diff --git a/letta/schemas/llm_config.py b/letta/schemas/llm_config.py
index 6b918846..afb000d9 100644
--- a/letta/schemas/llm_config.py
+++ b/letta/schemas/llm_config.py
@@ -187,6 +187,8 @@ class LLMConfig(BaseModel):
     @classmethod
     def apply_reasoning_setting_to_config(cls, config: "LLMConfig", reasoning: bool):
         if reasoning:
+            config.enable_reasoner = True
+
             if (
                 config.model_endpoint_type == "anthropic"
                 and ("claude-opus-4" in config.model or "claude-sonnet-4" in config.model or "claude-3-7-sonnet" in config.model)
@@ -194,19 +196,19 @@ class LLMConfig(BaseModel):
                 config.model_endpoint_type == "google_vertex" and ("gemini-2.5-flash" in config.model or "gemini-2.0-pro" in config.model)
             ):
                 config.put_inner_thoughts_in_kwargs = False
-                config.enable_reasoner = True
                 if config.max_reasoning_tokens == 0:
                     config.max_reasoning_tokens = 1024
             elif config.model_endpoint_type == "openai" and (
                 config.model.startswith("o1") or config.model.startswith("o3") or config.model.startswith("o4")
             ):
-                config.put_inner_thoughts_in_kwargs = True
-                config.enable_reasoner = True
+                config.put_inner_thoughts_in_kwargs = False
                 if config.reasoning_effort is None:
                     config.reasoning_effort = "medium"
             else:
                 config.put_inner_thoughts_in_kwargs = True
-                config.enable_reasoner = False
+
         else:
-            config.put_inner_thoughts_in_kwargs = False
             config.enable_reasoner = False
+            config.put_inner_thoughts_in_kwargs = False
+
+        return config