Pero todavía quieres poder filtrar y convertir los datos que devuelves con un `response_model`.

Para esos casos, puedes usar un parámetro `Response`.

## Usa un parámetro `Response`

Puedes declarar un parámetro de tipo `Response` en tu *función de path operation* (como puedes hacer para cookies y headers).

Y luego puedes establecer el `status_code` en ese objeto de response *temporal*.

import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@link NetworkConnections} for undirected networks with parallel edges.
 *
 * @author James Sexton
 * @param <N> Node parameter type
 * @param <E> Edge parameter type
 */
final class UndirectedMultiNetworkConnections<N, E>
    extends AbstractUndirectedNetworkConnections<N, E> {

  private UndirectedMultiNetworkConnections(Map<E, N> incidentEdges) {

Il est conçu pour avoir des fonctions qui reçoivent deux paramètres, une "requête" et une "réponse". Ensuite, vous
"lisez" des parties de la requête et "écrivez" des parties dans la réponse. En raison de cette conception, il n'est
pas possible de déclarer des paramètres de requête et des corps avec des indications de type Python standard comme paramètres de fonction.

import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * A base implementation of {@link NetworkConnections} for directed networks.
 *
 * @author James Sexton
 * @param <N> Node parameter type
 * @param <E> Edge parameter type
 */
abstract class AbstractDirectedNetworkConnections<N, E> implements NetworkConnections<N, E> {
  /** Keys are edges incoming to the origin node, values are the source node. */

/**
 * A functional interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data.
 *
 * <p>This interface is meant to be used as the type of a parameter to graph algorithms (such as
 * breadth first traversal) that only need a way of accessing the successors of a node in a graph.
 *
 * <h3>Usage</h3>
 *
 * Given an algorithm, for example:
 *
 * {@snippet :

    }

    private void validateParameters() {
        if (min < 0) {
            throw new IllegalArgumentException("The min parameter cannot be negative.");
        }
        if (max < 0) {
            throw new IllegalArgumentException("The max parameter cannot be negative.");
        }
        if (max < min) {
            throw new IllegalArgumentException("The length cannot be negative.");
        }
    }

    //                                  --------------------
    /**
     * Set the value of hostname, used in parameter comment. <br>
     * Even if empty string, treated as empty plainly. So "IF pmb != null" is false if empty.
     * @param hostname The parameter value of hostname. (NotNull)
     */
    public void setHostname(String hostname) {
        registerVariable("hostname", hostname);
    }

# Corpo - Campos

Da mesma forma que você pode declarar validações adicionais e metadados nos parâmetros de *funções de operações de rota* com `Query`, `Path` e `Body`, você pode declarar validações e metadados dentro de modelos do Pydantic usando `Field` do Pydantic.

## Importe `Field`

Primeiro, você tem que importá-lo:

{* ../../docs_src/body_fields/tutorial001.py hl[4] *}

/// warning | Aviso

 */

package com.google.common.xml;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

 *
 * <p>The methods implemented in this class should not be overridden unless the subclass admits a
 * more efficient implementation.
 *
 * @author James Sexton
 * @param <N> Node parameter type
 * @param <V> Value parameter type
 * @since 20.0
 */
@Beta
public abstract class AbstractValueGraph<N, V> extends AbstractBaseGraph<N>
    implements ValueGraph<N, V> {
  /** Constructor for use by subclasses. */