diff --git a/litellm/tests/test_logging.py b/litellm/tests/test_logging.py
index 92514daf9d6..7187193ad9d 100644
--- a/litellm/tests/test_logging.py
+++ b/litellm/tests/test_logging.py
@@ -64,319 +64,319 @@ def test_logging_success_completion():
         pytest.fail(f"Error occurred: {e}")
         pass
 
-## test on non-openai completion call
-def test_logging_success_completion_non_openai():
-    global score
-    try:
-        # Redirect stdout
-        old_stdout = sys.stdout
-        sys.stdout = new_stdout = io.StringIO()
-
-        response = completion(model="claude-instant-1", messages=messages)
-        
-        # Restore stdout
-        sys.stdout = old_stdout
-        output = new_stdout.getvalue().strip()
-
-        if "Logging Details Pre-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details Post-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details LiteLLM-Success Call" not in output:
-            raise Exception("Required log message not found!")
-        score += 1
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-        pass
-
-# streaming completion
-## test on openai completion call
-def test_logging_success_streaming_openai():
-    global score
-    try:
-        # litellm.set_verbose = False
-        def custom_callback(
-            kwargs,                 # kwargs to completion
-            completion_response,    # response from completion
-            start_time, end_time    # start/end time
-        ):
-            if "complete_streaming_response" in kwargs: 
-                print(f"Complete Streaming Response: {kwargs['complete_streaming_response']}")
-        
-        # Assign the custom callback function
-        litellm.success_callback = [custom_callback]
-
-        # Redirect stdout
-        old_stdout = sys.stdout
-        sys.stdout = new_stdout = io.StringIO()
-
-        response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-        for chunk in response: 
-            pass
-
-        # Restore stdout
-        sys.stdout = old_stdout
-        output = new_stdout.getvalue().strip()
-
-        if "Logging Details Pre-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details Post-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details LiteLLM-Success Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Complete Streaming Response:" not in output:
-            raise Exception("Required log message not found!")
-        score += 1
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-        pass
-
-# test_logging_success_streaming_openai() 
-
-## test on non-openai completion call
-def test_logging_success_streaming_non_openai():
-    global score
-    try:
-        # litellm.set_verbose = False
-        def custom_callback(
-            kwargs,                 # kwargs to completion
-            completion_response,    # response from completion
-            start_time, end_time    # start/end time
-        ):
-            # print(f"streaming response: {completion_response}")
-            if "complete_streaming_response" in kwargs: 
-                print(f"Complete Streaming Response: {kwargs['complete_streaming_response']}")
-        
-        # Assign the custom callback function
-        litellm.success_callback = [custom_callback]
-
-        # Redirect stdout
-        old_stdout = sys.stdout
-        sys.stdout = new_stdout = io.StringIO()
-
-        response = completion(model="claude-instant-1", messages=messages, stream=True)
-        for idx, chunk in enumerate(response): 
-            pass
-        
-        # Restore stdout
-        sys.stdout = old_stdout
-        output = new_stdout.getvalue().strip()
-
-        if "Logging Details Pre-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details Post-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details LiteLLM-Success Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Complete Streaming Response:" not in output:
-            raise Exception(f"Required log message not found! {output}")
-        score += 1
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-        pass
-
-# test_logging_success_streaming_non_openai() 
-# embedding
-
-def test_logging_success_embedding_openai():
-    try:
-        # Redirect stdout
-        old_stdout = sys.stdout
-        sys.stdout = new_stdout = io.StringIO()
-
-        response = embedding(model="text-embedding-ada-002", input=["good morning from litellm"])
-
-        # Restore stdout
-        sys.stdout = old_stdout
-        output = new_stdout.getvalue().strip()
-
-        if "Logging Details Pre-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details Post-API Call" not in output:
-            raise Exception("Required log message not found!")
-        elif "Logging Details LiteLLM-Success Call" not in output:
-            raise Exception("Required log message not found!")
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-
-# ## 2. On LiteLLM Call failure
-# ## TEST BAD KEY
-
-# # normal completion 
-# ## test on openai completion call
-# try:
-#     temporary_oai_key = os.environ["OPENAI_API_KEY"]
-#     os.environ["OPENAI_API_KEY"] = "bad-key"
-
-#     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
-#     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
-
-
-#     # Redirect stdout
-#     old_stdout = sys.stdout
-#     sys.stdout = new_stdout = io.StringIO()
-    
-#     try:
-#         response = completion(model="gpt-3.5-turbo", messages=messages)
-#     except AuthenticationError:
-#         print(f"raised auth error")
-#         pass
-#     # Restore stdout
-#     sys.stdout = old_stdout
-#     output = new_stdout.getvalue().strip()
-
-#     print(output)
-
-#     if "Logging Details Pre-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details Post-API Call" not in output: 
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details LiteLLM-Failure Call" not in output:
-#         raise Exception("Required log message not found!")
-
-#     os.environ["OPENAI_API_KEY"] = temporary_oai_key
-#     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
-    
-#     score += 1
-# except Exception as e:
-#     print(f"exception type: {type(e).__name__}")
-#     pytest.fail(f"Error occurred: {e}")
-#     pass
-
 # ## test on non-openai completion call
-# try:
-#     temporary_oai_key = os.environ["OPENAI_API_KEY"]
-#     os.environ["OPENAI_API_KEY"] = "bad-key"
-
-#     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
-#     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
-#     # Redirect stdout
-#     old_stdout = sys.stdout
-#     sys.stdout = new_stdout = io.StringIO()
-
+# def test_logging_success_completion_non_openai():
+#     global score
 #     try:
+#         # Redirect stdout
+#         old_stdout = sys.stdout
+#         sys.stdout = new_stdout = io.StringIO()
+
 #         response = completion(model="claude-instant-1", messages=messages)
-#     except AuthenticationError:
+        
+#         # Restore stdout
+#         sys.stdout = old_stdout
+#         output = new_stdout.getvalue().strip()
+
+#         if "Logging Details Pre-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details Post-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details LiteLLM-Success Call" not in output:
+#             raise Exception("Required log message not found!")
+#         score += 1
+#     except Exception as e:
+#         pytest.fail(f"Error occurred: {e}")
 #         pass
 
-#     if "Logging Details Pre-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details Post-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details LiteLLM-Failure Call" not in output:
-#         raise Exception("Required log message not found!")
-#     os.environ["OPENAI_API_KEY"] = temporary_oai_key
-#     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
-#     score += 1
-# except Exception as e:
-#     print(f"exception type: {type(e).__name__}")
-#     # Restore stdout
-#     sys.stdout = old_stdout
-#     output = new_stdout.getvalue().strip()
-
-#     print(output)
-#     pytest.fail(f"Error occurred: {e}")
-
-
 # # streaming completion
 # ## test on openai completion call
-# try:
-#     temporary_oai_key = os.environ["OPENAI_API_KEY"]
-#     os.environ["OPENAI_API_KEY"] = "bad-key"
-
-#     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
-#     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
-#     # Redirect stdout
-#     old_stdout = sys.stdout
-#     sys.stdout = new_stdout = io.StringIO()
-
+# def test_logging_success_streaming_openai():
+#     global score
 #     try:
-#         response = completion(model="gpt-3.5-turbo", messages=messages)
-#     except AuthenticationError:
+#         # litellm.set_verbose = False
+#         def custom_callback(
+#             kwargs,                 # kwargs to completion
+#             completion_response,    # response from completion
+#             start_time, end_time    # start/end time
+#         ):
+#             if "complete_streaming_response" in kwargs: 
+#                 print(f"Complete Streaming Response: {kwargs['complete_streaming_response']}")
+        
+#         # Assign the custom callback function
+#         litellm.success_callback = [custom_callback]
+
+#         # Redirect stdout
+#         old_stdout = sys.stdout
+#         sys.stdout = new_stdout = io.StringIO()
+
+#         response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
+#         for chunk in response: 
+#             pass
+
+#         # Restore stdout
+#         sys.stdout = old_stdout
+#         output = new_stdout.getvalue().strip()
+
+#         if "Logging Details Pre-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details Post-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details LiteLLM-Success Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Complete Streaming Response:" not in output:
+#             raise Exception("Required log message not found!")
+#         score += 1
+#     except Exception as e:
+#         pytest.fail(f"Error occurred: {e}")
 #         pass
 
-#     # Restore stdout
-#     sys.stdout = old_stdout
-#     output = new_stdout.getvalue().strip()
-
-#     print(output)
-
-#     if "Logging Details Pre-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details Post-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details LiteLLM-Failure Call" not in output:
-#         raise Exception("Required log message not found!")
-    
-#     os.environ["OPENAI_API_KEY"] = temporary_oai_key
-#     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
-#     score += 1
-# except Exception as e:
-#     print(f"exception type: {type(e).__name__}")
-#     pytest.fail(f"Error occurred: {e}")
+# # test_logging_success_streaming_openai() 
 
 # ## test on non-openai completion call
-# try:
-#     temporary_oai_key = os.environ["OPENAI_API_KEY"]
-#     os.environ["OPENAI_API_KEY"] = "bad-key"
-
-#     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
-#     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
-#     # Redirect stdout
-#     old_stdout = sys.stdout
-#     sys.stdout = new_stdout = io.StringIO()
-
+# def test_logging_success_streaming_non_openai():
+#     global score
 #     try:
-#         response = completion(model="claude-instant-1", messages=messages)
-#     except AuthenticationError:
+#         # litellm.set_verbose = False
+#         def custom_callback(
+#             kwargs,                 # kwargs to completion
+#             completion_response,    # response from completion
+#             start_time, end_time    # start/end time
+#         ):
+#             # print(f"streaming response: {completion_response}")
+#             if "complete_streaming_response" in kwargs: 
+#                 print(f"Complete Streaming Response: {kwargs['complete_streaming_response']}")
+        
+#         # Assign the custom callback function
+#         litellm.success_callback = [custom_callback]
+
+#         # Redirect stdout
+#         old_stdout = sys.stdout
+#         sys.stdout = new_stdout = io.StringIO()
+
+#         response = completion(model="claude-instant-1", messages=messages, stream=True)
+#         for idx, chunk in enumerate(response): 
+#             pass
+        
+#         # Restore stdout
+#         sys.stdout = old_stdout
+#         output = new_stdout.getvalue().strip()
+
+#         if "Logging Details Pre-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details Post-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details LiteLLM-Success Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Complete Streaming Response:" not in output:
+#             raise Exception(f"Required log message not found! {output}")
+#         score += 1
+#     except Exception as e:
+#         pytest.fail(f"Error occurred: {e}")
 #         pass
-    
-#     # Restore stdout
-#     sys.stdout = old_stdout
-#     output = new_stdout.getvalue().strip()
-
-#     print(output)
-
-#     if "Logging Details Pre-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details Post-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details LiteLLM-Failure Call" not in output:
-#         raise Exception("Required log message not found!")
-#     score += 1
-# except Exception as e:
-#     print(f"exception type: {type(e).__name__}")
-#     pytest.fail(f"Error occurred: {e}")
 
+# # test_logging_success_streaming_non_openai() 
 # # embedding
 
-# try:
-#     temporary_oai_key = os.environ["OPENAI_API_KEY"]
-#     os.environ["OPENAI_API_KEY"] = "bad-key"
-
-#     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
-#     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
-#     # Redirect stdout
-#     old_stdout = sys.stdout
-#     sys.stdout = new_stdout = io.StringIO()
-
+# def test_logging_success_embedding_openai():
 #     try:
+#         # Redirect stdout
+#         old_stdout = sys.stdout
+#         sys.stdout = new_stdout = io.StringIO()
+
 #         response = embedding(model="text-embedding-ada-002", input=["good morning from litellm"])
-#     except AuthenticationError:
-#         pass
 
-#     # Restore stdout
-#     sys.stdout = old_stdout
-#     output = new_stdout.getvalue().strip()
+#         # Restore stdout
+#         sys.stdout = old_stdout
+#         output = new_stdout.getvalue().strip()
 
-#     print(output)
+#         if "Logging Details Pre-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details Post-API Call" not in output:
+#             raise Exception("Required log message not found!")
+#         elif "Logging Details LiteLLM-Success Call" not in output:
+#             raise Exception("Required log message not found!")
+#     except Exception as e:
+#         pytest.fail(f"Error occurred: {e}")
 
-#     if "Logging Details Pre-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details Post-API Call" not in output:
-#         raise Exception("Required log message not found!")
-#     elif "Logging Details LiteLLM-Failure Call" not in output:
-#         raise Exception("Required log message not found!")
-# except Exception as e:
-#     print(f"exception type: {type(e).__name__}")
-#     pytest.fail(f"Error occurred: {e}")
\ No newline at end of file
+# # ## 2. On LiteLLM Call failure
+# # ## TEST BAD KEY
+
+# # # normal completion 
+# # ## test on openai completion call
+# # try:
+# #     temporary_oai_key = os.environ["OPENAI_API_KEY"]
+# #     os.environ["OPENAI_API_KEY"] = "bad-key"
+
+# #     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+# #     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+
+
+# #     # Redirect stdout
+# #     old_stdout = sys.stdout
+# #     sys.stdout = new_stdout = io.StringIO()
+    
+# #     try:
+# #         response = completion(model="gpt-3.5-turbo", messages=messages)
+# #     except AuthenticationError:
+# #         print(f"raised auth error")
+# #         pass
+# #     # Restore stdout
+# #     sys.stdout = old_stdout
+# #     output = new_stdout.getvalue().strip()
+
+# #     print(output)
+
+# #     if "Logging Details Pre-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details Post-API Call" not in output: 
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details LiteLLM-Failure Call" not in output:
+# #         raise Exception("Required log message not found!")
+
+# #     os.environ["OPENAI_API_KEY"] = temporary_oai_key
+# #     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
+    
+# #     score += 1
+# # except Exception as e:
+# #     print(f"exception type: {type(e).__name__}")
+# #     pytest.fail(f"Error occurred: {e}")
+# #     pass
+
+# # ## test on non-openai completion call
+# # try:
+# #     temporary_oai_key = os.environ["OPENAI_API_KEY"]
+# #     os.environ["OPENAI_API_KEY"] = "bad-key"
+
+# #     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+# #     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+# #     # Redirect stdout
+# #     old_stdout = sys.stdout
+# #     sys.stdout = new_stdout = io.StringIO()
+
+# #     try:
+# #         response = completion(model="claude-instant-1", messages=messages)
+# #     except AuthenticationError:
+# #         pass
+
+# #     if "Logging Details Pre-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details Post-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details LiteLLM-Failure Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     os.environ["OPENAI_API_KEY"] = temporary_oai_key
+# #     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
+# #     score += 1
+# # except Exception as e:
+# #     print(f"exception type: {type(e).__name__}")
+# #     # Restore stdout
+# #     sys.stdout = old_stdout
+# #     output = new_stdout.getvalue().strip()
+
+# #     print(output)
+# #     pytest.fail(f"Error occurred: {e}")
+
+
+# # # streaming completion
+# # ## test on openai completion call
+# # try:
+# #     temporary_oai_key = os.environ["OPENAI_API_KEY"]
+# #     os.environ["OPENAI_API_KEY"] = "bad-key"
+
+# #     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+# #     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+# #     # Redirect stdout
+# #     old_stdout = sys.stdout
+# #     sys.stdout = new_stdout = io.StringIO()
+
+# #     try:
+# #         response = completion(model="gpt-3.5-turbo", messages=messages)
+# #     except AuthenticationError:
+# #         pass
+
+# #     # Restore stdout
+# #     sys.stdout = old_stdout
+# #     output = new_stdout.getvalue().strip()
+
+# #     print(output)
+
+# #     if "Logging Details Pre-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details Post-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details LiteLLM-Failure Call" not in output:
+# #         raise Exception("Required log message not found!")
+    
+# #     os.environ["OPENAI_API_KEY"] = temporary_oai_key
+# #     os.environ["ANTHROPIC_API_KEY"] = temporary_anthropic_key
+# #     score += 1
+# # except Exception as e:
+# #     print(f"exception type: {type(e).__name__}")
+# #     pytest.fail(f"Error occurred: {e}")
+
+# # ## test on non-openai completion call
+# # try:
+# #     temporary_oai_key = os.environ["OPENAI_API_KEY"]
+# #     os.environ["OPENAI_API_KEY"] = "bad-key"
+
+# #     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+# #     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+# #     # Redirect stdout
+# #     old_stdout = sys.stdout
+# #     sys.stdout = new_stdout = io.StringIO()
+
+# #     try:
+# #         response = completion(model="claude-instant-1", messages=messages)
+# #     except AuthenticationError:
+# #         pass
+    
+# #     # Restore stdout
+# #     sys.stdout = old_stdout
+# #     output = new_stdout.getvalue().strip()
+
+# #     print(output)
+
+# #     if "Logging Details Pre-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details Post-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details LiteLLM-Failure Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     score += 1
+# # except Exception as e:
+# #     print(f"exception type: {type(e).__name__}")
+# #     pytest.fail(f"Error occurred: {e}")
+
+# # # embedding
+
+# # try:
+# #     temporary_oai_key = os.environ["OPENAI_API_KEY"]
+# #     os.environ["OPENAI_API_KEY"] = "bad-key"
+
+# #     temporary_anthropic_key = os.environ["ANTHROPIC_API_KEY"]
+# #     os.environ["ANTHROPIC_API_KEY"] = "bad-key"
+# #     # Redirect stdout
+# #     old_stdout = sys.stdout
+# #     sys.stdout = new_stdout = io.StringIO()
+
+# #     try:
+# #         response = embedding(model="text-embedding-ada-002", input=["good morning from litellm"])
+# #     except AuthenticationError:
+# #         pass
+
+# #     # Restore stdout
+# #     sys.stdout = old_stdout
+# #     output = new_stdout.getvalue().strip()
+
+# #     print(output)
+
+# #     if "Logging Details Pre-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details Post-API Call" not in output:
+# #         raise Exception("Required log message not found!")
+# #     elif "Logging Details LiteLLM-Failure Call" not in output:
+# #         raise Exception("Required log message not found!")
+# # except Exception as e:
+# #     print(f"exception type: {type(e).__name__}")
+# #     pytest.fail(f"Error occurred: {e}")
\ No newline at end of file