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diff --git a/litellm/__pycache__/utils.cpython-311.pyc b/litellm/__pycache__/utils.cpython-311.pyc
index 9384cfc96..b1f1c387f 100644
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diff --git a/litellm/tests/test_streaming.py b/litellm/tests/test_streaming.py
index 1423ff2a6..8728d4031 100644
--- a/litellm/tests/test_streaming.py
+++ b/litellm/tests/test_streaming.py
@@ -116,9 +116,11 @@ def test_openai_chat_completion_call():
         complete_response = ""
         start_time = time.time()
         for chunk in response:
-            chunk_time = time.time() 
-            print(f"time since initial request: {chunk_time - start_time:.5f}")
             print(chunk)
+            if chunk["choices"][0]["finish_reason"]:
+                break
+            # if chunk["choices"][0]["delta"]["role"] != "assistant":
+            #     raise Exception("invalid role")
             if "content" in chunk["choices"][0]["delta"]:
                 complete_response += chunk["choices"][0]["delta"]["content"]
             print(f'complete_chunk: {complete_response}')
diff --git a/litellm/utils.py b/litellm/utils.py
index 8ee4e3c48..7e688c558 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -89,10 +89,12 @@ class Message(OpenAIObject):
         self.logprobs = logprobs
 
 class Delta(OpenAIObject):
-    def __init__(self, content=" ", logprobs=None, role="assistant", **params):
+    def __init__(self, content="<special_litellm_token>", logprobs=None, role=None, **params):
         super(Delta, self).__init__(**params)
-        self.content = content
-        self.role = role
+        if content != "<special_litellm_token>":
+            self.content = content
+        if role:
+            self.role = role
 
 
 class Choices(OpenAIObject):
@@ -2501,9 +2503,11 @@ class CustomStreamWrapper:
             threading.Thread(target=self.logging_obj.success_handler, args=(completion_obj,)).start()
             # return this for all models
             model_response = ModelResponse(stream=True)
-            model_response.choices[0].delta.content = completion_obj["content"]
+            model_response.choices[0].delta = {
+                "content": completion_obj["content"],
+            }
             if "role" in completion_obj: 
-                model_response.choices[0].delta.role = completion_obj["role"]
+                model_response.choices[0].delta = completion_obj
             return model_response
         except StopIteration:
             raise StopIteration
diff --git a/pyproject.toml b/pyproject.toml
index 1760797fb..90a294583 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "0.1.647"
+version = "0.1.650"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT License"