## Summary - Closes Phase 4 of [#62](#62): `evals/suite.json` (≥40 graded questions), `run_evals` management command, and manually-triggered `.gitea/workflows/run-evals.yml`. - Emits versioned WS `status` frames during grounded chat (evaluating / searching / reading_sources / refining / writing) for [chat_web_app#96](ai_ml_operations/chat_web_app#96). - Implements [#63](#63): Redis/Celery optional infra, `AgentRun`/`AgentStep`, tool registry (SSRF-safe `fetch_url`, tenant-scoped docs), LangGraph orchestrator, progress frames, REST `GET/POST /api/agent_runs/…`, gated by `ALLOW_AGENTIC_TASKS` (default off). ## Test plan - [x] `SKIP_RAG_INIT=1 uv run python manage.py test` for evals, ws frames, agent tools, consumers, grounding - [ ] Manual: with `ALLOW_AGENTIC_TASKS=false`, chat identical to today - [ ] Manual: status frames visible in FE with #96 branch - [ ] Manual (GPU): `python manage.py run_evals --runs 3` - [ ] Manual: `ALLOW_AGENTIC_TASKS=true` multi-step research prompt creates AgentRun + framesReviewed-on: #71
## Summary Implements [chat_backend#6](#6) Part A: - **uv** packaging (`pyproject.toml` + `uv.lock`), Docker/compose (dev + prod), entrypoint/validate-env, Gitea unit-test + auto-deploy workflows (mirror `scha`) - Env-driven Django settings (`DJANGO_*`, `DATABASE_URL`, CSRF/CORS) - **`OLLAMA_BASE_URL`** wired through all Ollama/LangChain clients (prod → `http://10.0.0.128:11434`) - **DatabaseStorage** — prompt/document file blobs in Postgres (`StoredFile`), not container FS; RAG materializes temp paths for loaders - ASGI via `gunicorn` + `UvicornWorker` (HTTP + WebSockets) Companion server-infra PR registers `app_catalog` / `host_apps` (port **8003**). ## Test plan - [ ] `uv sync && cd llm_be && SKIP_RAG_INIT=1 uv run python manage.py test` - [ ] `docker compose build && docker compose up` against bundled Postgres - [ ] Confirm Ollama calls use `OLLAMA_BASE_URL` (not hardcoded localhost) - [ ] Upload a document / prompt file → row in `chat_backend_storedfile`, no disk under `media/` - [ ] After server-infra merge + secret/Postgres/NPM: deploy via `deploy.sh --app chat_backend --env prod`Reviewed-on: #7