diff --git a/litellm/tests/test_streaming.py b/litellm/tests/test_streaming.py
index c3e0b68fad..959e63d594 100644
--- a/litellm/tests/test_streaming.py
+++ b/litellm/tests/test_streaming.py
@@ -274,7 +274,7 @@ def test_completion_azure_stream():
         pytest.fail(f"Error occurred: {e}")
 
 
-test_completion_azure_stream()
+# test_completion_azure_stream()
 
 
 def test_completion_azure_function_calling_stream():
@@ -799,9 +799,30 @@ def test_sagemaker_weird_response():
     When the stream ends, flush any remaining holding chunks.
     """
     try:
-        chunk = """<s>[INST] Hey, how's it going? [/INST]
+        from litellm.llms.sagemaker import TokenIterator
+        import json
+        import json
+        from litellm.llms.sagemaker import TokenIterator
 
-    I'm doing well, thanks for asking! How about you? Is there anything you'd like to chat about or ask? I'm here to help with any questions you might have."""
+        chunk = """<s>[INST] Hey, how's it going? [/INST],
+        I'm doing well, thanks for asking! How about you? Is there anything you'd like to chat about or ask? I'm here to help with any questions you might have."""
+
+        data = "\n".join(
+            map(
+                lambda x: f"data: {json.dumps({'token': {'text': x.strip()}})}",
+                chunk.strip().split(","),
+            )
+        )
+        stream = bytes(data, encoding="utf8")
+
+        # Modify the array to be a dictionary with "PayloadPart" and "Bytes" keys.
+        stream_iterator = iter([{"PayloadPart": {"Bytes": stream}}])
+
+        token_iter = TokenIterator(stream_iterator)
+
+        # for token in token_iter:
+        #     print(token)
+        litellm.set_verbose = True
 
         logging_obj = litellm.Logging(
             model="berri-benchmarking-Llama-2-70b-chat-hf-4",
@@ -813,13 +834,14 @@ def test_sagemaker_weird_response():
             start_time=time.time(),
         )
         response = litellm.CustomStreamWrapper(
-            completion_stream=chunk,
+            completion_stream=token_iter,
             model="berri-benchmarking-Llama-2-70b-chat-hf-4",
             custom_llm_provider="sagemaker",
             logging_obj=logging_obj,
         )
         complete_response = ""
         for chunk in response:
+            print(chunk)
             complete_response += chunk["choices"][0]["delta"]["content"]
         assert len(complete_response) > 0
     except Exception as e: