> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pezzo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Tutorial: Observability

> In just a few lines of code, monitor your AI operations seamlessly.

## 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!

<Note>
  This tutorial assumes you already signed up to Pezzo Cloud and created a new
  project. If you haven't done so, please [sign up to Pezzo
  Cloud](https://app.pezzo.ai).
</Note>

## Using Pezzo with OpenAI

Here is a code example:

<Tabs>
  <Tab title="Node.js">
    ```ts theme={null}
    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();
    ```
  </Tab>

  <Tab title="Python">
    ```py theme={null}
    import openai

    openai.base_url = "https://proxy.pezzo.ai/openai/v1"
    openai.default_headers = {
      "X-Pezzo-Api-Key": "<Your API Key>",
      "X-Pezzo-Project-Id": "<Your Project ID>",
      "X-Pezzo-Environment": "Production"
    }

    chat_completion = openai.chat.completions.create(
      model="gpt-3.5-turbo",
      messages=[
        {
            "role": "user",
            "content": "Tell me 5 fun facts about yourself",
        }
      ]
    )
    ```
  </Tab>
</Tabs>

**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](https://app.pezzo.ai).
* `X-Pezzo-Project-Id` - The ID of the project you want to use. You can find it anywhere [Pezzo Cloud](https://app.pezzo.ai).
* `X-Pezzo-Environment` - The name of the environment to use. By default, any Pezzo project is automatically created with a `Production` environment.

## 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](/platform/observability/overview).

<Frame caption="Pezzo Project Requests View">
  <img src="https://mintcdn.com/pezzo/UxIQ-tH2DA-EnUD8/platform/observability/requests-view.png?fit=max&auto=format&n=UxIQ-tH2DA-EnUD8&q=85&s=87b6062ea60068a323280b59631bfef3" width="2240" height="1288" data-path="platform/observability/requests-view.png" />
</Frame>

# Next Steps

<CardGroup cols={2}>
  <Card title="Request Caching" icon="bolt" href="/client/request-caching">
    Save up to 90% of your AI costs with Pezzo's request caching.
  </Card>
</CardGroup>