cloudbase-agent-ts（云基 Agent ts）

Cloudbase Agent (TypeScript)

TypeScript SDK for deploying AI agents as HTTP services using the AG-UI protocol.

Note: This skill is for TypeScript/JavaScript projects only.

When to use this skill

Use this skill for AI agent development when you need to:

• Deploy AI agents as HTTP services with AG-UI protocol support
• Build agent backends using LangGraph or LangChain frameworks
• Create custom agent adapters implementing the AbstractAgent interface
• Understand AG-UI protocol events and message streaming
• Build web UI clients that connect to AG-UI compatible agents
• Build WeChat Mini Program UIs for AI agent interactions

Do NOT use for:

• Simple AI model calling without agent capabilities (use ai-model-* skills)
• CloudBase cloud functions (use cloud-functions skill)
• CloudRun backend services without agent features (use cloudrun-development skill)

How to use this skill (for a coding agent)

1. Choose the right adapter

- Use LangGraph adapter for stateful, graph-based workflows - Use LangChain adapter for chain-based agent patterns - Build custom adapter for specialized agent logic

1. Deploy the agent server

- Use @cloudbase/agent-server to expose HTTP endpoints - Configure CORS, logging, and observability as needed - Deploy to CloudRun or any Node.js hosting environment

1. Build the UI client

- Use @ag-ui/client for web applications - Use @cloudbase/agent-ui-miniprogram for WeChat Mini Programs - Connect to the agent server's /send-message or /agui endpoints

1. Follow the routing table below to find detailed documentation for each task

Routing

Quick Start

import { run } from "@cloudbase/agent-server";
import { LanggraphAgent } from "@cloudbase/agent-adapter-langgraph";

run({
  createAgent: () => ({ agent: new LanggraphAgent({ workflow }) }),
  port: 9000,
});