This tool converts Git repositories into a structured text format suitable for Large Language Models (LLMs), enabling tasks like code review and documentation generation. It's primarily designed for developers and researchers working with AI models and codebases.

How It Works

The command-line tool traverses a specified Git repository, preserving file structure and content. It outputs a single text file that LLMs can easily parse, facilitating AI-driven analysis of code repositories.

Quick Start & Requirements

• Install/Run: python gpt_repository_loader.py /path/to/git/repository
• Prerequisites: Python 3.
• Optional arguments: -p /path/to/preamble.txt for a preamble file, -o /path/to/output_file.txt for a custom output file. Default output is output.txt.
• More info: https://github.com/mpoon/gpt-repository-loader

Highlighted Details

• Primarily built by GPT-4.
• Preserves repository structure and file contents.
• Generates LLM-friendly text output.
• Includes a test harness (python -m unittest test_gpt_repository_loader.py).

Maintenance & Community

The project welcomes issues and pull requests, with an emphasis on its GPT-assisted development.

Licensing & Compatibility

Licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The tool's effectiveness is dependent on the LLM's ability to interpret the generated text format. No specific performance benchmarks or limitations on repository size are mentioned.