From 8e162dd8b87263982d76df94aa481ba9752b2fe2 Mon Sep 17 00:00:00 2001
From: Elastic Machine <elasticmachine@users.noreply.github.com>
Date: Sat, 8 Jun 2024 01:51:48 +1000
Subject: [PATCH] Auto-generated code for main (#2281)

---
 docs/reference.asciidoc     |  4 +++-
 src/api/types.ts            | 11 ++++++++---
 src/api/typesWithBodyKey.ts | 11 ++++++++---
 3 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/docs/reference.asciidoc b/docs/reference.asciidoc
index 7db4ac61a..59fc4094a 100644
--- a/docs/reference.asciidoc
+++ b/docs/reference.asciidoc
@@ -4252,7 +4252,7 @@ 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, 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, 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, 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 } | { type } | { 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 } | { 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, store, 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, 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, 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, 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, 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 } | { type } | { 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 } | { 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
@@ -4784,6 +4784,8 @@ client.inference.delete({ inference_id })
 * *Request (object):*
 ** *`inference_id` (string)*: The inference Id
 ** *`task_type` (Optional, Enum("sparse_embedding" | "text_embedding" | "rerank" | "completion"))*: The task type
+** *`dry_run` (Optional, boolean)*: When true, the endpoint is not deleted, and a list of ingest processors which reference this endpoint is returned
+** *`force` (Optional, boolean)*: When true, the inference endpoint is forcefully deleted even if it is still being used by ingest processors or semantic text fields
 
 [discrete]
 ==== get
diff --git a/src/api/types.ts b/src/api/types.ts
index d594b32e5..bb07bb0ae 100644
--- a/src/api/types.ts
+++ b/src/api/types.ts
@@ -5074,7 +5074,6 @@ export interface MappingIcuCollationProperty extends MappingDocValuesPropertyBas
   index_options?: MappingIndexOptions
   index?: boolean
   null_value?: string
-  store?: boolean
   rules?: string
   language?: string
   country?: string
@@ -11909,6 +11908,10 @@ export interface InferenceCompletionResult {
   result: string
 }
 
+export interface InferenceDeleteInferenceEndpointResult extends AcknowledgedResponseBase {
+  pipelines: string[]
+}
+
 export type InferenceDenseByteVector = byte[]
 
 export type InferenceDenseVector = float[]
@@ -11961,9 +11964,11 @@ export interface InferenceTextEmbeddingResult {
 export interface InferenceDeleteRequest extends RequestBase {
   task_type?: InferenceTaskType
   inference_id: Id
+  dry_run?: boolean
+  force?: boolean
 }
 
-export type InferenceDeleteResponse = AcknowledgedResponseBase
+export type InferenceDeleteResponse = InferenceDeleteInferenceEndpointResult
 
 export interface InferenceGetRequest extends RequestBase {
   task_type?: InferenceTaskType
@@ -13305,7 +13310,7 @@ export interface MlInferenceConfigUpdateContainer {
 export interface MlInferenceResponseResult {
   entities?: MlTrainedModelEntities[]
   is_truncated?: boolean
-  predicted_value?: MlPredictedValue[]
+  predicted_value?: MlPredictedValue | MlPredictedValue[]
   predicted_value_sequence?: string
   prediction_probability?: double
   prediction_score?: double
diff --git a/src/api/typesWithBodyKey.ts b/src/api/typesWithBodyKey.ts
index fe6fe2fc4..5b2206395 100644
--- a/src/api/typesWithBodyKey.ts
+++ b/src/api/typesWithBodyKey.ts
@@ -5147,7 +5147,6 @@ export interface MappingIcuCollationProperty extends MappingDocValuesPropertyBas
   index_options?: MappingIndexOptions
   index?: boolean
   null_value?: string
-  store?: boolean
   rules?: string
   language?: string
   country?: string
@@ -12130,6 +12129,10 @@ export interface InferenceCompletionResult {
   result: string
 }
 
+export interface InferenceDeleteInferenceEndpointResult extends AcknowledgedResponseBase {
+  pipelines: string[]
+}
+
 export type InferenceDenseByteVector = byte[]
 
 export type InferenceDenseVector = float[]
@@ -12182,9 +12185,11 @@ export interface InferenceTextEmbeddingResult {
 export interface InferenceDeleteRequest extends RequestBase {
   task_type?: InferenceTaskType
   inference_id: Id
+  dry_run?: boolean
+  force?: boolean
 }
 
-export type InferenceDeleteResponse = AcknowledgedResponseBase
+export type InferenceDeleteResponse = InferenceDeleteInferenceEndpointResult
 
 export interface InferenceGetRequest extends RequestBase {
   task_type?: InferenceTaskType
@@ -13540,7 +13545,7 @@ export interface MlInferenceConfigUpdateContainer {
 export interface MlInferenceResponseResult {
   entities?: MlTrainedModelEntities[]
   is_truncated?: boolean
-  predicted_value?: MlPredictedValue[]
+  predicted_value?: MlPredictedValue | MlPredictedValue[]
   predicted_value_sequence?: string
   prediction_probability?: double
   prediction_score?: double