You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

But you don't have to worry about them either, incoming dicts are converted automatically and your output is converted automatically to JSON too.

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

                    final String converted = URLEncoder.encode(target, Constants.UTF_8);
                    if (target.equals(converted)) {
                        encodedBuf.append(Base64.getUrlEncoder().encodeToString(target.getBytes(Constants.CHARSET_UTF_8)));
                    } else {
                        encodedBuf.append(converted);
                    }

principais recursos necessários em sistemas API é "<abbr title="também chamado _ marshalling, conversão">serialização</abbr>" de dados, que é pegar dados do código (Python) e converter eles em alguma coisa que possa ser enviado através da rede. Por exemplo, converter um objeto contendo dados de um banco de dados em um objeto JSON. Converter objetos `datetime` em strings etc.

Outro grande recurso necessário nas APIs é validação de dados, certificando que os dados são válidos, dados certos parâmetros....

    * Query parameters.
    * Cookies.
    * Headers.
    * Form.
    * File.
* <abbr title="detta anche: serialization, parsing, marshalling">Conversione</abbr> dei dati di output: converte dati e tipi di Python a dati per la rete (come JSON):
    * Converte i tipi di Python (`str`, `int`, `float`, `bool`, `list`, ecc).
    * Oggetti `datetime`.
    * Oggetti `UUID`.
    * Modelli del database.
    * ...e molto di più.

 *
 * <ul>
 *   <li>All specified safe characters remain unchanged.
 *   <li>If {@code plusForSpace} was specified, the space character " " is converted into a plus
 *       sign {@code "+"}.
 *   <li>All other characters are converted into one or more bytes using UTF-8 encoding and each
 *       byte is then represented by the 3-character string "%XX", where "XX" is the two-digit,

                "Unknown q: " + query.getClass() + " => " + query);
    }

    /**
     * Converts a Lucene BooleanQuery to an OpenSearch BoolQueryBuilder.
     * @param context The query context.
     * @param booleanQuery The boolean query to convert.
     * @param boost The boost factor to apply.
     * @return The converted BoolQueryBuilder.
     */

   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public void addAll(Iterable<? extends Number> values) {
    for (Number value : values) {
      add(value.doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may

  private static final char CASE_MASK = 0x20;

  /**
   * Returns a copy of the input string in which all {@linkplain #isUpperCase(char) uppercase ASCII
   * characters} have been converted to lowercase. All other characters are copied without
   * modification.
   */
  public static String toLowerCase(String string) {
    int length = string.length();
    for (int i = 0; i < length; i++) {

	}

	tx2.Commit()
	// Attempt to convert the connection pool of tx to the *gorm.PreparedStmtDB type.
	// If the conversion is successful, ok will be true and conn will be the converted object;
	// otherwise, ok will be false and conn will be nil.
	conn, ok := tx.ConnPool.(*gorm.PreparedStmtDB)
	// Get the number of statement keys stored in the PreparedStmtDB.
	lens := len(conn.Stmts.Keys())

    @Keep
    public void checkArray(Converter<String, Integer> c, String s) {
      calledWith(c, s);
    }

    void check() {
      runTester();
      @SuppressWarnings("unchecked") // We are checking it anyway
      Converter<String, Integer> defaultConverter =
          (Converter<String, Integer>) getDefaultParameterValue(0);