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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>
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278 lines
8.0 KiB
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---
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title: Box 통합
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description: "CrewAI용 Box 통합을 통한 파일 저장 및 문서 관리."
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icon: "box"
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mode: "wide"
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---
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## 개요
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에이전트가 Box를 통해 파일, 폴더, 문서를 관리할 수 있도록 지원하세요. 파일을 업로드하고, 폴더 구조를 조직하며, 콘텐츠를 검색하고, AI 기반 자동화를 통해 팀의 문서 관리를 효율적으로 진행할 수 있습니다.
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## 사전 준비 사항
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Box 통합을 사용하기 전에 다음을 확인하세요:
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- 활성 구독이 있는 [CrewAI AMP](https://app.crewai.com) 계정
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- 적절한 권한이 있는 Box 계정
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- [통합 페이지](https://app.crewai.com/crewai_plus/connectors)를 통해 Box 계정 연결
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## Box 통합 설정
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### 1. Box 계정 연결하기
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1. [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)로 이동합니다.
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2. 인증 통합 섹션에서 **Box**를 찾습니다.
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3. **Connect**를 클릭하고 OAuth 흐름을 완료합니다.
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4. 파일 및 폴더 관리를 위한 필요한 권한을 부여합니다.
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5. [통합 설정](https://app.crewai.com/crewai_plus/settings/integrations)에서 Enterprise Token을 복사합니다.
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### 2. 필수 패키지 설치
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```bash
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uv add crewai-tools
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```
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### 3. 환경 변수 설정
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<Note>
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`Agent(apps=[])`와 함께 통합을 사용하려면 Enterprise Token으로
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`CREWAI_PLATFORM_INTEGRATION_TOKEN` 환경 변수를 설정해야 합니다.
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</Note>
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```bash
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export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
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```
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또는 `.env` 파일에 추가하세요:
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```
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CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
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```
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## 사용 가능한 액션
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<AccordionGroup>
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<Accordion title="box/save_file">
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**설명:** Box에서 URL로부터 파일을 저장합니다.
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**파라미터:**
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- `fileAttributes` (object, 필수): 속성 - 이름, 상위 폴더, 타임스탬프 등 파일 메타데이터.
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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, 필수): 파일 URL - 파일 크기는 50MB 미만이어야 합니다. (예시: "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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**설명:** Box에 파일을 저장합니다.
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**파라미터:**
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- `file` (string, 필수): 파일 - 파일 데이터를 포함하는 파일 객체를 허용합니다. 파일 크기는 50MB 미만이어야 합니다.
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- `fileName` (string, 필수): 파일명 (예시: "qwerty.png").
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- `folder` (string, 선택): 폴더 - Connect Portal Workflow Settings를 사용하여 사용자가 파일의 폴더 목적지를 선택할 수 있도록 합니다. 비워두면 기본적으로 사용자의 루트 폴더에 저장됩니다.
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</Accordion>
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<Accordion title="box/get_file_by_id">
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**설명:** Box에서 ID로 파일을 가져옵니다.
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**파라미터:**
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- `fileId` (string, 필수): 파일 ID - 파일을 나타내는 고유 식별자. (예시: "12345").
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</Accordion>
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<Accordion title="box/list_files">
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**설명:** Box에서 파일 목록을 조회합니다.
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**파라미터:**
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- `folderId` (string, 필수): 폴더 ID - 폴더를 나타내는 고유 식별자. (예시: "0").
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- `filterFormula` (object, 선택): 쿼리 normal form (DNF)의 필터 - 단일 조건의 AND 그룹의 OR.
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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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**설명:** Box에 폴더를 생성합니다.
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**파라미터:**
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- `folderName` (string, 필수): 이름 - 새 폴더의 이름. (예시: "New Folder").
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- `folderParent` (object, 필수): 상위 폴더 - 새 폴더가 생성될 상위 폴더.
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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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**설명:** Box에서 폴더를 이동합니다.
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**파라미터:**
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- `folderId` (string, 필수): 폴더 ID - 폴더를 나타내는 고유 식별자. (예시: "0").
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- `folderName` (string, 필수): 이름 - 폴더의 이름. (예시: "New Folder").
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- `folderParent` (object, 필수): 상위 폴더 - 새 상위 폴더 목적지.
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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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**설명:** Box에서 ID로 폴더를 가져옵니다.
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**파라미터:**
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- `folderId` (string, 필수): 폴더 ID - 폴더를 나타내는 고유 식별자. (예시: "0").
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</Accordion>
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<Accordion title="box/search_folders">
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**설명:** Box에서 폴더를 검색합니다.
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**파라미터:**
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- `folderId` (string, 필수): 폴더 ID - 검색할 폴더.
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- `filterFormula` (object, 선택): 쿼리 normal form (DNF)의 필터 - 단일 조건의 AND 그룹의 OR.
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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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**설명:** Box에서 폴더를 삭제합니다.
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**파라미터:**
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- `folderId` (string, 필수): 폴더 ID - 폴더를 나타내는 고유 식별자. (예시: "0").
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- `recursive` (boolean, 선택): 재귀적 삭제 - 폴더가 비어 있지 않을 경우, 폴더와 그 모든 내용을 재귀적으로 삭제합니다.
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</Accordion>
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</AccordionGroup>
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## 사용 예시
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### 기본 Box Agent 설정
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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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### 특정 Box 도구 필터링
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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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### 고급 파일 관리
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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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