agentchat.user_proxy_agent

UserProxyAgent

class UserProxyAgent(ConversableAgent)

(In preview) A proxy agent for the user, that can execute code and provide feedback to the other agents.

UserProxyAgent is a subclass of ConversableAgent configured with human_input_mode to ALWAYS and llm_config to False. By default, the agent will prompt for human input every time a message is received. Code execution is enabled by default. LLM-based auto reply is disabled by default. To modify auto reply, register a method with register_reply. To modify the way to get human input, override get_human_input method. To modify the way to execute code blocks, single code block, or function call, override execute_code_blocks, run_code, and execute_function methods respectively.

__init__

def __init__(name: str,
             is_termination_msg: Optional[Callable[[Dict], bool]] = None,
             max_consecutive_auto_reply: Optional[int] = None,
             human_input_mode: Literal["ALWAYS", "TERMINATE",
                                       "NEVER"] = "ALWAYS",
             function_map: Optional[Dict[str, Callable]] = None,
             code_execution_config: Union[Dict, Literal[False]] = {},
             default_auto_reply: Optional[Union[str, Dict, None]] = "",
             llm_config: Optional[Union[Dict, Literal[False]]] = False,
             system_message: Optional[Union[str, List]] = "",
             description: Optional[str] = None)

Arguments:

• name str - name of the agent.
• is_termination_msg function - a function that takes a message in the form of a dictionary and returns a boolean value indicating if this received message is a termination message. The dict can contain the following keys: "content", "role", "name", "function_call".
• max_consecutive_auto_reply int - the maximum number of consecutive auto replies. default to None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case). The limit only plays a role when human_input_mode is not "ALWAYS".
• human_input_mode str - whether to ask for human inputs every time a message is received. Possible values are "ALWAYS", "TERMINATE", "NEVER". (1) When "ALWAYS", the agent prompts for human input every time a message is received. Under this mode, the conversation stops when the human input is "exit", or when is_termination_msg is True and there is no human input. (2) When "TERMINATE", the agent only prompts for human input only when a termination message is received or the number of auto reply reaches the max_consecutive_auto_reply. (3) When "NEVER", the agent will never prompt for human input. Under this mode, the conversation stops when the number of auto reply reaches the max_consecutive_auto_reply or when is_termination_msg is True.
• function_map dict[str, callable] - Mapping function names (passed to openai) to callable functions.
• code_execution_config dict or False - config for the code execution. To disable code execution, set to False. Otherwise, set to a dictionary with the following keys:
  • work_dir (Optional, str): The working directory for the code execution. If None, a default working directory will be used. The default working directory is the "extensions" directory under "path_to_autogen".
  • use_docker (Optional, list, str or bool): The docker image to use for code execution. Default is True, which means the code will be executed in a docker container. A default list of images will be used. If a list or a str of image name(s) is provided, the code will be executed in a docker container with the first image successfully pulled. If False, the code will be executed in the current environment. We strongly recommend using docker for code execution.
  • timeout (Optional, int): The maximum execution time in seconds.
  • last_n_messages (Experimental, Optional, int): The number of messages to look back for code execution. Default to 1.
• default_auto_reply str or dict or None - the default auto reply message when no code execution or llm based reply is generated.
• llm_config dict or False or None - llm inference configuration. Please refer to OpenAIWrapper.create for available options. Default to False, which disables llm-based auto reply. When set to None, will use self.DEFAULT_CONFIG, which defaults to False.
• system_message str or List - system message for ChatCompletion inference. Only used when llm_config is not False. Use it to reprogram the agent.
• description str - a short description of the agent. This description is used by other agents (e.g. the GroupChatManager) to decide when to call upon this agent. (Default: system_message)