```Python hl_lines="11  14-16"
{!../../../docs_src/sub_applications/tutorial001.py!}
```

### Die Unteranwendung mounten

Mounten Sie in Ihrer Top-Level-Anwendung `app` die Unteranwendung `subapi`.

In diesem Fall wird sie im Pfad `/subapi` gemountet:

```Python hl_lines="11  19"
{!../../../docs_src/sub_applications/tutorial001.py!}
```

    ```

!!! info
    Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: List[Image]
```

That information will be included in the generated OpenAPI and used by the documentation user interfaces and external tools.

!!! note
    Keep in mind that different tools might have different levels of OpenAPI support.

    Some of them might not show all the extra information declared yet, although in most of the cases, the missing feature is already planned for development.

You can add a `title`:

            ) && !oauth2.auth.code) {
                if (!isValid) {
                    oauth2.errCb({
                        authId: oauth2.auth.name,
                        source: "auth",
                        level: "warning",
                        message: "Authorization may be unsafe, passed state was changed in server. The passed state wasn't returned from auth server."
                    });
                }

    title: Seamless FastAPI Configuration with ConfZ
  - author: Kaustubh Gupta
    author_link: https://medium.com/@kaustubhgupta1828/
    link: https://levelup.gitconnected.com/5-advance-features-of-fastapi-you-should-try-7c0ac7eebb3e
    title: 5 Advanced Features of FastAPI You Should Try
  - author: Kaustubh Gupta
    author_link: https://medium.com/@kaustubhgupta1828/

This kind of asynchronicity is what made NodeJS popular (even though NodeJS is not parallel) and that's the strength of Go as a programming language.

And that's the same level of performance you get with **FastAPI**.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

Nevertheless, as of now, Uvicorn's capabilities for handling worker processes are more limited than Gunicorn's. So, if you want to have a process manager at this level (at the Python level), then it might be better to try with Gunicorn as the process manager.

In any case, you would run it like this:

<div class="termy">

```console

One of those distributed container management systems like Kubernetes normally has some integrated way of handling **replication of containers** while still supporting **load balancing** for the incoming requests. All at the **cluster level**.

It includes the `tags`, `parameters`, `requestBody`, `responses`, etc.

This *path operation*-specific OpenAPI schema is normally generated automatically by **FastAPI**, but you can also extend it.

!!! tip
    This is a low level extension point.

    If you only need to declare additional responses, a more convenient way to do it is with [Additional Responses in OpenAPI](additional-responses.md){.internal-link target=_blank}.