Struct google_api_proto::google::cloud::dialogflow::v2::conversation_models_client::ConversationModelsClient

pub struct ConversationModelsClient<T> { /* private fields */ }

Manages a collection of models for human agent assistant.

Implementations

impl<T> ConversationModelsClient<T>

where T: GrpcService<BoxBody>, T::Error: Into<StdError>, T::ResponseBody: Body<Data = Bytes> + Send + 'static, <T::ResponseBody as Body>::Error: Into<StdError> + Send,

pub fn new(inner: T) -> Self

pub fn with_origin(inner: T, origin: Uri) -> Self

pub fn with_interceptor<F>( inner: T, interceptor: F, ) -> ConversationModelsClient<InterceptedService<T, F>>

where F: Interceptor, T::ResponseBody: Default, T: Service<Request<BoxBody>, Response = Response<<T as GrpcService<BoxBody>>::ResponseBody>>, <T as Service<Request<BoxBody>>>::Error: Into<StdError> + Send + Sync,

pub fn send_compressed(self, encoding: CompressionEncoding) -> Self

Compress requests with the given encoding.

This requires the server to support it otherwise it might respond with an error.

pub fn accept_compressed(self, encoding: CompressionEncoding) -> Self

Enable decompressing responses.

pub fn max_decoding_message_size(self, limit: usize) -> Self

Limits the maximum size of a decoded message.

Default: 4MB

pub fn max_encoding_message_size(self, limit: usize) -> Self

Limits the maximum size of an encoded message.

Default: usize::MAX

pub async fn create_conversation_model( &mut self, request: impl IntoRequest<CreateConversationModelRequest>, ) -> Result<Response<Operation>, Status>

Creates a model.

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

• metadata: [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata]
• response: [ConversationModel][google.cloud.dialogflow.v2.ConversationModel]

pub async fn get_conversation_model( &mut self, request: impl IntoRequest<GetConversationModelRequest>, ) -> Result<Response<ConversationModel>, Status>

Gets conversation model.

pub async fn list_conversation_models( &mut self, request: impl IntoRequest<ListConversationModelsRequest>, ) -> Result<Response<ListConversationModelsResponse>, Status>

Lists conversation models.

pub async fn delete_conversation_model( &mut self, request: impl IntoRequest<DeleteConversationModelRequest>, ) -> Result<Response<Operation>, Status>

Deletes a model.

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

• metadata: [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata]
• response: An Empty message

pub async fn deploy_conversation_model( &mut self, request: impl IntoRequest<DeployConversationModelRequest>, ) -> Result<Response<Operation>, Status>

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][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata]
• response: An Empty message

pub async fn undeploy_conversation_model( &mut self, request: impl IntoRequest<UndeployConversationModelRequest>, ) -> Result<Response<Operation>, Status>

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][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata]
• response: An Empty message

pub async fn get_conversation_model_evaluation( &mut self, request: impl IntoRequest<GetConversationModelEvaluationRequest>, ) -> Result<Response<ConversationModelEvaluation>, Status>

Gets an evaluation of conversation model.

pub async fn list_conversation_model_evaluations( &mut self, request: impl IntoRequest<ListConversationModelEvaluationsRequest>, ) -> Result<Response<ListConversationModelEvaluationsResponse>, Status>

Lists evaluations of a conversation model.

pub async fn create_conversation_model_evaluation( &mut self, request: impl IntoRequest<CreateConversationModelEvaluationRequest>, ) -> Result<Response<Operation>, Status>

Creates evaluation of a conversation model.

Trait Implementations

impl<T: Clone> Clone for ConversationModelsClient<T>

fn clone(&self) -> ConversationModelsClient<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for ConversationModelsClient<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.