code: function setNlpConfigs (configs) {  
    return new Promise (async (resolve, reject) => {
      let request_options = {
        'path': '/me/nlp_configs',
        'method': 'POST',
        'qs': {}
      };
      for (name in configs) {
        request_options.qs[name] = configs[name];
      }
      try {
        let response = await this.sendGraphRequest(request_options);
        resolve(response);
      } catch (e) {
        reject(e);
      }
    });
  }
docs: Sets config values for [built-in NLP](https://developers.facebook.com/docs/messenger-platform/built-in-nlp.
  @param {Object} configs The NLP configs to set
  @return {String} configs.nlp_enabled  Enable/disable built-in NLP. Must be `true` or `false`
  @return {String} configs.model  The default NLP model to use. For values, see the [Messenger Platform docs](https://developers.facebook.com/docs/messenger-platform/built-in-nlp#api).
  @return {String} configs.custom_token  [Wit.ai](https://wit.ai/) server token for integrating a custom model.
  @return {String} configs.verbose  Enables verbose mode, which returns extra information like the position of the detected entity in the query. Must be `true` or `false`.
  @return {String} configs.n_best  The number of entities to return, in descending order of confidence. Minimum 1. Maximum 8.
  @memberof Client#
  @example
  let configs = {
  'nlp_enabled': true,
  'model': 'ENGLISH',
  'custom_token': '924t2904t7304ty3wo',
  'verbose': true,
  'n_best': 2
  }
  Client.setNlpConfigs(configs).then(res => {
  .then(res => {
  console.log(res) // { 'success': true }
  });