optional sources

.gitea/workflows/build-push-discord.yaml

@@ -0,0 +1,33 @@
+name: Build and Push Discord Bot Docker Image
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - 'discord/**'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Login to Gitea Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: git.seaturtle.pw
+          username: ${{ gitea.actor }}
+          password: ${{ secrets.ACTIONS_PUSH_TOKEN }}
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build and push
+        uses: docker/build-push-action@v6
+        with:
+          context: ./discord
+          push: true
+          tags: git.seaturtle.pw/cavepedia/cavepediav2-discord:latest

discord/.dockerignore

@@ -0,0 +1,5 @@
+.venv/
+__pycache__/
+*.pyc
+.env
+.git/

discord/.env.example

@@ -0,0 +1,25 @@
+# Discord Bot Token (required)
+DISCORD_BOT_TOKEN=your-bot-token-here
+
+# Agent server URL (required)
+AGENT_URL=http://localhost:8000
+
+# Channel IDs where bot responds to @mentions (JSON array, required)
+DISCORD_ALLOWED_CHANNELS=["123456789012345678"]
+
+# Channel IDs where bot responds to ALL messages (JSON array, optional)
+DISCORD_AMBIENT_CHANNELS=[]
+
+# Default roles for document access (JSON array)
+DISCORD_DEFAULT_ROLES=["public"]
+
+# Request sources-only mode from agent
+DISCORD_SOURCES_ONLY=false
+
+# Rate limiting
+RATE_LIMIT_USER_SECONDS=30
+RATE_LIMIT_GLOBAL_PER_MINUTE=20
+
+# Logging
+LOG_LEVEL=INFO
+ENVIRONMENT=development

discord/.python-version

@@ -0,0 +1 @@
+3.13

discord/Dockerfile

@@ -0,0 +1,26 @@
+FROM python:3.13-slim
+
+# Install uv
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+# Create non-root user early
+RUN useradd --create-home --shell /bin/bash discorduser
+
+WORKDIR /app
+RUN chown discorduser:discorduser /app
+
+ENV PYTHONPATH=/app
+
+# Copy dependency files and set ownership
+COPY --chown=discorduser:discorduser pyproject.toml uv.lock ./
+
+# Switch to non-root user before installing dependencies
+USER discorduser
+
+# Install dependencies
+RUN uv sync --frozen --no-dev
+
+# Copy application code
+COPY --chown=discorduser:discorduser src ./src
+
+CMD ["uv", "run", "--frozen", "python", "-m", "src.main"]

discord/pyproject.toml

@@ -0,0 +1,12 @@
+[project]
+name = "cavepedia-discord"
+version = "0.1.0"
+description = "Discord bot for Cavepedia AI assistant"
+requires-python = ">=3.13"
+dependencies = [
+    "discord-py>=2.4.0",
+    "httpx>=0.27.0",
+    "python-dotenv>=1.0.0",
+    "python-json-logger>=4.0.0",
+    "cachetools>=5.5.0",
+]

discord/src/agent_client.py

@@ -0,0 +1,135 @@
+"""HTTP client for communicating with the PydanticAI agent server."""
+
+import json
+import logging
+import uuid
+import httpx
+
+logger = logging.getLogger(__name__)
+
+
+class AgentClient:
+    """Client for the Cavepedia agent server."""
+
+    def __init__(
+        self, base_url: str, default_roles: list[str], sources_only: bool = False
+    ):
+        self.base_url = base_url.rstrip("/")
+        self.default_roles = default_roles
+        self.sources_only = sources_only
+        self._client: httpx.AsyncClient | None = None
+
+    async def start(self):
+        """Initialize the HTTP client."""
+        self._client = httpx.AsyncClient(timeout=120.0)
+        logger.info(f"Agent client initialized for {self.base_url}")
+
+    async def close(self):
+        """Close the HTTP client."""
+        if self._client:
+            await self._client.aclose()
+            self._client = None
+
+    async def health_check(self) -> bool:
+        """Check if agent server is healthy."""
+        if not self._client:
+            return False
+        try:
+            response = await self._client.get(f"{self.base_url}/health")
+            return response.status_code == 200
+        except Exception as e:
+            logger.warning(f"Agent health check failed: {e}")
+            return False
+
+    async def query(self, message: str, sources_only: bool | None = None) -> str:
+        """
+        Send a query to the agent and return the response.
+
+        The agent uses AG-UI protocol with SSE streaming. We collect
+        the full response for Discord (which doesn't support streaming).
+
+        Args:
+            message: The query to send
+            sources_only: Override the default sources_only setting
+        """
+        if not self._client:
+            raise RuntimeError("Agent client not initialized")
+
+        use_sources_only = sources_only if sources_only is not None else self.sources_only
+
+        headers = {
+            "Content-Type": "application/json",
+            "x-user-roles": json.dumps(self.default_roles),
+            "x-sources-only": "true" if use_sources_only else "false",
+        }
+
+        # AG-UI protocol request format (RunAgentInput)
+        payload = {
+            "threadId": str(uuid.uuid4()),
+            "runId": str(uuid.uuid4()),
+            "state": {},
+            "messages": [
+                {
+                    "id": str(uuid.uuid4()),
+                    "role": "user",
+                    "content": message,
+                }
+            ],
+            "tools": [],
+            "context": [],
+            "forwardedProps": {},
+        }
+
+        try:
+            response = await self._client.post(
+                self.base_url,
+                json=payload,
+                headers=headers,
+            )
+            response.raise_for_status()
+
+            # Parse SSE response and extract text content
+            return self._parse_agui_response(response.text)
+
+        except httpx.HTTPStatusError as e:
+            logger.error(
+                f"Agent request failed: {e.response.status_code} - {e.response.text}"
+            )
+            raise
+        except Exception as e:
+            logger.error(f"Agent request error: {e}")
+            raise
+
+    def _parse_agui_response(self, sse_text: str) -> str:
+        """
+        Parse AG-UI SSE response and extract the assistant's message.
+
+        AG-UI sends events like:
+        - TEXT_MESSAGE_START
+        - TEXT_MESSAGE_CONTENT (with delta text)
+        - TEXT_MESSAGE_END
+        """
+        content_parts = []
+
+        for line in sse_text.split("\n"):
+            if not line.startswith("data: "):
+                continue
+
+            try:
+                data = json.loads(line[6:])  # Skip "data: " prefix
+
+                # Handle TEXT_MESSAGE_CONTENT events
+                if data.get("type") == "TEXT_MESSAGE_CONTENT":
+                    delta = data.get("delta", "")
+                    if delta:
+                        content_parts.append(delta)
+
+            except json.JSONDecodeError:
+                continue
+
+        result = "".join(content_parts)
+        if not result:
+            logger.warning("No content extracted from agent response")
+            return "I couldn't generate a response. Please try again."
+
+        return result

discord/src/config.py

@@ -0,0 +1,89 @@
+"""Configuration management for Discord bot."""
+
+import os
+import json
+import logging
+from dataclasses import dataclass, field
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class Config:
+    """Bot configuration from environment variables."""
+
+    # Required
+    discord_token: str
+    agent_url: str
+    allowed_channels: set[int]
+
+    # Optional with defaults
+    ambient_channels: set[int] = field(default_factory=set)
+    default_roles: list[str] = field(default_factory=lambda: ["public"])
+    sources_only: bool = False
+
+    # Rate limiting
+    rate_limit_user_seconds: int = 30
+    rate_limit_global_per_minute: int = 20
+
+    # Observability
+    log_level: str = "INFO"
+    environment: str = "development"
+
+    @classmethod
+    def from_env(cls) -> "Config":
+        """Load configuration from environment variables."""
+
+        # Required variables
+        discord_token = os.environ.get("DISCORD_BOT_TOKEN")
+        if not discord_token:
+            raise ValueError("DISCORD_BOT_TOKEN environment variable is required")
+
+        agent_url = os.environ.get("AGENT_URL")
+        if not agent_url:
+            raise ValueError("AGENT_URL environment variable is required")
+
+        # Parse channel IDs
+        allowed_channels_raw = os.environ.get("DISCORD_ALLOWED_CHANNELS", "[]")
+        try:
+            allowed_channels = set(int(c) for c in json.loads(allowed_channels_raw))
+        except (json.JSONDecodeError, ValueError) as e:
+            raise ValueError(f"Invalid DISCORD_ALLOWED_CHANNELS: {e}")
+
+        if not allowed_channels:
+            raise ValueError(
+                "DISCORD_ALLOWED_CHANNELS must contain at least one channel ID"
+            )
+
+        ambient_channels_raw = os.environ.get("DISCORD_AMBIENT_CHANNELS", "[]")
+        try:
+            ambient_channels = set(int(c) for c in json.loads(ambient_channels_raw))
+        except (json.JSONDecodeError, ValueError) as e:
+            logger.warning(f"Invalid DISCORD_AMBIENT_CHANNELS, using empty: {e}")
+            ambient_channels = set()
+
+        # Parse roles
+        default_roles_raw = os.environ.get("DISCORD_DEFAULT_ROLES", '["public"]')
+        try:
+            default_roles = json.loads(default_roles_raw)
+        except json.JSONDecodeError as e:
+            logger.warning(f"Invalid DISCORD_DEFAULT_ROLES, using ['public']: {e}")
+            default_roles = ["public"]
+
+        return cls(
+            discord_token=discord_token,
+            agent_url=agent_url,
+            allowed_channels=allowed_channels,
+            ambient_channels=ambient_channels,
+            default_roles=default_roles,
+            sources_only=os.environ.get("DISCORD_SOURCES_ONLY", "false").lower()
+            == "true",
+            rate_limit_user_seconds=int(
+                os.environ.get("RATE_LIMIT_USER_SECONDS", "30")
+            ),
+            rate_limit_global_per_minute=int(
+                os.environ.get("RATE_LIMIT_GLOBAL_PER_MINUTE", "20")
+            ),
+            log_level=os.environ.get("LOG_LEVEL", "INFO").upper(),
+            environment=os.environ.get("ENVIRONMENT", "development"),
+        )

discord/src/main.py

@@ -0,0 +1,181 @@
+"""
+Cavepedia Discord Bot - Entry point.
+
+A Discord bot that provides access to the Cavepedia AI assistant via /cavesearch command.
+"""
+
+import os
+import sys
+import logging
+
+# Load environment variables BEFORE other imports
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Set up JSON logging
+from pythonjsonlogger import jsonlogger
+
+log_level = os.getenv("LOG_LEVEL", "INFO").upper()
+handler = logging.StreamHandler()
+handler.setFormatter(
+    jsonlogger.JsonFormatter("%(asctime)s %(name)s %(levelname)s %(message)s")
+)
+logging.basicConfig(
+    level=getattr(logging, log_level, logging.INFO),
+    handlers=[handler],
+)
+logger = logging.getLogger(__name__)
+
+import discord
+from discord import app_commands
+
+from src.config import Config
+from src.agent_client import AgentClient
+from src.rate_limiter import RateLimiter
+
+
+class CavepediaBot(discord.Client):
+    """Discord bot for Cavepedia AI assistant."""
+
+    def __init__(self, config: Config):
+        intents = discord.Intents.default()
+        super().__init__(intents=intents)
+
+        self.config = config
+        self.tree = app_commands.CommandTree(self)
+        self.agent_client = AgentClient(
+            base_url=config.agent_url,
+            default_roles=config.default_roles,
+            sources_only=config.sources_only,
+        )
+        self.rate_limiter = RateLimiter(
+            user_cooldown_seconds=config.rate_limit_user_seconds,
+            global_per_minute=config.rate_limit_global_per_minute,
+        )
+
+    async def setup_hook(self):
+        """Called when the bot is starting up."""
+        await self.agent_client.start()
+
+        # Register the cavesearch command (sources only)
+        @self.tree.command(name="cavesearch", description="Search the caving knowledge base (sources only)")
+        @app_commands.describe(query="Your question about caving")
+        async def cavesearch(interaction: discord.Interaction, query: str):
+            await self.handle_search(interaction, query, sources_only=True)
+
+        # Register the cavechat command (full response)
+        @self.tree.command(name="cavechat", description="Ask the caving AI assistant")
+        @app_commands.describe(query="Your question about caving")
+        async def cavechat(interaction: discord.Interaction, query: str):
+            await self.handle_search(interaction, query, sources_only=False)
+
+        # Sync commands to specific guilds for instant availability
+        for guild_id in [1137321345718439959, 1454125232439955471]:
+            guild = discord.Object(id=guild_id)
+            self.tree.copy_global_to(guild=guild)
+            try:
+                await self.tree.sync(guild=guild)
+                logger.info(f"Commands synced to guild {guild_id}")
+            except discord.errors.Forbidden:
+                logger.warning(f"No access to guild {guild_id}, skipping sync")
+        logger.info("Bot setup complete")
+
+    async def close(self):
+        """Called when the bot is shutting down."""
+        await self.agent_client.close()
+        await super().close()
+
+    async def on_ready(self):
+        """Called when the bot has connected to Discord."""
+        logger.info(f"Logged in as {self.user} (ID: {self.user.id})")
+        logger.info(f"Allowed channels: {self.config.allowed_channels}")
+
+        # Check agent health
+        if await self.agent_client.health_check():
+            logger.info("Agent server is healthy")
+        else:
+            logger.warning("Agent server health check failed")
+
+    async def handle_search(self, interaction: discord.Interaction, query: str, sources_only: bool):
+        """Handle the /cavesearch and /cavechat commands."""
+        # Check if channel is allowed
+        if interaction.channel_id not in self.config.allowed_channels:
+            await interaction.response.send_message(
+                "This command is not available in this channel.",
+                ephemeral=True,
+            )
+            return
+
+        # Check rate limits
+        allowed, error_msg = self.rate_limiter.check(interaction.user.id)
+        if not allowed:
+            await interaction.response.send_message(error_msg, ephemeral=True)
+            return
+
+        # Defer response since agent calls take time
+        await interaction.response.defer()
+
+        try:
+            logger.info(
+                f"Processing query from {interaction.user} in #{interaction.channel}: {query[:100]}..."
+            )
+
+            response = await self.agent_client.query(query, sources_only=sources_only)
+
+            # Discord has a 2000 character limit
+            if len(response) > 2000:
+                chunks = self._split_response(response, max_length=1900)
+                await interaction.followup.send(chunks[0])
+                for chunk in chunks[1:]:
+                    await interaction.channel.send(chunk)
+            else:
+                await interaction.followup.send(response)
+
+            logger.info(f"Response sent to {interaction.user}")
+
+        except Exception as e:
+            logger.error(f"Error processing query: {e}", exc_info=True)
+            await interaction.followup.send(
+                "Sorry, I encountered an error processing your question. "
+                "Please try again later."
+            )
+
+    def _split_response(self, text: str, max_length: int = 1900) -> list[str]:
+        """Split a long response into chunks that fit Discord's limit."""
+        chunks = []
+        current_chunk = ""
+
+        for line in text.split("\n"):
+            if len(current_chunk) + len(line) + 1 > max_length:
+                if current_chunk:
+                    chunks.append(current_chunk.strip())
+                current_chunk = line + "\n"
+            else:
+                current_chunk += line + "\n"
+
+        if current_chunk.strip():
+            chunks.append(current_chunk.strip())
+
+        return chunks if chunks else [text[:max_length]]
+
+
+def main():
+    """Main entry point."""
+    try:
+        config = Config.from_env()
+    except ValueError as e:
+        logger.error(f"Configuration error: {e}")
+        sys.exit(1)
+
+    logger.info("Starting Cavepedia Discord bot...")
+    logger.info(f"Agent URL: {config.agent_url}")
+    logger.info(f"Allowed channels: {len(config.allowed_channels)}")
+    logger.info(f"Default roles: {config.default_roles}")
+
+    bot = CavepediaBot(config)
+    bot.run(config.discord_token, log_handler=None)
+
+
+if __name__ == "__main__":
+    main()

discord/src/rate_limiter.py

@@ -0,0 +1,56 @@
+"""Rate limiting for Discord bot."""
+
+import time
+import logging
+from cachetools import TTLCache
+
+logger = logging.getLogger(__name__)
+
+
+class RateLimiter:
+    """Simple rate limiter using TTL caches."""
+
+    def __init__(self, user_cooldown_seconds: int, global_per_minute: int):
+        self.user_cooldown_seconds = user_cooldown_seconds
+        self.global_per_minute = global_per_minute
+
+        # Track last request time per user
+        self._user_cache: TTLCache[int, float] = TTLCache(
+            maxsize=10000, ttl=user_cooldown_seconds
+        )
+
+        # Track global requests in sliding window
+        self._global_requests: list[float] = []
+
+    def check(self, user_id: int) -> tuple[bool, str | None]:
+        """
+        Check if a request is allowed.
+
+        Returns:
+            (allowed, error_message) - If not allowed, includes reason
+        """
+        now = time.time()
+
+        # Check user cooldown
+        if user_id in self._user_cache:
+            remaining = self.user_cooldown_seconds - (now - self._user_cache[user_id])
+            if remaining > 0:
+                return (
+                    False,
+                    f"Please wait {int(remaining)} seconds before asking another question.",
+                )
+
+        # Check global rate limit (clean old entries older than 60 seconds)
+        self._global_requests = [t for t in self._global_requests if now - t < 60]
+
+        if len(self._global_requests) >= self.global_per_minute:
+            return (
+                False,
+                "The bot is receiving too many requests. Please try again in a minute.",
+            )
+
+        # Record this request
+        self._user_cache[user_id] = now
+        self._global_requests.append(now)
+
+        return True, None

discord/uv.lock

@@ -0,0 +1,586 @@
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+]

mcp/server.py

@@ -35,20 +35,19 @@ mcp = FastMCP("Cavepedia MCP")
 def get_user_roles() -> list[str]:
     """Extract user roles from the X-User-Roles header."""
     headers = get_http_headers()
-    print(f"DEBUG: All headers received: {dict(headers)}")
     roles_header = headers.get("x-user-roles", "")
-    print(f"DEBUG: x-user-roles header value: '{roles_header}'")
     if roles_header:
         try:
-            roles = json.loads(roles_header)
-            print(f"DEBUG: Parsed roles: {roles}")
-            return roles
-        except json.JSONDecodeError as e:
-            print(f"DEBUG: JSON decode error: {e}")
+            return json.loads(roles_header)
+        except json.JSONDecodeError:
             return []
-    print("DEBUG: No roles header found, returning empty list")
     return []
 
+def is_sources_only() -> bool:
+    """Check if sources-only mode is enabled via header."""
+    headers = get_http_headers()
+    return headers.get("x-sources-only", "false") == "true"
+
 def embed(text, input_type):
     resp = co.embed(
         texts=[text],
@@ -59,47 +58,64 @@ def embed(text, input_type):
     assert resp.embeddings.float_ is not None
     return resp.embeddings.float_[0]
 
-def search(query, roles: list[str], limit: int = 5) -> list[dict]:
+@mcp.tool
+def search_caving_documents(query: str, priority_prefixes: list[str] | None = None) -> dict:
+    """Search caving documents for information about caves, techniques, safety, accidents, history, and more.
+
+    Args:
+        query: Search query
+        priority_prefixes: Optional list of key prefixes to prioritize (e.g., ['nss/aca'] for rescue topics)
+    """
+    roles = get_user_roles()
+    if not roles:
+        return {"results": [], "note": "No results. Answer based on your knowledge."}
+
     query_embedding = embed(query, 'search_query')
 
-    if not roles:
-        # No roles = no results
-        return []
-
+    # Fetch more candidates for reranking
+    top_n = 2
+    candidate_limit = top_n * 4
     rows = conn.execute(
-        'SELECT * FROM embeddings WHERE embedding IS NOT NULL AND role = ANY(%s) ORDER BY embedding <=> %s::vector LIMIT %s',
-        (roles, query_embedding, limit)
+        'SELECT * FROM embeddings WHERE embedding IS NOT NULL AND LENGTH(content) > 100 AND role = ANY(%s) ORDER BY embedding <=> %s::vector LIMIT %s',
+        (roles, query_embedding, candidate_limit)
     ).fetchall()
 
-    return [{'key': row['key'], 'content': row['content']} for row in rows]
+    if not rows:
+        return {"results": [], "note": "No results found. Answer based on your knowledge."}
 
-@mcp.tool
-def get_cave_location(cave: str, state: str, county: str) -> list[dict]:
-    """Lookup cave location as coordinates."""
-    roles = get_user_roles()
-    return search(f'{cave} Location, latitude, Longitude. Located in {state} and {county} county.', roles)
+    # Rerank with Cohere for better relevance
+    rerank_resp = co.rerank(
+        query=query,
+        documents=[row['content'] or '' for row in rows],
+        model='rerank-v3.5',
+        top_n=min(top_n * 2, len(rows)),
+    )
 
-@mcp.tool
-def general_caving_information(query: str) -> list[dict]:
-    """General purpose search for any topic related to caves."""
-    roles = get_user_roles()
-    return search(query, roles)
+    # Build results with optional priority boost
+    docs = []
+    sources_only = is_sources_only()
+    for result in rerank_resp.results:
+        row = rows[result.index]
+        content = row['content'] or ''
+        score = result.relevance_score
 
-@mcp.tool
-def get_document_page(key: str) -> dict:
-    """Fetch full content for a document page. Pass the exact 'key' value from search results."""
-    roles = get_user_roles()
-    if not roles:
-        return {"error": "No roles assigned"}
+        # Boost score if key starts with any priority prefix (e.g., 'nss/aca')
+        if priority_prefixes:
+            key = row['key'] or ''
+            if any(key.startswith(prefix) for prefix in priority_prefixes):
+                score = min(1.0, score * 1.3)
 
-    row = conn.execute(
-        'SELECT key, content FROM embeddings WHERE key = %s AND role = ANY(%s)',
-        (key, roles)
-    ).fetchone()
+        if sources_only:
+            docs.append({'key': row['key'], 'relevance': round(score, 3)})
+        else:
+            docs.append({'key': row['key'], 'content': content, 'relevance': round(score, 3)})
 
-    if row:
-        return {"key": row["key"], "content": row["content"]}
-    return {"error": f"Page not found: {key}"}
+    # Re-sort by boosted score and return top_n
+    docs.sort(key=lambda x: x['relevance'], reverse=True)
+    return {
+        "results": docs[:top_n],
+        "note": "These are ALL available results. Do NOT search again - answer using these results now."
+    }
 
 @mcp.tool
 def get_user_info() -> dict:

web/agent/pyproject.toml

@@ -12,4 +12,6 @@ dependencies = [
     "ag-ui-protocol",
     "python-dotenv",
     "httpx",
+    "logfire>=4.16.0",
+    "python-json-logger>=4.0.0",
 ]

web/agent/src/agent.py

@@ -5,33 +5,61 @@ PydanticAI agent with MCP tools from Cavepedia server.
 import os
 import logging
 import httpx
+import logfire
 
-from pydantic_ai import Agent, ModelMessage, RunContext
-from pydantic_ai.settings import ModelSettings
+# Set up logging BEFORE logfire (otherwise basicConfig is ignored)
+from pythonjsonlogger import jsonlogger
 
-# Set up logging based on environment
-log_level = logging.DEBUG if os.getenv("DEBUG") else logging.INFO
+log_level = os.getenv("LOG_LEVEL", "INFO").upper()
+handler = logging.StreamHandler()
+handler.setFormatter(jsonlogger.JsonFormatter("%(asctime)s %(name)s %(levelname)s %(message)s"))
 logging.basicConfig(
-    level=log_level,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    level=getattr(logging, log_level, logging.INFO),
+    handlers=[handler],
 )
 logger = logging.getLogger(__name__)
 
+# Configure Logfire for observability
+logfire.configure(
+    environment=os.getenv('ENVIRONMENT', 'development'),
+)
+logfire.instrument_pydantic_ai()
+logfire.instrument_httpx()
+
+from pydantic_ai import Agent, ModelMessage, RunContext
+from pydantic_ai.settings import ModelSettings
+from pydantic_ai.mcp import CallToolFunc
+
 CAVE_MCP_URL = os.getenv("CAVE_MCP_URL", "https://mcp.caving.dev/mcp")
 
-logger.info("Initializing Cavepedia agent...")
+logger.info(f"Initializing Cavepedia agent with CAVE_MCP_URL={CAVE_MCP_URL}")
 
 
 def limit_history(ctx: RunContext[None], messages: list[ModelMessage]) -> list[ModelMessage]:
-    """Limit conversation history to manage token usage and request size."""
-    # Keep only the last few messages to avoid large requests hitting Cloudflare limits
-    return messages[-4:]
+    """Keep only the current turn - from last user text message onward."""
+    from pydantic_ai.messages import ModelRequest, UserPromptPart
+
+    if not messages:
+        return messages
+
+    # Find the last user message with actual text (not just tool results)
+    for i in range(len(messages) - 1, -1, -1):
+        msg = messages[i]
+        if isinstance(msg, ModelRequest):
+            has_text = any(isinstance(part, UserPromptPart) for part in msg.parts)
+            if has_text:
+                return messages[i:]
+
+    # Fallback: return all messages if no user text found
+    return messages
+
 
 def check_mcp_available(url: str, timeout: float = 5.0) -> bool:
     """Check if MCP server is reachable via health endpoint."""
     try:
         # Use the health endpoint instead of the MCP endpoint
         health_url = url.rsplit("/", 1)[0] + "/health"
+        logger.info(f"Checking MCP health at: {health_url}")
         response = httpx.get(health_url, timeout=timeout, follow_redirects=True)
         if response.status_code == 200:
             return True
@@ -41,27 +69,53 @@ def check_mcp_available(url: str, timeout: float = 5.0) -> bool:
         logger.warning(f"MCP server not reachable: {e}")
         return False
 
-# Check if MCP is available at startup
-MCP_AVAILABLE = check_mcp_available(CAVE_MCP_URL)
-logger.info(f"MCP server available: {MCP_AVAILABLE}")
+# MCP availability is checked lazily in create_agent()
 
 AGENT_INSTRUCTIONS = """Caving assistant. Help with exploration, safety, surveying, locations, geology, equipment, history, conservation.
 
 Rules:
-1. Cite sources when possible.
+1. ALWAYS cite sources in a bulleted list at the end of every reply, even if there's only one. Format them human-readably (e.g., "- The Trog 2021, page 19" not "vpi/trog/2021-trog.pdf/page-19.pdf").
 2. Say when uncertain. Never hallucinate.
-3. Be safety-conscious.
-4. Can create ascii diagrams/maps.
-5. Be direct—no sycophantic phrases.
-6. Keep responses concise.
-7. Use tools sparingly—one search usually suffices. Answer from your knowledge when possible."""
+3. Be direct—no sycophantic phrases.
+4. Keep responses concise.
+5. SEARCH EXACTLY ONCE. After searching, IMMEDIATELY answer using those results. NEVER search again - additional searches are blocked and waste resources.
+6. For rescue, accident, or emergency-related queries, use priority_prefixes=['nss/aca'] when searching to prioritize official accident reports."""
+
+SOURCES_ONLY_INSTRUCTIONS = """Return ONLY a bulleted list of sources. No summary, no explanations, no other text.
+
+Rules:
+1. Format sources human-readably (e.g., "- The Trog 2021, page 19" not "vpi/trog/2021-trog.pdf/page-19.pdf").
+2. SEARCH EXACTLY ONCE. After searching, IMMEDIATELY list sources. NEVER search again.
+3. For rescue, accident, or emergency-related queries, use priority_prefixes=['nss/aca'] when searching."""
 
 
-def create_agent(user_roles: list[str] | None = None):
+def create_search_limiter():
+    """Block searches after the first one."""
+    searched = [False]
+
+    async def process_tool_call(
+        ctx: RunContext,
+        call_tool: CallToolFunc,
+        name: str,
+        tool_args: dict,
+    ):
+        if name == "search_caving_documents":
+            if searched[0]:
+                return "You have already searched. Use the results you have."
+            searched[0] = True
+        return await call_tool(name, tool_args)
+
+    return process_tool_call
+
+
+def create_agent(user_roles: list[str] | None = None, sources_only: bool = False):
     """Create an agent with MCP tools configured for the given user roles."""
     toolsets = []
 
-    if MCP_AVAILABLE and user_roles:
+    # Check MCP availability lazily (each request) to handle startup race conditions
+    mcp_available = check_mcp_available(CAVE_MCP_URL) if user_roles else False
+
+    if mcp_available and user_roles:
         try:
             import json
             from pydantic_ai.mcp import MCPServerStreamableHTTP
@@ -71,8 +125,12 @@ def create_agent(user_roles: list[str] | None = None):
 
             mcp_server = MCPServerStreamableHTTP(
                 url=CAVE_MCP_URL,
-                headers={"x-user-roles": roles_header},
+                headers={
+                    "x-user-roles": roles_header,
+                    "x-sources-only": "true" if sources_only else "false",
+                },
                 timeout=30.0,
+                process_tool_call=create_search_limiter(),
             )
             toolsets.append(mcp_server)
             logger.info(f"MCP server configured with roles: {user_roles}")
@@ -83,16 +141,16 @@ def create_agent(user_roles: list[str] | None = None):
     else:
         logger.info("MCP server unavailable - running without MCP tools")
 
+    # Build instructions based on mode
+    instructions = SOURCES_ONLY_INSTRUCTIONS if sources_only else AGENT_INSTRUCTIONS
+
     return Agent(
         model="anthropic:claude-sonnet-4-5",
         toolsets=toolsets if toolsets else None,
-        instructions=AGENT_INSTRUCTIONS,
+        instructions=instructions,
         history_processors=[limit_history],
         model_settings=ModelSettings(max_tokens=4096),
     )
 
 
-# Create a default agent for health checks etc
-agent = create_agent()
-
 logger.info("Agent module initialized successfully")

web/agent/src/main.py

@@ -14,13 +14,27 @@ from pydantic_ai.settings import ModelSettings
 load_dotenv()
 
 # Set up logging based on environment
-log_level = logging.DEBUG if os.getenv("DEBUG") else logging.INFO
+from pythonjsonlogger import jsonlogger
+
+log_level = os.getenv("LOG_LEVEL", "INFO").upper()
+json_formatter = jsonlogger.JsonFormatter("%(asctime)s %(name)s %(levelname)s %(message)s")
+
+# Configure root logger with JSON
+handler = logging.StreamHandler()
+handler.setFormatter(json_formatter)
 logging.basicConfig(
-    level=log_level,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    level=getattr(logging, log_level, logging.INFO),
+    handlers=[handler],
 )
 logger = logging.getLogger(__name__)
 
+# Apply JSON formatter to uvicorn loggers (works even when run via `uvicorn src.main:app`)
+for uvicorn_logger_name in ("uvicorn", "uvicorn.error", "uvicorn.access"):
+    uvicorn_logger = logging.getLogger(uvicorn_logger_name)
+    uvicorn_logger.handlers = [handler]
+    uvicorn_logger.setLevel(getattr(logging, log_level, logging.INFO))
+    uvicorn_logger.propagate = False
+
 # Validate required environment variables
 if not os.getenv("ANTHROPIC_API_KEY"):
     logger.error("ANTHROPIC_API_KEY environment variable is required")
@@ -41,12 +55,9 @@ logger.info("Creating AG-UI app...")
 
 async def handle_agent_request(request: Request) -> Response:
     """Handle incoming AG-UI requests with dynamic role-based MCP configuration."""
-    # Debug: log all incoming headers
-    logger.info(f"DEBUG: All request headers: {dict(request.headers)}")
 
     # Extract user roles from request headers
     roles_header = request.headers.get("x-user-roles", "")
-    logger.info(f"DEBUG: x-user-roles header value: '{roles_header}'")
     user_roles = []
 
     if roles_header:
@@ -56,16 +67,20 @@ async def handle_agent_request(request: Request) -> Response:
         except json.JSONDecodeError as e:
             logger.warning(f"Failed to parse x-user-roles header: {e}")
 
-    # Create agent with the user's roles
-    agent = create_agent(user_roles)
+    # Extract sources-only mode from header
+    sources_only = request.headers.get("x-sources-only", "false") == "true"
+    if sources_only:
+        logger.info("Sources-only mode enabled")
 
-    # Dispatch the request using AGUIAdapter with usage limits
+    # Create agent with the user's roles and mode
+    agent = create_agent(user_roles, sources_only=sources_only)
+
+    # Dispatch the request - tool limits handled by ToolCallLimiter in agent.py
     return await AGUIAdapter.dispatch_request(
         request,
         agent=agent,
         usage_limits=UsageLimits(
-            request_limit=5,      # Max 5 LLM requests per query
-            tool_calls_limit=3,   # Max 3 tool calls per query
+            request_limit=10,     # Safety net for runaway requests
         ),
         model_settings=ModelSettings(max_tokens=4096),
     )

web/agent/uv.lock

@@ -231,10 +231,12 @@ source = { virtual = "." }
 dependencies = [
     { name = "ag-ui-protocol" },
     { name = "httpx" },
+    { name = "logfire" },
     { name = "mcp" },
     { name = "openai" },
     { name = "pydantic-ai" },
     { name = "python-dotenv" },
+    { name = "python-json-logger" },
     { name = "starlette" },
     { name = "uvicorn" },
 ]
@@ -243,10 +245,12 @@ dependencies = [
 requires-dist = [
     { name = "ag-ui-protocol" },
     { name = "httpx" },
+    { name = "logfire", specifier = ">=4.16.0" },
     { name = "mcp" },
     { name = "openai" },
     { name = "pydantic-ai" },
     { name = "python-dotenv" },
+    { name = "python-json-logger", specifier = ">=4.0.0" },
     { name = "starlette" },
     { name = "uvicorn" },
 ]

web/src/app/api/copilotkit/route.ts

@@ -15,13 +15,19 @@ export const POST = async (req: NextRequest) => {
   const session = await auth0.getSession();
   const userRoles = (session?.user?.roles as string[]) || [];
 
-  console.log("DEBUG: User roles from session:", userRoles);
+  // Get sources-only mode from query param
+  const url = new URL(req.url);
+  const sourcesOnly = url.searchParams.get("sourcesOnly") === "true";
 
-  // Create HttpAgent with user roles header
+  console.log("DEBUG: User roles from session:", userRoles);
+  console.log("DEBUG: Sources only mode:", sourcesOnly);
+
+  // Create HttpAgent with user roles and sources-only headers
   const agent = new HttpAgent({
     url: process.env.AGENT_URL || "http://localhost:8000/",
     headers: {
       "x-user-roles": JSON.stringify(userRoles),
+      "x-sources-only": sourcesOnly ? "true" : "false",
     },
   });
 

web/src/app/icon.svg

@@ -0,0 +1,15 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32">
+  <!-- Cave background -->
+  <rect width="32" height="32" fill="#1a1a2e"/>
+
+  <!-- Stalagmite -->
+  <path d="M16 4 L22 28 L10 28 Z" fill="#8b7355"/>
+  <path d="M16 4 L14 28 L10 28 Z" fill="#6b5344"/>
+
+  <!-- Highlight -->
+  <path d="M16 4 L18 28 L16 28 Z" fill="#a08060"/>
+
+  <!-- Small stalagmites -->
+  <path d="M6 18 L8 28 L4 28 Z" fill="#7a6348"/>
+  <path d="M26 20 L28 28 L24 28 Z" fill="#7a6348"/>
+</svg>

web/src/app/layout.tsx

@@ -1,6 +1,5 @@
 import type { Metadata } from "next";
 
-import { CopilotKit } from "@copilotkit/react-core";
 import { Auth0Provider } from "@auth0/nextjs-auth0/client";
 import "./globals.css";
 import "@copilotkit/react-ui/styles.css";
@@ -19,9 +18,7 @@ export default function RootLayout({
     <html lang="en">
       <body className={"antialiased"}>
         <Auth0Provider>
-          <CopilotKit runtimeUrl="/api/copilotkit" agent="vpi_1000">
-            {children}
-          </CopilotKit>
+          {children}
         </Auth0Provider>
       </body>
     </html>

web/src/app/page.tsx

@@ -1,36 +1,43 @@
 "use client";
 
-import { useCopilotAction, useCopilotChat } from "@copilotkit/react-core";
+import { CopilotKit, useCopilotAction, useCopilotChat } from "@copilotkit/react-core";
 import { CopilotKitCSSProperties, CopilotChat } from "@copilotkit/react-ui";
 import { useState } from "react";
 import { useUser } from "@auth0/nextjs-auth0/client";
 import LoginButton from "@/components/LoginButton";
 import LogoutButton from "@/components/LogoutButton";
 
-// Separate component to safely use useCopilotChat hook
-function ThinkingIndicator() {
+// Block input and show indicator while agent is processing
+function LoadingOverlay() {
   try {
     const { isLoading } = useCopilotChat();
     if (!isLoading) return null;
     return (
-      <div className="absolute bottom-24 left-1/2 transform -translate-x-1/2 bg-white shadow-lg rounded-full px-4 py-2 flex items-center gap-2 z-50">
-        <div className="flex gap-1">
-          <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "0ms" }}></span>
-          <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "150ms" }}></span>
-          <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "300ms" }}></span>
+      <>
+        {/* Overlay to block input area */}
+        <div
+          className="absolute bottom-0 left-0 right-0 h-24 z-40"
+          style={{ pointerEvents: 'all' }}
+          onClick={(e) => e.stopPropagation()}
+        />
+        {/* Thinking indicator */}
+        <div className="absolute bottom-24 left-1/2 transform -translate-x-1/2 bg-white shadow-lg rounded-full px-4 py-2 flex items-center gap-2 z-50">
+          <div className="flex gap-1">
+            <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "0ms" }}></span>
+            <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "150ms" }}></span>
+            <span className="w-2 h-2 bg-indigo-500 rounded-full animate-bounce" style={{ animationDelay: "300ms" }}></span>
+          </div>
+          <span className="text-sm text-gray-600">Thinking...</span>
         </div>
-        <span className="text-sm text-gray-600">Thinking...</span>
-      </div>
+      </>
     );
   } catch {
     return null;
   }
 }
 
-export default function CopilotKitPage() {
-  const [themeColor, setThemeColor] = useState("#6366f1");
-  const { user, isLoading: authLoading } = useUser();
-
+// Chat content with CopilotKit hooks - must be inside CopilotKit provider
+function ChatContent({ themeColor, setThemeColor }: { themeColor: string; setThemeColor: (color: string) => void }) {
   useCopilotAction({
     name: "setThemeColor",
     parameters: [{
@@ -43,6 +50,35 @@ export default function CopilotKitPage() {
     },
   });
 
+  return (
+    <div
+      className="flex-1 flex justify-center py-8 px-2 overflow-hidden relative"
+      style={{ "--copilot-kit-primary-color": themeColor } as CopilotKitCSSProperties}
+    >
+      <div className="h-full w-full max-w-5xl flex flex-col">
+        <CopilotChat
+          labels={{
+            title: "AI Cartwright",
+            initial: "Hello! I'm here to help with anything related to caving. Ask me about caves, techniques, safety, equipment, or anything else caving-related!",
+          }}
+          className="h-full w-full"
+        />
+      </div>
+      <LoadingOverlay />
+    </div>
+  );
+}
+
+export default function CopilotKitPage() {
+  const [themeColor, setThemeColor] = useState("#6366f1");
+  const [sourcesOnlyMode, setSourcesOnlyMode] = useState(false);
+  const { user, isLoading: authLoading } = useUser();
+
+  // Dynamic runtime URL based on sources-only mode
+  const runtimeUrl = sourcesOnlyMode
+    ? "/api/copilotkit?sourcesOnly=true"
+    : "/api/copilotkit";
+
   // Show loading state while checking authentication
   if (authLoading) {
     return (
@@ -79,50 +115,51 @@ export default function CopilotKitPage() {
 
   // If authenticated, show the CopilotKit chat with user profile
   return (
-    <main
-      style={{ "--copilot-kit-primary-color": themeColor } as CopilotKitCSSProperties}
-      className="h-screen w-screen flex flex-col bg-gray-50"
+    <CopilotKit
+      runtimeUrl={runtimeUrl}
+      agent="vpi_1000"
+      key={sourcesOnlyMode ? "sources" : "normal"}
     >
-      {/* Header with user profile and logout */}
-      <div className="w-full bg-white shadow-sm border-b border-gray-200 px-4 py-3">
-        <div className="max-w-7xl mx-auto flex justify-between items-center">
-          <div className="flex items-center gap-4">
-            <h1 className="text-xl font-semibold text-gray-900">Cavepedia</h1>
-          </div>
-          <div className="flex items-center gap-4">
-            {user.picture && (
-              <img
-                src={user.picture}
-                alt={user.name || 'User'}
-                className="w-8 h-8 rounded-full"
-              />
-            )}
-            <div className="flex flex-col items-end">
-              <span className="text-sm text-gray-700">{user.name}</span>
-              {(user as any).roles && (user as any).roles.length > 0 && (
-                <span className="text-xs text-gray-500">
-                  {(user as any).roles.join(', ')}
-                </span>
-              )}
+      <main className="h-screen w-screen flex flex-col bg-gray-50">
+        {/* Header with user profile and logout */}
+        <div className="w-full bg-white shadow-sm border-b border-gray-200 px-4 py-3">
+          <div className="max-w-7xl mx-auto flex justify-between items-center">
+            <div className="flex items-center gap-4">
+              <h1 className="text-xl font-semibold text-gray-900">Cavepedia</h1>
+              <label className="flex items-center gap-2 text-sm text-gray-600 cursor-pointer">
+                <input
+                  type="checkbox"
+                  checked={sourcesOnlyMode}
+                  onChange={(e) => setSourcesOnlyMode(e.target.checked)}
+                  className="w-4 h-4 rounded border-gray-300 text-indigo-600 focus:ring-indigo-500"
+                />
+                Sources only
+              </label>
+            </div>
+            <div className="flex items-center gap-4">
+              {user.picture && (
+                <img
+                  src={user.picture}
+                  alt={user.name || 'User'}
+                  className="w-8 h-8 rounded-full"
+                />
+              )}
+              <div className="flex flex-col items-end">
+                <span className="text-sm text-gray-700">{user.name}</span>
+                {(user as any).roles && (user as any).roles.length > 0 && (
+                  <span className="text-xs text-gray-500">
+                    {(user as any).roles.join(', ')}
+                  </span>
+                )}
+              </div>
+              <LogoutButton />
             </div>
-            <LogoutButton />
           </div>
         </div>
-      </div>
 
-      {/* CopilotKit Chat */}
-      <div className="flex-1 flex justify-center py-8 px-2 overflow-hidden relative">
-        <div className="h-full w-full max-w-5xl flex flex-col">
-          <CopilotChat
-            labels={{
-              title: "AI Cartwright",
-              initial: "Hello! I'm here to help with anything related to caving. Ask me about caves, techniques, safety, equipment, or anything else caving-related!",
-            }}
-            className="h-full w-full"
-          />
-        </div>
-        <ThinkingIndicator />
-      </div>
-    </main>
+        {/* CopilotKit Chat */}
+        <ChatContent themeColor={themeColor} setThemeColor={setThemeColor} />
+      </main>
+    </CopilotKit>
   );
 }