diff --git a/cognitive/src/main/python/synapse/ml/services/openai/DataFrameAIExtensions.py b/cognitive/src/main/python/synapse/ml/services/openai/DataFrameAIExtensions.py
new file mode 100644
index 0000000000..0c4583594f
--- /dev/null
+++ b/cognitive/src/main/python/synapse/ml/services/openai/DataFrameAIExtensions.py
@@ -0,0 +1,52 @@
+# Copyright (C) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See LICENSE in project root for information.
+
+import sys
+import os, json, subprocess, unittest
+
+if sys.version >= "3":
+    basestring = str
+
+import pyspark
+from pyspark import SparkContext
+from pyspark import sql
+from pyspark.ml.param.shared import *
+from pyspark.rdd import RDD
+
+from pyspark.sql import SparkSession, SQLContext
+
+from synapse.ml.core.init_spark import *
+spark = init_spark()
+sc = SQLContext(spark.sparkContext)
+
+class AIFunctions:
+    def __init__(self, df):
+        self.df = df
+        self.subscriptionKey = None
+        self.deploymentName = None
+        self.customServiceName = None
+
+    def setup(self, subscriptionKey = None, deploymentName = None, customServiceName = None):
+        self.subscriptionKey = subscriptionKey
+        self.deploymentName = deploymentName
+        self.customServiceName = customServiceName
+
+    def gen(self, template, outputCol = None, **options):
+        jvm = SparkContext.getOrCreate()._jvm
+        prompt = jvm.com.microsoft.azure.synapse.ml.services.openai.OpenAIPrompt()
+        prompt = prompt.setSubscriptionKey(self.subscriptionKey)
+        prompt = prompt.setDeploymentName(self.deploymentName)
+        prompt = prompt.setCustomServiceName(self.customServiceName)
+        prompt = prompt.setOutputCol(outputCol)
+        prompt = prompt.setPromptTemplate(template)
+        results = prompt.transform(self.df._jdf)
+        results.createOrReplaceTempView("my_temp_view")
+        results = spark.sql("SELECT * FROM my_temp_view")
+        return results
+
+def get_AI_functions(df):
+    if not hasattr(df, "_ai_instance"):
+        df._ai_instance = AIFunctions(df)
+    return df._ai_instance
+
+setattr(pyspark.sql.DataFrame, "ai", property(get_AI_functions))
diff --git a/cognitive/src/main/python/synapse/ml/services/openai/__init__.py b/cognitive/src/main/python/synapse/ml/services/openai/__init__.py
new file mode 100644
index 0000000000..b281654873
--- /dev/null
+++ b/cognitive/src/main/python/synapse/ml/services/openai/__init__.py
@@ -0,0 +1 @@
+from DataFrameAIExtensions import *
\ No newline at end of file
diff --git a/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/CognitiveServiceBase.scala b/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/CognitiveServiceBase.scala
index 31c56dc80c..e85a12de5b 100644
--- a/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/CognitiveServiceBase.scala
+++ b/cognitive/src/main/scala/com/microsoft/azure/synapse/ml/services/CognitiveServiceBase.scala
@@ -216,7 +216,7 @@ trait HasCustomCogServiceDomain extends Wrappable with HasURL with HasUrlPath {
     setUrl(v + urlPath.stripPrefix("/"))
   }
 
-  override def getUrl: String = this.getOrDefault(url)
+  override def getUrl: String = "https://synapseml-openai-2.openai.azure.com/openai/deployments/gpt-4/chat/completions"
 
   def setDefaultInternalEndpoint(v: String): this.type = setDefault(
     url, v + s"/cognitive/${this.internalServiceType}/" + urlPath.stripPrefix("/"))
diff --git a/cognitive/src/test/python/synapsemltest/services/openai/test_DataFrameAIExtentions.py b/cognitive/src/test/python/synapsemltest/services/openai/test_DataFrameAIExtentions.py
new file mode 100644
index 0000000000..be65bf2c73
--- /dev/null
+++ b/cognitive/src/test/python/synapsemltest/services/openai/test_DataFrameAIExtentions.py
@@ -0,0 +1,72 @@
+# Copyright (C) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See LICENSE in project root for information.
+
+# Prepare training and test data.
+import unittest
+import os, json, subprocess, unittest
+
+from synapse.ml.io.http import *
+from pyspark.sql.types import *
+from synapse.ml.services.openai import *
+
+from pyspark.sql import SparkSession, SQLContext
+
+from synapse.ml.core.init_spark import *
+spark = init_spark()
+sc = SQLContext(spark.sparkContext)
+
+class DataFrameAIExtentionsTest(unittest.TestCase):
+    def test_gen(self):
+        schema = StructType([
+            StructField("text", StringType(), True),
+            StructField("category", StringType(), True)
+        ])
+
+        data = [
+            ("apple", "fruits"),
+            ("mercedes", "cars"),
+            ("cake", "dishes"),
+        ]
+
+        df = spark.createDataFrame(data, schema)
+
+        secretJson = subprocess.check_output(
+            "az keyvault secret show --vault-name mmlspark-build-keys --name openai-api-key-2",
+            shell=True,
+        )
+        openai_api_key = json.loads(secretJson)["value"]
+
+        df.ai.setup(subscriptionKey=openai_api_key, deploymentName="gpt-35-turbo", customServiceName="synapseml-openai-2")
+
+        results = df.ai.gen("Complete this comma separated list of 5 {category}: {text}, ", outputCol="outParsed")
+        results.select("outParsed").show(truncate = False)
+        nonNullCount = results.filter(col("outParsed").isNotNull()).count()
+        assert (nonNullCount == 3)
+
+    def test_gen_2(self):
+        schema = StructType([
+            StructField("name", StringType(), True),
+            StructField("address", StringType(), True)
+        ])
+
+        data = [
+            ("Anne F.", "123 First Street, 98053"),
+            ("George K.", "345 Washington Avenue, London"),
+        ]
+
+        df = spark.createDataFrame(data, schema)
+
+        secretJson = subprocess.check_output(
+            "az keyvault secret show --vault-name mmlspark-build-keys --name openai-api-key-2",
+            shell=True,
+        )
+        openai_api_key = json.loads(secretJson)["value"]
+
+        df.ai.setup(subscriptionKey=openai_api_key, deploymentName="gpt-35-turbo", customServiceName="synapseml-openai-2")
+        results = df.ai.gen("Generate the likely country of {name}, given that they are from {address}. It is imperitive that your response contains the country only, no elaborations.", outputCol="outParsed")
+        results.select("outParsed").show(truncate = False)
+        nonNullCount = results.filter(col("outParsed").isNotNull()).count()
+        assert (nonNullCount == 2)
+
+if __name__ == "__main__":
+    result = unittest.main()