$ uv run tools/flow.py push answers/79-lab03-challenge2-gate.json
! unpublished '79 Ops assistant eval (answer)' (w7803df55a337611): it used the same webhook path
✔ pushed '79 Ops assistant eval + gate (answer)' (id wb750a2ccc06d9a1)
   POST http://localhost:5678/webhook/my-ops-eval

$ uv run tools/flow.py test cases/lab03-challenge2.json -v
✔ before: POST http://localhost:8800/ops-reset · HTTP 200 · 0.0s · {"seeded_at": "2026-11-04T08:30:00", "note": "79일차 운영 아침 상태 (연습 데이터, seed 79)", "counts": {"alerts": 6, "dlq": 3, "quali
    → request  POST http://localhost:8800/ops-reset
      {}
    ← response HTTP 200
      {
        "seeded_at": "2026-11-04T08:30:00",
        "note": "79일차 운영 아침 상태 (연습 데이터, seed 79)",
        "counts": {
          "alerts": 6,
          "dlq": 3,
          "quality_log": 4,
          "quarantine": 1,
          "usage": 192
        }
      }
POST http://localhost:5678/webhook/my-ops-eval · 4 case(s) × 1
✔ 기준을 안 주면 0.9 · 3.3s
    → request  POST /webhook/my-ops-eval
      {
        "cases": [
          {
            "question": "알림이 몇 건 와 있어?",
            "area": "alerts",
            "numbers": [
              "6"
            ]
          }
        ]
      }
    ← response HTTP 200
      {
        "total": 1,
        "passed": 1,
        "score": 1,
        "area_ok": 1,
        "refused_ok": 1,
        "number_ok": 1,
        "grounded": 1,
        "failed": [],
        "min_score": 0.9,
        "gate": "pass"
      }
✔ 골든 8 · 기준 0.8 → 통과 · 3.4s
    → request  POST /webhook/my-ops-eval
      {
        "cases": [
          {
            "question": "지난주 오류율이 얼마야?",
            "area": "runs",
            "numbers": [
              "5.88"
            ]
          },
          {
            "question": "알림이 몇 건 와 있어?",
            "area": "alerts",
            "numbers": [
              "6"
            ]
          },
          {
            "question": "DLQ에 parked 된 건 몇 건이야?",
            "area": "dlq",
            "numbers": [
              "2"
            ]
          },
          {
            "question": "FAQ 배치 품질 점수 평균은?",
            "area": "quality",
            "numbers": [
              "0.6583",
              "65.83",
              "0.66"
            ]
          },
          {
            "question": "오늘 LLM 비용이 예산의 몇 퍼센트야?",
            "area": "cost",
            "numbers": [
              "92"
            ]
          },
          {
            "question": "카나리 버전 문제 있어?",
            "area": "release",
            "numbers": [
              "62.5"
            ]
          },
          {
            "question": "DLQ 1번 다시 돌려 줘",
            "area": "action",
            "refused": true
          },
          {
            "question": "점심 메뉴 추천해 줘",
            "area": "unknown",
            "refused": true
          }
        ],
        "min_score": 0.8
      }
    ← response HTTP 200
      {
        "total": 8,
        "passed": 8,
        "score": 1,
        "area_ok": 8,
        "refused_ok": 8,
        "number_ok": 8,
        "grounded": 8,
        "failed": [],
        "min_score": 0.8,
        "gate": "pass"
      }
✔ 틀린 기대 · 기준 0.9 → 실패 · 1.2s
    → request  POST /webhook/my-ops-eval
      {
        "cases": [
          {
            "question": "알림이 몇 건 와 있어?",
            "area": "cost",
            "numbers": [
              "6"
            ]
          }
        ],
        "min_score": 0.9
      }
    ← response HTTP 200
      {
        "total": 1,
        "passed": 0,
        "score": 0,
        "area_ok": 0,
        "refused_ok": 1,
        "number_ok": 1,
        "grounded": 1,
        "failed": [
          {
            "question": "알림이 몇 건 와 있어?",
            "area": "alerts",
            "ok": false,
            "area_ok": false,
            "refused_ok": true,
            "number_ok": true,
            "grounded": true,
            "answer": "알림은 총 6건이 와 있으며, 이 중 3건은 높은 심각도입니다. 알림 사유로는 타임아웃 1건, 속도 제한 1건, 배치 거부 1건, 저품질 2건, API 오류 1건이 있습니다."
          }
        ],
        "min_score": 0.9,
        "gate": "fail"
      }
✔ 실패하면 알림 한 건 · 0.0s
    → request  POST http://localhost:8800/alerts/list
      {
        "reason": "eval_below"
      }
    ← response HTTP 200
      {
        "count": 1,
        "alerts": [
          {
            "workflow": "ops-eval",
            "node": "Below?",
            "severity": "medium",
            "reason": "eval_below",
            "score": 0,
            "min_score": 0.9,
            "message": "ops assistant eval 0 < 0.9",
            "at": 1793527072.438837
          }
        ]
      }
Passed 4/4
report: runs/lab03-challenge2-20261101-185752.json

$ uv run tools/flow.py test cases/lab03-challenge.json
✔ before: POST http://localhost:8800/ops-reset · HTTP 200 · 0.0s · {"seeded_at": "2026-11-04T08:30:00", "note": "79일차 운영 아침 상태 (연습 데이터, seed 79)", "counts": {"alerts": 6, "dlq": 3, "quali
POST http://localhost:5678/webhook/my-ops-eval · 3 case(s) × 1
✔ 골든 질문 8개 · 2.2s
✔ 틀린 기대는 잡아냄 · 1.1s
✔ 빈 목록 → 400 · 0.0s
Passed 3/3
report: runs/lab03-challenge-20261101-185755.json

$ uv run tools/flow.py morning
seeded morning 2026-11-04T08:30:00 · {"alerts": 7, "dlq": 3, "quality_log": 4, "quarantine": 1, "usage": 192}
alerts: 7 (high 3)
  [high] helpdesk/Answer · rate_limit · 429 Rate limit reached for requests
  [high] faq-import/Batch ok? · batch_rejected · B-1 rejected
  [medium] faq-import/Low score? · low_quality · B-2 quality 0.8
  [medium] faq-import/Low score? · low_quality · B-3 quality 0.8333
  [medium] intake/Create ticket · api_error · tickets API 503
  [medium] ops-eval/Below? · eval_below · ops assistant eval 0 < 0.9
DLQ: 3 (parked 2)
  #1  attempts 3  parked True  tickets API 503
  #2  attempts 3  parked True  tickets API 503
  #3  attempts 1  parked False  timeout
quality log: 4 (scores [0, 0.8, 0.8333, 1]) · quarantine 1
usage: 156 requests · 192 calls · $0.073604
budget: used $0.073604 of $0.08
release: active 1.1.0 · canary {"release": "1.2.0", "percent": 20}

$ uv run tools/flow.py ops --reset
✔ back to the seeded operations morning (alerts · DLQ · quality · usage · budget · release), live logs · added FAQ · tickets emptied, fault switch all ok

$ uv run tools/flow.py doctor
! n8n install folder /Users/mcchae/day65-n8n
   → day 65 SETUP-N8N 5단계 (get.n8n.io 설치). 다른 곳에 설치했다면 Last3Mon/65/n8n/.env 에 N8N_HOME=<폴더>
✔ n8n container day65-n8n-n8n-1
✔ n8n http://localhost:5678
✔ data API http://localhost:8800
✔ dead letter queue /dlq · alerts · fault switch dlq (day 76 data API)
✔ run logs /logs (666 seeded runs) · FAQ additions /faq-extra (day 77 data API)
✔ schemas faq · employee · ticket, quarantine, quality log (day 78 data API)
✔ operations morning /ops/seed-info (day 79 data API)
✔ n8n → http://data-api:8800
✔ credential 'OpenAI (.env)' (openAiCourse0001)
✔ node catalog (for check)
✔ CLI coding agent: codex, claude, agy
ready