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CLI tool to scaffold production-ready Generative AI projects

Project description

genai-scaffold

genai-scaffold is a Python CLI tool that bootstraps production-ready Generative AI project structures with best practices and modular organization out-of-the-box.

PyPI License


โœจ Features

  • ๐Ÿ”ง Clean and extensible project structure.
  • ๐Ÿง  Support for LLM clients (GPT, Claude, etc.)
  • ๐Ÿงฑ Prompt engineering modules scaffolded
  • ๐Ÿ“ฆ Auto-generates config, data, notebooks, and examples
  • ๐Ÿ Ready for unit testing and CI/CD integration
  • โšก Fast to get started, easy to extend

๐Ÿ“ฆ Installation

You can install it via PyPI:

pip install genai-scaffold

Or using pipx:

pipx install genai-scaffold

๐Ÿš€ Usage

To scaffold a new Generative AI project:

genai-scaffold myproject

This creates:

myproject/
โ”œโ”€โ”€ config/
โ”œโ”€โ”€ src/
โ”‚   โ”œโ”€โ”€ llm/
โ”‚   โ”œโ”€โ”€ prompt_engineering/
โ”‚   โ”œโ”€โ”€ utils/
โ”‚   โ””โ”€โ”€ handlers/
โ”œโ”€โ”€ data/
โ”‚   โ”œโ”€โ”€ cache/
โ”‚   โ”œโ”€โ”€ prompts/
โ”‚   โ”œโ”€โ”€ outputs/
โ”‚   โ””โ”€โ”€ embeddings/
โ”œโ”€โ”€ examples/
โ”œโ”€โ”€ notebooks/
โ”œโ”€โ”€ requirements.txt
โ”œโ”€โ”€ setup.py
โ”œโ”€โ”€ Dockerfile
โ””โ”€โ”€ README.md

๐Ÿงฐ Project Structure

Your scaffolded project includes:

  • src/llm/: LLM client implementations (e.g. GPT, Claude)
  • src/prompt_engineering/: Prompt templates and chaining
  • src/utils/: Rate limiting, caching, logging, token counting
  • config/: YAML config for models, prompts, logging
  • data/: Inputs, outputs, embeddings, cache
  • examples/: Working usage examples
  • notebooks/: Jupyter notebooks for prototyping

๐Ÿ”„ Updating Your Scaffold Tool

To update:

pip install --upgrade genai-scaffold

๐Ÿ›  Roadmap

  • Interactive CLI with typer
  • LangChain/LlamaIndex integration options
  • Built-in Streamlit UI
  • Prompt chaining module
  • Test coverage + GitHub Actions

๐Ÿค Contributing

Pull requests are welcome! For major changes, open an issue first to discuss what youโ€™d like to change.


๐Ÿ“„ License

This project is licensed under the MIT License.


๐Ÿ™Œ Acknowledgements

Inspired by real-world GenAI use cases in enterprise environments. Built for speed, clarity, and collaboration.

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