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.v1beta1

Assembly: Google.Apis.Aiplatform.v1beta1.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(GoogleCloudAiplatformV1beta1ComputeTokensRequest, string)

Return a list of tokens based on the input text.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ComputeTokensRequest ComputeTokens(GoogleCloudAiplatformV1beta1ComputeTokensRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1ComputeTokensRequest	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(GoogleCloudAiplatformV1beta1CountTokensRequest, string)

Perform a token counting.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.CountTokensRequest CountTokens(GoogleCloudAiplatformV1beta1CountTokensRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1CountTokensRequest	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(GoogleCloudAiplatformV1beta1Endpoint, string)

Creates an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.CreateRequest Create(GoogleCloudAiplatformV1beta1Endpoint body, string parent)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1Endpoint	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(GoogleCloudAiplatformV1beta1DeployModelRequest, string)

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

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DeployModelRequest DeployModel(GoogleCloudAiplatformV1beta1DeployModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1DeployModelRequest	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(GoogleCloudAiplatformV1beta1DirectPredictRequest, 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(GoogleCloudAiplatformV1beta1DirectPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1DirectPredictRequest	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(GoogleCloudAiplatformV1beta1DirectRawPredictRequest, string)

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

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.DirectRawPredictRequest DirectRawPredict(GoogleCloudAiplatformV1beta1DirectRawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1DirectRawPredictRequest	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(GoogleCloudAiplatformV1beta1ExplainRequest, 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(GoogleCloudAiplatformV1beta1ExplainRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1ExplainRequest	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(GoogleCloudAiplatformV1beta1GenerateContentRequest, string)

Generate content with multimodal inputs.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.GenerateContentRequest GenerateContent(GoogleCloudAiplatformV1beta1GenerateContentRequest body, string model)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1GenerateContentRequest	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

GetIamPolicy(string)

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.GetIamPolicyRequest GetIamPolicy(string resource)

Parameters

Type	Name	Description
string	resource	REQUIRED: The resource for which the policy is being requested. See Resource names for the appropriate value for this field.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.GetIamPolicyRequest

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(GoogleCloudAiplatformV1beta1MutateDeployedModelRequest, 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(GoogleCloudAiplatformV1beta1MutateDeployedModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1MutateDeployedModelRequest	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(GoogleCloudAiplatformV1beta1Endpoint, string)

Updates an Endpoint.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.PatchRequest Patch(GoogleCloudAiplatformV1beta1Endpoint body, string name)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1Endpoint	body	The body of the request.
string	name	Output only. The resource name of the Endpoint.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.PatchRequest

Predict(GoogleCloudAiplatformV1beta1PredictRequest, string)

Perform an online prediction.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.PredictRequest Predict(GoogleCloudAiplatformV1beta1PredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1PredictRequest	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(GoogleCloudAiplatformV1beta1RawPredictRequest, 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(GoogleCloudAiplatformV1beta1RawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1RawPredictRequest	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(GoogleCloudAiplatformV1beta1StreamingPredictRequest, string)

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

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.ServerStreamingPredictRequest ServerStreamingPredict(GoogleCloudAiplatformV1beta1StreamingPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1StreamingPredictRequest	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

SetIamPolicy(GoogleIamV1SetIamPolicyRequest, string)

Sets the access control policy on the specified resource. Replaces any existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.SetIamPolicyRequest SetIamPolicy(GoogleIamV1SetIamPolicyRequest body, string resource)

Parameters

Type	Name	Description
GoogleIamV1SetIamPolicyRequest	body	The body of the request.
string	resource	REQUIRED: The resource for which the policy is being specified. See Resource names for the appropriate value for this field.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.SetIamPolicyRequest

StreamGenerateContent(GoogleCloudAiplatformV1beta1GenerateContentRequest, string)

Generate content with multimodal inputs with streaming support.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.StreamGenerateContentRequest StreamGenerateContent(GoogleCloudAiplatformV1beta1GenerateContentRequest body, string model)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1GenerateContentRequest	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(GoogleCloudAiplatformV1beta1StreamRawPredictRequest, string)

Perform a streaming online prediction with an arbitrary HTTP payload.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.StreamRawPredictRequest StreamRawPredict(GoogleCloudAiplatformV1beta1StreamRawPredictRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1StreamRawPredictRequest	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

TestIamPermissions(string)

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Declaration

public virtual ProjectsResource.LocationsResource.EndpointsResource.TestIamPermissionsRequest TestIamPermissions(string resource)

Parameters

Type	Name	Description
string	resource	REQUIRED: The resource for which the policy detail is being requested. See Resource names for the appropriate value for this field.

Returns

Type	Description
ProjectsResource.LocationsResource.EndpointsResource.TestIamPermissionsRequest

UndeployModel(GoogleCloudAiplatformV1beta1UndeployModelRequest, 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(GoogleCloudAiplatformV1beta1UndeployModelRequest body, string endpoint)

Parameters

Type	Name	Description
GoogleCloudAiplatformV1beta1UndeployModelRequest	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