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cloudrun-development

CloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, AI agent development, or migrating existing/GitHub apps that need VPC access to MySQL/PostgreSQL/Redis.

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The canonical home for this skill is cloudrun-development in TencentCloudBase/CloudBase-AI-Toolkit

SKILL.md
Quality
Evals
Security

Standalone Install Note

If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.

  • CloudBase main entry: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md
  • Current skill raw source: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudrun-development/SKILL.md

Keep local references/... paths for files that ship with the current skill directory. When this file points to a sibling skill such as auth-tool-cloudbase or web-development, use the standalone fallback URL shown next to that reference.

CloudBase Run Development

Activation Contract

Use this first when

  • The task is to initialize, run, deploy, inspect, or debug a CloudBase Run service.
  • The request needs a long-lived HTTP service, SSE, WebSocket, custom system dependencies, or container-style deployment.
  • The task is to create or run an Agent service on CloudBase Run.
  • The task migrates an existing / GitHub / third-party backend that uses classic DATABASE_URL / TCP database clients.

Read before writing code if

  • You still need to choose between Function mode and Container mode.
  • The prompt mentions queryCloudRun, manageCloudRun, Dockerfile, service domains, or public/private access.
  • The app depends on MySQL, PostgreSQL, Redis, or other VPC-private resources over TCP → also read references/vpc-and-database.md.

Then also read

  • Cloud functions instead of CloudRun -> ../cloud-functions/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloud-functions/SKILL.md)
  • Agent SDK and AG-UI specifics -> ../cloudbase-agent/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-agent/SKILL.md)
  • Web authentication for browser callers -> ../auth-web-cloudbase/SKILL.md (standalone fallback: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/auth-web-cloudbase/SKILL.md)
  • Existing app + TCP database networking -> references/vpc-and-database.md

Do NOT use for

  • Simple Event Function or HTTP Function workflows that fit the function model better.
  • Frontend-only projects with no backend service.
  • Database-schema design tasks.

Common mistakes / gotchas

  • Choosing CloudRun when the request only needs a normal cloud function.
  • Forgetting to listen on the platform-provided PORT.
  • Treating CloudRun as stateful app hosting and storing important state on local disk.
  • Assuming local run is available for Container mode.
  • Opening public access by default when the scenario only needs private or mini-program internal access.
  • Deploying an existing app with DATABASE_URL / MySQL / PostgreSQL / Redis but omitting serverConfig.VpcConf — deploy appears to succeed, then runtime DB connections fail.
  • Confusing OpenAccessTypes (how users reach the service) with VpcConf (how the service reaches VPC databases).

Minimal checklist

  • Choose Function mode or Container mode explicitly.
  • Confirm whether the service should be public, VPC-only, or mini-program internal (ingress).
  • If the app uses TCP databases/caches, resolve and set VpcConf (egress / private network) before deploy — see references/vpc-and-database.md.
  • Keep the service stateless and externalize durable data.
  • Use absolute paths for every local project path.

Overview

Use CloudBase Run when the task needs a deployed backend service rather than a short-lived serverless function.

When CloudRun is a better fit

  • Long connections: WebSocket, SSE, server push
  • Long-running request handling or persistent service processes
  • Custom runtime environments or system libraries
  • Arbitrary languages or frameworks
  • Stable external service endpoints with elastic scaling
  • AI Agent deployment on Function mode CloudRun
  • Migrating existing containerized or multi-language apps that need VPC access to databases

Mode selection

DimensionFunction modeContainer mode
Best forFast start, Node.js service patterns, built-in framework, Agent flowsExisting containers, arbitrary runtimes, custom system dependencies
Port modelFramework-managed local mode, deployed service still follows platform rulesApp must listen on injected PORT
DockerfileNot requiredRequired
Local run through toolsSupportedNot supported
Typical useStreaming APIs, low-latency backend, Agent serviceCustom language stack, migrated container app

How to use this skill (for a coding agent)

  1. Choose mode first

    • Function mode -> quickest path for HTTP/SSE/WebSocket or Agent scenarios
    • Container mode -> use when Docker/custom runtime is a real requirement
  2. Follow mandatory runtime rules

    • Listen on PORT
    • Keep the service stateless
    • Put durable data in DB/storage/cache
    • Keep dependencies and image size small
    • Respect resource ratio guidance: Mem = 2 × CPU
  3. Use the correct tools

    • Read operations -> queryCloudRun
    • Write operations -> manageCloudRun
    • Delete requires explicit confirmation and force: true
    • Always use absolute targetPath
  4. Follow the deployment sequence

    • Initialize or download code
    • For Container mode, verify Dockerfile
    • Scan for DB/cache dependency signals (DATABASE_URL, docker-compose DB services, ORM configs)
    • If TCP DB access is required, complete the VPC checklist in references/vpc-and-database.md before deploy
    • Local run when available
    • Configure ingress access model and egress VpcConf when needed
    • Deploy and verify detail output + DB connectivity

Tool routing

Read operations

  • queryCloudRun(action="list") -> list services
  • queryCloudRun(action="detail") -> inspect one service and its latest deploy status when available
  • queryCloudRun(action="templates") -> see available starters
  • queryCloudRun(action="getDeployLog") -> retrieve the latest deploy log or a specified buildId

Write operations

  • manageCloudRun(action="init") -> create local project
  • manageCloudRun(action="download") -> pull remote code
  • manageCloudRun(action="run") -> local run for Function mode
  • manageCloudRun(action="deploy") -> deploy local project
  • manageCloudRun(action="delete") -> delete service
  • manageCloudRun(action="createAgent") -> create Agent service

Access guidance

  • Web/public scenarios -> enable PUBLIC ingress intentionally and pair it with the right auth flow.
  • Mini Program -> prefer internal direct connection and avoid unnecessary public exposure.
  • Private ingress scenarios -> keep public access off unless the product requirement clearly needs it.
  • Database / Redis in a VPC -> this is not solved by OpenAccessTypes. You must set serverConfig.VpcConf and use the database private address. Read references/vpc-and-database.md.

Quick examples

Initialize

{ "action": "init", "serverName": "my-svc", "targetPath": "/abs/ws/my-svc" }

Local run (Function mode)

{ "action": "run", "serverName": "my-svc", "targetPath": "/abs/ws/my-svc", "runOptions": { "port": 3000 } }

Deploy (no VPC-private dependencies)

{
  "action": "deploy",
  "serverName": "my-svc",
  "targetPath": "/abs/ws/my-svc",
  "serverConfig": {
    "OpenAccessTypes": ["PUBLIC"],
    "Cpu": 0.5,
    "Mem": 1,
    "MinNum": 1,
    "MaxNum": 5
  }
}

Deploy (existing app that connects to MySQL / PostgreSQL / Redis over TCP)

{
  "action": "deploy",
  "serverName": "my-existing-app",
  "targetPath": "/abs/ws/my-existing-app",
  "serverConfig": {
    "OpenAccessTypes": ["PUBLIC"],
    "Cpu": 0.5,
    "Mem": 1,
    "MinNum": 1,
    "MaxNum": 5,
    "EnvParams": "{\"DATABASE_URL\":\"postgres://user:pass@10.x.x.x:5432/app\"}",
    "VpcConf": {
      "VpcId": "vpc-xxxxxxxx",
      "SubnetId": "subnet-xxxxxxxx"
    }
  }
}

Valid OpenAccessTypes values: OA (办公网访问), PUBLIC (公网访问), MINIAPP (小程序访问), VPC (VPC访问). Use PUBLIC for web applications that need public HTTPS access.

MinNum: 1 is the recommended default when you want to reduce cold-start latency. If the user explicitly prefers lower cost and accepts more cold starts, explain the tradeoff and let them reduce MinNum to 0.

Best practices

  1. Prefer PRIVATE/VPC or mini-program internal ingress when possible.
  2. For TCP database access, always pair private DB URLs with VpcConf in the same VPC/region as the database.
  3. Use environment variables for secrets and per-environment configuration.
  4. Verify configuration before and after deployment with queryCloudRun(action="detail").
  5. Keep startup work small to reduce cold-start impact.
  6. For Agent scenarios, use the Agent SDK skill for protocol and adapter details instead of duplicating them here.

Troubleshooting hints

  • Access failure -> check ingress access type, domain setup, and whether the instance scaled to zero.
  • Deployment failure -> inspect Dockerfile, build logs, and CPU/memory ratio.
  • Local run failure -> remember only Function mode is supported by local-run tools.
  • Performance issues -> reduce dependencies, optimize initialization, and tune minimum instances.
  • DB / Redis connection failure after a successful deploy -> almost always missing or wrong VpcConf, wrong private host, or security group. Follow references/vpc-and-database.md before rewriting application code.

Reference index

All packaged reference files (required for skill lint reachability):

  • vpc-and-database.md
Repository
TencentCloudBase/CloudBase-AI-Toolkit
Last updated
First committed

Canonical home

TencentCloudBase/CloudBase-AI-Toolkit
In sync

since Jul 28, 2026

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