diff --git a/litellm/llms/xai/image_edit/transformation.py b/litellm/llms/xai/image_edit/transformation.py
index 4ba55f6c339..9ef0b51dca7 100644
--- a/litellm/llms/xai/image_edit/transformation.py
+++ b/litellm/llms/xai/image_edit/transformation.py
@@ -86,12 +86,7 @@ class XAIImageEditConfig(BaseImageEditConfig):
         resolved_base: Final = (
             XAIOAuthAuthenticator().get_api_base()
             if should_use_xai_oauth(litellm_params) and not XAIModelInfo.get_api_key(api_key)
-            else (
-                api_base
-                or get_secret_str("XAI_API_BASE")
-                or get_secret_str("XAI_OAUTH_API_BASE")
-                or XAI_API_BASE
-            )
+            else (api_base or get_secret_str("XAI_API_BASE") or get_secret_str("XAI_OAUTH_API_BASE") or XAI_API_BASE)
         )
         base: Final = (resolved_base or XAI_API_BASE).rstrip("/")
         if base.endswith("/v1"):
@@ -129,8 +124,7 @@ class XAIImageEditConfig(BaseImageEditConfig):
                     model=model,
                     llm_provider="xai",
                     message=(
-                        "Missing xAI credentials for image edit. "
-                        "Pass api_key / XAI_API_KEY, or set use_xai_oauth=True."
+                        "Missing xAI credentials for image edit. Pass api_key / XAI_API_KEY, or set use_xai_oauth=True."
                     ),
                 )
             headers["Authorization"] = f"Bearer {dynamic_api_key}"
@@ -159,11 +153,7 @@ class XAIImageEditConfig(BaseImageEditConfig):
         request: Final[dict[str, Any]] = {
             "model": XAIModelInfo.get_base_model(model) or model,
             **({"prompt": prompt} if prompt is not None else {}),
-            **(
-                {"image": image_payloads[0]}
-                if len(image_payloads) == 1
-                else {"images": list(image_payloads)}
-            ),
+            **({"image": image_payloads[0]} if len(image_payloads) == 1 else {"images": list(image_payloads)}),
             **{
                 key: image_edit_optional_request_params[key]
                 for key in ("aspect_ratio", "resolution")
diff --git a/litellm/llms/xai/image_generation/transformation.py b/litellm/llms/xai/image_generation/transformation.py
index 6dd8318a139..4e220e82386 100644
--- a/litellm/llms/xai/image_generation/transformation.py
+++ b/litellm/llms/xai/image_generation/transformation.py
@@ -49,11 +49,7 @@ class XAIImageGenerationConfig(BaseImageGenerationConfig):
     ) -> dict:
         supported_params: Final = frozenset(self.get_supported_openai_params(model))
         allowed: Final = supported_params | _XAI_NATIVE_PARAMS
-        unknown: Final = tuple(
-            key
-            for key in non_default_params
-            if key not in optional_params and key not in allowed
-        )
+        unknown: Final = tuple(key for key in non_default_params if key not in optional_params and key not in allowed)
         if unknown and not drop_params:
             raise ValueError(
                 f"Parameter {unknown[0]} is not supported for model {model}. "
@@ -86,12 +82,7 @@ class XAIImageGenerationConfig(BaseImageGenerationConfig):
         resolved_base: Final = (
             XAIOAuthAuthenticator().get_api_base()
             if should_use_xai_oauth(litellm_params) and not XAIModelInfo.get_api_key(api_key)
-            else (
-                api_base
-                or get_secret_str("XAI_API_BASE")
-                or get_secret_str("XAI_OAUTH_API_BASE")
-                or XAI_API_BASE
-            )
+            else (api_base or get_secret_str("XAI_API_BASE") or get_secret_str("XAI_OAUTH_API_BASE") or XAI_API_BASE)
         )
         base: Final = (resolved_base or XAI_API_BASE).rstrip("/")
         if base.endswith("/v1"):
diff --git a/litellm/proxy/video_endpoints/endpoints.py b/litellm/proxy/video_endpoints/endpoints.py
index 6f13d88341f..6da6301aac5 100644
--- a/litellm/proxy/video_endpoints/endpoints.py
+++ b/litellm/proxy/video_endpoints/endpoints.py
@@ -269,9 +269,7 @@ async def video_status(
     if resolved_model:
         data["model"] = resolved_model
 
-    custom_llm_provider: Final = (
-        explicit_provider or infer_video_provider_from_model(resolved_model) or "openai"
-    )
+    custom_llm_provider: Final = explicit_provider or infer_video_provider_from_model(resolved_model) or "openai"
     if custom_llm_provider:
         data["custom_llm_provider"] = custom_llm_provider
 
diff --git a/litellm/videos/main.py b/litellm/videos/main.py
index b95225d04c5..c01d1343c91 100644
--- a/litellm/videos/main.py
+++ b/litellm/videos/main.py
@@ -362,9 +362,7 @@ def video_content(
         litellm_call_id: Final[str | None] = kwargs.get("litellm_call_id", None)
         _is_async: Final = kwargs.pop("async_call", False) is True
 
-        custom_llm_provider = _provider_for_video_id(
-            video_id, custom_llm_provider, kwargs.get("model")
-        )
+        custom_llm_provider = _provider_for_video_id(video_id, custom_llm_provider, kwargs.get("model"))
 
         # get llm provider logic
         litellm_params: Final = GenericLiteLLMParams(**kwargs)
@@ -456,9 +454,7 @@ async def avideo_content(
         loop: Final = asyncio.get_event_loop()
         kwargs["async_call"] = True
 
-        custom_llm_provider = _provider_for_video_id(
-            video_id, custom_llm_provider, kwargs.get("model")
-        )
+        custom_llm_provider = _provider_for_video_id(video_id, custom_llm_provider, kwargs.get("model"))
 
         func: Final = partial(
             video_content,
@@ -1062,9 +1058,7 @@ def video_status(
             response: Final = VideoObject(**mock_response)
             return response
 
-        custom_llm_provider = _provider_for_video_id(
-            video_id, custom_llm_provider, kwargs.get("model")
-        )
+        custom_llm_provider = _provider_for_video_id(video_id, custom_llm_provider, kwargs.get("model"))
 
         # get llm provider logic
         litellm_params: Final = GenericLiteLLMParams(**kwargs)