Welcome to the AI‐Chat‐Linux‐Client wiki!

Welcome to the Chat Linux Client documentation wiki. This is a privacy-first, multi-provider AI desktop client for Linux systems that unifies multiple AI providers and local models into a single conversational interface.

Quick Links

• Installation - How to install and set up the application
• Configuration - Configure API keys and settings
• Usage - How to use the application
• API Providers - Supported AI providers and how to use them
• Troubleshooting - Common issues and solutions
• Development - Development setup and contribution guide
• Architecture - System architecture and design
• FAQ - Frequently asked questions

Features

• Multi-Provider Support: OpenAI, Ollama (local), Groq, HuggingFace, OpenRouter
• Offline Capability: Full functionality with local Ollama models
• Streaming Responses: Real-time token-by-token response rendering
• Privacy-First: No telemetry, local key storage, optional encryption
• Intelligent Routing: Automatic model selection based on requirements
• Extensible Architecture: Plugin system for custom providers and tools
• Modern UI: Dark theme with PyQt6 interface

System Requirements

• Python: 3.8 or higher
• Operating System: Linux (Ubuntu 20.04+, Fedora 35+, Arch Linux)
• Memory: 4GB RAM minimum (8GB recommended)
• Storage: 500MB free space
• Optional: Ollama for local AI models

Getting Started

1. Install the application
2. Configure your API keys
3. Start chatting

Support

For issues and questions:

• Check the Troubleshooting section
• Run system checks for diagnostics: python main.py --check-system
• Create an issue on the project repository

License

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