llmfuncs 0.1.1

Dynamically generate JSON Schema from Python code.

llmfuncs

llmfuncs is a Python package that programmatically extracts function definitions and converts them to a JSON schema format that can be used with OpenAI's language models.

Installation

You can install the package via pip:

pip install llmfuncs

Usage

Import the main function schema_from_module from llmfuncs and pass in a module:

from llmfuncs import schema
import your_module

schema = schema.from_module(your_module)

NOTE: If your function parameters don't have type hints, they will be ignored!

The returned schema will be a list of JSON schema representations of the functions in the given module.

Creating New Tools

If you have an existing module that you want to work with llmfuncs, you can try passing it through an LLM to generate the type hints and docstrings for any functions missing them. For example:

Please update this module to add type hints to all function parameters and Google style docstrings to each function.

Features

• Extracts function name, description (from docstring), parameters, and their types
• Includes default values for parameters in the description
• Supports functions with arguments that have type hints
• Converts Python types to corresponding JSON schema types

Contributing

To contribute to llmfuncs, fork the repository and submit a Pull Request!

License

MIT