Qwen Provider

younis-ahmed/qwen-ai-provider is a community provider that uses Qwen to provide language model support for the AI SDK.

Setup

The Qwen provider is available in the qwen-ai-provider module. You can install it with

<Tabs items={['pnpm', 'npm', 'yarn', 'bun']}> <Tab> <Snippet text="pnpm add qwen-ai-provider" dark /> </Tab> <Tab> <Snippet text="npm install qwen-ai-provider" dark /> </Tab> <Tab> <Snippet text="yarn add qwen-ai-provider" dark /> </Tab>

Provider Instance

You can import the default provider instance qwen from qwen-ai-provider:

import { qwen } from 'qwen-ai-provider';

If you need a customized setup, you can import createQwen from qwen-ai-provider and create a provider instance with your settings:

import { createQwen } from 'qwen-ai-provider';

const qwen = createQwen({
  // optional settings, e.g.
  // baseURL: 'https://qwen/api/v1',
});

You can use the following optional settings to customize the Qwen provider instance:

• baseURL string

  Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is https://dashscope-intl.aliyuncs.com/compatible-mode/v1.

• apiKey string

  API key that is being sent using the Authorization header. It defaults to the DASHSCOPE_API_KEY environment variable.

• headers Record<string,string>

  Custom headers to include in the requests.

• fetch (input: RequestInfo, init?: RequestInit) => Promise<Response>

  Custom fetch implementation. Defaults to the global fetch function. You can use it as a middleware to intercept requests, or to provide a custom fetch implementation for e.g. testing.

Language Models

You can create models that call the Qwen chat API using a provider instance. The first argument is the model id, e.g. qwen-plus. Some Qwen chat models support tool calls.

const model = qwen('qwen-plus');

Example

You can use Qwen language models to generate text with the generateText function:

import { qwen } from 'qwen-ai-provider';
import { generateText } from 'ai';

const { text } = await generateText({
  model: qwen('qwen-plus'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

Qwen language models can also be used in the streamText function and support structured data generation with Output (see AI SDK Core).

Model Capabilities

Embedding Models

You can create models that call the Qwen embeddings API using the .embeddingModel() factory method.

const model = qwen.embeddingModel('text-embedding-v3');

Model Capabilities