Calling AWS Lambda from Genesys Cloud Architect via Data Action — IAM Role Configuration and Implementation
What You Will Build
- You will build a serverless integration where a Genesys Cloud Architect flow triggers an AWS Lambda function using a Data Action.
- You will configure the necessary AWS IAM roles and policies to allow Genesys Cloud to invoke your Lambda function securely.
- You will write the TypeScript code for the Lambda function and the JSON configuration for the Genesys Cloud Data Action.
Prerequisites
- AWS Account: An active account with permissions to create Lambda functions, IAM roles, and API Gateway resources.
- Genesys Cloud Account: An account with Admin privileges to configure Integrations and Architect.
- OAuth Client: A Genesys Cloud OAuth client with the
integrations:writescope for programmatic integration creation (optional, if using UI) oradminfor manual setup. - AWS SDK:
aws-sdk(v2) or@aws-sdk/client-lambda(v3) if configuring via CLI/Code. - Node.js: Version 18+ for the Lambda runtime.
- Postman or curl: For testing the Lambda endpoint.
Authentication Setup
This integration relies on two distinct authentication mechanisms:
- Genesys Cloud to AWS: Genesys Cloud acts as the caller. It uses the credentials provided in the Integration settings to authenticate against AWS STS (Security Token Service) to assume a role or directly invoke via IAM user credentials.
- AWS Internal: The Lambda function runs with an execution role that defines what AWS resources the function can access (e.g., DynamoDB, S3).
For this tutorial, we will use the AWS IAM User Credentials method within the Genesys Cloud Integration, as it is the most straightforward for initial testing. We will also cover the more secure Role Assumption pattern.
Step 1: Create the AWS IAM User and Credentials
- Navigate to the AWS IAM Console.
- Create a new User named
genesys-cloud-lambda-invoker. - Attach the following policy inline or via a managed policy:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"lambda:InvokeFunction"
],
"Resource": "arn:aws:lambda:<REGION>:<ACCOUNT_ID>:function:<FUNCTION_NAME>"
}
]
}
- Create Access Keys (Access Key ID and Secret Access Key) for this user.
- Store these credentials securely. You will need them for the Genesys Cloud Integration configuration.
Step 2: Configure the Genesys Cloud Integration
- Log in to Genesys Cloud Admin.
- Navigate to Admin > Integrations.
- Click Add Integration.
- Select AWS as the integration type.
- Name the integration
Lambda-Invoker. - Select AWS Lambda as the specific service.
- Enter the Access Key ID and Secret Access Key from Step 1.
- Set the AWS Region (e.g.,
us-east-1). - Click Save.
Note: If you prefer Role Assumption, select “Assume Role” in the integration setup. You must provide the Role ARN. The Genesys Cloud service principal must be trusted by the IAM Role. This is more complex and requires updating the Trust Policy of the IAM Role to include genesyscloud.amazonaws.com.
Implementation
Step 1: Create the AWS Lambda Function
We will create a Node.js 18 Lambda function that accepts a JSON payload from Genesys Cloud, processes it, and returns a response.
File: index.js
// index.js
const AWS = require('aws-sdk');
const dynamoDb = new AWS.DynamoDB.DocumentClient();
exports.handler = async (event, context) => {
console.log("Received event:", JSON.stringify(event, null, 2));
// Validate input
const { conversationId, userId, message } = event.body || event;
if (!conversationId || !userId) {
return {
statusCode: 400,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ error: "Missing conversationId or userId" })
};
}
try {
// Example: Write to DynamoDB
const params = {
TableName: 'GenesysLambdaLogs',
Item: {
conversationId: conversationId,
userId: userId,
message: message,
timestamp: new Date().toISOString()
}
};
await dynamoDb.put(params).promise();
return {
statusCode: 200,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
success: true,
message: "Data stored successfully",
conversationId: conversationId
})
};
} catch (error) {
console.error("Error processing request:", error);
return {
statusCode: 500,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ error: "Internal server error" })
};
}
};
IAM Role for Lambda Execution:
Create an IAM Role Lambda-Execution-Role with the AmazonDynamoDBFullAccess policy (or a more restrictive custom policy) attached. Assign this role to the Lambda function during creation.
Step 2: Expose Lambda via API Gateway (Optional but Recommended)
Genesys Cloud Data Actions can invoke Lambda directly using the Lambda ARN, but this requires specific permissions. A more common pattern is to expose the Lambda via API Gateway and use the HTTPS endpoint in the Data Action. This provides better logging and monitoring via CloudWatch Logs for API Gateway.
- In AWS Console, go to API Gateway.
- Create a REST API.
- Create a Resource
/invoke. - Create a POST method.
- Set the integration type to Lambda Function.
- Select your Lambda function.
- Deploy the API to a stage (e.g.,
prod). - Copy the Invoke URL (e.g.,
https://xxxxx.execute-api.us-east-1.amazonaws.com/prod/invoke).
If you choose to invoke Lambda directly without API Gateway, you will use the Lambda ARN in the Data Action configuration. This tutorial assumes the API Gateway pattern for robustness.
Step 3: Create the Data Action in Genesys Cloud
A Data Action is a reusable component in Architect that performs an HTTP request.
- Navigate to Admin > Integrations.
- Find your
Lambda-Invokerintegration. - Click Add Data Action.
- Name it
WriteToLambda. - Set the HTTP Method to
POST. - Set the URL to the API Gateway Invoke URL from Step 2.
- Configure the Headers:
- Key:
Content-Type, Value:application/json
- Key:
- Configure the Body:
- Select JSON.
- Paste the following template:
{
"conversationId": "{{conversation.id}}",
"userId": "{{user.id}}",
"message": "{{input.message}}"
}
- Define Inputs:
- Name:
message, Type:String.
- Name:
- Define Outputs:
- Name:
statusCode, Type:Integer, Path:$response.statusCode. - Name:
body, Type:String, Path:$response.body.
- Name:
- Click Save.
Step 4: Use the Data Action in Architect
- Open Architect.
- Create a new Flow.
- Drag a Set Variable block to define
input.message. - Drag a Data Action block.
- Select
WriteToLambdafrom the dropdown. - Map the
messageinput to your variable. - Connect the Success path to a Set Variable block to capture
data.body. - Connect the Error path to a Set Variable block to capture
error.message.
Complete Working Example
AWS Lambda Code (index.js)
const AWS = require('aws-sdk');
const dynamoDb = new AWS.DynamoDB.DocumentClient();
exports.handler = async (event, context) => {
// Handle API Gateway proxy integration format
const body = event.body ? JSON.parse(event.body) : event;
const { conversationId, userId, message } = body;
if (!conversationId || !userId) {
return {
statusCode: 400,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ error: "Missing required fields" })
};
}
try {
const params = {
TableName: 'GenesysLambdaLogs',
Item: {
conversationId: conversationId,
userId: userId,
message: message,
timestamp: new Date().toISOString()
}
};
await dynamoDb.put(params).promise();
return {
statusCode: 200,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ success: true, data: { conversationId } })
};
} catch (error) {
console.error("Error:", error);
return {
statusCode: 500,
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ error: "Internal server error" })
};
}
};
Genesys Cloud Data Action JSON (for API Creation)
If you prefer to create the Data Action via the Genesys Cloud API, use the following payload. This requires the integrations:write scope.
Endpoint: POST /api/v2/integrations/{integrationId}/dataactions
{
"name": "WriteToLambda",
"description": "Sends data to AWS Lambda via API Gateway",
"httpMethod": "POST",
"url": "https://xxxxx.execute-api.us-east-1.amazonaws.com/prod/invoke",
"headers": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"bodyType": "JSON",
"body": "{\n \"conversationId\": \"{{conversation.id}}\",\n \"userId\": \"{{user.id}}\",\n \"message\": \"{{input.message}}\"\n}",
"inputs": [
{
"name": "message",
"description": "Message to send",
"type": "String"
}
],
"outputs": [
{
"name": "statusCode",
"description": "HTTP Status Code",
"type": "Integer",
"path": "$response.statusCode"
},
{
"name": "body",
"description": "Response Body",
"type": "String",
"path": "$response.body"
}
]
}
Common Errors & Debugging
Error: 403 Forbidden (AWS)
- Cause: The IAM user credentials in the Genesys Cloud Integration do not have permission to invoke the Lambda function or the API Gateway.
- Fix: Verify the IAM policy attached to the
genesys-cloud-lambda-invokeruser. Ensure theResourceARN matches the exact Lambda function or API Gateway resource. If using API Gateway, ensure the Lambda function’s resource policy allows invocation from the API Gateway.
Error: 500 Internal Server Error (Genesys Cloud)
- Cause: The Lambda function crashed or returned an invalid response format.
- Fix: Check CloudWatch Logs for the Lambda function. Ensure the function returns a valid JSON object in the
bodyfield if using API Gateway proxy integration.
Error: 401 Unauthorized (Genesys Cloud)
- Cause: The OAuth token used to create the Data Action via API is invalid or lacks the
integrations:writescope. - Fix: Regenerate the OAuth token with the correct scopes. Verify the client ID and secret.
Error: Data Action Timeout
- Cause: The Lambda function takes longer than the timeout configured in the Data Action (default is 30 seconds).
- Fix: Increase the timeout in the Data Action settings or optimize the Lambda function. Ensure the API Gateway timeout is also increased if using API Gateway.