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ac1226c367e3c3562c46efcffb2f6666cba54097
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4 Commits

Author SHA1 Message Date
alvis
772bb6e194 feat(consents): auto-grant data:<provider> on connect; remove agent: consents (ADR-0015) 
- integrations.ts: grant data:<provider> on OAuth callback, revoke on disconnect
- Backfill migration: INSERT OR IGNORE data:<provider> for all active tokens
- Agent manifests: drop agent:<id> from required_consents (momentum, time-of-day,
  overdue-task, recent-patterns, health-vitals) — per-agent control is a preference
- eligibility.ts: update comment to reflect data:-only consent model
- test_manifest.py: assert no agent: consents remain in any manifest
- migrations.test.ts: backfill idempotency tests for issue #127
- Dockerfile.api: drop --offline flag (fixes ERR_PNPM_NO_OFFLINE_META)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-12 15:09:58 +00:00
alvis
e40dfdcbb0 chore(infra): wire MLflow/Airflow env vars, fix healthcheck, add .dockerignore
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Details 
- docker-compose: pass ML_SERVING_URL, MLFLOW_URL, AIRFLOW_URL + creds to api service
- docker-compose: pass NEXT_PUBLIC_MLFLOW_URL/AIRFLOW_URL to admin service
- docker-compose: replace wget healthcheck with node fetch (wget not in node image)
- docker-compose: enable Airflow basic_auth API backend; add MLflow pip dep for DAGs
- Dockerfiles: tighten layer caching, add .dockerignore

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-26 12:08:43 +00:00
alvis
85367aeaa0 feat: MLOps external services, AI stack planning, admin MLOps hub 
Infrastructure:
- Add `mlops` compose profile: MLflow (basic-auth, /mlflow path) + Airflow (LocalExecutor, /airflow path) + airflow-db
- infra/mlflow/basic_auth.ini for MLflow auth config
- Caddy routes /mlflow* and /airflow* inside existing o.alogins.net block (see agap_git)
- Dockerfile.admin: NEXT_PUBLIC_MLFLOW_URL / NEXT_PUBLIC_AIRFLOW_URL build args (default /mlflow, /airflow)

Admin panel:
- /admin/models: replace MLflow iframe with external link cards
- /admin/experiments: replace LinUCB stats with MLOps hub (links to MLflow experiments/models + Airflow DAGs/datasets)
- AdminShell: external nav links for MLflow ↗ and Airflow ↗ under MLOps section

Docs & planning:
- README: new AI stack section (Ollama/LiteLLM/OpenWebUI three-tier, tip generation pipeline, model aliases)
- README: Phase 2 expanded with AI infra issues (#86-#93) and granular pipeline breakdown
- README: Phase 4 expanded with LLM MLOps items (#94-#97)
- CLAUDE.md: AI stack section, updated current phase (M1 shipped / M2 in progress), compose profiles, updated What NOT to do
- docs/architecture/overview.md: AI stack section, updated decision flow diagram for Phase 2 LLM pipeline
- ADR-0006: updated to reflect external services (path-based, not embedded)
- Gitea issues #86-#97 created (M2: AI infra + pipeline; M4: LLM MLOps)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-17 08:20:44 +00:00
alvis
65218762be feat: Phase 0 walking skeleton — monorepo, API, web, ML stub 
Sets up the full Phase 0 foundation:

- pnpm workspaces + turbo build graph; native module build approval
- packages/shared-types: HTTP contracts (Tip, Auth, Integrations, User)
- services/api: Express modular monolith with better-sqlite3/drizzle
  - auth: Google OAuth2 + PKCE via openid-client v6, cookie sessions
  - integrations: Todoist OAuth2 connect/disconnect, token vault
  - recommender: RandomPolicy over Todoist tasks, feedback sink
  - user: profile, consent capture, full account deletion (GDPR)
- apps/web: Next.js 15, three pages (sign-in → connect → tip)
  - tip page: black canvas, hold-to-act gesture, action sheet
  - PWA manifest + theme
- ml/serving: FastAPI stub implementing the POST /score contract
- infra: docker-compose (core/full profiles), Dockerfiles, CI skeleton
- .env.example with all required vars documented

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-14 12:41:24 +00:00