diff --git a/app/services/ai_tool.py b/app/services/ai_tool.py
index 1ce0c97..ab634e0 100644
--- a/app/services/ai_tool.py
+++ b/app/services/ai_tool.py
@@ -1,8 +1,7 @@
 """AI 调用工具封装
 
-核心机制：健康门闸（Health Gate）
-- ainvoke 抛异常 → 标记故障，全部协程阻塞，单探针退避重试直到成功
-- ainvoke 正常返回 → 放行，后续逻辑不变
+每个协程独立重试，失败后 sleep 200ms 再试，直到成功。
+不再有全局门闸，互不影响。
 """
 
 import asyncio
@@ -26,11 +25,6 @@ _THINK_RE = re.compile(r"<think>.*?</think>", re.DOTALL | re.IGNORECASE)
 # 匹配 ```json ... ``` 代码块，提取中间的 JSON 内容
 _CODE_BLOCK_RE = re.compile(r"```(?:json\w*)?\s*\n?(.*?)\n?\s*```", re.DOTALL | re.IGNORECASE)
 
-# ──────────── 健康门闸 ────────────
-_gate_event = asyncio.Event()    # clear=故障阻塞中, set=健康放行
-_gate_event.set()                # 初始状态：健康
-_gate_probing = False            # 是否已有探针在重试
-
 
 def parse_llm_json(text: str) -> Any:
     """解析 AI 输出的 JSON，自动去除思考标签、markdown 代码块，容错处理"""
@@ -45,13 +39,11 @@ def parse_llm_json(text: str) -> Any:
 
 
 async def ai_chat(llm: BaseChatModel, system_prompt: str, user_message: str, scene: Optional[str] = None) -> str:
-    """异步调用 LLM，返回原始文本。接口异常时触发门闸阻塞重试直到成功。"""
-    global _gate_probing
+    """异步调用 LLM，返回原始文本。失败后独立重试直到成功。"""
+    attempt = 0
 
     while True:
-        # 门闸检查：如果当前处于故障状态，阻塞等待直到探针恢复门闸
-        await _gate_event.wait()
-
+        attempt += 1
         try:
             messages = [
                 SystemMessage(content=system_prompt),
@@ -64,52 +56,8 @@ async def ai_chat(llm: BaseChatModel, system_prompt: str, user_message: str, sce
                 await _save_call_log(scene, system_prompt, user_message, content)
             return content
         except Exception as e:
-            # 接口失败 → 关闭门闸
-            if _gate_event.is_set():
-                _gate_event.clear()
-                log.error("AI 接口异常，门闸关闭，全部协程阻塞等待恢复: {}", e)
-
-            if not _gate_probing:
-                # 当前协程成为探针，负责退避重试直到成功
-                _gate_probing = True
-                await _probe_until_recover(llm, system_prompt, user_message)
-                # 探针恢复后，回到 while 循环顶部用业务数据重新调用
-                continue
-            # 已有探针在工作，回到 while 顶部 await _gate_event.wait() 等待唤醒
-
-
-async def _probe_until_recover(llm: BaseChatModel, system_prompt: str, user_message: str) -> str:
-    """探针：用轻量 hello 消息探测接口是否恢复，成功后打开门闸，原协程重新走正常流程"""
-    global _gate_probing
-
-    delay = 0.2  # 探测间隔 200ms
-    attempt = 0
-
-    try:
-        while True:
-            await asyncio.sleep(delay)
-            attempt += 1
-            try:
-                log.info("探针第{}次探测开始...", attempt)
-                messages = [
-                    SystemMessage(content="You are a helpful assistant."),
-                    HumanMessage(content="hello"),
-                ]
-                await llm.ainvoke(messages)
-                # 成功 → 打开门闸，唤醒所有等待协程
-                _gate_probing = False
-                _gate_event.set()
-                log.info("探针第{}次探测成功，AI 接口恢复，门闸打开", attempt)
-                break
-            except Exception as e:
-                log.warning("探针第{}次探测失败: {}", attempt, e)
-    except (asyncio.CancelledError, Exception) as e:
-        # 探针意外死亡 → 必须恢复门闸状态，否则所有 worker 永远阻塞
-        _gate_probing = False
-        _gate_event.set()
-        log.error("探针协程意外退出，强制打开门闸: {}", e)
-
-    return ""
+            log.warning("AI 调用失败(第{}次), 200ms 后重试: {}", attempt, e)
+            await asyncio.sleep(0.2)
 
 
 async def ai_chat_json(llm: BaseChatModel, system_prompt: str, user_message: str, scene: Optional[str] = None) -> Any: