private final OkHttpClient client = new OkHttpClient();
  private final Moshi moshi = new Moshi.Builder().build();
  private final JsonAdapter<Gist> gistJsonAdapter = moshi.adapter(Gist.class);

  public void run() throws Exception {
    Request request = new Request.Builder()
        .url("https://api.github.com/gists/c2a7c39532239ff261be")
        .build();
    try (Response response = client.newCall(request).execute()) {

A `requirements.txt` with some packages could look like:

```requirements.txt
fastapi[standard]==0.113.0
pydantic==2.8.0
```

///

## Run Your Program { #run-your-program }

After you activated the virtual environment, you can run your program, and it will use the Python inside of your virtual environment with the packages you installed there.

<div class="termy">

```console
$ python main.py

  private var nextQueueName = 10000
  private var coordinatorWaiting = false
  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *

    enum ExecutionMode {
        /**
         * Run at the beginning of each build. Kill potentially leaked processes in previous builds.
         * Only kill local Gradle processes (classpath in checkout directory).
         * Not clean up global Gradle processes (i.e. classpath in ~/.gradle/...).
         */
        KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS,
        /**

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

    OkHttpClient
      .Builder()
      .cache(
        Cache(
          directory = cacheDirectory,
          // 1 MiB.
          maxSize = 10L * 1024L * 1024L,
        ),
      ).build()

  fun run() {
    val request =
      Request
        .Builder()
        .url("http://publicobject.com/helloworld.txt")
        .build()

    val response1Body =
      client.newCall(request).execute().use {

/**
 * Create UNIX domain sockets for MockWebServer and OkHttp and connect 'em together. Note that we
 * cannot do TLS over domain sockets.
 */
public class ClientAndServer {
  public void run() throws Exception {
    File socketFile = new File("/tmp/ClientAndServer.sock");
    socketFile.delete(); // Clean up from previous runs.

    MockWebServer server = new MockWebServer();

) {
    QUICK_FEEDBACK_LINUX_ONLY(
        "Quick Feedback - Linux Only",
        "Run checks and functional tests (embedded executer, Linux)",
        "QuickFeedbackLinuxOnly",
    ),
    QUICK_FEEDBACK("Quick Feedback", "Run checks and functional tests (embedded executer, Windows)", "QuickFeedback"),
    PULL_REQUEST_FEEDBACK("Pull Request Feedback", "Run various functional tests", "PullRequestFeedback"),
    READY_FOR_NIGHTLY(

# Einen Server manuell ausführen { #run-a-server-manually }

## Den `fastapi run` Befehl verwenden { #use-the-fastapi-run-command }

Kurz gesagt, nutzen Sie `fastapi run`, um Ihre FastAPI-Anwendung bereitzustellen:

<div class="termy">

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

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

          public Runnable apply(Runnable runnable) {
            return new Runnable() {
              @Override
              public void run() {
                runnable.run();
                runnable.run();
              }
            };
          }
        },
        "run()",
        "invoked more than once");
  }

  public void testFailsToForwardParameters() {
    assertFailure(
        Adder.class,