Drop all four Airflow containers (db, init, webserver, scheduler) from the mlops compose profile, leaving MLflow as the sole mlops service. Remove AIRFLOW_* env vars, config fields, health-check entries, DAG trigger code in admin/bench routes, the airflow_dag_run_id schema column, Airflow nav links and DAG-run links in the admin UI, the two Airflow DAG files (bench_dag.py, sim_dag.py), and all related docs/ADR references. Simulations now run exclusively via the subprocess path. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
63 lines
2.6 KiB
Plaintext
63 lines
2.6 KiB
Plaintext
# Copy to .env.local and fill in values — never commit .env.local
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# API
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SESSION_SECRET=change-me-to-a-random-32-char-string
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PORT=3078
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NODE_ENV=development
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DATABASE_PATH=./data/oo.db
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# API_BASE_URL = public origin only, no path suffix (used to build OAuth redirect URIs)
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API_BASE_URL=http://localhost:3078
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WEB_BASE_URL=http://localhost:3000
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ML_SERVING_URL=http://localhost:8000
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# MLflow (mlops profile) — http://localhost:5000/mlflow in dev, https://o.alogins.net/mlflow in prod.
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# MLFLOW_ADMIN_PASSWORD seeds the admin account on first boot (changing it after first run
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# requires the MLflow UI or API — see infra/mlflow/basic_auth.ini).
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MLFLOW_URL=http://localhost:5000
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MLFLOW_ADMIN_PASSWORD=change-me
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# Public URL shown as link in the admin sidebar (must be NEXT_PUBLIC_ to reach the browser).
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NEXT_PUBLIC_MLFLOW_URL=http://localhost:5000
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# Shared secret for internal API callbacks. Generate: openssl rand -hex 32
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INTERNAL_API_TOKEN=
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# Static token for automated/service access to the admin panel (e.g. Playwright tests).
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# Leave empty to disable token-based login. Generate: openssl rand -hex 32
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ADMIN_TOKEN=
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# AI stack — shared Agap services (ollama + litellm + langfuse). Not run from oO.
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# Prod: https://llm.alogins.net | Dev: http://host.docker.internal:4000 from containers,
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# http://localhost:4000 from host. Ollama: http://host.docker.internal:11434 / :11434.
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LITELLM_URL=https://llm.alogins.net
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LITELLM_MASTER_KEY=sk-oo-dev
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OLLAMA_URL=http://host.docker.internal:11434
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# Google OAuth — https://console.cloud.google.com/
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GOOGLE_CLIENT_ID=
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GOOGLE_CLIENT_SECRET=
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# VAPID (Web Push) — generate: node -e "const wp=require('web-push');console.log(JSON.stringify(wp.generateVAPIDKeys()))"
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VAPID_PUBLIC_KEY=
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VAPID_PRIVATE_KEY=
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VAPID_SUBJECT=mailto:you@example.com
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# Todoist OAuth — https://developer.todoist.com/appconsole.html
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TODOIST_CLIENT_ID=
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TODOIST_CLIENT_SECRET=
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# Event bus — leave NATS_URL empty for in-process bus only (no JetStream bridge).
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# Set to nats://nats:4222 (compose service name) or nats://localhost:4222 (host)
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# to mirror every publish to durable JetStream streams (signals.>, feedback.>).
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# Start the broker with: docker compose --profile events up nats
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NATS_URL=
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# How often the background scheduler refreshes Todoist tasks per active user (ms).
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TODOIST_SYNC_INTERVAL_MS=900000
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# Tip prompt selection — empty = use ml/serving default (v1).
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# Pin a single variant: "v2-mentor"
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# Rotate uniformly across variants: "v1,v2-mentor,v3-few-shot"
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# Buckets show up in the admin reward-analytics dashboard (#92).
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TIP_PROMPT_VERSION=
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# Default version on the Python side when the API doesn't specify one.
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DEFAULT_PROMPT_VERSION=v1
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