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.