fix: disable legacy fast quote path and tighten dense-text rejection

core/pydantic_ai_agent.py

@@ -1342,12 +1342,19 @@ class CustomerServiceAgent:
         try:
             from utils.content_filter import should_block_customer
             if should_block_customer(message.msg) or self._is_political_inquiry(message.msg):
+                # 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)
                 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):
+                state.pending_image_urls.clear()
+                state.pending_requirements.clear()
+                self._sync_pending_quote_state(message.from_id, state)
                 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}")

core/websocket_client.py

@@ -98,6 +98,8 @@ class QingjianAPIClient:
         self._agent_semaphore = asyncio.Semaphore(8)
         self._pending_images: dict = {}
         self._pending_image_tasks: dict = {}
+        # 旧版“看图即报价”快速链路（默认关闭，避免与 Agent 批量收集逻辑并发打架）
+        self._legacy_fast_quote_enabled = os.getenv("LEGACY_FAST_IMAGE_QUOTE", "false").lower() in ("1", "true", "yes")
         self._system_inquiry_rules = self._load_system_inquiry_rules()
         self._last_reply_sent_at: dict = {}  # customer_key -> monotonic ts
         self._inbound_log_seen: dict = {}    # signature -> monotonic ts（防重复写入）
@@ -600,6 +602,7 @@ class QingjianAPIClient:
             _cid  = data.get('from_id', '')
             _name = self.to_chinese(data.get('from_name', '') or data.get('cy_name', ''))
             _plat = data.get('acc_type', '')
+            _shop_type = _get_shop_type(data.get('acc_id', ''), self.to_chinese(data.get('goods_name', '') or ''))
 
             # 超大尺寸（米制）直接拒单，避免进入报价/处理流程
             oversize_reply = self._oversize_reply_if_needed(msg_text)
@@ -607,6 +610,8 @@ class QingjianAPIClient:
                 await self.send_reply(data, oversize_reply)
                 return
 
+            # 找图/修图店铺：统一走 Agent 的“收集需求后统一报价”流程，避免按单图快速报价
+            if self._legacy_fast_quote_enabled and _shop_type != "find_image":
                 # 消息含图片URL：累积到待处理列表，先询问要求
                 if self._msg_has_image_url(msg_text):
                     urls = self._extract_image_urls(msg_text)

image/image_analyzer.py

@@ -579,7 +579,7 @@ class ImageAnalyzer:
         )
         dense_text_hint = any(
             kw in scene_text
-            for kw in ("密集文字", "大量文字", "小字", "多板块", "细字")
+            for kw in ("密集文字", "大量文字", "多板块")
         )
 
         # 校验比例合法性