parse_result() — langchain Function Reference
Architecture documentation for the parse_result() function in openai_functions.py from the langchain codebase.
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Dependency Diagram
graph TD d253ebed_0202_dcd8_e287_af9a054abec5["parse_result()"] 81f1c15b_af3e_ae64_a7f3_f879dbbc272b["JsonKeyOutputFunctionsParser"] d253ebed_0202_dcd8_e287_af9a054abec5 -->|defined in| 81f1c15b_af3e_ae64_a7f3_f879dbbc272b style d253ebed_0202_dcd8_e287_af9a054abec5 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/langchain_core/output_parsers/openai_functions.py lines 163–176
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.
"""
res = super().parse_result(result, partial=partial)
if partial and res is None:
return None
return res.get(self.key_name) if partial else res[self.key_name]
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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 163.
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