Bu response `dict`'lerinin her birinde, `response_model`'e benzer şekilde bir Pydantic model içeren `model` anahtarı olabilir.

**FastAPI** bu modeli alır, JSON Schema'sını üretir ve OpenAPI'de doğru yere ekler.

Örneğin, `404` status code'u ve `Message` Pydantic model'i ile başka bir response tanımlamak için şunu yazabilirsiniz:

{* ../../docs_src/additional_responses/tutorial001_py310.py hl[18,22] *}

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

            return name

    async def get_model_c() -> ModelC:
        return ModelC(username="test-user", password="test-password")

    @app.get("/model/{name}", response_model=ModelA)
    async def get_model_a(name: str, model_c=Depends(get_model_c)):
        return {
            "name": name,
            "description": "model-a-desc",
            "foo": model_c,
            "tags": {"key1": "value1", "key2": "value2"},
        }

/**
 * A test which demonstrates maven's recursive inheritance where
 * a distinct value is taken from each parent contributing to
 * the final model of the project being assembled. There is no
 * overriding going on amongst the models being used in this test:
 * each model in the lineage is providing a value that is not present
 * anywhere else in the lineage. We are just making sure that values

/// warning | Atenção

Quando você retorna um `Response` diretamente, como no exemplo acima, ele será retornado diretamente.

Ele não será serializado com um modelo, etc.

Garanta que ele tenha toda informação que você deseja, e que os valores sejam um JSON válido (caso você esteja usando `JSONResponse`).

///

/// note | Detalhes Técnicos

) -> ModelField:
    if annotation_is_pydantic_v1(type_):
        raise PydanticV1NotSupportedError(
            "pydantic.v1 models are no longer supported by FastAPI."
            f" Please update the response model {type_!r}."
        )
    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    try:

  },
  {
    "name": "kotlin-dsl-tooling-model-impls",
    "path": "platforms/core-configuration/kotlin-dsl-tooling-model-impls",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "kotlin-dsl-tooling-models",
    "path": "platforms/core-configuration/kotlin-dsl-tooling-models",
    "unitTests": false,
    "functionalTests": false,

import org.apache.maven.model.Activation;
import org.apache.maven.model.Build;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.DependencyManagement;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.InputLocationTracker;
import org.apache.maven.model.InputSource;
import org.apache.maven.model.Model;
import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;

/**
 * A test which demonstrates maven's recursive inheritance where
 * a distinct value is taken from each parent contributing to
 * the final model of the project being assembled. There is no
 * overriding going on amongst the models being used in this test:
 * each model in the lineage is providing a value that is not present
 * anywhere else in the lineage. We are just making sure that values

{* ../../docs_src/response_headers/tutorial002_py310.py hl[1, 7:8] *}

Y luego puedes devolver cualquier objeto que necesites, como harías normalmente (un `dict`, un modelo de base de datos, etc).

Y si declaraste un `response_model`, aún se usará para filtrar y convertir el objeto que devolviste.