E você pode fazer isso até mesmo quando os dados da requisição não seguem o formato JSON.

    with client:
        response = client.get("/prefix")
        assert response.status_code == 200, response.text
        assert response.json() == ["OK"]

        response = client.get("/prefix/")
        assert response.status_code == 200, response.text
        assert response.json() == ["OK"]


def test_include_empty():
    # if both include and router.path are empty - it should raise exception

    /**
     * Retrieves web configuration settings with pagination.
     *
     * @param body the search parameters for filtering and pagination
     * @return JSON response containing web configuration settings list
     */
    // GET /api/admin/webconfig/settings
    // PUT /api/admin/webconfig/settings
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {

    /**
     * Retrieves data config settings with pagination support.
     *
     * @param body the search body containing pagination and filter parameters
     * @return JSON response containing list of data config settings
     */
    // GET /api/admin/dataconfig/settings
    // PUT /api/admin/dataconfig/settings
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {

const (
	// Means no response type.
	mimeNone mimeType = ""
	// Means response type is JSON.
	mimeJSON mimeType = "application/json"
	// Means response type is XML.
	mimeXML mimeType = "application/xml"
)

// writeSuccessResponseJSON writes success headers and response if any,
// with content-type set to `application/json`.
func writeSuccessResponseJSON(w http.ResponseWriter, response []byte) {

def test_get():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {

because by default, FastAPI will inspect every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.

But if you are certain that the content that you are returning is **serializable with JSON**, you can pass it directly to the response class and avoid the extra overhead that FastAPI would...

standardmäßig jedes enthaltene Element überprüft und sicherstellt, dass es als JSON serialisierbar ist, und zwar unter Verwendung desselben [JSON-kompatiblen Encoders](../tutorial/encoder.md){.internal-link target=_blank}, der im Tutorial erläutert wurde. Dadurch können Sie **beliebige Objekte** zurückgeben, zum Beispiel Datenbankmodelle.

Wenn Sie jedoch sicher sind, dass der von Ihnen zurückgegebene Inhalt **mit JSON serialisierbar** ist, können Sie ihn direkt an die Response-Klasse übergeben...

def test_get_route():
    response = client.get("/")
    assert response.status_code == 200, response.text
    assert response.json() == {}


def test_openapi():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/": {

## Atributos como listas de submodelos { #attributes-with-lists-of-submodels }

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

Isso vai esperar(converter, validar, documentar, etc) um corpo JSON tal qual:

```JSON hl_lines="11"
{
    "name": "Foo",