Status of the build (all milestones through s10 complete and committed).
- s0 Scaffold — uv project, pyproject, gitignore, README stub
- s1 Core package — config, logging, state/models, hello-world LangGraph agent
- s2 GitHub repo pushed (public)
- s3 Tools — web search, NAICS lookup, compliance RAG tool
- s4 Full graph — supervisor + research/qualification/compliance/report agents, HITL interrupt
- s5 RAG pipeline — Qdrant hybrid (BM42 + dense + RRF), cross-encoder rerank, Redis semantic cache
- s6 Memory extraction loop on PostgresStore
- s7 FastAPI SSE streaming + HITL resume API
- s8 MCP 2.0 server exposing
compliance_search - s9 Evals harness (offline FakeLLM + live LLM tiers) + promptfoo CI config
- s10 GitHub Actions CI + Docker compose (qdrant / redis / postgres / api)
- s11 Production docs — README, architecture, API contract, roadmap, final review
- Auth on the API (API keys / gateway) before real deployment
- Ingestion CLI + scheduler for the carrier corpus (watch a docs directory, re-index)
- More corpus: state-specific commercial auto, E&O, umbrella, workers-comp by class
- Live LLM-judge evals wired into CI (needs a provider key in GitHub secrets)
- Deployment: managed Postgres + Qdrant Cloud + Redis, uvicorn workers behind a load
balancer,
brokeriq-mcpas a hosted SSE/streamable-http MCP endpoint - Feedback loop: real broker decisions on HITL reviews → retrain ICP thresholds