Auto-generated API code (#2806)

Fixes #2324

(cherry picked from commit 172180cb21)

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

.buildkite/pipeline.yml

@@ -25,7 +25,7 @@ steps:
       provider: "gcp"
       image: family/core-ubuntu-2204
     plugins:
-      - junit-annotate#v2.5.0:
+      - junit-annotate#v2.4.1:
           artifacts: "junit-output/junit-*.xml"
           job-uuid-file-pattern: "junit-(.*).xml"
           fail-build-on-error: true

.github/make.sh

@@ -176,7 +176,7 @@ else
     --rm \
     $product \
     /bin/bash -c "cd /usr/src && \
-      git clone https://$CLIENTS_GITHUB_TOKEN@github.com/elastic/elastic-client-generator-js.git && \
+      git clone --branch $GENERATOR_BRANCH https://$CLIENTS_GITHUB_TOKEN@github.com/elastic/elastic-client-generator-js.git && \
       mkdir -p /usr/src/elastic-client-generator-js/output && \
       cd /usr/src/elasticsearch-js && \
       node .buildkite/make.mjs --task $TASK ${TASK_ARGS[*]}"

.github/stale.yml

@@ -0,0 +1,26 @@
+# Number of days of inactivity before an issue becomes stale
+daysUntilStale: 15
+
+# Number of days of inactivity before a stale issue is closed
+daysUntilClose: 7
+
+# Issues with these labels will never be considered stale
+exemptLabels:
+  - "discussion"
+  - "feature request"
+  - "bug"
+  - "todo"
+  - "good first issue"
+
+# Label to use when marking an issue as stale
+staleLabel: stale
+
+# Comment to post when marking an issue as stale. Set to `false` to disable
+markComment: |
+  We understand that this might be important for you, but this issue has been automatically marked as stale because it has not had recent activity either from our end or yours.
+  It will be closed if no further activity occurs, please write a comment if you would like to keep this going.
+
+  Note: in the past months we have built a new client, that has just landed in master. If you want to open an issue or a pr for the legacy client, you should do that in https://github.com/elastic/elasticsearch-js-legacy
+
+# Comment to post when closing a stale issue. Set to `false` to disable
+closeComment: false

.github/workflows/nodejs.yml

@@ -11,10 +11,10 @@ jobs:
     outputs:
       src-only: "${{ steps.changes.outputs.src-only }}"
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
-      - uses: dorny/paths-filter/@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3.0.2
+      - uses: dorny/paths-filter/@v3.0.2
         id: changes
         with:
           filters: |
@@ -36,12 +36,12 @@ jobs:
         os: [ubuntu-latest, windows-latest, macOS-latest]
 
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
 
       - name: Use Node.js ${{ matrix.node-version }}
-        uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4
+        uses: actions/setup-node@v4
         with:
           node-version: ${{ matrix.node-version }}
 
@@ -66,12 +66,12 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
 
       - name: Use Node.js
-        uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4
+        uses: actions/setup-node@v4
         with:
           node-version: 22.x
 
@@ -96,12 +96,12 @@ jobs:
         os: [ubuntu-latest, windows-latest, macOS-latest]
 
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
 
       - name: Use Bun
-        uses: oven-sh/setup-bun@4bc047ad259df6fc24a6c9b0f9a0cb08cf17fbe5 # v2
+        uses: oven-sh/setup-bun@v2
 
       - name: Install
         run: |
@@ -118,3 +118,13 @@ jobs:
       - name: ECMAScript module test
         run: |
           bun run test:esm
+
+  auto-approve:
+    name: Auto-approve
+    needs: [test, license]
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    if: github.actor == 'elasticmachine'
+    steps:
+      - uses: hmarr/auto-approve-action@v4

.github/workflows/npm-publish.yml

@@ -12,29 +12,26 @@ jobs:
       contents: write
       id-token: write
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
           ref: ${{ github.event.inputs.branch }}
-      - uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4
+      - uses: actions/setup-node@v4
         with:
           node-version: "22.x"
           registry-url: "https://registry.npmjs.org"
       - run: npm install -g npm
       - run: npm install
       - run: npm test
-      - run: npm publish --provenance --access public --tag alpha
+      - run: npm publish --provenance --access public
         env:
           NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
-      - name: Publish version on GitHub
-        run: |
+      - run: |
           version=$(jq -r .version package.json)
           gh release create \
-            -n "This is a 9.0.0 pre-release alpha. Changes may not be stable." \
-            --latest=false \
-            --prerelease \
+            -n "[Changelog](https://www.elastic.co/guide/en/elasticsearch/client/javascript-api/$BRANCH_NAME/changelog-client.html)" \
             --target "$BRANCH_NAME" \
-            --title "v$version" \
+            -t "v$version" \
             "v$version"
         env:
           BRANCH_NAME: ${{ github.event.inputs.branch }}

.github/workflows/serverless-patch.yml

@@ -26,14 +26,14 @@ jobs:
         )
       )
     steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
           repository: elastic/elasticsearch-js
           ref: main
           path: stack
           fetch-depth: 0
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
+      - uses: actions/checkout@v4
         with:
           persist-credentials: false
           repository: elastic/elasticsearch-serverless-js
@@ -42,7 +42,7 @@ jobs:
       - name: Apply patch from stack to serverless
         id: apply-patch
         run: $GITHUB_WORKSPACE/stack/.github/workflows/serverless-patch.sh
-      - uses: peter-evans/create-pull-request@5e914681df9dc83aa4e4905692ca88beb2f9e91f # v7
+      - uses: peter-evans/create-pull-request@v6
         with:
           token: ${{ secrets.GH_TOKEN }}
           path: serverless

.github/workflows/stale.yml

@@ -1,21 +1,21 @@
 ---
-name: "Close stale issues and PRs"
+name: 'Close stale issues and PRs'
 on:
   schedule:
-    - cron: "30 1 * * *"
+    - cron: '30 1 * * *'
 
 jobs:
   stale:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@28ca1036281a5e5922ead5184a1bbf96e5fc984e # v9
+      - uses: actions/stale@v8
         with:
           stale-issue-label: stale
           stale-pr-label: stale
           days-before-stale: 90
           days-before-close: 14
-          exempt-issue-labels: "good first issue,tracking"
+          exempt-issue-labels: 'good first issue'
           close-issue-label: closed-stale
           close-pr-label: closed-stale
-          stale-issue-message: "This issue is stale because it has been open 90 days with no activity. Remove the `stale` label, or leave a comment, or this will be closed in 14 days."
-          stale-pr-message: "This pull request is stale because it has been open 90 days with no activity. Remove the `stale` label, or leave a comment, or this will be closed in 14 days."
+          stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove the `stale` label, or leave a comment, or this will be closed in 14 days.'
+          stale-pr-message: 'This pull request is stale because it has been open 90 days with no activity. Remove the `stale` label, or leave a comment, or this will be closed in 14 days.'

catalog-info.yaml

@@ -42,9 +42,6 @@ spec:
         main:
           branch: "main"
           cronline: "@daily"
-        8_x:
-          branch: "8.x"
-          cronline: "@daily"
         8_14:
-          branch: "8.16"
+          branch: "8.14"
           cronline: "@daily"

docs/changelog.asciidoc

@@ -2,15 +2,31 @@
 == Release notes
 
 [discrete]
-=== 9.0.0
+=== 8.16.4
 
 [discrete]
-==== Breaking changes
+==== Fixes
 
 [discrete]
-===== Drop support for deprecated `body` parameter
+===== Improved support for Elasticsearch `v8.16`
 
-In 8.0, the top-level `body` parameter that was available on all API functions <<remove-body-key,was deprecated>>. In 9.0 this property is completely removed.
+Updated TypeScript types based on fixes and improvements to the Elasticsearch specification.
+
+[discrete]
+===== Report correct transport connection type in telemetry
+
+The client's telemetry reporting mechanism was incorrectly reporting all traffic as using `HttpConnection` when the default is `UndiciConnection`. https://github.com/elastic/elasticsearch-js/issues/2324[#2324]
+
+[discrete]
+=== 8.16.3
+
+[discrete]
+==== Fixes
+
+[discrete]
+===== Improved support for Elasticsearch `v8.16`
+
+Updated TypeScript types based on fixes and improvements to the Elasticsearch specification.
 
 [discrete]
 === 8.16.2
@@ -656,7 +672,6 @@ ac.abort()
 ----
 
 [discrete]
-[[remove-body-key]]
 ===== Remove the body key from the request
 
 *Breaking: Yes* | *Migration effort: Small*

docs/doc_examples/00ad41bde67beac991534ae0e04b1296.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.indices.getDataStream({
+  name: "my-data-stream",
+  filter_path: "data_streams.indices.index_name",
+});
+console.log(response);
+----

docs/doc_examples/0722b302b2b3275a988d858044f99d5d.asciidoc

@@ -0,0 +1,10 @@
+// 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.getMapping({
+  index: "kibana_sample_data_ecommerce",
+});
+console.log(response);
+----

docs/doc_examples/074e4602d1ca54412380a40867d078bc.asciidoc

@@ -11,6 +11,8 @@ const response = await client.indices.putSettings({
     "index.indexing.slowlog.threshold.index.debug": "2s",
     "index.indexing.slowlog.threshold.index.trace": "500ms",
     "index.indexing.slowlog.source": "1000",
+    "index.indexing.slowlog.reformat": true,
+    "index.indexing.slowlog.include.user": true,
   },
 });
 console.log(response);

docs/doc_examples/082e78c7a2061a7c4a52b494e5ede0e8.asciidoc

@@ -0,0 +1,42 @@
+// 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-rank-vectors-bit",
+  mappings: {
+    properties: {
+      my_vector: {
+        type: "rank_vectors",
+        element_type: "bit",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.bulk({
+  index: "my-rank-vectors-bit",
+  refresh: "true",
+  operations: [
+    {
+      index: {
+        _id: "1",
+      },
+    },
+    {
+      my_vector: [127, -127, 0, 1, 42],
+    },
+    {
+      index: {
+        _id: "2",
+      },
+    },
+    {
+      my_vector: "8100012a7f",
+    },
+  ],
+});
+console.log(response1);
+----

docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

@@ -3,17 +3,11 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  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  ",
-    include_ccs_metadata: true,
-  },
+const response = await client.esql.asyncQuery({
+  format: "json",
+  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/0c52af573c9401a2a687e86a4beb182b.asciidoc

@@ -10,7 +10,7 @@ const response = await client.ingest.putPipeline({
     {
       attachment: {
         field: "data",
-        remove_binary: false,
+        remove_binary: true,
       },
     },
   ],

docs/doc_examples/0dfde6a9d953822fd4b3aa0121ddd8fb.asciidoc

@@ -3,23 +3,20 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_application/search_application/my-app/_render_query",
-  body: {
-    params: {
-      query_string: "my first query",
-      text_fields: [
-        {
-          name: "title",
-          boost: 5,
-        },
-        {
-          name: "description",
-          boost: 1,
-        },
-      ],
-    },
+const response = await client.searchApplication.renderQuery({
+  name: "my-app",
+  params: {
+    query_string: "my first query",
+    text_fields: [
+      {
+        name: "title",
+        boost: 5,
+      },
+      {
+        name: "description",
+        boost: 1,
+      },
+    ],
   },
 });
 console.log(response);

docs/doc_examples/0f028f71f04c1d569fab402869565a84.asciidoc

@@ -4,9 +4,11 @@
 [source, js]
 ----
 const response = await client.indices.putSettings({
-  index: "my-index-000001",
+  index: ".reindexed-v9-ml-anomalies-custom-example",
   settings: {
-    "index.blocks.read_only_allow_delete": null,
+    index: {
+      number_of_replicas: "<original_number_of_replicas>",
+    },
   },
 });
 console.log(response);

docs/doc_examples/120fcf9f55128d6a81d5e87a9c235bbd.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.inference.chatCompletionUnified({
+  inference_id: "openai-completion",
+  chat_completion_request: {
+    model: "gpt-4o",
+    messages: [
+      {
+        role: "user",
+        content: "What is Elastic?",
+      },
+    ],
+  },
+});
+console.log(response);
+----

docs/doc_examples/12adea5d76f73d94d80d42f53f67563f.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.indices.addBlock({
+  index: ".ml-anomalies-custom-example",
+  block: "read_only",
+});
+console.log(response);
+----

docs/doc_examples/13d91782399ba1f291e103c18b5338cc.asciidoc

@@ -0,0 +1,25 @@
+// 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.createFrom({
+  source: "my-index",
+  dest: "my-new-index",
+  create_from: {
+    settings_override: {
+      index: {
+        number_of_shards: 5,
+      },
+    },
+    mappings_override: {
+      properties: {
+        field2: {
+          type: "boolean",
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/13ecdf99114098c76b050397d9c3d4e6.asciidoc

@@ -3,8 +3,7 @@
 
 [source, js]
 ----
-const response = await client.inference.inference({
-  task_type: "sparse_embedding",
+const response = await client.inference.sparseEmbedding({
   inference_id: "my-elser-model",
   input:
     "The sky above the port was the color of television tuned to a dead channel.",

docs/doc_examples/141ef0ebaa3b0772892b79b9bb85efb0.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.inference.update({
+  inference_id: "my-inference-endpoint",
+  inference_config: {
+    service_settings: {
+      api_key: "<API_KEY>",
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/15ac33d641b376d9494075eb1f0d4066.asciidoc

@@ -0,0 +1,10 @@
+// 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.cancelMigrateReindex({
+  index: "my-data-stream",
+});
+console.log(response);
+----

docs/doc_examples/174b93c323aa8e9cc8ee2a3df5736810.asciidoc

@@ -0,0 +1,12 @@
+// 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.security.delegatePki({
+  x509_certificate_chain: [
+    "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",
+  ],
+});
+console.log(response);
+----

docs/doc_examples/19c00c6b29bc7dbc5e92b3668da2da93.asciidoc

@@ -3,27 +3,23 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_ingest/_simulate",
-  body: {
-    docs: [
-      {
-        _index: "my-index",
-        _id: "123",
-        _source: {
-          foo: "bar",
-        },
+const response = await client.simulate.ingest({
+  docs: [
+    {
+      _index: "my-index",
+      _id: "123",
+      _source: {
+        foo: "bar",
       },
-      {
-        _index: "my-index",
-        _id: "456",
-        _source: {
-          foo: "rab",
-        },
+    },
+    {
+      _index: "my-index",
+      _id: "456",
+      _source: {
+        foo: "rab",
       },
-    ],
-  },
+    },
+  ],
 });
 console.log(response);
 ----

docs/doc_examples/1ead35c954963e83f89872048dabdbe9.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.security.queryRole({
+  query: {
+    bool: {
+      must_not: {
+        term: {
+          "metadata._reserved": true,
+        },
+      },
+    },
+  },
+  sort: ["name"],
+});
+console.log(response);
+----

docs/doc_examples/246763219ec06172f7aa57bba28d344a.asciidoc

@@ -0,0 +1,67 @@
+// 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-rank-vectors-bit",
+  mappings: {
+    properties: {
+      my_vector: {
+        type: "rank_vectors",
+        element_type: "bit",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.bulk({
+  index: "my-rank-vectors-bit",
+  refresh: "true",
+  operations: [
+    {
+      index: {
+        _id: "1",
+      },
+    },
+    {
+      my_vector: [127, -127, 0, 1, 42],
+    },
+    {
+      index: {
+        _id: "2",
+      },
+    },
+    {
+      my_vector: "8100012a7f",
+    },
+  ],
+});
+console.log(response1);
+
+const response2 = await client.search({
+  index: "my-rank-vectors-bit",
+  query: {
+    script_score: {
+      query: {
+        match_all: {},
+      },
+      script: {
+        source: "maxSimDotProduct(params.query_vector, 'my_vector')",
+        params: {
+          query_vector: [
+            [
+              0.35, 0.77, 0.95, 0.15, 0.11, 0.08, 0.58, 0.06, 0.44, 0.52, 0.21,
+              0.62, 0.65, 0.16, 0.64, 0.39, 0.93, 0.06, 0.93, 0.31, 0.92, 0,
+              0.66, 0.86, 0.92, 0.03, 0.81, 0.31, 0.2, 0.92, 0.95, 0.64, 0.19,
+              0.26, 0.77, 0.64, 0.78, 0.32, 0.97, 0.84,
+            ],
+          ],
+        },
+      },
+    },
+  },
+});
+console.log(response2);
+----

docs/doc_examples/272e27bf1fcc4fe5dbd4092679dd0342.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.indices.addBlock({
+  index: ".ml-anomalies-custom-example",
+  block: "write",
+});
+console.log(response);
+----

docs/doc_examples/29aeabacb1fdf5b083d5f091b6d1bd44.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.indices.migrateReindex({
+  reindex: {
+    source: {
+      index: "my-data-stream",
+    },
+    mode: "upgrade",
+  },
+});
+console.log(response);
+----

docs/doc_examples/2a1eece9a59ac1773edcf0a932c26de0.asciidoc

@@ -3,14 +3,10 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_security/oidc/logout",
-  body: {
-    token:
-      "dGhpcyBpcyBub3QgYSByZWFsIHRva2VuIGJ1dCBpdCBpcyBvbmx5IHRlc3QgZGF0YS4gZG8gbm90IHRyeSB0byByZWFkIHRva2VuIQ==",
-    refresh_token: "vLBPvmAB6KvwvJZr27cS",
-  },
+const response = await client.security.oidcLogout({
+  token:
+    "dGhpcyBpcyBub3QgYSByZWFsIHRva2VuIGJ1dCBpdCBpcyBvbmx5IHRlc3QgZGF0YS4gZG8gbm90IHRyeSB0byByZWFkIHRva2VuIQ==",
+  refresh_token: "vLBPvmAB6KvwvJZr27cS",
 });
 console.log(response);
 ----

docs/doc_examples/2a21674c40f9b182a8944769d20b2357.asciidoc

@@ -0,0 +1,26 @@
+// 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-rank-vectors-float",
+  query: {
+    script_score: {
+      query: {
+        match_all: {},
+      },
+      script: {
+        source: "maxSimDotProduct(params.query_vector, 'my_vector')",
+        params: {
+          query_vector: [
+            [0.5, 10, 6],
+            [-0.5, 10, 10],
+          ],
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/2a67608dadbf220a2f040f3a79d3677d.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.ingest.putPipeline({
+  id: "attachment",
+  description: "Extract attachment information including original binary",
+  processors: [
+    {
+      attachment: {
+        field: "data",
+        remove_binary: false,
+      },
+    },
+  ],
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "my-index-000001",
+  id: "my_id",
+  pipeline: "attachment",
+  document: {
+    data: "e1xydGYxXGFuc2kNCkxvcmVtIGlwc3VtIGRvbG9yIHNpdCBhbWV0DQpccGFyIH0=",
+  },
+});
+console.log(response1);
+
+const response2 = await client.get({
+  index: "my-index-000001",
+  id: "my_id",
+});
+console.log(response2);
+----

docs/doc_examples/2afd49985950cbcccf727fa858d00067.asciidoc

@@ -0,0 +1,24 @@
+// 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: "test-index",
+  query: {
+    match: {
+      my_field: "Which country is Paris in?",
+    },
+  },
+  highlight: {
+    fields: {
+      my_field: {
+        type: "semantic",
+        number_of_fragments: 2,
+        order: "score",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/2afdf0d83724953aa2875b5fb37d60cc.asciidoc

@@ -3,12 +3,9 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "GET",
-  path: "/_query/async/FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
-  querystring: {
-    wait_for_completion_timeout: "30s",
-  },
+const response = await client.esql.asyncQueryGet({
+  id: "FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
+  wait_for_completion_timeout: "30s",
 });
 console.log(response);
 ----

docs/doc_examples/2f72a63c73dd672ac2dc3997ad15dd41.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: "test-index",
+  mappings: {
+    properties: {
+      source_field: {
+        type: "text",
+        fields: {
+          infer_field: {
+            type: "semantic_text",
+            inference_id: ".elser-2-elasticsearch",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/2f9ee29fe49f7d206a41212aa5945296.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.createFrom({
+  source: "my-index",
+  dest: "my-new-index",
+  create_from: {
+    settings_override: {
+      index: {
+        "blocks.write": null,
+        "blocks.read": null,
+        "blocks.read_only": null,
+        "blocks.read_only_allow_delete": null,
+        "blocks.metadata": null,
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/31832bd71c31c46a1ccf8d1c210d89d4.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-*",
+  query: {
+    bool: {
+      must: [
+        {
+          match: {
+            "user.id": "kimchy",
+          },
+        },
+      ],
+      must_not: [
+        {
+          terms: {
+            _index: ["my-index-01"],
+          },
+        },
+      ],
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/32c8c86702ccd68eb70f1573409c2a1f.asciidoc

@@ -0,0 +1,31 @@
+// 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.ilm.putLifecycle({
+  name: "my_policy",
+  policy: {
+    phases: {
+      hot: {
+        actions: {
+          rollover: {
+            max_primary_shard_size: "50gb",
+          },
+          searchable_snapshot: {
+            snapshot_repository: "backing_repo",
+            replicate_for: "14d",
+          },
+        },
+      },
+      delete: {
+        min_age: "28d",
+        actions: {
+          delete: {},
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/3312c82f81816bf76629db9582991812.asciidoc

@@ -14,6 +14,7 @@ const response = await client.indices.putSettings({
     "index.search.slowlog.threshold.fetch.info": "800ms",
     "index.search.slowlog.threshold.fetch.debug": "500ms",
     "index.search.slowlog.threshold.fetch.trace": "200ms",
+    "index.search.slowlog.include.user": true,
   },
 });
 console.log(response);

docs/doc_examples/3649194a97d265a3bc758f8b38f7561e.asciidoc

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

docs/doc_examples/36792c81c053e0555407d1e83e7e054f.asciidoc

@@ -0,0 +1,70 @@
+// 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: "movies",
+  size: 10,
+  retriever: {
+    rescorer: {
+      rescore: {
+        window_size: 50,
+        query: {
+          rescore_query: {
+            script_score: {
+              query: {
+                match_all: {},
+              },
+              script: {
+                source:
+                  "cosineSimilarity(params.queryVector, 'product-vector_final_stage') + 1.0",
+                params: {
+                  queryVector: [-0.5, 90, -10, 14.8, -156],
+                },
+              },
+            },
+          },
+        },
+      },
+      retriever: {
+        rrf: {
+          rank_window_size: 100,
+          retrievers: [
+            {
+              standard: {
+                query: {
+                  sparse_vector: {
+                    field: "plot_embedding",
+                    inference_id: "my-elser-model",
+                    query: "films that explore psychological depths",
+                  },
+                },
+              },
+            },
+            {
+              standard: {
+                query: {
+                  multi_match: {
+                    query: "crime",
+                    fields: ["plot", "title"],
+                  },
+                },
+              },
+            },
+            {
+              knn: {
+                field: "vector",
+                query_vector: [10, 22, 77],
+                k: 10,
+                num_candidates: 10,
+              },
+            },
+          ],
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/3722dad876023e0757138dd5a6d3240e.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: "my-index",
+  settings: {
+    index: {
+      number_of_shards: 3,
+      "blocks.write": true,
+    },
+  },
+  mappings: {
+    properties: {
+      field1: {
+        type: "text",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/38ba93890494bfa7beece58dffa44f98.asciidoc

@@ -1,23 +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.bulk({
-  index: "test-index",
-  operations: [
-    {
-      update: {
-        _id: "1",
-      },
-    },
-    {
-      doc: {
-        infer_field: "updated inference field",
-        source_field: "updated source field",
-      },
-    },
-  ],
-});
-console.log(response);
-----

docs/doc_examples/3a204b57072a104d9b50f3a9e064a8f6.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.search({
+  index: ".ml-anomalies-custom-example",
+  size: 0,
+  aggs: {
+    job_ids: {
+      terms: {
+        field: "job_id",
+        size: 100,
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/3bc4a3681e3ea9cb3de49f72085807d8.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.search({
+  index: "retrievers_example",
+  retriever: {
+    linear: {
+      retrievers: [
+        {
+          retriever: {
+            standard: {
+              query: {
+                function_score: {
+                  query: {
+                    term: {
+                      topic: "ai",
+                    },
+                  },
+                  functions: [
+                    {
+                      script_score: {
+                        script: {
+                          source: "doc['timestamp'].value.millis",
+                        },
+                      },
+                    },
+                  ],
+                  boost_mode: "replace",
+                },
+              },
+              sort: {
+                timestamp: {
+                  order: "asc",
+                },
+              },
+            },
+          },
+          weight: 2,
+          normalizer: "minmax",
+        },
+        {
+          retriever: {
+            knn: {
+              field: "vector",
+              query_vector: [0.23, 0.67, 0.89],
+              k: 3,
+              num_candidates: 5,
+            },
+          },
+          weight: 1.5,
+        },
+      ],
+      rank_window_size: 10,
+    },
+  },
+  _source: false,
+});
+console.log(response);
+----

docs/doc_examples/3ea4c971b3f47735dcc207ee2645fa03.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.indices.updateAliases({
+  actions: [
+    {
+      remove_index: {
+        index: "my-index-2099.05.06-000001",
+      },
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/3f1fe5f5f99b98d0891f38003e10b636.asciidoc

@@ -3,14 +3,10 @@
 
 [source, js]
 ----
-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  ",
-    wait_for_completion_timeout: "2s",
-  },
+const response = await client.esql.asyncQuery({
+  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  ",
+  wait_for_completion_timeout: "2s",
 });
 console.log(response);
 ----

docs/doc_examples/3f9dcf2aa42f3ecfb5ebfe48c1774103.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: "kibana_sample_data_ecommerce",
+  size: 0,
+  aggs: {
+    order_stats: {
+      stats: {
+        field: "taxful_total_price",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/405511f7c1f12cc0a227b4563fe7b2e2.asciidoc

@@ -3,9 +3,8 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "GET",
-  path: "/_query/async/FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
+const response = await client.esql.asyncQueryGet({
+  id: "FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
 });
 console.log(response);
 ----

docs/doc_examples/41d24383d29b2808a65258a0a3256e96.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: "jinaai-index",
+  mappings: {
+    properties: {
+      content: {
+        type: "semantic_text",
+        inference_id: "jinaai-embeddings",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/45954b8aaedfed57012be8b6538b0a24.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.inference.chatCompletionUnified({
+  inference_id: "openai-completion",
+  chat_completion_request: {
+    messages: [
+      {
+        role: "user",
+        content: [
+          {
+            type: "text",
+            text: "What's the price of a scarf?",
+          },
+        ],
+      },
+    ],
+    tools: [
+      {
+        type: "function",
+        function: {
+          name: "get_current_price",
+          description: "Get the current price of a item",
+          parameters: {
+            type: "object",
+            properties: {
+              item: {
+                id: "123",
+              },
+            },
+          },
+        },
+      },
+    ],
+    tool_choice: {
+      type: "function",
+      function: {
+        name: "get_current_price",
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/46b771a9932c3fa6057a7b2679c72ef0.asciidoc

@@ -0,0 +1,10 @@
+// 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.getMigrateReindexStatus({
+  index: "my-data-stream",
+});
+console.log(response);
+----

docs/doc_examples/48e142e6c69014e0509d4c9251749d77.asciidoc

@@ -10,7 +10,8 @@ const response = await client.inference.put({
     service: "openai",
     service_settings: {
       api_key: "<api_key>",
-      model_id: "text-embedding-ada-002",
+      model_id: "text-embedding-3-small",
+      dimensions: 128,
     },
   },
 });

docs/doc_examples/4982c547be1ad9455ae836990aea92c5.asciidoc

@@ -6,6 +6,11 @@
 const response = await client.ml.startTrainedModelDeployment({
   model_id: "my_model",
   deployment_id: "my_model_for_search",
+  adaptive_allocations: {
+    enabled: true,
+    min_number_of_allocations: 3,
+    max_number_of_allocations: 10,
+  },
 });
 console.log(response);
 ----

docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

@@ -3,12 +3,9 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_inference/completion/openai-completion/_stream",
-  body: {
-    input: "What is Elastic?",
-  },
+const response = await client.inference.streamCompletion({
+  inference_id: "openai-completion",
+  input: "What is Elastic?",
 });
 console.log(response);
 ----

docs/doc_examples/4de4bb55bbc0a76c75d256f245a3ee3f.asciidoc

@@ -5,16 +5,11 @@
 ----
 const response = await client.inference.put({
   task_type: "sparse_embedding",
-  inference_id: "my-elser-endpoint",
+  inference_id: "elser-model-eis",
   inference_config: {
-    service: "elser",
+    service: "elastic",
     service_settings: {
-      adaptive_allocations: {
-        enabled: true,
-        min_number_of_allocations: 3,
-        max_number_of_allocations: 10,
-      },
-      num_threads: 1,
+      model_name: "elser",
     },
   },
 });

docs/doc_examples/519e46350316a33162740e5d7968aa2c.asciidoc

@@ -3,15 +3,18 @@
 
 [source, js]
 ----
-const response = await client.knnSearch({
-  index: "my-index",
+const response = await client.search({
+  index: "image-index",
   knn: {
-    field: "image_vector",
-    query_vector: [0.3, 0.1, 1.2],
+    field: "image-vector",
+    query_vector: [-5, 9, -12],
     k: 10,
     num_candidates: 100,
+    rescore_vector: {
+      oversample: 2,
+    },
   },
-  _source: ["name", "file_type"],
+  fields: ["title", "file-type"],
 });
 console.log(response);
 ----

docs/doc_examples/537bce129338d9227bccb6a0283dab45.asciidoc

@@ -5,7 +5,7 @@
 ----
 const response = await client.cluster.putSettings({
   persistent: {
-    "cluster.routing.allocation.disk.watermark.low": "30gb",
+    "migrate.data_stream_reindex_max_request_per_second": 10000,
   },
 });
 console.log(response);

docs/doc_examples/53d9d2ec9cb8d211772d764e76fe6890.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.ingest.simulate({
+  id: "query_helper_pipeline",
+  docs: [
+    {
+      _source: {
+        content:
+          "artificial intelligence in medicine articles published in the last 12 months",
+      },
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/57dc15e5ad663c342fd5c1d86fcd1b29.asciidoc

@@ -3,14 +3,10 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_security/oidc/prepare",
-  body: {
-    realm: "oidc1",
-    state: "lGYK0EcSLjqH6pkT5EVZjC6eIW5YCGgywj2sxROO",
-    nonce: "zOBXLJGUooRrbLbQk5YCcyC8AXw3iloynvluYhZ5",
-  },
+const response = await client.security.oidcPrepareAuthentication({
+  realm: "oidc1",
+  state: "lGYK0EcSLjqH6pkT5EVZjC6eIW5YCGgywj2sxROO",
+  nonce: "zOBXLJGUooRrbLbQk5YCcyC8AXw3iloynvluYhZ5",
 });
 console.log(response);
 ----

docs/doc_examples/5836b09198feb1269ed12839b416123d.asciidoc

@@ -3,11 +3,13 @@
 
 [source, js]
 ----
-const response = await client.inference.inference({
-  task_type: "my-inference-endpoint",
-  inference_id: "_update",
-  service_settings: {
-    api_key: "<API_KEY>",
+const response = await client.search({
+  index: "jinaai-index",
+  query: {
+    semantic: {
+      field: "content",
+      query: "who inspired taking care of the sea?",
+    },
   },
 });
 console.log(response);

docs/doc_examples/59aa5216630f80c5dc298fc5bba4a819.asciidoc

@@ -0,0 +1,10 @@
+// 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.getSettings({
+  index: ".reindexed-v9-ml-anomalies-custom-example",
+});
+console.log(response);
+----

docs/doc_examples/5bba213a7f543190139d1a69ab2ed076.asciidoc

@@ -3,17 +3,11 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  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  ",
-    include_ccs_metadata: true,
-  },
+const response = await client.esql.asyncQuery({
+  format: "json",
+  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/615dc36f0978c676624fb7d1144b4899.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.indices.getDataLifecycleStats({
+  human: "true",
+  pretty: "true",
+});
+console.log(response);
+----

docs/doc_examples/66915e95b723ee2f6e5164a94b8f98c1.asciidoc

@@ -0,0 +1,12 @@
+// 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.createFrom({
+  source: "my-index",
+  dest: "my-new-index",
+  create_from: null,
+});
+console.log(response);
+----

docs/doc_examples/67b71a95b6fe6c83faae51ea038a1bf1.asciidoc

@@ -0,0 +1,10 @@
+// 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.asyncQueryDelete({
+  id: "FmdMX2pIang3UWhLRU5QS0lqdlppYncaMUpYQ05oSkpTc3kwZ21EdC1tbFJXQToxOTI=",
+});
+console.log(response);
+----

docs/doc_examples/6b67c6121efb86ee100d40c2646f77b5.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.indices.putSettings({
+  index: "*",
+  settings: {
+    "index.search.slowlog.include.user": true,
+    "index.search.slowlog.threshold.fetch.warn": "30s",
+    "index.search.slowlog.threshold.query.warn": "30s",
+  },
+});
+console.log(response);
+----

docs/doc_examples/6baf72c04d48cb04c2f8be609ff3b3b5.asciidoc

@@ -6,14 +6,15 @@
 const response = await client.search({
   index: "test-index",
   query: {
-    nested: {
-      path: "inference_field.inference.chunks",
-      query: {
-        sparse_vector: {
-          field: "inference_field.inference.chunks.embeddings",
-          inference_id: "my-inference-id",
-          query: "mountain lake",
-        },
+    match: {
+      my_semantic_field: "Which country is Paris in?",
+    },
+  },
+  highlight: {
+    fields: {
+      my_semantic_field: {
+        number_of_fragments: 2,
+        order: "score",
       },
     },
   },

docs/doc_examples/6e498b9dc753b94abf2618c407fa5cd8.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.reindex({
+  wait_for_completion: "false",
+  source: {
+    index: ".ml-anomalies-custom-example",
+  },
+  dest: {
+    index: ".reindexed-v9-ml-anomalies-custom-example",
+  },
+});
+console.log(response);
+----

docs/doc_examples/6f3b723bf6179b96c3413597ed7f49e1.asciidoc

@@ -3,12 +3,8 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_security/api_key/_bulk_update",
-  body: {
-    ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
-  },
+const response = await client.security.bulkUpdateApiKeys({
+  ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
 });
 console.log(response);
 ----

docs/doc_examples/6fa02c2ad485bbe91f44b321158250f3.asciidoc

@@ -12,6 +12,13 @@ const response = await client.search({
       fields: ["my_field", "my_field._2gram", "my_field._3gram"],
     },
   },
+  highlight: {
+    fields: {
+      my_field: {
+        matched_fields: ["my_field._index_prefix"],
+      },
+    },
+  },
 });
 console.log(response);
 ----

docs/doc_examples/730045fae3743c39b612813a42c330c3.asciidoc

@@ -0,0 +1,24 @@
+// 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-000001",
+  query: {
+    prefix: {
+      full_name: {
+        value: "ki",
+      },
+    },
+  },
+  highlight: {
+    fields: {
+      full_name: {
+        matched_fields: ["full_name._index_prefix"],
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/7429b16221fe741fd31b0584786dd0b0.asciidoc

@@ -3,8 +3,7 @@
 
 [source, js]
 ----
-const response = await client.inference.inference({
-  task_type: "text_embedding",
+const response = await client.inference.textEmbedding({
   inference_id: "my-cohere-endpoint",
   input:
     "The sky above the port was the color of television tuned to a dead channel.",

docs/doc_examples/7478ff69113fb53f41ea07cdf911fa67.asciidoc

@@ -0,0 +1,33 @@
+// 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: "kibana_sample_data_ecommerce",
+  size: 0,
+  aggs: {
+    daily_sales: {
+      date_histogram: {
+        field: "order_date",
+        calendar_interval: "day",
+      },
+      aggs: {
+        daily_revenue: {
+          sum: {
+            field: "taxful_total_price",
+          },
+        },
+        smoothed_revenue: {
+          moving_fn: {
+            buckets_path: "daily_revenue",
+            window: 3,
+            script: "MovingFunctions.unweightedAvg(values)",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/74b229a6e020113e5749099451979c89.asciidoc

@@ -1,26 +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.search({
-  index: "test-index",
-  query: {
-    nested: {
-      path: "inference_field.inference.chunks",
-      query: {
-        knn: {
-          field: "inference_field.inference.chunks.embeddings",
-          query_vector_builder: {
-            text_embedding: {
-              model_id: "my_inference_id",
-              model_text: "mountain lake",
-            },
-          },
-        },
-      },
-    },
-  },
-});
-console.log(response);
-----

docs/doc_examples/77518e8c6198acfe77c0934fd2fe65cb.asciidoc

@@ -3,35 +3,31 @@
 
 [source, js]
 ----
-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",
-      "[2024-03-05T10:52:41,038][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [repository-url]",
-      "[2024-03-05T10:52:41,042][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [rest-root]",
-      "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-core]",
-      "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-redact]",
-      "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [ingest-user-agent]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-monitoring]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [repository-s3]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-analytics]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-ent-search]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-autoscaling]",
-      "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [lang-painless]]",
-      "[2024-03-05T10:52:41,059][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [lang-expression]",
-      "[2024-03-05T10:52:41,059][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-eql]",
-      "[2024-03-05T10:52:43,291][INFO ][o.e.e.NodeEnvironment    ] [laptop] heap size [16gb], compressed ordinary object pointers [true]",
-      "[2024-03-05T10:52:46,098][INFO ][o.e.x.s.Security         ] [laptop] Security is enabled",
-      "[2024-03-05T10:52:47,227][INFO ][o.e.x.p.ProfilingPlugin  ] [laptop] Profiling is enabled",
-      "[2024-03-05T10:52:47,259][INFO ][o.e.x.p.ProfilingPlugin  ] [laptop] profiling index templates will not be installed or reinstalled",
-      "[2024-03-05T10:52:47,755][INFO ][o.e.i.r.RecoverySettings ] [laptop] using rate limit [40mb] with [default=40mb, read=0b, write=0b, max=0b]",
-      "[2024-03-05T10:52:47,787][INFO ][o.e.d.DiscoveryModule    ] [laptop] using discovery type [multi-node] and seed hosts providers [settings]",
-      "[2024-03-05T10:52:49,188][INFO ][o.e.n.Node               ] [laptop] initialized",
-      "[2024-03-05T10:52:49,199][INFO ][o.e.n.Node               ] [laptop] starting ...",
-    ],
-  },
+const response = await client.textStructure.findMessageStructure({
+  messages: [
+    "[2024-03-05T10:52:36,256][INFO ][o.a.l.u.VectorUtilPanamaProvider] [laptop] Java vector incubator API enabled; uses preferredBitSize=128",
+    "[2024-03-05T10:52:41,038][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [repository-url]",
+    "[2024-03-05T10:52:41,042][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [rest-root]",
+    "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-core]",
+    "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-redact]",
+    "[2024-03-05T10:52:41,043][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [ingest-user-agent]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-monitoring]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [repository-s3]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-analytics]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-ent-search]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-autoscaling]",
+    "[2024-03-05T10:52:41,044][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [lang-painless]]",
+    "[2024-03-05T10:52:41,059][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [lang-expression]",
+    "[2024-03-05T10:52:41,059][INFO ][o.e.p.PluginsService     ] [laptop] loaded module [x-pack-eql]",
+    "[2024-03-05T10:52:43,291][INFO ][o.e.e.NodeEnvironment    ] [laptop] heap size [16gb], compressed ordinary object pointers [true]",
+    "[2024-03-05T10:52:46,098][INFO ][o.e.x.s.Security         ] [laptop] Security is enabled",
+    "[2024-03-05T10:52:47,227][INFO ][o.e.x.p.ProfilingPlugin  ] [laptop] Profiling is enabled",
+    "[2024-03-05T10:52:47,259][INFO ][o.e.x.p.ProfilingPlugin  ] [laptop] profiling index templates will not be installed or reinstalled",
+    "[2024-03-05T10:52:47,755][INFO ][o.e.i.r.RecoverySettings ] [laptop] using rate limit [40mb] with [default=40mb, read=0b, write=0b, max=0b]",
+    "[2024-03-05T10:52:47,787][INFO ][o.e.d.DiscoveryModule    ] [laptop] using discovery type [multi-node] and seed hosts providers [settings]",
+    "[2024-03-05T10:52:49,188][INFO ][o.e.n.Node               ] [laptop] initialized",
+    "[2024-03-05T10:52:49,199][INFO ][o.e.n.Node               ] [laptop] starting ...",
+  ],
 });
 console.log(response);
 ----

docs/doc_examples/77cebba946fe648873a1e7375c13df41.asciidoc

@@ -5,10 +5,8 @@
 ----
 const response = await client.cluster.putSettings({
   persistent: {
-    "cluster.routing.allocation.disk.watermark.low": "100gb",
-    "cluster.routing.allocation.disk.watermark.high": "50gb",
-    "cluster.routing.allocation.disk.watermark.flood_stage": "10gb",
-    "cluster.info.update.interval": "1m",
+    "cluster.routing.allocation.disk.watermark.low": "90%",
+    "cluster.routing.allocation.disk.watermark.high": "95%",
   },
 });
 console.log(response);

docs/doc_examples/790684b45bef2bb848ea932f0fd0cfbd.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({
+  query: {
+    intervals: {
+      my_text: {
+        all_of: {
+          ordered: false,
+          max_gaps: 1,
+          intervals: [
+            {
+              match: {
+                query: "my favorite food",
+                max_gaps: 0,
+                ordered: true,
+              },
+            },
+            {
+              match: {
+                query: "cold porridge",
+                max_gaps: 4,
+                ordered: true,
+              },
+            },
+          ],
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/7ba29f0be2297b54a640b0a17d7ef5ca.asciidoc

@@ -3,9 +3,8 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "DELETE",
-  path: "/_ingest/ip_location/database/my-database-id",
+const response = await client.ingest.deleteIpLocationDatabase({
+  id: "my-database-id",
 });
 console.log(response);
 ----

docs/doc_examples/7bdc283b96c7a965fae23013647b8578.asciidoc

@@ -7,14 +7,14 @@ const response = await client.indices.create({
   index: "test-index",
   mappings: {
     properties: {
-      infer_field: {
-        type: "semantic_text",
-        inference_id: "my-elser-endpoint",
-      },
       source_field: {
         type: "text",
         copy_to: "infer_field",
       },
+      infer_field: {
+        type: "semantic_text",
+        inference_id: ".elser-2-elasticsearch",
+      },
     },
   },
 });

docs/doc_examples/7dd0d9cc6c5982a2c003d301e90feeba.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: "kibana_sample_data_ecommerce",
+  size: 0,
+  aggs: {
+    daily_sales: {
+      date_histogram: {
+        field: "order_date",
+        calendar_interval: "day",
+        format: "yyyy-MM-dd",
+      },
+      aggs: {
+        revenue: {
+          sum: {
+            field: "taxful_total_price",
+          },
+        },
+        unique_customers: {
+          cardinality: {
+            field: "customer_id",
+          },
+        },
+        avg_basket_size: {
+          avg: {
+            field: "total_quantity",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/80135e8c644e34cc70ce8a4e7915d1a2.asciidoc

@@ -12,7 +12,7 @@ const response = await client.ingest.putPipeline({
         field: "data",
         indexed_chars: 11,
         indexed_chars_field: "max_size",
-        remove_binary: false,
+        remove_binary: true,
       },
     },
   ],

docs/doc_examples/80dd7f5882c59b9c1c90e8351937441f.asciidoc

@@ -3,30 +3,26 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_security/api_key/_bulk_update",
-  body: {
-    ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
-    role_descriptors: {
-      "role-a": {
-        indices: [
-          {
-            names: ["*"],
-            privileges: ["write"],
-          },
-        ],
-      },
+const response = await client.security.bulkUpdateApiKeys({
+  ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
+  role_descriptors: {
+    "role-a": {
+      indices: [
+        {
+          names: ["*"],
+          privileges: ["write"],
+        },
+      ],
     },
-    metadata: {
-      environment: {
-        level: 2,
-        trusted: true,
-        tags: ["production"],
-      },
-    },
-    expiration: "30d",
   },
+  metadata: {
+    environment: {
+      level: 2,
+      trusted: true,
+      tags: ["production"],
+    },
+  },
+  expiration: "30d",
 });
 console.log(response);
 ----

docs/doc_examples/82bb6c61dab959f4446dc5ecab7ecbdf.asciidoc

@@ -0,0 +1,33 @@
+// 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.chatCompletionUnified({
+  inference_id: "openai-completion",
+  chat_completion_request: {
+    messages: [
+      {
+        role: "assistant",
+        content: "Let's find out what the weather is",
+        tool_calls: [
+          {
+            id: "call_KcAjWtAww20AihPHphUh46Gd",
+            type: "function",
+            function: {
+              name: "get_current_weather",
+              arguments: '{"location":"Boston, MA"}',
+            },
+          },
+        ],
+      },
+      {
+        role: "tool",
+        content: "The weather is cold",
+        tool_call_id: "call_KcAjWtAww20AihPHphUh46Gd",
+      },
+    ],
+  },
+});
+console.log(response);
+----

docs/doc_examples/8621c05cc7cf3880bde751f6670a0c3a.asciidoc

@@ -4,9 +4,11 @@
 [source, js]
 ----
 const response = await client.indices.putSettings({
-  index: "my-index-000001",
+  index: ".reindexed-v9-ml-anomalies-custom-example",
   settings: {
-    "index.search.slowlog.include.user": true,
+    index: {
+      number_of_replicas: 0,
+    },
   },
 });
 console.log(response);

docs/doc_examples/89f547649895176c246bb8c41313ff21.asciidoc

@@ -0,0 +1,12 @@
+// 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({
+  query:
+    '\nFROM library\n| EVAL year = DATE_EXTRACT("year", release_date)\n| WHERE page_count > ? AND match(author, ?, {"minimum_should_match": ?})\n| LIMIT 5\n',
+  params: [300, "Frank Herbert", 2],
+});
+console.log(response);
+----

docs/doc_examples/8c47c80139f40f25db44f5781ca2dfbe.asciidoc

@@ -0,0 +1,10 @@
+// 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.getAlias({
+  index: ".ml-anomalies-custom-example",
+});
+console.log(response);
+----

docs/doc_examples/8c639d3eef5c2de29e12bd9c6a42d3d4.asciidoc

@@ -0,0 +1,39 @@
+// 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: "kibana_sample_data_ecommerce",
+  size: 0,
+  aggs: {
+    categories: {
+      terms: {
+        field: "category.keyword",
+        size: 5,
+        order: {
+          total_revenue: "desc",
+        },
+      },
+      aggs: {
+        total_revenue: {
+          sum: {
+            field: "taxful_total_price",
+          },
+        },
+        avg_order_value: {
+          avg: {
+            field: "taxful_total_price",
+          },
+        },
+        total_items: {
+          sum: {
+            field: "total_quantity",
+          },
+        },
+      },
+    },
+  },
+});
+console.log(response);
+----

docs/doc_examples/91e106a2affbc8df32cd940684a779ed.asciidoc

@@ -3,10 +3,9 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "PUT",
-  path: "/_ingest/ip_location/database/my-database-1",
-  body: {
+const response = await client.ingest.putIpLocationDatabase({
+  id: "my-database-1",
+  configuration: {
     name: "GeoIP2-Domain",
     maxmind: {
       account_id: "1234567",

docs/doc_examples/9250ac57ec81d5192e8ad4c462438489.asciidoc

@@ -0,0 +1,42 @@
+// 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: "jinaai-index",
+  operations: [
+    {
+      index: {
+        _index: "jinaai-index",
+        _id: "1",
+      },
+    },
+    {
+      content:
+        "Sarah Johnson is a talented marine biologist working at the Oceanographic Institute. Her groundbreaking research on coral reef ecosystems has garnered international attention and numerous accolades.",
+    },
+    {
+      index: {
+        _index: "jinaai-index",
+        _id: "2",
+      },
+    },
+    {
+      content:
+        "She spends months at a time diving in remote locations, meticulously documenting the intricate relationships between various marine species. ",
+    },
+    {
+      index: {
+        _index: "jinaai-index",
+        _id: "3",
+      },
+    },
+    {
+      content:
+        "Her dedication to preserving these delicate underwater environments has inspired a new generation of conservationists.",
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/931817b168e055ecf738785c721125dd.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.ingest.putPipeline({
+  id: "query_helper_pipeline",
+  processors: [
+    {
+      script: {
+        source:
+          "ctx.prompt = 'Please generate an elasticsearch search query on index `articles_index` for the following natural language query. Dates are in the field `@timestamp`, document types are in the field `type` (options are `news`, `publication`), categories in the field `category` and can be multiple (options are `medicine`, `pharmaceuticals`, `technology`), and document names are in the field `title` which should use a fuzzy match. Ignore fields which cannot be determined from the natural language query context: ' + ctx.content",
+      },
+    },
+    {
+      inference: {
+        model_id: "openai_chat_completions",
+        input_output: {
+          input_field: "prompt",
+          output_field: "query",
+        },
+      },
+    },
+    {
+      remove: {
+        field: "prompt",
+      },
+    },
+  ],
+});
+console.log(response);
+----

docs/doc_examples/947efe87db7f8813c0878f8affc3e2d1.asciidoc

@@ -3,8 +3,6 @@
 
 [source, js]
 ----
-const response = await client.security.queryRole({
-  sort: ["name"],
-});
+const response = await client.indices.resolveCluster();
 console.log(response);
 ----

docs/doc_examples/948418e0ef1b7e7cfee2f11be715d7d2.asciidoc

@@ -5,6 +5,9 @@
 ----
 const response = await client.indices.create({
   index: "retrievers_example_nested",
+  settings: {
+    number_of_shards: 1,
+  },
   mappings: {
     properties: {
       nested_field: {
@@ -18,6 +21,9 @@ const response = await client.indices.create({
             dims: 3,
             similarity: "l2_norm",
             index: true,
+            index_options: {
+              type: "flat",
+            },
           },
         },
       },

docs/doc_examples/99fb82d49ac477e6a9dfdd71f9465374.asciidoc

@@ -3,9 +3,8 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "DELETE",
-  path: "/_ingest/ip_location/database/example-database-id",
+const response = await client.ingest.deleteIpLocationDatabase({
+  id: "example-database-id",
 });
 console.log(response);
 ----

docs/doc_examples/9afa0844883b7471883aa378a8dd10b4.asciidoc

@@ -3,10 +3,10 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_application/analytics/my_analytics_collection/event/search_click",
-  body: {
+const response = await client.searchApplication.postBehavioralAnalyticsEvent({
+  collection_name: "my_analytics_collection",
+  event_type: "search_click",
+  payload: {
     session: {
       id: "1797ca95-91c9-4e2e-b1bd-9c38e6f386a9",
     },

docs/doc_examples/9c01db07c9ac395b6370e3b33965c21f.asciidoc

@@ -3,16 +3,12 @@
 
 [source, js]
 ----
-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",
-    state: "4dbrihtIAt3wBTwo6DxK-vdk-sSyDBV8Yf0AjdkdT5I",
-    nonce: "WaBPH0KqPVdG5HHdSxPRjfoZbXMCicm5v1OiAj0DUFM",
-    realm: "oidc1",
-  },
+const response = await client.security.oidcAuthenticate({
+  redirect_uri:
+    "https://oidc-kibana.elastic.co:5603/api/security/oidc/callback?code=jtI3Ntt8v3_XvcLzCFGq&state=4dbrihtIAt3wBTwo6DxK-vdk-sSyDBV8Yf0AjdkdT5I",
+  state: "4dbrihtIAt3wBTwo6DxK-vdk-sSyDBV8Yf0AjdkdT5I",
+  nonce: "WaBPH0KqPVdG5HHdSxPRjfoZbXMCicm5v1OiAj0DUFM",
+  realm: "oidc1",
 });
 console.log(response);
 ----

docs/doc_examples/9cc952d4a03264b700136cbc45abc8c6.asciidoc

@@ -0,0 +1,30 @@
+// 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-rank-vectors-byte",
+  mappings: {
+    properties: {
+      my_vector: {
+        type: "rank_vectors",
+        element_type: "byte",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "my-rank-vectors-byte",
+  id: 1,
+  document: {
+    my_vector: [
+      [1, 2, 3],
+      [4, 5, 6],
+    ],
+  },
+});
+console.log(response1);
+----

docs/doc_examples/a162eb50853331c80596f5994e9d1c38.asciidoc

@@ -3,13 +3,10 @@
 
 [source, js]
 ----
-const response = await client.transport.request({
-  method: "POST",
-  path: "/_application/search_application/my_search_application/_render_query",
-  body: {
-    params: {
-      query_string: "rock climbing",
-    },
+const response = await client.searchApplication.renderQuery({
+  name: "my_search_application",
+  params: {
+    query_string: "rock climbing",
   },
 });
 console.log(response);

docs/doc_examples/a46f566ca031375658c22f89b87dc6d2.asciidoc

@@ -0,0 +1,12 @@
+// 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.cat.indices({
+  index: ".ml-anomalies-custom-example",
+  v: "true",
+  h: "index,store.size",
+});
+console.log(response);
+----

docs/doc_examples/a60aaed30d7d26eaacbb2c0ed4ddc66d.asciidoc

@@ -0,0 +1,10 @@
+// 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.cancelMigrateReindex({
+  index: "my-data-stream",
+});
+console.log(response);
+----