diff --git a/litellm/tests/test_dynamodb_logs.py b/litellm/tests/test_dynamodb_logs.py
new file mode 100644
index 000000000..82016cefc
--- /dev/null
+++ b/litellm/tests/test_dynamodb_logs.py
@@ -0,0 +1,169 @@
+import sys
+import os
+import io, asyncio
+# import logging
+# logging.basicConfig(level=logging.DEBUG)
+sys.path.insert(0, os.path.abspath('../..'))
+
+from litellm import completion
+import litellm
+litellm.num_retries = 3
+litellm.success_callback = ["dynamodb"]
+
+import time
+import pytest
+
+def test_dynamo_logging_async(): 
+    try: 
+        litellm.set_verbose = True
+        async def _test():
+            return await litellm.acompletion(
+                model="gpt-3.5-turbo",
+                messages=[{"role": "user", "content":"This is a test"}],
+                max_tokens=100,
+                temperature=0.7,
+                user = "ishaan-2"
+            )
+        response = asyncio.run(_test())
+        print(f"response: {response}")
+    except litellm.Timeout as e: 
+        pass
+    except Exception as e: 
+        pytest.fail(f"An exception occurred - {e}")
+
+# test_dynamo_logging_async()
+
+
+def test_dynamo_logging_async_stream(): 
+    try: 
+        litellm.set_verbose = True
+        async def _test():
+            response =  await litellm.acompletion(
+                model="gpt-3.5-turbo",
+                messages=[{"role": "user", "content":"This is a test"}],
+                max_tokens=100,
+                temperature=0.7,
+                user = "ishaan-2",
+                stream=True
+            )
+            async for chunk in response:
+                pass
+        asyncio.run(_test())
+    except litellm.Timeout as e: 
+        pass
+    except Exception as e: 
+        pytest.fail(f"An exception occurred - {e}")
+
+# test_dynamo_logging_async_stream()
+
+# @pytest.mark.skip(reason="beta test - checking langfuse output")
+# def test_langfuse_logging():
+#     try:
+#         pre_langfuse_setup()
+#         litellm.set_verbose = True
+#         response = completion(model="claude-instant-1.2",
+#                               messages=[{
+#                                   "role": "user",
+#                                   "content": "Hi 👋 - i'm claude"
+#                               }],
+#                               max_tokens=10,
+#                               temperature=0.2,
+#                               )
+#         print(response)
+#         # time.sleep(5)
+#         # # check langfuse.log to see if there was a failed response
+#         # search_logs("langfuse.log")
+
+#     except litellm.Timeout as e: 
+#         pass
+#     except Exception as e:
+#         pytest.fail(f"An exception occurred - {e}")
+
+# test_langfuse_logging()
+
+# @pytest.mark.skip(reason="beta test - checking langfuse output")
+# def test_langfuse_logging_stream():
+#     try:
+#         litellm.set_verbose=True
+#         response = completion(model="anyscale/meta-llama/Llama-2-7b-chat-hf",
+#                               messages=[{
+#                                   "role": "user",
+#                                   "content": "this is a streaming test for llama2 + langfuse"
+#                               }],
+#                               max_tokens=20,
+#                               temperature=0.2,
+#                               stream=True
+#                               )
+#         print(response)
+#         for chunk in response:
+#             pass
+#             # print(chunk)
+#     except litellm.Timeout as e: 
+#         pass
+#     except Exception as e:
+#         print(e)
+
+# # test_langfuse_logging_stream()
+
+# @pytest.mark.skip(reason="beta test - checking langfuse output")
+# def test_langfuse_logging_custom_generation_name():
+#     try:
+#         litellm.set_verbose=True
+#         response = completion(model="gpt-3.5-turbo",
+#                               messages=[{
+#                                   "role": "user",
+#                                   "content": "Hi 👋 - i'm claude"
+#                               }],
+#                               max_tokens=10,
+#                               metadata = {
+#                                     "langfuse/foo": "bar", 
+#                                     "langsmith/fizz": "buzz", 
+#                                     "prompt_hash": "asdf98u0j9131123"
+#                                 }
+#         )
+#         print(response)
+#     except litellm.Timeout as e: 
+#         pass
+#     except Exception as e:
+#         pytest.fail(f"An exception occurred - {e}")
+#         print(e)
+
+# # test_langfuse_logging_custom_generation_name()
+# @pytest.mark.skip(reason="beta test - checking langfuse output")
+# def test_langfuse_logging_function_calling():
+#     function1 = [
+#         {
+#             "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"],
+#             },
+#         }
+#     ]
+#     try:
+#         response = completion(model="gpt-3.5-turbo",
+#                               messages=[{
+#                                   "role": "user",
+#                                   "content": "what's the weather in boston"
+#                               }],
+#                               temperature=0.1,
+#                               functions=function1,
+#             )
+#         print(response)
+#     except litellm.Timeout as e: 
+#         pass
+#     except Exception as e:
+#         print(e)
+
+# # test_langfuse_logging_function_calling()
+
+
+