Conversational agent framework
AutoGen is used to create multi-agent conversations where AI agents collaborate, debate, and refine outputs through structured dialogue. It excels at code generation workflows where one agent writes code, another reviews it, and a third executes it, enabling complex problem-solving through agent interaction.
Install with `pip install pyautogen` and configure your OAI_CONFIG_LIST with model names and API keys. Create AssistantAgent and UserProxyAgent instances, then initiate a chat between them. Enable code execution by setting `code_execution_config` on the UserProxy agent with a Docker or local executor.
$ pip install pyautogen` and configure your OAI_CONFIG_LIST with model names and API keys Be the first to share a Microsoft AutoGen case study and get discovered by clients.
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