Files
crewAI/docs/edge/ko/learn/replay-tasks-from-latest-crew-kickoff.mdx
Lucas Gomide a237ebabba feat: adopt directory-based docs versioning with Edge channel (#6202)
* feat: adopt directory-based docs versioning with Edge channel

Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.

Layout:
- docs/edge/<lang>/*         rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/*     frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/               shared, append-only
- docs/docs.json             nav + redirects

URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.

Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
  docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
  snapshot, inserts the version into every language block in
  docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
  Phase 2 of devtools release. Edge changelogs are updated first (so
  the snapshot freeze picks them up), then the snapshot is staged
  alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
  is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
  — the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
  enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
  Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
  docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
  and never accidentally touch a frozen snapshot.

Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
  historical snapshots (v1.10.0 .. v1.14.7) from git tags via
  git archive | tar, rewriting openapi: MDX refs so each snapshot
  reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
  rewrites every page path in 16 versioned blocks to point under
  docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
  v1.14.7 as Latest (default), prunes pages whose target file
  doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
  v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
  around docs_versioning.freeze for manual one-off freezes (e.g.
  retroactively snapshotting a forgotten release).

CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
  title contains [docs-freeze] (i.e. release-cut PRs generated by
  devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
  single image directory. Deleting or renaming an image breaks every
  historical snapshot that still references it.

Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.

Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
  copy, openapi rewrite, version insertion, default demotion, redirect
  upserts, per-section redirect rewriting, idempotency, and invalid
  inputs.

Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).

AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: resolve linter issues

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 11:56:59 -04:00

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---
title: 최신 Crew Kickoff에서 작업 다시 실행하기
description: 최신 crew.kickoff(...)에서 작업을 다시 실행합니다.
icon: arrow-right
mode: "wide"
---
## 소개
CrewAI는 최신 crew 킥오프에서 지정된 태스크를 다시 실행할 수 있는 기능을 제공합니다. 이 기능은 킥오프를 완료한 후 특정 태스크를 다시 시도하고 싶거나 데이터를 다시 가져올 필요 없이 이미 에이전트들이 킥오프 실행에서 컨텍스트를 저장한 경우, 원하는 태스크만 다시 실행(Replay)하면 될 때 특히 유용합니다.
<Note>
태스크를 다시 실행하기 전에 반드시 `crew.kickoff()`을 실행해야 합니다.
현재는 최신 킥오프만 지원되므로, `kickoff_for_each`를 사용하는 경우에도 가장 최근의 crew 실행만 다시 실행할 수 있습니다.
</Note>
다음은 태스크에서 다시 실행하는 방법의 예시입니다:
### CLI를 사용하여 특정 Task에서 재실행하기
재실행 기능을 사용하려면 다음 단계를 따르세요:
<Steps>
<Step title="터미널 또는 명령 프롬프트를 엽니다."></Step>
<Step title="CrewAI 프로젝트가 위치한 디렉터리로 이동합니다."></Step>
<Step title="다음 명령어를 실행합니다:">
최신 kickoff task_id를 확인하려면 아래를 사용하세요:
```shell
crewai log-tasks-outputs
```
재실행할 `task_id`를 확인했다면, 아래를 사용하세요:
```shell
crewai replay -t <task_id>
```
</Step>
</Steps>
<Note>
개발 환경에 `crewai`가 정상적으로 설치 및 구성되어 있는지 확인하세요.
</Note>
### 작업에서 프로그래밍 방식으로 리플레이하기
작업에서 프로그래밍 방식으로 리플레이하려면 다음 단계를 따르세요:
<Steps>
<Step title="리플레이 프로세스를 위한 `task_id`와 입력 파라미터를 지정합니다.">
리플레이 프로세스를 위한 `task_id`와 입력 파라미터를 지정합니다.
</Step>
<Step title="잠재적인 오류를 처리하기 위해 try-except 블록 내에서 리플레이 명령을 실행합니다.">
잠재적인 오류를 처리하기 위해 try-except 블록 내에서 리플레이 명령을 실행합니다.
<CodeGroup>
```python Code
def replay():
"""
Replay the crew execution from a specific task.
"""
task_id = '<task_id>'
inputs = {"topic": "CrewAI Training"} # This is optional; you can pass in the inputs you want to replay; otherwise, it uses the previous kickoff's inputs.
try:
YourCrewName_Crew().crew().replay(task_id=task_id, inputs=inputs)
except subprocess.CalledProcessError as e:
raise Exception(f"An error occurred while replaying the crew: {e}")
except Exception as e:
raise Exception(f"An unexpected error occurred: {e}")
```
</CodeGroup>
</Step>
</Steps>
## 결론
위의 개선 사항과 세부적인 기능으로 CrewAI에서 특정 작업을 재실행하는 것이 더욱 효율적이고 견고해졌습니다.
이러한 기능을 최대한 활용하려면 명령어와 단계를 정확하게 따라주시기 바랍니다.