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@cicctencent/agent-midway

v0.1.26

Published

MidwayJS AI Workstation Service layer — MidwayJS services for Agent/Chat/Profile/MCP/Model/Skill management with SPI extensibility

Readme

@cicctencent/agent-midway

MidwayJS AI 集成层组件 — 提供 MidwayJS Controller / Service / DTO 封装,通过 SPI Store 接口对接业务层 DB 实现。

定位

@cicctencent/agent-midwayMidwayJS Integration Layer,不是通用 AI framework 或 DB schema 提供者。

  • Controller / Service / DTO:MidwayJS 专属的 HTTP 接入层封装
  • SPI Store 接口:定义数据存储抽象,由业务层实现 TypeORM Entity / Repository
  • 不定义 DB Model:TypeORM Entity 和表结构由业务应用(如 work 项目)自行定义
  • 不重复实现 agent-core / agent-server:底层能力由 @cicctencent/agent-core@cicctencent/agent-server 提供

快速接入

1. 安装依赖

pnpm add @cicctencent/agent-midway

2. 在业务项目中定义 DB Entity

业务项目需要在自己的 src/model/ 目录下定义 TypeORM Entity,例如:

src/model/
├── ai-agent-profile.entity.ts
├── ai-application.entity.ts
├── ai-chat-workspace.entity.ts
├── ai-chat-thread.entity.ts
├── ai-chat-message.entity.ts
├── ai-chat-memory.entity.ts
├── ai-chat-skill.entity.ts
├── ai-mcp-server.entity.ts
├── ai-model-config.entity.ts
├── ai-knowledge-base.entity.ts
└── ai-kb-document.entity.ts

3. 实现 SPI Store

业务项目需要为每个 SPI 接口提供 TypeORM 实现:

// src/store/agent-profile.store.ts
import { Provide } from '@midwayjs/core';
import { InjectDataSource } from '@midwayjs/typeorm';
import { DataSource, Repository } from 'typeorm';
import { SPI_BINDINGS, type AgentProfileStore } from '@cicctencent/agent-midway';
import AIAgentProfileEntity from '../model/ai-agent-profile.entity';

@Provide(SPI_BINDINGS.AgentProfileStore)
export class AgentProfileStoreImpl implements AgentProfileStore {
    @InjectDataSource('default')
    dataSource: DataSource;

    // 实现 AgentProfileStore 的所有方法...
}

4. 在 configuration.ts 中引入

import { Configuration } from '@midwayjs/core';
import * as orm from '@midwayjs/typeorm';
import * as baseMidwayjs from '@cicctencent/midwayjs-base';
import * as agentMidway from '@cicctencent/agent-midway';

@Configuration({
    imports: [
        baseMidwayjs,
        orm,
        agentMidway,  // ← 一行接入全部 AI 控制器/服务
    ],
    importConfigs: [join(__dirname, './config')],
})
export class ContainerLifeCycle {}

5. 配置 TypeORM 实体扫描

// config/config.default.ts
export default {
    typeorm: {
        dataSource: {
            default: {
                // 业务项目自己的实体通过 glob 扫描加载
                entities: ['**/model/**/*.entity{.ts,.js}'],
            },
        },
    },
    // AI Workstation 组件配置
    aiMidway: {
        enabled: true,
        prefix: '/api',
        features: {
            agent: true,
            chat: true,
            // ... 按需开关
        },
    },
};

SPI Store 接口

| 接口 | 绑定标识 | 说明 | |------|---------|------| | AgentProfileStore | SPI_BINDINGS.AgentProfileStore | Agent Profile 数据存储 | | ApplicationStore | SPI_BINDINGS.ApplicationStore | 应用数据存储 | | MCPServerStore | SPI_BINDINGS.MCPServerStore | MCP Server 数据存储 | | ModelConfigStore | SPI_BINDINGS.ModelConfigStore | 模型配置数据存储 | | ChatStore | SPI_BINDINGS.ChatStore | 聊天数据存储 | | KnowledgeBaseStore | SPI_BINDINGS.KnowledgeBaseStore | 知识库数据存储 | | AutomationStore | SPI_BINDINGS.AutomationStore | 自动化任务数据存储 | | MemoryDBStore | SPI_BINDINGS.MemoryDBStore | Agent 记忆数据存储 |

功能模块

| 模块 | 路由前缀 | 说明 | |------|---------|------| | Agent 运行 | /api/agent | 流式/非流式运行、任务队列 | | Agent 测试 | /api/agent/test-stream | 测试模式流式运行(禁用委派,不持久化) | | 聊天管理 | /api/chat | 工作空间/线程/消息 CRUD | | Agent Profile | /api/agent-profiles | Agent 配置管理 | | Application | /api/applications | 多应用隔离 | | MCP Server | /api/mcp-servers | MCP 服务器管理 | | 模型配置 | /api/model-configs | 多模型供应商配置 | | 设置 | /api/settings | 全局设置 | | 安全审计 | /api/security | 审计日志、工具风险 | | 自动化 | /api/automations | Cron 定时任务 | | 连接器 | /api/connectors | 数据源适配器 | | A2A 协议 | /.well-known/agent.json, /a2a | Agent 间互操作 | | IM 渠道 | /api/channels | 飞书/钉钉/企微 | | 可观测性 | /api/observability | 链路追踪、指标、仪表板 | | 知识库 | /api/knowledge-bases | 向量搜索 |

Agent 测试端点

POST /api/agent/test-stream — Agent 配置页面调试专用

请求体:

{ "prompt": "测试消息", "profileId": 1 }

特点:

  • 禁用委派(delegate_task 工具不注册)
  • 不持久化消息(不创建线程)
  • 使用独立引擎缓存,不污染正常对话

返回 SSE 流,事件类型:reasoning / content / tool-call / tool-result / done / error

按需开关

aiMidway: {
    features: {
        agent: true,
        chat: true,
        agentProfile: true,
        application: true,
        mcpServer: false,
        modelConfig: false,
        settings: false,
        security: false,
        automation: false,
        connectors: false,
        a2a: false,
        channels: false,
        observability: false,
        knowledgeBase: false,
    },
}