this.method = "GET"
      this.headers = Headers.Builder()
    }

    internal constructor(request: Request) {
      this.url = request.url
      this.method = request.method
      this.body = request.body
      this.tags = request.tags
      this.headers = request.headers.newBuilder()
      this.cacheUrlOverride = request.cacheUrlOverride
    }

    open fun url(url: HttpUrl): Builder =
      apply {

  private fun assertConnectionReused(vararg requests: Request?) {
    for (i in requests.indices) {
      val response = client.newCall(requests[i]!!).execute()
      response.body.string() // Discard the response body.
      assertThat(server.takeRequest().exchangeIndex).isEqualTo(i)
    }
  }

  private fun assertConnectionNotReused(vararg requests: Request?) {
    for (request in requests) {

MinIO server allows to throttle incoming requests:

- limit the number of active requests allowed across the cluster
- limit the wait duration for each request in the queue

These values are enabled using server's configuration or environment variables.

## Examples

### Configuring connection limit

/// tip | Tipp

Der eigentliche Callback ist nur ein HTTP-Request.

Wenn Sie den Callback selbst implementieren, können Sie beispielsweise <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a> oder <a href="https://requests.readthedocs.io/" class="external-link" target="_blank">Requests</a> verwenden.

///

		"Number of DELETE tagging requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetRequestsFailuresMD = NewCounterMD(bucketReplProxiedGetRequestsFailures,
		"Number of failures in GET requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetRequestsTotalMD = NewCounterMD(bucketReplProxiedGetRequestsTotal,
		"Number of GET requests proxied to replication target",

Luego podemos crear un `AsyncClient` con la app y enviar requests asíncronos a ella, usando `await`.

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[9:12] *}

Esto es equivalente a:

```Python
response = client.get('/')
```

...que usábamos para hacer nuestros requests con el `TestClient`.

/// tip | Consejo

Nota que estamos usando async/await con el nuevo `AsyncClient`: el request es asíncrono.

///

You can read more details about the <a href="https://www.starlette.dev/requests/" class="external-link" target="_blank">`Request` object in the official Starlette documentation site</a>.

/// note | Technical Details

You could also use `from starlette.requests import Request`.

**FastAPI** provides it directly just as a convenience for you, the developer. But it comes directly from Starlette.

                  "mode": "fixed"
                }
              }
            ]
          },
          {
            "matcher": {
              "id": "byName",
              "options": "S3 Requests"
            },
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-green",
                  "mode": "fixed"

Die gleichen Modelle werden von den Requests gemeinsam genutzt, es handelt sich also nicht um ein Modell pro Request, pro Benutzer, oder ähnliches.

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.

	pluginAuthnServiceTotalRequestsMinuteMD  = NewCounterMD(pluginAuthnServiceTotalRequestsMinute, "When plugin authentication is configured, returns total requests count in the last full minute")
	sinceLastSyncMillisMD                    = NewCounterMD(sinceLastSyncMillis, "Time (in milliseconds) since last successful IAM data sync.")