diff --git a/litellm/integrations/traceloop.py b/litellm/integrations/traceloop.py
index 33b9c92da..019f77771 100644
--- a/litellm/integrations/traceloop.py
+++ b/litellm/integrations/traceloop.py
@@ -11,7 +11,7 @@ class TraceloopLogger:
 
         try:
             tracer = self.tracer_wrapper.get_tracer()
-
+    
             model = kwargs.get("model")
 
             # LiteLLM uses the standard OpenAI library, so it's already handled by Traceloop SDK
diff --git a/litellm/llms/azure.py b/litellm/llms/azure.py
index 70036ae74..2be62ebc1 100644
--- a/litellm/llms/azure.py
+++ b/litellm/llms/azure.py
@@ -294,6 +294,12 @@ class AzureChatCompletion(BaseLLM):
             azure_client = AzureOpenAI(**azure_client_params)
         else:
             azure_client = client
+        ## LOGGING
+        logging_obj.pre_call(
+            input=data['messages'],
+            api_key=azure_client.api_key,
+            additional_args={"headers": {"Authorization": f"Bearer {azure_client.api_key}"}, "api_base": azure_client._base_url._uri_reference, "acompletion": True, "complete_input_dict": data},
+        )
         response = azure_client.chat.completions.create(**data)
         streamwrapper = CustomStreamWrapper(completion_stream=response, model=model, custom_llm_provider="azure",logging_obj=logging_obj)
         return streamwrapper