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reactflow draft #325

Merged
merged 2 commits into from
Jun 20, 2024
Merged

reactflow draft #325

merged 2 commits into from
Jun 20, 2024

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Alina-Luo
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@ohdearquant ohdearquant left a comment

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please add a readme, include pictures to guide users on how to use the front end

@ohdearquant ohdearquant merged commit 59eb548 into lion-agi:main Jun 20, 2024
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ReactFlow Draft Implementation

Author

This PR was created by @Alina-Luo. Great work, Alina!

Overview

This pull request introduces a draft implementation of a ReactFlow-based interface for the LionAGI project. The new frontend components allow for visual representation and manipulation of AI agents, prompts, and tools in a flow-based layout.

Key Features

  1. Interactive Node Types:

    • Agent Node
    • Prompt Node
    • Tool Node
  2. Draggable Sidebar: Allows users to drag and drop new nodes onto the canvas.

  3. Custom Styling: Each node type has its own CSS module for specific styling.

  4. Connection Logic: Implemented custom logic for valid connections between different node types.

  5. Bootstrap Integration: Utilized Reactstrap components for consistent UI elements.

Technical Details

  • Implemented using Next.js as the React framework
  • Integrated ReactFlow for the flow-based interface
  • Used CSS Modules for component-specific styling
  • Incorporated Reactstrap and Bootstrap for responsive design
  • Set up Tailwind CSS (currently commented out, but ready for future use)

File Structure

  • /components: Contains individual node components and the sidebar
  • /pages: Includes the main application page
  • /styles: Global CSS and potential for Tailwind integration

Testing

This is an initial draft and will require thorough testing, especially for:

  • Node drag-and-drop functionality
  • Connection validity between different node types
  • Responsiveness of the layout
  • Performance with multiple nodes

Next Steps

  1. Implement state management for the flow
  2. Add functionality to save and load flow configurations
  3. Integrate with backend API for AI operations
  4. Enhance UI/UX based on user feedback
  5. Write unit and integration tests

Feedback Request

We would appreciate feedback on:

  • Overall architecture and component structure
  • UI/UX design and intuitiveness
  • Potential performance optimizations
  • Additional features that would be valuable for the LionAGI project

Thank you for reviewing this PR. Let's work together to make this flow-based interface a powerful tool for our AI operations!

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2 participants