"input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"pattern": "^fixedquery$"},
                    "loc": ["query", "item-query"],

                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"pattern": "^fixedquery$"},
                    "loc": ["query", "item-query"],

```Python hl_lines="22"
{!> ../../docs_src/body_multiple_params/tutorial002.py!}
```

////

Neste caso, o **FastAPI** perceberá que existe mais de um parâmetro de corpo na função (dois parâmetros que são modelos Pydantic).

Então, ele usará o nome dos parâmetros como chaves (nome dos campos) no corpo, e espera um corpo como:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",

from typing import Annotated

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: str | None = None

```

## ✔ `username` & 💽 💠

👥 ✔ 👈 👥 🤚 `username`, & ⚗ ↔.

& ⤴️ 👥 ✔ 👈 📊 ⏮️ Pydantic 🏷 (✊ `ValidationError` ⚠), & 🚥 👥 🤚 ❌ 👂 🥙 🤝 ⚖️ ⚖ 📊 ⏮️ Pydantic, 👥 🤚 `HTTPException` 👥 ✍ ⏭.

👈, 👥 ℹ Pydantic 🏷 `TokenData` ⏮️ 🆕 🏠 `scopes`.

⚖ 📊 ⏮️ Pydantic 👥 💪 ⚒ 💭 👈 👥 ✔️, 🖼, ⚫️❔ `list` `str` ⏮️ ↔ & `str` ⏮️ `username`.

↩️, 🖼, `dict`, ⚖️ 🕳 🙆, ⚫️ 💪 💔 🈸 ☝ ⏪, ⚒ ⚫️ 💂‍♂ ⚠.

                                    "title": "Ads Id",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Ads Id", "type": "string"}
                            ),
                            "name": "ads_id",
                            "in": "cookie",
                        }

                                    "title": "Strange Header",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Strange Header", "type": "string"}
                            ),
                            "name": "strange_header",
                            "in": "header",

from typing import Union

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel
from typing_extensions import Annotated

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyQuery
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyQuery(name="key")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyCookie
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyCookie(name="key")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")