--- id: gh-firebase-ai-logic-basics name: "firebase-ai-logic-basics" url: https://skills.yangsir.net/skill/gh-firebase-ai-logic-basics author: firebase domain: ai-app-building-integration tags: ["firebase", "gemini", "ai", "sdk", "backendless"] install_count: 24900 rating: 4.60 (120 reviews) github: https://github.com/firebase/agent-skills/tree/main/skills/firebase-ai-logic-basics --- # firebase-ai-logic-basics > Firebase AI Logic 是一款 Firebase 产品，让开发者能通过客户端 SDK 将 Gemini API 集成到移动和 Web 应用中。它支持多模态推理、结构化输出和流式响应，无需管理后端即可直接调用 Gemini 模型，并强调了 App Check 的安全性。 **Stats**: 24,900 installs · 4.6/5 (120 reviews) ## Before / After 对比 ### 简化 AI 后端集成 **Before**: 传统上，将 AI 模型集成到应用中需要开发者投入大量时间设置和维护复杂的后端基础设施，包括 API 管理、安全配置和扩展性考量，这增加了开发周期和运营成本。 **After**: 借助 Firebase AI Logic，开发者可以直接通过客户端 SDK 调用 Gemini 模型，无需管理专用后端。这极大地简化了集成过程，缩短了开发时间，并降低了运营复杂性。 | Metric | Before | After | Change | |---|---|---|---| | 后端集成时间 | 30小时 | 1小时 | -97% | ## Readme # Firebase AI Logic Basics ## Overview Firebase AI Logic is a product of Firebase that allows developers to add gen AI to their mobile and web apps using client-side SDKs. You can call Gemini models directly from your app without managing a dedicated backend. Firebase AI Logic, which was previously known as "Vertex AI for Firebase", represents the evolution of Google's AI integration platform for mobile and web developers. It supports the two Gemini API providers: - **Gemini Developer API**: It has a free tier ideal for prototyping, and pay-as-you-go for production - **Vertex AI Gemini API**: Ideal for scale with enterprise-grade production readiness, requires Blaze plan Use the Gemini Developer API as a default, and only Vertex AI Gemini API if the application requires it. ## Setup & Initialization ### Prerequisites - Before starting, ensure you have **Node.js 16+** and npm installed. Install them if they aren’t already available. - Identify the platform the user is interested in building on prior to starting: Android, iOS, Flutter or Web. - If their platform is unsupported, Direct the user to Firebase Docs to learn how to set up AI Logic for their application (share this link with the user https://firebase.google.com/docs/ai-logic/get-started) ### Installation The library is part of the standard Firebase Web SDK. `npm install -g firebase@latest` If you're in a firebase directory (with a firebase.json) the currently selected project will be marked with "current" using this command: `npx -y firebase-tools@latest projects:list` Ensure there's at least one app associated with the current project `npx -y firebase-tools@latest apps:list` Initialize AI logic SDK with the init command `npx -y firebase-tools@latest init ailogic` This will automatically enable the Gemini Developer API in the Firebase console. More info in [Firebase AI Logic Getting Started](https://firebase.google.com/docs/ai-logic/get-started.md.txt) ## Core Capabilities ### Text-Only Generation ### Multimodal (Text + Images/Audio/Video/PDF input) Firebase AI Logic allows Gemini models to analyze image files directly from your app. This enables features like creating captions, answering questions about images, detecting objects, and categorizing images. Beyond images, Gemini can analyze other media types like audio, video, and PDFs by passing them as inline data with their MIME type. For files larger than 20 megabytes (which can cause HTTP 413 errors as inline data), store them in Cloud Storage for Firebase and pass their URLs to the Gemini Developer API. ### Chat Session (Multi-turn) Maintain history automatically using `startChat`. ### Streaming Responses To improve the user experience by showing partial results as they arrive (like a typing effect), use `generateContentStream` instead of `generateContent` for faster display of results. ### Generate Images with Nano Banana - Start with Gemini for most use cases, and choose Imagen for specialized tasks where image quality and specific styles are critical. (Example: gemini-2.5-flash-image) - Requires an upgraded Blaze pay-as-you-go billing plan. ### Search Grounding with the built in googleSearch tool ## Supported Platforms and Frameworks Supported Platforms and Frameworks include Kotlin and Java for Android, Swift for iOS, JavaScript for web apps, Dart for Flutter, and C Sharp for Unity. ## Advanced Features ### Structured Output (JSON) Enforce a specific JSON schema for the response. ### On-Device AI (Hybrid) Hybrid on-device inference for web apps, where the Firebase Javascript SDK automatically checks for Gemini Nano's availability (after installation) and switches between on-device or cloud-hosted prompt execution. This requires specific steps to enable model usage in the Chrome browser, more info in the [hybrid-on-device-inference documentation](https://firebase.google.com/docs/ai-logic/hybrid-on-device-inference.md.txt). ## Security & Production ### App Check > [!WARNING] > **Critical Safety Requirement:** In order to use AI Logic safely, you MUST set up App Check on your app. This prevents unauthorized clients from using your API quota and accessing your backend resources. See [App Check with reCAPTCHA Enterprise](https://firebase.google.com/docs/app-check/web/recaptcha-enterprise-provider.md.txt) for setup instructions. ### Remote Config Consider that you do not need to hardcode model names (e.g., `gemini-flash-lite-latest`). Use Firebase Remote Config to update model versions dynamically without deploying new client code. See [Changing model names remotely](https://firebase.google.com/docs/ai-logic/change-model-name-remotely.md.txt) > [!WARNING] > **CRITICAL: Backend Provisioning Required** > For all platforms (Flutter, Android, iOS, Web), you MUST run `npx firebase-tools init ailogic` to provision the service. `flutterfire configure` ONLY handles client configuration and does NOT enable the AI service, leading to `PERMISSION_DENIED` errors. ## Initialization Code References | Language, Framework, Platform | Gemini API provider | Context URL | | :---- | :---- | :---- | | Web Modular API | Gemini Developer API (Developer API) | firebase://docs/ai-logic/get-started | | iOS (Swift) | Gemini Developer API | [ios_setup.md](references/ios_setup.md) | | Flutter (Dart) | Gemini Developer API | [flutter_setup.md](references/flutter_setup.md) | **Always use the most recent version of Gemini (gemini-flash-latest) unless another model is requested by the docs or the user. DO NOT USE gemini-1.5-flash. ** ## References [Web SDK code examples and usage patterns](references/usage_patterns_web.md) [iOS SDK code examples and usage patterns](references/ios_setup.md) [Flutter SDK code examples and usage patterns](references/flutter_setup.md) [Android (Kotlin) SDK usage patterns](references/usage_patterns_android.md) --- *Source: https://skills.yangsir.net/skill/gh-firebase-ai-logic-basics* *Markdown mirror: https://skills.yangsir.net/api/skill/gh-firebase-ai-logic-basics/markdown*