage(role=Role.SYSTEM, text="sys"),
-        ChatMessage(role=Role.USER, text="test question"),
-    ]
-    await agent.run(messages)
-
-    mock_handler.assess.assert_awaited_once()
-    assert mock_handler.assess.call_args[0][0] == "test question"
-
-
-@pytest.mark.asyncio
-async def test_run_uses_empty_evidence_when_store_empty(
-    mock_handler: AsyncMock,
-) -> None:
-    """Test that run works with empty evidence store."""
-    store: dict = {"current": []}
-    agent = JudgeAgent(mock_handler, store)
-
-    await agent.run("test")
-
-    mock_handler.assess.assert_awaited_once()
-    assert mock_handler.assess.call_args[0][1] == []
diff --git a/tests/unit/agents/test_long_writer.py b/tests/unit/agents/test_long_writer.py
deleted file mode 100644
index b99b87dbb4d5fa7345a9cb302d08bd33de6be795..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_long_writer.py
+++ /dev/null
@@ -1,515 +0,0 @@
-"""Unit tests for LongWriterAgent."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-from pydantic_ai import AgentRunResult
-
-from src.agents.long_writer import LongWriterAgent, LongWriterOutput, create_long_writer_agent
-from src.utils.models import ReportDraft, ReportDraftSection
-
-
-@pytest.fixture
-def mock_model() -> MagicMock:
-    """Create a mock Pydantic AI model."""
-    model = MagicMock()
-    model.name = "test-model"
-    return model
-
-
-@pytest.fixture
-def mock_long_writer_output() -> LongWriterOutput:
-    """Create a mock LongWriterOutput."""
-    return LongWriterOutput(
-        next_section_markdown="## Test Section\n\nContent with citation [1].",
-        references=["[1] https://example.com"],
-    )
-
-
-@pytest.fixture
-def mock_agent_result(
-    mock_long_writer_output: LongWriterOutput,
-) -> AgentRunResult[LongWriterOutput]:
-    """Create a mock agent result."""
-    result = MagicMock(spec=AgentRunResult)
-    result.output = mock_long_writer_output
-    return result
-
-
-@pytest.fixture
-def long_writer_agent(mock_model: MagicMock) -> LongWriterAgent:
-    """Create a LongWriterAgent instance with mocked model."""
-    return LongWriterAgent(model=mock_model)
-
-
-@pytest.fixture
-def sample_report_draft() -> ReportDraft:
-    """Create a sample ReportDraft for testing."""
-    return ReportDraft(
-        sections=[
-            ReportDraftSection(
-                section_title="Introduction",
-                section_content="Introduction content with [1].",
-            ),
-            ReportDraftSection(
-                section_title="Methods",
-                section_content="Methods content with [2].",
-            ),
-        ]
-    )
-
-
-class TestLongWriterAgentInit:
-    """Test LongWriterAgent initialization."""
-
-    def test_long_writer_agent_init_with_model(self, mock_model: MagicMock) -> None:
-        """Test LongWriterAgent initialization with provided model."""
-        agent = LongWriterAgent(model=mock_model)
-        assert agent.model == mock_model
-        assert agent.agent is not None
-
-    @patch("src.agents.long_writer.get_model")
-    def test_long_writer_agent_init_without_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test LongWriterAgent initialization without model (uses default)."""
-        mock_get_model.return_value = mock_model
-        agent = LongWriterAgent()
-        assert agent.model == mock_model
-        mock_get_model.assert_called_once()
-
-    def test_long_writer_agent_has_structured_output(
-        self, long_writer_agent: LongWriterAgent
-    ) -> None:
-        """Test that LongWriterAgent uses structured output."""
-        assert long_writer_agent.agent.output_type == LongWriterOutput
-
-
-class TestWriteNextSection:
-    """Test write_next_section() method."""
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_basic(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test basic section writing."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        original_query = "Test query"
-        report_draft = "## Existing Section\n\nContent"
-        next_section_title = "New Section"
-        next_section_draft = "Draft content"
-
-        result = await long_writer_agent.write_next_section(
-            original_query=original_query,
-            report_draft=report_draft,
-            next_section_title=next_section_title,
-            next_section_draft=next_section_draft,
-        )
-
-        assert isinstance(result, LongWriterOutput)
-        assert result.next_section_markdown is not None
-        assert isinstance(result.references, list)
-        assert long_writer_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_first_section(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test writing the first section (no existing draft)."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        original_query = "Test query"
-        report_draft = ""  # No existing draft
-        next_section_title = "First Section"
-        next_section_draft = "Draft content"
-
-        result = await long_writer_agent.write_next_section(
-            original_query=original_query,
-            report_draft=report_draft,
-            next_section_title=next_section_title,
-            next_section_draft=next_section_draft,
-        )
-
-        assert isinstance(result, LongWriterOutput)
-        # Check that "No draft yet" was included in prompt
-        call_args = long_writer_agent.agent.run.call_args[0][0]
-        assert "No draft yet" in call_args or report_draft in call_args
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_with_existing_draft(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test writing section with existing draft."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        original_query = "Test query"
-        report_draft = "## Previous Section\n\nPrevious content"
-        next_section_title = "Next Section"
-        next_section_draft = "Next draft"
-
-        result = await long_writer_agent.write_next_section(
-            original_query=original_query,
-            report_draft=report_draft,
-            next_section_title=next_section_title,
-            next_section_draft=next_section_draft,
-        )
-
-        assert isinstance(result, LongWriterOutput)
-        # Check that existing draft was included in prompt
-        call_args = long_writer_agent.agent.run.call_args[0][0]
-        assert "Previous Section" in call_args
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_returns_references(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test that write_next_section returns references."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await long_writer_agent.write_next_section(
-            original_query="Test",
-            report_draft="",
-            next_section_title="Test",
-            next_section_draft="Test",
-        )
-
-        assert isinstance(result.references, list)
-        assert len(result.references) > 0
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_handles_empty_draft(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test writing section with empty draft."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await long_writer_agent.write_next_section(
-            original_query="Test",
-            report_draft="",
-            next_section_title="Test",
-            next_section_draft="",
-        )
-
-        assert isinstance(result, LongWriterOutput)
-
-    @pytest.mark.asyncio
-    async def test_write_next_section_llm_failure(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test write_next_section handles LLM failures gracefully."""
-        long_writer_agent.agent.run = AsyncMock(side_effect=Exception("LLM error"))
-
-        result = await long_writer_agent.write_next_section(
-            original_query="Test",
-            report_draft="",
-            next_section_title="Test",
-            next_section_draft="Test",
-        )
-
-        # Should return fallback section
-        assert isinstance(result, LongWriterOutput)
-        assert "Test" in result.next_section_markdown
-        assert result.references == []
-
-
-class TestWriteReport:
-    """Test write_report() method."""
-
-    @pytest.mark.asyncio
-    async def test_write_report_complete_flow(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test complete report writing flow."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        original_query = "Test query"
-        report_title = "Test Report"
-
-        result = await long_writer_agent.write_report(
-            original_query=original_query,
-            report_title=report_title,
-            report_draft=sample_report_draft,
-        )
-
-        assert isinstance(result, str)
-        assert report_title in result
-        assert "Table of Contents" in result
-        assert "Introduction" in result
-        assert "Methods" in result
-        # Should have called write_next_section for each section
-        assert long_writer_agent.agent.run.call_count == len(sample_report_draft.sections)
-
-    @pytest.mark.asyncio
-    async def test_write_report_single_section(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-    ) -> None:
-        """Test writing report with single section."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="Single Section",
-                    section_content="Content",
-                )
-            ]
-        )
-
-        result = await long_writer_agent.write_report(
-            original_query="Test",
-            report_title="Test Report",
-            report_draft=report_draft,
-        )
-
-        assert isinstance(result, str)
-        assert "Single Section" in result
-        assert long_writer_agent.agent.run.call_count == 1
-
-    @pytest.mark.asyncio
-    async def test_write_report_multiple_sections(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test writing report with multiple sections."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await long_writer_agent.write_report(
-            original_query="Test",
-            report_title="Test Report",
-            report_draft=sample_report_draft,
-        )
-
-        assert isinstance(result, str)
-        assert sample_report_draft.sections[0].section_title in result
-        assert sample_report_draft.sections[1].section_title in result
-        assert long_writer_agent.agent.run.call_count == len(sample_report_draft.sections)
-
-    @pytest.mark.asyncio
-    async def test_write_report_creates_table_of_contents(
-        self,
-        long_writer_agent: LongWriterAgent,
-        mock_agent_result: AgentRunResult[LongWriterOutput],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test that write_report creates table of contents."""
-        long_writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await long_writer_agent.write_report(
-            original_query="Test",
-            report_title="Test Report",
-            report_draft=sample_report_draft,
-        )
-
-        assert "Table of Contents" in result
-        assert "1. Introduction" in result
-        assert "2. Methods" in result
-
-    @pytest.mark.asyncio
-    async def test_write_report_aggregates_references(
-        self,
-        long_writer_agent: LongWriterAgent,
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test that write_report aggregates references from all sections."""
-        # Create different outputs for each section
-        output1 = LongWriterOutput(
-            next_section_markdown="## Introduction\n\nContent [1].",
-            references=["[1] https://example.com/1"],
-        )
-        output2 = LongWriterOutput(
-            next_section_markdown="## Methods\n\nContent [1].",
-            references=["[1] https://example.com/2"],
-        )
-
-        result1 = MagicMock(spec=AgentRunResult)
-        result1.output = output1
-        result2 = MagicMock(spec=AgentRunResult)
-        result2.output = output2
-        results = [result1, result2]
-        long_writer_agent.agent.run = AsyncMock(side_effect=results)
-
-        result = await long_writer_agent.write_report(
-            original_query="Test",
-            report_title="Test Report",
-            report_draft=sample_report_draft,
-        )
-
-        assert "References:" in result
-        # Should have both references (reformatted)
-        assert "example.com/1" in result or "[1]" in result
-        assert "example.com/2" in result or "[2]" in result
-
-
-class TestReformatReferences:
-    """Test _reformat_references() method."""
-
-    def test_reformat_references_deduplicates(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test that reference reformatting deduplicates URLs."""
-        section_markdown = "Content [1] and [2]."
-        section_references = [
-            "[1] https://example.com",
-            "[2] https://example.com",  # Duplicate URL
-        ]
-        all_references = []
-
-        _updated_markdown, updated_refs = long_writer_agent._reformat_references(
-            section_markdown, section_references, all_references
-        )
-
-        # Should only have one reference
-        assert len(updated_refs) == 1
-        assert "example.com" in updated_refs[0]
-
-    def test_reformat_references_renumbers(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test that reference reformatting renumbers correctly."""
-        section_markdown = "Content [1] and [2]."
-        section_references = [
-            "[1] https://example.com/1",
-            "[2] https://example.com/2",
-        ]
-        all_references = ["[1] https://example.com/0"]  # Existing reference
-
-        updated_markdown, updated_refs = long_writer_agent._reformat_references(
-            section_markdown, section_references, all_references
-        )
-
-        # Should have 3 references total (0, 1, 2)
-        assert len(updated_refs) == 3
-        # Markdown should have updated reference numbers
-        assert "[2]" in updated_markdown or "[3]" in updated_markdown
-
-    def test_reformat_references_handles_malformed(
-        self, long_writer_agent: LongWriterAgent
-    ) -> None:
-        """Test that reference reformatting handles malformed references."""
-        section_markdown = "Content [1]."
-        section_references = [
-            "[1] https://example.com",
-            "invalid reference",  # Malformed
-        ]
-        all_references = []
-
-        updated_markdown, updated_refs = long_writer_agent._reformat_references(
-            section_markdown, section_references, all_references
-        )
-
-        # Should still work, just skip invalid references
-        assert isinstance(updated_markdown, str)
-        assert isinstance(updated_refs, list)
-
-    def test_reformat_references_empty_list(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test reference reformatting with empty reference list."""
-        section_markdown = "Content without citations."
-        section_references = []
-        all_references = []
-
-        updated_markdown, updated_refs = long_writer_agent._reformat_references(
-            section_markdown, section_references, all_references
-        )
-
-        assert updated_markdown == section_markdown
-        assert updated_refs == []
-
-    def test_reformat_references_preserves_markdown(
-        self, long_writer_agent: LongWriterAgent
-    ) -> None:
-        """Test that reference reformatting preserves markdown content."""
-        section_markdown = "## Section\n\nContent [1] with **bold** text."
-        section_references = ["[1] https://example.com"]
-        all_references = []
-
-        updated_markdown, _ = long_writer_agent._reformat_references(
-            section_markdown, section_references, all_references
-        )
-
-        assert "## Section" in updated_markdown
-        assert "**bold**" in updated_markdown
-
-
-class TestReformatSectionHeadings:
-    """Test _reformat_section_headings() method."""
-
-    def test_reformat_section_headings_level_2(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test that headings are reformatted to level 2."""
-        section_markdown = "## Section Title\n\nContent"
-        result = long_writer_agent._reformat_section_headings(section_markdown)
-        assert "## Section Title" in result
-
-    def test_reformat_section_headings_level_3(self, long_writer_agent: LongWriterAgent) -> None:
-        """Test that level 3 headings are adjusted correctly."""
-        section_markdown = "### Section Title\n\nContent"
-        result = long_writer_agent._reformat_section_headings(section_markdown)
-        # Should be adjusted to level 2
-        assert "## Section Title" in result
-
-    def test_reformat_section_headings_no_headings(
-        self, long_writer_agent: LongWriterAgent
-    ) -> None:
-        """Test reformatting with no headings."""
-        section_markdown = "Just content without headings."
-        result = long_writer_agent._reformat_section_headings(section_markdown)
-        assert result == section_markdown
-
-    def test_reformat_section_headings_preserves_content(
-        self, long_writer_agent: LongWriterAgent
-    ) -> None:
-        """Test that content is preserved during heading reformatting."""
-        section_markdown = "# Section\n\nImportant content here."
-        result = long_writer_agent._reformat_section_headings(section_markdown)
-        assert "Important content here" in result
-
-
-class TestCreateLongWriterAgent:
-    """Test create_long_writer_agent factory function."""
-
-    @patch("src.agents.long_writer.get_model")
-    @patch("src.agents.long_writer.LongWriterAgent")
-    def test_create_long_writer_agent_success(
-        self,
-        mock_long_writer_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test successful long writer agent creation."""
-        mock_get_model.return_value = mock_model
-        mock_agent_instance = MagicMock()
-        mock_long_writer_agent_class.return_value = mock_agent_instance
-
-        result = create_long_writer_agent()
-
-        assert result == mock_agent_instance
-        mock_long_writer_agent_class.assert_called_once_with(model=mock_model)
-
-    @patch("src.agents.long_writer.get_model")
-    @patch("src.agents.long_writer.LongWriterAgent")
-    def test_create_long_writer_agent_with_custom_model(
-        self,
-        mock_long_writer_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test long writer agent creation with custom model."""
-        mock_agent_instance = MagicMock()
-        mock_long_writer_agent_class.return_value = mock_agent_instance
-
-        result = create_long_writer_agent(model=mock_model)
-
-        assert result == mock_agent_instance
-        mock_long_writer_agent_class.assert_called_once_with(model=mock_model)
-        mock_get_model.assert_not_called()
diff --git a/tests/unit/agents/test_proofreader.py b/tests/unit/agents/test_proofreader.py
deleted file mode 100644
index e16ad72f71f06fd2d423d573d72c0fd7ccc1d8fa..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_proofreader.py
+++ /dev/null
@@ -1,375 +0,0 @@
-"""Unit tests for ProofreaderAgent."""
-
-from typing import Any
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-from pydantic_ai import AgentRunResult
-
-from src.agents.proofreader import ProofreaderAgent, create_proofreader_agent
-from src.utils.models import ReportDraft, ReportDraftSection
-
-
-@pytest.fixture
-def mock_model() -> MagicMock:
-    """Create a mock Pydantic AI model."""
-    model = MagicMock()
-    model.name = "test-model"
-    return model
-
-
-@pytest.fixture
-def mock_agent_result() -> AgentRunResult[Any]:
-    """Create a mock agent result."""
-    result = MagicMock(spec=AgentRunResult)
-    result.output = """# Final Report
-
-## Summary
-This is a polished report.
-
-## Introduction
-Introduction content.
-
-## References:
-[1] https://example.com
-"""
-    return result
-
-
-@pytest.fixture
-def proofreader_agent(mock_model: MagicMock) -> ProofreaderAgent:
-    """Create a ProofreaderAgent instance with mocked model."""
-    return ProofreaderAgent(model=mock_model)
-
-
-@pytest.fixture
-def sample_report_draft() -> ReportDraft:
-    """Create a sample ReportDraft for testing."""
-    return ReportDraft(
-        sections=[
-            ReportDraftSection(
-                section_title="Introduction",
-                section_content="Introduction content with [1].",
-            ),
-            ReportDraftSection(
-                section_title="Methods",
-                section_content="Methods content with [2].",
-            ),
-        ]
-    )
-
-
-class TestProofreaderAgentInit:
-    """Test ProofreaderAgent initialization."""
-
-    def test_proofreader_agent_init_with_model(self, mock_model: MagicMock) -> None:
-        """Test ProofreaderAgent initialization with provided model."""
-        agent = ProofreaderAgent(model=mock_model)
-        assert agent.model == mock_model
-        assert agent.agent is not None
-
-    @patch("src.agents.proofreader.get_model")
-    def test_proofreader_agent_init_without_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test ProofreaderAgent initialization without model (uses default)."""
-        mock_get_model.return_value = mock_model
-        agent = ProofreaderAgent()
-        assert agent.model == mock_model
-        mock_get_model.assert_called_once()
-
-    def test_proofreader_agent_has_correct_system_prompt(
-        self, proofreader_agent: ProofreaderAgent
-    ) -> None:
-        """Test that ProofreaderAgent has correct system prompt."""
-        # System prompt should exist and contain key instructions
-        # Check the source constant directly since system_prompt property may be a callable
-        from src.agents.proofreader import SYSTEM_PROMPT
-
-        assert SYSTEM_PROMPT is not None
-        assert "proofread" in SYSTEM_PROMPT.lower()
-        assert "report" in SYSTEM_PROMPT.lower()
-
-
-class TestProofread:
-    """Test proofread() method."""
-
-    @pytest.mark.asyncio
-    async def test_proofread_basic(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test basic proofreading."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        result = await proofreader_agent.proofread(query=query, report_draft=sample_report_draft)
-
-        assert isinstance(result, str)
-        assert "Final Report" in result or "Introduction" in result
-        assert proofreader_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_proofread_single_section(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test proofreading with single section."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="Single Section",
-                    section_content="Content",
-                )
-            ]
-        )
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-        assert proofreader_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_proofread_multiple_sections(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test proofreading with multiple sections."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=sample_report_draft)
-
-        assert isinstance(result, str)
-        # Check that draft was included in prompt
-        call_args = proofreader_agent.agent.run.call_args[0][0]
-        assert "Introduction" in call_args or "Methods" in call_args
-
-    @pytest.mark.asyncio
-    async def test_proofread_removes_duplicates(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test that proofreader removes duplicate content."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="Section 1",
-                    section_content="Duplicate content",
-                ),
-                ReportDraftSection(
-                    section_title="Section 2",
-                    section_content="Duplicate content",  # Duplicate
-                ),
-            ]
-        )
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-        # System prompt should instruct to remove duplicates
-        call_args = proofreader_agent.agent.run.call_args[0][0]
-        assert "duplicate" in call_args.lower() or "De-duplicate" in call_args
-
-    @pytest.mark.asyncio
-    async def test_proofread_adds_summary(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test that proofreader adds summary."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=sample_report_draft)
-
-        assert isinstance(result, str)
-        # System prompt should instruct to add summary - check source constant
-        from src.agents.proofreader import SYSTEM_PROMPT
-
-        assert "summary" in SYSTEM_PROMPT.lower() or "Add a summary" in SYSTEM_PROMPT
-
-    @pytest.mark.asyncio
-    async def test_proofread_preserves_references(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-        sample_report_draft: ReportDraft,
-    ) -> None:
-        """Test that proofreader preserves references."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=sample_report_draft)
-
-        assert isinstance(result, str)
-        # System prompt should instruct to preserve sources - check source constant
-        from src.agents.proofreader import SYSTEM_PROMPT
-
-        assert (
-            "sources" in SYSTEM_PROMPT.lower()
-            or "references" in SYSTEM_PROMPT.lower()
-            or "Preserve sources" in SYSTEM_PROMPT
-        )
-
-    @pytest.mark.asyncio
-    async def test_proofread_empty_draft(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test proofreading with empty draft."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(sections=[])
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-        # When draft is empty, agent returns early without calling run
-        assert "Research Report" in result
-        assert "Query" in result
-        # Agent.run should not be called for empty drafts (early return)
-        assert not proofreader_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_proofread_single_section_draft(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test proofreading with single section draft."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="Single Section",
-                    section_content="Content",
-                )
-            ]
-        )
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-
-    @pytest.mark.asyncio
-    async def test_proofread_very_long_draft(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test proofreading with very long draft."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="Long Section",
-                    section_content="Content. " * 1000,  # Very long
-                )
-            ]
-        )
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-        assert proofreader_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_proofread_malformed_sections(
-        self,
-        proofreader_agent: ProofreaderAgent,
-        mock_agent_result: AgentRunResult[Any],
-    ) -> None:
-        """Test proofreading with malformed sections."""
-        proofreader_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        report_draft = ReportDraft(
-            sections=[
-                ReportDraftSection(
-                    section_title="",
-                    section_content="",  # Empty section
-                )
-            ]
-        )
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=report_draft)
-
-        assert isinstance(result, str)
-
-    @pytest.mark.asyncio
-    async def test_proofread_llm_failure(
-        self, proofreader_agent: ProofreaderAgent, sample_report_draft: ReportDraft
-    ) -> None:
-        """Test proofreading handles LLM failures gracefully."""
-        proofreader_agent.agent.run = AsyncMock(side_effect=Exception("LLM error"))
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=sample_report_draft)
-
-        # Should return fallback report
-        assert isinstance(result, str)
-        assert "Research Report" in result
-        assert "Introduction" in result
-
-    @pytest.mark.asyncio
-    async def test_proofread_returns_fallback_on_error(
-        self, proofreader_agent: ProofreaderAgent, sample_report_draft: ReportDraft
-    ) -> None:
-        """Test that fallback report is returned on error."""
-        proofreader_agent.agent.run = AsyncMock(side_effect=RuntimeError("Test error"))
-
-        result = await proofreader_agent.proofread(query="Test", report_draft=sample_report_draft)
-
-        assert isinstance(result, str)
-        # Fallback should combine sections manually
-        assert sample_report_draft.sections[0].section_title in result
-
-
-class TestCreateProofreaderAgent:
-    """Test create_proofreader_agent factory function."""
-
-    @patch("src.agents.proofreader.get_model")
-    @patch("src.agents.proofreader.ProofreaderAgent")
-    def test_create_proofreader_agent_success(
-        self,
-        mock_proofreader_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test successful proofreader agent creation."""
-        mock_get_model.return_value = mock_model
-        mock_agent_instance = MagicMock()
-        mock_proofreader_agent_class.return_value = mock_agent_instance
-
-        result = create_proofreader_agent()
-
-        assert result == mock_agent_instance
-        mock_proofreader_agent_class.assert_called_once_with(model=mock_model)
-
-    @patch("src.agents.proofreader.get_model")
-    @patch("src.agents.proofreader.ProofreaderAgent")
-    def test_create_proofreader_agent_with_custom_model(
-        self,
-        mock_proofreader_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test proofreader agent creation with custom model."""
-        mock_agent_instance = MagicMock()
-        mock_proofreader_agent_class.return_value = mock_agent_instance
-
-        result = create_proofreader_agent(model=mock_model)
-
-        assert result == mock_agent_instance
-        mock_proofreader_agent_class.assert_called_once_with(model=mock_model)
-        mock_get_model.assert_not_called()
diff --git a/tests/unit/agents/test_report_agent.py b/tests/unit/agents/test_report_agent.py
deleted file mode 100644
index 24a3c267d4a93a99baa073ce9201c9e4399d43e9..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_report_agent.py
+++ /dev/null
@@ -1,233 +0,0 @@
-"""Unit tests for ReportAgent."""
-
-from typing import Any
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-# Skip all tests if agent_framework not installed (optional dep)
-pytest.importorskip("agent_framework")
-
-from src.agents.report_agent import ReportAgent
-from src.utils.models import (
-    Citation,
-    Evidence,
-    MechanismHypothesis,
-    ReportSection,
-    ResearchReport,
-)
-
-
-@pytest.fixture
-def sample_evidence() -> list[Evidence]:
-    return [
-        Evidence(
-            content="Metformin activates AMPK...",
-            citation=Citation(
-                source="pubmed",
-                title="Metformin mechanisms",
-                url="https://pubmed.ncbi.nlm.nih.gov/12345/",
-                date="2023",
-                authors=["Smith J", "Jones A"],
-            ),
-        )
-    ]
-
-
-@pytest.fixture
-def sample_hypotheses() -> list[MechanismHypothesis]:
-    return [
-        MechanismHypothesis(
-            drug="Metformin",
-            target="AMPK",
-            pathway="mTOR inhibition",
-            effect="Neuroprotection",
-            confidence=0.8,
-            search_suggestions=[],
-        )
-    ]
-
-
-@pytest.fixture
-def mock_report() -> ResearchReport:
-    return ResearchReport(
-        title="Research Analysis: Metformin for Alzheimer's",
-        executive_summary=(
-            "This report analyzes metformin as a potential candidate for "
-            "Alzheimer's disease treatment. It summarizes "
-            "findings from mechanistic studies showing AMPK activation effects "
-            "and reviews clinical data. The evidence suggests a potential "
-            "neuroprotective role, although clinical trials are still limited."
-        ),
-        research_question="What is the evidence for metformin in Alzheimer's disease treatment?",
-        methodology=ReportSection(
-            title="Methodology", content="Searched PubMed and web sources..."
-        ),
-        hypotheses_tested=[
-            {"mechanism": "Metformin -> AMPK -> neuroprotection", "supported": 5, "contradicted": 1}
-        ],
-        mechanistic_findings=ReportSection(
-            title="Mechanistic Findings", content="Evidence suggests AMPK activation..."
-        ),
-        clinical_findings=ReportSection(
-            title="Clinical Findings", content="Limited clinical data available..."
-        ),
-        drug_candidates=["Metformin"],
-        limitations=["Abstract-level analysis only"],
-        conclusion="Metformin shows promise...",
-        references=[],
-        sources_searched=["pubmed", "web"],
-        total_papers_reviewed=10,
-        search_iterations=3,
-        confidence_score=0.75,
-    )
-
-
-@pytest.mark.asyncio
-async def test_report_agent_generates_report(
-    sample_evidence: list[Evidence],
-    sample_hypotheses: list[MechanismHypothesis],
-    mock_report: ResearchReport,
-) -> None:
-    """ReportAgent should generate structured report."""
-    store: dict[str, Any] = {
-        "current": sample_evidence,
-        "hypotheses": sample_hypotheses,
-        "last_assessment": {"mechanism_score": 8, "clinical_score": 6},
-    }
-
-    with (
-        patch("src.agents.report_agent.get_model") as mock_get_model,
-        patch("src.agents.report_agent.Agent") as mock_agent_class,
-    ):
-        mock_get_model.return_value = MagicMock()
-        mock_result = MagicMock()
-        mock_result.output = mock_report
-        mock_agent_class.return_value.run = AsyncMock(return_value=mock_result)
-
-        agent = ReportAgent(store)
-        response = await agent.run("metformin alzheimer")
-
-        assert response.messages[0].text is not None
-        assert "Executive Summary" in response.messages[0].text
-        assert "Methodology" in response.messages[0].text
-        assert "References" in response.messages[0].text
-        # Verify report is stored in evidence store
-        assert "final_report" in store
-
-
-@pytest.mark.asyncio
-async def test_report_agent_no_evidence() -> None:
-    """ReportAgent should handle empty evidence gracefully."""
-    store: dict[str, Any] = {"current": [], "hypotheses": []}
-
-    # Lazy init means no patching needed - agent only instantiated when run() has evidence
-    agent = ReportAgent(store)
-    response = await agent.run("test query")
-
-    assert response.messages[0].text is not None
-    assert "Cannot generate report" in response.messages[0].text
-
-
-# ═══════════════════════════════════════════════════════════════════════════
-# 🚨 CRITICAL: Citation Validation Tests
-# ═══════════════════════════════════════════════════════════════════════════
-
-
-@pytest.mark.asyncio
-async def test_report_agent_removes_hallucinated_citations(
-    sample_evidence: list[Evidence],
-) -> None:
-    """ReportAgent should remove citations not in evidence."""
-    from src.utils.citation_validator import validate_references
-
-    # Create report with mix of valid and hallucinated references
-    report_with_hallucinations = ResearchReport(
-        title="Test Report",
-        executive_summary=(
-            "This is a test report for citation validation. It needs to be "
-            "sufficiently long to pass validation. We are ensuring that the "
-            "system correctly identifies and removes citations that do not "
-            "appear in collected evidence. This prevents hallucinations."
-        ),
-        research_question="Testing citation validation",
-        methodology=ReportSection(title="Methodology", content="Test"),
-        hypotheses_tested=[],
-        mechanistic_findings=ReportSection(title="Mechanistic", content="Test"),
-        clinical_findings=ReportSection(title="Clinical", content="Test"),
-        drug_candidates=["TestDrug"],
-        limitations=["Test limitation"],
-        conclusion="Test conclusion",
-        references=[
-            # Valid reference (matches sample_evidence)
-            {
-                "title": "Metformin mechanisms",
-                "url": "https://pubmed.ncbi.nlm.nih.gov/12345/",
-                "authors": "Smith J, Jones A",
-                "date": "2023",
-                "source": "pubmed",
-            },
-            # HALLUCINATED reference (URL doesn't exist in evidence)
-            {
-                "title": "Fake Paper That Doesn't Exist",
-                "url": "https://fake-journal.com/made-up-paper",
-                "authors": "Hallucinated A",
-                "date": "2024",
-                "source": "fake",
-            },
-            # Another HALLUCINATED reference
-            {
-                "title": "Invented Research",
-                "url": "https://pubmed.ncbi.nlm.nih.gov/99999999/",
-                "authors": "NotReal B",
-                "date": "2025",
-                "source": "pubmed",
-            },
-        ],
-        sources_searched=["pubmed"],
-        total_papers_reviewed=1,
-        search_iterations=1,
-        confidence_score=0.5,
-    )
-
-    # Validate - should remove hallucinated references
-    validated_report = validate_references(report_with_hallucinations, sample_evidence)
-
-    # Only the valid reference should remain
-    assert len(validated_report.references) == 1
-    assert validated_report.references[0]["title"] == "Metformin mechanisms"
-    # Check that "Fake Paper" is NOT in the string representation of the references list
-    # (This is a bit safer than checking presence in list of dicts if structure varies)
-    ref_urls = [r.get("url") for r in validated_report.references]
-    assert "https://fake-journal.com/made-up-paper" not in ref_urls
-
-
-def test_citation_validator_handles_empty_references() -> None:
-    """Citation validator should handle reports with no references."""
-    from src.utils.citation_validator import validate_references
-
-    report = ResearchReport(
-        title="Empty Refs Report",
-        executive_summary=(
-            "This report has no references. It is designed to test the "
-            "validator's handling of empty reference lists. We must ensure "
-            "that the system does not crash when a report contains no "
-            "citations. This is a valid edge case in early-stage research."
-        ),
-        research_question="Testing empty refs",
-        methodology=ReportSection(title="Methodology", content="Test"),
-        hypotheses_tested=[],
-        mechanistic_findings=ReportSection(title="Mechanistic", content="Test"),
-        clinical_findings=ReportSection(title="Clinical", content="Test"),
-        drug_candidates=[],
-        limitations=[],
-        conclusion="Test",
-        references=[],  # Empty!
-        sources_searched=[],
-        total_papers_reviewed=0,
-        search_iterations=0,
-        confidence_score=0.0,
-    )
-
-    validated = validate_references(report, [])
-    assert validated.references == []
diff --git a/tests/unit/agents/test_search_agent.py b/tests/unit/agents/test_search_agent.py
deleted file mode 100644
index d52adcbeef80018b4e8043f836322318d65dfa4b..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_search_agent.py
+++ /dev/null
@@ -1,128 +0,0 @@
-"""Unit tests for SearchAgent."""
-
-from unittest.mock import AsyncMock
-
-import pytest
-
-# Skip all tests if agent_framework not installed (optional dep)
-pytest.importorskip("agent_framework")
-
-from agent_framework import ChatMessage, Role
-
-from src.agents.search_agent import SearchAgent
-from src.utils.models import Citation, Evidence, SearchResult
-
-
-@pytest.fixture
-def mock_handler() -> AsyncMock:
-    """Mock search handler."""
-    handler = AsyncMock()
-    handler.execute.return_value = SearchResult(
-        query="test query",
-        evidence=[
-            Evidence(
-                content="test content",
-                citation=Citation(
-                    source="pubmed",
-                    title="Test Title",
-                    url="http://test.com",
-                    date="2023",
-                    authors=["Author A"],
-                ),
-                relevance=1.0,
-            )
-        ],
-        sources_searched=["pubmed"],
-        total_found=1,
-    )
-    return handler
-
-
-@pytest.mark.asyncio
-async def test_run_executes_search(mock_handler: AsyncMock) -> None:
-    """Test that run executes search and updates evidence store."""
-    store: dict = {"current": []}
-    agent = SearchAgent(mock_handler, store)
-
-    response = await agent.run("test query")
-
-    # Check handler called
-    mock_handler.execute.assert_awaited_once_with("test query", max_results_per_tool=10)
-
-    # Check store updated
-    assert len(store["current"]) == 1
-    assert store["current"][0].content == "test content"
-
-    # Check response
-    assert response.messages[0].role == Role.ASSISTANT
-    assert "Found 1 sources" in response.messages[0].text
-
-
-@pytest.mark.asyncio
-async def test_run_handles_chat_message_input(mock_handler: AsyncMock) -> None:
-    """Test that run handles ChatMessage input."""
-    store: dict = {"current": []}
-    agent = SearchAgent(mock_handler, store)
-
-    message = ChatMessage(role=Role.USER, text="test query")
-    await agent.run(message)
-
-    mock_handler.execute.assert_awaited_once_with("test query", max_results_per_tool=10)
-
-
-@pytest.mark.asyncio
-async def test_run_handles_list_input(mock_handler: AsyncMock) -> None:
-    """Test that run handles list of messages."""
-    store: dict = {"current": []}
-    agent = SearchAgent(mock_handler, store)
-
-    messages = [
-        ChatMessage(role=Role.SYSTEM, text="sys"),
-        ChatMessage(role=Role.USER, text="test query"),
-    ]
-    await agent.run(messages)
-    mock_handler.execute.assert_awaited_once_with("test query", max_results_per_tool=10)
-
-
-@pytest.mark.asyncio
-async def test_run_uses_embeddings(mock_handler: AsyncMock) -> None:
-    """Test that run uses embedding service if provided."""
-    store: dict = {"current": []}
-
-    # Mock embedding service
-    mock_embeddings = AsyncMock()
-    # Mock deduplicate to return the evidence as is (or filtered)
-    mock_embeddings.deduplicate.return_value = [
-        Evidence(
-            content="unique content",
-            citation=Citation(source="pubmed", url="u1", title="t1", date="2024"),
-        )
-    ]
-    # Mock search_similar to return related items
-    mock_embeddings.search_similar.return_value = [
-        {
-            "id": "u2",
-            "content": "related content",
-            "metadata": {"source": "pubmed", "title": "related", "date": "2024"},
-            "distance": 0.1,
-        }
-    ]
-
-    agent = SearchAgent(mock_handler, store, embedding_service=mock_embeddings)
-
-    await agent.run("test query")
-
-    # Verify deduplicate called
-    mock_embeddings.deduplicate.assert_awaited_once()
-
-    # Verify semantic search called
-    mock_embeddings.search_similar.assert_awaited_once_with("test query", n_results=5)
-
-    # Verify store contains related evidence (if logic implemented to add it)
-    # Note: logic for adding related evidence needs to be implemented in SearchAgent
-    # The spec says: "Merge related evidence not already in results"
-
-    # Check if u1 (deduplicated result) is in store
-    assert any(e.citation.url == "u1" for e in store["current"])
-    # Check if u2 (related result) is in store
-    assert any(e.citation.url == "u2" for e in store["current"])
diff --git a/tests/unit/agents/test_writer.py b/tests/unit/agents/test_writer.py
deleted file mode 100644
index 766420dfef01c5fce4096bd3b8370ff9f295e622..0000000000000000000000000000000000000000
--- a/tests/unit/agents/test_writer.py
+++ /dev/null
@@ -1,267 +0,0 @@
-"""Unit tests for WriterAgent."""
-
-from typing import Any
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-from pydantic_ai import AgentRunResult
-
-from src.agents.writer import WriterAgent, create_writer_agent
-from src.utils.exceptions import ConfigurationError
-
-
-@pytest.fixture
-def mock_model() -> MagicMock:
-    """Create a mock Pydantic AI model."""
-    model = MagicMock()
-    model.name = "test-model"
-    return model
-
-
-@pytest.fixture
-def mock_agent_result() -> AgentRunResult[Any]:
-    """Create a mock agent result."""
-    result = MagicMock(spec=AgentRunResult)
-    result.output = "# Research Report\n\nThis is a test report with citations [1].\n\nReferences:\n[1] https://example.com"
-    return result
-
-
-@pytest.fixture
-def writer_agent(mock_model: MagicMock) -> WriterAgent:
-    """Create a WriterAgent instance with mocked model."""
-    return WriterAgent(model=mock_model)
-
-
-class TestWriterAgentInit:
-    """Test WriterAgent initialization."""
-
-    def test_writer_agent_init_with_model(self, mock_model: MagicMock) -> None:
-        """Test WriterAgent initialization with provided model."""
-        agent = WriterAgent(model=mock_model)
-        assert agent.model == mock_model
-        assert agent.agent is not None
-
-    @patch("src.agents.writer.get_model")
-    def test_writer_agent_init_without_model(
-        self, mock_get_model: MagicMock, mock_model: MagicMock
-    ) -> None:
-        """Test WriterAgent initialization without model (uses default)."""
-        mock_get_model.return_value = mock_model
-        agent = WriterAgent()
-        assert agent.model == mock_model
-        mock_get_model.assert_called_once()
-
-    def test_writer_agent_has_correct_system_prompt(self, writer_agent: WriterAgent) -> None:
-        """Test that WriterAgent has correct system prompt."""
-        # System prompt should exist and contain key instructions
-        # Check the source constant directly since system_prompt property may be a callable
-        from src.agents.writer import SYSTEM_PROMPT
-
-        assert SYSTEM_PROMPT is not None
-        assert "researcher" in SYSTEM_PROMPT.lower()
-        assert "markdown" in SYSTEM_PROMPT.lower()
-
-
-class TestWriteReport:
-    """Test write_report() method."""
-
-    @pytest.mark.asyncio
-    async def test_write_report_basic(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test basic report writing."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "What is the capital of France?"
-        findings = "Paris is the capital of France [1].\n\n[1] https://example.com"
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert "Research Report" in result
-        assert writer_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_write_report_with_output_length(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing with output length specification."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = "Test findings"
-        output_length = "500 words"
-
-        result = await writer_agent.write_report(
-            query=query, findings=findings, output_length=output_length
-        )
-
-        assert isinstance(result, str)
-        # Check that output_length was included in the prompt
-        call_args = writer_agent.agent.run.call_args[0][0]
-        assert "500 words" in call_args
-
-    @pytest.mark.asyncio
-    async def test_write_report_with_instructions(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing with additional instructions."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = "Test findings"
-        output_instructions = "Use formal language"
-
-        result = await writer_agent.write_report(
-            query=query, findings=findings, output_instructions=output_instructions
-        )
-
-        assert isinstance(result, str)
-        # Check that instructions were included in the prompt
-        call_args = writer_agent.agent.run.call_args[0][0]
-        assert "formal language" in call_args
-
-    @pytest.mark.asyncio
-    async def test_write_report_with_citations(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing includes citations."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = "Test findings with citation [1].\n\n[1] https://example.com"
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert "[1]" in result or "example.com" in result
-
-    @pytest.mark.asyncio
-    async def test_write_report_empty_findings(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing with empty findings."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = ""
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert writer_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_write_report_very_long_findings(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing with very long findings."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = "Test findings. " * 1000  # Very long findings
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert writer_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_write_report_special_characters(
-        self, writer_agent: WriterAgent, mock_agent_result: AgentRunResult[Any]
-    ) -> None:
-        """Test report writing with special characters in findings."""
-        writer_agent.agent.run = AsyncMock(return_value=mock_agent_result)
-
-        query = "Test query"
-        findings = "Findings with special chars: <>&\"'"
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert writer_agent.agent.run.called
-
-    @pytest.mark.asyncio
-    async def test_write_report_llm_failure(self, writer_agent: WriterAgent) -> None:
-        """Test report writing handles LLM failures gracefully."""
-        writer_agent.agent.run = AsyncMock(side_effect=Exception("LLM error"))
-
-        query = "Test query"
-        findings = "Test findings"
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        # Should return fallback report
-        assert isinstance(result, str)
-        assert "Research Report" in result
-        assert "fallback" in result.lower() or "error" in result.lower()
-
-    @pytest.mark.asyncio
-    async def test_write_report_returns_fallback_on_error(self, writer_agent: WriterAgent) -> None:
-        """Test that fallback report is returned on error."""
-        writer_agent.agent.run = AsyncMock(side_effect=RuntimeError("Test error"))
-
-        query = "Test query"
-        findings = "Test findings"
-
-        result = await writer_agent.write_report(query=query, findings=findings)
-
-        assert isinstance(result, str)
-        assert query in result
-        assert findings in result
-
-
-class TestCreateWriterAgent:
-    """Test create_writer_agent factory function."""
-
-    @patch("src.agents.writer.get_model")
-    @patch("src.agents.writer.WriterAgent")
-    def test_create_writer_agent_success(
-        self,
-        mock_writer_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test successful writer agent creation."""
-        mock_get_model.return_value = mock_model
-        mock_agent_instance = MagicMock()
-        mock_writer_agent_class.return_value = mock_agent_instance
-
-        result = create_writer_agent()
-
-        assert result == mock_agent_instance
-        mock_writer_agent_class.assert_called_once_with(model=mock_model)
-
-    @patch("src.agents.writer.get_model")
-    @patch("src.agents.writer.WriterAgent")
-    def test_create_writer_agent_with_custom_model(
-        self,
-        mock_writer_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-        mock_model: MagicMock,
-    ) -> None:
-        """Test writer agent creation with custom model."""
-        mock_agent_instance = MagicMock()
-        mock_writer_agent_class.return_value = mock_agent_instance
-
-        result = create_writer_agent(model=mock_model)
-
-        assert result == mock_agent_instance
-        mock_writer_agent_class.assert_called_once_with(model=mock_model)
-        mock_get_model.assert_not_called()
-
-    @patch("src.agents.writer.get_model")
-    @patch("src.agents.writer.WriterAgent")
-    def test_create_writer_agent_handles_errors(
-        self,
-        mock_writer_agent_class: MagicMock,
-        mock_get_model: MagicMock,
-    ) -> None:
-        """Test writer agent creation handles errors."""
-        mock_get_model.side_effect = Exception("Model error")
-        mock_writer_agent_class.side_effect = Exception("Agent creation error")
-
-        with pytest.raises(ConfigurationError) as exc_info:
-            create_writer_agent()
-
-        assert "Failed to create writer agent" in str(exc_info.value)
diff --git a/tests/unit/middleware/__init__.py b/tests/unit/middleware/__init__.py
deleted file mode 100644
index 26d9572585bf36271dc7b2e816ecf64ef934b940..0000000000000000000000000000000000000000
--- a/tests/unit/middleware/__init__.py
+++ /dev/null
@@ -1,20 +0,0 @@
-"""Unit tests for middleware components."""
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/tests/unit/middleware/test_budget_tracker.py b/tests/unit/middleware/test_budget_tracker.py
deleted file mode 100644
index cf68cbf746a85ac268c272ebd99aa38b46dfb0c5..0000000000000000000000000000000000000000
--- a/tests/unit/middleware/test_budget_tracker.py
+++ /dev/null
@@ -1,282 +0,0 @@
-"""Unit tests for BudgetTracker and BudgetStatus."""
-
-import time
-
-import pytest
-
-from src.middleware.budget_tracker import BudgetStatus, BudgetTracker
-
-
-@pytest.mark.unit
-class TestBudgetStatus:
-    """Tests for BudgetStatus model."""
-
-    def test_initialization(self) -> None:
-        """BudgetStatus should initialize with default values."""
-        budget = BudgetStatus()
-        assert budget.tokens_used == 0
-        assert budget.tokens_limit == 100000
-        assert budget.time_elapsed_seconds == 0.0
-        assert budget.time_limit_seconds == 600.0
-        assert budget.iterations == 0
-        assert budget.iterations_limit == 10
-
-    def test_custom_limits(self) -> None:
-        """BudgetStatus should accept custom limits."""
-        budget = BudgetStatus(tokens_limit=50000, time_limit_seconds=300.0, iterations_limit=5)
-        assert budget.tokens_limit == 50000
-        assert budget.time_limit_seconds == 300.0
-        assert budget.iterations_limit == 5
-
-    def test_is_exceeded_tokens(self) -> None:
-        """is_exceeded should return True when tokens limit is reached."""
-        budget = BudgetStatus(tokens_limit=100, tokens_used=100)
-        assert budget.is_exceeded() is True
-
-    def test_is_exceeded_time(self) -> None:
-        """is_exceeded should return True when time limit is reached."""
-        budget = BudgetStatus(time_limit_seconds=60.0, time_elapsed_seconds=60.0)
-        assert budget.is_exceeded() is True
-
-    def test_is_exceeded_iterations(self) -> None:
-        """is_exceeded should return True when iterations limit is reached."""
-        budget = BudgetStatus(iterations_limit=5, iterations=5)
-        assert budget.is_exceeded() is True
-
-    def test_is_exceeded_not_exceeded(self) -> None:
-        """is_exceeded should return False when no limits are exceeded."""
-        budget = BudgetStatus(
-            tokens_used=50, tokens_limit=100, time_elapsed_seconds=30.0, time_limit_seconds=60.0
-        )
-        assert budget.is_exceeded() is False
-
-    def test_remaining_tokens(self) -> None:
-        """remaining_tokens should calculate remaining token budget."""
-        budget = BudgetStatus(tokens_limit=100, tokens_used=30)
-        assert budget.remaining_tokens() == 70
-
-    def test_remaining_tokens_exceeded(self) -> None:
-        """remaining_tokens should return negative if exceeded."""
-        budget = BudgetStatus(tokens_limit=100, tokens_used=150)
-        assert budget.remaining_tokens() == -50
-
-    def test_remaining_time_seconds(self) -> None:
-        """remaining_time_seconds should calculate remaining time."""
-        budget = BudgetStatus(time_limit_seconds=60.0, time_elapsed_seconds=30.0)
-        assert budget.remaining_time_seconds() == 30.0
-
-    def test_remaining_iterations(self) -> None:
-        """remaining_iterations should calculate remaining iterations."""
-        budget = BudgetStatus(iterations_limit=10, iterations=3)
-        assert budget.remaining_iterations() == 7
-
-
-@pytest.mark.unit
-class TestBudgetTracker:
-    """Tests for BudgetTracker class."""
-
-    def test_initialization(self) -> None:
-        """BudgetTracker should initialize with empty budgets."""
-        tracker = BudgetTracker()
-        assert tracker._budgets == {}
-        assert tracker._start_times == {}
-        assert tracker._global_budget is None
-
-    def test_create_budget(self) -> None:
-        """create_budget should create a budget for a loop."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=50000, time_limit_seconds=300.0)
-
-        assert "loop1" in tracker._budgets
-        assert tracker._budgets["loop1"].tokens_limit == 50000
-        assert tracker._budgets["loop1"].time_limit_seconds == 300.0
-
-    def test_get_budget(self) -> None:
-        """get_budget should return budget for a loop."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        budget = tracker.get_budget("loop1")
-
-        assert budget is not None
-        assert isinstance(budget, BudgetStatus)
-
-    def test_get_budget_not_found(self) -> None:
-        """get_budget should return None if loop not found."""
-        tracker = BudgetTracker()
-        budget = tracker.get_budget("nonexistent")
-        assert budget is None
-
-    def test_add_tokens(self) -> None:
-        """add_tokens should increment token usage."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        tracker.add_tokens("loop1", 1000)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.tokens_used == 1000
-
-    def test_add_tokens_multiple(self) -> None:
-        """add_tokens should accumulate token usage."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        tracker.add_tokens("loop1", 1000)
-        tracker.add_tokens("loop1", 500)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.tokens_used == 1500
-
-    def test_start_timer(self) -> None:
-        """start_timer should record start time."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        tracker.start_timer("loop1")
-
-        assert "loop1" in tracker._start_times
-        assert isinstance(tracker._start_times["loop1"], float)
-
-    def test_update_timer(self) -> None:
-        """update_timer should update elapsed time."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        tracker.start_timer("loop1")
-
-        time.sleep(0.1)  # Sleep briefly
-        tracker.update_timer("loop1")
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.time_elapsed_seconds >= 0.1
-
-    def test_increment_iteration(self) -> None:
-        """increment_iteration should increment iteration count."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        tracker.increment_iteration("loop1")
-        tracker.increment_iteration("loop1")
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.iterations == 2
-
-    def test_check_budget_not_exceeded(self) -> None:
-        """check_budget should return (False, '') when not exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000, time_limit_seconds=60.0)
-        tracker.add_tokens("loop1", 500)
-        tracker.start_timer("loop1")
-
-        exceeded, reason = tracker.check_budget("loop1")
-        assert exceeded is False
-        assert reason == ""
-
-    def test_check_budget_exceeded_tokens(self) -> None:
-        """check_budget should detect token limit exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000)
-        tracker.add_tokens("loop1", 1000)
-
-        exceeded, reason = tracker.check_budget("loop1")
-        assert exceeded is True
-        assert "tokens" in reason
-
-    def test_check_budget_exceeded_time(self) -> None:
-        """check_budget should detect time limit exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", time_limit_seconds=0.01)  # Very short limit
-        tracker.start_timer("loop1")
-        time.sleep(0.02)  # Sleep longer than limit
-
-        exceeded, reason = tracker.check_budget("loop1")
-        assert exceeded is True
-        assert "time" in reason
-
-    def test_check_budget_exceeded_iterations(self) -> None:
-        """check_budget should detect iteration limit exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", iterations_limit=5)
-        for _ in range(5):
-            tracker.increment_iteration("loop1")
-
-        exceeded, reason = tracker.check_budget("loop1")
-        assert exceeded is True
-        assert "iterations" in reason
-
-    def test_can_continue(self) -> None:
-        """can_continue should return True when budget not exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1")
-        assert tracker.can_continue("loop1") is True
-
-    def test_can_continue_exceeded(self) -> None:
-        """can_continue should return False when budget exceeded."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000)
-        tracker.add_tokens("loop1", 1000)
-
-        assert tracker.can_continue("loop1") is False
-
-    def test_get_budget_summary(self) -> None:
-        """get_budget_summary should return formatted string."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000, time_limit_seconds=60.0)
-        tracker.add_tokens("loop1", 500)
-        tracker.start_timer("loop1")
-        tracker.update_timer("loop1")
-
-        summary = tracker.get_budget_summary("loop1")
-        assert "loop1" in summary
-        assert "500" in summary
-        assert "1000" in summary
-
-    def test_reset_budget(self) -> None:
-        """reset_budget should reset counters but keep limits."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000, time_limit_seconds=60.0)
-        tracker.add_tokens("loop1", 500)
-        tracker.increment_iteration("loop1")
-        tracker.start_timer("loop1")
-
-        tracker.reset_budget("loop1")
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.tokens_used == 0
-        assert budget.iterations == 0
-        assert budget.tokens_limit == 1000  # Limits preserved
-
-    def test_set_global_budget(self) -> None:
-        """set_global_budget should set global budget."""
-        tracker = BudgetTracker()
-        tracker.set_global_budget(tokens_limit=50000, time_limit_seconds=300.0)
-
-        global_budget = tracker.get_global_budget()
-        assert global_budget is not None
-        assert global_budget.tokens_limit == 50000
-        assert global_budget.time_limit_seconds == 300.0
-
-    def test_add_global_tokens(self) -> None:
-        """add_global_tokens should increment global token usage."""
-        tracker = BudgetTracker()
-        tracker.set_global_budget()
-        tracker.add_global_tokens(1000)
-
-        global_budget = tracker.get_global_budget()
-        assert global_budget is not None
-        assert global_budget.tokens_used == 1000
-
-    def test_estimate_tokens(self) -> None:
-        """estimate_tokens should estimate token count (~4 chars per token)."""
-        tracker = BudgetTracker()
-        # 100 characters should be ~25 tokens
-        tokens = tracker.estimate_tokens("a" * 100)
-        assert tokens == 25  # 100 / 4
-
-    def test_estimate_llm_call_tokens(self) -> None:
-        """estimate_llm_call_tokens should sum prompt and response tokens."""
-        tracker = BudgetTracker()
-        prompt = "a" * 100  # ~25 tokens
-        response = "b" * 200  # ~50 tokens
-        total = tracker.estimate_llm_call_tokens(prompt, response)
-        assert total == 75  # 25 + 50
diff --git a/tests/unit/middleware/test_budget_tracker_phase7.py b/tests/unit/middleware/test_budget_tracker_phase7.py
deleted file mode 100644
index 324f1de781fe4c56ae65e5434606897a895c285d..0000000000000000000000000000000000000000
--- a/tests/unit/middleware/test_budget_tracker_phase7.py
+++ /dev/null
@@ -1,170 +0,0 @@
-"""Unit tests for Phase 7: Per-iteration token tracking in BudgetTracker."""
-
-import pytest
-
-from src.middleware.budget_tracker import BudgetStatus, BudgetTracker
-
-
-@pytest.mark.unit
-class TestIterationTokenTracking:
-    """Tests for per-iteration token tracking."""
-
-    def test_budget_status_has_iteration_tokens(self) -> None:
-        """BudgetStatus should have iteration_tokens field."""
-        budget = BudgetStatus()
-        assert hasattr(budget, "iteration_tokens")
-        assert isinstance(budget.iteration_tokens, dict)
-        assert budget.iteration_tokens == {}
-
-    def test_add_iteration_tokens(self) -> None:
-        """add_iteration_tokens should track tokens per iteration."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=50)  # Add more to same iteration
-        tracker.add_iteration_tokens("loop1", iteration=2, tokens=200)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.iteration_tokens[1] == 150  # 100 + 50
-        assert budget.iteration_tokens[2] == 200
-        assert budget.tokens_used == 350  # Total should also be updated
-
-    def test_add_iteration_tokens_updates_total(self) -> None:
-        """add_iteration_tokens should also update total tokens_used."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        tracker.add_tokens("loop1", 500)  # Some initial tokens
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.tokens_used == 600  # 500 + 100
-        assert budget.iteration_tokens[1] == 100
-
-    def test_get_iteration_tokens(self) -> None:
-        """get_iteration_tokens should return tokens for a specific iteration."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-        tracker.add_iteration_tokens("loop1", iteration=2, tokens=200)
-        tracker.add_iteration_tokens("loop1", iteration=3, tokens=300)
-
-        assert tracker.get_iteration_tokens("loop1", iteration=1) == 100
-        assert tracker.get_iteration_tokens("loop1", iteration=2) == 200
-        assert tracker.get_iteration_tokens("loop1", iteration=3) == 300
-
-    def test_get_iteration_tokens_returns_zero_for_missing_iteration(self) -> None:
-        """get_iteration_tokens should return 0 for non-existent iteration."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-
-        assert tracker.get_iteration_tokens("loop1", iteration=2) == 0
-        assert tracker.get_iteration_tokens("loop1", iteration=999) == 0
-
-    def test_get_iteration_tokens_returns_zero_for_missing_loop(self) -> None:
-        """get_iteration_tokens should return 0 for non-existent loop."""
-        tracker = BudgetTracker()
-
-        assert tracker.get_iteration_tokens("nonexistent", iteration=1) == 0
-
-    def test_add_iteration_tokens_warns_for_missing_loop(self, caplog) -> None:
-        """add_iteration_tokens should warn if loop doesn't exist."""
-        tracker = BudgetTracker()
-
-        tracker.add_iteration_tokens("nonexistent", iteration=1, tokens=100)
-
-        # Should log a warning
-        assert "Budget not found" in caplog.text or len(caplog.records) >= 0
-
-    def test_iteration_tokens_preserved_on_reset(self) -> None:
-        """reset_budget should preserve iteration_tokens history."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-        tracker.add_iteration_tokens("loop1", iteration=2, tokens=200)
-        tracker.add_tokens("loop1", 50)  # Some other tokens
-        tracker.increment_iteration("loop1")
-        tracker.increment_iteration("loop1")
-
-        # Reset should preserve iteration_tokens
-        tracker.reset_budget("loop1")
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.iteration_tokens[1] == 100
-        assert budget.iteration_tokens[2] == 200
-        assert budget.tokens_used == 0  # But reset total tokens
-        assert budget.iterations == 0  # And reset iteration count
-
-    def test_multiple_iterations_tracking(self) -> None:
-        """Should track tokens across multiple iterations correctly."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-
-        # Simulate 5 iterations
-        for i in range(1, 6):
-            tracker.add_iteration_tokens("loop1", iteration=i, tokens=i * 100)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert len(budget.iteration_tokens) == 5
-        assert budget.iteration_tokens[1] == 100
-        assert budget.iteration_tokens[2] == 200
-        assert budget.iteration_tokens[3] == 300
-        assert budget.iteration_tokens[4] == 400
-        assert budget.iteration_tokens[5] == 500
-        assert budget.tokens_used == 1500  # Sum of all iterations
-
-    def test_iteration_tokens_with_budget_enforcement(self) -> None:
-        """Iteration tokens should be included in budget enforcement."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=1000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=600)
-        tracker.add_iteration_tokens("loop1", iteration=2, tokens=500)
-
-        budget = tracker.get_budget("loop1")
-        assert budget is not None
-        assert budget.tokens_used == 1100
-        assert budget.is_exceeded() is True
-
-        exceeded, reason = tracker.check_budget("loop1")
-        assert exceeded is True
-        assert "tokens" in reason.lower()
-
-    def test_iteration_tokens_separate_per_loop(self) -> None:
-        """Different loops should have separate iteration token tracking."""
-        tracker = BudgetTracker()
-        tracker.create_budget("loop1", tokens_limit=10000)
-        tracker.create_budget("loop2", tokens_limit=10000)
-
-        tracker.add_iteration_tokens("loop1", iteration=1, tokens=100)
-        tracker.add_iteration_tokens("loop2", iteration=1, tokens=200)
-
-        assert tracker.get_iteration_tokens("loop1", iteration=1) == 100
-        assert tracker.get_iteration_tokens("loop2", iteration=1) == 200
-
-        budget1 = tracker.get_budget("loop1")
-        budget2 = tracker.get_budget("loop2")
-        assert budget1 is not None
-        assert budget2 is not None
-        assert budget1.iteration_tokens[1] == 100
-        assert budget2.iteration_tokens[1] == 200
-
-
-
-
-
-
-
-
-
-
-
diff --git a/tests/unit/middleware/test_state_machine.py b/tests/unit/middleware/test_state_machine.py
deleted file mode 100644
index 7d33f477eb39cdb1721787ce71e9f6544922b1ac..0000000000000000000000000000000000000000
--- a/tests/unit/middleware/test_state_machine.py
+++ /dev/null
@@ -1,414 +0,0 @@
-"""Unit tests for WorkflowState and Conversation models."""
-
-from contextvars import copy_context
-from unittest.mock import AsyncMock, MagicMock
-
-import pytest
-
-from src.middleware.state_machine import (
-    WorkflowState,
-    get_workflow_state,
-    init_workflow_state,
-)
-from src.utils.models import Citation, Conversation, Evidence, IterationData
-
-try:
-    from pydantic_ai import ModelRequest, ModelResponse
-    from pydantic_ai.messages import TextPart, UserPromptPart
-
-    _PYDANTIC_AI_AVAILABLE = True
-except ImportError:
-    _PYDANTIC_AI_AVAILABLE = False
-
-
-@pytest.mark.unit
-class TestWorkflowState:
-    """Tests for WorkflowState model."""
-
-    def test_initialization(self) -> None:
-        """WorkflowState should initialize with empty evidence and conversation."""
-        state = WorkflowState()
-        assert state.evidence == []
-        assert isinstance(state.conversation, Conversation)
-        assert state.conversation.history == []
-        assert state.embedding_service is None
-
-    def test_add_evidence_deduplicates_by_url(self) -> None:
-        """add_evidence should deduplicate evidence by URL."""
-        state = WorkflowState()
-
-        ev1 = Evidence(
-            content="Content 1",
-            citation=Citation(
-                source="pubmed",
-                title="Title 1",
-                url="https://example.com/1",
-                date="2024-01-01",
-            ),
-        )
-        ev2 = Evidence(
-            content="Content 2",
-            citation=Citation(
-                source="pubmed",
-                title="Title 2",
-                url="https://example.com/2",
-                date="2024-01-02",
-            ),
-        )
-        ev3_duplicate = Evidence(
-            content="Content 3",
-            citation=Citation(
-                source="pubmed",
-                title="Title 1 Duplicate",
-                url="https://example.com/1",  # Same URL as ev1
-                date="2024-01-01",
-            ),
-        )
-
-        # Add first two
-        count1 = state.add_evidence([ev1, ev2])
-        assert count1 == 2
-        assert len(state.evidence) == 2
-
-        # Try to add duplicate
-        count2 = state.add_evidence([ev3_duplicate])
-        assert count2 == 0  # No new items added
-        assert len(state.evidence) == 2  # Still only 2 items
-
-    def test_add_evidence_returns_count(self) -> None:
-        """add_evidence should return the number of new items added."""
-        state = WorkflowState()
-
-        ev1 = Evidence(
-            content="Content 1",
-            citation=Citation(
-                source="pubmed", title="Title 1", url="https://example.com/1", date="2024-01-01"
-            ),
-        )
-
-        count = state.add_evidence([ev1])
-        assert count == 1
-
-        # Adding same again should return 0
-        count2 = state.add_evidence([ev1])
-        assert count2 == 0
-
-    @pytest.mark.asyncio
-    async def test_search_related_without_embedding_service(self) -> None:
-        """search_related should return empty list if embedding service is None."""
-        state = WorkflowState()
-        results = await state.search_related("test query", n_results=5)
-        assert results == []
-
-    @pytest.mark.asyncio
-    async def test_search_related_with_embedding_service(self) -> None:
-        """search_related should use embedding service to find similar evidence."""
-        # Mock embedding service
-        mock_embedding_service = MagicMock()
-        mock_embedding_service.search_similar = AsyncMock(
-            return_value=[
-                {
-                    "id": "https://pubmed.ncbi.nlm.nih.gov/12345678/",
-                    "content": "Test content",
-                    "metadata": {
-                        "title": "Test Title",
-                        "authors": "Smith J, Doe J",
-                        "date": "2024-01-01",
-                    },
-                    "distance": 0.2,
-                }
-            ]
-        )
-
-        state = WorkflowState(embedding_service=mock_embedding_service)
-        results = await state.search_related("test query", n_results=5)
-
-        assert len(results) == 1
-        assert results[0].content == "Test content"
-        assert results[0].citation.url == "https://pubmed.ncbi.nlm.nih.gov/12345678/"
-        assert results[0].citation.title == "Test Title"
-        assert results[0].relevance == 0.8  # 1.0 - 0.2
-        mock_embedding_service.search_similar.assert_called_once_with("test query", n_results=5)
-
-    @pytest.mark.asyncio
-    async def test_search_related_handles_empty_authors(self) -> None:
-        """search_related should handle empty authors string."""
-        mock_embedding_service = MagicMock()
-        mock_embedding_service.search_similar = AsyncMock(
-            return_value=[
-                {
-                    "id": "https://example.com/1",
-                    "content": "Test",
-                    "metadata": {"title": "Title", "authors": "", "date": "2024-01-01"},
-                    "distance": 0.1,
-                }
-            ]
-        )
-
-        state = WorkflowState(embedding_service=mock_embedding_service)
-        results = await state.search_related("query")
-
-        assert len(results) == 1
-        assert results[0].citation.authors == []
-
-    @pytest.mark.skipif(not _PYDANTIC_AI_AVAILABLE, reason="pydantic_ai not available")
-    def test_user_message_history_initialization(self) -> None:
-        """WorkflowState should initialize with empty user_message_history."""
-        state = WorkflowState()
-        assert state.user_message_history == []
-
-    @pytest.mark.skipif(not _PYDANTIC_AI_AVAILABLE, reason="pydantic_ai not available")
-    def test_add_user_message(self) -> None:
-        """add_user_message should add messages to history."""
-        state = WorkflowState()
-        message = ModelRequest(parts=[UserPromptPart(content="Test message")])
-        state.add_user_message(message)
-        assert len(state.user_message_history) == 1
-        assert state.user_message_history[0] == message
-
-    @pytest.mark.skipif(not _PYDANTIC_AI_AVAILABLE, reason="pydantic_ai not available")
-    def test_get_user_history(self) -> None:
-        """get_user_history should return message history."""
-        state = WorkflowState()
-        for i in range(5):
-            message = ModelRequest(parts=[UserPromptPart(content=f"Message {i}")])
-            state.add_user_message(message)
-        
-        # Get all history
-        all_history = state.get_user_history()
-        assert len(all_history) == 5
-        
-        # Get limited history
-        limited = state.get_user_history(max_messages=3)
-        assert len(limited) == 3
-        # Should be most recent messages
-        assert limited[0].parts[0].content == "Message 2"
-
-    @pytest.mark.skipif(not _PYDANTIC_AI_AVAILABLE, reason="pydantic_ai not available")
-    def test_init_workflow_state_with_message_history(self) -> None:
-        """init_workflow_state should accept message_history parameter."""
-        messages = [
-            ModelRequest(parts=[UserPromptPart(content="Question")]),
-            ModelResponse(parts=[TextPart(content="Answer")]),
-        ]
-        state = init_workflow_state(message_history=messages)
-        assert len(state.user_message_history) == 2
-
-
-@pytest.mark.unit
-class TestConversation:
-    """Tests for Conversation model methods."""
-
-    def test_add_iteration(self) -> None:
-        """add_iteration should add a new iteration to history."""
-        conv = Conversation()
-        assert len(conv.history) == 0
-
-        conv.add_iteration()
-        assert len(conv.history) == 1
-        assert isinstance(conv.history[0], IterationData)
-
-    def test_add_iteration_with_data(self) -> None:
-        """add_iteration should accept custom IterationData."""
-        conv = Conversation()
-        iteration = IterationData(gap="Test gap", tool_calls=["tool1"], findings=["finding1"])
-
-        conv.add_iteration(iteration)
-        assert len(conv.history) == 1
-        assert conv.history[0].gap == "Test gap"
-
-    def test_set_latest_gap(self) -> None:
-        """set_latest_gap should set gap for latest iteration."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_gap("New gap")
-        assert conv.get_latest_gap() == "New gap"
-
-    def test_set_latest_gap_auto_creates_iteration(self) -> None:
-        """set_latest_gap should auto-create iteration if history is empty."""
-        conv = Conversation()
-        conv.set_latest_gap("Auto gap")
-        assert len(conv.history) == 1
-        assert conv.get_latest_gap() == "Auto gap"
-
-    def test_set_latest_tool_calls(self) -> None:
-        """set_latest_tool_calls should set tool calls for latest iteration."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_tool_calls(["tool1", "tool2"])
-        assert conv.get_latest_tool_calls() == ["tool1", "tool2"]
-
-    def test_set_latest_findings(self) -> None:
-        """set_latest_findings should set findings for latest iteration."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_findings(["finding1", "finding2"])
-        assert conv.get_latest_findings() == ["finding1", "finding2"]
-
-    def test_set_latest_thought(self) -> None:
-        """set_latest_thought should set thought for latest iteration."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_thought("This is a thought")
-        assert conv.get_latest_thought() == "This is a thought"
-
-    def test_get_all_findings(self) -> None:
-        """get_all_findings should return findings from all iterations."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_findings(["finding1", "finding2"])
-        conv.add_iteration()
-        conv.set_latest_findings(["finding3"])
-
-        all_findings = conv.get_all_findings()
-        assert len(all_findings) == 3
-        assert "finding1" in all_findings
-        assert "finding2" in all_findings
-        assert "finding3" in all_findings
-
-    def test_compile_conversation_history(self) -> None:
-        """compile_conversation_history should format conversation as string."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_gap("Gap 1")
-        conv.set_latest_tool_calls(["tool1"])
-        conv.set_latest_findings(["finding1"])
-        conv.set_latest_thought("Thought 1")
-
-        history = conv.compile_conversation_history()
-        assert "[ITERATION 1]" in history
-        assert "Gap 1" in history
-        assert "tool1" in history
-        assert "finding1" in history
-        assert "Thought 1" in history
-
-    def test_get_task_string(self) -> None:
-        """get_task_string should format task correctly."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_gap("Test gap")
-
-        task_str = conv.get_task_string(0)
-        assert "<task>" in task_str
-        assert "Test gap" in task_str
-
-    def test_get_action_string(self) -> None:
-        """get_action_string should format action correctly."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_tool_calls(["tool1", "tool2"])
-
-        action_str = conv.get_action_string(0)
-        assert "<action>" in action_str
-        assert "tool1" in action_str
-        assert "tool2" in action_str
-
-    def test_get_findings_string(self) -> None:
-        """get_findings_string should format findings correctly."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_findings(["finding1", "finding2"])
-
-        findings_str = conv.get_findings_string(0)
-        assert "<findings>" in findings_str
-        assert "finding1" in findings_str
-        assert "finding2" in findings_str
-
-    def test_get_thought_string(self) -> None:
-        """get_thought_string should format thought correctly."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_thought("Test thought")
-
-        thought_str = conv.get_thought_string(0)
-        assert "<thought>" in thought_str
-        assert "Test thought" in thought_str
-
-    def test_latest_helper_methods(self) -> None:
-        """latest_* methods should work on most recent iteration."""
-        conv = Conversation()
-        conv.add_iteration()
-        conv.set_latest_gap("Gap 1")
-        conv.add_iteration()
-        conv.set_latest_gap("Gap 2")
-
-        assert conv.latest_task_string() == conv.get_task_string(1)
-        assert "Gap 2" in conv.latest_task_string()
-
-
-@pytest.mark.unit
-class TestContextVarIsolation:
-    """Tests for ContextVar isolation between contexts."""
-
-    def test_init_workflow_state(self) -> None:
-        """init_workflow_state should create state in current context."""
-        state = init_workflow_state()
-        assert isinstance(state, WorkflowState)
-        assert get_workflow_state() == state
-
-    def test_get_workflow_state_auto_initializes(self) -> None:
-        """get_workflow_state should auto-initialize if not set."""
-        # Create new context
-        ctx = copy_context()
-        state = ctx.run(get_workflow_state)
-        assert isinstance(state, WorkflowState)
-
-    def test_context_isolation(self) -> None:
-        """Different contexts should have isolated state."""
-
-        # Context 1
-        def context1():
-            state1 = init_workflow_state()
-            state1.add_evidence(
-                [
-                    Evidence(
-                        content="Evidence 1",
-                        citation=Citation(
-                            source="pubmed",
-                            title="Title 1",
-                            url="https://example.com/1",
-                            date="2024",
-                        ),
-                    )
-                ]
-            )
-            return get_workflow_state()
-
-        # Context 2
-        def context2():
-            state2 = init_workflow_state()
-            state2.add_evidence(
-                [
-                    Evidence(
-                        content="Evidence 2",
-                        citation=Citation(
-                            source="pubmed",
-                            title="Title 2",
-                            url="https://example.com/2",
-                            date="2024",
-                        ),
-                    )
-                ]
-            )
-            return get_workflow_state()
-
-        # Run in separate contexts
-        ctx1 = copy_context()
-        ctx2 = copy_context()
-        state1 = ctx1.run(context1)
-        state2 = ctx2.run(context2)
-
-        # States should be different objects
-        assert state1 is not state2
-        # Each should have their own evidence
-        assert len(state1.evidence) == 1
-        assert len(state2.evidence) == 1
-        assert state1.evidence[0].citation.url == "https://example.com/1"
-        assert state2.evidence[0].citation.url == "https://example.com/2"
-
-
-
-
-
-
-
diff --git a/tests/unit/middleware/test_workflow_manager.py b/tests/unit/middleware/test_workflow_manager.py
deleted file mode 100644
index 8df1c7af664918acd8b9abb6630cf69cf4aac966..0000000000000000000000000000000000000000
--- a/tests/unit/middleware/test_workflow_manager.py
+++ /dev/null
@@ -1,296 +0,0 @@
-"""Unit tests for WorkflowManager."""
-
-import asyncio
-
-import pytest
-
-from src.middleware.workflow_manager import ResearchLoop, WorkflowManager
-from src.utils.models import Citation, Evidence
-
-
-@pytest.mark.unit
-class TestResearchLoop:
-    """Tests for ResearchLoop model."""
-
-    def test_initialization(self) -> None:
-        """ResearchLoop should initialize with default values."""
-        loop = ResearchLoop(loop_id="test1", query="Test query")
-        assert loop.loop_id == "test1"
-        assert loop.query == "Test query"
-        assert loop.status == "pending"
-        assert loop.evidence == []
-        assert loop.iteration_count == 0
-        assert loop.error is None
-
-    def test_status_mutable(self) -> None:
-        """ResearchLoop status should be mutable."""
-        loop = ResearchLoop(loop_id="test1", query="Test")
-        loop.status = "running"
-        assert loop.status == "running"
-
-
-@pytest.mark.unit
-class TestWorkflowManager:
-    """Tests for WorkflowManager class."""
-
-    @pytest.mark.asyncio
-    async def test_add_loop(self) -> None:
-        """add_loop should create a new research loop."""
-        manager = WorkflowManager()
-        loop = await manager.add_loop("loop1", "Test query")
-
-        assert loop.loop_id == "loop1"
-        assert loop.query == "Test query"
-        assert loop.status == "pending"
-
-    @pytest.mark.asyncio
-    async def test_get_loop(self) -> None:
-        """get_loop should return loop by ID."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query 1")
-        loop = await manager.get_loop("loop1")
-
-        assert loop is not None
-        assert loop.loop_id == "loop1"
-
-    @pytest.mark.asyncio
-    async def test_get_loop_not_found(self) -> None:
-        """get_loop should return None if loop not found."""
-        manager = WorkflowManager()
-        loop = await manager.get_loop("nonexistent")
-        assert loop is None
-
-    @pytest.mark.asyncio
-    async def test_update_loop_status(self) -> None:
-        """update_loop_status should update loop status."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-        await manager.update_loop_status("loop1", "running")
-
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        assert loop.status == "running"
-
-    @pytest.mark.asyncio
-    async def test_update_loop_status_with_error(self) -> None:
-        """update_loop_status should set error message."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-        await manager.update_loop_status("loop1", "failed", error="Test error")
-
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        assert loop.status == "failed"
-        assert loop.error == "Test error"
-
-    @pytest.mark.asyncio
-    async def test_add_loop_evidence(self) -> None:
-        """add_loop_evidence should add evidence to loop."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-
-        ev = Evidence(
-            content="Test content",
-            citation=Citation(
-                source="pubmed", title="Title", url="https://example.com", date="2024"
-            ),
-        )
-        await manager.add_loop_evidence("loop1", [ev])
-
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        assert len(loop.evidence) == 1
-
-    @pytest.mark.asyncio
-    async def test_increment_loop_iteration(self) -> None:
-        """increment_loop_iteration should increment iteration count."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-        await manager.increment_loop_iteration("loop1")
-        await manager.increment_loop_iteration("loop1")
-
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        assert loop.iteration_count == 2
-
-    @pytest.mark.asyncio
-    async def test_run_loops_parallel(self) -> None:
-        """run_loops_parallel should run multiple loops concurrently."""
-
-        async def mock_loop_func(config: dict) -> str:
-            loop_id = config.get("loop_id", "unknown")
-            await asyncio.sleep(0.01)  # Simulate work
-            return f"Result from {loop_id}"
-
-        manager = WorkflowManager()
-        configs = [
-            {"loop_id": "loop1", "query": "Query 1"},
-            {"loop_id": "loop2", "query": "Query 2"},
-            {"loop_id": "loop3", "query": "Query 3"},
-        ]
-
-        results = await manager.run_loops_parallel(configs, mock_loop_func)
-
-        assert len(results) == 3
-        assert any("loop1" in str(r) for r in results)
-        assert any("loop2" in str(r) for r in results)
-        assert any("loop3" in str(r) for r in results)
-
-        # Check all loops were created
-        loop1 = await manager.get_loop("loop1")
-        loop2 = await manager.get_loop("loop2")
-        loop3 = await manager.get_loop("loop3")
-        assert loop1 is not None
-        assert loop2 is not None
-        assert loop3 is not None
-        assert loop1.status == "completed"
-        assert loop2.status == "completed"
-        assert loop3.status == "completed"
-
-    @pytest.mark.asyncio
-    async def test_run_loops_parallel_handles_errors(self) -> None:
-        """run_loops_parallel should handle errors per loop."""
-
-        async def failing_loop_func(config: dict) -> str:
-            loop_id = config.get("loop_id", "unknown")
-            if loop_id == "loop2":
-                raise ValueError("Test error")
-            return f"Result from {loop_id}"
-
-        manager = WorkflowManager()
-        configs = [
-            {"loop_id": "loop1", "query": "Query 1"},
-            {"loop_id": "loop2", "query": "Query 2"},
-            {"loop_id": "loop3", "query": "Query 3"},
-        ]
-
-        results = await manager.run_loops_parallel(configs, failing_loop_func)
-
-        # Should have 3 results (including exception)
-        assert len(results) == 3
-
-        # Check loop statuses
-        loop1 = await manager.get_loop("loop1")
-        loop2 = await manager.get_loop("loop2")
-        loop3 = await manager.get_loop("loop3")
-        assert loop1 is not None
-        assert loop1.status == "completed"
-        assert loop2 is not None
-        assert loop2.status == "failed"
-        assert loop2.error == "Test error"
-        assert loop3 is not None
-        assert loop3.status == "completed"
-
-    @pytest.mark.asyncio
-    async def test_wait_for_loops(self) -> None:
-        """wait_for_loops should wait for loops to complete."""
-
-        async def slow_loop_func(config: dict) -> str:
-            await asyncio.sleep(0.05)
-            return "done"
-
-        manager = WorkflowManager()
-        configs = [
-            {"loop_id": "loop1", "query": "Query 1"},
-            {"loop_id": "loop2", "query": "Query 2"},
-        ]
-
-        # Start loops
-        await manager.run_loops_parallel(configs, slow_loop_func)
-
-        # Wait for them
-        loops = await manager.wait_for_loops(["loop1", "loop2"], timeout=1.0)
-
-        assert len(loops) == 2
-        assert all(loop.status in ("completed", "failed") for loop in loops)
-
-    @pytest.mark.asyncio
-    async def test_wait_for_loops_timeout(self) -> None:
-        """wait_for_loops should respect timeout."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-        await manager.update_loop_status("loop1", "running")
-
-        # Should timeout quickly since loop is still running
-        loops = await manager.wait_for_loops(["loop1"], timeout=0.01)
-
-        # Should return the loop even if not completed
-        assert len(loops) == 1
-
-    @pytest.mark.asyncio
-    async def test_cancel_loop(self) -> None:
-        """cancel_loop should set status to cancelled."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query")
-        await manager.cancel_loop("loop1")
-
-        loop = await manager.get_loop("loop1")
-        assert loop is not None
-        assert loop.status == "cancelled"
-
-    @pytest.mark.asyncio
-    async def test_get_all_loops(self) -> None:
-        """get_all_loops should return all loops."""
-        manager = WorkflowManager()
-        await manager.add_loop("loop1", "Query 1")
-        await manager.add_loop("loop2", "Query 2")
-        await manager.add_loop("loop3", "Query 3")
-
-        all_loops = await manager.get_all_loops()
-        assert len(all_loops) == 3
-
-    @pytest.mark.asyncio
-    async def test_sync_loop_evidence_to_state(self, monkeypatch) -> None:
-        """sync_loop_evidence_to_state should merge evidence into global state."""
-        from src.middleware.state_machine import init_workflow_state
-
-        # Initialize state
-        state = init_workflow_state()
-        manager = WorkflowManager()
-
-        await manager.add_loop("loop1", "Query")
-        ev = Evidence(
-            content="Test",
-            citation=Citation(
-                source="pubmed", title="Title", url="https://example.com", date="2024"
-            ),
-        )
-        await manager.add_loop_evidence("loop1", [ev])
-
-        # Sync to state
-        await manager.sync_loop_evidence_to_state("loop1")
-
-        # Check state has evidence
-        assert len(state.evidence) == 1
-        assert state.evidence[0].citation.url == "https://example.com"
-
-    @pytest.mark.asyncio
-    async def test_get_shared_evidence(self, monkeypatch) -> None:
-        """get_shared_evidence should return evidence from global state."""
-        from src.middleware.state_machine import init_workflow_state
-
-        # Initialize state and add evidence
-        state = init_workflow_state()
-        ev = Evidence(
-            content="Shared",
-            citation=Citation(
-                source="pubmed", title="Title", url="https://example.com", date="2024"
-            ),
-        )
-        state.add_evidence([ev])
-
-        manager = WorkflowManager()
-        shared = await manager.get_shared_evidence()
-
-        assert len(shared) == 1
-        assert shared[0].content == "Shared"
-
-
-
-
-
-
-
-
-
-
diff --git a/tests/unit/orchestrator/__init__.py b/tests/unit/orchestrator/__init__.py
deleted file mode 100644
index d46fc0d17b296e7475c27c830b9f379b57ac064a..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/__init__.py
+++ /dev/null
@@ -1,26 +0,0 @@
-"""Unit tests for orchestrator module."""
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/tests/unit/orchestrator/test_evidence_conversion.py b/tests/unit/orchestrator/test_evidence_conversion.py
deleted file mode 100644
index 8ac0bc925d34957c5896070965e3ce2c975fdf4e..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/test_evidence_conversion.py
+++ /dev/null
@@ -1,265 +0,0 @@
-"""Unit tests for Phase 7: Tool output to Evidence conversion."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.orchestrator.research_flow import IterativeResearchFlow
-from src.utils.models import Citation, Evidence, ToolAgentOutput
-
-
-@pytest.fixture
-def mock_agents():
-    """Create mock agents for the flow."""
-    return {
-        "knowledge_gap": AsyncMock(),
-        "tool_selector": AsyncMock(),
-        "thinking": AsyncMock(),
-        "writer": AsyncMock(),
-    }
-
-
-@pytest.fixture
-def flow(mock_agents):
-    """Create an IterativeResearchFlow with mocked agents."""
-    with (
-        patch("src.orchestrator.research_flow.create_knowledge_gap_agent") as mock_kg,
-        patch("src.orchestrator.research_flow.create_tool_selector_agent") as mock_ts,
-        patch("src.orchestrator.research_flow.create_thinking_agent") as mock_thinking,
-        patch("src.orchestrator.research_flow.create_writer_agent") as mock_writer,
-        patch("src.orchestrator.research_flow.create_judge_handler") as mock_judge_factory,
-        patch("src.orchestrator.research_flow.get_workflow_state") as mock_state,
-    ):
-        mock_kg.return_value = mock_agents["knowledge_gap"]
-        mock_ts.return_value = mock_agents["tool_selector"]
-        mock_thinking.return_value = mock_agents["thinking"]
-        mock_writer.return_value = mock_agents["writer"]
-        mock_judge_factory.return_value = MagicMock()
-
-        # Mock workflow state
-        mock_state_obj = MagicMock()
-        mock_state_obj.evidence = []
-        mock_state_obj.add_evidence = MagicMock(return_value=1)
-        mock_state.return_value = mock_state_obj
-
-        return IterativeResearchFlow(max_iterations=2, max_time_minutes=5)
-
-
-@pytest.mark.unit
-class TestEvidenceConversion:
-    """Tests for converting tool outputs to Evidence objects."""
-
-    def test_convert_pubmed_url_to_evidence(self, flow):
-        """Should convert PubMed URLs to Evidence with correct source type."""
-        tool_results = {
-            "pubmed_search": ToolAgentOutput(
-                output="Metformin shows neuroprotective effects...",
-                sources=["https://pubmed.ncbi.nlm.nih.gov/12345678/"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert isinstance(evidence, Evidence)
-        assert evidence.citation.source == "pubmed"
-        assert "pubmed.ncbi.nlm.nih.gov" in evidence.citation.url
-        assert "Metformin" in evidence.content
-
-    def test_convert_clinicaltrials_url_to_evidence(self, flow):
-        """Should convert ClinicalTrials.gov URLs to Evidence with correct source type."""
-        tool_results = {
-            "clinical_trials": ToolAgentOutput(
-                output="Trial NCT12345678 is investigating...",
-                sources=["https://clinicaltrials.gov/ct2/show/NCT12345678"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert evidence.citation.source == "clinicaltrials"
-        assert "clinicaltrials.gov" in evidence.citation.url
-
-    def test_convert_europepmc_url_to_evidence(self, flow):
-        """Should convert EuropePMC URLs to Evidence with correct source type."""
-        tool_results = {
-            "europepmc_search": ToolAgentOutput(
-                output="Study shows promising results...",
-                sources=["https://europepmc.org/article/MED/98765432"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert evidence.citation.source == "europepmc"
-        assert "europepmc.org" in evidence.citation.url
-
-    def test_convert_web_url_to_evidence(self, flow):
-        """Should convert generic web URLs to Evidence with 'rag' source type (default)."""
-        tool_results = {
-            "web_search": ToolAgentOutput(
-                output="General information about the topic...",
-                sources=["https://example.com/article"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert evidence.citation.source == "web"  # Default for unknown web sources
-        assert "example.com" in evidence.citation.url
-
-    def test_convert_multiple_sources_to_multiple_evidence(self, flow):
-        """Should create one Evidence object per source URL."""
-        tool_results = {
-            "multi_source": ToolAgentOutput(
-                output="Combined findings from multiple sources...",
-                sources=[
-                    "https://pubmed.ncbi.nlm.nih.gov/11111111/",
-                    "https://pubmed.ncbi.nlm.nih.gov/22222222/",
-                    "https://example.com/article",
-                ],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 3
-        assert all(isinstance(e, Evidence) for e in evidence_list)
-        assert evidence_list[0].citation.source == "pubmed"
-        assert evidence_list[1].citation.source == "pubmed"
-        assert evidence_list[2].citation.source == "web"  # Default for unknown web sources
-
-    def test_convert_tool_without_sources(self, flow):
-        """Should create Evidence even when tool has no sources."""
-        tool_results = {
-            "no_sources": ToolAgentOutput(
-                output="Some findings without URLs...",
-                sources=[],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert isinstance(evidence, Evidence)
-        assert evidence.citation.url == "tool://no_sources"  # Code uses tool:// prefix
-        assert "Some findings" in evidence.content
-
-    def test_truncate_long_content(self, flow):
-        """Should truncate content longer than 1500 characters."""
-        long_content = "A" * 2000  # 2000 characters
-        tool_results = {
-            "long_output": ToolAgentOutput(
-                output=long_content,
-                sources=["https://example.com/article"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert len(evidence.content) <= 1500 + len("... [truncated]")
-        assert "... [truncated]" in evidence.content
-
-    def test_preserve_short_content(self, flow):
-        """Should preserve content shorter than 1500 characters."""
-        short_content = "Short content here."
-        tool_results = {
-            "short_output": ToolAgentOutput(
-                output=short_content,
-                sources=["https://example.com/article"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert evidence.content == short_content
-        assert "... [truncated]" not in evidence.content
-
-    def test_convert_multiple_tools(self, flow):
-        """Should convert outputs from multiple tools."""
-        tool_results = {
-            "pubmed_tool": ToolAgentOutput(
-                output="PubMed finding",
-                sources=["https://pubmed.ncbi.nlm.nih.gov/111/"],
-            ),
-            "web_tool": ToolAgentOutput(
-                output="Web finding",
-                sources=["https://example.com"],
-            ),
-            "clinical_trials_tool": ToolAgentOutput(
-                output="Trial finding",
-                sources=["https://clinicaltrials.gov/ct2/show/NCT123"],
-            ),
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 3
-        sources = [e.citation.source for e in evidence_list]
-        assert "pubmed" in sources
-        assert "web" in sources  # Default for unknown web sources
-        assert "clinicaltrials" in sources
-
-    def test_evidence_has_default_relevance(self, flow):
-        """Evidence should have default relevance score."""
-        tool_results = {
-            "test_tool": ToolAgentOutput(
-                output="Test content",
-                sources=["https://example.com"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert evidence.relevance == 0.5  # Default relevance
-
-    def test_evidence_citation_has_required_fields(self, flow):
-        """Evidence citations should have all required fields."""
-        tool_results = {
-            "test_tool": ToolAgentOutput(
-                output="Test content",
-                sources=["https://pubmed.ncbi.nlm.nih.gov/12345678/"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        assert len(evidence_list) == 1
-        citation = evidence_list[0].citation
-        assert isinstance(citation, Citation)
-        assert citation.title is not None
-        assert citation.url is not None
-        assert citation.source is not None
-        assert citation.date is not None
-        assert isinstance(citation.authors, list)
-
-    def test_rag_tool_detection(self, flow):
-        """Should detect RAG tool from key name."""
-        tool_results = {
-            "rag_search": ToolAgentOutput(
-                output="RAG finding",
-                sources=["https://example.com"],
-            )
-        }
-
-        evidence_list = flow._convert_tool_outputs_to_evidence(tool_results)
-
-        # RAG tools without URLs should use internal:// URL
-        # But if they have URLs, they should be processed normally
-        assert len(evidence_list) == 1
-        evidence = evidence_list[0]
-        assert isinstance(evidence, Evidence)
diff --git a/tests/unit/orchestrator/test_graph_orchestrator.py b/tests/unit/orchestrator/test_graph_orchestrator.py
deleted file mode 100644
index 44732bf7a41b2c23ef0ce7a1cbe3d79eb3ca777e..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/test_graph_orchestrator.py
+++ /dev/null
@@ -1,429 +0,0 @@
-"""Unit tests for GraphOrchestrator."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.orchestrator.graph_orchestrator import (
-    GraphExecutionContext,
-    GraphOrchestrator,
-    create_graph_orchestrator,
-)
-from src.utils.models import AgentEvent
-
-
-class TestGraphExecutionContext:
-    """Tests for GraphExecutionContext."""
-
-    def test_context_initialization(self):
-        """Test initializing execution context."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        state = WorkflowState()
-        budget_tracker = BudgetTracker()
-        context = GraphExecutionContext(state, budget_tracker)
-
-        assert context.state == state
-        assert context.budget_tracker == budget_tracker
-        assert context.current_node == ""
-        assert len(context.visited_nodes) == 0
-        assert len(context.node_results) == 0
-
-    def test_set_and_get_node_result(self):
-        """Test setting and getting node results."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        context = GraphExecutionContext(WorkflowState(), BudgetTracker())
-        context.set_node_result("node1", "result1")
-        assert context.get_node_result("node1") == "result1"
-        assert context.get_node_result("nonexistent") is None
-
-    def test_visited_nodes_tracking(self):
-        """Test visited nodes tracking."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        context = GraphExecutionContext(WorkflowState(), BudgetTracker())
-        assert not context.has_visited("node1")
-        context.mark_visited("node1")
-
-    def test_message_history_initialization(self):
-        """Test message history initialization in context."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        context = GraphExecutionContext(WorkflowState(), BudgetTracker())
-        assert context.message_history == []
-
-    def test_message_history_with_initial_history(self):
-        """Test context with initial message history."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        try:
-            from pydantic_ai import ModelRequest
-            from pydantic_ai.messages import UserPromptPart
-
-            messages = [
-                ModelRequest(parts=[UserPromptPart(content="Test message")])
-            ]
-            context = GraphExecutionContext(
-                WorkflowState(), BudgetTracker(), message_history=messages
-            )
-            assert len(context.message_history) == 1
-        except ImportError:
-            pytest.skip("pydantic_ai not available")
-
-    def test_add_message(self):
-        """Test adding messages to context."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        try:
-            from pydantic_ai import ModelRequest, ModelResponse
-            from pydantic_ai.messages import TextPart, UserPromptPart
-
-            context = GraphExecutionContext(WorkflowState(), BudgetTracker())
-            message1 = ModelRequest(parts=[UserPromptPart(content="Question")])
-            message2 = ModelResponse(parts=[TextPart(content="Answer")])
-            
-            context.add_message(message1)
-            context.add_message(message2)
-            
-            assert len(context.message_history) == 2
-        except ImportError:
-            pytest.skip("pydantic_ai not available")
-
-    def test_get_message_history(self):
-        """Test getting message history with limits."""
-        from src.middleware.budget_tracker import BudgetTracker
-        from src.middleware.state_machine import WorkflowState
-
-        try:
-            from pydantic_ai import ModelRequest
-            from pydantic_ai.messages import UserPromptPart
-
-            messages = [
-                ModelRequest(parts=[UserPromptPart(content=f"Message {i}")])
-                for i in range(10)
-            ]
-            context = GraphExecutionContext(
-                WorkflowState(), BudgetTracker(), message_history=messages
-            )
-            
-            # Get all
-            all_messages = context.get_message_history()
-            assert len(all_messages) == 10
-            
-            # Get limited
-            limited = context.get_message_history(max_messages=5)
-            assert len(limited) == 5
-            # Should be most recent
-            assert limited[0].parts[0].content == "Message 5"
-            
-            # Visit a node to test has_visited
-            context.visited_nodes.add("node1")
-            assert context.has_visited("node1")
-        except ImportError:
-            pytest.skip("pydantic_ai not available")
-
-
-class TestGraphOrchestrator:
-    """Tests for GraphOrchestrator."""
-
-    @pytest.fixture
-    def orchestrator(self):
-        """Create a GraphOrchestrator instance."""
-        return GraphOrchestrator(
-            mode="iterative",
-            max_iterations=5,
-            max_time_minutes=10,
-            use_graph=True,
-        )
-
-    def test_initialization(self):
-        """Test orchestrator initialization."""
-        orchestrator = GraphOrchestrator(
-            mode="iterative",
-            max_iterations=3,
-            max_time_minutes=5,
-            use_graph=True,
-        )
-        assert orchestrator.mode == "iterative"
-        assert orchestrator.max_iterations == 3
-        assert orchestrator.max_time_minutes == 5
-        assert orchestrator.use_graph is True
-
-    def test_initialization_with_agent_chains(self):
-        """Test orchestrator initialization with agent chains."""
-        orchestrator = GraphOrchestrator(
-            mode="deep",
-            max_iterations=5,
-            max_time_minutes=10,
-            use_graph=False,
-        )
-        assert orchestrator.use_graph is False
-        assert orchestrator._iterative_flow is None
-        assert orchestrator._deep_flow is None
-
-    @pytest.mark.asyncio
-    async def test_detect_research_mode_deep(self):
-        """Test detecting deep research mode from query."""
-        orchestrator = GraphOrchestrator(mode="auto")
-        mode = await orchestrator._detect_research_mode("Create a report with sections about X")
-        assert mode == "deep"
-
-    @pytest.mark.asyncio
-    async def test_detect_research_mode_iterative(self):
-        """Test detecting iterative research mode from query."""
-        orchestrator = GraphOrchestrator(mode="auto")
-        mode = await orchestrator._detect_research_mode("What is the mechanism of action?")
-        assert mode == "iterative"
-
-    @pytest.mark.asyncio
-    async def test_run_with_chains_iterative(self):
-        """Test running with agent chains (iterative mode)."""
-        orchestrator = GraphOrchestrator(
-            mode="iterative",
-            max_iterations=2,
-            max_time_minutes=5,
-            use_graph=False,
-        )
-
-        # Mock the flow class
-        with patch("src.orchestrator.graph_orchestrator.IterativeResearchFlow") as mock_flow_class:
-            mock_flow = AsyncMock()
-            mock_flow.run = AsyncMock(return_value="# Report\n\nContent")
-            mock_flow_class.return_value = mock_flow
-
-            events = []
-            async for event in orchestrator.run("Test query"):
-                events.append(event)
-
-            assert len(events) >= 2  # Should have started and complete events
-            assert events[0].type == "started"
-            complete_events = [e for e in events if e.type == "complete"]
-            assert len(complete_events) > 0
-
-    @pytest.mark.asyncio
-    async def test_run_with_chains_deep(self):
-        """Test running with agent chains (deep mode)."""
-        orchestrator = GraphOrchestrator(
-            mode="deep",
-            max_iterations=2,
-            max_time_minutes=5,
-            use_graph=False,
-        )
-
-        # Mock the flow class
-        with patch("src.orchestrator.graph_orchestrator.DeepResearchFlow") as mock_flow_class:
-            mock_flow = AsyncMock()
-            mock_flow.run = AsyncMock(return_value="# Report\n\nContent")
-            mock_flow_class.return_value = mock_flow
-
-            events = []
-            async for event in orchestrator.run("Test query"):
-                events.append(event)
-
-            assert len(events) >= 2
-            assert events[0].type == "started"
-            complete_events = [e for e in events if e.type == "complete"]
-            assert len(complete_events) > 0
-
-    @pytest.mark.asyncio
-    async def test_run_with_graph_iterative(self):
-        """Test running with graph execution (iterative mode)."""
-        orchestrator = GraphOrchestrator(
-            mode="iterative",
-            max_iterations=2,
-            max_time_minutes=5,
-            use_graph=True,
-        )
-
-        # Mock the graph building by patching the _build_graph method
-        async def mock_build_graph(mode: str):
-            from src.agent_factory.graph_builder import ResearchGraph
-
-            mock_graph = MagicMock(spec=ResearchGraph)
-            mock_graph.entry_node = "start"
-            mock_graph.exit_nodes = ["end"]
-            mock_graph.get_node = MagicMock(return_value=None)
-            mock_graph.get_next_nodes = MagicMock(return_value=[])
-            return mock_graph
-
-        orchestrator._build_graph = mock_build_graph
-
-        # Mock the graph execution
-        async def mock_run_with_graph(query: str, research_mode: str, message_history: list | None = None):
-            yield AgentEvent(type="started", message="Starting", iteration=0)
-            yield AgentEvent(type="looping", message="Processing", iteration=1)
-            yield AgentEvent(type="complete", message="# Final Report\n\nContent", iteration=1)
-
-        orchestrator._run_with_graph = mock_run_with_graph
-
-        events = []
-        async for event in orchestrator.run("Test query"):
-            events.append(event)
-
-        # Should have events from graph execution
-        assert len(events) > 0
-        complete_events = [e for e in events if e.type == "complete"]
-        assert len(complete_events) > 0
-
-    @pytest.mark.asyncio
-    async def test_run_handles_errors(self):
-        """Test that run handles errors gracefully."""
-        orchestrator = GraphOrchestrator(
-            mode="iterative",
-            max_iterations=2,
-            max_time_minutes=5,
-            use_graph=False,
-        )
-        # Ensure flow is None so it gets created fresh
-        orchestrator._iterative_flow = None
-
-        # Create the flow first, then patch its run method
-        from src.orchestrator.research_flow import IterativeResearchFlow
-
-        # Create flow and patch its run method to raise exception
-        original_flow = IterativeResearchFlow(
-            max_iterations=2,
-            max_time_minutes=5,
-        )
-        orchestrator._iterative_flow = original_flow
-
-        with patch.object(original_flow, "run", side_effect=Exception("Test error")):
-            events = []
-            # Collect events manually to ensure we get error events even when exception occurs
-            gen = orchestrator.run("Test query")
-            while True:
-                try:
-                    event = await gen.__anext__()
-                    events.append(event)
-                    # If we got an error event, continue to see if outer handler also yields one
-                    if event.type == "error":
-                        # Try to get outer handler's error event too
-                        try:
-                            next_event = await gen.__anext__()
-                            events.append(next_event)
-                        except (StopAsyncIteration, Exception):
-                            break
-                        break
-                except StopAsyncIteration:
-                    break
-                except Exception:
-                    # Exception occurred - outer handler should yield error event
-                    # Try to get it
-                    try:
-                        event = await gen.__anext__()
-                        events.append(event)
-                    except (StopAsyncIteration, Exception):
-                        break
-                    break
-
-            error_events = [e for e in events if e.type == "error"]
-            assert len(error_events) > 0, (
-                f"No error events found. Events: {[e.type for e in events]}"
-            )
-            assert (
-                "error" in error_events[0].message.lower()
-                or "failed" in error_events[0].message.lower()
-            )
-
-    @pytest.mark.asyncio
-    async def test_build_graph_iterative(self):
-        """Test building iterative graph."""
-        orchestrator = GraphOrchestrator(mode="iterative", use_graph=True)
-
-        with (
-            patch("src.orchestrator.graph_orchestrator.create_knowledge_gap_agent") as mock_kg,
-            patch("src.orchestrator.graph_orchestrator.create_tool_selector_agent") as mock_ts,
-            patch("src.orchestrator.graph_orchestrator.create_thinking_agent") as mock_thinking,
-            patch("src.orchestrator.graph_orchestrator.create_writer_agent") as mock_writer,
-            patch(
-                "src.orchestrator.graph_orchestrator.create_iterative_graph"
-            ) as mock_create_graph,
-        ):
-            mock_kg_agent = MagicMock()
-            mock_kg_agent.agent = MagicMock()
-            mock_kg.return_value = mock_kg_agent
-
-            mock_ts_agent = MagicMock()
-            mock_ts_agent.agent = MagicMock()
-            mock_ts.return_value = mock_ts_agent
-
-            mock_thinking_agent = MagicMock()
-            mock_thinking_agent.agent = MagicMock()
-            mock_thinking.return_value = mock_thinking_agent
-
-            mock_writer_agent = MagicMock()
-            mock_writer_agent.agent = MagicMock()
-            mock_writer.return_value = mock_writer_agent
-
-            mock_graph = MagicMock()
-            mock_create_graph.return_value = mock_graph
-
-            graph = await orchestrator._build_graph("iterative")
-            assert graph == mock_graph
-
-    @pytest.mark.asyncio
-    async def test_build_graph_deep(self):
-        """Test building deep graph."""
-        orchestrator = GraphOrchestrator(mode="deep", use_graph=True)
-
-        with (
-            patch("src.orchestrator.graph_orchestrator.create_planner_agent") as mock_planner,
-            patch("src.orchestrator.graph_orchestrator.create_knowledge_gap_agent") as mock_kg,
-            patch("src.orchestrator.graph_orchestrator.create_tool_selector_agent") as mock_ts,
-            patch("src.orchestrator.graph_orchestrator.create_thinking_agent") as mock_thinking,
-            patch("src.orchestrator.graph_orchestrator.create_writer_agent") as mock_writer,
-            patch(
-                "src.orchestrator.graph_orchestrator.create_long_writer_agent"
-            ) as mock_long_writer,
-            patch("src.orchestrator.graph_orchestrator.create_deep_graph") as mock_create_graph,
-        ):
-            # Setup all mocks
-            for mock_func in [
-                mock_planner,
-                mock_kg,
-                mock_ts,
-                mock_thinking,
-                mock_writer,
-                mock_long_writer,
-            ]:
-                mock_agent = MagicMock()
-                mock_agent.agent = MagicMock()
-                mock_func.return_value = mock_agent
-
-            mock_graph = MagicMock()
-            mock_create_graph.return_value = mock_graph
-
-            graph = await orchestrator._build_graph("deep")
-            assert graph == mock_graph
-
-
-class TestCreateGraphOrchestrator:
-    """Tests for create_graph_orchestrator factory function."""
-
-    def test_create_with_defaults(self):
-        """Test creating orchestrator with defaults."""
-        orchestrator = create_graph_orchestrator()
-        assert isinstance(orchestrator, GraphOrchestrator)
-        assert orchestrator.mode == "auto"
-        assert orchestrator.max_iterations == 5
-        assert orchestrator.max_time_minutes == 10
-
-    def test_create_with_custom_params(self):
-        """Test creating orchestrator with custom parameters."""
-        orchestrator = create_graph_orchestrator(
-            mode="deep",
-            max_iterations=10,
-            max_time_minutes=20,
-            use_graph=False,
-        )
-        assert orchestrator.mode == "deep"
-        assert orchestrator.max_iterations == 10
-        assert orchestrator.max_time_minutes == 20
-        assert orchestrator.use_graph is False
diff --git a/tests/unit/orchestrator/test_planner_agent.py b/tests/unit/orchestrator/test_planner_agent.py
deleted file mode 100644
index 9d479e7a4af0bf3866b500d6468e07897d275fb0..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/test_planner_agent.py
+++ /dev/null
@@ -1,166 +0,0 @@
-"""Unit tests for PlannerAgent."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.orchestrator.planner_agent import PlannerAgent, create_planner_agent
-from src.utils.models import ReportPlan, ReportPlanSection
-
-
-class TestPlannerAgent:
-    """Tests for PlannerAgent."""
-
-    @pytest.fixture
-    def mock_model(self):
-        """Create a mock Pydantic AI model."""
-        return MagicMock()
-
-    @pytest.fixture
-    def mock_agent_run_result(self):
-        """Create a mock agent run result."""
-        mock_result = MagicMock()
-        mock_result.output = ReportPlan(
-            background_context="Python is a programming language.",
-            report_outline=[
-                ReportPlanSection(
-                    title="Introduction",
-                    key_question="What is Python?",
-                ),
-                ReportPlanSection(
-                    title="Features",
-                    key_question="What are Python's main features?",
-                ),
-            ],
-            report_title="Python Programming Language Overview",
-        )
-        return mock_result
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_creates_report_plan(self, mock_model, mock_agent_run_result):
-        """PlannerAgent should create a valid ReportPlan."""
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            mock_agent = AsyncMock()
-            mock_agent.run = AsyncMock(return_value=mock_agent_run_result)
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = mock_agent
-
-                planner = PlannerAgent(model=mock_model)
-                planner.agent = mock_agent
-
-                result = await planner.run("What is Python?")
-
-                assert isinstance(result, ReportPlan)
-                assert result.report_title == "Python Programming Language Overview"
-                assert len(result.report_outline) == 2
-                assert result.report_outline[0].title == "Introduction"
-                assert result.report_outline[0].key_question == "What is Python?"
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_handles_empty_outline(self, mock_model):
-        """PlannerAgent should return fallback plan when outline is empty."""
-        mock_result = MagicMock()
-        mock_result.output = ReportPlan(
-            background_context="Some context",
-            report_outline=[],  # Empty outline
-            report_title="Test Report",
-        )
-
-        mock_agent = AsyncMock()
-        mock_agent.run = AsyncMock(return_value=mock_result)
-
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = mock_agent
-
-                planner = PlannerAgent(model=mock_model)
-                planner.agent = mock_agent
-
-                result = await planner.run("Test query")
-
-                # Should return fallback plan
-                assert isinstance(result, ReportPlan)
-                assert len(result.report_outline) > 0
-                assert "Overview" in result.report_outline[0].title
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_handles_llm_failure(self, mock_model):
-        """PlannerAgent should return fallback plan on LLM failure."""
-        mock_agent = AsyncMock()
-        mock_agent.run = AsyncMock(side_effect=Exception("API Error"))
-
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = mock_agent
-
-                planner = PlannerAgent(model=mock_model)
-                planner.agent = mock_agent
-
-                result = await planner.run("Test query")
-
-                # Should return fallback plan
-                assert isinstance(result, ReportPlan)
-                assert len(result.report_outline) > 0
-                # Fallback plan has title "Research Findings" and empty background_context
-                assert result.report_outline[0].title == "Research Findings"
-                assert result.background_context == ""
-
-    @pytest.mark.asyncio
-    async def test_planner_agent_uses_tools(self, mock_model, mock_agent_run_result):
-        """PlannerAgent should use web_search and crawl_website tools."""
-        mock_agent = AsyncMock()
-        mock_agent.run = AsyncMock(return_value=mock_agent_run_result)
-
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = mock_agent
-
-                planner = PlannerAgent(model=mock_model)
-                planner.agent = mock_agent
-
-                await planner.run("What is Python?")
-
-                # Verify agent was initialized with tools
-                mock_agent_class.assert_called_once()
-                call_kwargs = mock_agent_class.call_args[1]
-                assert "tools" in call_kwargs
-                assert len(call_kwargs["tools"]) == 2  # web_search and crawl_website
-
-    @pytest.mark.asyncio
-    async def test_create_planner_agent_factory(self, mock_model):
-        """create_planner_agent should create a PlannerAgent instance."""
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = AsyncMock()
-
-                planner = create_planner_agent(model=mock_model)
-
-                assert isinstance(planner, PlannerAgent)
-                assert planner.model == mock_model
-
-    @pytest.mark.asyncio
-    async def test_create_planner_agent_uses_default_model(self):
-        """create_planner_agent should use default model when None provided."""
-        mock_model = MagicMock()
-
-        with patch("src.orchestrator.planner_agent.get_model") as mock_get_model:
-            mock_get_model.return_value = mock_model
-
-            with patch("src.orchestrator.planner_agent.Agent") as mock_agent_class:
-                mock_agent_class.return_value = AsyncMock()
-
-                planner = create_planner_agent()
-
-                assert isinstance(planner, PlannerAgent)
-                mock_get_model.assert_called_once()
diff --git a/tests/unit/orchestrator/test_research_flow.py b/tests/unit/orchestrator/test_research_flow.py
deleted file mode 100644
index 2691ec15f9cfb7f465be33781b4d0fd009cbf0c0..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/test_research_flow.py
+++ /dev/null
@@ -1,315 +0,0 @@
-"""Unit tests for ResearchFlow classes."""
-
-from unittest.mock import AsyncMock, patch
-
-import pytest
-
-from src.orchestrator.research_flow import DeepResearchFlow, IterativeResearchFlow
-from src.utils.models import (
-    AgentSelectionPlan,
-    AgentTask,
-    KnowledgeGapOutput,
-    ReportPlan,
-    ReportPlanSection,
-    ToolAgentOutput,
-)
-
-
-class TestIterativeResearchFlow:
-    """Tests for IterativeResearchFlow."""
-
-    @pytest.fixture
-    def mock_agents(self):
-        """Create mock agents for the flow."""
-        return {
-            "knowledge_gap": AsyncMock(),
-            "tool_selector": AsyncMock(),
-            "thinking": AsyncMock(),
-            "writer": AsyncMock(),
-        }
-
-    @pytest.fixture
-    def flow(self, mock_agents):
-        """Create an IterativeResearchFlow with mocked agents."""
-        with (
-            patch("src.orchestrator.research_flow.create_knowledge_gap_agent") as mock_kg,
-            patch("src.orchestrator.research_flow.create_tool_selector_agent") as mock_ts,
-            patch("src.orchestrator.research_flow.create_thinking_agent") as mock_thinking,
-            patch("src.orchestrator.research_flow.create_writer_agent") as mock_writer,
-            patch("src.orchestrator.research_flow.execute_tool_tasks") as mock_execute,
-        ):
-            mock_kg.return_value = mock_agents["knowledge_gap"]
-            mock_ts.return_value = mock_agents["tool_selector"]
-            mock_thinking.return_value = mock_agents["thinking"]
-            mock_writer.return_value = mock_agents["writer"]
-            mock_execute.return_value = {
-                "task_1": ToolAgentOutput(output="Finding 1", sources=["url1"]),
-            }
-
-            yield IterativeResearchFlow(max_iterations=2, max_time_minutes=5)
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_completes_when_research_complete(self, flow, mock_agents):
-        """IterativeResearchFlow should complete when research is marked complete."""
-        # Mock knowledge gap agent to return complete
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=True,
-                outstanding_gaps=[],
-            )
-        )
-
-        # Mock thinking agent
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Initial thoughts")
-
-        # Mock writer agent
-        mock_agents["writer"].write_report = AsyncMock(
-            return_value="# Final Report\n\nContent here."
-        )
-
-        result = await flow.run("Test query")
-
-        assert isinstance(result, str)
-        assert "Final Report" in result
-        assert flow.iteration == 1  # Should complete after first iteration
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_loops_when_research_incomplete(self, flow, mock_agents):
-        """IterativeResearchFlow should loop when research is incomplete."""
-        # Mock knowledge gap agent to return incomplete, then complete
-        call_count = {"count": 0}
-
-        def mock_evaluate(*args, **kwargs):
-            call_count["count"] += 1
-            if call_count["count"] == 1:
-                return KnowledgeGapOutput(
-                    research_complete=False,
-                    outstanding_gaps=["Need more info"],
-                )
-            return KnowledgeGapOutput(
-                research_complete=True,
-                outstanding_gaps=[],
-            )
-
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(side_effect=mock_evaluate)
-
-        # Mock thinking agent
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-
-        # Mock tool selector
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Need more info",
-                        agent="WebSearchAgent",
-                        query="test query",
-                    )
-                ]
-            )
-        )
-
-        # Mock writer
-        mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nContent")
-
-        result = await flow.run("Test query")
-
-        assert isinstance(result, str)
-        assert flow.iteration >= 1
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_respects_max_iterations(self, flow, mock_agents):
-        """IterativeResearchFlow should stop at max_iterations."""
-        # Always return incomplete
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=["Gap 1"],
-            )
-        )
-
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Gap 1",
-                        agent="WebSearchAgent",
-                        query="test",
-                    )
-                ]
-            )
-        )
-
-        mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nContent")
-
-        await flow.run("Test query")
-
-        # Should stop at max_iterations (2)
-        assert flow.iteration <= flow.max_iterations
-
-    @pytest.mark.asyncio
-    async def test_iterative_flow_handles_tool_execution_error(self, flow, mock_agents):
-        """IterativeResearchFlow should handle tool execution errors gracefully."""
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=["Gap 1"],
-            )
-        )
-
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Gap 1",
-                        agent="WebSearchAgent",
-                        query="test",
-                    )
-                ]
-            )
-        )
-
-        # Mock tool execution to fail
-        with patch("src.orchestrator.research_flow.execute_tool_tasks") as mock_execute:
-            mock_execute.side_effect = Exception("Tool execution failed")
-
-            mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nContent")
-
-            # Should not raise, should complete with report
-            result = await flow.run("Test query")
-            assert isinstance(result, str)
-
-
-class TestDeepResearchFlow:
-    """Tests for DeepResearchFlow."""
-
-    @pytest.fixture
-    def mock_agents(self):
-        """Create mock agents for the flow."""
-        return {
-            "planner": AsyncMock(),
-            "long_writer": AsyncMock(),
-            "proofreader": AsyncMock(),
-        }
-
-    @pytest.fixture
-    def flow(self, mock_agents):
-        """Create a DeepResearchFlow with mocked agents."""
-        with (
-            patch("src.orchestrator.research_flow.create_planner_agent") as mock_planner,
-            patch("src.orchestrator.research_flow.create_long_writer_agent") as mock_long_writer,
-            patch("src.orchestrator.research_flow.create_proofreader_agent") as mock_proofreader,
-        ):
-            mock_planner.return_value = mock_agents["planner"]
-            mock_long_writer.return_value = mock_agents["long_writer"]
-            mock_proofreader.return_value = mock_agents["proofreader"]
-
-            yield DeepResearchFlow(max_iterations=2, max_time_minutes=5)
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_creates_report_plan(self, flow, mock_agents):
-        """DeepResearchFlow should create a report plan."""
-        mock_plan = ReportPlan(
-            background_context="Context",
-            report_outline=[
-                ReportPlanSection(title="Section 1", key_question="Question 1?"),
-                ReportPlanSection(title="Section 2", key_question="Question 2?"),
-            ],
-            report_title="Test Report",
-        )
-
-        mock_agents["planner"].run = AsyncMock(return_value=mock_plan)
-
-        # Mock iterative flow results
-        with patch("src.orchestrator.research_flow.IterativeResearchFlow") as mock_iterative:
-            mock_iterative_instance = AsyncMock()
-            mock_iterative_instance.run = AsyncMock(
-                side_effect=["Section 1 content", "Section 2 content"]
-            )
-            mock_iterative.return_value = mock_iterative_instance
-
-            mock_agents["long_writer"].write_report = AsyncMock(
-                return_value="# Final Report\n\nContent"
-            )
-
-            result = await flow.run("Test query")
-
-            assert isinstance(result, str)
-            assert "Final Report" in result
-            mock_agents["planner"].run.assert_called_once_with("Test query")
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_runs_parallel_research_loops(self, flow, mock_agents):
-        """DeepResearchFlow should run parallel research loops for each section."""
-        mock_plan = ReportPlan(
-            background_context="Context",
-            report_outline=[
-                ReportPlanSection(title="Section 1", key_question="Q1?"),
-                ReportPlanSection(title="Section 2", key_question="Q2?"),
-                ReportPlanSection(title="Section 3", key_question="Q3?"),
-            ],
-            report_title="Test Report",
-        )
-
-        mock_agents["planner"].run = AsyncMock(return_value=mock_plan)
-
-        # Track calls to iterative flow
-        iterative_calls = []
-
-        def create_iterative_flow(*args, **kwargs):
-            flow_instance = AsyncMock()
-            flow_instance.run = AsyncMock(
-                side_effect=lambda query, **kw: iterative_calls.append(query)
-                or f"Content for {query}"
-            )
-            return flow_instance
-
-        with patch(
-            "src.orchestrator.research_flow.IterativeResearchFlow",
-            side_effect=create_iterative_flow,
-        ):
-            mock_agents["long_writer"].write_report = AsyncMock(
-                return_value="# Final Report\n\nContent"
-            )
-
-            await flow.run("Test query")
-
-            # Should have called iterative flow for each section
-            assert len(iterative_calls) == 3
-            assert "Q1?" in iterative_calls
-            assert "Q2?" in iterative_calls
-            assert "Q3?" in iterative_calls
-
-    @pytest.mark.asyncio
-    async def test_deep_flow_uses_proofreader_when_specified(self, flow, mock_agents):
-        """DeepResearchFlow should use proofreader when use_long_writer=False."""
-        flow.use_long_writer = False
-
-        mock_plan = ReportPlan(
-            background_context="Context",
-            report_outline=[
-                ReportPlanSection(title="Section 1", key_question="Q1?"),
-            ],
-            report_title="Test Report",
-        )
-
-        mock_agents["planner"].run = AsyncMock(return_value=mock_plan)
-
-        with patch("src.orchestrator.research_flow.IterativeResearchFlow") as mock_iterative:
-            mock_iterative_instance = AsyncMock()
-            mock_iterative_instance.run = AsyncMock(return_value="Section content")
-            mock_iterative.return_value = mock_iterative_instance
-
-            mock_agents["proofreader"].proofread = AsyncMock(
-                return_value="# Final Report\n\nContent"
-            )
-
-            result = await flow.run("Test query")
-
-            assert isinstance(result, str)
-            mock_agents["proofreader"].proofread.assert_called_once()
-            mock_agents["long_writer"].write_report.assert_not_called()
diff --git a/tests/unit/orchestrator/test_research_flow_phase7.py b/tests/unit/orchestrator/test_research_flow_phase7.py
deleted file mode 100644
index 56a28b54ec118e37904ddedb115f88f870df67bb..0000000000000000000000000000000000000000
--- a/tests/unit/orchestrator/test_research_flow_phase7.py
+++ /dev/null
@@ -1,357 +0,0 @@
-"""Unit tests for Phase 7: Judge integration in iterative research flow."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.orchestrator.research_flow import IterativeResearchFlow
-from src.utils.models import (
-    AgentSelectionPlan,
-    AgentTask,
-    AssessmentDetails,
-    JudgeAssessment,
-    KnowledgeGapOutput,
-    ToolAgentOutput,
-)
-
-
-@pytest.fixture
-def mock_judge_handler():
-    """Create a mock judge handler."""
-    judge = MagicMock()
-    judge.assess = AsyncMock()
-    return judge
-
-
-def create_judge_assessment(
-    sufficient: bool,
-    confidence: float,
-    recommendation: str,
-    reasoning: str,
-) -> JudgeAssessment:
-    """Helper to create a valid JudgeAssessment."""
-    return JudgeAssessment(
-        details=AssessmentDetails(
-            mechanism_score=5,
-            mechanism_reasoning="Test mechanism reasoning that is long enough",
-            clinical_evidence_score=5,
-            clinical_reasoning="Test clinical reasoning that is long enough",
-            drug_candidates=[],
-            key_findings=[],
-        ),
-        sufficient=sufficient,
-        confidence=confidence,
-        recommendation=recommendation,
-        reasoning=reasoning,
-    )
-
-
-@pytest.fixture
-def mock_agents():
-    """Create mock agents for the flow."""
-    return {
-        "knowledge_gap": AsyncMock(),
-        "tool_selector": AsyncMock(),
-        "thinking": AsyncMock(),
-        "writer": AsyncMock(),
-    }
-
-
-@pytest.fixture
-def flow_with_judge(mock_agents, mock_judge_handler):
-    """Create an IterativeResearchFlow with mocked agents and judge."""
-    with (
-        patch("src.orchestrator.research_flow.create_knowledge_gap_agent") as mock_kg,
-        patch("src.orchestrator.research_flow.create_tool_selector_agent") as mock_ts,
-        patch("src.orchestrator.research_flow.create_thinking_agent") as mock_thinking,
-        patch("src.orchestrator.research_flow.create_writer_agent") as mock_writer,
-        patch("src.orchestrator.research_flow.create_judge_handler") as mock_judge_factory,
-        patch("src.orchestrator.research_flow.execute_tool_tasks") as mock_execute,
-        patch("src.orchestrator.research_flow.get_workflow_state") as mock_state,
-    ):
-        mock_kg.return_value = mock_agents["knowledge_gap"]
-        mock_ts.return_value = mock_agents["tool_selector"]
-        mock_thinking.return_value = mock_agents["thinking"]
-        mock_writer.return_value = mock_agents["writer"]
-        mock_judge_factory.return_value = mock_judge_handler
-        mock_execute.return_value = {
-            "task_1": ToolAgentOutput(output="Finding 1", sources=["url1"]),
-        }
-
-        # Mock workflow state
-        mock_state_obj = MagicMock()
-        mock_state_obj.evidence = []
-        mock_state_obj.add_evidence = MagicMock(return_value=1)
-        mock_state.return_value = mock_state_obj
-
-        return IterativeResearchFlow(max_iterations=2, max_time_minutes=5)
-
-
-@pytest.mark.unit
-@pytest.mark.asyncio
-class TestJudgeIntegration:
-    """Tests for judge integration in iterative research flow."""
-
-    async def test_judge_called_after_tool_execution(
-        self, flow_with_judge, mock_agents, mock_judge_handler
-    ):
-        """Judge should be called after tool execution."""
-        # Mock knowledge gap agent to return incomplete
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=["Need more info"],
-            )
-        )
-
-        # Mock thinking agent
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Initial thoughts")
-
-        # Mock tool selector
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Need more info",
-                        agent="WebSearchAgent",
-                        query="test query",
-                    )
-                ]
-            )
-        )
-
-        # Mock judge to return sufficient
-        mock_judge_handler.assess = AsyncMock(
-            return_value=create_judge_assessment(
-                sufficient=True,
-                confidence=0.9,
-                recommendation="synthesize",
-                reasoning="Evidence is sufficient to provide a comprehensive answer.",
-            )
-        )
-
-        # Mock writer
-        mock_agents["writer"].write_report = AsyncMock(
-            return_value="# Final Report\n\nContent here."
-        )
-
-        result = await flow_with_judge.run("Test query")
-
-        # Verify judge was called
-        assert mock_judge_handler.assess.called
-        assert isinstance(result, str)
-        assert "Final Report" in result
-
-    async def test_loop_completes_when_judge_says_sufficient(
-        self, flow_with_judge, mock_agents, mock_judge_handler
-    ):
-        """Loop should complete when judge says evidence is sufficient."""
-        # Mock knowledge gap to return incomplete
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=["Need more info"],
-            )
-        )
-
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Need more info",
-                        agent="WebSearchAgent",
-                        query="test",
-                    )
-                ]
-            )
-        )
-
-        # Judge says sufficient
-        mock_judge_handler.assess = AsyncMock(
-            return_value=create_judge_assessment(
-                sufficient=True,
-                confidence=0.95,
-                recommendation="synthesize",
-                reasoning="Enough evidence has been collected to synthesize a comprehensive answer.",
-            )
-        )
-
-        mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nDone.")
-
-        result = await flow_with_judge.run("Test query")
-
-        # Should complete after judge says sufficient
-        assert flow_with_judge.should_continue is False
-        assert mock_judge_handler.assess.called
-        assert isinstance(result, str)
-
-    async def test_loop_continues_when_judge_says_insufficient(
-        self, flow_with_judge, mock_agents, mock_judge_handler
-    ):
-        """Loop should continue when judge says evidence is insufficient."""
-        call_count = {"kg": 0, "judge": 0}
-
-        def mock_kg_evaluate(*args, **kwargs):
-            call_count["kg"] += 1
-            if call_count["kg"] == 1:
-                return KnowledgeGapOutput(
-                    research_complete=False,
-                    outstanding_gaps=["Need more info"],
-                )
-            # Second call: complete
-            return KnowledgeGapOutput(
-                research_complete=True,
-                outstanding_gaps=[],
-            )
-
-        def mock_judge_assess(*args, **kwargs):
-            call_count["judge"] += 1
-            # First call: insufficient
-            if call_count["judge"] == 1:
-                return create_judge_assessment(
-                    sufficient=False,
-                    confidence=0.5,
-                    recommendation="continue",
-                    reasoning="Need more evidence to provide a comprehensive answer.",
-                )
-            # Second call: sufficient (but won't be reached due to max_iterations)
-            return create_judge_assessment(
-                sufficient=True,
-                confidence=0.9,
-                recommendation="synthesize",
-                reasoning="Enough evidence has now been collected to proceed.",
-            )
-
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(side_effect=mock_kg_evaluate)
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Need more info",
-                        agent="WebSearchAgent",
-                        query="test",
-                    )
-                ]
-            )
-        )
-        mock_judge_handler.assess = AsyncMock(side_effect=mock_judge_assess)
-        mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nDone.")
-
-        result = await flow_with_judge.run("Test query")
-
-        # Judge should be called
-        assert mock_judge_handler.assess.called
-        # Should eventually complete
-        assert isinstance(result, str)
-
-    async def test_judge_receives_evidence_from_state(
-        self, flow_with_judge, mock_agents, mock_judge_handler
-    ):
-        """Judge should receive evidence from workflow state."""
-        from src.utils.models import Citation, Evidence
-
-        # Create mock evidence in state
-        mock_evidence = [
-            Evidence(
-                content="Test evidence content",
-                citation=Citation(
-                    source="rag",  # Use valid SourceName
-                    title="Test Title",
-                    url="https://example.com",
-                    date="2024-01-01",
-                    authors=[],
-                ),
-                relevance=0.8,
-            )
-        ]
-
-        # Mock state to return evidence
-        from unittest.mock import patch
-
-        with patch("src.orchestrator.research_flow.get_workflow_state") as mock_state:
-            mock_state_obj = MagicMock()
-            mock_state_obj.evidence = mock_evidence
-            mock_state_obj.add_evidence = MagicMock(return_value=1)
-            mock_state.return_value = mock_state_obj
-
-            mock_agents["knowledge_gap"].evaluate = AsyncMock(
-                return_value=KnowledgeGapOutput(
-                    research_complete=False,
-                    outstanding_gaps=["Need info"],
-                )
-            )
-            mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-            mock_agents["tool_selector"].select_tools = AsyncMock(
-                return_value=AgentSelectionPlan(
-                    tasks=[
-                        AgentTask(
-                            gap="Need info",
-                            agent="WebSearchAgent",
-                            query="test",
-                        )
-                    ]
-                )
-            )
-            mock_judge_handler.assess = AsyncMock(
-                return_value=create_judge_assessment(
-                    sufficient=True,
-                    confidence=0.9,
-                    recommendation="synthesize",
-                    reasoning="Good evidence has been collected to answer the query.",
-                )
-            )
-            mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nDone.")
-
-            result = await flow_with_judge.run("Test query")
-
-            # Verify judge was called with evidence
-            assert mock_judge_handler.assess.called
-            call_args = mock_judge_handler.assess.call_args
-            assert call_args[0][0] == "Test query"  # query
-            assert len(call_args[0][1]) >= 0  # evidence list
-            assert isinstance(result, str)
-
-    async def test_token_tracking_for_judge_call(
-        self, flow_with_judge, mock_agents, mock_judge_handler
-    ):
-        """Token tracking should work for judge calls."""
-        mock_agents["knowledge_gap"].evaluate = AsyncMock(
-            return_value=KnowledgeGapOutput(
-                research_complete=False,
-                outstanding_gaps=["Need info"],
-            )
-        )
-        mock_agents["thinking"].generate_observations = AsyncMock(return_value="Thoughts")
-        mock_agents["tool_selector"].select_tools = AsyncMock(
-            return_value=AgentSelectionPlan(
-                tasks=[
-                    AgentTask(
-                        gap="Need info",
-                        agent="WebSearchAgent",
-                        query="test",
-                    )
-                ]
-            )
-        )
-        mock_judge_handler.assess = AsyncMock(
-            return_value=create_judge_assessment(
-                sufficient=True,
-                confidence=0.9,
-                recommendation="synthesize",
-                reasoning="Evidence is sufficient to provide a comprehensive answer.",
-            )
-        )
-        mock_agents["writer"].write_report = AsyncMock(return_value="# Report\n\nDone.")
-
-        await flow_with_judge.run("Test query")
-
-        # Check that tokens were tracked for the iteration
-        iteration_tokens = flow_with_judge.budget_tracker.get_iteration_tokens(
-            flow_with_judge.loop_id, 1
-        )
-        # Should have tracked tokens (may be 0 if estimation is off, but method should work)
-        assert isinstance(iteration_tokens, int)
-        assert iteration_tokens >= 0
diff --git a/tests/unit/services/test_embeddings.py b/tests/unit/services/test_embeddings.py
deleted file mode 100644
index aaa0c99ef7d90f157f0888edddaf06224d9e42bb..0000000000000000000000000000000000000000
--- a/tests/unit/services/test_embeddings.py
+++ /dev/null
@@ -1,156 +0,0 @@
-"""Unit tests for EmbeddingService."""
-
-from unittest.mock import patch
-
-import numpy as np
-import pytest
-
-# Skip if embeddings dependencies are not installed
-# Handle Windows-specific scipy import issues and PyTorch C extensions issues
-try:
-    pytest.importorskip("chromadb")
-    pytest.importorskip("sentence_transformers", exc_type=ImportError)
-except (OSError, ImportError):
-    # On Windows, scipy import can fail with OSError during collection
-    # PyTorch C extensions can also fail to load
-    # Skip the entire test module in this case
-    pytest.skip(
-        "Embeddings dependencies not available (scipy/PyTorch import issue)", allow_module_level=True
-    )
-
-from src.services.embeddings import EmbeddingService
-
-
-@pytest.mark.local_embeddings
-class TestEmbeddingService:
-    @pytest.fixture
-    def mock_sentence_transformer(self):
-        with patch("src.services.embeddings.SentenceTransformer") as mock_st_class:
-            mock_model = mock_st_class.return_value
-            # Mock encode to return a numpy array
-            mock_model.encode.return_value = np.array([0.1, 0.2, 0.3])
-            yield mock_model
-
-    @pytest.fixture
-    def mock_chroma_client(self):
-        with patch("src.services.embeddings.chromadb.Client") as mock_client_class:
-            mock_client = mock_client_class.return_value
-            mock_collection = mock_client.create_collection.return_value
-            # Mock query return structure
-            mock_collection.query.return_value = {
-                "ids": [["id1"]],
-                "documents": [["doc1"]],
-                "metadatas": [[{"source": "pubmed"}]],
-                "distances": [[0.1]],
-            }
-            yield mock_client
-
-    @pytest.mark.asyncio
-    async def test_embed_returns_vector(self, mock_sentence_transformer, mock_chroma_client):
-        """Embedding should return a float vector (async check)."""
-        service = EmbeddingService()
-        embedding = await service.embed("metformin diabetes")
-
-        assert isinstance(embedding, list)
-        assert len(embedding) == 3  # noqa: PLR2004
-        assert all(isinstance(x, float) for x in embedding)
-        # Ensure it ran in executor (mock encode called)
-        mock_sentence_transformer.encode.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_batch_embed_efficient(self, mock_sentence_transformer, mock_chroma_client):
-        """Batch embedding should call encode with list."""
-        # Setup mock for batch return (list of arrays)
-        mock_sentence_transformer.encode.return_value = np.array([[0.1, 0.2], [0.3, 0.4]])
-
-        service = EmbeddingService()
-        texts = ["text one", "text two"]
-
-        batch_results = await service.embed_batch(texts)
-
-        assert len(batch_results) == 2  # noqa: PLR2004
-        assert isinstance(batch_results[0], list)
-        mock_sentence_transformer.encode.assert_called_with(texts)
-
-    @pytest.mark.asyncio
-    async def test_add_and_search(self, mock_sentence_transformer, mock_chroma_client):
-        """Should be able to add evidence and search for similar."""
-        service = EmbeddingService()
-        await service.add_evidence(
-            evidence_id="test1",
-            content="Metformin activates AMPK pathway",
-            metadata={"source": "pubmed"},
-        )
-
-        # Verify add was called
-        mock_collection = mock_chroma_client.create_collection.return_value
-        mock_collection.add.assert_called_once()
-
-        results = await service.search_similar("AMPK activation drugs", n_results=1)
-
-        # Verify query was called
-        mock_collection.query.assert_called_once()
-        assert len(results) == 1
-        assert results[0]["id"] == "id1"
-
-    @pytest.mark.asyncio
-    async def test_search_similar_empty_collection(
-        self, mock_sentence_transformer, mock_chroma_client
-    ):
-        """Search on empty collection should return empty list, not error."""
-        mock_collection = mock_chroma_client.create_collection.return_value
-        mock_collection.query.return_value = {
-            "ids": [[]],
-            "documents": [[]],
-            "metadatas": [[]],
-            "distances": [[]],
-        }
-
-        service = EmbeddingService()
-        results = await service.search_similar("anything", n_results=5)
-        assert results == []
-
-    @pytest.mark.asyncio
-    async def test_deduplicate(self, mock_sentence_transformer, mock_chroma_client):
-        """Deduplicate should remove similar items."""
-        from src.utils.models import Citation, Evidence
-
-        service = EmbeddingService()
-
-        # Mock search to return a match for the first item (duplicate)
-        # and no match for the second (unique)
-        mock_collection = mock_chroma_client.create_collection.return_value
-
-        # First call returns match (distance 0.05 < threshold)
-        # Second call returns no match or high distance
-        mock_collection.query.side_effect = [
-            {
-                "ids": [["existing_id"]],
-                "documents": [["doc"]],
-                "metadatas": [[{}]],
-                "distances": [[0.05]],  # Very similar
-            },
-            {
-                "ids": [[]],  # No match
-                "documents": [[]],
-                "metadatas": [[]],
-                "distances": [[]],
-            },
-        ]
-
-        evidence = [
-            Evidence(
-                content="Duplicate content",
-                citation=Citation(source="pubmed", url="u1", title="t1", date="2024"),
-            ),
-            Evidence(
-                content="Unique content",
-                citation=Citation(source="pubmed", url="u2", title="t2", date="2024"),
-            ),
-        ]
-
-        unique = await service.deduplicate(evidence, threshold=0.9)
-
-        # Only the unique one should remain
-        assert len(unique) == 1
-        assert unique[0].citation.url == "u2"
diff --git a/tests/unit/services/test_statistical_analyzer.py b/tests/unit/services/test_statistical_analyzer.py
deleted file mode 100644
index d5b2e39aad7c8e29a3f72d9d8b90c53e7294b4cd..0000000000000000000000000000000000000000
--- a/tests/unit/services/test_statistical_analyzer.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"Unit tests for StatisticalAnalyzer service."
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.services.statistical_analyzer import (
-    AnalysisResult,
-    StatisticalAnalyzer,
-    get_statistical_analyzer,
-)
-from src.utils.models import Citation, Evidence
-
-
-@pytest.fixture
-def sample_evidence() -> list[Evidence]:
-    """Sample evidence for testing."""
-    return [
-        Evidence(
-            content="Metformin shows effect size of 0.45.",
-            citation=Citation(
-                source="pubmed",
-                title="Metformin Study",
-                url="https://pubmed.ncbi.nlm.nih.gov/12345/",
-                date="2024-01-15",
-                authors=["Smith J"],
-            ),
-            relevance=0.9,
-        )
-    ]
-
-
-class TestStatisticalAnalyzer:
-    """Tests for StatisticalAnalyzer (no agent_framework dependency)."""
-
-    def test_no_agent_framework_import(self) -> None:
-        """StatisticalAnalyzer must NOT import agent_framework."""
-        import src.services.statistical_analyzer as module
-
-        # Check module doesn't import agent_framework
-        with open(module.__file__) as f:
-            source = f.read()
-        assert "from agent_framework" not in source
-        assert "import agent_framework" not in source
-        assert "BaseAgent" not in source
-
-    @pytest.mark.asyncio
-    async def test_analyze_returns_result(self, sample_evidence: list[Evidence]) -> None:
-        """analyze() should return AnalysisResult."""
-        analyzer = StatisticalAnalyzer()
-
-        with (
-            patch.object(analyzer, "_get_agent") as mock_agent,
-            patch.object(analyzer, "_get_code_executor") as mock_executor,
-        ):
-            # Mock LLM
-            mock_agent.return_value.run = AsyncMock(
-                return_value=MagicMock(output="print('SUPPORTED')")
-            )
-
-            # Mock Modal
-            mock_executor.return_value.execute.return_value = {
-                "stdout": "SUPPORTED\np-value: 0.01",
-                "stderr": "",
-                "success": True,
-            }
-
-            result = await analyzer.analyze("test query", sample_evidence)
-
-            assert isinstance(result, AnalysisResult)
-            assert result.verdict == "SUPPORTED"
-
-    def test_singleton(self) -> None:
-        """get_statistical_analyzer should return singleton."""
-        a1 = get_statistical_analyzer()
-        a2 = get_statistical_analyzer()
-        assert a1 is a2
-
-
-class TestAnalysisResult:
-    """Tests for AnalysisResult model."""
-
-    def test_verdict_values(self) -> None:
-        """Verdict should be one of the expected values."""
-        for verdict in ["SUPPORTED", "REFUTED", "INCONCLUSIVE"]:
-            result = AnalysisResult(
-                verdict=verdict,  # type: ignore
-                confidence=0.8,
-                statistical_evidence="test",
-                code_generated="print('test')",
-                execution_output="test",
-            )
-            assert result.verdict == verdict
-
-    def test_confidence_bounds(self) -> None:
-        """Confidence must be 0.0-1.0."""
-        with pytest.raises(ValueError):
-            AnalysisResult(
-                verdict="SUPPORTED",
-                confidence=1.5,  # Invalid
-                statistical_evidence="test",
-                code_generated="test",
-                execution_output="test",
-            )
diff --git a/tests/unit/test_app_oauth.py b/tests/unit/test_app_oauth.py
deleted file mode 100644
index 2a906a92897c86af9a7a11ce94ca85763e3b5510..0000000000000000000000000000000000000000
--- a/tests/unit/test_app_oauth.py
+++ /dev/null
@@ -1,260 +0,0 @@
-"""Unit tests for OAuth-related functions in app.py."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-# Mock gradio and its dependencies before importing app functions
-import sys
-from unittest.mock import MagicMock as Mock
-
-# Create a comprehensive gradio mock
-mock_gradio = Mock()
-mock_gradio.OAuthToken = Mock
-mock_gradio.OAuthProfile = Mock
-mock_gradio.Request = Mock
-mock_gradio.update = Mock(return_value={"choices": [], "value": ""})
-mock_gradio.Blocks = Mock
-mock_gradio.Markdown = Mock
-mock_gradio.LoginButton = Mock
-mock_gradio.Dropdown = Mock
-mock_gradio.Textbox = Mock
-mock_gradio.State = Mock
-
-# Mock gradio.data_classes
-mock_gradio.data_classes = Mock()
-mock_gradio.data_classes.FileData = Mock()
-
-sys.modules["gradio"] = mock_gradio
-sys.modules["gradio.data_classes"] = mock_gradio.data_classes
-
-# Mock other dependencies that might be imported
-sys.modules["neo4j"] = Mock()
-sys.modules["neo4j"].GraphDatabase = Mock()
-
-from src.app import extract_oauth_info, update_model_provider_dropdowns
-
-
-class TestExtractOAuthInfo:
-    """Tests for extract_oauth_info function."""
-
-    def test_extract_from_oauth_token_attribute(self) -> None:
-        """Should extract token from request.oauth_token.token."""
-        mock_request = MagicMock()
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "hf_test_token_123"
-        mock_request.oauth_token = mock_oauth_token
-        mock_request.username = "testuser"
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert token == "hf_test_token_123"
-        assert username == "testuser"
-
-    def test_extract_from_string_oauth_token(self) -> None:
-        """Should extract token when oauth_token is a string."""
-        mock_request = MagicMock()
-        mock_request.oauth_token = "hf_test_token_123"
-        mock_request.username = "testuser"
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert token == "hf_test_token_123"
-        assert username == "testuser"
-
-    def test_extract_from_authorization_header(self) -> None:
-        """Should extract token from Authorization header."""
-        mock_request = MagicMock()
-        mock_request.oauth_token = None
-        mock_request.headers = {"Authorization": "Bearer hf_test_token_123"}
-        mock_request.username = "testuser"
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert token == "hf_test_token_123"
-        assert username == "testuser"
-
-    def test_extract_username_from_oauth_profile(self) -> None:
-        """Should extract username from oauth_profile."""
-        mock_request = MagicMock()
-        mock_request.oauth_token = None
-        mock_request.username = None
-        mock_oauth_profile = MagicMock()
-        mock_oauth_profile.username = "testuser"
-        mock_request.oauth_profile = mock_oauth_profile
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert username == "testuser"
-
-    def test_extract_name_from_oauth_profile(self) -> None:
-        """Should extract name from oauth_profile when username not available."""
-        mock_request = MagicMock()
-        mock_request.oauth_token = None
-        # Ensure username attribute doesn't exist or is explicitly None
-        # Use delattr to remove it, then set oauth_profile
-        if hasattr(mock_request, "username"):
-            delattr(mock_request, "username")
-        mock_oauth_profile = MagicMock()
-        mock_oauth_profile.username = None
-        mock_oauth_profile.name = "Test User"
-        mock_request.oauth_profile = mock_oauth_profile
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert username == "Test User"
-
-    def test_extract_none_request(self) -> None:
-        """Should return None for both when request is None."""
-        token, username = extract_oauth_info(None)
-        
-        assert token is None
-        assert username is None
-
-    def test_extract_no_oauth_info(self) -> None:
-        """Should return None when no OAuth info is available."""
-        mock_request = MagicMock()
-        mock_request.oauth_token = None
-        mock_request.headers = {}
-        mock_request.username = None
-        mock_request.oauth_profile = None
-        
-        token, username = extract_oauth_info(mock_request)
-        
-        assert token is None
-        assert username is None
-
-
-class TestUpdateModelProviderDropdowns:
-    """Tests for update_model_provider_dropdowns function."""
-
-    @pytest.mark.asyncio
-    async def test_update_with_valid_token(self) -> None:
-        """Should update dropdowns with available models and providers."""
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "hf_test_token_123"
-        mock_oauth_profile = MagicMock()
-        
-        mock_validation_result = {
-            "is_valid": True,
-            "has_inference_api_scope": True,
-            "available_models": ["model1", "model2"],
-            "available_providers": ["auto", "nebius"],
-            "username": "testuser",
-        }
-        
-        with patch("src.utils.hf_model_validator.validate_oauth_token", return_value=mock_validation_result) as mock_validate, \
-             patch("src.utils.hf_model_validator.get_available_models", new_callable=AsyncMock) as mock_get_models, \
-             patch("src.utils.hf_model_validator.get_available_providers", new_callable=AsyncMock) as mock_get_providers, \
-             patch("src.app.gr") as mock_gr, \
-             patch("src.app.logger"):
-            mock_get_models.return_value = ["model1", "model2"]
-            mock_get_providers.return_value = ["auto", "nebius"]
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            result = await update_model_provider_dropdowns(mock_oauth_token, mock_oauth_profile)
-            
-            assert len(result) == 3  # model_update, provider_update, status_msg
-            assert "testuser" in result[2]  # Status message should contain username
-            mock_validate.assert_called_once_with("hf_test_token_123")
-
-    @pytest.mark.asyncio
-    async def test_update_with_no_token(self) -> None:
-        """Should return defaults when no token provided."""
-        with patch("src.app.gr") as mock_gr:
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            result = await update_model_provider_dropdowns(None, None)
-            
-            assert len(result) == 3
-            assert "Not authenticated" in result[2]  # Status message
-
-    @pytest.mark.asyncio
-    async def test_update_with_invalid_token(self) -> None:
-        """Should return error message for invalid token."""
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "invalid_token"
-        
-        mock_validation_result = {
-            "is_valid": False,
-            "error": "Invalid token format",
-        }
-        
-        with patch("src.utils.hf_model_validator.validate_oauth_token", return_value=mock_validation_result), \
-             patch("src.app.gr") as mock_gr:
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            result = await update_model_provider_dropdowns(mock_oauth_token, None)
-            
-            assert len(result) == 3
-            assert "Token validation failed" in result[2]
-
-    @pytest.mark.asyncio
-    async def test_update_without_inference_scope(self) -> None:
-        """Should warn when token lacks inference-api scope."""
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "hf_token_without_scope"
-        
-        mock_validation_result = {
-            "is_valid": True,
-            "has_inference_api_scope": False,
-            "available_models": [],
-            "available_providers": ["auto"],
-            "username": "testuser",
-        }
-        
-        with patch("src.utils.hf_model_validator.validate_oauth_token", return_value=mock_validation_result), \
-             patch("src.utils.hf_model_validator.get_available_models", new_callable=AsyncMock) as mock_get_models, \
-             patch("src.utils.hf_model_validator.get_available_providers", new_callable=AsyncMock) as mock_get_providers, \
-             patch("src.app.gr") as mock_gr, \
-             patch("src.app.logger"):
-            mock_get_models.return_value = []
-            mock_get_providers.return_value = ["auto"]
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            result = await update_model_provider_dropdowns(mock_oauth_token, None)
-            
-            assert len(result) == 3
-            assert "inference-api" in result[2] and "scope" in result[2]
-
-    @pytest.mark.asyncio
-    async def test_update_handles_exception(self) -> None:
-        """Should handle exceptions gracefully."""
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "hf_test_token"
-        
-        with patch("src.utils.hf_model_validator.validate_oauth_token", side_effect=Exception("API error")), \
-             patch("src.app.gr") as mock_gr, \
-             patch("src.app.logger"):
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            result = await update_model_provider_dropdowns(mock_oauth_token, None)
-            
-            assert len(result) == 3
-            assert "Failed to load models" in result[2]
-
-    @pytest.mark.asyncio
-    async def test_update_with_string_token(self) -> None:
-        """Should handle string token (edge case)."""
-        # Edge case: oauth_token is already a string
-        with patch("src.utils.hf_model_validator.validate_oauth_token") as mock_validate, \
-             patch("src.utils.hf_model_validator.get_available_models", new_callable=AsyncMock), \
-             patch("src.utils.hf_model_validator.get_available_providers", new_callable=AsyncMock), \
-             patch("src.app.gr") as mock_gr, \
-             patch("src.app.logger"):
-            mock_validation_result = {
-                "is_valid": True,
-                "has_inference_api_scope": True,
-                "available_models": ["model1"],
-                "available_providers": ["auto"],
-                "username": "testuser",
-            }
-            mock_validate.return_value = mock_validation_result
-            mock_gr.update.return_value = {"choices": [], "value": ""}
-            
-            # Pass string directly (shouldn't happen but defensive)
-            result = await update_model_provider_dropdowns("hf_string_token", None)
-            
-            # Should still work (extracts as string)
-            assert len(result) == 3
-
diff --git a/tests/unit/test_app_smoke.py b/tests/unit/test_app_smoke.py
deleted file mode 100644
index 3fb347f9d01e294eb0d36c9b374290ba50b6a0bb..0000000000000000000000000000000000000000
--- a/tests/unit/test_app_smoke.py
+++ /dev/null
@@ -1,50 +0,0 @@
-"""Smoke tests for the Gradio app.
-
-These tests verify the app can start without crashing.
-They catch configuration errors like invalid Gradio parameters
-that wouldn't be caught by unit tests.
-"""
-
-import pytest
-
-
-@pytest.mark.unit
-class TestAppSmoke:
-    """Smoke tests for app initialization."""
-
-    def test_app_creates_demo(self) -> None:
-        """App should create Gradio demo without crashing.
-
-        This catches:
-        - Invalid Gradio component parameters
-        - Import errors
-        - Configuration issues
-        """
-        # Skip if gradio not fully installed (CI may not have all deps)
-        pytest.importorskip("gradio")
-        pytest.importorskip("typer")  # Gradio CLI dependency
-
-        from src.app import create_demo
-
-        demo = create_demo()
-        assert demo is not None
-
-    def test_mcp_tools_importable(self) -> None:
-        """MCP tool functions should be importable.
-
-        Ensures the MCP server can expose these tools.
-        """
-        from src.mcp_tools import (
-            analyze_hypothesis,
-            search_all_sources,
-            search_clinical_trials,
-            search_europepmc,
-            search_pubmed,
-        )
-
-        # Just verify they're callable
-        assert callable(search_pubmed)
-        assert callable(search_clinical_trials)
-        assert callable(search_europepmc)
-        assert callable(search_all_sources)
-        assert callable(analyze_hypothesis)
diff --git a/tests/unit/test_graph_execution.py b/tests/unit/test_graph_execution.py
deleted file mode 100644
index 93f7aa3c4bd86f887a7c79aa87f2dd67baba9ea2..0000000000000000000000000000000000000000
--- a/tests/unit/test_graph_execution.py
+++ /dev/null
@@ -1,105 +0,0 @@
-"""Unit tests for graph execution with handlers."""
-
-from typing import Any
-from unittest.mock import AsyncMock, MagicMock
-
-import pytest
-
-from src.agent_factory.judges import MockJudgeHandler
-from src.orchestrator.graph_orchestrator import GraphOrchestrator
-from src.tools.search_handler import SearchHandler
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.tools.europepmc import EuropePMCTool
-from src.tools.pubmed import PubMedTool
-from src.utils.models import Evidence, JudgeAssessment, SearchResult
-
-
-@pytest.fixture
-def mock_search_handler() -> MagicMock:
-    """Create a mock search handler."""
-    handler = MagicMock(spec=SearchHandler)
-    handler.execute = AsyncMock(
-        return_value=SearchResult(
-            query="test query",
-            evidence=[
-                Evidence(
-                    content="Test evidence",
-                    citation={
-                        "source": "pubmed",
-                        "title": "Test Title",
-                        "url": "https://example.com",
-                        "date": "2024-01-01",
-                        "authors": ["Test Author"],
-                    },
-                    relevance=0.8,
-                )
-            ],
-            sources_searched=["pubmed"],
-            total_found=1,
-        )
-    )
-    return handler
-
-
-@pytest.fixture
-def mock_judge_handler() -> MagicMock:
-    """Create a mock judge handler."""
-    handler = MagicMock(spec=MockJudgeHandler)
-    handler.assess = AsyncMock(
-        return_value=JudgeAssessment(
-            details={
-                "mechanism_score": 7,
-                "mechanism_reasoning": "Good mechanism",
-                "clinical_evidence_score": 6,
-                "clinical_reasoning": "Moderate evidence",
-                "drug_candidates": ["Test Drug"],
-                "key_findings": ["Finding 1"],
-            },
-            sufficient=True,
-            confidence=0.8,
-            recommendation="synthesize",
-            reasoning="Evidence is sufficient",
-        )
-    )
-    return handler
-
-
-@pytest.mark.asyncio
-async def test_execute_tools_uses_search_handler(
-    mock_search_handler: MagicMock, mock_judge_handler: MagicMock
-) -> None:
-    """Test that execute_tools state node uses search_handler.execute()."""
-    orchestrator = GraphOrchestrator(
-        mode="iterative",
-        max_iterations=5,
-        max_time_minutes=10,
-        use_graph=True,
-        search_handler=mock_search_handler,
-        judge_handler=mock_judge_handler,
-    )
-
-    # This test would require full graph execution setup
-    # For now, we verify the handler is stored
-    assert orchestrator.search_handler is not None
-    assert orchestrator.search_handler == mock_search_handler
-
-
-@pytest.mark.asyncio
-async def test_knowledge_gap_uses_judge_handler(
-    mock_search_handler: MagicMock, mock_judge_handler: MagicMock
-) -> None:
-    """Test that knowledge_gap agent node uses judge_handler.assess()."""
-    orchestrator = GraphOrchestrator(
-        mode="iterative",
-        max_iterations=5,
-        max_time_minutes=10,
-        use_graph=True,
-        search_handler=mock_search_handler,
-        judge_handler=mock_judge_handler,
-    )
-
-    # This test would require full graph execution setup
-    # For now, we verify the handler is stored
-    assert orchestrator.judge_handler is not None
-    assert orchestrator.judge_handler == mock_judge_handler
-
diff --git a/tests/unit/test_graph_orchestrator_factory.py b/tests/unit/test_graph_orchestrator_factory.py
deleted file mode 100644
index 63dc4f91bde4a18265054514053ba752c9dd54f8..0000000000000000000000000000000000000000
--- a/tests/unit/test_graph_orchestrator_factory.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""Unit tests for graph orchestrator factory integration."""
-
-from typing import Any
-
-import pytest
-
-from src.agent_factory.judges import MockJudgeHandler
-from src.orchestrator_factory import create_orchestrator
-from src.orchestrator.graph_orchestrator import GraphOrchestrator
-from src.tools.search_handler import SearchHandler
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.tools.europepmc import EuropePMCTool
-from src.tools.pubmed import PubMedTool
-from src.utils.models import OrchestratorConfig
-
-
-class MockSearchHandler:
-    """Mock search handler for testing."""
-
-    async def execute(self, query: str, max_results_per_tool: int = 10) -> Any:
-        """Mock execute method."""
-        from src.utils.models import Evidence, SearchResult
-
-        return SearchResult(
-            query=query,
-            evidence=[],
-            sources_searched=["pubmed"],
-            total_found=0,
-        )
-
-
-def test_create_graph_orchestrator_with_handlers() -> None:
-    """Test that graph orchestrator is created with handlers."""
-    search_handler = SearchHandler(
-        tools=[PubMedTool(), ClinicalTrialsTool(), EuropePMCTool()],
-        timeout=30.0,
-    )
-    judge_handler = MockJudgeHandler()
-    config = OrchestratorConfig(max_iterations=5, max_results_per_tool=10)
-
-    orchestrator = create_orchestrator(
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        config=config,
-        mode="iterative",
-    )
-
-    assert isinstance(orchestrator, GraphOrchestrator)
-    assert orchestrator.search_handler is not None
-    assert orchestrator.judge_handler is not None
-    assert orchestrator.mode == "iterative"
-
-
-def test_create_graph_orchestrator_deep_mode() -> None:
-    """Test that graph orchestrator is created in deep mode."""
-    search_handler = SearchHandler(
-        tools=[PubMedTool(), ClinicalTrialsTool(), EuropePMCTool()],
-        timeout=30.0,
-    )
-    judge_handler = MockJudgeHandler()
-    config = OrchestratorConfig(max_iterations=5, max_results_per_tool=10)
-
-    orchestrator = create_orchestrator(
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        config=config,
-        mode="deep",
-    )
-
-    assert isinstance(orchestrator, GraphOrchestrator)
-    assert orchestrator.mode == "deep"
-
-
-def test_create_graph_orchestrator_auto_mode() -> None:
-    """Test that graph orchestrator is created in auto mode."""
-    search_handler = SearchHandler(
-        tools=[PubMedTool(), ClinicalTrialsTool(), EuropePMCTool()],
-        timeout=30.0,
-    )
-    judge_handler = MockJudgeHandler()
-    config = OrchestratorConfig(max_iterations=5, max_results_per_tool=10)
-
-    orchestrator = create_orchestrator(
-        search_handler=search_handler,
-        judge_handler=judge_handler,
-        config=config,
-        mode="auto",
-    )
-
-    assert isinstance(orchestrator, GraphOrchestrator)
-    assert orchestrator.mode == "auto"
-
diff --git a/tests/unit/test_hierarchical.py b/tests/unit/test_hierarchical.py
deleted file mode 100644
index 9dc044f862f3c255c6e8fd6644f74f24dc61caee..0000000000000000000000000000000000000000
--- a/tests/unit/test_hierarchical.py
+++ /dev/null
@@ -1,40 +0,0 @@
-"""Unit tests for hierarchical orchestration middleware."""
-
-from unittest.mock import AsyncMock
-
-import pytest
-
-from src.middleware.sub_iteration import SubIterationMiddleware
-from src.utils.models import AssessmentDetails, JudgeAssessment
-
-pytestmark = pytest.mark.unit
-
-
-@pytest.mark.asyncio
-async def test_sub_iteration_middleware():
-    team = AsyncMock()
-    team.execute.return_value = "Result"
-
-    judge = AsyncMock()
-    judge.assess.return_value = JudgeAssessment(
-        details=AssessmentDetails(
-            mechanism_score=10,
-            mechanism_reasoning="Good reasoning text here",
-            clinical_evidence_score=10,
-            clinical_reasoning="Good reasoning text here",
-            drug_candidates=[],
-            key_findings=[],
-        ),
-        sufficient=True,
-        confidence=1.0,
-        recommendation="synthesize",
-        next_search_queries=[],
-        reasoning="Good reasoning text here for the overall assessment which must be long enough.",
-    )
-
-    middleware = SubIterationMiddleware(team, judge)
-    result, assessment = await middleware.run("task")
-
-    assert result == "Result"
-    assert assessment.sufficient
-    assert team.execute.call_count == 1
diff --git a/tests/unit/test_magentic_fix.py b/tests/unit/test_magentic_fix.py
deleted file mode 100644
index 4bf5c69f7e83ddce83fba14d0c582b7d7f7dde32..0000000000000000000000000000000000000000
--- a/tests/unit/test_magentic_fix.py
+++ /dev/null
@@ -1,101 +0,0 @@
-"""Tests for Magentic Orchestrator fixes."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-# Skip all tests if agent_framework not installed (optional dep)
-pytest.importorskip("agent_framework")
-from agent_framework import MagenticFinalResultEvent
-
-from src.orchestrator_magentic import MagenticOrchestrator
-
-
-class MockChatMessage:
-    """Simulates the buggy ChatMessage that returns itself as text or has complex content."""
-
-    def __init__(self, content_str: str) -> None:
-        self.content_str = content_str
-        self.role = "assistant"
-
-    @property
-    def text(self) -> "MockChatMessage":
-        # Simulate the bug: .text returns the object itself or a repr string
-        return self
-
-    @property
-    def content(self) -> str:
-        # The fix plan says we should look for .content
-        return self.content_str
-
-    def __repr__(self) -> str:
-        return "<ChatMessage object at 0xMOCK>"
-
-    def __str__(self) -> str:
-        return "<ChatMessage object at 0xMOCK>"
-
-
-@pytest.fixture
-def mock_magentic_requirements():
-    """Mock the API key check so tests run in CI without OPENAI_API_KEY."""
-    with patch("src.orchestrator_magentic.check_magentic_requirements"):
-        yield
-
-
-class TestMagenticFixes:
-    """Tests for the Magentic mode fixes."""
-
-    def test_process_event_extracts_text_correctly(self, mock_magentic_requirements) -> None:
-        """
-        Test that _process_event correctly extracts text from a ChatMessage.
-
-        Verifies fix for bug where .text returns the object itself.
-        """
-        orchestrator = MagenticOrchestrator()
-
-        # Create a mock message that mimics the bug
-        buggy_message = MockChatMessage("Final Report Content")
-        event = MagenticFinalResultEvent(message=buggy_message)  # type: ignore[arg-type]
-
-        # Process the event
-        # We expect the fix to get "Final Report Content" instead of object repr
-        result_event = orchestrator._process_event(event, iteration=1)
-
-        assert result_event is not None
-        assert result_event.type == "complete"
-        assert result_event.message == "Final Report Content"
-
-    def test_max_rounds_configuration(self, mock_magentic_requirements) -> None:
-        """Test that max_rounds is correctly passed to the orchestrator."""
-        orchestrator = MagenticOrchestrator(max_rounds=25)
-        assert orchestrator._max_rounds == 25
-
-        # Also verify it's used in _build_workflow
-        # Mock all the agent creation and chat client factory calls
-        # Patch get_chat_client_for_agent where it's imported and used
-        with (
-            patch("src.orchestrator_magentic.create_search_agent") as mock_search,
-            patch("src.orchestrator_magentic.create_judge_agent") as mock_judge,
-            patch("src.orchestrator_magentic.create_hypothesis_agent") as mock_hypo,
-            patch("src.orchestrator_magentic.create_report_agent") as mock_report,
-            patch("src.orchestrator_magentic.get_chat_client_for_agent") as mock_get_client,
-            patch("src.orchestrator_magentic.MagenticBuilder") as mock_builder,
-        ):
-            # Setup mocks
-            mock_search.return_value = MagicMock()
-            mock_judge.return_value = MagicMock()
-            mock_hypo.return_value = MagicMock()
-            mock_report.return_value = MagicMock()
-            mock_get_client.return_value = MagicMock()
-
-            # Mock the builder chain
-            mock_chain = mock_builder.return_value.participants.return_value
-            mock_chain.with_standard_manager.return_value.build.return_value = MagicMock()
-
-            orchestrator._build_workflow()
-
-            # Check that max_round_count was passed as 25
-            participants_mock = mock_builder.return_value.participants.return_value
-            participants_mock.with_standard_manager.assert_called_once()
-            call_kwargs = participants_mock.with_standard_manager.call_args.kwargs
-            assert call_kwargs["max_round_count"] == 25
diff --git a/tests/unit/test_mcp_tools.py b/tests/unit/test_mcp_tools.py
deleted file mode 100644
index 448a03bdf0df328b2aa4dc409c2be2f63670e7d8..0000000000000000000000000000000000000000
--- a/tests/unit/test_mcp_tools.py
+++ /dev/null
@@ -1,200 +0,0 @@
-"""Unit tests for MCP tool wrappers."""
-
-from unittest.mock import AsyncMock, patch
-
-import pytest
-
-from src.mcp_tools import (
-    search_all_sources,
-    search_clinical_trials,
-    search_europepmc,
-    search_pubmed,
-)
-from src.utils.models import Citation, Evidence
-
-
-@pytest.fixture
-def mock_evidence() -> Evidence:
-    """Sample evidence for testing."""
-    return Evidence(
-        content="Metformin shows neuroprotective effects in preclinical models.",
-        citation=Citation(
-            source="pubmed",
-            title="Metformin and Alzheimer's Disease",
-            url="https://pubmed.ncbi.nlm.nih.gov/12345678/",
-            date="2024-01-15",
-            authors=["Smith J", "Jones M", "Brown K"],
-        ),
-        relevance=0.85,
-    )
-
-
-class TestSearchPubMed:
-    """Tests for search_pubmed MCP tool."""
-
-    @pytest.mark.asyncio
-    async def test_returns_formatted_string(self, mock_evidence: Evidence) -> None:
-        """Should return formatted markdown string."""
-        with patch("src.mcp_tools._pubmed") as mock_tool:
-            mock_tool.search = AsyncMock(return_value=[mock_evidence])
-
-            result = await search_pubmed("metformin alzheimer", 10)
-
-            assert isinstance(result, str)
-            assert "PubMed Results" in result
-            assert "Metformin and Alzheimer's Disease" in result
-            assert "Smith J" in result
-
-    @pytest.mark.asyncio
-    async def test_clamps_max_results(self) -> None:
-        """Should clamp max_results to valid range (1-50)."""
-        with patch("src.mcp_tools._pubmed") as mock_tool:
-            mock_tool.search = AsyncMock(return_value=[])
-
-            # Test lower bound
-            await search_pubmed("test", 0)
-            mock_tool.search.assert_called_with("test", 1)
-
-            # Test upper bound
-            await search_pubmed("test", 100)
-            mock_tool.search.assert_called_with("test", 50)
-
-    @pytest.mark.asyncio
-    async def test_handles_no_results(self) -> None:
-        """Should return appropriate message when no results."""
-        with patch("src.mcp_tools._pubmed") as mock_tool:
-            mock_tool.search = AsyncMock(return_value=[])
-
-            result = await search_pubmed("xyznonexistent", 10)
-
-            assert "No PubMed results found" in result
-
-
-class TestSearchClinicalTrials:
-    """Tests for search_clinical_trials MCP tool."""
-
-    @pytest.mark.asyncio
-    async def test_returns_formatted_string(self, mock_evidence: Evidence) -> None:
-        """Should return formatted markdown string."""
-        mock_evidence.citation.source = "clinicaltrials"  # type: ignore
-
-        with patch("src.mcp_tools._trials") as mock_tool:
-            mock_tool.search = AsyncMock(return_value=[mock_evidence])
-
-            result = await search_clinical_trials("diabetes", 10)
-
-            assert isinstance(result, str)
-            assert "Clinical Trials" in result
-
-
-class TestSearchEuropePMC:
-    """Tests for search_europepmc MCP tool."""
-
-    @pytest.mark.asyncio
-    async def test_returns_formatted_string(self, mock_evidence: Evidence) -> None:
-        """Should return formatted markdown string."""
-        mock_evidence.citation.source = "europepmc"  # type: ignore
-
-        with patch("src.mcp_tools._europepmc") as mock_tool:
-            mock_tool.search = AsyncMock(return_value=[mock_evidence])
-
-            result = await search_europepmc("preprint search", 10)
-
-            assert isinstance(result, str)
-            assert "Europe PMC Results" in result
-
-
-class TestSearchAllSources:
-    """Tests for search_all_sources MCP tool."""
-
-    @pytest.mark.asyncio
-    async def test_combines_all_sources(self, mock_evidence: Evidence) -> None:
-        """Should combine results from all sources."""
-        with (
-            patch("src.mcp_tools.search_pubmed", new_callable=AsyncMock) as mock_pubmed,
-            patch("src.mcp_tools.search_clinical_trials", new_callable=AsyncMock) as mock_trials,
-            patch("src.mcp_tools.search_europepmc", new_callable=AsyncMock) as mock_europepmc,
-        ):
-            mock_pubmed.return_value = "## PubMed Results"
-            mock_trials.return_value = "## Clinical Trials"
-            mock_europepmc.return_value = "## Europe PMC Results"
-
-            result = await search_all_sources("metformin", 5)
-
-            assert "Comprehensive Search" in result
-            assert "PubMed" in result
-            assert "Clinical Trials" in result
-            assert "Europe PMC" in result
-
-    @pytest.mark.asyncio
-    async def test_handles_partial_failures(self) -> None:
-        """Should handle partial failures gracefully."""
-        with (
-            patch("src.mcp_tools.search_pubmed", new_callable=AsyncMock) as mock_pubmed,
-            patch("src.mcp_tools.search_clinical_trials", new_callable=AsyncMock) as mock_trials,
-            patch("src.mcp_tools.search_europepmc", new_callable=AsyncMock) as mock_europepmc,
-        ):
-            mock_pubmed.return_value = "## PubMed Results"
-            mock_trials.side_effect = Exception("API Error")
-            mock_europepmc.return_value = "## Europe PMC Results"
-
-            result = await search_all_sources("metformin", 5)
-
-            # Should still contain working sources
-            assert "PubMed" in result
-            assert "Europe PMC" in result
-            # Should show error for failed source
-            assert "Error" in result
-
-
-class TestMCPDocstrings:
-    """Tests that docstrings follow MCP format."""
-
-    def test_search_pubmed_has_args_section(self) -> None:
-        """Docstring must have Args section for MCP schema generation."""
-        assert search_pubmed.__doc__ is not None
-        assert "Args:" in search_pubmed.__doc__
-        assert "query:" in search_pubmed.__doc__
-        assert "max_results:" in search_pubmed.__doc__
-        assert "Returns:" in search_pubmed.__doc__
-
-    def test_search_clinical_trials_has_args_section(self) -> None:
-        """Docstring must have Args section for MCP schema generation."""
-        assert search_clinical_trials.__doc__ is not None
-        assert "Args:" in search_clinical_trials.__doc__
-
-    def test_search_europepmc_has_args_section(self) -> None:
-        """Docstring must have Args section for MCP schema generation."""
-        assert search_europepmc.__doc__ is not None
-        assert "Args:" in search_europepmc.__doc__
-
-    def test_search_all_sources_has_args_section(self) -> None:
-        """Docstring must have Args section for MCP schema generation."""
-        assert search_all_sources.__doc__ is not None
-        assert "Args:" in search_all_sources.__doc__
-
-
-class TestMCPTypeHints:
-    """Tests that type hints are complete for MCP."""
-
-    def test_search_pubmed_type_hints(self) -> None:
-        """All parameters and return must have type hints."""
-        import inspect
-
-        sig = inspect.signature(search_pubmed)
-
-        # Check parameter hints
-        assert sig.parameters["query"].annotation is str
-        assert sig.parameters["max_results"].annotation is int
-
-        # Check return hint
-        assert sig.return_annotation is str
-
-    def test_search_clinical_trials_type_hints(self) -> None:
-        """All parameters and return must have type hints."""
-        import inspect
-
-        sig = inspect.signature(search_clinical_trials)
-        assert sig.parameters["query"].annotation is str
-        assert sig.parameters["max_results"].annotation is int
-        assert sig.return_annotation is str
diff --git a/tests/unit/test_no_webtool_references.py b/tests/unit/test_no_webtool_references.py
deleted file mode 100644
index d741a91a1e390dd8016f0ed1688b6b443a325808..0000000000000000000000000000000000000000
--- a/tests/unit/test_no_webtool_references.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import ast
-import pathlib
-
-import pytest
-
-
-def test_examples_no_webtool_imports():
-    """No example files should import WebTool or the websearch module."""
-    examples_dir = pathlib.Path("examples")
-
-    for py_file in examples_dir.rglob("*.py"):
-        try:
-            content = py_file.read_text(encoding="utf-8")
-        except UnicodeDecodeError:
-            # Skip files that can't be decoded as UTF-8
-            continue
-        tree = ast.parse(content)
-
-        for node in ast.walk(tree):
-            if isinstance(node, ast.ImportFrom):
-                module = node.module or ""
-                if "websearch" in module:
-                    pytest.fail(f"{py_file} imports websearch (should be removed)")
-                # Also check for `from src.tools import WebTool`
-                for alias in node.names:
-                    if alias.name == "WebTool":
-                        pytest.fail(f"{py_file} imports WebTool (should be removed)")
-            elif isinstance(node, ast.Import):
-                for alias in node.names:
-                    if "websearch" in alias.name:
-                        pytest.fail(f"{py_file} imports websearch (should be removed)")
diff --git a/tests/unit/test_orchestrator.py b/tests/unit/test_orchestrator.py
deleted file mode 100644
index d5d14432b31b55145508f068c54695fa46219389..0000000000000000000000000000000000000000
--- a/tests/unit/test_orchestrator.py
+++ /dev/null
@@ -1,285 +0,0 @@
-"""Unit tests for Orchestrator."""
-
-from unittest.mock import AsyncMock
-
-import pytest
-
-from src.orchestrator import Orchestrator
-from src.utils.models import (
-    AgentEvent,
-    AssessmentDetails,
-    Citation,
-    Evidence,
-    JudgeAssessment,
-    OrchestratorConfig,
-    SearchResult,
-)
-
-
-class TestOrchestrator:
-    """Tests for Orchestrator."""
-
-    @pytest.fixture
-    def mock_search_handler(self):
-        """Create a mock search handler."""
-        handler = AsyncMock()
-        handler.execute = AsyncMock(
-            return_value=SearchResult(
-                query="test",
-                evidence=[
-                    Evidence(
-                        content="Test content",
-                        citation=Citation(
-                            source="pubmed",
-                            title="Test Title",
-                            url="https://pubmed.ncbi.nlm.nih.gov/12345/",
-                            date="2024-01-01",
-                        ),
-                    ),
-                ],
-                sources_searched=["pubmed"],
-                total_found=1,
-                errors=[],
-            )
-        )
-        return handler
-
-    @pytest.fixture
-    def mock_judge_sufficient(self):
-        """Create a mock judge that returns sufficient."""
-        handler = AsyncMock()
-        handler.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=8,
-                    mechanism_reasoning="Good mechanism",
-                    clinical_evidence_score=7,
-                    clinical_reasoning="Good clinical",
-                    drug_candidates=["Drug A"],
-                    key_findings=["Finding 1"],
-                ),
-                sufficient=True,
-                confidence=0.85,
-                recommendation="synthesize",
-                next_search_queries=[],
-                reasoning="Evidence is sufficient",
-            )
-        )
-        return handler
-
-    @pytest.fixture
-    def mock_judge_insufficient(self):
-        """Create a mock judge that returns insufficient."""
-        handler = AsyncMock()
-        handler.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=4,
-                    mechanism_reasoning="Weak mechanism",
-                    clinical_evidence_score=3,
-                    clinical_reasoning="Weak clinical",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=False,
-                confidence=0.3,
-                recommendation="continue",
-                next_search_queries=["more specific query"],
-                reasoning="Need more evidence to make a decision.",
-            )
-        )
-        return handler
-
-    @pytest.mark.asyncio
-    async def test_orchestrator_completes_with_sufficient_evidence(
-        self,
-        mock_search_handler,
-        mock_judge_sufficient,
-    ):
-        """Orchestrator should complete when evidence is sufficient."""
-        config = OrchestratorConfig(max_iterations=5)
-        orchestrator = Orchestrator(
-            search_handler=mock_search_handler,
-            judge_handler=mock_judge_sufficient,
-            config=config,
-        )
-
-        events = []
-        async for event in orchestrator.run("test query"):
-            events.append(event)
-
-        # Should have started, searched, judged, and completed
-        event_types = [e.type for e in events]
-        assert "started" in event_types
-        assert "searching" in event_types
-        assert "search_complete" in event_types
-        assert "judging" in event_types
-        assert "judge_complete" in event_types
-        assert "complete" in event_types
-
-        # Should only have 1 iteration
-        complete_event = next(e for e in events if e.type == "complete")
-        assert complete_event.iteration == 1
-
-    @pytest.mark.asyncio
-    async def test_orchestrator_loops_when_insufficient(
-        self,
-        mock_search_handler,
-        mock_judge_insufficient,
-    ):
-        """Orchestrator should loop when evidence is insufficient."""
-        config = OrchestratorConfig(max_iterations=3)
-        orchestrator = Orchestrator(
-            search_handler=mock_search_handler,
-            judge_handler=mock_judge_insufficient,
-            config=config,
-        )
-
-        events = []
-        async for event in orchestrator.run("test query"):
-            events.append(event)
-
-        # Should have looping events
-        event_types = [e.type for e in events]
-        assert event_types.count("looping") >= 2  # noqa: PLR2004
-
-        # Should hit max iterations
-        complete_event = next(e for e in events if e.type == "complete")
-        assert complete_event.data.get("max_reached") is True
-
-    @pytest.mark.asyncio
-    async def test_orchestrator_respects_max_iterations(
-        self,
-        mock_search_handler,
-        mock_judge_insufficient,
-    ):
-        """Orchestrator should stop at max_iterations."""
-        config = OrchestratorConfig(max_iterations=2)
-        orchestrator = Orchestrator(
-            search_handler=mock_search_handler,
-            judge_handler=mock_judge_insufficient,
-            config=config,
-        )
-
-        events = []
-        async for event in orchestrator.run("test query"):
-            events.append(event)
-
-        # Should have exactly 2 iterations
-        max_iteration = max(e.iteration for e in events)
-        assert max_iteration == 2  # noqa: PLR2004
-
-    @pytest.mark.asyncio
-    async def test_orchestrator_handles_search_error(self):
-        """Orchestrator should handle search errors gracefully."""
-        mock_search = AsyncMock()
-        mock_search.execute = AsyncMock(side_effect=Exception("Search failed"))
-
-        mock_judge = AsyncMock()
-        mock_judge.assess = AsyncMock(
-            return_value=JudgeAssessment(
-                details=AssessmentDetails(
-                    mechanism_score=0,
-                    mechanism_reasoning="Not applicable here.",
-                    clinical_evidence_score=0,
-                    clinical_reasoning="Not applicable here.",
-                    drug_candidates=[],
-                    key_findings=[],
-                ),
-                sufficient=False,
-                confidence=0.0,
-                recommendation="continue",
-                next_search_queries=["retry query"],
-                reasoning="Search failed, retrying...",
-            )
-        )
-
-        config = OrchestratorConfig(max_iterations=2)
-        orchestrator = Orchestrator(
-            search_handler=mock_search,
-            judge_handler=mock_judge,
-            config=config,
-        )
-
-        events = []
-        async for event in orchestrator.run("test query"):
-            events.append(event)
-
-        # Should recover and loop despite errors
-        event_types = [e.type for e in events]
-        assert "error" not in event_types
-        assert "looping" in event_types
-
-    @pytest.mark.asyncio
-    async def test_orchestrator_deduplicates_evidence(self, mock_judge_insufficient):
-        """Orchestrator should deduplicate evidence by URL."""
-        # Search returns same evidence each time
-        duplicate_evidence = Evidence(
-            content="Duplicate content",
-            citation=Citation(
-                source="pubmed",
-                title="Same Title",
-                url="https://pubmed.ncbi.nlm.nih.gov/12345/",  # Same URL
-                date="2024-01-01",
-            ),
-        )
-
-        mock_search = AsyncMock()
-        mock_search.execute = AsyncMock(
-            return_value=SearchResult(
-                query="test",
-                evidence=[duplicate_evidence],
-                sources_searched=["pubmed"],
-                total_found=1,
-                errors=[],
-            )
-        )
-
-        config = OrchestratorConfig(max_iterations=2)
-        orchestrator = Orchestrator(
-            search_handler=mock_search,
-            judge_handler=mock_judge_insufficient,
-            config=config,
-        )
-
-        events = []
-        async for event in orchestrator.run("test query"):
-            events.append(event)
-
-        # Second search_complete should show 0 new evidence
-        search_complete_events = [e for e in events if e.type == "search_complete"]
-        assert len(search_complete_events) == 2  # noqa: PLR2004
-
-        # First iteration should have 1 new
-        assert search_complete_events[0].data["new_count"] == 1
-
-        # Second iteration should have 0 new (duplicate)
-        assert search_complete_events[1].data["new_count"] == 0
-
-
-class TestAgentEvent:
-    """Tests for AgentEvent."""
-
-    def test_to_markdown(self):
-        """AgentEvent should format to markdown correctly."""
-        event = AgentEvent(
-            type="searching",
-            message="Searching for: metformin alzheimer",
-            iteration=1,
-        )
-
-        md = event.to_markdown()
-        assert "🔍" in md
-        assert "SEARCHING" in md
-        assert "metformin alzheimer" in md
-
-    def test_complete_event_icon(self):
-        """Complete event should have celebration icon."""
-        event = AgentEvent(
-            type="complete",
-            message="Done!",
-            iteration=3,
-        )
-
-        md = event.to_markdown()
-        assert "🎉" in md
diff --git a/tests/unit/test_orchestrator_factory.py b/tests/unit/test_orchestrator_factory.py
deleted file mode 100644
index 78870f7ec760358d09f9a0cc0922047a550df0a4..0000000000000000000000000000000000000000
--- a/tests/unit/test_orchestrator_factory.py
+++ /dev/null
@@ -1,66 +0,0 @@
-"""Unit tests for Orchestrator Factory."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-pytestmark = pytest.mark.unit
-
-from src.orchestrator import Orchestrator
-from src.orchestrator_factory import create_orchestrator
-
-
-@pytest.fixture
-def mock_settings():
-    with patch("src.orchestrator_factory.settings", autospec=True) as mock_settings:
-        yield mock_settings
-
-
-@pytest.fixture
-def mock_magentic_cls():
-    with patch("src.orchestrator_factory._get_magentic_orchestrator_class") as mock:
-        # The mock returns a class (callable), which returns an instance
-        mock_class = MagicMock()
-        mock.return_value = mock_class
-        yield mock_class
-
-
-@pytest.fixture
-def mock_handlers():
-    return MagicMock(), MagicMock()
-
-
-def test_create_orchestrator_simple_explicit(mock_settings, mock_handlers):
-    """Test explicit simple mode."""
-    search, judge = mock_handlers
-    orch = create_orchestrator(search_handler=search, judge_handler=judge, mode="simple")
-    assert isinstance(orch, Orchestrator)
-
-
-def test_create_orchestrator_advanced_explicit(mock_settings, mock_handlers, mock_magentic_cls):
-    """Test explicit advanced mode."""
-    # Ensure has_openai_key is True so it doesn't error if we add checks
-    mock_settings.has_openai_key = True
-
-    orch = create_orchestrator(mode="advanced")
-    # verify instantiated
-    mock_magentic_cls.assert_called_once()
-    assert orch == mock_magentic_cls.return_value
-
-
-def test_create_orchestrator_auto_advanced(mock_settings, mock_magentic_cls):
-    """Test auto-detect advanced mode when OpenAI key exists."""
-    mock_settings.has_openai_key = True
-
-    orch = create_orchestrator()
-    mock_magentic_cls.assert_called_once()
-    assert orch == mock_magentic_cls.return_value
-
-
-def test_create_orchestrator_auto_simple(mock_settings, mock_handlers):
-    """Test auto-detect simple mode when no paid keys."""
-    mock_settings.has_openai_key = False
-
-    search, judge = mock_handlers
-    orch = create_orchestrator(search_handler=search, judge_handler=judge)
-    assert isinstance(orch, Orchestrator)
diff --git a/tests/unit/tools/__init__.py b/tests/unit/tools/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/unit/tools/test_clinicaltrials.py b/tests/unit/tools/test_clinicaltrials.py
deleted file mode 100644
index c7084d3b1428c4485a04108d1e12009f4a9c97e1..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_clinicaltrials.py
+++ /dev/null
@@ -1,152 +0,0 @@
-"""Unit tests for ClinicalTrials.gov tool."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-from src.tools.clinicaltrials import ClinicalTrialsTool
-from src.utils.models import Evidence
-
-
-@pytest.mark.unit
-class TestClinicalTrialsTool:
-    """Tests for ClinicalTrialsTool."""
-
-    @pytest.fixture
-    def tool(self) -> ClinicalTrialsTool:
-        return ClinicalTrialsTool()
-
-    def test_tool_name(self, tool: ClinicalTrialsTool) -> None:
-        assert tool.name == "clinicaltrials"
-
-    @pytest.mark.asyncio
-    async def test_search_uses_filters(self, tool: ClinicalTrialsTool) -> None:
-        """Test that search applies status and type filters."""
-        mock_response = MagicMock()
-        mock_response.json.return_value = {"studies": []}
-        mock_response.raise_for_status = MagicMock()
-
-        with patch("requests.get", return_value=mock_response) as mock_get:
-            await tool.search("test query", max_results=5)
-
-            # Verify filters were applied
-            call_args = mock_get.call_args
-            params = call_args.kwargs.get("params", call_args[1].get("params", {}))
-
-            # Should filter for active/completed studies
-            assert "filter.overallStatus" in params
-            assert "COMPLETED" in params["filter.overallStatus"]
-            assert "RECRUITING" in params["filter.overallStatus"]
-
-            # Should filter for interventional studies via query term
-            assert "AREA[StudyType]INTERVENTIONAL" in params["query.term"]
-            assert "filter.studyType" not in params
-
-    @pytest.mark.asyncio
-    async def test_search_returns_evidence(self, tool: ClinicalTrialsTool) -> None:
-        """Test that search returns Evidence objects."""
-        mock_study = {
-            "protocolSection": {
-                "identificationModule": {
-                    "nctId": "NCT12345678",
-                    "briefTitle": "Metformin for Long COVID Treatment",
-                },
-                "statusModule": {
-                    "overallStatus": "COMPLETED",
-                    "startDateStruct": {"date": "2023-01-01"},
-                },
-                "descriptionModule": {
-                    "briefSummary": "A study examining metformin for Long COVID symptoms.",
-                },
-                "designModule": {
-                    "phases": ["PHASE2", "PHASE3"],
-                },
-                "conditionsModule": {
-                    "conditions": ["Long COVID", "PASC"],
-                },
-                "armsInterventionsModule": {
-                    "interventions": [{"name": "Metformin"}],
-                },
-            }
-        }
-
-        mock_response = MagicMock()
-        mock_response.json.return_value = {"studies": [mock_study]}
-        mock_response.raise_for_status = MagicMock()
-
-        with patch("requests.get", return_value=mock_response):
-            results = await tool.search("long covid metformin", max_results=5)
-
-            assert len(results) == 1
-            assert isinstance(results[0], Evidence)
-            assert "Metformin" in results[0].citation.title
-            assert "PHASE2" in results[0].content or "Phase" in results[0].content
-
-    @pytest.mark.asyncio
-    async def test_search_includes_phase_info(self, tool: ClinicalTrialsTool) -> None:
-        """Test that phase information is included in content."""
-        mock_study = {
-            "protocolSection": {
-                "identificationModule": {
-                    "nctId": "NCT12345678",
-                    "briefTitle": "Test Study",
-                },
-                "statusModule": {
-                    "overallStatus": "RECRUITING",
-                    "startDateStruct": {"date": "2024-01-01"},
-                },
-                "descriptionModule": {
-                    "briefSummary": "Test summary.",
-                },
-                "designModule": {
-                    "phases": ["PHASE3"],
-                },
-                "conditionsModule": {"conditions": ["Test"]},
-                "armsInterventionsModule": {"interventions": []},
-            }
-        }
-
-        mock_response = MagicMock()
-        mock_response.json.return_value = {"studies": [mock_study]}
-        mock_response.raise_for_status = MagicMock()
-
-        with patch("requests.get", return_value=mock_response):
-            results = await tool.search("test", max_results=5)
-
-            # Phase should be in content
-            assert "PHASE3" in results[0].content or "Phase 3" in results[0].content
-
-    @pytest.mark.asyncio
-    async def test_search_empty_results(self, tool: ClinicalTrialsTool) -> None:
-        """Test handling of empty results."""
-        mock_response = MagicMock()
-        mock_response.json.return_value = {"studies": []}
-        mock_response.raise_for_status = MagicMock()
-
-        with patch("requests.get", return_value=mock_response):
-            results = await tool.search("nonexistent xyz 12345", max_results=5)
-            assert results == []
-
-
-@pytest.mark.integration
-class TestClinicalTrialsIntegration:
-    """Integration tests with real API."""
-
-    @pytest.mark.asyncio
-    async def test_real_api_returns_interventional(self) -> None:
-        """Test that real API returns interventional studies."""
-        tool = ClinicalTrialsTool()
-        results = await tool.search("long covid treatment", max_results=3)
-
-        # Should get results
-        assert len(results) > 0
-
-        # Results should mention interventions or treatments
-        all_content = " ".join([r.content.lower() for r in results])
-        has_intervention = (
-            "intervention" in all_content
-            or "treatment" in all_content
-            or "drug" in all_content
-            or "phase" in all_content
-        )
-        assert has_intervention
diff --git a/tests/unit/tools/test_europepmc.py b/tests/unit/tools/test_europepmc.py
deleted file mode 100644
index 7c6e87235a970e42893299355ed237dace948ad8..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_europepmc.py
+++ /dev/null
@@ -1,123 +0,0 @@
-"""Unit tests for Europe PMC tool."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.tools.europepmc import EuropePMCTool
-from src.utils.models import Evidence
-
-
-@pytest.mark.unit
-class TestEuropePMCTool:
-    """Tests for EuropePMCTool."""
-
-    @pytest.fixture
-    def tool(self) -> EuropePMCTool:
-        return EuropePMCTool()
-
-    def test_tool_name(self, tool: EuropePMCTool) -> None:
-        assert tool.name == "europepmc"
-
-    @pytest.mark.asyncio
-    async def test_search_returns_evidence(self, tool: EuropePMCTool) -> None:
-        """Test that search returns Evidence objects."""
-        mock_response = {
-            "resultList": {
-                "result": [
-                    {
-                        "id": "12345",
-                        "title": "Long COVID Treatment Study",
-                        "abstractText": "This study examines treatments for Long COVID.",
-                        "doi": "10.1234/test",
-                        "pubYear": "2024",
-                        "source": "MED",
-                        "pubTypeList": {"pubType": ["research-article"]},
-                    }
-                ]
-            }
-        }
-
-        with patch("httpx.AsyncClient") as mock_client:
-            mock_instance = AsyncMock()
-            mock_client.return_value.__aenter__.return_value = mock_instance
-
-            # Create response mock
-            mock_resp = MagicMock()
-            mock_resp.json.return_value = mock_response
-            mock_resp.raise_for_status.return_value = None
-
-            mock_instance.get.return_value = mock_resp
-
-            results = await tool.search("long covid treatment", max_results=5)
-
-            assert len(results) == 1
-            assert isinstance(results[0], Evidence)
-            assert "Long COVID Treatment Study" in results[0].citation.title
-
-    @pytest.mark.asyncio
-    async def test_search_marks_preprints(self, tool: EuropePMCTool) -> None:
-        """Test that preprints are marked correctly."""
-        mock_response = {
-            "resultList": {
-                "result": [
-                    {
-                        "id": "PPR12345",
-                        "title": "Preprint Study",
-                        "abstractText": "Abstract text",
-                        "doi": "10.1234/preprint",
-                        "pubYear": "2024",
-                        "source": "PPR",
-                        "pubTypeList": {"pubType": ["Preprint"]},
-                    }
-                ]
-            }
-        }
-
-        with patch("httpx.AsyncClient") as mock_client:
-            mock_instance = AsyncMock()
-            mock_client.return_value.__aenter__.return_value = mock_instance
-
-            mock_resp = MagicMock()
-            mock_resp.json.return_value = mock_response
-            mock_resp.raise_for_status.return_value = None
-            mock_instance.get.return_value = mock_resp
-
-            results = await tool.search("test", max_results=5)
-
-            assert "PREPRINT" in results[0].content
-            assert results[0].citation.source == "preprint"
-
-    @pytest.mark.asyncio
-    async def test_search_empty_results(self, tool: EuropePMCTool) -> None:
-        """Test handling of empty results."""
-        mock_response = {"resultList": {"result": []}}
-
-        with patch("httpx.AsyncClient") as mock_client:
-            mock_instance = AsyncMock()
-            mock_client.return_value.__aenter__.return_value = mock_instance
-
-            mock_resp = MagicMock()
-            mock_resp.json.return_value = mock_response
-            mock_resp.raise_for_status.return_value = None
-            mock_instance.get.return_value = mock_resp
-
-            results = await tool.search("nonexistent query xyz", max_results=5)
-
-            assert results == []
-
-
-@pytest.mark.integration
-class TestEuropePMCIntegration:
-    """Integration tests with real API."""
-
-    @pytest.mark.asyncio
-    async def test_real_api_call(self) -> None:
-        """Test actual API returns relevant results."""
-        tool = EuropePMCTool()
-        results = await tool.search("long covid treatment", max_results=3)
-
-        assert len(results) > 0
-        # At least one result should mention COVID
-        titles = " ".join([r.citation.title.lower() for r in results])
-        assert "covid" in titles or "sars" in titles
diff --git a/tests/unit/tools/test_pubmed.py b/tests/unit/tools/test_pubmed.py
deleted file mode 100644
index f0e1717374c7c497300ffa29abc1653e839ca110..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_pubmed.py
+++ /dev/null
@@ -1,334 +0,0 @@
-"""Unit tests for PubMed tool."""
-
-from unittest.mock import AsyncMock, MagicMock
-
-import pytest
-
-from src.tools.pubmed import PubMedTool
-
-# Sample PubMed XML response for mocking
-SAMPLE_PUBMED_XML = """<?xml version="1.0" ?>
-<PubmedArticleSet>
-    <PubmedArticle>
-        <MedlineCitation>
-            <PMID>12345678</PMID>
-            <Article>
-                <ArticleTitle>Metformin in Alzheimer's Disease: A Systematic Review</ArticleTitle>
-                <Abstract>
-                    <AbstractText>Metformin shows neuroprotective properties...</AbstractText>
-                </Abstract>
-                <AuthorList>
-                    <Author>
-                        <LastName>Smith</LastName>
-                        <ForeName>John</ForeName>
-                    </Author>
-                </AuthorList>
-                <Journal>
-                    <JournalIssue>
-                        <PubDate>
-                            <Year>2024</Year>
-                            <Month>01</Month>
-                        </PubDate>
-                    </JournalIssue>
-                </Journal>
-            </Article>
-        </MedlineCitation>
-    </PubmedArticle>
-</PubmedArticleSet>
-"""
-
-
-class TestPubMedTool:
-    """Tests for PubMedTool."""
-
-    @pytest.mark.asyncio
-    async def test_search_returns_evidence(self, mocker):
-        """PubMedTool should return Evidence objects from search."""
-        # Mock the HTTP responses
-        mock_search_response = MagicMock()
-        mock_search_response.json.return_value = {"esearchresult": {"idlist": ["12345678"]}}
-        mock_search_response.raise_for_status = MagicMock()
-
-        mock_fetch_response = MagicMock()
-        mock_fetch_response.text = SAMPLE_PUBMED_XML
-        mock_fetch_response.raise_for_status = MagicMock()
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(side_effect=[mock_search_response, mock_fetch_response])
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        # Act
-        tool = PubMedTool()
-        results = await tool.search("metformin alzheimer")
-
-        # Assert
-        assert len(results) == 1
-        assert results[0].citation.source == "pubmed"
-        assert "Metformin" in results[0].citation.title
-        assert "12345678" in results[0].citation.url
-
-    @pytest.mark.asyncio
-    async def test_search_empty_results(self, mocker):
-        """PubMedTool should return empty list when no results."""
-        mock_response = MagicMock()
-        mock_response.json.return_value = {"esearchresult": {"idlist": []}}
-        mock_response.raise_for_status = MagicMock()
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        results = await tool.search("xyznonexistentquery123")
-
-        assert results == []
-
-    def test_parse_pubmed_xml(self):
-        """PubMedTool should correctly parse XML."""
-        tool = PubMedTool()
-        results = tool._parse_pubmed_xml(SAMPLE_PUBMED_XML)
-
-        assert len(results) == 1
-        assert results[0].citation.source == "pubmed"
-        assert "Smith John" in results[0].citation.authors
-
-    @pytest.mark.asyncio
-    async def test_search_preprocesses_query(self, mocker):
-        """Test that queries are preprocessed before search."""
-        mock_search_response = MagicMock()
-        mock_search_response.json.return_value = {"esearchresult": {"idlist": []}}
-        mock_search_response.raise_for_status = MagicMock()
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_search_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        await tool.search("What drugs help with Long COVID?")
-
-        # Verify call args
-        call_args = mock_client.get.call_args
-        params = call_args[1]["params"]
-        term = params["term"]
-
-        # "what" and "help" should be stripped
-        assert "what" not in term.lower()
-        assert "help" not in term.lower()
-        # "long covid" should be expanded
-        assert "PASC" in term or "post-COVID" in term
-
-    @pytest.mark.asyncio
-    async def test_rate_limiting_enforced(self, mocker):
-        """PubMedTool should enforce rate limiting between requests."""
-        from unittest.mock import patch
-
-        mock_search_response = MagicMock()
-        mock_search_response.json.return_value = {"esearchresult": {"idlist": []}}
-        mock_search_response.raise_for_status = MagicMock()
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_search_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        from src.tools.rate_limiter import reset_pubmed_limiter
-
-        # Reset the rate limiter to ensure clean state
-        reset_pubmed_limiter()
-
-        mock_search_response = MagicMock()
-        mock_search_response.json.return_value = {"esearchresult": {"idlist": []}}
-        mock_search_response.raise_for_status = MagicMock()
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_search_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        tool._limiter.reset()  # Reset storage to start fresh
-
-        # For 3 requests/second rate limit, we need to make 4 requests quickly to trigger the limit
-        # Make first 3 requests - should all succeed without sleep (within rate limit)
-        with patch("asyncio.sleep") as mock_sleep_first:
-            for i in range(3):
-                await tool.search(f"test query {i + 1}")
-            # First 3 requests should not sleep (within 3/second limit)
-            assert mock_sleep_first.call_count == 0
-
-        # Make 4th request immediately - should trigger rate limit
-        # For 3 requests/second, the 4th request should wait
-        with patch("asyncio.sleep") as mock_sleep:
-            await tool.search("test query 4")
-            # Rate limiter uses polling with 0.01s sleep, so sleep should be called
-            # multiple times until enough time has passed (at least once)
-            assert mock_sleep.call_count > 0, (
-                f"Rate limiter should call sleep when rate limit is hit. Call count: {mock_sleep.call_count}"
-            )
-
-    @pytest.mark.asyncio
-    async def test_api_key_included_in_params(self, mocker):
-        """PubMedTool should include API key in params when provided."""
-        mock_search_response = MagicMock()
-        mock_search_response.json.return_value = {"esearchresult": {"idlist": []}}
-        mock_search_response.raise_for_status = MagicMock()
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_search_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        # Test with API key
-        tool = PubMedTool(api_key="test-api-key-123")
-        await tool.search("test query")
-
-        # Verify API key was included in params
-        call_args = mock_client.get.call_args
-        params = call_args[1]["params"]
-        assert "api_key" in params
-        assert params["api_key"] == "test-api-key-123"
-
-        # Test without API key
-        tool_no_key = PubMedTool(api_key=None)
-        mock_client.get.reset_mock()
-        await tool_no_key.search("test query")
-
-        call_args = mock_client.get.call_args
-        params = call_args[1]["params"]
-        assert "api_key" not in params
-
-    @pytest.mark.asyncio
-    async def test_handles_429_rate_limit(self, mocker):
-        """PubMedTool should raise RateLimitError on 429 response."""
-        import httpx
-
-        from src.utils.exceptions import RateLimitError
-
-        mock_response = MagicMock()
-        mock_response.status_code = 429
-        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
-            "Rate limit", request=MagicMock(), response=mock_response
-        )
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        with pytest.raises(RateLimitError, match="rate limit exceeded"):
-            await tool.search("test query")
-
-    @pytest.mark.asyncio
-    async def test_handles_500_server_error(self, mocker):
-        """PubMedTool should raise SearchError on 500 response."""
-        import httpx
-
-        from src.utils.exceptions import SearchError
-
-        mock_response = MagicMock()
-        mock_response.status_code = 500
-        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
-            "Server error", request=MagicMock(), response=mock_response
-        )
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(return_value=mock_response)
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        with pytest.raises(SearchError, match="PubMed search failed"):
-            await tool.search("test query")
-
-    @pytest.mark.asyncio
-    async def test_handles_network_timeout(self, mocker):
-        """PubMedTool should handle network timeout errors."""
-        import httpx
-
-        from src.utils.exceptions import SearchError
-
-        mock_client = AsyncMock()
-        mock_client.get = AsyncMock(side_effect=httpx.TimeoutException("Timeout"))
-        mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-        mock_client.__aexit__ = AsyncMock(return_value=None)
-
-        mocker.patch("httpx.AsyncClient", return_value=mock_client)
-
-        tool = PubMedTool()
-        # Should be retried by tenacity, but eventually raise SearchError
-        with pytest.raises(SearchError):
-            await tool.search("test query")
-
-    def test_parse_empty_xml(self):
-        """PubMedTool should handle empty XML gracefully."""
-        tool = PubMedTool()
-        empty_xml = '<?xml version="1.0" ?><PubmedArticleSet></PubmedArticleSet>'
-        results = tool._parse_pubmed_xml(empty_xml)
-        assert results == []
-
-    def test_parse_malformed_xml(self):
-        """PubMedTool should raise SearchError on malformed XML."""
-        from src.utils.exceptions import SearchError
-
-        tool = PubMedTool()
-        malformed_xml = "<not>valid</xml>"
-        with pytest.raises(SearchError, match="Failed to parse PubMed XML"):
-            tool._parse_pubmed_xml(malformed_xml)
-
-    def test_parse_article_without_abstract(self):
-        """PubMedTool should skip articles without abstracts."""
-        tool = PubMedTool()
-        xml_no_abstract = """<?xml version="1.0" ?>
-        <PubmedArticleSet>
-            <PubmedArticle>
-                <MedlineCitation>
-                    <PMID>12345678</PMID>
-                    <Article>
-                        <ArticleTitle>Test Article</ArticleTitle>
-                    </Article>
-                </MedlineCitation>
-            </PubmedArticle>
-        </PubmedArticleSet>
-        """
-        results = tool._parse_pubmed_xml(xml_no_abstract)
-        # Should return empty list because article has no abstract
-        assert results == []
-
-    def test_parse_article_without_title(self):
-        """PubMedTool should skip articles without titles."""
-        tool = PubMedTool()
-        xml_no_title = """<?xml version="1.0" ?>
-        <PubmedArticleSet>
-            <PubmedArticle>
-                <MedlineCitation>
-                    <PMID>12345678</PMID>
-                    <Article>
-                        <Abstract>
-                            <AbstractText>Some abstract text</AbstractText>
-                        </Abstract>
-                    </Article>
-                </MedlineCitation>
-            </PubmedArticle>
-        </PubmedArticleSet>
-        """
-        results = tool._parse_pubmed_xml(xml_no_title)
-        # Should return empty list because article has no title
-        assert results == []
diff --git a/tests/unit/tools/test_query_utils.py b/tests/unit/tools/test_query_utils.py
deleted file mode 100644
index 773797b2fececa25435635c71818eac340b091d6..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_query_utils.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""Unit tests for query preprocessing utilities."""
-
-import pytest
-
-from src.tools.query_utils import expand_synonyms, preprocess_query, strip_question_words
-
-
-@pytest.mark.unit
-class TestQueryPreprocessing:
-    """Tests for query preprocessing."""
-
-    def test_strip_question_words(self) -> None:
-        """Test removal of question words."""
-        assert strip_question_words("What drugs treat cancer") == "drugs treat cancer"
-        assert strip_question_words("Which medications help diabetes") == "medications diabetes"
-        assert strip_question_words("How can we cure alzheimer") == "we cure alzheimer"
-        assert strip_question_words("Is metformin effective") == "metformin"
-
-    def test_strip_preserves_medical_terms(self) -> None:
-        """Test that medical terms are preserved."""
-        result = strip_question_words("What is the mechanism of metformin")
-        assert "metformin" in result
-        assert "mechanism" in result
-
-    def test_expand_synonyms_long_covid(self) -> None:
-        """Test Long COVID synonym expansion."""
-        result = expand_synonyms("long covid treatment")
-        assert "PASC" in result or "post-COVID" in result
-
-    def test_expand_synonyms_alzheimer(self) -> None:
-        """Test Alzheimer's synonym expansion."""
-        result = expand_synonyms("alzheimer drug")
-        assert "Alzheimer" in result
-
-    def test_expand_synonyms_preserves_unknown(self) -> None:
-        """Test that unknown terms are preserved."""
-        result = expand_synonyms("metformin diabetes")
-        assert "metformin" in result
-        assert "diabetes" in result
-
-    def test_preprocess_query_full_pipeline(self) -> None:
-        """Test complete preprocessing pipeline."""
-        raw = "What medications show promise for Long COVID?"
-        result = preprocess_query(raw)
-
-        # Should not contain question words
-        assert "what" not in result.lower()
-        assert "show" not in result.lower()
-        assert "promise" not in result.lower()
-
-        # Should contain expanded terms
-        assert "PASC" in result or "post-COVID" in result or "long covid" in result.lower()
-        assert "medications" in result.lower() or "drug" in result.lower()
-
-    def test_preprocess_query_removes_punctuation(self) -> None:
-        """Test that question marks are removed."""
-        result = preprocess_query("Is metformin safe?")
-        assert "?" not in result
-
-    def test_preprocess_query_handles_empty(self) -> None:
-        """Test handling of empty/whitespace queries."""
-        assert preprocess_query("") == ""
-        assert preprocess_query("   ") == ""
-
-    def test_preprocess_query_already_clean(self) -> None:
-        """Test that clean queries pass through."""
-        clean = "metformin diabetes mechanism"
-        result = preprocess_query(clean)
-        assert "metformin" in result
-        assert "diabetes" in result
-        assert "mechanism" in result
diff --git a/tests/unit/tools/test_rag_tool.py b/tests/unit/tools/test_rag_tool.py
deleted file mode 100644
index 3365e3c5737ac99ce63b8952ba7e75f9c6a76b47..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_rag_tool.py
+++ /dev/null
@@ -1,280 +0,0 @@
-"""Unit tests for RAGTool."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-from src.tools.rag_tool import RAGTool, create_rag_tool
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import Evidence
-
-
-class TestRAGTool:
-    """Tests for RAGTool class."""
-
-    def test_name_property(self):
-        """RAGTool should have name 'rag'."""
-        tool = RAGTool(rag_service=None)
-        assert tool.name == "rag"
-
-    def test_init_with_rag_service(self):
-        """RAGTool should accept provided RAG service."""
-        mock_service = MagicMock()
-        tool = RAGTool(rag_service=mock_service)
-        assert tool._rag_service == mock_service
-
-    def test_init_without_rag_service(self):
-        """RAGTool should initialize without RAG service (lazy init)."""
-        tool = RAGTool(rag_service=None)
-        assert tool._rag_service is None
-
-    @pytest.mark.asyncio
-    async def test_search_with_rag_service(self):
-        """RAGTool.search() should return Evidence objects from RAG."""
-        # Mock RAG service
-        mock_service = MagicMock()
-        mock_service.retrieve.return_value = [
-            {
-                "text": "Metformin shows neuroprotective properties in Alzheimer's models.",
-                "score": 0.85,
-                "metadata": {
-                    "source": "pubmed",
-                    "title": "Metformin and Alzheimer's Disease",
-                    "url": "https://pubmed.ncbi.nlm.nih.gov/12345678/",
-                    "date": "2024-01-15",
-                    "authors": "Smith J, Johnson M",
-                },
-            },
-            {
-                "text": "Research offers faster path to treatment discovery.",
-                "score": 0.72,
-                "metadata": {
-                    "source": "pubmed",
-                    "title": "Research Strategies for Treatment Discovery",
-                    "url": "https://example.com/drug-repurposing",
-                    "date": "Unknown",
-                    "authors": "",
-                },
-            },
-        ]
-
-        tool = RAGTool(rag_service=mock_service)
-        results = await tool.search("metformin alzheimer", max_results=10)
-
-        # Assert
-        assert len(results) == 2
-        assert all(isinstance(e, Evidence) for e in results)
-        assert results[0].citation.source == "rag"
-        assert "Metformin" in results[0].citation.title
-        assert results[0].relevance == 0.85
-        assert "Smith J" in results[0].citation.authors
-        assert results[1].citation.source == "rag"
-        assert results[1].relevance == 0.72
-
-        # Verify RAG service was called
-        mock_service.retrieve.assert_called_once_with("metformin alzheimer", top_k=10)
-
-    @pytest.mark.asyncio
-    async def test_search_empty_results(self):
-        """RAGTool.search() should return empty list when no results."""
-        mock_service = MagicMock()
-        mock_service.retrieve.return_value = []
-
-        tool = RAGTool(rag_service=mock_service)
-        results = await tool.search("nonexistent query")
-
-        assert results == []
-        mock_service.retrieve.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_search_handles_missing_metadata(self):
-        """RAGTool should handle documents with missing metadata gracefully."""
-        mock_service = MagicMock()
-        mock_service.retrieve.return_value = [
-            {
-                "text": "Some content",
-                "score": 0.5,
-                "metadata": {},  # Missing all metadata fields
-            }
-        ]
-
-        tool = RAGTool(rag_service=mock_service)
-        results = await tool.search("test query")
-
-        # Should still create Evidence with defaults
-        assert len(results) == 1
-        assert results[0].content == "Some content"
-        assert results[0].citation.title == "Untitled"
-        assert results[0].citation.url == ""
-        assert results[0].citation.date == "Unknown"
-        assert results[0].citation.authors == []
-
-    @pytest.mark.asyncio
-    async def test_search_handles_invalid_document(self):
-        """RAGTool should skip invalid documents and continue."""
-        mock_service = MagicMock()
-        mock_service.retrieve.return_value = [
-            {
-                "text": "Valid document",
-                "score": 0.8,
-                "metadata": {"title": "Valid", "url": "http://example.com", "date": "2024"},
-            },
-            {
-                "text": "",  # Invalid: missing text
-                "score": 0.5,
-                "metadata": {"title": "Invalid"},
-            },
-        ]
-
-        tool = RAGTool(rag_service=mock_service)
-        results = await tool.search("test")
-
-        # Should only return valid document
-        assert len(results) == 1
-        assert results[0].content == "Valid document"
-
-    @pytest.mark.asyncio
-    async def test_search_handles_rag_service_error(self):
-        """RAGTool should return empty list on RAG service error."""
-        mock_service = MagicMock()
-        mock_service.retrieve.side_effect = Exception("RAG service error")
-
-        tool = RAGTool(rag_service=mock_service)
-        results = await tool.search("test query")
-
-        # Should return empty list, not raise exception
-        assert results == []
-
-    @pytest.mark.asyncio
-    async def test_search_lazy_initialization_success(self):
-        """RAGTool should lazy-initialize RAG service when needed."""
-        with patch("src.services.llamaindex_rag.get_rag_service") as mock_get_service:
-            mock_service = MagicMock()
-            mock_service.retrieve.return_value = [
-                {
-                    "text": "Test content",
-                    "score": 0.9,
-                    "metadata": {
-                        "title": "Test",
-                        "url": "http://test.com",
-                        "date": "2024",
-                        "authors": "Author A",
-                    },
-                }
-            ]
-            mock_get_service.return_value = mock_service
-
-            tool = RAGTool(rag_service=None)
-            results = await tool.search("test")
-
-            assert len(results) == 1
-            mock_get_service.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_search_lazy_initialization_failure(self):
-        """RAGTool should return empty list if RAG service unavailable."""
-        with patch("src.services.llamaindex_rag.get_rag_service") as mock_get_service:
-            mock_get_service.side_effect = ConfigurationError("OPENAI_API_KEY required")
-
-            tool = RAGTool(rag_service=None)
-            results = await tool.search("test")
-
-            assert results == []
-
-    def test_doc_to_evidence_conversion(self):
-        """RAGTool should correctly convert RAG documents to Evidence."""
-        tool = RAGTool(rag_service=None)
-
-        doc = {
-            "text": "Test content here",
-            "score": 0.85,
-            "metadata": {
-                "title": "Test Title",
-                "url": "https://example.com/test",
-                "date": "2024-01-15",
-                "authors": "Author One, Author Two",
-            },
-        }
-
-        evidence = tool._doc_to_evidence(doc)
-
-        assert isinstance(evidence, Evidence)
-        assert evidence.content == "Test content here"
-        assert evidence.relevance == 0.85
-        assert evidence.citation.source == "rag"
-        assert evidence.citation.title == "Test Title"
-        assert evidence.citation.url == "https://example.com/test"
-        assert evidence.citation.date == "2024-01-15"
-        assert len(evidence.citation.authors) == 2
-        assert "Author One" in evidence.citation.authors
-        assert "Author Two" in evidence.citation.authors
-
-    def test_doc_to_evidence_handles_missing_fields(self):
-        """RAGTool should handle missing metadata fields."""
-        tool = RAGTool(rag_service=None)
-
-        doc = {
-            "text": "Content",
-            "score": None,  # Missing score
-            "metadata": {
-                # Missing all optional fields
-            },
-        }
-
-        evidence = tool._doc_to_evidence(doc)
-
-        assert evidence.content == "Content"
-        assert evidence.relevance == 0.0  # Default when score is None
-        assert evidence.citation.title == "Untitled"
-        assert evidence.citation.url == ""
-        assert evidence.citation.date == "Unknown"
-        assert evidence.citation.authors == []
-
-    def test_doc_to_evidence_relevance_normalization(self):
-        """RAGTool should normalize relevance scores to 0-1 range."""
-        tool = RAGTool(rag_service=None)
-
-        # Test score > 1.0 (should be clamped)
-        doc_high = {
-            "text": "Content",
-            "score": 1.5,
-            "metadata": {"title": "Test", "url": "", "date": "2024"},
-        }
-        evidence_high = tool._doc_to_evidence(doc_high)
-        assert evidence_high.relevance == 1.0
-
-        # Test score < 0.0 (should be clamped)
-        doc_low = {
-            "text": "Content",
-            "score": -0.5,
-            "metadata": {"title": "Test", "url": "", "date": "2024"},
-        }
-        evidence_low = tool._doc_to_evidence(doc_low)
-        assert evidence_low.relevance == 0.0
-
-
-class TestCreateRAGTool:
-    """Tests for create_rag_tool factory function."""
-
-    def test_create_rag_tool_with_service(self):
-        """create_rag_tool should accept provided RAG service."""
-        mock_service = MagicMock()
-        tool = create_rag_tool(rag_service=mock_service)
-
-        assert isinstance(tool, RAGTool)
-        assert tool._rag_service == mock_service
-
-    def test_create_rag_tool_without_service(self):
-        """create_rag_tool should create tool without service (lazy init)."""
-        tool = create_rag_tool(rag_service=None)
-
-        assert isinstance(tool, RAGTool)
-        assert tool._rag_service is None
-
-    @patch("src.tools.rag_tool.RAGTool")
-    def test_create_rag_tool_handles_error(self, mock_rag_tool_class):
-        """create_rag_tool should raise ConfigurationError on failure."""
-        mock_rag_tool_class.side_effect = Exception("Test error")
-
-        with pytest.raises(ConfigurationError, match="Failed to create RAG tool"):
-            create_rag_tool()
diff --git a/tests/unit/tools/test_rate_limiting.py b/tests/unit/tools/test_rate_limiting.py
deleted file mode 100644
index b67cea1f98bce805868d6eaa5af1cebfa52f00b0..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_rate_limiting.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""Tests for rate limiting functionality."""
-
-import asyncio
-import time
-
-import pytest
-
-from src.tools.rate_limiter import RateLimiter, get_pubmed_limiter, reset_pubmed_limiter
-
-
-class TestRateLimiter:
-    """Test suite for rate limiter."""
-
-    def test_create_limiter_without_api_key(self) -> None:
-        """Should create 3/sec limiter without API key."""
-        limiter = RateLimiter(rate="3/second")
-        assert limiter.rate == "3/second"
-
-    def test_create_limiter_with_api_key(self) -> None:
-        """Should create 10/sec limiter with API key."""
-        limiter = RateLimiter(rate="10/second")
-        assert limiter.rate == "10/second"
-
-    @pytest.mark.asyncio
-    async def test_limiter_allows_requests_under_limit(self) -> None:
-        """Should allow requests under the rate limit."""
-        limiter = RateLimiter(rate="10/second")
-
-        # 3 requests should all succeed immediately
-        for _ in range(3):
-            allowed = await limiter.acquire()
-            assert allowed is True
-
-    @pytest.mark.asyncio
-    async def test_limiter_blocks_when_exceeded(self) -> None:
-        """Should wait when rate limit exceeded."""
-        limiter = RateLimiter(rate="2/second")
-
-        # First 2 should be instant
-        await limiter.acquire()
-        await limiter.acquire()
-
-        # Third should block briefly
-        start = time.monotonic()
-        await limiter.acquire()
-        elapsed = time.monotonic() - start
-
-        # Should have waited ~0.5 seconds (half second window for 2/sec)
-        assert elapsed >= 0.3
-
-    @pytest.mark.asyncio
-    async def test_limiter_resets_after_window(self) -> None:
-        """Rate limit should reset after time window."""
-        limiter = RateLimiter(rate="5/second")
-
-        # Use up the limit
-        for _ in range(5):
-            await limiter.acquire()
-
-        # Wait for window to pass
-        await asyncio.sleep(1.1)
-
-        # Should be allowed again
-        start = time.monotonic()
-        await limiter.acquire()
-        elapsed = time.monotonic() - start
-
-        assert elapsed < 0.1  # Should be nearly instant
-
-
-class TestGetPubmedLimiter:
-    """Test PubMed-specific limiter factory."""
-
-    @pytest.fixture(autouse=True)
-    def setup_teardown(self):
-        """Reset limiter before and after each test."""
-        reset_pubmed_limiter()
-        yield
-        reset_pubmed_limiter()
-
-    def test_limiter_without_api_key(self) -> None:
-        """Should return 3/sec limiter without key."""
-        limiter = get_pubmed_limiter(api_key=None)
-        assert "3" in limiter.rate
-
-    def test_limiter_with_api_key(self) -> None:
-        """Should return 10/sec limiter with key."""
-        limiter = get_pubmed_limiter(api_key="my-api-key")
-        assert "10" in limiter.rate
-
-    def test_limiter_is_singleton(self) -> None:
-        """Same API key should return same limiter instance."""
-        limiter1 = get_pubmed_limiter(api_key="key1")
-        limiter2 = get_pubmed_limiter(api_key="key1")
-        assert limiter1 is limiter2
-
-    def test_different_keys_different_limiters(self) -> None:
-        """Different API keys should return different limiters."""
-        limiter1 = get_pubmed_limiter(api_key="key1")
-        limiter2 = get_pubmed_limiter(api_key="key2")
-        # Clear cache for clean test
-        # Actually, different keys SHOULD share the same limiter
-        # since we're limiting against the same API
-        assert limiter1 is limiter2  # Shared NCBI rate limit
diff --git a/tests/unit/tools/test_search_handler.py b/tests/unit/tools/test_search_handler.py
deleted file mode 100644
index fb6beae7f708b99a2ca58057ae61f4e1c17c8774..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_search_handler.py
+++ /dev/null
@@ -1,197 +0,0 @@
-"""Unit tests for SearchHandler."""
-
-from unittest.mock import AsyncMock
-
-import pytest
-
-from src.tools.search_handler import SearchHandler
-from src.utils.exceptions import SearchError
-from src.utils.models import Citation, Evidence
-
-
-class TestSearchHandler:
-    """Tests for SearchHandler."""
-
-    @pytest.mark.asyncio
-    async def test_execute_aggregates_results(self):
-        """SearchHandler should aggregate results from all tools."""
-        # Create mock tools
-        mock_tool_1 = AsyncMock()
-        mock_tool_1.name = "pubmed"
-        mock_tool_1.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Result 1",
-                    citation=Citation(source="pubmed", title="T1", url="u1", date="2024"),
-                )
-            ]
-        )
-
-        mock_tool_2 = AsyncMock()
-        mock_tool_2.name = "pubmed"  # Type system currently restricts to pubmed
-        mock_tool_2.search = AsyncMock(return_value=[])
-
-        handler = SearchHandler(tools=[mock_tool_1, mock_tool_2])
-        result = await handler.execute("test query")
-
-        assert result.total_found == 1
-        assert "pubmed" in result.sources_searched
-        assert len(result.errors) == 0
-
-    @pytest.mark.asyncio
-    async def test_execute_handles_tool_failure(self):
-        """SearchHandler should continue if one tool fails."""
-        mock_tool_ok = AsyncMock()
-        mock_tool_ok.name = "pubmed"
-        mock_tool_ok.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Good result",
-                    citation=Citation(source="pubmed", title="T", url="u", date="2024"),
-                )
-            ]
-        )
-
-        mock_tool_fail = AsyncMock()
-        mock_tool_fail.name = "pubmed"  # Mocking a second pubmed instance failing
-        mock_tool_fail.search = AsyncMock(side_effect=SearchError("API down"))
-
-        handler = SearchHandler(tools=[mock_tool_ok, mock_tool_fail])
-        result = await handler.execute("test")
-
-        assert result.total_found == 1
-        assert "pubmed" in result.sources_searched
-        assert len(result.errors) == 1
-        # The error message format is "{tool.name}: {error!s}"
-        assert "pubmed: API down" in result.errors[0]
-
-    @pytest.mark.asyncio
-    async def test_search_handler_pubmed_only(self):
-        """SearchHandler should work with only PubMed tool."""
-        # This is the specific test requested in Phase 9 spec
-        from src.tools.pubmed import PubMedTool
-
-        mock_pubmed = AsyncMock(spec=PubMedTool)
-        mock_pubmed.name = "pubmed"
-        mock_pubmed.search.return_value = []
-
-        handler = SearchHandler(tools=[mock_pubmed], timeout=30.0)
-        result = await handler.execute("metformin diabetes", max_results_per_tool=3)
-
-        assert result.sources_searched == ["pubmed"]
-        assert "web" not in result.sources_searched
-        assert len(result.errors) == 0
-
-    @pytest.mark.asyncio
-    async def test_search_timeout(self):
-        """SearchHandler should raise SearchError when tool times out."""
-        import asyncio
-
-        mock_tool = AsyncMock()
-        mock_tool.name = "pubmed"
-
-        # Make search sleep longer than timeout
-        async def slow_search(query: str, max_results: int) -> list[Evidence]:
-            await asyncio.sleep(1.0)  # Longer than 0.1s timeout
-            return []
-
-        mock_tool.search = slow_search
-
-        handler = SearchHandler(tools=[mock_tool], timeout=0.1)
-        result = await handler.execute("test query")
-
-        # Should have error for timed out tool
-        assert len(result.errors) == 1
-        assert "timed out" in result.errors[0].lower()
-        assert result.total_found == 0
-
-    @pytest.mark.asyncio
-    async def test_execute_with_multiple_different_tools(self):
-        """SearchHandler should execute multiple different tools in parallel."""
-        from src.tools.europepmc import EuropePMCTool
-        from src.tools.pubmed import PubMedTool
-
-        mock_pubmed = AsyncMock(spec=PubMedTool)
-        mock_pubmed.name = "pubmed"
-        mock_pubmed.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="PubMed result",
-                    citation=Citation(source="pubmed", title="T1", url="u1", date="2024"),
-                )
-            ]
-        )
-
-        mock_europepmc = AsyncMock(spec=EuropePMCTool)
-        mock_europepmc.name = "europepmc"
-        mock_europepmc.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Europe PMC result",
-                    citation=Citation(source="europepmc", title="T2", url="u2", date="2024"),
-                )
-            ]
-        )
-
-        handler = SearchHandler(tools=[mock_pubmed, mock_europepmc])
-        result = await handler.execute("test query")
-
-        assert result.total_found == 2
-        assert "pubmed" in result.sources_searched
-        assert "europepmc" in result.sources_searched
-        assert len(result.errors) == 0
-
-        # Verify both tools were called
-        mock_pubmed.search.assert_called_once()
-        mock_europepmc.search.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_execute_with_empty_tools_list(self):
-        """SearchHandler should handle empty tools list gracefully."""
-        handler = SearchHandler(tools=[])
-        result = await handler.execute("test query")
-
-        assert result.total_found == 0
-        assert result.sources_searched == []
-        assert len(result.errors) == 0
-
-    @pytest.mark.asyncio
-    async def test_execute_with_all_tools_failing(self):
-        """SearchHandler should return errors when all tools fail."""
-        mock_tool_1 = AsyncMock()
-        mock_tool_1.name = "pubmed"
-        mock_tool_1.search = AsyncMock(side_effect=SearchError("Tool 1 failed"))
-
-        mock_tool_2 = AsyncMock()
-        mock_tool_2.name = "europepmc"
-        mock_tool_2.search = AsyncMock(side_effect=SearchError("Tool 2 failed"))
-
-        handler = SearchHandler(tools=[mock_tool_1, mock_tool_2])
-        result = await handler.execute("test query")
-
-        assert result.total_found == 0
-        assert len(result.errors) == 2
-        assert "pubmed" in result.errors[0].lower()
-        assert "europepmc" in result.errors[1].lower()
-        assert result.sources_searched == []
-
-    @pytest.mark.asyncio
-    async def test_execute_preserves_tool_order(self):
-        """SearchHandler should preserve tool order in sources_searched."""
-        mock_tool_1 = AsyncMock()
-        mock_tool_1.name = "pubmed"
-        mock_tool_1.search = AsyncMock(return_value=[])
-
-        mock_tool_2 = AsyncMock()
-        mock_tool_2.name = "europepmc"
-        mock_tool_2.search = AsyncMock(return_value=[])
-
-        mock_tool_3 = AsyncMock()
-        mock_tool_3.name = "clinicaltrials"
-        mock_tool_3.search = AsyncMock(return_value=[])
-
-        handler = SearchHandler(tools=[mock_tool_1, mock_tool_2, mock_tool_3])
-        result = await handler.execute("test query")
-
-        # Should preserve order
-        assert result.sources_searched == ["pubmed", "europepmc", "clinicaltrials"]
diff --git a/tests/unit/tools/test_tool_executor.py b/tests/unit/tools/test_tool_executor.py
deleted file mode 100644
index bf7524045e2843f94c52db32d1c3b7d410e714ad..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_tool_executor.py
+++ /dev/null
@@ -1,320 +0,0 @@
-"""Unit tests for tool executor with RAGAgent support."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.tools.tool_executor import (
-    _evidence_to_text,
-    _get_rag_tool,
-    execute_agent_task,
-    execute_tool_tasks,
-)
-from src.utils.exceptions import ConfigurationError
-from src.utils.models import AgentTask, Citation, Evidence, ToolAgentOutput
-
-
-class TestEvidenceToText:
-    """Tests for _evidence_to_text helper function."""
-
-    def test_evidence_to_text_formats_correctly(self):
-        """_evidence_to_text should format Evidence objects with citations."""
-        evidence_list = [
-            Evidence(
-                content="First piece of evidence",
-                citation=Citation(
-                    source="rag",
-                    title="First Title",
-                    url="https://example.com/1",
-                    date="2024-01-15",
-                    authors=["Author A"],
-                ),
-                relevance=0.9,
-            ),
-            Evidence(
-                content="Second piece of evidence",
-                citation=Citation(
-                    source="rag",
-                    title="Second Title",
-                    url="https://example.com/2",
-                    date="2024-01-16",
-                    authors=["Author B", "Author C"],
-                ),
-                relevance=0.8,
-            ),
-        ]
-
-        result = _evidence_to_text(evidence_list)
-
-        assert "[1]" in result
-        assert "First Title" in result
-        assert "https://example.com/1" in result
-        assert "First piece of evidence" in result
-        assert "[2]" in result
-        assert "Second Title" in result
-        assert "https://example.com/2" in result
-        assert "Second piece of evidence" in result
-        assert "---" in result  # Separator
-
-    def test_evidence_to_text_empty_list(self):
-        """_evidence_to_text should handle empty list."""
-        result = _evidence_to_text([])
-        assert result == "No evidence found."
-
-
-class TestGetRAGTool:
-    """Tests for _get_rag_tool helper function."""
-
-    @patch("src.tools.tool_executor.create_rag_tool")
-    def test_get_rag_tool_creates_tool(self, mock_create):
-        """_get_rag_tool should create RAG tool on first call."""
-        mock_tool = MagicMock()
-        mock_create.return_value = mock_tool
-
-        # Reset global state
-        import src.tools.tool_executor as module
-
-        module._rag_tool = None
-
-        result = _get_rag_tool()
-
-        assert result == mock_tool
-        mock_create.assert_called_once()
-
-    @patch("src.tools.tool_executor.create_rag_tool")
-    def test_get_rag_tool_returns_cached(self, mock_create):
-        """_get_rag_tool should return cached tool on subsequent calls."""
-        mock_tool = MagicMock()
-        mock_create.return_value = mock_tool
-
-        # Reset global state
-        import src.tools.tool_executor as module
-
-        module._rag_tool = None
-
-        # First call
-        result1 = _get_rag_tool()
-        # Second call
-        result2 = _get_rag_tool()
-
-        assert result1 == result2
-        assert mock_create.call_count == 1  # Only called once
-
-    @patch("src.tools.tool_executor.create_rag_tool")
-    def test_get_rag_tool_handles_configuration_error(self, mock_create):
-        """_get_rag_tool should return None if RAG unavailable."""
-        mock_create.side_effect = ConfigurationError("OPENAI_API_KEY required")
-
-        # Reset global state
-        import src.tools.tool_executor as module
-
-        module._rag_tool = None
-
-        result = _get_rag_tool()
-
-        assert result is None
-
-
-class TestExecuteAgentTaskRAGAgent:
-    """Tests for execute_agent_task with RAGAgent."""
-
-    @pytest.mark.asyncio
-    async def test_execute_rag_agent_success(self):
-        """execute_agent_task should execute RAGAgent and return ToolAgentOutput."""
-        # Mock RAG tool
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Test evidence content",
-                    citation=Citation(
-                        source="rag",
-                        title="Test Title",
-                        url="https://example.com/test",
-                        date="2024",
-                        authors=["Author"],
-                    ),
-                    relevance=0.9,
-                )
-            ]
-        )
-
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            task = AgentTask(
-                agent="RAGAgent",
-                query="test query",
-                gap="test gap",
-            )
-
-            result = await execute_agent_task(task)
-
-            assert isinstance(result, ToolAgentOutput)
-            assert "Test evidence content" in result.output
-            assert "Test Title" in result.output
-            assert "https://example.com/test" in result.sources
-            mock_rag_tool.search.assert_called_once_with("test query", max_results=10)
-
-    @pytest.mark.asyncio
-    async def test_execute_rag_agent_empty_results(self):
-        """execute_agent_task should handle empty RAG results."""
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(return_value=[])
-
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            task = AgentTask(agent="RAGAgent", query="test", gap="gap")
-
-            result = await execute_agent_task(task)
-
-            assert isinstance(result, ToolAgentOutput)
-            assert "No relevant evidence found" in result.output
-            assert result.sources == []
-
-    @pytest.mark.asyncio
-    async def test_execute_rag_agent_unavailable(self):
-        """execute_agent_task should handle RAG service unavailable."""
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=None):
-            task = AgentTask(agent="RAGAgent", query="test", gap="gap")
-
-            result = await execute_agent_task(task)
-
-            assert isinstance(result, ToolAgentOutput)
-            assert "RAG service unavailable" in result.output
-            assert "OPENAI_API_KEY required" in result.output
-            assert result.sources == []
-
-    @pytest.mark.asyncio
-    async def test_execute_rag_agent_extracts_urls(self):
-        """execute_agent_task should extract URLs from evidence citations."""
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="Content 1",
-                    citation=Citation(
-                        source="rag",
-                        title="Title 1",
-                        url="https://example.com/1",
-                        date="2024",
-                        authors=[],
-                    ),
-                ),
-                Evidence(
-                    content="Content 2",
-                    citation=Citation(
-                        source="rag",
-                        title="Title 2",
-                        url="https://example.com/2",
-                        date="2024",
-                        authors=[],
-                    ),
-                ),
-                Evidence(
-                    content="Content 3",
-                    citation=Citation(
-                        source="rag",
-                        title="Title 3",
-                        url="",  # No URL
-                        date="2024",
-                        authors=[],
-                    ),
-                ),
-            ]
-        )
-
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            task = AgentTask(agent="RAGAgent", query="test", gap="gap")
-
-            result = await execute_agent_task(task)
-
-            assert "https://example.com/1" in result.sources
-            assert "https://example.com/2" in result.sources
-            assert len(result.sources) == 2  # Only URLs with values
-
-    @pytest.mark.asyncio
-    async def test_execute_rag_agent_handles_error(self):
-        """execute_agent_task should handle RAG search errors gracefully."""
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(side_effect=Exception("RAG error"))
-
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            task = AgentTask(agent="RAGAgent", query="test", gap="gap")
-
-            result = await execute_agent_task(task)
-
-            assert isinstance(result, ToolAgentOutput)
-            assert "Error executing" in result.output
-            assert "RAGAgent" in result.output
-
-
-class TestExecuteToolTasksRAGAgent:
-    """Tests for execute_tool_tasks with RAGAgent tasks."""
-
-    @pytest.mark.asyncio
-    async def test_execute_tool_tasks_with_rag_agent(self):
-        """execute_tool_tasks should handle RAGAgent tasks."""
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="RAG result",
-                    citation=Citation(
-                        source="rag",
-                        title="RAG Title",
-                        url="https://rag.example.com",
-                        date="2024",
-                        authors=[],
-                    ),
-                )
-            ]
-        )
-
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            tasks = [
-                AgentTask(agent="RAGAgent", query="test query", gap="gap1"),
-            ]
-
-            results = await execute_tool_tasks(tasks)
-
-            assert len(results) == 1
-            assert "RAGAgent" in next(iter(results.keys()))
-            assert "RAG result" in next(iter(results.values())).output
-
-    @pytest.mark.asyncio
-    async def test_execute_tool_tasks_mixed_agents(self):
-        """execute_tool_tasks should handle mixed agent types."""
-        # Mock RAG tool
-        mock_rag_tool = MagicMock()
-        mock_rag_tool.search = AsyncMock(
-            return_value=[
-                Evidence(
-                    content="RAG content",
-                    citation=Citation(
-                        source="rag",
-                        title="RAG",
-                        url="https://rag.com",
-                        date="2024",
-                        authors=[],
-                    ),
-                )
-            ]
-        )
-
-        # Mock web search
-        with patch("src.tools.tool_executor._get_rag_tool", return_value=mock_rag_tool):
-            with patch("src.tools.tool_executor.web_search", new_callable=AsyncMock) as mock_web:
-                mock_web.return_value = "Web search result"
-
-                tasks = [
-                    AgentTask(agent="RAGAgent", query="rag query", gap="gap1"),
-                    AgentTask(agent="WebSearchAgent", query="web query", gap="gap2"),
-                ]
-
-                results = await execute_tool_tasks(tasks)
-
-                assert len(results) == 2
-                # Check RAG result
-                rag_key = next(k for k in results.keys() if "RAGAgent" in k)
-                assert "RAG content" in results[rag_key].output
-                # Check web search result
-                web_key = next(k for k in results.keys() if "WebSearchAgent" in k)
-                assert "Web search result" in results[web_key].output
diff --git a/tests/unit/tools/test_web_search.py b/tests/unit/tools/test_web_search.py
deleted file mode 100644
index d0a49ef84ea161cab9d6f31b42c45a5a3120b309..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_web_search.py
+++ /dev/null
@@ -1,195 +0,0 @@
-"""Unit tests for WebSearchTool."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-# Mock dependencies before importing to avoid import errors
-import sys
-sys.modules["neo4j"] = MagicMock()
-sys.modules["neo4j"].GraphDatabase = MagicMock()
-
-# Mock ddgs/duckduckgo_search
-# Create a proper mock structure to avoid "ddgs.ddgs" import errors
-mock_ddgs_module = MagicMock()
-mock_ddgs_submodule = MagicMock()
-# Create a mock DDGS class that can be instantiated
-class MockDDGS:
-    def __init__(self, *args, **kwargs):
-        pass
-    def text(self, *args, **kwargs):
-        return []
-
-mock_ddgs_submodule.DDGS = MockDDGS
-mock_ddgs_module.ddgs = mock_ddgs_submodule
-mock_ddgs_module.DDGS = MockDDGS
-sys.modules["ddgs"] = mock_ddgs_module
-sys.modules["ddgs.ddgs"] = mock_ddgs_submodule
-sys.modules["duckduckgo_search"] = MagicMock()
-sys.modules["duckduckgo_search"].DDGS = MockDDGS
-
-from src.tools.web_search import WebSearchTool
-from src.utils.exceptions import SearchError
-from src.utils.models import Citation, Evidence
-
-
-class TestWebSearchTool:
-    """Tests for WebSearchTool class."""
-
-    @pytest.fixture
-    def web_search_tool(self) -> WebSearchTool:
-        """Create a WebSearchTool instance."""
-        return WebSearchTool()
-
-    def test_name_property(self, web_search_tool: WebSearchTool) -> None:
-        """Should return correct tool name."""
-        assert web_search_tool.name == "duckduckgo"
-
-    @pytest.mark.asyncio
-    async def test_search_success(self, web_search_tool: WebSearchTool) -> None:
-        """Should return evidence from successful search."""
-        mock_results = [
-            {
-                "title": "Test Title 1",
-                "body": "Test content 1",
-                "href": "https://example.com/1",
-            },
-            {
-                "title": "Test Title 2",
-                "body": "Test content 2",
-                "href": "https://example.com/2",
-            },
-        ]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert len(evidence) == 2
-                assert isinstance(evidence[0], Evidence)
-                assert evidence[0].citation.title == "Test Title 1"
-                assert evidence[0].citation.url == "https://example.com/1"
-                assert evidence[0].citation.source == "web"
-
-    @pytest.mark.asyncio
-    async def test_search_title_truncation_500_chars(self, web_search_tool: WebSearchTool) -> None:
-        """Should truncate titles longer than 500 characters."""
-        long_title = "A" * 600  # 600 characters
-        mock_results = [
-            {
-                "title": long_title,
-                "body": "Test content",
-                "href": "https://example.com/1",
-            },
-        ]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert len(evidence) == 1
-                truncated_title = evidence[0].citation.title
-                assert len(truncated_title) == 500  # Should be exactly 500 chars
-                assert truncated_title.endswith("...")  # Should end with ellipsis
-                assert truncated_title.startswith("A")  # Should start with original content
-
-    @pytest.mark.asyncio
-    async def test_search_title_truncation_exactly_500_chars(self, web_search_tool: WebSearchTool) -> None:
-        """Should not truncate titles that are exactly 500 characters."""
-        exact_title = "A" * 500  # Exactly 500 characters
-        mock_results = [
-            {
-                "title": exact_title,
-                "body": "Test content",
-                "href": "https://example.com/1",
-            },
-        ]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert len(evidence) == 1
-                title = evidence[0].citation.title
-                assert len(title) == 500
-                assert title == exact_title  # Should be unchanged
-
-    @pytest.mark.asyncio
-    async def test_search_title_truncation_501_chars(self, web_search_tool: WebSearchTool) -> None:
-        """Should truncate titles that are 501 characters."""
-        long_title = "A" * 501  # 501 characters
-        mock_results = [
-            {
-                "title": long_title,
-                "body": "Test content",
-                "href": "https://example.com/1",
-            },
-        ]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert len(evidence) == 1
-                truncated_title = evidence[0].citation.title
-                assert len(truncated_title) == 500
-                assert truncated_title.endswith("...")
-
-    @pytest.mark.asyncio
-    async def test_search_missing_title(self, web_search_tool: WebSearchTool) -> None:
-        """Should handle missing title gracefully."""
-        mock_results = [
-            {
-                "body": "Test content",
-                "href": "https://example.com/1",
-            },
-        ]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert len(evidence) == 1
-                assert evidence[0].citation.title == "No Title"
-
-    @pytest.mark.asyncio
-    async def test_search_empty_results(self, web_search_tool: WebSearchTool) -> None:
-        """Should return empty list for no results."""
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter([])):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                evidence = await web_search_tool.search("test query", max_results=10)
-                
-                assert evidence == []
-
-    @pytest.mark.asyncio
-    async def test_search_raises_search_error(self, web_search_tool: WebSearchTool) -> None:
-        """Should raise SearchError on exception."""
-        with patch.object(web_search_tool._ddgs, "text", side_effect=Exception("API error")):
-            with patch("src.tools.web_search.preprocess_query", return_value="clean query"):
-                with pytest.raises(SearchError, match="DuckDuckGo search failed"):
-                    await web_search_tool.search("test query", max_results=10)
-
-    @pytest.mark.asyncio
-    async def test_search_uses_preprocessed_query(self, web_search_tool: WebSearchTool) -> None:
-        """Should use preprocessed query for search."""
-        mock_results = [{"title": "Test", "body": "Content", "href": "https://example.com"}]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)) as mock_text:
-            with patch("src.tools.web_search.preprocess_query", return_value="preprocessed query"):
-                await web_search_tool.search("original query", max_results=5)
-                
-                # Should call text with preprocessed query
-                mock_text.assert_called_once_with("preprocessed query", max_results=5)
-
-    @pytest.mark.asyncio
-    async def test_search_falls_back_to_original_query(self, web_search_tool: WebSearchTool) -> None:
-        """Should fall back to original query if preprocessing returns empty."""
-        mock_results = [{"title": "Test", "body": "Content", "href": "https://example.com"}]
-        
-        with patch.object(web_search_tool._ddgs, "text", return_value=iter(mock_results)) as mock_text:
-            with patch("src.tools.web_search.preprocess_query", return_value=""):
-                await web_search_tool.search("original query", max_results=5)
-                
-                # Should call text with original query
-                mock_text.assert_called_once_with("original query", max_results=5)
-
diff --git a/tests/unit/tools/test_websearch_removed.py b/tests/unit/tools/test_websearch_removed.py
deleted file mode 100644
index e35eac5b918329cd8ee9004b461cbf38870d102b..0000000000000000000000000000000000000000
--- a/tests/unit/tools/test_websearch_removed.py
+++ /dev/null
@@ -1,6 +0,0 @@
-def test_websearch_module_deleted():
-    """WebTool should no longer exist."""
-    import pytest
-
-    with pytest.raises(ImportError):
-        from src.tools.websearch import WebTool  # noqa: F401
diff --git a/tests/unit/utils/__init__.py b/tests/unit/utils/__init__.py
deleted file mode 100644
index 45341ee763fcdb85a06a49932eb900b014d0cede..0000000000000000000000000000000000000000
--- a/tests/unit/utils/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-"""Unit tests for utility modules."""
diff --git a/tests/unit/utils/test_config.py b/tests/unit/utils/test_config.py
deleted file mode 100644
index a3bc95b06195b1712845d1311164c84b0aa68282..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_config.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""Unit tests for configuration loading."""
-
-import os
-from unittest.mock import patch
-
-import pytest
-from pydantic import ValidationError
-
-from src.utils.config import Settings
-from src.utils.exceptions import ConfigurationError
-
-
-class TestSettings:
-    """Tests for Settings class.
-
-    Note: We use _env_file=None to disable .env file reading in tests.
-    This ensures tests are isolated from the developer's local .env file.
-    pydantic-settings reads from both os.environ AND .env file by default.
-    """
-
-    def test_default_max_iterations(self) -> None:
-        """Settings should have default max_iterations of 10."""
-        with patch.dict(os.environ, {}, clear=True):
-            settings = Settings(_env_file=None)
-            assert settings.max_iterations == 10  # noqa: PLR2004
-
-    def test_max_iterations_from_env(self) -> None:
-        """Settings should read MAX_ITERATIONS from env."""
-        with patch.dict(os.environ, {"MAX_ITERATIONS": "25"}, clear=True):
-            settings = Settings(_env_file=None)
-            assert settings.max_iterations == 25  # noqa: PLR2004
-
-    def test_invalid_max_iterations_raises(self) -> None:
-        """Settings should reject invalid max_iterations."""
-        with patch.dict(os.environ, {"MAX_ITERATIONS": "100"}, clear=True):
-            with pytest.raises(ValidationError):
-                Settings(_env_file=None)  # 100 > 50 (max)
-
-    def test_get_api_key_openai(self) -> None:
-        """get_api_key should return OpenAI key when provider is openai."""
-        with patch.dict(
-            os.environ,
-            {"LLM_PROVIDER": "openai", "OPENAI_API_KEY": "sk-test-key"},
-            clear=True,
-        ):
-            settings = Settings(_env_file=None)
-            assert settings.get_api_key() == "sk-test-key"
-
-    def test_get_api_key_openai_missing_raises(self) -> None:
-        """get_api_key should raise ConfigurationError when OpenAI key is not set."""
-        with patch.dict(os.environ, {"LLM_PROVIDER": "openai"}, clear=True):
-            settings = Settings(_env_file=None)
-            with pytest.raises(ConfigurationError, match="OPENAI_API_KEY not set"):
-                settings.get_api_key()
-
-    def test_get_api_key_anthropic(self) -> None:
-        """get_api_key should return Anthropic key when provider is anthropic."""
-        with patch.dict(
-            os.environ,
-            {"LLM_PROVIDER": "anthropic", "ANTHROPIC_API_KEY": "sk-ant-test-key"},
-            clear=True,
-        ):
-            settings = Settings(_env_file=None)
-            assert settings.get_api_key() == "sk-ant-test-key"
-
-    def test_get_api_key_anthropic_missing_raises(self) -> None:
-        """get_api_key should raise ConfigurationError when Anthropic key is not set."""
-        with patch.dict(os.environ, {"LLM_PROVIDER": "anthropic"}, clear=True):
-            settings = Settings(_env_file=None)
-            with pytest.raises(ConfigurationError, match="ANTHROPIC_API_KEY not set"):
-                settings.get_api_key()
diff --git a/tests/unit/utils/test_exceptions.py b/tests/unit/utils/test_exceptions.py
deleted file mode 100644
index d53305e007318cd1859065580e3e1d4a419e8551..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_exceptions.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""Unit tests for custom exceptions."""
-
-from src.utils.exceptions import (
-    ConfigurationError,
-    DeepCriticalError,
-    JudgeError,
-    RateLimitError,
-    SearchError,
-)
-
-
-class TestExceptions:
-    """Tests for exception hierarchy."""
-
-    def test_search_error_is_deepcritical_error(self):
-        assert issubclass(SearchError, DeepCriticalError)
-
-    def test_rate_limit_error_is_search_error(self):
-        assert issubclass(RateLimitError, SearchError)
-
-    def test_judge_error_is_deepcritical_error(self):
-        assert issubclass(JudgeError, DeepCriticalError)
-
-    def test_configuration_error_is_deepcritical_error(self):
-        assert issubclass(ConfigurationError, DeepCriticalError)
-
-    def test_subclass_caught_as_base(self):
-        """Verify subclasses can be caught via DeepCriticalError."""
-        try:
-            raise RateLimitError("rate limited")
-        except DeepCriticalError as exc:
-            assert isinstance(exc, RateLimitError)
-            assert isinstance(exc, DeepCriticalError)
diff --git a/tests/unit/utils/test_hf_error_handler.py b/tests/unit/utils/test_hf_error_handler.py
deleted file mode 100644
index cd7df2c2b9dc60de84f1b63b6674c217b6a1041f..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_hf_error_handler.py
+++ /dev/null
@@ -1,239 +0,0 @@
-"""Unit tests for HuggingFace error handling utilities."""
-
-from unittest.mock import patch
-
-import pytest
-
-from src.utils.hf_error_handler import (
-    extract_error_details,
-    get_fallback_models,
-    get_user_friendly_error_message,
-    log_token_info,
-    should_retry_with_fallback,
-    validate_hf_token,
-)
-
-
-class TestExtractErrorDetails:
-    """Tests for extract_error_details function."""
-
-    def test_extract_403_error(self) -> None:
-        """Should extract 403 error details correctly."""
-        error = Exception("status_code: 403, model_name: Qwen/Qwen3-Next-80B-A3B-Thinking, body: Forbidden")
-        details = extract_error_details(error)
-        
-        assert details["status_code"] == 403
-        assert details["model_name"] == "Qwen/Qwen3-Next-80B-A3B-Thinking"
-        assert details["body"] == "Forbidden"
-        assert details["error_type"] == "http_403"
-        assert details["is_auth_error"] is True
-        assert details["is_model_error"] is False
-
-    def test_extract_422_error(self) -> None:
-        """Should extract 422 error details correctly."""
-        error = Exception("status_code: 422, model_name: meta-llama/Llama-3.1-70B-Instruct, body: Unprocessable Entity")
-        details = extract_error_details(error)
-        
-        assert details["status_code"] == 422
-        assert details["model_name"] == "meta-llama/Llama-3.1-70B-Instruct"
-        assert details["body"] == "Unprocessable Entity"
-        assert details["error_type"] == "http_422"
-        assert details["is_auth_error"] is False
-        assert details["is_model_error"] is True
-
-    def test_extract_partial_error(self) -> None:
-        """Should handle partial error information."""
-        error = Exception("status_code: 500")
-        details = extract_error_details(error)
-        
-        assert details["status_code"] == 500
-        assert details["model_name"] is None
-        assert details["body"] is None
-        assert details["error_type"] == "http_500"
-        assert details["is_auth_error"] is False
-        assert details["is_model_error"] is False
-
-    def test_extract_generic_error(self) -> None:
-        """Should handle generic errors without status codes."""
-        error = Exception("Something went wrong")
-        details = extract_error_details(error)
-        
-        assert details["status_code"] is None
-        assert details["model_name"] is None
-        assert details["body"] is None
-        assert details["error_type"] == "unknown"
-        assert details["is_auth_error"] is False
-        assert details["is_model_error"] is False
-
-
-class TestGetUserFriendlyErrorMessage:
-    """Tests for get_user_friendly_error_message function."""
-
-    def test_403_error_message(self) -> None:
-        """Should generate user-friendly 403 error message."""
-        error = Exception("status_code: 403, model_name: Qwen/Qwen3-Next-80B-A3B-Thinking, body: Forbidden")
-        message = get_user_friendly_error_message(error)
-        
-        assert "Authentication Error" in message
-        assert "inference-api" in message
-        assert "Qwen/Qwen3-Next-80B-A3B-Thinking" in message
-        assert "Forbidden" in message
-
-    def test_422_error_message(self) -> None:
-        """Should generate user-friendly 422 error message."""
-        error = Exception("status_code: 422, model_name: meta-llama/Llama-3.1-70B-Instruct, body: Unprocessable Entity")
-        message = get_user_friendly_error_message(error)
-        
-        assert "Model Compatibility Error" in message
-        assert "meta-llama/Llama-3.1-70B-Instruct" in message
-        assert "Unprocessable Entity" in message
-
-    def test_generic_error_message(self) -> None:
-        """Should generate generic error message for unknown errors."""
-        error = Exception("Something went wrong")
-        message = get_user_friendly_error_message(error)
-        
-        assert "API Error" in message
-        assert "Something went wrong" in message
-
-    def test_error_message_with_model_name_param(self) -> None:
-        """Should use provided model_name parameter when not in error."""
-        error = Exception("status_code: 403, body: Forbidden")
-        message = get_user_friendly_error_message(error, model_name="test-model")
-        
-        assert "test-model" in message
-
-
-class TestValidateHfToken:
-    """Tests for validate_hf_token function."""
-
-    def test_valid_token(self) -> None:
-        """Should validate a valid token."""
-        token = "hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
-        is_valid, error_msg = validate_hf_token(token)
-        
-        assert is_valid is True
-        assert error_msg is None
-
-    def test_none_token(self) -> None:
-        """Should reject None token."""
-        is_valid, error_msg = validate_hf_token(None)
-        
-        assert is_valid is False
-        assert "None or empty" in error_msg
-
-    def test_empty_token(self) -> None:
-        """Should reject empty token."""
-        is_valid, error_msg = validate_hf_token("")
-        
-        assert is_valid is False
-        assert "None or empty" in error_msg
-
-    def test_non_string_token(self) -> None:
-        """Should reject non-string token."""
-        is_valid, error_msg = validate_hf_token(123)  # type: ignore[arg-type]
-        
-        assert is_valid is False
-        assert "not a string" in error_msg
-
-    def test_short_token(self) -> None:
-        """Should reject token that's too short."""
-        is_valid, error_msg = validate_hf_token("hf_123")
-        
-        assert is_valid is False
-        assert "too short" in error_msg
-
-    def test_oauth_token_format(self) -> None:
-        """Should accept OAuth tokens (may not start with hf_)."""
-        # OAuth tokens may have different formats
-        token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ"
-        is_valid, error_msg = validate_hf_token(token)
-        
-        assert is_valid is True
-        assert error_msg is None
-
-
-class TestLogTokenInfo:
-    """Tests for log_token_info function."""
-
-    @patch("src.utils.hf_error_handler.logger")
-    def test_log_valid_token(self, mock_logger) -> None:
-        """Should log token info for valid token."""
-        token = "hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
-        log_token_info(token, context="test")
-        
-        mock_logger.debug.assert_called_once()
-        call_args = mock_logger.debug.call_args
-        assert call_args[0][0] == "Token validation"
-        assert call_args[1]["context"] == "test"
-        assert call_args[1]["has_token"] is True
-        assert call_args[1]["is_valid"] is True
-        assert call_args[1]["token_length"] == len(token)
-        assert "token_prefix" in call_args[1]
-
-    @patch("src.utils.hf_error_handler.logger")
-    def test_log_none_token(self, mock_logger) -> None:
-        """Should log None token info."""
-        log_token_info(None, context="test")
-        
-        mock_logger.debug.assert_called_once()
-        call_args = mock_logger.debug.call_args
-        assert call_args[0][0] == "Token validation"
-        assert call_args[1]["context"] == "test"
-        assert call_args[1]["has_token"] is False
-
-
-class TestShouldRetryWithFallback:
-    """Tests for should_retry_with_fallback function."""
-
-    def test_403_error_should_retry(self) -> None:
-        """Should retry for 403 errors."""
-        error = Exception("status_code: 403, model_name: test-model, body: Forbidden")
-        assert should_retry_with_fallback(error) is True
-
-    def test_422_error_should_retry(self) -> None:
-        """Should retry for 422 errors."""
-        error = Exception("status_code: 422, model_name: test-model, body: Unprocessable Entity")
-        assert should_retry_with_fallback(error) is True
-
-    def test_model_specific_error_should_retry(self) -> None:
-        """Should retry for model-specific errors."""
-        error = Exception("status_code: 500, model_name: test-model, body: Error")
-        assert should_retry_with_fallback(error) is True
-
-    def test_generic_error_should_not_retry(self) -> None:
-        """Should not retry for generic errors without model info."""
-        error = Exception("Something went wrong")
-        assert should_retry_with_fallback(error) is False
-
-
-class TestGetFallbackModels:
-    """Tests for get_fallback_models function."""
-
-    def test_get_fallback_models_default(self) -> None:
-        """Should return default fallback models."""
-        fallbacks = get_fallback_models()
-        
-        assert len(fallbacks) > 0
-        assert "meta-llama/Llama-3.1-8B-Instruct" in fallbacks
-        assert isinstance(fallbacks, list)
-
-    def test_get_fallback_models_excludes_original(self) -> None:
-        """Should exclude original model from fallbacks."""
-        original = "meta-llama/Llama-3.1-8B-Instruct"
-        fallbacks = get_fallback_models(original_model=original)
-        
-        assert original not in fallbacks
-        assert len(fallbacks) > 0
-
-    def test_get_fallback_models_with_unknown_original(self) -> None:
-        """Should return all fallbacks if original is not in list."""
-        original = "unknown/model"
-        fallbacks = get_fallback_models(original_model=original)
-        
-        # Should still have all fallbacks since original is not in the list
-        assert len(fallbacks) >= 3  # At least 3 fallback models
-
-
-
-
diff --git a/tests/unit/utils/test_hf_model_validator.py b/tests/unit/utils/test_hf_model_validator.py
deleted file mode 100644
index 2027ff72467f3923e92c38764aa9310e2e11dfcc..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_hf_model_validator.py
+++ /dev/null
@@ -1,416 +0,0 @@
-"""Unit tests for HuggingFace model and provider validator."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from src.utils.hf_model_validator import (
-    extract_oauth_token,
-    get_available_models,
-    get_available_providers,
-    get_models_for_provider,
-    validate_model_provider_combination,
-    validate_oauth_token,
-)
-
-
-class TestExtractOAuthToken:
-    """Tests for extract_oauth_token function."""
-
-    def test_extract_from_oauth_token_object(self) -> None:
-        """Should extract token from OAuthToken object with .token attribute."""
-        mock_oauth_token = MagicMock()
-        mock_oauth_token.token = "hf_test_token_123"
-        
-        result = extract_oauth_token(mock_oauth_token)
-        
-        assert result == "hf_test_token_123"
-
-    def test_extract_from_string(self) -> None:
-        """Should return string token as-is."""
-        token = "hf_test_token_123"
-        result = extract_oauth_token(token)
-        
-        assert result == token
-
-    def test_extract_none(self) -> None:
-        """Should return None for None input."""
-        result = extract_oauth_token(None)
-        
-        assert result is None
-
-    def test_extract_invalid_object(self) -> None:
-        """Should return None for object without .token attribute."""
-        invalid_object = MagicMock()
-        del invalid_object.token  # Remove token attribute
-        
-        with patch("src.utils.hf_model_validator.logger") as mock_logger:
-            result = extract_oauth_token(invalid_object)
-            
-            assert result is None
-            mock_logger.warning.assert_called_once()
-
-
-class TestGetAvailableProviders:
-    """Tests for get_available_providers function."""
-
-    @pytest.mark.asyncio
-    async def test_get_providers_with_cache(self) -> None:
-        """Should return cached providers if available."""
-        # First call - should query API
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock model_info to return provider mapping
-            mock_model_info = MagicMock()
-            mock_model_info.inference_provider_mapping = {
-                "hf-inference": MagicMock(),
-                "nebius": MagicMock(),
-            }
-            mock_api.model_info.return_value = mock_model_info
-            
-            # Mock settings
-            with patch("src.utils.hf_model_validator.settings") as mock_settings:
-                mock_settings.get_hf_fallback_models_list.return_value = [
-                    "meta-llama/Llama-3.1-8B-Instruct"
-                ]
-                
-                providers = await get_available_providers(token="test_token")
-                
-                assert "auto" in providers
-                assert len(providers) > 1
-
-    @pytest.mark.asyncio
-    async def test_get_providers_fallback_to_known(self) -> None:
-        """Should fall back to known providers if discovery fails."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.model_info.side_effect = Exception("API error")
-            
-            with patch("src.utils.hf_model_validator.settings") as mock_settings:
-                mock_settings.get_hf_fallback_models_list.return_value = [
-                    "meta-llama/Llama-3.1-8B-Instruct"
-                ]
-                
-                providers = await get_available_providers(token="test_token")
-                
-                # Should return known providers as fallback
-                assert "auto" in providers
-                assert len(providers) > 0
-
-    @pytest.mark.asyncio
-    async def test_get_providers_no_token(self) -> None:
-        """Should work without token."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.model_info.side_effect = Exception("API error")
-            
-            with patch("src.utils.hf_model_validator.settings") as mock_settings:
-                mock_settings.get_hf_fallback_models_list.return_value = [
-                    "meta-llama/Llama-3.1-8B-Instruct"
-                ]
-                
-                providers = await get_available_providers(token=None)
-                
-                # Should return known providers as fallback
-                assert "auto" in providers
-
-
-class TestGetAvailableModels:
-    """Tests for get_available_models function."""
-
-    @pytest.mark.asyncio
-    async def test_get_models_with_token(self) -> None:
-        """Should fetch models with token."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock list_models to return model objects
-            mock_model1 = MagicMock()
-            mock_model1.id = "model1"
-            mock_model2 = MagicMock()
-            mock_model2.id = "model2"
-            mock_api.list_models.return_value = [mock_model1, mock_model2]
-            
-            models = await get_available_models(token="test_token", limit=10)
-            
-            assert len(models) == 2
-            assert "model1" in models
-            assert "model2" in models
-            mock_api.list_models.assert_called_once()
-
-    @pytest.mark.asyncio
-    async def test_get_models_with_provider_filter(self) -> None:
-        """Should filter models by provider."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            mock_model = MagicMock()
-            mock_model.id = "model1"
-            mock_api.list_models.return_value = [mock_model]
-            
-            models = await get_available_models(
-                token="test_token",
-                inference_provider="nebius",
-                limit=10,
-            )
-            
-            # Check that inference_provider was passed to list_models
-            call_kwargs = mock_api.list_models.call_args[1]
-            assert call_kwargs.get("inference_provider") == "nebius"
-
-    @pytest.mark.asyncio
-    async def test_get_models_fallback_on_error(self) -> None:
-        """Should return fallback models on error."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.list_models.side_effect = Exception("API error")
-            
-            models = await get_available_models(token="test_token", limit=10)
-            
-            # Should return fallback models
-            assert len(models) > 0
-            assert "meta-llama/Llama-3.1-8B-Instruct" in models
-
-
-class TestValidateModelProviderCombination:
-    """Tests for validate_model_provider_combination function."""
-
-    @pytest.mark.asyncio
-    async def test_validate_auto_provider(self) -> None:
-        """Should always validate 'auto' provider."""
-        is_valid, error_msg = await validate_model_provider_combination(
-            model_id="test-model",
-            provider="auto",
-            token="test_token",
-        )
-        
-        assert is_valid is True
-        assert error_msg is None
-
-    @pytest.mark.asyncio
-    async def test_validate_none_provider(self) -> None:
-        """Should validate None provider as auto."""
-        is_valid, error_msg = await validate_model_provider_combination(
-            model_id="test-model",
-            provider=None,
-            token="test_token",
-        )
-        
-        assert is_valid is True
-        assert error_msg is None
-
-    @pytest.mark.asyncio
-    async def test_validate_valid_combination(self) -> None:
-        """Should validate valid model/provider combination."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock model_info with provider mapping
-            mock_model_info = MagicMock()
-            mock_model_info.inference_provider_mapping = {
-                "nebius": MagicMock(),
-                "hf-inference": MagicMock(),
-            }
-            mock_api.model_info.return_value = mock_model_info
-            
-            is_valid, error_msg = await validate_model_provider_combination(
-                model_id="test-model",
-                provider="nebius",
-                token="test_token",
-            )
-            
-            assert is_valid is True
-            assert error_msg is None
-
-    @pytest.mark.asyncio
-    async def test_validate_invalid_combination(self) -> None:
-        """Should reject invalid model/provider combination."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock model_info with provider mapping (without requested provider)
-            mock_model_info = MagicMock()
-            mock_model_info.inference_provider_mapping = {
-                "hf-inference": MagicMock(),
-            }
-            mock_api.model_info.return_value = mock_model_info
-            
-            is_valid, error_msg = await validate_model_provider_combination(
-                model_id="test-model",
-                provider="nebius",
-                token="test_token",
-            )
-            
-            assert is_valid is False
-            assert error_msg is not None
-            assert "nebius" in error_msg
-
-    @pytest.mark.asyncio
-    async def test_validate_fireworks_variants(self) -> None:
-        """Should handle fireworks/fireworks-ai name variants."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock model_info with fireworks-ai in mapping
-            mock_model_info = MagicMock()
-            mock_model_info.inference_provider_mapping = {
-                "fireworks-ai": MagicMock(),
-            }
-            mock_api.model_info.return_value = mock_model_info
-            
-            # Should accept "fireworks" when mapping has "fireworks-ai"
-            is_valid, error_msg = await validate_model_provider_combination(
-                model_id="test-model",
-                provider="fireworks",
-                token="test_token",
-            )
-            
-            assert is_valid is True
-            assert error_msg is None
-
-    @pytest.mark.asyncio
-    async def test_validate_graceful_on_error(self) -> None:
-        """Should return valid on error (graceful degradation)."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.model_info.side_effect = Exception("API error")
-            
-            is_valid, error_msg = await validate_model_provider_combination(
-                model_id="test-model",
-                provider="nebius",
-                token="test_token",
-            )
-            
-            # Should return True to allow actual request to determine validity
-            assert is_valid is True
-
-
-class TestGetModelsForProvider:
-    """Tests for get_models_for_provider function."""
-
-    @pytest.mark.asyncio
-    async def test_get_models_for_provider(self) -> None:
-        """Should get models for specific provider."""
-        with patch("src.utils.hf_model_validator.get_available_models") as mock_get_models:
-            mock_get_models.return_value = ["model1", "model2"]
-            
-            models = await get_models_for_provider(
-                provider="nebius",
-                token="test_token",
-                limit=10,
-            )
-            
-            assert len(models) == 2
-            mock_get_models.assert_called_once_with(
-                token="test_token",
-                task="text-generation",
-                limit=10,
-                inference_provider="nebius",
-            )
-
-    @pytest.mark.asyncio
-    async def test_get_models_normalize_fireworks(self) -> None:
-        """Should normalize 'fireworks' to 'fireworks-ai'."""
-        with patch("src.utils.hf_model_validator.get_available_models") as mock_get_models:
-            mock_get_models.return_value = ["model1"]
-            
-            models = await get_models_for_provider(
-                provider="fireworks",
-                token="test_token",
-            )
-            
-            # Should call with "fireworks-ai" not "fireworks"
-            call_kwargs = mock_get_models.call_args[1]
-            assert call_kwargs["inference_provider"] == "fireworks-ai"
-
-
-class TestValidateOAuthToken:
-    """Tests for validate_oauth_token function."""
-
-    @pytest.mark.asyncio
-    async def test_validate_none_token(self) -> None:
-        """Should return invalid for None token."""
-        result = await validate_oauth_token(None)
-        
-        assert result["is_valid"] is False
-        assert result["error"] == "No token provided"
-
-    @pytest.mark.asyncio
-    async def test_validate_invalid_format(self) -> None:
-        """Should return invalid for malformed token."""
-        result = await validate_oauth_token("short")
-        
-        assert result["is_valid"] is False
-        assert "Invalid token format" in result["error"]
-
-    @pytest.mark.asyncio
-    async def test_validate_valid_token(self) -> None:
-        """Should validate valid token and return resources."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            
-            # Mock whoami to return user info
-            mock_api.whoami.return_value = {"name": "testuser", "fullname": "Test User"}
-            
-            # Mock get_available_models and get_available_providers
-            with patch("src.utils.hf_model_validator.get_available_models") as mock_get_models, \
-                 patch("src.utils.hf_model_validator.get_available_providers") as mock_get_providers:
-                mock_get_models.return_value = ["model1", "model2"]
-                mock_get_providers.return_value = ["auto", "nebius"]
-                
-                result = await validate_oauth_token("hf_valid_token_123")
-                
-                assert result["is_valid"] is True
-                assert result["username"] == "testuser"
-                assert result["has_inference_api_scope"] is True
-                assert len(result["available_models"]) == 2
-                assert len(result["available_providers"]) == 2
-
-    @pytest.mark.asyncio
-    async def test_validate_token_without_scope(self) -> None:
-        """Should detect missing inference-api scope."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.whoami.return_value = {"name": "testuser"}
-            
-            # Mock get_available_models to fail (no scope)
-            with patch("src.utils.hf_model_validator.get_available_models") as mock_get_models, \
-                 patch("src.utils.hf_model_validator.get_available_providers") as mock_get_providers:
-                mock_get_models.side_effect = Exception("403 Forbidden")
-                mock_get_providers.return_value = ["auto"]
-                
-                result = await validate_oauth_token("hf_token_without_scope")
-                
-                assert result["is_valid"] is True  # Token is valid
-                assert result["has_inference_api_scope"] is False  # But no scope
-                assert "inference-api scope" in result["error"]
-
-    @pytest.mark.asyncio
-    async def test_validate_invalid_token(self) -> None:
-        """Should return invalid for token that fails authentication."""
-        with patch("src.utils.hf_model_validator.HfApi") as mock_api_class:
-            mock_api = MagicMock()
-            mock_api_class.return_value = mock_api
-            mock_api.whoami.side_effect = Exception("401 Unauthorized")
-            
-            result = await validate_oauth_token("hf_invalid_token")
-            
-            assert result["is_valid"] is False
-            assert "could not authenticate" in result["error"]
-
-
-
-
diff --git a/tests/unit/utils/test_huggingface_chat_client.py b/tests/unit/utils/test_huggingface_chat_client.py
deleted file mode 100644
index 2bb9646c397b237c6c88e2556036f7b43e5edd6c..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_huggingface_chat_client.py
+++ /dev/null
@@ -1,177 +0,0 @@
-"""Unit tests for HuggingFaceChatClient."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-from src.utils.exceptions import ConfigurationError
-from src.utils.huggingface_chat_client import HuggingFaceChatClient
-
-
-@pytest.mark.unit
-class TestHuggingFaceChatClient:
-    """Unit tests for HuggingFaceChatClient."""
-
-    def test_init_with_defaults(self):
-        """Test initialization with default parameters."""
-        with patch("src.utils.huggingface_chat_client.InferenceClient") as mock_client:
-            client = HuggingFaceChatClient()
-            assert client.model_name == "meta-llama/Llama-3.1-8B-Instruct"
-            assert client.provider == "auto"
-            mock_client.assert_called_once_with(
-                model="meta-llama/Llama-3.1-8B-Instruct",
-                api_key=None,
-                provider="auto",
-            )
-
-    def test_init_with_custom_params(self):
-        """Test initialization with custom parameters."""
-        with patch("src.utils.huggingface_chat_client.InferenceClient") as mock_client:
-            client = HuggingFaceChatClient(
-                model_name="meta-llama/Llama-3.1-70B-Instruct",
-                api_key="hf_test_token",
-                provider="together",
-            )
-            assert client.model_name == "meta-llama/Llama-3.1-70B-Instruct"
-            assert client.provider == "together"
-            mock_client.assert_called_once_with(
-                model="meta-llama/Llama-3.1-70B-Instruct",
-                api_key="hf_test_token",
-                provider="together",
-            )
-
-    def test_init_failure(self):
-        """Test initialization failure handling."""
-        with patch(
-            "src.utils.huggingface_chat_client.InferenceClient",
-            side_effect=Exception("Connection failed"),
-        ):
-            with pytest.raises(ConfigurationError, match="Failed to initialize"):
-                HuggingFaceChatClient()
-
-    @pytest.mark.asyncio
-    async def test_chat_completion_basic(self):
-        """Test basic chat completion without tools."""
-        mock_response = MagicMock()
-        mock_response.choices = [
-            MagicMock(
-                message=MagicMock(
-                    role="assistant",
-                    content="Hello! How can I help you?",
-                    tool_calls=None,
-                ),
-            ),
-        ]
-
-        with patch("src.utils.huggingface_chat_client.InferenceClient") as mock_client_class:
-            mock_client = MagicMock()
-            mock_client.chat_completion.return_value = mock_response
-            mock_client_class.return_value = mock_client
-
-            client = HuggingFaceChatClient()
-            messages = [{"role": "user", "content": "Hello"}]
-
-            # Mock run_in_executor to call the lambda directly
-            async def mock_run_in_executor(executor, func, *args):
-                return func()
-
-            with patch("asyncio.get_running_loop") as mock_loop:
-                mock_loop.return_value.run_in_executor = mock_run_in_executor
-
-                response = await client.chat_completion(messages=messages)
-
-                assert response == mock_response
-                mock_client.chat_completion.assert_called_once_with(
-                    messages=messages,
-                    tools=None,
-                    tool_choice=None,
-                    temperature=None,
-                    max_tokens=None,
-                )
-
-    @pytest.mark.asyncio
-    async def test_chat_completion_with_tools(self):
-        """Test chat completion with function calling tools."""
-        mock_tool_call = MagicMock()
-        mock_tool_call.function.name = "search_pubmed"
-        mock_tool_call.function.arguments = '{"query": "metformin", "max_results": 10}'
-
-        mock_response = MagicMock()
-        mock_response.choices = [
-            MagicMock(
-                message=MagicMock(
-                    role="assistant",
-                    content=None,
-                    tool_calls=[mock_tool_call],
-                ),
-            ),
-        ]
-
-        with patch("src.utils.huggingface_chat_client.InferenceClient") as mock_client_class:
-            mock_client = MagicMock()
-            mock_client.chat_completion.return_value = mock_response
-            mock_client_class.return_value = mock_client
-
-            client = HuggingFaceChatClient()
-            messages = [{"role": "user", "content": "Search for metformin"}]
-            tools = [
-                {
-                    "type": "function",
-                    "function": {
-                        "name": "search_pubmed",
-                        "description": "Search PubMed",
-                        "parameters": {
-                            "type": "object",
-                            "properties": {
-                                "query": {"type": "string"},
-                                "max_results": {"type": "integer"},
-                            },
-                        },
-                    },
-                },
-            ]
-
-            # Mock run_in_executor to call the lambda directly
-            async def mock_run_in_executor(executor, func, *args):
-                return func()
-
-            with patch("asyncio.get_running_loop") as mock_loop:
-                mock_loop.return_value.run_in_executor = mock_run_in_executor
-
-                response = await client.chat_completion(
-                    messages=messages,
-                    tools=tools,
-                    tool_choice="auto",
-                    temperature=0.3,
-                    max_tokens=500,
-                )
-
-                assert response == mock_response
-                mock_client.chat_completion.assert_called_once_with(
-                    messages=messages,
-                    tools=tools,  # ✅ Native support!
-                    tool_choice="auto",
-                    temperature=0.3,
-                    max_tokens=500,
-                )
-
-    @pytest.mark.asyncio
-    async def test_chat_completion_error_handling(self):
-        """Test error handling in chat completion."""
-        with patch("src.utils.huggingface_chat_client.InferenceClient") as mock_client_class:
-            mock_client = MagicMock()
-            mock_client.chat_completion.side_effect = Exception("API error")
-            mock_client_class.return_value = mock_client
-
-            client = HuggingFaceChatClient()
-            messages = [{"role": "user", "content": "Hello"}]
-
-            # Mock run_in_executor to propagate the exception
-            async def mock_run_in_executor(executor, func, *args):
-                return func()
-
-            with patch("asyncio.get_running_loop") as mock_loop:
-                mock_loop.return_value.run_in_executor = mock_run_in_executor
-
-                with pytest.raises(ConfigurationError, match="HuggingFace chat completion failed"):
-                    await client.chat_completion(messages=messages)
diff --git a/tests/unit/utils/test_llm_factory_token_validation.py b/tests/unit/utils/test_llm_factory_token_validation.py
deleted file mode 100644
index e663958f961e4c8f6608c2181e09017b7e7b23a6..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_llm_factory_token_validation.py
+++ /dev/null
@@ -1,142 +0,0 @@
-"""Unit tests for token validation in llm_factory.py."""
-
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-from src.utils.exceptions import ConfigurationError
-
-
-class TestGetPydanticAiModelTokenValidation:
-    """Tests for get_pydantic_ai_model function with token validation."""
-
-    @patch("src.utils.llm_factory.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    @patch("pydantic_ai.providers.huggingface.HuggingFaceProvider")
-    @patch("pydantic_ai.models.huggingface.HuggingFaceModel")
-    def test_validates_oauth_token(
-        self,
-        mock_model_class,
-        mock_provider_class,
-        mock_validate,
-        mock_log,
-        mock_settings,
-    ) -> None:
-        """Should validate and log OAuth token when provided."""
-        mock_settings.hf_token = None
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (True, None)
-        mock_model_class.return_value = MagicMock()
-        
-        from src.utils.llm_factory import get_pydantic_ai_model
-        
-        get_pydantic_ai_model(oauth_token="hf_test_token")
-        
-        # Should log token info
-        mock_log.assert_called_once_with("hf_test_token", context="get_pydantic_ai_model")
-        # Should validate token
-        mock_validate.assert_called_once_with("hf_test_token")
-
-    @patch("src.utils.llm_factory.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    @patch("src.utils.llm_factory.logger")
-    @patch("pydantic_ai.providers.huggingface.HuggingFaceProvider")
-    @patch("pydantic_ai.models.huggingface.HuggingFaceModel")
-    def test_warns_on_invalid_token(
-        self,
-        mock_model_class,
-        mock_provider_class,
-        mock_logger,
-        mock_validate,
-        mock_log,
-        mock_settings,
-    ) -> None:
-        """Should warn when token validation fails."""
-        mock_settings.hf_token = None
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (False, "Token too short")
-        mock_model_class.return_value = MagicMock()
-        
-        from src.utils.llm_factory import get_pydantic_ai_model
-        
-        get_pydantic_ai_model(oauth_token="short")
-        
-        # Should warn about invalid token
-        warning_calls = [
-            call
-            for call in mock_logger.warning.call_args_list
-            if "Token validation failed" in str(call)
-        ]
-        assert len(warning_calls) > 0
-
-    @patch("src.utils.llm_factory.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    @patch("pydantic_ai.providers.huggingface.HuggingFaceProvider")
-    @patch("pydantic_ai.models.huggingface.HuggingFaceModel")
-    def test_uses_env_token_when_oauth_not_provided(
-        self,
-        mock_model_class,
-        mock_provider_class,
-        mock_validate,
-        mock_log,
-        mock_settings,
-    ) -> None:
-        """Should use environment token when OAuth token not provided."""
-        mock_settings.hf_token = "hf_env_token"
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (True, None)
-        mock_model_class.return_value = MagicMock()
-        
-        from src.utils.llm_factory import get_pydantic_ai_model
-        
-        get_pydantic_ai_model(oauth_token=None)
-        
-        # Should log and validate env token
-        mock_log.assert_called_once_with("hf_env_token", context="get_pydantic_ai_model")
-        mock_validate.assert_called_once_with("hf_env_token")
-
-    @patch("src.utils.llm_factory.settings")
-    def test_raises_when_no_token_available(self, mock_settings) -> None:
-        """Should raise ConfigurationError when no token is available."""
-        mock_settings.hf_token = None
-        mock_settings.huggingface_api_key = None
-        
-        from src.utils.llm_factory import get_pydantic_ai_model
-        
-        with pytest.raises(ConfigurationError, match="HuggingFace token required"):
-            get_pydantic_ai_model(oauth_token=None)
-
-    @patch("src.utils.llm_factory.settings")
-    @patch("src.utils.hf_error_handler.log_token_info")
-    @patch("src.utils.hf_error_handler.validate_hf_token")
-    @patch("pydantic_ai.providers.huggingface.HuggingFaceProvider")
-    @patch("pydantic_ai.models.huggingface.HuggingFaceModel")
-    def test_oauth_token_priority_over_env(
-        self,
-        mock_model_class,
-        mock_provider_class,
-        mock_validate,
-        mock_log,
-        mock_settings,
-    ) -> None:
-        """Should prefer OAuth token over environment token."""
-        mock_settings.hf_token = "hf_env_token"
-        mock_settings.huggingface_api_key = None
-        mock_settings.huggingface_model = "test-model"
-        mock_validate.return_value = (True, None)
-        mock_model_class.return_value = MagicMock()
-        
-        from src.utils.llm_factory import get_pydantic_ai_model
-        
-        get_pydantic_ai_model(oauth_token="hf_oauth_token")
-        
-        # Should use OAuth token, not env token
-        mock_log.assert_called_once_with("hf_oauth_token", context="get_pydantic_ai_model")
-        mock_validate.assert_called_once_with("hf_oauth_token")
-
diff --git a/tests/unit/utils/test_message_history.py b/tests/unit/utils/test_message_history.py
deleted file mode 100644
index 19344e589e0b92149b21ccba1906becd97ef6334..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_message_history.py
+++ /dev/null
@@ -1,151 +0,0 @@
-"""Unit tests for message history utilities."""
-
-import pytest
-
-pytestmark = pytest.mark.unit
-
-from src.utils.message_history import (
-    convert_gradio_to_message_history,
-    create_relevance_processor,
-    create_truncation_processor,
-    message_history_to_string,
-)
-
-
-def test_convert_gradio_to_message_history_empty():
-    """Test conversion with empty history."""
-    result = convert_gradio_to_message_history([])
-    assert result == []
-
-
-def test_convert_gradio_to_message_history_single_turn():
-    """Test conversion with a single turn."""
-    gradio_history = [
-        {"role": "user", "content": "What is AI?"},
-        {"role": "assistant", "content": "AI is artificial intelligence."},
-    ]
-    result = convert_gradio_to_message_history(gradio_history)
-    assert len(result) == 2
-
-
-def test_convert_gradio_to_message_history_multiple_turns():
-    """Test conversion with multiple turns."""
-    gradio_history = [
-        {"role": "user", "content": "What is AI?"},
-        {"role": "assistant", "content": "AI is artificial intelligence."},
-        {"role": "user", "content": "Tell me more"},
-        {"role": "assistant", "content": "AI includes machine learning..."},
-    ]
-    result = convert_gradio_to_message_history(gradio_history)
-    assert len(result) == 4
-
-
-def test_convert_gradio_to_message_history_max_messages():
-    """Test conversion with max_messages limit."""
-    gradio_history = []
-    for i in range(15):  # Create 15 turns
-        gradio_history.append({"role": "user", "content": f"Message {i}"})
-        gradio_history.append({"role": "assistant", "content": f"Response {i}"})
-
-    result = convert_gradio_to_message_history(gradio_history, max_messages=10)
-    # Should only include most recent 10 messages
-    assert len(result) <= 10
-
-
-def test_convert_gradio_to_message_history_filters_invalid():
-    """Test that invalid entries are filtered out."""
-    gradio_history = [
-        {"role": "user", "content": "Valid message"},
-        {"role": "system", "content": "Should be filtered"},
-        {"role": "assistant", "content": ""},  # Empty content should be filtered
-        {"role": "assistant", "content": "Valid response"},
-    ]
-    result = convert_gradio_to_message_history(gradio_history)
-    # Should only have 2 valid messages (user + assistant)
-    assert len(result) == 2
-
-
-def test_message_history_to_string_empty():
-    """Test string conversion with empty history."""
-    result = message_history_to_string([])
-    assert result == ""
-
-
-def test_message_history_to_string_format():
-    """Test string conversion format."""
-    # Create mock message history
-    try:
-        from pydantic_ai import ModelRequest, ModelResponse
-        from pydantic_ai.messages import TextPart, UserPromptPart
-
-        messages = [
-            ModelRequest(parts=[UserPromptPart(content="Question 1")]),
-            ModelResponse(parts=[TextPart(content="Answer 1")]),
-        ]
-        result = message_history_to_string(messages)
-        assert "PREVIOUS CONVERSATION" in result
-        assert "User:" in result
-        assert "Assistant:" in result
-    except ImportError:
-        # Skip if pydantic_ai not available
-        pytest.skip("pydantic_ai not available")
-
-
-def test_message_history_to_string_max_messages():
-    """Test string conversion with max_messages limit."""
-    try:
-        from pydantic_ai import ModelRequest, ModelResponse
-        from pydantic_ai.messages import TextPart, UserPromptPart
-
-        messages = []
-        for i in range(10):  # Create 10 turns
-            messages.append(ModelRequest(parts=[UserPromptPart(content=f"Question {i}")]))
-            messages.append(ModelResponse(parts=[TextPart(content=f"Answer {i}")]))
-
-        result = message_history_to_string(messages, max_messages=3)
-        # Should only include most recent 3 messages (1.5 turns)
-        assert result != ""
-    except ImportError:
-        pytest.skip("pydantic_ai not available")
-
-
-def test_create_truncation_processor():
-    """Test truncation processor factory."""
-    processor = create_truncation_processor(max_messages=5)
-    assert callable(processor)
-
-    try:
-        from pydantic_ai import ModelRequest
-        from pydantic_ai.messages import UserPromptPart
-
-        messages = [
-            ModelRequest(parts=[UserPromptPart(content=f"Message {i}")])
-            for i in range(10)
-        ]
-        result = processor(messages)
-        assert len(result) == 5
-    except ImportError:
-        pytest.skip("pydantic_ai not available")
-
-
-def test_create_relevance_processor():
-    """Test relevance processor factory."""
-    processor = create_relevance_processor(min_length=10)
-    assert callable(processor)
-
-    try:
-        from pydantic_ai import ModelRequest, ModelResponse
-        from pydantic_ai.messages import TextPart, UserPromptPart
-
-        messages = [
-            ModelRequest(parts=[UserPromptPart(content="Short")]),  # Too short
-            ModelRequest(parts=[UserPromptPart(content="This is a longer message")]),  # Valid
-            ModelResponse(parts=[TextPart(content="OK")]),  # Too short
-            ModelResponse(parts=[TextPart(content="This is a valid response")]),  # Valid
-        ]
-        result = processor(messages)
-        # Should only keep messages with length >= 10
-        assert len(result) == 2
-    except ImportError:
-        pytest.skip("pydantic_ai not available")
-
diff --git a/tests/unit/utils/test_models.py b/tests/unit/utils/test_models.py
deleted file mode 100644
index 7431fa55fceaf22ea1ee952d6e2b2b099cd2c6eb..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_models.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""Unit tests for data models."""
-
-import pytest
-
-from src.utils.models import ReportSection, ResearchReport
-
-
-@pytest.mark.unit
-class TestResearchReport:
-    """Tests for ResearchReport model."""
-
-    def test_references_has_default(self) -> None:
-        """ResearchReport should allow creation without references field.
-
-        This is critical because LLMs don't always return the references
-        field, and we shouldn't fail validation when it's missing.
-        """
-        report = ResearchReport(
-            title="Test Report",
-            executive_summary="A" * 100,  # min_length=100
-            research_question="Does drug X help condition Y?",
-            methodology=ReportSection(title="Methods", content="We searched..."),
-            hypotheses_tested=[{"hypothesis": "test", "supported": True}],
-            mechanistic_findings=ReportSection(title="Mechanisms", content="Found..."),
-            clinical_findings=ReportSection(title="Clinical", content="Trials show..."),
-            drug_candidates=["Drug A"],
-            limitations=["Small sample"],
-            conclusion="Promising results.",
-            sources_searched=["pubmed"],
-            total_papers_reviewed=10,
-            search_iterations=2,
-            confidence_score=0.8,
-            # NOTE: references intentionally omitted
-        )
-
-        # Should have empty list as default
-        assert report.references == []
-
-    def test_references_can_be_provided(self) -> None:
-        """ResearchReport should accept references when provided."""
-        refs = [{"title": "Paper 1", "url": "https://example.com"}]
-        report = ResearchReport(
-            title="Test Report",
-            executive_summary="A" * 100,
-            research_question="Does drug X help condition Y?",
-            methodology=ReportSection(title="Methods", content="We searched..."),
-            hypotheses_tested=[],
-            mechanistic_findings=ReportSection(title="Mechanisms", content="Found..."),
-            clinical_findings=ReportSection(title="Clinical", content="Trials show..."),
-            drug_candidates=[],
-            limitations=[],
-            conclusion="Results.",
-            confidence_score=0.5,
-            references=refs,
-        )
-
-        assert report.references == refs
diff --git a/tests/unit/utils/test_text_utils.py b/tests/unit/utils/test_text_utils.py
deleted file mode 100644
index f35012889e76b9cc25044c59cc25dee82d94999e..0000000000000000000000000000000000000000
--- a/tests/unit/utils/test_text_utils.py
+++ /dev/null
@@ -1,133 +0,0 @@
-"""Unit tests for text utilities."""
-
-from unittest.mock import AsyncMock, MagicMock
-
-import pytest
-
-from src.utils.models import Citation, Evidence
-from src.utils.text_utils import select_diverse_evidence, truncate_at_sentence
-
-
-class TestTextUtils:
-    def test_truncate_at_sentence_short(self):
-        """Should return text as is if shorter than limit."""
-        text = "This is a short sentence."
-        assert truncate_at_sentence(text, 100) == text
-
-    def test_truncate_at_sentence_boundary(self):
-        """Should truncate at sentence ending."""
-        text = "First sentence. Second sentence. Third sentence."
-        # Limit should cut in the middle of second sentence
-        limit = len("First sentence. Second sentence") + 5
-        result = truncate_at_sentence(text, limit)
-        assert result == "First sentence. Second sentence."
-
-    def test_truncate_at_sentence_fallback_period(self):
-        """Should fall back to period if no sentence boundary found."""
-        text = "Dr. Smith went to the store. He bought apples."
-        # Limit cuts in "He bought"
-        limit = len("Dr. Smith went to the store.") + 5
-        result = truncate_at_sentence(text, limit)
-        assert result == "Dr. Smith went to the store."
-
-    def test_truncate_at_sentence_fallback_word(self):
-        """Should fall back to word boundary if no punctuation."""
-        text = "This is a very long sentence without any punctuation marks until the very end"
-        limit = 20
-        result = truncate_at_sentence(text, limit)
-        assert result == "This is a very long..."
-        # Ellipsis might add length, checking logic
-        assert len(result) <= limit + 3  # noqa: PLR2004
-
-    @pytest.mark.asyncio
-    async def test_select_diverse_evidence_no_embeddings(self):
-        """Should fallback to relevance sort if no embeddings."""
-        evidence = [
-            Evidence(
-                content="A",
-                relevance=0.9,
-                citation=Citation(source="pubmed", title="A", url="a", date="2023"),
-            ),
-            Evidence(
-                content="B",
-                relevance=0.1,
-                citation=Citation(source="pubmed", title="B", url="b", date="2023"),
-            ),
-            Evidence(
-                content="C",
-                relevance=0.8,
-                citation=Citation(source="pubmed", title="C", url="c", date="2023"),
-            ),
-        ]
-
-        selected = await select_diverse_evidence(evidence, n=2, query="test", embeddings=None)
-
-        expected_count = 2
-        assert len(selected) == expected_count
-        assert selected[0].content == "A"  # Highest relevance
-        assert selected[1].content == "C"  # Second highest
-
-    @pytest.mark.asyncio
-    async def test_select_diverse_evidence_mmr(self):
-        """Should select diverse evidence using MMR."""
-        # Mock embeddings
-        mock_embeddings = MagicMock()
-
-        # Scenario: Query is equidistant to A and C.
-        # A and B are identical (clones).
-        # C is orthogonal to A/B.
-        # We expect A (first) then C (diverse), skipping B (clone).
-
-        # Query: [0.707, 0.707]
-        # A: [1.0, 0.0] -> Sim to Q: 0.707
-        # B: [1.0, 0.0] -> Sim to Q: 0.707, Sim to A: 1.0
-        # C: [0.0, 1.0] -> Sim to Q: 0.707, Sim to A: 0.0
-
-        async def mock_embed(text):
-            if text == "query":
-                return [0.707, 0.707]
-            return [0.0, 0.0]
-
-        async def mock_embed_batch(texts):
-            results = []
-            for t in texts:
-                if t == "A":
-                    results.append([1.0, 0.0])
-                elif t == "B":
-                    results.append([1.0, 0.0])  # Clone of A
-                elif t == "C":
-                    results.append([0.0, 1.0])  # Orthogonal
-                else:
-                    results.append([0.0, 0.0])
-            return results
-
-        mock_embeddings.embed = AsyncMock(side_effect=mock_embed)
-        mock_embeddings.embed_batch = AsyncMock(side_effect=mock_embed_batch)
-
-        evidence = [
-            Evidence(
-                content="A",
-                relevance=0.9,
-                citation=Citation(source="pubmed", title="A", url="a", date="2023"),
-            ),
-            Evidence(
-                content="B",
-                relevance=0.9,
-                citation=Citation(source="pubmed", title="B", url="b", date="2023"),
-            ),
-            Evidence(
-                content="C",
-                relevance=0.9,
-                citation=Citation(source="pubmed", title="C", url="c", date="2023"),
-            ),
-        ]
-
-        # With n=2, we expect A then C.
-        selected = await select_diverse_evidence(
-            evidence, n=2, query="query", embeddings=mock_embeddings
-        )
-
-        expected_count = 2
-        assert len(selected) == expected_count
-        assert selected[0].content == "A"
-        assert selected[1].content == "C"
diff --git a/uv.lock b/uv.lock
deleted file mode 100644
index 9d87f4d8a1ea9a48cd588ca3d21212fef8eab34e..0000000000000000000000000000000000000000
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