diff --git a/scripts/integration-tests.sh b/scripts/integration-tests.sh
index 6d2b272b4..372e97d8c 100755
--- a/scripts/integration-tests.sh
+++ b/scripts/integration-tests.sh
@@ -227,14 +227,15 @@ if [[ "$STACK_CONFIG" == *"server:"* && "$COLLECT_ONLY" == false ]]; then
     echo "=== Starting Llama Stack Server ==="
     export LLAMA_STACK_LOG_WIDTH=120
 
-    # Configure telemetry collector for server mode
-    # Use a fixed port for the OTEL collector so the server can connect to it
-    COLLECTOR_PORT=4317
-    export LLAMA_STACK_TEST_COLLECTOR_PORT="${COLLECTOR_PORT}"
-    export OTEL_EXPORTER_OTLP_ENDPOINT="http://127.0.0.1:${COLLECTOR_PORT}"
-    export OTEL_EXPORTER_OTLP_PROTOCOL="http/protobuf"
-    export OTEL_BSP_SCHEDULE_DELAY="200"
-    export OTEL_BSP_EXPORT_TIMEOUT="2000"
+        # Configure telemetry collector for server mode
+        # Use a fixed port for the OTEL collector so the server can connect to it
+        COLLECTOR_PORT=4317
+        export LLAMA_STACK_TEST_COLLECTOR_PORT="${COLLECTOR_PORT}"
+        export OTEL_EXPORTER_OTLP_ENDPOINT="http://127.0.0.1:${COLLECTOR_PORT}"
+        export OTEL_EXPORTER_OTLP_PROTOCOL="http/protobuf"
+        export OTEL_BSP_SCHEDULE_DELAY="200"
+        export OTEL_BSP_EXPORT_TIMEOUT="2000"
+        export OTEL_METRIC_EXPORT_INTERVAL="200"
 
     # remove "server:" from STACK_CONFIG
     stack_config=$(echo "$STACK_CONFIG" | sed 's/^server://')
diff --git a/tests/integration/telemetry/test_completions.py b/tests/integration/telemetry/test_completions.py
index 695f0c036..2b8835f6c 100644
--- a/tests/integration/telemetry/test_completions.py
+++ b/tests/integration/telemetry/test_completions.py
@@ -113,8 +113,7 @@ def test_telemetry_format_completeness(mock_otlp_collector, llama_stack_client,
     assert len(metrics) > 0, "No metrics found within timeout"
 
     # Filter metrics to only those from the specific model used in the request
-    # This prevents issues when multiple metrics with the same name exist from different models
-    # (e.g., when safety models like llama-guard are also called)
+    # Multiple metrics with the same name can exist (e.g., from safety models)
     inference_model_metrics = {}
     all_model_ids = set()