TokenLab

Frameworks & Platforms

Vercel AI SDK

Use TokenLab models with Vercel AI SDK

Overview

Use the OpenAI-compatible provider for Chat Completions. If the selected model and your application need Responses, use the OpenAI provider with the same TokenLab Base URL.

TokenLab Provider Package

TokenLab also provides a small Vercel AI SDK wrapper:

npm install ai @tokenlabai/ai-sdk-provider
import { generateText } from 'ai';
import { tokenlab } from '@tokenlabai/ai-sdk-provider';

const { text } = await generateText({
  model: tokenlab.chatModel('gpt-5.6-terra'),
  prompt: 'Explain TokenLab in one sentence.',
});

console.log(text);
npm install ai @ai-sdk/openai-compatible zod
import { createOpenAICompatible } from '@ai-sdk/openai-compatible';

export const tokenlab = createOpenAICompatible({
  name: 'tokenlab',
  apiKey: process.env.TOKENLAB_API_KEY,
  baseURL: 'https://api.tokenlab.sh/v1',
});

Generate Text

import { generateText } from 'ai';
import { tokenlab } from './tokenlab';

const { text } = await generateText({
  model: tokenlab.chatModel('gpt-5.6-terra'),
  prompt: 'Explain TokenLab in one sentence.',
});

console.log(text);

Stream Text

import { streamText } from 'ai';
import { tokenlab } from './tokenlab';

const result = await streamText({
  model: tokenlab.chatModel('gpt-5.6-terra'),
  prompt: 'Write a short poem about coding.',
});

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

Tool Calling

import { generateText, stepCountIs, tool } from 'ai';
import { z } from 'zod';
import { tokenlab } from './tokenlab';

const result = await generateText({
  model: tokenlab.chatModel('gpt-5.6-terra'),
  prompt: 'What is the weather in San Francisco?',
  stopWhen: stepCountIs(2),
  tools: {
    weather: tool({
      description: 'Get weather in a location',
      inputSchema: z.object({
        location: z.string(),
      }),
      execute: async ({ location }) => ({
        location,
        temperature: 72,
        condition: 'sunny',
      }),
    }),
  },
});

console.log(result.text);

Structured Output

import { generateObject } from 'ai';
import { z } from 'zod';
import { tokenlab } from './tokenlab';

const { object } = await generateObject({
  model: tokenlab.chatModel('gpt-5.6-terra'),
  schema: z.object({
    name: z.string(),
    role: z.string(),
  }),
  prompt: 'Generate a fake developer profile.',
});

console.log(object);

If You Explicitly Need Responses-Native Behavior

npm install ai @ai-sdk/openai
import { createOpenAI } from '@ai-sdk/openai';

export const tokenlabResponses = createOpenAI({
  apiKey: process.env.TOKENLAB_API_KEY,
  baseURL: 'https://api.tokenlab.sh/v1',
});
import { generateText } from 'ai';
import { tokenlabResponses } from './tokenlab-responses';

const { text } = await generateText({
  model: tokenlabResponses('gpt-5.6-terra'),
  prompt: 'Explain TokenLab in one sentence.',
});

Use @ai-sdk/openai-compatible as the safe default for proxy-style integrations. Switch to @ai-sdk/openai only when you explicitly want a provider path built on /v1/responses.

Environment Variables

# .env.local
TOKENLAB_API_KEY=sk-your-tokenlab-key

Best Practices

On this page