diff --git a/atroposlib/envs/server_handling/server_manager.py b/atroposlib/envs/server_handling/server_manager.py
index f972f7a3..c330514b 100644
--- a/atroposlib/envs/server_handling/server_manager.py
+++ b/atroposlib/envs/server_handling/server_manager.py
@@ -169,45 +169,45 @@ class ServerManager:
     ) -> Dict[str, Any]:
         """
         Inject reasoning extra_body into kwargs if reasoning is configured.
-        
+
         This method handles the differences between OpenAI and other providers:
         - OpenAI: Uses {"reasoning_effort": "..."} at top level, requires temperature=1.0,
                   and uses max_completion_tokens instead of max_tokens
         - Others: Uses {"reasoning": {"enabled": True, "effort": "...", "max_tokens": ...}}
-        
+
         Args:
             kwargs: The kwargs dict to modify
             server_idx: Index of the server to use for base_url detection
-            
+
         Returns:
             Modified kwargs dict with extra_body injected if reasoning is active
         """
         if self.reasoning_config is None or not self.reasoning_config.is_active():
             return kwargs
-        
+
         # Get the base_url to determine provider type
         base_url = self._get_server_base_url(server_idx)
         is_openai_official = base_url and "api.openai.com" in base_url
-        
+
         # Build the extra_body for reasoning
         reasoning_extra_body = self.reasoning_config.build_extra_body(base_url)
-        
+
         if reasoning_extra_body:
             # Merge with any existing extra_body in kwargs
             existing_extra_body = kwargs.get("extra_body", {}) or {}
             kwargs["extra_body"] = {**existing_extra_body, **reasoning_extra_body}
-        
+
         # OpenAI reasoning models have specific requirements
         if is_openai_official:
             # OpenAI reasoning models require temperature=1.0 (or unset)
             # Override any temperature setting
             kwargs["temperature"] = 1.0
-            
+
             # OpenAI reasoning models use max_completion_tokens instead of max_tokens
             # Convert if max_tokens is set
             if "max_tokens" in kwargs and kwargs["max_tokens"]:
                 kwargs["max_completion_tokens"] = kwargs.pop("max_tokens")
-        
+
         return kwargs
 
     async def wait_for_sem(self, is_training: bool):
@@ -245,7 +245,7 @@ class ServerManager:
     async def chat_completion(self, **kwargs) -> ChatCompletion:
         """
         Route chat completion to the most available server.
-        
+
         Automatically injects reasoning extra_body if reasoning_config is active.
         """
         n = kwargs.get("n", 1)
@@ -280,16 +280,16 @@ class ServerManager:
                 most_available_server_num_slots = (
                     server.sem._value if is_train else server.eval_sem._value
                 )
-        
+
         # Inject reasoning extra_body if configured
         kwargs = self._inject_reasoning_extra_body(kwargs, most_available_server)
-        
+
         return await self.servers[most_available_server].chat_completion(**kwargs)
 
     async def completion(self, **kwargs) -> Completion:
         """
         Route completion to the most available server.
-        
+
         Automatically injects reasoning extra_body if reasoning_config is active.
         """
         n = kwargs.get("n", 1)
@@ -322,10 +322,10 @@ class ServerManager:
                 most_available_server_num_slots = (
                     server.sem._value if is_train else server.eval_sem._value
                 )
-        
+
         # Inject reasoning extra_body if configured
         kwargs = self._inject_reasoning_extra_body(kwargs, most_available_server)
-        
+
         return await self.servers[most_available_server].completion(**kwargs)
 
     async def tokens_and_logprobs_completion(
@@ -334,7 +334,7 @@ class ServerManager:
         """
         Get tokens and logprobs from completion.
         Returns (prompt_tokens, output_tokens, output_logprobs, finish_reasons).
-        
+
         Automatically injects reasoning extra_body if reasoning_config is active.
         """
         n = kwargs.get("n", 1)
@@ -373,10 +373,10 @@ class ServerManager:
                 most_available_server_num_slots = (
                     server.sem._value if is_train else server.eval_sem._value
                 )
-        
+
         # Inject reasoning extra_body if configured
         kwargs = self._inject_reasoning_extra_body(kwargs, most_available_server)
-        
+
         return await self.servers[most_available_server].tokens_and_logprobs_completion(
             **kwargs
         )
diff --git a/atroposlib/tests/test_reasoning_models.py b/atroposlib/tests/test_reasoning_models.py
index 4a9ca7cb..e3f0ecf8 100644
--- a/atroposlib/tests/test_reasoning_models.py
+++ b/atroposlib/tests/test_reasoning_models.py
@@ -923,4 +923,4 @@ if __name__ == "__main__":
         # Run all tests
         run_unit_tests()
         asyncio.run(run_server_manager_integration_test())
-        asyncio.run(run_all_integration_tests())
+        asyncio.run(run_all_integration_tests())
\ No newline at end of file