```Python hl_lines="9"
{!../../../docs_src/query_params/tutorial001.py!}
```

Query-Parameter (Deutsch: Abfrage-Parameter) sind die Schlüssel-Wert-Paare, die nach dem `?` in einer URL aufgelistet sind, getrennt durch `&`-Zeichen.

Zum Beispiel sind in der URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

... die Query-Parameter:

  map<string, string> auditAnnotations = 6;

  // warnings is a list of warning messages to return to the requesting API client.
  // Warning messages describe a problem the client making the API request should correct or be aware of.
  // Limit warnings to 120 characters if possible.
  // Warnings over 256 characters and large numbers of warnings may be truncated.
  // +optional
  repeated string warnings = 7;
}

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

  // Token is the opaque bearer token.
  // +optional
  optional string token = 1;

  // Audiences is a list of the identifiers that the resource server presented
  // with the token identifies as. Audience-aware token authenticators will
  // verify that the token was intended for at least one of the audiences in
  // this list. If no audiences are provided, the audience will default to the
  // audience of the Kubernetes apiserver.

```

!!! note "Hinweis"
    Vor FastAPI 0.108.0 und Starlette 0.29.0 war `name` der erste Parameter.

    Außerdem wurde in früheren Versionen das `request`-Objekt als Teil der Schlüssel-Wert-Paare im Kontext für Jinja2 übergeben.

!!! tip "Tipp"
    Durch die Deklaration von `response_class=HTMLResponse` kann die Dokumentationsoberfläche erkennen, dass die Response HTML sein wird.

!!! note "Technische Details"

        }

        // The IR backend will try to regenerate object literals defined in inline functions from generated class files during inlining.
        // Hence, we need to be aware of which object declarations are defined in the relevant inline functions.
        val inlineObjectDeclarations = inlineAnalyzer.inlineObjectDeclarations()

# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" ⏸ the execution of that function and go do something else 🔀 before coming back.

When you want to call an `async def` function, you have to "await" it. So, this won't work:

    But context variables are aware of these async features, so, a Peewee database state set in the `async` dependency `reset_db_state()` will keep its own data throughout the entire request.

  map<string, string> auditAnnotations = 6;

  // warnings is a list of warning messages to return to the requesting API client.
  // Warning messages describe a problem the client making the API request should correct or be aware of.
  // Limit warnings to 120 characters if possible.
  // Warnings over 256 characters and large numbers of warnings may be truncated.
  // +optional
  repeated string warnings = 7;
}

happening (e.g., rate limits, ACLs, monitors to restart broken servers).

### Model sharing

If the multitenant design allows sharing models, make sure that tenants and
users are aware of the security risks detailed here and that they are going to
be practically running code provided by other users. Currently there are no good
ways to detect malicious models/graphs/checkpoints, so the recommended way to