Quick question about handling webhook failures in CXone. My endpoint returns 500 intermittently, and CXone stops retrying after a few attempts. I want to implement a dead letter queue pattern. Is there a way to configure the webhook subscription via the /api/v2/webhooks API to forward failed payloads to a separate S3 bucket or Lambda for manual retry? I tried setting the retryCount in the JSON payload but it seems ignored. Here is my current config: { “eventTypes”: [“conversation.analyzed”], “retryCount”: 5 }. Any ideas?
It’s worth reviewing at using an intermediary Lambda instead of relying on Genesys Cloud’s internal retry logic for critical data.
def handler(event, context):
# Write payload to S3 DLQ if target returns 5xx
s3.put_object(Bucket='dlq-bucket', Key='failed.json', Body=json.dumps(event))
This ensures no conversation data is lost during transient endpoint failures.
The way I solve this is by bypassing the webhook subscription layer entirely for critical data pipelines. Relying on retryCount in the subscription payload is ineffective because Genesys Cloud’s internal retry mechanism is not configurable for custom dead-letter routing. Instead, use an intermediate AWS Lambda as the primary webhook target. This Lambda acts as a durable buffer. If the downstream consumer fails, the Lambda explicitly writes the event body to an S3 bucket or SQS queue. This mirrors the pattern seen in Twilio Functions where you control the failure path directly rather than hoping the platform retries correctly. The webhook subscription simply points to arn:aws:lambda:eu-west-1:.... Inside the handler, validate the HTTP status code from the downstream call. If status >= 500, invoke boto3.client('s3').put_object. This shifts the reliability burden from the Genesys platform to your infrastructure, which is more predictable.
Warning: Ensure your Lambda timeout exceeds the downstream processing time to avoid premature termination.
{
“eventTypes”: [“conversation:updated”],
“url”: “https://your-lambda-url”,
“retryConfig”: {
“maxRetries”: 5,
“backoff”: “exponential”
}
}
If I remember correctly, the `retryCount` field you mentioned is deprecated. The `retryConfig` object handles internal retries, but for a true dead letter queue, you must return `200 OK` from your Lambda to stop Genesys retries, then handle the downstream failure and S3 write within the Lambda function itself.
You need to stop relying on the retryCount field in the webhook JSON because the Genesys Cloud API ignores it for custom routing logic. Error: 400 Bad Request. Message: Invalid webhook configuration.
I confirmed that the retryConfig object mentioned by is the correct path, but you still cannot define an external S3 bucket or Lambda as a secondary destination directly in the Genesys Cloud webhook subscription settings. The platform does not support native dead-letter queue forwarding to external endpoints.
The solution is to route the webhook to a single AWS Lambda function. This Lambda must return 200 OK immediately to acknowledge receipt and stop Genesys retries. Then, inside the Lambda, implement your own retry logic with an exponential backoff. If the downstream processor fails, write the payload to an SQS queue or S3 bucket as your dead letter. This mirrors the Terraform state management pattern where you handle drift locally rather than expecting the provider to fix it automatically.
{
"eventTypes": ["conversation:updated"],
"url": "https://your-lambda-url",
"retryConfig": {
"maxRetries": 0,
"backoff": "linear"
}
}