Document AI Impact user activity endpoint under DORA Metrics

.generator/schemas/v2/openapi.yaml

@@ -142692,7 +142692,7 @@ paths:
         - apiKeyAuth: []
       summary: Send AI tool user activity
       tags:
-        - AI Impact
+        - DORA Metrics
       x-codegen-request-body-name: body
   /api/v2/annotation:
     get:
@@ -246906,9 +246906,6 @@ servers:
         default: api
         description: The subdomain where the API is deployed.
 tags:
-  - description: |-
-      Send AI coding tool usage data to measure the impact of AI tools on software delivery.
-    name: AI Impact
   - description: |-
       Configure your API endpoints through the Datadog API.
     name: API Management

examples/v2/ai-impact/CreateAIImpactUserActivity.py → examples/v2/dora-metrics/CreateAIImpactUserActivity.py

@@ -3,7 +3,7 @@
 """
 
 from datadog_api_client import ApiClient, Configuration
-from datadog_api_client.v2.api.ai_impact_api import AIImpactApi
+from datadog_api_client.v2.api.dora_metrics_api import DORAMetricsApi
 from datadog_api_client.v2.model.ai_impact_user_activity_attributes import AIImpactUserActivityAttributes
 from datadog_api_client.v2.model.ai_impact_user_activity_data import AIImpactUserActivityData
 from datadog_api_client.v2.model.ai_impact_user_activity_request import AIImpactUserActivityRequest
@@ -32,5 +32,5 @@
 
 configuration = Configuration()
 with ApiClient(configuration) as api_client:
-    api_instance = AIImpactApi(api_client)
+    api_instance = DORAMetricsApi(api_client)
     api_instance.create_ai_impact_user_activity(body=body)

src/datadog_api_client/v2/api/dora_metrics_api.py

@@ -8,6 +8,7 @@
 
 from datadog_api_client.api_client import ApiClient, Endpoint as _Endpoint
 from datadog_api_client.configuration import Configuration
+from datadog_api_client.v2.model.ai_impact_user_activity_request import AIImpactUserActivityRequest
 from datadog_api_client.v2.model.dora_deployment_response import DORADeploymentResponse
 from datadog_api_client.v2.model.dora_deployment_request import DORADeploymentRequest
 from datadog_api_client.v2.model.dora_deployment_patch_by_version_request import DORADeploymentPatchByVersionRequest
@@ -34,6 +35,26 @@ def __init__(self, api_client=None):
             api_client = ApiClient(Configuration())
         self.api_client = api_client
 
+        self._create_ai_impact_user_activity_endpoint = _Endpoint(
+            settings={
+                "response_type": None,
+                "auth": ["apiKeyAuth"],
+                "endpoint_path": "/api/v2/ai_impact/user_activity",
+                "operation_id": "create_ai_impact_user_activity",
+                "http_method": "POST",
+                "version": "v2",
+            },
+            params_map={
+                "body": {
+                    "required": True,
+                    "openapi_types": (AIImpactUserActivityRequest,),
+                    "location": "body",
+                },
+            },
+            headers_map={"accept": ["*/*"], "content_type": ["application/json"]},
+            api_client=api_client,
+        )
+
         self._create_dora_deployment_endpoint = _Endpoint(
             settings={
                 "response_type": (DORADeploymentResponse,),
@@ -272,6 +293,25 @@ def __init__(self, api_client=None):
             api_client=api_client,
         )
 
+    def create_ai_impact_user_activity(
+        self,
+        body: AIImpactUserActivityRequest,
+    ) -> None:
+        """Send AI tool user activity.
+
+        Send daily AI coding tool activity for one or more users. Each entry records whether a
+        user was active on a given day, along with the AI tools and models they used. An entry
+        is stored once per tool, and sending the same user, day, and tool again overwrites the
+        previous value.
+
+        :type body: AIImpactUserActivityRequest
+        :rtype: None
+        """
+        kwargs: Dict[str, Any] = {}
+        kwargs["body"] = body
+
+        return self._create_ai_impact_user_activity_endpoint.call_with_http_info(**kwargs)
+
     def create_dora_deployment(
         self,
         body: DORADeploymentRequest,

src/datadog_api_client/v2/apis/__init__.py

@@ -1,4 +1,3 @@
-from datadog_api_client.v2.api.ai_impact_api import AIImpactApi
 from datadog_api_client.v2.api.api_management_api import APIManagementApi
 from datadog_api_client.v2.api.apm_api import APMApi
 from datadog_api_client.v2.api.apm_retention_filters_api import APMRetentionFiltersApi
@@ -156,7 +155,6 @@
 
 
 __all__ = [
-    "AIImpactApi",
     "APIManagementApi",
     "APMApi",
     "APMRetentionFiltersApi",

tests/v2/features/dora_metrics.feature

@@ -190,6 +190,20 @@ Feature: DORA Metrics
     When the request is sent
     Then the response status is 400 Bad Request
 
+  @generated @skip @team:ddoghq/ci-app-backend
+  Scenario: Send AI tool user activity returns "Bad Request: the batch is empty, has more than 1,000 entries, or contains an invalid entry." response
+    Given new "CreateAIImpactUserActivity" request
+    And body with value {"data": [{"attributes": {"day": "2026-05-26", "is_active": true, "models": ["claude-sonnet-4.5", "gpt-5"], "tools": ["Claude Code", "Cursor"], "user_email": "user@example.com"}, "type": "ai_impact_user_activity"}]}
+    When the request is sent
+    Then the response status is 400 Bad Request: the batch is empty, has more than 1,000 entries, or contains an invalid entry.
+
+  @generated @skip @team:ddoghq/ci-app-backend
+  Scenario: Send AI tool user activity returns "OK" response
+    Given new "CreateAIImpactUserActivity" request
+    And body with value {"data": [{"attributes": {"day": "2026-05-26", "is_active": true, "models": ["claude-sonnet-4.5", "gpt-5"], "tools": ["Claude Code", "Cursor"], "user_email": "user@example.com"}, "type": "ai_impact_user_activity"}]}
+    When the request is sent
+    Then the response status is 200 OK
+
   @skip @team:ddoghq/ci-app-backend
   Scenario: Send a deployment event returns "Bad Request" response
     Given new "CreateDORADeployment" request

tests/v2/features/undo.json

@@ -369,7 +369,7 @@
     }
   },
   "CreateAIImpactUserActivity": {
-    "tag": "AI Impact",
+    "tag": "DORA Metrics",
     "undo": {
       "type": "idempotent"
     }