llm-git-commits 1.1.1

Intelligent Git Commit Tool with LLM Integration

🤖 Intelligent Git Commit Tool

An AI-powered command-line tool that automatically generates meaningful commit messages and manages project documentation using Large Language Models (LLMs) from multiple providers including OpenRouter, OpenAI, Anthropic, and Google Gemini.

✨ Features

🎯 Smart Commit Messages

• AI-Generated: Creates contextual, descriptive commit messages by analyzing your code changes
• Conventional Commits: Follows best practices with proper type prefixes (feat:, fix:, docs:, etc.)
• Customizable: Override generated messages or use different AI models

🔍 Interactive Staging

• Hunk-by-Hunk: Stage individual changes within files, similar to git add -p
• Visual Diff: Colored output showing additions, deletions, and context
• Flexible Options: Auto-stage all changes, select specific files, or choose individual hunks

🧠 Intelligent Staging

• Automatic Commit Planning: Let the LLM analyze all your changes and group them into logical, separate commits.
• Multi-Commit Workflow: Automatically generates multiple focused commit messages for the planned commits.
• Interactive Confirmation: Review and approve each proposed commit before it's made.

📚 Documentation Management

• Smart Analysis: Automatically suggests documentation updates based on code changes
• CRUD Operations: Create, update, and manage documentation files
• Simple Patch Format: Uses an LLM-friendly patch system for precise updates
• Multi-Format Support: Works with Markdown, reStructuredText, and plain text files

🚀 Quick Start

Prerequisites

• Python 3.10+
• Git repository
• API keys for OpenRouter, OpenAI, Anthropic, or Google Gemini

Installation

1. Install from PyPI:

   pip install llm-git-commits
   

2. Configure the tool: Run the interactive configuration wizard to set up your provider, API key, and default model.

   llm-git-commits config
   

Basic Usage

# Interactive mode - stage changes selectively
llm-git-commits -i

# Auto-commit all changes
llm-git-commits -a

# Manage documentation
llm-git-commits --docs-dir ./docs --docs-only

# Let the AI create multiple commits automatically
llm-git-commits --intelligent

📖 Detailed Usage

Command Line Options

Option	Short	Description
config		Run the interactive configuration wizard.
--interactive	-i	Interactive hunk staging mode.
--auto-stage	-a	Automatically stage all changes.
--intelligent		Use LLM to group changes into multiple commits.
--docs-dir		Path to documentation directory.
--docs-only		Only perform documentation management.
--commit-message	-m	Override generated commit message.

Usage Examples

1. Interactive Staging (Recommended)

llm-git-commits -i

This mode lets you:

• Review each change individually
• Stage only the changes you want to commit
• Generate focused commit messages for specific changes

2. Quick Commit All Changes

llm-git-commits -a

Perfect for when you want to commit all your changes with an AI-generated message.

3. Documentation Management

llm-git-commits --docs-dir ./docs --docs-only

The tool will:

• Analyze your recent changes
• Suggest documentation updates
• Help create or update documentation files
• Use a simple patch system for precise edits

4. Intelligent Staging

llm-git-commits --intelligent

This mode analyzes all modified files and uses the LLM to group related changes into separate, logical commits. It will then propose each commit for your approval.

🛠️ How It Works

Commit Message Generation

The tool analyzes your staged changes and generates commit messages following these principles:

• Conventional Commits: Uses standard prefixes (feat:, fix:, docs:, refactor:, etc.)
• Imperative Mood: "Add feature" not "Added feature"
• Descriptive: Explains what and why, not just what
• Concise: First line under 50 characters

Example generated messages:

feat(auth): add OAuth2 login support
fix(api): handle null response in user endpoint
docs: update installation instructions for Docker
refactor: simplify database connection logic

Interactive Staging

When you use --interactive, the tool:

1. Parses Diffs: Breaks down file changes into individual "hunks"
2. Shows Previews: Displays colored diffs for each change
3. Prompts for Action: Ask whether to stage each hunk
4. Applies Changes: Uses git apply --cached to stage selected hunks

Documentation Updates

The documentation system:

1. Analyzes Context: Reviews recent commits, modified files, and project structure
2. Suggests Changes: Recommends documentation updates based on code changes
3. Provides Templates: Generates new documentation from scratch
4. Applies Patches: Uses a simple patch format for precise updates

Patch Format

The tool uses a simple, LLM-friendly patch format:

PATCH_START
SECTION: Installation
ACTION: REPLACE
CONTENT:
## Installation

1. Install Python 3.8+
2. Run: `pip install -r requirements.txt`
3. Set up your config file
PATCH_END

🎨 Interactive Mode Demo

📝 File: src/auth.py
==================================================

Hunk 1/3:
@@ -45,6 +45,12 @@ def authenticate(username, password):
     if not username or not password:
         return False
     
+    # Add rate limiting
+    if check_rate_limit(username):
+        raise RateLimitError("Too many attempts")
+    
     user = get_user(username)
     return verify_password(user, password)

Stage this hunk? [y/n/q/d]: y

🤖 Generating commit message...

📝 Proposed commit message:
--------------------------------------------------
feat(auth): add rate limiting to authentication

Prevents brute force attacks by limiting login attempts
per username. Raises RateLimitError when threshold exceeded.
--------------------------------------------------

Proceed with commit? [Y/n]: 

🔧 Configuration

Configuration File

The first time you run llm-git-commits config, it will create a configuration file at ~/.config/git-commit-tool/config.ini. This file stores your API keys, default model, and other preferences.

You can edit this file manually or re-run llm-git-commits config at any time.

Model Selection

During the interactive configuration, you can search for and select from all models available from your chosen provider.

Popular models include:

Provider	Model Name
OpenRouter	google/gemini-2.5-flash-preview-05-20 (Default)
	anthropic/claude-sonnet-4-20250514
	openai/gpt-4o-mini
OpenAI	gpt-4o-mini
Anthropic	claude-sonnet-4-20250514

🤝 Contributing

Contributions are welcome! Here are some ways to help:

• Bug Reports: Found an issue? Please open an issue with details
• Feature Requests: Have an idea? We'd love to hear it
• Code Contributions: Submit pull requests for improvements
• Documentation: Help improve these docs

Development Setup

# Clone the repository
git clone https://github.com/Slipstreamm/llm-git-commits.git
cd llm-git-commits

# Install in editable mode
pip install -e .

# Run tests (if you add them)
python -m pytest tests/

📝 License

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

🙏 Acknowledgments

• OpenRouter for providing easy access to multiple LLM providers
• Conventional Commits for the commit message format specification
• Git for the amazing version control system that makes this all possible

🆘 Troubleshooting

Common Issues

"Not in a git repository"

• Make sure you're running the tool from within a git repository
• Initialize a repo with git init if needed

"LLM API call failed"

• Check your API key is correct and has credits
• Verify network connectivity
• Try a different model

"Failed to stage changes"

• Ensure files aren't locked or in use by other processes
• Check git status for any conflicts

"No changes staged for commit"

• Make sure you have modified files
• Try git status to see what's changed
• Use --auto-stage to stage everything

Getting Help

• Issues: Open an issue on GitHub
• Discussions: Use GitHub Discussions for questions
• Documentation: Check this README and inline help (--help)