Chat CLI

A comprehensive command-line interface for chatting with various AI language models. This application allows you to interact with different LLM providers through an intuitive terminal-based interface.

Features

• Interactive terminal UI with Textual library
• Support for multiple AI models:
  • OpenAI models (GPT-3.5, GPT-4)
  • OpenAI reasoning models (o1, o1-mini, o3, o3-mini, o4-mini)
  • Anthropic models (Claude 3 Opus, Sonnet, Haiku)
• Conversation history with search functionality
• Customizable response styles (concise, detailed, technical, friendly)
• Code syntax highlighting
• Markdown rendering

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/chat-cli.git
   cd chat-cli
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Set up your API keys:

   Create a .env file in the project root directory with your API keys:

   OPENAI_API_KEY=your_openai_api_key_here
   ANTHROPIC_API_KEY=your_anthropic_api_key_here
   

Usage

Run the application:

chat-cli

Testing Reasoning Models

To test the OpenAI reasoning models implementation, you can use the included test script:

./test_reasoning.py

This script will test both completion and streaming with the available reasoning models.

About OpenAI Reasoning Models

OpenAI's reasoning models (o1, o3, o4-mini, etc.) are LLMs trained with reinforcement learning to perform reasoning. These models:

• Think before they answer, producing a long internal chain of thought
• Excel in complex problem solving, coding, scientific reasoning, and multi-step planning
• Use "reasoning tokens" to work through problems step by step before providing a response
• Support different reasoning effort levels (low, medium, high)

The implementation in this CLI supports both standard completions and streaming with these models.

Keyboard Shortcuts

• q - Quit the application
• n - Start a new conversation
• s - Toggle sidebar
• f - Focus search box
• Escape - Cancel current generation
• Ctrl+C - Quit the application

Configuration

The application creates a configuration file at ~/.chatcli/config.json on first run. You can edit this file to:

• Change the default model
• Modify available models
• Add or edit response styles
• Change the theme
• Adjust other settings

Data Storage

Conversation history is stored in a SQLite database at ~/.chatcli/chat_history.db.

Development

The application is structured as follows:

• main.py - Main application entry point
• app/ - Application modules
  • api/ - LLM provider API client implementations
  • ui/ - User interface components
  • config.py - Configuration management
  • database.py - Database operations
  • models.py - Data models
  • utils.py - Utility functions

License

MIT