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

Create a work directory and cd into it:

mkdir william-toolbox && cd william-toolbox

Start the backend server:
```
william.toolbox.backend
```
Start the frontend server:
```
william.toolbox.frontend
```
Open your browser and navigate to http://localhost:8006

📖 Usage

Adding a Model: Click on "Add Model" and fill in the required information.
Managing Models: Use the model list to start, stop, or check the status of your models.
Creating a RAG: Click on "Add RAG" and provide the necessary details.
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.

yqmxm/william-toolbox