# AnyTool ![Static Badge](https://img.shields.io/badge/anytool-blue) This is the implementation of the paper [AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls](https://arxiv.org/abs/2402.04253) ![Figure](https://media.discordapp.net/attachments/1202909094470492163/1202909161755648010/image.png?ex=65d865f5&is=65c5f0f5&hm=a399dda2c4b1c6caf17d3a0d29bc7dc9c504012ba7a4cc856283ce9dc9a3ebd5&=&format=webp&quality=lossless&width=781&height=601) # πŸ”§ Installation ## βœ… Dependencies Require Python 3.9+ ## πŸš€ Quick install ```bash pip install requirements.txt ``` # πŸ”† Data **ToolBench** Refer to [ToolBench](https://github.com/OpenBMB/ToolBench). **AnyToolBench** Generation script ``` python data_generation_by_gpt4.py ``` We provide sample data in anytoolbench.json file. # πŸš— Run AnyTool Fill your OpenAI config and toolbench key into the config.py. Run ToolBench ``` python anytool.py --output_dir result/test_instruction/G1_instruction --query_path data/test_instruction/G1_instruction.json --max_api_number 64 ``` Run AnyToolBench ``` python anytool.py --output_dir result/anytoolbench --query_path anytoolbench.json -max_api_number 64 ``` # πŸ‘¨β€πŸ« Acknowledgement This repo is built on [ToolBench](https://github.com/OpenBMB/ToolBench). # πŸ“‘Citation If you find this project is helpful for your research, consider citing our paper ``` @article{du2024anytool, title={AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls}, author={Du, Yu and Wei, Fangyun and Zhang, Hongyang}, journal={arXiv preprint arXiv:2402.04253}, year={2024} } ```