Fix estimate endpoint query params to match live schema

.generator/schemas/v2/openapi.yaml

@@ -66274,7 +66274,7 @@ components:
     MetricEstimateType:
       default: count_or_gauge
       description: |-
-        Estimate type based on the queried configuration. By default, `count_or_gauge` is returned. `distribution` is returned for distribution metrics without percentiles enabled. Lastly, `percentile` is returned if `filter[pct]=true` is queried with a distribution metric.
+        Estimate type based on the queried configuration. `count_or_gauge` is returned by default, and `distribution` is returned for distribution metrics. The `filter[pct]` query parameter has no effect on this value.
       enum:
         - count_or_gauge
         - distribution
@@ -171024,6 +171024,14 @@ paths:
           required: false
           schema:
             type: string
+        - description: |-
+            When `true`, `filter[groups]` is treated as an exclude list instead of an include list. Defaults to `false`.
+          example: false
+          in: query
+          name: filter[exclude_tags_mode]
+          required: false
+          schema:
+            type: boolean
         - description: The number of hours of look back (from now) to estimate cardinality with. If unspecified, it defaults to 0 hours.
           example: 49
           in: query
@@ -171043,7 +171051,7 @@ paths:
             format: int32
             maximum: 9
             type: integer
-        - description: A boolean, for distribution metrics only, to estimate cardinality if the metric includes additional percentile aggregators.
+        - description: Deprecated. This query parameter has no effect on the estimate.
           example: true
           in: query
           name: filter[pct]

src/datadog_api_client/v2/api/metrics_api.py

@@ -325,6 +325,11 @@ def __init__(self, api_client=None):
                     "attribute": "filter[groups]",
                     "location": "query",
                 },
+                "filter_exclude_tags_mode": {
+                    "openapi_types": (bool,),
+                    "attribute": "filter[exclude_tags_mode]",
+                    "location": "query",
+                },
                 "filter_hours_ago": {
                     "validation": {
                         "inclusive_maximum": 2147483647,
@@ -1116,6 +1121,7 @@ def estimate_metrics_output_series(
         metric_name: str,
         *,
         filter_groups: Union[str, UnsetType] = unset,
+        filter_exclude_tags_mode: Union[bool, UnsetType] = unset,
         filter_hours_ago: Union[int, UnsetType] = unset,
         filter_num_aggregations: Union[int, UnsetType] = unset,
         filter_pct: Union[bool, UnsetType] = unset,
@@ -1129,11 +1135,13 @@ def estimate_metrics_output_series(
         :type metric_name: str
         :param filter_groups: Comma-separated list of tag keys that the metric is configured to query with. For example: ``filter[groups]=app,host``.
         :type filter_groups: str, optional
+        :param filter_exclude_tags_mode: When ``true`` , ``filter[groups]`` is treated as an exclude list instead of an include list. Defaults to ``false``.
+        :type filter_exclude_tags_mode: bool, optional
         :param filter_hours_ago: The number of hours of look back (from now) to estimate cardinality with. If unspecified, it defaults to 0 hours.
         :type filter_hours_ago: int, optional
         :param filter_num_aggregations: Deprecated. Number of aggregations has no impact on volume.
         :type filter_num_aggregations: int, optional
-        :param filter_pct: A boolean, for distribution metrics only, to estimate cardinality if the metric includes additional percentile aggregators.
+        :param filter_pct: Deprecated. This query parameter has no effect on the estimate.
         :type filter_pct: bool, optional
         :param filter_timespan_h: A window, in hours, from the look back to estimate cardinality with. The minimum and default is 1 hour.
         :type filter_timespan_h: int, optional
@@ -1145,6 +1153,9 @@ def estimate_metrics_output_series(
         if filter_groups is not unset:
             kwargs["filter_groups"] = filter_groups
 
+        if filter_exclude_tags_mode is not unset:
+            kwargs["filter_exclude_tags_mode"] = filter_exclude_tags_mode
+
         if filter_hours_ago is not unset:
             kwargs["filter_hours_ago"] = filter_hours_ago
 

src/datadog_api_client/v2/model/metric_estimate_attributes.py

@@ -45,7 +45,7 @@ def __init__(
         """
         Object containing the definition of a metric estimate attribute.
 
-        :param estimate_type: Estimate type based on the queried configuration. By default, ``count_or_gauge`` is returned. ``distribution`` is returned for distribution metrics without percentiles enabled. Lastly, ``percentile`` is returned if ``filter[pct]=true`` is queried with a distribution metric.
+        :param estimate_type: Estimate type based on the queried configuration. ``count_or_gauge`` is returned by default, and ``distribution`` is returned for distribution metrics. The ``filter[pct]`` query parameter has no effect on this value.
         :type estimate_type: MetricEstimateType, optional
 
         :param estimated_at: Timestamp when the cardinality estimate was requested.

src/datadog_api_client/v2/model/metric_estimate_type.py

@@ -14,7 +14,7 @@
 
 class MetricEstimateType(ModelSimple):
     """
-    Estimate type based on the queried configuration. By default, `count_or_gauge` is returned. `distribution` is returned for distribution metrics without percentiles enabled. Lastly, `percentile` is returned if `filter[pct]=true` is queried with a distribution metric.
+    Estimate type based on the queried configuration. `count_or_gauge` is returned by default, and `distribution` is returned for distribution metrics. The `filter[pct]` query parameter has no effect on this value.
 
     :param value: If omitted defaults to "count_or_gauge". Must be one of ["count_or_gauge", "distribution", "percentile"].
     :type value: str