npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@stewmore/expo-ai-android-aicore

v0.7.2

Published

Android Gemini Nano via ML Kit GenAI / AICore (on-device) provider for the Expo AI Runtime.

Readme

@stewmore/expo-ai-android-aicore

Android Gemini Nano via ML Kit GenAI / AICore (on-device) provider for the Expo AI Runtime.

Install & use

import { ExpoAI } from '@stewmore/expo-ai-core';
import '@stewmore/expo-ai-android-aicore'; // registers the Android adapter (side-effect import)

const caps = await ExpoAI.getCapabilities();
if (caps.available && caps.provider === 'android-aicore-gemini-nano') {
  const result = await ExpoAI.generate({ prompt: 'Write a haiku about Kotlin.' });
  console.log(result.text); // privacy: on-device
}

If the model isn't downloaded yet, the availability reason is model_not_downloaded; trigger a download:

import { downloadGeminiNanoModel } from '@stewmore/expo-ai-android-aicore';
await downloadGeminiNanoModel();

Config plugin

The native module autolinks on its own, but add the config plugin so expo prebuild also raises the project's minSdkVersion to the AICore floor (26) — no manual expo-build-properties editing:

{
  "expo": {
    "plugins": ["@stewmore/expo-ai-android-aicore"]
  }
}

Override the floor if your app already targets a higher API:

{
  "expo": {
    "plugins": [["@stewmore/expo-ai-android-aicore", { "minSdkVersion": 31 }]]
  }
}

Requirements

  • A device with AICore / Gemini Nano (e.g. recent Pixel and Galaxy flagships), Android API 26+.
  • A development build (custom native code — not Expo Go): npx expo prebuild && npx expo run:android.

AICore is system-managed and may still be initializing — the adapter surfaces model_initializing / aicore_unavailable (retryable) so the runtime can fall back per the app's policy.

What it maps

| Runtime | ML Kit GenAI | | -------------------- | ----------------------------------------------------------------------------- | | generate | Prompt API GenerativeModel.generateContent | | stream | generateContentStream (Flow) → token deltas | | capability detection | checkStatus()FeatureStatus | | model download | download() (downloadGeminiNanoModel) | | sessions | emulated (transcript replayed as prompt prefix — the Prompt API is stateless) | | errors | GenAiException.errorCodeExpoAIError |

Structured output and summarize/rewrite/proofread are provided by the core runtime over generate (JSON prompt + validate + repair).

The com.google.mlkit:genai-prompt API is beta; bump the dependency version and confirm symbol names against the installed SDK when building.