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A collection of tools for LLMs

Project description

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gofannon

gofannon is a collection of tools designed to enhance the capabilities of function-calling-enabled language models. These tools provide additional functionality for various tasks, including mathematical operations, GitHub interactions, arXiv searches, and advanced reasoning techniques.

Why the name gofanon ?

See why_the_name_gofannon.md for the rich story on why we chose to honor this Celtic Diety

Features

  • Basic Math Operations: Perform addition, subtraction, multiplication, division, and exponentiation.
  • GitHub Integration: Interact with GitHub repositories, including creating issues, committing files, and retrieving repository contents.
  • arXiv Search: Search for and retrieve articles from arXiv.
  • Advanced Reasoning: Utilize Chain-of-Thought (CoT) and Tree-of-Thought (ToT) reasoning techniques for complex problem-solving.
  • NHTSA Complaints: Retrieve vehicle complaint data from the National Highway Traffic Safety Administration (NHTSA).

Roadmap

For a detailed overview of planned features and their current status, please refer to the ROADMAP.

Documentation

Documentation can be found here.

Contributing

We welcome contributions from the community! If you'd like to add a new tool or improve an existing one, please check out our CONTRIBUTING guide for detailed instructions on how to get started.

Documentation

Each tool comes with its own documentation, which can be found in the docs/ directory. The documentation provides detailed information on how to use each tool, including required parameters and example usage.

Installation

To install gofannon, simply clone the repository and install the required dependencies:

git clone https://github.com/The-AI-Alliance/gofannon.git  
cd gofannon  
pip install -r requirements.txt

or

pip install git+https://github.com/The-AI-Alliance/gofannon.git

License

This project is licensed under the ASFv2 License. See the LICENSE file for more details.

Support

If you encounter any issues or have questions, please open an issue on our GitHub repository.

Acknowledgments

We would like to thank the open-source community for their contributions and support in making this project possible.

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