Update multi_agent.py
Browse files- multi_agent.py +14 -59
multi_agent.py
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from autogen import ConversableAgent, AssistantAgent
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from autogen.coding import LocalCommandLineCodeExecutor
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import base64, markdown, os
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#from IPython.display import Image
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def read_image_file(image_file_path: str) -> str:
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"""
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Read a PNG image file from the local filesystem and encode it as a base64 string.
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Args:
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image_file_path (str): The local file path of the image.
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Returns:
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str: The base64-encoded image data.
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"""
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with open(image_file_path, "rb") as image_file:
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image_data = image_file.read()
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return base64.b64encode(image_data).decode("utf-8")
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def generate_markdown_code(image_data: str) -> str:
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"""
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Generate the markdown code to render an image.
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Args:
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image_data (str): The base64-encoded image data.
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Returns:
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str: The markdown code to render the image.
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"""
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return f""
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def run_multi_agent(llm, message):
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timeout=60,
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work_dir="coding",
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)
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code_executor_agent = ConversableAgent(
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name="code_executor_agent",
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llm_config=False,
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code_execution_config={"executor": executor},
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human_input_mode="NEVER",
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default_auto_reply=
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"Please continue. If everything is done, reply 'TERMINATE'.",
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)
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code_writer_agent = AssistantAgent(
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name="code_writer_agent",
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llm_config=llm_config,
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human_input_mode="NEVER",
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)
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print(code_writer_agent_system_message)
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chat_result = code_executor_agent.initiate_chat(
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code_writer_agent,
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max_turns=10
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)
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###
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#for root, dirs, files in os.walk("."):
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# for file in files:
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# print(os.path.join(root, file))
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###
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#png_file = os.path.join("coding", "ytd_stock_gains.png")
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#print("### "+png_file)
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#current_folder = os.getcwd()
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#files_in_folder = os.listdir(current_folder)
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#print(f"Files in {current_folder}:")
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#for file in files_in_folder:
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# print(file)
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#image_path = "/home/user/app/coding/ytd_stock_gains.png"
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#image_path_2 = "/coding/ytd_stock_gains.png"
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#image_path_5 = "coding/ytd_stock_gains.png"
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#image_path_3 = "/app/coding/ytd_stock_gains.png"
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#image_path_4 = "/user/app/coding/ytd_stock_gains.png"
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image_data = read_image_file("/home/user/app/coding/ytd_stock_gains.png")
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markdown_code = generate_markdown_code(image_data)
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#image_path = os.path.join('coding', 'ytd_stock_gains.png')
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#image_markdown = f""
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import base64
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from autogen import ConversableAgent, AssistantAgent
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from autogen.coding import LocalCommandLineCodeExecutor
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def read_image_file(image_file_path: str) -> str:
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with open(image_file_path, "rb") as image_file:
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image_data = image_file.read()
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return base64.b64encode(image_data).decode("utf-8")
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def generate_markdown_code(image_data: str) -> str:
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return f""
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def run_multi_agent(llm, message):
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timeout=60,
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work_dir="coding",
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)
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code_executor_agent = ConversableAgent(
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name="code_executor_agent",
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llm_config=False,
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code_execution_config={"executor": executor},
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human_input_mode="NEVER",
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default_auto_reply="Please continue. If everything is done, reply 'TERMINATE'.",
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)
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print("### code_executor_agent.system_message = " + code_executor_agent.system_message)
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code_writer_agent = AssistantAgent(
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name="code_writer_agent",
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llm_config=llm_config,
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human_input_mode="NEVER",
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)
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print("### code_writer_agent.system_message = " + code_writer_agent.system_message)
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chat_result = code_executor_agent.initiate_chat(
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code_writer_agent,
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max_turns=10
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)
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image_data = read_image_file("/home/user/app/coding/ytd_stock_gains.png")
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markdown_code = generate_markdown_code(image_data)
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print("### markdown_code = " + markdown_code)
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print("###")
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print(chat_result)
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print("###")
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return markdown_code
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