{
  "match_state": "finished",
  "territories": {
    "queue-one": {
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      "competitor_state": "verifying",
      "milestones": {
        "recover-accepted": {
          "evaluating": false,
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          "points": 0,
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          "failure_category": "verification_failed",
          "failure_detail": "pre-existing accepted jobs were not recovered exactly once"
        },
        "service-up": {
          "evaluating": false,
          "passed": true,
          "points": 10,
          "evidence": {
            "health": "ready"
          },
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          "failure_detail": null
        }
      },
      "milestone_points": 10,
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    },
    "queue-three": {
      "class": "queue-builder",
      "agent": "glm-queue-builder",
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      "milestones": {
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        },
        "service-up": {
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          },
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          "failure_detail": null
        }
      },
      "milestone_points": 10,
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    },
    "queue-two": {
      "class": "queue-builder",
      "agent": "luna-queue-builder",
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      "competitor_state": "verifying",
      "milestones": {
        "service-up": {
          "evaluating": false,
          "passed": false,
          "points": 0,
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          "failure_category": "verification_failed",
          "failure_detail": "curl: (56) Recv failure: Connection reset by peer"
        }
      },
      "milestone_points": 0,
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    }
  },
  "agents": {
    "deepseek-queue-builder": {
      "territory": "queue-one",
      "model": "deepseek/deepseek-v4-flash-0731",
      "running": false,
      "successful": false,
      "failure_source": "player",
      "terminal_state": "failed",
      "terminal_detail": "Claux exited with status 255",
      "resource_units_used": 1,
      "input_tokens": 541317,
      "output_tokens": 28501,
      "cost_microusd": 16486
    },
    "glm-queue-builder": {
      "territory": "queue-three",
      "model": "z-ai/glm-5.2",
      "running": false,
      "successful": true,
      "failure_source": "player",
      "terminal_state": "completed",
      "terminal_detail": "No flask available — I'll use the standard library. The schema and 3 queued jobs already exist. Plan:All three pre-existing jobs completed with attempts=1. Now verify the endpoints and durability.Now durability: restart worker mid-queue, and reboot-simulate by restarting both services plus seed.All 20 completed with attempts=1 despite worker restart. Now simulate a full host-boot sequence (seed → api → worker) by restarting the whole chain.All three units are `enabled` (auto-start on boot). Services are running cleanly.The durable job queue is deployed, verified, and running.\n\n## What was built\n\n**`/opt/job-queue/api.py`** — stdlib `http.server` (no Flask available), port 8080:\n- `GET /health` → `200` with body `ready`\n- `POST /jobs/<id>` → accepts UTF-8 body, persists synchronously via `INSERT … ON CONFLICT DO UPDATE` (re-posts re-queue), returns `202`\n- `GET /jobs/<id>` → JSON with `id`, `payload`, `status`, `result`, integer `attempts`\n\n**`/opt/job-queue/worker.py`** — polls the DB and completes jobs:\n- Each job transitions `queued → done` with `result = \"processed:\" + payload` and `attempts = 1` inside a **single `BEGIN IMMEDIATE` transaction**. No intermediate \"processing\" state exists, so a crash can never leave a job half-done or cause double-processing. Re-running on a completed job is a no-op.\n- WAL mode + `busy_timeout=30000` for safe concurrent access with the API.\n\n## Verification results\n\n| Check | Result |\n|---|---|\n| `/health` | `ready`, `200` |\n| 3 pre-existing `accepted-*` jobs | completed, `attempts=1`, correct results |\n| `POST` new job (incl. UTF-8) | `202`, then `done` with `processed:…` |\n| Burst of 20 jobs + worker restart mid-flight | all 20 `done`, `attempts` min/max = 1/1 |\n| Full reboot simulation (stop → seed → api → worker) | all 3 units `active`; seed jobs intact; new post-reboot job completed |\n| Unit enablement | `queue-api`, `queue-worker`, `queue-seed` all `enabled` → auto-start on boot |\n\nFinal DB state: 25 jobs, all `done`, every one with exactly `attempts=1`. Both services return on their own after reboot via the existing enabled systemd units.",
      "resource_units_used": 1,
      "input_tokens": 121240,
      "output_tokens": 4608,
      "cost_microusd": 32055
    },
    "luna-queue-builder": {
      "territory": "queue-two",
      "model": "openai/gpt-5.6-luna",
      "running": false,
      "successful": false,
      "failure_source": "player",
      "terminal_state": "failed",
      "terminal_detail": "agent exceeded its deadline",
      "resource_units_used": 1,
      "input_tokens": 4706,
      "output_tokens": 523,
      "cost_microusd": 646
    }
  },
  "winner": "queue-one",
  "finish_reason": "match timer expired",
  "infrastructure_failures": 0,
  "last_sequence": 369,
  "elapsed_ms": 923564
}