Google Cloud Gke Recommender V1 Client - Class GkeInferenceQuickstartClient (0.1.0)

use Google\ApiCore\ApiException;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\FetchBenchmarkingDataRequest;
use Google\Cloud\GkeRecommender\V1\FetchBenchmarkingDataResponse;
use Google\Cloud\GkeRecommender\V1\ModelServerInfo;

/**
 * @param string $modelServerInfoModel       The model. Open-source models follow the Huggingface Hub
 *                                           `owner/model_name` format. Use
 *                                           [GkeInferenceQuickstart.FetchModels][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModels]
 *                                           to find available models.
 * @param string $modelServerInfoModelServer The model server. Open-source model servers use simplified,
 *                                           lowercase names (e.g., `vllm`). Use
 *                                           [GkeInferenceQuickstart.FetchModelServers][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModelServers]
 *                                           to find available servers.
 */
function fetch_benchmarking_data_sample(
    string $modelServerInfoModel,
    string $modelServerInfoModelServer
): void {
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $modelServerInfo = (new ModelServerInfo())
        ->setModel($modelServerInfoModel)
        ->setModelServer($modelServerInfoModelServer);
    $request = (new FetchBenchmarkingDataRequest())
        ->setModelServerInfo($modelServerInfo);

    // Call the API and handle any network failures.
    try {
        /** @var FetchBenchmarkingDataResponse $response */
        $response = $gkeInferenceQuickstartClient->fetchBenchmarkingData($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $modelServerInfoModel = '[MODEL]';
    $modelServerInfoModelServer = '[MODEL_SERVER]';

    fetch_benchmarking_data_sample($modelServerInfoModel, $modelServerInfoModelServer);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\FetchModelServerVersionsRequest;

/**
 * @param string $model       The model for which to list model server versions. Open-source
 *                            models follow the Huggingface Hub `owner/model_name` format. Use
 *                            [GkeInferenceQuickstart.FetchModels][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModels]
 *                            to find available models.
 * @param string $modelServer The model server for which to list versions. Open-source model
 *                            servers use simplified, lowercase names (e.g., `vllm`). Use
 *                            [GkeInferenceQuickstart.FetchModelServers][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModelServers]
 *                            to find available model servers.
 */
function fetch_model_server_versions_sample(string $model, string $modelServer): void
{
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $request = (new FetchModelServerVersionsRequest())
        ->setModel($model)
        ->setModelServer($modelServer);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $gkeInferenceQuickstartClient->fetchModelServerVersions($request);

        /** @var string $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element);
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $model = '[MODEL]';
    $modelServer = '[MODEL_SERVER]';

    fetch_model_server_versions_sample($model, $modelServer);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\FetchModelServersRequest;

/**
 * @param string $model The model for which to list model servers. Open-source models
 *                      follow the Huggingface Hub `owner/model_name` format. Use
 *                      [GkeInferenceQuickstart.FetchModels][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModels]
 *                      to find available models.
 */
function fetch_model_servers_sample(string $model): void
{
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $request = (new FetchModelServersRequest())
        ->setModel($model);

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $gkeInferenceQuickstartClient->fetchModelServers($request);

        /** @var string $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element);
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $model = '[MODEL]';

    fetch_model_servers_sample($model);
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\FetchModelsRequest;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function fetch_models_sample(): void
{
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $request = new FetchModelsRequest();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $gkeInferenceQuickstartClient->fetchModels($request);

        /** @var string $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element);
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\FetchProfilesRequest;
use Google\Cloud\GkeRecommender\V1\Profile;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function fetch_profiles_sample(): void
{
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $request = new FetchProfilesRequest();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $gkeInferenceQuickstartClient->fetchProfiles($request);

        /** @var Profile $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

use Google\ApiCore\ApiException;
use Google\Cloud\GkeRecommender\V1\Client\GkeInferenceQuickstartClient;
use Google\Cloud\GkeRecommender\V1\GenerateOptimizedManifestRequest;
use Google\Cloud\GkeRecommender\V1\GenerateOptimizedManifestResponse;
use Google\Cloud\GkeRecommender\V1\ModelServerInfo;

/**
 * @param string $modelServerInfoModel       The model. Open-source models follow the Huggingface Hub
 *                                           `owner/model_name` format. Use
 *                                           [GkeInferenceQuickstart.FetchModels][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModels]
 *                                           to find available models.
 * @param string $modelServerInfoModelServer The model server. Open-source model servers use simplified,
 *                                           lowercase names (e.g., `vllm`). Use
 *                                           [GkeInferenceQuickstart.FetchModelServers][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchModelServers]
 *                                           to find available servers.
 * @param string $acceleratorType            The accelerator type. Use
 *                                           [GkeInferenceQuickstart.FetchProfiles][google.cloud.gkerecommender.v1.GkeInferenceQuickstart.FetchProfiles]
 *                                           to find valid accelerators for a given `model_server_info`.
 */
function generate_optimized_manifest_sample(
    string $modelServerInfoModel,
    string $modelServerInfoModelServer,
    string $acceleratorType
): void {
    // Create a client.
    $gkeInferenceQuickstartClient = new GkeInferenceQuickstartClient();

    // Prepare the request message.
    $modelServerInfo = (new ModelServerInfo())
        ->setModel($modelServerInfoModel)
        ->setModelServer($modelServerInfoModelServer);
    $request = (new GenerateOptimizedManifestRequest())
        ->setModelServerInfo($modelServerInfo)
        ->setAcceleratorType($acceleratorType);

    // Call the API and handle any network failures.
    try {
        /** @var GenerateOptimizedManifestResponse $response */
        $response = $gkeInferenceQuickstartClient->generateOptimizedManifest($request);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * Helper to execute the sample.
 *
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $modelServerInfoModel = '[MODEL]';
    $modelServerInfoModelServer = '[MODEL_SERVER]';
    $acceleratorType = '[ACCELERATOR_TYPE]';

    generate_optimized_manifest_sample(
        $modelServerInfoModel,
        $modelServerInfoModelServer,
        $acceleratorType
    );
}