Google向第三方 AI agents 和发布打开 Android 开发新 Gemini API

Google向第三方 AI agents 和发布打开 Android 开发新 Gemini API

关键点

- Google正通过"Bring Your Own Agent"功能，将它的Android Studio开发环境向Claude和Codex等40多家外部编码agents开放，同时扩展终端工具来缩短开发时间和象征性使用。

- 使用Gemini Nano 4动力Agentic API和模型上下文协议等接口，开发人员可以在移动设备上局部运行agent功能，并直接将应用服务插入到Google搜索和Gemini应用中。

- Google和硬件制造器XREAL也叫"X发布""XREAL AURA"，是一对运行于Android XR的智能眼镜，显示虚拟工作空间，并使用Gemini分析现实世界环境。

Google正围绕AI agents在Android Dev峰会上以开发环境为中心。 更新内容包括Anthropic和OpenAI型号的集成，本地智能手机agents的新API，一对智能眼镜。

在今年的Android Dev峰会上，Google 推出为其开发工具和系统API更新。 开放Android Studio开发环境是主要焦点。

与Android Studio Rabbit 2,Google为发布，是"Bring your Own Agent"(BYOA)的功能。 开发者不再局限于Google自己的AI工具。 相反，他们可以使用开放的Agent客户协议(ACP)在IDE直接运行超过40个不同的编码agents.

开发者可以通过内置市场安装并同时运行Anthropic的"克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克克". 这些agents可以直接访问项目结构，符号分辨率，模拟器，和Logcat系统等IDE工具。

Google还用Android座椅领导板的发布版本2.0来测量复杂任务的AI模型性能。 它根据功能、时间和成本评价多日发展项目的语言模式。

AI生成的代码更改经常会变得混乱，因此Google正在增加一个名为"更改评论"的代码验证工具。 它分析待修改，生成错误报告，并分步骤解释修改。 Android Studio Canary还预览了新增一个自动将更古老的XML布局翻译为Jetpack Confose的迁移助手。 同时，Google正在测试Lightbuilt，一个基于YAML schema的宣告性构建系统，人类和AI agents都可以读取并编辑。

新的终端工具和专门技能切割了编码agents的象征性用途

Google扩展了Android CLI命令行工具，用于在终端或CI管道中运行其agents的开发者。 现可用作Claude Code,OpenAI的Codex和Google抗重力的官方agent插件。

新命令让 AI agents 在终端中渲染 Confose 预览，在不启动模拟器的情况下直观检查 UI 更改。 内部的Google测试显示，agents完成UI任务的速度快了77%，并且用到这个特性的代号的三倍多。 CLI还支持从Google实验室流出物理测试设备，使agents能够调查设备所特有的bug.

调试和性能分析也有了新的功能。 Google将开源漏出内存的漏出检测库都建入了CLI和Android Studio配置器。 系统评价电脑上堆积而不用移动设备，这可以防止应用程序在测试时减速。 在使用Anthropic's Claude Opus 5.5模型的Google A/B测试中，CLI工具帮助查找并修复了内存泄漏近两倍快，同时将象征性使用量削减了约25%.

其他命令行工具让agents捕捉系统通过Android性能分析器追踪，从Firebase崩溃分析器中提取崩溃报告，或通过R8编译器检查代码优化。 语言模型往往缺乏最新API的培训，因此Google现在提供超过30个Android技能。 这些向agents提供文档，用于在应用程序提交前检查Google Play政策，处理许可安全问题，或者为被标为"Google Book"的可折叠和笔记本电脑调整布局等任务。

Gemini Nano 4和MCP将Android应用转换为交互式的agent工具。

除了开发者工具之外，Google正在将新的API运入将agent的特性构建为app或连接到系统agents的app. 对于本地端侧处理，Google正在将由Gemini Nano 4提供动力的α Agentic API添加到其ML Kit上。 此接口会自动执行函数，保存聊天历史，管理管弦循环，并提供安全过滤。

Google正在使用"模型上下文协议"(MCP)和"发布"，在β中的AppFunctions API作为统一的工具调用层，因此应用可以与本地或全系统的agents共享功能。 Jetpack Confose的新α Agent-to-UI(A2UI)接口以此为基础。 agents不使用纯文本块进行回覆，而是可以显示由特定app组件所构建的交互式用户界面。

为了将这些应用服务带入Google搜索和Gemini应用中，公司是发布，是连接Apps平台的预览。 开发者可以通过Android MCP或云托管的MCP服务器链接自己的应用，并通过一个单一控制台管理。 Google 称来自Adobe，佩洛通，Experian等公司的超过50个合作伙伴集成已经活在了Gemini应用中，在未来几周内它们会推出到网络搜索。

XREAL AURA智能眼镜将Android XR和Gemini带入现实世界

Google还针对几个硬件形式因素更新了宣布。 更新到Jetpack Compose 1.13和App State模型使得应用更方便于大屏幕的应用，扩展现实(XR)开发环境正在离开测试阶段。 Jetpack XR SDK,Android Studio中的XR模拟器，以及团结，哥多特和Unreal的引擎枢纽现在作为稳定的发布提供。

在软件更新的同时，Google与硬件制造器XREAL合作为XREAL AURA揭幕。 XR首席Shahram Izadi 称他们是第一个运行于Android XR的wired智能眼镜。 眼镜重于95克以下并具有透明，可淡化的镜头，有70度的视野。 计算单元和电池坐落于翻倍作为轨迹板的外接板上，并运行在Qualcomm新的Snapdragon Reality Elite芯片上。

用户可以将最多5个Android的应用程序一并放入他们的视野领域，或者插入USB-C电缆来反射他们的笔记本电脑屏幕。 Gemini也建在这里。 AI可以通过眼镜和虚拟屏幕看到现实世界的环境，使其可以组织windows，提供电子游戏提示，或者在房间里视觉地突出物理物体。 XREAL AURA现在可以在美国、加拿大和韩国订购1 099美元，11月中旬开始航运。

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Google opens Android development to third-party AI agents and unveils new Gemini APIs

Key Points

- Google is opening its Android Studio development environment to more than 40 external coding agents like Claude and Codex via the "Bring Your Own Agent" feature, while expanding terminal tools to cut down on development time and token usage.

- Using interfaces like the Gemini Nano 4-powered Agentic API and the Model Context Protocol, developers can run agent functions locally on mobile devices and plug app services directly into Google Search and the Gemini app.

- Google and hardware maker XREAL also unveiled the XREAL AURA, a $1,099 pair of smart glasses running Android XR that displays virtual workspaces and uses Gemini to analyze the real-world environment.

Google is centering its development environment around AI agents at the Android Dev Summit. The updates include integrations for Anthropic and OpenAI models, new APIs for local smartphone agents, and a pair of smart glasses.

Google introduced updates for its developer tools and system APIs at this year's Android Dev Summit. Opening up the Android Studio development environment was the main focus.

With Android Studio Rabbit 2, Google is launching a "Bring Your Own Agent" (BYOA) feature. Developers are no longer limited to Google's own AI tools. Instead, they can use the open Agent Client Protocol (ACP) to run more than 40 different coding agents directly in the IDE.

Developers can install and simultaneously run Anthropic's Claude Agent, OpenAI's Codex, and Google Antigravity through the built-in marketplace. These agents get direct access to IDE tools like project structure, symbol resolution, the emulator, and the Logcat system.

Google also released version 2.0 of the Android Bench leaderboard to measure AI model performance on complex tasks. It evaluates language models on multi-day development projects based on functionality, time spent, and cost.

AI-generated code changes often get messy, so Google is adding a code verification tool called Change Review. It analyzes pending changes, generates bug reports, and explains modifications step by step. The Android Studio Canary preview also adds a migration assistant that automatically translates older XML layouts into Jetpack Compose. Meanwhile, Google is testing Lightbuild, a declarative build system based on a YAML schema that both humans and AI agents can read and edit.

New terminal tools and specialized skills cut token usage for coding agents

Google expanded the Android CLI command-line tool for developers who run their agents in the terminal or in CI pipelines. It is now available as an official agent plugin for Claude Code, OpenAI's Codex, and Google Antigravity.

New commands let AI agents render Compose previews in the terminal to visually check UI changes without booting up an emulator. Internal Google tests show agents finished UI tasks 77 percent faster and used up to three times fewer tokens with this feature. The CLI also supports streaming physical test devices from Google labs so agents can investigate device-specific bugs.

Debugging and performance analysis got new features too. Google built the open-source LeakCanary memory leak detection library into both the CLI and the Android Studio Profiler. The system evaluates heap dumps on the computer instead of the mobile device, which keeps the app from slowing down during testing. In a Google A/B test using Anthropic's Claude Opus 5.5 model, the CLI tool helped find and fix memory leaks nearly twice as fast while cutting token usage by about 25 percent.

Other command-line tools let agents capture system traces via the Android Performance Analyzer, pull crash reports from Firebase Crashlytics, or check code optimization through the R8 compiler. Language models often lack training on the newest APIs, so Google now provides over 30 Android Skills. These feed documentation to agents for tasks like checking Google Play policies before app submission, handling permission security issues, or adapting layouts for foldables and laptops branded as Googlebooks.

Gemini Nano 4 and MCP turn Android apps into interactive agent tools

Beyond developer tools, Google is shipping new APIs to build agent features into apps or connect apps to system agents. For local on-device processing, Google is adding an alpha Agentic API powered by Gemini Nano 4 to its ML Kit. This interface automatically executes functions, saves chat history, manages the orchestration loop, and provides safety filters.

Google is using the Model Context Protocol (MCP) and launching the AppFunctions API in beta as a unified tool-calling layer so apps can share functions with local or system-wide agents. The new alpha Agent-to-UI (A2UI) interface for Jetpack Compose builds on this. Instead of replying with plain text blocks, agents can display interactive user interfaces built from the specific app's components.

To bring these app services into Google Search and the Gemini app, the company is launching a preview of the Connected Apps Platform. Developers can link their apps via Android MCP or cloud-hosted MCP servers and manage them through a single console. Google says over 50 partner integrations from companies like Adobe, Peloton, and Experian are already live in the Gemini app, and they will roll out to web search in the coming weeks.

XREAL AURA smart glasses bring Android XR and Gemini into the real world

Google also announced updates for several hardware form factors. Updates to Jetpack Compose 1.13 and the AppState model make it easier to adapt apps for large screens, and the Extended Reality (XR) development environment is leaving the testing phase. The Jetpack XR SDK, the XR emulators in Android Studio, and the Engine Hub for Unity, Godot, and Unreal are now available as stable releases.

Alongside the software updates, Google partnered with hardware maker XREAL to unveil the XREAL AURA. XR chief Shahram Izadi says they are the first wired smart glasses running Android XR. The glasses weigh under 95 grams and feature transparent, dimmable lenses with a 70-degree field of view. The computing unit and battery sit in an external puck that doubles as a trackpad and runs on Qualcomm's new Snapdragon Reality Elite chip.

Users can place up to five Android apps in their field of view at once or plug in a USB-C cable to mirror their laptop screen. Gemini is built in here too. The AI can see both the real-world environment through the glasses and the virtual screens, allowing it to organize windows, offer video game tips, or visually highlight physical objects in the room. The XREAL AURA is available to order now in the US, Canada, and South Korea for $1,099, with shipping set to begin in mid-November.

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