POST /recommend now calls ml/serving /recommend with pre-computed agent
snippets + task context instead of /generate + /score/egreedy/v2. Falls
back to a random signal candidate when ml/serving is unavailable.
Removes: remotePolicy, fetchLlmCandidates, sendRewardWithRetry,
candidateCache, pickPromptVersion. Feedback handler keeps inferReward +
tipFeedback writes for observability; reward delivery to the bandit is gone.
tipScores.policy is now 'orchestrator'; promptVersion is 'v4-orchestrator'.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Centralizes user-level features (completion_rate_30d, dismiss_rate_30d,
mean_dwell_ms_30d, preferred_hour, tip_volume_30d) in a TS registry that
owns both definition and SQL aggregation, since the data lives in the
TS-owned SQLite tables (tip_views/tip_feedback). Lazy TTL refresh keeps
recommend latency bounded; values persist in user_profile_features (KV).
ml/serving accepts profile_features on /score + /generate but does not
yet consume them — extending the bandit feature vector changes D and
resets every user's learned state, so that's a deliberate phase-B step.
Includes ml/features/profile_schema.py as a contract mirror with a sync
test that diffs name sets against registry.ts.
ADR-0011 records the data-locality reasoning (registry in TS, not Python
as the issue originally suggested).
Phase B (deferred): event-driven incremental updates, bandit consumption
with state migration, admin per-user profile page, staleness alerts.
Refs #81.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replaces the hardcoded "v1" label with a real prompt registry:
ml/serving/prompts.py — keyed by version: v1 (baseline),
v2-mentor (calm/specific persona),
v3-few-shot (v1 persona + curated examples)
ml/serving/main.py — POST /generate accepts optional prompt_version,
422 on unknown, echoes the version actually used
back in the response
services/api/src/config.ts — TIP_PROMPT_VERSION: empty / single / comma-list
(uniform random per request)
services/api/src/routes/recommender.ts
— pickPromptVersion() drives selection; the
response's prompt_version (not a stale TS
constant) is what lands in tip_scores so the
#92 reward-analytics dashboard shows real
per-variant reaction rates
Closes#84.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Add Signal + SignalSource interfaces to packages/shared-types
- TipCandidate.features widened to Record<string,number|boolean> to match Signal
- TodoistSignalSource: encapsulates fetch, cache, 401 handling, bus events, and act()
- SignalAggregator: parallel fan-out across sources with per-source failure isolation
- Recommender refactored to consume Signal[] via aggregator; source action dispatch via aggregator.act()
- ADR-0009: signal normalization strategy
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
