diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 4ebc3060eb..1c096aac71 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -40,14 +40,11 @@ model_list:
     model_info:
       mode: completion
 
-
 litellm_settings:
   # setting callback class
   # callbacks: custom_callbacks.proxy_handler_instance # sets litellm.callbacks = [proxy_handler_instance]
+  model_group_alias_map: {"gpt-4": "openai-gpt-3.5"} # all requests with gpt-4 model_name, get sent to openai-gpt-3.5
 
-  # setting a callback function for success and failure
-  success_callback: [custom_callbacks.async_on_succes_logger]
-  failure_callback: [custom_callbacks.async_on_fail_logger]
 
 general_settings: 
   # otel: True          # OpenTelemetry Logger
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 08918925b0..256e77444a 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -944,6 +944,8 @@ async def chat_completion(request: Request, model: Optional[str] = None, user_ap
                 response = await llm_router.acompletion(**data)
         elif llm_router is not None and data["model"] in llm_router.deployment_names: # model in router deployments, calling a specific deployment on the router
             response = await llm_router.acompletion(**data, specific_deployment = True)
+        elif llm_router is not None and data["model"] in litellm.model_group_alias_map: # model set in model_group_alias_map
+            response = await llm_router.acompletion(**data)
         else: # router is not set
             response = await litellm.acompletion(**data)
         if 'stream' in data and data['stream'] == True: # use generate_responses to stream responses