parse() — langchain Function Reference

Architecture documentation for the parse() function in output_parser.py from the langchain codebase.

Function python AgentOrchestration ActionLogic calls 1 called by 1

Entity Profile

AgentOrchestration→ ActionLogic→ parse() — langchain Function Reference

Dependency Diagram

graph TD
  574abdbf_1008_8bfd_6fa6_4755d13af11e["parse()"]
  249246d0_3ae9_06a7_6f45_d2d016bf1e28["StructuredChatOutputParser"]
  574abdbf_1008_8bfd_6fa6_4755d13af11e -->|defined in| 249246d0_3ae9_06a7_6f45_d2d016bf1e28
  a7391953_9a9c_49a0_f325_c37255835024["parse()"]
  a7391953_9a9c_49a0_f325_c37255835024 -->|calls| 574abdbf_1008_8bfd_6fa6_4755d13af11e
  a7391953_9a9c_49a0_f325_c37255835024["parse()"]
  574abdbf_1008_8bfd_6fa6_4755d13af11e -->|calls| a7391953_9a9c_49a0_f325_c37255835024
  style 574abdbf_1008_8bfd_6fa6_4755d13af11e fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/agents/structured_chat/output_parser.py lines 36–55

    def parse(self, text: str) -> AgentAction | AgentFinish:
        try:
            action_match = self.pattern.search(text)
            if action_match is not None:
                response = json.loads(action_match.group(1).strip(), strict=False)
                if isinstance(response, list):
                    # gpt turbo frequently ignores the directive to emit a single action
                    logger.warning("Got multiple action responses: %s", response)
                    response = response[0]
                if response["action"] == "Final Answer":
                    return AgentFinish({"output": response["action_input"]}, text)
                return AgentAction(
                    response["action"],
                    response.get("action_input", {}),
                    text,
                )
            return AgentFinish({"output": text}, text)
        except Exception as e:
            msg = f"Could not parse LLM output: {text}"
            raise OutputParserException(msg) from e