debug: stderr log instead of yield

pipeline_service/agent_loop_v2.py

@@ -128,13 +128,8 @@ class AgentExecutor:
             # 5b. LLM 调用
             raw = await self._call_llm()
 
-            # debug: show raw LLM output
-            yield json.dumps({
-                "type": "debug_raw",
-                "turn": self._turn_count,
-                "raw_len": len(raw) if raw else 0,
-                "raw_preview": (raw or "")[:200],
-            }, ensure_ascii=False) + "\n"
+            import sys
+            print(f"AGENT_LOOP turn={self._turn_count} raw_len={len(raw) if raw else 0}", file=sys.stderr, flush=True)
 
             # 5c. 解析 LLM 输出
             actions = self._parse_actions(raw)
@@ -144,14 +139,6 @@ class AgentExecutor:
                 action_type = act.get("action", "")
 
                 if action_type == "reply":
-                    # debug: always emit count
-                    yield json.dumps({
-                        "type": "debug",
-                        "tool_call_count": self._tool_call_count,
-                        "turn": self._turn_count,
-                        "action": action_type,
-                    }, ensure_ascii=False) + "\n"
-
                     # 任何轮次，只要没成功调过工具就 reply → 强制注入工具调用
                     if self._tool_call_count == 0:
                         hint_tool = "diagnose_project"