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LLM agent workflows

Project description

🇨🇳中文 | 🌐English | 📖文档/Docs | 🤖模型/Models


ActionFlow: A Human-Centric Framework for Large Language Model Agent Workflows

PyPI version Downloads Contributions welcome License Apache 2.0 python_version GitHub issues Wechat Group

actionflow: A Human-Centric Framework for Large Language Model Agent Workflows

Guide

Features

文本xxx

  • xxx

Demo

Demo: https://huggingface.co/spaces/shibing624/actionflow

Install

pip install torch # conda install pytorch
pip install -U actionflow

or

git clone https://github.com/shibing624/actionflow.git
cd actionflow
pip install -e .

Usage

1. 文本摘要


命令行模式(CLI)

  • 支持批量获取文本摘要

code: cli.py

> actionflow -h                                    

NAME
    actionflow

SYNOPSIS
    actionflow COMMAND

run:

pip install actionflow -U
actionflow -h

Contact

  • Issue(建议) :GitHub issues
  • 邮件我:xuming: xuming624@qq.com
  • 微信我: 加我微信号:xuming624, 备注:姓名-公司-NLP 进NLP交流群。

Citation

如果你在研究中使用了actionflow,请按如下格式引用:

APA:

Xu, M. actionflow: A Human-Centric Framework for Large Language Model Agent Workflows (Version 1.0.1) [Computer software]. https://github.com/shibing624/actionflow

BibTeX:

@misc{Xu_actionflow,
  title={actionflow: A Human-Centric Framework for Large Language Model Agent Workflows},
  author={Xu Ming},
  year={2024},
  howpublished={\url{https://github.com/shibing624/actionflow}},
}

License

授权协议为 The Apache License 2.0,可免费用做商业用途。请在产品说明中附加actionflow的链接和授权协议。

Contribute

项目代码还很粗糙,如果大家对代码有所改进,欢迎提交回本项目,在提交之前,注意以下两点:

  • tests添加相应的单元测试
  • 使用python -m pytest来运行所有单元测试,确保所有单测都是通过的

之后即可提交PR。

Acknowledgements

Thanks for their great work!

Project details


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