onprem-shai 0.0.1

CLI tool to get command suggestions from OpenAI and interactively select them.

shai 🤖

AI-powered shell command suggestions

Overview

shai is a command-line tool that converts natural language into shell commands using AI. Simply describe what you want to do, and shai will suggest the appropriate commands.

Installation

Using pip

pip install shai

Quick Start

First, set your model to use:

export HOST_URL='model-host'
export MODEL_NAME='model-name-to-use'
export API_KEY='your-api-key'
export DEFAUT_SUGGESTIONS=2

Then use shai:

shai run docker test

Usage

Basic Usage

shai "create a new python virtual environment" -n 2

Examples

1. Docker operations:

$ shai "run nginx container with port 80"
1. docker run -p 80:80 nginx
2. docker run -d -p 80:80 nginx
Choose a command to execute (or 0 to cancel):

2. File operations:

$ shai "find all pdf files in current directory"
1. find . -name "*.pdf"
2. find . -type f -name "*.pdf"
Choose a command to execute (or 0 to cancel):

3. Git operations:

$ shai "undo last git commit"
1. git reset --soft HEAD~1
2. git reset --hard HEAD~1
Choose a command to execute (or 0 to cancel):

Features

• 🌟 Natural language command generation
• 🎯 Multiple command suggestions
• ✅ Command execution confirmation
• 🔄 Interactive command selection
• 🛡️ Safe execution with confirmation
• 📝 Clear and helpful suggestions

How It Works

1. You describe what you want to do in plain English
2. shai sends your request to LLM to generate command suggestions
3. You choose which command to execute
4. shai executes the selected command after confirmation

Requirements

• Python 3.9 or higher
• Running LLM (Local or OpenAI model)

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Security

• 🔒 Commands are never executed without explicit confirmation
• 🔑 API keys are handled securely via environment variables
• ⚠️ Always review suggested commands before execution

Limitations

• Requires active internet connection
• Depends on the LLM availability
• May incur API usage costs
• Suggestions may not always be perfect

License

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

Acknowledgments

• "Attention is all you need" paper
• The Python community for amazing tools and libraries
• All contributors who help improve this project

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Made with ❤️ by Islam Almersawi