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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class FunctionResponse.
The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction.
Generated from protobuf message google.cloud.aiplatform.v1.FunctionResponse
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ name
string
Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name].
↳ response
Google\Protobuf\Struct
Required. The function response in JSON object format. Use "output" key to specify function output and "error" key to specify error details (if any). If "output" and "error" keys are not specified, then whole "response" is treated as function output.
getName
Required. The name of the function to call.
Matches [FunctionDeclaration.name] and [FunctionCall.name].
string
setName
Required. The name of the function to call.
Matches [FunctionDeclaration.name] and [FunctionCall.name].
var
string
$this
getResponse
Required. The function response in JSON object format.
Use "output" key to specify function output and "error" key to specify error details (if any). If "output" and "error" keys are not specified, then whole "response" is treated as function output.
hasResponse
clearResponse
setResponse
Required. The function response in JSON object format.
Use "output" key to specify function output and "error" key to specify error details (if any). If "output" and "error" keys are not specified, then whole "response" is treated as function output.
$this
