feat: memory system fixes and Redis config cleanup (v1.3.0)

- Fix Qdrant client to use query_points API (qdrant-client >= 1.10)
- Rename REDIS_DB to REDIS_BENCHMARK_DB for clarity
- Update Redis defaults to match stack allocation (benchmark=6, memory=1)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.env.example

@@ -21,7 +21,8 @@ SEARXNG_TIMEOUT=30
 # Redis Configuration
 REDIS_HOST=redis-shared
 REDIS_PORT=6379
-REDIS_DB=1
+REDIS_MEMORY_DB=1
+REDIS_BENCHMARK_DB=6
 REDIS_TIMEOUT=5
 
 # Logging
@@ -30,4 +31,4 @@ ENABLE_BENCHMARKS=true
 # Note: Log format is auto-selected based on ENVIRONMENT (console for dev, json for production)
 
 # CORS (comma-separated list)
-CORS_ORIGINS=*
+CORS_ORIGINS=["*"]

CHANGELOG.md

@@ -7,6 +7,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.3.0] - 2025-12-14
+
+### Fixed
+
+- **Memory**: Update Qdrant client to use `query_points` API (qdrant-client >= 1.10)
+
+### Changed
+
+- **Config**: Rename `REDIS_DB` to `REDIS_BENCHMARK_DB` for clarity
+- **Config**: Update Redis defaults to match stack allocation (benchmark=6, memory=1)
+
 ## [1.2.5] - 2025-12-14
 
 ### Fixed

DEPENDENCY_SLIM.md

@@ -1,72 +0,0 @@
-# Dependency Slimming: pydantic-ai → pydantic-ai-slim
-
-**Date**: 2025-12-13
-**Version**: Post v1.2.0
-
-## Change
-
-Switched from `pydantic-ai` to `pydantic-ai-slim[openai]` to reduce container image size.
-
-### Before
-```
-pydantic-ai>=1.27,<1.28
-```
-
-This installs SDKs for ALL LLM providers:
-- anthropic
-- boto3 + botocore (AWS Bedrock)
-- cohere
-- google-genai + google-auth
-- groq
-- huggingface-hub
-
-Total packages: ~158
-
-### After
-```
-pydantic-ai-slim[openai]>=1.27,<1.28
-```
-
-Only installs the OpenAI-compatible SDK. Ollama works through this interface.
-
-Expected packages: ~80-90 (significant reduction)
-
-## Why This Works
-
-Tatlock uses Ollama exclusively, which implements the OpenAI-compatible API. The code uses:
-```python
-from pydantic_ai.models.openai import OpenAIChatModel
-from pydantic_ai.providers.ollama import OllamaProvider
-
-model = OpenAIChatModel(
-    model_name=config.OLLAMA_DEFAULT_MODEL,
-    provider=OllamaProvider(base_url=f"{config.OLLAMA_HOST}/v1")
-)
-```
-
-This pattern only requires the `openai` extra, not the full pydantic-ai package.
-
-## Rollback Instructions
-
-If this change breaks things:
-
-1. Revert requirements.txt:
-```diff
-- pydantic-ai-slim[openai]>=1.27,<1.28
-+ pydantic-ai>=1.27,<1.28
-```
-
-2. Reinstall dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-3. Delete this file once confirmed stable.
-
-## Testing Checklist
-
-- [ ] Unit tests pass
-- [ ] Integration tests pass (with Ollama running)
-- [ ] Wakeup script e2e test passes
-- [ ] Container builds successfully
-- [ ] Container runs correctly

README.md

@@ -432,7 +432,7 @@ For LLM agent development guidelines and architectural decisions, see [AGENTS.md
 
 ## Version
 
-Current version: **1.2.5** - Dependency fix
+Current version: **1.3.0** - Memory system fixes and Redis config cleanup
 
 ---
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tatlock"
-version = "1.2.5"
+version = "1.3.0"
 description = "OpenAI-compatible API with Ollama backend"
 requires-python = ">=3.12"
 dependencies = []

src/core/config.py

@@ -101,9 +101,9 @@ class Config(BaseSettings):
         default=6379,
         description="Redis server port"
     )
-    REDIS_DB: int = Field(
+    REDIS_BENCHMARK_DB: int = Field(
-        default=1,
+        default=6,
-        description="Redis database number"
+        description="Redis database number for benchmarks"
     )
     REDIS_TIMEOUT: int = Field(
         default=5,
@@ -146,7 +146,7 @@ class Config(BaseSettings):
 
     # Redis Memory Database (separate from benchmarks)
     REDIS_MEMORY_DB: int = Field(
-        default=2,
+        default=1,
         description="Redis database number for memory cache"
     )
     REDIS_MEMORY_TTL_HOURS: int = Field(
@@ -170,7 +170,7 @@ class Config(BaseSettings):
     @property
     def redis_url(self) -> str:
         """Construct Redis connection URL for benchmarks."""
-        return f"redis://{self.REDIS_HOST}:{self.REDIS_PORT}/{self.REDIS_DB}"
+        return f"redis://{self.REDIS_HOST}:{self.REDIS_PORT}/{self.REDIS_BENCHMARK_DB}"
 
     @property
     def redis_memory_url(self) -> str:

src/core/qdrant.py

@@ -232,14 +232,14 @@ class MemoryQdrantClient:
                     ]
                 )
 
-            # Search
+            # Search using new Query API (qdrant-client >= 1.10)
-            results = self._client.search(
+            results = self._client.query_points(
                 collection_name=collection_name,
-                query_vector=query_vector,
+                query=query_vector,
                 limit=limit,
                 query_filter=query_filter,
                 score_threshold=score_threshold,
-            )
+            ).points
 
             # Format results
             memories = []