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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>
261 lines
7.7 KiB
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261 lines
7.7 KiB
Plaintext
---
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title: Integração com Box
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description: "Armazenamento de arquivos e gerenciamento de documentos com a integração do Box para CrewAI."
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icon: "box"
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mode: "wide"
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---
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## Visão Geral
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Permita que seus agentes gerenciem arquivos, pastas e documentos através do Box. Faça upload de arquivos, organize estruturas de pastas, pesquise conteúdos e otimize o gerenciamento de documentos da sua equipe com automação alimentada por IA.
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## Pré-requisitos
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Antes de utilizar a integração com o Box, assegure-se de que você possui:
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- Uma conta [CrewAI AMP](https://app.crewai.com) com assinatura ativa
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- Uma conta Box com as permissões apropriadas
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- Sua conta Box conectada através da [página de Integrações](https://app.crewai.com/crewai_plus/connectors)
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## Configurando a Integração com o Box
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### 1. Conecte sua conta Box
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1. Acesse [Integrações do CrewAI AMP](https://app.crewai.com/crewai_plus/connectors)
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2. Encontre **Box** na seção de Integrações de Autenticação
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3. Clique em **Conectar** e conclua o fluxo de OAuth
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4. Conceda as permissões necessárias para gerenciamento de arquivos e pastas
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5. Copie seu Token Enterprise em [Configurações de Integração](https://app.crewai.com/crewai_plus/settings/integrations)
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### 2. Instale o pacote necessário
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```bash
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uv add crewai-tools
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```
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## Ações Disponíveis
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<AccordionGroup>
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<Accordion title="box/save_file">
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**Descrição:** Salva um arquivo a partir de uma URL no Box.
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**Parâmetros:**
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- `fileAttributes` (object, obrigatório): Atributos - Metadados do arquivo incluindo nome, pasta pai e datas.
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```json
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{
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"content_created_at": "2012-12-12T10:53:43-08:00",
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"content_modified_at": "2012-12-12T10:53:43-08:00",
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"name": "qwerty.png",
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"parent": { "id": "1234567" }
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}
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```
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- `file` (string, obrigatório): URL do arquivo - Os arquivos devem ter menos de 50MB. (exemplo: "https://picsum.photos/200/300").
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</Accordion>
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<Accordion title="box/save_file_from_object">
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**Descrição:** Salva um arquivo no Box.
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**Parâmetros:**
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- `file` (string, obrigatório): Arquivo - Aceita um Objeto de Arquivo contendo os dados. O arquivo deve ter menos de 50MB.
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- `fileName` (string, obrigatório): Nome do Arquivo (exemplo: "qwerty.png").
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- `folder` (string, opcional): Pasta - Use as configurações de workflow do Connect Portal para permitir que usuários escolham o destino da pasta. Caso em branco, o padrão é a pasta raiz do usuário.
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</Accordion>
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<Accordion title="box/get_file_by_id">
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**Descrição:** Obtém um arquivo pelo ID no Box.
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**Parâmetros:**
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- `fileId` (string, obrigatório): ID do arquivo - Identificador único que representa um arquivo. (exemplo: "12345").
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</Accordion>
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<Accordion title="box/list_files">
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**Descrição:** Lista arquivos no Box.
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**Parâmetros:**
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- `folderId` (string, obrigatório): ID da pasta - Identificador único que representa uma pasta. (exemplo: "0").
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- `filterFormula` (object, opcional): Um filtro em forma normal disjuntiva - OU de grupos E de condições únicas.
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```json
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{
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"operator": "OR",
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"conditions": [
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{
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"operator": "AND",
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"conditions": [
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{
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"field": "direction",
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"operator": "$stringExactlyMatches",
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"value": "ASC"
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}
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]
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}
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]
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}
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```
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</Accordion>
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<Accordion title="box/create_folder">
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**Descrição:** Cria uma pasta no Box.
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**Parâmetros:**
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- `folderName` (string, obrigatório): Nome - Nome para a nova pasta. (exemplo: "Nova Pasta").
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- `folderParent` (object, obrigatório): Pasta Pai - A pasta onde a nova pasta será criada.
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```json
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{
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"id": "123456"
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}
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```
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</Accordion>
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<Accordion title="box/move_folder">
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**Descrição:** Move uma pasta no Box.
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**Parâmetros:**
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- `folderId` (string, obrigatório): ID da pasta - Identificador único que representa uma pasta. (exemplo: "0").
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- `folderName` (string, obrigatório): Nome - Nome da pasta. (exemplo: "Nova Pasta").
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- `folderParent` (object, obrigatório): Nova pasta pai de destino.
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```json
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{
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"id": "123456"
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}
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```
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</Accordion>
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<Accordion title="box/get_folder_by_id">
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**Descrição:** Obtém uma pasta pelo ID no Box.
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**Parâmetros:**
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- `folderId` (string, obrigatório): ID da pasta - Identificador único que representa uma pasta. (exemplo: "0").
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</Accordion>
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<Accordion title="box/search_folders">
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**Descrição:** Pesquisa pastas no Box.
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**Parâmetros:**
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- `folderId` (string, obrigatório): ID da pasta - A pasta na qual pesquisar.
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- `filterFormula` (object, opcional): Um filtro em forma normal disjuntiva - OU de grupos E de condições únicas.
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```json
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{
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"operator": "OR",
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"conditions": [
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{
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"operator": "AND",
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"conditions": [
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{
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"field": "sort",
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"operator": "$stringExactlyMatches",
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"value": "name"
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}
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]
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}
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]
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}
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```
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</Accordion>
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<Accordion title="box/delete_folder">
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**Descrição:** Exclui uma pasta no Box.
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**Parâmetros:**
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- `folderId` (string, obrigatório): ID da pasta - Identificador único que representa uma pasta. (exemplo: "0").
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- `recursive` (boolean, opcional): Recursivo - Exclui uma pasta que não está vazia, deletando de forma recursiva a pasta e todo o seu conteúdo.
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</Accordion>
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</AccordionGroup>
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## Exemplos de Uso
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### Configuração Básica de Agente Box
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```python
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from crewai import Agent, Task, Crew
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# Create an agent with Box capabilities
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box_agent = Agent(
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role="Document Manager",
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goal="Manage files and folders in Box efficiently",
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backstory="An AI assistant specialized in document management and file organization.",
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apps=['box']
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)
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# Task to create a folder structure
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create_structure_task = Task(
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description="Create a folder called 'Project Files' in the root directory and upload a document from URL",
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agent=box_agent,
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expected_output="Folder created and file uploaded successfully"
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)
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# Run the task
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crew = Crew(
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agents=[box_agent],
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tasks=[create_structure_task]
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)
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crew.kickoff()
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```
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### Filtrando Ferramentas Específicas do Box
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```python
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file_organizer_agent = Agent(
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role="File Organizer",
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goal="Organize and manage file storage efficiently",
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backstory="An AI assistant that focuses on file organization and storage management.",
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apps=['box']
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)
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# Task to organize files
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organization_task = Task(
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description="Create a folder structure for the marketing team and organize existing files",
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agent=file_organizer_agent,
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expected_output="Folder structure created and files organized"
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)
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crew = Crew(
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agents=[file_organizer_agent],
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tasks=[organization_task]
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)
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crew.kickoff()
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```
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### Gerenciamento Avançado de Arquivos
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```python
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from crewai import Agent, Task, Crew
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file_manager = Agent(
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role="File Manager",
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goal="Maintain organized file structure and manage document lifecycle",
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backstory="An experienced file manager who ensures documents are properly organized and accessible.",
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apps=['box']
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)
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# Complex task involving multiple Box operations
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management_task = Task(
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description="""
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1. List all files in the root folder
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2. Create monthly archive folders for the current year
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3. Move old files to appropriate archive folders
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4. Generate a summary report of the file organization
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""",
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agent=file_manager,
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expected_output="Files organized into archive structure with summary report"
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)
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crew = Crew(
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agents=[file_manager],
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tasks=[management_task]
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)
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crew.kickoff()
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```
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