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What you’ll learn

You’re going to learn how to easily use Pezzo to supercharge your AI operations with monitoring and observability. It takes just a few lines of code!

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Using Pezzo with OpenAI

Here is a code example:

• Node.js

• Python

import OpenAI from "openai";

// Initialize the Pezzo client
const openai = new OpenAI({
  baseURL: "https://proxy.pezzo.ai/openai/v1",
  defaultHeaders: {
    "X-Pezzo-Api-Key": "<Your API Key>",
    "X-Pezzo-Project-Id": "<Your Project ID>",
    "X-Pezzo-Environment": "Production",
  }
});

async function main() {
  // Make calls to the OpenAI API as you normally would!
  const completion = await openai.chat.completions.create(
    {
      model: "gpt-3.5-turbo",
      temperature: 0,
      messages: [
        {
          role: "user",
          content: "Tell me 5 fun facts about yourself",
        },
      ],
    }
  );
}

main();

Let’s explain what’s going on here:

We import and instantiate the OpenAI client with a few additional parameters. First, the baseURL which tells the OpenAI client to proxy the request through Pezzo.

Then, we set a few default headers that will be present at any request made to OpenAI. These are:

• X-Pezzo-Api-Key - Your Pezzo API key. You can find it in your Organization page in Pezzo Cloud.
• X-Pezzo-Project-Id - The ID of the project you want to use. You can find it anywhere Pezzo Cloud.
• X-Pezzo-Environment - The name of the environment to use. By default, any Pezzo project is automatically created with a Production environment.

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Monitoring Requests

After integrating with Pezzo and making some requests to OpenAI, you should see all historical requests in the Requests view in Pezzo.

If you want to learn more about Pezzo’s observability feature, check out the Observability section in the docs.

Pezzo Project Requests View

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Next Steps