turboCommit
A powerful CLI tool that leverages OpenAI's GPT models to generate high-quality, conventional commit messages from your staged changes.
Features
- 🤖 Uses OpenAI's GPT models to analyze your staged changes
- 📝 Generates conventional commit messages that follow best practices
- 🎯 Interactive selection from multiple commit message suggestions
- ✏️ Edit messages directly or request AI revisions
- 🧠 Advanced reasoning mode for enhanced AI interactions
- 🔍 Comprehensive debugging capabilities with file or stdout logging
- ⚡ Streaming responses for real-time feedback
- 🔄 Auto-update checks to keep you on the latest version
- 🎨 Beautiful terminal UI with color-coded output
- ⚙️ Configurable settings via YAML config file
Installation
Pro tip: Add an alias to your shell configuration for quicker access:
# Add to your .bashrc, .zshrc, etc.
Usage
- Stage your changes:
- Generate commit messages:
After generating commit messages, you can:
- Select your preferred message from multiple suggestions
- Edit the message directly before committing
- Request AI revisions with additional context or requirements
- Commit the message once you're satisfied
Options
-n <number>- Number of commit message suggestions to generate-t <temperature>- Temperature for GPT model (0.0 to 2.0) (no effect in reasoning mode)-f <frequency_penalty>- Frequency penalty (-2.0 to 2.0)-m <model>- Specify the GPT model to use-r, --enable-reasoning- Enable support for models with reasoning capabilities (like o-series)--reasoning-effort <level>- Set reasoning effort for supported models (low/medium/high, default: medium)-d, --debug- Show basic debug info in console--debug-file <path>- Write detailed debug logs to file (use '-' for stdout)--auto-commit- Automatically commit with the generated message--api-key <key>- Provide API key directly--api-endpoint <url>- Custom API endpoint URL-p, --print-once- Disable streaming output
Reasoning Mode
When using models that support reasoning capabilities (like OpenAI's o-series), this mode enables their built-in reasoning features. These models are specifically designed to analyze code changes and generate commit messages with their own reasoning process.
Example usage:
Debugging
Debug output helps troubleshoot API interactions:
The debug logs include:
- Request details (model, tokens, parameters)
- API responses and errors
- Timing information
- Full request/response JSON (in file mode)
Model-Specific Notes
Different models have different capabilities and limitations:
O-Series Models (e.g., o3-mini)
- Support reasoning mode
- Do not support temperature/frequency parameters
- May not support multiple choices (
-n) - Optimized for specific tasks
Standard GPT Models
- Support all parameters
- Multiple choices available
- Temperature and frequency tuning
- Standard reasoning capabilities
For more options, run:
Configuration
turboCommit creates a config file at ~/.turbocommit.yaml on first run. You can customize:
- Default model
- API endpoint
- Temperature and frequency penalty
- Number of suggestions
- System message prompt
- Auto-update checks
- Reasoning mode defaults
- And more!
Example configuration:
model: "gpt-4"
default_temperature: 1.0
default_frequency_penalty: 0.0
default_number_of_choices: 3
enable_reasoning: true
reasoning_effort: "medium"
disable_print_as_stream: false
disable_auto_update_check: false
Multiple Config Files
You can maintain multiple configuration files for different use cases (e.g., different providers or environments) and specify which one to use with the -c or --config option:
# Use a local config file
# Use a different provider's config
# Use the default config
Each config file follows the same format as shown above. This allows you to easily switch between different configurations without modifying the default config file.
Contributing
Contributions are welcome! Feel free to open issues and pull requests.
License
Licensed under MIT - see the LICENSE file for details.