Class AgentsGrpc.AgentsStub

java.lang.Object
io.grpc.stub.AbstractStub<S>
io.grpc.stub.AbstractAsyncStub<AgentsGrpc.AgentsStub>
com.google.cloud.dialogflow.v2.AgentsGrpc.AgentsStub
Enclosing class:
AgentsGrpc

public static final class AgentsGrpc.AgentsStub extends io.grpc.stub.AbstractAsyncStub<AgentsGrpc.AgentsStub>
A stub to allow clients to do asynchronous rpc calls to service Agents.
 Service for managing [Agents][google.cloud.dialogflow.v2.Agent].
 
  • Method Details

    • build

      protected AgentsGrpc.AgentsStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions)
      Specified by:
      build in class io.grpc.stub.AbstractStub<AgentsGrpc.AgentsStub>
    • getAgent

      public void getAgent(GetAgentRequest request, io.grpc.stub.StreamObserver<Agent> responseObserver)
       Retrieves the specified agent.
       
    • setAgent

      public void setAgent(SetAgentRequest request, io.grpc.stub.StreamObserver<Agent> responseObserver)
       Creates/updates the specified agent.
       Note: You should always train an agent prior to sending it queries. See the
       [training
       documentation](https://cloud.google.com/dialogflow/es/docs/training).
       
    • deleteAgent

      public void deleteAgent(DeleteAgentRequest request, io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver)
       Deletes the specified agent.
       
    • searchAgents

      public void searchAgents(SearchAgentsRequest request, io.grpc.stub.StreamObserver<SearchAgentsResponse> responseObserver)
       Returns the list of agents.
       Since there is at most one conversational agent per project, this method is
       useful primarily for listing all agents across projects the caller has
       access to. One can achieve that with a wildcard project collection id "-".
       Refer to [List
       Sub-Collections](https://cloud.google.com/apis/design/design_patterns#list_sub-collections).
       
    • trainAgent

      public void trainAgent(TrainAgentRequest request, io.grpc.stub.StreamObserver<Operation> responseObserver)
       Trains the specified agent.
       This method is a [long-running
       operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
       The returned `Operation` type has the following method-specific fields:
       - `metadata`: An empty [Struct
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct)
       - `response`: An [Empty
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
       Note: You should always train an agent prior to sending it queries. See the
       [training
       documentation](https://cloud.google.com/dialogflow/es/docs/training).
       
    • exportAgent

      public void exportAgent(ExportAgentRequest request, io.grpc.stub.StreamObserver<Operation> responseObserver)
       Exports the specified agent to a ZIP file.
       This method is a [long-running
       operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
       The returned `Operation` type has the following method-specific fields:
       - `metadata`: An empty [Struct
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct)
       - `response`:
       [ExportAgentResponse][google.cloud.dialogflow.v2.ExportAgentResponse]
       
    • importAgent

      public void importAgent(ImportAgentRequest request, io.grpc.stub.StreamObserver<Operation> responseObserver)
       Imports the specified agent from a ZIP file.
       Uploads new intents and entity types without deleting the existing ones.
       Intents and entity types with the same name are replaced with the new
       versions from
       [ImportAgentRequest][google.cloud.dialogflow.v2.ImportAgentRequest]. After
       the import, the imported draft agent will be trained automatically (unless
       disabled in agent settings). However, once the import is done, training may
       not be completed yet. Please call
       [TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent] and wait for the
       operation it returns in order to train explicitly.
       This method is a [long-running
       operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
       The returned `Operation` type has the following method-specific fields:
       - `metadata`: An empty [Struct
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct)
       - `response`: An [Empty
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
       The operation only tracks when importing is complete, not when it is done
       training.
       Note: You should always train an agent prior to sending it queries. See the
       [training
       documentation](https://cloud.google.com/dialogflow/es/docs/training).
       
    • restoreAgent

      public void restoreAgent(RestoreAgentRequest request, io.grpc.stub.StreamObserver<Operation> responseObserver)
       Restores the specified agent from a ZIP file.
       Replaces the current agent version with a new one. All the intents and
       entity types in the older version are deleted. After the restore, the
       restored draft agent will be trained automatically (unless disabled in
       agent settings). However, once the restore is done, training may not be
       completed yet. Please call
       [TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent] and wait for the
       operation it returns in order to train explicitly.
       This method is a [long-running
       operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
       The returned `Operation` type has the following method-specific fields:
       - `metadata`: An empty [Struct
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct)
       - `response`: An [Empty
         message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
       The operation only tracks when restoring is complete, not when it is done
       training.
       Note: You should always train an agent prior to sending it queries. See the
       [training
       documentation](https://cloud.google.com/dialogflow/es/docs/training).
       
    • getValidationResult

      public void getValidationResult(GetValidationResultRequest request, io.grpc.stub.StreamObserver<ValidationResult> responseObserver)
       Gets agent validation result. Agent validation is performed during
       training time and is updated automatically when training is completed.