diff --git a/tests/test_litellm/proxy/test_proxy_utils.py b/tests/test_litellm/proxy/test_proxy_utils.py
index 9506275be51..bc86d3311af 100644
--- a/tests/test_litellm/proxy/test_proxy_utils.py
+++ b/tests/test_litellm/proxy/test_proxy_utils.py
@@ -1,7 +1,6 @@
 import datetime as real_datetime
 import smtplib
 from typing import Final
-from unittest.mock import MagicMock, patch
 
 import pytest
 from fastapi import HTTPException
@@ -10,10 +9,15 @@ from litellm.caching.caching import DualCache
 from litellm.integrations.custom_guardrail import CustomGuardrail
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy._types import ProxyErrorTypes, UserAPIKeyAuth
-from litellm.proxy.utils import PrismaClient, ProxyLogging, get_custom_url, join_paths
+from litellm.proxy.utils import PrismaClient, ProxyLogging
 from litellm.types.guardrails import GuardrailEventHooks
 
 
+from unittest.mock import MagicMock, patch
+
+from litellm.proxy.utils import get_custom_url, join_paths
+
+
 def test_get_custom_url(monkeypatch):
     monkeypatch.setenv("SERVER_ROOT_PATH", "/litellm")
     custom_url = get_custom_url(request_base_url="http://0.0.0.0:4000", route="ui/")
@@ -2139,7 +2143,9 @@ def test_create_model_info_response_resolves_alias_to_deployment_model():
             ]
         )
 
-        response = create_model_info_response(model_id="bedrock-claude-opus-5", provider="openai", llm_router=router)
+        response = create_model_info_response(
+            model_id="bedrock-claude-opus-5", provider="openai", llm_router=router
+        )
     finally:
         litellm.model_cost.clear()
         litellm.model_cost.update(saved_model_cost)
@@ -2168,7 +2174,9 @@ def test_create_model_info_response_keeps_exact_alias_over_generalized_deploymen
             ]
         )
 
-        response = create_model_info_response(model_id="claude-opus-5", provider="openai", llm_router=router)
+        response = create_model_info_response(
+            model_id="claude-opus-5", provider="openai", llm_router=router
+        )
     finally:
         litellm.model_cost.clear()
         litellm.model_cost.update(saved_model_cost)
@@ -2192,7 +2200,9 @@ def test_create_model_info_response_falls_back_to_alias_for_opaque_deployment_na
             ]
         )
 
-        response = create_model_info_response(model_id="gpt-4o", provider="openai", llm_router=router)
+        response = create_model_info_response(
+            model_id="gpt-4o", provider="openai", llm_router=router
+        )
     finally:
         litellm.model_cost.clear()
         litellm.model_cost.update(saved_model_cost)
@@ -2217,7 +2227,9 @@ def test_create_model_info_response_resolves_mode_through_deployment_model():
             ]
         )
 
-        response = create_model_info_response(model_id="my-embeddings", provider="openai", llm_router=router)
+        response = create_model_info_response(
+            model_id="my-embeddings", provider="openai", llm_router=router
+        )
     finally:
         litellm.model_cost.clear()
         litellm.model_cost.update(saved_model_cost)
@@ -2295,9 +2307,7 @@ async def test_post_call_failure_hook_redacts_traceback_before_callbacks(monkeyp
     with patch.object(proxy_logging_obj, "update_request_status", new=AsyncMock()):
         await proxy_logging_obj.post_call_failure_hook(
             request_data={"metadata": {}},
-            original_exception=HTTPException(
-                status_code=400, detail="Upstream passthrough request failed with status 400"
-            ),
+            original_exception=HTTPException(status_code=400, detail="Upstream passthrough request failed with status 400"),
             user_api_key_dict=UserAPIKeyAuth(),
             traceback_str=upstream_traceback,
         )