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A library of ready-to-use LLM components

Project description

LLM Components

Overview

llm-components is a Python library designed to feed large language models with data from different sources. The library formats content in a structured markdown format.

The first data source implemented is a code base (a folder containing a gitignore file).

Features

  • Traverse a directory tree while respecting .gitignore rules.
  • Format the directory structure and file contents into a readable markdown format.
  • Command-line interface for easy usage.

Installation

To install the llm-components library, you can use pip:

pip install llm-components

Usage

Command-Line Interface

You can use the command-line interface to map a code base to markdown. The CLI takes the root directory of the code base as an argument.

format-codebase <root_dir>

Example

format-codebase /path/to/your/code/base

This will output the directory structure and file contents in a structured markdown format.

Programmatic Usage

You can also use the library programmatically by importing the necessary functions.

from pathlib import Path
from llm_components.loaders import map_codebase_to_text

root_dir = Path("/path/to/your/code/base")
result = map_codebase_to_text(root_dir)
print(result)

License

This project is licensed under the MIT License.

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