Auto-generated API code

Author: elasticmachine

docs/reference.asciidoc

@@ -8495,7 +8495,7 @@ client.inference.putCustom({ task_type, custom_inference_id, service, service_se
 ** *`task_type` (Enum("text_embedding" | "sparse_embedding" | "rerank" | "completion"))*: The type of the inference task that the model will perform.
 ** *`custom_inference_id` (string)*: The unique identifier of the inference endpoint.
 ** *`service` (Enum("custom"))*: The type of service supported for the specified task type. In this case, `custom`.
-** *`service_settings` ({ headers, input_type, query_parameters, request, response, secret_parameters, url })*: Settings used to install the inference model.
+** *`service_settings` ({ batch_size, headers, input_type, query_parameters, request, response, secret_parameters, url })*: Settings used to install the inference model.
 These settings are specific to the `custom` service.
 ** *`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })*: The chunking configuration object.
 ** *`task_settings` (Optional, { parameters })*: Settings to configure the inference task.

src/api/types.ts

@@ -5034,7 +5034,7 @@ export interface AnalysisKeywordTokenizer extends AnalysisTokenizerBase {
 
 export interface AnalysisKuromojiAnalyzer {
   type: 'kuromoji'
-  mode: AnalysisKuromojiTokenizationMode
+  mode?: AnalysisKuromojiTokenizationMode
   user_dictionary?: string
 }
 
@@ -13645,6 +13645,7 @@ export interface InferenceCustomResponseParams {
 }
 
 export interface InferenceCustomServiceSettings {
+  batch_size?: integer
   headers?: any
   input_type?: any
   query_parameters?: any

src/api/typesWithBodyKey.ts

@@ -5111,7 +5111,7 @@ export interface AnalysisKeywordTokenizer extends AnalysisTokenizerBase {
 
 export interface AnalysisKuromojiAnalyzer {
   type: 'kuromoji'
-  mode: AnalysisKuromojiTokenizationMode
+  mode?: AnalysisKuromojiTokenizationMode
   user_dictionary?: string
 }
 
@@ -13889,6 +13889,7 @@ export interface InferenceCustomResponseParams {
 }
 
 export interface InferenceCustomServiceSettings {
+  batch_size?: integer
   headers?: any
   input_type?: any
   query_parameters?: any