feat(gui): Extract and display thinking traces from AI responses

config.toml

@@ -64,8 +64,8 @@ palette = "Nord Dark"
 font_path = "C:/projects/manual_slop/assets/fonts/MapleMono-Regular.ttf"
 font_size = 18.0
 scale = 1.0
-transparency = 0.5400000214576721
-child_transparency = 0.5899999737739563
+transparency = 1.0
+child_transparency = 1.0
 
 [mma]
 max_workers = 4

src/gui_2.py

@@ -28,6 +28,7 @@ from src import app_controller
 from src import mcp_client
 from src import markdown_helper
 from src import bg_shader
+from src import thinking_parser
 import re
 import subprocess
 if sys.platform == "win32":
@@ -2762,7 +2763,11 @@ def hello():
   imgui.separator()
   if imgui.button("-> History"):
    if self.ai_response:
-    self.disc_entries.append({"role": "AI", "content": self.ai_response, "collapsed": True, "ts": project_manager.now_ts()})
+    segments, response = thinking_parser.parse_thinking_trace(self.ai_response)
+    entry = {"role": "AI", "content": response, "collapsed": True, "ts": project_manager.now_ts()}
+    if segments:
+     entry["thinking_segments"] = [{"content": s.content, "marker": s.marker} for s in segments]
+    self.disc_entries.append(entry)
   if is_blinking:
    imgui.pop_style_color(2)
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_response_panel")