Auto-generated API code

docs/reference.asciidoc

@@ -6302,6 +6302,13 @@ ELSER the config is not required.
 ** *`model_size_bytes` (Optional, number)*: The estimated memory usage in bytes to keep the trained model in memory.
 This property is supported only if defer_definition_decompression is true
 or the model definition is not supplied.
+** *`platform_architecture` (Optional, string)*: The platform architecture (if applicable) of the trained mode. If the model
+only works on one platform, because it is heavily optimized for a particular
+processor architecture and OS combination, then this field specifies which.
+The format of the string must match the platform identifiers used by Elasticsearch,
+so one of, `linux-x86_64`, `linux-aarch64`, `darwin-x86_64`, `darwin-aarch64`,
+or `windows-x86_64`. For portable models (those that work independent of processor
+architecture or OS features), leave this field unset.
 ** *`tags` (Optional, string[])*: An array of tags to organize the model.
 ** *`defer_definition_decompression` (Optional, boolean)*: If set to `true` and a `compressed_definition` is provided, the request defers definition decompression and skips relevant validations.
 

src/api/api/ml.ts

@@ -1821,7 +1821,7 @@ export default class Ml {
   async putTrainedModel (this: That, params: T.MlPutTrainedModelRequest | TB.MlPutTrainedModelRequest, options?: TransportRequestOptions): Promise<T.MlPutTrainedModelResponse>
   async putTrainedModel (this: That, params: T.MlPutTrainedModelRequest | TB.MlPutTrainedModelRequest, options?: TransportRequestOptions): Promise<any> {
     const acceptedPath: string[] = ['model_id']
-    const acceptedBody: string[] = ['compressed_definition', 'definition', 'description', 'inference_config', 'input', 'metadata', 'model_type', 'model_size_bytes', 'tags']
+    const acceptedBody: string[] = ['compressed_definition', 'definition', 'description', 'inference_config', 'input', 'metadata', 'model_type', 'model_size_bytes', 'platform_architecture', 'tags']
     const querystring: Record<string, any> = {}
     // @ts-expect-error
     const userBody: any = params?.body

src/api/types.ts

@@ -13977,6 +13977,7 @@ export interface MlPutTrainedModelRequest extends RequestBase {
   metadata?: any
   model_type?: MlTrainedModelType
   model_size_bytes?: long
+  platform_architecture?: string
   tags?: string[]
 }
 

src/api/typesWithBodyKey.ts

@@ -14233,6 +14233,7 @@ export interface MlPutTrainedModelRequest extends RequestBase {
     metadata?: any
     model_type?: MlTrainedModelType
     model_size_bytes?: long
+    platform_architecture?: string
     tags?: string[]
   }
 }