* $aiplatformService = new Google\Service\Aiplatform(...); * $models = $aiplatformService->projects_locations_publishers_models; * */ class ProjectsLocationsPublishersModels extends \Google\Service\Resource { /** * Return a list of tokens based on the input text. (models.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. (models.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); } /** * Fetch an asynchronous online prediction operation. * (models.fetchPredictOperation) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` or `projects/{ * project}/locations/{location}/publishers/{publisher}/models/{model}` * @param GoogleCloudAiplatformV1FetchPredictOperationRequest $postBody * @param array $optParams Optional parameters. * @return GoogleLongrunningOperation * @throws \Google\Service\Exception */ public function fetchPredictOperation($endpoint, GoogleCloudAiplatformV1FetchPredictOperationRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('fetchPredictOperation', [$params], GoogleLongrunningOperation::class); } /** * Generate content with multimodal inputs. (models.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. (models.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); } /** * (models.predictLongRunning) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` or `projects/{ * project}/locations/{location}/publishers/{publisher}/models/{model}` * @param GoogleCloudAiplatformV1PredictLongRunningRequest $postBody * @param array $optParams Optional parameters. * @return GoogleLongrunningOperation * @throws \Google\Service\Exception */ public function predictLongRunning($endpoint, GoogleCloudAiplatformV1PredictLongRunningRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('predictLongRunning', [$params], GoogleLongrunningOperation::class); } /** * 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. * (models.rawPredict) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` * @param GoogleCloudAiplatformV1RawPredictRequest $postBody * @param array $optParams Optional parameters. * @return GoogleApiHttpBody * @throws \Google\Service\Exception */ public function rawPredict($endpoint, GoogleCloudAiplatformV1RawPredictRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('rawPredict', [$params], GoogleApiHttpBody::class); } /** * Perform a server-side streaming online prediction request for Vertex LLM * streaming. (models.serverStreamingPredict) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` * @param GoogleCloudAiplatformV1StreamingPredictRequest $postBody * @param array $optParams Optional parameters. * @return GoogleCloudAiplatformV1StreamingPredictResponse * @throws \Google\Service\Exception */ public function serverStreamingPredict($endpoint, GoogleCloudAiplatformV1StreamingPredictRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('serverStreamingPredict', [$params], GoogleCloudAiplatformV1StreamingPredictResponse::class); } /** * Generate content with multimodal inputs with streaming support. * (models.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); } /** * Perform a streaming online prediction with an arbitrary HTTP payload. * (models.streamRawPredict) * * @param string $endpoint Required. The name of the Endpoint requested to serve * the prediction. Format: * `projects/{project}/locations/{location}/endpoints/{endpoint}` * @param GoogleCloudAiplatformV1StreamRawPredictRequest $postBody * @param array $optParams Optional parameters. * @return GoogleApiHttpBody * @throws \Google\Service\Exception */ public function streamRawPredict($endpoint, GoogleCloudAiplatformV1StreamRawPredictRequest $postBody, $optParams = []) { $params = ['endpoint' => $endpoint, 'postBody' => $postBody]; $params = array_merge($params, $optParams); return $this->call('streamRawPredict', [$params], GoogleApiHttpBody::class); } } // Adding a class alias for backwards compatibility with the previous class name. class_alias(ProjectsLocationsPublishersModels::class, 'Google_Service_Aiplatform_Resource_ProjectsLocationsPublishersModels');