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camel-ai / crab

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/
https://crab.camel-ai.org/
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feature: image compression #30

Open dengjianbo3 opened 2 months ago

dengjianbo3 commented 2 months ago

Image Handling Optimization

Changes

Test Results

The test_image_processing_path method successfully demonstrates the optimized flow:

  1. Starts with a PIL Image
  2. Saves the image (using PIL format)
  3. Uses PIL Image for screenshot simulation
  4. Serializes to base64 only for network transfer
  5. Simulates network transfer using serialized data
  6. Deserializes back to PIL Image after transfer
  7. Passes PIL Image to the backend model

Benefits

Next Steps

Summary by CodeRabbit

coderabbitai[bot] commented 2 months ago

Walkthrough

The changes involve significant modifications to the save_base64_image function, which has been renamed to save_image and updated for improved validation using Pydantic. A new GLMModel class has been introduced for backend interactions with the ZhipuAI API, enhancing chat management and action handling. Additionally, a new test suite has been created to validate image processing functionalities, ensuring robust handling of image conversions and interactions.

Changes

Files Change Summary
crab/actions/file_actions.py Renamed save_base64_image to save_image, updated parameters for Pydantic validation, and changed internal logic to use base64_to_image. Now returns a confirmation message upon successful save.
crab/agents/backend_models/glm_model.py Introduced GLMModel class for ZhipuAI API interactions, including methods for resetting state, processing chat messages, recording interactions, and handling API requests with a retry mechanism.
test/core/test_image_handling.py Created a suite of unit tests for image processing, validating conversions between images and base64 strings, and simulating interactions with a mock backend model. Tests ensure robust functionality and maintain clean testing environments.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant GLMModel
    participant ZhipuAI_API

    User->>GLMModel: Send message
    GLMModel->>ZhipuAI_API: Process chat message
    ZhipuAI_API-->>GLMModel: Return response
    GLMModel->>User: Send assistant's message or actions

🐰 "In the code, a change was made,
A new model for chats displayed.
Images saved with care and grace,
Pydantic's rules now take their place.
With tests to check each little part,
Our code now sings, a work of art!" 🐇

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dandansamax commented 2 months ago

Close #19