feat: memory system fixes and Redis config cleanup (v1.3.0)
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- 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>
This commit is contained in:
+3
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@@ -21,7 +21,8 @@ SEARXNG_TIMEOUT=30
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# Redis Configuration
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# Redis Configuration
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REDIS_HOST=redis-shared
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REDIS_HOST=redis-shared
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REDIS_PORT=6379
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REDIS_PORT=6379
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REDIS_DB=1
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REDIS_MEMORY_DB=1
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REDIS_BENCHMARK_DB=6
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REDIS_TIMEOUT=5
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REDIS_TIMEOUT=5
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# Logging
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# Logging
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@@ -30,4 +31,4 @@ ENABLE_BENCHMARKS=true
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# Note: Log format is auto-selected based on ENVIRONMENT (console for dev, json for production)
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# Note: Log format is auto-selected based on ENVIRONMENT (console for dev, json for production)
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# CORS (comma-separated list)
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# CORS (comma-separated list)
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CORS_ORIGINS=*
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CORS_ORIGINS=["*"]
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@@ -7,6 +7,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [Unreleased]
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## [1.3.0] - 2025-12-14
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### Fixed
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- **Memory**: Update Qdrant client to use `query_points` API (qdrant-client >= 1.10)
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### Changed
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- **Config**: Rename `REDIS_DB` to `REDIS_BENCHMARK_DB` for clarity
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- **Config**: Update Redis defaults to match stack allocation (benchmark=6, memory=1)
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## [1.2.5] - 2025-12-14
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## [1.2.5] - 2025-12-14
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### Fixed
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### Fixed
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@@ -432,7 +432,7 @@ For LLM agent development guidelines and architectural decisions, see [AGENTS.md
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## Version
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## Version
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Current version: **1.2.5** - Dependency fix
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Current version: **1.3.0** - Memory system fixes and Redis config cleanup
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---
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---
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+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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[project]
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name = "tatlock"
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name = "tatlock"
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version = "1.2.5"
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version = "1.3.0"
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description = "OpenAI-compatible API with Ollama backend"
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description = "OpenAI-compatible API with Ollama backend"
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requires-python = ">=3.12"
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requires-python = ">=3.12"
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dependencies = []
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dependencies = []
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+5
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@@ -101,9 +101,9 @@ class Config(BaseSettings):
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default=6379,
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default=6379,
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description="Redis server port"
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description="Redis server port"
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)
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)
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REDIS_DB: int = Field(
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REDIS_BENCHMARK_DB: int = Field(
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default=1,
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default=6,
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description="Redis database number"
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description="Redis database number for benchmarks"
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)
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)
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REDIS_TIMEOUT: int = Field(
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REDIS_TIMEOUT: int = Field(
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default=5,
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default=5,
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@@ -146,7 +146,7 @@ class Config(BaseSettings):
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# Redis Memory Database (separate from benchmarks)
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# Redis Memory Database (separate from benchmarks)
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REDIS_MEMORY_DB: int = Field(
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REDIS_MEMORY_DB: int = Field(
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default=2,
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default=1,
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description="Redis database number for memory cache"
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description="Redis database number for memory cache"
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)
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)
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REDIS_MEMORY_TTL_HOURS: int = Field(
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REDIS_MEMORY_TTL_HOURS: int = Field(
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@@ -170,7 +170,7 @@ class Config(BaseSettings):
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@property
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@property
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def redis_url(self) -> str:
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def redis_url(self) -> str:
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"""Construct Redis connection URL for benchmarks."""
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"""Construct Redis connection URL for benchmarks."""
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return f"redis://{self.REDIS_HOST}:{self.REDIS_PORT}/{self.REDIS_DB}"
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return f"redis://{self.REDIS_HOST}:{self.REDIS_PORT}/{self.REDIS_BENCHMARK_DB}"
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@property
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@property
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def redis_memory_url(self) -> str:
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def redis_memory_url(self) -> str:
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+4
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@@ -232,14 +232,14 @@ class MemoryQdrantClient:
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]
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]
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)
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)
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# Search
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# Search using new Query API (qdrant-client >= 1.10)
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results = self._client.search(
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results = self._client.query_points(
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collection_name=collection_name,
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collection_name=collection_name,
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query_vector=query_vector,
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query=query_vector,
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limit=limit,
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limit=limit,
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query_filter=query_filter,
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query_filter=query_filter,
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score_threshold=score_threshold,
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score_threshold=score_threshold,
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)
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).points
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# Format results
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# Format results
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memories = []
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memories = []
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