4 Commits

Author	SHA1	Message	Date
alvis	e96ceb7ee1	feat(auth): token-based admin authentication for Playwright/CI (#105) ... Add POST /api/auth/token — validates ADMIN_TOKEN env var, creates a 24h session and sets the sid cookie so automated tools can access the admin panel without Google OAuth. Admin login page gains a token input form. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-26 12:07:43 +00:00
alvis	9e96540bcc	feat(admin): per-user profile view + rebuild action (#81 phase B.1) ... Surfaces phase A's profile features in /admin/users/:id so we can verify they're actually computing useful values before investing in bandit consumption. The detail GET now includes profile rows joined with registry metadata (name, value, age, fresh badge, ttlSec, description). Read does NOT trigger compute — staleness must be visible. A new POST .../profile/rebuild button force-recomputes and is audit-logged like reset-bandit. Refs #81. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-25 00:27:08 +00:00
alvis	aa4bdd8f09	feat(admin): LLM tip quality dashboard — per-model/prompt/kind breakdowns ... /admin/reward-analytics now surfaces served count, reaction rate, and avg reward grouped by llm_model, prompt_version, and tip_kind — closing the loop so model/prompt iterations in M2 are legible next to the bandit policy view. Data comes from the tip_scores columns added in ffdf707 and tip_feedback.reward_milli; bandit-only tips show as "(bandit-only)". Closes #92. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-24 15:24:52 +00:00
alvis	faf44c18fc	feat: ε-greedy v1 as active policy; dwell-time reward inference; offline sim framework ... - 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>	2026-04-16 07:44:37 +00:00