by mangopy · Agent Tool · ★ 191
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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. 12.7 ] Our code was released, including main code for inference and supervised fine-tuning. [2024.5.26] The first version of our paper has been released in arxiv. See our paper in this link. Quick start for AutoTools We provide the following quick demo to learn about our project. The full demo is also provided in for a clear illustration. Build your own tool-augmented (func-augmented) LLMs python from basellm import FuncLLM llmconfig = { "modelnameorpath": "", # "basemodel": "gpt", # gpt or open-source llm "apikey": "", # API KEY to access the LLM (openai API for gpt; VLLM local API key for open-sour
| Stars | 191 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 42.2/100 |
| 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.
The top alternatives to AutoTools on Agent Skills Hub include ToolOrchestra, LLM-Tool-Survey, CoAgents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.