Medu
Medu shares the minimum necessary information with third parties only when you trigger the related learning feature.Medu 只在你实际触发对应学习功能时，向第三方共享最小必要信息。
Updated: June 8, 2026更新日期：2026年6月8日
Use cases: teacher replies, study cards, cognitive maps, AI node expansion, and project evaluations.使用场景：老师回复、学习卡片、认知地图、AI 节点扩展和项目评语。
May share: submitted text, learning-project context, knowledge summaries, and required model parameters.可能共享：你提交的文本、学习项目上下文、知识点摘要和必要模型参数。
Use cases: image answer assessment, speech assessment, and pronunciation/TTS.使用场景：图片作答评估、语音口语评估、发音/TTS。
May share: uploaded images, recorded audio, spoken text, prompts, and required request parameters.可能共享：你上传的图片、录制音频、发音文本、提示词和必要请求参数。
Use cases: app distribution, possible future in-app purchase, photo picker, microphone permission, file import/export, and iCloud workspace.使用场景：应用分发、未来可能的内购、照片选择、麦克风权限、文件导入导出和 iCloud 工作区。
Apple handles related data under system permissions and platform policies.Apple 会根据系统授权和平台政策处理相关数据。
Use cases: account login, wallet, AI session tokens, service metering, charging, and troubleshooting.使用场景：账号登录、钱包、AI 会话 token、服务计量、扣费和故障排查。
Servers centralize model calls, logs, metering, and charging so third-party API keys are not stored in the client.服务器负责把模型调用、日志、计量与扣费集中处理，避免在客户端保存第三方 API Key。
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