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AI SDK - Alibaba Provider\n\nThe **[Alibaba provider](https://ai-sdk.dev/providers/ai-sdk-providers/alibaba)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model, embedding model, and video model support for [Alibaba Cloud Model Studio](https://modelstudio.console.alibabacloud.com/), including the Qwen model series with advanced reasoning capabilities.\n\n> **Deploying to Vercel?** With Vercel's AI Gateway you can access Alibaba (and hundreds of models from other providers) — no additional packages, API keys, or extra cost. [Get started with AI Gateway](https://vercel.com/ai-gateway).\n\n## Setup\n\nThe Alibaba provider is available in the `@ai-sdk/alibaba` module. You can install it with\n\n```bash\nnpm i @ai-sdk/alibaba\n```\n\n## Skill for Coding Agents\n\nIf you use coding agents such as Claude Code or Cursor, we highly recommend adding the AI SDK skill to your repository:\n\n```shell\nnpx skills add vercel/ai\n```\n\n## Provider Instance\n\nYou can import the default provider instance `alibaba` from `@ai-sdk/alibaba`:\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\n```\n\n## Language Model Example\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n  model: alibaba('qwen-plus'),\n  prompt: 'Write a vegetarian lasagna recipe for 4 people.',\n});\n```\n\n## Thinking Mode Example (Qwen Reasoning Models)\n\nAlibaba's Qwen models support thinking/reasoning mode for complex problem-solving:\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\nimport { generateText } from 'ai';\n\nconst { text, reasoningText } = await generateText({\n  model: alibaba('qwen3-max'),\n  providerOptions: {\n    alibaba: {\n      enableThinking: true,\n      thinkingBudget: 2048,\n    },\n  },\n  prompt: 'How many \"r\"s are in the word \"strawberry\"?',\n});\n\nconsole.log('Reasoning:', reasoningText);\nconsole.log('Answer:', text);\n```\n\n## Preserved Thinking Example (Multi-Turn Reasoning)\n\nFor models that support preserved thinking, the AI SDK sends reasoning from\nprevious assistant messages back as Alibaba `reasoning_content` by default\n(`preserve_thinking`), so the model can build on its earlier thought process:\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\nimport { generateText } from 'ai';\n\nconst providerOptions = {\n  alibaba: {\n    enableThinking: true,\n    thinkingBudget: 2048,\n  },\n};\n\nconst opening = {\n  role: 'user' as const,\n  content: 'Is Kafka or RocketMQ a better fit for transactional messages?',\n};\n\nconst first = await generateText({\n  model: alibaba('qwen3.7-max'),\n  messages: [opening],\n  providerOptions,\n});\n\nconst second = await generateText({\n  model: alibaba('qwen3.7-max'),\n  messages: [\n    opening,\n    ...first.responseMessages, // append unchanged to keep the reasoning parts\n    { role: 'user', content: 'Which tradeoff mattered most?' },\n  ],\n  providerOptions,\n});\n```\n\nWhen continuing the conversation, append `responseMessages` unchanged so the\nreasoning parts survive to be serialized as `reasoning_content`. Set the\n`preserveThinking` provider option to `false` to opt out. Keep in mind:\n\n- `preserveThinking` does not enable thinking by itself.\n- It is enabled by default only for models that Alibaba documents as supporting\n  preserved thinking; for other models the option is not sent unless you set it\n  explicitly. See Alibaba's\n  [preserved-thinking documentation](https://docs.qwencloud.com/developer-guides/text-generation/thinking#preserve-thinking-in-multi-turn).\n- Reasoning from the current tool-call round is always sent back with tool\n  results, as Alibaba recommends.\n- Preserved reasoning increases input token usage and billing.\n- Historical reasoning remains separate from visible assistant text; it is never\n  merged into `content`.\n\n## Embedding Model Example\n\n```ts\nimport { alibaba, type AlibabaEmbeddingModelOptions } from '@ai-sdk/alibaba';\nimport { embed } from 'ai';\n\nconst { embedding, usage } = await embed({\n  model: alibaba.embedding('text-embedding-v4'),\n  value: 'sunny day at the beach',\n  providerOptions: {\n    alibaba: {\n      textType: 'document',\n      dimension: 1024,\n      outputType: 'dense',\n    } satisfies AlibabaEmbeddingModelOptions,\n  },\n});\n```\n\n## Tool Calling Example\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\nimport { generateText, tool } from 'ai';\nimport { z } from 'zod';\n\nconst { text } = await generateText({\n  model: alibaba('qwen-plus'),\n  tools: {\n    weather: tool({\n      description: 'Get the weather in a location',\n      inputSchema: z.object({\n        location: z.string().describe('The location to get the weather for'),\n      }),\n      execute: async ({ location }) => ({\n        location,\n        temperature: 72 + Math.floor(Math.random() * 21) - 10,\n      }),\n    }),\n  },\n  prompt: 'What is the weather in San Francisco?',\n});\n```\n\n## Explicit Caching Example\n\nAlibaba supports both implicit and explicit prompt caching to reduce costs for repeated prompts.\n\n**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`:\n\n```ts\nimport { alibaba } from '@ai-sdk/alibaba';\nimport { generateText } from 'ai';\n\nconst longDocument = '... large document content ...';\n\nconst { text, usage } = await generateText({\n  model: alibaba('qwen-plus'),\n  messages: [\n    {\n      role: 'user',\n      content: [\n        {\n          type: 'text',\n          text: 'Context: Please analyze this document.',\n        },\n        {\n          type: 'text',\n          text: longDocument,\n          providerOptions: {\n            alibaba: {\n              cacheControl: { type: 'ephemeral' },\n            },\n          },\n        },\n      ],\n    },\n  ],\n});\n```\n\n**Note:** The minimum content length for a cache block is 1,024 tokens.\n\n## Documentation\n\nPlease check out the **[Alibaba provider documentation](https://ai-sdk.dev/providers/ai-sdk-providers/alibaba)** for more information.\n","readmeFilename":""}