Google.Cloud.AIPlatform.V1Beta1
Google.Cloud.AIPlatform.V1Beta1 is a.NET client library for the Cloud AI Platform API.
Note:
This documentation is for version 1.0.0-beta01 of the library.
Some samples may not work with other versions.
Installation
Install the Google.Cloud.AIPlatform.V1Beta1 package from NuGet. Add it to
your project in the normal way (for example by right-clicking on the
project in Visual Studio and choosing "Manage NuGet Packages...").
Please ensure you enable pre-release packages (for example, in the
Visual Studio NuGet user interface, check the "Include prerelease"
box). Some of the following samples might only work with the latest
pre-release version (1.0.0-beta01) of Google.Cloud.AIPlatform.V1Beta1.
Authentication
When running on Google Cloud, no action needs to be taken to authenticate.
Otherwise, the simplest way of authenticating your API calls is to set up Application Default Credentials. The credentials will automatically be used to authenticate. See Set up Application Default Credentials for more details.
Getting started
All operations are performed through the following client classes:
- DatasetServiceClient
- DeploymentResourcePoolServiceClient
- EndpointServiceClient
- EvaluationServiceClient
- ExtensionExecutionServiceClient
- ExtensionRegistryServiceClient
- FeatureOnlineStoreAdminServiceClient
- FeatureOnlineStoreServiceClient
- FeatureRegistryServiceClient
- FeaturestoreOnlineServingServiceClient
- FeaturestoreServiceClient
- GenAiCacheServiceClient
- GenAiTuningServiceClient
- IndexEndpointServiceClient
- IndexServiceClient
- JobServiceClient
- LlmUtilityServiceClient
- MatchServiceClient
- MetadataServiceClient
- MigrationServiceClient
- ModelGardenServiceClient
- ModelMonitoringServiceClient
- ModelServiceClient
- NotebookServiceClient
- PersistentResourceServiceClient
- PipelineServiceClient
- PredictionServiceClient
- ReasoningEngineExecutionServiceClient
- ReasoningEngineServiceClient
- ScheduleServiceClient
- SpecialistPoolServiceClient
- TensorboardServiceClient
- VertexRagDataServiceClient
- VertexRagServiceClient
- VizierServiceClient
Create a client instance by calling the static Create or CreateAsync methods. Alternatively,
use the builder class associated with each client class (e.g. DatasetServiceClientBuilder for DatasetServiceClient)
as an easy way of specifying custom credentials, settings, or a custom endpoint. Clients are thread-safe,
and we recommend using a single instance across your entire application unless you have a particular need
to configure multiple client objects separately.
Using the REST (HTTP/1.1) transport
This library defaults to performing RPCs using gRPC using the binary Protocol Buffer wire format.
However, it also supports HTTP/1.1 and JSON, for situations where gRPC doesn't work as desired. (This is typically due to an incompatible proxy
or other network issue.) To create a client using HTTP/1.1, specify a RestGrpcAdapter reference for the GrpcAdapter property in the client builder.
Sample code:
var client = new DatasetServiceClientBuilder
{
GrpcAdapter = RestGrpcAdapter.Default
}.Build();
For more details, see the transport selection page.