fix: run black formatting on UP045-fixed files

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

litellm/llms/anthropic/chat/handler.py

@@ -782,7 +782,14 @@ class ModelResponseIterator:
             usage: Usage | None = None
             provider_specific_fields: Dict[str, Any] = {}
             reasoning_content: str | None = None
-            thinking_blocks: List[Union[ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock]] | None = None
+            thinking_blocks: (
+                List[
+                    Union[
+                        ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock
+                    ]
+                ]
+                | None
+            ) = None
 
             # Always use index=0 for OpenAI choice format (fixes multi-choice errors)
             index = 0

litellm/proxy/spend_tracking/cold_storage_handler.py

@@ -60,6 +60,8 @@ class ColdStorageHandler:
     def _select_custom_logger_for_cold_storage(
         self,
     ) -> _custom_logger_compatible_callbacks_literal | None:
-        cold_storage_custom_logger: _custom_logger_compatible_callbacks_literal | None = litellm.cold_storage_custom_logger
+        cold_storage_custom_logger: (
+            _custom_logger_compatible_callbacks_literal | None
+        ) = litellm.cold_storage_custom_logger
 
         return cold_storage_custom_logger

litellm/proxy/spend_tracking/spend_management_endpoints.py

@@ -1789,9 +1789,7 @@ async def ui_view_spend_logs(
     status_filter: str | None = fastapi.Query(
         default=None, description="Filter logs by status (e.g., success, failure)"
     ),
-    model: str | None = fastapi.Query(
-        default=None, description="Filter logs by model"
-    ),
+    model: str | None = fastapi.Query(default=None, description="Filter logs by model"),
     model_id: str | None = fastapi.Query(
         default=None,
         description="Filter logs by model ID (litellm model deployment id)",

litellm/rerank_api/main.py

@@ -30,7 +30,12 @@ async def arerank(
     model: str,
     query: str,
     documents: List[Union[str, Dict[str, Any]]],
-    custom_llm_provider: Literal["cohere", "together_ai", "deepinfra", "fireworks_ai", "voyage", "watsonx"] | None = None,
+    custom_llm_provider: (
+        Literal[
+            "cohere", "together_ai", "deepinfra", "fireworks_ai", "voyage", "watsonx"
+        ]
+        | None
+    ) = None,
     top_n: int | None = None,
     rank_fields: List[str] | None = None,
     return_documents: bool | None = None,
@@ -75,7 +80,21 @@ def rerank(
     model: str,
     query: str,
     documents: List[Union[str, Dict[str, Any]]],
-    custom_llm_provider: Literal["cohere", "together_ai", "azure_ai", "infinity", "litellm_proxy", "hosted_vllm", "deepinfra", "fireworks_ai", "voyage", "watsonx"] | None = None,
+    custom_llm_provider: (
+        Literal[
+            "cohere",
+            "together_ai",
+            "azure_ai",
+            "infinity",
+            "litellm_proxy",
+            "hosted_vllm",
+            "deepinfra",
+            "fireworks_ai",
+            "voyage",
+            "watsonx",
+        ]
+        | None
+    ) = None,
     top_n: int | None = None,
     rank_fields: List[str] | None = None,
     return_documents: bool | None = True,