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.
- 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.
git clone https://github.com/LinkSoul-AI/AutoAgents
cd autoagents
python setup.py install- Configure your
OPENAI_API_KEYin any ofconfig/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" |
- 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- 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.
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.
We will respond to all questions within 2-3 business days.
This code base has borrowed several implementations from this link