Regenerate client from commit c758880 of spec repo

Author: ci.datadog-api-spec

.generator/schemas/v2/openapi.yaml

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+"2026-04-01T20:36:45.896Z"

cassettes/v2/Feature-Flags_3833710718/Create-allocation-for-a-flag-in-an-environment-returns-Created-response_1397720344/frozen.json

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+"2026-04-01T20:36:50.944Z"

cassettes/v2/Feature-Flags_3833710718/Create-allocation-for-a-flag-in-an-environment-returns-Created-response_1397720344/recording.har

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+/**
+ * Create targeting rules for a flag env returns "Created" response
+ */
+
+import { client, v2 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v2.FeatureFlagsApi(configuration);
+
+const params: v2.FeatureFlagsApiCreateAllocationsForFeatureFlagInEnvironmentRequest =
+  {
+    body: {
+      data: {
+        attributes: {
+          experimentId: "550e8400-e29b-41d4-a716-446655440030",
+          exposureSchedule: {
+            absoluteStartTime: new Date(2025, 6, 13, 12, 0, 0, 0),
+            controlVariantId: "550e8400-e29b-41d4-a716-446655440012",
+            controlVariantKey: "control",
+            id: "550e8400-e29b-41d4-a716-446655440010",
+            rolloutOptions: {
+              autostart: false,
+              selectionIntervalMs: 3600000,
+              strategy: "UNIFORM_INTERVALS",
+            },
+            rolloutSteps: [
+              {
+                exposureRatio: 0.5,
+                groupedStepIndex: 1,
+                id: "550e8400-e29b-41d4-a716-446655440040",
+                intervalMs: 3600000,
+                isPauseRecord: false,
+              },
+            ],
+          },
+          guardrailMetrics: [
+            {
+              metricId: "metric-error-rate",
+              triggerAction: "PAUSE",
+            },
+          ],
+          id: "550e8400-e29b-41d4-a716-446655440020",
+          key: "prod-rollout",
+          name: "Production Rollout",
+          targetingRules: [
+            {
+              conditions: [
+                {
+                  attribute: "user_tier",
+                  operator: "ONE_OF",
+                  value: ["premium", "enterprise"],
+                },
+              ],
+            },
+          ],
+          type: "FEATURE_GATE",
+          variantWeights: [
+            {
+              value: 50,
+              variantId: "550e8400-e29b-41d4-a716-446655440001",
+              variantKey: "control",
+            },
+          ],
+        },
+        type: "allocations",
+      },
+    },
+    featureFlagId: "550e8400-e29b-41d4-a716-446655440000",
+    environmentId: "550e8400-e29b-41d4-a716-446655440001",
+  };
+
+apiInstance
+  .createAllocationsForFeatureFlagInEnvironment(params)
+  .then((data: v2.AllocationResponse) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));

cassettes/v2/Feature-Flags_3833710718/Update-targeting-rules-for-a-flag-in-an-environment-returns-OK-response_1080924031/frozen.json

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+/**
+ * Create allocation for a flag in an environment returns "Created" response
+ */
+
+import { client, v2 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v2.FeatureFlagsApi(configuration);
+
+// there is a valid "feature_flag" in the system
+const FEATURE_FLAG_DATA_ATTRIBUTES_VARIANTS_0_ID = process.env
+  .FEATURE_FLAG_DATA_ATTRIBUTES_VARIANTS_0_ID as string;
+const FEATURE_FLAG_DATA_ID = process.env.FEATURE_FLAG_DATA_ID as string;
+
+// there is a valid "environment" in the system
+const ENVIRONMENT_DATA_ID = process.env.ENVIRONMENT_DATA_ID as string;
+
+const params: v2.FeatureFlagsApiCreateAllocationsForFeatureFlagInEnvironmentRequest =
+  {
+    body: {
+      data: {
+        type: "allocations",
+        attributes: {
+          name: "New targeting rule Example-Feature-Flag",
+          key: "new-targeting-rule-example-feature-flag",
+          targetingRules: [],
+          variantWeights: [
+            {
+              variantId: FEATURE_FLAG_DATA_ATTRIBUTES_VARIANTS_0_ID,
+              value: 100,
+            },
+          ],
+          guardrailMetrics: [],
+          type: "CANARY",
+        },
+      },
+    },
+    featureFlagId: FEATURE_FLAG_DATA_ID,
+    environmentId: ENVIRONMENT_DATA_ID,
+  };
+
+apiInstance
+  .createAllocationsForFeatureFlagInEnvironment(params)
+  .then((data: v2.AllocationResponse) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));

cassettes/v2/Feature-Flags_3833710718/Update-targeting-rules-for-a-flag-in-an-environment-returns-OK-response_1080924031/recording.har

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+/**
+ * Pause a progressive rollout returns "OK" response
+ */
+
+import { client, v2 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v2.FeatureFlagsApi(configuration);
+
+const params: v2.FeatureFlagsApiPauseExposureScheduleRequest = {
+  exposureScheduleId: "550e8400-e29b-41d4-a716-446655440010",
+};
+
+apiInstance
+  .pauseExposureSchedule(params)
+  .then((data: v2.AllocationExposureScheduleResponse) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));

examples/v2/feature-flags/CreateAllocationsForFeatureFlagInEnvironment.ts

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+/**
+ * Resume a progressive rollout returns "OK" response
+ */
+
+import { client, v2 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v2.FeatureFlagsApi(configuration);
+
+const params: v2.FeatureFlagsApiResumeExposureScheduleRequest = {
+  exposureScheduleId: "550e8400-e29b-41d4-a716-446655440010",
+};
+
+apiInstance
+  .resumeExposureSchedule(params)
+  .then((data: v2.AllocationExposureScheduleResponse) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));

examples/v2/feature-flags/CreateAllocationsForFeatureFlagInEnvironment_3662093014.ts

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+/**
+ * Start a progressive rollout returns "OK" response
+ */
+
+import { client, v2 } from "@datadog/datadog-api-client";
+
+const configuration = client.createConfiguration();
+const apiInstance = new v2.FeatureFlagsApi(configuration);
+
+const params: v2.FeatureFlagsApiStartExposureScheduleRequest = {
+  exposureScheduleId: "550e8400-e29b-41d4-a716-446655440010",
+};
+
+apiInstance
+  .startExposureSchedule(params)
+  .then((data: v2.AllocationExposureScheduleResponse) => {
+    console.log(
+      "API called successfully. Returned data: " + JSON.stringify(data)
+    );
+  })
+  .catch((error: any) => console.error(error));