alvis
161e654027
Convert ml-serving from isolated MLflow runs to nested traces using mlflow.start_span_no_context(). The recommend endpoint now emits a full span tree: recommend (CHAIN) → build_context (TOOL), agent:* (AGENT) ×N, llm_orchestrator (LLM). Compute and infer endpoints each emit a single span. Supporting changes: - mlflow-skinny>=3.1.0 added to requirements - MLflow configured with --serve-artifacts + mlflow-artifacts:/ default root for cross-container artifact proxy (spans now persist from ml-serving) - --allowed-hosts extended to include mlflow:5000 (SDK includes port in Host) - science_destiny slider wired through prompts.py and recommend endpoint - Config page exposes science/destiny slider (0=data-driven, 100=intuitive) - Tip page shows rationale inline on tap Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
apps/web
Next.js PWA. Phase 0 scope: three pages.
| Route | Purpose |
|---|---|
/sign-in |
Google/Apple OAuth buttons. No form. |
/connect |
List of integrations (cards). Tap → OAuth. Tap connected card → disconnect. |
/ (tip) |
Pure black background. One tip centered. Tap gestures: done / snooze / dismiss. |
Design notes
- The tip page is the product. Treat it like a watch face.
- Zero chrome, no nav bar, no settings icon while a tip is showing. Long-press reveals actions.
- Offline-first: last tip is cached; reactions queued until reconnect.