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BabyAGI

class BabyAGI:

The BabyAGI Agent adapted from “Task-driven Autonomous Agent”.

Parameters:

  • assistant_role_name (str): The name of the role played by the assistant.
  • user_role_name (str): The name of the role played by the user.
  • task_prompt (str, optional): A prompt for the task to be performed. (default: :obj:"")
  • task_type (TaskType, optional): The type of task to perform. (default: :obj:TaskType.AI_SOCIETY)
  • max_task_history (int): The maximum number of previous tasks information to include in the task agent. (default: :obj:10)
  • assistant_agent_kwargs (Dict, optional): Additional arguments to pass to the assistant agent. (default: :obj:None)
  • task_specify_agent_kwargs (Dict, optional): Additional arguments to pass to the task specify agent. (default: :obj:None)
  • task_creation_agent_kwargs (Dict, optional): Additional arguments to pass to the task creation agent. (default: :obj:None)
  • task_prioritization_agent_kwargs (Dict, optional): Additional arguments to pass to the task prioritization agent. (default: :obj:None)
  • sys_msg_generator_kwargs (Dict, optional): Additional arguments to pass to the system message generator. (default: :obj:None)
  • extend_task_specify_meta_dict (Dict, optional): A dict to extend the task specify meta dict with. (default: :obj:None)
  • output_language (str, optional): The language to be output by the agents. (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)

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init

def __init__(
    self,
    assistant_role_name: str,
    user_role_name: str,
    task_prompt: str = '',
    task_type: TaskType = TaskType.AI_SOCIETY,
    max_task_history: int = 10,
    assistant_agent_kwargs: Optional[Dict] = None,
    task_specify_agent_kwargs: Optional[Dict] = None,
    task_creation_agent_kwargs: Optional[Dict] = None,
    task_prioritization_agent_kwargs: Optional[Dict] = None,
    sys_msg_generator_kwargs: Optional[Dict] = None,
    extend_task_specify_meta_dict: Optional[Dict] = None,
    output_language: Optional[str] = None,
    message_window_size: Optional[int] = None
):

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init_specified_task_prompt

def init_specified_task_prompt(
    self,
    assistant_role_name: str,
    user_role_name: str,
    task_specify_agent_kwargs: Optional[Dict],
    extend_task_specify_meta_dict: Optional[Dict],
    output_language: Optional[str]
):

Use a task specify agent to generate a specified task prompt. Generated specified task prompt will be used to replace original task prompt. If there is no task specify agent, specified task prompt will not be generated.

Parameters:

  • assistant_role_name (str): The name of the role played by the assistant.
  • user_role_name (str): The name of the role played by the user.
  • task_specify_agent_kwargs (Dict, optional): Additional arguments to pass to the task specify agent.
  • extend_task_specify_meta_dict (Dict, optional): A dict to extend the task specify meta dict with.
  • output_language (str, optional): The language to be output by the agents.

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init_agents

def init_agents(
    self,
    init_assistant_sys_msg: BaseMessage,
    assistant_agent_kwargs: Optional[Dict],
    task_creation_agent_kwargs: Optional[Dict],
    task_prioritization_agent_kwargs: Optional[Dict],
    output_language: Optional[str],
    message_window_size: Optional[int] = None
):

Initialize assistant and user agents with their system messages.

Parameters:

  • init_assistant_sys_msg (BaseMessage): Assistant agent’s initial system message.
  • assistant_agent_kwargs (Dict, optional): Additional arguments to pass to the assistant agent.
  • task_creation_agent_kwargs (Dict, optional): Additional arguments to pass to the task creation agent.
  • task_prioritization_agent_kwargs (Dict, optional): Additional arguments to pass to the task prioritization agent.
  • output_language (str, optional): The language to be output by the agents.
  • 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)

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step

def step(self):

Returns:

ChatAgentResponse: it contains the resulting assistant message, whether the assistant agent terminated the conversation, and any additional assistant information.