Now you can import and use the client code. It could look like this, notice that you get autocompletion for the methods:

<img src="/img/tutorial/generate-clients/image02.png">

You will also get autocompletion for the payload to send:

<img src="/img/tutorial/generate-clients/image03.png">

/// tip

Notice the autocompletion for `name` and `price`, that was defined in the FastAPI application, in the `Item` model.

///

The whole **FastAPI** framework is based to satisfy that. Autocompletion works everywhere.

You will rarely need to come back to the docs.

Here's how your editor might help you:

It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.

Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI { #install-fastapi }

The first step is to install FastAPI.

Then I contributed to it, to make it fully compliant with JSON Schema, to support different ways to define constraint declarations, and to improve editor support (type checks, autocompletion) based on the tests in several editors.

During the development, I also contributed to <a href="https://www.starlette.io/" class="external-link" target="_blank">**Starlette**</a>, the other key requirement.

///

## Ringkasan

Di **FastAPI** dengan menggunakan deklarasi tipe Python standar, pendek, intuitif, anda mendapatkan:

* Dukungan editor: pemeriksaan kesalahan, autocompletion, dll.
* "<abbr title="konversi string dari request HTTP menjadi data Python">Parsing</abbr>" data.
* Validasi data.
* Annotasi API dan dokumentasi otomatis.

Semua itu anda hanya perlu mendeklarasikan sekali saja.

* performance: rendimiento
* program (verb): programar
* code (verb): programar
* type hints: anotaciones de tipos
* type annotations: anotaciones de tipos
* autocomplete: autocompletado
* completion (in the context of autocompletion): autocompletado
* feature: funcionalidad
* sponsor: sponsor
* host (in a podcast): host
* request (as in HTTP request): request
* response (as in HTTP response): response

///

The dependencies will keep working as expected, and the **best part** is that the **type information will be preserved**, which means that your editor will be able to keep providing you with **autocompletion**, **inline errors**, etc. The same for other tools like `mypy`.

This will be especially useful when you use it in a **large code base** where you use **the same dependencies** over and over again in **many *path operations***.

///

## Recap { #recap }

With **FastAPI**, by using short, intuitive and standard Python type declarations, you get:

* Editor support: error checks, autocompletion, etc.
* Data "<abbr title="converting the string that comes from an HTTP request into Python data">parsing</abbr>"
* Data validation
* API annotation and automatic documentation

* **Менше помилок**: Зменшить кількість помилок спричинених людиною (розробником) на 40%. *
* **Інтуїтивний**: Чудова підтримка редакторами коду. <abbr title="Також відоме як auto-complete, autocompletion, IntelliSense.">Доповнення</abbr> всюди. Зменште час на налагодження.
* **Простий**: Спроектований, для легкого використання та навчання. Знадобиться менше часу на читання документації.

///

////

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///