Auto-generated API code

Author: elasticmachine

src/Endpoints/Inference.php

@@ -1155,6 +1155,48 @@ public function putMistral(?array $params = null)
 	}
 
 
+	/**
+	 * Create an Nvidia inference endpoint
+	 *
+	 * @link https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-nvidia
+	 *
+	 * @param array{
+	 *     task_type: string, // (REQUIRED) The task type
+	 *     nvidia_inference_id: string, // (REQUIRED) The inference ID
+	 *     timeout?: int|string, // Specifies the amount of time to wait for the inference endpoint to be created.
+	 *     pretty?: bool, // Pretty format the returned JSON response. (DEFAULT: false)
+	 *     human?: bool, // Return human readable values for statistics. (DEFAULT: true)
+	 *     error_trace?: bool, // Include the stack trace of returned errors. (DEFAULT: false)
+	 *     source?: string, // The URL-encoded request definition. Useful for libraries that do not accept a request body for non-POST requests.
+	 *     filter_path?: string|array<string>, // A comma-separated list of filters used to reduce the response.
+	 *     body: string|array<mixed>, // (REQUIRED) The inference endpoint's task and service settings. If body is a string must be a valid JSON.
+	 * } $params
+	 *
+	 * @throws MissingParameterException if a required parameter is missing
+	 * @throws NoNodeAvailableException if all the hosts are offline
+	 * @throws ClientResponseException if the status code of response is 4xx
+	 * @throws ServerResponseException if the status code of response is 5xx
+	 *
+	 * @return Elasticsearch|Promise
+	 */
+	public function putNvidia(?array $params = null)
+	{
+		$params = $params ?? [];
+		$this->checkRequiredParameters(['task_type','nvidia_inference_id','body'], $params);
+		$url = '/_inference/' . $this->encode($params['task_type']) . '/' . $this->encode($params['nvidia_inference_id']);
+		$method = 'PUT';
+
+		$url = $this->addQueryString($url, $params, ['timeout','pretty','human','error_trace','source','filter_path']);
+		$headers = [
+			'Accept' => 'application/json',
+			'Content-Type' => 'application/json',
+		];
+		$request = $this->createRequest($method, $url, $headers, $params['body'] ?? null);
+		$request = $this->addOtelAttributes($params, ['task_type', 'nvidia_inference_id'], $request, 'inference.put_nvidia');
+		return $this->client->sendRequest($request);
+	}
+
+
 	/**
 	 * Create an OpenAI inference endpoint
 	 *

src/Endpoints/Ml.php

@@ -2693,6 +2693,7 @@ public function stopDataFrameAnalytics(?array $params = null)
 	 *     datafeed_id: string, // (REQUIRED) The ID of the datafeed to stop
 	 *     allow_no_match?: bool, // Whether to ignore if a wildcard expression matches no datafeeds. (This includes `_all` string or when no datafeeds have been specified)
 	 *     force?: bool, // True if the datafeed should be forcefully stopped.
+	 *     close_job?: bool, // True if the job associated with the datafeed should be closed.
 	 *     timeout?: int|string, // Controls the time to wait until a datafeed has stopped. Default to 20 seconds
 	 *     pretty?: bool, // Pretty format the returned JSON response. (DEFAULT: false)
 	 *     human?: bool, // Return human readable values for statistics. (DEFAULT: true)
@@ -2716,7 +2717,7 @@ public function stopDatafeed(?array $params = null)
 		$url = '/_ml/datafeeds/' . $this->encode($params['datafeed_id']) . '/_stop';
 		$method = 'POST';
 
-		$url = $this->addQueryString($url, $params, ['allow_no_match','force','timeout','pretty','human','error_trace','source','filter_path']);
+		$url = $this->addQueryString($url, $params, ['allow_no_match','force','close_job','timeout','pretty','human','error_trace','source','filter_path']);
 		$headers = [
 			'Accept' => 'application/json',
 			'Content-Type' => 'application/json',