orchat 1.1.0

A powerful CLI for chatting with AI models through OpenRouter.

OrChat

A powerful CLI for chatting with AI models through OpenRouter with streaming responses, token tracking, and extensive customization options.

✨ Features

• Universal Model Access: Connect to any AI model available on OpenRouter
• Interactive Chat: Enjoy a smooth conversation experience with real-time streaming responses
• Rich Markdown Rendering: View formatted text, code blocks, tables and more directly in your terminal
• Performance Analytics: Track token usage and response times for cost efficiency
• Multimodal Support: Share images and various file types with compatible AI models
• Smart Thinking Mode: See the AI's reasoning process with compatible models
• Extensible Plugin System: Easily extend functionality with custom plugins
• Multiple Export Formats: Save conversations as Markdown, HTML, JSON, TXT, or PDF
• Smart Context Management: Automatically manages conversation history to stay within token limits
• Customizable Themes: Choose from different visual themes for your terminal
• File Attachment Support: Share files of various types with the AI for analysis

🚀 Installation

From PyPI (Recommended)

pip install orchat

From Source

git clone https://github.com/oop7/OrChat.git
pip install -r requirements.txt
python main.py

📋 Prerequisites

• Python 3.7 or higher
• An OpenRouter API key (get one at OpenRouter.ai)
• Required packages: requests, tiktoken, rich, dotenv, colorama

🏁 Getting Started

1. Install OrChat using one of the methods above
2. Run the setup wizard
   • if you follow from source PyPI:

     orchat --setup
     

   • if you follow from source method:

     python main.py --setup
     

3. Enter your OpenRouter API key when prompted
4. Select your preferred AI model and configure settings
5. Start chatting!

⚙️ Configuration

OrChat can be configured in multiple ways:

1. Setup Wizard: Run python main.py --setup for interactive configuration
2. Config File: Edit the config.ini file in the application directory
3. Environment Variables: Create a .env file with your configuration

Example .env file:

OPENROUTER_API_KEY=your_api_key_here

Example config.ini structure:

[API]
OPENROUTER_API_KEY = your_api_key_here

[SETTINGS]
MODEL = anthropic/claude-3-opus
TEMPERATURE = 0.7
SYSTEM_INSTRUCTIONS = You are a helpful AI assistant.
THEME = default
MAX_TOKENS = 8000
AUTOSAVE_INTERVAL = 300
STREAMING = True
THINKING_MODE = True

🖥️ Command-Line Options

• --setup: Run the setup wizard
• --model MODEL: Specify the model to use (e.g., --model "anthropic/claude-3-opus")
• --task {creative,coding,analysis,chat}: Optimize for a specific task type
• --image PATH: Analyze an image file

💬 Chat Commands

Command	Description
/help	Show available commands
/exit	Exit the chat
/new	Start a new conversation
/clear	Clear conversation history
/cls or /clear-screen	Clear the terminal screen
/save [format]	Save conversation (formats: md, html, json, txt, pdf)
/model	Change the AI model
/temperature <0.0-2.0>	Adjust temperature setting
/system	View or change system instructions
/tokens	Show token usage statistics
/speed	Show response time statistics
/theme <theme>	Change the color theme (default, dark, light, hacker)
/thinking	Show last AI thinking process
/thinking-mode	Toggle thinking mode on/off
/attach or /upload	Share a file with the AI
/about	Show information about OrChat
/update	Check for updates
/settings	View current settings

📁 File Attachment

Share files with the AI for analysis:

/attach path/to/your/file.ext

Supported file types:

• Images: JPG, PNG, GIF, WEBP (displayed visually with multimodal models)
• Code Files: Python, JavaScript, Java, C++, etc. (with syntax highlighting)
• Text Documents: TXT, MD, CSV (full content displayed)
• Data Files: JSON, XML (displayed with formatting)
• PDFs and Archives: Basic metadata support

🧠 Thinking Mode

OrChat can display the AI's reasoning process:

/thinking-mode       # Toggle thinking mode on/off
/thinking            # Show the most recent thinking process

This feature allows you to see how the AI approached your question before giving its final answer.

🔌 Plugin System

Extend OrChat's functionality with custom plugins by creating Python files in the plugins directory:

from main import Plugin

class MyCustomPlugin(Plugin):
    def __init__(self):
        super().__init__("My Plugin", "Description of what my plugin does")
    
    def on_message(self, message, role):
        # Process message before sending/after receiving
        return message
    
    def on_command(self, command, args):
        # Handle custom commands
        if command == "my_command":
            return True, "Command executed successfully!"
        return False, "Command not handled"
    
    def get_commands(self):
        return ["/my_command - Description of my custom command"]

🎨 Themes

Change the visual appearance with the /theme command:

• default: Blue user, green assistant
• dark: Cyan user, magenta assistant
• light: Blue user, green assistant with lighter colors
• hacker: Matrix-inspired green text on black

📊 Token Management

OrChat intelligently manages conversation context to keep within token limits:

• Automatically trims old messages when approaching limits
• Displays token usage statistics after each response
• Allows manual clearing of context with /clear

🔄 Updates

Check for updates with the /update command to see if a newer version is available.

🔍 Troubleshooting

• API Key Issues: Ensure your OpenRouter API key is correctly set in config.ini or .env file
• File Path Problems: When using /attach, make sure to use the correct path format for your OS
• Model Compatibility: Some features like thinking mode only work with specific models

📝 License

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

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

🙏 Acknowledgments

• OpenRouter for providing unified API access to AI models
• Rich for the beautiful terminal interface