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🌟 CartAI 🌟

Build Status

📝 Description

Crafting intelligent E2E documentation for trustworthy AI.

📂 Codebase Structure

📁 /
  📄 .env.example
  📄 .pre-commit-config.yaml
  📄 .python-version
  📁 cartai/
    📄 __init__.py
    📁 adapters/
    📁 cli/
      📄 main.py
    📁 core/
      📄 __init__.py
      📄 code_parser.py
    📁 lineage/
    📁 llm_agents/
      📄 __init__.py
      📄 documenter.py
      📁 templates/
        📄 readme.jinja
      📄 utils.py
  📄 LICENSE
  📁 llm_agents/
    📁 templates/
  📄 Makefile
  📄 pyproject.toml
  📄 uv.lock

⚙️ Installation

To get started with the CartAI project, follow these instructions to set up your environment:

  1. Clone the repository:

    git clone https://www.github.com/ContrastoAI/cartai
    cd cartai
  2. Ensure you have uv and pre-commit installed. You can check their installation with:

    make .uv
    make .pre-commit
  3. Install all dependencies and set up your environment:

    make install-all

💻 Usage

You can run the project using the provided Makefile commands. For example, to generate the README documentation, you can use:

make run_readme

This command will execute the documentation generation process with the description "Crafting intelligent E2E documentation for trustworthy AI." and output it to README_new.md.

Other Makefile Commands

  • Format code:

    make format
  • Lint code:

    make lint
  • Run tests:

    make test
  • Run pre-commit hooks:

    make pre-commit

🚀 Deployment

To deploy the project, follow the standard deployment procedures for your environment. Ensure all dependencies are installed, and run the necessary commands as needed.

🤝 Contributing

We welcome contributions! Here's how you can contribute:

  1. Fork the repository 🍴
  2. Create your feature branch:
    git checkout -b feature/YourFeature
  3. Commit your changes:
    git commit -m 'Add YourFeature'
  4. Push to the branch:
    git push origin feature/YourFeature
  5. Open a pull request 📬

Please follow the coding guidelines and check the Makefile or contributing docs if available.

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  • Python 92.6%
  • Makefile 4.1%
  • Jinja 3.3%