ai-model-wechat
Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, 企业微信小程序, wx.cloud apps). Features generateText and streamText with callbacks (onText, onEvent, onFinish). Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the data wrapper model field. API differs from JS/Node SDK — streamText needs data wrapper, generateText returns raw response. MUST run two-step preflight before code — see body. Keywords: Mini Program AI, wx.cloud.extend.AI, 小程序成长计划, ai_miniprogram_inspire_plan, Token Credits 资源包, generateText, streamText, createModel, hunyuan-exp, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).
适合你,如果正在开发微信小程序并需要集成AI文本生成能力
npx oh-my-skill add tencentcloudbase/awesome-cloudbase-examples/ai-model-wechatcurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- tencentcloudbase/awesome-cloudbase-examples/ai-model-wechatnpx oh-my-skill verify tencentcloudbase/awesome-cloudbase-examples/ai-model-wechat怎么用
商店整理自技能原文 · 版本 f73377e · 表述以原文为准装上后,Claude会帮助你开发微信小程序的AI功能。它能通过wx.cloud.extend.AI生成文本或流式输出,并处理回调。必须先检查计费资格和模型组就绪。
当你需要在小程序中集成文本生成(如调用DeepSeek、混元等模型),或让AI流式回复时触发。