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agenthub.planner_agent.prompt

get_hint​

def get_hint(latest_action_id: str) -> str

Returns action type hint based on given action_id

get_prompt​

def get_prompt(plan: Plan, history: List[Tuple[Action, Observation]]) -> str

Gets the prompt for the planner agent. Formatted with the most recent action-observation pairs, current task, and hint based on last action

Arguments:

  • plan (Plan): The original plan outlined by the user with LLM defined tasks
  • history (List[Tuple[Action, Observation]]): List of corresponding action-observation pairs

Returns:

  • str: The formatted string prompt with historical values

parse_response​

def parse_response(response: str) -> Action

Parses the model output to find a valid action to take

Arguments:

  • response (str): A response from the model that potentially contains an Action.

Returns:

  • Action: A valid next action to perform from model output