diff --git a/litellm/__pycache__/main.cpython-311.pyc b/litellm/__pycache__/main.cpython-311.pyc
index 2c5b0d3a41..5beb234ea4 100644
Binary files a/litellm/__pycache__/main.cpython-311.pyc and b/litellm/__pycache__/main.cpython-311.pyc differ
diff --git a/litellm/__pycache__/utils.cpython-311.pyc b/litellm/__pycache__/utils.cpython-311.pyc
index dee9000e5b..589af20d2e 100644
Binary files a/litellm/__pycache__/utils.cpython-311.pyc and b/litellm/__pycache__/utils.cpython-311.pyc differ
diff --git a/litellm/main.py b/litellm/main.py
index d376b2f253..d92124e71a 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -945,7 +945,7 @@ def embedding(
     try:
         response = None
         logging = litellm_logging_obj
-        logging.update_environment_variables(model=model, optional_params={}, litellm_params={"force_timeout": force_timeout, "azure": azure, "litellm_call_id": litellm_call_id, "logger_fn": logger_fn})
+        logging.update_environment_variables(model=model, user="", optional_params={}, litellm_params={"force_timeout": force_timeout, "azure": azure, "litellm_call_id": litellm_call_id, "logger_fn": logger_fn})
         if azure == True:
             # azure configs
             openai.api_type = "azure"
diff --git a/litellm/tests/test_client.py b/litellm/tests/test_client.py
index 499642c264..1da0a45546 100644
--- a/litellm/tests/test_client.py
+++ b/litellm/tests/test_client.py
@@ -12,7 +12,7 @@ import litellm
 from litellm import embedding, completion
 
 litellm.success_callback = ["posthog", "helicone"]
-litellm.failure_callback = ["slack", "sentry", "posthog"]
+litellm.failure_callback = ["sentry", "posthog"]
 
 litellm.set_verbose = True
 
diff --git a/litellm/tests/test_embedding.py b/litellm/tests/test_embedding.py
index 82f0c08ff3..cde73afc99 100644
--- a/litellm/tests/test_embedding.py
+++ b/litellm/tests/test_embedding.py
@@ -7,10 +7,8 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 import litellm
 from litellm import embedding, completion
-from infisical import InfisicalClient
 
 litellm.set_verbose = True
-# litellm.secret_manager_client = InfisicalClient(token=os.environ["INFISICAL_TOKEN"])
 
 
 def test_openai_embedding():
diff --git a/litellm/tests/test_model_fallback.py b/litellm/tests/test_model_fallback.py
index 82535f77a8..895588091e 100644
--- a/litellm/tests/test_model_fallback.py
+++ b/litellm/tests/test_model_fallback.py
@@ -11,7 +11,7 @@ import litellm
 from litellm import embedding, completion
 
 litellm.success_callback = ["posthog"]
-litellm.failure_callback = ["slack", "sentry", "posthog"]
+litellm.failure_callback = ["sentry", "posthog"]
 
 litellm.set_verbose = True
 
diff --git a/litellm/utils.py b/litellm/utils.py
index aae4d7f277..fe7564f718 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -438,12 +438,6 @@ def exception_logging(
 def client(original_function):
     global liteDebuggerClient, get_all_keys
 
-    def check_args(*args, **kwargs):
-        try:
-            model = args[0] if len(args) > 0 else kwargs["model"]
-        except:
-            raise ValueError("model param not passed in.")
-
     def function_setup(
         start_time, *args, **kwargs
     ):  # just run once to check if user wants to send their data anywhere - PostHog/Sentry/Slack/etc.
@@ -494,8 +488,9 @@ def client(original_function):
             stream = True if "stream" in kwargs and kwargs["stream"] == True else False
             logging_obj = Logging(model=model, messages=messages, stream=stream, litellm_call_id=kwargs["litellm_call_id"], function_id=function_id, call_type=call_type, start_time=start_time)
             return logging_obj
-        except:  # DO NOT BLOCK running the function because of this
+        except Exception as e:  # DO NOT BLOCK running the function because of this
             print_verbose(f"[Non-Blocking] {traceback.format_exc()}; args - {args}; kwargs - {kwargs}")
+            print(e)
         pass
     
     def crash_reporting(*args, **kwargs):
@@ -522,11 +517,10 @@ def client(original_function):
         result = None
         litellm_call_id = str(uuid.uuid4())
         kwargs["litellm_call_id"] = litellm_call_id
-        # check_args(*args, **kwargs)
-        try:
-            model = args[0] if len(args) > 0 else kwargs["model"]
-        except:
-            raise ValueError("model param not passed in.")
+        # try:
+        #     model = args[0] if len(args) > 0 else kwargs["model"]
+        # except:
+        #     raise ValueError("model param not passed in.")
 
         try:
             logging_obj = function_setup(start_time, *args, **kwargs)