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Project description

LLM-cli

A lightweight Command Line Interface (CLI) for interacting with Large Language Models (LLMs) using LiteLLM.

💡 Why This Project?

Sometimes network constraints or data limitations make it difficult to access large language models via web interfaces. This CLI provides a lightweight, flexible solution for LLM interactions directly from the terminal.

🚀 Features

  • Simple CLI Interface: Easily chat with different LLMs from your terminal
  • Input: Pipe inputs or redirect file text.
  • Multiple Chat Modes:
    • Direct single-message chat
    • Interactive chat UI with markdown rendering
    • Image support for vision-capable models
  • Flexible Configuration: Customize model, temperature, and system prompts
  • Easy Configuration Management: Update settings with a simple command
  • Sessions : Logs chat sessions, can be resumed saved chat later.

🔧 Prerequisites

  • Api keys to the llms, set api keys as environment variables

💾 Installation

  1. Via Pip
pip install llm-to-cli

Or

  1. From Repo
# Clone the repository
git clone https://github.com/tikendraw/llm-cli.git
cd llm-cli

# Install 
pip install .

🖥️ Usage

Basic Chat

  • Send a single message to an LLM:

    llm-cli chat "Hello, how are you?"
    
  • Pipe input

    echo "what is 34th prime number" | llm-cli chat
    
  • File redirection

    llm-chat chat < some_file_with_question.txt
    

Interactive Chat UI

  • Start an interactive chat session:

    llm-cli chatui
    

Image Support

  • Add image
    llm-cli chat --image path/to/image/or/url
    

Configuration

  • View current configuration:

    llm-cli config
    
  • Update configuration:

    llm-cli config model "anthropic/claude-3-haiku"
    llm-cli config temperature 0.7
    

🛠️ Commands

  • chat: Send a single message
  • chatui: Interactive chat
  • config: Manage CLI configuration
  • history: See and manage history

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🖹 License

The MIT one.

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