fix(ai_client): extract Gemini thought=True parts and wrap in <thinking> tags for parse_thinking_trace

src/ai_client.py

@@ -1536,6 +1536,26 @@ def _ensure_gemini_client() -> None:
    creds          = _load_credentials()
    _gemini_client = genai.Client(api_key=creds["gemini"]["api_key"])
 
+def _extract_gemini_thoughts(resp: Any) -> str:
+ """
+  Extracts concatenated thinking text from a Gemini response object's parts.
+  Parts with thought=True are thinking segments; parts with thought=False or unset are visible text.
+  The google-genai SDK filters thoughts out of resp.text, so we must scan parts directly.
+  Returns "" if no thoughts are present.
+ """
+ chunks: list[str] = []
+ try:
+  candidates = getattr(resp, "candidates", None) or []
+  for cand in candidates:
+   content = getattr(cand, "content", None)
+   if content is None: continue
+   parts = getattr(content, "parts", None) or []
+   for p in parts:
+    if getattr(p, "thought", False) and getattr(p, "text", None):
+     chunks.append(p.text)
+ except Exception: pass
+ return "".join(chunks).strip()
+
 def _get_gemini_history_list(chat: Any | None) -> list[Any]:
  if not chat: return []
  if hasattr(chat, "_history"):    return cast(list[Any], chat._history)
@@ -1782,6 +1802,9 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str,
    _append_comms("OUT", "tool_result_send", {"results": log})
    payload = f_resps
   res = "\n\n".join(all_text) if all_text else "(No text returned)"
+  thought_text = _extract_gemini_thoughts(final_resp if stream_callback else resp)
+  if thought_text:
+   res = f"<thinking>\n{thought_text}\n</thinking>\n\n{res}"
   if monitor.enabled: monitor.end_component("ai_client._send_gemini")
   return Result(data=res)
  except Exception as e: