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<?php /* * Copyright 2014 Google Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); you may not * use this file except in compliance with the License. You may obtain a copy of * the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations under * the License. */ namespace Google\Service\Aiplatform\Resource; use Google\Service\Aiplatform\GoogleCloudAiplatformV1ComputeTokensRequest; use Google\Service\Aiplatform\GoogleCloudAiplatformV1ComputeTokensResponse; use Google\Service\Aiplatform\GoogleCloudAiplatformV1CountTokensRequest; use Google\Service\Aiplatform\GoogleCloudAiplatformV1CountTokensResponse; use Google\Service\Aiplatform\GoogleCloudAiplatformV1GenerateContentRequest; use Google\Service\Aiplatform\GoogleCloudAiplatformV1GenerateContentResponse; use Google\Service\Aiplatform\GoogleCloudAiplatformV1PredictRequest; use Google\Service\Aiplatform\GoogleCloudAiplatformV1PredictResponse; /** * The "endpoints" collection of methods. * Typical usage is: * <code> * $aiplatformService = new Google\Service\Aiplatform(...); * $endpoints = $aiplatformService->endpoints; * </code> */ class Endpoints extends \Google\Service\Resource { /** * Return a list of tokens based on the input text. (endpoints.computeTokens) * * @param string $endpoint Required. The name of the Endpoint requested to get * lists of tokens and token ids. * @param GoogleCloudAiplatformV1ComputeTokensRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1ComputeTokensResponse * @throws \Google\Service\Exception */ public function computeTokens($endpoint, GoogleCloudAiplatformV1ComputeTokensRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('computeTokens', [$params], GoogleCloudAiplatformV1ComputeTokensResponse::class); } /** * Perform a token counting. (endpoints.countTokens) * * @param string $endpoint Required. The name of the Endpoint requested to * perform token counting. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` * @param GoogleCloudAiplatformV1CountTokensRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1CountTokensResponse * @throws \Google\Service\Exception */ public function countTokens($endpoint, GoogleCloudAiplatformV1CountTokensRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('countTokens', [$params], GoogleCloudAiplatformV1CountTokensResponse::class); } /** * Generate content with multimodal inputs. (endpoints.generateContent) * * @param 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}` * @param GoogleCloudAiplatformV1GenerateContentRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1GenerateContentResponse * @throws \Google\Service\Exception */ public function generateContent($model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, $optParams = []) { $params = ['model' => $model, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('generateContent', [$params], GoogleCloudAiplatformV1GenerateContentResponse::class); } /** * Perform an online prediction. (endpoints.predict) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` * @param GoogleCloudAiplatformV1PredictRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1PredictResponse * @throws \Google\Service\Exception */ public function predict($endpoint, GoogleCloudAiplatformV1PredictRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('predict', [$params], GoogleCloudAiplatformV1PredictResponse::class); } /** * Generate content with multimodal inputs with streaming support. * (endpoints.streamGenerateContent) * * @param 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}` * @param GoogleCloudAiplatformV1GenerateContentRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1GenerateContentResponse * @throws \Google\Service\Exception */ public function streamGenerateContent($model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, $optParams = []) { $params = ['model' => $model, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('streamGenerateContent', [$params], GoogleCloudAiplatformV1GenerateContentResponse::class); } } // Adding a class alias for backwards compatibility with the previous class name. class_alias(Endpoints::class, 'Google_Service_Aiplatform_Resource_Endpoints');
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