Token.js

Integrate 200+ LLMs with one TypeScript SDK using OpenAI's format. Free and open source. No proxy server required.

Features

• Use OpenAI's format to call 200+ LLMs from 10 providers.

• Supports tools, JSON outputs, image inputs, streaming, and more.

• Runs completely on the client side. No proxy server needed.

• Free and open source under MIT.

Supported Providers

• AI21

• Anthropic

• AWS Bedrock

• Cohere

• Gemini

• Groq

• Mistral

• OpenAI

• Perplexity

• OpenRouter

• Any other model provider with an OpenAI compatible API

Setup

Installation

npm

npm install token.js

pnpm

pnpm install token.js

yarn

yarn add token.js

bun

bun add token.js

Usage

Import the Token.js client and call the create function with a prompt in OpenAI's format. Specify the model and LLM provider using their respective fields.

OpenAI

.env

OPENAI_API_KEY=<openai api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'openai',
    model: 'gpt-4o',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Anthropic

.env

ANTHROPIC_API_KEY=<anthropic api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'anthropic',
    model: 'claude-3-sonnet-20240229',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Gemini

.env

GEMINI_API_KEY=<gemini api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'gemini',
    model: 'gemini-1.5-pro',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Bedrock

.env

AWS_REGION_NAME=<aws region>
AWS_ACCESS_KEY_ID=<aws access key id>
AWS_SECRET_ACCESS_KEY=<aws secret access key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'bedrock',
    model: 'meta.llama3-70b-instruct-v1:0',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Cohere

.env

COHERE_API_KEY=<cohere api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'cohere',
    model: 'command-r-plus',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Mistral

.env

MISTRAL_API_KEY=<mistral api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'mistral',
    model: 'open-mixtral-8x22b',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

OpenRouter

.env

OPENROUTER_API_KEY=<openrouter api key>

import { TokenJS } from 'token.js'

// Create the Token.js client
const tokenjs = new TokenJS()

async function main() {
  // Create a model response
  const completion = await tokenjs.chat.completions.create({
    // Specify the provider and model
    provider: 'openrouter',
    model: 'nvidia/nemotron-4-340b-instruct',
    // Define your message
    messages: [
      {
        role: 'user',
        content: 'Hello!',
      },
    ],
  })
  console.log(completion.choices[0])
}
main()

Access Credentials

We recommend using environment variables to configure the credentials for each LLM provider.

# OpenAI
OPENAI_API_KEY=
# AI21
AI21_API_KEY=
# Anthropic
ANTHROPIC_API_KEY=
# Cohere
COHERE_API_KEY=
# Gemini
GEMINI_API_KEY=
# Groq
GROQ_API_KEY=
# Mistral
MISTRAL_API_KEY=
# Perplexity
PERPLEXITY_API_KEY=
# OpenRouter
OPENROUTER_API_KEY=
# AWS Bedrock
AWS_REGION_NAME=
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
# OpenAI Compatible
OPENAI_COMPATIBLE_API_KEY=

Streaming

Token.js supports streaming responses for all providers that offer it.

import { TokenJS } from 'token.js'

const tokenjs = new TokenJS()

async function main() {
  const result = await tokenjs.chat.completions.create({
    stream: true,
    provider: 'openai',
    model: 'gpt-4o',
    messages: [
      {
        role: 'user',
        content: `Tell me about yourself.`,
      },
    ],
  })

  for await (const part of result) {
    process.stdout.write(part.choices[0]?.delta?.content || '')
  }
}
main()

Function Calling

Token.js supports the function calling tool for all providers and models that offer it.

import { TokenJS, ChatCompletionTool } from 'token.js'

const tokenjs = new TokenJS()

async function main() {
  const tools: ChatCompletionTool[] = [
    {
      type: 'function',
      function: {
        name: 'get_current_weather',
        description: 'Get the current weather in a given location',
        parameters: {
          type: 'object',
          properties: {
            location: {
              type: 'string',
              description: 'The city and state, e.g. San Francisco, CA',
            },
          },
          required: ['location'],
        },
      },
    },
  ]

  const result = await tokenjs.chat.completions.create({
    provider: 'gemini',
    model: 'gemini-1.5-pro',
    messages: [
      {
        role: 'user',
        content: `What's the weather like in San Francisco?`,
      },
    ],
    tools,
    tool_choice: 'auto',
  })

  console.log(result.choices[0].message.tool_calls)
}
main()

Feature Compatibility

This table provides an overview of the features that Token.js supports from each LLM provider.

Provider	Chat Completion	Streaming	Function Calling Tool	JSON Output	Image Input
OpenAI	✅	✅	✅	✅	✅
Anthropic	✅	✅	✅	➖	➖
Bedrock	✅	✅	✅	✅	✅
Mistral	✅	✅	✅	✅	➖
Cohere	✅	✅	✅	➖	➖
AI21	✅	✅	➖	➖	➖
Gemini	✅	✅	✅	✅	✅
Groq	✅	✅	➖	✅	➖
Perplexity	✅	✅	➖	➖	➖
OpenRouter	✅	✅	✅	✅	✅
OpenAI Compatible	✅	✅	✅	✅	✅

Legend

Symbol	Description
✅	Supported by Token.js
➖	Not supported by the LLM provider, so Token.js cannot support it

Note: Certain LLMs, particularly older or weaker models, do not support some features in this table. For details about these restrictions, see our LLM provider documentation.

License

Token.js is free and open source software licensed under MIT.