Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way.

You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.

There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.

Sie haben eigentlich keine Benutzer, die sich bei Ihrer Anwendung anmelden, sondern Roboter, Bots oder andere Systeme, die nur über einen Zugriffstoken verfügen? Auch hier funktioniert alles gleich.

Es besteht auch die Möglichkeit, dass es aus irgendeinem Grund zu **Spitzen** in der Nutzung Ihrer API kommt. Vielleicht ist diese viral gegangen, oder vielleicht haben andere Dienste oder Bots damit begonnen, sie zu nutzen. Und vielleicht möchten Sie in solchen Fällen über zusätzliche Ressourcen verfügen, um auf der sicheren Seite zu sein.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

!!! tip
    When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

This way, you can get the best of both worlds: type annotations with **tooling support** and **data filtering**.

## See it in the docs

When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema:

<img src="/img/tutorial/response-model/image01.png">

And both models will be used for the interactive API documentation:

## Server Machine and Server Program

There's a small detail about names to keep in mind. 💡

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

Let's say that now the file `main.py` with your **FastAPI** app has some other **path operations**.

It has a `GET` operation that could return an error.

It has a `POST` operation that could return several errors.

Both *path operations* require an `X-Token` header.

=== "Python 3.10+"

    ```Python
    {!> ../../../docs_src/app_testing/app_b_an_py310/main.py!}
    ```

=== "Python 3.9+"

    ```Python

* ⬆ Bump pypa/gh-action-pypi-publish from 1.8.11 to 1.8.14. PR [#11318](https://github.com/tiangolo/fastapi/pull/11318) by [@dependabot[bot]](https://github.com/apps/dependabot).
* ⬆ Bump pillow from 10.1.0 to 10.2.0. PR [#11011](https://github.com/tiangolo/fastapi/pull/11011) by [@dependabot[bot]](https://github.com/apps/dependabot).

Esse é o caso da maioria das aplicações web.

Geralmente são muitos usuários, e seu servidor está esperando pelas suas conexões não tão boas para enviar as requisições.

E então esperando novamente pelas respostas voltarem.

Essa "espera" é medida em microssegundos, e ainda assim, somando tudo, é um monte de espera no final.