效果回退：当 AI 没把握时，智慧藏在“后退一步”里

# -*- coding: utf-8 -*-"""效果回退与人工接管模拟器"""import randomimport time  class FallbackSystem:    """模拟一个带有效果回退机制的AI服务"""     def __init__(self, threshold=0.6):        self.threshold = threshold      # 置信度阈值        self.ai_calls = 0               # AI 直接回答次数        self.fallback_calls = 0         # 规则兜底次数        self.hitl_calls = 0             # 人工接管次数        self.ai_error = 0               # AI 硬撑出错次数        self.rule_templates = {            "退款": "亲，退款政策请查看帮助中心，符合条件会按原路退回哦~",            "物流": "您的包裹正在飞奔，可以在订单详情页查看实时物流~",        }        self.human_agents = 2           # 人工坐席数量     def ai_predict(self, query):        """模拟AI模型返回答案和置信度"""        conf = random.uniform(0.2, 0.95)        preset = {            "退款怎么办理？": 0.92,            "有哪些产品？": 0.78,            "能开发票吗？": 0.35,            "周六营业吗？": 0.55,            "质量问题怎么办？": 0.45,        }        conf = preset.get(query.strip("？? "), conf)        answer = f"AI生成回答：关于「{query}」，我们的建议是..."        return answer, conf     def rule_fallback(self, query):        """规则模板兜底"""        for key, reply in self.rule_templates.items():            if key in query:                return reply        return "亲，您的问题比较专业，已为您转接人工客服，请稍候~"     def human_review(self, query):        """模拟人工接管"""        time.sleep(0.3)        return f"【人工坐席】您的问题「{query}」已由客服专员#{self.hitl_calls + 1}跟进处理"     def handle(self, query):        """核心决策流程"""        answer, conf = self.ai_predict(query)        if conf >= self.threshold:            self.ai_calls += 1            return answer, "AI直答", conf        # 低置信度：先尝试规则兜底        rule_reply = self.rule_fallback(query)        if "转接" in rule_reply:            self.hitl_calls += 1            return self.human_review(query), "人工接管", conf        self.fallback_calls += 1        return rule_reply, "规则兜底", conf     def report(self):        """输出运行统计"""        total = self.ai_calls + self.fallback_calls + self.hitl_calls        print(f"\n🎯 总计请求: {total} | 阈值: {self.threshold:.2f}")        print(f"🤖 AI直答: {self.ai_calls} ({self.ai_calls/total:.1%})")        print(f"📋 规则兜底: {self.fallback_calls} ({self.fallback_calls/total:.1%})")        print(f"🧑‍💼 人工接管: {self.hitl_calls} ({self.hitl_calls/total:.1%})")        if total > 0:            ratio = (self.fallback_calls + self.hitl_calls) / total            print(f"📊 综合回退率: {ratio:.1%}")  def main():    system = FallbackSystem(threshold=0.6)    questions = [        "退款怎么办理？", "有没有优惠活动？", "能开发票吗？",        "周六营业吗？", "质量问题怎么办？", "物流太慢了！",        "你们的地址在哪？", "怎么联系客服？", "有实体店吗？",        "会员怎么开通？"    ]    print(f"🔥 效果回退模拟演示 | 当前阈值 {system.threshold:.2f}")    print("-" * 50)    for q in questions:        result, strategy, conf = system.handle(q)        print(f"用户: {q}")        print(f"策略: [{strategy}] 置信度: {conf:.2f}")        print(f"回复: {result}\n")        time.sleep(0.2)    system.report()  if __name__ == "__main__":    main()