## Documentation Index

Fetch the complete documentation index at: [/llms.txt](https://docs.cognigy.com/llms.txt)

Use this file to discover all available pages before exploring further.

In a Code Node, you can use a selection of predefined NPM modules. On this page, you’ll find all the necessary information to run these modules in a Code Node.

### Moment.js

You can use the moment.js module for parsing, validating, manipulation and displaying dates.

## **Usage**

In a Code Node, call the following function:

```
moment(inp?:any, format?: any, strict?: boolean);
```

## **Example**

The following example gets the current UTC time and date and outputs it back to the contact.

```
const utc = moment.utc();
api.output(utc);
```

For more information, see the [Moment.js Documentation](https://momentjs.com/docs/).

### Lodash

Cognigy.AI also supports the utility library Lodash within Code Nodes.

## **Usage**

You can call functions of the Lodash module by using the following syntax:

```
_.keys(<OBJECT>);
```

You can use any Lodash function within a Code Node. See their [documentation](https://lodash.com/docs/4.17.10) for further information.

## **Example**

The following example shows a typical use-case and syntax of the Lodash module.

```
const favouriteFoods = ["pizza", "spaghetti", "burger"];
const last = _.last(favouriteFoods);
api.output(last);
```

In this example we’re extracting the last element of the `favouriteFoods` array and sending it as an output message.

### Messenger Platform

In case you want to parse XML data, you can use this module.

## **Usage**

Within a Code Node, you can call the following method:

```
const xml =
    '<?xml version="1.0" encoding="utf-8"?>' +
    '<note importance="high" logged="true">' +
    '    <title>Happy</title>' +
    '    <todo>Work</todo>' +
    '    <todo>Play</todo>' +
    '</note>';

const result = xmljs.xml2json(xml, { compact: true, spaces: 4 });

// result will now contain a JSON representation of the xml above
```

### Text Cleaner

## **Usage**

Within a Code Node, you can invoke the `getTextCleaner` function, which retrieves an instance of the [Text Cleaner](https://docs.cognigy.com/ai/platform-features/nlu/text-cleaner) class.
This class provides access to various text-cleaning functions.

**Parameters**

| Parameter | Type | Description |
| --- | --- | --- |
| locale | string | The locale for which to instantiate the class. For example, ‘de’ or ‘en’. |
| options | object | See below for the config options. |

**Config Options**

```
{
    // additional characters which won't be cleaned by cleanDisallowedSymbols
    additionalAllowedCharacters: string[],

// additional symbols which are replace (for example, "minus": "-")
    additionalMappedSymbols: { [key: string]: string },

// additional phrases which are replaced
    additionalSpecialPhrases: { [key: string]: string },

// additions to the phonetic alphabet (for example, "cognigy": "c")
    additionalPhoneticAlphabet: { [key: string]: string }
}
```

**Returns**
Instance of the Text Cleaner class.

Last modified on June 10, 2026.