- Check that `account` client_id has the role 'admin' assigned in the "Service Account Roles" tab.

After that, you will be able to obtain an id_token for the Admin REST API using client_id and client_secret:

```
curl \
  -d "client_id=<YOUR_CLIENT_ID>" \

//// tab | Python 3.8+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.8+ nicht annotiert

/// tip | Tipp

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

//// tab | Pydantic v2

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

////

//// tab | Pydantic v1

{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}

////

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

//// tab | Pydantic v2

    assertEquals("test &lt;&lt; 1", xmlEscaper.escape("test << 1"));
    assertEquals("test &gt;&gt; 1", xmlEscaper.escape("test >> 1"));
    assertEquals("&lt;tab&gt;", xmlEscaper.escape("<tab>"));

    // Test all non-escaped ASCII characters.
    String s =
        "!@#$%^*()_+=-/?\\|]}[{,.;:"
            + "abcdefghijklmnopqrstuvwxyz"
            + "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

//// tab | Python 3.6+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.6+ без Annotated

/// tip | Подсказка

///

## Múltiples Workers

Puedes iniciar múltiples workers con la opción de línea de comando `--workers`:

//// tab | `fastapi`

Si usas el comando `fastapi`:

<div class="termy">

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

생성된 JSON 스키마에 추가될 Pydantic 모델을 위한 `examples`을 선언할 수 있습니다.

//// tab | Pydantic v2

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

////

//// tab | Pydantic v1

{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}

////

추가 정보는 있는 그대로 해당 모델의 **JSON 스키마** 결과에 추가되고, API 문서에서 사용합니다.

//// tab | Pydantic v2

//// tab | Python 3.8+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip | Dica

Utilize a versão com `Annotated` se possível.

///

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info

In Pydantic v1 you would import `BaseSettings` directly from `pydantic` instead of from `pydantic_settings`.

///

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Información

En Pydantic v1 importarías `BaseSettings` directamente desde `pydantic` en lugar de desde `pydantic_settings`.

///