机器学习套件的生成式 AI API 可利用 Gemini Nano 的强大功能来帮助您的应用执行任务。这些 API 通过高级接口为热门使用场景提供开箱即用的优质体验。ML Kit 生成式 AI API 基于 AICore 构建，后者是一项 Android 系统服务，可实现设备端执行生成式 AI 基础模型，从而通过在本地处理数据来增强应用功能并提升用户隐私保护。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-20。"],[],[],null,["| This API is offered in beta, and is not subject to any SLA or deprecation policy. Changes may be made to this API that break backward compatibility.\n\nML Kit's GenAI APIs harness the power of [Gemini Nano](https://developer.android.com/ai/gemini-nano/) to help your apps\nperform tasks. These APIs provide out-of-the-box quality for popular use cases\nthrough a high-level interface. The ML Kit GenAI APIs are built on top of\n[AICore](https://android-developers.googleblog.com/2023/12/a-new-foundation-for-ai-on-android.html), an Android system service that enables on-device execution of GenAI\nfoundation models to facilitate features such as enhanced app functionality and\nimproved user privacy by processing data locally.\n\nThe ML Kit GenAI APIs support the following features:\n\n- [**Summarization**](/ml-kit/genai/summarization/android): Summarize articles or chat conversations as a bulleted list.\n- [**Proofreading**](/ml-kit/genai/proofreading/android): Polish short content by refining grammar and fixing spelling errors.\n- [**Rewriting**](/ml-kit/genai/rewriting/android): Rewrite short messages in different tones or styles.\n- [**Image description**](/ml-kit/genai/image-description/android): Generate a short description of a given image.\n\nBenefits of GenAI APIs\n\nSimilar to other existing ML Kit features, GenAI APIs run entirely on-device and\nthus provide the following benefits:\n\n- Input, inference, and output data is processed locally\n- Functionality remains the same without reliable internet connection\n- No additional server cost incurred for each API call\n\nIn addition, since GenAI APIs are built on top of AICore and powered by Gemini\nNano, every app is able to use the shared Gemini Nano model that is on the\ndevice. This avoids the need to have to wait for a model to be downloaded if it\nalready exists on a device, and in turn conserves storage space. Learn [more\nabout how AICore isolates requests to protect privacy](https://android-developers.googleblog.com/2024/10/introduction-to-privacy-and-safety-gemini-nano.html).\n\nStreaming versus non-streaming\n\nML Kit GenAI APIs offer both streaming and non-streaming options for receiving\nresults. The streaming API delivers responses incrementally as they are\ngenerated, providing a continuous flow of data. In contrast, the non-streaming\nAPI waits until the entire response is complete before returning it as a single\nblock.\n\nChoose the streaming API for lengthy responses, as it allows for quicker initial\nfeedback. The non-streaming API is more suitable for short responses or when\nprocessing results in batches.\n\nDevice support\n\nThe ML Kit GenAI APIs are available on the following devices, with\nplans to expand support to additional devices:\n\n- Google: Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, Pixel 9 Pro Fold\n- Honor: Magic 7 Pro, Magic 7\n- iQOO: iQOO 13\n- Motorola: Razr 60 Ultra\n- OnePlus: OnePlus 13, OnePlus 13s\n- OPPO: Find N5, Find X8, Find X8 Pro\n- POCO: POCO F7 Ultra\n- realme: realme GT 7 Pro\n- Samsung: Galaxy S25, Galaxy S25+, Galaxy S25 Ultra\n- vivo: vivo X200, vivo X200 Pro\n- Xiaomi: Xiaomi 15 Ultra, Xiaomi 15\n\nAvailability of specific language support may vary depending on the particular\ndevice's configuration and the models that have been downloaded to the device.\n\nQuota per application\n\nAICore enforces an inference quota per app. This means that making too many\nGenAI API requests in a short period will result in an `ErrorCode.BUSY`\nresponse. When receiving such an error, consider using exponential backoff to\nretry the request.\n\nBackground usage\n\nGenAI API inference is permitted only when the app is the top foreground\napplication. Using the API when the app is not in the foreground, including\nusing a foreground service, will result in an `ErrorCode.BUSY` response due to\nthe current lack of background usage quota.\n\nSample code\n\nTo get this code, check out the following samples:\n\n- [ML Kit GenAI Samples](https://github.com/googlesamples/mlkit/tree/master/android/genai)\n- [Android AI Catalog Sample](https://github.com/android/ai-samples/tree/main/ai-catalog)"]]
