* for **output** it will be **required** (and possibly `None`, or in JSON terms, `null`)

### Model for Output in Docs

You can check the output model in the docs too, **both** `name` and `description` are marked as **required** with a **red asterisk**:

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image03.png">
</div>

### Model for Input and Output in Docs

This way, if any part of Starlette's internal code, or a Starlette extension or plug-in, raises a Starlette `HTTPException`, your handler will be able to catch and handle it.

In this example, to be able to have both `HTTPException`s in the same code, Starlette's exceptions is renamed to `StarletteHTTPException`:

```Python
from starlette.exceptions import HTTPException as StarletteHTTPException
```

# `HTTPConnection` class

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

You can import it from `fastapi.requests`:

```python
from fastapi.requests import HTTPConnection
```

        response = client.get("/prefix/")
        assert response.status_code == 200, response.text
        assert response.json() == ["OK"]


def test_include_empty():
    # if both include and router.path are empty - it should raise exception
    with pytest.raises(FastAPIError):

You will see the JSON response as:

```JSON
{"item_id": 5, "q": "somequery"}
```

You already created an API that:

* Receives HTTP requests in the _paths_ `/` and `/items/{item_id}`.
* Both _paths_ take `GET` operations (also known as HTTP _methods_).
* The _path_ `/items/{item_id}` has a _path parameter_ `item_id` that should be an `int`.

)


def check_file_field(field: ModelField) -> None:
    field_info = field.field_info
    if isinstance(field_info, params.Form):
        try:
            # __version__ is available in both multiparts, and can be mocked
            from multipart import __version__  # type: ignore

            assert __version__
            try:
                # parse_options_header is only available in the right multipart

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create initial Pydantic *models* / schemas

Create an `ItemBase` and `UserBase` Pydantic *models* (or let's say "schemas") to have common attributes while creating or reading data.

## Install Gunicorn and Uvicorn

<div class="termy">

```console
$ pip install "uvicorn[standard]" gunicorn

---> 100%
```

</div>

That will install both Uvicorn with the `standard` extra packages (to get high performance) and Gunicorn.

## Run Gunicorn with Uvicorn Workers

Then you can run Gunicorn with:

<div class="termy">

```console

                name = getattr(r, "name", "unknown")
                if path is not None and not path:
                    raise FastAPIError(
                        f"Prefix and path cannot be both empty (path operation: {name})"
                    )
        if responses is None:
            responses = {}
        for route in router.routes:
            if isinstance(route, APIRoute):