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Work in progress: Telemetry documentation is still being updated. Integration steps and APIs may be incomplete or out of date. Verify against your SDK versions and check back for revisions.

Overview

This guide shows you how to integrate Latitude Telemetry into an application that uses Google Cloud Vertex AI.
You’ll keep calling Vertex AI exactly as you do today. Telemetry simply observes and enriches those calls.

Requirements

  • A Latitude account and API key
  • A Latitude project slug
  • A project that uses the Vertex AI SDK

Steps

1

Install

npm install @latitude-data/telemetry
2

Initialize and use

import { initLatitude, capture } from "@latitude-data/telemetry"
import { VertexAI } from "@google-cloud/vertexai"

const latitude = initLatitude({
  apiKey: process.env.LATITUDE_API_KEY!,
  projectSlug: process.env.LATITUDE_PROJECT_SLUG!,
  instrumentations: ["vertexai"],
})

await latitude.ready

const vertexAI = new VertexAI({
  project: process.env.GCP_PROJECT_ID!,
  location: "us-central1",
})
const model = vertexAI.getGenerativeModel({ model: "gemini-1.5-flash" })

await capture("generate-reply", async () => {
  const result = await model.generateContent("Hello")
  return result.response.candidates?.[0].content.parts[0].text
})

await latitude.shutdown()

Seeing Your Traces

Once connected, traces appear automatically in Latitude:
  1. Open your project in the Latitude dashboard
  2. Each execution shows input/output messages, model, token usage, latency, and errors

That’s It

No changes to your Vertex AI calls: just initialize Latitude and your LLM calls are traced.