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cloudbase-agent

Deploy AI agent backends as HTTP services with AG-UI protocol support.

Updated Mar 27, 2026
Search Tags:#typescript#development#python#ai#sdk#agents#ag-ui
One-click install
npx skills add https://github.com/l395624064/plantCard_Demo01 --skill cloudbase-agent-l395624064
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudbase-agent
Source: https://github.com/l395624064/plantCard_Demo01/tree/main/.trae/skills/cloudbase/references/cloudbase-agent
Command: npx skills add https://github.com/l395624064/plantCard_Demo01 --skill cloudbase-agent-l395624064

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The CloudBase Agent SDK language router unifies TypeScript and Python skill definitions to streamline building, deploying, and fronting AI agents with the AG-UI protocol. It enables dual-language adapters, OpenAI-compatible endpoints, and client UI support, plus robust production readiness features.

Core Features & Use Cases

  • Language-detection router: automatically selects and loads the TypeScript skill or Python skill based on user input.
  • Dual-endpoint server support: exposes both AG-UI streaming and OpenAI-compatible routes.
  • Adapter-first deployment: supports LangGraph/LangChain/CrewAI adapters and custom adapters for production backends.
  • Observability and tooling: integrates with the CloudBase Agent ecosystem for logging, metrics, and tracing.
  • Use cases include building chatbots, enterprise assistants, and developer tooling with multi-language support.

Quick Start

Load the language-specific skill file (TypeScript or Python) and start using the CloudBase Agent SDK to deploy an agent server.

Frequently Asked Questions about cloudbase-agent

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

FAQPage Schema
How do I deploy an AI agent backend as an HTTP service with AG-UI protocol support?▼

Use the CloudBase Agent SDK to deploy AI agent backends as HTTP services with AG-UI protocol support. It enforces a blocking 4-step deployment pattern, frontmatter metadata, and dual-language skill files for production-ready tooling.

Can I build AG-UI agent servers using both TypeScript and Python?▼

Yes, you can build AG-UI agent servers using TypeScript and Python. The SDK provides a language-detection router that automatically selects and loads the correct dual-language skill file based on input.

Does the CloudBase Agent SDK support LangGraph and LangChain adapters?▼

Yes, the CloudBase Agent SDK supports LangGraph and LangChain adapters. It uses an adapter-first deployment approach, allowing LangGraph, LangChain, CrewAI, and custom adapters for production backends.

What is the required deployment pattern for AG-UI streaming endpoints?▼

The required deployment pattern for AG-UI streaming endpoints is a BLOCKING 4-step sequence. It enforces frontmatter metadata and dual-language skill files to ensure production-ready tooling and observability.

Are OpenAI-compatible API routes included in agent server deployments?▼

Yes, OpenAI-compatible API routes are included in agent server deployments. The SDK provides dual-endpoint server support, exposing both AG-UI streaming routes and OpenAI-compatible endpoints for client UI integration.

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