diff --git a/src/agent/custom_agent.py b/src/agent/custom_agent.py
index 81f33c8..10be78d 100644
--- a/src/agent/custom_agent.py
+++ b/src/agent/custom_agent.py
@@ -184,42 +184,39 @@ class CustomAgent(Agent):
     @time_execution_async("--get_next_action")
     async def get_next_action(self, input_messages: list[BaseMessage]) -> AgentOutput:
         """Get next action from LLM based on current state"""
-        if self.use_deepseek_r1:
-            merged_input_messages = self.message_manager.merge_successive_human_messages(input_messages)
-            ai_message = self.llm.invoke(merged_input_messages)
-            self.message_manager._add_message_with_tokens(ai_message)
-            logger.info(f"🤯 Start Deep Thinking: ")
-            logger.info(ai_message.reasoning_content)
-            logger.info(f"🤯 End Deep Thinking")
-            if isinstance(ai_message.content, list):
-                ai_content = ai_message.content[0].replace("```json", "").replace("```", "")
-            else:
-                ai_content = ai_message.content.replace("```json", "").replace("```", "")
-            ai_content = repair_json(ai_content)
-            parsed_json = json.loads(ai_content)
-            parsed: AgentOutput = self.AgentOutput(**parsed_json)
-            if parsed is None:
-                logger.debug(ai_message.content)
-                raise ValueError(f'Could not parse response.')
-        else:
-            ai_message = self.llm.invoke(input_messages)
-            self.message_manager._add_message_with_tokens(ai_message)
-            if isinstance(ai_message.content, list):
-                ai_content = ai_message.content[0].replace("```json", "").replace("```", "")
-            else:
-                ai_content = ai_message.content.replace("```json", "").replace("```", "")
-            ai_content = repair_json(ai_content)
-            parsed_json = json.loads(ai_content)
-            parsed: AgentOutput = self.AgentOutput(**parsed_json)
-            if parsed is None:
-                logger.debug(ai_message.content)
-                raise ValueError(f'Could not parse response.')
+        messages_to_process = (
+            self.message_manager.merge_successive_human_messages(input_messages)
+            if self.use_deepseek_r1
+            else input_messages
+        )
 
-        # cut the number of actions to max_actions_per_step
+        ai_message = self.llm.invoke(messages_to_process)
+        self.message_manager._add_message_with_tokens(ai_message)
+
+        if self.use_deepseek_r1:
+            logger.info("🤯 Start Deep Thinking: ")
+            logger.info(ai_message.reasoning_content)
+            logger.info("🤯 End Deep Thinking")
+
+        if isinstance(ai_message.content, list):
+            ai_content = ai_message.content[0]
+        else:
+            ai_content = ai_message.content
+
+        ai_content = ai_content.replace("```json", "").replace("```", "")
+        ai_content = repair_json(ai_content)
+        parsed_json = json.loads(ai_content)
+        parsed: AgentOutput = self.AgentOutput(**parsed_json)
+        
+        if parsed is None:
+            logger.debug(ai_message.content)
+            raise ValueError('Could not parse response.')
+
+        # Limit actions to maximum allowed per step
         parsed.action = parsed.action[: self.max_actions_per_step]
         self._log_response(parsed)
         self.n_steps += 1
-
+        
         return parsed
 
     @time_execution_async("--step")