style: apply black formatting

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: rishsriv

Diff for: defog/llm/utils.py

@@ -754,14 +754,17 @@ async def _process_openai_response(
         consecutive_exceptions = 0
         while True:
             # Check if prompt_tokens_details exists in the response
-            if hasattr(response.usage, 'prompt_tokens_details') and response.usage.prompt_tokens_details is not None:
+            if (
+                hasattr(response.usage, "prompt_tokens_details")
+                and response.usage.prompt_tokens_details is not None
+            ):
                 cached_tokens = response.usage.prompt_tokens_details.cached_tokens
                 total_input_tokens += response.usage.prompt_tokens - cached_tokens
                 total_cached_input_tokens += cached_tokens
             else:
                 # If prompt_tokens_details doesn't exist, assume all tokens are uncached
                 total_input_tokens += response.usage.prompt_tokens
-            
+
             total_output_tokens += response.usage.completion_tokens
             message = response.choices[0].message
             if message.tool_calls:
@@ -875,14 +878,17 @@ async def _process_openai_response(
 
     usage = response.usage
     # Check if prompt_tokens_details exists in the response
-    if hasattr(usage, 'prompt_tokens_details') and usage.prompt_tokens_details is not None:
+    if (
+        hasattr(usage, "prompt_tokens_details")
+        and usage.prompt_tokens_details is not None
+    ):
         cached_tokens = usage.prompt_tokens_details.cached_tokens
         total_cached_input_tokens += cached_tokens
         total_input_tokens += usage.prompt_tokens - cached_tokens
     else:
         # If prompt_tokens_details doesn't exist, assume all tokens are uncached
         total_input_tokens += usage.prompt_tokens
-    
+
     total_output_tokens += usage.completion_tokens
     return (
         content,