OpenAI Models Viewer

A web-based interface for browsing and interacting with OpenAI-compatible API endpoints. This application allows you to manage multiple server connections, view available models, and chat with AI models directly from your browser.

Features

• Multi-Server Management: Add and manage multiple OpenAI-compatible endpoints
• Model Discovery: Browse and view all available models from configured servers
• Interactive Chat: Chat directly with AI models through a clean web interface
• Local Storage: Securely stores server configurations in browser localStorage
• Responsive Design: Works on desktop and mobile devices

Project Structure

├── app.py              # Flask backend server
├── requirements.txt    # Python dependencies
├── static/
│   ├── index.html      # Main HTML interface
│   ├── script.js       # Client-side JavaScript logic
│   └── style.css       # Styling and layout

Getting Started

Prerequisites

• Python 3.7+
• pip (Python package manager)

Installation

1. Clone the repository:

git clone <repository-url>
cd openai-models-viewer

2. Install Python dependencies:

pip install -r requirements.txt

3. Run the application:

python app.py

The application will start on http://localhost:5000 by default.

Usage

1. Add a Server:

   • Click the gear icon next to the server selector
   • Enter a server name (e.g., "OpenAI Production")
   • Enter the API endpoint URL (e.g., https://api.openai.com)
   • Enter your API key
   • Click "Add Server"

2. View Models:

   • Select a configured server from the dropdown
   • Models will automatically load and display

3. Chat with Models:

   • Click on any model to open the chat interface
   • Type your message and press Enter or click Send
   • View the AI's response in real-time

Development

Running with Custom Port

python app.py 8080

Docker Support

Build and run with Docker:

docker build -t openai-models-viewer .
docker run -p 5000:5000 openai-models-viewer

API Endpoints

The application connects to standard OpenAI-compatible endpoints:

• /models - List available models
• /v1/chat/completions - Chat completion endpoint

Security

• API keys are stored locally in browser localStorage
• All communication happens directly between your browser and the API endpoints
• No server-side storage of sensitive information

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Open a pull request

License

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

Acknowledgments

• Built with Flask (Python web framework)
• Uses modern JavaScript for client-side functionality
• Designed with responsive CSS for cross-device compatibility