Isso é incrivelmente útil ao desenvolver e depurar código que interage com sua API.
///

## Documentação { #documentation }

E quando você abrir seu navegador em <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>, você verá documentação automática, interativa, da API como:

<img src="/img/tutorial/path-params/image01.png">

/// check | Verifique

updateStrategy: RollingUpdate ## Pod priority settings ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/ ## priorityClassName: "" ## Pod runtime class name ## ref https://kubernetes.io/docs/concepts/containers/runtime-class/ ## runtimeClassName: "" ## Set default rootUser, rootPassword ## rootUser and rootPassword is generated when not set ## Distributed MinIO ref: https://min.io/docs/minio/linux/operations/install-deploy-manage/deploy-minio-multi-node-multi-drive.html...

This capability could help increase Gradle adoption outside of the JVM ecosystem.

Gradle can be invoked in different ways:
* Through the [Gradle Wrapper](https://docs.gradle.org/8.8/userguide/gradle_wrapper.html)
  * It currently requires a JVM and will download the Gradle distribution if it is not already present.
* A Gradle version installed on the system

## Pydantic `Settings` { #pydantic-settings }

Felizmente, o Pydantic fornece uma ótima utilidade para lidar com essas configurações vindas de variáveis de ambiente com <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Instalar `pydantic-settings` { #install-pydantic-settings }

/tensorflow/core/kernels/sparse/ @penpornk
/tensorflow/core/nccl/ @azaks2 @chsigg
/tensorflow/python/autograph/ @mdanatg
/tensorflow/python/debug @caisq
/tensorflow/python/eager @rohan100jain
/tensorflow/tools/docs/ @markdaoust
/tensorflow/compiler/mlir/ @aminim
/tensorflow/core/ir/ @aminim
/tensorflow/core/transforms/ @aminim

.ipynb_checkpoints
.mypy_cache
.vscode
__pycache__
.pytest_cache
htmlcov
dist
site
.coverage*
coverage.xml
.netlify
test.db
log.txt
Pipfile.lock
env3.*
env
docs_build
site_build
venv
docs.zip
archive.zip

# vim temporary files
*~
.*.sw?
.cache

# macOS
.DS_Store

# Ignore while the setup still depends on requirements.txt files
uv.lock

module github.com/minio/minio/docs/debugging/xattr

go 1.21

toolchain go1.24.8

require (
	github.com/olekukonko/tablewriter v0.0.5
	github.com/pkg/xattr v0.4.9
)

require (
	github.com/mattn/go-runewidth v0.0.15 // indirect
	github.com/rivo/uniseg v0.4.4 // indirect
	golang.org/x/sys v0.15.0 // indirect

Notice that the *path operations* define the models they use for request payload and response payload, using the models `Item` and `ResponseMessage`.

### API Docs { #api-docs }

If you go to `/docs`, you will see that it has the **schemas** for the data to be sent in requests and received in responses:

<img src="/img/tutorial/generate-clients/image01.png">

Você verá essa resposta em JSON:

```JSON
{"message": "Hello World"}
```

### Documentação Interativa de APIs { #interactive-api-docs }

Agora vá para <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Verás el response JSON como:

```JSON
{"message": "Hello World"}
```

### Documentación interactiva de la API { #interactive-api-docs }

Ahora ve a <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.