diff --git a/litellm/tests/test_amazing_vertex_completion.py b/litellm/tests/test_amazing_vertex_completion.py
index 67db9b61ca..eb197cc01c 100644
--- a/litellm/tests/test_amazing_vertex_completion.py
+++ b/litellm/tests/test_amazing_vertex_completion.py
@@ -416,6 +416,46 @@ def test_gemini_pro_function_calling():
 # gemini_pro_function_calling()
 
 
+def test_gemini_pro_function_calling_streaming():
+    load_vertex_ai_credentials()
+    litellm.set_verbose = True
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_current_weather",
+                "description": "Get the current weather in a given location",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                        },
+                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                    },
+                    "required": ["location"],
+                },
+            },
+        }
+    ]
+    messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]
+    completion = litellm.completion(
+        model="gemini-pro",
+        messages=messages,
+        tools=tools,
+        tool_choice="auto",
+        stream=True,
+    )
+    print(f"completion: {completion}")
+    # assert completion.choices[0].message.content is None
+    # assert len(completion.choices[0].message.tool_calls) == 1
+    for chunk in completion:
+        print(f"chunk: {chunk}")
+
+    raise Exception("it worked!")
+
+
 @pytest.mark.asyncio
 async def test_gemini_pro_async_function_calling():
     load_vertex_ai_credentials()
diff --git a/litellm/utils.py b/litellm/utils.py
index d36ba4e1a4..e0b1f42172 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -9193,7 +9193,41 @@ class CustomStreamWrapper:
                 try:
                     if hasattr(chunk, "candidates") == True:
                         try:
-                            completion_obj["content"] = chunk.text
+                            try:
+                                completion_obj["content"] = chunk.text
+                            except Exception as e:
+                                if "Part has no text." in str(e):
+                                    ## check for function calling
+                                    function_call = (
+                                        chunk.candidates[0]
+                                        .content.parts[0]
+                                        .function_call
+                                    )
+                                    args_dict = {}
+                                    for k, v in function_call.args.items():
+                                        args_dict[k] = v
+                                    args_str = json.dumps(args_dict)
+                                    _delta_obj = litellm.utils.Delta(
+                                        content=None,
+                                        tool_calls=[
+                                            {
+                                                "id": f"call_{str(uuid.uuid4())}",
+                                                "function": {
+                                                    "arguments": args_str,
+                                                    "name": function_call.name,
+                                                },
+                                                "type": "function",
+                                            }
+                                        ],
+                                    )
+                                    _streaming_response = StreamingChoices(
+                                        delta=_delta_obj
+                                    )
+                                    _model_response = ModelResponse(stream=True)
+                                    _model_response.choices = [_streaming_response]
+                                    response_obj = {"original_chunk": _model_response}
+                                else:
+                                    raise e
                             if (
                                 hasattr(chunk.candidates[0], "finish_reason")
                                 and chunk.candidates[0].finish_reason.name
@@ -9204,7 +9238,7 @@ class CustomStreamWrapper:
                                         chunk.candidates[0].finish_reason.name
                                     )
                                 )
-                        except:
+                        except Exception as e:
                             if chunk.candidates[0].finish_reason.name == "SAFETY":
                                 raise Exception(
                                     f"The response was blocked by VertexAI. {str(chunk)}"