{!../../../docs_src/custom_docs_ui/tutorial002.py!}
```

### Include the custom docs for static files

And the same way as with a custom CDN, now you can create the *path operations* for the custom docs.

Again, you can re-use FastAPI's internal functions to create the HTML pages for the docs, and pass them the needed arguments:

                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                }
            }
        },
    }
    openapi_schema = response.json()
    # Request again to test the custom cache
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

router_a_a = APIRouter()
router_a_b_override = APIRouter()  # Overrides default class
router_b_override = APIRouter()  # Overrides default class
router_b_a = APIRouter()
router_b_a_c_override = APIRouter()  # Overrides default class again


@app.get("/")
def get_root():
    return {"msg": "Hello World"}


@app.get("/override", response_class=PlainTextResponse)
def get_path_override():
    return "Hello World"


@router_a.get("/")

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

=== "Python 3.10+"

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

=== "Pydantic v2"

    ```Python hl_lines="26-33"
    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
    ```