Auto-generated code for 8.x (#2412)

Co-authored-by: Josh Mock <joshua.mock@elastic.co>

docs/doc_examples/01ae196538fac197eedbbf458a4ef31b.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       kwd: {
         type: "keyword",

docs/doc_examples/0709a38613d2de90d418ce12b36af30e.asciidoc

@@ -3,8 +3,6 @@
 
 [source, js]
 ----
-const response = await client.cluster.reroute({
-  metric: "none",
-});
+const response = await client.cluster.reroute();
 console.log(response);
 ----

docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

@@ -8,6 +8,7 @@ const response = await client.esql.asyncQuery({
   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  ",
+    include_ccs_metadata: true,
   },
 });
 console.log(response);

docs/doc_examples/0c8be7aec84ea86b243904f5d4162f5a.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.search({
+  index: "cooking_blog",
+  query: {
+    match: {
+      title: {
+        query: "fluffy pancakes breakfast",
+        minimum_should_match: 2,
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/0d30077cd34e93377a3a86f2ebd69415.asciidoc

@@ -9,7 +9,7 @@ const response = await client.connector.put({
   name: "My Connector",
   description: "My Connector to sync data to Elastic index from Google Drive",
   service_type: "google_drive",
-  language: "english",
+  language: "en",
 });
 console.log(response);
 ----

docs/doc_examples/0e31b8ad176b31028becf9500989bcbd.asciidoc

@@ -0,0 +1,21 @@
+// 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: "text_embedding",
+  inference_id: "watsonx-embeddings",
+  inference_config: {
+    service: "watsonxai",
+    service_settings: {
+      api_key: "<api_key>",
+      url: "<url>",
+      model_id: "ibm/slate-30m-english-rtrvr",
+      project_id: "<project_id>",
+      api_version: "2024-03-14",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/191074b2eebd5f74e628c2ada4b6d2e4.asciidoc

@@ -0,0 +1,55 @@
+// 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: "cooking_blog",
+  query: {
+    bool: {
+      must: [
+        {
+          term: {
+            "category.keyword": "Main Course",
+          },
+        },
+        {
+          term: {
+            tags: "vegetarian",
+          },
+        },
+        {
+          range: {
+            rating: {
+              gte: 4.5,
+            },
+          },
+        },
+      ],
+      should: [
+        {
+          multi_match: {
+            query: "curry spicy",
+            fields: ["title^2", "description"],
+          },
+        },
+        {
+          range: {
+            date: {
+              gte: "now-1M/d",
+            },
+          },
+        },
+      ],
+      must_not: [
+        {
+          term: {
+            "category.keyword": "Dessert",
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/1a7483796087053ba55029d0dc2ab356.asciidoc

@@ -0,0 +1,19 @@
+// 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.index({
+  index: "mv",
+  refresh: "true",
+  document: {
+    a: [2, null, 1],
+  },
+});
+console.log(response);
+
+const response1 = await client.esql.query({
+  query: "FROM mv | LIMIT 1",
+});
+console.log(response1);
+----

docs/doc_examples/21d41e8cbd107fbdf0901f885834dafc.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       card: {
         type: "wildcard",

docs/doc_examples/2c079d1ae4819a0c206b9e1aa5623523.asciidoc

@@ -0,0 +1,77 @@
+// 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-000001",
+  mappings: {
+    properties: {
+      attributes: {
+        type: "passthrough",
+        priority: 10,
+        properties: {
+          id: {
+            type: "keyword",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "my-index-000001",
+  id: 1,
+  document: {
+    attributes: {
+      id: "foo",
+      zone: 10,
+    },
+  },
+});
+console.log(response1);
+
+const response2 = await client.search({
+  index: "my-index-000001",
+  query: {
+    bool: {
+      must: [
+        {
+          match: {
+            id: "foo",
+          },
+        },
+        {
+          match: {
+            zone: 10,
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response2);
+
+const response3 = await client.search({
+  index: "my-index-000001",
+  query: {
+    bool: {
+      must: [
+        {
+          match: {
+            "attributes.id": "foo",
+          },
+        },
+        {
+          match: {
+            "attributes.zone": 10,
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response3);
+----

docs/doc_examples/3ab8f65fcb55a0e3664c55749ec41efd.asciidoc

@@ -29,6 +29,7 @@ const response = await client.indices.create({
             "arabic_normalization",
             "persian_normalization",
             "persian_stop",
+            "persian_stem",
           ],
         },
       },

docs/doc_examples/40f287bf733420bbab134b74c7d0ea5d.asciidoc

@@ -0,0 +1,16 @@
+// 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.index({
+  index: "amazon-reviews",
+  id: 1,
+  document: {
+    review_text:
+      "This product is lifechanging! I'm telling all my friends about it.",
+    review_vector: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
+  },
+});
+console.log(response);
+----

docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

@@ -0,0 +1,14 @@
+// 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.streamInference({
+  task_type: "completion",
+  inference_id: "openai-completion",
+  body: {
+    input: "What is Elastic?",
+  },
+});
+console.log(response);
+----

docs/doc_examples/55085e6a2891040b6ac696561d0787c8.asciidoc

@@ -0,0 +1,32 @@
+// 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: {
+      attributes: {
+        type: "passthrough",
+        priority: 10,
+        properties: {
+          id: {
+            type: "keyword",
+          },
+        },
+      },
+      "resource.attributes": {
+        type: "passthrough",
+        priority: 20,
+        properties: {
+          id: {
+            type: "keyword",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/551799fef2f86e393db83a967e4a30d1.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       agg_metric: {
         type: "aggregate_metric_double",

docs/doc_examples/56da252798b8e7b006738428aa1a7f4c.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       my_range: {
         type: "long_range",

docs/doc_examples/58dd26afc919722e21358c91e112b27a.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.search({
+  index: "cooking_blog",
+  query: {
+    range: {
+      date: {
+        gte: "2023-05-01",
+        lte: "2023-05-31",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/5a70db31f587b7ffed5e9bc1445430cb.asciidoc

@@ -0,0 +1,22 @@
+// 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: "semantic-embeddings",
+  mappings: {
+    properties: {
+      semantic_text: {
+        type: "semantic_text",
+        inference_id: "my-elser-endpoint",
+      },
+      content: {
+        type: "text",
+        copy_to: "semantic_text",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/5bba213a7f543190139d1a69ab2ed076.asciidoc

@@ -8,6 +8,7 @@ const response = await client.esql.asyncQuery({
   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  ",
+    include_ccs_metadata: true,
   },
 });
 console.log(response);

docs/doc_examples/5ceb734e3affe00e2cdc29af748d95bf.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: "sparse_embedding",
+  inference_id: "small_chunk_size",
+  inference_config: {
+    service: "elasticsearch",
+    service_settings: {
+      num_allocations: 1,
+      num_threads: 1,
+    },
+    chunking_settings: {
+      strategy: "sentence",
+      max_chunk_size: 100,
+      sentence_overlap: 0,
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/5cf12cc4f98d98dc79bead7e6556679c.asciidoc

@@ -0,0 +1,19 @@
+// 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: "idx",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/5daf8ede198be9b118da5bee9896cb00.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       flattened: {
         type: "flattened",

docs/doc_examples/6cb1dae368c945ecf7c9ec332a5743a2.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       text: {
         type: "text",

docs/doc_examples/71998bb300ac2a58419b0772cdc1c586.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       versions: {
         type: "version",

docs/doc_examples/750ac969f9a05567f5cdf4f93d6244b6.asciidoc

@@ -4,7 +4,6 @@
 [source, js]
 ----
 const response = await client.cluster.reroute({
-  metric: "none",
   commands: [
     {
       allocate_empty_primary: {

docs/doc_examples/76c73b54f3f1e5cb1c0fcccd7c3fd18e.asciidoc

@@ -0,0 +1,52 @@
+// 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.bulk({
+  operations: [
+    {
+      index: {
+        _index: "amazon-reviews",
+        _id: "2",
+      },
+    },
+    {
+      review_text: "This product is amazing! I love it.",
+      review_vector: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
+    },
+    {
+      index: {
+        _index: "amazon-reviews",
+        _id: "3",
+      },
+    },
+    {
+      review_text: "This product is terrible. I hate it.",
+      review_vector: [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1],
+    },
+    {
+      index: {
+        _index: "amazon-reviews",
+        _id: "4",
+      },
+    },
+    {
+      review_text: "This product is great. I can do anything with it.",
+      review_vector: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
+    },
+    {
+      index: {
+        _index: "amazon-reviews",
+        _id: "5",
+      },
+    },
+    {
+      review_text:
+        "This product has ruined my life and the lives of my family and friends.",
+      review_vector: [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1],
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/77082b1ffaae9ac52dfc133fa597baa7.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.search({
+  index: "cooking_blog",
+  query: {
+    match: {
+      description: {
+        query: "fluffy pancakes",
+        operator: "and",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/79ff4e7fa5c004226d05d7e2bfb5dc1e.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.indices.putIndexTemplate({
+  name: "my-metrics",
+  index_patterns: ["metrics-mymetrics-*"],
+  priority: 200,
+  data_stream: {},
+  template: {
+    settings: {
+      "index.mode": "time_series",
+    },
+    mappings: {
+      properties: {
+        attributes: {
+          type: "passthrough",
+          priority: 10,
+          time_series_dimension: true,
+          properties: {
+            "host.name": {
+              type: "keyword",
+            },
+          },
+        },
+        cpu: {
+          type: "integer",
+          time_series_metric: "counter",
+        },
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "metrics-mymetrics-test",
+  document: {
+    "@timestamp": "2020-01-01T00:00:00.000Z",
+    attributes: {
+      "host.name": "foo",
+      zone: "bar",
+    },
+    cpu: 10,
+  },
+});
+console.log(response1);
+----

docs/doc_examples/7b9691bd34a02dd859562eb927f175e0.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: "sparse_embedding",
+  inference_id: "my-elser-model",
+  inference_config: {
+    service: "elasticsearch",
+    service_settings: {
+      adaptive_allocations: {
+        enabled: true,
+        min_number_of_allocations: 1,
+        max_number_of_allocations: 10,
+      },
+      num_threads: 1,
+      model_id: ".elser_model_2",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/7d3a74fe0ba3fe95d1c3275365ff9315.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       flattened: {
         type: "flattened",

docs/doc_examples/7db09cab02d71f3a10d91071216d80fc.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.search({
+  index: "amazon-reviews",
+  retriever: {
+    knn: {
+      field: "review_vector",
+      query_vector: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
+      k: 2,
+      num_candidates: 5,
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/7db798942cf2d334456e30ef5fcb801b.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.search({
+  index: "cooking_blog",
+  query: {
+    match: {
+      description: {
+        query: "fluffy pancakes",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/8080cd9e24a8785728ce7c372ec4acf1.asciidoc

@@ -3,9 +3,10 @@
 
 [source, js]
 ----
-const response = await client.indices.putSettings({
-  index: ".watches",
-  settings: {
+const response = await client.transport.request({
+  method: "PUT",
+  path: "/_watcher/settings",
+  body: {
     "index.routing.allocation.include.role": "watcher",
   },
 });

docs/doc_examples/84237aa9da49ab4b4c4e2b21d2548df2.asciidoc

@@ -3,9 +3,8 @@
 
 [source, js]
 ----
-const response = await client.snapshot.create({
-  repository: "my_repository",
-  snapshot: "_verify_integrity",
+const response = await client.snapshot.repositoryVerifyIntegrity({
+  name: "my_repository",
 });
 console.log(response);
 ----

docs/doc_examples/84ef9fe951c6d3caa7438238a5b23319.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.search({
+  index: "cooking_blog",
+  query: {
+    term: {
+      "author.keyword": "Maria Rodriguez",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/85f9fc6f98e8573efed9b034e853d5ae.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.inference.put({
+  task_type: "sparse_embedding",
+  inference_id: "use_existing_deployment",
+  inference_config: {
+    service: "elasticsearch",
+    service_settings: {
+      deployment_id: ".elser_model_2",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/8b8b6aac2111b2d8b93758ac737e6543.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx_keep",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       path: {
         type: "object",

docs/doc_examples/8d05862be1f9e7edaba162b1888b5677.asciidoc

@@ -0,0 +1,61 @@
+// 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.putMapping({
+  index: "cooking_blog",
+  properties: {
+    title: {
+      type: "text",
+      analyzer: "standard",
+      fields: {
+        keyword: {
+          type: "keyword",
+          ignore_above: 256,
+        },
+      },
+    },
+    description: {
+      type: "text",
+      fields: {
+        keyword: {
+          type: "keyword",
+        },
+      },
+    },
+    author: {
+      type: "text",
+      fields: {
+        keyword: {
+          type: "keyword",
+        },
+      },
+    },
+    date: {
+      type: "date",
+      format: "yyyy-MM-dd",
+    },
+    category: {
+      type: "text",
+      fields: {
+        keyword: {
+          type: "keyword",
+        },
+      },
+    },
+    tags: {
+      type: "text",
+      fields: {
+        keyword: {
+          type: "keyword",
+        },
+      },
+    },
+    rating: {
+      type: "float",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/9ad0864bcd665b63551e944653d32423.asciidoc

@@ -0,0 +1,35 @@
+// 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: "semantic-embeddings",
+  retriever: {
+    rrf: {
+      retrievers: [
+        {
+          standard: {
+            query: {
+              match: {
+                content: "How to avoid muscle soreness while running?",
+              },
+            },
+          },
+        },
+        {
+          standard: {
+            query: {
+              semantic: {
+                field: "semantic_text",
+                query: "How to avoid muscle soreness while running?",
+              },
+            },
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/9aedc45f83e022732789e8d796f5a43c.asciidoc

@@ -4,7 +4,6 @@
 [source, js]
 ----
 const response = await client.cluster.reroute({
-  metric: "none",
   commands: [
     {
       move: {

docs/doc_examples/9c2ce0132e4527077443f007d27b1158.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       flattened: {
         type: "flattened",

docs/doc_examples/a1b668795243398f5bc40bcc9bead884.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       my_range: {
         type: "long_range",

docs/doc_examples/a5aeb2c8bdf91f6146026ec8edc476b6.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       date: {
         type: "date_nanos",

docs/doc_examples/a7d814caf2a995d2aeadecc3495011be.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       bool: {
         type: "boolean",

docs/doc_examples/a8dff54362184b2732b9bd248cf6df8a.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       my_range: {
         type: "integer_range",

docs/doc_examples/aab810de3314d5e11bd564ea096785b8.asciidoc

@@ -0,0 +1,21 @@
+// 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: "cooking_blog",
+  query: {
+    bool: {
+      filter: [
+        {
+          term: {
+            "category.keyword": "Breakfast",
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/aad7d80990a6a3c391ff555ce09ae9dc.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       f: {
         type: "scaled_float",

docs/doc_examples/ac5b91aa75696f9880451c9439fd9eec.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       my_range: {
         type: "date_range",

docs/doc_examples/add82cbe7cd95c4be5ce1c9958f2f208.asciidoc

@@ -0,0 +1,16 @@
+// 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: "cooking_blog",
+  query: {
+    multi_match: {
+      query: "vegetarian curry",
+      fields: ["title^3", "description^2", "tags"],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/b3479ee4586c15020549afae58d94d65.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       point: {
         type: "geo_point",

docs/doc_examples/b3cd07f02059165fd62a2f148be3dc58.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       long: {
         type: "long",

docs/doc_examples/b3f442a7d9eb391121dcab991787f9d6.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       binary: {
         type: "binary",

docs/doc_examples/b9ba66209b7fcc111a7bcef0b3e00052.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.index({
+  index: "my-index-000001",
+  id: 1,
+  document: {
+    attributes: {
+      id: "foo",
+    },
+    id: "bar",
+  },
+});
+console.log(response);
+----

docs/doc_examples/ba650046f9063f6c43d76f47e0f94403.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       date: {
         type: "date",

docs/doc_examples/bb5a67e3d2d9cd3016e487e627769fe8.asciidoc

@@ -0,0 +1,88 @@
+// 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.bulk({
+  index: "cooking_blog",
+  refresh: "wait_for",
+  operations: [
+    {
+      index: {
+        _id: "1",
+      },
+    },
+    {
+      title: "Perfect Pancakes: A Fluffy Breakfast Delight",
+      description:
+        "Learn the secrets to making the fluffiest pancakes, so amazing you won't believe your tastebuds. This recipe uses buttermilk and a special folding technique to create light, airy pancakes that are perfect for lazy Sunday mornings.",
+      author: "Maria Rodriguez",
+      date: "2023-05-01",
+      category: "Breakfast",
+      tags: ["pancakes", "breakfast", "easy recipes"],
+      rating: 4.8,
+    },
+    {
+      index: {
+        _id: "2",
+      },
+    },
+    {
+      title: "Spicy Thai Green Curry: A Vegetarian Adventure",
+      description:
+        "Dive into the flavors of Thailand with this vibrant green curry. Packed with vegetables and aromatic herbs, this dish is both healthy and satisfying. Don't worry about the heat - you can easily adjust the spice level to your liking.",
+      author: "Liam Chen",
+      date: "2023-05-05",
+      category: "Main Course",
+      tags: ["thai", "vegetarian", "curry", "spicy"],
+      rating: 4.6,
+    },
+    {
+      index: {
+        _id: "3",
+      },
+    },
+    {
+      title: "Classic Beef Stroganoff: A Creamy Comfort Food",
+      description:
+        "Indulge in this rich and creamy beef stroganoff. Tender strips of beef in a savory mushroom sauce, served over a bed of egg noodles. It's the ultimate comfort food for chilly evenings.",
+      author: "Emma Watson",
+      date: "2023-05-10",
+      category: "Main Course",
+      tags: ["beef", "pasta", "comfort food"],
+      rating: 4.7,
+    },
+    {
+      index: {
+        _id: "4",
+      },
+    },
+    {
+      title: "Vegan Chocolate Avocado Mousse",
+      description:
+        "Discover the magic of avocado in this rich, vegan chocolate mousse. Creamy, indulgent, and secretly healthy, it's the perfect guilt-free dessert for chocolate lovers.",
+      author: "Alex Green",
+      date: "2023-05-15",
+      category: "Dessert",
+      tags: ["vegan", "chocolate", "avocado", "healthy dessert"],
+      rating: 4.5,
+    },
+    {
+      index: {
+        _id: "5",
+      },
+    },
+    {
+      title: "Crispy Oven-Fried Chicken",
+      description:
+        "Get that perfect crunch without the deep fryer! This oven-fried chicken recipe delivers crispy, juicy results every time. A healthier take on the classic comfort food.",
+      author: "Maria Rodriguez",
+      date: "2023-05-20",
+      category: "Main Course",
+      tags: ["chicken", "oven-fried", "healthy"],
+      rating: 4.9,
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/bc01aee2ab2ce1690986374bd836e1c7.asciidoc

@@ -0,0 +1,16 @@
+// 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: "cooking_blog",
+  query: {
+    multi_match: {
+      query: "vegetarian curry",
+      fields: ["title", "description", "tags"],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/bdaf00d791706d7fde25fd65d3735b94.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       kwd: {
         type: "keyword",

docs/doc_examples/befa73a8a419fcf3b7798548b54a20bf.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: "my-index",
+  size: 10,
+  knn: {
+    query_vector: [0.04283529, 0.85670587, -0.51402352, 0],
+    field: "my_int4_vector",
+    k: 20,
+    num_candidates: 50,
+  },
+  rescore: {
+    window_size: 20,
+    query: {
+      rescore_query: {
+        script_score: {
+          query: {
+            match_all: {},
+          },
+          script: {
+            source: "(dotProduct(params.queryVector, 'my_int4_vector') + 1.0)",
+            params: {
+              queryVector: [0.04283529, 0.85670587, -0.51402352, 0],
+            },
+          },
+        },
+      },
+      query_weight: 0,
+      rescore_query_weight: 1,
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/c793efe7280e9b6e09981c4d4f832348.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       ip: {
         type: "ip",

docs/doc_examples/c8aa8e8c0ac160b8c4efd1ac3b9f48f3.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.indices.create({
+  index: "amazon-reviews",
+  mappings: {
+    properties: {
+      review_vector: {
+        type: "dense_vector",
+        dims: 8,
+        index: true,
+        similarity: "cosine",
+      },
+      review_text: {
+        type: "text",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/ccc613951c61f0b17e1ed8a2d3ae54a2.asciidoc

@@ -52,6 +52,20 @@ const response = await client.simulate.ingest({
         },
       },
     },
+    index_template_substitutions: {
+      "my-index-template": {
+        index_patterns: ["my-index-*"],
+        composed_of: ["component_template_1", "component_template_2"],
+      },
+    },
+    mapping_addition: {
+      dynamic: "strict",
+      properties: {
+        foo: {
+          type: "keyword",
+        },
+      },
+    },
   },
 });
 console.log(response);

docs/doc_examples/dcf82f3aacae49c0bb4ccbc673f13e9f.asciidoc

@@ -0,0 +1,28 @@
+// 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: "my-index",
+  size: 10,
+  query: {
+    script_score: {
+      query: {
+        knn: {
+          query_vector: [0.04283529, 0.85670587, -0.51402352, 0],
+          field: "my_int4_vector",
+          num_candidates: 20,
+        },
+      },
+      script: {
+        source: "(dotProduct(params.queryVector, 'my_int4_vector') + 1.0)",
+        params: {
+          queryVector: [0.04283529, 0.85670587, -0.51402352, 0],
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/ddaadd91b7743a1c7e946ce1b593cd1b.asciidoc

@@ -0,0 +1,14 @@
+// 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.inference({
+  task_type: "my-inference-endpoint",
+  inference_id: "_update",
+  service_settings: {
+    api_key: "<API_KEY>",
+  },
+});
+console.log(response);
+----

docs/doc_examples/f1bf0c03581b79c3324cfa3246a60e4d.asciidoc

@@ -0,0 +1,22 @@
+// 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-byte-quantized-index",
+  mappings: {
+    properties: {
+      my_vector: {
+        type: "dense_vector",
+        dims: 64,
+        index: true,
+        index_options: {
+          type: "bbq_hnsw",
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/f8f960550104c33e00dc78bc8723ccef.asciidoc

@@ -4,12 +4,7 @@
 [source, js]
 ----
 const response = await client.indices.create({
-  index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
-    },
-  },
+  index: "cooking_blog",
 });
 console.log(response);
 ----

docs/doc_examples/f95a4d7ab02bf400246c8822f0245f02.asciidoc

@@ -5,7 +5,7 @@
 ----
 const response = await client.cat.mlTrainedModels({
   h: "c,o,l,ct,v",
-  v: "ture",
+  v: "true",
 });
 console.log(response);
 ----

docs/doc_examples/f9bad6fd369764185e1cb09b89ee39cc.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       text: {
         type: "text",

docs/doc_examples/fb0152f6c70f647a8b6709969113486d.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       kwd: {
         type: "keyword",

docs/doc_examples/fe6429d0d82174aa5acf95e96e237380.asciidoc

@@ -5,10 +5,16 @@
 ----
 const response = await client.indices.create({
   index: "idx",
-  mappings: {
-    _source: {
-      mode: "synthetic",
+  settings: {
+    index: {
+      mapping: {
+        source: {
+          mode: "synthetic",
+        },
+      },
     },
+  },
+  mappings: {
     properties: {
       my_range: {
         type: "ip_range",