Então, mesmo com o código acima que não usa Pydantic explicitamente, o FastAPI está usando Pydantic para converter essas dataclasses padrão para a versão do Pydantic.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

  }

  /**
   * Returns a serializable {@code Converter} that converts strings from this format to {@code
   * targetFormat}.
   *
   * @since 16.0
   */
  public Converter<String, String> converterTo(CaseFormat targetFormat) {
    return new StringConverter(this, targetFormat);
  }

  private static final class StringConverter extends Converter<String, String>
      implements Serializable {

  }

  /**
   * Returns a serializable {@code Converter} that converts strings from this format to {@code
   * targetFormat}.
   *
   * @since 16.0
   */
  public Converter<String, String> converterTo(CaseFormat targetFormat) {
    return new StringConverter(this, targetFormat);
  }

  private static final class StringConverter extends Converter<String, String>
      implements Serializable {

import org.codehaus.plexus.component.configurator.converters.AbstractConfigurationConverter;
import org.codehaus.plexus.component.configurator.converters.basic.AbstractBasicConverter;
import org.codehaus.plexus.component.configurator.converters.composite.ObjectWithFieldsConverter;
import org.codehaus.plexus.component.configurator.converters.lookup.ConverterLookup;

## Converter qualquer dado para JSON


Para converter qualquer dado para um formato compatível com JSON, leia a seção [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

## OpenAPI Metadata - Docs

    private final JavadocConverter javadocConverter;
    private final GenerationListener listener;

    public ClassDocMethodsBuilder(JavadocConverter converter, GenerationListener listener) {
        this.javadocConverter = converter;
        this.listener = listener;
    }

    /**
     * Builds the methods and script blocks of the given class. Assumes properties have already been built.
     */

 */
package org.codelibs.fess.suggest.converter;

import junit.framework.TestCase;

public class KatakanaToAlphabetConverterTest extends TestCase {
    public void test_convert() {
        KatakanaToAlphabetConverter katakanaToAlphabetConverter = new KatakanaToAlphabetConverter();
        assertTrue(katakanaToAlphabetConverter.convert("ケンサク", null).contains("kennsaku"));
    }

import org.apache.lucene.search.TermQuery;
import org.codelibs.core.CoreLibConstants;
import org.codelibs.fess.suggest.converter.AnalyzerConverter;
import org.codelibs.fess.suggest.converter.KatakanaToAlphabetConverter;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.converter.ReadingConverterChain;
import org.codelibs.fess.suggest.entity.SuggestItem;

      return INSTANCE;
    }

    private static final long serialVersionUID = 1;
  }

  /**
   * Returns a serializable converter object that converts between strings and shorts using {@link
   * Short#decode} and {@link Short#toString()}. The returned converter throws {@link
   * NumberFormatException} if the input string is invalid.
   *

      return INSTANCE;
    }

    private static final long serialVersionUID = 1;
  }

  /**
   * Returns a serializable converter object that converts between strings and shorts using {@link
   * Short#decode} and {@link Short#toString()}. The returned converter throws {@link
   * NumberFormatException} if the input string is invalid.
   *