diff --git a/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAI.scala b/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAI.scala
index 037f8477b3..c2ed5b8305 100644
--- a/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAI.scala
+++ b/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAI.scala
@@ -4,12 +4,13 @@
 package com.microsoft.azure.synapse.ml.services.openai
 
 import com.microsoft.azure.synapse.ml.codegen.GenerationUtils
-import com.microsoft.azure.synapse.ml.fabric.OpenAITokenLibrary
+import com.microsoft.azure.synapse.ml.fabric.{FabricClient, OpenAIFabricSetting, OpenAITokenLibrary}
 import com.microsoft.azure.synapse.ml.logging.common.PlatformDetails
-import com.microsoft.azure.synapse.ml.services.{CognitiveServicesBase, HasAPIVersion,
-  HasCognitiveServiceInput, HasServiceParams}
 import com.microsoft.azure.synapse.ml.param.ServiceParam
+import com.microsoft.azure.synapse.ml.services._
+import org.apache.spark.ml.PipelineModel
 import org.apache.spark.sql.Row
+import org.apache.spark.sql.types._
 import spray.json.DefaultJsonProtocol._
 
 import scala.language.existentials
@@ -256,10 +257,21 @@ trait HasOpenAICognitiveServiceInput extends HasCognitiveServiceInput {
     } else {
       providedCustomHeader
     }
-
   }
 }
 
-abstract class OpenAIServicesBase(override val uid: String) extends CognitiveServicesBase(uid: String) {
+abstract class OpenAIServicesBase(override val uid: String) extends CognitiveServicesBase(uid: String)
+  with HasOpenAISharedParams with OpenAIFabricSetting {
   setDefault(timeout -> 360.0)
+
+  private def usingDefaultOpenAIEndpoint(): Boolean = {
+    getUrl == FabricClient.MLWorkloadEndpointML + "/cognitive/openai/"
+  }
+
+  override protected def getInternalTransformer(schema: StructType): PipelineModel = {
+    if (PlatformDetails.runningOnFabric() && usingDefaultOpenAIEndpoint) {
+      getModelStatus(getDeploymentName)
+    }
+    super.getInternalTransformer(schema)
+  }
 }
diff --git a/core/src/main/scala/com/microsoft/azure/synapse/ml/fabric/OpenAIFabricSetting.scala b/core/src/main/scala/com/microsoft/azure/synapse/ml/fabric/OpenAIFabricSetting.scala
new file mode 100644
index 0000000000..d5a1bc5900
--- /dev/null
+++ b/core/src/main/scala/com/microsoft/azure/synapse/ml/fabric/OpenAIFabricSetting.scala
@@ -0,0 +1,56 @@
+// Copyright (C) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License. See LICENSE in project root for information.
+
+package com.microsoft.azure.synapse.ml.fabric
+
+import spray.json.{JsValue, JsString}
+
+trait OpenAIFabricSetting extends RESTUtils {
+
+  private def getHeaders: Map[String, String] = {
+    Map(
+      "Authorization" -> s"Bearer ${TokenLibrary.getAccessToken}",
+      "Content-Type" -> "application/json"
+    )
+  }
+
+  def usagePost(url: String, body: String): JsValue = {
+    usagePost(url, body, getHeaders);
+  }
+
+  def getModelStatus(modelName: String): Boolean = {
+
+    val payload =
+      s"""["${modelName}"]"""
+
+    val mlWorkloadEndpointML = FabricClient.MLWorkloadEndpointML
+    val url = mlWorkloadEndpointML + "cognitive/openai/tenantsetting"
+    val modelStatus = usagePost(url, payload).asJsObject.fields.get(modelName.toLowerCase).get
+
+    // Allowed, Disallowed, DisallowedForCrossGeo, ModelNotFound, InvalidResult
+    val resultString: String = modelStatus match {
+      case JsString(value) => value
+      case _ => throw new RuntimeException("Unexpected result from type conversion " +
+        "when checking the fabric tenant settings API.")
+    }
+
+    resultString match {
+      case "Disallowed" => throw new RuntimeException(s"Default OpenAI model ${modelName} is Disallowed, " +
+        s"please contact your admin if you want to use default fabric LLM model. " +
+        s"Or you can set your Azure OpenAI credentials.")
+      case "DisallowedForCrossGeo" => throw new RuntimeException(s"Default OpenAI model ${modelName} is Disallowed " +
+        s"for Cross Geo, please contact your admin if you want to use default fabric LLM model. " +
+        s"Or you can set your Azure OpenAI credentials." +
+        s"Refer to https://learn.microsoft.com/en-us/fabric/data-science/ai-services/ai-services-overview " +
+        s"for more detials")
+      case "ModelNotFound" => throw new RuntimeException(s"Default OpenAI model ${modelName} not found, " +
+        s"please check your deployment name. " +
+        s"Refer to https://learn.microsoft.com/en-us/fabric/data-science/ai-services/ai-services-overview " +
+        s"for the models available.")
+      case "InvalidResult" => throw new RuntimeException("Cannot get tenant admin setting status correctly")
+      case "Allowed" => true
+      case _ => throw new RuntimeException("Unexpected result from checking the Fabric tenant settings API.")
+    }
+  }
+
+}