Class ProjectsResource.LocationsResource.EndpointsResource

The "endpoints" collection of methods.

Inheritance

object

ProjectsResource.LocationsResource.EndpointsResource

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1

Assembly: Google.Apis.Aiplatform.v1.dll

Syntax

public class ProjectsResource.LocationsResource.EndpointsResource

Constructors

EndpointsResource(IClientService)

Constructs a new resource.

Declaration

public EndpointsResource(IClientService service)

Parameters

Type	Name	Description
IClientService	service

Properties

Chat

Gets the Chat resource.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ChatResource Chat { get; }

Property Value

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.ChatResource

Operations

Gets the Operations resource.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.OperationsResource Operations { get; }

Property Value

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.OperationsResource

Methods

ComputeTokens(GoogleCloudAiplatformV1ComputeTokensRequest, string)

Return a list of tokens based on the input text.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ComputeTokensRequest ComputeTokens(GoogleCloudAiplatformV1ComputeTokensRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1ComputeTokensRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to get lists of tokens and token ids.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.ComputeTokensRequest

CountTokens(GoogleCloudAiplatformV1CountTokensRequest, string)

Perform a token counting.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.CountTokensRequest CountTokens(GoogleCloudAiplatformV1CountTokensRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1CountTokensRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.CountTokensRequest

Create(GoogleCloudAiplatformV1Endpoint, string)

Creates an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.CreateRequest Create(GoogleCloudAiplatformV1Endpoint body, string parent)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1Endpoint	body	The body of the request.
string	parent	Required. The resource name of the Location to create the Endpoint in. Format: projects/{project}/locations/{location}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.CreateRequest

Delete(string)

Deletes an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DeleteRequest Delete(string name)

Parameters

Type	Name	Description
string	name	Required. The name of the Endpoint resource to be deleted. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.DeleteRequest

DeployModel(GoogleCloudAiplatformV1DeployModelRequest, string)

Deploys a Model into this Endpoint, creating a DeployedModel within it.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DeployModelRequest DeployModel(GoogleCloudAiplatformV1DeployModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1DeployModelRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.DeployModelRequest

DirectPredict(GoogleCloudAiplatformV1DirectPredictRequest, string)

Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DirectPredictRequest DirectPredict(GoogleCloudAiplatformV1DirectPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1DirectPredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.DirectPredictRequest

DirectRawPredict(GoogleCloudAiplatformV1DirectRawPredictRequest, string)

Perform an unary online prediction request to a gRPC model server for custom containers.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DirectRawPredictRequest DirectRawPredict(GoogleCloudAiplatformV1DirectRawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1DirectRawPredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.DirectRawPredictRequest

Explain(GoogleCloudAiplatformV1ExplainRequest, string)

Perform an online explanation. If deployed_model_id is specified, the corresponding DeployModel must have explanation_spec populated. If deployed_model_id is not specified, all DeployedModels must have explanation_spec populated.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ExplainRequest Explain(GoogleCloudAiplatformV1ExplainRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1ExplainRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.ExplainRequest

GenerateContent(GoogleCloudAiplatformV1GenerateContentRequest, string)

Generate content with multimodal inputs.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.GenerateContentRequest GenerateContent(GoogleCloudAiplatformV1GenerateContentRequest body, string model)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1GenerateContentRequest	body	The body of the request.
string	model	Required. The fully qualified name of the publisher model or tuned model endpoint to use. Publisher model format: projects/{project}/locations/{location}/publishers/*/models/* Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.GenerateContentRequest

Get(string)

Gets an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.GetRequest Get(string name)

Parameters

Type	Name	Description
string	name	Required. The name of the Endpoint resource. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.GetRequest

List(string)

Lists Endpoints in a Location.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ListRequest List(string parent)

Parameters

Type	Name	Description
string	parent	Required. The resource name of the Location from which to list the Endpoints. Format: projects/{project}/locations/{location}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.ListRequest

MutateDeployedModel(GoogleCloudAiplatformV1MutateDeployedModelRequest, string)

Updates an existing deployed model. Updatable fields include min_replica_count, max_replica_count, autoscaling_metric_specs, disable_container_logging (v1 only), and enable_container_logging (v1beta1 only).

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.MutateDeployedModelRequest MutateDeployedModel(GoogleCloudAiplatformV1MutateDeployedModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1MutateDeployedModelRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint resource into which to mutate a DeployedModel. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.MutateDeployedModelRequest

Patch(GoogleCloudAiplatformV1Endpoint, string)

Updates an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.PatchRequest Patch(GoogleCloudAiplatformV1Endpoint body, string name)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1Endpoint	body	The body of the request.
string	name	Output only. The resource name of the Endpoint.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.PatchRequest

Predict(GoogleCloudAiplatformV1PredictRequest, string)

Perform an online prediction.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.PredictRequest Predict(GoogleCloudAiplatformV1PredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1PredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.PredictRequest

RawPredict(GoogleCloudAiplatformV1RawPredictRequest, string)

Perform an online prediction with an arbitrary HTTP payload. The response includes the following HTTP headers: * X-Vertex-AI-Endpoint-Id: ID of the Endpoint that served this prediction. * X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's DeployedModel that served this prediction.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.RawPredictRequest RawPredict(GoogleCloudAiplatformV1RawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1RawPredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.RawPredictRequest

ServerStreamingPredict(GoogleCloudAiplatformV1StreamingPredictRequest, string)

Perform a server-side streaming online prediction request for Vertex LLM streaming.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ServerStreamingPredictRequest ServerStreamingPredict(GoogleCloudAiplatformV1StreamingPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1StreamingPredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.ServerStreamingPredictRequest

StreamGenerateContent(GoogleCloudAiplatformV1GenerateContentRequest, string)

Generate content with multimodal inputs with streaming support.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.StreamGenerateContentRequest StreamGenerateContent(GoogleCloudAiplatformV1GenerateContentRequest body, string model)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1GenerateContentRequest	body	The body of the request.
string	model	Required. The fully qualified name of the publisher model or tuned model endpoint to use. Publisher model format: projects/{project}/locations/{location}/publishers/*/models/* Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.StreamGenerateContentRequest

StreamRawPredict(GoogleCloudAiplatformV1StreamRawPredictRequest, string)

Perform a streaming online prediction with an arbitrary HTTP payload.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.StreamRawPredictRequest StreamRawPredict(GoogleCloudAiplatformV1StreamRawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1StreamRawPredictRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.StreamRawPredictRequest

UndeployModel(GoogleCloudAiplatformV1UndeployModelRequest, string)

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.UndeployModelRequest UndeployModel(GoogleCloudAiplatformV1UndeployModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1UndeployModelRequest	body	The body of the request.
string	endpoint	Required. The name of the Endpoint resource from which to undeploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.UndeployModelRequest