Você também pode combinar `dataclasses` com outras anotações de tipo para criar estruturas de dados aninhadas.

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

    """
    An HTTP exception you can raise in your own code to show errors to the client.

    This is for client errors, invalid authentication, invalid data, etc. Not for server
    errors in your code.

    Read more about it in the
    [FastAPI docs for Handling Errors](https://fastapi.tiangolo.com/tutorial/handling-errors/).

    ## Example

    ```python
    from fastapi import FastAPI, HTTPException

def get_missing_field_error(loc: tuple[str, ...]) -> dict[str, Any]:
    error = ValidationError.from_exception_data(
        "Field required", [{"type": "missing", "loc": loc, "input": {}}]
    ).errors(include_url=False)[0]
    error["input"] = None
    return error  # type: ignore[return-value]


def create_body_model(
    *, fields: Sequence[ModelField], model_name: str

            git push
          fi
      - uses: pre-commit-ci/lite-action@v1.1.0
        if: env.HAS_SECRETS == 'false'
        with:
          msg: 🎨 Auto format
      - name: Error out on pre-commit errors
        if: steps.precommit.outcome == 'failure'
        run: exit 1

  # https://github.com/marketplace/actions/alls-green#why

                    valid, that would mean a violation of the contract with the client,
                    so it's an error from the API developer. So, FastAPI will raise an
                    error and return a 500 error code (Internal Server Error).

                Read more about it in the
                [FastAPI docs for Response Model](https://fastapi.tiangolo.com/tutorial/response-model/).

    with pytest.raises(ResponseValidationError) as err:
        client.get("/model/modelX")
    assert err.value.errors() == [
        {
            "type": "value_error",
            "loc": ("response", "name"),
            "msg": "Value error, name must end in A",
            "input": "modelX",
            "ctx": {"error": HasRepr("ValueError('name must end in A')")},
        }
    ]


def test_openapi_schema(client: TestClient):

            async_exit_stack=async_exit_stack,
            embed_body_fields=embed_body_fields,
        )
        background_tasks = solved_result.background_tasks
        if solved_result.errors:
            errors.extend(solved_result.errors)
            continue
        if sub_dependant.use_cache and sub_dependant.cache_key in dependency_cache:
            solved = dependency_cache[sub_dependant.cache_key]
        elif (

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {