y-gui

A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

✨ Features

• 💬 Interactive chat interface with AI models
• 🤖 Support for multiple bot configurations (any base_url/api_key/model combination)
• 🔗 MCP (Model Context Protocol) client support with multiple server configurations
• 🔒 Secure authentication with Auth0 and Google login
• 🌓 Dark/light theme support
• 📝 All chat data stored in Cloudflare KV/R2 for easy access and sync
• 🔄 Real-time updates with SWR
• 📱 Responsive design for all devices

Demo

chat history

Architecture

y-gui consists of two main components:

1. Frontend: React application with TypeScript, Tailwind CSS, and SWR for data fetching
2. Backend: Cloudflare Workers with KV and R2 storage

flowchart TD
    Client[React Client] --> Worker[Cloudflare Worker]
    Worker --> KV[Cloudflare KV]
    Worker --> R2[Cloudflare R2]
    Worker --> AI[AI Providers]

    subgraph "Frontend"
        Client --> Components[React Components]
        Components --> State[SWR State]
        State --> API[API Layer]
    end

    subgraph "Backend"
        Worker --> Auth[Auth Middleware]
        Worker --> Storage[Storage Layer]
        Worker --> Provider[Provider Layer]
    end

⚡ Quick Start

Prerequisites

1. Node.js and npm
2. Cloudflare account
3. Auth0 account
4. API keys for AI providers

Installation

1. Clone the repository:

   git clone https://github.com/luohy15/y-gui.git
   cd y-gui
   

2. Install dependencies:

   npm install
   

3. Configure environment variables:

   • Configure Cloudflare Worker settings in backend/wrangler.toml
   • Change the auth0 settings in frontend/src/index.tsx and backend/src/utils/auth.ts

4. Build asset:

   npm run build
   

5. Deploy cloudflare worker

   npm run deploy
   

🛠️ Development

Project Structure

y-gui/
├── frontend/               # React frontend application
│   ├── src/
│   │   ├── components/     # React components
│   │   ├── contexts/       # React contexts
│   │   ├── utils/          # Utility functions
│   │   └── index.tsx       # Entry point
├── backend/                # Cloudflare Worker backend
│   ├── src/
│   │   ├── api/            # API endpoints
│   │   ├── middleware/     # Middleware
│   │   ├── repository/     # Data access
│   │   └── index.ts        # Worker entry
├── shared/                 # Shared code between frontend and backend
│   └── types/              # TypeScript type definitions
└── memory-bank/            # Project documentation

Available Scripts

• npm run dev: Start both frontend and backend development servers
• npm run dev:frontend: Start only the frontend development server
• npm run dev:backend: Start only the backend development server
• npm run build: Build both frontend and backend
• npm run deploy: Deploy the backend to Cloudflare Workers
• npm run test: Run tests

🔒 Authentication

y-gui uses Auth0 for authentication with the following features:

• Universal Login
• Google social login
• Token-based session management
• Secure API access

🤖 Bot Configuration

y-gui supports multiple bot configurations with the following properties:

• Name
• Model
• Base URL
• API Key
• Print Speed
• MCP Servers
• API Type
• Custom API Path
• Max Tokens
• Reasoning Effort

🔗 MCP Server Configuration

MCP (Model Context Protocol) servers can be configured with:

• Name
• Command
• Arguments
• Environment Variables
• URL
• Token

🌐 API Endpoints

The backend provides RESTful API endpoints for:

• Chat operations
• Bot configuration management
• MCP server configuration management
• Authentication

🔄 Data Storage

• Chat data is stored in Cloudflare KV
• Backup data is stored in Cloudflare R2
• Bot and MCP server configurations are stored in Cloudflare R2

🧩 Technologies Used

• Frontend: React, TypeScript, Tailwind CSS, SWR, Auth0
• Backend: Cloudflare Workers, KV, R2
• Build Tools: Vite, Wrangler, TypeScript

📚 Documentation

For more detailed documentation, see the memory-bank directory.

🤝 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.