This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

## Header Parameters with a Pydantic Model

Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

        if (jobLogPager.id != null) {
            cb.query().docMeta().setId_Equal(jobLogPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_StartTime_Desc();
        cb.query().addOrderBy_EndTime_Desc();

        // search

    }

    public void deleteBefore(final int days) {

        if (scheduledJobPager.id != null) {
            cb.query().docMeta().setId_Equal(scheduledJobPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_SortOrder_Asc();
        cb.query().addOrderBy_Name_Asc();

        // search

    }

    public List<ScheduledJob> getScheduledJobList() {

        if (userPager.id != null) {
            cb.query().docMeta().setId_Equal(userPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_Name_Asc();

        // search

    }

    public List<User> getAvailableUserList() {
        return userBhv.selectList(cb -> {

| -------------------------- |

/// info

Webhooks are available in OpenAPI 3.1.0 and above, supported by FastAPI `0.99.0` and above.

///

## An app with webhooks

   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.
   * (Even if supported added {@code @NonNull}, that would not help, since the problem case
   * addressed by this method is the case in which {@code T} has parametric nullness -- and thus its
   * value may be legitimately {@code null}.)
   */

   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.
   * (Even if supported added {@code @NonNull}, that would not help, since the problem case
   * addressed by this method is the case in which {@code T} has parametric nullness -- and thus its
   * value may be legitimately {@code null}.)
   */

     * name of the bean property used to get/set the field: by default, field name is used.
     * @return the name of the bean property
     */
    @Nonnull
    String name() default "";

    /**
     * alias supported to get parameter value.
     * @return the alias
     */
    @Nonnull
    String alias() default "";

    /**

      dtype.code = DLDataTypeCode::kDLComplex;
      break;
    default:
      status->status = tensorflow::errors::InvalidArgument(
          DataType_Name(static_cast<DataType>(data_type)),
          " is not supported by dlpack");
      break;
  }
  return dtype;
}

// Gets DLPack's DLDevice from eager tensor handle.
DLDevice GetDlContext(TFE_TensorHandle* h, TF_Status* status) {
  DLDevice ctx;