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* 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>
107 lines
4.3 KiB
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107 lines
4.3 KiB
Plaintext
---
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title: Google Serper 검색
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description: SerperDevTool은(는) 인터넷을 검색하여 가장 관련성 높은 결과를 반환하도록 설계되었습니다.
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icon: google
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mode: "wide"
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---
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# `SerperDevTool`
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## 설명
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이 도구는 인터넷 전체의 텍스트 내용에서 지정된 쿼리에 대한 시맨틱 검색을 수행하도록 설계되었습니다. 사용자가 제공한 쿼리를 기반으로 가장 관련성 높은 검색 결과를 가져와 표시하기 위해 [serper.dev](https://serper.dev) API를 활용합니다.
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## 설치
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`SerperDevTool`을 효과적으로 사용하려면 다음 단계를 따르십시오:
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1. **패키지 설치**: Python 환경에 `crewai[tools]` 패키지가 설치되어 있는지 확인하세요.
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2. **API 키 획득**: https://serper.dev/ (무료 플랜 제공)에서 `serper.dev` API 키를 획득하세요.
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3. **환경 변수 설정**: 획득한 API 키를 `SERPER_API_KEY`라는 환경 변수에 저장하여 도구에서 사용할 수 있게 하세요.
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이 도구를 프로젝트에 통합하려면 아래의 설치 지침을 따르십시오:
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```shell
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pip install 'crewai[tools]'
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```
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## 예제
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다음 예제는 도구를 초기화하고 주어진 쿼리로 검색을 실행하는 방법을 보여줍니다:
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```python Code
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from crewai_tools import SerperDevTool
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# Initialize the tool for internet searching capabilities
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tool = SerperDevTool()
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```
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## 매개변수
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`SerperDevTool`은 API에 전달될 여러 매개변수를 제공합니다:
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- **search_url**: 검색 API의 URL 엔드포인트입니다. (기본값은 `https://google.serper.dev/search`)
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- **country**: 선택 사항. 검색 결과에 사용할 국가를 지정합니다.
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- **location**: 선택 사항. 검색 결과에 사용할 위치를 지정합니다.
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- **locale**: 선택 사항. 검색 결과에 사용할 로케일을 지정합니다.
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- **n_results**: 반환할 검색 결과의 개수입니다. 기본값은 `10`입니다.
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`country`, `location`, `locale`, `search_url`의 값은 [Serper Playground](https://serper.dev/playground)에서 확인할 수 있습니다.
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## 매개변수를 활용한 예시
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다음은 추가 매개변수를 사용하여 도구를 활용하는 방법을 보여주는 예시입니다:
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```python Code
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from crewai_tools import SerperDevTool
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tool = SerperDevTool(
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search_url="https://google.serper.dev/scholar",
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n_results=2,
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)
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print(tool.run(search_query="ChatGPT"))
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# Using Tool: Search the internet
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# Search results: Title: Role of chat gpt in public health
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# Link: https://link.springer.com/article/10.1007/s10439-023-03172-7
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# Snippet: … ChatGPT in public health. In this overview, we will examine the potential uses of ChatGPT in
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# ---
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# Title: Potential use of chat gpt in global warming
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# Link: https://link.springer.com/article/10.1007/s10439-023-03171-8
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# Snippet: … as ChatGPT, have the potential to play a critical role in advancing our understanding of climate
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# ---
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```
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```python Code
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from crewai_tools import SerperDevTool
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tool = SerperDevTool(
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country="fr",
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locale="fr",
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location="Paris, Paris, Ile-de-France, France",
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n_results=2,
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)
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print(tool.run(search_query="Jeux Olympiques"))
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# Using Tool: Search the internet
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# Search results: Title: Jeux Olympiques de Paris 2024 - Actualités, calendriers, résultats
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# Link: https://olympics.com/fr/paris-2024
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# Snippet: Quels sont les sports présents aux Jeux Olympiques de Paris 2024 ? · Athlétisme · Aviron · Badminton · Basketball · Basketball 3x3 · Boxe · Breaking · Canoë ...
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# ---
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# Title: Billetterie Officielle de Paris 2024 - Jeux Olympiques et Paralympiques
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# Link: https://tickets.paris2024.org/
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# Snippet: Achetez vos billets exclusivement sur le site officiel de la billetterie de Paris 2024 pour participer au plus grand événement sportif au monde.
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# ---
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```
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## 결론
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`SerperDevTool`을 Python 프로젝트에 통합함으로써, 사용자는 애플리케이션에서 직접 인터넷 전반에 걸친 실시간 및 관련성 높은 검색을 수행할 수 있는 능력을 갖게 됩니다.
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업데이트된 매개변수들은 보다 맞춤화되고 지역화된 검색 결과를 제공합니다. 제공된 설정 및 사용 지침을 준수함으로써, 이 도구를 프로젝트에 통합하는 과정이 간소화되고 직관적으로 이루어집니다.
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