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ai-chat-thread.entity.ts\n├── ai-chat-message.entity.ts\n├── ai-chat-memory.entity.ts\n├── ai-chat-skill.entity.ts\n├── ai-mcp-server.entity.ts\n├── ai-model-config.entity.ts\n├── ai-knowledge-base.entity.ts\n└── ai-kb-document.entity.ts\n```\n\n### 3. 实现 SPI Store\n\n业务项目需要为每个 SPI 接口提供 TypeORM 实现：\n\n```typescript\n// src/store/agent-profile.store.ts\nimport { Provide } from '@midwayjs/core';\nimport { InjectDataSource } from '@midwayjs/typeorm';\nimport { DataSource, Repository } from 'typeorm';\nimport { SPI_BINDINGS, type AgentProfileStore } from '@cicctencent/agent-midway';\nimport AIAgentProfileEntity from '../model/ai-agent-profile.entity';\n\n@Provide(SPI_BINDINGS.AgentProfileStore)\nexport class AgentProfileStoreImpl implements AgentProfileStore {\n    @InjectDataSource('default')\n    dataSource: DataSource;\n\n    // 实现 AgentProfileStore 的所有方法...\n}\n```\n\n### 4. 在 configuration.ts 中引入\n\n```typescript\nimport { Configuration } from '@midwayjs/core';\nimport * as orm from '@midwayjs/typeorm';\nimport * as baseMidwayjs from '@cicctencent/midwayjs-base';\nimport * as agentMidway from '@cicctencent/agent-midway';\n\n@Configuration({\n    imports: [\n        baseMidwayjs,\n        orm,\n        agentMidway,  // ← 一行接入全部 AI 控制器/服务\n    ],\n    importConfigs: [join(__dirname, './config')],\n})\nexport class ContainerLifeCycle {}\n```\n\n### 5. 配置 TypeORM 实体扫描\n\n```typescript\n// config/config.default.ts\nexport default {\n    typeorm: {\n        dataSource: {\n            default: {\n                // 业务项目自己的实体通过 glob 扫描加载\n                entities: ['**/model/**/*.entity{.ts,.js}'],\n            },\n        },\n    },\n    // AI Workstation 组件配置\n    aiMidway: {\n        enabled: true,\n        prefix: '/api',\n        features: {\n            agent: true,\n            chat: true,\n            // ... 按需开关\n        },\n    },\n};\n```\n\n## SPI Store 接口\n\n| 接口 | 绑定标识 | 说明 |\n|------|---------|------|\n| `AgentProfileStore` | `SPI_BINDINGS.AgentProfileStore` | Agent Profile 数据存储 |\n| `ApplicationStore` | `SPI_BINDINGS.ApplicationStore` | 应用数据存储 |\n| `MCPServerStore` | `SPI_BINDINGS.MCPServerStore` | MCP Server 数据存储 |\n| `ModelConfigStore` | `SPI_BINDINGS.ModelConfigStore` | 模型配置数据存储 |\n| `ChatStore` | `SPI_BINDINGS.ChatStore` | 聊天数据存储 |\n| `KnowledgeBaseStore` | `SPI_BINDINGS.KnowledgeBaseStore` | 知识库数据存储 |\n| `AutomationStore` | `SPI_BINDINGS.AutomationStore` | 自动化任务数据存储 |\n| `MemoryDBStore` | `SPI_BINDINGS.MemoryDBStore` | Agent 记忆数据存储 |\n\n## 功能模块\n\n| 模块 | 路由前缀 | 说明 |\n|------|---------|------|\n| Agent 运行 | `/api/agent` | 流式/非流式运行、任务队列 |\n| Agent 测试 | `/api/agent/test-stream` | 测试模式流式运行（禁用委派，不持久化） |\n| 聊天管理 | `/api/chat` | 工作空间/线程/消息 CRUD |\n| Agent Profile | `/api/agent-profiles` | Agent 配置管理 |\n| Application | `/api/applications` | 多应用隔离 |\n| MCP Server | `/api/mcp-servers` | MCP 服务器管理 |\n| 模型配置 | `/api/model-configs` | 多模型供应商配置 |\n| 设置 | `/api/settings` | 全局设置 |\n| 安全审计 | `/api/security` | 审计日志、工具风险 |\n| 自动化 | `/api/automations` | Cron 定时任务 |\n| 连接器 | `/api/connectors` | 数据源适配器 |\n| A2A 协议 | `/.well-known/agent.json`, `/a2a` | Agent 间互操作 |\n| IM 渠道 | `/api/channels` | 飞书/钉钉/企微 |\n| 可观测性 | `/api/observability` | 链路追踪、指标、仪表板 |\n| 知识库 | `/api/knowledge-bases` | 向量搜索 |\n\n### Agent 测试端点\n\n`POST /api/agent/test-stream` — Agent 配置页面调试专用\n\n请求体：\n```json\n{ \"prompt\": \"测试消息\", \"profileId\": 1 }\n```\n\n特点：\n- 禁用委派（`delegate_task` 工具不注册）\n- 不持久化消息（不创建线程）\n- 使用独立引擎缓存，不污染正常对话\n\n返回 SSE 流，事件类型：`reasoning` / `content` / `tool-call` / `tool-result` / `done` / `error`\n\n## 按需开关\n\n```typescript\naiMidway: {\n    features: {\n        agent: true,\n        chat: true,\n        agentProfile: true,\n        application: true,\n        mcpServer: false,\n        modelConfig: false,\n        settings: false,\n        security: false,\n        automation: false,\n        connectors: false,\n        a2a: false,\n        channels: false,\n        observability: false,\n        knowledgeBase: false,\n    },\n}\n```\n","readmeFilename":"README.md"}