aiautocommit 0.6.0

AI generated commit messages

aiautocommit

Generate intelligent commit messages using AI. aiautocommit analyzes your staged changes and creates conventional commit messages, handling both small tweaks and large changesets effectively.

Yes, there are a lot of these. Main ways this is different:

• Simple codebase
• Ability to easily customize prompts on a per-repo basis

Installation

pip install aiautocommit

Features

• Generates conventional commit messages
• Customizable prompts and exclusions
• Pre-commit hook integration
• Supports custom config directories

Getting Started

Set your OpenAI API key:

export OPENAI_API_KEY=<YOUR API KEY>

Stage your changes and run aiautocommit:

git add .
aiautocommit

Customization

Using Config Directory

aiautocommit looks for configuration files in these locations (in priority order):

• .aiautocommit/ in current directory
• $XDG_CONFIG_HOME/aiautocommit/ (defaults to ~/.config/aiautocommit/)
• Custom path via aiautocommit_CONFIG environment variable

To get started with customization:

aiautocommit dump-prompts

This creates a .aiautocommit/ directory with:

• diff_prompt.txt: Template for generating diff summaries
• commit_prompt.txt: Template for generating commit messages
• exclusions.txt: List of files to exclude from processing

Installing Pre-commit Hook

To automatically generate commit messages during git commits:

aiautocommit install-pre-commit

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key
• aiautocommit_MODEL: AI model to use (default: gpt-4-mini)
• aiautocommit_CONFIG: Custom config directory path
• LOG_LEVEL: Logging verbosity
• aiautocommit_LOG_PATH: Custom log file path

Privacy Disclaimer

gpt-commit uses the OpenAI API to generate commit messages. Both file names and contents from files that contain staged changes will be shared with OpenAI when using gpt-commit. OpenAI will process this data according to their terms of use and API data usage policies. On March 1st 2023 OpenAI pledged that by default, they would not use data submitted by customers via their API to train or improve their models, and that this data will be retained for a maximum of 30 days, after which it will be deleted.

Special Thanks

This project inspired this project. It had a very simple codebase. I've taken the idea and expanded it to include a lot more features, specifically per-project prompt customization.

Related Projects

I looked at a bunch of projects before building this one.

• https://github.com/abi/aiautocommit - python, inactive. Many files, not simple.
• https://github.com/Sett17/turboCommit - rust, inactive.
• https://github.com/Nutlope/aicommits - typescript. Node is so slow and I hate working with it.
• https://github.com/Elhameed/aicommits - python
• https://github.com/zurawiki/gptcommit - active, rust. Too complicated and no prompt customization.
• https://github.com/ywkim/gpt-commit - lisp, inactive.
• https://github.com/markuswt/gpt-commit - single file, python based. No commits > 1yr. Very simple codebase.
• https://github.com/josenerydev/gpt-commit - also python
• https://github.com/di-sukharev/opencommit - has conventional commit structure