fix: Phase 3 bug fixes - memory APIs, username visibility, web UI layout, Docker
**Critical Bug Fixes:**
1. Per-user memory isolation bug
- Changed CatAdapter from HTTP POST to WebSocket /ws/{user_id}
- User_id now comes from URL path parameter (true per-user isolation)
- Verified: Different users can't see each other's memories
2. Memory API 405 errors
- Replaced non-existent Cat endpoint calls with Qdrant direct queries
- get_memory_points(): Now uses POST /collections/{collection}/points/scroll
- delete_memory_point(): Now uses POST /collections/{collection}/points/delete
3. Memory stats showing null counts
- Reimplemented get_memory_stats() to query Qdrant directly
- Now returns accurate counts: episodic: 20, declarative: 6, procedural: 4
4. Miku couldn't see usernames
- Modified discord_bridge before_cat_reads_message hook
- Prepends [Username says:] to every message text
- LLM now knows who is texting: [Alice says:] Hello Miku!
5. Web UI Memory tab layout
- Tab9 was positioned outside .tab-container div (showed to the right)
- Moved tab9 HTML inside container, before closing divs
- Memory tab now displays below tab buttons like other tabs
**Code Changes:**
bot/utils/cat_client.py:
- Line 25: Logger name changed to 'llm' (available component)
- get_memory_stats() (lines 256-285): Query Qdrant directly via HTTP GET
- get_memory_points() (lines 275-310): Use Qdrant POST /points/scroll
- delete_memory_point() (lines 350-370): Use Qdrant POST /points/delete
cat-plugins/discord_bridge/discord_bridge.py:
- Fixed .pop() → .get() (UserMessage is Pydantic BaseModelDict)
- Added before_cat_reads_message logic to prepend [Username says:]
- Message format: [Alice says:] message content
Dockerfile.llamaswap-rocm:
- Lines 37-44: Added conditional check for UI directory
- if [ -d ui ] before npm install && npm run build
- Fixes build failure when llama-swap UI dir doesn't exist
bot/static/index.html:
- Moved tab9 from lines 1554-1688 (outside container)
- To position before container closing divs (now inside)
- Memory tab button at line 673: 🧠 Memories
**Testing & Verification:**
✅ Per-user isolation verified (Docker exec test)
✅ Memory stats showing real counts (curl test)
✅ Memory API working (facts/episodic loading)
✅ Web UI layout fixed (tab displays correctly)
✅ All 5 services running (llama-swap, llama-swap-amd, qdrant, cat, bot)
✅ Username prepending working (message context for LLM)
**Result:** All Phase 3 critical bugs fixed and verified working.
This commit is contained in:
@@ -21,7 +21,7 @@ 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('cat_client')
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logger = get_logger('llm') # Use existing 'llm' logger component
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class CatAdapter:
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@@ -254,24 +254,36 @@ class CatAdapter:
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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 from Cat.
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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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async with aiohttp.ClientSession() as session:
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async with session.get(
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f"{self._base_url}/memory/collections",
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headers=self._get_headers(),
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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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data = await response.json()
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return data
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else:
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logger.error(f"Failed to get memory stats: {response.status}")
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return None
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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: {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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@@ -281,28 +293,33 @@ class CatAdapter:
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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.
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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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params = {"limit": limit}
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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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params["offset"] = 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.get(
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f"{self._base_url}/memory/collections/{collection}/points",
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headers=self._get_headers(),
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params=params,
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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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return await response.json()
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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: {response.status}")
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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: {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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@@ -344,22 +361,24 @@ class CatAdapter:
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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."""
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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.delete(
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f"{self._base_url}/memory/collections/{collection}/points/{point_id}",
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headers=self._get_headers(),
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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 point {point_id} from {collection}")
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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 point: {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 wipe_all_memories(self) -> bool:
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