by mangopy · Agent Tool · ★ 191
AutoTools 🔧This project (AutoTools) aims to introduce an automatic framework to enable the large language models (LLMs) as autonomous agents. By integrating the AutoTools, the LLM automatically transforms tool documentation into callable functions, verify syntax and runtime correctness, and flexibly compose these functions into executable programs to solve practical tasks. News [2025.1.20] The second version of our paper has been accepted by the THE WEB CONFERENCE 2025 (WWW2025) 🎉🎉🎉. See our paper for more details. [2024.
| Stars | 191 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.1961597433815/100 |
| Open Issues | 2 |
| Last Updated | 2025-04-08 |
| Created | 2024-12-06 |
| Platforms | python |
| Est. Tokens | ~547k |
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AutoTools is Official Repo for WWW 2025 paper "Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents". It is categorized as a Agent Tool with 191 GitHub stars.
AutoTools is primarily written in Python. It covers topics such as agent, large-language-models.
You can find installation instructions and usage details in the AutoTools GitHub repository at github.com/mangopy/AutoTools. The project has 191 stars and 2 forks, indicating an active community.
AutoTools is released under the Apache-2.0 license, making it free to use and modify according to the license terms.