Apertis

Apertis is a unified AI gateway providing access to 470+ models from leading providers including OpenAI, Anthropic, Google, and more through a single API.

Key Features

One API Key: Access 470+ models from multiple providers with a single API key
Pay-as-you-go: Transparent pricing with no monthly fees
Enterprise Ready: High availability infrastructure with automatic failover
OpenAI Compatible: Drop-in replacement for OpenAI API
Latest Models: Immediate access to newly released models

Setup

pnpm

npm

yarn

bun

pnpm add @apertis/ai-sdk-provider

npm install @apertis/ai-sdk-provider

yarn add @apertis/ai-sdk-provider

bun add @apertis/ai-sdk-provider

Provider Instance

You can import the default apertis provider instance or create a custom one:

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

Or create a custom instance with your API key:

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

const apertis = createApertis({
  apiKey: process.env.APERTIS_API_KEY,
});

Get your API key from the Apertis Dashboard.

Language Models

Access chat models using apertis() or apertis.chat():

const model = apertis('gpt-5.2');
// or
const model = apertis.chat('claude-sonnet-4.5');

Supported Models

OpenAI: gpt-5.2, gpt-5.2-chat, gpt-5.2-pro
Anthropic: claude-opus-4-5-20251101, claude-sonnet-4.5, claude-haiku-4.5
Google: gemini-3.1-pro-preview, gemini-3-flash-preview, gemini-2.5-pro
Other: glm-4.7, minimax-m2.1, and 470+ more

Embedding Models

Create text embeddings using apertis.textEmbeddingModel():

const embeddingModel = apertis.textEmbeddingModel('text-embedding-3-small');

Supported Embedding Models

text-embedding-3-small
text-embedding-3-large
text-embedding-ada-002

Examples

Generate Text

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

const { text } = await generateText({
  model: apertis('gpt-5.2'),
  prompt: 'Explain quantum computing in simple terms.',
});

Stream Text

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

const { textStream } = await streamText({
  model: apertis('claude-sonnet-4.5'),
  prompt: 'Write a haiku about programming.',
});

for await (const chunk of textStream) {
  process.stdout.write(chunk);
}

Generate Embeddings

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

const { embedding } = await embed({
  model: apertis.textEmbeddingModel('text-embedding-3-small'),
  value: 'Hello world',
});