A collection of tools for LLMs
Project description
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/your-repo/gofannon.git
cd gofannon
pip install -r requirements.txt
or
pip install git+https://github.com/your-repo/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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