Auto-generated code for 8.18

docs/reference.asciidoc

@@ -2479,7 +2479,6 @@ A partial reduction is performed every time the coordinating node has received a
 ** *`ignore_unavailable` (Optional, boolean)*: Whether specified concrete indices should be ignored when unavailable (missing or closed)
 ** *`lenient` (Optional, boolean)*: Specify whether format-based query failures (such as providing text to a numeric field) should be ignored
 ** *`max_concurrent_shard_requests` (Optional, number)*: The number of concurrent shard requests per node this search executes concurrently. This value should be used to limit the impact of the search on the cluster in order to limit the number of concurrent shard requests
-** *`min_compatible_shard_node` (Optional, string)*
 ** *`preference` (Optional, string)*: Specify the node or shard the operation should be performed on (default: random)
 ** *`request_cache` (Optional, boolean)*: Specify if request cache should be used for this request or not, defaults to true
 ** *`routing` (Optional, string)*: A list of specific routing values
@@ -2622,9 +2621,6 @@ It supports a list of values, such as `open,hidden`.
 local cluster state. If `false` the list of selected nodes are computed
 from the cluster state of the master node. In both cases the coordinating
 node will send requests for further information to each selected node.
-** *`master_timeout` (Optional, string | -1 | 0)*: The period to wait for a connection to the master node.
-If the master node is not available before the timeout expires, the request fails and returns an error.
-To indicated that the request should never timeout, you can set it to `-1`.
 
 [discrete]
 ==== allocation
@@ -8317,6 +8313,17 @@ These settings are specific to the `cohere` service.
 These settings are specific to the task type you specified.
 ** *`timeout` (Optional, string | -1 | 0)*: Specifies the amount of time to wait for the inference endpoint to be created.
 
+[discrete]
+==== put_custom
+Configure a custom inference endpoint
+
+https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-custom[Endpoint documentation]
+[source,ts]
+----
+client.inference.putCustom()
+----
+
+
 [discrete]
 ==== put_elasticsearch
 Create an Elasticsearch inference endpoint.

src/api/api/inference.ts

@@ -576,6 +576,39 @@ export default class Inference {
     return await this.transport.request({ path, method, querystring, body, meta }, options)
   }
 
+  /**
+    * Configure a custom inference endpoint
+    * @see {@link https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-custom | Elasticsearch API documentation}
+    */
+  async putCustom (this: That, params?: T.TODO | TB.TODO, options?: TransportRequestOptionsWithOutMeta): Promise<T.TODO>
+  async putCustom (this: That, params?: T.TODO | TB.TODO, options?: TransportRequestOptionsWithMeta): Promise<TransportResult<T.TODO, unknown>>
+  async putCustom (this: That, params?: T.TODO | TB.TODO, options?: TransportRequestOptions): Promise<T.TODO>
+  async putCustom (this: That, params?: T.TODO | TB.TODO, options?: TransportRequestOptions): Promise<any> {
+    const acceptedPath: string[] = ['task_type', 'custom_inference_id']
+    const querystring: Record<string, any> = {}
+    const body = undefined
+
+    params = params ?? {}
+    for (const key in params) {
+      if (acceptedPath.includes(key)) {
+        continue
+      } else if (key !== 'body') {
+        querystring[key] = params[key]
+      }
+    }
+
+    const method = 'PUT'
+    const path = `/_inference/${encodeURIComponent(params.task_type.toString())}/${encodeURIComponent(params.custom_inference_id.toString())}`
+    const meta: TransportRequestMetadata = {
+      name: 'inference.put_custom',
+      pathParts: {
+        task_type: params.task_type,
+        custom_inference_id: params.custom_inference_id
+      }
+    }
+    return await this.transport.request({ path, method, querystring, body, meta }, options)
+  }
+
   /**
     * Create an Elasticsearch inference endpoint. Create an inference endpoint to perform an inference task with the `elasticsearch` service. > info > Your Elasticsearch deployment contains preconfigured ELSER and E5 inference endpoints, you only need to create the enpoints using the API if you want to customize the settings. If you use the ELSER or the E5 model through the `elasticsearch` service, the API request will automatically download and deploy the model if it isn't downloaded yet. > info > You might see a 502 bad gateway error in the response when using the Kibana Console. This error usually just reflects a timeout, while the model downloads in the background. You can check the download progress in the Machine Learning UI. If using the Python client, you can set the timeout parameter to a higher value. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for `"state": "fully_allocated"` in the response and ensure that the `"allocation_count"` matches the `"target_allocation_count"`. Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.
     * @see {@link https://www.elastic.co/guide/en/elasticsearch/reference/8.18/infer-service-elasticsearch.html | Elasticsearch API documentation}

src/api/types.ts

@@ -3489,9 +3489,10 @@ export interface AggregationsFiltersAggregation extends AggregationsBucketAggreg
 }
 
 export interface AggregationsFiltersBucketKeys extends AggregationsMultiBucketBase {
+  key?: string
 }
 export type AggregationsFiltersBucket = AggregationsFiltersBucketKeys
-& { [property: string]: AggregationsAggregate | long }
+& { [property: string]: AggregationsAggregate | string | long }
 
 export interface AggregationsFormatMetricAggregationBase extends AggregationsMetricAggregationBase {
   format?: string
@@ -4657,7 +4658,7 @@ export interface AnalysisEdgeNGramTokenizer extends AnalysisTokenizerBase {
   custom_token_chars?: string
   max_gram?: integer
   min_gram?: integer
-  token_chars?: string | AnalysisTokenChar[]
+  token_chars?: AnalysisTokenChar[]
 }
 
 export interface AnalysisElisionTokenFilter extends AnalysisTokenFilterBase {
@@ -6933,7 +6934,6 @@ export interface AsyncSearchSubmitRequest extends RequestBase {
   ignore_unavailable?: boolean
   lenient?: boolean
   max_concurrent_shard_requests?: long
-  min_compatible_shard_node?: VersionString
   preference?: string
   request_cache?: boolean
   routing?: Routing
@@ -7122,7 +7122,6 @@ export interface CatAliasesRequest extends CatCatRequestBase {
   s?: Names
   expand_wildcards?: ExpandWildcards
   local?: boolean
-  master_timeout?: Duration
 }
 
 export type CatAliasesResponse = CatAliasesAliasesRecord[]

src/api/typesWithBodyKey.ts

@@ -3566,9 +3566,10 @@ export interface AggregationsFiltersAggregation extends AggregationsBucketAggreg
 }
 
 export interface AggregationsFiltersBucketKeys extends AggregationsMultiBucketBase {
+  key?: string
 }
 export type AggregationsFiltersBucket = AggregationsFiltersBucketKeys
-& { [property: string]: AggregationsAggregate | long }
+& { [property: string]: AggregationsAggregate | string | long }
 
 export interface AggregationsFormatMetricAggregationBase extends AggregationsMetricAggregationBase {
   format?: string
@@ -4734,7 +4735,7 @@ export interface AnalysisEdgeNGramTokenizer extends AnalysisTokenizerBase {
   custom_token_chars?: string
   max_gram?: integer
   min_gram?: integer
-  token_chars?: string | AnalysisTokenChar[]
+  token_chars?: AnalysisTokenChar[]
 }
 
 export interface AnalysisElisionTokenFilter extends AnalysisTokenFilterBase {
@@ -7010,7 +7011,6 @@ export interface AsyncSearchSubmitRequest extends RequestBase {
   ignore_unavailable?: boolean
   lenient?: boolean
   max_concurrent_shard_requests?: long
-  min_compatible_shard_node?: VersionString
   preference?: string
   request_cache?: boolean
   routing?: Routing
@@ -7203,7 +7203,6 @@ export interface CatAliasesRequest extends CatCatRequestBase {
   s?: Names
   expand_wildcards?: ExpandWildcards
   local?: boolean
-  master_timeout?: Duration
 }
 
 export type CatAliasesResponse = CatAliasesAliasesRecord[]