docs(ml): serving README + update ml/README and CLAUDE.md for #98
- ml/serving/README.md: new — contract, JetStream consumer docs, config, health story, extraction criteria, state file reference - ml/README.md: note JetStream consumers in serving/ row - CLAUDE.md: update active work to reflect #98 shipped, #99 still pending Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -100,7 +100,7 @@ Ollama and LiteLLM are **shared Agap services**, not oO services — they live i
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**M1 shipped. M2 (AI tips) in progress.** See `README.md` for the phase roadmap and `docs/architecture/` for diagrams. Work is tracked as Gitea milestones + issues on `alvis/oO`.
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Active work: AI tip generation pipeline — issues #86–#93 in M2 milestone.
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Active work: bandit promotion (#99 — offline sim + ADR-0012 pending) and M2 issues (#54 schema registry, #61 freshness SLAs, #78 signal abstraction, #93 model benchmark).
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## What NOT to do
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@@ -4,7 +4,7 @@ Python. Owns models, features, training, online scoring.
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| Dir | Role | Phase |
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|---|---|---|
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| `serving/` | FastAPI online scorer (`/score`, `/generate`) + LiteLLM gateway + prompt registry (`prompts.py`), called by `recommender` | 1–2 |
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| `serving/` | FastAPI online scorer (`/score`, `/generate`) + LiteLLM gateway + prompt registry (`prompts.py`) + JetStream consumers for `signals.>` / `feedback.>`, called by `recommender` | 1–2 |
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| `features/` | context assembler (`context.py`): signals → `PromptContext`; Feast adapter later | 2 |
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| `pipelines/` | batch feature + training DAGs (Prefect/Airflow) | 4 |
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| `registry/` | MLflow-backed model registry integration | 4 |
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94
ml/serving/README.md
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94
ml/serving/README.md
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@@ -0,0 +1,94 @@
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# 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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**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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## 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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## 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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