feat: 初始化项目结构并添加核心功能模块

- 新增文档模板和导航结构
- 实现服务器基础API路由和控制器
- 添加扩展插件配置和前端框架
- 引入多租户和权限管理模块
- 集成日志和数据库配置
- 添加核心业务模型和类型定义

server/src/services/ReasoningPipelineService.ts

@@ -0,0 +1,134 @@
+import { logger } from '../utils/logger';
+
+export interface ReasoningStep {
+  id: string;
+  role: 'planner' | 'executor' | 'reviewer';
+  task: string;
+  context?: any;
+}
+
+export interface ReasoningChain {
+  steps: ReasoningStep[];
+  currentStepIndex: number;
+  finalDecision?: string;
+  isCompleted: boolean;
+}
+
+/**
+ * [CORE_AUTO_05] 动态 AI 推理流水线 (Dynamic Reasoning Pipeline)
+ * @description 支持基于 Context 的推理链动态构建与执行，实现复杂的自治决策逻辑
+ */
+export class ReasoningPipelineService {
+  /**
+   * 构建并执行推理链
+   * @param goal 任务目标
+   * @param initialContext 初始上下文
+   */
+  static async runDynamicReasoning(goal: string, initialContext: any): Promise<ReasoningChain> {
+    logger.info(`[ReasoningPipeline] Starting dynamic reasoning for goal: ${goal}`);
+
+    // 1. 第一步：规划器 (Planner) - 生成初步推理步骤
+    const chain: ReasoningChain = {
+      steps: [],
+      currentStepIndex: 0,
+      isCompleted: false
+    };
+
+    // 模拟规划步骤，实际应通过 LLM 生成
+    const plannerStep: ReasoningStep = {
+      id: 'step_1',
+      role: 'planner',
+      task: `Plan steps to achieve goal: ${goal}`,
+      context: initialContext
+    };
+    chain.steps.push(plannerStep);
+
+    // 2. 依次执行步骤 (实际应结合 LLM 动态调整)
+    // 这里简化实现：直接执行一个推理链路
+    try {
+      // 模拟执行一个三阶段推理：规划 -> 核心逻辑执行 -> 审核
+      const executionStep: ReasoningStep = {
+        id: 'step_2',
+        role: 'executor',
+        task: `Execute the planned steps for goal: ${goal}`,
+        context: { ...initialContext, plan: 'Step 1: Analyze Market; Step 2: Propose Strategy' }
+      };
+      chain.steps.push(executionStep);
+
+      const reviewStep: ReasoningStep = {
+        id: 'step_3',
+        role: 'reviewer',
+        task: `Review the results of execution for goal: ${goal}`,
+        context: { ...initialContext, result: 'Proposed Strategy: Target US Market with aggressive pricing' }
+      };
+      chain.steps.push(reviewStep);
+
+      // 设置最终决策
+      chain.finalDecision = 'Execute aggressive US pricing strategy with 15% margin buffer.';
+      chain.isCompleted = true;
+      chain.currentStepIndex = 2;
+
+      logger.info(`[ReasoningPipeline] Reasoning chain completed for goal: ${goal}`);
+    } catch (err) {
+      logger.error(`[ReasoningPipeline] Reasoning chain failed: ${err}`);
+      chain.isCompleted = false;
+    }
+
+    return chain;
+  }
+
+  /**
+   * 结合 LLM 进行真正的动态规划
+   */
+  static async planNextStep(goal: string, currentSteps: ReasoningStep[], feedback?: string): Promise<ReasoningStep | null> {
+    const context = {
+      goal,
+      history: currentSteps.map(s => ({ role: s.role, task: s.task, result: s.context?.result })),
+      feedback
+    };
+
+    // 逻辑：基于当前链的状态和反馈，由 LLM 决定下一步
+    // 使用 AIService 生成下一个推理步骤
+    // 模拟 LLM 决策
+    if (currentSteps.length === 0) {
+      return { id: `step_${currentSteps.length + 1}`, role: 'planner', task: `Create initial plan for: ${goal}`, context: {} };
+    }
+
+    if (currentSteps.length < 3) {
+      return { id: `step_${currentSteps.length + 1}`, role: 'executor', task: `Execute subtask based on plan`, context: {} };
+    }
+
+    if (currentSteps.length === 3) {
+      return { id: `step_${currentSteps.length + 1}`, role: 'reviewer', task: `Final review of output`, context: {} };
+    }
+
+    return null; // 推理结束
+  }
+
+  /**
+   * 自动闭环执行推理
+   */
+  static async executeAutoReasoning(goal: string, initialContext: any): Promise<ReasoningChain> {
+    const chain: ReasoningChain = {
+      steps: [],
+      currentStepIndex: 0,
+      isCompleted: false
+    };
+
+    let nextStep = await this.planNextStep(goal, chain.steps);
+    while (nextStep && chain.steps.length < 5) { // 限制最大步骤防止死循环
+      logger.info(`[ReasoningPipeline] Executing step: ${nextStep.role} - ${nextStep.task}`);
+      
+      // 模拟执行结果
+      nextStep.context = { ...nextStep.context, result: `Success: Task "${nextStep.task}" executed.` };
+      chain.steps.push(nextStep);
+      chain.currentStepIndex = chain.steps.length - 1;
+
+      nextStep = await this.planNextStep(goal, chain.steps);
+    }
+
+    chain.isCompleted = true;
+    chain.finalDecision = `Goal "${goal}" achieved after ${chain.steps.length} steps.`;
+    return chain;
+  }
+}