Class ConversationModelsGrpc.ConversationModelsBlockingV2Stub (4.100.0)

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public static final class ConversationModelsGrpc.ConversationModelsBlockingV2Stub extends AbstractBlockingStub<ConversationModelsGrpc.ConversationModelsBlockingV2Stub>

A stub to allow clients to do synchronous rpc calls to service ConversationModels.

Manages a collection of models for human agent assistant.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractBlockingStub > ConversationModelsGrpc.ConversationModelsBlockingV2Stub

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(java.time.Duration)

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.withOnReadyThreshold(int)

io.grpc.stub.AbstractStub.withWaitForReady()

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Methods

build(Channel channel, CallOptions callOptions)

protected ConversationModelsGrpc.ConversationModelsBlockingV2Stub build(Channel channel, CallOptions callOptions)

Parameters
Name	Description
channel	io.grpc.Channel
callOptions	io.grpc.CallOptions

Returns
Type	Description
ConversationModelsGrpc.ConversationModelsBlockingV2Stub

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
Name	Description
request	CreateConversationModelRequest

Returns
Type	Description
Operation

Exceptions
Type	Description
io.grpc.StatusException

createConversationModelEvaluation(CreateConversationModelEvaluationRequest request)

public Operation createConversationModelEvaluation(CreateConversationModelEvaluationRequest request)

Creates evaluation of a conversation model.

Parameter
Name	Description
request	CreateConversationModelEvaluationRequest

Returns
Type	Description
Operation

Exceptions
Type	Description
io.grpc.StatusException

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
Name	Description
request	DeleteConversationModelRequest

Returns
Type	Description
Operation

Exceptions
Type	Description
io.grpc.StatusException

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
Name	Description
request	DeployConversationModelRequest

Returns
Type	Description
Operation

Exceptions
Type	Description
io.grpc.StatusException

getConversationModel(GetConversationModelRequest request)

public ConversationModel getConversationModel(GetConversationModelRequest request)

Gets conversation model.

Parameter
Name	Description
request	GetConversationModelRequest

Returns
Type	Description
ConversationModel

Exceptions
Type	Description
io.grpc.StatusException

getConversationModelEvaluation(GetConversationModelEvaluationRequest request)

public ConversationModelEvaluation getConversationModelEvaluation(GetConversationModelEvaluationRequest request)

Gets an evaluation of conversation model.

Parameter
Name	Description
request	GetConversationModelEvaluationRequest

Returns
Type	Description
ConversationModelEvaluation

Exceptions
Type	Description
io.grpc.StatusException

listConversationModelEvaluations(ListConversationModelEvaluationsRequest request)

public ListConversationModelEvaluationsResponse listConversationModelEvaluations(ListConversationModelEvaluationsRequest request)

Lists evaluations of a conversation model.

Parameter
Name	Description
request	ListConversationModelEvaluationsRequest

Returns
Type	Description
ListConversationModelEvaluationsResponse

Exceptions
Type	Description
io.grpc.StatusException

listConversationModels(ListConversationModelsRequest request)

public ListConversationModelsResponse listConversationModels(ListConversationModelsRequest request)

Lists conversation models.

Parameter
Name	Description
request	ListConversationModelsRequest

Returns
Type	Description
ListConversationModelsResponse

Exceptions
Type	Description
io.grpc.StatusException

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
Name	Description
request	UndeployConversationModelRequest

Returns
Type	Description
Operation

Exceptions
Type	Description
io.grpc.StatusException