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.
You can install Analyze Folder for LLM using pip:
pip install analyze-folder-for-llm
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)
- 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
The tool generates two main output files in the output
directory of the analyzed folder:
folder_contents_for_llm.txt
: Contains the contents of all non-binary files in the analyzed folder.folder_analysis_for_llm.json
: Contains a structured analysis of the folder, including file structure, README summary, and analysis prompts.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License. See the LICENSE file for details.