76일차 자료 추가 (답 포함): 실습 15개 · 의도 · 생활 속 예 · 실행 결과, LAB-A · 정답 워크플로우와 25단계 실행 기록, 교안 개요 30장 · 4단계 정리, 바이브 코딩 tretry

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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mcchaeandClaude Opus 5.5 committed 2026-10-29 23:18:55 +09:00
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$ uv run tools/flow.py ops --reset
✔ created tickets, DLQ and alerts emptied, fault switch all ok
$ uv run tools/flow.py budget --reset
✔ budget back to data/budget.json
budget $1.0 / used $0.000000 · remaining $1.000000 · over False · per user 20/min · question 500 chars
$ uv run tools/flow.py usage --clear
✔ usage cleared: {"cleared": 0}
$ uv run tools/flow.py off my-intake my-replay my-ops-status reference/lab02-example2-error-handler.json
✔ unpublished my-intake (id w75a95815facf2d6)
✔ unpublished my-replay (id w7d8de63c811909b)
✔ unpublished my-ops-status (id w07b5812eaa88ef9)
✔ n8n restarted. Turn it back on with: uv run tools/flow.py push <the workflow file>
$ uv run tools/flow.py push reference/baseline-intake.json reference/nightly-report.json
✔ pushed '76 Intake baseline (provided)' (id w4ef8dc8a25b82e3)
POST http://localhost:5678/webhook/base-intake
✔ pushed '76 Nightly report (provided, has a bug)' (id wb9ce32c18d7df56)
POST http://localhost:5678/webhook/nightly-report
$ 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)
✔ n8n → http://data-api:8800
✔ credential 'OpenAI (.env)' (openAiCourse0001)
✔ node catalog (for check)
✔ CLI coding agent: codex, claude, agy
ready