diff --git a/src/gui_2.py b/src/gui_2.py
index a6769b5..3fda22d 100644
--- a/src/gui_2.py
+++ b/src/gui_2.py
@@ -306,17 +306,22 @@ class App:
   if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
 
   if len(content) > COMMS_CLAMP_CHARS:
-   imgui.begin_child(f"heavy_text_child_{label}_{id_suffix}", imgui.ImVec2(0, 80), True)
    if is_md:
+    imgui.begin_child(f"heavy_text_child_{label}_{id_suffix}", imgui.ImVec2(0, 150), True)
     markdown_helper.render(content, context_id=ctx_id)
+    imgui.end_child()
    else:
-    markdown_helper.render_code(content, context_id=ctx_id)
-   imgui.end_child()
+    imgui.input_text_multiline(f"##heavy_text_input_{label}_{id_suffix}", content, imgui.ImVec2(-1, 150), imgui.InputTextFlags_.read_only)
   else:
    if is_md:
     markdown_helper.render(content, context_id=ctx_id)
    else:
-    markdown_helper.render_code(content, context_id=ctx_id)
+    if self.ui_word_wrap:
+     imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
+     imgui.text(content)
+     imgui.pop_text_wrap_pos()
+    else:
+     imgui.text(content)
   
   if is_nerv: imgui.pop_style_color()
     # ---------------------------------------------------------------- gui
@@ -2282,46 +2287,46 @@ def hello():
        self._render_thinking_trace(thinking_segments, i)
       if read_mode:
        content = entry["content"]
-       pattern = re.compile(r"\[Definition: (.*?) from (.*?) \(line (\d+)\)\](\s+```[\s\S]*?```)?")
-       matches = list(pattern.finditer(content))
-       is_nerv = theme.is_nerv_active()
-       if not matches:
-        if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-        markdown_helper.render(content, context_id=f'disc_{i}')
-        if is_nerv: imgui.pop_style_color()
-       else:
-        imgui.begin_child(f"read_content_{i}", imgui.ImVec2(0, 150), True)
-        if self.ui_word_wrap: imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
-        last_idx = 0
-        for m_idx, match in enumerate(matches):
-         before = content[last_idx:match.start()]
-         if before:
-          if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-          markdown_helper.render(before, context_id=f'disc_{i}_b_{m_idx}')
-          if is_nerv: imgui.pop_style_color()
-         header_text = match.group(0).split("\n")[0].strip()
-         path = match.group(2)
-         code_block = match.group(4)
-         if imgui.collapsing_header(header_text):
-          if imgui.button(f"[Source]##{i}_{match.start()}"):
-           res = mcp_client.read_file(path)
-           if res:
-            self.text_viewer_title = path
-            self.text_viewer_content = res
-            self.show_text_viewer = True
-          if code_block:
-           # Render code block with highlighting
-           if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-           markdown_helper.render(code_block, context_id=f'disc_{i}_c_{m_idx}')
-           if is_nerv: imgui.pop_style_color()
-         last_idx = match.end()
-        after = content[last_idx:]
-        if after:
+       if content.strip():
+        pattern = re.compile(r"\[Definition: (.*?) from (.*?) \(line (\d+)\)\](\s+```[\s\S]*?```)?")
+        matches = list(pattern.finditer(content))
+        is_nerv = theme.is_nerv_active()
+        if not matches:
          if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-         markdown_helper.render(after, context_id=f'disc_{i}_a')
+         markdown_helper.render(content, context_id=f'disc_{i}')
          if is_nerv: imgui.pop_style_color()
-        if self.ui_word_wrap: imgui.pop_text_wrap_pos()
-        imgui.end_child()
+        else:
+         imgui.begin_child(f"read_content_{i}", imgui.ImVec2(0, 150), True)
+         if self.ui_word_wrap: imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
+         last_idx = 0
+         for m_idx, match in enumerate(matches):
+          before = content[last_idx:match.start()]
+          if before:
+           if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
+           markdown_helper.render(before, context_id=f'disc_{i}_b_{m_idx}')
+           if is_nerv: imgui.pop_style_color()
+          header_text = match.group(0).split("\n")[0].strip()
+          path = match.group(2)
+          code_block = match.group(4)
+          if imgui.collapsing_header(header_text):
+           if imgui.button(f"[Source]##{i}_{match.start()}"):
+            res = mcp_client.read_file(path)
+            if res:
+             self.text_viewer_title = path
+             self.text_viewer_content = res
+             self.show_text_viewer = True
+           if code_block:
+            if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
+            markdown_helper.render(code_block, context_id=f'disc_{i}_c_{m_idx}')
+            if is_nerv: imgui.pop_style_color()
+          last_idx = match.end()
+         after = content[last_idx:]
+         if after:
+          if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
+          markdown_helper.render(after, context_id=f'disc_{i}_a')
+          if is_nerv: imgui.pop_style_color()
+         if self.ui_word_wrap: imgui.pop_text_wrap_pos()
+         imgui.end_child()
       else:
        ch, entry["content"] = imgui.input_text_multiline("##content", entry["content"], imgui.ImVec2(-1, 150))
      imgui.separator()
@@ -2914,7 +2919,16 @@ def hello():
     elif kind == "response":
      r = payload.get("round", 0)
      sr = payload.get("stop_reason", "STOP")
-     imgui.text_colored(C_LBL, f"round: {r} stop_reason: {sr}")
+     usage = payload.get("usage", {})
+     usage_str = ""
+     if usage:
+      inp = usage.get("input_tokens", 0)
+      out = usage.get("output_tokens", 0)
+      cache = usage.get("cache_read_input_tokens", 0)
+      usage_str = f" in:{inp} out:{out}"
+      if cache:
+       usage_str += f" cache:{cache}"
+     imgui.text_colored(C_LBL, f"round: {r} stop_reason: {sr}{usage_str}")
      
      text_content = payload.get("text", "")
      segments, parsed_response = thinking_parser.parse_thinking_trace(text_content)