feat: switch text risk filtering to AI-first with keyword fallback

core/pydantic_ai_agent.py

@@ -1687,16 +1687,21 @@ class CustomerServiceAgent:
 
         # 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
-            map_hit = self._is_map_inquiry(message.msg)
-            political_hit = self._is_political_inquiry(message.msg)
-            if should_block_customer(message.msg) or political_hit or map_hit:
+            from utils.content_filter import should_block_customer_smart
+            risk_hit, risk_category, _risk_reason = await should_block_customer_smart(message.msg)
+            map_hit = self._is_map_inquiry(message.msg) or (risk_category == "map")
+            political_hit = self._is_political_inquiry(message.msg) or (risk_category == "political")
+            if risk_hit or political_hit or map_hit:
                 # 命中敏感询问时清空待报价队列，避免旧图残留污染后续会话
                 state.pending_image_urls.clear()
                 state.pending_requirements.clear()
                 self._sync_pending_quote_state(message.from_id, state)
                 reject_text = "地图这类不做哈，这边不接地图相关需求。"
-                if political_hit and not map_hit:
+                if risk_category == "sexual":
+                    reject_text = "这类不做哈，涉黄擦边内容都不接。"
+                elif risk_category == "violent":
+                    reject_text = "这类不做哈，暴力血腥相关都不接。"
+                elif political_hit and not map_hit:
                     reject_text = "这类不做哈，政治相关图片和人物都不接。"
                 reply = await self._rewrite_reply_with_ai(
                     message=message,
@@ -1711,6 +1716,7 @@ class CustomerServiceAgent:
                     customer_id=message.from_id,
                     map_hit=map_hit,
                     political_hit=political_hit,
+                    risk_category=risk_category,
                     reply=reply,
                 )
                 return AgentResponse(reply=reply, should_reply=True, need_transfer=False)