langchain.output_parsers.openai_functions.OutputFunctionsParser¶
- class langchain.output_parsers.openai_functions.OutputFunctionsParser(*, args_only: bool = True)[source]¶
Bases:
BaseGenerationOutputParser[Any]Parse an output that is one of sets of values.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- param args_only: bool = True¶
Whether to only return the arguments to the function call.
- invoke(input: str | langchain.schema.messages.BaseMessage, config: langchain.schema.runnable.RunnableConfig | None = None) T¶
- parse_result(result: List[Generation]) Any[source]¶
Parse a list of candidate model Generations into a specific format.
- Parameters
result – A list of Generations to be parsed. The Generations are assumed to be different candidate outputs for a single model input.
- Returns
Structured output.
- to_json() Union[SerializedConstructor, SerializedNotImplemented]¶
- to_json_not_implemented() SerializedNotImplemented¶
- property lc_attributes: Dict¶
Return a list of attribute names that should be included in the serialized kwargs. These attributes must be accepted by the constructor.
- property lc_namespace: List[str]¶
Return the namespace of the langchain object. eg. [“langchain”, “llms”, “openai”]
- property lc_secrets: Dict[str, str]¶
Return a map of constructor argument names to secret ids. eg. {“openai_api_key”: “OPENAI_API_KEY”}
- property lc_serializable: bool¶
Return whether or not the class is serializable.