Importa `BaseSettings` de Pydantic y crea una sub-clase, muy similar a un modelo de Pydantic.

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.

Puedes usar todas las mismas funcionalidades de validación y herramientas que usas para los modelos de Pydantic, como diferentes tipos de datos y validaciones adicionales con `Field()`.

Você pode ver esses schemas porque eles foram declarados com os modelos no app.

Essas informações estão disponíveis no **schema OpenAPI** do app e são mostradas na documentação da API.

E essas mesmas informações dos modelos que estão incluídas no OpenAPI são o que pode ser usado para **gerar o código do cliente**.

### Hey API { #hey-api }

"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<model xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.path;

/**
 * Normalizes a URL to remove the ugly parent references "../" that got potentially inserted by URL adjustment during
 * model inheritance.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

    errors: list[Error]


@app.get(
    "/a",
    response_class=Response,
    responses={500: {"description": "Error", "model": JsonApiError}},
)
async def a():
    pass  # pragma: no cover


@app.get("/b", responses={500: {"description": "Error", "model": Error}})
async def b():
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():

            <option value="$PROJECT_DIR$/platforms/core-configuration/kotlin-dsl-tooling-models" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/model-core" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/model-groovy" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/model-reflect" />

Supongamos que solo tienes un único parámetro de cuerpo `item` de un modelo Pydantic `Item`.

Por defecto, **FastAPI** esperará su cuerpo directamente.

Pero si deseas que espere un JSON con una clave `item` y dentro de ella los contenidos del modelo, como lo hace cuando declaras parámetros de cuerpo extra, puedes usar el parámetro especial `Body` `embed`:

```Python

	if err := DB.Create(&data).Error; err != nil {
		t.Errorf("Should got no error when creating data, but got %v", err)
	}

	if err := DB.Model(&data).Update("password", EncryptedData("xnewpass")).Error; err == nil {
		t.Errorf("Should failed to update data with invalid data")
	}

	if err := DB.Model(&data).Update("password", EncryptedData("newpass")).Error; err != nil {
		t.Errorf("Should got no error update data with valid data, but got %v", err)

    /**
     * Creates a new model source backed by the specified URL.
     *
     * @param settingsUrl The settings URL, must not be {@code null}.
     */
    public UrlSettingsSource(URL settingsUrl) {
        super(settingsUrl);
    }

    /**
     * Gets the settings URL of this model source.
     *
     * @return The underlying settings URL, never {@code null}.

    class ResponseModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.get("/response-model", response_model=ResponseModelV1)
        def endpoint():  # pragma: no cover
            return {"name": "test"}


def test_raises_pydantic_v1_model_in_additional_responses_model() -> None: