cloudbase-agent-python

Build AI agent backends with the CloudBase Agent Python SDK.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cloudbase-agent-server, cloudbase-agent-langgraph, cloudbase-agent-crewai, cloudbase-agent-coze, langchain-openai, python-dotenv, and includes references (resource) components.

What problem does it solve?

This Skill solves the complexity of building, testing, and deploying production-grade AI agent backends by providing a standardized, framework-agnostic SDK that handles streaming, memory, and observability.

Core Features & Use Cases

  • Multi-Framework Support: Seamlessly integrate with LangGraph, CrewAI, or LlamaIndex workflows.
  • Production-Ready Infrastructure: Includes built-in support for AG-UI streaming, OpenAI-compatible endpoints, and robust middleware for authentication and logging.
  • Use Case: Build a complex, stateful customer support agent using LangGraph that requires human-in-the-loop approval, persistent memory, and real-time streaming to a frontend.

Quick Start

Use the cloudbase-agent-python skill to initialize a new agent project with the LangGraph adapter and deploy it to your CloudBase environment.

Frequently Asked Questions about cloudbase-agent-python

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

FAQPage Schema
How do I build a production-ready AI agent backend with LangGraph?

Build a production-ready AI agent backend using the CloudBase Agent Python SDK with LangGraph or CrewAI. It provides AG-UI protocol streaming, OpenAI-compatible endpoints, and persistent memory storage for complex agent workflows.

What's the best way to add streaming responses to my FastAPI AI agent?

Add streaming to your FastAPI AI agent using the CloudBase Agent Python SDK's built-in AG-UI protocol streaming. This enables real-time frontend updates for stateful agent workflows.

Can I use CrewAI with CloudBase for agent deployment?

Yes, you can use CrewAI with CloudBase for agent deployment. The CloudBase Agent Python SDK supports multi-framework integration including CrewAI and LangGraph for creating secure, observable agent servers.

Does CloudBase Agent Python support human-in-the-loop approval workflows?

Yes, CloudBase Agent Python supports human-in-the-loop approval workflows by combining LangGraph state management with persistent memory storage. This allows complex agents to pause and await user approval during execution.

How do I secure AI agent endpoints with authentication middleware?

Secure AI agent endpoints using the built-in middleware provided by the CloudBase Agent Python SDK. It supplies robust middleware for authentication and logging to ensure secure deployment in cloud-native environments.