Class ConversationModelsGrpc.ConversationModelsBlockingStub (4.22.0)
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public static final class ConversationModelsGrpc . ConversationModelsBlockingStub extends AbstractBlockingStub<ConversationModelsGrpc . ConversationModelsBlockingStub >
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.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
channelio.grpc.Channel
callOptionsio.grpc.CallOptions
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
createConversationModelEvaluation(CreateConversationModelEvaluationRequest request)
public Operation createConversationModelEvaluation ( CreateConversationModelEvaluationRequest request )
Creates evaluation of a conversation model.
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
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
getConversationModel(GetConversationModelRequest request)
public ConversationModel getConversationModel ( GetConversationModelRequest request )
getConversationModelEvaluation(GetConversationModelEvaluationRequest request)
public ConversationModelEvaluation getConversationModelEvaluation ( GetConversationModelEvaluationRequest request )
Gets an evaluation of conversation model.
listConversationModelEvaluations(ListConversationModelEvaluationsRequest request)
public ListConversationModelEvaluationsResponse listConversationModelEvaluations ( ListConversationModelEvaluationsRequest request )
Lists evaluations of a conversation model.
listConversationModels(ListConversationModelsRequest request)
public ListConversationModelsResponse listConversationModels ( ListConversationModelsRequest request )
Lists conversation models.
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
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Last updated 2026-03-14 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-14 UTC."],[],[]]
