diff --git a/litellm/llms/infinity/embedding/transformation.py b/litellm/llms/infinity/embedding/transformation.py
index 6c993c3f91..824dcd38da 100644
--- a/litellm/llms/infinity/embedding/transformation.py
+++ b/litellm/llms/infinity/embedding/transformation.py
@@ -18,9 +18,17 @@ class InfinityEmbeddingConfig(BaseEmbeddingConfig):
     """
 
     def __init__(self) -> None:
-        pass 
+        pass
 
-    def get_complete_url(self, api_base: str | None, api_key: str | None, model: str, optional_params: dict, litellm_params: dict, stream: bool | None = None) -> str:
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        api_key: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
         if api_base is None:
             raise ValueError("api_base is required for Infinity embeddings")
         # Remove trailing slashes and ensure clean base URL
@@ -28,7 +36,7 @@ class InfinityEmbeddingConfig(BaseEmbeddingConfig):
         if not api_base.endswith("/embeddings"):
             api_base = f"{api_base}/embeddings"
         return api_base
-    
+
     def validate_environment(
         self,
         headers: dict,
@@ -51,17 +59,17 @@ class InfinityEmbeddingConfig(BaseEmbeddingConfig):
         # If 'Authorization' is provided in headers, it overrides the default.
         if "Authorization" in headers:
             default_headers["Authorization"] = headers["Authorization"]
-        
+
         # Merge other headers, overriding any default ones except Authorization
         return {**default_headers, **headers}
-    
+
     def get_supported_openai_params(self, model: str) -> list:
         return [
             "encoding_format",
             "modality",
             "dimensions",
         ]
-    
+
     def map_openai_params(
         self,
         non_default_params: dict,
@@ -81,7 +89,7 @@ class InfinityEmbeddingConfig(BaseEmbeddingConfig):
         if "dimensions" in non_default_params:
             optional_params["output_dimension"] = non_default_params["dimensions"]
         return optional_params
-    
+
     def transform_embedding_request(
         self,
         model: str,
@@ -130,4 +138,4 @@ class InfinityEmbeddingConfig(BaseEmbeddingConfig):
     ) -> BaseLLMException:
         return InfinityError(
             message=error_message, status_code=status_code, headers=headers
-        )
\ No newline at end of file
+        )