A CLI tool that converts natural language to CLI commands using LLMs
Project description
DoForMe
A CLI tool that converts natural language into CLI commands using AI. No more remembering complex command syntax!
Features
- 🤖 Uses OpenAI's GPT models to understand natural language
- 🔍 Automatically checks if required tools are installed
- ⚡ Fast and easy to use
- 🔐 Secure API key management
- ✅ Confirmation before executing commands
- 🎯 Dry-run mode to preview commands
Installation
From PyPI (when published)
pip install doforme
From source
git clone https://github.com/yourusername/doforme.git
cd doforme
pip install -e .
Setup
1. Get an OpenAI API Key
Get your API key from OpenAI Platform
2. Configure the API Key
You have two options:
Option A: Environment Variable (Recommended)
export OPENAI_API_KEY=your_key_here
Add this to your ~/.bashrc or ~/.zshrc to make it permanent.
Option B: Interactive Setup
Just run doforme without an API key and it will prompt you to enter one:
doforme "list files"
Option C: Using DoForMe itself
doforme "set the api key to sk-..."
Usage
Basic Usage
Simply describe what you want to do in natural language:
doforme "downsize with ffmpeg to max 1024 on each side"
This will:
- Query the AI to generate the appropriate command
- Show you the command
- Ask for confirmation
- Execute it (if you confirm)
More Examples
# File operations
doforme "find all python files in this directory"
doforme "compress this folder into a zip file"
doforme "count lines of code in all js files"
# Media processing
doforme "convert all png images to jpg"
doforme "extract audio from video.mp4"
doforme "create a gif from images"
# System operations
doforme "show disk usage"
doforme "find the largest files in current directory"
doforme "check my internet speed"
# Git operations
doforme "show git log for the last 5 commits"
doforme "undo last commit but keep changes"
Options
Dry Run Mode
Preview the command without executing:
doforme --dry-run "delete all log files"
Auto-Execute Mode
Skip confirmation (use with caution!):
doforme --yes "show current date"
doforme -y "list files"
How It Works
- Input: You provide a natural language description
- AI Processing: DoForMe sends your request to OpenAI's API
- Command Generation: The AI generates the appropriate CLI command
- Validation: Checks if required tools are installed
- Confirmation: Shows you the command and asks for confirmation
- Execution: Runs the command in your shell
Safety Features
- ✅ Shows you the command before execution
- ✅ Checks if required tools exist on your system
- ✅ Secure API key storage (600 permissions)
- ✅ Confirmation prompts (can be disabled with
-y) - ✅ Dry-run mode for testing
Error Handling
If a required tool is not installed, DoForMe will tell you:
$ doforme "convert video with ffmpeg"
🤔 Thinking about: convert video with ffmpeg
📋 Command: ffmpeg -i input.mp4 output.avi
❌ Error: Required tool 'ffmpeg' is not installed on your system.
Please install it and try again.
Configuration
API key is stored in ~/.config/doforme/config with secure permissions (600).
To change your API key:
doforme "set the api key to sk-new-key-here"
Or manually edit ~/.config/doforme/config.
Requirements
- Python 3.8 or higher
- OpenAI API key
- Internet connection (for API calls)
Privacy & Security
- Your prompts are sent to OpenAI's API
- API keys are stored locally with restricted permissions
- Commands are shown before execution
- No telemetry or tracking
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see LICENSE file for details
Troubleshooting
"No OpenAI API key found"
Make sure you've set the OPENAI_API_KEY environment variable or run the interactive setup.
"Required tool not installed"
Install the missing tool using your package manager:
# Ubuntu/Debian
sudo apt install <tool-name>
# macOS
brew install <tool-name>
# Fedora
sudo dnf install <tool-name>
Command doesn't work as expected
Use --dry-run to see the generated command and adjust your prompt for better results.
Acknowledgments
- Built with OpenAI API
- Inspired by the need to simplify CLI usage
Support
For issues and questions, please open an issue on GitHub.
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