diff --git a/litellm/proxy/hooks/parallel_request_limiter.py b/litellm/proxy/hooks/parallel_request_limiter.py
index 0a38e5eded..30877daf39 100644
--- a/litellm/proxy/hooks/parallel_request_limiter.py
+++ b/litellm/proxy/hooks/parallel_request_limiter.py
@@ -186,4 +186,4 @@ class MaxParallelRequestsHandler(CustomLogger):
                     request_count_api_key, new_val, ttl=60
                 )  # save in cache for up to 1 min.
         except Exception as e:
-            self.print_verbose(f"An exception occurred - {str(e)}")  # noqa
+            print(f"An exception occurred - {str(e)}")  # noqa
diff --git a/litellm/utils.py b/litellm/utils.py
index dbfbf46ecb..325139d9d4 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -773,7 +773,7 @@ class Logging:
         self.model = model
         self.user = user
         self.litellm_params = litellm_params
-        self.logger_fn = litellm_params["logger_fn"]
+        self.logger_fn = litellm_params.get("logger_fn", None)
         print_verbose(f"self.optional_params: {self.optional_params}")
         self.model_call_details = {
             "model": self.model,
@@ -1941,6 +1941,15 @@ def client(original_function):
                 call_type=call_type,
                 start_time=start_time,
             )
+            ## check if metadata is passed in
+            if "metadata" in kwargs:
+                litellm_params = {"metadata": kwargs["metadata"]}
+                logging_obj.update_environment_variables(
+                    model=model,
+                    user="",
+                    optional_params={},
+                    litellm_params=litellm_params,
+                )
             return logging_obj
         except Exception as e:
             import logging
@@ -5731,15 +5740,6 @@ def exception_type(
                             model=model,
                             llm_provider="openai",
                         )
-                    else:
-                        exception_mapping_worked = True
-                        raise APIError(
-                            status_code=original_exception.status_code,
-                            message=f"OpenAIException - {original_exception.message}",
-                            llm_provider="openai",
-                            model=model,
-                            request=original_exception.request,
-                        )
                 else:
                     # if no status code then it is an APIConnectionError: https://github.com/openai/openai-python#handling-errors
                     raise APIConnectionError(