Android Gemini Nano

Android Gemini Nano On-Device Integration 🧠

Gemini Nano allows for powerful, completely on-device AI generation. Because it runs locally via the AICore Android system service, careful life-cycle and asynchronous resource management is required.

⚡ When to Use

• When building chat interfaces, generating summaries, or drafting text without cloud latency.
• When the user asks to integrate "Gemini Nano" or "AICore".

🏗️ Core Rules / Pillars

1. AICore Dependency and Availability Check

• Pattern: AICore might not be downloaded or fully initialized. Always check availability before starting a session.
• Implementation:

```kotlin val generativeModel = GenerativeModel("gemini-nano")

// ALWAYS verify availability first val isAvailable = generativeModel.isAvailable() if (!isAvailable) { // Request download or show fallback UI } ```

2. Streaming Responses with Flow

• Pattern: Because generation can take time on low-end devices, always use generateContentStream to stream the UI update instead of waiting for the full response.
• Anti-Pattern: NEVER block the main thread.
• Implementation:

``kotlin viewModelScope.launch { generativeModel.generateContentStream(prompt) .catch { e -> handleError(e) } .collect { chunk -> _uiState.update { it.copy(text = it.text + chunk.text) } } } ``

🚧 Critical Anti-Hallucination Guards

• Trap: GenerativeModel is part of the com.google.ai.client.generativeai SDK. Do NOT hallucinate custom AICoreManager wrapper singletons.

🔗 Related Resources

• Google AI Edge / AICore SDK

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: prasad-vennam
• Source: prasad-vennam/Awesome-Android-AI-Agent-Skills
• License: MIT

Install and usage instructions live in the source repository linked above.