diff --git a/llama_stack/apis/vector_io/vector_io.py b/llama_stack/apis/vector_io/vector_io.py
index e07175c49..f688be8a4 100644
--- a/llama_stack/apis/vector_io/vector_io.py
+++ b/llama_stack/apis/vector_io/vector_io.py
@@ -11,8 +11,6 @@
 import uuid
 from typing import Annotated, Any, Literal, Protocol, runtime_checkable
 
-from pydantic import BaseModel, Field
-
 from llama_stack.apis.inference import InterleavedContent
 from llama_stack.apis.vector_dbs import VectorDB
 from llama_stack.apis.version import LLAMA_STACK_API_V1
@@ -21,6 +19,8 @@ from llama_stack.providers.utils.vector_io.vector_utils import generate_chunk_id
 from llama_stack.schema_utils import json_schema_type, webmethod
 from llama_stack.strong_typing.schema import register_schema
 
+from pydantic import BaseModel, Field
+
 
 @json_schema_type
 class ChunkMetadata(BaseModel):
@@ -350,7 +350,12 @@ class VectorStoreFileLastError(BaseModel):
     message: str
 
 
-VectorStoreFileStatus = Literal["completed"] | Literal["in_progress"] | Literal["cancelled"] | Literal["failed"]
+VectorStoreFileStatus = (
+    Literal["completed"]
+    | Literal["in_progress"]
+    | Literal["cancelled"]
+    | Literal["failed"]
+)
 register_schema(VectorStoreFileStatus, name="VectorStoreFileStatus")
 
 
@@ -556,7 +561,9 @@ class VectorIO(Protocol):
         """
         ...
 
-    @webmethod(route="/vector_stores/{vector_store_id}", method="GET", level=LLAMA_STACK_API_V1)
+    @webmethod(
+        route="/vector_stores/{vector_store_id}", method="GET", level=LLAMA_STACK_API_V1
+    )
     async def openai_retrieve_vector_store(
         self,
         vector_store_id: str,