diff --git a/litellm/llms/vertex_ai.py b/litellm/llms/vertex_ai.py
index fdbc1625e..f4447a9e9 100644
--- a/litellm/llms/vertex_ai.py
+++ b/litellm/llms/vertex_ai.py
@@ -1000,12 +1000,15 @@ async def async_streaming(
         if stream:
             response = TextStreamer(completion_response)
 
+    logging_obj.post_call(input=prompt, api_key=None, original_response=response)
+
     streamwrapper = CustomStreamWrapper(
         completion_stream=response,
         model=model,
         custom_llm_provider="vertex_ai",
         logging_obj=logging_obj,
     )
+
     return streamwrapper
 
 
diff --git a/litellm/tests/test_custom_callback_input.py b/litellm/tests/test_custom_callback_input.py
index 5da46ffee..ca1fe19a9 100644
--- a/litellm/tests/test_custom_callback_input.py
+++ b/litellm/tests/test_custom_callback_input.py
@@ -600,6 +600,81 @@ async def test_async_chat_sagemaker_stream():
         pytest.fail(f"An exception occurred: {str(e)}")
 
 
+## Test Vertex AI + Async
+import json
+import tempfile
+
+
+def load_vertex_ai_credentials():
+    # Define the path to the vertex_key.json file
+    print("loading vertex ai credentials")
+    filepath = os.path.dirname(os.path.abspath(__file__))
+    vertex_key_path = filepath + "/vertex_key.json"
+
+    # Read the existing content of the file or create an empty dictionary
+    try:
+        with open(vertex_key_path, "r") as file:
+            # Read the file content
+            print("Read vertexai file path")
+            content = file.read()
+
+            # If the file is empty or not valid JSON, create an empty dictionary
+            if not content or not content.strip():
+                service_account_key_data = {}
+            else:
+                # Attempt to load the existing JSON content
+                file.seek(0)
+                service_account_key_data = json.load(file)
+    except FileNotFoundError:
+        # If the file doesn't exist, create an empty dictionary
+        service_account_key_data = {}
+
+    # Update the service_account_key_data with environment variables
+    private_key_id = os.environ.get("VERTEX_AI_PRIVATE_KEY_ID", "")
+    private_key = os.environ.get("VERTEX_AI_PRIVATE_KEY", "")
+    private_key = private_key.replace("\\n", "\n")
+    service_account_key_data["private_key_id"] = private_key_id
+    service_account_key_data["private_key"] = private_key
+
+    # Create a temporary file
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False) as temp_file:
+        # Write the updated content to the temporary file
+        json.dump(service_account_key_data, temp_file, indent=2)
+
+    # Export the temporary file as GOOGLE_APPLICATION_CREDENTIALS
+    os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = os.path.abspath(temp_file.name)
+
+
+@pytest.mark.asyncio
+async def test_async_chat_vertex_ai_stream():
+    try:
+        load_vertex_ai_credentials()
+        customHandler = CompletionCustomHandler()
+        litellm.callbacks = [customHandler]
+        # test streaming
+        response = await litellm.acompletion(
+            model="gemini-pro",
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Hi 👋 - i'm async vertex_ai {uuid.uuid4()}",
+                }
+            ],
+            stream=True,
+        )
+        print(f"response: {response}")
+        async for chunk in response:
+            print(f"chunk: {chunk}")
+            continue
+        print(f"customHandler.states: {customHandler.states}")
+        assert (
+            customHandler.states.count("async_success") == 1
+        )  # pre, post, success, pre, post, failure
+        assert len(customHandler.states) >= 3  # pre, post, success
+    except Exception as e:
+        pytest.fail(f"An exception occurred: {str(e)}")
+
+
 # Text Completion