This should make it easier to use OkHttp in Gradle plugins.

 *  Fix: Don't start the clock on response timeouts until the request body is fully transmitted.
    This is only relevant for duplex request bodies, because they are written concurrently when
    reading the response body.

 *  **OkHttp now supports duplex calls over HTTP/2.** With normal HTTP calls the request must finish
    before the response starts. With duplex, request and response bodies are transmitted
    simultaneously. This can be used to implement interactive conversations within a single HTTP
    call.

    Create duplex calls by overriding the new `RequestBody.isDuplex()` method to return true.

    )
    val read = response1.body.source().read(ByteArray(8192))
    assertThat(read).isEqualTo(8192)

    // Make a second call that should transmit the response headers. The response body won't be
    // transmitted until the flow-control window is updated from the first request.
    val call2 = client.newCall(Request(server.url("/")))
    val response2 = call2.execute()
    assertThat(response2.code).isEqualTo(200)

  fun flushAfterStreamTransmittedWithNoLengthHeaders() {
    testFlushAfterStreamTransmitted(TransferKind.END_OF_STREAM)
  }

  /**
   * We explicitly permit apps to close the upload stream even after it has been transmitted.  We
   * also permit flush so that buffered streams can do a no-op flush when they are closed.
   * http://b/3038470
   */
  private fun testFlushAfterStreamTransmitted(transferKind: TransferKind) {

{* ../../docs_src/custom_response/tutorial006c.py hl[2,7,9] *}

### `StreamingResponse`

Toma un generador `async` o un generador/iterador normal y transmite el cuerpo del response.

{* ../../docs_src/custom_response/tutorial007.py hl[2,14] *}

#### Usando `StreamingResponse` con objetos similares a archivos

                        nameBuilder.append('/');
                    }
                }
                this.userPrincipalName = nameBuilder.toString();
                break;
            case 4: // Transited Encoding
                break;
            case 5: // Kerberos Time
                // DERGeneralizedTime derTime = KerberosUtil.readAs(tagged,
                // DERGeneralizedTime.class);
                break;

Isso ainda é verdade.

Então, para poder ter **vários processos** ao mesmo tempo, tem que haver um **único processo escutando em uma porta** que então transmite a comunicação para cada processo de trabalho de alguma forma.

### Memória por Processo