tabbbsy / autoagents

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

AutoAgents: The Automatic Agents Generation Framework

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

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.

🚀 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.
• Courier: Responsible for information exchange between agents and coordinating the execution order of multiple agents.
• 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

DEMO

Installation and Usage

Installation

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

# 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://<YOUR_SITE>/v1"	export OPENAI_API_BASE="https://<YOUR_SITE>/v1"

Usage

• Commandline mode:

python main.py --mode commandline --llm_api_key YOUR_OPENAI_API_KEY --serapi_key YOUR_SERPAPI_KEY --idea "Plan a tour for architectural photography in Barcelona"

• Websocket service mode:

python main.py --mode service --host "127.0.0.1" --port 9000

Docker

• Build docker image:

IMAGE="linksoul.ai/autoagents"
VERSION=1.0

docker build -f docker/Dockerfile -t "${IMAGE}:${VERSION}" .

• Start docker container:

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: [email protected], [email protected]
• GitHub Issues: For more technical inquiries, you can also create a new issue in our GitHub repository.

We will respond to all questions within 2-3 business days.

License

Apache-2.0 license

Wechat Group

Acknowledgements

This code base has borrowed several implementations from this link