Package Exports
- @aihubmix/ai-sdk-provider
- @aihubmix/ai-sdk-provider/package.json
Readme
AI SDK - Aihubmix Provider
🎉 10% discount! Built-in app-code; using this method to request all models offers a 10% discount.
Aihubmix Official Website | Model Square
The Aihubmix provider for the AI SDK One Gateway, Infinite Models;one-stop request: OpenAI, Claude, Gemini, DeepSeek, Qwen, and over 500 AI models.
📦 Version 1.0.1 - Compatible with AI SDK v6
Supported Features
The Aihubmix provider supports the following AI features:
- Text Generation: Chat completion with various models
- Streaming Text: Real-time text streaming
- Image Generation: Create images from text prompts
- Embeddings: Single and batch text embeddings
- Object Generation: Structured data generation with schemas
- Streaming Objects: Real-time structured data streaming
- Speech Synthesis: Text-to-speech conversion
- Transcription: Speech-to-text conversion
- Tools: Web search and other tools
Setup
The Aihubmix provider is available in the @aihubmix/ai-sdk-provider module. You can install it with @aihubmix/ai-sdk-provider
npm i @aihubmix/ai-sdk-providerProvider Instance
You can import the default provider instance aihubmix from @aihubmix/ai-sdk-provider:
import { aihubmix } from '@aihubmix/ai-sdk-provider';Configuration
Set your Aihubmix API key as an environment variable:
export AIHUBMIX_API_KEY="your-api-key-here"Or pass it directly to the provider:
import { createAihubmix } from '@aihubmix/ai-sdk-provider';
const aihubmix = createAihubmix({
apiKey: 'your-api-key-here',
});Usage
First, import the necessary functions:
import { createAihubmix } from '@aihubmix/ai-sdk-provider';
import {
generateText,
streamText,
experimental_generateImage as generateImage,
embed,
embedMany,
generateObject,
streamObject,
experimental_generateSpeech as generateSpeech,
experimental_transcribe as transcribe
} from 'ai';
import { z } from 'zod';Note: Some APIs like
generateImage,generateSpeech, andtranscribeare still experimental in AI SDK v6.
Generate Text
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-3-7-sonnet-20250219'),
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 { 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);Generate Object
import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { generateObject } from 'ai';
import { z } from 'zod';
const result = await generateObject({
model: aihubmix('gpt-4o-mini'),
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.object.recipe, null, 2));
console.log('Token usage:', result.usage);
console.log('Finish reason:', result.finishReason);Stream Object
import { aihubmix } from '@aihubmix/ai-sdk-provider';
import { streamObject } from 'ai';
import { z } from 'zod';
const result = await streamObject({
model: aihubmix('gpt-4o-mini'),
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.partialObjectStream) {
console.log(objectPart);
}
console.log('Token usage:', result.usage);
console.log('Final object:', result.object);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 { generateSpeech } from 'ai';
const { audio } = await generateSpeech({
model: aihubmix.speech('tts-1'),
text: 'Hello, this is a test for speech synthesis.',
});
// Save the audio file
await saveAudioFile(audio);
console.log('Audio generated successfully:', audio);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-4'),
prompt: 'What are the latest developments in AI?',
tools: {
webSearchPreview: aihubmix.tools.webSearchPreview({
searchContextSize: 'high',
}),
},
});