cloudbase-agent

Develops and deploys AI agents using CloudBase Agent SDK for TypeScript and Python with AG-UI protocol support.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cloudbase-agent-server, cloudbase-agent-langgraph, cloudbase-agent-coze, langgraph, langchain, fastapi, jwt, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the complex process of building, testing, and deploying AI agents by providing a unified SDK and protocol for streaming agent-UI communication.

Core Features & Use Cases

  • AG-UI Protocol Support: Implements a standardized event-based protocol for real-time agent-UI interaction.
  • Multi-Framework Support: Provides adapters for LangGraph, LangChain, and Coze, allowing you to use your preferred agent framework.
  • Production-Ready Deployment: Includes specialized tools for deploying agent servers to CloudBase with session persistence and authentication.

Quick Start

Use the cloudbase-agent skill to initialize a new TypeScript agent project and deploy it to your CloudBase environment.

Frequently Asked Questions about cloudbase-agent

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

FAQPage Schema
How do I deploy a LangGraph AI agent to a production environment with authentication?▼

You can deploy a LangGraph AI agent with authentication using the cloudbase-agent SDK, which provides specialized deployment tools for Tencent CloudBase infrastructure with built-in JWT session persistence and secure access control.

Can I use FastAPI with LangChain to build and stream AI agent responses to a UI?▼

Yes, FastAPI works with LangChain to stream AI agent responses to a UI via the AG-UI protocol, which standardizes event-based real-time communication between the agent server and the frontend interface.

What is the AG-UI protocol for streaming agent-UI communication?▼

The AG-UI protocol is a standardized, event-based communication method that enables real-time streaming interaction between AI agents and user interfaces, simplifying complex real-time agent-UI data exchange.

Does CloudBase support deploying AI agents built with the Coze framework?▼

Yes, CloudBase supports deploying AI agents built with Coze through dedicated adapters, allowing you to integrate Coze alongside LangGraph and LangChain frameworks under the AG-UI protocol.

How do I initialize a new TypeScript AI agent project for CloudBase deployment?▼

You initialize a new TypeScript AI agent project for CloudBase deployment using the cloudbase-agent skill, which sets up the required SDK environment for building and deploying authenticated agent servers.

What are the limitations of using CloudBase for AI agent deployment?▼

CloudBase AI agent deployment requires using specific supported frameworks like LangGraph, LangChain, or Coze, and depends on Tencent CloudBase infrastructure for session persistence and server hosting.