Auto-generated code for 8.16 (#2502)

docs/doc_examples/015e6e6132b6d6d44bddb06bc3b316ed.asciidoc

@@ -0,0 +1,46 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              range: {
+                year: {
+                  gt: 2023,
+                },
+              },
+            },
+          },
+        },
+        {
+          standard: {
+            query: {
+              term: {
+                topic: "elastic",
+              },
+            },
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  _source: false,
+  aggs: {
+    topics: {
+      terms: {
+        field: "topic",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/0165d22da5f2fc7678392b31d8eb5566.asciidoc

@@ -0,0 +1,18 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.inference.put({
+  task_type: "rerank",
+  inference_id: "my-rerank-model",
+  inference_config: {
+    service: "cohere",
+    service_settings: {
+      model_id: "rerank-english-v3.0",
+      api_key: "{{COHERE_API_KEY}}",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/0bc6155e0c88062a4d8490da49db3aa8.asciidoc

@@ -0,0 +1,49 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example_nested",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              nested: {
+                path: "nested_field",
+                inner_hits: {
+                  name: "nested_vector",
+                  _source: false,
+                  fields: ["nested_field.paragraph_id"],
+                },
+                query: {
+                  knn: {
+                    field: "nested_field.nested_vector",
+                    query_vector: [1, 0, 0.5],
+                    k: 10,
+                  },
+                },
+              },
+            },
+          },
+        },
+        {
+          standard: {
+            query: {
+              term: {
+                topic: "ai",
+              },
+            },
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  _source: ["topic"],
+});
+console.log(response);
+----

docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

@@ -3,8 +3,12 @@
 
 [source, js]
 ----
-const response = await client.esql.asyncQuery({
+const response = await client.transport.request({
-  format: "json",
+  method: "POST",
+  path: "/_query/async",
+  querystring: {
+    format: "json",
+  },
   body: {
     query:
       "\n    FROM my-index-000001,cluster_one:my-index-000001,cluster_two:my-index*\n    | STATS COUNT(http.response.status_code) BY user.id\n    | LIMIT 2\n  ",

docs/doc_examples/0d689ac6e78be5d438f9b5d441be2b44.asciidoc

@@ -0,0 +1,57 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              term: {
+                topic: "elastic",
+              },
+            },
+          },
+        },
+        {
+          rrf: {
+            retrievers: [
+              {
+                standard: {
+                  query: {
+                    query_string: {
+                      query:
+                        "(information retrieval) OR (artificial intelligence)",
+                      default_field: "text",
+                    },
+                  },
+                },
+              },
+              {
+                knn: {
+                  field: "vector",
+                  query_vector: [0.23, 0.67, 0.89],
+                  k: 3,
+                  num_candidates: 5,
+                },
+              },
+            ],
+            rank_window_size: 10,
+            rank_constant: 1,
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  _source: false,
+  size: 1,
+  explain: true,
+});
+console.log(response);
+----

docs/doc_examples/0dfde6a9d953822fd4b3aa0121ddd8fb.asciidoc

@@ -3,8 +3,9 @@
 
 [source, js]
 ----
-const response = await client.searchApplication.renderQuery({
+const response = await client.transport.request({
-  name: "my-app",
+  method: "POST",
+  path: "/_application/search_application/my-app/_render_query",
   body: {
     params: {
       query_string: "my first query",

docs/doc_examples/16634cfa7916cf4e8048a1d70e6240f2.asciidoc

@@ -11,7 +11,7 @@ const response = await client.searchApplication.put({
       script: {
         lang: "mustache",
         source:
-          '\n        {\n          "query": {\n            "bool": {\n              "must": [\n              {{#query}}\n                \n              {{/query}}\n            ],\n            "filter": {{#toJson}}_es_filters{{/toJson}}\n            }\n          },\n          "_source": {\n            "includes": ["title", "plot"]\n            },\n            "highlight": {\n              "fields": {\n                "title": { "fragment_size": 0 },\n                "plot": { "fragment_size": 200 }\n                }\n                },\n                "aggs": {{#toJson}}_es_aggs{{/toJson}},\n                "from": {{from}},\n                "size": {{size}},\n                "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n                }\n                ',
+          '\n        {\n          "query": {\n            "bool": {\n              "must": [\n              {{#query}}\n              {{/query}}\n            ],\n            "filter": {{#toJson}}_es_filters{{/toJson}}\n            }\n          },\n          "_source": {\n            "includes": ["title", "plot"]\n            },\n            "highlight": {\n              "fields": {\n                "title": { "fragment_size": 0 },\n                "plot": { "fragment_size": 200 }\n                }\n                },\n                "aggs": {{#toJson}}_es_aggs{{/toJson}},\n                "from": {{from}},\n                "size": {{size}},\n                "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n                }\n                ',
         params: {
           query: "",
           _es_filters: {},

docs/doc_examples/17b1647c8509543f2388c886f2584a20.asciidoc

@@ -16,7 +16,7 @@ const response = await client.search({
         },
       },
       field: "text",
-      inference_id: "my-cohere-rerank-model",
+      inference_id: "elastic-rerank",
       inference_text: "How often does the moon hide the sun?",
       rank_window_size: 100,
       min_score: 0.5,

docs/doc_examples/19c00c6b29bc7dbc5e92b3668da2da93.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.simulate.ingest({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_ingest/_simulate",
   body: {
     docs: [
       {

docs/doc_examples/22b176a184517cf1b5801f5eb4f17f97.asciidoc

@@ -3,8 +3,8 @@
 
 [source, js]
 ----
-const response = await client.cluster.getSettings({
+const response = await client.indices.rollover({
-  flat_settings: "true",
+  alias: "datastream",
 });
 console.log(response);
 ----

docs/doc_examples/2577acb462b95bd4394523cf2f8a661f.asciidoc

@@ -1,28 +0,0 @@
-// This file is autogenerated, DO NOT EDIT
-// Use `node scripts/generate-docs-examples.js` to generate the docs examples
-
-[source, js]
-----
-const response = await client.esql.query({
-  format: "txt",
-  query:
-    "\n      FROM library\n    | SORT page_count DESC\n    | KEEP name, author\n    | LOOKUP era ON author\n    | LIMIT 5\n  ",
-  tables: {
-    era: {
-      author: {
-        keyword: [
-          "Frank Herbert",
-          "Peter F. Hamilton",
-          "Vernor Vinge",
-          "Alastair Reynolds",
-          "James S.A. Corey",
-        ],
-      },
-      era: {
-        keyword: ["The New Wave", "Diamond", "Diamond", "Diamond", "Hadron"],
-      },
-    },
-  },
-});
-console.log(response);
-----

docs/doc_examples/2a1eece9a59ac1773edcf0a932c26de0.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.oidcLogout({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/oidc/logout",
   body: {
     token:
       "dGhpcyBpcyBub3QgYSByZWFsIHRva2VuIGJ1dCBpdCBpcyBvbmx5IHRlc3QgZGF0YS4gZG8gbm90IHRyeSB0byByZWFkIHRva2VuIQ==",

docs/doc_examples/2afdf0d83724953aa2875b5fb37d60cc.asciidoc

@@ -3,10 +3,12 @@
 
 [source, js]
 ----
-const response = await client.esql.asyncQueryGet({
+const response = await client.transport.request({
-  id: "FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
+  method: "GET",
-  wait_for_completion_timeout: "30s",
+  path: "/_query/async/FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
-  body: null,
+  querystring: {
+    wait_for_completion_timeout: "30s",
+  },
 });
 console.log(response);
 ----

docs/doc_examples/2bb41b0b4876ce98cd0cd8fb6d337f18.asciidoc

@@ -1,16 +0,0 @@
-// This file is autogenerated, DO NOT EDIT
-// Use `node scripts/generate-docs-examples.js` to generate the docs examples
-
-[source, js]
-----
-const response = await client.cluster.putSettings({
-  persistent: {
-    "cluster.indices.close.enable": false,
-    "indices.recovery.max_bytes_per_sec": "50mb",
-  },
-  transient: {
-    "*": null,
-  },
-});
-console.log(response);
-----

docs/doc_examples/30d051f534aeb884176eedb2c11dac85.asciidoc

@@ -0,0 +1,23 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.inference.put({
+  task_type: "rerank",
+  inference_id: "my-elastic-rerank",
+  inference_config: {
+    service: "elasticsearch",
+    service_settings: {
+      model_id: ".rerank-v1",
+      num_threads: 1,
+      adaptive_allocations: {
+        enabled: true,
+        min_number_of_allocations: 1,
+        max_number_of_allocations: 4,
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/3f1fe5f5f99b98d0891f38003e10b636.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.esql.asyncQuery({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_query/async",
   body: {
     query:
       "\n    FROM library\n    | EVAL year = DATE_TRUNC(1 YEARS, release_date)\n    | STATS MAX(page_count) BY year\n    | SORT year\n    | LIMIT 5\n  ",

docs/doc_examples/405511f7c1f12cc0a227b4563fe7b2e2.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.esql.asyncQueryGet({
+const response = await client.transport.request({
-  id: "FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
+  method: "GET",
-  body: null,
+  path: "/_query/async/FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
 });
 console.log(response);
 ----

docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.inference.streamInference({
+const response = await client.transport.request({
-  task_type: "completion",
+  method: "POST",
-  inference_id: "openai-completion",
+  path: "/_inference/completion/openai-completion/_stream",
   body: {
     input: "What is Elastic?",
   },

docs/doc_examples/4edfb5934d14ad7655bd7e19a112b5c0.asciidoc

@@ -8,11 +8,6 @@ const response = await client.search({
   query: {
     bool: {
       must: [
-        {
-          term: {
-            "category.keyword": "Main Course",
-          },
-        },
         {
           term: {
             tags: "vegetarian",
@@ -27,6 +22,11 @@ const response = await client.search({
         },
       ],
       should: [
+        {
+          term: {
+            category: "Main Course",
+          },
+        },
         {
           multi_match: {
             query: "curry spicy",

docs/doc_examples/57dc15e5ad663c342fd5c1d86fcd1b29.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.oidcPrepareAuthentication({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/oidc/prepare",
   body: {
     realm: "oidc1",
     state: "lGYK0EcSLjqH6pkT5EVZjC6eIW5YCGgywj2sxROO",

docs/doc_examples/5bba213a7f543190139d1a69ab2ed076.asciidoc

@@ -3,8 +3,12 @@
 
 [source, js]
 ----
-const response = await client.esql.asyncQuery({
+const response = await client.transport.request({
-  format: "json",
+  method: "POST",
+  path: "/_query/async",
+  querystring: {
+    format: "json",
+  },
   body: {
     query:
       "\n    FROM cluster_one:my-index*,cluster_two:logs*\n    | STATS COUNT(http.response.status_code) BY user.id\n    | LIMIT 2\n  ",

docs/doc_examples/5f16358ebb5d14b86f57612d5f92d923.asciidoc

@@ -9,7 +9,6 @@ const response = await client.indices.create({
     properties: {
       inference_field: {
         type: "semantic_text",
-        inference_id: "my-elser-endpoint",
       },
     },
   },

docs/doc_examples/68d7f7d4d268ee98caead5aef19933d6.asciidoc

@@ -45,7 +45,7 @@ console.log(response);
 
 const response1 = await client.indices.putIndexTemplate({
   name: 2,
-  index_patterns: ["k8s*"],
+  index_patterns: ["k9s*"],
   composed_of: ["destination_template"],
   data_stream: {},
 });

docs/doc_examples/6b6fd0a5942dfb9762ad2790cf421a80.asciidoc

@@ -11,7 +11,7 @@ const response = await client.searchApplication.put({
       script: {
         lang: "mustache",
         source:
-          '\n        {\n          "query": {\n            "bool": {\n              "must": [\n              {{#query}}\n                \n              {{/query}}\n            ],\n            "filter": {{#toJson}}_es_filters{{/toJson}}\n            }\n          },\n          "_source": {\n            "includes": ["title", "plot"]\n          },\n          "aggs": {{#toJson}}_es_aggs{{/toJson}},\n          "from": {{from}},\n          "size": {{size}},\n          "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n        }\n      ',
+          '\n        {\n          "query": {\n            "bool": {\n              "must": [\n              {{#query}}\n              {{/query}}\n            ],\n            "filter": {{#toJson}}_es_filters{{/toJson}}\n            }\n          },\n          "_source": {\n            "includes": ["title", "plot"]\n          },\n          "aggs": {{#toJson}}_es_aggs{{/toJson}},\n          "from": {{from}},\n          "size": {{size}},\n          "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n        }\n      ',
         params: {
           query: "",
           _es_filters: {},

docs/doc_examples/6f3b723bf6179b96c3413597ed7f49e1.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.bulkUpdateApiKeys({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/api_key/_bulk_update",
   body: {
     ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
   },

docs/doc_examples/76e02434835630cb830724beb92df354.asciidoc

@@ -0,0 +1,44 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          knn: {
+            field: "vector",
+            query_vector: [0.23, 0.67, 0.89],
+            k: 3,
+            num_candidates: 5,
+          },
+        },
+        {
+          text_similarity_reranker: {
+            retriever: {
+              standard: {
+                query: {
+                  term: {
+                    topic: "ai",
+                  },
+                },
+              },
+            },
+            field: "text",
+            inference_id: "my-rerank-model",
+            inference_text:
+              "Can I use generative AI to identify user intent and improve search relevance?",
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/77518e8c6198acfe77c0934fd2fe65cb.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.textStructure.findMessageStructure({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_text_structure/find_message_structure",
   body: {
     messages: [
       "[2024-03-05T10:52:36,256][INFO ][o.a.l.u.VectorUtilPanamaProvider] [laptop] Java vector incubator API enabled; uses preferredBitSize=128",

docs/doc_examples/78043831fd32004a82930c8ac8a1d809.asciidoc

@@ -0,0 +1,46 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    text_similarity_reranker: {
+      retriever: {
+        rrf: {
+          retrievers: [
+            {
+              standard: {
+                query: {
+                  query_string: {
+                    query:
+                      "(information retrieval) OR (artificial intelligence)",
+                    default_field: "text",
+                  },
+                },
+              },
+            },
+            {
+              knn: {
+                field: "vector",
+                query_vector: [0.23, 0.67, 0.89],
+                k: 3,
+                num_candidates: 5,
+              },
+            },
+          ],
+          rank_window_size: 10,
+          rank_constant: 1,
+        },
+      },
+      field: "text",
+      inference_id: "my-rerank-model",
+      inference_text:
+        "What are the state of the art applications of AI in information retrieval?",
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/79d206a528be704050a437adce2496dd.asciidoc

@@ -0,0 +1,23 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.inference.put({
+  task_type: "rerank",
+  inference_id: "my-elastic-rerank",
+  inference_config: {
+    service: "elasticsearch",
+    service_settings: {
+      model_id: ".rerank-v1",
+      num_threads: 1,
+      adaptive_allocations: {
+        enabled: true,
+        min_number_of_allocations: 1,
+        max_number_of_allocations: 10,
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/7a2fdfd7b0553d63440af7598f9ad867.asciidoc

@@ -4,7 +4,7 @@
 [source, js]
 ----
 const response = await client.indices.create({
-  index: "my-index-000002",
+  index: "my-index-000003",
   mappings: {
     properties: {
       inference_field: {

docs/doc_examples/7ba29f0be2297b54a640b0a17d7ef5ca.asciidoc

@@ -0,0 +1,11 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.transport.request({
+  method: "DELETE",
+  path: "/_ingest/ip_location/database/my-database-id",
+});
+console.log(response);
+----

docs/doc_examples/80dd7f5882c59b9c1c90e8351937441f.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.bulkUpdateApiKeys({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/api_key/_bulk_update",
   body: {
     ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
     role_descriptors: {

docs/doc_examples/8a0b5f759de3f27f0801c1176e616117.asciidoc

@@ -9,7 +9,6 @@ const response = await client.indices.create({
     properties: {
       content: {
         type: "semantic_text",
-        inference_id: "my-elser-endpoint",
       },
     },
   },

docs/doc_examples/91e106a2affbc8df32cd940684a779ed.asciidoc

@@ -0,0 +1,17 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.transport.request({
+  method: "PUT",
+  path: "/_ingest/ip_location/database/my-database-1",
+  body: {
+    name: "GeoIP2-Domain",
+    maxmind: {
+      account_id: "1234567",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/96e88611f99e6834bd64b58dc8a282c1.asciidoc

@@ -0,0 +1,18 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.indices.create({
+  index: "my-index-000002",
+  mappings: {
+    properties: {
+      inference_field: {
+        type: "semantic_text",
+        inference_id: "my-openai-endpoint",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/97c6c07f46f4177f0565a04bc50924a3.asciidoc

@@ -0,0 +1,37 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              query_string: {
+                query: "(information retrieval) OR (artificial intelligence)",
+                default_field: "text",
+              },
+            },
+          },
+        },
+        {
+          knn: {
+            field: "vector",
+            query_vector: [0.23, 0.67, 0.89],
+            k: 3,
+            num_candidates: 5,
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/99fb82d49ac477e6a9dfdd71f9465374.asciidoc

@@ -0,0 +1,11 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.transport.request({
+  method: "DELETE",
+  path: "/_ingest/ip_location/database/example-database-id",
+});
+console.log(response);
+----

docs/doc_examples/9afa0844883b7471883aa378a8dd10b4.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.searchApplication.postBehavioralAnalyticsEvent({
+const response = await client.transport.request({
-  collection_name: "my_analytics_collection",
+  method: "POST",
-  event_type: "search_click",
+  path: "/_application/analytics/my_analytics_collection/event/search_click",
   body: {
     session: {
       id: "1797ca95-91c9-4e2e-b1bd-9c38e6f386a9",

docs/doc_examples/9c01db07c9ac395b6370e3b33965c21f.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.oidcAuthenticate({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/oidc/authenticate",
   body: {
     redirect_uri:
       "https://oidc-kibana.elastic.co:5603/api/security/oidc/callback?code=jtI3Ntt8v3_XvcLzCFGq&state=4dbrihtIAt3wBTwo6DxK-vdk-sSyDBV8Yf0AjdkdT5I",

docs/doc_examples/a162eb50853331c80596f5994e9d1c38.asciidoc

@@ -3,8 +3,9 @@
 
 [source, js]
 ----
-const response = await client.searchApplication.renderQuery({
+const response = await client.transport.request({
-  name: "my_search_application",
+  method: "POST",
+  path: "/_application/search_application/my_search_application/_render_query",
   body: {
     params: {
       query_string: "rock climbing",

docs/doc_examples/a9f14efc26fdd3c37a71f06c310163d9.asciidoc

@@ -0,0 +1,27 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  retriever: {
+    text_similarity_reranker: {
+      retriever: {
+        standard: {
+          query: {
+            match: {
+              text: "How often does the moon hide the sun?",
+            },
+          },
+        },
+      },
+      field: "text",
+      inference_id: "my-elastic-rerank",
+      inference_text: "How often does the moon hide the sun?",
+      rank_window_size: 100,
+      min_score: 0.5,
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/ac22cc2b0f4ad659055feed2852a2d59.asciidoc

@@ -0,0 +1,37 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    text_similarity_reranker: {
+      retriever: {
+        text_similarity_reranker: {
+          retriever: {
+            knn: {
+              field: "vector",
+              query_vector: [0.23, 0.67, 0.89],
+              k: 3,
+              num_candidates: 5,
+            },
+          },
+          rank_window_size: 100,
+          field: "text",
+          inference_id: "my-rerank-model",
+          inference_text:
+            "What are the state of the art applications of AI in information retrieval?",
+        },
+      },
+      rank_window_size: 10,
+      field: "text",
+      inference_id: "my-other-more-expensive-rerank-model",
+      inference_text:
+        "Applications of Large Language Models in technology and their impact on user satisfaction",
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/ad9889fd8a4b5930e312a51f3bc996dc.asciidoc

@@ -12,7 +12,7 @@ const response = await client.inference.put({
       adaptive_allocations: {
         enabled: true,
         min_number_of_allocations: 1,
-        max_number_of_allocations: 10,
+        max_number_of_allocations: 4,
       },
       num_threads: 1,
       model_id: ".elser_model_2",

docs/doc_examples/b0bddf2ffaa83049b195829c06b875cd.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.searchApplication.renderQuery({
+const response = await client.transport.request({
-  name: "my_search_application",
+  method: "POST",
-  body: null,
+  path: "/_application/search_application/my_search_application/_render_query",
 });
 console.log(response);
 ----

docs/doc_examples/b62eaa20c4e0e48134a6d1d1b3c30b26.asciidoc

@@ -208,10 +208,13 @@ const response = await client.bulk({
 });
 console.log(response);
 
-const response1 = await client.textStructure.findFieldStructure({
+const response1 = await client.transport.request({
-  index: "test-logs",
+  method: "GET",
-  field: "message",
+  path: "/_text_structure/find_field_structure",
-  body: null,
+  querystring: {
+    index: "test-logs",
+    field: "message",
+  },
 });
 console.log(response1);
 ----

docs/doc_examples/bb2ba5d1885f87506f90dbb002e518f4.asciidoc

@@ -0,0 +1,45 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              query_string: {
+                query: "(information retrieval) OR (artificial intelligence)",
+                default_field: "text",
+              },
+            },
+          },
+        },
+        {
+          knn: {
+            field: "vector",
+            query_vector: [0.23, 0.67, 0.89],
+            k: 3,
+            num_candidates: 5,
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  highlight: {
+    fields: {
+      text: {
+        fragment_size: 150,
+        number_of_fragments: 3,
+      },
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/bcdfaa4487747249699a86a0dcd22f5e.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.simulate.ingest({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_ingest/_simulate",
   body: {
     docs: [
       {

docs/doc_examples/bee3fda7bb07086243424b62e5b16ca7.asciidoc

@@ -0,0 +1,83 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.indices.create({
+  index: "retrievers_example_nested",
+  mappings: {
+    properties: {
+      nested_field: {
+        type: "nested",
+        properties: {
+          paragraph_id: {
+            type: "keyword",
+          },
+          nested_vector: {
+            type: "dense_vector",
+            dims: 3,
+            similarity: "l2_norm",
+            index: true,
+          },
+        },
+      },
+      topic: {
+        type: "keyword",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "retrievers_example_nested",
+  id: 1,
+  document: {
+    nested_field: [
+      {
+        paragraph_id: "1a",
+        nested_vector: [-1.12, -0.59, 0.78],
+      },
+      {
+        paragraph_id: "1b",
+        nested_vector: [-0.12, 1.56, 0.42],
+      },
+      {
+        paragraph_id: "1c",
+        nested_vector: [1, -1, 0],
+      },
+    ],
+    topic: ["ai"],
+  },
+});
+console.log(response1);
+
+const response2 = await client.index({
+  index: "retrievers_example_nested",
+  id: 2,
+  document: {
+    nested_field: [
+      {
+        paragraph_id: "2a",
+        nested_vector: [0.23, 1.24, 0.65],
+      },
+    ],
+    topic: ["information_retrieval"],
+  },
+});
+console.log(response2);
+
+const response3 = await client.index({
+  index: "retrievers_example_nested",
+  id: 3,
+  document: {
+    topic: ["ai"],
+  },
+});
+console.log(response3);
+
+const response4 = await client.indices.refresh({
+  index: "retrievers_example_nested",
+});
+console.log(response4);
+----

docs/doc_examples/c580990a70028bb49cca8a6bde86bbf6.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.bulkUpdateApiKeys({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/api_key/_bulk_update",
   body: {
     ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
     role_descriptors: {},

docs/doc_examples/ccc613951c61f0b17e1ed8a2d3ae54a2.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.simulate.ingest({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_ingest/_simulate",
   body: {
     docs: [
       {

docs/doc_examples/d35c8cf7a98b3f112e1de8797ec6689d.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.oidcPrepareAuthentication({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/oidc/prepare",
   body: {
     iss: "http://127.0.0.1:8080",
     login_hint: "this_is_an_opaque_string",

docs/doc_examples/d4158d486e7fee2702a14068b69e3b33.asciidoc

@@ -0,0 +1,154 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.indices.putIndexTemplate({
+  name: "datastream_template",
+  index_patterns: ["datastream*"],
+  data_stream: {},
+  template: {
+    lifecycle: {
+      downsampling: [
+        {
+          after: "1m",
+          fixed_interval: "1h",
+        },
+      ],
+    },
+    settings: {
+      index: {
+        mode: "time_series",
+      },
+    },
+    mappings: {
+      properties: {
+        "@timestamp": {
+          type: "date",
+        },
+        kubernetes: {
+          properties: {
+            container: {
+              properties: {
+                cpu: {
+                  properties: {
+                    usage: {
+                      properties: {
+                        core: {
+                          properties: {
+                            ns: {
+                              type: "long",
+                            },
+                          },
+                        },
+                        limit: {
+                          properties: {
+                            pct: {
+                              type: "float",
+                            },
+                          },
+                        },
+                        nanocores: {
+                          type: "long",
+                          time_series_metric: "gauge",
+                        },
+                        node: {
+                          properties: {
+                            pct: {
+                              type: "float",
+                            },
+                          },
+                        },
+                      },
+                    },
+                  },
+                },
+                memory: {
+                  properties: {
+                    available: {
+                      properties: {
+                        bytes: {
+                          type: "long",
+                          time_series_metric: "gauge",
+                        },
+                      },
+                    },
+                    majorpagefaults: {
+                      type: "long",
+                    },
+                    pagefaults: {
+                      type: "long",
+                      time_series_metric: "gauge",
+                    },
+                    rss: {
+                      properties: {
+                        bytes: {
+                          type: "long",
+                          time_series_metric: "gauge",
+                        },
+                      },
+                    },
+                    usage: {
+                      properties: {
+                        bytes: {
+                          type: "long",
+                          time_series_metric: "gauge",
+                        },
+                        limit: {
+                          properties: {
+                            pct: {
+                              type: "float",
+                            },
+                          },
+                        },
+                        node: {
+                          properties: {
+                            pct: {
+                              type: "float",
+                            },
+                          },
+                        },
+                      },
+                    },
+                    workingset: {
+                      properties: {
+                        bytes: {
+                          type: "long",
+                          time_series_metric: "gauge",
+                        },
+                      },
+                    },
+                  },
+                },
+                name: {
+                  type: "keyword",
+                },
+                start_time: {
+                  type: "date",
+                },
+              },
+            },
+            host: {
+              type: "keyword",
+              time_series_dimension: true,
+            },
+            namespace: {
+              type: "keyword",
+              time_series_dimension: true,
+            },
+            node: {
+              type: "keyword",
+              time_series_dimension: true,
+            },
+            pod: {
+              type: "keyword",
+              time_series_dimension: true,
+            },
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/d4df39f72d3a3b80cd4042f6a21c3f19.asciidoc

@@ -0,0 +1,15 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.transport.request({
+  method: "PUT",
+  path: "/_ingest/ip_location/database/my-database-2",
+  body: {
+    name: "standard_location",
+    ipinfo: {},
+  },
+});
+console.log(response);
+----

docs/doc_examples/d8c053ee26c1533ce936ec81101d8e1b.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.cluster.getSettings({
+const response = await client.transport.request({
-  flat_settings: "true",
+  method: "GET",
-  filter_path: "transient",
+  path: "/_ingest/ip_location/database/my-database-id",
 });
 console.log(response);
 ----

docs/doc_examples/dd71b0c9f9197684ff29c61062c55660.asciidoc

@@ -3,6 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.getSettings();
+const response = await client.transport.request({
+  method: "GET",
+  path: "/_security/settings",
+});
 console.log(response);
 ----

docs/doc_examples/e3019fd5f23458ae49ad9854c97d321c.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.security.oidcPrepareAuthentication({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_security/oidc/prepare",
   body: {
     realm: "oidc1",
   },

docs/doc_examples/e4b38973c74037335378d8480f1ce894.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.simulate.ingest({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_ingest/_simulate",
   body: {
     docs: [
       {

docs/doc_examples/e6f6d3aeea7ecea47cfd5c3d727f7004.asciidoc

@@ -0,0 +1,44 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.search({
+  index: "retrievers_example",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              query_string: {
+                query: "(information retrieval) OR (artificial intelligence)",
+                default_field: "text",
+              },
+            },
+          },
+        },
+        {
+          knn: {
+            field: "vector",
+            query_vector: [0.23, 0.67, 0.89],
+            k: 3,
+            num_candidates: 5,
+          },
+        },
+      ],
+      rank_window_size: 10,
+      rank_constant: 1,
+    },
+  },
+  collapse: {
+    field: "year",
+    inner_hits: {
+      name: "topic related documents",
+      _source: ["year"],
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/ee05714a83d75fb6858e3b9fcbeb8f8b.asciidoc

@@ -0,0 +1,94 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.indices.create({
+  index: "retrievers_example",
+  mappings: {
+    properties: {
+      vector: {
+        type: "dense_vector",
+        dims: 3,
+        similarity: "l2_norm",
+        index: true,
+      },
+      text: {
+        type: "text",
+      },
+      year: {
+        type: "integer",
+      },
+      topic: {
+        type: "keyword",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "retrievers_example",
+  id: 1,
+  document: {
+    vector: [0.23, 0.67, 0.89],
+    text: "Large language models are revolutionizing information retrieval by boosting search precision, deepening contextual understanding, and reshaping user experiences in data-rich environments.",
+    year: 2024,
+    topic: ["llm", "ai", "information_retrieval"],
+  },
+});
+console.log(response1);
+
+const response2 = await client.index({
+  index: "retrievers_example",
+  id: 2,
+  document: {
+    vector: [0.12, 0.56, 0.78],
+    text: "Artificial intelligence is transforming medicine, from advancing diagnostics and tailoring treatment plans to empowering predictive patient care for improved health outcomes.",
+    year: 2023,
+    topic: ["ai", "medicine"],
+  },
+});
+console.log(response2);
+
+const response3 = await client.index({
+  index: "retrievers_example",
+  id: 3,
+  document: {
+    vector: [0.45, 0.32, 0.91],
+    text: "AI is redefining security by enabling advanced threat detection, proactive risk analysis, and dynamic defenses against increasingly sophisticated cyber threats.",
+    year: 2024,
+    topic: ["ai", "security"],
+  },
+});
+console.log(response3);
+
+const response4 = await client.index({
+  index: "retrievers_example",
+  id: 4,
+  document: {
+    vector: [0.34, 0.21, 0.98],
+    text: "Elastic introduces Elastic AI Assistant, the open, generative AI sidekick powered by ESRE to democratize cybersecurity and enable users of every skill level.",
+    year: 2023,
+    topic: ["ai", "elastic", "assistant"],
+  },
+});
+console.log(response4);
+
+const response5 = await client.index({
+  index: "retrievers_example",
+  id: 5,
+  document: {
+    vector: [0.11, 0.65, 0.47],
+    text: "Learn how to spin up a deployment of our hosted Elasticsearch Service and use Elastic Observability to gain deeper insight into the behavior of your applications and systems.",
+    year: 2024,
+    topic: ["documentation", "observability", "elastic"],
+  },
+});
+console.log(response5);
+
+const response6 = await client.indices.refresh({
+  index: "retrievers_example",
+});
+console.log(response6);
+----

docs/doc_examples/f6f647eb644a2d236637ff05f833cb73.asciidoc

@@ -3,7 +3,9 @@
 
 [source, js]
 ----
-const response = await client.connector.secretPost({
+const response = await client.transport.request({
+  method: "POST",
+  path: "/_connector/_secret",
   body: {
     value: "encoded_api_key",
   },

docs/reference.asciidoc

@@ -818,6 +818,8 @@ Random by default.
 ** *`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`. Valid values are: `all`, `open`, `closed`, `hidden`, `none`.
+** *`allow_partial_search_results` (Optional, boolean)*: If `false`, creating a point in time request when a shard is missing or unavailable will throw an exception.
+If `true`, the point in time will contain all the shards that are available at the time of the request.
 
 [discrete]
 === ping
@@ -1560,6 +1562,8 @@ client.asyncSearch.status({ id })
 
 * *Request (object):*
 ** *`id` (string)*: A unique identifier for the async search.
+** *`keep_alive` (Optional, string | -1 | 0)*: Specifies how long the async search needs to be available.
+Ongoing async searches and any saved search results are deleted after this period.
 
 [discrete]
 ==== submit
@@ -1662,7 +1666,6 @@ A partial reduction is performed every time the coordinating node has received a
 ** *`pre_filter_shard_size` (Optional, number)*: The default value cannot be changed, which enforces the execution of a pre-filter roundtrip to retrieve statistics from each shard so that the ones that surely don’t hold any document matching the query get skipped.
 ** *`request_cache` (Optional, boolean)*: Specify if request cache should be used for this request or not, defaults to true
 ** *`routing` (Optional, string)*: A list of specific routing values
-** *`scroll` (Optional, string | -1 | 0)*
 ** *`search_type` (Optional, Enum("query_then_fetch" | "dfs_query_then_fetch"))*: Search operation type
 ** *`suggest_field` (Optional, string)*: Specifies which field to use for suggestions.
 ** *`suggest_mode` (Optional, Enum("missing" | "popular" | "always"))*: Specify suggest mode
@@ -1693,6 +1696,9 @@ client.autoscaling.deleteAutoscalingPolicy({ name })
 
 * *Request (object):*
 ** *`name` (string)*: the name of the autoscaling policy
+** *`master_timeout` (Optional, string | -1 | 0)*: Period to wait for a connection to the master node.
+If no response is received before the timeout expires, the request fails and returns an error.
+** *`timeout` (Optional, string | -1 | 0)*: Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
 
 [discrete]
 ==== get_autoscaling_capacity
@@ -1714,9 +1720,15 @@ Do not use this information to make autoscaling decisions.
 {ref}/autoscaling-get-autoscaling-capacity.html[Endpoint documentation]
 [source,ts]
 ----
-client.autoscaling.getAutoscalingCapacity()
+client.autoscaling.getAutoscalingCapacity({ ... })
 ----
 
+[discrete]
+==== Arguments
+
+* *Request (object):*
+** *`master_timeout` (Optional, string | -1 | 0)*: Period to wait for a connection to the master node.
+If no response is received before the timeout expires, the request fails and returns an error.
 
 [discrete]
 ==== get_autoscaling_policy
@@ -1735,6 +1747,8 @@ client.autoscaling.getAutoscalingPolicy({ name })
 
 * *Request (object):*
 ** *`name` (string)*: the name of the autoscaling policy
+** *`master_timeout` (Optional, string | -1 | 0)*: Period to wait for a connection to the master node.
+If no response is received before the timeout expires, the request fails and returns an error.
 
 [discrete]
 ==== put_autoscaling_policy
@@ -1754,6 +1768,9 @@ client.autoscaling.putAutoscalingPolicy({ name })
 * *Request (object):*
 ** *`name` (string)*: the name of the autoscaling policy
 ** *`policy` (Optional, { roles, deciders })*
+** *`master_timeout` (Optional, string | -1 | 0)*: Period to wait for a connection to the master node.
+If no response is received before the timeout expires, the request fails and returns an error.
+** *`timeout` (Optional, string | -1 | 0)*: Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
 
 [discrete]
 === cat

src/api/types.ts

@@ -884,6 +884,7 @@ export interface OpenPointInTimeRequest extends RequestBase {
   preference?: string
   routing?: Routing
   expand_wildcards?: ExpandWildcards
+  allow_partial_search_results?: boolean
   index_filter?: QueryDslQueryContainer
 }
 
@@ -6650,6 +6651,7 @@ export type AsyncSearchGetResponse<TDocument = unknown, TAggregations = Record<A
 
 export interface AsyncSearchStatusRequest extends RequestBase {
   id: Id
+  keep_alive?: Duration
 }
 
 export type AsyncSearchStatusResponse = AsyncSearchStatusStatusResponseBase
@@ -6683,7 +6685,6 @@ export interface AsyncSearchSubmitRequest extends RequestBase {
   pre_filter_shard_size?: long
   request_cache?: boolean
   routing?: Routing
-  scroll?: Duration
   search_type?: SearchType
   suggest_field?: Field
   suggest_mode?: SuggestMode
@@ -6739,6 +6740,8 @@ export interface AutoscalingAutoscalingPolicy {
 
 export interface AutoscalingDeleteAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
+  timeout?: Duration
 }
 
 export type AutoscalingDeleteAutoscalingPolicyResponse = AcknowledgedResponseBase
@@ -6771,6 +6774,7 @@ export interface AutoscalingGetAutoscalingCapacityAutoscalingResources {
 }
 
 export interface AutoscalingGetAutoscalingCapacityRequest extends RequestBase {
+  master_timeout?: Duration
 }
 
 export interface AutoscalingGetAutoscalingCapacityResponse {
@@ -6779,12 +6783,15 @@ export interface AutoscalingGetAutoscalingCapacityResponse {
 
 export interface AutoscalingGetAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
 }
 
 export type AutoscalingGetAutoscalingPolicyResponse = AutoscalingAutoscalingPolicy
 
 export interface AutoscalingPutAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
+  timeout?: Duration
   policy?: AutoscalingAutoscalingPolicy
 }
 
@@ -16848,6 +16855,7 @@ export interface QueryRulesListRulesetsQueryRulesetListItem {
   ruleset_id: Id
   rule_total_count: integer
   rule_criteria_types_counts: Record<string, integer>
+  rule_type_counts: Record<string, integer>
 }
 
 export interface QueryRulesListRulesetsRequest extends RequestBase {
@@ -17249,21 +17257,26 @@ export interface SecurityAccess {
 }
 
 export interface SecurityApiKey {
-  creation?: long
-  expiration?: long
   id: Id
-  invalidated?: boolean
   name: Name
-  realm?: string
+  type: SecurityApiKeyType
+  creation: EpochTime<UnitMillis>
+  expiration?: EpochTime<UnitMillis>
+  invalidated: boolean
+  invalidation?: EpochTime<UnitMillis>
+  username: Username
+  realm: string
   realm_type?: string
-  username?: Username
+  metadata: Metadata
-  profile_uid?: string
-  metadata?: Metadata
   role_descriptors?: Record<string, SecurityRoleDescriptor>
   limited_by?: Record<string, SecurityRoleDescriptor>[]
+  access?: SecurityAccess
+  profile_uid?: string
   _sort?: SortResults
 }
 
+export type SecurityApiKeyType = 'rest' | 'cross_cluster'
+
 export interface SecurityApplicationGlobalUserPrivileges {
   manage: SecurityManageUserPrivileges
 }
@@ -17464,11 +17477,16 @@ export interface SecurityActivateUserProfileRequest extends RequestBase {
 
 export type SecurityActivateUserProfileResponse = SecurityUserProfileWithMetadata
 
+export interface SecurityAuthenticateAuthenticateApiKey {
+  id: Id
+  name?: Name
+}
+
 export interface SecurityAuthenticateRequest extends RequestBase {
 }
 
 export interface SecurityAuthenticateResponse {
-  api_key?: SecurityApiKey
+  api_key?: SecurityAuthenticateAuthenticateApiKey
   authentication_realm: SecurityRealmInfo
   email?: string | null
   full_name?: Name | null

src/api/typesWithBodyKey.ts

@@ -917,6 +917,7 @@ export interface OpenPointInTimeRequest extends RequestBase {
   preference?: string
   routing?: Routing
   expand_wildcards?: ExpandWildcards
+  allow_partial_search_results?: boolean
   /** @deprecated The use of the 'body' key has been deprecated, move the nested keys to the top level object. */
   body?: {
     index_filter?: QueryDslQueryContainer
@@ -6726,6 +6727,7 @@ export type AsyncSearchGetResponse<TDocument = unknown, TAggregations = Record<A
 
 export interface AsyncSearchStatusRequest extends RequestBase {
   id: Id
+  keep_alive?: Duration
 }
 
 export type AsyncSearchStatusResponse = AsyncSearchStatusStatusResponseBase
@@ -6759,7 +6761,6 @@ export interface AsyncSearchSubmitRequest extends RequestBase {
   pre_filter_shard_size?: long
   request_cache?: boolean
   routing?: Routing
-  scroll?: Duration
   search_type?: SearchType
   suggest_field?: Field
   suggest_mode?: SuggestMode
@@ -6818,6 +6819,8 @@ export interface AutoscalingAutoscalingPolicy {
 
 export interface AutoscalingDeleteAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
+  timeout?: Duration
 }
 
 export type AutoscalingDeleteAutoscalingPolicyResponse = AcknowledgedResponseBase
@@ -6850,6 +6853,7 @@ export interface AutoscalingGetAutoscalingCapacityAutoscalingResources {
 }
 
 export interface AutoscalingGetAutoscalingCapacityRequest extends RequestBase {
+  master_timeout?: Duration
 }
 
 export interface AutoscalingGetAutoscalingCapacityResponse {
@@ -6858,12 +6862,15 @@ export interface AutoscalingGetAutoscalingCapacityResponse {
 
 export interface AutoscalingGetAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
 }
 
 export type AutoscalingGetAutoscalingPolicyResponse = AutoscalingAutoscalingPolicy
 
 export interface AutoscalingPutAutoscalingPolicyRequest extends RequestBase {
   name: Name
+  master_timeout?: Duration
+  timeout?: Duration
   /** @deprecated The use of the 'body' key has been deprecated, use 'policy' instead. */
   body?: AutoscalingAutoscalingPolicy
 }
@@ -17206,6 +17213,7 @@ export interface QueryRulesListRulesetsQueryRulesetListItem {
   ruleset_id: Id
   rule_total_count: integer
   rule_criteria_types_counts: Record<string, integer>
+  rule_type_counts: Record<string, integer>
 }
 
 export interface QueryRulesListRulesetsRequest extends RequestBase {
@@ -17629,21 +17637,26 @@ export interface SecurityAccess {
 }
 
 export interface SecurityApiKey {
-  creation?: long
-  expiration?: long
   id: Id
-  invalidated?: boolean
   name: Name
-  realm?: string
+  type: SecurityApiKeyType
+  creation: EpochTime<UnitMillis>
+  expiration?: EpochTime<UnitMillis>
+  invalidated: boolean
+  invalidation?: EpochTime<UnitMillis>
+  username: Username
+  realm: string
   realm_type?: string
-  username?: Username
+  metadata: Metadata
-  profile_uid?: string
-  metadata?: Metadata
   role_descriptors?: Record<string, SecurityRoleDescriptor>
   limited_by?: Record<string, SecurityRoleDescriptor>[]
+  access?: SecurityAccess
+  profile_uid?: string
   _sort?: SortResults
 }
 
+export type SecurityApiKeyType = 'rest' | 'cross_cluster'
+
 export interface SecurityApplicationGlobalUserPrivileges {
   manage: SecurityManageUserPrivileges
 }
@@ -17847,11 +17860,16 @@ export interface SecurityActivateUserProfileRequest extends RequestBase {
 
 export type SecurityActivateUserProfileResponse = SecurityUserProfileWithMetadata
 
+export interface SecurityAuthenticateAuthenticateApiKey {
+  id: Id
+  name?: Name
+}
+
 export interface SecurityAuthenticateRequest extends RequestBase {
 }
 
 export interface SecurityAuthenticateResponse {
-  api_key?: SecurityApiKey
+  api_key?: SecurityAuthenticateAuthenticateApiKey
   authentication_realm: SecurityRealmInfo
   email?: string | null
   full_name?: Name | null