autogen-core

import os import asyncio from autogen.agentchat import ConversableAgent # Configure LLM (e.g., OpenAI API Key) # For a runnable example, ensure OPENAI_API_KEY is set in your environment llm_config = { "config_list": [ { "model": "gpt-4o-mini", # Or "gpt-4", "gpt-3.5-turbo" "api_key": os.environ.get("OPENAI_API_KEY", "") } ], "temperature": 0.7 } # Create two agents agent_a = ConversableAgent( name="AgentA", system_message="You are a helpful AI assistant. You can chat and respond to queries.", llm_config=llm_config, is_termination_msg=lambda msg: "terminate" in msg["content"].lower(), human_input_mode="NEVER", max_consecutive_auto_reply=3 ) agent_b = ConversableAgent( name="AgentB", system_message="You are an expert in explaining complex concepts clearly.", llm_config=llm_config, is_termination_msg=lambda msg: "terminate" in msg["content"].lower(), human_input_mode="NEVER", max_consecutive_auto_reply=3 ) async def run_chat(): print("\n--- Initiating chat between AgentA and AgentB ---") chat_result = await agent_a.initiate_chat( agent_b, message="Explain the concept of quantum entanglement in simple terms." ) print("\n--- Chat Summary ---") # print(chat_result.chat_history) # Uncomment to see full history if __name__ == "__main__": # Ensure the API key is present for the example to work if not os.environ.get("OPENAI_API_KEY"): print("Warning: OPENAI_API_KEY environment variable not set. LLM calls may fail or raise errors.") print("Please set it for the quickstart to fully function.") asyncio.run(run_chat())