cloudbase-agent-ts

Build and deploy AG-UI compatible AI agents as HTTP services with CloudBase.

1.1k|133|Updated May 23, 2025
One-click install
npx skills add https://github.com/TencentCloudBase/CloudBase-MCP --skill cloudbase-agent-ts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cloudbase-agent-ts
Source: https://github.com/TencentCloudBase/CloudBase-MCP/tree/main/config/.claude/skills/cloudbase-agent-ts
Command: npx skills add https://github.com/TencentCloudBase/CloudBase-MCP --skill cloudbase-agent-ts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This integration enables developers to build, deploy, and integrate AG-UI compatible AI agents as HTTP services using the CloudBase tooling stack.

Core Features & Use Cases

  • AG-UI compliant server adapters: Wraps LangGraph and LangChain workflows as HTTP endpoints for streaming conversations.
  • TypeScript SDKs and adapters: Ready-to-use libraries to connect agent backends with client UIs and tooling.
  • Use Case: Build an AI agent service that handles chat, tools, and state across CloudBase functions.

Quick Start

Install and run a CloudBase agent server by wiring a compiled workflow to the agent-server and launching on Node.js.

Frequently Asked Questions about cloudbase-agent-ts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a LangGraph agent as an HTTP service?

To deploy a LangGraph agent as an HTTP service, you can wrap the compiled workflow using AG-UI compliant server adapters and launch it on Node.js via the CloudBase agent-server for streaming conversations.

What is the best way to integrate an AI agent backend with a client UI using TypeScript?

The best way to integrate an AI agent backend with a client UI is by using the TypeScript SDKs and adapters to connect the agent service endpoints directly with frontend tooling.

Can I use CloudBase to scale LangChain workflows for chat applications?

Yes, you can use CloudBase to scale LangChain workflows by wrapping them as HTTP endpoints, allowing your AI agent service to handle chat, tools, and state across CloudBase functions.

How does AG-UI handle streaming conversations for AI agents?

AG-UI handles streaming conversations by providing compliant server adapters that wrap LangGraph and LangChain workflows, exposing them as HTTP endpoints for real-time data streaming.

Do I need a specific SDK to build agent servers in CloudBase environments?

Yes, you need the TypeScript SDK and server adapters provided to wire compiled workflows to the agent-server, enabling you to build and launch AI agents within CloudBase environments.