But for those additional responses you have to make sure you return a `Response` like `JSONResponse` directly, with your status code and content.

## Additional Response with `model`

You can pass to your *path operation decorators* a parameter `responses`.

It receives a `dict`: the keys are status codes for each response (like `200`), and the values are other `dict`s with the information for each of them.

* **Uitbreidbaar**:
    * Met Pydantic kunnen op maat gemaakte datatypen worden gedefinieerd of je kunt validatie uitbreiden met methoden op een model dat is ingericht met de decorator validator.

 * one or more methods to modify the behavior of the backing multiset as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingMultiset} forward <b>indiscriminately</b> to
 * the methods of the delegate. For example, overriding {@link #add(Object, int)} alone <b>will

That's it.

**2 lines**.

And it has the same shape and structure that all your *path operation functions* have.

You can think of it as a *path operation function* without the "decorator" (without the `@app.get("/some-path")`).

And it can return anything you want.

In this case, this dependency expects:

* An optional query parameter `q` that is a `str`.

Lo importante es que usando los tipos de Python estándar en un único lugar (en vez de añadir más clases, decorator, etc.) **FastAPI** hará mucho del trabajo por ti.

/// info | Información

* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

                  "max_stream_duration": {
                   "max_stream_duration": "0s",
                   "grpc_timeout_header_max": "0s"
                  }
                 },
                 "decorator": {
                  "operation": ":0/*"
                 },
                 "name": "default"
                }
               ]
              }
             ],

Önemli olan, standart Python türlerini tek bir yerde kullanarak (daha fazla sınıf, dekoratör vb. eklemek yerine), **FastAPI**'nin bizim için işi yapmasını sağlamak.

/// info

* **قابل توسعه**:
    * Pydantic اجازه میدهد تا data type های سفارشی تعریف شوند یا میتوانید اعتبارسنجی را با روش هایی به روی مدل ها با <abbr title="دکوریتور های اعتبارسنج">validator decorator</abbr> گسترش دهید.

{!../../docs_src/first_steps/tutorial001.py!}
```

`@app.get("/")`은 **FastAPI**에게 바로 아래에 있는 함수가 다음으로 이동하는 요청을 처리한다는 것을 알려줍니다.

* 경로 `/`
* <abbr title="HTTP GET 메소드"><code>get</code> 작동</abbr> 사용

/// info | "`@decorator` 정보"

이 `@something` 문법은 파이썬에서 "데코레이터"라 부릅니다.

마치 예쁜 장식용(Decorative) 모자처럼(개인적으로 이 용어가 여기서 유래한 것 같습니다) 함수 맨 위에 놓습니다.

"데코레이터"는 아래 있는 함수를 받아 그것으로 무언가를 합니다.