multi_agent.py

import base64

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

def read_image_file(image_file_path: str) -> str:
    with open(image_file_path, "rb") as image_file:
        image_data = image_file.read()
        return base64.b64encode(image_data).decode("utf-8")

def generate_markdown_code(image_data: str) -> str:
    return f"![Image](data:image/png;base64,{image_data})"

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'.",
    )

    print("### code_executor_agent.system_message = " + code_executor_agent.system_message)

    code_writer_agent = AssistantAgent(
        name="code_writer_agent",
        llm_config=llm_config,
        code_execution_config=False,
        human_input_mode="NEVER",
    )
    
    print("### code_writer_agent.system_message = " + code_writer_agent.system_message)
    
    chat_result = code_executor_agent.initiate_chat(
        code_writer_agent,
        message=message,
        max_turns=10
    )

    image_data = read_image_file("/home/user/app/coding/ytd_stock_gains.png")
    markdown_code = generate_markdown_code(image_data)

    print("### markdown_code = " + markdown_code)

    print("###")
    print(chat_result)
    print("###")
    
    return markdown_code