EventMetadata(
*,
groundingMetadata: typing.Optional[google.genai.types.GroundingMetadata] = None,
branch: typing.Optional[str] = None,
customMetadata: typing.Optional[dict[str, typing.Any]] = None,
interrupted: typing.Optional[bool] = None,
longRunningToolIds: typing.Optional[list[str]] = None,
partial: typing.Optional[bool] = None,
turnComplete: typing.Optional[bool] = None,
inputTranscription: typing.Optional[google.genai.types.Transcription] = None,
outputTranscription: typing.Optional[google.genai.types.Transcription] = None
)Metadata relating to a LLM response event.
Methods
EventMetadata
EventMetadata(
*,
groundingMetadata: typing.Optional[google.genai.types.GroundingMetadata] = None,
branch: typing.Optional[str] = None,
customMetadata: typing.Optional[dict[str, typing.Any]] = None,
interrupted: typing.Optional[bool] = None,
longRunningToolIds: typing.Optional[list[str]] = None,
partial: typing.Optional[bool] = None,
turnComplete: typing.Optional[bool] = None,
inputTranscription: typing.Optional[google.genai.types.Transcription] = None,
outputTranscription: typing.Optional[google.genai.types.Transcription] = 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.