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@flwr/flwr

v0.1.6

Published

Flower Intelligence: Open-Source On-Device AI with optional Confidential Remote Compute.

Downloads

583

Readme

Flower Intelligence

Check out the full documentation here, and the project website here.

Install

To install via NPM, run:

npm i @flwr/flwr

Alternatively, you can use it in vanilla JS, without any bundler, by using a CDN or static hosting. For example, using ES Modules, you can import the library with:

<script type="module">
  import { FlowerIntelligence } from 'https://cdn.jsdelivr.net/npm/@flwr/flwr';
</script>

Hello, Flower Intelligence!

import { FlowerIntelligence } from '@flwr/flwr';

const fi = FlowerIntelligence.instance;

async function main() {
  const response = await fi.chat({
    model: 'meta/llama3.2-1b/instruct-fp16',
    messages: [
      { role: 'system', content: 'You are a helpful assistant' },
      { role: 'user', content: 'How are you?' },
    ],
  });

  if (!response.ok) {
    console.error(`${response.failure.code}: ${response.failure.description}`);
  } else {
    console.log(response.message.content);
  }
}

await main().then().catch();

Demo

You can also quickly try out the library with the examples/hello-world-ts example (which is a minimal TypeScript project):

git clone --depth=1 https://github.com/adap/flower.git _tmp && \
mv _tmp/intelligence/ts/examples/hello-world-ts . && \
rm -rf _tmp && \
cd hello-world-ts

npm i
npm run build
npm run start

You'll find a list of other examples here.