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LLM-powered Git commit message generator with multi-provider support

Project description

🚀 Git Auto Commit (gac)

PyPI version Python Build Status codecov Ruff mypy Contributions welcome License: MIT

LLM-powered commit messages that understand your code.

Tired of writing commit messages? Replace git commit -m "..." with gac for contextual, well-formatted commit messages generated by large language models.


What You Get

Intelligent, contextual messages that explain the why behind your changes:

GAC generating a contextual commit message


Quick Start

Use without installing

uvx gac init  # Configure your LLM provider
uvx gac  # Generate and commit with LLM

That's it! Review the generated message and confirm with y.

Install gac globally

uv tool install gac
gac init
gac

Key Features

🌐 Supported Providers

  • AnthropicCerebrasChutes.aiDeepSeekFireworksGemini
  • GroqLM StudioMiniMaxOllamaOpenAIOpenRouter
  • StreamlakeSynthetic.newTogether AIZ.AIZ.AI Coding

🧠 Smart LLM Analysis

  • Understands intent: Analyzes code structure, logic, and patterns to understand the "why" behind your changes, not just what changed
  • Semantic awareness: Recognizes refactoring, bug fixes, features, and breaking changes to generate contextually appropriate messages
  • Intelligent filtering: Prioritizes meaningful changes while ignoring generated files, dependencies, and artifacts

📝 Multiple Message Formats

  • One-liner (-o flag): Single-line commit message following conventional commit format
  • Standard (default): Summary with bullet points explaining implementation details
  • Verbose (-v flag): Comprehensive explanations including motivation, technical approach, and impact analysis

💻 Developer Experience

  • Interactive feedback: Regenerate messages with specific requests like r "make it shorter" or r "focus on the bug fix"
  • One-command workflows: Complete workflows with flags like gac -ayp (stage all, auto-confirm, push)
  • Git integration: Respects pre-commit and lefthook hooks, running them before expensive LLM operations

🛡️ Built-in Security

  • Automatic secret detection: Scans for API keys, passwords, and tokens before committing
  • Interactive protection: Prompts before committing potentially sensitive data with clear remediation options
  • Smart filtering: Ignores example files, template files, and placeholder text to reduce false positives

Usage Examples

Basic Workflow

# Stage your changes
git add .

# Generate and commit with LLM
gac

# Review → y (commit) | n (cancel) | r (reroll)

Common Commands

Command Description
gac Generate commit message
gac -y Auto-confirm (no review needed)
gac -a Stage all before generating commit message
gac -o One-line message for trivial changes
gac -v Verbose format with Motivation, Technical Approach, and Impact Analysis
gac -h "hint" Add context for LLM (e.g., gac -h "bug fix")
gac -s Include scope (e.g., feat(auth):)
gac -p Commit and push

Power User Examples

# Complete workflow in one command
gac -ayp -h "release preparation"

# Detailed explanation with scope
gac -v -s

# Quick one-liner for small changes
gac -o

# Debug what the LLM sees
gac --show-prompt

# Skip security scan (use carefully)
gac --skip-secret-scan

Interactive Reroll System

Not happy with the result? Use the reroll feature for intelligent regeneration:

# Simple reroll
r

# With specific feedback
r make it shorter and focus on the performance improvement
r use conventional commit format with scope
r explain the security implications

Configuration

Run gac init to configure your provider interactively, or set environment variables:

# Example configuration
GAC_MODEL=anthropic:your-model-name
OPENAI_API_KEY=your_key_here
ANTHROPIC_API_KEY=your_key_here

See .gac.env.example for all available options.


Getting Help


Made with ❤️ for developers who want better commit messages

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