aphilippov/python-server-api
0
1from typing import Callable, Dict, List, Literal, Optional, Union2 3from .conversable_agent import ConversableAgent4 5 6class UserProxyAgent(ConversableAgent):7 """(In preview) A proxy agent for the user, that can execute code and provide feedback to the other agents.8 9 UserProxyAgent is a subclass of ConversableAgent configured with `human_input_mode` to ALWAYS10 and `llm_config` to False. By default, the agent will prompt for human input every time a message is received.11 Code execution is enabled by default. LLM-based auto reply is disabled by default.12 To modify auto reply, register a method with [`register_reply`](conversable_agent#register_reply).13 To modify the way to get human input, override `get_human_input` method.14 To modify the way to execute code blocks, single code block, or function call, override `execute_code_blocks`,15 `run_code`, and `execute_function` methods respectively.16 To customize the initial message when a conversation starts, override `generate_init_message` method.17 """18 19 # Default UserProxyAgent.description values, based on human_input_mode20 DEFAULT_USER_PROXY_AGENT_DESCRIPTIONS = {21 "ALWAYS": "An attentive HUMAN user who can answer questions about the task, and can perform tasks such as running Python code or inputting command line commands at a Linux terminal and reporting back the execution results.",22 "TERMINATE": "A user that can run Python code or input command line commands at a Linux terminal and report back the execution results.",23 "NEVER": "A user that can run Python code or input command line commands at a Linux terminal and report back the execution results.",24 }25 26 def __init__(27 self,28 name: str,29 is_termination_msg: Optional[Callable[[Dict], bool]] = None,30 max_consecutive_auto_reply: Optional[int] = None,31 human_input_mode: Optional[str] = "ALWAYS",32 function_map: Optional[Dict[str, Callable]] = None,33 code_execution_config: Optional[Union[Dict, Literal[False]]] = None,34 default_auto_reply: Optional[Union[str, Dict, None]] = "",35 llm_config: Optional[Union[Dict, Literal[False]]] = False,36 system_message: Optional[Union[str, List]] = "",37 description: Optional[str] = None,38 ):39 """40 Args:41 name (str): name of the agent.42 is_termination_msg (function): a function that takes a message in the form of a dictionary43 and returns a boolean value indicating if this received message is a termination message.44 The dict can contain the following keys: "content", "role", "name", "function_call".45 max_consecutive_auto_reply (int): the maximum number of consecutive auto replies.46 default to None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case).47 The limit only plays a role when human_input_mode is not "ALWAYS".48 human_input_mode (str): whether to ask for human inputs every time a message is received.49 Possible values are "ALWAYS", "TERMINATE", "NEVER".50 (1) When "ALWAYS", the agent prompts for human input every time a message is received.51 Under this mode, the conversation stops when the human input is "exit",52 or when is_termination_msg is True and there is no human input.53 (2) When "TERMINATE", the agent only prompts for human input only when a termination message is received or54 the number of auto reply reaches the max_consecutive_auto_reply.55 (3) When "NEVER", the agent will never prompt for human input. Under this mode, the conversation stops56 when the number of auto reply reaches the max_consecutive_auto_reply or when is_termination_msg is True.57 function_map (dict[str, callable]): Mapping function names (passed to openai) to callable functions.58 code_execution_config (dict or False): config for the code execution.59 To disable code execution, set to False. Otherwise, set to a dictionary with the following keys:60 - work_dir (Optional, str): The working directory for the code execution.61 If None, a default working directory will be used.62 The default working directory is the "extensions" directory under63 "path_to_autogen".64 - use_docker (Optional, list, str or bool): The docker image to use for code execution.65 If a list or a str of image name(s) is provided, the code will be executed in a docker container66 with the first image successfully pulled.67 If None, False or empty, the code will be executed in the current environment.68 Default is True, which will be converted into a list.69 If the code is executed in the current environment,70 the code must be trusted.71 - timeout (Optional, int): The maximum execution time in seconds.72 - last_n_messages (Experimental, Optional, int): The number of messages to look back for code execution. Default to 1.73 default_auto_reply (str or dict or None): the default auto reply message when no code execution or llm based reply is generated.74 llm_config (dict or False): llm inference configuration.75 Please refer to [OpenAIWrapper.create](/docs/reference/oai/client#create)76 for available options.77 Default to false, which disables llm-based auto reply.78 system_message (str or List): system message for ChatCompletion inference.79 Only used when llm_config is not False. Use it to reprogram the agent.80 description (str): a short description of the agent. This description is used by other agents81 (e.g. the GroupChatManager) to decide when to call upon this agent. (Default: system_message)82 """83 super().__init__(84 name=name,85 system_message=system_message,86 is_termination_msg=is_termination_msg,87 max_consecutive_auto_reply=max_consecutive_auto_reply,88 human_input_mode=human_input_mode,89 function_map=function_map,90 code_execution_config=code_execution_config,91 llm_config=llm_config,92 default_auto_reply=default_auto_reply,93 description=description94 if description is not None95 else self.DEFAULT_USER_PROXY_AGENT_DESCRIPTIONS[human_input_mode],96 )97 