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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>
131 lines
4.2 KiB
Plaintext
131 lines
4.2 KiB
Plaintext
---
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title: "Visão Geral das Ferramentas"
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description: "Descubra a vasta biblioteca do CrewAI com mais de 40 ferramentas para potencializar seus agentes de IA"
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icon: "toolbox"
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mode: "wide"
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---
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O CrewAI oferece uma biblioteca extensa de ferramentas pré-construídas para aprimorar as capacidades dos seus agentes. De processamento de arquivos a web scraping, consultas em bancos de dados a serviços de IA — temos tudo o que você precisa.
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## **Categorias de Ferramentas**
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<CardGroup cols={2}>
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<Card
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title="Arquivo & Documento"
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icon="folder-open"
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href="/pt-BR/tools/file-document/overview"
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color="#3B82F6"
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>
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Leia, escreva e pesquise em diversos formatos de arquivo, incluindo PDF, DOCX, JSON, CSV e muito mais. Perfeito para fluxos de processamento de documentos.
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</Card>
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<Card
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title="Web Scraping & Navegação"
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icon="globe"
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href="/pt-BR/tools/web-scraping/overview"
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color="#10B981"
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>
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Extraia dados de sites, automatize interações com navegadores e faça scraping de conteúdo em escala com ferramentas como Firecrawl, Selenium e outras.
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</Card>
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<Card
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title="Pesquisa & Busca"
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icon="magnifying-glass"
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href="/pt-BR/tools/search-research/overview"
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color="#F59E0B"
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>
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Realize buscas na web, encontre repositórios de código, pesquise conteúdo no YouTube e descubra informações em toda a internet.
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</Card>
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<Card
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title="Banco de Dados & Dados"
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icon="database"
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href="/pt-BR/tools/database-data/overview"
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color="#8B5CF6"
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>
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Conecte-se a bancos de dados SQL, repositórios vetoriais e data warehouses. Consulte MySQL, PostgreSQL, Snowflake, Qdrant e Weaviate.
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</Card>
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<Card
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title="IA & Aprendizado de Máquina"
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icon="brain"
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href="/pt-BR/tools/ai-ml/overview"
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color="#EF4444"
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>
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Gere imagens com DALL-E, execute tarefas de visão computacional, integre com LangChain, construa sistemas RAG e aproveite interpretadores de código.
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</Card>
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<Card
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title="Nuvem & Armazenamento"
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icon="cloud"
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href="/pt-BR/tools/cloud-storage/overview"
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color="#06B6D4"
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>
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Interaja com serviços em nuvem incluindo AWS S3, Amazon Bedrock e outros serviços de armazenamento e IA na nuvem.
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</Card>
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<Card
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title="Automação"
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icon="bolt"
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href="/pt-BR/tools/automation/overview"
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color="#84CC16"
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>
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Automatize fluxos de trabalho com Apify, Composio e outras plataformas para conectar seus agentes a serviços externos.
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</Card>
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<Card
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title="Integrações"
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icon="plug"
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href="/pt-BR/tools/tool-integrations/overview"
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color="#0891B2"
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>
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Integre o CrewAI com sistemas externos como Amazon Bedrock e o toolkit de Automação do CrewAI.
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</Card>
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</CardGroup>
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## **Acesso Rápido**
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Precisa de uma ferramenta específica? Aqui estão algumas opções populares:
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<CardGroup cols={3}>
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<Card title="RAG Tool" icon="image" href="/pt-BR/tools/ai-ml/ragtool">
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Implemente Geração com Recuperação de Dados (RAG)
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</Card>
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<Card title="Serper Dev" icon="book-atlas" href="/pt-BR/tools/search-research/serperdevtool">
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API de busca do Google
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</Card>
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<Card title="File Read" icon="file" href="/pt-BR/tools/file-document/filereadtool">
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Leia qualquer tipo de arquivo
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</Card>
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<Card title="Scrape Website" icon="globe" href="/pt-BR/tools/web-scraping/scrapewebsitetool">
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Extraia conteúdo da web
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</Card>
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<Card title="Code Interpreter" icon="code" href="/pt-BR/tools/ai-ml/codeinterpretertool">
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Execute código Python
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</Card>
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<Card title="S3 Reader" icon="cloud" href="/pt-BR/tools/cloud-storage/s3readertool">
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Acesse arquivos no AWS S3
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</Card>
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</CardGroup>
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## **Primeiros Passos**
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Para usar qualquer ferramenta em seu projeto CrewAI:
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1. **Importe** a ferramenta na configuração da sua crew
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2. **Adicione** à lista de ferramentas do seu agente
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3. **Configure** as chaves de API ou ajustes necessários
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```python
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from crewai_tools import FileReadTool, SerperDevTool
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# Adicione as ferramentas ao seu agente
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agent = Agent(
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role="Research Analyst",
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tools=[FileReadTool(), SerperDevTool()],
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# ... outrAs configurações
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)
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```
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Pronto para explorar? Escolha uma categoria acima para descobrir as ferramentas que se encaixam no seu caso de uso!
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