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Select Use an existing role as Execution role, then select the role you just created from the Existing role list.

as Runtime (Python 3.9 was available at this time).

Click Create function, select Author from scratch, then input a Function name.

Click Functions in the left navigation bar, display list of your Lambda functions.

US West (Oregon) region for Japanese and English (AU) skills.

EU (Ireland) region for English (UK), English (IN), German (DE), Spanish (ES) or French (FR) skills.

US East (N.Virginia) region for English (US) or English (CA) skills.

Make sure you select the right region based on your Amazon account’s country:

IMPORTANT Your current region will be displayed in the top right corner.

Click Service in top navigation bar, expand the menu to display all AWS services, click Lambda under Compute section to navigate to the Lambda console.

Next you need to create a Lambda function. You should be able to find your new role in the roles list now.

Give your new role a name, such as AWSLambdaBasicExecutionRole-Intents, then click Create role button.

You can skip Add tags page, click Next: Review.

(Tips: you can use the search box to filter the policy)

Select AWSLambdaBasicExecutionRole policy, then click Next: Tags.

Click Roles in the left panel, then click Create role, select AWS Service -> Lambda in the first page of the wizard, then click Next: Permissions.

Click Service in top navigation bar, expand the menu to display all AWS services, click IAM under Security, Identity, & Compliance section to navigate to IAM console.

AWS has very strict access control, you have to explicitly define and assign the permissions. The first thing you need to do after you sign in to the AWS console is to create an IAM Role for Lambda execution.

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You don’t need to worry about the cost if your account has already passed the first 12 months, AWS provides up to 1 million Lambda requests, 1GB of outbound data and unlimited inbound data for free every month for all users. You first need sign in your AWS console, if you don’t have an AWS account yet, you can create a new user here with 12-month free tier benefit. Your Lambda function will deliver the response back to Alexa.

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The Alexa Custom skill will trigger a AWS Lambda function to process the request, we will write a small piece of code hosted as a Lambda function to basically redirect the request to your Home Assistant instance, then the Alexa integration in Home Assistant will process the request and send back the response. You can use this specially sized Home Assistant logo as the large icon and this one as the small one.

Name: HomeAssistantIntentsSkill (or whatever you want to call this skill).

Click the blue “Create Skill” button in the top right.

Click the Alexa button at the top of the console.

When running Home Assistant OS or Supervised, using the Duck DNS add-on is the easiest method.

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Read more on our blog about how to set up encryption for Home Assistant. This is so account linking can take place.

The Alexa Custom Skill API also needs your Home Assistant instance to be accessible from the internet via HTTPS on port 443 using a certificate signed by an Amazon approved certificate authority.

However, you don’t need to worry about the cost, as AWS Lambda allows for free to use up to 1 million requests and 1GB outbound data transfer per month.

Part of your Alexa Custom Skill will be hosted on AWS Lambda.

An AWS account is needed if you want to use the Alexa Custom Skill API.

Home Assistant offers no built-in sentences but offers a framework for you to define your own. This integration will allow you to query information and call services within Home Assistant by using your voice.

The built-in Alexa integration allows you to integrate Home Assistant into Alexa/Amazon Echo. I want to build custom commands to use with Echo