diff --git a/openhands/core/config/llm_config.py b/openhands/core/config/llm_config.py
index c28390d47bda..9beb6d6f5f09 100644
--- a/openhands/core/config/llm_config.py
+++ b/openhands/core/config/llm_config.py
@@ -1,8 +1,8 @@
 from __future__ import annotations
 
 import os
-
 from typing import Any
+
 from pydantic import BaseModel, Field, SecretStr
 
 from openhands.core.logger import LOG_DIR
@@ -39,12 +39,12 @@ class LLMConfig(BaseModel):
         drop_params: Drop any unmapped (unsupported) params without causing an exception.
         modify_params: Modify params allows litellm to do transformations like adding a default message, when a message is empty.
         disable_vision: If model is vision capable, this option allows to disable image processing (useful for cost reduction).
-        reasoning_effort: The effort to put into reasoning. This is a string that can be one of 'low', 'medium', 'high', or 'none'. Exclusive for o1 models.
         caching_prompt: Use the prompt caching feature if provided by the LLM and supported by the provider.
         log_completions: Whether to log LLM completions to the state.
         log_completions_folder: The folder to log LLM completions to. Required if log_completions is True.
         custom_tokenizer: A custom tokenizer to use for token counting.
         native_tool_calling: Whether to use native tool calling if supported by the model. Can be True, False, or not set.
+        reasoning_effort: The effort to put into reasoning. This is a string that can be one of 'low', 'medium', 'high', or 'none'. Exclusive for o1 models.
     """
 
     model: str = Field(default='claude-3-5-sonnet-20241022')
@@ -85,7 +85,8 @@ class LLMConfig(BaseModel):
     log_completions_folder: str = Field(default=os.path.join(LOG_DIR, 'completions'))
     custom_tokenizer: str | None = Field(default=None)
     native_tool_calling: bool | None = Field(default=None)
-    
+    reasoning_effort: str | None = Field(default=None)
+
     model_config = {'extra': 'forbid'}
 
     def model_post_init(self, __context: Any):
diff --git a/openhands/llm/llm.py b/openhands/llm/llm.py
index 8f9ac12b7063..98bcf7cb173d 100644
--- a/openhands/llm/llm.py
+++ b/openhands/llm/llm.py
@@ -152,6 +152,12 @@ def __init__(
             temperature=self.config.temperature,
             top_p=self.config.top_p,
             drop_params=self.config.drop_params,
+            # add reasoning_effort, only if the model is supported
+            **(
+                {'reasoning_effort': self.config.reasoning_effort}
+                if self.config.model.lower() in REASONING_EFFORT_SUPPORTED_MODELS
+                else {}
+            ),
         )
 
         self._completion_unwrapped = self._completion
@@ -217,10 +223,6 @@ def wrapper(*args, **kwargs):
                         'anthropic-beta': 'prompt-caching-2024-07-31',
                     }
 
-            # Set reasoning effort for models that support it
-            if self.config.model.lower() in REASONING_EFFORT_SUPPORTED_MODELS:
-                kwargs['reasoning_effort'] = self.config.reasoning_effort
-
             # set litellm modify_params to the configured value
             # True by default to allow litellm to do transformations like adding a default message, when a message is empty
             # NOTE: this setting is global; unlike drop_params, it cannot be overridden in the litellm completion partial