In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

 & `Response` 💪 ⚙️ 🛎 ⚒ 🎚 & 🍪, **FastAPI** 🚚 ⚫️ `fastapi.Response`.

///

## 🛃 🎚

✔️ 🤯 👈 🛃 © 🎚 💪 🚮 <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers" class="external-link" target="_blank">⚙️ '✖-' 🔡</a>.

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

### Checando a documentação

Você pode ver os headers necessários na interface gráfica da documentação em `/docs`:

<div class="screenshot">
<img src="/img/tutorial/header-param-models/image01.png">
</div>

### Proibindo Cabeçalhos adicionais

## API Response

XML response for this API is similar to [AWS STS AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html#API_AssumeRoleWithWebIdentity_ResponseElements)

## Example request and response

Sample request with `curl`:

```sh

Isso será definido no OpenAPI com `anyOf`.

Para fazer isso, use a dica de tipo padrão do Python <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

/// note

Он будет определён в OpenAPI как `anyOf`.

Для этого используйте стандартные аннотации типов в Python <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

/// note | Примечание

## Website

[fess.codelibs.org](https://fess.codelibs.org/)

## Probleme/Fragen

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Erste Schritte

      MultipartBody
        .Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("title", "Square Logo")
        .addFormDataPart(
          "image",
          "logo-square.png",
          File("docs/images/logo-square.png").asRequestBody(MEDIA_TYPE_PNG),
        ).build()

    val request =
      Request
        .Builder()
        .header("Authorization", "Client-ID $IMGUR_CLIENT_ID")

**FastAPI** **extraerá** los datos de **cada campo** de los **form data** en el request y te dará el modelo de Pydantic que definiste.

## Revisa la Documentación

Puedes verificarlo en la interfaz de documentación en `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## Prohibir Campos de Formulario Extra