Camel.agents.task agent

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TaskSpecifyAgent

class TaskSpecifyAgent(ChatAgent):

• model (BaseModelBackend, optional): The model backend to use for generating responses. (default: :obj:OpenAIModel with GPT_4O_MINI)
• task_type (TaskType, optional): The type of task for which to generate a prompt. (default: :obj:TaskType.AI_SOCIETY)
• task_specify_prompt (Union[str, TextPrompt], optional): The prompt for specifying the task. (default: :obj:None)
• word_limit (int, optional): The word limit for the task prompt. (default: :obj:50)
• output_language (str, optional): The language to be output by the agent. (default: :obj:None)

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init

def __init__(
    self,
    model: Optional[BaseModelBackend] = None,
    task_type: TaskType = TaskType.AI_SOCIETY,
    task_specify_prompt: Optional[Union[str, TextPrompt]] = None,
    word_limit: int = DEFAULT_WORD_LIMIT,
    output_language: Optional[str] = None
):

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run

def run(
    self,
    task_prompt: Union[str, TextPrompt],
    meta_dict: Optional[Dict[str, Any]] = None
):

• task_prompt (Union[str, TextPrompt]): The original task prompt.
• meta_dict (Dict[str, Any], optional): A dictionary containing additional information to include in the prompt. (default: :obj:None)

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TaskPlannerAgent

class TaskPlannerAgent(ChatAgent):

• model (BaseModelBackend, optional): The model backend to use for generating responses. (default: :obj:OpenAIModel with GPT_4O_MINI)
• output_language (str, optional): The language to be output by the agent. (default: :obj:None)

​

init

def __init__(
    self,
    model: Optional[BaseModelBackend] = None,
    output_language: Optional[str] = None
):

​

run

def run(self, task_prompt: Union[str, TextPrompt]):

• task_prompt (Union[str, TextPrompt]): The prompt for the task to be divided into subtasks.

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TaskCreationAgent

class TaskCreationAgent(ChatAgent):

• role_name (str): The role name of the Agent to create the task.
• objective (Union[str, TextPrompt]): The objective of the Agent to perform the task.
• model (BaseModelBackend, optional): The LLM backend to use for generating responses. (default: :obj:OpenAIModel with GPT_4O_MINI)
• output_language (str, optional): The language to be output by the agent. (default: :obj:None)
• 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)
• max_task_num (int, optional): The maximum number of planned tasks in one round. (default: :obj:3)

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init

def __init__(
    self,
    role_name: str,
    objective: Union[str, TextPrompt],
    model: Optional[BaseModelBackend] = None,
    output_language: Optional[str] = None,
    message_window_size: Optional[int] = None,
    max_task_num: Optional[int] = 3
):

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run

def run(self, task_list: List[str]):

• task_list (List[str]): The completed or in-progress tasks which should not overlap with new created tasks.

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TaskPrioritizationAgent

class TaskPrioritizationAgent(ChatAgent):

• objective (Union[str, TextPrompt]): The objective of the Agent to perform the task.
• model (BaseModelBackend, optional): The LLM backend to use for generating responses. (default: :obj:OpenAIModel with GPT_4O_MINI)
• output_language (str, optional): The language to be output by the agent. (default: :obj:None)
• 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)

​

init

def __init__(
    self,
    objective: Union[str, TextPrompt],
    model: Optional[BaseModelBackend] = None,
    output_language: Optional[str] = None,
    message_window_size: Optional[int] = None
):

​

run

def run(self, task_list: List[str]):

• task_list (List[str]): The unprioritized tasks of agent.