Add llm-observability alert monitor type

.generator/schemas/v1/openapi.yaml

@@ -10153,6 +10153,7 @@ components:
         - "data-quality alert"
         - "network-path alert"
         - "data-jobs alert"
+        - "llm-observability alert"
       example: "query alert"
       type: string
       x-enum-varnames:
@@ -10178,6 +10179,7 @@ components:
         - DATA_QUALITY_ALERT
         - NETWORK_PATH_ALERT
         - DATA_JOBS_ALERT
+        - LLM_OBSERVABILITY_ALERT
     MonitorUpdateRequest:
       description: Object describing a monitor update request.
       properties:

examples/v1/monitors/CreateMonitor_1348801712.py

@@ -0,0 +1,35 @@
+"""
+Create an LLM Observability monitor returns "OK" response
+"""
+
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.monitors_api import MonitorsApi
+from datadog_api_client.v1.model.monitor import Monitor
+from datadog_api_client.v1.model.monitor_options import MonitorOptions
+from datadog_api_client.v1.model.monitor_thresholds import MonitorThresholds
+from datadog_api_client.v1.model.monitor_type import MonitorType
+
+body = Monitor(
+    name="Example-Monitor",
+    type=MonitorType.LLM_OBSERVABILITY_ALERT,
+    query='llm-observability("*").rollup("count").last("2h") > 0',
+    message="LLM observability alert triggered",
+    tags=[
+        "test:examplemonitor",
+        "env:ci",
+    ],
+    options=MonitorOptions(
+        thresholds=MonitorThresholds(
+            critical=0.0,
+        ),
+        include_tags=True,
+        notify_audit=False,
+    ),
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = MonitorsApi(api_client)
+    response = api_instance.create_monitor(body=body)
+
+    print(response)

src/datadog_api_client/v1/model/monitor_type.py

@@ -16,7 +16,7 @@ class MonitorType(ModelSimple):
     """
     The type of the monitor. For more information about `type`, see the [monitor options](https://docs.datadoghq.com/monitors/guide/monitor_api_options/) docs.
 
-    :param value: Must be one of ["composite", "event alert", "log alert", "metric alert", "process alert", "query alert", "rum alert", "service check", "synthetics alert", "trace-analytics alert", "slo alert", "event-v2 alert", "audit alert", "ci-pipelines alert", "ci-tests alert", "error-tracking alert", "database-monitoring alert", "network-performance alert", "cost alert", "data-quality alert", "network-path alert", "data-jobs alert"].
+    :param value: Must be one of ["composite", "event alert", "log alert", "metric alert", "process alert", "query alert", "rum alert", "service check", "synthetics alert", "trace-analytics alert", "slo alert", "event-v2 alert", "audit alert", "ci-pipelines alert", "ci-tests alert", "error-tracking alert", "database-monitoring alert", "network-performance alert", "cost alert", "data-quality alert", "network-path alert", "data-jobs alert", "llm-observability alert"].
     :type value: str
     """
 
@@ -43,6 +43,7 @@ class MonitorType(ModelSimple):
         "data-quality alert",
         "network-path alert",
         "data-jobs alert",
+        "llm-observability alert",
     }
     COMPOSITE: ClassVar["MonitorType"]
     EVENT_ALERT: ClassVar["MonitorType"]
@@ -66,6 +67,7 @@ class MonitorType(ModelSimple):
     DATA_QUALITY_ALERT: ClassVar["MonitorType"]
     NETWORK_PATH_ALERT: ClassVar["MonitorType"]
     DATA_JOBS_ALERT: ClassVar["MonitorType"]
+    LLM_OBSERVABILITY_ALERT: ClassVar["MonitorType"]
 
     @cached_property
     def openapi_types(_):
@@ -96,3 +98,4 @@ def openapi_types(_):
 MonitorType.DATA_QUALITY_ALERT = MonitorType("data-quality alert")
 MonitorType.NETWORK_PATH_ALERT = MonitorType("network-path alert")
 MonitorType.DATA_JOBS_ALERT = MonitorType("data-jobs alert")
+MonitorType.LLM_OBSERVABILITY_ALERT = MonitorType("llm-observability alert")

tests/v1/cassettes/test_scenarios/test_create_an_llm_observability_monitor_returns_ok_response.frozen

@@ -0,0 +1 @@
+2026-08-11T15:01:12.326Z

tests/v1/cassettes/test_scenarios/test_create_an_llm_observability_monitor_returns_ok_response.yaml

@@ -0,0 +1,45 @@
+interactions:
+- request:
+    body: '{"message":"LLM observability alert triggered","name":"Test-Create_an_LLM_Observability_monitor_returns_OK_response-1786460472","options":{"include_tags":true,"notify_audit":false,"thresholds":{"critical":0}},"query":"llm-observability(\"*\").rollup(\"count\").last(\"2h\")
+      > 0","tags":["test:testcreateanllmobservabilitymonitorreturnsokresponse1786460472","env:ci"],"type":"llm-observability
+      alert"}'
+    headers:
+      accept:
+      - application/json
+      content-type:
+      - application/json
+    method: POST
+    uri: https://api.datadoghq.com/api/v1/monitor
+  response:
+    body:
+      string: '{"id":312833678,"org_id":321813,"type":"llm-observability alert","name":"Test-Create_an_LLM_Observability_monitor_returns_OK_response-1786460472","message":"LLM
+        observability alert triggered","tags":["test:testcreateanllmobservabilitymonitorreturnsokresponse1786460472","env:ci"],"query":"llm-observability(\"*\").rollup(\"count\").last(\"2h\")
+        > 0","options":{"include_tags":true,"notify_audit":false,"thresholds":{"critical":0.0},"notify_no_data":false,"new_host_delay":300,"groupby_simple_monitor":false,"silenced":{}},"multi":false,"created_at":1786460473000,"created":"2026-08-11T15:01:13.078330+00:00","modified":"2026-08-11T15:01:13.078330+00:00","deleted":null,"priority":null,"restricted_roles":null,"restriction_policy":null,"draft_status":"published","assets":[],"overall_state_modified":null,"overall_state":"No
+        Data","creator":{"name":"Francesco Pighi","handle":"francesco.pighi@datadoghq.com","email":"francesco.pighi@datadoghq.com","id":21235577}}
+
+        '
+    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/monitor/312833678
+  response:
+    body:
+      string: '{"deleted_monitor_id":312833678}
+
+        '
+    headers:
+      content-type:
+      - application/json
+    status:
+      code: 200
+      message: OK
+version: 1

tests/v1/features/monitors.feature

@@ -202,6 +202,15 @@ Feature: Monitors
     And the response "query" is equal to "error-tracking-rum(\"service:foo AND @error.source:source\").rollup(\"count\").by(\"@issue.id\").last(\"1h\") >= 1"
     And the response "draft_status" is equal to "draft"
 
+  @team:DataDog/monitor-app
+  Scenario: Create an LLM Observability monitor returns "OK" response
+    Given new "CreateMonitor" request
+    And body with value {"name": "{{ unique }}", "type": "llm-observability alert", "query": "llm-observability(\"*\").rollup(\"count\").last(\"2h\") > 0", "message": "LLM observability alert triggered", "tags": ["test:{{ unique_lower_alnum }}", "env:ci"], "options": {"thresholds": {"critical": 0}, "include_tags": true, "notify_audit": false}}
+    When the request is sent
+    Then the response status is 200 OK
+    And the response "name" is equal to "{{ unique }}"
+    And the response "type" is equal to "llm-observability alert"
+
   @generated @skip @team:DataDog/monitor-app
   Scenario: Delete a monitor returns "Bad Request" response
     Given new "DeleteMonitor" request