# 工作流程伪代码示例
class DeepThinkWorkflow:
    def __init__(self):
        self.agents = []  # 智能体集合
        self.knowledge_base = []  # 知识库
        self.current_iteration = 0  # 当前迭代次数
    
    def forward_propagation(self, problem):
        """前向传播：分解问题并分配给智能体"""
        # 分解问题
        subproblems = self.decompose_problem(problem)
        
        # 分配给不同智能体
        results = []
        for subproblem in subproblems:
            agent = self.select_agent(subproblem)
            result = agent.process(subproblem)
            results.append(result)
        
        # 加工重构
        processed_result = self.process_and_refine(results)
        return processed_result
    
    def reflection_propagation(self, result):
        """反思传播：评估并改进"""
        # 评估输出
        evaluation = self.evaluate_result(result)
        
        # 生成更难的问题
        harder_questions = self.generate_questions(evaluation)
        
        # 动态修改智能体提示
        self.update_agent_prompts(harder_questions)
        
        return harder_questions
    
    def harvest_propagation(self, process_data):
        """收获传播：积累知识并生成报告"""
        # 存入知识库
        self.knowledge_base.append(process_data)
        
        # 构建RAG知识库
        rag_knowledge = self.build_rag_knowledge_base()
        
        # 生成报告
        report = self.generate_report(rag_knowledge)
        
        return report
    
    def run_workflow(self, problem, max_iterations=3):
        """运行完整工作流程"""
        current_problem = problem
        
        for i in range(max_iterations):
            # 前向传播
            result = self.forward_propagation(current_problem)
            
            # 反思传播
            new_questions = self.reflection_propagation(result)
            
            # 如果没有新问题，结束循环
            if not new_questions:
                break
                
            current_problem = new_questions
        
        # 收获传播
        final_report = self.harvest_propagation({
            "problem": problem,
            "iterations": i + 1,
            "results": result
        })
        
        return final_report