@ai-sdk/alibaba
v1.0.4
Published
The **[Alibaba provider](https://ai-sdk.dev/providers/ai-sdk-providers/alibaba)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Alibaba Cloud Model Studio](https://modelstudio.console.alibabacloud.com/), including the Qwen
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AI SDK - Alibaba Provider
The Alibaba provider for the AI SDK contains language model support for Alibaba Cloud Model Studio, including the Qwen model series with advanced reasoning capabilities.
Setup
The Alibaba provider is available in the @ai-sdk/alibaba module. You can install it with
npm i @ai-sdk/alibabaSkill for Coding Agents
If you use coding agents such as Claude Code or Cursor, we highly recommend adding the AI SDK skill to your repository:
npx skills add vercel/aiProvider Instance
You can import the default provider instance alibaba from @ai-sdk/alibaba:
import { alibaba } from '@ai-sdk/alibaba';Language Model Example
import { alibaba } from '@ai-sdk/alibaba';
import { generateText } from 'ai';
const { text } = await generateText({
model: alibaba('qwen-plus'),
prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});Thinking Mode Example (Qwen Reasoning Models)
Alibaba's Qwen models support thinking/reasoning mode for complex problem-solving:
import { alibaba } from '@ai-sdk/alibaba';
import { generateText } from 'ai';
const { text, reasoningText } = await generateText({
model: alibaba('qwen3-max'),
providerOptions: {
alibaba: {
enableThinking: true,
thinkingBudget: 2048,
},
},
prompt: 'How many "r"s are in the word "strawberry"?',
});
console.log('Reasoning:', reasoningText);
console.log('Answer:', text);Tool Calling Example
import { alibaba } from '@ai-sdk/alibaba';
import { generateText, tool } from 'ai';
import { z } from 'zod';
const { text } = await generateText({
model: alibaba('qwen-plus'),
tools: {
weather: tool({
description: 'Get the weather in a location',
parameters: z.object({
location: z.string().describe('The location to get the weather for'),
}),
execute: async ({ location }) => ({
location,
temperature: 72 + Math.floor(Math.random() * 21) - 10,
}),
}),
},
prompt: 'What is the weather in San Francisco?',
});Explicit Caching Example
Alibaba supports both implicit and explicit prompt caching to reduce costs for repeated prompts.
Implicit caching works automatically - the provider caches appropriate content without any configuration. For more control, you can use explicit caching by marking specific messages with cacheControl:
import { alibaba } from '@ai-sdk/alibaba';
import { generateText } from 'ai';
const { text, usage } = await generateText({
model: alibaba('qwen-plus'),
messages: [
{
role: 'system',
content: 'You are a helpful assistant. [... long system prompt ...]',
providerMetadata: {
alibaba: {
cacheControl: { type: 'ephemeral' },
},
},
},
{
role: 'user',
content: 'What is the capital of France?',
},
],
});Documentation
Please check out the Alibaba provider documentation for more information.
