Metadata-Version: 2.1 Name: autoagents Version: 0.1 Summary: The Automatic Agents Generation Framework Home-page: https://github.com/LinkSoul-AI/AutoAgents Author: Guangyao Chen Author-email: gy.chen@foxmail.com License: Apache 2.0 Keywords: autoagent multi-agent agent-generation gpt llm Requires-Python: >=3.9 Description-Content-Type: text/markdown License-File: LICENSE Requires-Dist: matplotlib==3.8.0 Requires-Dist: matplotlib-inline==0.1.6 Requires-Dist: abstract_singleton==1.0.1 Requires-Dist: aiofiles==23.2.1 Requires-Dist: aiohttp==3.8.4 Requires-Dist: aiosignal==1.3.1 Requires-Dist: altair==5.1.1 Requires-Dist: anthropic==0.3.6 Requires-Dist: anyio==3.7.1 Requires-Dist: appdirs==1.4.4 Requires-Dist: asgiref==3.7.2 Requires-Dist: asttokens==2.2.1 Requires-Dist: astunparse==1.6.3 Requires-Dist: async-generator==1.10 Requires-Dist: async-timeout==4.0.2 Requires-Dist: asynctest==0.13.0 Requires-Dist: attrs==23.1.0 Requires-Dist: auto_gpt_plugin_template==0.0.3 Requires-Dist: 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Requires-Dist: socksio==1.0.0 Requires-Dist: sortedcontainers==2.4.0 Requires-Dist: soupsieve==2.4.1 Requires-Dist: spacy==3.5.3 Requires-Dist: spacy-legacy==3.0.12 Requires-Dist: spacy-loggers==1.0.4 Requires-Dist: SQLAlchemy==2.0.15 Requires-Dist: sqlparse==0.4.4 Requires-Dist: srsly==2.4.6 Requires-Dist: stack-data==0.6.2 Requires-Dist: starlette==0.27.0 Requires-Dist: tenacity==8.2.2 Requires-Dist: termcolor==2.3.0 Requires-Dist: thinc==8.1.10 Requires-Dist: threadpoolctl==2.2.0 Requires-Dist: tiktoken==0.5.1 Requires-Dist: tokenizers==0.13.3 Requires-Dist: tomli==2.0.1 Requires-Dist: toolz==0.12.0 Requires-Dist: tqdm==4.64.1 Requires-Dist: traitlets==5.9.0 Requires-Dist: trio==0.22.0 Requires-Dist: trio-websocket==0.10.2 Requires-Dist: tweepy==4.14.0 Requires-Dist: typer==0.7.0 Requires-Dist: typing_extensions==4.5.0 Requires-Dist: typing-inspect==0.8.0 Requires-Dist: uritemplate==4.1.1 Requires-Dist: urllib3==1.26.15 Requires-Dist: urllib3-secure-extra==0.1.0 Requires-Dist: uvicorn==0.23.2 Requires-Dist: vcrpy==4.2.1 Requires-Dist: virtualenv==20.23.0 Requires-Dist: wandb==0.13.2 Requires-Dist: wasabi==1.1.1 Requires-Dist: watchdog==3.0.0 Requires-Dist: wcwidth==0.2.6 Requires-Dist: webdriver-manager==3.8.6 Requires-Dist: websocket-client==1.5.1 Requires-Dist: websockets==11.0.3 Requires-Dist: wheel==0.38.4 Requires-Dist: wrapt==1.15.0 Requires-Dist: wsproto==1.2.0 Requires-Dist: yarl==1.9.2 Requires-Dist: zipp==3.17.0 # AutoAgents: A Framework for Automatic Agent Generation

autoagents logo: A Framework for Automatic Agent Generation.

Generate different roles for GPTs to form a collaborative entity for complex tasks.

CN doc EN doc JA doc License: MIT

AutoAgents is an experimental open-source application for an Automatic Agents Generation Experiment based on LLM. This program, driven by LLM, autonomously generates multi-agents to achieve whatever goal you set.

## :boom: Updates - **2023.09.31**: 📝 We're excited to share our paper [AutoAgents: A Framework for Automatic Agent Generation](https://arxiv.org/abs/2309.17288) related to this repository.

The execution process of AutoAgents.

- **2023.08.30**: 🚀 Adding a custom agent collection, AgentBank, allows you to add custom agents. ## 🚀 Features - **Planner**: Determines the expert roles to be added and the specific execution plan according to the problem. - **Tools**: The set of tools that can be used, currently only compatible with the search tools. - **Observers**: Responsible for reflecting on whether the planner and the results in the execution process are reasonable, currently including reflection checks on Agents, Plan, and Action. - **Agents**: Expert role agents generated by the planner, including name, expertise, tools used, and LLM enhancement. - **Plan**: The execution plan is composed of the generated expert roles, each step of the execution plan has at least one expert role agent. - **Actions**: The specific actions of the expert roles in the execution plan, such as calling tools or outputting results. ## Demo Online demo: - [Demo / HuggingFace Spaces](https://huggingface.co/spaces/LinkSoul/AutoAgents) Video demo: - **Rumor Verification** - **Gluttonous Snake** ## Installation and Usage ### Installation ```bash git clone https://github.com/LinkSoul-AI/AutoAgents cd AutoAgents python setup.py install ``` ### Configuration - Configure your `OPENAI_API_KEY` in any of `config/key.yaml / config/config.yaml / env` - Priority order: `config/key.yaml > config/config.yaml > env` ```bash # Copy the configuration file and make the necessary modifications. cp config/config.yaml config/key.yaml ``` | Variable Name | config/key.yaml | env | | ------------------------------------------ | ----------------------------------------- | ----------------------------------------------- | | OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | | OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | ### Usage - Commandline mode: ```python python main.py --mode commandline --llm_api_key YOUR_OPENAI_API_KEY --serpapi_key YOUR_SERPAPI_KEY --idea "Is LK-99 really a room temperature superconducting material?" ``` - Websocket service mode: ```python python main.py --mode service --host "127.0.0.1" --port 9000 ``` ### Docker - Build docker image: ```bash IMAGE="linksoul.ai/autoagents" VERSION=1.0 docker build -f docker/Dockerfile -t "${IMAGE}:${VERSION}" . ``` - Start docker container: ```bash docker run -it --rm -p 7860:7860 "${IMAGE}:${VERSION}" ``` - Open http://127.0.0.1:7860 in the browser. ## Contact Information If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions! - **Email:** gy.chen@foxmail.com, ymshi@linksoul.ai - **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/LinkSoul-AI/AutoAgents/issues). We will respond to all questions within 2-3 business days. ## License [MIT license](https://raw.githubusercontent.com/LinkSoul-AI/AutoAgents/main/LICENSE) ## Citation If you find our work and this repository useful, please consider giving a star :star: and citation :beer:: ```bibtex @article{chen2023auto, title={AutoAgents: The Automatic Agents Generation Framework}, author={Chen, Guangyao and Dong, Siwei and Shu, Yu and Zhang, Ge and Jaward, Sesay and Börje, Karlsson and Fu, Jie and Shi, Yemin}, journal={arXiv preprint}, year={2023} } ``` ## Wechat Group Wechat Group ## Acknowledgements The [system](https://github.com/LinkSoul-AI/AutoAgents/tree/main/autoagents/system), [action_bank](https://github.com/LinkSoul-AI/AutoAgents/tree/main/autoagents/actions/action_bank) and [role_bank](https://github.com/LinkSoul-AI/AutoAgents/tree/main/autoagents/roles/role_bank) of this code base is built using [MetaGPT](https://github.com/geekan/MetaGPT) Icons in the framework made by Darius Dan, Freepik, kmg design, Flat Icons, Vectorslab from [FlatIcon](https://www.flaticon.com)