cloudbase-agent-python

Build Python AI agent backends with CloudBase Agent SDK.

8|1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/Tugoukezhang/workbuddy-skills --skill cloudbase-agent-python-tugoukezhang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudbase-agent-python
Source: https://github.com/Tugoukezhang/workbuddy-skills/tree/main/skills/cloudbase/references/cloudbase-agent
Command: npx skills add https://github.com/Tugoukezhang/workbuddy-skills --skill cloudbase-agent-python-tugoukezhang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build production-ready AI agent backends in Python that stream AG-UI protocol events and expose OpenAI-compatible endpoints for robust server-side AI workflows.

Core Features & Use Cases

  • Production-grade Python agents: Build servers using LangGraph/CrewAI/LlamaIndex with FastAPI and AG-UI streaming.
  • OpenAI-compatible endpoints: Provide /chat/completions alongside native AG-UI streams.
  • Observability & Middleware: Add authentication, logging, memory backends, and observability hooks for production deployments.

Quick Start

Define your agent with a factory and start the FastAPI server using the CloudBase Agent entry point.

Frequently Asked Questions about cloudbase-agent-python

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

FAQPage Schema
How do I deploy a production-grade Python AI agent using FastAPI?▼

To deploy a production-grade Python AI agent, use the CloudBase Agent SDK to build FastAPI servers with LangGraph or CrewAI, exposing AG-UI streaming and OpenAI-compatible endpoints through a 4-step deployment pipeline.

Can I expose OpenAI-compatible endpoints alongside AG-UI streams for my agent server?▼

Yes, you can expose OpenAI-compatible /chat/completions endpoints alongside native AG-UI protocol event streams. This allows robust server-side AI workflows to integrate with both AG-UI clients and standard OpenAI API consumers simultaneously.

Does CloudBase Agent SDK support LangGraph, CrewAI, and LlamaIndex for building agents?▼

Yes, the CloudBase Agent SDK supports building production servers with LangGraph, CrewAI, and LlamaIndex. It integrates these frameworks with FastAPI to provide AG-UI streaming and OpenAI-compatible endpoints for your agents.

What Python version is required for deploying AI agents with AG-UI streaming?▼

Deploying AI agents with AG-UI streaming requires Python 3.10 runtime. The production deployment also mandates atomic environment construction with one-shot pip installs to ensure reliable server-side AI workflow execution.

How do I add authentication, memory, and observability middleware to a Python AI agent?▼

Add authentication, logging, memory backends, and observability hooks to your Python AI agent using the CloudBase Agent SDK. It provides built-in middleware support to meet production deployment requirements for FastAPI-based agent servers.

What's the best way to stream AG-UI protocol events from a Python backend?▼

The best way to stream AG-UI protocol events is using the CloudBase Agent SDK with FastAPI. It natively supports AG-UI streaming alongside OpenAI-compatible endpoints, enabling robust server-side AI workflows for production deployments.