Para conseguir isso, você pode usar a opção de linha de comando `--root-path` assim:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Se você usar Hypercorn, ele também tem a opção `--root-path`.

/// note | "Detalhes Técnicos"

}

var (
	// Global user opts context
	globalServerCtxt serverCtxt

	// Indicates if the running minio server is distributed setup.
	globalIsDistErasure = false

	// Indicates if the running minio server is an erasure-code backend.
	globalIsErasure = false

	// Indicates if the running minio server is in single drive XL mode.
	globalIsErasureSD = false

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

////

//// tab | Hypercorn

<div class="termy">

```console
$ hypercorn main:app --bind 0.0.0.0:80

Running on 0.0.0.0:8080 over http (CTRL + C to quit)
```

</div>

////

/// warning

   */
  public boolean isRunning() {
    return isRunning;
  }

  /**
   * Starts the stopwatch.
   *
   * @return this {@code Stopwatch} instance
   * @throws IllegalStateException if the stopwatch is already running.
   */
  @CanIgnoreReturnValue
  public Stopwatch start() {
    checkState(!isRunning, "This stopwatch is already running.");
    isRunning = true;
    startTick = ticker.read();

```

Sao chép sang một tệp tin `main.py`.

Chạy live server:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]

  (*config.mutable_device_count())["CPU"] = num_cpu_devices;

  // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the

  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - edata1-1:/edata1

                if (scheduledJob.isRunning()) {
                    if (logger.isDebugEnabled()) {
                        logger.debug("{} is running.", scheduledJob.getId());
                    }
                    counter.incrementAndGet();
                } else if (logger.isDebugEnabled()) {
                    logger.debug("{} is not running.", scheduledJob.getId());
                }
            }

		lastUpdate:   metaCacheTestsetTimestamp.Add(-8 * time.Minute),
		lastHandout:  metaCacheTestsetTimestamp,
		dataVersion:  metacacheStreamVersion,
	},
	7: {
		id:           "case-8-running",
		bucket:       "bucket",
		root:         "folder/running",
		recursive:    false,
		status:       scanStateStarted,
		fileNotFound: false,
		error:        "",
		started:      metaCacheTestsetTimestamp.Add(-1 * time.Minute),

# This shows an example local config for ztunnel that adds a workload for localhost.
# This allows local testing by sending requests through the local ztunnel to other servers running on localhost.
workloads:
- uid: cluster1//v1/Pod/default/local
  name: local
  namespace: default
  serviceAccount: default
  workloadIps: ["127.0.0.1"]
  protocol: HBONE
  node: local
  network: ""
  services:
    "default/example.com":
      80: 8080