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cloudrun-development

Deploy backend services on CloudBase Run in Function or Container mode.

1|Updated Apr 13, 2026
Search Tags:#deployment#serverless#backend#ai-agent#mode#cloudbase#cloudrun
One-click install
npx skills add https://github.com/AYin-Z/class_mansys --skill cloudrun-development-ayin-z
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/AYin-Z/class_mansys/tree/main/.trae/skills/cloudbase/references/cloudrun-development
Command: npx skills add https://github.com/AYin-Z/class_mansys --skill cloudrun-development-ayin-z

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CloudBase Run development provides a structured approach to deploying backend services that require long-lived connections, multi-language support, custom environments, or AI agent deployment.

Core Features & Use Cases

  • Use CloudRun in Function mode for fast HTTP/WS/SSE tasks and in Container mode for arbitrary runtimes and custom system dependencies.
  • Support various access models (WEB/public, mini-program internal, VPC/private) and ensure scalable, stable endpoints for AI agents and long-running services.
  • Follow the activation contract to initialize, deploy, and monitor CloudRun services across modes.

Quick Start

Choose Function mode or Container mode first, then follow the deployment steps to initialize and deploy a CloudRun service.

Frequently Asked Questions about cloudrun-development

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

FAQPage Schema
How do I deploy backend services on CloudBase Run that require long-lived connections?▼

To deploy backend services on CloudBase Run with long-lived connections, apply CloudRun in Container mode or Function mode, explicitly select your mode, listen on the PORT environment variable, and maintain statelessness.

What is the difference between Function mode and Container mode for CloudRun deployment?▼

Function mode handles fast HTTP/WS/SSE tasks, whereas Container mode supports arbitrary runtimes, custom system dependencies, and persistent backends for AI agent deployment.

Can I use CloudRun to deploy an AI agent with custom environment dependencies?▼

Yes, you can deploy an AI agent using CloudRun in Container mode to leverage arbitrary runtimes and custom system dependencies, ensuring you configure the appropriate access models like VPC or public.

What access models are supported when deploying a CloudRun backend service?▼

CloudRun backend service deployment supports WEB or public access, mini-program internal access, and VPC or private access models to ensure scalable and stable endpoints for AI agents.

Why does my CloudRun service fail to activate when deploying a persistent backend?▼

Your CloudRun service may fail if you do not maintain statelessness, neglect to listen on the specified PORT, or miss explicit mode selection during the activation contract initialization and deployment steps.

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