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
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)
:
- 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:
- 在
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!
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