diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json
index 58d0f3857c..916f1211bf 100644
--- a/output/openapi/elasticsearch-openapi.json
+++ b/output/openapi/elasticsearch-openapi.json
@@ -23803,6 +23803,10 @@
                       }
                     ]
                   },
+                  "input_type": {
+                    "description": "The input data type for the text embedding model. Possible values include:\n* `SEARCH`\n* `INGEST`\n* `CLASSIFICATION`\n* `CLUSTERING`\nNot all services support all values. Unsupported values will trigger a validation exception.\nAccepted values depend on the configured inference service, refer to the relevant service-specific documentation for more info.\n\n> info\n> The `input_type` parameter specified on the root level of the request body will take precedence over the `input_type` parameter specified in `task_settings`.",
+                    "type": "string"
+                  },
                   "task_settings": {
                     "description": "Optional task settings",
                     "allOf": [
@@ -23820,7 +23824,7 @@
                 "TextEmbeddingRequestExample1": {
                   "summary": "Text embedding task",
                   "description": "Run `POST _inference/text_embedding/my-cohere-endpoint` to perform text embedding on the example sentence using the Cohere integration,",
-                  "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"task_settings\": {\n    \"input_type\": \"ingest\"\n  }\n}"
+                  "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"input_type\": \"ingest\"\n}"
                 }
               }
             }
diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json
index 4d2441d557..3334ff741b 100644
--- a/output/openapi/elasticsearch-serverless-openapi.json
+++ b/output/openapi/elasticsearch-serverless-openapi.json
@@ -14341,6 +14341,10 @@
                       }
                     ]
                   },
+                  "input_type": {
+                    "description": "The input data type for the text embedding model. Possible values include:\n* `SEARCH`\n* `INGEST`\n* `CLASSIFICATION`\n* `CLUSTERING`\nNot all services support all values. Unsupported values will trigger a validation exception.\nAccepted values depend on the configured inference service, refer to the relevant service-specific documentation for more info.\n\n> info\n> The `input_type` parameter specified on the root level of the request body will take precedence over the `input_type` parameter specified in `task_settings`.",
+                    "type": "string"
+                  },
                   "task_settings": {
                     "description": "Optional task settings",
                     "allOf": [
@@ -14358,7 +14362,7 @@
                 "TextEmbeddingRequestExample1": {
                   "summary": "Text embedding task",
                   "description": "Run `POST _inference/text_embedding/my-cohere-endpoint` to perform text embedding on the example sentence using the Cohere integration,",
-                  "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"task_settings\": {\n    \"input_type\": \"ingest\"\n  }\n}"
+                  "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"input_type\": \"ingest\"\n}"
                 }
               }
             }
diff --git a/output/schema/schema.json b/output/schema/schema.json
index f5c4618f82..c73da95bca 100644
--- a/output/schema/schema.json
+++ b/output/schema/schema.json
@@ -179197,6 +179197,18 @@
               ]
             }
           },
+          {
+            "description": "The input data type for the text embedding model. Possible values include:\n* `SEARCH`\n* `INGEST`\n* `CLASSIFICATION`\n* `CLUSTERING`\nNot all services support all values. Unsupported values will trigger a validation exception.\nAccepted values depend on the configured inference service, refer to the relevant service-specific documentation for more info.\n\n> info\n> The `input_type` parameter specified on the root level of the request body will take precedence over the `input_type` parameter specified in `task_settings`.",
+            "name": "input_type",
+            "required": false,
+            "type": {
+              "kind": "instance_of",
+              "type": {
+                "name": "string",
+                "namespace": "_builtins"
+              }
+            }
+          },
           {
             "description": "Optional task settings",
             "name": "task_settings",
@@ -179243,7 +179255,7 @@
           "description": "Run `POST _inference/text_embedding/my-cohere-endpoint` to perform text embedding on the example sentence using the Cohere integration,",
           "method_request": "POST _inference/text_embedding/my-cohere-endpoint",
           "summary": "Text embedding task",
-          "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"task_settings\": {\n    \"input_type\": \"ingest\"\n  }\n}"
+          "value": "{\n  \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n  \"input_type\": \"ingest\"\n}"
         }
       },
       "inherits": {
@@ -179285,7 +179297,7 @@
           }
         }
       ],
-      "specLocation": "inference/text_embedding/TextEmbeddingRequest.ts#L25-L63"
+      "specLocation": "inference/text_embedding/TextEmbeddingRequest.ts#L25-L76"
     },
     {
       "kind": "response",
diff --git a/output/typescript/types.ts b/output/typescript/types.ts
index 4e1384d17e..bd4cd435ba 100644
--- a/output/typescript/types.ts
+++ b/output/typescript/types.ts
@@ -14708,6 +14708,7 @@ export interface InferenceTextEmbeddingRequest extends RequestBase {
   timeout?: Duration
   body?: {
     input: string | string[]
+    input_type?: string
     task_settings?: InferenceTaskSettings
   }
 }
diff --git a/specification/inference/text_embedding/TextEmbeddingRequest.ts b/specification/inference/text_embedding/TextEmbeddingRequest.ts
index 7d26edb597..48a48792c8 100644
--- a/specification/inference/text_embedding/TextEmbeddingRequest.ts
+++ b/specification/inference/text_embedding/TextEmbeddingRequest.ts
@@ -55,6 +55,19 @@ export interface Request extends RequestBase {
      * Either a string or an array of strings.
      */
     input: string | Array<string>
+    /**
+     * The input data type for the text embedding model. Possible values include:
+     * * `SEARCH`
+     * * `INGEST`
+     * * `CLASSIFICATION`
+     * * `CLUSTERING`
+     * Not all services support all values. Unsupported values will trigger a validation exception.
+     * Accepted values depend on the configured inference service, refer to the relevant service-specific documentation for more info.
+     *
+     * > info
+     * > The `input_type` parameter specified on the root level of the request body will take precedence over the `input_type` parameter specified in `task_settings`.
+     */
+    input_type?: string
     /**
      * Optional task settings
      */
diff --git a/specification/inference/text_embedding/examples/request/TextEmbeddingRequestExample1.yaml b/specification/inference/text_embedding/examples/request/TextEmbeddingRequestExample1.yaml
index 6ad435dfd2..28f298a956 100644
--- a/specification/inference/text_embedding/examples/request/TextEmbeddingRequestExample1.yaml
+++ b/specification/inference/text_embedding/examples/request/TextEmbeddingRequestExample1.yaml
@@ -7,7 +7,5 @@ method_request: 'POST _inference/text_embedding/my-cohere-endpoint'
 value: |-
   {
     "input": "The sky above the port was the color of television tuned to a dead channel.",
-    "task_settings": {
-      "input_type": "ingest"
-    }
+    "input_type": "ingest"
   }