Cloudbase Agent (TypeScript)

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

When to use this skill

• 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

• 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
2. 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
3. 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
4. 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,
});