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An example with two chess player agents that executes its own tools to demonstrate tool use and reflection on tool use.
First, you need a shell with AutoGen core and required dependencies installed.
pip install "autogen-core==0.4.0.dev13" "autogen-ext[openai,azure]==0.4.0.dev13" "chess"
The model configuration should defined in a model_config.json file.
Use model_config_template.json as a template.
python main.py
This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.
Python SVG Jupyter Notebook C# TSX other