Files
crewAI/docs/edge/ko/tools/automation/overview.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

60 lines
2.3 KiB
Plaintext

---
title: "개요"
description: "워크플로우를 자동화하고 외부 플랫폼 및 서비스와 통합합니다"
icon: "face-smile"
mode: "wide"
---
이러한 도구들은 에이전트가 워크플로를 자동화하고, 외부 플랫폼과 통합하며, 다양한 서드파티 서비스와 연동하여 기능을 향상시킬 수 있도록 합니다.
## **사용 가능한 도구**
<CardGroup cols={2}>
<Card title="Apify Actor Tool" icon="spider" href="/ko/tools/automation/apifyactorstool">
웹 스크래핑 및 자동화 작업을 위해 Apify actor를 실행합니다.
</Card>
<Card title="Composio Tool" icon="puzzle-piece" href="/ko/tools/automation/composiotool">
Composio를 통해 수백 개의 앱 및 서비스와 통합합니다.
</Card>
<Card title="Multion Tool" icon="window-restore" href="/ko/tools/automation/multiontool">
브라우저 상호작용과 웹 기반 워크플로우를 자동화합니다.
</Card>
<Card title="Zapier Actions Adapter" icon="bolt" href="/ko/tools/automation/zapieractionstool">
수천 개의 앱을 자동화할 수 있도록 Zapier Actions를 CrewAI 도구로 제공합니다.
</Card>
</CardGroup>
## **일반적인 사용 사례**
- **워크플로 자동화**: 반복적인 작업과 프로세스 자동화
- **API 통합**: 외부 API 및 서비스와 연동
- **데이터 동기화**: 다양한 플랫폼 간 데이터 동기화
- **프로세스 오케스트레이션**: 복잡한 다단계 워크플로의 조정
- **서드파티 서비스**: 외부 도구 및 플랫폼 활용
```python
from crewai_tools import ApifyActorTool, ComposioTool, MultiOnTool
# Create automation tools
apify_automation = ApifyActorTool()
platform_integration = ComposioTool()
browser_automation = MultiOnTool()
# Add to your agent
agent = Agent(
role="Automation Specialist",
tools=[apify_automation, platform_integration, browser_automation],
goal="Automate workflows and integrate systems"
)
```
## **통합 이점**
- **효율성**: 자동화를 통해 수작업을 줄임
- **확장성**: 증가하는 작업량을 자동으로 처리
- **신뢰성**: 워크플로우의 일관된 실행
- **연결성**: 다양한 시스템과 플랫폼을 연결
- **생산성**: 자동화가 반복 작업을 처리하는 동안 고부가가치 업무에 집중