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Run eba652af-3c98-407a-bc16-26c668dd1d6d

Started
6/22/26, 10:00 AM(Jun 22, 2026, 10:00:02 AM)
Finished
6/22/26, 10:01 AM(Jun 22, 2026, 10:01:17 AM)
Duration
1m 15s
Triggered by
cron
Exit code
0

Raw output

{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":73492,"duration_api_ms":72136,"ttft_ms":4394,"ttft_stream_ms":3907,"time_to_request_ms":21,"num_turns":7,"result":"Based on my inspection, here's the analysis:\n\n{\n  \"current_state_summary\": \"Cerebro is a mature, deployed system: FastAPI backend (auth, dashboard, gitlab, releases, persist_analysis services + monitoring router with /health, /health/system, /version), display-only Next.js frontend, and Bun CLI, all with test suites (pytest+testcontainers, vitest, bun, plus Playwright e2e). It is operationally live on Jarvis at v0.4.0 (100%, current) via the misc/pipelines service-pipeline, with a cron wrapper script committed. An uncommitted feature surfaces per-project operational state to the dashboard (model/serializer/persist changes + a 0002 migration).\",\n  \"gap_analysis\": \"Deploy and per-device cron are operationally satisfied (live v0.4.0). The clear remaining gap is self-monitoring: there is no mechanism to detect and alert on stale or failed analyses — the dashboard has a 24h staleness constant for display only, but no alerting endpoint/job/notification path exists (no slack/webhook/notify code). The in-flight 'operational' feature (uncommitted models/serializers/persist + new migration) needs finishing, testing, committing, and deploying. A formal production-readiness verification pass (coverage ≥80%, e2e, smoke) is not yet evidenced as run/recorded.\",\n  \"completion_percent\": 82,\n  \"estimated_hours_remaining\": 13,\n  \"confidence\": \"medium\",\n  \"tasks_to_mark_complete\": [\n    \"Execute and verify first production deploy to Jarvis\",\n    \"Install and validate per-device cron analysis\"\n  ],\n  \"proposed_tasks\": [\n    {\n      \"title\": \"Self-monitoring: detect and alert on stale or failed analyses\",\n      \"description\": \"Cerebro must watch its own analysis freshness. Add a stale/failed detector (a project whose last_analyzed_at exceeds a configurable threshold, or whose latest analysis_run failed) and a notification path (e.g. Slack webhook from secrets manager). Expose state via a monitoring endpoint and drive alerts from the cron tick or a scheduled check.\",\n      \"estimated_minutes\": 360,\n      \"subtasks\": [\n        { \"title\": \"Define staleness/failure thresholds (config from secrets manager) and a query over projects/analysis_runs\", \"estimated_minutes\": 60 },\n        { \"title\": \"Add /health/analyses (or similar) endpoint reporting stale + failed counts and worst-case age\", \"estimated_minutes\": 75 },\n        { \"title\": \"Implement alert dispatch (Slack webhook) on stale/failed, idempotent/deduped\", \"estimated_minutes\": 90 },\n        { \"title\": \"Wire the check into cron-tick (or a separate scheduled tick) and log results\", \"estimated_minutes\": 45 },\n        { \"title\": \"Tests: stale detection, failed-run detection, alert dispatch mocked\", \"estimated_minutes\": 90 }\n      ]\n    },\n    {\n      \"title\": \"Finish and ship the operational-state feature\",\n      \"description\": \"Complete the uncommitted work that surfaces latest operational state on the project for the dashboard badge: models/serializers/persist_analysis changes plus the 0002_project_operational migration. Test, commit per conventional-commit single-purpose rules, and verify the migration applies cleanly.\",\n      \"estimated_minutes\": 150,\n      \"subtasks\": [\n        { \"title\": \"Review migration 0002 up/down and apply against a test DB\", \"estimated_minutes\": 30 },\n        { \"title\": \"Add/extend serializer + dashboard tests for the operational field\", \"estimated_minutes\": 60 },\n        { \"title\": \"Commit changes (single-purpose) and confirm make test/lint/typecheck pass\", \"estimated_minutes\": 60 }\n      ]\n    },\n    {\n      \"title\": \"Production readiness verification pass\",\n      \"description\": \"Run the full quality gate and record a VRF: make test (coverage ≥80% across backend/frontend/cli), e2e UI suite, and post-deploy smoke against the live Jarvis instance; confirm /health, /health/system, /version respond correctly in production.\",\n      \"estimated_minutes\": 240,\n      \"subtasks\": [\n        { \"title\": \"Run make test + confirm coverage ≥80% for all three components\", \"estimated_minutes\": 60 },\n        { \"title\": \"Run make test-e2e-ui and fix any failures\", \"estimated_minutes\": 75 },\n        { \"title\": \"Run make smoke against deployed Jarvis; verify health/version endpoints\", \"estimated_minutes\": 45 },\n        { \"title\": \"Record VRF document with scored results\", \"estimated_minutes\": 60 }\n      ]\n    }\n  ]\n}","stop_reason":"end_turn","session_id":"798f0f4e-b735-4a13-a286-e33562357ae6","total_cost_usd":0.59949,"usage":{"input_tokens":9683,"cache_creation_input_tokens":32767,"cache_read_input_tokens":266960,"output_tokens":3597,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":32767,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1686,"cache_read_input_tokens":47446,"cache_creation_input_tokens":942,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":942},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-opus-4-8":{"inputTokens":9683,"outputTokens":3597,"cacheReadInputTokens":266960,"cacheCreationInputTokens":32767,"webSearchRequests":0,"costUSD":0.59949,"contextWindow":1000000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"2dc8ae9c-3c13-4bdd-923f-018897bc2d99"}

Parsed result

JSON
{
  "confidence": "medium",
  "operational": {
    "kind": "http_service",
    "drift": "current",
    "score": 100,
    "checks": [
      {
        "ok": true,
        "name": "health",
        "detail": "/health 200"
      },
      {
        "ok": true,
        "name": "system_health",
        "detail": "overall healthy"
      },
      {
        "ok": true,
        "name": "version_drift",
        "detail": "deployed 0.4.0 == v0.4.0"
      }
    ],
    "status": "operational",
    "latest_tag": "v0.4.0",
    "deployed_version": "0.4.0"
  },
  "gap_analysis": "Deploy and per-device cron are operationally satisfied (live v0.4.0). The clear remaining gap is self-monitoring: there is no mechanism to detect and alert on stale or failed analyses — the dashboard has a 24h staleness constant for display only, but no alerting endpoint/job/notification path exists (no slack/webhook/notify code). The in-flight 'operational' feature (uncommitted models/serializers/persist + new migration) needs finishing, testing, committing, and deploying. A formal production-readiness verification pass (coverage ≥80%, e2e, smoke) is not yet evidenced as run/recorded.",
  "proposed_tasks": [
    {
      "title": "Self-monitoring: detect and alert on stale or failed analyses",
      "subtasks": [
        {
          "title": "Define staleness/failure thresholds (config from secrets manager) and a query over projects/analysis_runs",
          "estimated_minutes": 60
        },
        {
          "title": "Add /health/analyses (or similar) endpoint reporting stale + failed counts and worst-case age",
          "estimated_minutes": 75
        },
        {
          "title": "Implement alert dispatch (Slack webhook) on stale/failed, idempotent/deduped",
          "estimated_minutes": 90
        },
        {
          "title": "Wire the check into cron-tick (or a separate scheduled tick) and log results",
          "estimated_minutes": 45
        },
        {
          "title": "Tests: stale detection, failed-run detection, alert dispatch mocked",
          "estimated_minutes": 90
        }
      ],
      "description": "Cerebro must watch its own analysis freshness. Add a stale/failed detector (a project whose last_analyzed_at exceeds a configurable threshold, or whose latest analysis_run failed) and a notification path (e.g. Slack webhook from secrets manager). Expose state via a monitoring endpoint and drive alerts from the cron tick or a scheduled check.",
      "estimated_minutes": 360
    },
    {
      "title": "Finish and ship the operational-state feature",
      "subtasks": [
        {
          "title": "Review migration 0002 up/down and apply against a test DB",
          "estimated_minutes": 30
        },
        {
          "title": "Add/extend serializer + dashboard tests for the operational field",
          "estimated_minutes": 60
        },
        {
          "title": "Commit changes (single-purpose) and confirm make test/lint/typecheck pass",
          "estimated_minutes": 60
        }
      ],
      "description": "Complete the uncommitted work that surfaces latest operational state on the project for the dashboard badge: models/serializers/persist_analysis changes plus the 0002_project_operational migration. Test, commit per conventional-commit single-purpose rules, and verify the migration applies cleanly.",
      "estimated_minutes": 150
    },
    {
      "title": "Production readiness verification pass",
      "subtasks": [
        {
          "title": "Run make test + confirm coverage ≥80% for all three components",
          "estimated_minutes": 60
        },
        {
          "title": "Run make test-e2e-ui and fix any failures",
          "estimated_minutes": 75
        },
        {
          "title": "Run make smoke against deployed Jarvis; verify health/version endpoints",
          "estimated_minutes": 45
        },
        {
          "title": "Record VRF document with scored results",
          "estimated_minutes": 60
        }
      ],
      "description": "Run the full quality gate and record a VRF: make test (coverage ≥80% across backend/frontend/cli), e2e UI suite, and post-deploy smoke against the live Jarvis instance; confirm /health, /health/system, /version respond correctly in production.",
      "estimated_minutes": 240
    }
  ],
  "completion_percent": 82,
  "current_state_summary": "Cerebro is a mature, deployed system: FastAPI backend (auth, dashboard, gitlab, releases, persist_analysis services + monitoring router with /health, /health/system, /version), display-only Next.js frontend, and Bun CLI, all with test suites (pytest+testcontainers, vitest, bun, plus Playwright e2e). It is operationally live on Jarvis at v0.4.0 (100%, current) via the misc/pipelines service-pipeline, with a cron wrapper script committed. An uncommitted feature surfaces per-project operational state to the dashboard (model/serializer/persist changes + a 0002 migration).",
  "tasks_to_mark_complete": [
    "Execute and verify first production deploy to Jarvis",
    "Install and validate per-device cron analysis"
  ],
  "estimated_hours_remaining": 13
}