From aa9249bf2575678c321010e775027e4068301a89 Mon Sep 17 00:00:00 2001
From: Elastic Machine <elasticmachine@users.noreply.github.com>
Date: Mon, 31 Mar 2025 17:11:34 +0100
Subject: [PATCH] Auto-generated API code (#2688)

---
 docs/reference.asciidoc     |  4 ++--
 src/api/types.ts            | 32 +++++++++++++++++++++++++++++---
 src/api/typesWithBodyKey.ts | 32 +++++++++++++++++++++++++++++---
 3 files changed, 60 insertions(+), 8 deletions(-)

diff --git a/docs/reference.asciidoc b/docs/reference.asciidoc
index 87db4a2e9..9aee853ec 100644
--- a/docs/reference.asciidoc
+++ b/docs/reference.asciidoc
@@ -6850,7 +6850,7 @@ a new date field is added instead of string.
 not used at all by Elasticsearch, but can be used to store
 application-specific metadata.
 ** *`numeric_detection` (Optional, boolean)*: Automatically map strings into numeric data types for all fields.
-** *`properties` (Optional, Record<string, { type } | { boost, fielddata, index, null_value, type } | { type, enabled, null_value, boost, coerce, script, on_script_error, ignore_malformed, time_series_metric, analyzer, eager_global_ordinals, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, format, precision_step, locale } | { relations, eager_global_ordinals, type } | { boost, eager_global_ordinals, index, index_options, script, on_script_error, normalizer, norms, null_value, similarity, split_queries_on_whitespace, time_series_dimension, type } | { type, fields, meta, copy_to } | { type } | { positive_score_impact, type } | { positive_score_impact, type } | { analyzer, index, index_options, max_shingle_size, norms, search_analyzer, search_quote_analyzer, similarity, term_vector, type } | { analyzer, boost, eager_global_ordinals, fielddata, fielddata_frequency_filter, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, similarity, term_vector, type } | { type } | { type, null_value } | { boost, format, ignore_malformed, index, null_value, precision_step, type } | { boost, fielddata, format, ignore_malformed, index, null_value, precision_step, locale, type } | { type, default_metric, metrics, time_series_metric } | { type, dims, element_type, index, index_options, similarity } | { boost, depth_limit, doc_values, eager_global_ordinals, index, index_options, null_value, similarity, split_queries_on_whitespace, type } | { enabled, include_in_parent, include_in_root, type } | { enabled, subobjects, type } | { type, meta, inference_id, search_inference_id } | { type } | { analyzer, contexts, max_input_length, preserve_position_increments, preserve_separators, search_analyzer, type } | { value, type } | { path, type } | { ignore_malformed, type } | { boost, index, ignore_malformed, null_value, on_script_error, script, time_series_dimension, type } | { type } | { analyzer, boost, index, null_value, enable_position_increments, type } | { ignore_malformed, ignore_z_value, null_value, index, on_script_error, script, type } | { coerce, ignore_malformed, ignore_z_value, index, orientation, strategy, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, type } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value, scaling_factor } | { type, null_value } | { type, null_value } | { format, type } | { type } | { type } | { type } | { type } | { type } | { type, norms, index_options, index, null_value, rules, language, country, variant, strength, decomposition, alternate, case_level, case_first, numeric, variable_top, hiragana_quaternary_mode }>)*: Mapping for a field. For new fields, this mapping can include:
+** *`properties` (Optional, Record<string, { type } | { boost, fielddata, index, null_value, ignore_malformed, script, on_script_error, time_series_dimension, type } | { type, enabled, null_value, boost, coerce, script, on_script_error, ignore_malformed, time_series_metric, analyzer, eager_global_ordinals, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, format, precision_step, locale } | { relations, eager_global_ordinals, type } | { boost, eager_global_ordinals, index, index_options, script, on_script_error, normalizer, norms, null_value, similarity, split_queries_on_whitespace, time_series_dimension, type } | { type, fields, meta, copy_to } | { type } | { positive_score_impact, type } | { positive_score_impact, type } | { analyzer, index, index_options, max_shingle_size, norms, search_analyzer, search_quote_analyzer, similarity, term_vector, type } | { analyzer, boost, eager_global_ordinals, fielddata, fielddata_frequency_filter, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, similarity, term_vector, type } | { type } | { type, null_value } | { boost, format, ignore_malformed, index, null_value, precision_step, type } | { boost, fielddata, format, ignore_malformed, index, null_value, precision_step, locale, type } | { type, default_metric, metrics, time_series_metric } | { type, dims, element_type, index, index_options, similarity } | { boost, depth_limit, doc_values, eager_global_ordinals, index, index_options, null_value, similarity, split_queries_on_whitespace, type } | { enabled, include_in_parent, include_in_root, type } | { enabled, subobjects, type } | { type, meta, inference_id, search_inference_id } | { type } | { analyzer, contexts, max_input_length, preserve_position_increments, preserve_separators, search_analyzer, type } | { value, type } | { path, type } | { ignore_malformed, type } | { boost, index, ignore_malformed, null_value, on_script_error, script, time_series_dimension, type } | { type } | { analyzer, boost, index, null_value, enable_position_increments, type } | { ignore_malformed, ignore_z_value, null_value, index, on_script_error, script, type } | { coerce, ignore_malformed, ignore_z_value, index, orientation, strategy, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, type } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value, scaling_factor } | { type, null_value } | { type, null_value } | { format, type } | { type } | { type } | { type } | { type } | { type } | { type, norms, index_options, index, null_value, rules, language, country, variant, strength, decomposition, alternate, case_level, case_first, numeric, variable_top, hiragana_quaternary_mode }>)*: Mapping for a field. For new fields, this mapping can include:
 
 - Field name
 - Field data type
@@ -9712,7 +9712,7 @@ specified.
 ** *`definition` (Optional, { preprocessors, trained_model })*: The inference definition for the model. If definition is specified, then
 compressed_definition cannot be specified.
 ** *`description` (Optional, string)*: A human-readable description of the inference trained model.
-** *`inference_config` (Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, ner, pass_through, text_embedding, text_expansion, question_answering })*: The default configuration for inference. This can be either a regression
+** *`inference_config` (Optional, { regression, classification, text_classification, zero_shot_classification, fill_mask, learning_to_rank, ner, pass_through, text_embedding, text_expansion, question_answering })*: The default configuration for inference. This can be either a regression
 or classification configuration. It must match the underlying
 definition.trained_model's target_type. For pre-packaged models such as
 ELSER the config is not required.
diff --git a/src/api/types.ts b/src/api/types.ts
index 552b11dbd..c37ab2e7f 100644
--- a/src/api/types.ts
+++ b/src/api/types.ts
@@ -5297,6 +5297,10 @@ export interface MappingBooleanProperty extends MappingDocValuesPropertyBase {
   fielddata?: IndicesNumericFielddata
   index?: boolean
   null_value?: boolean
+  ignore_malformed?: boolean
+  script?: Script | string
+  on_script_error?: MappingOnScriptError
+  time_series_dimension?: boolean
   type: 'boolean'
 }
 
@@ -10165,10 +10169,11 @@ export interface EnrichDeletePolicyRequest extends RequestBase {
 
 export type EnrichDeletePolicyResponse = AcknowledgedResponseBase
 
-export type EnrichExecutePolicyEnrichPolicyPhase = 'SCHEDULED' | 'RUNNING' | 'COMPLETE' | 'FAILED'
+export type EnrichExecutePolicyEnrichPolicyPhase = 'SCHEDULED' | 'RUNNING' | 'COMPLETE' | 'FAILED' | 'CANCELLED'
 
 export interface EnrichExecutePolicyExecuteEnrichPolicyStatus {
   phase: EnrichExecutePolicyEnrichPolicyPhase
+  step?: string
 }
 
 export interface EnrichExecutePolicyRequest extends RequestBase {
@@ -10178,7 +10183,7 @@ export interface EnrichExecutePolicyRequest extends RequestBase {
 
 export interface EnrichExecutePolicyResponse {
   status?: EnrichExecutePolicyExecuteEnrichPolicyStatus
-  task_id?: TaskId
+  task?: TaskId
 }
 
 export interface EnrichGetPolicyRequest extends RequestBase {
@@ -12674,7 +12679,7 @@ export type InferenceDenseByteVector = byte[]
 
 export type InferenceDenseVector = float[]
 
-export interface InferenceInferenceChunkingSettings extends InferenceInferenceEndpoint {
+export interface InferenceInferenceChunkingSettings {
   max_chunk_size?: integer
   overlap?: integer
   sentence_overlap?: integer
@@ -14269,6 +14274,8 @@ export interface MlExponentialAverageCalculationContext {
   previous_exponential_average_ms?: DurationValue<UnitFloatMillis>
 }
 
+export type MlFeatureExtractor = MlQueryFeatureExtractor
+
 export interface MlFillMaskInferenceOptions {
   mask_token?: string
   num_top_classes?: integer
@@ -14334,6 +14341,7 @@ export interface MlInferenceConfigCreateContainer {
   text_classification?: MlTextClassificationInferenceOptions
   zero_shot_classification?: MlZeroShotClassificationInferenceOptions
   fill_mask?: MlFillMaskInferenceOptions
+  learning_to_rank?: MlLearningToRankConfig
   ner?: MlNerInferenceOptions
   pass_through?: MlPassThroughInferenceOptions
   text_embedding?: MlTextEmbeddingInferenceOptions
@@ -14480,6 +14488,12 @@ export interface MlJobTimingStats {
   minimum_bucket_processing_time_ms?: DurationValue<UnitFloatMillis>
 }
 
+export interface MlLearningToRankConfig {
+  default_params?: Record<string, any>
+  feature_extractors?: Record<string, MlFeatureExtractor>[]
+  num_top_feature_importance_values: integer
+}
+
 export type MlMemoryStatus = 'ok' | 'soft_limit' | 'hard_limit'
 
 export interface MlModelPackageConfig {
@@ -14622,6 +14636,12 @@ export interface MlPerPartitionCategorization {
 
 export type MlPredictedValue = ScalarValue | ScalarValue[]
 
+export interface MlQueryFeatureExtractor {
+  default_score?: float
+  feature_name: string
+  query: QueryDslQueryContainer
+}
+
 export interface MlQuestionAnsweringInferenceOptions {
   num_top_classes?: integer
   tokenization?: MlTokenizationConfigContainer
@@ -14666,6 +14686,7 @@ export interface MlTextClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   results_field?: string
   classification_labels?: string[]
+  vocabulary?: MlVocabulary
 }
 
 export interface MlTextClassificationInferenceUpdateOptions {
@@ -14708,6 +14729,7 @@ export interface MlTokenizationConfigContainer {
   bert_ja?: MlNlpBertTokenizationConfig
   mpnet?: MlNlpBertTokenizationConfig
   roberta?: MlNlpRobertaTokenizationConfig
+  xlm_roberta?: MlXlmRobertaTokenizationConfig
 }
 
 export type MlTokenizationTruncate = 'first' | 'second' | 'none'
@@ -14785,6 +14807,7 @@ export interface MlTrainedModelConfig {
   model_size_bytes?: ByteSize
   model_package?: MlModelPackageConfig
   location?: MlTrainedModelLocation
+  platform_architecture?: string
   prefix_strings?: MlTrainedModelPrefixStrings
 }
 
@@ -14920,6 +14943,9 @@ export interface MlVocabulary {
   index: IndexName
 }
 
+export interface MlXlmRobertaTokenizationConfig extends MlCommonTokenizationConfig {
+}
+
 export interface MlZeroShotClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   hypothesis_template?: string
diff --git a/src/api/typesWithBodyKey.ts b/src/api/typesWithBodyKey.ts
index 3d667c22e..721119f5b 100644
--- a/src/api/typesWithBodyKey.ts
+++ b/src/api/typesWithBodyKey.ts
@@ -5374,6 +5374,10 @@ export interface MappingBooleanProperty extends MappingDocValuesPropertyBase {
   fielddata?: IndicesNumericFielddata
   index?: boolean
   null_value?: boolean
+  ignore_malformed?: boolean
+  script?: Script | string
+  on_script_error?: MappingOnScriptError
+  time_series_dimension?: boolean
   type: 'boolean'
 }
 
@@ -10330,10 +10334,11 @@ export interface EnrichDeletePolicyRequest extends RequestBase {
 
 export type EnrichDeletePolicyResponse = AcknowledgedResponseBase
 
-export type EnrichExecutePolicyEnrichPolicyPhase = 'SCHEDULED' | 'RUNNING' | 'COMPLETE' | 'FAILED'
+export type EnrichExecutePolicyEnrichPolicyPhase = 'SCHEDULED' | 'RUNNING' | 'COMPLETE' | 'FAILED' | 'CANCELLED'
 
 export interface EnrichExecutePolicyExecuteEnrichPolicyStatus {
   phase: EnrichExecutePolicyEnrichPolicyPhase
+  step?: string
 }
 
 export interface EnrichExecutePolicyRequest extends RequestBase {
@@ -10343,7 +10348,7 @@ export interface EnrichExecutePolicyRequest extends RequestBase {
 
 export interface EnrichExecutePolicyResponse {
   status?: EnrichExecutePolicyExecuteEnrichPolicyStatus
-  task_id?: TaskId
+  task?: TaskId
 }
 
 export interface EnrichGetPolicyRequest extends RequestBase {
@@ -12914,7 +12919,7 @@ export type InferenceDenseByteVector = byte[]
 
 export type InferenceDenseVector = float[]
 
-export interface InferenceInferenceChunkingSettings extends InferenceInferenceEndpoint {
+export interface InferenceInferenceChunkingSettings {
   max_chunk_size?: integer
   overlap?: integer
   sentence_overlap?: integer
@@ -14531,6 +14536,8 @@ export interface MlExponentialAverageCalculationContext {
   previous_exponential_average_ms?: DurationValue<UnitFloatMillis>
 }
 
+export type MlFeatureExtractor = MlQueryFeatureExtractor
+
 export interface MlFillMaskInferenceOptions {
   mask_token?: string
   num_top_classes?: integer
@@ -14596,6 +14603,7 @@ export interface MlInferenceConfigCreateContainer {
   text_classification?: MlTextClassificationInferenceOptions
   zero_shot_classification?: MlZeroShotClassificationInferenceOptions
   fill_mask?: MlFillMaskInferenceOptions
+  learning_to_rank?: MlLearningToRankConfig
   ner?: MlNerInferenceOptions
   pass_through?: MlPassThroughInferenceOptions
   text_embedding?: MlTextEmbeddingInferenceOptions
@@ -14742,6 +14750,12 @@ export interface MlJobTimingStats {
   minimum_bucket_processing_time_ms?: DurationValue<UnitFloatMillis>
 }
 
+export interface MlLearningToRankConfig {
+  default_params?: Record<string, any>
+  feature_extractors?: Record<string, MlFeatureExtractor>[]
+  num_top_feature_importance_values: integer
+}
+
 export type MlMemoryStatus = 'ok' | 'soft_limit' | 'hard_limit'
 
 export interface MlModelPackageConfig {
@@ -14884,6 +14898,12 @@ export interface MlPerPartitionCategorization {
 
 export type MlPredictedValue = ScalarValue | ScalarValue[]
 
+export interface MlQueryFeatureExtractor {
+  default_score?: float
+  feature_name: string
+  query: QueryDslQueryContainer
+}
+
 export interface MlQuestionAnsweringInferenceOptions {
   num_top_classes?: integer
   tokenization?: MlTokenizationConfigContainer
@@ -14928,6 +14948,7 @@ export interface MlTextClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   results_field?: string
   classification_labels?: string[]
+  vocabulary?: MlVocabulary
 }
 
 export interface MlTextClassificationInferenceUpdateOptions {
@@ -14970,6 +14991,7 @@ export interface MlTokenizationConfigContainer {
   bert_ja?: MlNlpBertTokenizationConfig
   mpnet?: MlNlpBertTokenizationConfig
   roberta?: MlNlpRobertaTokenizationConfig
+  xlm_roberta?: MlXlmRobertaTokenizationConfig
 }
 
 export type MlTokenizationTruncate = 'first' | 'second' | 'none'
@@ -15047,6 +15069,7 @@ export interface MlTrainedModelConfig {
   model_size_bytes?: ByteSize
   model_package?: MlModelPackageConfig
   location?: MlTrainedModelLocation
+  platform_architecture?: string
   prefix_strings?: MlTrainedModelPrefixStrings
 }
 
@@ -15182,6 +15205,9 @@ export interface MlVocabulary {
   index: IndexName
 }
 
+export interface MlXlmRobertaTokenizationConfig extends MlCommonTokenizationConfig {
+}
+
 export interface MlZeroShotClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   hypothesis_template?: string