---
title: googleapis/swift-google-cloud-aiplatform-v1
framework: Swift Package Catalog
role: article
path: packages/googleapis/swift-google-cloud-aiplatform-v1
---

# googleapis/swift-google-cloud-aiplatform-v1

Train high-quality custom machine learning models with minimal machine

## Overview

The following types provide methods to make RPCs. They are a good starting point to learn about this library.

- `DataFoundryServiceClient`: Service for generating and preparing datasets for Gen AI evaluation. (enabled by the `DataFoundryService` trait) - `DatasetServiceClient`: The service that manages Vertex AI Dataset and its child resources. (enabled by the `DatasetService` trait) - `DeploymentResourcePoolServiceClient`: A service that manages the DeploymentResourcePool resource. (enabled by the `DeploymentResourcePoolService` trait) - `EndpointServiceClient`: A service for managing Vertex AI's Endpoints. (enabled by the `EndpointService` trait) - `EvaluationServiceClient`: Vertex AI Online Evaluation Service. (enabled by the `EvaluationService` trait) - `FeatureOnlineStoreAdminServiceClient`: The service that handles CRUD and List for resources for FeatureOnlineStore. (enabled by the `FeatureOnlineStoreAdminService` trait) - `FeatureOnlineStoreServiceClient`: A service for fetching feature values from the online store. (enabled by the `FeatureOnlineStoreService` trait) - `FeatureRegistryServiceClient`: The service that handles CRUD and List for resources for FeatureRegistry. (enabled by the `FeatureRegistryService` trait) - `FeaturestoreOnlineServingServiceClient`: A service for serving online feature values. (enabled by the `FeaturestoreOnlineServingService` trait) - `FeaturestoreServiceClient`: The service that handles CRUD and List for resources for Featurestore. (enabled by the `FeaturestoreService` trait) - `GenAiCacheServiceClient`: Service for managing Vertex AI's CachedContent resource. (enabled by the `GenAiCacheService` trait) - `GenAiTuningServiceClient`: A service for creating and managing GenAI Tuning Jobs. (enabled by the `GenAiTuningService` trait) - `IndexEndpointServiceClient`: A service for managing Vertex AI's IndexEndpoints. (enabled by the `IndexEndpointService` trait) - `IndexServiceClient`: A service for creating and managing Vertex AI's Index resources. (enabled by the `IndexService` trait) - `JobServiceClient`: A service for creating and managing Vertex AI's jobs. (enabled by the `JobService` trait) - `LlmUtilityServiceClient`: Service for LLM related utility functions. (enabled by the `LlmUtilityService` trait) - `MatchServiceClient`: MatchService is a Google managed service for efficient vector similarity search at scale. (enabled by the `MatchService` trait) - `MetadataServiceClient`: Service for reading and writing metadata entries. (enabled by the `MetadataService` trait) - `MigrationServiceClient`: A service that migrates resources from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. (enabled by the `MigrationService` trait) - `ModelGardenServiceClient`: The interface of Model Garden Service. (enabled by the `ModelGardenService` trait) - `ModelServiceClient`: A service for managing Vertex AI's machine learning Models. (enabled by the `ModelService` trait) - `NotebookServiceClient`: The interface for Vertex Notebook service (a.k.a. (enabled by the `NotebookService` trait) - `PersistentResourceServiceClient`: A service for managing Vertex AI's machine learning PersistentResource. (enabled by the `PersistentResourceService` trait) - `PipelineServiceClient`: A service for creating and managing Vertex AI's pipelines. (enabled by the `PipelineService` trait) - `PredictionServiceClient`: A service for online predictions and explanations. (enabled by the `PredictionService` trait) - `ReasoningEngineExecutionServiceClient`: A service for executing queries on Reasoning Engine. (enabled by the `ReasoningEngineExecutionService` trait) - `ReasoningEngineServiceClient`: A service for managing Vertex AI's Reasoning Engines. (enabled by the `ReasoningEngineService` trait) - `ScheduleServiceClient`: A service for creating and managing Vertex AI's Schedule resources to periodically launch shceudled runs to make API calls. (enabled by the `ScheduleService` trait) - `SessionServiceClient`: The service that manages Vertex Session related resources. (enabled by the `SessionService` trait) - `SpecialistPoolServiceClient`: A service for creating and managing Customer SpecialistPools. (enabled by the `SpecialistPoolService` trait) - `TensorboardServiceClient`: TensorboardService. (enabled by the `TensorboardService` trait) - `VertexRagDataServiceClient`: A service for managing user data for RAG. (enabled by the `VertexRagDataService` trait) - `VertexRagServiceClient`: A service for retrieving relevant contexts. (enabled by the `VertexRagService` trait) - `VizierServiceClient`: Vertex AI Vizier API. (enabled by the `VizierService` trait)

## Quickstart

The following example demonstrates using `PredictionServiceClient`:

```swift import Foundation import GoogleCloudAIPlatformV1 import GoogleApi import GoogleCloudLocation import GoogleIAMV1 import GoogleLongRunning import GoogleWKT

func sample() async throws {   let client = try GoogleCloudAIPlatformV1.PredictionServiceClient()   let response = try await client.predict(     request: PredictRequest()   /* set fields using .with { $0... } */ )   print("Success: \(response)") } ```

## Requirements

For the minimum supported Swift version and platform requirements, see the [Requirements](https://github.com/googleapis/google-cloud-swift#minimum-supported-swift-version) section in the `google-cloud-swift` repository.

## Installation

Add `swift-google-cloud-aiplatform-v1` as a package dependency:

```bash swift package add-dependency https://github.com/googleapis/swift-google-cloud-aiplatform-v1.git --from 0.6.0 ```

Then add `GoogleCloudAIPlatformV1` to your target's dependencies:

```bash swift package add-target-dependency GoogleCloudAIPlatformV1 <target-name> --package swift-google-cloud-aiplatform-v1 ```

### Package Traits

This package uses Swift package traits to conditionally compile individual service clients and their associated types. Enabling a trait enables the corresponding client and all the request, response, and model types needed to use that client.

The following traits are enabled by default: - `PredictionService`

To enable additional traits alongside the defaults, specify them in `Package.swift`:

```swift .package(url: "https://github.com/googleapis/swift-google-cloud-aiplatform-v1.git", from: "0.6.0", traits: [".defaults", "<TraitName>"]) ```

| Trait | Default | Enabled Client | |---|:---:|---| | `DataFoundryService` | No | `DataFoundryServiceClient` | | `DatasetService` | No | `DatasetServiceClient` | | `DeploymentResourcePoolService` | No | `DeploymentResourcePoolServiceClient` | | `EndpointService` | No | `EndpointServiceClient` | | `EvaluationService` | No | `EvaluationServiceClient` | | `FeatureOnlineStoreAdminService` | No | `FeatureOnlineStoreAdminServiceClient` | | `FeatureOnlineStoreService` | No | `FeatureOnlineStoreServiceClient` | | `FeatureRegistryService` | No | `FeatureRegistryServiceClient` | | `FeaturestoreOnlineServingService` | No | `FeaturestoreOnlineServingServiceClient` | | `FeaturestoreService` | No | `FeaturestoreServiceClient` | | `GenAiCacheService` | No | `GenAiCacheServiceClient` | | `GenAiTuningService` | No | `GenAiTuningServiceClient` | | `IndexEndpointService` | No | `IndexEndpointServiceClient` | | `IndexService` | No | `IndexServiceClient` | | `JobService` | No | `JobServiceClient` | | `LlmUtilityService` | No | `LlmUtilityServiceClient` | | `MatchService` | No | `MatchServiceClient` | | `MetadataService` | No | `MetadataServiceClient` | | `MigrationService` | No | `MigrationServiceClient` | | `ModelGardenService` | No | `ModelGardenServiceClient` | | `ModelService` | No | `ModelServiceClient` | | `NotebookService` | No | `NotebookServiceClient` | | `PersistentResourceService` | No | `PersistentResourceServiceClient` | | `PipelineService` | No | `PipelineServiceClient` | | `PredictionService` | Yes | `PredictionServiceClient` | | `ReasoningEngineExecutionService` | No | `ReasoningEngineExecutionServiceClient` | | `ReasoningEngineService` | No | `ReasoningEngineServiceClient` | | `ScheduleService` | No | `ScheduleServiceClient` | | `SessionService` | No | `SessionServiceClient` | | `SpecialistPoolService` | No | `SpecialistPoolServiceClient` | | `TensorboardService` | No | `TensorboardServiceClient` | | `VertexRagDataService` | No | `VertexRagDataServiceClient` | | `VertexRagService` | No | `VertexRagServiceClient` | | `VizierService` | No | `VizierServiceClient` |

## Troubleshooting

For questions, bug reports, or feature requests, please open an issue in the [google-cloud-swift](https://github.com/googleapis/google-cloud-swift/issues) repository.

## Contributing

Contributions to this library are always welcome and highly encouraged.

All development, issues, and pull requests are managed in the [google-cloud-swift](https://github.com/googleapis/google-cloud-swift) monorepo. See [CONTRIBUTING.md](https://github.com/googleapis/google-cloud-swift/blob/main/CONTRIBUTING.md) for details on getting started.

## License

Apache 2.0 - See [LICENSE](LICENSE) for more information.

## Package Metadata

Repository: googleapis/swift-google-cloud-aiplatform-v1

Default branch: main

README: README.md