Aihubmix Provider

The Aihubmix provider contains unified access to multiple AI providers through the Aihubmix API, including OpenAI, Anthropic Claude, and Google Gemini models. View all available models at aihubmix.com/models.

Setup

The Aihubmix provider is available in the @aihubmix/ai-sdk-provider module. You can install it with

Provider Instance

Method 1: Using createAihubmix

To create an Aihubmix provider instance, use the createAihubmix function:

typescript

import { createAihubmix } from '@aihubmix/ai-sdk-provider';

const aihubmix = createAihubmix({
  apiKey: 'AIHUBMIX_API_KEY',
});

You can obtain your Aihubmix API key from the Aihubmix Keys.

Method 2: Using Environment Variables

Alternatively, you can use the pre-configured aihubmix instance by setting the AIHUBMIX_API_KEY environment variable:

bash

# .env
AIHUBMIX_API_KEY=your_api_key_here

Then import and use the pre-configured instance:

import { aihubmix } from '@aihubmix/ai-sdk-provider';

Usage

Chat Completion

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateText } from 'ai';

const { text } = await generateText({
  model: aihubmix('o4-mini'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

Claude Model

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateText } from 'ai';

const { text } = await generateText({
  model: aihubmix('claude-sonnet-4-5-20250929'),
  prompt: 'Explain quantum computing in simple terms.',
});

Gemini Model

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateText } from 'ai';

const { text } = await generateText({
  model: aihubmix('gemini-2.5-flash'),
  prompt: 'Create a Python script to sort a list of numbers.',
});

Image Generation

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateImage } from 'ai';

const { image } = await generateImage({
  model: aihubmix.image('gpt-image-1'),
  prompt: 'A beautiful sunset over mountains',
});

Embeddings

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { embed } from 'ai';

const { embedding } = await embed({
  model: aihubmix.embedding('text-embedding-ada-002'),
  value: 'Hello, world!',
});

Transcription

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { experimental_transcribe as transcribe } from 'ai';

const { text } = await transcribe({
  model: aihubmix.transcription('whisper-1'),
  audio: audioFile,
});

Stream Text

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { streamText } from 'ai';

const result = streamText({
  model: aihubmix('gpt-3.5-turbo'),
  prompt: 'Write a short story about a robot learning to paint.',
  maxOutputTokens: 256,
  temperature: 0.3,
  maxRetries: 3,
});

let fullText = '';
for await (const textPart of result.textStream) {
  fullText += textPart;
  process.stdout.write(textPart);
}

console.log('\nUsage:', await result.usage);
console.log('Finish reason:', await result.finishReason);

Structured Output

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateText, Output } from 'ai';
import { z } from 'zod';

const result = await generateText({
  model: aihubmix('gpt-4o-mini'),
  output: Output.object({
    schema: z.object({
      recipe: z.object({
        name: z.string(),
        ingredients: z.array(
          z.object({
            name: z.string(),
            amount: z.string(),
          }),
        ),
        steps: z.array(z.string()),
      }),
    }),
  }),
  prompt: 'Generate a lasagna recipe.',
});

console.log(JSON.stringify(result.output.recipe, null, 2));
console.log('Token usage:', result.usage);
console.log('Finish reason:', result.finishReason);

Streaming Structured Output

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { streamText, Output } from 'ai';
import { z } from 'zod';

const result = streamText({
  model: aihubmix('gpt-4o-mini'),
  output: Output.object({
    schema: z.object({
      recipe: z.object({
        name: z.string(),
        ingredients: z.array(
          z.object({
            name: z.string(),
            amount: z.string(),
          }),
        ),
        steps: z.array(z.string()),
      }),
    }),
  }),
  prompt: 'Generate a lasagna recipe.',
});

for await (const objectPart of result.partialOutputStream) {
  console.log(objectPart);
}

console.log('Token usage:', await result.usage);
console.log('Final object:', await result.output);

Embed Many

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { embedMany } from 'ai';

const { embeddings, usage } = await embedMany({
  model: aihubmix.embedding('text-embedding-3-small'),
  values: [
    'sunny day at the beach',
    'rainy afternoon in the city',
    'snowy night in the mountains',
  ],
});

console.log('Embeddings:', embeddings);
console.log('Usage:', usage);

Speech Synthesis

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { experimental_generateSpeech as generateSpeech } from 'ai';

const { audio } = await generateSpeech({
  model: aihubmix.speech('tts-1'),
  text: 'Hello, this is a test for speech synthesis.',
});

Tools

The Aihubmix provider supports various tools including web search:

import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateText } from 'ai';

const { text } = await generateText({
  model: aihubmix('gpt-5'),
  prompt: 'What are the latest developments in AI?',
  tools: {
    webSearchPreview: aihubmix.tools.webSearch({
      searchContextSize: 'high',
    }),
  },
});

Aihubmix