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* docs(cli): document device-code login and config reset guidance; renumber sections * docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections) * docs: Fix webhook documentation to include meta dict in all webhook payloads - Add note explaining that meta objects from kickoff requests are included in all webhook payloads - Update webhook examples to show proper payload structure including meta field - Fix webhook examples to match actual API implementation - Apply changes to English, Korean, and Portuguese documentation Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API. * WIP: CrewAI docs theme, changelog, GEO, localization * docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko) * docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
66 lines
2.1 KiB
Plaintext
66 lines
2.1 KiB
Plaintext
---
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title: "Overview"
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description: "Leverage AI services, generate images, process vision, and build intelligent systems"
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icon: "face-smile"
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mode: "wide"
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---
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These tools integrate with AI and machine learning services to enhance your agents with advanced capabilities like image generation, vision processing, and intelligent code execution.
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## **Available Tools**
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<CardGroup cols={2}>
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<Card title="DALL-E Tool" icon="image" href="/en/tools/ai-ml/dalletool">
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Generate AI images using OpenAI's DALL-E model.
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</Card>
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<Card title="Vision Tool" icon="eye" href="/en/tools/ai-ml/visiontool">
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Process and analyze images with computer vision capabilities.
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</Card>
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<Card title="AI Mind Tool" icon="brain" href="/en/tools/ai-ml/aimindtool">
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Advanced AI reasoning and decision-making capabilities.
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</Card>
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<Card title="LlamaIndex Tool" icon="llama" href="/en/tools/ai-ml/llamaindextool">
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Build knowledge bases and retrieval systems with LlamaIndex.
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</Card>
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<Card title="LangChain Tool" icon="link" href="/en/tools/ai-ml/langchaintool">
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Integrate with LangChain for complex AI workflows.
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</Card>
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<Card title="RAG Tool" icon="database" href="/en/tools/ai-ml/ragtool">
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Implement Retrieval-Augmented Generation systems.
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</Card>
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<Card title="Code Interpreter Tool" icon="code" href="/en/tools/ai-ml/codeinterpretertool">
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Execute Python code and perform data analysis.
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</Card>
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</CardGroup>
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## **Common Use Cases**
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- **Content Generation**: Create images, text, and multimedia content
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- **Data Analysis**: Execute code and analyze complex datasets
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- **Knowledge Systems**: Build RAG systems and intelligent databases
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- **Computer Vision**: Process and understand visual content
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- **AI Safety**: Implement content moderation and safety checks
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```python
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from crewai_tools import DallETool, VisionTool, CodeInterpreterTool
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# Create AI tools
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image_generator = DallETool()
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vision_processor = VisionTool()
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code_executor = CodeInterpreterTool()
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# Add to your agent
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agent = Agent(
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role="AI Specialist",
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tools=[image_generator, vision_processor, code_executor],
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goal="Create and analyze content using AI capabilities"
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)
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