从模型集成到智能体协同：AI应用架构的演进观察

# 简化的模型集成示例
class RecommendationEnsemble:
    def __init__(self):
        self.cold_start_model = load_cold_start_model()  # 专门处理新用户
        self.main_model = load_main_recommendation_model()  # 核心推荐
        self.real_time_model = load_lightweight_model()  # 实时响应
    
    async def recommend(self, user_context):
        # 并行调用不同模型
        cold_start_task = asyncio.create_task(
            self.cold_start_model.predict(user_context)
        )
        main_task = asyncio.create_task(
            self.main_model.predict(user_context)
        )
        
        # 根据场景选择或融合结果
        if user_context.is_new_user:
            return await cold_start_task
        else:
            main_results = await main_task
            real_time_adjust = self.real_time_model.adjust(main_results)
            return real_time_adjust

class AgentWorkflow:
    def __init__(self):
        self.message_bus = MessageBus()
        self.agents = {
            'detector': ContentDetectionAgent(),
            'validator': ContentValidationAgent(), 
            'decider': FinalDecisionAgent()
        }
    
    async def process_content(self, content):
        # 启动工作流
        detection_result = await self.agents['detector'].process(content)
        
        if detection_result.needs_validation:
            validation_result = await self.agents['validator'].process(
                detection_result
            )
            final_decision = await self.agents['decider'].process(
                validation_result
            )
        else:
            final_decision = detection_result
        
        return final_decision