diff --git a/docs/reference/api-reference.md b/docs/reference/api-reference.md
index 49578a926..d387c62eb 100644
--- a/docs/reference/api-reference.md
+++ b/docs/reference/api-reference.md
@@ -306,10 +306,7 @@ client.create({ id, index })
 - **`id` (string)**: A unique identifier for the document. To automatically generate a document ID, use the `POST /<target>/_doc/` request format.
 - **`index` (string)**: The name of the data stream or index to target. If the target doesn't exist and matches the name or wildcard (`*`) pattern of an index template with a `data_stream` definition, this request creates the data stream. If the target doesn't exist and doesn’t match a data stream template, this request creates the index.
 - **`document` (Optional, object)**: A document.
-- **`if_primary_term` (Optional, number)**: Only perform the operation if the document has this primary term.
-- **`if_seq_no` (Optional, number)**: Only perform the operation if the document has this sequence number.
 - **`include_source_on_error` (Optional, boolean)**: True or false if to include the document source in the error message in case of parsing errors.
-- **`op_type` (Optional, Enum("index" \| "create"))**: Set to `create` to only index the document if it does not already exist (put if absent). If a document with the specified `_id` already exists, the indexing operation will fail. The behavior is the same as using the `<index>/_create` endpoint. If a document ID is specified, this paramater defaults to `index`. Otherwise, it defaults to `create`. If the request targets a data stream, an `op_type` of `create` is required.
 - **`pipeline` (Optional, string)**: The ID of the pipeline to use to preprocess incoming documents. If the index has a default ingest pipeline specified, setting the value to `_none` turns off the default ingest pipeline for this request. If a final pipeline is configured, it will always run regardless of the value of this parameter.
 - **`refresh` (Optional, Enum(true \| false \| "wait_for"))**: If `true`, Elasticsearch refreshes the affected shards to make this operation visible to search. If `wait_for`, it waits for a refresh to make this operation visible to search. If `false`, it does nothing with refreshes.
 - **`require_alias` (Optional, boolean)**: If `true`, the destination must be an index alias.
@@ -2518,7 +2515,7 @@ client.cat.indices({ ... })
 Supports wildcards (`*`). To target all data streams and indices, omit this parameter or use `*` or `_all`.
 - **`bytes` (Optional, Enum("b" \| "kb" \| "mb" \| "gb" \| "tb" \| "pb"))**: The unit used to display byte values.
 - **`expand_wildcards` (Optional, Enum("all" \| "open" \| "closed" \| "hidden" \| "none") \| Enum("all" \| "open" \| "closed" \| "hidden" \| "none")[])**: The type of index that wildcard patterns can match.
-- **`health` (Optional, Enum("green" \| "yellow" \| "red"))**: The health status used to limit returned indices. By default, the response includes indices of any health status.
+- **`health` (Optional, Enum("green" \| "yellow" \| "red" \| "unknown" \| "unavailable"))**: The health status used to limit returned indices. By default, the response includes indices of any health status.
 - **`include_unloaded_segments` (Optional, boolean)**: If true, the response includes information from segments that are not loaded into memory.
 - **`pri` (Optional, boolean)**: If true, the response only includes information from primary shards.
 - **`time` (Optional, Enum("nanos" \| "micros" \| "ms" \| "s" \| "m" \| "h" \| "d"))**: The unit used to display time values.
@@ -2916,7 +2913,7 @@ Accepts wildcard expressions.
 `_all` returns all repositories.
 If any repository fails during the request, Elasticsearch returns an error.
 - **`ignore_unavailable` (Optional, boolean)**: If `true`, the response does not include information from unavailable snapshots.
-- **`h` (Optional, Enum("id" \| "repository" \| "status" \| "start_epoch" \| "start_time" \| "end_epoch" \| "end_time" \| "duration" \| "indices" \| "successful_shards" \| "failed_shards" \| "total_shards" \| "reason") \| Enum("build" \| "completion.size" \| "cpu" \| "disk.avail" \| "disk.total" \| "disk.used" \| "disk.used_percent" \| "fielddata.evictions" \| "fielddata.memory_size" \| "file_desc.current" \| "file_desc.max" \| "file_desc.percent" \| "flush.total" \| "flush.total_time" \| "get.current" \| "get.exists_time" \| "get.exists_total" \| "get.missing_time" \| "get.missing_total" \| "get.time" \| "get.total" \| "heap.current" \| "heap.max" \| "heap.percent" \| "http_address" \| "id" \| "indexing.delete_current" \| "indexing.delete_time" \| "indexing.delete_total" \| "indexing.index_current" \| "indexing.index_failed" \| "indexing.index_failed_due_to_version_conflict" \| "indexing.index_time" \| "indexing.index_total" \| "ip" \| "jdk" \| "load_1m" \| "load_5m" \| "load_15m" \| "mappings.total_count" \| "mappings.total_estimated_overhead_in_bytes" \| "master" \| "merges.current" \| "merges.current_docs" \| "merges.current_size" \| "merges.total" \| "merges.total_docs" \| "merges.total_size" \| "merges.total_time" \| "name" \| "node.role" \| "pid" \| "port" \| "query_cache.memory_size" \| "query_cache.evictions" \| "query_cache.hit_count" \| "query_cache.miss_count" \| "ram.current" \| "ram.max" \| "ram.percent" \| "refresh.total" \| "refresh.time" \| "request_cache.memory_size" \| "request_cache.evictions" \| "request_cache.hit_count" \| "request_cache.miss_count" \| "script.compilations" \| "script.cache_evictions" \| "search.fetch_current" \| "search.fetch_time" \| "search.fetch_total" \| "search.open_contexts" \| "search.query_current" \| "search.query_time" \| "search.query_total" \| "search.scroll_current" \| "search.scroll_time" \| "search.scroll_total" \| "segments.count" \| "segments.fixed_bitset_memory" \| "segments.index_writer_memory" \| "segments.memory" \| "segments.version_map_memory" \| "shard_stats.total_count" \| "suggest.current" \| "suggest.time" \| "suggest.total" \| "uptime" \| "version")[])**: A list of columns names to display.
+- **`h` (Optional, Enum("id" \| "repository" \| "status" \| "start_epoch" \| "start_time" \| "end_epoch" \| "end_time" \| "duration" \| "indices" \| "successful_shards" \| "failed_shards" \| "total_shards" \| "reason") \| Enum("id" \| "repository" \| "status" \| "start_epoch" \| "start_time" \| "end_epoch" \| "end_time" \| "duration" \| "indices" \| "successful_shards" \| "failed_shards" \| "total_shards" \| "reason")[])**: A list of columns names to display.
 It supports simple wildcards.
 - **`s` (Optional, string \| string[])**: List of columns that determine how the table should be sorted.
 Sorting defaults to ascending and can be changed by setting `:asc`
@@ -3524,7 +3521,7 @@ client.cluster.health({ ... })
 - **`wait_for_nodes` (Optional, string \| number)**: The request waits until the specified number N of nodes is available. It also accepts >=N, <=N, >N and <N. Alternatively, it is possible to use ge(N), le(N), gt(N) and lt(N) notation.
 - **`wait_for_no_initializing_shards` (Optional, boolean)**: A boolean value which controls whether to wait (until the timeout provided) for the cluster to have no shard initializations. Defaults to false, which means it will not wait for initializing shards.
 - **`wait_for_no_relocating_shards` (Optional, boolean)**: A boolean value which controls whether to wait (until the timeout provided) for the cluster to have no shard relocations. Defaults to false, which means it will not wait for relocating shards.
-- **`wait_for_status` (Optional, Enum("green" \| "yellow" \| "red"))**: One of green, yellow or red. Will wait (until the timeout provided) until the status of the cluster changes to the one provided or better, i.e. green > yellow > red. By default, will not wait for any status.
+- **`wait_for_status` (Optional, Enum("green" \| "yellow" \| "red" \| "unknown" \| "unavailable"))**: One of green, yellow or red. Will wait (until the timeout provided) until the status of the cluster changes to the one provided or better, i.e. green > yellow > red. By default, will not wait for any status.
 
 ## client.cluster.info [_cluster.info]
 Get cluster info.
@@ -4574,8 +4571,9 @@ If false, the sequence query will return successfully, but will always have empt
 - **`max_samples_per_key` (Optional, number)**: By default, the response of a sample query contains up to `10` samples, with one sample per unique set of join keys. Use the `size`
 parameter to get a smaller or larger set of samples. To retrieve more than one sample per set of join keys, use the
 `max_samples_per_key` parameter. Pipes are not supported for sample queries.
-- **`allow_no_indices` (Optional, boolean)**
-- **`expand_wildcards` (Optional, Enum("all" \| "open" \| "closed" \| "hidden" \| "none") \| Enum("all" \| "open" \| "closed" \| "hidden" \| "none")[])**
+- **`allow_no_indices` (Optional, boolean)**: Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes `_all` string or when no indices have been specified)
+- **`expand_wildcards` (Optional, Enum("all" \| "open" \| "closed" \| "hidden" \| "none") \| Enum("all" \| "open" \| "closed" \| "hidden" \| "none")[])**: Whether to expand wildcard expression to concrete indices that are open, closed or both.
+- **`ccs_minimize_roundtrips` (Optional, boolean)**: Indicates whether network round-trips should be minimized as part of cross-cluster search requests execution
 - **`ignore_unavailable` (Optional, boolean)**: If true, missing or closed indices are not included in the response.
 
 ## client.esql.asyncQuery [_esql.async_query]
@@ -6736,6 +6734,12 @@ Supports wildcards (`*`).
 To target all data streams and indices, omit this parameter or use `*` or `_all`.
 - **`active_only` (Optional, boolean)**: If `true`, the response only includes ongoing shard recoveries.
 - **`detailed` (Optional, boolean)**: If `true`, the response includes detailed information about shard recoveries.
+- **`allow_no_indices` (Optional, boolean)**: If `false`, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices.
+This behavior applies even if the request targets other open indices.
+- **`expand_wildcards` (Optional, Enum("all" \| "open" \| "closed" \| "hidden" \| "none") \| Enum("all" \| "open" \| "closed" \| "hidden" \| "none")[])**: Type of index that wildcard patterns can match.
+If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams.
+Supports a list of values, such as `open,hidden`.
+- **`ignore_unavailable` (Optional, boolean)**: If `false`, the request returns an error if it targets a missing or closed index.
 
 ## client.indices.refresh [_indices.refresh]
 Refresh an index.
@@ -7452,6 +7456,7 @@ client.inference.put({ inference_id })
 - **`inference_id` (string)**: The inference Id
 - **`task_type` (Optional, Enum("sparse_embedding" \| "text_embedding" \| "rerank" \| "completion" \| "chat_completion"))**: The task type. Refer to the integration list in the API description for the available task types.
 - **`inference_config` (Optional, { chunking_settings, service, service_settings, task_settings })**
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putAlibabacloud [_inference.put_alibabacloud]
 Create an AlibabaCloud AI Search inference endpoint.
@@ -7474,6 +7479,7 @@ client.inference.putAlibabacloud({ task_type, alibabacloud_inference_id, service
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { input_type, return_token })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putAmazonbedrock [_inference.put_amazonbedrock]
 Create an Amazon Bedrock inference endpoint.
@@ -7499,6 +7505,7 @@ client.inference.putAmazonbedrock({ task_type, amazonbedrock_inference_id, servi
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { max_new_tokens, temperature, top_k, top_p })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putAnthropic [_inference.put_anthropic]
 Create an Anthropic inference endpoint.
@@ -7522,6 +7529,7 @@ The only valid task type for the model to perform is `completion`.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { max_tokens, temperature, top_k, top_p })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putAzureaistudio [_inference.put_azureaistudio]
 Create an Azure AI studio inference endpoint.
@@ -7544,6 +7552,7 @@ client.inference.putAzureaistudio({ task_type, azureaistudio_inference_id, servi
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { do_sample, max_new_tokens, temperature, top_p, user })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putAzureopenai [_inference.put_azureopenai]
 Create an Azure OpenAI inference endpoint.
@@ -7574,6 +7583,7 @@ NOTE: The `chat_completion` task type only supports streaming and only through t
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { user })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putCohere [_inference.put_cohere]
 Create a Cohere inference endpoint.
@@ -7597,6 +7607,7 @@ These settings are specific to the `cohere` service.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { input_type, return_documents, top_n, truncate })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putElasticsearch [_inference.put_elasticsearch]
 Create an Elasticsearch inference endpoint.
@@ -7633,6 +7644,7 @@ The must not match the `model_id`.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { return_documents })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putElser [_inference.put_elser]
 Create an ELSER inference endpoint.
@@ -7667,6 +7679,7 @@ client.inference.putElser({ task_type, elser_inference_id, service, service_sett
 - **`service` (Enum("elser"))**: The type of service supported for the specified task type. In this case, `elser`.
 - **`service_settings` ({ adaptive_allocations, num_allocations, num_threads })**: Settings used to install the inference model. These settings are specific to the `elser` service.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putGoogleaistudio [_inference.put_googleaistudio]
 Create an Google AI Studio inference endpoint.
@@ -7687,6 +7700,7 @@ client.inference.putGoogleaistudio({ task_type, googleaistudio_inference_id, ser
 - **`service` (Enum("googleaistudio"))**: The type of service supported for the specified task type. In this case, `googleaistudio`.
 - **`service_settings` ({ api_key, model_id, rate_limit })**: Settings used to install the inference model. These settings are specific to the `googleaistudio` service.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putGooglevertexai [_inference.put_googlevertexai]
 Create a Google Vertex AI inference endpoint.
@@ -7709,6 +7723,7 @@ client.inference.putGooglevertexai({ task_type, googlevertexai_inference_id, ser
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { auto_truncate, top_n })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putHuggingFace [_inference.put_hugging_face]
 Create a Hugging Face inference endpoint.
@@ -7743,6 +7758,7 @@ client.inference.putHuggingFace({ task_type, huggingface_inference_id, service,
 - **`service` (Enum("hugging_face"))**: The type of service supported for the specified task type. In this case, `hugging_face`.
 - **`service_settings` ({ api_key, rate_limit, url })**: Settings used to install the inference model. These settings are specific to the `hugging_face` service.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putJinaai [_inference.put_jinaai]
 Create an JinaAI inference endpoint.
@@ -7768,6 +7784,7 @@ client.inference.putJinaai({ task_type, jinaai_inference_id, service, service_se
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { return_documents, task, top_n })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putMistral [_inference.put_mistral]
 Create a Mistral inference endpoint.
@@ -7789,6 +7806,7 @@ The only valid task type for the model to perform is `text_embedding`.
 - **`service` (Enum("mistral"))**: The type of service supported for the specified task type. In this case, `mistral`.
 - **`service_settings` ({ api_key, max_input_tokens, model, rate_limit })**: Settings used to install the inference model. These settings are specific to the `mistral` service.
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putOpenai [_inference.put_openai]
 Create an OpenAI inference endpoint.
@@ -7812,6 +7830,7 @@ NOTE: The `chat_completion` task type only supports streaming and only through t
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { user })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putVoyageai [_inference.put_voyageai]
 Create a VoyageAI inference endpoint.
@@ -7836,6 +7855,7 @@ client.inference.putVoyageai({ task_type, voyageai_inference_id, service, servic
 - **`chunking_settings` (Optional, { max_chunk_size, overlap, sentence_overlap, strategy })**: The chunking configuration object.
 - **`task_settings` (Optional, { input_type, return_documents, top_k, truncation })**: Settings to configure the inference task.
 These settings are specific to the task type you specified.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.putWatsonx [_inference.put_watsonx]
 Create a Watsonx inference endpoint.
@@ -7858,6 +7878,7 @@ The only valid task type for the model to perform is `text_embedding`.
 - **`watsonx_inference_id` (string)**: The unique identifier of the inference endpoint.
 - **`service` (Enum("watsonxai"))**: The type of service supported for the specified task type. In this case, `watsonxai`.
 - **`service_settings` ({ api_key, api_version, model_id, project_id, rate_limit, url })**: Settings used to install the inference model. These settings are specific to the `watsonxai` service.
+- **`timeout` (Optional, string \| -1 \| 0)**: Specifies the amount of time to wait for the inference endpoint to be created.
 
 ## client.inference.rerank [_inference.rerank]
 Perform reranking inference on the service
@@ -7924,6 +7945,7 @@ It can be a single string or an array.
 
 NOTE: Inference endpoints for the completion task type currently only support a single string as input.
 - **`task_settings` (Optional, User-defined value)**: Optional task settings
+- **`timeout` (Optional, string \| -1 \| 0)**: The amount of time to wait for the inference request to complete.
 
 ## client.inference.textEmbedding [_inference.text_embedding]
 Perform text embedding inference on the service
diff --git a/src/api/api/create.ts b/src/api/api/create.ts
index c63a5abf5..84d0fc832 100644
--- a/src/api/api/create.ts
+++ b/src/api/api/create.ts
@@ -38,10 +38,7 @@ const acceptedParams: Record<string, { path: string[], body: string[], query: st
       'document'
     ],
     query: [
-      'if_primary_term',
-      'if_seq_no',
       'include_source_on_error',
-      'op_type',
       'pipeline',
       'refresh',
       'require_alias',
diff --git a/src/api/api/eql.ts b/src/api/api/eql.ts
index 129c59265..d45e12f15 100644
--- a/src/api/api/eql.ts
+++ b/src/api/api/eql.ts
@@ -87,6 +87,7 @@ export default class Eql {
           'allow_partial_search_results',
           'allow_partial_sequence_results',
           'expand_wildcards',
+          'ccs_minimize_roundtrips',
           'ignore_unavailable',
           'keep_alive',
           'keep_on_completion',
diff --git a/src/api/api/indices.ts b/src/api/api/indices.ts
index 7d174f272..29e578f83 100644
--- a/src/api/api/indices.ts
+++ b/src/api/api/indices.ts
@@ -652,7 +652,10 @@ export default class Indices {
         body: [],
         query: [
           'active_only',
-          'detailed'
+          'detailed',
+          'allow_no_indices',
+          'expand_wildcards',
+          'ignore_unavailable'
         ]
       },
       'indices.refresh': {
diff --git a/src/api/api/inference.ts b/src/api/api/inference.ts
index 7a4020f6a..6091ed46c 100644
--- a/src/api/api/inference.ts
+++ b/src/api/api/inference.ts
@@ -99,7 +99,9 @@ export default class Inference {
         body: [
           'inference_config'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_alibabacloud': {
         path: [
@@ -112,7 +114,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_amazonbedrock': {
         path: [
@@ -125,7 +129,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_anthropic': {
         path: [
@@ -138,7 +144,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_azureaistudio': {
         path: [
@@ -151,7 +159,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_azureopenai': {
         path: [
@@ -164,7 +174,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_cohere': {
         path: [
@@ -177,7 +189,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_elasticsearch': {
         path: [
@@ -190,7 +204,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_elser': {
         path: [
@@ -202,7 +218,9 @@ export default class Inference {
           'service',
           'service_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_googleaistudio': {
         path: [
@@ -214,7 +232,9 @@ export default class Inference {
           'service',
           'service_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_googlevertexai': {
         path: [
@@ -227,7 +247,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_hugging_face': {
         path: [
@@ -239,7 +261,9 @@ export default class Inference {
           'service',
           'service_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_jinaai': {
         path: [
@@ -252,7 +276,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_mistral': {
         path: [
@@ -264,7 +290,9 @@ export default class Inference {
           'service',
           'service_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_openai': {
         path: [
@@ -277,7 +305,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_voyageai': {
         path: [
@@ -290,7 +320,9 @@ export default class Inference {
           'service_settings',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.put_watsonx': {
         path: [
@@ -301,7 +333,9 @@ export default class Inference {
           'service',
           'service_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.rerank': {
         path: [
@@ -336,7 +370,9 @@ export default class Inference {
           'input',
           'task_settings'
         ],
-        query: []
+        query: [
+          'timeout'
+        ]
       },
       'inference.text_embedding': {
         path: [
diff --git a/src/api/types.ts b/src/api/types.ts
index a2b40fb8c..baf6f1c46 100644
--- a/src/api/types.ts
+++ b/src/api/types.ts
@@ -291,19 +291,8 @@ export interface CreateRequest<TDocument = unknown> extends RequestBase {
     * If the target doesn't exist and matches the name or wildcard (`*`) pattern of an index template with a `data_stream` definition, this request creates the data stream.
     * If the target doesn't exist and doesn’t match a data stream template, this request creates the index. */
   index: IndexName
-  /** Only perform the operation if the document has this primary term. */
-  if_primary_term?: long
-  /** Only perform the operation if the document has this sequence number. */
-  if_seq_no?: SequenceNumber
   /** True or false if to include the document source in the error message in case of parsing errors. */
   include_source_on_error?: boolean
-  /** Set to `create` to only index the document if it does not already exist (put if absent).
-    * If a document with the specified `_id` already exists, the indexing operation will fail.
-    * The behavior is the same as using the `<index>/_create` endpoint.
-    * If a document ID is specified, this paramater defaults to `index`.
-    * Otherwise, it defaults to `create`.
-    * If the request targets a data stream, an `op_type` of `create` is required. */
-  op_type?: OpType
   /** The ID of the pipeline to use to preprocess incoming documents.
     * If the index has a default ingest pipeline specified, setting the value to `_none` turns off the default ingest pipeline for this request.
     * If a final pipeline is configured, it will always run regardless of the value of this parameter. */
@@ -338,9 +327,9 @@ export interface CreateRequest<TDocument = unknown> extends RequestBase {
   wait_for_active_shards?: WaitForActiveShards
   document?: TDocument
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { id?: never, index?: never, if_primary_term?: never, if_seq_no?: never, include_source_on_error?: never, op_type?: never, pipeline?: never, refresh?: never, require_alias?: never, require_data_stream?: never, routing?: never, timeout?: never, version?: never, version_type?: never, wait_for_active_shards?: never, document?: never }
+  body?: string | { [key: string]: any } & { id?: never, index?: never, include_source_on_error?: never, pipeline?: never, refresh?: never, require_alias?: never, require_data_stream?: never, routing?: never, timeout?: never, version?: never, version_type?: never, wait_for_active_shards?: never, document?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { id?: never, index?: never, if_primary_term?: never, if_seq_no?: never, include_source_on_error?: never, op_type?: never, pipeline?: never, refresh?: never, require_alias?: never, require_data_stream?: never, routing?: never, timeout?: never, version?: never, version_type?: never, wait_for_active_shards?: never, document?: never }
+  querystring?: { [key: string]: any } & { id?: never, index?: never, include_source_on_error?: never, pipeline?: never, refresh?: never, require_alias?: never, require_data_stream?: never, routing?: never, timeout?: never, version?: never, version_type?: never, wait_for_active_shards?: never, document?: never }
 }
 
 export type CreateResponse = WriteResponseBase
@@ -1030,7 +1019,7 @@ export interface HealthReportImpact {
 
 export type HealthReportImpactArea = 'search' | 'ingest' | 'backup' | 'deployment_management'
 
-export type HealthReportIndicatorHealthStatus = 'green' | 'yellow' | 'red' | 'unknown'
+export type HealthReportIndicatorHealthStatus = 'green' | 'yellow' | 'red' | 'unknown' | 'unavailable'
 
 export interface HealthReportIndicatorNode {
   name: string | null
@@ -3818,6 +3807,11 @@ export interface DocStats {
     * This number is based on documents in Lucene segments.
     * Elasticsearch reclaims the disk space of deleted Lucene documents when a segment is merged. */
   deleted?: long
+  /** Returns the total size in bytes of all documents in this stats.
+    * This value may be more reliable than store_stats.size_in_bytes in estimating the index size. */
+  total_size_in_bytes: long
+  /** Human readable total_size_in_bytes */
+  total_size?: ByteSize
 }
 
 export type Duration = string | -1 | 0
@@ -3915,6 +3909,7 @@ export interface FielddataStats {
   memory_size?: ByteSize
   memory_size_in_bytes: long
   fields?: Record<Field, FieldMemoryUsage>
+  global_ordinals: GlobalOrdinalsStats
 }
 
 export type Fields = Field | Field[]
@@ -3983,9 +3978,21 @@ export interface GetStats {
   total: long
 }
 
+export interface GlobalOrdinalFieldStats {
+  build_time_in_millis: UnitMillis
+  build_time?: string
+  shard_max_value_count: long
+}
+
+export interface GlobalOrdinalsStats {
+  build_time_in_millis: UnitMillis
+  build_time?: string
+  fields?: Record<Name, GlobalOrdinalFieldStats>
+}
+
 export type GrokPattern = string
 
-export type HealthStatus = 'green' | 'GREEN' | 'yellow' | 'YELLOW' | 'red' | 'RED'
+export type HealthStatus = 'green' | 'GREEN' | 'yellow' | 'YELLOW' | 'red' | 'RED' | 'unknown' | 'unavailable'
 
 export type Host = string
 
@@ -4507,7 +4514,6 @@ export interface SegmentsStats {
   fixed_bit_set_memory_in_bytes: long
   /** Total amount of memory used by all index writers across all shards assigned to selected nodes. */
   index_writer_memory?: ByteSize
-  index_writer_max_memory_in_bytes?: long
   /** Total amount, in bytes, of memory used by all index writers across all shards assigned to selected nodes. */
   index_writer_memory_in_bytes: long
   /** Unix timestamp, in milliseconds, of the most recently retried indexing request. */
@@ -4524,15 +4530,16 @@ export interface SegmentsStats {
   points_memory?: ByteSize
   /** Total amount, in bytes, of memory used for points across all shards assigned to selected nodes. */
   points_memory_in_bytes: long
-  stored_memory?: ByteSize
   /** Total amount, in bytes, of memory used for stored fields across all shards assigned to selected nodes. */
   stored_fields_memory_in_bytes: long
+  /** Total amount of memory used for stored fields across all shards assigned to selected nodes. */
+  stored_fields_memory?: ByteSize
   /** Total amount, in bytes, of memory used for terms across all shards assigned to selected nodes. */
   terms_memory_in_bytes: long
   /** Total amount of memory used for terms across all shards assigned to selected nodes. */
   terms_memory?: ByteSize
   /** Total amount of memory used for term vectors across all shards assigned to selected nodes. */
-  term_vectory_memory?: ByteSize
+  term_vectors_memory?: ByteSize
   /** Total amount, in bytes, of memory used for term vectors across all shards assigned to selected nodes. */
   term_vectors_memory_in_bytes: long
   /** Total amount of memory used by all version maps across all shards assigned to selected nodes. */
@@ -10229,7 +10236,7 @@ export type CatCatShardColumns = CatCatShardColumn | CatCatShardColumn[]
 
 export type CatCatSnapshotsColumn = 'id' | 'snapshot' | 'repository' | 're' | 'repo' | 'status' | 's' | 'start_epoch' | 'ste' | 'startEpoch' | 'start_time' | 'sti' | 'startTime' | 'end_epoch' | 'ete' | 'endEpoch' | 'end_time' | 'eti' | 'endTime' | 'duration' | 'dur' | 'indices' | 'i' | 'successful_shards' | 'ss' | 'failed_shards' | 'fs' | 'total_shards' | 'ts' | 'reason' | 'r' | string
 
-export type CatCatSnapshotsColumns = CatCatSnapshotsColumn | CatCatNodeColumn[]
+export type CatCatSnapshotsColumns = CatCatSnapshotsColumn | CatCatSnapshotsColumn[]
 
 export type CatCatThreadPoolColumn = 'active' | 'a' | 'completed' | 'c' | 'core' | 'cr' | 'ephemeral_id' | 'eid' | 'host' | 'h' | 'ip' | 'i' | 'keep_alive' | 'k' | 'largest' | 'l' | 'max' | 'mx' | 'name' | 'node_id' | 'id' | 'node_name' | 'pid' | 'p' | 'pool_size' | 'psz' | 'port' | 'po' | 'queue' | 'q' | 'queue_size' | 'qs' | 'rejected' | 'r' | 'size' | 'sz' | 'type' | 't' | string
 
@@ -16262,22 +16269,43 @@ export interface ClusterStatsCharFilterTypes {
   filter_types: ClusterStatsFieldTypes[]
   /** Contains statistics about tokenizer types used in selected nodes. */
   tokenizer_types: ClusterStatsFieldTypes[]
+  /** Contains statistics about synonyms types used in selected nodes. */
+  synonyms: Record<Name, ClusterStatsSynonymsStats>
 }
 
 export interface ClusterStatsClusterFileSystem {
+  path?: string
+  mount?: string
+  type?: string
   /** Total number of bytes available to JVM in file stores across all selected nodes.
     * Depending on operating system or process-level restrictions, this number may be less than `nodes.fs.free_in_byes`.
     * This is the actual amount of free disk space the selected Elasticsearch nodes can use. */
-  available_in_bytes: long
+  available_in_bytes?: long
+  /** Total number of bytes available to JVM in file stores across all selected nodes.
+    * Depending on operating system or process-level restrictions, this number may be less than `nodes.fs.free_in_byes`.
+    * This is the actual amount of free disk space the selected Elasticsearch nodes can use. */
+  available?: ByteSize
+  /** Total number, in bytes, of unallocated bytes in file stores across all selected nodes. */
+  free_in_bytes?: long
   /** Total number of unallocated bytes in file stores across all selected nodes. */
-  free_in_bytes: long
+  free?: ByteSize
   /** Total size, in bytes, of all file stores across all selected nodes. */
-  total_in_bytes: long
+  total_in_bytes?: long
+  /** Total size of all file stores across all selected nodes. */
+  total?: ByteSize
+  low_watermark_free_space?: ByteSize
+  low_watermark_free_space_in_bytes?: long
+  high_watermark_free_space?: ByteSize
+  high_watermark_free_space_in_bytes?: long
+  flood_stage_free_space?: ByteSize
+  flood_stage_free_space_in_bytes?: long
+  frozen_flood_stage_free_space?: ByteSize
+  frozen_flood_stage_free_space_in_bytes?: long
 }
 
 export interface ClusterStatsClusterIndices {
   /** Contains statistics about analyzers and analyzer components used in selected nodes. */
-  analysis: ClusterStatsCharFilterTypes
+  analysis?: ClusterStatsCharFilterTypes
   /** Contains statistics about memory used for completion in selected nodes. */
   completion: CompletionStats
   /** Total number of indices with shards assigned to selected nodes. */
@@ -16288,6 +16316,10 @@ export interface ClusterStatsClusterIndices {
   fielddata: FielddataStats
   /** Contains statistics about the query cache of selected nodes. */
   query_cache: QueryCacheStats
+  /** Holds a snapshot of the search usage statistics.
+    * Used to hold the stats for a single node that's part of a ClusterStatsNodeResponse, as well as to
+    * accumulate stats for the entire cluster and return them as part of the ClusterStatsResponse. */
+  search: ClusterStatsSearchUsageStats
   /** Contains statistics about segments in selected nodes. */
   segments: SegmentsStats
   /** Contains statistics about indices with shards assigned to selected nodes. */
@@ -16295,9 +16327,13 @@ export interface ClusterStatsClusterIndices {
   /** Contains statistics about the size of shards assigned to selected nodes. */
   store: StoreStats
   /** Contains statistics about field mappings in selected nodes. */
-  mappings: ClusterStatsFieldTypesMappings
+  mappings?: ClusterStatsFieldTypesMappings
   /** Contains statistics about analyzers and analyzer components used in selected nodes. */
   versions?: ClusterStatsIndicesVersions[]
+  /** Contains statistics about indexed dense vector */
+  dense_vector: ClusterStatsDenseVectorStats
+  /** Contains statistics about indexed sparse vector */
+  sparse_vector: ClusterStatsSparseVectorStats
 }
 
 export interface ClusterStatsClusterIndicesShards {
@@ -16328,6 +16364,8 @@ export interface ClusterStatsClusterIngest {
 export interface ClusterStatsClusterJvm {
   /** Uptime duration, in milliseconds, since JVM last started. */
   max_uptime_in_millis: DurationValue<UnitMillis>
+  /** Uptime duration since JVM last started. */
+  max_uptime?: Duration
   /** Contains statistics about memory used by selected nodes. */
   mem: ClusterStatsClusterJvmMemory
   /** Number of active threads in use by JVM across all selected nodes. */
@@ -16339,8 +16377,12 @@ export interface ClusterStatsClusterJvm {
 export interface ClusterStatsClusterJvmMemory {
   /** Maximum amount of memory, in bytes, available for use by the heap across all selected nodes. */
   heap_max_in_bytes: long
+  /** Maximum amount of memory available for use by the heap across all selected nodes. */
+  heap_max?: ByteSize
   /** Memory, in bytes, currently in use by the heap across all selected nodes. */
   heap_used_in_bytes: long
+  /** Memory currently in use by the heap across all selected nodes. */
+  heap_used?: ByteSize
 }
 
 export interface ClusterStatsClusterJvmVersion {
@@ -16369,20 +16411,22 @@ export interface ClusterStatsClusterNetworkTypes {
 }
 
 export interface ClusterStatsClusterNodeCount {
-  coordinating_only: integer
-  data: integer
-  data_cold: integer
-  data_content: integer
-  data_frozen?: integer
-  data_hot: integer
-  data_warm: integer
-  ingest: integer
-  master: integer
-  ml: integer
-  remote_cluster_client: integer
   total: integer
-  transform: integer
-  voting_only: integer
+  coordinating_only?: integer
+  data?: integer
+  data_cold?: integer
+  data_content?: integer
+  data_frozen?: integer
+  data_hot?: integer
+  data_warm?: integer
+  index?: integer
+  ingest?: integer
+  master?: integer
+  ml?: integer
+  remote_cluster_client?: integer
+  search?: integer
+  transform?: integer
+  voting_only?: integer
 }
 
 export interface ClusterStatsClusterNodes {
@@ -16491,6 +16535,30 @@ export interface ClusterStatsClusterShardMetrics {
   min: double
 }
 
+export interface ClusterStatsClusterSnapshotStats {
+  current_counts: ClusterStatsSnapshotCurrentCounts
+  repositories: Record<Name, ClusterStatsPerRepositoryStats>
+}
+
+export interface ClusterStatsDenseVectorOffHeapStats {
+  total_size_bytes: long
+  total_size?: ByteSize
+  total_veb_size_bytes: long
+  total_veb_size?: ByteSize
+  total_vec_size_bytes: long
+  total_vec_size?: ByteSize
+  total_veq_size_bytes: long
+  total_veq_size?: ByteSize
+  total_vex_size_bytes: long
+  total_vex_size?: ByteSize
+  fielddata?: Record<string, Record<string, long>>
+}
+
+export interface ClusterStatsDenseVectorStats {
+  value_count: long
+  off_heap?: ClusterStatsDenseVectorOffHeapStats
+}
+
 export interface ClusterStatsFieldTypes {
   /** The name for the field type in selected nodes. */
   name: Name
@@ -16499,55 +16567,47 @@ export interface ClusterStatsFieldTypes {
   /** The number of indices containing the field type in selected nodes. */
   index_count: integer
   /** For dense_vector field types, number of indexed vector types in selected nodes. */
-  indexed_vector_count?: long
+  indexed_vector_count?: integer
   /** For dense_vector field types, the maximum dimension of all indexed vector types in selected nodes. */
-  indexed_vector_dim_max?: long
+  indexed_vector_dim_max?: integer
   /** For dense_vector field types, the minimum dimension of all indexed vector types in selected nodes. */
-  indexed_vector_dim_min?: long
+  indexed_vector_dim_min?: integer
   /** The number of fields that declare a script. */
   script_count?: integer
+  /** For dense_vector field types, count of mappings by index type */
+  vector_index_type_count?: Record<Name, integer>
+  /** For dense_vector field types, count of mappings by similarity */
+  vector_similarity_type_count?: Record<Name, integer>
+  /** For dense_vector field types, count of mappings by element type */
+  vector_element_type_count?: Record<Name, integer>
 }
 
 export interface ClusterStatsFieldTypesMappings {
   /** Contains statistics about field data types used in selected nodes. */
   field_types: ClusterStatsFieldTypes[]
   /** Contains statistics about runtime field data types used in selected nodes. */
-  runtime_field_types?: ClusterStatsRuntimeFieldTypes[]
+  runtime_field_types: ClusterStatsRuntimeFieldTypes[]
   /** Total number of fields in all non-system indices. */
-  total_field_count?: integer
+  total_field_count?: long
   /** Total number of fields in all non-system indices, accounting for mapping deduplication. */
-  total_deduplicated_field_count?: integer
+  total_deduplicated_field_count?: long
   /** Total size of all mappings after deduplication and compression. */
   total_deduplicated_mapping_size?: ByteSize
   /** Total size of all mappings, in bytes, after deduplication and compression. */
   total_deduplicated_mapping_size_in_bytes?: long
+  /** Source mode usage count. */
+  source_modes: Record<Name, integer>
 }
 
 export interface ClusterStatsIndexingPressure {
-  memory: ClusterStatsIndexingPressureMemory
-}
-
-export interface ClusterStatsIndexingPressureMemory {
-  current: ClusterStatsIndexingPressureMemorySummary
-  limit_in_bytes: long
-  total: ClusterStatsIndexingPressureMemorySummary
-}
-
-export interface ClusterStatsIndexingPressureMemorySummary {
-  all_in_bytes: long
-  combined_coordinating_and_primary_in_bytes: long
-  coordinating_in_bytes: long
-  coordinating_rejections?: long
-  primary_in_bytes: long
-  primary_rejections?: long
-  replica_in_bytes: long
-  replica_rejections?: long
+  memory: NodesIndexingPressureMemory
 }
 
 export interface ClusterStatsIndicesVersions {
   index_count: integer
   primary_shard_count: integer
   total_primary_bytes: long
+  total_primary_size?: ByteSize
   version: VersionString
 }
 
@@ -16563,18 +16623,33 @@ export interface ClusterStatsNodePackagingType {
 export interface ClusterStatsOperatingSystemMemoryInfo {
   /** Total amount, in bytes, of memory across all selected nodes, but using the value specified using the `es.total_memory_bytes` system property instead of measured total memory for those nodes where that system property was set. */
   adjusted_total_in_bytes?: long
+  /** Total amount of memory across all selected nodes, but using the value specified using the `es.total_memory_bytes` system property instead of measured total memory for those nodes where that system property was set. */
+  adjusted_total?: ByteSize
   /** Amount, in bytes, of free physical memory across all selected nodes. */
   free_in_bytes: long
+  /** Amount of free physical memory across all selected nodes. */
+  free?: ByteSize
   /** Percentage of free physical memory across all selected nodes. */
   free_percent: integer
   /** Total amount, in bytes, of physical memory across all selected nodes. */
   total_in_bytes: long
+  /** Total amount of physical memory across all selected nodes. */
+  total?: ByteSize
   /** Amount, in bytes, of physical memory in use across all selected nodes. */
   used_in_bytes: long
+  /** Amount of physical memory in use across all selected nodes. */
+  used?: ByteSize
   /** Percentage of physical memory in use across all selected nodes. */
   used_percent: integer
 }
 
+export interface ClusterStatsPerRepositoryStats {
+  type: string
+  oldest_start_time_millis: UnitMillis
+  oldest_start_time?: DateFormat
+  current_counts: ClusterStatsRepositoryStatsCurrentCounts
+}
+
 export interface ClusterStatsRemoteClusterInfo {
   /** The UUID of the remote cluster. */
   cluster_uuid: string
@@ -16583,7 +16658,7 @@ export interface ClusterStatsRemoteClusterInfo {
   /** The `skip_unavailable` setting used for this remote cluster. */
   skip_unavailable: boolean
   /** Transport compression setting used for this remote cluster. */
-  transport_compress: string
+  'transport.compress': string
   /** Health status of the cluster, based on the state of its primary and replica shards. */
   status: HealthStatus
   /** The list of Elasticsearch versions used by the nodes on the remote cluster. */
@@ -16608,6 +16683,23 @@ export interface ClusterStatsRemoteClusterInfo {
   mem_total?: string
 }
 
+export interface ClusterStatsRepositoryStatsCurrentCounts {
+  snapshots: integer
+  clones: integer
+  finalizations: integer
+  deletions: integer
+  snapshot_deletions: integer
+  active_deletions: integer
+  shards: ClusterStatsRepositoryStatsShards
+}
+
+export interface ClusterStatsRepositoryStatsShards {
+  total: integer
+  complete: integer
+  incomplete: integer
+  states: Record<ClusterStatsShardState, integer>
+}
+
 export interface ClusterStatsRequest extends RequestBase {
   /** Comma-separated list of node filters used to limit returned information. Defaults to all nodes in the cluster. */
   node_id?: NodeIds
@@ -16656,6 +16748,33 @@ export interface ClusterStatsRuntimeFieldTypes {
   source_total: integer
 }
 
+export interface ClusterStatsSearchUsageStats {
+  total: long
+  queries: Record<Name, long>
+  rescorers: Record<Name, long>
+  sections: Record<Name, long>
+  retrievers: Record<Name, long>
+}
+
+export type ClusterStatsShardState = 'INIT' | 'SUCCESS' | 'FAILED' | 'ABORTED' | 'MISSING' | 'WAITING' | 'QUEUED' | 'PAUSED_FOR_NODE_REMOVAL'
+
+export interface ClusterStatsSnapshotCurrentCounts {
+  /** Snapshots currently in progress */
+  snapshots: integer
+  /** Incomplete shard snapshots */
+  shard_snapshots: integer
+  /** Snapshots deletions in progress */
+  snapshot_deletions: integer
+  /** Sum of snapshots and snapshot_deletions */
+  concurrent_operations: integer
+  /** Cleanups in progress, not counted in concurrent_operations as they are not concurrent */
+  cleanups: integer
+}
+
+export interface ClusterStatsSparseVectorStats {
+  value_count: long
+}
+
 export interface ClusterStatsStatsResponseBase extends NodesNodesResponseBase {
   /** Name of the cluster, based on the cluster name setting. */
   cluster_name: Name
@@ -16665,14 +16784,23 @@ export interface ClusterStatsStatsResponseBase extends NodesNodesResponseBase {
   indices: ClusterStatsClusterIndices
   /** Contains statistics about nodes selected by the request’s node filters. */
   nodes: ClusterStatsClusterNodes
+  /** Contains stats on repository feature usage exposed in cluster stats for telemetry. */
+  repositories: Record<Name, Record<Name, long>>
+  /** Contains stats cluster snapshots. */
+  snapshots: ClusterStatsClusterSnapshotStats
   /** Health status of the cluster, based on the state of its primary and replica shards. */
-  status: HealthStatus
+  status?: HealthStatus
   /** Unix timestamp, in milliseconds, for the last time the cluster statistics were refreshed. */
   timestamp: long
   /** Cross-cluster stats */
   ccs: ClusterStatsCCSStats
 }
 
+export interface ClusterStatsSynonymsStats {
+  count: integer
+  index_count: integer
+}
+
 export interface ConnectorConnector {
   api_key_id?: string
   api_key_secret_id?: string
@@ -17665,8 +17793,12 @@ export interface EqlGetStatusResponse {
 export interface EqlSearchRequest extends RequestBase {
   /** The name of the index to scope the operation */
   index: Indices
+  /** Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes `_all` string or when no indices have been specified) */
   allow_no_indices?: boolean
+  /** Whether to expand wildcard expression to concrete indices that are open, closed or both. */
   expand_wildcards?: ExpandWildcards
+  /** Indicates whether network round-trips should be minimized as part of cross-cluster search requests execution */
+  ccs_minimize_roundtrips?: boolean
   /** If true, missing or closed indices are not included in the response. */
   ignore_unavailable?: boolean
   /** EQL query you wish to run. */
@@ -17704,9 +17836,9 @@ export interface EqlSearchRequest extends RequestBase {
     * `max_samples_per_key` parameter. Pipes are not supported for sample queries. */
   max_samples_per_key?: integer
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { index?: never, allow_no_indices?: never, expand_wildcards?: never, ignore_unavailable?: never, query?: never, case_sensitive?: never, event_category_field?: never, tiebreaker_field?: never, timestamp_field?: never, fetch_size?: never, filter?: never, keep_alive?: never, keep_on_completion?: never, wait_for_completion_timeout?: never, allow_partial_search_results?: never, allow_partial_sequence_results?: never, size?: never, fields?: never, result_position?: never, runtime_mappings?: never, max_samples_per_key?: never }
+  body?: string | { [key: string]: any } & { index?: never, allow_no_indices?: never, expand_wildcards?: never, ccs_minimize_roundtrips?: never, ignore_unavailable?: never, query?: never, case_sensitive?: never, event_category_field?: never, tiebreaker_field?: never, timestamp_field?: never, fetch_size?: never, filter?: never, keep_alive?: never, keep_on_completion?: never, wait_for_completion_timeout?: never, allow_partial_search_results?: never, allow_partial_sequence_results?: never, size?: never, fields?: never, result_position?: never, runtime_mappings?: never, max_samples_per_key?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { index?: never, allow_no_indices?: never, expand_wildcards?: never, ignore_unavailable?: never, query?: never, case_sensitive?: never, event_category_field?: never, tiebreaker_field?: never, timestamp_field?: never, fetch_size?: never, filter?: never, keep_alive?: never, keep_on_completion?: never, wait_for_completion_timeout?: never, allow_partial_search_results?: never, allow_partial_sequence_results?: never, size?: never, fields?: never, result_position?: never, runtime_mappings?: never, max_samples_per_key?: never }
+  querystring?: { [key: string]: any } & { index?: never, allow_no_indices?: never, expand_wildcards?: never, ccs_minimize_roundtrips?: never, ignore_unavailable?: never, query?: never, case_sensitive?: never, event_category_field?: never, tiebreaker_field?: never, timestamp_field?: never, fetch_size?: never, filter?: never, keep_alive?: never, keep_on_completion?: never, wait_for_completion_timeout?: never, allow_partial_search_results?: never, allow_partial_sequence_results?: never, size?: never, fields?: never, result_position?: never, runtime_mappings?: never, max_samples_per_key?: never }
 }
 
 export type EqlSearchResponse<TEvent = unknown> = EqlEqlSearchResponseBase<TEvent>
@@ -19693,6 +19825,10 @@ export interface IndicesDeleteRequest extends RequestBase {
 
 export type IndicesDeleteResponse = IndicesResponseBase
 
+export interface IndicesDeleteAliasIndicesAliasesResponseBody extends AcknowledgedResponseBase {
+  errors?: boolean
+}
+
 export interface IndicesDeleteAliasRequest extends RequestBase {
   /** Comma-separated list of data streams or indices used to limit the request.
     * Supports wildcards (`*`). */
@@ -19712,7 +19848,7 @@ export interface IndicesDeleteAliasRequest extends RequestBase {
   querystring?: { [key: string]: any } & { index?: never, name?: never, master_timeout?: never, timeout?: never }
 }
 
-export type IndicesDeleteAliasResponse = AcknowledgedResponseBase
+export type IndicesDeleteAliasResponse = IndicesDeleteAliasIndicesAliasesResponseBody
 
 export interface IndicesDeleteDataLifecycleRequest extends RequestBase {
   /** A comma-separated list of data streams of which the data stream lifecycle will be deleted; use `*` to get all data streams */
@@ -20869,10 +21005,19 @@ export interface IndicesRecoveryRequest extends RequestBase {
   active_only?: boolean
   /** If `true`, the response includes detailed information about shard recoveries. */
   detailed?: boolean
+  /** If `false`, the request returns an error if any wildcard expression, index alias, or `_all` value targets only missing or closed indices.
+    * This behavior applies even if the request targets other open indices. */
+  allow_no_indices?: boolean
+  /** Type of index that wildcard patterns can match.
+    * If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams.
+    * Supports comma-separated values, such as `open,hidden`. */
+  expand_wildcards?: ExpandWildcards
+  /** If `false`, the request returns an error if it targets a missing or closed index. */
+  ignore_unavailable?: boolean
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { index?: never, active_only?: never, detailed?: never }
+  body?: string | { [key: string]: any } & { index?: never, active_only?: never, detailed?: never, allow_no_indices?: never, expand_wildcards?: never, ignore_unavailable?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { index?: never, active_only?: never, detailed?: never }
+  querystring?: { [key: string]: any } & { index?: never, active_only?: never, detailed?: never, allow_no_indices?: never, expand_wildcards?: never, ignore_unavailable?: never }
 }
 
 export type IndicesRecoveryResponse = Record<IndexName, IndicesRecoveryRecoveryStatus>
@@ -22865,11 +23010,13 @@ export interface InferencePutRequest extends RequestBase {
   task_type?: InferenceTaskType
   /** The inference Id */
   inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   inference_config?: InferenceInferenceEndpoint
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, inference_id?: never, inference_config?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, inference_id?: never, timeout?: never, inference_config?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, inference_id?: never, inference_config?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, inference_id?: never, timeout?: never, inference_config?: never }
 }
 
 export type InferencePutResponse = InferenceInferenceEndpointInfo
@@ -22879,6 +23026,8 @@ export interface InferencePutAlibabacloudRequest extends RequestBase {
   task_type: InferenceAlibabaCloudTaskType
   /** The unique identifier of the inference endpoint. */
   alibabacloud_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `alibabacloud-ai-search`. */
@@ -22889,9 +23038,9 @@ export interface InferencePutAlibabacloudRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceAlibabaCloudTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, alibabacloud_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, alibabacloud_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, alibabacloud_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, alibabacloud_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutAlibabacloudResponse = InferenceInferenceEndpointInfoAlibabaCloudAI
@@ -22901,6 +23050,8 @@ export interface InferencePutAmazonbedrockRequest extends RequestBase {
   task_type: InferenceAmazonBedrockTaskType
   /** The unique identifier of the inference endpoint. */
   amazonbedrock_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `amazonbedrock`. */
@@ -22911,9 +23062,9 @@ export interface InferencePutAmazonbedrockRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceAmazonBedrockTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, amazonbedrock_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, amazonbedrock_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, amazonbedrock_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, amazonbedrock_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutAmazonbedrockResponse = InferenceInferenceEndpointInfoAmazonBedrock
@@ -22924,6 +23075,8 @@ export interface InferencePutAnthropicRequest extends RequestBase {
   task_type: InferenceAnthropicTaskType
   /** The unique identifier of the inference endpoint. */
   anthropic_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `anthropic`. */
@@ -22934,9 +23087,9 @@ export interface InferencePutAnthropicRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceAnthropicTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, anthropic_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, anthropic_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, anthropic_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, anthropic_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutAnthropicResponse = InferenceInferenceEndpointInfoAnthropic
@@ -22946,6 +23099,8 @@ export interface InferencePutAzureaistudioRequest extends RequestBase {
   task_type: InferenceAzureAiStudioTaskType
   /** The unique identifier of the inference endpoint. */
   azureaistudio_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `azureaistudio`. */
@@ -22956,9 +23111,9 @@ export interface InferencePutAzureaistudioRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceAzureAiStudioTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, azureaistudio_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, azureaistudio_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, azureaistudio_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, azureaistudio_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutAzureaistudioResponse = InferenceInferenceEndpointInfoAzureAIStudio
@@ -22969,6 +23124,8 @@ export interface InferencePutAzureopenaiRequest extends RequestBase {
   task_type: InferenceAzureOpenAITaskType
   /** The unique identifier of the inference endpoint. */
   azureopenai_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `azureopenai`. */
@@ -22979,9 +23136,9 @@ export interface InferencePutAzureopenaiRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceAzureOpenAITaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, azureopenai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, azureopenai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, azureopenai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, azureopenai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutAzureopenaiResponse = InferenceInferenceEndpointInfoAzureOpenAI
@@ -22991,6 +23148,8 @@ export interface InferencePutCohereRequest extends RequestBase {
   task_type: InferenceCohereTaskType
   /** The unique identifier of the inference endpoint. */
   cohere_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `cohere`. */
@@ -23002,9 +23161,9 @@ export interface InferencePutCohereRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceCohereTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, cohere_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, cohere_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, cohere_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, cohere_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutCohereResponse = InferenceInferenceEndpointInfoCohere
@@ -23015,6 +23174,8 @@ export interface InferencePutElasticsearchRequest extends RequestBase {
   /** The unique identifier of the inference endpoint.
     * The must not match the `model_id`. */
   elasticsearch_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `elasticsearch`. */
@@ -23025,9 +23186,9 @@ export interface InferencePutElasticsearchRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceElasticsearchTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, elasticsearch_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, elasticsearch_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, elasticsearch_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, elasticsearch_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutElasticsearchResponse = InferenceInferenceEndpointInfoElasticsearch
@@ -23037,6 +23198,8 @@ export interface InferencePutElserRequest extends RequestBase {
   task_type: InferenceElserTaskType
   /** The unique identifier of the inference endpoint. */
   elser_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `elser`. */
@@ -23044,9 +23207,9 @@ export interface InferencePutElserRequest extends RequestBase {
   /** Settings used to install the inference model. These settings are specific to the `elser` service. */
   service_settings: InferenceElserServiceSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, elser_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, elser_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, elser_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, elser_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
 }
 
 export type InferencePutElserResponse = InferenceInferenceEndpointInfoELSER
@@ -23056,6 +23219,8 @@ export interface InferencePutGoogleaistudioRequest extends RequestBase {
   task_type: InferenceGoogleAiStudioTaskType
   /** The unique identifier of the inference endpoint. */
   googleaistudio_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `googleaistudio`. */
@@ -23063,9 +23228,9 @@ export interface InferencePutGoogleaistudioRequest extends RequestBase {
   /** Settings used to install the inference model. These settings are specific to the `googleaistudio` service. */
   service_settings: InferenceGoogleAiStudioServiceSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, googleaistudio_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, googleaistudio_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, googleaistudio_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, googleaistudio_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
 }
 
 export type InferencePutGoogleaistudioResponse = InferenceInferenceEndpointInfoGoogleAIStudio
@@ -23075,6 +23240,8 @@ export interface InferencePutGooglevertexaiRequest extends RequestBase {
   task_type: InferenceGoogleVertexAITaskType
   /** The unique identifier of the inference endpoint. */
   googlevertexai_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `googlevertexai`. */
@@ -23085,9 +23252,9 @@ export interface InferencePutGooglevertexaiRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceGoogleVertexAITaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, googlevertexai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, googlevertexai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, googlevertexai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, googlevertexai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutGooglevertexaiResponse = InferenceInferenceEndpointInfoGoogleVertexAI
@@ -23097,6 +23264,8 @@ export interface InferencePutHuggingFaceRequest extends RequestBase {
   task_type: InferenceHuggingFaceTaskType
   /** The unique identifier of the inference endpoint. */
   huggingface_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `hugging_face`. */
@@ -23104,9 +23273,9 @@ export interface InferencePutHuggingFaceRequest extends RequestBase {
   /** Settings used to install the inference model. These settings are specific to the `hugging_face` service. */
   service_settings: InferenceHuggingFaceServiceSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, huggingface_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, huggingface_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, huggingface_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, huggingface_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
 }
 
 export type InferencePutHuggingFaceResponse = InferenceInferenceEndpointInfoHuggingFace
@@ -23116,6 +23285,8 @@ export interface InferencePutJinaaiRequest extends RequestBase {
   task_type: InferenceJinaAITaskType
   /** The unique identifier of the inference endpoint. */
   jinaai_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `jinaai`. */
@@ -23126,9 +23297,9 @@ export interface InferencePutJinaaiRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceJinaAITaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, jinaai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, jinaai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, jinaai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, jinaai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutJinaaiResponse = InferenceInferenceEndpointInfoJinaAi
@@ -23139,6 +23310,8 @@ export interface InferencePutMistralRequest extends RequestBase {
   task_type: InferenceMistralTaskType
   /** The unique identifier of the inference endpoint. */
   mistral_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `mistral`. */
@@ -23146,9 +23319,9 @@ export interface InferencePutMistralRequest extends RequestBase {
   /** Settings used to install the inference model. These settings are specific to the `mistral` service. */
   service_settings: InferenceMistralServiceSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, mistral_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, mistral_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, mistral_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, mistral_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never }
 }
 
 export type InferencePutMistralResponse = InferenceInferenceEndpointInfoMistral
@@ -23159,6 +23332,8 @@ export interface InferencePutOpenaiRequest extends RequestBase {
   task_type: InferenceOpenAITaskType
   /** The unique identifier of the inference endpoint. */
   openai_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `openai`. */
@@ -23169,9 +23344,9 @@ export interface InferencePutOpenaiRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceOpenAITaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, openai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, openai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, openai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, openai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutOpenaiResponse = InferenceInferenceEndpointInfoOpenAI
@@ -23181,6 +23356,8 @@ export interface InferencePutVoyageaiRequest extends RequestBase {
   task_type: InferenceVoyageAITaskType
   /** The unique identifier of the inference endpoint. */
   voyageai_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The chunking configuration object. */
   chunking_settings?: InferenceInferenceChunkingSettings
   /** The type of service supported for the specified task type. In this case, `voyageai`. */
@@ -23191,9 +23368,9 @@ export interface InferencePutVoyageaiRequest extends RequestBase {
     * These settings are specific to the task type you specified. */
   task_settings?: InferenceVoyageAITaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, voyageai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, voyageai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, voyageai_inference_id?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, voyageai_inference_id?: never, timeout?: never, chunking_settings?: never, service?: never, service_settings?: never, task_settings?: never }
 }
 
 export type InferencePutVoyageaiResponse = InferenceInferenceEndpointInfoVoyageAI
@@ -23204,14 +23381,16 @@ export interface InferencePutWatsonxRequest extends RequestBase {
   task_type: InferenceWatsonxTaskType
   /** The unique identifier of the inference endpoint. */
   watsonx_inference_id: Id
+  /** Specifies the amount of time to wait for the inference endpoint to be created. */
+  timeout?: Duration
   /** The type of service supported for the specified task type. In this case, `watsonxai`. */
   service: InferenceWatsonxServiceType
   /** Settings used to install the inference model. These settings are specific to the `watsonxai` service. */
   service_settings: InferenceWatsonxServiceSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { task_type?: never, watsonx_inference_id?: never, service?: never, service_settings?: never }
+  body?: string | { [key: string]: any } & { task_type?: never, watsonx_inference_id?: never, timeout?: never, service?: never, service_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { task_type?: never, watsonx_inference_id?: never, service?: never, service_settings?: never }
+  querystring?: { [key: string]: any } & { task_type?: never, watsonx_inference_id?: never, timeout?: never, service?: never, service_settings?: never }
 }
 
 export type InferencePutWatsonxResponse = InferenceInferenceEndpointInfoWatsonx
@@ -23261,6 +23440,8 @@ export type InferenceSparseEmbeddingResponse = InferenceSparseEmbeddingInference
 export interface InferenceStreamCompletionRequest extends RequestBase {
   /** The unique identifier for the inference endpoint. */
   inference_id: Id
+  /** The amount of time to wait for the inference request to complete. */
+  timeout?: Duration
   /** The text on which you want to perform the inference task.
     * It can be a single string or an array.
     *
@@ -23269,9 +23450,9 @@ export interface InferenceStreamCompletionRequest extends RequestBase {
   /** Optional task settings */
   task_settings?: InferenceTaskSettings
   /** All values in `body` will be added to the request body. */
-  body?: string | { [key: string]: any } & { inference_id?: never, input?: never, task_settings?: never }
+  body?: string | { [key: string]: any } & { inference_id?: never, timeout?: never, input?: never, task_settings?: never }
   /** All values in `querystring` will be added to the request querystring. */
-  querystring?: { [key: string]: any } & { inference_id?: never, input?: never, task_settings?: never }
+  querystring?: { [key: string]: any } & { inference_id?: never, timeout?: never, input?: never, task_settings?: never }
 }
 
 export type InferenceStreamCompletionResponse = StreamResult
@@ -29849,6 +30030,8 @@ export interface NodesJvmMemoryStats {
   heap_committed_in_bytes?: long
   /** Maximum amount of memory, in bytes, available for use by the heap. */
   heap_max_in_bytes?: long
+  /** Maximum amount of memory, available for use by the heap. */
+  heap_max?: ByteSize
   /** Non-heap memory used, in bytes. */
   non_heap_used_in_bytes?: long
   /** Amount of non-heap memory available, in bytes. */
@@ -29958,6 +30141,8 @@ export interface NodesPressureMemory {
   primary_rejections?: long
   /** Number of indexing requests rejected in the replica stage. */
   replica_rejections?: long
+  primary_document_rejections?: long
+  large_operation_rejections?: long
 }
 
 export interface NodesProcess {