Vercel

1. Installation

First install the TraceAI + Vercel packages (and OpenTelemetry peer deps). Pick your favourite package manager:

npm install @traceai/vercel @vercel/otel \
  @opentelemetry/api @opentelemetry/sdk-trace-base \
  @opentelemetry/exporter-trace-otlp-grpc @grpc/grpc-js \
  @ai-sdk/openai

yarn add @traceai/vercel @vercel/otel \
  @opentelemetry/api @opentelemetry/sdk-trace-base \
  @opentelemetry/exporter-trace-otlp-grpc @grpc/grpc-js \
  @ai-sdk/openai

pnpm add @traceai/vercel @vercel/otel \
  @opentelemetry/api @opentelemetry/sdk-trace-base \
  @opentelemetry/exporter-trace-otlp-grpc @grpc/grpc-js \
  @ai-sdk/openai

Note Vercel currently supports OpenTelemetry v1.x. Avoid installing @opentelemetry/* 2.x packages.

2. Set Environment Variables

Configure your Future AGI credentials (locally via .env, or in Vercel Project → Settings → Environment Variables).

FI_API_KEY=<YOUR_FI_API_KEY>
FI_SECRET_KEY=<YOUR_FI_SECRET_KEY>

3. Initialise tracing

Create instrumentation.ts and import it once on the server (e.g. in _app.tsx or at the top of your first API route).

// eslint-disable-next-line @typescript-eslint/ban-ts-comment
// @ts-ignore — module ships without types
import { registerOTel } from "@vercel/otel";
import { diag, DiagConsoleLogger, DiagLogLevel } from "@opentelemetry/api";
import { FISimpleSpanProcessor, isFISpan } from "@traceai/vercel";
import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-grpc";
import { Metadata } from "@grpc/grpc-js";

// Optional: verbose console logs while testing
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);

export function register() {
  registerOTel({
    attributes: {
      project_name: "vercel-project",
      project_type: "observe",
    },
    spanProcessors: [
      new FISimpleSpanProcessor({
        exporter: (() => {
          const meta = new Metadata();
          meta.set("x-api-key", process.env.FI_API_KEY ?? "");
          meta.set("x-secret-key", process.env.FI_SECRET_KEY ?? "");
          return new OTLPTraceExporter({ url: "grpc://grpc.futureagi.com", metadata: meta });
        })(),
        // Export only TraceAI spans (remove if you want everything)
        spanFilter: isFISpan,
      }),
    ],
  });
}

4. Instrument an API Route

Our instrumentation is automatic—just import and call the register function inside each serverless function.

import type { NextApiRequest, NextApiResponse } from "next";
import { register as registerTracing } from "../../instrumentation";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

export default async function handler(req: NextApiRequest, res: NextApiResponse) {
  registerTracing(); // initialise OTEL + exporters

  const result = await generateText({
    model: openai("gpt-4o-mini"),
    prompt: "Write a short creative story about a time-traveling detective.",
    experimental_telemetry: { isEnabled: true }, // ⇢ creates spans for each call
    maxTokens: 300,
  });

  res.status(200).json({
    story: result.text?.trim() ?? "n/a",
  });
}

That’s it—deploy to Vercel and watch traces flow into Observe → Traces in real time 🎉