Together.ai Provider

The Together.ai provider contains support for 200+ open-source models through the Together.ai API.

Setup

The Together.ai provider is available via the @ai-sdk/togetherai module. You can install it with

pnpm
npm
yarn
pnpm add @ai-sdk/togetherai

Provider Instance

You can import the default provider instance togetherai from @ai-sdk/togetherai:

import { togetherai } from '@ai-sdk/togetherai';

If you need a customized setup, you can import createTogetherAI from @ai-sdk/togetherai and create a provider instance with your settings:

import { createTogetherAI } from '@ai-sdk/togetherai';
const togetherai = createTogetherAI({
apiKey: process.env.TOGETHER_AI_API_KEY ?? '',
});

You can use the following optional settings to customize the Together.ai provider instance:

  • baseURL string

    Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is https://api.together.xyz/v1.

  • apiKey string

    API key that is being sent using the Authorization header. It defaults to the TOGETHER_AI_API_KEY environment variable.

  • headers Record<string,string>

    Custom headers to include in the requests.

  • fetch (input: RequestInfo, init?: RequestInit) => Promise<Response>

    Custom fetch implementation. Defaults to the global fetch function. You can use it as a middleware to intercept requests, or to provide a custom fetch implementation for e.g. testing.

Language Models

You can create Together.ai models using a provider instance. The first argument is the model id, e.g. google/gemma-2-9b-it.

const model = togetherai('google/gemma-2-9b-it');

Example

You can use Together.ai language models to generate text with the generateText function:

import { togetherai } from '@ai-sdk/togetherai';
import { generateText } from 'ai';
const { text } = await generateText({
model: togetherai('meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo'),
prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

Together.ai language models can also be used in the streamText and streamUI functions (see AI SDK Core and AI SDK RSC).

The Together.ai provider also supports completion models via (following the above example code) togetherai.completionModel() and embedding models via togetherai.textEmbeddingModel().

Model Capabilities

ModelImage InputObject GenerationTool UsageTool Streaming
meta-llama/Meta-Llama-3.3-70B-Instruct-Turbo
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
mistralai/Mixtral-8x22B-Instruct-v0.1
mistralai/Mistral-7B-Instruct-v0.3
google/gemma-2b-it
Qwen/Qwen2.5-72B-Instruct-Turbo
databricks/dbrx-instruct

The table above lists popular models. Please see the Together.ai docs for a full list of available models. You can also pass any available provider model ID as a string if needed.