response = client.get("/models/alexnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}


def test_get_enums_lenet():
    response = client.get("/models/lenet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "lenet", "message": "LeCNN all the images"}


def test_get_enums_resnet():

        if model not in model_name_map or "$ref" not in schema:
            continue
        new_name = model_name_map[model]
        old_name = schema["$ref"].split("/")[-1]
        if old_name in {f"{new_name}-Input", f"{new_name}-Output"}:
            continue
        old_name_to_new_name_map[old_name] = new_name

    new_field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ] = {}

        return None
    first_param = flat_dependant.body_params[0]
    if not embed_body_fields:
        return first_param
    model_name = "Body_" + name
    BodyModel = create_body_model(
        fields=flat_dependant.body_params, model_name=model_name
    )
    required = any(True for f in flat_dependant.body_params if f.required)
    BodyFieldInfo_kwargs: dict[str, Any] = {
        "annotation": BodyModel,