William Toolbox 🧰

William Toolbox is an open-source project designed to simplify the management of byzerllm models and auto-cder.RAG (Retrieval-Augmented Generation) systems. It provides a user-friendly interface for deploying, monitoring, and controlling various AI models and RAG setups.

This project is powered by auto-coder.chat. You can check how we develop this project by reading yamls in directory auto-coder-actions.

飞书文档链接： https://uelng8wukz.feishu.cn/wiki/R7mswlEn2iROu4kbUezcRyJAnSf?fromScene=spaceOverview

🌟 Features

• 🤖 Model Management: Deploy, start, stop, and monitor AI models
• 📚 RAG System Management: Create and control RAG setups
• 🖥️ User-friendly Web Interface: Easy-to-use dashboard for all operations
• 🔄 Real-time Status Updates: Monitor the status of your models and RAGs
• 🛠️ Flexible Configuration: Customize model and RAG parameters

🚀 Getting Started

Prerequisites

• Python 3.9+

Installation

pip install -U williamtoolbox

Running the Application

0. Create a work directory and cd into it:

   mkdir william-toolbox && cd william-toolbox
   

1. Start the backend server:

   william.toolbox.backend
   

2. Start the frontend server:

   william.toolbox.frontend
   

3. Open your browser and navigate to http://localhost:8006

📖 Usage

1. Adding a Model: Click on "Add Model" and fill in the required information.
2. Managing Models: Use the model list to start, stop, or check the status of your models.
3. Creating a RAG: Click on "Add RAG" and provide the necessary details.
4. Managing RAGs: Control and monitor your RAG systems from the RAG list.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

• Thanks to all contributors who have helped shape William Toolbox.
• Special thanks to the open-source community for providing the tools and libraries that make this project possible.