🤖 AI-Commit 🤖

A powerful CLI tool that uses AI to generate meaningful, insightful git commit messages based on your code changes.

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Table of Contents

• Features
• Setup
  • Installation
  • Upgrading
• Usage
  • CLI Mode
  • Git Hook Integration
• LLM Providers
  • OpenAI (Default)
  • Anthropic Claude
  • Azure OpenAI
  • Ollama (Local)
  • Custom/RAG
• Configuration
  • Options
  • Environment Variables (.env)
  • Project-Specific Configuration
• Maintainers
• Contributing

Features

• 🤖 AI-Powered Commits: Generates meaningful commit messages based on your code changes
• 🔄 Git Integration: Works seamlessly with your existing Git workflow
• 🪝 Git Hook Support: Can be installed as a Git hook for automatic message generation
• 🌐 Multiple Languages: Supports commit messages in different locales
• ⚙️ Customizable: Configure the AI model, message length, and other parameters
• 📝 Project Context: Add project-specific context to improve message relevance
• 🔌 Multiple LLM Providers: Choose from OpenAI, Anthropic, Azure OpenAI, Ollama, or custom endpoints

Setup

A minimum of Node v20 is required. Check your Node.js version with node --version.

Installation

1. Install AI-Commit:

   npm install -g @negoziator/ai-commit

2. Choose and configure your LLM provider:

   Option A: OpenAI (Default)

   aicommit config set OPENAI_KEY=<your-api-key>

   Get your API key from OpenAI Platform

   Option B: Anthropic Claude

   aicommit config set provider=anthropic
   aicommit config set ANTHROPIC_KEY=<your-api-key>

   Get your API key from Anthropic Console

   Option C: Ollama (Local, Free)

   # Install Ollama from https://ollama.com, then:
   ollama pull llama3.2
   aicommit config set provider=ollama
   aicommit config set model=llama3.2

   Option D: Azure OpenAI

   aicommit config set provider=azure-openai
   aicommit config set AZURE_OPENAI_KEY=<your-key>
   aicommit config set AZURE_ENDPOINT=<your-endpoint>

   See the LLM Providers section for more options and details.

Upgrading

npm update -g @negoziator/ai-commit

Usage

CLI Mode

Use aicommit directly to generate a commit message for your staged changes:

git add <files...>
aicommit

Example workflow:

$ git add .
$ aicommit
✓ Analyzing your changes...
✓ Generating commit message...

AI-generated commit message:
feat: add project-specific configuration support via .ai-commit.json

? Use this message? › (Y/n)

Git Hook Integration

You can set up AI-Commit as a Git hook to automatically generate commit messages:

# Install the prepare-commit-msg hook
aicommit hook install

This will add a Git hook that automatically suggests commit messages when you run git commit.

To uninstall the hook:

aicommit hook uninstall

LLM Providers

AI-Commit supports multiple LLM providers, allowing you to choose the best option for your needs.

OpenAI (Default)

The default provider using OpenAI's GPT models.

Setup:

aicommit config set OPENAI_KEY=<your-api-key>

Recommended models:

• gpt-4o-mini (default, fast and cost-effective)
• gpt-4o (more capable, higher cost)
• gpt-4-turbo

Get your API key: OpenAI Platform

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Anthropic Claude

Use Anthropic's Claude models as an alternative to OpenAI.

Setup:

aicommit config set provider=anthropic
aicommit config set ANTHROPIC_KEY=<your-api-key>

Recommended models:

• claude-3-5-sonnet-20241022 (recommended, best balance)
• claude-3-opus-20240229 (most capable)
• claude-3-haiku-20240307 (fastest, most economical)

Get your API key: Anthropic Console

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Azure OpenAI

Use Azure's OpenAI Service for enterprise deployments.

Setup:

aicommit config set provider=azure-openai
aicommit config set AZURE_OPENAI_KEY=<your-api-key>
aicommit config set AZURE_ENDPOINT=<your-endpoint>

Example endpoint: https://your-resource.openai.azure.com

Note: The model config should match your Azure deployment name.

Learn more: Azure OpenAI Service

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Ollama (Local)

Run AI-Commit completely offline using local models via Ollama.

Setup:

# 1. Install Ollama from https://ollama.com
# 2. Pull a model
ollama pull llama3.2

# 3. Configure AI-Commit
aicommit config set provider=ollama
aicommit config set model=llama3.2

Recommended models:

• llama3.2 (recommended, good balance)
• codellama (optimized for code)
• mistral (fast and capable)
• qwen2.5-coder (specialized for coding)

Default endpoint: http://localhost:11434 (automatically configured)

Benefits:

• ✅ Completely free
• ✅ Works offline
• ✅ Privacy-focused (data never leaves your machine)
• ✅ No API key required

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Custom/RAG

Connect to custom LLM endpoints, RAG systems, or OpenAI-compatible APIs.

Setup:

aicommit config set provider=custom
aicommit config set CUSTOM_ENDPOINT=<your-endpoint-url>
aicommit config set CUSTOM_KEY=<optional-api-key>

Compatible with:

• Custom RAG implementations
• LM Studio
• LocalAI
• Text Generation WebUI
• vLLM
• Any OpenAI-compatible API

Example:

aicommit config set provider=custom
aicommit config set CUSTOM_ENDPOINT=https://my-rag.example.com/v1/chat/completions
aicommit config set model=my-custom-model

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Configuration

Manage configuration using the aicommit config command.

To get a configuration option value, use the command:

aicommit config get <key>

For example, to retrieve the API key, you can use:

aicommit config get OPENAI_KEY
> sk_1234567890

To set a configuration option, use the command:

aicommit config set <key>=<value>

Options

General Options

Option	Default	Description
provider	openai	LLM provider to use (openai, anthropic, azure-openai, ollama, custom)
locale	en	Locale for the generated commit messages
generate	1	Number of commit messages to generate
model	gpt-4o-mini	The model to use (provider-specific)
timeout	10000	Network request timeout in milliseconds
max-length	50	Maximum character length of the generated commit message
type	""	Type of commit message to generate (conventional or empty)
auto-confirm	false	Automatically confirm the generated commit message without user prompt
prepend-reference	false	Prepend issue reference from branch name to commit message
temperature	0.2	Temperature (0.0-2.0) to control randomness of the output
max-completion-tokens	10000	Maximum number of tokens that can be generated in the completion
proxy	N/A	HTTPS proxy URL (e.g., http://proxy.example.com:8080)

Provider-Specific Options

Option	Provider	Description
OPENAI_KEY	OpenAI	OpenAI API key (starts with sk-)
ANTHROPIC_KEY	Anthropic	Anthropic API key (starts with sk-ant-)
AZURE_OPENAI_KEY	Azure OpenAI	Azure OpenAI API key
AZURE_ENDPOINT	Azure OpenAI	Azure OpenAI endpoint URL (e.g., https://your-resource.openai.azure.com)
OLLAMA_ENDPOINT	Ollama	Ollama server endpoint (default: http://localhost:11434)
CUSTOM_ENDPOINT	Custom	Custom API endpoint URL
CUSTOM_KEY	Custom	Custom API key (optional, for endpoints requiring authentication)

Environment Variables (.env)

For local development, you can create environment files in your project root:

For CLI usage (.env):

# .env - Used when running aicommit
provider=anthropic
ANTHROPIC_KEY=sk-ant-...
model=claude-3-5-sonnet-20241022
max-length=80

For testing (.env.local):

# .env.local - Used when running npm test
OPENAI_KEY=sk-...
# or
provider=anthropic
ANTHROPIC_KEY=sk-ant-...

File usage:

• .env → Loaded when running aicommit (CLI usage)
• .env.local → Loaded when running npm test (local testing only)
• Both files are gitignored for security

Priority order (highest to lowest):

1. .ai-commit.json (project-specific)
2. CLI arguments
3. Environment variables (.env, .env.local, or shell)
4. Global config (~/.aicommit)

Note: See .env.example for all available options. Copy it to .env for CLI usage or .env.local for testing.

Project-Specific Configuration

You can add a .ai-commit.json file in the root of your project to provide additional context about your project to the AI and to override global configuration settings for the specific project.

Example with OpenAI:

{
  "projectPrompt": "This is a Node.js CLI tool that uses AI to generate meaningful git commit messages.",
  "model": "gpt-4o",
  "locale": "en",
  "max-length": "100",
  "temperature": "0.5"
}

Example with Anthropic:

{
  "provider": "anthropic",
  "ANTHROPIC_KEY": "sk-ant-...",
  "model": "claude-3-5-sonnet-20241022",
  "projectPrompt": "This is a TypeScript library for data validation.",
  "max-length": "80"
}

Example with Ollama:

{
  "provider": "ollama",
  "model": "codellama",
  "projectPrompt": "This is a Python web application using FastAPI.",
  "temperature": "0.3"
}

The .ai-commit.json file can contain any of the configuration options listed in the Options section. Values set in this file will take precedence over the global configuration.

The projectPrompt field should contain a brief description of your project, its purpose, and any other relevant information that would help the AI understand the context of your code changes.

Maintainers

Contributing

If you want to help fix a bug or implement a feature in Issues, checkout the Contribution Guide to learn how to setup and test the project.