Only valid on functions that declare a frame size of 0.
</li>
<li>
<code>TOPFRAME</code> = 2048
<br>
(For <code>TEXT</code> items.)
Function is the outermost frame of the call stack. Traceback should stop at this function.
</li>
</ul>

<h3 id="special-instructions">Special instructions</h3>

<p>

    `tf.debugging.disable_traceback_filtering()`, and can be re-enabled via
    `tf.debugging.enable_traceback_filtering()`. If you are debugging a
    TensorFlow-internal issue (e.g. to prepare a TensorFlow PR), make sure to
    disable traceback filtering. You can check whether this feature is currently
    enabled by calling `tf.debugging.is_traceback_filtering_enabled()`.

    ```
    """

    def __init__(
        self: AppType,
        *,
        debug: Annotated[
            bool,
            Doc(
                """
                Boolean indicating if debug tracebacks should be returned on server
                errors.

                Read more in the
                [Starlette docs for Applications](https://www.starlette.io/applications/#instantiating-the-application).