diff --git a/core/pydantic_ai_agent.py b/core/pydantic_ai_agent.py
index 0d78a7e..aa7be2e 100755
--- a/core/pydantic_ai_agent.py
+++ b/core/pydantic_ai_agent.py
@@ -10,6 +10,7 @@ import glob
 import asyncio
 import random
 import hashlib
+import re
 from typing import Optional, Dict, List, Any, Tuple
 from datetime import datetime
 from pydantic import BaseModel, Field
@@ -1056,6 +1057,25 @@ class CustomerServiceAgent:
 - 黄色/擦边/涉政/政治人物/政治事件/政治图片等不接单，礼貌拒绝
 - 输出不超过1句话"""
 
+    @staticmethod
+    def _is_political_inquiry(text: str) -> bool:
+        """文本前置风控：政治人物/政治事件/政治图片相关询问一律拒绝。"""
+        s = (text or "").strip().lower()
+        if not s:
+            return False
+        kw = (
+            "政治", "涉政", "党政", "政治人物", "政治事件", "政治图片", "政治海报", "政治宣传",
+            "领导人", "伟人", "元帅", "将军", "红色人物", "党史",
+            "天安门", "人民大会堂", "中南海",
+            "习近平", "毛泽东", "邓小平", "江泽民", "胡锦涛", "李克强", "周恩来",
+            "特朗普", "拜登", "普京", "泽连斯基",
+            "trump", "biden", "putin", "zelensky", "xi jinping",
+        )
+        if any(k in s for k in kw):
+            return True
+        # 兜底：类似“有没有十大元帅的照片/图片”
+        return bool(re.search(r"(元帅|将军|领导人|政治人物|政治事件).*(照片|图片|头像|原图)?", s))
+
     def _get_customer_profile_context(self, customer_id: str) -> str:
         """从数据库读取客户画像，注入给 AI。含个性化语气、报价策略、主动预测、近期对话。"""
         try:
@@ -1314,6 +1334,21 @@ class CustomerServiceAgent:
             print(f"[Agent] 冷却期静默（距上次回复 {elapsed}s）：{message.msg!r}")
             return AgentResponse(reply="", should_reply=False, need_transfer=False)
 
+        # 前置风控：客户文本一旦命中政治/敏感询问，直接拒绝，避免“发图我看看”类答非所问
+        try:
+            from utils.content_filter import should_block_customer
+            if should_block_customer(message.msg) or self._is_political_inquiry(message.msg):
+                reply = "这类不做哈，政治相关图片和人物都不接。"
+                state.last_reply_at = datetime.now()
+                print(f"{self.C_REPLY}[REPLY->CUSTOMER]{self.C_RESET} {reply}")
+                return AgentResponse(reply=reply, should_reply=True, need_transfer=False)
+        except Exception:
+            if self._is_political_inquiry(message.msg):
+                reply = "这类不做哈，政治相关图片和人物都不接。"
+                state.last_reply_at = datetime.now()
+                print(f"{self.C_REPLY}[REPLY->CUSTOMER]{self.C_RESET} {reply}")
+                return AgentResponse(reply=reply, should_reply=True, need_transfer=False)
+
         # 检测售前/售后
         new_stage = self._detect_stage(message.msg)
         if new_stage != state.stage:
@@ -1461,11 +1496,12 @@ class CustomerServiceAgent:
                 "特朗普", "拜登", "普京", "泽连斯基",
             ]
             target_agent = self.agent_after_sale if state.stage == "售后" else self.agent
-            if any(k in msg_lower for k in risk_kw):
+            risk_hit = any(k in msg_lower for k in risk_kw) or self._is_political_inquiry(message.msg)
+            if risk_hit:
                 target_agent = self.agent_risk
             elif any(k in message.msg for k in order_markers):
                 target_agent = self.agent_order
-            if any(k in msg_lower for k in processing_kw):
+            elif any(k in msg_lower for k in processing_kw):
                 target_agent = self.agent_processing
             elif any(k in msg_lower for k in pricing_kw):
                 target_agent = self.agent_pricing