If you found a clear typo, please open a PR with a fix instead of opening an issue.

  - type: dropdown
    id: issue-type
    attributes:
      label: Issue type
      options:
        - Wrong or misleading information
        - Missing information
        - Styling or Accessibility
        - Typo (please open a PR instead)
    validations:
      required: true

    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <dfn title="also known as: serialization, parsing, marshalling">Conversion</dfn> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).

  @Param Result result;
  @Param ExceptionType exceptionType;

  /**
   * The number of other exception types in the cache of known-good exceptions and the number of
   * other {@code ClassValue} entries for the exception type to be tested. This lets us evaluate
   * whether our solution scales to use with multiple exception types and to whether it is affected

        }
    }

    private static int invokeProtectedInt(Object target, String name, Object... params) {
        try {
            var cls = target.getClass();
            // Build proper parameter types array, handling primitive types
            Class<?>[] paramTypes = new Class<?>[params.length];
            for (int i = 0; i < params.length; i++) {
                if (params[i] instanceof byte[]) {

Por ejemplo, no puedes poner un modelo de Pydantic en un `JSONResponse` sin primero convertirlo a un `dict` con todos los tipos de datos (como `datetime`, `UUID`, etc.) convertidos a tipos compatibles con JSON.

Para esos casos, puedes usar el `jsonable_encoder` para convertir tus datos antes de pasarlos a un response:

    private Scope scope = Scope.PUBLIC;

    /** Specify the visibility scope where Javadoc comments are not checked. */
    private Scope excludeScope;

    /** Specify pattern for types to ignore. */
    private Pattern ignorePattern = Pattern.compile("^$");

    /**
     * Specify the list of annotations that allow missed documentation.
     * Only short names are allowed, e.g. {@code Generated}.
     */

     */
    private static final ObjectInputFilter DEFAULT_FILTER = filterInfo -> {
        final Class<?> serialClass = filterInfo.serialClass();
        if (serialClass == null) {
            return ObjectInputFilter.Status.UNDECIDED;
        }

        final String className = serialClass.getName();

        // Allow primitive types and their wrappers

    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <dfn title="also known as: serialization, parsing, marshalling">Conversion</dfn> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).

     *
     * @param paramTypes
     *            array of parameter types
     * @param args
     *            array of arguments
     * @param adjustNumber
     *            if {@literal true}, converts arguments to match number types if necessary
     * @return {@literal true} if the arguments are suitable for the parameter types
     */

def is_union_of_base_models(field_type: Any) -> bool:
    """Check if field type is a Union where all members are BaseModel subclasses."""
    from fastapi.types import UnionType

    origin = get_origin(field_type)

    # Check if it's a Union type (covers both typing.Union and types.UnionType in Python 3.10+)
    if origin is not Union and origin is not UnionType:
        return False

    union_args = get_args(field_type)