Class SchemaPromptSpecStructuredPrompt (1.129.0)

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SchemaPromptSpecStructuredPrompt(
    *,
    context: typing.Optional[google.genai.types.Content] = None,
    examples: typing.Optional[
        list[vertexai._genai.types.common.SchemaPromptSpecPartList]
    ] = None,
    infillPrefix: typing.Optional[str] = None,
    infillSuffix: typing.Optional[str] = None,
    inputPrefixes: typing.Optional[list[str]] = None,
    outputPrefixes: typing.Optional[list[str]] = None,
    predictionInputs: typing.Optional[
        list[vertexai._genai.types.common.SchemaPromptSpecPartList]
    ] = None,
    promptMessage: typing.Optional[
        vertexai._genai.types.common.SchemaPromptSpecPromptMessage
    ] = None
)

Represents a structured prompt.

Methods

SchemaPromptSpecStructuredPrompt

SchemaPromptSpecStructuredPrompt(
    *,
    context: typing.Optional[google.genai.types.Content] = None,
    examples: typing.Optional[
        list[vertexai._genai.types.common.SchemaPromptSpecPartList]
    ] = None,
    infillPrefix: typing.Optional[str] = None,
    infillSuffix: typing.Optional[str] = None,
    inputPrefixes: typing.Optional[list[str]] = None,
    outputPrefixes: typing.Optional[list[str]] = None,
    predictionInputs: typing.Optional[
        list[vertexai._genai.types.common.SchemaPromptSpecPartList]
    ] = None,
    promptMessage: typing.Optional[
        vertexai._genai.types.common.SchemaPromptSpecPromptMessage
    ] = None
)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.