Auto-generated code for 8.16

docs/reference.asciidoc

@@ -5153,7 +5153,7 @@ 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, element_type, dims, similarity, index, index_options } | { 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 } | { 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, 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, element_type, dims, similarity, index, index_options } | { 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 } | { 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, 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
@@ -7680,7 +7680,7 @@ 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.

src/api/types.ts

@@ -5284,6 +5284,10 @@ 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'
 }
 
@@ -10062,10 +10066,11 @@ 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 {
@@ -10075,7 +10080,7 @@ export interface EnrichExecutePolicyRequest extends RequestBase {
 
 export interface EnrichExecutePolicyResponse {
   status?: EnrichExecutePolicyExecuteEnrichPolicyStatus
-  task_id?: TaskId
+  task?: TaskId
 }
 
 export interface EnrichGetPolicyRequest extends RequestBase {
@@ -12507,7 +12512,7 @@ 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
@@ -14085,6 +14090,8 @@ export interface MlExponentialAverageCalculationContext {
   previous_exponential_average_ms?: DurationValue<UnitFloatMillis>
 }
 
+export type MlFeatureExtractor = MlQueryFeatureExtractor
+
 export interface MlFillMaskInferenceOptions {
   mask_token?: string
   num_top_classes?: integer
@@ -14150,6 +14157,7 @@ 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
@@ -14296,6 +14304,12 @@ 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 {
@@ -14438,6 +14452,12 @@ 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
@@ -14482,6 +14502,7 @@ export interface MlTextClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   results_field?: string
   classification_labels?: string[]
+  vocabulary?: MlVocabulary
 }
 
 export interface MlTextClassificationInferenceUpdateOptions {
@@ -14524,6 +14545,7 @@ export interface MlTokenizationConfigContainer {
   bert_ja?: MlNlpBertTokenizationConfig
   mpnet?: MlNlpBertTokenizationConfig
   roberta?: MlNlpRobertaTokenizationConfig
+  xlm_roberta?: MlXlmRobertaTokenizationConfig
 }
 
 export type MlTokenizationTruncate = 'first' | 'second' | 'none'
@@ -14601,6 +14623,7 @@ export interface MlTrainedModelConfig {
   model_size_bytes?: ByteSize
   model_package?: MlModelPackageConfig
   location?: MlTrainedModelLocation
+  platform_architecture?: string
   prefix_strings?: MlTrainedModelPrefixStrings
 }
 
@@ -14736,6 +14759,9 @@ export interface MlVocabulary {
   index: IndexName
 }
 
+export interface MlXlmRobertaTokenizationConfig extends MlCommonTokenizationConfig {
+}
+
 export interface MlZeroShotClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   hypothesis_template?: string

src/api/typesWithBodyKey.ts

@@ -5360,6 +5360,10 @@ 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'
 }
 
@@ -10214,10 +10218,11 @@ 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 {
@@ -10227,7 +10232,7 @@ export interface EnrichExecutePolicyRequest extends RequestBase {
 
 export interface EnrichExecutePolicyResponse {
   status?: EnrichExecutePolicyExecuteEnrichPolicyStatus
-  task_id?: TaskId
+  task?: TaskId
 }
 
 export interface EnrichGetPolicyRequest extends RequestBase {
@@ -12731,7 +12736,7 @@ 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
@@ -14327,6 +14332,8 @@ export interface MlExponentialAverageCalculationContext {
   previous_exponential_average_ms?: DurationValue<UnitFloatMillis>
 }
 
+export type MlFeatureExtractor = MlQueryFeatureExtractor
+
 export interface MlFillMaskInferenceOptions {
   mask_token?: string
   num_top_classes?: integer
@@ -14392,6 +14399,7 @@ 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
@@ -14538,6 +14546,12 @@ 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 {
@@ -14680,6 +14694,12 @@ 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
@@ -14724,6 +14744,7 @@ export interface MlTextClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   results_field?: string
   classification_labels?: string[]
+  vocabulary?: MlVocabulary
 }
 
 export interface MlTextClassificationInferenceUpdateOptions {
@@ -14766,6 +14787,7 @@ export interface MlTokenizationConfigContainer {
   bert_ja?: MlNlpBertTokenizationConfig
   mpnet?: MlNlpBertTokenizationConfig
   roberta?: MlNlpRobertaTokenizationConfig
+  xlm_roberta?: MlXlmRobertaTokenizationConfig
 }
 
 export type MlTokenizationTruncate = 'first' | 'second' | 'none'
@@ -14843,6 +14865,7 @@ export interface MlTrainedModelConfig {
   model_size_bytes?: ByteSize
   model_package?: MlModelPackageConfig
   location?: MlTrainedModelLocation
+  platform_architecture?: string
   prefix_strings?: MlTrainedModelPrefixStrings
 }
 
@@ -14978,6 +15001,9 @@ export interface MlVocabulary {
   index: IndexName
 }
 
+export interface MlXlmRobertaTokenizationConfig extends MlCommonTokenizationConfig {
+}
+
 export interface MlZeroShotClassificationInferenceOptions {
   tokenization?: MlTokenizationConfigContainer
   hypothesis_template?: string