  jpmschweitzerandClaude Opus 4.5
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4c6ac89808
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feat: add Phase F.1 memory infrastructure
Add multi-tenancy support and memory storage infrastructure:
- Add ContextVar-based request context (src/core/context.py)
- Async-safe user/conversation tracking via contextvars
- RequestContext manager for clean setup/teardown
- get_user(), get_conversation_id() helpers
- Add multi-tenancy utilities (src/core/multi_tenancy.py)
- User ID sanitization for collection/key names
- get_memory_collection_name(), get_session_key() helpers
- Add Ollama embedding client (src/core/embeddings.py)
- nomic-embed-text model (768 dimensions)
- embed(), embed_batch(), health_check() methods
- Add Qdrant client wrapper (src/core/qdrant.py)
- Per-user collection pattern: memories_{user}
- upsert_memory(), search_memories(), delete_memory()
- Type-based filtering support
- Add Redis memory cache (src/core/memory_cache.py)
- Session context with 24h TTL
- Recent entities tracking
- Separate from benchmarks (db=2)
- Update config with memory settings
- QDRANT_HOST, QDRANT_PORT, QDRANT_EMBEDDING_DIM
- OLLAMA_EMBEDDING_MODEL
- REDIS_MEMORY_DB, REDIS_MEMORY_TTL_HOURS
- Add user field to ResponseRequest (OpenAI standard)
- Set context in router, reset in finally block
- Update librarian client to use get_user() (12 methods)
All 333 unit tests pass.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2025-12-13 17:27:51 +01:00 |
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