refactor: extract ai reply finalization flow from agent

core/pydantic_ai_agent.py

@@ -29,6 +29,7 @@ from core.agent_pre_rules import AgentPreRuleService
 from core.find_image_flow import handle_find_image_batch_flow
 from core.order_flow import handle_order_notification
 from core.ai_reply_flow import execute_ai_turn
+from core.reply_finalize_flow import finalize_ai_reply
 
 load_dotenv()
 
@@ -1885,92 +1886,13 @@ class CustomerServiceAgent:
                 need_transfer=False
             )
 
-        # 敏感词过滤：党政/暴力/血腥/黄色
-        try:
-            from utils.content_filter import should_block_reply
-            blocked, fallback = should_block_reply(reply_text)
-            if blocked:
-                print(f"[Agent] 敏感词拦截，使用兜底回复")
-                reply_text = fallback or "好的，您稍等，我帮您确认一下"
-        except Exception:
-            pass
-
-        # 成本统计（可选）
-        try:
-            from utils.api_cost_tracker import record
-            record("openai_chat", count=1)
-        except Exception:
-            pass
-
-        # 检测是否报价
-        self._detect_price(reply_text, state)
-
-        # 检测压价
-        self._detect_discount(message.msg, state)
-
-        # 自动打标签（异步，不阻塞）
-        asyncio.create_task(self._auto_tag(message, reply_text, state))
-        
-        # 检测是否需要转接（文字触发 或 AI 调用了 transfer_to_human 工具）
-        need_transfer = False
-        transfer_msg = ""
-        transfer_keywords = ["TRANSFER_REQUESTED", "[转移会话]", "转移会话", "转人工", "转接"]
-        if reply_text and any(kw in reply_text for kw in transfer_keywords):
-            need_transfer = True
-            transfer_msg = TRANSFER_MESSAGE
-            metrics_emit("transfer_to_human", customer_id=message.from_id, acc_id=message.acc_id)
-
-        # 自我进化候选策略灰度（默认 5%）：风险投诉场景强制转人工，并补安抚话术
-        evo_hit = self._evolution_enabled_for_customer(message.from_id)
-        if evo_hit and self._is_service_risk_inquiry(message.msg):
-            if self._evolution_has_proposal("policy-risk-transfer"):
-                need_transfer = True
-                transfer_msg = TRANSFER_MESSAGE
-                metrics_emit("evolution_force_transfer", customer_id=message.from_id, acc_id=message.acc_id)
-            if self._evolution_has_proposal("tone-empathy-pack"):
-                reply_text = "抱歉让您不舒服了，这边先为您转接人工专员马上处理。"
-                metrics_emit("evolution_empathy_reply", customer_id=message.from_id, acc_id=message.acc_id)
-
-        # 未成交记录：客户表达放弃且已报价过（转人工不记录）
-        customer_text, _ = self._split_customer_text(message.msg)
-        no_convert_keywords = ["算了", "不要了", "不做了", "下次再说", "先不弄了"]
-        if customer_text and state.last_price and state.last_price > 0:
-            if any(kw in customer_text for kw in no_convert_keywords):
-                reason = "嫌贵放弃" if any(k in customer_text for k in ["贵", "贵了", "便宜"]) else "放弃"
-                asyncio.create_task(self._record_deal_fail(
-                    message.from_id, message.from_name, message.acc_id, message.acc_type, reason
-                ))
-
-        # 需要转接时不把原始回复发给客户
-        should_reply = bool(reply_text and reply_text.strip()) and not need_transfer
-        if evo_hit and need_transfer and self._evolution_has_proposal("tone-empathy-pack"):
-            should_reply = True
-
-        if should_reply:
-            reply_text = await self._rewrite_reply_with_ai(
-                message=message,
-                state=state,
-                reply=reply_text,
-                scene="final_reply",
-            )
-
-        # 记录本次回复时间，供冷却期判断
-        if should_reply:
-            state.last_reply_at = datetime.now()
-            print(f"{self.C_REPLY}[REPLY->CUSTOMER]{self.C_RESET} {reply_text}")
-        else:
-            print(f"{self.C_MUTED}[REPLY->CUSTOMER]{self.C_RESET} <静默/不发送>")
-        self._activity_log(
-            "agent_outbound_decision",
-            customer_id=message.from_id,
-            should_reply=should_reply,
-            need_transfer=need_transfer,
-            reply=reply_text or "",
-            transfer_msg=transfer_msg,
+        return await finalize_ai_reply(
+            self,
+            message=message,
+            state=state,
+            reply_text=reply_text,
         )
 
-        return AgentResponse(reply=reply_text or "", should_reply=should_reply, need_transfer=need_transfer, transfer_msg=transfer_msg)
-
     def _detect_price(self, reply: str, state: ConversationState):
         """从回复中提取价格，同步写入客户数据库（价格必须为5的整数倍）"""
         import re