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A Notebook Product Solution with Flexible Customization and Easy Integration

Features

• Provides comprehensive Notebook functionality with a rich set of auxiliary tools, allowing for quick adoption based on existing setups.
• Supports kernel-level extensibility, enabling customization and further development at all layers.
• Defines workflows for large models, with built-in capabilities for model interaction and AI-powered assistance.

　

🌟🌟🌟 If you like this project, feel free to give us a star! 🌟🌟🌟

　

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Table of Contents

• Quick Start
• New Features
  • AI Capability
  • Prompt Cell
  • Sql Cell
• Technical Architecture
• Future Plans
• More
  • Reporting Issues
  • Contributing
  • Contributors
  • Contact Us

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Quick Start

pip install libro

Note

The Python version used is 3.10-3.12. Higher versions of Python may encounter issues with unsupported dependencies.

For more details, please refer to quick start。

New Features

AI Capability

• Error Fixing

• Chat

  • Contextual Chat in Cells
    

  • General AI Chat

• Code Explanation

• Code Optimization

Prompt Cell

• Enhances the ability to interact directly with large models, supporting text conversations, multimodal expressions, and more.
• Improves interaction capabilities for common output types, such as providing options to copy or run code when outputting it.
• Built-in OpenAI models are available, and you can also extend models in the following ways:
  • Define variables for LLMs, agents, and other dialogue objects based on Langchain, which can be directly used in Prompt Cells.
  • Extend your own models based on libro-ai.

For more details, please refer to prompt cell manual。

Sql Cell

• Supports interaction capabilities for executing SQL commands.
• Connect to SQL databases to write SQL code directly in the notebook.

For more details, please refer to sql cell manual。

Technical Architecture

Future Plans

• AI Capability Integration
• Support for Prompt Notebook
• Execution of libro in the Browser

More

Reporting Issues

😊 We recommend submitting your questions through github issue, and we typically respond within two days.

Contributing

🤝 Please refer to CONTRIBUTING.md

Contributors

💪 Thanks to all contributors

Contact Us

💬 Chat with us on Discord

🤗 Join our DingTalk Q&A group