ReasoningStructuredOutputParser Class — langchain Architecture

Source Code

libs/partners/perplexity/langchain_perplexity/output_parsers.py lines 67–88

class ReasoningStructuredOutputParser(
    PydanticOutputParser[TBaseModel], Generic[TBaseModel]
):
    """A structured output parser that strips reasoning tags before parsing.

    This parser removes any content enclosed in <think> tags from the input text
    before delegating to the parent PydanticOutputParser for structured parsing.
    """

    def parse_result(self, result: list[Generation], *, partial: bool = False) -> Any:
        """Parse the result of an LLM call to a Pydantic object.

        Args:
            result: The result of the LLM call.
            partial: Whether to parse partial JSON objects.
                If `True`, the output will be a JSON object containing
                all the keys that have been returned so far.
                If `False`, the output will be the full JSON object.
        """
        text = result[0].text
        text = strip_think_tags(text)
        return super().parse_result([Generation(text=text)], partial=partial)