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.