A basic understanding of JavaScript is recommended when using transformer functions.
With the help of Transformers, one can customize and manipulate the behavior of the NLU of an Endpoint.
Watch Cognigy Sessions Episode "Endpoint Transformers" for a technical deep dive
In general, a transformer function is used for manipulating incoming or outgoing messages. With this functionality, one could, for example, translate a text or transform the Cognigy.AI message output in order to fit a specific format. In order to share this knowledge, the following table consists of free-to-use examples.
Please note that Cognigy does not provide enterprise support for developed Transformers. This repository is licensed under MIT, in which the community is responsible for the shared code.
Library
There are two different types of transformer functions, namely Endpoint and NLU.
Endpoint Transformers
| Icon | Name | Description | Type | Download | Version |
|---|---|---|---|---|---|
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Avaya Voice Channel | Use the Avaya Voice Channel | REST | Download | 1.1.2 |
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Realtime Translation | Translate messages automatically with Microsoft, Google Translate or DeepL | Webchat | Download | 1.3.0 |
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Telegram |
Connect to the Telegram Messenger (4.1.5 and higher!) |
Webhook | Download | 1.0.0 |
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Tyntec - WhatsApp | Deploy a virtual agent on WhatsApp | Webhook | Download | 1.1.0 |
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Vonage - WhatsApp | Deploy a virtual agent on WhatsApp | Webhook | Download | 1.0.0 |
NLU Transformers
| Icon | Name | Description | Download | Version |
|---|---|---|---|---|
 |
Rasa | Use the Rasa NLU | Download | 1.0.0 |
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