AI-powered shell command suggestions

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. You can use OpenAI or a local LLM as long as it follows the same format and supports the structured output feature. vLLM models are tested and supported.

pip install onprem-shai

First, set your model to use:

export SHAI_BASE_URL='model-host'
export SHAI_MODEL_NAME='model-name-to-use'
export SHAI_API_KEY='your-api-key'
export SHAI_DEFAULT_SUGGESTIONS=2

Then use shai:

shai run docker test

shai create a new python virtual environment

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):

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

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

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

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

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

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

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

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

Made with ❤️ by Islam Almersawi