Commit Graph

5 Commits

Author SHA1 Message Date
4283c602f6 fix(dispatch): liveness-aware coverage check, escalation rate limit, real alert sink
Prod findings (2026-09-22): a backend retry sweep failed 1,001 bookings in
60s; the agent called each a "coverage gap" because GEORADIUS found a miler
in the geo index (last seen in June), then sent 1,001 ops_alert tasks to
CUSTOMER_AGENT, which has no such handler.

- _find_zone filters GEORADIUS candidates by the backend's miler_status:<id>
  key; only status=Available counts. Facts now carry
  nearest_available_miler_within_km plus milers_in_geo_index_within_30km so
  the decision can separate "no riders here" from "riders exist, none on duty".
- Rate limit per zone per day: after the first alert, further failures only
  bump the counter (no LLM call); a summary re-alert goes out every
  DISPATCH_REALERT_EVERY (default 100).
- _ops_alert / _escalate_dispatch send EXCEPTION_DETECTED to JARVIS (the path
  that is actually handled); customer delay notice uses CUSTOMER_AGENT's real
  send_notification contract.
- JARVIS: escalation inbox (_escalations, pending_escalations()) and
  human_review/ops_alert task types are recorded instead of dropped.
- ExceptionAgent pull loops: also catch asyncio.TimeoutError (distinct from
  nats.errors.TimeoutError on 3.11) and log the exception type — the blank
  "pull loop error:" lines.
- Prompt + eval cases updated for the renamed facts; new case for the
  observed index-full/nobody-on-duty pattern. Tests for liveness filtering,
  burst suppression, fallback heuristic, sinks, and the JARVIS inbox.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012AJLYcbTHCe45fyFnMfEin
2026-09-22 16:26:27 +05:30
90cdb57a38 route optimizer agent with dailygrubs ai assign 2026-09-01 13:48:58 +05:30
Suriyakumarvijayanayagam
aa4d4c6549 feat: ExpressDispatchAgent — tenant-scoped batch assignment + sequencing
New agent that owns the DoormileExpress dispatch flow. The normal B2C booking
flow is untouched; this handles express orders that a console operator has let
accumulate batch by batch, then dispatches in one go.

Triggered by express.dispatch_requested (the console's manual dispatch action).
For the tenant it: reads the pending bookings and the tenant's available riders
(Go internal API), distributes them across riders by proximity + load with a
radius guard, asks routes.workolik.com (Valhalla) for each rider's stop order,
and writes the assignments back through the Go internal API — which stays the
single writer of assignment state; the agent only decides who and what order.

- agents/express_dispatch_agent.py: the agent (mirrors DispatchAgent's NATS
  binding; pure consumer of the backend-owned EXPRESS stream).
- config/system_config.py: ROUTE_OPTIMIZER_URL.
- registered under JARVIS in main.py / agents package.
- tests: distribution (radius, load, cap, no-GPS fallback) and sequencing
  (single-stop, remap, optimizer-down, unknown-id) — deterministic, no network.

Gated off by default on the backend (EXPRESS_AGENT_ENABLED); EXPRESS_AGENT_
AUTONOMOUS=false runs it observe-only (logs the plan, writes nothing).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-17 19:33:36 +05:30
377ee710a7 refactor: DispatchAgent watcher, ExceptionAgent consumer fix, JARVIS cleanup 2026-07-01 13:07:54 +05:30
f49193ee73 Initial commit 2026-06-26 16:08:31 +05:30