AI SDK is a library that allows you to add LLM features to your JS/TS applications. It supports tracing using OpenTelemetry. Laminar tracing is based on OpenTelemetry, so it is fully compatible with Vercel AI SDK tracing and you can start sending Vercel AI SDK traces to Laminar right away.
1

Get your project API key

To get the project API key, go to the Laminar dashboard, click the project settings, and generate a project API key. This is available both in the cloud and in the self-hosted version of Laminar.Specify the key at Laminar initialization. If not specified, Laminar will look for the key in the LMNR_PROJECT_API_KEY environment variable.
2

Initialize Laminar

In Next.js, place Laminar.initialize in the instrumentation.ts file.
instrumentation.ts
export async function register() {
  // prevent this from running in the edge runtime
  if (process.env.NEXT_RUNTIME === 'nodejs') {
    const { Laminar } = await import('@lmnr-ai/lmnr');

    Laminar.initialize({
      projectApiKey: process.env.LMNR_PROJECT_API_KEY,
    });
  }
}
You will also need to update your next.config.ts file to include the serverExternalPackages option.
next.config.ts
const nextConfig = {
  serverExternalPackages: ['@lmnr-ai/lmnr'],
};
This is because Laminar depends on OpenTelemetry, which uses some Node.js-specific functionality, and we need to inform Next.js about it. Learn more in the Next.js docs.
3

Update your AI SDK calls

We need to pass the Laminar tracer to the generateText, or streamText, or any other generate* calls.
import { openai } from '@ai-sdk/openai';
import { generateText } from 'ai';
import { getTracer } from '@lmnr-ai/lmnr';

const { text } = await generateText({
  model: openai('gpt-4.1-nano'),
  prompt: 'What is Laminar flow?',
  experimental_telemetry: {
    isEnabled: true,
    tracer: getTracer(),
  },
});