final SuggestItem item = new SuggestItem();
        item.setText(text);
        item.setReadings(readings.toArray(new String[readings.size()][]));
        item.setFields(fields.toArray(new String[fields.size()]));
        item.setDocFreq(docFreq);
        item.setQueryFreq(queryFreq);
        item.setUserBoost(userBoost);
        item.setTags(tags.toArray(new String[tags.size()]));

        raise HTTPException(status_code=404, detail="Item not found")
    return fake_db[item_id]


@app.post("/items/")
async def create_item(item: Item, x_token: Annotated[str, Header()]) -> Item:
    if x_token != fake_secret_token:
        raise HTTPException(status_code=400, detail="Invalid X-Token header")
    if item.id in fake_db:
        raise HTTPException(status_code=409, detail="Item already exists")

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str | None = None,
    item: Item | None = None,
):
    results = {"item_id": item_id}
    if q:

    size: Annotated[int | None, Body()] = None,
):
    if item_id in items:
        item = items[item_id]
        item["name"] = name
        item["size"] = size
        return item
    else:
        item = {"name": name, "size": size}
        items[item_id] = item

        "tax": 10.5,
    },
}


@app.get(
    "/items/{item_id}/name",
    response_model=Item,
    response_model_include={"name", "description"},
)
async def read_item_name(item_id: str):
    return items[item_id]


@app.get("/items/{item_id}/public", response_model=Item, response_model_exclude={"tax"})
async def read_item_public_data(item_id: str):

        source.put(FieldNames.TIMESTAMP, System.currentTimeMillis());

        SuggestItem item = SuggestItem.parseSource(source);

        assertNotNull(item);
        assertEquals("test", item.getText());
        assertEquals(100L, item.getQueryFreq());
        assertEquals(50L, item.getDocFreq());
        assertEquals(2.0f, item.getUserBoost(), 0.001f);
    }

    @Test

    return id


@app.get("/items/")
async def read_items(
    id: Annotated[str | None, AfterValidator(check_valid_id)] = None,
):
    if id:
        item = data.get(id)
    else:
        id, item = random.choice(list(data.items()))

			for _, item := range status.Items {
				if err = enc.Encode(&item); err != nil {
					log.Fatalln(err)
				}
			}
			break
		}
		if status.Summary == "stopped" {
			fmt.Println("Healstatus on items ===")
			fmt.Println("Heal failed with", status.FailureDetail)
			break
		}

		for _, item := range status.Items {
			if err = enc.Encode(&item); err != nil {
				log.Fatalln(err)
			}

@app.get("/items/{item_id}")
def get_item(item_id: str, username: str = Depends(get_username)):
    if item_id not in data:
        raise HTTPException(status_code=404, detail="Item not found")
    item = data[item_id]
    if item["owner"] != username:
        raise OwnerError(username)

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python
item: Item = Body(embed=True)
```

as in: