```
https://www.external.org/events/invoices/2expen51ve
```

с телом JSON примерно такого вида:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

и будет ожидать от *внешнего API* ответ с телом JSON вида:

```JSON
{
    "ok": true
}
```

/// tip | Совет

```
https://www.external.org/events/invoices/2expen51ve
```

mit einem JSON-Body, der etwa Folgendes enthält:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

und sie würde eine Response von dieser *externen API* mit einem JSON-Body wie dem folgenden erwarten:

```JSON
{
    "ok": true
}
```

/// tip | Tipp

```
https://www.external.org/events/invoices/2expen51ve
```

con un JSON body que contiene algo como:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

y esperaría un response de esa *API externa* con un JSON body como:

```JSON
{
    "ok": true
}
```

/// tip | Consejo

```

然后，您的 API 就会处理发票，并在某个点之后，发送回调请求至 `callback_url`（外部 API）：

```
https://www.external.org/events/invoices/2expen51ve
```

JSON 请求体包含如下内容：

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

它会预期*外部 API* 的响应包含如下 JSON 请求体：

```JSON
{
    "ok": true
}
```

/// tip | 提示

```
https://www.external.org/events/invoices/2expen51ve
```

with a JSON body containing something like:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

and it would expect a response from that *external API* with a JSON body like:

```JSON
{
    "ok": true
}
```

/// tip

```
https://www.external.org/events/invoices/2expen51ve
```

com um corpo JSON contendo algo como:

```JSON
{
    "description": "Payment celebration",
    "paid": true
}
```

e esperaria uma resposta daquela *API externa* com um corpo JSON como:

```JSON
{
    "ok": true
}
```

/// tip | Dica

    *   `converter.convert()` no longer returns a `tf.function`. Now the
        function must be accessed from the saved model.
    *   The `converter.calibrate()` method has been removed. To trigger
        calibration, a `calibration_input_fn` should be provided to
        `converter.convert()`.

*   Other:

    *   Fix accidental quadratic graph construction cost in graph-mode
        `tf.gradients()`.