# Declare Request Example Data { #declare-request-example-data }

You can declare examples of the data your app can receive.

Here are several ways to do it.

## Extra JSON Schema data in Pydantic models { #extra-json-schema-data-in-pydantic-models }

You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

With `Form` you can declare the same configurations as with `Body` (and `Query`, `Path`, `Cookie`), including validation, examples, an alias (e.g. `user-name` instead of `username`), etc.

/// info

`Form` is a class that inherits directly from `Body`.

///

/// tip

# Cookie Parameter Models { #cookie-parameter-models }

If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

     */
    enum RepositoryMerging {

        /**
         * The repositories declared in the POM have precedence over the repositories specified in the request.
         */
        POM_DOMINANT,

        /**
         * The repositories specified in the request have precedence over the repositories declared in the POM.
         */
        REQUEST_DOMINANT,
    }

                && method.getParameterTypes().length == 0;
    }

    /**
     * Returns the element type of the parameterized collection declared as the method's argument type.
     *
     * @param method
     *            The method. Cannot be {@literal null}
     * @param position

{* ../../docs_src/python_types/tutorial004_py39.py hl[2] *}

## Declaring types { #declaring-types }

You just saw the main place to declare type hints. As function parameters.

This is also the main place you would use them with **FastAPI**.

### Simple types { #simple-types }

You can declare all the standard Python types, not only `str`.

You can use, for example:

* `int`
* `float`
* `bool`
* `bytes`

public interface BuildPluginManager {
    // igorf: Way too many declared exceptions!
    PluginDescriptor loadPlugin(Plugin plugin, List<RemoteRepository> repositories, RepositorySystemSession session)
            throws PluginNotFoundException, PluginResolutionException, PluginDescriptorParsingException,
                    InvalidPluginDescriptorException;

    // igorf: Way too many declared exceptions!
    MojoDescriptor getMojoDescriptor(

The files and form fields will be uploaded as form data and you will receive the files and form fields.

And you can declare some of the files as `bytes` and some as `UploadFile`.

/// warning

You can declare multiple `File` and `Form` parameters in a *path operation*, but you can't also declare `Body` fields that you expect to receive as JSON, as the request will have the body encoded using `multipart/form-data` instead of `application/json`.

## Additional Responses { #additional-responses }

You probably have seen how to declare the `response_model` and `status_code` for a *path operation*.

That defines the metadata about the main response of a *path operation*.

You can also declare additional responses with their models, status codes, etc.

* La documentación alternativa también reflejará el nuevo parámetro de query y body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Resumen { #recap }

En resumen, declaras **una vez** los tipos de parámetros, body, etc. como parámetros de función.

Lo haces con tipos estándar modernos de Python.

No tienes que aprender una nueva sintaxis, los métodos o clases de un paquete específico, etc.