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Class ConversationModelsGrpc.ConversationModelsBlockingStub (4.8.5)
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Version 4.8.5 keyboard_arrow_down
public static final class ConversationModelsGrpc . ConversationModelsBlockingStub extends AbstractBlockingStub<ConversationModelsGrpc . ConversationModelsBlockingStub >
Manages a collection of models for human agent assistant.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
ConversationModelsGrpc.ConversationModelsBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.getCallOptions()
io.grpc.stub.AbstractStub.getChannel()
io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)
io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)
io.grpc.stub.AbstractStub.withCompression(java.lang.String)
io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)
io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)
io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)
io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)
io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)
io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
build(Channel channel, CallOptions callOptions)
protected ConversationModelsGrpc . ConversationModelsBlockingStub build ( Channel channel , CallOptions callOptions )
Parameters
Name Description channel io.grpc.Channel callOptions io.grpc.CallOptions
Returns
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
createConversationModel(CreateConversationModelRequest request)
public Operation createConversationModel ( CreateConversationModelRequest request )
Creates a model.
This method is a long-running
operation .
The returned Operation type has the following method-specific fields:
metadata: CreateConversationModelOperationMetadata response: ConversationModel
Parameter
Returns
createConversationModelEvaluation(CreateConversationModelEvaluationRequest request)
public Operation createConversationModelEvaluation ( CreateConversationModelEvaluationRequest request )
Creates evaluation of a conversation model.
Parameter
Returns
deleteConversationModel(DeleteConversationModelRequest request)
public Operation deleteConversationModel ( DeleteConversationModelRequest request )
Deletes a model.
This method is a long-running
operation .
The returned Operation type has the following method-specific fields:
metadata: DeleteConversationModelOperationMetadata response: An Empty
message
Parameter
Returns
deployConversationModel(DeployConversationModelRequest request)
public Operation deployConversationModel ( DeployConversationModelRequest request )
Deploys a model. If a model is already deployed, deploying it
has no effect. A model can only serve prediction requests after it gets
deployed. For article suggestion, custom model will not be used unless
it is deployed.
This method is a long-running
operation .
The returned Operation type has the following method-specific fields:
metadata: DeployConversationModelOperationMetadata response: An Empty
message
Parameter
Returns
getConversationModel(GetConversationModelRequest request)
public ConversationModel getConversationModel ( GetConversationModelRequest request )
Parameter
Returns
getConversationModelEvaluation(GetConversationModelEvaluationRequest request)
public ConversationModelEvaluation getConversationModelEvaluation ( GetConversationModelEvaluationRequest request )
Gets an evaluation of conversation model.
Parameter
Returns
listConversationModelEvaluations(ListConversationModelEvaluationsRequest request)
public ListConversationModelEvaluationsResponse listConversationModelEvaluations ( ListConversationModelEvaluationsRequest request )
Lists evaluations of a conversation model.
Parameter
Returns
listConversationModels(ListConversationModelsRequest request)
public ListConversationModelsResponse listConversationModels ( ListConversationModelsRequest request )
Lists conversation models.
Parameter
Returns
undeployConversationModel(UndeployConversationModelRequest request)
public Operation undeployConversationModel ( UndeployConversationModelRequest request )
Undeploys a model. If the model is not deployed this method has no effect.
If the model is currently being used:
For article suggestion, article suggestion will fallback to the default
model if model is undeployed.
This method is a long-running
operation .
The returned Operation type has the following method-specific fields:
metadata: UndeployConversationModelOperationMetadata response: An Empty
message
Parameter
Returns
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Last updated 2025-01-27 UTC.
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