O pacote <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a> é instalado automaticamente com o **FastAPI** quando você executa o comando `pip install "fastapi[standard]"`.

Entretanto, se você usar o comando `pip install fastapi`, o pacote `python-multipart` não é incluído por padrão.

El paquete <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a> se instala automáticamente con **FastAPI** cuando ejecutas el comando `pip install "fastapi[standard]"`.

Sin embargo, si usas el comando `pip install fastapi`, el paquete `python-multipart` no se incluye por defecto.

Например, вы можете попробовать:

* <a href="https://speakeasy.com/editor?utm_source=fastapi+repo&utm_medium=github+sponsorship" class="external-link" target="_blank">Speakeasy</a>
* <a href="https://www.stainless.com/?utm_source=fastapi&utm_medium=referral" class="external-link" target="_blank">Stainless</a>
* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

### Фильтрация данных FastAPI { #fastapi-data-filtering }

Теперь, для FastAPI: он увидит возвращаемый тип и убедится, что то, что вы возвращаете, включает **только** поля, объявленные в этом типе.

from fastapi import Body, FastAPI
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: int,
    item: Item = Body(
        openapi_examples={
            "normal": {
                "summary": "A normal example",

from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException
from fastapi.responses import StreamingResponse
from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():

    Optional,
    Union,
)
from weakref import WeakKeyDictionary

import fastapi
from fastapi._compat import (
    BaseConfig,
    ModelField,
    PydanticSchemaGenerationError,
    Undefined,
    UndefinedType,
    Validator,
    annotation_is_pydantic_v1,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from fastapi.exceptions import FastAPIDeprecationWarning, PydanticV1NotSupportedError

## Den `fastapi run` Befehl verwenden { #use-the-fastapi-run-command }

Kurz gesagt, nutzen Sie `fastapi run`, um Ihre FastAPI-Anwendung bereitzustellen:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:solid">main.py</u>

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

그리고 OpenAPI의 모든 것을 기반으로 하는 수십 가지 대안이 있습니다. **FastAPI**로 빌드한 애플리케이션에 이러한 대안을 쉽게 추가 할 수 있습니다.

API와 통신하는 클라이언트(프론트엔드, 모바일, IoT 애플리케이션 등)를 위해 코드를 자동으로 생성하는 데도 사용할 수 있습니다.

## 단계별 요약

### 1 단계: `FastAPI` 임포트

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI`는 당신의 API를 위한 모든 기능을 제공하는 파이썬 클래스입니다.

/// note | 기술 세부사항

`FastAPI`는 `Starlette`를 직접 상속하는 클래스입니다.