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28a5ee996e
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feat(02-01): add two-layer memory system — Redis sliding window + pgvector long-term
- ConversationEmbedding ORM model with Vector(384) column (pgvector)
- memory_short_key, escalation_status_key, pending_tool_confirm_key in redis_keys.py
- orchestrator/memory/short_term.py: RPUSH/LTRIM sliding window (get_recent_messages, append_message)
- orchestrator/memory/long_term.py: pgvector HNSW cosine search (retrieve_relevant, store_embedding)
- Migration 002: conversation_embeddings table, HNSW index, RLS with FORCE, SELECT/INSERT only
- 10 unit tests (fakeredis), 6 integration tests (pgvector) — all passing
- Auto-fix [Rule 3]: postgres image updated to pgvector/pgvector:pg16 (extension required)
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2026-03-23 14:41:57 -06:00 |
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8257c554d7
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feat(01-02): Celery orchestrator — handle_message task, system prompt builder, LLM pool runner
- Create orchestrator/main.py: Celery app with Redis broker/backend, task_acks_late=True, 10-min timeout
- Create orchestrator/tasks.py: SYNC def handle_message (critical pattern: asyncio.run for async work)
- Deserializes KonstructMessage, sets RLS context, loads agent from DB, calls run_agent
- Retries up to 3x on deserialization failure
- Create orchestrator/agents/builder.py: build_system_prompt assembles system_prompt + identity + persona + AI transparency clause
- Create orchestrator/agents/runner.py: run_agent posts to llm-pool /complete via httpx, returns polite fallback on error
- Add Celery[redis] dependency to orchestrator pyproject.toml
- Create tests/integration/test_llm_fallback.py: 7 tests for fallback routing and 503 on total failure (LLM-01)
- Create tests/integration/test_llm_providers.py: 12 tests verifying all three providers configured correctly (LLM-02)
- All 19 integration tests pass
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2026-03-23 10:06:44 -06:00 |
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5714acf741
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feat(01-foundation-01): monorepo scaffolding, Docker Compose, and shared data models
- pyproject.toml: uv workspace with 5 member packages (shared, gateway, router, orchestrator, llm-pool)
- docker-compose.yml: PostgreSQL 16 + Redis 7 + Ollama services on konstruct-net
- .env.example: all required env vars documented, konstruct_app role (not superuser)
- scripts/init-db.sh: creates konstruct_app role at DB init time
- packages/shared/shared/config.py: Pydantic Settings loading all env vars
- packages/shared/shared/models/message.py: KonstructMessage, ChannelType, SenderInfo, MessageContent
- packages/shared/shared/models/tenant.py: Tenant, Agent, ChannelConnection SQLAlchemy 2.0 models
- packages/shared/shared/models/auth.py: PortalUser model for admin portal auth
- packages/shared/shared/db.py: async SQLAlchemy engine, session factory, get_session dependency
- packages/shared/shared/rls.py: current_tenant_id ContextVar and configure_rls_hook with parameterized SET LOCAL
- packages/shared/shared/redis_keys.py: tenant-namespaced key constructors (rate_limit, idempotency, session, engaged_thread)
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2026-03-23 09:49:28 -06:00 |
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