There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

## Webhooks steps { #webhooks-steps }

    }

    /**
     * Redirects an authenticated user to the appropriate admin interface based on their roles.
     * Users with admin roles are redirected to the dashboard, while other users are redirected
     * to their designated admin action class or to the root if no specific action is available.
     *
     * @param user the authenticated user bean containing role information

    }

    /**
     * Represents a field facet with its name and value counts.
     * Each field facet contains multiple values with their respective document counts.
     */
    public static class Field {
        /**
         * Map containing field values and their document counts.
         * Keys are field values as strings, values are document counts.
         */

    /**
     * Analyzes the given text and returns a list of tokens along with their readings.
     *
     * @param text the text to analyze
     * @param field the field associated with the text
     * @param lang the language of the text
     * @return a list of analyzed tokens with their readings
     */
    List<AnalyzeToken> analyzeAndReading(String text, String field, String lang);

     * The returned list of versions is only dependent on the configured repositories and their contents.
     * The supplied request may also refer to a single concrete version rather than a version range.
     * In this case though, the result contains simply the (parsed) input version, regardless of the
     * repositories and their contents.
     *
     * @param session the session to use
     * @param artifactCoordinates t

And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇

You might want to try their services and follow their guides:

 *
 * <p>Each result is linked to its originating {@link Request}, allowing for:
 * <ul>
 *   <li>Traceability between requests and their outcomes</li>
 *   <li>Access to the session context used during processing</li>
 *   <li>Correlation of results with their initiating parameters</li>
 * </ul>
 *
 * @param <REQ> the type of Request that produced this result, ensuring type-safe

/**
 * Form class for editing job log entries in the admin interface.
 * This form handles the editing of system job execution logs,
 * providing details about scheduled tasks and their execution status.
 */
public class EditForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        // Default constructor
    }

    /**

    validations:
      required: true

  - type: textarea
    id: actual-behavior
    attributes:
      label: "What did you see happen?"
      description: Command invocations and their associated output, functions with their arguments and return results, full stacktraces for panics (upload a file if it is very long), etc. Prefer copying text output over using screenshots.
    validations:
      required: true

  - type: textarea

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).