Class ConversationModelsGrpc.ConversationModelsStub (4.13.0)

public static final class ConversationModelsGrpc.ConversationModelsStub extends AbstractAsyncStub<ConversationModelsGrpc.ConversationModelsStub>

Manages a collection of models for human agent assistant.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractAsyncStub > ConversationModelsGrpc.ConversationModelsStub

Inherited Members

io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)

io.grpc.stub.AbstractAsyncStub.<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()

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.ConversationModelsStub build(Channel channel, CallOptions callOptions)

Parameters

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

Returns

Type	Description
ConversationModelsGrpc.ConversationModelsStub

Overrides

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

createConversationModel(CreateConversationModelRequest request, StreamObserver<Operation> responseObserver)

public void createConversationModel(CreateConversationModelRequest request, StreamObserver<Operation> responseObserver)

Creates a model. This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: CreateConversationModelOperationMetadata
response: ConversationModel

Parameters

Name	Description
request	`CreateConversationModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

createConversationModelEvaluation(CreateConversationModelEvaluationRequest request, StreamObserver<Operation> responseObserver)

public void createConversationModelEvaluation(CreateConversationModelEvaluationRequest request, StreamObserver<Operation> responseObserver)

Creates evaluation of a conversation model.

Parameters

Name	Description
request	`CreateConversationModelEvaluationRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deleteConversationModel(DeleteConversationModelRequest request, StreamObserver<Operation> responseObserver)

public void deleteConversationModel(DeleteConversationModelRequest request, StreamObserver<Operation> responseObserver)

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

Parameters

Name	Description
request	`DeleteConversationModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deployConversationModel(DeployConversationModelRequest request, StreamObserver<Operation> responseObserver)

public void deployConversationModel(DeployConversationModelRequest request, StreamObserver<Operation> responseObserver)

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

Parameters

Name	Description
request	`DeployConversationModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

getConversationModel(GetConversationModelRequest request, StreamObserver<ConversationModel> responseObserver)

public void getConversationModel(GetConversationModelRequest request, StreamObserver<ConversationModel> responseObserver)

Gets conversation model.

Parameters

Name	Description
request	`GetConversationModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<ConversationModel>`

getConversationModelEvaluation(GetConversationModelEvaluationRequest request, StreamObserver<ConversationModelEvaluation> responseObserver)

public void getConversationModelEvaluation(GetConversationModelEvaluationRequest request, StreamObserver<ConversationModelEvaluation> responseObserver)

Gets an evaluation of conversation model.

Parameters

Name	Description
request	`GetConversationModelEvaluationRequest`
responseObserver	`io.grpc.stub.StreamObserver<ConversationModelEvaluation>`

listConversationModelEvaluations(ListConversationModelEvaluationsRequest request, StreamObserver<ListConversationModelEvaluationsResponse> responseObserver)

public void listConversationModelEvaluations(ListConversationModelEvaluationsRequest request, StreamObserver<ListConversationModelEvaluationsResponse> responseObserver)

Lists evaluations of a conversation model.

Parameters

Name	Description
request	`ListConversationModelEvaluationsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListConversationModelEvaluationsResponse>`

listConversationModels(ListConversationModelsRequest request, StreamObserver<ListConversationModelsResponse> responseObserver)

public void listConversationModels(ListConversationModelsRequest request, StreamObserver<ListConversationModelsResponse> responseObserver)

Lists conversation models.

Parameters

Name	Description
request	`ListConversationModelsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListConversationModelsResponse>`

undeployConversationModel(UndeployConversationModelRequest request, StreamObserver<Operation> responseObserver)

public void undeployConversationModel(UndeployConversationModelRequest request, StreamObserver<Operation> responseObserver)

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

Parameters

Name	Description
request	`UndeployConversationModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`