Source code for langchain_experimental.tot.controller

from typing import Tuple

from langchain_experimental.tot.memory import ToTDFSMemory
from langchain_experimental.tot.thought import ThoughtValidity


[docs] class ToTController: """ Tree of Thought (ToT) controller. This is a version of a ToT controller, dubbed in the paper as a "Simple Controller". It has one parameter `c` which is the number of children to explore for each thought. """
[docs] def __init__(self, c: int = 3): """ Initialize the controller. Args: c: The number of children to explore at each node. """ self.c = c
def __call__(self, memory: ToTDFSMemory) -> Tuple[str, ...]: next_thought = memory.top() parent_thought = memory.top_parent() validity = ( ThoughtValidity.VALID_INTERMEDIATE if next_thought is None else next_thought.validity ) # 1 if the current partial solution is invalid, backtrack to the parent # thought. if validity == ThoughtValidity.INVALID: memory.pop() next_thought = memory.top() if next_thought and len(next_thought.children) >= self.c: memory.pop() # 2 if the current partial solution is valid but C children were # explored and yet failed to find a final solution, backtrack to the # parent thought. elif ( validity == ThoughtValidity.VALID_INTERMEDIATE and parent_thought and len(parent_thought.children) >= self.c ): memory.pop(2) return tuple(thought.text for thought in memory.current_path())