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Method

extractDataUsingLLM POST

Copy POST

Extract fields from a document using a large language model.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	fieldDescriptors	list[FieldDescriptor]	A list of fields to extract from the document.
No	documentId	str	The ID of the document to query.
No	documentText	str	The text of the document to query. Only used if document_id is not provided.
No	llmName	LLMName	The name of the language model to use. If not provided, the default language model is used.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY

TYPE

DESCRIPTION

success

Boolean

true if the call succeeded, false if there was an error

result

ExtractedFields

KEY	TYPE	Description
data	dict	The fields/data extracted from the document.
rawLlmResponse	str	The raw llm response. Only returned if it could not be parsed to json dict.

Exceptions:

TYPE	WHEN
DataNotFoundError	`documentId` is not found.
InvalidEnumParameterError	An invalid value is passed for `llmName`.

Language:

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