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3 Commits
Author SHA1 Message Date
jpmschweitzerandClaude Opus 4.5 64cad4500a feat: environment-aware config, direct delegation, E2E test suite (v1.4.0)
Build and Push / build (release) Successful in 52s
### Added
- Environment-aware configuration:
  - Auto-selected logging (DEBUG for dev, WARNING for prod)
  - Auto-selected default user (llm_tester for dev isolation)
  - User context logging at request entry
- Direct delegation bypass:
  - Pure memory/librarian requests skip Tatlock LLM
  - Reduces latency for memory-only requests
- Text-based delegation fallback:
  - Parse [DELEGATE:agent] patterns from LLM output
  - Sequential and parallel execution support
- Comprehensive E2E test suite:
  - 22 orchestration tests with QdrantVerifier
  - assert_llm_behavior() for flexible pattern matching
  - Tests for memory, delegation, isolation, scenarios

### Fixed
- Unit test mocks for streaming (async generator)
- Temporal context handling in tests
- LLM non-determinism with pytest.xfail()
- Streaming test timeouts increased

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-14 21:19:47 +01:00
jpmschweitzerandClaude Opus 4.5 40663511b4 feat: memory system fixes and Redis config cleanup (v1.3.0)
Build and Push / build (release) Successful in 26s
- 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)

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-14 14:36:56 +01:00
jpmschweitzerandClaude Opus 4.5 4c6ac89808 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.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-13 17:27:51 +01:00