import base64, datetime, json, os from autogen import ConversableAgent, AssistantAgent from autogen.coding import LocalCommandLineCodeExecutor def read_file(file_path: str) -> str: with open(file_path, "r", encoding="utf-8") as file: return file.read() 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_image(image_data: str) -> str: return f"![Image](data:image/png;base64,{image_data})" def format_as_markdown(code: str) -> str: markdown_code = '```\n' markdown_code += code markdown_code += '\n```' return markdown_code def get_latest_file(directory, file_extension): latest_file = None latest_date = datetime.datetime.min for file in os.listdir(directory): if file: _, file_ext = os.path.splitext(file) if file_ext == file_extension: file_path = os.path.join(directory, file) file_date = datetime.datetime.fromtimestamp(os.path.getmtime(file_path)) if file_date > latest_date: latest_date = file_date latest_file = file return latest_file def run_multi_agent(llm, task): 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="TERMINATE", ) code_writer_agent = AssistantAgent( name="code_writer_agent", llm_config=llm_config, code_execution_config=False, human_input_mode="NEVER", ) chat_result = code_executor_agent.initiate_chat( code_writer_agent, message=task, max_turns=10 ) chat = "" first_message = True for message in chat_result.chat_history: if not first_message: chat += f"**{message['role'].replace('assistant', 'Code Executor').replace('user', 'Code Writer')}**\n{message['content']}\n\n" first_message = False file_name_png = get_latest_file("coding", ".png") image_data = read_image_file(f"/home/user/app/coding/{file_name_png}") markdown_code_png = generate_markdown_image(image_data) result = f"{markdown_code_png}\n\n{chat}" print("===") print(result) print("===") return result