- services/api/README.md: new — contract, middleware stack, background tasks, config table (LOG_LEVEL, SENTRY_DSN), health story, extraction criteria - ml/serving/README.md: add Observability section (structlog JSON, traceparent → trace_id binding), add SENTRY_DSN + ENV to config table - services/recommender/README.md: fix policy table — egreedy-v2 is active (#99), egreedy-v1 is shadow Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
105 lines
4.4 KiB
Markdown
105 lines
4.4 KiB
Markdown
# ml/serving
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FastAPI online scorer, tip generator, and JetStream consumer.
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## Contract
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| Endpoint | Description |
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|----------|-------------|
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| `POST /score` | LinUCB d=5 (baseline, shadow-eligible) |
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| `POST /score/egreedy` | ε-greedy v1, d=7 (active policy — ADR-0007) |
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| `POST /score/egreedy/v2` | ε-greedy v2, d=12 + profile features (shadow — ADR-0012) |
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| `POST /reward` / `/reward/egreedy` / `/reward/egreedy/v2` | Online reward update per policy |
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| `POST /generate` | LLM tip candidates via LiteLLM `tip-generator` alias |
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| `GET /stats/{user_id}` / `/stats/egreedy/{user_id}` / `/stats/egreedy/v2/{user_id}` | Per-user policy stats |
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| `GET /features/{user_id}` | Last 100 scored feature vectors (ring buffer) |
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| `POST /reset/{user_id}` | Clear all per-user bandit state (admin) |
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| `GET /health` | `{ ok, nats: { enabled, consumers: { signals, feedback } } }` |
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Called by `services/api/src/recommender/` over HTTP. Contract is stable across policy swaps.
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## Feature dimensions
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| Policy | d | Extra dims vs previous |
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|--------|---|------------------------|
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| LinUCB v1 | 5 | hour_sin/cos, is_overdue, task_age, priority |
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| ε-greedy v1 | 7 | + dow_sin/cos |
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| ε-greedy v2 | 12 | + 5 profile features (ADR-0012) |
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Profile features are computed by the TypeScript API and shipped on each `/score` call as `profile_features`. See `ml/README.md` and ADR-0011.
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## JetStream consumers
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On startup, `nats_consumer.py` registers two durable push consumers against NATS JetStream:
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| Consumer | Stream | Subjects | Durable name |
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|----------|--------|----------|--------------|
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| signals | `signals` | `signals.>` | `feature-pipeline-signals` |
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| feedback | `feedback` | `feedback.>` | `feature-pipeline-feedback` |
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**Handled subjects:**
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- `signals.task.synced` — writes `{last_sync_ts, task_count}` to `{STATE_DIR}/{user}_sync.json`
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- `signals.tip.feedback` — logged for observability; reward update happens via the HTTP path in the recommender
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**Payload validation:** each message is validated against the pydantic models in `schemas.py` (mirroring `packages/shared-types/events/oo/events/v1/`). A `ValidationError` triggers a nak so the message is redelivered rather than silently dropped.
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**Ack semantics:** explicit ack on success; nak for redelivery on error; dead-lettered after `NATS_MAX_DELIVER` attempts.
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**Disabled** when `NATS_URL` is unset (default in local dev without NATS). No import of `nats-py` occurs in that case.
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## Observability
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Logs are structured JSON via **structlog**. Every line includes `level`, `logger`, `timestamp`, and — when a W3C `traceparent` header is present on the incoming request — `trace_id` bound via Python `contextvars`, so all log lines within a request carry the same trace ID as the upstream API call.
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Sentry error capture is active when `SENTRY_DSN` is set.
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## Config
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| Env var | Default | Description |
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|---------|---------|-------------|
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| `STATE_DIR` | `/tmp/oo-bandit-state` | Directory for per-user bandit state JSON files |
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| `LITELLM_URL` | `http://localhost:4000` | LiteLLM gateway |
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| `LITELLM_MASTER_KEY` | `sk-oo-dev` | LiteLLM auth key |
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| `NATS_URL` | `` | NATS broker URL; empty = consumers disabled |
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| `NATS_DURABLE_PREFIX` | `feature-pipeline` | Prefix for durable consumer names |
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| `NATS_MAX_DELIVER` | `5` | Max redelivery attempts before dropping |
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| `DEFAULT_PROMPT_VERSION` | `v1` | Fallback prompt version for `/generate` |
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| `ENV` | `development` | Environment label (passed to Sentry) |
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| `SENTRY_DSN` | `` | Sentry DSN; empty = Sentry disabled |
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## Health story
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`GET /health` returns `{ ok: true }` plus NATS consumer state:
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```json
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{
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"ok": true,
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"nats": {
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"enabled": true,
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"consumers": {
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"signals": { "last_msg_ts": "2026-04-25T10:00:00Z", "processed": 42, "errors": 0 },
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"feedback": { "last_msg_ts": null, "processed": 0, "errors": 0 }
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}
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}
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}
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```
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`last_msg_ts` is `null` until the first message arrives. Used by docker-compose healthcheck.
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## Extraction criteria
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Extract to its own process (already is one). Extract to a dedicated host / GPU node when:
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- p99 scoring latency exceeds 50 ms under load, **or**
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- model weights are too large to share memory with the Python process on the current host.
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## State
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Per-user bandit state is stored as JSON files in `STATE_DIR`:
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| File pattern | Policy |
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|---|---|
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| `{user}.json` | LinUCB v1 |
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| `{user}_egreedy.json` | ε-greedy v1 |
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| `{user}_egreedy_v2.json` | ε-greedy v2 |
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| `{user}_sync.json` | Last task sync metadata (written by JetStream consumer) |
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