Phase 3: Unified Cheshire Cat integration with WebSocket-based per-user isolation

Key changes:
- CatAdapter (bot/utils/cat_client.py): WebSocket /ws/{user_id} for chat
  queries instead of HTTP POST (fixes per-user memory isolation when no
  API keys are configured — HTTP defaults all users to user_id='user')
- Memory management API: 8 endpoints for status, stats, facts, episodic
  memories, consolidation trigger, multi-step delete with confirmation
- Web UI: Memory tab (tab9) with collection stats, fact/episodic browser,
  manual consolidation trigger, and 3-step delete flow requiring exact
  confirmation string
- Bot integration: Cat-first response path with query_llama fallback for
  both text and embed responses, server mood detection
- Discord bridge plugin: fixed .pop() to .get() (UserMessage is a Pydantic
  BaseModelDict, not a raw dict), metadata extraction via extra attributes
- Unified docker-compose: Cat + Qdrant services merged into main compose,
  bot depends_on Cat healthcheck
- All plugins (discord_bridge, memory_consolidation, miku_personality)
  consolidated into cat-plugins/ for volume mount
- query_llama deprecated but functional for compatibility

bot/globals.py

@@ -29,6 +29,12 @@ EVIL_TEXT_MODEL = os.getenv("EVIL_TEXT_MODEL", "darkidol")  # Uncensored model f
 JAPANESE_TEXT_MODEL = os.getenv("JAPANESE_TEXT_MODEL", "swallow")  # Llama 3.1 Swallow model for Japanese
 OWNER_USER_ID = int(os.getenv("OWNER_USER_ID", "209381657369772032"))  # Bot owner's Discord user ID for reports
 
+# Cheshire Cat AI integration (Phase 3)
+CHESHIRE_CAT_URL = os.getenv("CHESHIRE_CAT_URL", "http://cheshire-cat:80")
+USE_CHESHIRE_CAT = os.getenv("USE_CHESHIRE_CAT", "false").lower() == "true"
+CHESHIRE_CAT_API_KEY = os.getenv("CHESHIRE_CAT_API_KEY", "")  # Empty = no auth
+CHESHIRE_CAT_TIMEOUT = int(os.getenv("CHESHIRE_CAT_TIMEOUT", "120"))  # Seconds
+
 # Language mode for Miku (english or japanese)
 LANGUAGE_MODE = "english"  # Can be "english" or "japanese"