chore: simplify summary, english turn hints, reasoning field compat

ga.py

@@ -553,7 +553,7 @@ class GenericAgentHandler(BaseHandler):
         else:
             tc = tool_calls[0]; tool_name, args = tc['tool_name'], tc['args']   # at least one because no_tool
             clean_args = {k: v for k, v in args.items() if not k.startswith('_')}
-            summary = f"调用工具{tool_name}, args: {clean_args}"
+            summary = f"{tool_name}, args: {clean_args}"
             if tool_name == 'no_tool': summary = "直接回答了用户问题"
             next_prompt += "\n\n\n[SYSTEM] 必须在回复文本中包含<summary>！\n\n"
             summary = smart_format(summary.replace('\n', ''), max_str_len=40)
@@ -562,9 +562,11 @@ class GenericAgentHandler(BaseHandler):
         _plan = self._in_plan_mode()
 
         if turn % 175 == 0 and (not _plan):
-            next_prompt += f"\n\n[DANGER] 已连续执行第 {turn} 轮。必须总结情况进行ask_user，不允许继续重试。"
+            next_prompt += f"\n\n[DANGER] Turn {turn}. Must call ask_user to summarize progress and get direction. No more blind retries."
         elif turn % 7 == 0:
-            next_prompt += f"\n\n[SYSTEM] 已连续执行第 {turn} 轮。建议调用update_working_checkpoint保存关键上下文。禁止无效重试；若无有效进展，必须切换策略：1. 探测物理边界 2. **重读相关SOP**"
+            next_prompt += f"\n\n[SYSTEM] Turn {turn}. Call update_working_checkpoint to save key context. Stop ineffective retries; if no progress, switch strategy: 1) Probe physical boundaries 2) **Re-read relevant SOPs**"
+        elif turn % 25 == 0:
+            next_prompt += f"\n\n[SYSTEM] Turn {turn}. Write checkpoints/key findings/tried approaches to a file for future reference. Avoid losing critical info."
         elif turn % 10 == 0: next_prompt += get_global_memory()
 
         if _plan and turn >= 10 and turn % 5 == 0:

llmcore.py

@@ -274,8 +274,8 @@ def _parse_openai_sse(resp_lines, api_mode="chat_completions"):
             except: continue
             ch = (evt.get("choices") or [{}])[0]
             delta = ch.get("delta") or {}
-            if delta.get("reasoning_content"):
-                reasoning_text += delta["reasoning_content"]
+            if rc := delta.get("reasoning_content") or delta.get("reasoning", ""):
+                reasoning_text += rc; yield rc
             if delta.get("content"):
                 text = delta["content"]; content_text += text; yield text
             for tc in (delta.get("tool_calls") or []):
@@ -334,7 +334,7 @@ def _parse_openai_json(data, api_mode="chat_completions"):
     else:
         _record_usage(data.get("usage") or {}, api_mode)
         msg = (data.get("choices") or [{}])[0].get("message", {})
-        reasoning = msg.get("reasoning_content", "")
+        reasoning = msg.get("reasoning_content") or msg.get("reasoning", "")
         if reasoning:
             blocks.append({"type": "thinking", "thinking": reasoning})
         content = msg.get("content", "")