@Experimental
public interface DependencyCoordinatesFactory extends Service {

    /**
     * Creates a new {@link DependencyCoordinates} object from the request.
     *
     * @param request the request containing the various data
     * @return a new {@link DependencyCoordinates} object
     *
     * @throws IllegalArgumentException if {@code request} is null or
     *         if {@code request.getSession()} is null or invalid
     */
    @Nonnull

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs;

/**
 * Interface for opaque credential data
 *
 * @author mbechler
 *
 */
public interface Credentials {

    /**
     * Unwrap credentials to a specific type.
     *
     * @param <T> the credential type to unwrap to

/// warning | Atenção

Você pode declarar vários parâmetros `File` e `Form` em uma *operação de rota*, mas não é possível declarar campos `Body` para receber como JSON, pois a requisição terá o corpo codificado usando `multipart/form-data` ao invés de `application/json`.

Isso não é uma limitação do **FastAPI**, é parte do protocolo HTTP.

///

## Recapitulando { #recap }

    return {"message": result}
```

## SQLModel for SQL databases

When working with SQL databases, prefer using SQLModel as it is integrated with Pydantic and will allow declaring data validation with the same models.

Prefer it over SQLAlchemy.

## HTTPX

Use HTTPX for handling HTTP communication (e.g. with other APIs). It support sync and async usage.

 * Entity class representing a request parameter with a name and associated values.
 * This class encapsulates HTTP request parameters that can have multiple values,
 * such as query parameters, form parameters, or other request-related data.
 *
 * <p>This class is immutable and thread-safe. Once created, the parameter name
 * and values cannot be modified.</p>
 *
 */
public class RequestParameter {

    /** The name of the request parameter. */

import java.util.ArrayList;
import java.util.List;

import jcifs.Decodable;
import jcifs.internal.smb2.multichannel.NetworkInterfaceInfo;
import jcifs.internal.util.SMBUtil;

/**
 * Response data for FSCTL_QUERY_NETWORK_INTERFACE_INFO
 */
public class QueryNetworkInterfaceInfoResponse implements Decodable {

    private List<NetworkInterfaceInfo> interfaces;

    /**

 */
package jcifs.internal.smb2.ioctl;

import jcifs.Decodable;
import jcifs.internal.SMBProtocolDecodingException;
import jcifs.internal.util.SMBUtil;

/**
 * SMB2 SRV_COPYCHUNK_COPY response data structure. This structure contains the result
 * of a server-side copy operation.
 *
 * @author mbechler
 *
 */
public class SrvCopyChunkCopyResponse implements Decodable {

    /**

{* ../../docs_src/request_form_models/tutorial001_an_py310.py hl[9:11,15] *}

**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 { #check-the-docs }

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

<div class="screenshot">

            "Cluster Coordination",
            "Discovery-Plugins",
            "Distributed",
            "EQL",
            "Engine",
            "FIPS",
            "Features/CAT APIs",
            "Features/Data streams",
            "Features/Features",
            "Features/ILM+SLM",
            "Features/Indices APIs",
            "Features/Ingest",
            "Features/Java High Level REST Client",

            ClassMetaData classMetaData = classMetaData.find(className)
            if (!classMetaData) {
                if (!className.contains('.internal.')) {
                    throw new RuntimeException("No meta-data found for class '$className'.")
                }
                classMetaData = new ClassMetaData(className)
            }
            try {