Commit Graph

4 Commits

Author SHA1 Message Date
ad6747c242 feat(profile): /api/profile + eligibility filter + inference framework (ADR-0014 steps 4-6)
Step 4 — /api/profile read-through API:
  GET  /api/profile          → { user, prefs, consents, contexts }
  PATCH /api/profile/prefs/:scope  upsert user_preferences (source='user')
  PATCH /api/profile/consents      grant / revoke consent keys
  PATCH /api/profile/contexts      create / activate / deactivate contexts
  Legacy consentGiven bit folded in as data:core fallback.

Step 5 — registry-driven eligibility filter:
  fetchRegistry() exported from agent-registry.ts.
  profile/eligibility.ts: getEligibleAgentIds(userId) — filters by required
  consents, silenced_in_contexts, and user_preferences[enabled=false].
  fetchOrchestratorTip filters agent_outputs to eligible set before calling
  ml/serving /recommend. Fail-closed: registry unavailable → empty set.

Step 6 — shared context-inference framework (#111) + time-of-day proof (#112):
  ml/agents/inference/: UserHistory, FeedbackEvent, run_inference().
  Framework: cold-start, min_history gating, error fallback, structured logs.
  TimeOfDayAgent v1.1.0: inferred_params=[preferred_hour]; also reads
  quiet_start/quiet_end from agent_prefs. agent_prefs injected by TS caller.
  AgentInput gains agent_prefs field.
  ml/serving: POST /agents/{agent_id}/infer endpoint.
  agent-outputs.ts computeAndStore: loads prefs before compute, calls /infer
  after, persists results (source='inferred'); user overrides never touched.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-05 11:14:25 +00:00
41302d9f36 fix: repair Docker build — TS errors and missing docs in image
- Remove unused `httpx` import from bench.ts (package does not exist)
- Add explicit `IRouter` type on `router` in agent-outputs.ts and bench.ts
  to resolve TS2742 portable-type errors
- Remove `docs` from .dockerignore so Dockerfile.admin can copy it into
  the runner image (DOCS_ROOT=/app/docs is read at runtime by the admin)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-04 10:52:27 +00:00
7e958a779d feat(api): agent pre-compute scheduler (ADR-0013 step 5)
Extracts computeAndStore() from the /agents/:agentId/compute route so it
can be called without an HTTP round-trip. startAgentPrecomputeScheduler()
runs every 15 min: fetches active users (tip view in 48h), runs all agents
in parallel per user, then purges outputs expired >24h. Agent IDs are
resolved from ml/serving /health at startup with a fallback hardcoded list.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-04 10:29:50 +00:00
f8d66aa01f chore: remove Airflow completely from the stack
Drop all four Airflow containers (db, init, webserver, scheduler) from the
mlops compose profile, leaving MLflow as the sole mlops service. Remove
AIRFLOW_* env vars, config fields, health-check entries, DAG trigger code
in admin/bench routes, the airflow_dag_run_id schema column, Airflow nav
links and DAG-run links in the admin UI, the two Airflow DAG files
(bench_dag.py, sim_dag.py), and all related docs/ADR references.
Simulations now run exclusively via the subprocess path.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-03 16:38:46 +00:00