koko210Serve
34167eddae
MOOD SYSTEM FIX: - Mount bot/moods directory in docker-compose.yml for Cat container access - Update miku_personality plugin to load mood descriptions from .txt files - Add Cat logger for debugging mood loading (replaces print statements) - Moods now dynamically loaded from working_memory instead of hardcoded neutral
640 lines
28 KiB
Python
640 lines
28 KiB
Python
# utils/cat_client.py
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"""
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Cheshire Cat AI Adapter for Miku Discord Bot (Phase 3)
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Routes messages through the Cheshire Cat pipeline for:
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- Memory-augmented responses (episodic + declarative recall)
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- Fact extraction and consolidation
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- Per-user conversation isolation
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Uses WebSocket for chat (per-user isolation via /ws/{user_id}).
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Uses HTTP for memory management endpoints.
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Falls back to query_llama() on failure for zero-downtime resilience.
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"""
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import aiohttp
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import asyncio
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import json
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import time
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from typing import Optional, Dict, Any, List
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import globals
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from utils.logger import get_logger
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logger = get_logger('llm') # Use existing 'llm' logger component
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class CatAdapter:
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"""
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Async adapter for Cheshire Cat AI.
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Uses WebSocket /ws/{user_id} for conversation (per-user memory isolation).
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Uses HTTP REST for memory management endpoints.
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Without API keys configured, HTTP POST /message defaults all users to
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user_id="user" (no isolation). WebSocket path param gives true isolation.
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"""
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def __init__(self):
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self._base_url = globals.CHESHIRE_CAT_URL.rstrip('/')
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self._api_key = globals.CHESHIRE_CAT_API_KEY
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self._timeout = globals.CHESHIRE_CAT_TIMEOUT
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self._healthy = None # None = unknown, True/False = last check result
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self._last_health_check = 0
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self._health_check_interval = 30 # seconds between health checks
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self._consecutive_failures = 0
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self._max_failures_before_circuit_break = 3
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self._circuit_broken_until = 0 # timestamp when circuit breaker resets
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logger.info(f"CatAdapter initialized: {self._base_url} (timeout={self._timeout}s)")
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def _get_headers(self) -> dict:
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"""Build request headers with optional auth."""
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headers = {'Content-Type': 'application/json'}
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if self._api_key:
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headers['Authorization'] = f'Bearer {self._api_key}'
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return headers
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def _user_id_for_discord(self, user_id: str) -> str:
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"""
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Format Discord user ID for Cat's user namespace.
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Cat uses user_id to isolate working memory and episodic memories.
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"""
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return f"discord_{user_id}"
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async def health_check(self) -> bool:
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"""
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Check if Cheshire Cat is reachable and healthy.
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Caches result to avoid hammering the endpoint.
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"""
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now = time.time()
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if now - self._last_health_check < self._health_check_interval and self._healthy is not None:
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return self._healthy
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(
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f"{self._base_url}/",
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headers=self._get_headers(),
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timeout=aiohttp.ClientTimeout(total=10)
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) as response:
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self._healthy = response.status == 200
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self._last_health_check = now
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if self._healthy:
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logger.debug("Cat health check: OK")
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else:
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logger.warning(f"Cat health check failed: status {response.status}")
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return self._healthy
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except Exception as e:
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self._healthy = False
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self._last_health_check = now
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logger.warning(f"Cat health check error: {e}")
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return False
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def _is_circuit_broken(self) -> bool:
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"""Check if circuit breaker is active (too many consecutive failures)."""
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if self._consecutive_failures >= self._max_failures_before_circuit_break:
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if time.time() < self._circuit_broken_until:
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return True
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# Circuit breaker expired, allow retry
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logger.info("Circuit breaker reset, allowing Cat retry")
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self._consecutive_failures = 0
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return False
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async def query(
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self,
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text: str,
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user_id: str,
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guild_id: Optional[str] = None,
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author_name: Optional[str] = None,
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mood: Optional[str] = None,
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response_type: str = "dm_response",
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) -> Optional[str]:
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"""
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Send a message through the Cat pipeline via WebSocket and get a response.
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Uses WebSocket /ws/{user_id} for per-user memory isolation.
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Without API keys, HTTP POST /message defaults all users to user_id="user"
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(no isolation). The WebSocket path parameter provides true per-user isolation
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because Cat's auth handler uses user_id from the path when no keys are set.
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Args:
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text: User's message text
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user_id: Discord user ID (will be namespaced as discord_{user_id})
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guild_id: Optional guild ID for server context
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author_name: Display name of the user
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mood: Current mood name (passed as metadata for Cat hooks)
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response_type: Type of response context
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Returns:
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Cat's response text, or None if Cat is unavailable (caller should fallback)
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"""
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if not globals.USE_CHESHIRE_CAT:
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return None
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if self._is_circuit_broken():
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logger.debug("Circuit breaker active, skipping Cat")
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return None
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cat_user_id = self._user_id_for_discord(user_id)
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# Build message payload with Discord metadata for our plugin hooks.
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# The discord_bridge plugin's before_cat_reads_message hook reads
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# these custom keys from the message dict.
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payload = {
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"text": text,
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}
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if guild_id:
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payload["discord_guild_id"] = str(guild_id)
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if author_name:
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payload["discord_author_name"] = author_name
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if mood:
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payload["discord_mood"] = mood
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if response_type:
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payload["discord_response_type"] = response_type
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try:
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# Build WebSocket URL from HTTP base URL
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ws_base = self._base_url.replace("http://", "ws://").replace("https://", "wss://")
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ws_url = f"{ws_base}/ws/{cat_user_id}"
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logger.debug(f"Querying Cat via WS: user={cat_user_id}, text={text[:80]}...")
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async with aiohttp.ClientSession() as session:
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async with session.ws_connect(
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ws_url,
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timeout=self._timeout,
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) as ws:
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# Send the message
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await ws.send_json(payload)
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# Read responses until we get the final "chat" type message.
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# Cat may send intermediate messages (chat_token for streaming,
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# notification for status updates). We want the final "chat" one.
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reply_text = None
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deadline = asyncio.get_event_loop().time() + self._timeout
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while True:
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remaining = deadline - asyncio.get_event_loop().time()
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if remaining <= 0:
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logger.error(f"Cat WS timeout after {self._timeout}s")
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break
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try:
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ws_msg = await asyncio.wait_for(
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ws.receive(),
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timeout=remaining
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)
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except asyncio.TimeoutError:
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logger.error(f"Cat WS receive timeout after {self._timeout}s")
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break
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# Handle WebSocket close/error frames
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if ws_msg.type in (aiohttp.WSMsgType.CLOSE, aiohttp.WSMsgType.CLOSING, aiohttp.WSMsgType.CLOSED):
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logger.warning("Cat WS connection closed by server")
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break
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if ws_msg.type == aiohttp.WSMsgType.ERROR:
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logger.error(f"Cat WS error frame: {ws.exception()}")
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break
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if ws_msg.type != aiohttp.WSMsgType.TEXT:
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logger.debug(f"Cat WS non-text frame type: {ws_msg.type}")
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continue
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try:
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msg = json.loads(ws_msg.data)
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except (json.JSONDecodeError, TypeError) as e:
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logger.warning(f"Cat WS non-JSON message: {e}")
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continue
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msg_type = msg.get("type", "")
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if msg_type == "chat":
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# Final response — extract text
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reply_text = msg.get("content") or msg.get("text", "")
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break
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elif msg_type == "chat_token":
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# Streaming token — skip, we wait for final
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continue
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elif msg_type == "error":
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error_desc = msg.get("description", "Unknown Cat error")
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logger.error(f"Cat WS error: {error_desc}")
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break
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elif msg_type == "notification":
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logger.debug(f"Cat notification: {msg.get('content', '')}")
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continue
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else:
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logger.debug(f"Cat WS unknown msg type: {msg_type}")
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continue
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if reply_text and reply_text.strip():
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self._consecutive_failures = 0
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logger.info(f"🐱 Cat response for {cat_user_id}: {reply_text[:100]}...")
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return reply_text
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else:
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logger.warning("Cat returned empty response via WS")
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self._consecutive_failures += 1
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return None
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except asyncio.TimeoutError:
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logger.error(f"Cat WS connection timeout after {self._timeout}s")
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self._consecutive_failures += 1
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if self._consecutive_failures >= self._max_failures_before_circuit_break:
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self._circuit_broken_until = time.time() + 60
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logger.warning("Circuit breaker activated (WS timeout)")
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return None
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except Exception as e:
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logger.error(f"Cat WS query error: {e}")
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self._consecutive_failures += 1
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if self._consecutive_failures >= self._max_failures_before_circuit_break:
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self._circuit_broken_until = time.time() + 60
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logger.warning(f"Circuit breaker activated: {e}")
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return None
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# ===================================================================
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# MEMORY MANAGEMENT API (for Web UI)
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# ===================================================================
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async def get_memory_stats(self) -> Optional[Dict[str, Any]]:
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"""
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Get memory collection statistics with actual counts from Qdrant.
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Returns dict with collection names and point counts.
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"""
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try:
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# Query Qdrant directly for accurate counts
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qdrant_host = self._base_url.replace("http://cheshire-cat:80", "http://cheshire-cat-vector-memory:6333")
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collections_data = []
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for collection_name in ["episodic", "declarative", "procedural"]:
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async with aiohttp.ClientSession() as session:
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async with session.get(
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f"{qdrant_host}/collections/{collection_name}",
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timeout=aiohttp.ClientTimeout(total=10)
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) as response:
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if response.status == 200:
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data = await response.json()
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count = data.get("result", {}).get("points_count", 0)
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collections_data.append({
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"name": collection_name,
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"vectors_count": count
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})
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else:
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collections_data.append({
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"name": collection_name,
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"vectors_count": 0
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})
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return {"collections": collections_data}
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except Exception as e:
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logger.error(f"Error getting memory stats from Qdrant: {e}")
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return None
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async def get_memory_points(
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self,
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collection: str = "declarative",
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limit: int = 100,
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offset: Optional[str] = None
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) -> Optional[Dict[str, Any]]:
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"""
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Get all points from a memory collection via Qdrant.
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Cat doesn't expose /memory/collections/{id}/points, so we query Qdrant directly.
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Returns paginated list of memory points.
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"""
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try:
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# Use Qdrant directly (Cat's vector memory backend)
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# Qdrant is accessible at the same host, port 6333 internally
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qdrant_host = self._base_url.replace("http://cheshire-cat:80", "http://cheshire-cat-vector-memory:6333")
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payload = {"limit": limit, "with_payload": True, "with_vector": False}
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if offset:
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payload["offset"] = offset
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{qdrant_host}/collections/{collection}/points/scroll",
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json=payload,
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timeout=aiohttp.ClientTimeout(total=30)
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) as response:
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if response.status == 200:
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data = await response.json()
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return data.get("result", {})
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else:
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logger.error(f"Failed to get {collection} points from Qdrant: {response.status}")
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return None
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except Exception as e:
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logger.error(f"Error getting memory points from Qdrant: {e}")
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return None
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async def get_all_facts(self) -> List[Dict[str, Any]]:
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"""
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Retrieve ALL declarative memory points (facts) with pagination.
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Returns a flat list of all fact dicts.
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"""
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all_facts = []
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offset = None
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try:
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while True:
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result = await self.get_memory_points(
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collection="declarative",
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limit=100,
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offset=offset
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)
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if not result:
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break
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points = result.get("points", [])
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for point in points:
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payload = point.get("payload", {})
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fact = {
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"id": point.get("id"),
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"content": payload.get("page_content", ""),
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"metadata": payload.get("metadata", {}),
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}
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all_facts.append(fact)
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offset = result.get("next_offset")
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if not offset:
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break
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logger.info(f"Retrieved {len(all_facts)} declarative facts")
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return all_facts
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except Exception as e:
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logger.error(f"Error retrieving all facts: {e}")
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return all_facts
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async def delete_memory_point(self, collection: str, point_id: str) -> bool:
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"""Delete a single memory point by ID via Qdrant."""
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try:
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qdrant_host = self._base_url.replace("http://cheshire-cat:80", "http://cheshire-cat-vector-memory:6333")
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{qdrant_host}/collections/{collection}/points/delete",
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json={"points": [point_id]},
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timeout=aiohttp.ClientTimeout(total=15)
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) as response:
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if response.status == 200:
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logger.info(f"Deleted memory point {point_id} from {collection}")
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return True
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else:
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logger.error(f"Failed to delete point: {response.status}")
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return False
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except Exception as e:
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logger.error(f"Error deleting memory point: {e}")
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return False
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async def update_memory_point(self, collection: str, point_id: str, content: str, metadata: dict = None) -> bool:
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"""Update an existing memory point's content and/or metadata."""
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try:
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# First, get the existing point to retrieve its vector
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qdrant_host = self._base_url.replace("http://cheshire-cat:80", "http://cheshire-cat-vector-memory:6333")
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async with aiohttp.ClientSession() as session:
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# Get existing point
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async with session.post(
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f"{qdrant_host}/collections/{collection}/points",
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json={"ids": [point_id], "with_vector": True, "with_payload": True},
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timeout=aiohttp.ClientTimeout(total=15)
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) as response:
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if response.status != 200:
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logger.error(f"Failed to fetch point {point_id}: {response.status}")
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return False
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data = await response.json()
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points = data.get("result", [])
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if not points:
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logger.error(f"Point {point_id} not found")
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return False
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existing_point = points[0]
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existing_vector = existing_point.get("vector")
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existing_payload = existing_point.get("payload", {})
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# If content changed, we need to re-embed it
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if content != existing_payload.get("page_content"):
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# Call Cat's embedder to get new vector
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embed_response = await session.post(
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f"{self._base_url}/embedder",
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json={"text": content},
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headers=self._get_headers(),
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timeout=aiohttp.ClientTimeout(total=30)
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)
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if embed_response.status == 200:
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embed_data = await embed_response.json()
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new_vector = embed_data.get("embedding")
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else:
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logger.warning(f"Failed to re-embed content, keeping old vector")
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new_vector = existing_vector
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else:
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new_vector = existing_vector
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# Build updated payload
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updated_payload = {
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"page_content": content,
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"metadata": metadata if metadata is not None else existing_payload.get("metadata", {})
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}
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# Update the point
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async with session.put(
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f"{qdrant_host}/collections/{collection}/points",
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json={
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"points": [{
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"id": point_id,
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"vector": new_vector,
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"payload": updated_payload
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}]
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},
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timeout=aiohttp.ClientTimeout(total=15)
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) as update_response:
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if update_response.status == 200:
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logger.info(f"✏️ Updated memory point {point_id} in {collection}")
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return True
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else:
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logger.error(f"Failed to update point: {update_response.status}")
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return False
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except Exception as e:
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logger.error(f"Error updating memory point: {e}")
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return False
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async def create_memory_point(self, collection: str, content: str, user_id: str, source: str, metadata: dict = None) -> Optional[str]:
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"""Create a new memory point manually."""
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try:
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import uuid
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import time
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# Generate a unique ID
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point_id = str(uuid.uuid4())
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# Get vector embedding from Cat
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{self._base_url}/embedder",
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json={"text": content},
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headers=self._get_headers(),
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timeout=aiohttp.ClientTimeout(total=30)
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) as response:
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if response.status != 200:
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logger.error(f"Failed to embed content: {response.status}")
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return None
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data = await response.json()
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vector = data.get("embedding")
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if not vector:
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logger.error("No embedding returned from Cat")
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return None
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# Build payload
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payload = {
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"page_content": content,
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"metadata": metadata or {}
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}
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payload["metadata"]["source"] = source
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payload["metadata"]["when"] = time.time()
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# For declarative memories, add user_id to metadata
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# For episodic, it's in the source field
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if collection == "declarative":
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payload["metadata"]["user_id"] = user_id
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elif collection == "episodic":
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payload["metadata"]["source"] = user_id
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# Insert into Qdrant
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qdrant_host = self._base_url.replace("http://cheshire-cat:80", "http://cheshire-cat-vector-memory:6333")
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async with session.put(
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f"{qdrant_host}/collections/{collection}/points",
|
|
json={
|
|
"points": [{
|
|
"id": point_id,
|
|
"vector": vector,
|
|
"payload": payload
|
|
}]
|
|
},
|
|
timeout=aiohttp.ClientTimeout(total=15)
|
|
) as insert_response:
|
|
if insert_response.status == 200:
|
|
logger.info(f"✨ Created new {collection} memory point: {point_id}")
|
|
return point_id
|
|
else:
|
|
logger.error(f"Failed to insert point: {insert_response.status}")
|
|
return None
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error creating memory point: {e}")
|
|
return None
|
|
|
|
async def wipe_all_memories(self) -> bool:
|
|
"""
|
|
Delete ALL memory collections (episodic + declarative).
|
|
This is the nuclear option — requires multi-step confirmation in the UI.
|
|
"""
|
|
try:
|
|
async with aiohttp.ClientSession() as session:
|
|
async with session.delete(
|
|
f"{self._base_url}/memory/collections",
|
|
headers=self._get_headers(),
|
|
timeout=aiohttp.ClientTimeout(total=30)
|
|
) as response:
|
|
if response.status == 200:
|
|
logger.warning("🗑️ ALL memory collections wiped!")
|
|
return True
|
|
else:
|
|
error = await response.text()
|
|
logger.error(f"Failed to wipe memories: {response.status} - {error}")
|
|
return False
|
|
except Exception as e:
|
|
logger.error(f"Error wiping memories: {e}")
|
|
return False
|
|
|
|
async def wipe_conversation_history(self) -> bool:
|
|
"""Clear working memory / conversation history."""
|
|
try:
|
|
async with aiohttp.ClientSession() as session:
|
|
async with session.delete(
|
|
f"{self._base_url}/memory/conversation_history",
|
|
headers=self._get_headers(),
|
|
timeout=aiohttp.ClientTimeout(total=15)
|
|
) as response:
|
|
if response.status == 200:
|
|
logger.info("Conversation history cleared")
|
|
return True
|
|
else:
|
|
logger.error(f"Failed to clear conversation history: {response.status}")
|
|
return False
|
|
except Exception as e:
|
|
logger.error(f"Error clearing conversation history: {e}")
|
|
return False
|
|
|
|
async def trigger_consolidation(self) -> Optional[str]:
|
|
"""
|
|
Trigger memory consolidation by sending a special message via WebSocket.
|
|
The memory_consolidation plugin's tool 'consolidate_memories' is
|
|
triggered when it sees 'consolidate now' in the text.
|
|
Uses WebSocket with a system user ID for proper context.
|
|
"""
|
|
try:
|
|
ws_base = self._base_url.replace("http://", "ws://").replace("https://", "wss://")
|
|
ws_url = f"{ws_base}/ws/system_consolidation"
|
|
|
|
logger.info("🌙 Triggering memory consolidation via WS...")
|
|
|
|
async with aiohttp.ClientSession() as session:
|
|
async with session.ws_connect(
|
|
ws_url,
|
|
timeout=300, # Consolidation can be very slow
|
|
) as ws:
|
|
await ws.send_json({"text": "consolidate now"})
|
|
|
|
# Wait for the final chat response
|
|
deadline = asyncio.get_event_loop().time() + 300
|
|
|
|
while True:
|
|
remaining = deadline - asyncio.get_event_loop().time()
|
|
if remaining <= 0:
|
|
logger.error("Consolidation timed out (>300s)")
|
|
return "Consolidation timed out"
|
|
|
|
try:
|
|
ws_msg = await asyncio.wait_for(
|
|
ws.receive(),
|
|
timeout=remaining
|
|
)
|
|
except asyncio.TimeoutError:
|
|
logger.error("Consolidation WS receive timeout")
|
|
return "Consolidation timed out waiting for response"
|
|
|
|
if ws_msg.type in (aiohttp.WSMsgType.CLOSE, aiohttp.WSMsgType.CLOSING, aiohttp.WSMsgType.CLOSED):
|
|
logger.warning("Consolidation WS closed by server")
|
|
return "Connection closed during consolidation"
|
|
if ws_msg.type == aiohttp.WSMsgType.ERROR:
|
|
return f"WebSocket error: {ws.exception()}"
|
|
if ws_msg.type != aiohttp.WSMsgType.TEXT:
|
|
continue
|
|
|
|
try:
|
|
msg = json.loads(ws_msg.data)
|
|
except (json.JSONDecodeError, TypeError):
|
|
continue
|
|
|
|
msg_type = msg.get("type", "")
|
|
if msg_type == "chat":
|
|
reply = msg.get("content") or msg.get("text", "")
|
|
logger.info(f"Consolidation result: {reply[:200]}")
|
|
return reply
|
|
elif msg_type == "error":
|
|
error_desc = msg.get("description", "Unknown error")
|
|
logger.error(f"Consolidation error: {error_desc}")
|
|
return f"Consolidation error: {error_desc}"
|
|
else:
|
|
continue
|
|
|
|
except asyncio.TimeoutError:
|
|
logger.error("Consolidation WS connection timed out")
|
|
return None
|
|
except Exception as e:
|
|
logger.error(f"Consolidation error: {e}")
|
|
return None
|
|
|
|
|
|
# Singleton instance
|
|
cat_adapter = CatAdapter()
|