fix(gui): parse thinking traces out of response text before rendering in history and comms panels

src/app_controller.py

@@ -25,6 +25,7 @@ from src import project_manager
 from src import performance_monitor
 from src import models
 from src import presets
+from src import thinking_parser
 from src.file_cache import ASTParser
 from src import ai_client
 from src import shell_runner
@@ -613,13 +614,17 @@ class AppController:
       # ONLY add to history when turn is complete
      if self.ui_auto_add_history and not stream_id and not is_streaming:
       role = payload.get("role", "AI")
+      segments, parsed_response = thinking_parser.parse_thinking_trace(self.ai_response)
+      entry = {
+       "role": role, 
+       "content": parsed_response, 
+       "collapsed": True, 
+       "ts": project_manager.now_ts()
+      }
+      if segments:
+       entry["thinking_segments"] = [{"content": s.content, "marker": s.marker} for s in segments]
       with self._pending_history_adds_lock:
-       self._pending_history_adds.append({
-         "role": role, 
-         "content": self.ai_response, 
-         "collapsed": True, 
-         "ts": project_manager.now_ts()
-        })
+       self._pending_history_adds.append(entry)
     elif action in ("mma_stream", "mma_stream_append"):
     # Some events might have these at top level, some in a 'payload' dict
      stream_id = task.get("stream_id") or task.get("payload", {}).get("stream_id")

src/gui_2.py

@@ -2757,7 +2757,13 @@ def hello():
   imgui.begin_child("response_scroll_area", imgui.ImVec2(0, -40), True)
   is_nerv = theme.is_nerv_active()
   if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-  markdown_helper.render(self.ai_response, context_id="response")
+  
+  segments, parsed_response = thinking_parser.parse_thinking_trace(self.ai_response)
+  if segments:
+   self._render_thinking_trace([{"content": s.content, "marker": s.marker} for s in segments], 9999)
+  
+  markdown_helper.render(parsed_response, context_id="response")
+  
   if is_nerv: imgui.pop_style_color()
   imgui.end_child()
   
@@ -2909,7 +2915,14 @@ def hello():
      r = payload.get("round", 0)
      sr = payload.get("stop_reason", "STOP")
      imgui.text_colored(C_LBL, f"round: {r} stop_reason: {sr}")
-     self._render_heavy_text("text", payload.get("text", ""), idx_str)
+     
+     text_content = payload.get("text", "")
+     segments, parsed_response = thinking_parser.parse_thinking_trace(text_content)
+     if segments:
+      self._render_thinking_trace([{"content": s.content, "marker": s.marker} for s in segments], i)
+     if parsed_response:
+      self._render_heavy_text("text", parsed_response, idx_str)
+     
      tcs = payload.get("tool_calls", [])
      if tcs:
       self._render_heavy_text("tool_calls", json.dumps(tcs, indent=1), idx_str)