Azure

Connect your Azure-powered application to Latitude Telemetry for feature-level observability and evaluations.

Overview

This guide shows you how to integrate Latitude Telemetry into an existing application that uses the official Azure OpenAI SDK.

After completing these steps:

• Every Azure call (e.g. chat.completions.create) can be captured as a log in Latitude.
• Logs are attached to a specific prompt and version in Latitude.
• You can annotate, evaluate, and debug your Azure-powered features from the Latitude dashboard.

You’ll keep calling Azure directly — Telemetry simply observes and enriches those calls.

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Requirements

Before you start, make sure you have:

• A Latitude account and API key.
• At least one prompt created in Latitude (so you have a promptUuid and versionUuid to associate logs with).
• A Node.js-based project that uses the Azure OpenAI SDK.

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Steps

1. Install requirements

   Add the Latitude Telemetry package to your project:

   npm

   npm add @latitude-data/telemetry @opentelemetry/api
   

2. Initialize Latitude Telemetry with Azure

   Create a LatitudeTelemetry instance and pass the OpenAI SDK as an instrumentation.

   import { LatitudeTelemetry } from '@latitude-data/telemetry'
   import OpenAI from 'openai'
   
   export const telemetry = new LatitudeTelemetry(process.env.LATITUDE_API_KEY!, {
     instrumentations: {
       openai: OpenAI, // This enables automatic tracing for the Azure OpenAI SDK
     },
   })
   

   Import telemetry (and optionally openai) wherever you need to run prompts.

3. Wrap your OpenAI-powered feature

   Wrap the code that calls OpenAI with a Telemetry prompt span, and execute your OpenAI call inside that span.

   import { context } from '@opentelemetry/api'
   import { BACKGROUND } from '@latitude-data/telemetry'
   import { AzureOpenAI } from "openai";
   
   export async function generateSupportReply(input: string) {
   
     const $prompt = telemetry.prompt(BACKGROUND(), {
       promptUuid: 'your-prompt-uuid',
       versionUuid: 'your-version-uuid', // or "live", depending on your setup
     })
   
     await context
       .with($prompt.context, async () => {
         // Your LLM-powered feature code here:
         const response = await openai.chat.completions.create({
           model: 'gpt-4o',
           messages: [
             { role: 'system', content: 'You are a helpful support assistant.' },
             { role: 'user', content: input },
           ],
         })
   
         // ...
       })
       .then(() => $prompt.end())
       .catch((error) => $prompt.fail(error as Error))
       .finally(() => telemetry.flush())
   }
   

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Seeing your logs in Latitude

Once you’ve wrapped your OpenAI-powered feature, you can see your logs in Latitude.

1. Go to the Traces section of your prompt in Latitude.
2. You should see new entries every time your code is executed, including:
   • Input/output messages
   • Model name
   • Latency and error information