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Guidance for calling AI models from Node.js backends using @cloudbase/node-sdk: preflight checks, model/group handling, generateText/streamText/generateImage pa
This skill documents safe, production-ready patterns for integrating AI models into Node.js backends using the @cloudbase/node-sdk. It explains the mandatory two-step preflight (Token Credits eligibility + Group readiness), the correct usage of createModel vs createImageModel, model enablement via DescribeManagedAIModelList/UpdateAIModel, streaming vs non-streaming patterns, image generation caveats, and error-handling and timeout recommendations. The SKILL.md also contains type definitions, example code snippets, and a detailed decision procedure to avoid common platform mistakes.
Use this skill when building server-side AI features that must keep secrets, run long tasks, generate images on the server, or orchestrate agents and background jobs. Do NOT use it for frontend/browser chat UIs or Mini Programs; those have dedicated skills. This is for backend developers implementing cloud functions, CloudRun services, or server-hosted APIs.
Intended for agents that can produce or review server-side code and run Node.js tooling. Best used in environments with access to MCP tools for DescribeAIModels and UpdateAIModel calls.
This skill has not been reviewed by our automated audit pipeline yet.
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