multi_agent.py

from autogen import ConversableAgent, AssistantAgent
from autogen.coding import LocalCommandLineCodeExecutor

#import os
#from IPython.display import Image

def run_multi_agent(llm, message):
    llm_config = {"model": llm}
    
    executor = LocalCommandLineCodeExecutor(
        timeout=60,
        work_dir="coding",
    )
    
    code_executor_agent = ConversableAgent(
        name="code_executor_agent",
        llm_config=False,
        code_execution_config={"executor": executor},
        human_input_mode="NEVER",
        default_auto_reply=
        "Please continue. If everything is done, reply 'TERMINATE'.",
    )
    
    code_writer_agent = AssistantAgent(
        name="code_writer_agent",
        llm_config=llm_config,
        code_execution_config=False,
        human_input_mode="NEVER",
    )
    
    code_writer_agent_system_message = code_writer_agent.system_message
    
    print(code_writer_agent_system_message)
    
    chat_result = code_executor_agent.initiate_chat(
        code_writer_agent,
        message=message,
    )
    
    #Image(os.path.join("coding", "ytd_stock_gains.png"))
    
    return chat_result