refactor: streamline scratchpad handling in AIAgent

- Removed static methods for converting and checking <REASONING_SCRATCHPAD> tags, simplifying the codebase.
- Replaced calls to the removed methods with direct function calls for better clarity and maintainability.
- Updated trajectory saving logic to utilize a dedicated function for improved organization and readability.

run_agent.py

@@ -637,43 +637,6 @@ class AIAgent:
         
         return json.dumps(formatted_tools, ensure_ascii=False)
     
-    @staticmethod
-    def _convert_scratchpad_to_think(content: str) -> str:
-        """
-        Convert <REASONING_SCRATCHPAD> tags to <think> tags in content.
-        
-        When native thinking/reasoning is disabled and the model is prompted to
-        reason inside <REASONING_SCRATCHPAD> XML tags instead, this converts those
-        to the standard <think> format used in our trajectory storage.
-        
-        Args:
-            content: Assistant message content that may contain scratchpad tags
-            
-        Returns:
-            Content with scratchpad tags replaced by think tags
-        """
-        if not content or "<REASONING_SCRATCHPAD>" not in content:
-            return content
-        return content.replace("<REASONING_SCRATCHPAD>", "<think>").replace("</REASONING_SCRATCHPAD>", "</think>")
-    
-    @staticmethod
-    def _has_incomplete_scratchpad(content: str) -> bool:
-        """
-        Check if content has an opening <REASONING_SCRATCHPAD> without a closing tag.
-        
-        This indicates the model ran out of output tokens mid-reasoning, producing
-        a broken turn that shouldn't be saved. The caller should retry or discard.
-        
-        Args:
-            content: Assistant message content to check
-            
-        Returns:
-            True if there's an unclosed scratchpad tag
-        """
-        if not content:
-            return False
-        return "<REASONING_SCRATCHPAD>" in content and "</REASONING_SCRATCHPAD>" not in content
-    
     def _convert_to_trajectory_format(self, messages: List[Dict[str, Any]], user_query: str, completed: bool) -> List[Dict[str, Any]]:
         """
         Convert internal message format to trajectory format for saving.
@@ -738,7 +701,7 @@ class AIAgent:
                     if msg.get("content") and msg["content"].strip():
                         # Convert any <REASONING_SCRATCHPAD> tags to <think> tags
                         # (used when native thinking is disabled and model reasons via XML)
-                        content += self._convert_scratchpad_to_think(msg["content"]) + "\n"
+                        content += convert_scratchpad_to_think(msg["content"]) + "\n"
                     
                     # Add tool calls wrapped in XML tags
                     for tool_call in msg["tool_calls"]:
@@ -813,7 +776,7 @@ class AIAgent:
                     # Convert any <REASONING_SCRATCHPAD> tags to <think> tags
                     # (used when native thinking is disabled and model reasons via XML)
                     raw_content = msg["content"] or ""
-                    content += self._convert_scratchpad_to_think(raw_content)
+                    content += convert_scratchpad_to_think(raw_content)
                     
                     # Ensure every gpt turn has a <think> block (empty if no reasoning)
                     if "<think>" not in content:
@@ -846,27 +809,8 @@ class AIAgent:
         if not self.save_trajectories:
             return
         
-        # Convert messages to trajectory format
         trajectory = self._convert_to_trajectory_format(messages, user_query, completed)
-        
+        _save_trajectory_to_file(trajectory, self.model, completed)
-        # Determine which file to save to
-        filename = "trajectory_samples.jsonl" if completed else "failed_trajectories.jsonl"
-        
-        # Create trajectory entry
-        entry = {
-            "conversations": trajectory,
-            "timestamp": datetime.now().isoformat(),
-            "model": self.model,
-            "completed": completed
-        }
-        
-        # Append to JSONL file
-        try:
-            with open(filename, "a", encoding="utf-8") as f:
-                f.write(json.dumps(entry, ensure_ascii=False) + "\n")
-            logger.info("Trajectory saved to %s", filename)
-        except Exception as e:
-            logger.warning("Failed to save trajectory: %s", e)
     
     def _mask_api_key_for_logs(self, key: Optional[str]) -> Optional[str]:
         if not key:
@@ -2134,7 +2078,7 @@ class AIAgent:
                 
                 # Check for incomplete <REASONING_SCRATCHPAD> (opened but never closed)
                 # This means the model ran out of output tokens mid-reasoning — retry up to 2 times
-                if self._has_incomplete_scratchpad(assistant_message.content or ""):
+                if has_incomplete_scratchpad(assistant_message.content or ""):
                     if not hasattr(self, '_incomplete_scratchpad_retries'):
                         self._incomplete_scratchpad_retries = 0
                     self._incomplete_scratchpad_retries += 1