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qwen-ai-provider

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  • License Apache-2.0

Vercel AI Provider for running Qwen AI models

Package Exports

  • qwen-ai-provider
  • qwen-ai-provider/dist/index.js
  • qwen-ai-provider/dist/index.mjs

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (qwen-ai-provider) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

qwen-ai-provider

Qwen AI Provider for interacting with Qwen models via Alibaba Cloud's Model Studio API.

Requirements

This provider requires a valid Qwen API key and adherence to the API specifications provided by Alibaba Cloud.

Installation

The qwen-ai-provider is available as an npm package. You can install it with:

npm i qwen-ai-provider

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 qwenProvider = createQwen({
  // custom settings, e.g.:
  apiKey: "YOUR_QWEN_API_KEY",
  baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
  headers: { "Custom-Header": "value" },
})

The following optional settings can be provided:

  • baseURL string

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

  • apiKey string

    Qwen API key, defaults to the DASHSCOPE_API_KEY environment variable.

  • headers Record<string,string>

    Custom headers to include in requests.

  • queryParams Record<string,string>

    Optional URL query parameters for API calls.

  • fetch FetchFunction

    Custom fetch implementation, useful for testing or middleware.

Models

The provider supports text generation/chat and embeddings. The first argument is the model id. For example:

const chatModel = qwen("qwen-plus")

Other model functions include:

  • qwen.chatModel(modelId, settings)
  • qwen.completion(modelId, settings)
  • qwen.textEmbeddingModel(modelId, settings)
  • qwen.languageModel(modelId, settings) (alias for chatModel)

Tested Models and Capabilities

This provider has been tested with Qwen models and supports a range of features:

Feature Support
Text generation
Streaming output ✅ (if supported)
Object generation
Embedding generation

Usage Details

  • Chat Settings

    The settings object allows you to fine-tune model behavior, including streaming, temperature control, and tool integration. See inline documentation in the source code for more details.

  • Tool Integration

    Some Qwen models support tool usage for function calls. Configure the tools property in your settings as needed.

  • Versioning and Packaging

    When publishing packages (e.g. on GitHub Packages), the provider supports pre-release versioning and packaging via GitHub Actions.

Testing

This package includes a suite of tests using Vitest. To run tests:

npm run test

For more details, review the test files in the repository.