You will learn more about adding extra information later in the docs, when learning to declare examples.

!!! warning
    Extra keys passed to `Field` will also be present in the resulting OpenAPI schema for your application.

app = FastAPI()

app.add_middleware(UnicornMiddleware, some_config="rainbow")
```

`app.add_middleware()` receives a middleware class as the first argument and any additional arguments to be passed to the middleware.

## Integrated middlewares

**FastAPI** includes several middlewares for common use cases, we'll see next how to use them.

!!! note "Technical Details"

name: "Generate FastAPI People"
description: "Generate the data for the FastAPI People page"
author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'User token, to read the GitHub API. Can be passed in using {{ secrets.FASTAPI_PEOPLE }}'
    required: true
runs:
  using: 'docker'

```

Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

* To pass a *path* or *query* parameter, add it to the URL itself.
* To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`.

You can declare path "parameters" or "variables" with the same syntax used by Python format strings:

```Python hl_lines="6-7"
{!../../../docs_src/path_params/tutorial001.py!}
```

The value of the path parameter `item_id` will be passed to your function as the argument `item_id`.

So, if you run this example and go to <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>, you will see a response of:

name: Comment Docs Preview in PR
description: Comment with the docs URL preview in the PR
author: Sebastián Ramírez <******@****.***>
inputs:
  token:
    description: Token for the repo. Can be passed in using {{ secrets.GITHUB_TOKEN }}
    required: true
  deploy_url:
    description: The deployment URL to comment in the PR
    required: true
runs:
  using: docker

It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.

So, if the `dict` contains:

```Python
{
    "username": "johndoe",
    "hashed_password": "some_hash",
}
```

It will be passed to `UserInDB` as:

```Python
UserInDB(username="johndoe", hashed_password="some_hash")
```

## Create your **FastAPI** code

        Doc(
            """
            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        Optional[IncEx],
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),

                the generated OpenAPI. Have in mind that this is a hack. But if you
                avoid using features added in OpenAPI 3.1.0, it might work for your
                use case.

                This is not passed as a parameter to the `FastAPI` class to avoid
                giving the false idea that FastAPI would generate a different OpenAPI
                schema. It is only available as an attribute.

                **Example**

            # e.g. UserInDB (containing hashed_password) could be a subclass of User
            # that doesn't have the hashed_password. But because it's a subclass, it
            # would pass the validation and be returned as is.
            # By being a new field, no inheritance will be passed as is. A new model
            # will always be created.