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Automatically generate a changelog using AI

Project description

GPTChangelog

Automatically generate detailed, well-structured changelogs from your git commit history using OpenAI's GPT models.

Features

  • 🤖 AI-powered changelog generation from git commit messages
  • 🔄 Automatic semantic versioning determination
  • 🏷️ Support for conventional commits
  • ✨ Beautiful formatting with Markdown
  • 🧠 Smart categorization of changes
  • 🖋️ Interactive editing mode
  • 📋 Customizable templates
  • 🛠️ Project-specific or global configuration
  • 🗂️ Run against any repo path with a single command (--repo)
  • 🖥️ Optional Textual TUI for exploring results (--ui textual)

Installation

Install from PyPI with your preferred toolchain:

pip install gptchangelog

Or run it directly with uv:

uv tool run gptchangelog --help

Or use uvx for an ephemeral execution without pre-installing the tool:

uvx gptchangelog --help

Quick Start

Using pip or a virtual environment

  1. Initialize the configuration (only needed once):
gptchangelog config init
  1. Generate a changelog from your latest tag:
gptchangelog generate

The tool will:

  • Fetch commit messages since your latest tag
  • Process and categorize them using OpenAI
  • Determine the next version number based on semantic versioning
  • Generate a well-structured changelog
  • Prepend it to your CHANGELOG.md file

Using uv (no manual virtualenv required)

uv tool run gptchangelog config init
uv tool run gptchangelog generate

# or, for one-off runs, use uvx
uvx gptchangelog config init
uvx gptchangelog generate

Command Line Usage

gptchangelog generate [OPTIONS]

Options

  • --since <ref>: Starting point (commit hash, tag, or reference)
  • --to <ref>: Ending point (commit hash, tag, or reference, defaults to HEAD)
  • --repo <path>: Run against a different git repository without changing directories
  • --output <file>, -o <file>: Output file (defaults to CHANGELOG.md)
  • --current-version <version>: Override the current version
  • --dry-run: Generate changelog but don't save it
  • --interactive, -i: Review and edit before saving
  • --ui {auto,textual,plain}: Choose between the Textual TUI and plain console output (default: auto)

Examples

Generate changelog since the latest tag:

gptchangelog generate

Generate changelog between two specific tags:

gptchangelog generate --since v1.0.0 --to v2.0.0

Generate changelog with interactive editing:

gptchangelog generate -i

Run against another repository without leaving your current directory:

gptchangelog generate --repo ../another-project

Add commit statistics and quality checks to the output:

gptchangelog generate --stats --quality-analysis

Launch the Textual TUI review experience:

gptchangelog generate --ui textual

With uv you can mirror the same commands by replacing gptchangelog with uv tool run gptchangelog, for example:

uv tool run gptchangelog generate --repo ../another-project --stats --quality-analysis

# or run ad-hoc with uvx
uvx gptchangelog generate --repo ../another-project --stats --quality-analysis

Configuration

GPTChangelog supports both global and project-specific configuration:

  • Global: Stored in ~/.config/gptchangelog/config.ini
  • Project: Stored in ./.gptchangelog/config.ini

Managing Configuration

Show current configuration:

gptchangelog config show

Initialize configuration:

gptchangelog config init

Configuration Options

  • api_key: Your OpenAI API key
  • model: The OpenAI model to use (default: gpt-5-mini)
  • max_context_tokens: Maximum tokens to use in each API call (default: 200000)

Integrating with CI/CD

You can integrate GPTChangelog into your CI/CD pipeline to automatically generate changelogs for new releases:

# Example GitHub Actions workflow
name: Generate Changelog

on:
  push:
    tags:
      - 'v*'

jobs:
  changelog:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
        with:
          fetch-depth: 0  # Important to fetch all history

      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install gptchangelog

      - name: Generate changelog
        run: |
          echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" > .env
          gptchangelog generate --since $(git describe --tags --abbrev=0 --match "v*" HEAD^) --to ${{ github.ref_name }} --ui plain

Working from Source

To develop GPTChangelog locally, use uv to manage dependencies:

git clone https://github.com/xjodoin/gptchangelog.git
cd gptchangelog
uv sync --dev --extra docs --extra release
uv run gptchangelog config init  # optional: seeds local config
uv run gptchangelog generate --dry-run

uv sync creates a managed virtual environment with the editable package and all tooling needed for docs, testing, and releases. uv run ... executes commands inside that environment, so there is no need to activate the virtualenv manually.

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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