diff --git a/.generator/schemas/v2/openapi.yaml b/.generator/schemas/v2/openapi.yaml
index cfbcb7286a..56373d348f 100644
--- a/.generator/schemas/v2/openapi.yaml
+++ b/.generator/schemas/v2/openapi.yaml
@@ -37791,18 +37791,13 @@ components:
           example: 10.0
           format: double
           type: number
-        rate:
-          description: Number of events to sample (1 in N).
-          example: 10
-          format: int64
-          minimum: 1
-          type: integer
         type:
           $ref: '#/components/schemas/ObservabilityPipelineSampleProcessorType'
       required:
       - id
       - type
       - include
+      - percentage
       - enabled
       type: object
     ObservabilityPipelineSampleProcessorType:
diff --git a/src/datadog_api_client/v2/model/observability_pipeline_config_processor_item.py b/src/datadog_api_client/v2/model/observability_pipeline_config_processor_item.py
index 8becc43c0d..9468a00bac 100644
--- a/src/datadog_api_client/v2/model/observability_pipeline_config_processor_item.py
+++ b/src/datadog_api_client/v2/model/observability_pipeline_config_processor_item.py
@@ -64,10 +64,7 @@ def __init__(self, **kwargs):
         :type metrics: [ObservabilityPipelineGeneratedMetric], optional
 
         :param percentage: The percentage of logs to sample.
-        :type percentage: float, optional
-
-        :param rate: Number of events to sample (1 in N).
-        :type rate: int, optional
+        :type percentage: float
 
         :param disable_library_rules: If set to `true`, disables the default Grok rules provided by Datadog.
         :type disable_library_rules: bool, optional
diff --git a/src/datadog_api_client/v2/model/observability_pipeline_sample_processor.py b/src/datadog_api_client/v2/model/observability_pipeline_sample_processor.py
index b301a81a73..a77959344a 100644
--- a/src/datadog_api_client/v2/model/observability_pipeline_sample_processor.py
+++ b/src/datadog_api_client/v2/model/observability_pipeline_sample_processor.py
@@ -20,12 +20,6 @@
 
 
 class ObservabilityPipelineSampleProcessor(ModelNormal):
-    validations = {
-        "rate": {
-            "inclusive_minimum": 1,
-        },
-    }
-
     @cached_property
     def openapi_types(_):
         from datadog_api_client.v2.model.observability_pipeline_sample_processor_type import (
@@ -38,7 +32,6 @@ def openapi_types(_):
             "id": (str,),
             "include": (str,),
             "percentage": (float,),
-            "rate": (int,),
             "type": (ObservabilityPipelineSampleProcessorType,),
         }
 
@@ -48,7 +41,6 @@ def openapi_types(_):
         "id": "id",
         "include": "include",
         "percentage": "percentage",
-        "rate": "rate",
         "type": "type",
     }
 
@@ -57,10 +49,9 @@ def __init__(
         enabled: bool,
         id: str,
         include: str,
+        percentage: float,
         type: ObservabilityPipelineSampleProcessorType,
         display_name: Union[str, UnsetType] = unset,
-        percentage: Union[float, UnsetType] = unset,
-        rate: Union[int, UnsetType] = unset,
         **kwargs,
     ):
         """
@@ -79,23 +70,17 @@ def __init__(
         :type include: str
 
         :param percentage: The percentage of logs to sample.
-        :type percentage: float, optional
-
-        :param rate: Number of events to sample (1 in N).
-        :type rate: int, optional
+        :type percentage: float
 
         :param type: The processor type. The value should always be ``sample``.
         :type type: ObservabilityPipelineSampleProcessorType
         """
         if display_name is not unset:
             kwargs["display_name"] = display_name
-        if percentage is not unset:
-            kwargs["percentage"] = percentage
-        if rate is not unset:
-            kwargs["rate"] = rate
         super().__init__(kwargs)
 
         self_.enabled = enabled
         self_.id = id
         self_.include = include
+        self_.percentage = percentage
         self_.type = type