# Amazon Chime SDK

{% hint style="info" %}
This feature is currently available to enterprise tiers only.
{% endhint %}

### Prerequisites

Assigning this channel to an application requires a one-time integration of Genesys in your NLX workspace.

<a href="../../../integrations/types/channels/amazon-chime-sdk" class="button primary">Integrate Amazon Chime SDK</a>

### Add channel to app

1. Select *Configuration* tab of your application&#x20;
2. Choose *+ Add channel* under *Delivery* section > Choose Amazon Chime SDK
3. Choose your Amazon Chime SDK workspace integration from the *Integration* dropdown

> Optional:
>
> * *Region*: Deploy your AWS resources in a desired region
> * *Fulfillment Lambda ARN*: The AWS Lambda function used for fulfilling Amazon Chime SDK
> * *Voice settings by language*: Enter an Amazon Chime SDK phone number by adding the language code + phone number combination
> * *Default escalation phone number*: Allows you to override a transfer number in an [Escalation node payload](https://docs.nlx.ai/platform/nlx-platform-guide/flows-and-building-blocks/overview/nodes#escalate)

5. Click *Create channel*
6. Click *Save*
7. Create an [application build and deploy](https://docs.nlx.ai/platform/nlx-platform-guide/setup#deployment)

{% hint style="info" %}
For voice-enabled conversations using Amazon Chime SDK, include the phone number under the *Voice settings by language* section. Phone numbers must be entered without spaces or dashes and preceded by a + and the country code (e.g., +15551234567)
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.nlx.ai/platform/nlx-platform-guide/ai-applications/deployment/managing-channels/amazon-chime-sdk.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
