feat: enforce full AI outbound generation and reduce template replies

core/pydantic_ai_agent.py

@@ -490,23 +490,9 @@ class CustomerServiceAgent:
         """
         收图阶段回复默认走 AI 改写，失败时回退到固定模板。
         """
-        # 首张收图先承接“我看一下”，避免机械地立刻催“发完统一报价”。
+        first_image_ack = "收到，我先看一下哈，稍等哈。"
         if scene == "collect_ack" and len(state.pending_image_urls) == 1:
-            first_ack = [
-                "收到了，我先看一下哈，稍等哈",
-                "这张我收到了，我先看下，稍等我一下哈",
-                "收到这张了，我先过一眼，稍等哈",
-                "我先看这张哈，稍等我一下",
-                "图我收到了，我先看一眼，稍等我回你哈",
-                "这张先记上了，我先看下细节，稍等哈",
-                "收到哈，我先过一遍这张，稍等我会儿",
-                "我先看这张效果，稍等一下哈",
-                "图到了，我先看下清晰度，稍等哈",
-                "这张我先看着，稍等我一下就回你",
-                "收到这张了，我先核一下细节，稍等哈",
-                "我先把这张看完，稍等我一会儿哈",
-            ]
-            return random.choice(first_ack)
+            fallback = first_image_ack
         if not self.dynamic_collection_replies:
             return fallback
         try:
@@ -525,7 +511,7 @@ class CustomerServiceAgent:
                 f"客户原话: {message.msg}\n"
                 f"当前已收图片数: {len(state.pending_image_urls)}\n"
                 f"当前需求摘要: {pending_req}\n"
-                "输出要求: 不超过2句话，像真人店主聊天。"
+                "输出要求: 不超过2句话，像真人店主聊天；避免复用固定模板句。"
             )
             result = await self.agent_natural_reply.run(user_prompt, deps=deps, message_history=history)
             self.message_histories[message.from_id] = result.all_messages()[-30:]
@@ -695,6 +681,44 @@ class CustomerServiceAgent:
         clean = msg.strip().rstrip("！!？?。.～~")
         return clean in self._COOLDOWN_PATTERNS
 
+    def _should_handle_as_meaningless_short_text(self, state: ConversationState, msg: str) -> bool:
+        """
+        无意义短句仅在“非业务处理中”生效，避免误拦截真实推进消息。
+        例如：已在收图/待报价阶段时，客户发“好的/在吗”不应直接 ping。
+        """
+        customer_text, _ = self._split_customer_text(msg or "")
+        text = (customer_text or "").strip()
+        if not _is_meaningless_short_text(text):
+            return False
+        if self._extract_image_urls(text):
+            return False
+        if (getattr(state, "pending_image_urls", None) or []):
+            return False
+        if getattr(state, "quote_phase", "idle") in {"collecting", "ready_to_quote", "waiting_result"}:
+            return False
+        return True
+
+    async def build_auto_quote_reply(self, state: ConversationState, message: CustomerMessage) -> AgentResponse:
+        """
+        自动报价内部入口：不走 process_message，避免伪造客户语句污染上下文。
+        """
+        quote_res = await self._quote_pending_images(state, message)
+        reply_text = self._colloquialize_reply(quote_res.get("reply", ""))
+        reply_text = await self._rewrite_reply_with_ai(
+            message=message,
+            state=state,
+            reply=reply_text,
+            scene="batch_quote_reply",
+        )
+        need_transfer = bool(quote_res.get("need_transfer"))
+        state.last_reply_at = datetime.now()
+        return AgentResponse(
+            reply=reply_text,
+            should_reply=not need_transfer,
+            need_transfer=need_transfer,
+            transfer_msg=TRANSFER_MESSAGE if need_transfer else "",
+        )
+
     async def process_message(self, message: CustomerMessage) -> AgentResponse:
         """处理客户消息并生成回复。"""
         return await process_incoming_message(self, message)