diff --git a/.generator/schemas/v1/openapi.yaml b/.generator/schemas/v1/openapi.yaml
index 0e64921915..58361804a6 100644
--- a/.generator/schemas/v1/openapi.yaml
+++ b/.generator/schemas/v1/openapi.yaml
@@ -2962,10 +2962,7 @@ components:
         data_source:
           $ref: '#/components/schemas/FormulaAndFunctionEventsDataSource'
         group_by:
-          description: Group by options.
-          items:
-            $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupBy'
-          type: array
+          $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupByConfig'
         indexes:
           description: An array of index names to query in the stream. Omit or use
             `[]` to query all indexes at once.
@@ -3037,6 +3034,39 @@ components:
       required:
       - facet
       type: object
+    FormulaAndFunctionEventQueryGroupByConfig:
+      description: Group by configuration for a formula and functions events query.
+        Can be a list of facet objects or a flat object with a list of fields.
+      oneOf:
+      - $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupByList'
+      - $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupByFields'
+    FormulaAndFunctionEventQueryGroupByFields:
+      description: Flat group by using multiple event facets.
+      properties:
+        fields:
+          description: List of event facets to group by.
+          example:
+          - hostname
+          - service
+          items:
+            description: Event facet.
+            type: string
+          type: array
+        limit:
+          description: Number of groups to return.
+          example: 10
+          format: int64
+          type: integer
+        sort:
+          $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupBySort'
+      required:
+      - fields
+      type: object
+    FormulaAndFunctionEventQueryGroupByList:
+      description: List of objects used to group by.
+      items:
+        $ref: '#/components/schemas/FormulaAndFunctionEventQueryGroupBy'
+      type: array
     FormulaAndFunctionEventQueryGroupBySort:
       description: Options for sorting group by results.
       properties:
diff --git a/docs/datadog_api_client.v1.model.rst b/docs/datadog_api_client.v1.model.rst
index b20c86c2ba..016a2aae8f 100644
--- a/docs/datadog_api_client.v1.model.rst
+++ b/docs/datadog_api_client.v1.model.rst
@@ -928,6 +928,20 @@ datadog\_api\_client.v1.model.formula\_and\_function\_event\_query\_group\_by mo
    :members:
    :show-inheritance:
 
+datadog\_api\_client.v1.model.formula\_and\_function\_event\_query\_group\_by\_config module
+--------------------------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.formula_and_function_event_query_group_by_config
+   :members:
+   :show-inheritance:
+
+datadog\_api\_client.v1.model.formula\_and\_function\_event\_query\_group\_by\_fields module
+--------------------------------------------------------------------------------------------
+
+.. automodule:: datadog_api_client.v1.model.formula_and_function_event_query_group_by_fields
+   :members:
+   :show-inheritance:
+
 datadog\_api\_client.v1.model.formula\_and\_function\_event\_query\_group\_by\_sort module
 ------------------------------------------------------------------------------------------
 
diff --git a/examples/v1/dashboards/CreateDashboard_1024858348.py b/examples/v1/dashboards/CreateDashboard_1024858348.py
index 8e9895050a..aefb09f82a 100644
--- a/examples/v1/dashboards/CreateDashboard_1024858348.py
+++ b/examples/v1/dashboards/CreateDashboard_1024858348.py
@@ -55,7 +55,6 @@
                                 compute=FormulaAndFunctionEventQueryDefinitionCompute(
                                     aggregation=FormulaAndFunctionEventAggregation.COUNT,
                                 ),
-                                group_by=[],
                             ),
                         ],
                         response_format=FormulaAndFunctionResponseFormat.SCALAR,
diff --git a/examples/v1/dashboards/CreateDashboard_2064651578.py b/examples/v1/dashboards/CreateDashboard_2064651578.py
index 30d4a0e328..8a80841b8a 100644
--- a/examples/v1/dashboards/CreateDashboard_2064651578.py
+++ b/examples/v1/dashboards/CreateDashboard_2064651578.py
@@ -64,7 +64,6 @@
                                 compute=FormulaAndFunctionEventQueryDefinitionCompute(
                                     aggregation=FormulaAndFunctionEventAggregation.COUNT,
                                 ),
-                                group_by=[],
                             ),
                         ],
                         response_format=FormulaAndFunctionResponseFormat.SCALAR,
diff --git a/examples/v1/dashboards/CreateDashboard_2490110261.py b/examples/v1/dashboards/CreateDashboard_2490110261.py
index 7a0ebfd245..282951688a 100644
--- a/examples/v1/dashboards/CreateDashboard_2490110261.py
+++ b/examples/v1/dashboards/CreateDashboard_2490110261.py
@@ -47,7 +47,6 @@
                                 indexes=[
                                     "*",
                                 ],
-                                group_by=[],
                             ),
                         ],
                     ),
diff --git a/examples/v1/dashboards/CreateDashboard_3882428227.py b/examples/v1/dashboards/CreateDashboard_3882428227.py
index 3c0a8c2d56..16789da22d 100644
--- a/examples/v1/dashboards/CreateDashboard_3882428227.py
+++ b/examples/v1/dashboards/CreateDashboard_3882428227.py
@@ -65,7 +65,6 @@
                             indexes=[
                                 "*",
                             ],
-                            group_by=[],
                         ),
                         request_type=WidgetHistogramRequestType.HISTOGRAM,
                     ),
diff --git a/examples/v1/dashboards/CreateDashboard_4018282928.py b/examples/v1/dashboards/CreateDashboard_4018282928.py
new file mode 100644
index 0000000000..27daf9de30
--- /dev/null
+++ b/examples/v1/dashboards/CreateDashboard_4018282928.py
@@ -0,0 +1,77 @@
+"""
+Create a new dashboard with formulas and functions events query using flat group by fields
+"""
+
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+from datadog_api_client.v1.model.dashboard import Dashboard
+from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
+from datadog_api_client.v1.model.formula_and_function_event_aggregation import FormulaAndFunctionEventAggregation
+from datadog_api_client.v1.model.formula_and_function_event_query_definition import (
+    FormulaAndFunctionEventQueryDefinition,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_definition_compute import (
+    FormulaAndFunctionEventQueryDefinitionCompute,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_definition_search import (
+    FormulaAndFunctionEventQueryDefinitionSearch,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_group_by_fields import (
+    FormulaAndFunctionEventQueryGroupByFields,
+)
+from datadog_api_client.v1.model.formula_and_function_events_data_source import FormulaAndFunctionEventsDataSource
+from datadog_api_client.v1.model.formula_and_function_response_format import FormulaAndFunctionResponseFormat
+from datadog_api_client.v1.model.timeseries_widget_definition import TimeseriesWidgetDefinition
+from datadog_api_client.v1.model.timeseries_widget_definition_type import TimeseriesWidgetDefinitionType
+from datadog_api_client.v1.model.timeseries_widget_request import TimeseriesWidgetRequest
+from datadog_api_client.v1.model.widget import Widget
+from datadog_api_client.v1.model.widget_layout import WidgetLayout
+
+body = Dashboard(
+    title="Example-Dashboard with events flat group_by fields",
+    widgets=[
+        Widget(
+            definition=TimeseriesWidgetDefinition(
+                type=TimeseriesWidgetDefinitionType.TIMESERIES,
+                requests=[
+                    TimeseriesWidgetRequest(
+                        response_format=FormulaAndFunctionResponseFormat.TIMESERIES,
+                        queries=[
+                            FormulaAndFunctionEventQueryDefinition(
+                                data_source=FormulaAndFunctionEventsDataSource.EVENTS,
+                                name="query1",
+                                search=FormulaAndFunctionEventQueryDefinitionSearch(
+                                    query="",
+                                ),
+                                compute=FormulaAndFunctionEventQueryDefinitionCompute(
+                                    aggregation=FormulaAndFunctionEventAggregation.COUNT,
+                                ),
+                                group_by=FormulaAndFunctionEventQueryGroupByFields(
+                                    fields=[
+                                        "service",
+                                        "host",
+                                    ],
+                                    limit=10,
+                                ),
+                            ),
+                        ],
+                    ),
+                ],
+            ),
+            layout=WidgetLayout(
+                x=0,
+                y=0,
+                width=4,
+                height=2,
+            ),
+        ),
+    ],
+    layout_type=DashboardLayoutType.ORDERED,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = DashboardsApi(api_client)
+    response = api_instance.create_dashboard(body=body)
+
+    print(response)
diff --git a/examples/v1/dashboards/CreateDashboard_578885732.py b/examples/v1/dashboards/CreateDashboard_578885732.py
index 3358249f25..d7e07feed2 100644
--- a/examples/v1/dashboards/CreateDashboard_578885732.py
+++ b/examples/v1/dashboards/CreateDashboard_578885732.py
@@ -64,7 +64,6 @@
                                 compute=FormulaAndFunctionEventQueryDefinitionCompute(
                                     aggregation=FormulaAndFunctionEventAggregation.COUNT,
                                 ),
-                                group_by=[],
                             ),
                         ],
                         response_format=FormulaAndFunctionResponseFormat.SCALAR,
diff --git a/examples/v1/dashboards/CreateDashboard_732700533.py b/examples/v1/dashboards/CreateDashboard_732700533.py
new file mode 100644
index 0000000000..3d4872bf04
--- /dev/null
+++ b/examples/v1/dashboards/CreateDashboard_732700533.py
@@ -0,0 +1,74 @@
+"""
+Create a new dashboard with formulas and functions events query using facet group by
+"""
+
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+from datadog_api_client.v1.model.dashboard import Dashboard
+from datadog_api_client.v1.model.dashboard_layout_type import DashboardLayoutType
+from datadog_api_client.v1.model.formula_and_function_event_aggregation import FormulaAndFunctionEventAggregation
+from datadog_api_client.v1.model.formula_and_function_event_query_definition import (
+    FormulaAndFunctionEventQueryDefinition,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_definition_compute import (
+    FormulaAndFunctionEventQueryDefinitionCompute,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_definition_search import (
+    FormulaAndFunctionEventQueryDefinitionSearch,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_group_by import FormulaAndFunctionEventQueryGroupBy
+from datadog_api_client.v1.model.formula_and_function_events_data_source import FormulaAndFunctionEventsDataSource
+from datadog_api_client.v1.model.formula_and_function_response_format import FormulaAndFunctionResponseFormat
+from datadog_api_client.v1.model.timeseries_widget_definition import TimeseriesWidgetDefinition
+from datadog_api_client.v1.model.timeseries_widget_definition_type import TimeseriesWidgetDefinitionType
+from datadog_api_client.v1.model.timeseries_widget_request import TimeseriesWidgetRequest
+from datadog_api_client.v1.model.widget import Widget
+from datadog_api_client.v1.model.widget_layout import WidgetLayout
+
+body = Dashboard(
+    title="Example-Dashboard with events facet group_by",
+    widgets=[
+        Widget(
+            definition=TimeseriesWidgetDefinition(
+                type=TimeseriesWidgetDefinitionType.TIMESERIES,
+                requests=[
+                    TimeseriesWidgetRequest(
+                        response_format=FormulaAndFunctionResponseFormat.TIMESERIES,
+                        queries=[
+                            FormulaAndFunctionEventQueryDefinition(
+                                data_source=FormulaAndFunctionEventsDataSource.EVENTS,
+                                name="query1",
+                                search=FormulaAndFunctionEventQueryDefinitionSearch(
+                                    query="",
+                                ),
+                                compute=FormulaAndFunctionEventQueryDefinitionCompute(
+                                    aggregation=FormulaAndFunctionEventAggregation.COUNT,
+                                ),
+                                group_by=[
+                                    FormulaAndFunctionEventQueryGroupBy(
+                                        facet="service",
+                                        limit=10,
+                                    ),
+                                ],
+                            ),
+                        ],
+                    ),
+                ],
+            ),
+            layout=WidgetLayout(
+                x=0,
+                y=0,
+                width=4,
+                height=2,
+            ),
+        ),
+    ],
+    layout_type=DashboardLayoutType.ORDERED,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = DashboardsApi(api_client)
+    response = api_instance.create_dashboard(body=body)
+
+    print(response)
diff --git a/src/datadog_api_client/v1/model/distribution_widget_histogram_request_query.py b/src/datadog_api_client/v1/model/distribution_widget_histogram_request_query.py
index 17a6620a43..3acdb1c6cf 100644
--- a/src/datadog_api_client/v1/model/distribution_widget_histogram_request_query.py
+++ b/src/datadog_api_client/v1/model/distribution_widget_histogram_request_query.py
@@ -36,8 +36,8 @@ def __init__(self, **kwargs):
         :param compute: Compute options.
         :type compute: FormulaAndFunctionEventQueryDefinitionCompute
 
-        :param group_by: Group by options.
-        :type group_by: [FormulaAndFunctionEventQueryGroupBy], optional
+        :param group_by: Group by configuration for a formula and functions events query. Can be a list of facet objects or a flat object with a list of fields.
+        :type group_by: FormulaAndFunctionEventQueryGroupByConfig, optional
 
         :param indexes: An array of index names to query in the stream. Omit or use `[]` to query all indexes at once.
         :type indexes: [str], optional
diff --git a/src/datadog_api_client/v1/model/formula_and_function_event_query_definition.py b/src/datadog_api_client/v1/model/formula_and_function_event_query_definition.py
index ab56c422a8..2afad0d5b7 100644
--- a/src/datadog_api_client/v1/model/formula_and_function_event_query_definition.py
+++ b/src/datadog_api_client/v1/model/formula_and_function_event_query_definition.py
@@ -18,12 +18,18 @@
         FormulaAndFunctionEventQueryDefinitionCompute,
     )
     from datadog_api_client.v1.model.formula_and_function_events_data_source import FormulaAndFunctionEventsDataSource
-    from datadog_api_client.v1.model.formula_and_function_event_query_group_by import (
-        FormulaAndFunctionEventQueryGroupBy,
+    from datadog_api_client.v1.model.formula_and_function_event_query_group_by_config import (
+        FormulaAndFunctionEventQueryGroupByConfig,
     )
     from datadog_api_client.v1.model.formula_and_function_event_query_definition_search import (
         FormulaAndFunctionEventQueryDefinitionSearch,
     )
+    from datadog_api_client.v1.model.formula_and_function_event_query_group_by import (
+        FormulaAndFunctionEventQueryGroupBy,
+    )
+    from datadog_api_client.v1.model.formula_and_function_event_query_group_by_fields import (
+        FormulaAndFunctionEventQueryGroupByFields,
+    )
 
 
 class FormulaAndFunctionEventQueryDefinition(ModelNormal):
@@ -41,8 +47,8 @@ def openapi_types(_):
         from datadog_api_client.v1.model.formula_and_function_events_data_source import (
             FormulaAndFunctionEventsDataSource,
         )
-        from datadog_api_client.v1.model.formula_and_function_event_query_group_by import (
-            FormulaAndFunctionEventQueryGroupBy,
+        from datadog_api_client.v1.model.formula_and_function_event_query_group_by_config import (
+            FormulaAndFunctionEventQueryGroupByConfig,
         )
         from datadog_api_client.v1.model.formula_and_function_event_query_definition_search import (
             FormulaAndFunctionEventQueryDefinitionSearch,
@@ -52,7 +58,7 @@ def openapi_types(_):
             "compute": (FormulaAndFunctionEventQueryDefinitionCompute,),
             "cross_org_uuids": ([str],),
             "data_source": (FormulaAndFunctionEventsDataSource,),
-            "group_by": ([FormulaAndFunctionEventQueryGroupBy],),
+            "group_by": (FormulaAndFunctionEventQueryGroupByConfig,),
             "indexes": ([str],),
             "name": (str,),
             "search": (FormulaAndFunctionEventQueryDefinitionSearch,),
@@ -76,7 +82,12 @@ def __init__(
         data_source: FormulaAndFunctionEventsDataSource,
         name: str,
         cross_org_uuids: Union[List[str], UnsetType] = unset,
-        group_by: Union[List[FormulaAndFunctionEventQueryGroupBy], UnsetType] = unset,
+        group_by: Union[
+            FormulaAndFunctionEventQueryGroupByConfig,
+            List[FormulaAndFunctionEventQueryGroupBy],
+            FormulaAndFunctionEventQueryGroupByFields,
+            UnsetType,
+        ] = unset,
         indexes: Union[List[str], UnsetType] = unset,
         search: Union[FormulaAndFunctionEventQueryDefinitionSearch, UnsetType] = unset,
         storage: Union[str, UnsetType] = unset,
@@ -94,8 +105,8 @@ def __init__(
         :param data_source: Data source for event platform-based queries.
         :type data_source: FormulaAndFunctionEventsDataSource
 
-        :param group_by: Group by options.
-        :type group_by: [FormulaAndFunctionEventQueryGroupBy], optional
+        :param group_by: Group by configuration for a formula and functions events query. Can be a list of facet objects or a flat object with a list of fields.
+        :type group_by: FormulaAndFunctionEventQueryGroupByConfig, optional
 
         :param indexes: An array of index names to query in the stream. Omit or use ``[]`` to query all indexes at once.
         :type indexes: [str], optional
diff --git a/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_config.py b/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_config.py
new file mode 100644
index 0000000000..0e0b3bbd70
--- /dev/null
+++ b/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_config.py
@@ -0,0 +1,50 @@
+# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
+# This product includes software developed at Datadog (https://www.datadoghq.com/).
+# Copyright 2019-Present Datadog, Inc.
+from __future__ import annotations
+
+
+from datadog_api_client.model_utils import (
+    ModelComposed,
+    cached_property,
+)
+
+
+class FormulaAndFunctionEventQueryGroupByConfig(ModelComposed):
+    def __init__(self, **kwargs):
+        """
+        Group by configuration for a formula and functions events query. Can be a list of facet objects or a flat object with a list of fields.
+
+        :param fields: List of event facets to group by.
+        :type fields: [str]
+
+        :param limit: Number of groups to return.
+        :type limit: int, optional
+
+        :param sort: Options for sorting group by results.
+        :type sort: FormulaAndFunctionEventQueryGroupBySort, optional
+        """
+        super().__init__(kwargs)
+
+    @cached_property
+    def _composed_schemas(_):
+        # we need this here to make our import statements work
+        # we must store _composed_schemas in here so the code is only run
+        # when we invoke this method. If we kept this at the class
+        # level we would get an error because the class level
+        # code would be run when this module is imported, and these composed
+        # classes don't exist yet because their module has not finished
+        # loading
+        from datadog_api_client.v1.model.formula_and_function_event_query_group_by import (
+            FormulaAndFunctionEventQueryGroupBy,
+        )
+        from datadog_api_client.v1.model.formula_and_function_event_query_group_by_fields import (
+            FormulaAndFunctionEventQueryGroupByFields,
+        )
+
+        return {
+            "oneOf": [
+                [FormulaAndFunctionEventQueryGroupBy],
+                FormulaAndFunctionEventQueryGroupByFields,
+            ],
+        }
diff --git a/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_fields.py b/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_fields.py
new file mode 100644
index 0000000000..a603e636d4
--- /dev/null
+++ b/src/datadog_api_client/v1/model/formula_and_function_event_query_group_by_fields.py
@@ -0,0 +1,66 @@
+# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
+# This product includes software developed at Datadog (https://www.datadoghq.com/).
+# Copyright 2019-Present Datadog, Inc.
+from __future__ import annotations
+
+from typing import List, Union, TYPE_CHECKING
+
+from datadog_api_client.model_utils import (
+    ModelNormal,
+    cached_property,
+    unset,
+    UnsetType,
+)
+
+
+if TYPE_CHECKING:
+    from datadog_api_client.v1.model.formula_and_function_event_query_group_by_sort import (
+        FormulaAndFunctionEventQueryGroupBySort,
+    )
+
+
+class FormulaAndFunctionEventQueryGroupByFields(ModelNormal):
+    @cached_property
+    def openapi_types(_):
+        from datadog_api_client.v1.model.formula_and_function_event_query_group_by_sort import (
+            FormulaAndFunctionEventQueryGroupBySort,
+        )
+
+        return {
+            "fields": ([str],),
+            "limit": (int,),
+            "sort": (FormulaAndFunctionEventQueryGroupBySort,),
+        }
+
+    attribute_map = {
+        "fields": "fields",
+        "limit": "limit",
+        "sort": "sort",
+    }
+
+    def __init__(
+        self_,
+        fields: List[str],
+        limit: Union[int, UnsetType] = unset,
+        sort: Union[FormulaAndFunctionEventQueryGroupBySort, UnsetType] = unset,
+        **kwargs,
+    ):
+        """
+        Flat group by using multiple event facets.
+
+        :param fields: List of event facets to group by.
+        :type fields: [str]
+
+        :param limit: Number of groups to return.
+        :type limit: int, optional
+
+        :param sort: Options for sorting group by results.
+        :type sort: FormulaAndFunctionEventQueryGroupBySort, optional
+        """
+        if limit is not unset:
+            kwargs["limit"] = limit
+        if sort is not unset:
+            kwargs["sort"] = sort
+        super().__init__(kwargs)
+
+        self_.fields = fields
diff --git a/src/datadog_api_client/v1/model/formula_and_function_query_definition.py b/src/datadog_api_client/v1/model/formula_and_function_query_definition.py
index a8228cc0dc..10a217711f 100644
--- a/src/datadog_api_client/v1/model/formula_and_function_query_definition.py
+++ b/src/datadog_api_client/v1/model/formula_and_function_query_definition.py
@@ -36,8 +36,8 @@ def __init__(self, **kwargs):
         :param compute: Compute options.
         :type compute: FormulaAndFunctionEventQueryDefinitionCompute
 
-        :param group_by: Group by options.
-        :type group_by: [FormulaAndFunctionEventQueryGroupBy], optional
+        :param group_by: Group by configuration for a formula and functions events query. Can be a list of facet objects or a flat object with a list of fields.
+        :type group_by: FormulaAndFunctionEventQueryGroupByConfig, optional
 
         :param indexes: An array of index names to query in the stream. Omit or use `[]` to query all indexes at once.
         :type indexes: [str], optional
diff --git a/src/datadog_api_client/v1/models/__init__.py b/src/datadog_api_client/v1/models/__init__.py
index 1710446bfc..e9cf8028ab 100644
--- a/src/datadog_api_client/v1/models/__init__.py
+++ b/src/datadog_api_client/v1/models/__init__.py
@@ -154,6 +154,12 @@
     FormulaAndFunctionEventQueryDefinitionSearch,
 )
 from datadog_api_client.v1.model.formula_and_function_event_query_group_by import FormulaAndFunctionEventQueryGroupBy
+from datadog_api_client.v1.model.formula_and_function_event_query_group_by_config import (
+    FormulaAndFunctionEventQueryGroupByConfig,
+)
+from datadog_api_client.v1.model.formula_and_function_event_query_group_by_fields import (
+    FormulaAndFunctionEventQueryGroupByFields,
+)
 from datadog_api_client.v1.model.formula_and_function_event_query_group_by_sort import (
     FormulaAndFunctionEventQueryGroupBySort,
 )
@@ -1283,6 +1289,8 @@
     "FormulaAndFunctionEventQueryDefinitionCompute",
     "FormulaAndFunctionEventQueryDefinitionSearch",
     "FormulaAndFunctionEventQueryGroupBy",
+    "FormulaAndFunctionEventQueryGroupByConfig",
+    "FormulaAndFunctionEventQueryGroupByFields",
     "FormulaAndFunctionEventQueryGroupBySort",
     "FormulaAndFunctionEventsDataSource",
     "FormulaAndFunctionMetricAggregation",
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.frozen
index c35a420f43..0d11db9caa 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.frozen
@@ -1 +1 @@
-2024-11-15T19:32:27.384Z
\ No newline at end of file
+2026-02-20T20:18:17.986Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.yaml
index 52aa28d533..84152f3b40 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_query.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"description":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1731699147","layout_type":"ordered","title":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1731699147","widgets":[{"definition":{"requests":[{"query":{"compute":{"aggregation":"min","metric":"@duration"},"data_source":"events","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}},"request_type":"histogram"}],"show_legend":false,"title":"Events
+    body: '{"description":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1771618697","layout_type":"ordered","title":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1771618697","widgets":[{"definition":{"requests":[{"query":{"compute":{"aggregation":"min","metric":"@duration"},"data_source":"events","indexes":["*"],"name":"query1","search":{"query":""}},"request_type":"histogram"}],"show_legend":false,"title":"Events
       Platform - Request latency HOP","title_align":"left","title_size":"16","type":"distribution","xaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"},"yaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"}},"layout":{"height":2,"width":4,"x":0,"y":0}}]}'
     headers:
       accept:
@@ -11,10 +11,8 @@ interactions:
     uri: https://api.datadoghq.com/api/v1/dashboard
   response:
     body:
-      string: '{"id":"p6k-cxc-g8m","title":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1731699147","description":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1731699147","author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/p6k-cxc-g8m/test-createadistributionwidgetusingahistogramrequestcontainingaformulasandfuncti","is_read_only":false,"template_variables":null,"widgets":[{"definition":{"requests":[{"query":{"compute":{"aggregation":"min","metric":"@duration"},"data_source":"events","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}},"request_type":"histogram"}],"show_legend":false,"title":"Events
-        Platform - Request latency HOP","title_align":"left","title_size":"16","type":"distribution","xaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"},"yaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"}},"layout":{"height":2,"width":4,"x":0,"y":0},"id":8624507873468872}],"notify_list":null,"created_at":"2024-11-15T19:32:27.570354+00:00","modified_at":"2024-11-15T19:32:27.570354+00:00","restricted_roles":[]}
-
-        '
+      string: '{"id":"eej-xeq-pgm","title":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1771618697","description":"Test-Create_a_distribution_widget_using_a_histogram_request_containing_a_formulas_and_functions_events_qu-1771618697","author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/eej-xeq-pgm/test-createadistributionwidgetusingahistogramrequestcontainingaformulasandfuncti","template_variables":null,"widgets":[{"definition":{"requests":[{"query":{"compute":{"aggregation":"min","metric":"@duration"},"data_source":"events","indexes":["*"],"name":"query1","search":{"query":""}},"request_type":"histogram"}],"show_legend":false,"title":"Events
+        Platform - Request latency HOP","title_align":"left","title_size":"16","type":"distribution","xaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"},"yaxis":{"include_zero":true,"max":"auto","min":"auto","scale":"linear"}},"layout":{"height":2,"width":4,"x":0,"y":0},"id":1352561672261497}],"notify_list":null,"created_at":"2026-02-20T20:18:18.338500+00:00","modified_at":"2026-02-20T20:18:18.338500+00:00","restricted_roles":[]}'
     headers:
       content-type:
       - application/json
@@ -27,12 +25,10 @@ interactions:
       accept:
       - application/json
     method: DELETE
-    uri: https://api.datadoghq.com/api/v1/dashboard/p6k-cxc-g8m
+    uri: https://api.datadoghq.com/api/v1/dashboard/eej-xeq-pgm
   response:
     body:
-      string: '{"deleted_dashboard_id":"p6k-cxc-g8m"}
-
-        '
+      string: '{"deleted_dashboard_id":"eej-xeq-pgm"}'
     headers:
       content-type:
       - application/json
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.frozen
index 15ab4cd26e..f7b6f6e2e0 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.frozen
@@ -1 +1 @@
-2024-11-15T19:32:30.413Z
\ No newline at end of file
+2026-02-20T20:18:52.065Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.yaml
index 27e956d21c..9f2d95b4e9 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_change_widget.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_change_widget-1731699150","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
+    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_change_widget-1771618732","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
     headers:
       accept:
       - application/json
@@ -10,9 +10,7 @@ interactions:
     uri: https://api.datadoghq.com/api/v1/dashboard
   response:
     body:
-      string: '{"id":"pwu-pqa-fin","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_change_widget-1731699150","description":null,"author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/pwu-pqa-fin/test-createanewdashboardwithaformulasandfunctionschangewidget-1731699150","is_read_only":false,"template_variables":null,"widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":4495141746383449}],"notify_list":null,"created_at":"2024-11-15T19:32:30.566816+00:00","modified_at":"2024-11-15T19:32:30.566816+00:00","restricted_roles":[]}
-
-        '
+      string: '{"id":"g3s-8ap-8bk","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_change_widget-1771618732","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/g3s-8ap-8bk/test-createanewdashboardwithaformulasandfunctionschangewidget-1771618732","template_variables":null,"widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":2055922494151922}],"notify_list":null,"created_at":"2026-02-20T20:18:52.216652+00:00","modified_at":"2026-02-20T20:18:52.216652+00:00","restricted_roles":[]}'
     headers:
       content-type:
       - application/json
@@ -25,12 +23,10 @@ interactions:
       accept:
       - application/json
     method: DELETE
-    uri: https://api.datadoghq.com/api/v1/dashboard/pwu-pqa-fin
+    uri: https://api.datadoghq.com/api/v1/dashboard/g3s-8ap-8bk
   response:
     body:
-      string: '{"deleted_dashboard_id":"pwu-pqa-fin"}
-
-        '
+      string: '{"deleted_dashboard_id":"g3s-8ap-8bk"}'
     headers:
       content-type:
       - application/json
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.frozen
index 2186983177..c5933fb246 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.frozen
@@ -1 +1 @@
-2024-11-15T19:32:30.862Z
\ No newline at end of file
+2026-02-20T20:19:05.857Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.yaml
index 00f2091277..9a2bca03fa 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget-1731699150","widgets":[{"definition":{"requests":[{"formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"title":"","type":"treemap"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
+    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget-1771618745","widgets":[{"definition":{"requests":[{"formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"title":"","type":"treemap"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
     headers:
       accept:
       - application/json
@@ -10,9 +10,7 @@ interactions:
     uri: https://api.datadoghq.com/api/v1/dashboard
   response:
     body:
-      string: '{"id":"sa5-czr-uat","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget-1731699150","description":null,"author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/sa5-czr-uat/test-createanewdashboardwithaformulasandfunctionstreemapwidget-1731699150","is_read_only":false,"template_variables":null,"widgets":[{"definition":{"requests":[{"formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"title":"","type":"treemap"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":2892895408255139}],"notify_list":null,"created_at":"2024-11-15T19:32:31.032272+00:00","modified_at":"2024-11-15T19:32:31.032272+00:00","restricted_roles":[]}
-
-        '
+      string: '{"id":"njk-kz4-p8c","title":"Test-Create_a_new_dashboard_with_a_formulas_and_functions_treemap_widget-1771618745","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/njk-kz4-p8c/test-createanewdashboardwithaformulasandfunctionstreemapwidget-1771618745","template_variables":null,"widgets":[{"definition":{"requests":[{"formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"title":"","type":"treemap"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":2582394402168111}],"notify_list":null,"created_at":"2026-02-20T20:19:06.014225+00:00","modified_at":"2026-02-20T20:19:06.014225+00:00","restricted_roles":[]}'
     headers:
       content-type:
       - application/json
@@ -25,12 +23,10 @@ interactions:
       accept:
       - application/json
     method: DELETE
-    uri: https://api.datadoghq.com/api/v1/dashboard/sa5-czr-uat
+    uri: https://api.datadoghq.com/api/v1/dashboard/njk-kz4-p8c
   response:
     body:
-      string: '{"deleted_dashboard_id":"sa5-czr-uat"}
-
-        '
+      string: '{"deleted_dashboard_id":"njk-kz4-p8c"}'
     headers:
       content-type:
       - application/json
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.frozen
index f17762337a..169baa748a 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.frozen
@@ -1 +1 @@
-2024-11-15T19:32:36.010Z
\ No newline at end of file
+2026-02-20T20:19:21.239Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.yaml
index 43108cd020..1e27b67b0d 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_an_audit_logs_query.yaml
@@ -1,7 +1,7 @@
 interactions:
 - request:
-    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_an_audit_logs_query-1731699156
-      with Audit Logs Query","widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"audit","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":2,"y":0}}]}'
+    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_an_audit_logs_query-1771618761
+      with Audit Logs Query","widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"audit","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":2,"y":0}}]}'
     headers:
       accept:
       - application/json
@@ -11,10 +11,8 @@ interactions:
     uri: https://api.datadoghq.com/api/v1/dashboard
   response:
     body:
-      string: '{"id":"gu5-cq8-akb","title":"Test-Create_a_new_dashboard_with_an_audit_logs_query-1731699156
-        with Audit Logs Query","description":null,"author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/gu5-cq8-akb/test-createanewdashboardwithanauditlogsquery-1731699156-with-audit-logs-query","is_read_only":false,"template_variables":null,"widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"audit","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":2,"y":0},"id":1074067237256022}],"notify_list":null,"created_at":"2024-11-15T19:32:36.200033+00:00","modified_at":"2024-11-15T19:32:36.200033+00:00","restricted_roles":[]}
-
-        '
+      string: '{"id":"yid-eiq-hpr","title":"Test-Create_a_new_dashboard_with_an_audit_logs_query-1771618761
+        with Audit Logs Query","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/yid-eiq-hpr/test-createanewdashboardwithanauditlogsquery-1771618761-with-audit-logs-query","template_variables":null,"widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"audit","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":2,"y":0},"id":296735922843810}],"notify_list":null,"created_at":"2026-02-20T20:19:21.362795+00:00","modified_at":"2026-02-20T20:19:21.362795+00:00","restricted_roles":[]}'
     headers:
       content-type:
       - application/json
@@ -27,12 +25,10 @@ interactions:
       accept:
       - application/json
     method: DELETE
-    uri: https://api.datadoghq.com/api/v1/dashboard/gu5-cq8-akb
+    uri: https://api.datadoghq.com/api/v1/dashboard/yid-eiq-hpr
   response:
     body:
-      string: '{"deleted_dashboard_id":"gu5-cq8-akb"}
-
-        '
+      string: '{"deleted_dashboard_id":"yid-eiq-hpr"}'
     headers:
       content-type:
       - application/json
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.frozen
new file mode 100644
index 0000000000..db9deacddd
--- /dev/null
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.frozen
@@ -0,0 +1 @@
+2026-02-20T18:30:56.541Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.yaml
new file mode 100644
index 0000000000..20c296b384
--- /dev/null
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by.yaml
@@ -0,0 +1,38 @@
+interactions:
+- request:
+    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by-1771612256
+      with events facet group_by","widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"events","group_by":[{"facet":"service","limit":10}],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":0,"y":0}}]}'
+    headers:
+      accept:
+      - application/json
+      content-type:
+      - application/json
+    method: POST
+    uri: https://api.datadoghq.com/api/v1/dashboard
+  response:
+    body:
+      string: '{"id":"cuw-94b-6q6","title":"Test-Create_a_new_dashboard_with_formulas_and_functions_events_query_using_facet_group_by-1771612256
+        with events facet group_by","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/cuw-94b-6q6/test-createanewdashboardwithformulasandfunctionseventsqueryusingfacetgroupby-177","template_variables":null,"widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"events","group_by":[{"facet":"service","limit":10}],"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":0,"y":0},"id":5025516440057016}],"notify_list":null,"created_at":"2026-02-20T18:30:56.681735+00:00","modified_at":"2026-02-20T18:30:56.681735+00:00","restricted_roles":[]}'
+    headers:
+      content-type:
+      - application/json
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      accept:
+      - application/json
+    method: DELETE
+    uri: https://api.datadoghq.com/api/v1/dashboard/cuw-94b-6q6
+  response:
+    body:
+      string: '{"deleted_dashboard_id":"cuw-94b-6q6"}'
+    headers:
+      content-type:
+      - application/json
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.frozen
new file mode 100644
index 0000000000..5c19a59aa1
--- /dev/null
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.frozen
@@ -0,0 +1 @@
+2026-02-20T18:31:11.583Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.yaml
new file mode 100644
index 0000000000..0df971586d
--- /dev/null
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields.yaml
@@ -0,0 +1,38 @@
+interactions:
+- request:
+    body: '{"layout_type":"ordered","title":"Test-Create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields-1771612271
+      with events flat group_by fields","widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"events","group_by":{"fields":["service","host"],"limit":10},"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":0,"y":0}}]}'
+    headers:
+      accept:
+      - application/json
+      content-type:
+      - application/json
+    method: POST
+    uri: https://api.datadoghq.com/api/v1/dashboard
+  response:
+    body:
+      string: '{"id":"55h-xu8-bf3","title":"Test-Create_a_new_dashboard_with_formulas_and_functions_events_query_using_flat_group_by_fields-1771612271
+        with events flat group_by fields","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/55h-xu8-bf3/test-createanewdashboardwithformulasandfunctionseventsqueryusingflatgroupbyfield","template_variables":null,"widgets":[{"definition":{"requests":[{"queries":[{"compute":{"aggregation":"count"},"data_source":"events","group_by":{"fields":["service","host"],"limit":10},"name":"query1","search":{"query":""}}],"response_format":"timeseries"}],"type":"timeseries"},"layout":{"height":2,"width":4,"x":0,"y":0},"id":5327054421054936}],"notify_list":null,"created_at":"2026-02-20T18:31:11.718905+00:00","modified_at":"2026-02-20T18:31:11.718905+00:00","restricted_roles":[]}'
+    headers:
+      content-type:
+      - application/json
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      accept:
+      - application/json
+    method: DELETE
+    uri: https://api.datadoghq.com/api/v1/dashboard/55h-xu8-bf3
+  response:
+    body:
+      string: '{"deleted_dashboard_id":"55h-xu8-bf3"}'
+    headers:
+      content-type:
+      - application/json
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.frozen
index 6a7b25ee77..85d85e17d8 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.frozen
@@ -1 +1 @@
-2024-11-15T19:32:44.075Z
\ No newline at end of file
+2026-02-20T20:19:34.503Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.yaml
index b877255587..75d2330297 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_invalid_team_tags_returns_bad_request_response.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"layout_type":"ordered","tags":["tm:foobar"],"title":"Test-Create_a_new_dashboard_with_invalid_team_tags_returns_Bad_Request_response-1731699164","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
+    body: '{"layout_type":"ordered","tags":["tm:foobar"],"title":"Test-Create_a_new_dashboard_with_invalid_team_tags_returns_Bad_Request_response-1771618774","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
     headers:
       accept:
       - application/json
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.frozen b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.frozen
index a85903d2bb..2ae382bcb1 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.frozen
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.frozen
@@ -1 +1 @@
-2024-11-15T19:32:57.038Z
\ No newline at end of file
+2026-02-20T20:19:48.408Z
\ No newline at end of file
diff --git a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.yaml b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.yaml
index 5bb030b9e7..5b71789d7a 100644
--- a/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.yaml
+++ b/tests/v1/cassettes/test_scenarios/test_create_a_new_dashboard_with_team_tags_returns_ok_response.yaml
@@ -1,6 +1,6 @@
 interactions:
 - request:
-    body: '{"layout_type":"ordered","tags":["team:foobar"],"title":"Test-Create_a_new_dashboard_with_team_tags_returns_OK_response-1731699177","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
+    body: '{"layout_type":"ordered","tags":["team:foobar"],"title":"Test-Create_a_new_dashboard_with_team_tags_returns_OK_response-1771618788","widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0}}]}'
     headers:
       accept:
       - application/json
@@ -10,9 +10,7 @@ interactions:
     uri: https://api.datadoghq.com/api/v1/dashboard
   response:
     body:
-      string: '{"id":"zb6-66m-ntf","title":"Test-Create_a_new_dashboard_with_team_tags_returns_OK_response-1731699177","description":null,"author_handle":"frog@datadoghq.com","author_name":null,"layout_type":"ordered","url":"/dashboard/zb6-66m-ntf/test-createanewdashboardwithteamtagsreturnsokresponse-1731699177","is_read_only":false,"template_variables":null,"widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","group_by":[],"indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":5234430955769094}],"notify_list":null,"created_at":"2024-11-15T19:32:57.190291+00:00","modified_at":"2024-11-15T19:32:57.190291+00:00","tags":["team:foobar"],"restricted_roles":[]}
-
-        '
+      string: '{"id":"tfh-8hh-gha","title":"Test-Create_a_new_dashboard_with_team_tags_returns_OK_response-1771618788","description":null,"author_handle":"frog@datadoghq.com","author_name":"frog","layout_type":"ordered","url":"/dashboard/tfh-8hh-gha/test-createanewdashboardwithteamtagsreturnsokresponse-1771618788","template_variables":null,"widgets":[{"definition":{"requests":[{"change_type":"absolute","compare_to":"hour_before","formulas":[{"formula":"hour_before(query1)"},{"formula":"query1"}],"increase_good":true,"order_by":"change","order_dir":"desc","queries":[{"compute":{"aggregation":"count"},"data_source":"logs","indexes":["*"],"name":"query1","search":{"query":""}}],"response_format":"scalar"}],"time":{},"title":"","title_align":"left","title_size":"16","type":"change"},"layout":{"height":4,"width":4,"x":0,"y":0},"id":5768564568855112}],"notify_list":null,"created_at":"2026-02-20T20:19:48.549863+00:00","modified_at":"2026-02-20T20:19:48.549863+00:00","tags":["team:foobar"],"restricted_roles":[]}'
     headers:
       content-type:
       - application/json
@@ -25,12 +23,10 @@ interactions:
       accept:
       - application/json
     method: DELETE
-    uri: https://api.datadoghq.com/api/v1/dashboard/zb6-66m-ntf
+    uri: https://api.datadoghq.com/api/v1/dashboard/tfh-8hh-gha
   response:
     body:
-      string: '{"deleted_dashboard_id":"zb6-66m-ntf"}
-
-        '
+      string: '{"deleted_dashboard_id":"tfh-8hh-gha"}'
     headers:
       content-type:
       - application/json
diff --git a/tests/v1/features/dashboards.feature b/tests/v1/features/dashboards.feature
index 349f7de6f9..fffbf4a78e 100644
--- a/tests/v1/features/dashboards.feature
+++ b/tests/v1/features/dashboards.feature
@@ -38,7 +38,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a distribution widget using a histogram request containing a formulas and functions events query
     Given new "CreateDashboard" request
-    And body with value { "title": "{{ unique }}", "description": "{{ unique }}", "widgets": [ { "definition": { "title": "Events Platform - Request latency HOP", "title_size": "16", "title_align": "left", "show_legend": false, "type": "distribution", "xaxis": { "max": "auto", "include_zero": true, "scale": "linear", "min": "auto" }, "yaxis": { "max": "auto", "include_zero": true, "scale": "linear", "min": "auto" }, "requests": [ { "query": { "search": { "query": "" }, "data_source": "events", "compute": { "metric": "@duration", "aggregation": "min" }, "name": "query1", "indexes": [ "*" ], "group_by": [] }, "request_type": "histogram" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 2 } } ], "layout_type": "ordered" }
+    And body with value { "title": "{{ unique }}", "description": "{{ unique }}", "widgets": [ { "definition": { "title": "Events Platform - Request latency HOP", "title_size": "16", "title_align": "left", "show_legend": false, "type": "distribution", "xaxis": { "max": "auto", "include_zero": true, "scale": "linear", "min": "auto" }, "yaxis": { "max": "auto", "include_zero": true, "scale": "linear", "min": "auto" }, "requests": [ { "query": { "search": { "query": "" }, "data_source": "events", "compute": { "metric": "@duration", "aggregation": "min" }, "name": "query1", "indexes": [ "*" ] }, "request_type": "histogram" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 2 } } ], "layout_type": "ordered" }
     When the request is sent
     Then the response status is 200 OK
     And the response "widgets[0].definition.requests[0].request_type" is equal to "histogram"
@@ -48,7 +48,6 @@ Feature: Dashboards
     And the response "widgets[0].definition.requests[0].query.compute.aggregation" is equal to "min"
     And the response "widgets[0].definition.requests[0].query.name" is equal to "query1"
     And the response "widgets[0].definition.requests[0].query.indexes" is equal to ["*"]
-    And the response "widgets[0].definition.requests[0].query.group_by" is equal to []
 
   @team:DataDog/dashboards-backend
   Scenario: Create a distribution widget using a histogram request containing a formulas and functions metrics query
@@ -144,7 +143,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with a formulas and functions change widget
     Given new "CreateDashboard" request
-    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" }, "group_by": [] } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "layout_type": "ordered" }
+    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" } } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "layout_type": "ordered" }
     When the request is sent
     Then the response status is 200 OK
     And the response "widgets[0].definition.requests[0].response_format" is equal to "scalar"
@@ -162,7 +161,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with a formulas and functions treemap widget
     Given new "CreateDashboard" request
-    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "type": "treemap", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" }, "group_by": [] } ], "response_format": "scalar" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "layout_type": "ordered" }
+    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "type": "treemap", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" } } ], "response_format": "scalar" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "layout_type": "ordered" }
     When the request is sent
     Then the response status is 200 OK
     And the response "widgets[0].definition.requests[0].response_format" is equal to "scalar"
@@ -296,7 +295,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with an audit logs query
     Given new "CreateDashboard" request
-    And body with value {"layout_type": "ordered", "title": "{{ unique }} with Audit Logs Query", "widgets": [{"definition": {"type": "timeseries","requests": [{"response_format": "timeseries","queries": [{"search": {"query": ""},"data_source": "audit","compute": {"aggregation": "count"},"name": "query1","indexes": ["*"],"group_by": []}]}]},"layout": {"x": 2,"y": 0,"width": 4,"height": 2}}]}
+    And body with value {"layout_type": "ordered", "title": "{{ unique }} with Audit Logs Query", "widgets": [{"definition": {"type": "timeseries","requests": [{"response_format": "timeseries","queries": [{"search": {"query": ""},"data_source": "audit","compute": {"aggregation": "count"},"name": "query1","indexes": ["*"]}]}]},"layout": {"x": 2,"y": 0,"width": 4,"height": 2}}]}
     When the request is sent
     Then the response status is 200 OK
     And the response "title" is equal to "{{ unique }} with Audit Logs Query"
@@ -466,6 +465,27 @@ Feature: Dashboards
     And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "metrics"
     And the response "widgets[0].definition.requests[0].style.palette" is equal to "dog_classic"
 
+  @team:DataDog/dashboards-backend
+  Scenario: Create a new dashboard with formulas and functions events query using facet group by
+    Given new "CreateDashboard" request
+    And body with value {"title": "{{ unique }} with events facet group_by", "widgets": [{"definition": {"type": "timeseries", "requests": [{"response_format": "timeseries", "queries": [{"data_source": "events", "name": "query1", "search": {"query": ""}, "compute": {"aggregation": "count"}, "group_by": [{"facet": "service", "limit": 10}]}]}]}, "layout": {"x": 0, "y": 0, "width": 4, "height": 2}}], "layout_type": "ordered"}
+    When the request is sent
+    Then the response status is 200 OK
+    And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "events"
+    And the response "widgets[0].definition.requests[0].queries[0].group_by[0].facet" is equal to "service"
+    And the response "widgets[0].definition.requests[0].queries[0].group_by[0].limit" is equal to 10
+
+  @team:DataDog/dashboards-backend
+  Scenario: Create a new dashboard with formulas and functions events query using flat group by fields
+    Given new "CreateDashboard" request
+    And body with value {"title": "{{ unique }} with events flat group_by fields", "widgets": [{"definition": {"type": "timeseries", "requests": [{"response_format": "timeseries", "queries": [{"data_source": "events", "name": "query1", "search": {"query": ""}, "compute": {"aggregation": "count"}, "group_by": {"fields": ["service", "host"], "limit": 10}}]}]}, "layout": {"x": 0, "y": 0, "width": 4, "height": 2}}], "layout_type": "ordered"}
+    When the request is sent
+    Then the response status is 200 OK
+    And the response "widgets[0].definition.requests[0].queries[0].data_source" is equal to "events"
+    And the response "widgets[0].definition.requests[0].queries[0].group_by.fields[0]" is equal to "service"
+    And the response "widgets[0].definition.requests[0].queries[0].group_by.fields[1]" is equal to "host"
+    And the response "widgets[0].definition.requests[0].queries[0].group_by.limit" is equal to 10
+
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with formulas and functions scatterplot widget
     Given new "CreateDashboard" request
@@ -568,7 +588,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with invalid team tags returns "Bad Request" response
     Given new "CreateDashboard" request
-    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" }, "group_by": [] } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "tags": ["tm:foobar"], "layout_type": "ordered" }
+    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" } } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "tags": ["tm:foobar"], "layout_type": "ordered" }
     When the request is sent
     Then the response status is 400 Bad Request
 
@@ -867,7 +887,7 @@ Feature: Dashboards
   @team:DataDog/dashboards-backend
   Scenario: Create a new dashboard with team tags returns "OK" response
     Given new "CreateDashboard" request
-    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" }, "group_by": [] } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "tags": ["team:foobar"], "layout_type": "ordered" }
+    And body with value { "title": "{{ unique }}", "widgets": [ { "definition": { "title": "", "title_size": "16", "title_align": "left", "time": {}, "type": "change", "requests": [ { "formulas": [ { "formula": "hour_before(query1)" }, { "formula": "query1" } ], "queries": [ { "data_source": "logs", "name": "query1", "search": { "query": "" }, "indexes": [ "*" ], "compute": { "aggregation": "count" } } ], "response_format": "scalar", "compare_to": "hour_before", "increase_good": true, "order_by": "change", "change_type": "absolute", "order_dir": "desc" } ] }, "layout": { "x": 0, "y": 0, "width": 4, "height": 4 } } ], "tags": ["team:foobar"], "layout_type": "ordered" }
     When the request is sent
     Then the response status is 200 OK
     And the response "title" is equal to "{{ unique }}"