- Promote egreedy-v1 to active serving policy (ADR-0007): /score/egreedy + /reward/egreedy
replaces linucb-v1 endpoints after offline sim shows +10.7% mean reward (−0.548 vs −0.606)
- Replace explicit helpful/not_helpful feedback with dwell-time inferred reward (inferReward):
dismiss=−1.0, snooze=+0.1, done<15s=−0.3, done 15s–2min=+1.0, done 2–10min=+0.6, done>10min=+0.3
- Add ml/serving ε-greedy endpoints: /score/egreedy, /reward/egreedy, /stats/egreedy/{user_id}
with d=7 feature vector (base 5 + sin/cos day-of-week encoding)
- Add offline simulation framework (ml/experiments/sim): rule/LLM/claude-code judges,
two-phase score+reward, synthetic personas, task generator; results stored in sim_runs/sim_events
- Add /admin/simulations page: start runs, live-poll status, reward curve SVG, action/persona tables
- Fix egreedy day_of_week training skew: reward endpoint now uses actual dow instead of hardcoded 0
- Fix runner.py proxy bypass: httpx.Client(trust_env=False) for localhost ML calls
- Add dwellMs to TipFeedbackEvent contract and bus.test.ts fixture
- Schema: sim_runs, sim_events tables; tip_feedback gains dwell_ms, reward_milli columns
- ADR-0006: admin console framework; ADR-0007: egreedy-v1 policy selection rationale
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
3.2 KiB
ADR-0006: Admin console framework — Next.js 15 + Tremor + shadcn/ui + embed specialist tools
Status
Accepted — 2026-04-15
Context
M1 ships a bandit-driven recommender, an event bus, and a live feedback loop. Without a cockpit to observe these systems, every model change ships blind. An admin console is needed to:
- Observe — DAU/WAU, tip outcomes, reaction rates, LinUCB arm stats, feature distributions
- Inspect — per-user identity, consents, integrations, reward history
- Act — revoke tokens, replay signals, reset a per-user bandit, promote a policy
- Audit — every operator action is logged
The team is two people. The stack is TypeScript/React/Tailwind. Any framework that forks the stack creates a context-switch tax and a second deployment surface.
Decision
App shell — apps/admin, Next.js 15, App Router
Same stack as apps/web. Reuses packages/shared-types, the Auth.js session cookie, and the API rewrite convention. Deployed at admin.o.alogins.net behind Caddy, port 3080 in dev.
UI libraries
| Layer | Library | Reason |
|---|---|---|
| Charts / KPI | Tremor | Analytics-first React + Tailwind components (KPI cards, time-series, bar lists). Designed for dashboards, not bolted on. |
| CRUD primitives | shadcn/ui | Copy-paste Radix components; forms, dialogs, command palette. No version lock-in — code lives in-repo. |
| Heavy grids | TanStack Table v8 | Sortable / paginated / virtualized tables for events, users, tips. |
| Extra charts | Recharts | Fallback where Tremor falls short (histograms, distributions). |
Embed, don't rebuild
Specialized tooling is reverse-proxied into the admin shell, not reimplemented:
- MLflow UI →
/admin/models(Caddy sub-path proxy) - Grafana panels →
/admin/infra(iframed or embedded panels) - Marimo notebooks → launch-out link from admin
This prevents reimplementing artifact browsers or graph renderers we'd never do as well.
AuthZ
profile.role column on the users table (values: 'user' | 'admin'). First admin seeded via ADMIN_SEED_EMAIL env var at startup. Admin-only gate in Next.js middleware checks the session and the role returned by GET /api/user/me. Every write action through the admin API is appended to an admin_actions audit log.
Rejected alternatives
| Option | Rejected because |
|---|---|
| Retool / AppSmith | Admin logic leaves the repo; weak analytics affordances |
| Streamlit / Gradio | Python-first; splits the frontend stack; thin RBAC |
| React-admin / Refine.dev | Strong CRUD scaffolding, analytics views feel bolted on |
| Superset / Metabase as the admin surface | Excellent BI, poor operational writes; plan: adopt Superset in M4 for BI alongside batch pipelines |
Consequences
- One more Next.js app in the monorepo. Build/dev added to Turborepo.
- Tremor + shadcn/ui are added as dependencies. shadcn components are copied into
apps/admin/src/components/ui/— no runtime version coupling. - MLflow and Grafana must be reachable from the Caddy reverse proxy; they are not embedded in the JS bundle.
admin_actionsaudit log grows unboundedly — needs a retention policy before M4.