feat: Day 10-11 - Agent Configuration System completed

Backend:
- Create agents.yaml config file with 12 agents definition
- Create Prompt templates for topic-evaluation agent
- Implement agentService.ts for loading and managing agent configs
- Create agentController.ts with CRUD operations
- Create agent routes (GET /agents, /agents/:id, etc.)
- Register agent routes in main server

Frontend:
- Create agentApi.ts service module
- Update AgentChatPage to dynamically load agent config from API
- Add loading state and error handling
- Display agent details (description, category, model)

Build: Both frontend and backend build successfully

frontend/src/api/agentApi.ts

@@ -0,0 +1,77 @@
+import request from './request';
+
+export interface AgentConfig {
+  id: string;
+  name: string;
+  nameEn: string;
+  description: string;
+  category: string;
+  icon: string;
+  enabled: boolean;
+  systemPromptFile: string;
+  userPromptTemplateFile: string;
+  models: {
+    [modelName: string]: {
+      temperature: number;
+      maxTokens: number;
+      topP?: number;
+    };
+  };
+  ragEnabled: boolean;
+  requiresProject: boolean;
+  outputFormat: 'text' | 'structured' | 'document';
+  tags: string[];
+}
+
+export interface ApiResponse<T = any> {
+  success: boolean;
+  data?: T;
+  message?: string;
+  error?: string;
+}
+
+export const agentApi = {
+  // 获取所有智能体列表
+  getAll: async (): Promise<ApiResponse<AgentConfig[]>> => {
+    const response = await request.get('/agents');
+    return response.data;
+  },
+
+  // 获取启用的智能体列表
+  getEnabled: async (): Promise<ApiResponse<AgentConfig[]>> => {
+    const response = await request.get('/agents/enabled');
+    return response.data;
+  },
+
+  // 获取单个智能体详情
+  getById: async (id: string): Promise<ApiResponse<AgentConfig>> => {
+    const response = await request.get(`/agents/${id}`);
+    return response.data;
+  },
+
+  // 根据分类获取智能体
+  getByCategory: async (category: string): Promise<ApiResponse<AgentConfig[]>> => {
+    const response = await request.get(`/agents/by-category?category=${encodeURIComponent(category)}`);
+    return response.data;
+  },
+
+  // 获取智能体的系统Prompt
+  getSystemPrompt: async (id: string): Promise<ApiResponse<{ agentId: string; systemPrompt: string }>> => {
+    const response = await request.get(`/agents/${id}/system-prompt`);
+    return response.data;
+  },
+
+  // 渲染用户Prompt
+  renderPrompt: async (
+    id: string,
+    data: {
+      projectBackground?: string;
+      userInput: string;
+      knowledgeBaseContext?: string;
+    }
+  ): Promise<ApiResponse<{ agentId: string; renderedPrompt: string }>> => {
+    const response = await request.post(`/agents/${id}/render-prompt`, data);
+    return response.data;
+  },
+};
+