多专家协同：提升 AI 工作完成率的实战指南（完整指南篇）

class ExpertCollaboration:
    """多专家协作系统核心类"""

    def __init__(self):
        self.cabinet = Cabinet()  # 内阁：前置分析
        self.dispatcher = Dispatcher()  # 司礼监：任务调度
        self.experts = {...}  # 六部：执行层
        self.auditor = Auditor()  # 都察院：后置审查

    def execute(self, task):
        # 三步执行流程
        analysis = self.cabinet.analyze(task)
        assignments = self.dispatcher.dispatch(analysis)
        results = self.execute_experts(assignments)
        audit = self.auditor.audit(results)

        # 打回重做机制
        while not audit.approved:
            for issue in audit.issues:
                self.fix_issue(issue)
            audit = self.auditor.audit(results)

        return self.summarize(results)

class EventBus:
    """统一的消息总线"""

    def publish(self, event_type: str, payload: dict):
        """发布事件"""
        message = {
            'type': event_type,
            'payload': payload,
            'timestamp': time.time()
        }
        # 广播给所有订阅者
        for subscriber in self.subscribers.get(event_type, []):
            subscriber.handle(message)

    def subscribe(self, event_type: str, handler):
        """订阅事件"""
        if event_type not in self.subscribers:
            self.subscribers[event_type] = []
        self.subscribers[event_type].append(handler)

class Aggregator:
    """结果聚合器"""

    def aggregate(self, proposals: List[Proposal]) -> Solution:
        if len(proposals) == 1:
            return proposals[0]

        # 简单场景：多数投票
        if self.is_simple_scenario():
            return self.majority_vote(proposals)

        # 复杂场景：加权评分
        elif self.is_complex_scenario():
            return self.weighted_scoring(proposals)

        # 风险场景：保守采纳
        else:
            return self.conservative_adopt(proposals)