diff --git a/litellm/integrations/gcs_bucket/gcs_bucket.py b/litellm/integrations/gcs_bucket/gcs_bucket.py
index 3d99c025711..172185fff25 100644
--- a/litellm/integrations/gcs_bucket/gcs_bucket.py
+++ b/litellm/integrations/gcs_bucket/gcs_bucket.py
@@ -29,7 +29,7 @@ else:
 class GCSLoggingConfig(TypedDict):
     bucket_name: str
     vertex_instance: VertexBase
-    path_service_account: str
+    path_service_account: Optional[str]
 
 
 class GCSBucketLogger(GCSBucketBase):
@@ -173,7 +173,7 @@ class GCSBucketLogger(GCSBucketBase):
         )
 
         bucket_name: str
-        path_service_account: str
+        path_service_account: Optional[str]
         if standard_callback_dynamic_params is not None:
             verbose_logger.debug("Using dynamic GCS logging")
             verbose_logger.debug(
@@ -193,10 +193,6 @@ class GCSBucketLogger(GCSBucketBase):
                 raise ValueError(
                     "GCS_BUCKET_NAME is not set in the environment, but GCS Bucket is being used as a logging callback. Please set 'GCS_BUCKET_NAME' in the environment."
                 )
-            if _path_service_account is None:
-                raise ValueError(
-                    "GCS_PATH_SERVICE_ACCOUNT is not set in the environment, but GCS Bucket is being used as a logging callback. Please set 'GCS_PATH_SERVICE_ACCOUNT' in the environment."
-                )
             bucket_name = _bucket_name
             path_service_account = _path_service_account
             vertex_instance = await self.get_or_create_vertex_instance(
@@ -208,10 +204,6 @@ class GCSBucketLogger(GCSBucketBase):
                 raise ValueError(
                     "GCS_BUCKET_NAME is not set in the environment, but GCS Bucket is being used as a logging callback. Please set 'GCS_BUCKET_NAME' in the environment."
                 )
-            if self.path_service_account_json is None:
-                raise ValueError(
-                    "GCS_PATH_SERVICE_ACCOUNT is not set in the environment, but GCS Bucket is being used as a logging callback. Please set 'GCS_PATH_SERVICE_ACCOUNT' in the environment."
-                )
             bucket_name = self.BUCKET_NAME
             path_service_account = self.path_service_account_json
             vertex_instance = await self.get_or_create_vertex_instance(
@@ -224,7 +216,9 @@ class GCSBucketLogger(GCSBucketBase):
             path_service_account=path_service_account,
         )
 
-    async def get_or_create_vertex_instance(self, credentials: str) -> VertexBase:
+    async def get_or_create_vertex_instance(
+        self, credentials: Optional[str]
+    ) -> VertexBase:
         """
         This function is used to get the Vertex instance for the GCS Bucket Logger.
         It checks if the Vertex instance is already created and cached, if not it creates a new instance and caches it.
@@ -233,6 +227,9 @@ class GCSBucketLogger(GCSBucketBase):
             VertexBase,
         )
 
+        if credentials is None:
+            credentials = "IAM_AUTH"
+
         if credentials not in self.vertex_instances:
             vertex_instance = VertexBase()
             await vertex_instance._ensure_access_token_async(
diff --git a/litellm/integrations/gcs_bucket/gcs_bucket_base.py b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
index dac0790b65b..56df3aa8094 100644
--- a/litellm/integrations/gcs_bucket/gcs_bucket_base.py
+++ b/litellm/integrations/gcs_bucket/gcs_bucket_base.py
@@ -33,7 +33,7 @@ class GCSBucketBase(CustomLogger):
 
     async def construct_request_headers(
         self,
-        service_account_json: str,
+        service_account_json: Optional[str],
         vertex_instance: Optional[VertexBase] = None,
     ) -> Dict[str, str]:
         from litellm import vertex_chat_completion
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index f3edf79d019..a54e6a3b6a8 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -5,7 +5,6 @@ model_list:
       api_key: os.environ/OPENAI_API_KEY
       api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
-
-general_settings: 
-    alerting: ["slack"]
-    alerting_threshold: 0.001
+general_settings:
+  store_model_in_db: true
+  public_routes: ["LiteLLMRoutes.public_routes", "/spend/calculate", "/model/info"]