analyze-folder-for-llm 0.1.0

A tool for analyzing folder structures and content for use with large context on LLMs

Analyze Folder for LLM

Analyze Folder for LLM is a Python library designed to collect text and code from a folder for use as context with large context Language Models (LLMs). This tool efficiently fetches README files, folder structures, and non-binary file contents, providing structured outputs complete with pre-formatted prompts to guide further analysis of the folder's content.

Installation

You can install Analyze Folder for LLM using pip:

pip install analyze-folder-for-llm

Usage

After installation, you can use the folder_to_llm command-line tool:

folder_to_llm --path "~/your_project_folder"

This will analyze the specified folder and generate output files in an output directory within the analyzed folder.

For more options:

folder_to_llm --help

You can also use it in your Python scripts:

from analyze_folder_for_llm import folder_to_llm

result = folder_to_llm("~/your_project_folder")
print(result)

Features

• Analyze folder structures
• Extract README contents
• Collect non-binary file contents
• Generate structured output for LLM consumption
• Customizable preset configurations
• Rich console output for easy readability

Output

The tool generates two main output files in the output directory of the analyzed folder:

1. folder_contents_for_llm.txt: Contains the contents of all non-binary files in the analyzed folder.
2. folder_analysis_for_llm.json: Contains a structured analysis of the folder, including file structure, README summary, and analysis prompts.

Contributing

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

License

This project is licensed under the MIT License. See the LICENSE file for details.