Auto-generated code for main (#2047)

docs/reference.asciidoc

@@ -6370,6 +6370,7 @@ client.ml.putTrainedModelVocabulary({ model_id, vocabulary })
 ** *`model_id` (string)*: The unique identifier of the trained model.
 ** *`vocabulary` (string[])*: The model vocabulary, which must not be empty.
 ** *`merges` (Optional, string[])*: The optional model merges if required by the tokenizer.
+** *`scores` (Optional, number[])*: The optional vocabulary value scores if required by the tokenizer.
 
 [discrete]
 ==== reset_job

src/api/api/ml.ts

@@ -1923,7 +1923,7 @@ export default class Ml {
   async putTrainedModelVocabulary (this: That, params: T.MlPutTrainedModelVocabularyRequest | TB.MlPutTrainedModelVocabularyRequest, options?: TransportRequestOptions): Promise<T.MlPutTrainedModelVocabularyResponse>
   async putTrainedModelVocabulary (this: That, params: T.MlPutTrainedModelVocabularyRequest | TB.MlPutTrainedModelVocabularyRequest, options?: TransportRequestOptions): Promise<any> {
     const acceptedPath: string[] = ['model_id']
-    const acceptedBody: string[] = ['vocabulary', 'merges']
+    const acceptedBody: string[] = ['vocabulary', 'merges', 'scores']
     const querystring: Record<string, any> = {}
     // @ts-expect-error
     const userBody: any = params?.body

src/api/types.ts

@@ -14051,6 +14051,7 @@ export interface MlPutTrainedModelVocabularyRequest extends RequestBase {
   model_id: Id
   vocabulary: string[]
   merges?: string[]
+  scores?: double[]
 }
 
 export type MlPutTrainedModelVocabularyResponse = AcknowledgedResponseBase

src/api/typesWithBodyKey.ts

@@ -14313,6 +14313,7 @@ export interface MlPutTrainedModelVocabularyRequest extends RequestBase {
   body?: {
     vocabulary: string[]
     merges?: string[]
+    scores?: double[]
   }
 }