diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json
index a3dda9d90e..797ad4c8e2 100644
--- a/output/openapi/elasticsearch-openapi.json
+++ b/output/openapi/elasticsearch-openapi.json
@@ -22503,7 +22503,7 @@
                 "MlEvaluateDataFrameRequestExample4": {
                   "summary": "Regression example 1",
                   "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the testing error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the test split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",
-                  "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    },\n    \"evaluation\": {\n      \"regression\": {\n        \"actual_field\": \"price\",\n        \"predicted_field\": \"ml.price_prediction\",\n        \"metrics\": {\n          \"r_squared\": {},\n          \"mse\": {},\n          \"msle\": {\n            \"offset\": 10\n          },\n          \"huber\": {\n            \"delta\": 1.5\n          }\n        }\n      }\n    }\n  }\n}"
+                  "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    }\n  },\n  \"evaluation\": {\n    \"regression\": {\n      \"actual_field\": \"price\",\n      \"predicted_field\": \"ml.price_prediction\",\n      \"metrics\": {\n        \"r_squared\": {},\n        \"mse\": {},\n        \"msle\": {\n          \"offset\": 10\n        },\n        \"huber\": {\n          \"delta\": 1.5\n        }\n      }\n    }\n  }\n}"
                 },
                 "MlEvaluateDataFrameRequestExample5": {
                   "summary": "Regression example 2",
@@ -114167,7 +114167,7 @@
               "MultiTermVectorsRequestExample2": {
                 "summary": "Simplified syntax",
                 "description": "Run `POST /my-index-000001/_mtermvectors`. If all requested documents are in same index and the parameters are the same, you can use a simplified syntax.\n",
-                "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"parameters\": {\n    \"fields\": [\n      \"message\"\n    ],\n    \"term_statistics\": true\n  }\n}"
+                "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"fields\": [\n    \"message\"\n  ],\n  \"term_statistics\": true\n}"
               },
               "MultiTermVectorsRequestExample3": {
                 "summary": "Artificial documents",
diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json
index e4e6b8fe61..556bd04a4a 100644
--- a/output/openapi/elasticsearch-serverless-openapi.json
+++ b/output/openapi/elasticsearch-serverless-openapi.json
@@ -13035,7 +13035,7 @@
                 "MlEvaluateDataFrameRequestExample4": {
                   "summary": "Regression example 1",
                   "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the testing error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the test split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",
-                  "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    },\n    \"evaluation\": {\n      \"regression\": {\n        \"actual_field\": \"price\",\n        \"predicted_field\": \"ml.price_prediction\",\n        \"metrics\": {\n          \"r_squared\": {},\n          \"mse\": {},\n          \"msle\": {\n            \"offset\": 10\n          },\n          \"huber\": {\n            \"delta\": 1.5\n          }\n        }\n      }\n    }\n  }\n}"
+                  "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    }\n  },\n  \"evaluation\": {\n    \"regression\": {\n      \"actual_field\": \"price\",\n      \"predicted_field\": \"ml.price_prediction\",\n      \"metrics\": {\n        \"r_squared\": {},\n        \"mse\": {},\n        \"msle\": {\n          \"offset\": 10\n        },\n        \"huber\": {\n          \"delta\": 1.5\n        }\n      }\n    }\n  }\n}"
                 },
                 "MlEvaluateDataFrameRequestExample5": {
                   "summary": "Regression example 2",
@@ -66950,7 +66950,7 @@
               "MultiTermVectorsRequestExample2": {
                 "summary": "Simplified syntax",
                 "description": "Run `POST /my-index-000001/_mtermvectors`. If all requested documents are in same index and the parameters are the same, you can use a simplified syntax.\n",
-                "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"parameters\": {\n    \"fields\": [\n      \"message\"\n    ],\n    \"term_statistics\": true\n  }\n}"
+                "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"fields\": [\n    \"message\"\n  ],\n  \"term_statistics\": true\n}"
               },
               "MultiTermVectorsRequestExample3": {
                 "summary": "Artificial documents",
diff --git a/output/schema/schema-serverless.json b/output/schema/schema-serverless.json
index cb4d76ffb8..05bdcd6380 100644
--- a/output/schema/schema-serverless.json
+++ b/output/schema/schema-serverless.json
@@ -30475,7 +30475,7 @@
         "MlEvaluateDataFrameRequestExample4": {
           "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the testing error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the test split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",
           "summary": "Regression example 1",
-          "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    },\n    \"evaluation\": {\n      \"regression\": {\n        \"actual_field\": \"price\",\n        \"predicted_field\": \"ml.price_prediction\",\n        \"metrics\": {\n          \"r_squared\": {},\n          \"mse\": {},\n          \"msle\": {\n            \"offset\": 10\n          },\n          \"huber\": {\n            \"delta\": 1.5\n          }\n        }\n      }\n    }\n  }\n}"
+          "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    }\n  },\n  \"evaluation\": {\n    \"regression\": {\n      \"actual_field\": \"price\",\n      \"predicted_field\": \"ml.price_prediction\",\n      \"metrics\": {\n        \"r_squared\": {},\n        \"mse\": {},\n        \"msle\": {\n          \"offset\": 10\n        },\n        \"huber\": {\n          \"delta\": 1.5\n        }\n      }\n    }\n  }\n}"
         },
         "MlEvaluateDataFrameRequestExample5": {
           "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the training error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the training split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",
@@ -37808,7 +37808,7 @@
         "MultiTermVectorsRequestExample2": {
           "description": "Run `POST /my-index-000001/_mtermvectors`. If all requested documents are in same index and the parameters are the same, you can use a simplified syntax.\n",
           "summary": "Simplified syntax",
-          "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"parameters\": {\n    \"fields\": [\n      \"message\"\n    ],\n    \"term_statistics\": true\n  }\n}"
+          "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"fields\": [\n    \"message\"\n  ],\n  \"term_statistics\": true\n}"
         },
         "MultiTermVectorsRequestExample3": {
           "description": "Run `POST /_mtermvectors` to generate term vectors for artificial documents provided in the body of the request. The mapping used is determined by the specified `_index`.\n",
diff --git a/output/schema/schema.json b/output/schema/schema.json
index 46e48bb6f8..2efef2cf3e 100644
--- a/output/schema/schema.json
+++ b/output/schema/schema.json
@@ -31983,7 +31983,7 @@
         "MultiTermVectorsRequestExample2": {
           "description": "Run `POST /my-index-000001/_mtermvectors`. If all requested documents are in same index and the parameters are the same, you can use a simplified syntax.\n",
           "summary": "Simplified syntax",
-          "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"parameters\": {\n    \"fields\": [\n      \"message\"\n    ],\n    \"term_statistics\": true\n  }\n}"
+          "value": "{\n  \"ids\": [ \"1\", \"2\" ],\n  \"fields\": [\n    \"message\"\n  ],\n  \"term_statistics\": true\n}"
         },
         "MultiTermVectorsRequestExample3": {
           "description": "Run `POST /_mtermvectors` to generate term vectors for artificial documents provided in the body of the request. The mapping used is determined by the specified `_index`.\n",
@@ -175030,7 +175030,7 @@
         "MlEvaluateDataFrameRequestExample4": {
           "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the testing error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the test split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",
           "summary": "Regression example 1",
-          "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    },\n    \"evaluation\": {\n      \"regression\": {\n        \"actual_field\": \"price\",\n        \"predicted_field\": \"ml.price_prediction\",\n        \"metrics\": {\n          \"r_squared\": {},\n          \"mse\": {},\n          \"msle\": {\n            \"offset\": 10\n          },\n          \"huber\": {\n            \"delta\": 1.5\n          }\n        }\n      }\n    }\n  }\n}"
+          "value": "{\n  \"index\": \"house_price_predictions\",\n  \"query\": {\n    \"bool\": {\n      \"filter\": [\n        {\n          \"term\": {\n            \"ml.is_training\": false\n          }\n        }\n      ]\n    }\n  },\n  \"evaluation\": {\n    \"regression\": {\n      \"actual_field\": \"price\",\n      \"predicted_field\": \"ml.price_prediction\",\n      \"metrics\": {\n        \"r_squared\": {},\n        \"mse\": {},\n        \"msle\": {\n          \"offset\": 10\n        },\n        \"huber\": {\n          \"delta\": 1.5\n        }\n      }\n    }\n  }\n}"
         },
         "MlEvaluateDataFrameRequestExample5": {
           "description": "Run `POST _ml/data_frame/_evaluate` to evaluate the training error of a regression job for an annotated index. The term query in the body limits evaluation to be performed on the training split only. The `actual_field` contains the ground truth for house prices. The `predicted_field` contains the house price calculated by the regression analysis.\n",