Individual skill
firebase-ai-logic-basics
Integrates Firebase AI Logic (formerly Vertex AI for Firebase) into mobile and web apps (Android, iOS, Web, and Flutter) to call Gemini models from client code. Use when provisioning or initializing Firebase AI Logic, or adding Gemini features to an app: text generation, multimodal input, chat, streaming, structured output, hybrid on-device inference, App Check protection, or switching models with Remote Config.
skills/firebase-ai-logic-basics/SKILL.md
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- Nov 7, 2026
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- Apache-2.0
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SKILL.mdcore · 12,575 bytesSKILL.mdcore · 12,575 bytesSKILL.mdcore · 12,575 bytesSKILL.mdcore · 12,575 bytesSKILL.mdcore · 12,575 bytesreferences/flutter_setup.mddoc · 5,169 bytesreferences/ios_setup.mddoc · 8,275 bytesreferences/tts_generation.mddoc · 22,260 bytesreferences/usage_patterns_android.mddoc · 7,359 bytesreferences/usage_patterns_web.mddoc · 8,804 bytes
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# 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. The app can directly call
Gemini models via Firebase AI Logic without the developer needing to manage a
dedicated backend. Firebase AI Logic was previously known as "Vertex AI for
Firebase".
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