diff --git a/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer.py b/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer.py
index 793a720..94d0aed 100644
--- a/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer.py
+++ b/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer.py
@@ -58,7 +58,7 @@ def generate(self, prompt: str, temperature: float, max_tokens: int) -> str:
             model=self.model,
             messages=[{"role": "user", "content": prompt}],
             temperature=temperature,
-            max_tokens=max_tokens,
+            max_completion_tokens=max_tokens,
         )
         return response.choices[0].message.content
 
diff --git a/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer_cfg.py b/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer_cfg.py
index 8f81a09..df60f01 100644
--- a/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer_cfg.py
+++ b/source/autosim/autosim/decomposers/llm_decomposer/llm_decomposer_cfg.py
@@ -21,7 +21,7 @@ class LLMDecomposerCfg(DecomposerCfg):
     base_url: str = "https://api.openai.com/v1"
     """The base URL for the LLM API."""
 
-    model: str = "gpt-3.5-turbo"
+    model: str = "gpt-5.4"
     """The model name for the LLM."""
 
     temperature: float = 0.3
diff --git a/source/autosim/autosim/decomposers/llm_decomposer/prompts/task_decompose.jinja b/source/autosim/autosim/decomposers/llm_decomposer/prompts/task_decompose.jinja
index a76b923..e1ec1ee 100644
--- a/source/autosim/autosim/decomposers/llm_decomposer/prompts/task_decompose.jinja
+++ b/source/autosim/autosim/decomposers/llm_decomposer/prompts/task_decompose.jinja
@@ -80,7 +80,7 @@ Output the task decomposition result in JSON format with the following fields:
 
 5. **Push/Pull Pattern** (for pushing/pulling objects):
     ```
-    moveto(object) → reach(object) → grasp(object) → push(forward) # or pull(back)
+    moveto(object) → reach(object) → grasp(object) → push(object) # or pull(object)
     ```
 
 6. **Combined Patterns**: For complex tasks, combine multiple patterns in sequence.