Home / Function/ parse_result() — langchain Function Reference

parse_result() — langchain Function Reference

Architecture documentation for the parse_result() function in openai_functions.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  694167a6_3b7c_5757_3de9_9bd6a9f1e0fb["parse_result()"]
  cd08b79a_c90b_fbdf_532d_2b10cff609f2["PydanticAttrOutputFunctionsParser"]
  694167a6_3b7c_5757_3de9_9bd6a9f1e0fb -->|defined in| cd08b79a_c90b_fbdf_532d_2b10cff609f2
  style 694167a6_3b7c_5757_3de9_9bd6a9f1e0fb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/output_parsers/openai_functions.py lines 302–313

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

        Args:
            result: The result of the LLM call.
            partial: Whether to parse partial JSON objects.

        Returns:
            The parsed JSON object.
        """
        result = super().parse_result(result)
        return getattr(result, self.attr_name)

Domain

Subdomains

Frequently Asked Questions

What does parse_result() do?
parse_result() is a function in the langchain codebase, defined in libs/core/langchain_core/output_parsers/openai_functions.py.
Where is parse_result() defined?
parse_result() is defined in libs/core/langchain_core/output_parsers/openai_functions.py at line 302.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free