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EmbodiedAgent

class EmbodiedAgent(ChatAgent):
Class for managing conversations of CAMEL Embodied Agents. Parameters:
  • system_message (BaseMessage): The system message for the chat agent.
  • model (BaseModelBackend, optional): The model backend to use for generating responses. (default: :obj:OpenAIModel with GPT_4O_MINI)
  • message_window_size (int, optional): The maximum number of previous messages to include in the context window. If None, no windowing is performed. (default: :obj:None)
  • tool_agents (List[BaseToolAgent], optional): The tools agents to use in the embodied agent. (default: :obj:None)
  • code_interpreter (BaseInterpreter, optional): The code interpreter to execute codes. If code_interpreter and tool_agent are both None, default to SubProcessInterpreter. If code_interpreter is None and tool_agents is not None, default to InternalPythonInterpreter. (default: :obj:None)
  • verbose (bool, optional): Whether to print the critic’s messages.
  • logger_color (Any): The color of the logger displayed to the user. (default: :obj:Fore.MAGENTA)

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init

def __init__(
    self,
    system_message: BaseMessage,
    model: Optional[BaseModelBackend] = None,
    message_window_size: Optional[int] = None,
    tool_agents: Optional[List[BaseToolAgent]] = None,
    code_interpreter: Optional[BaseInterpreter] = None,
    verbose: bool = False,
    logger_color: Any = Fore.MAGENTA
):

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_set_tool_agents

def _set_tool_agents(self, system_message: BaseMessage):

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_get_tool_agents_prompt

def _get_tool_agents_prompt(self):
Returns: str: The action space prompt.

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get_tool_agent_names

def get_tool_agent_names(self):
Returns: List[str]: The names of tool agents.

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step

def step(self, input_message: BaseMessage):
Performs a step in the conversation. Parameters:
  • input_message (BaseMessage): The input message.
Returns: ChatAgentResponse: A struct containing the output messages, a boolean indicating whether the chat session has terminated, and information about the chat session.