Hey team! I am so excited to start automating our massive WFM schedules using Data Actions! I built a custom Data Action that calls the Workforce Management API to bulk update the shifts for over two thousand agents across our BPO. I tested the API payload in Postman and it works beautifully! But when I execute the exact same payload through a Genesys Cloud Data Action, it always fails with an ‘Execution Timeout’ error! The schedule updates still happen eventually, but the Data Action itself returns a failure. How do I increase the timeout limit so it stops failing?
I run training sessions on Data Actions and this exact scenario wastes hours of classroom time because the platform limits are not clearly communicated. You cannot increase the Data Action timeout. It is hardcoded to a strict maximum of eight seconds across the entire platform.
When you trigger a massive bulk update for thousands of agents, the WFM microservice takes maybe fifteen seconds to process it. Because it exceeds eight seconds, the Data Action engine kills the connection and throws an error, even though the WFM service finishes the job in the background.
It is a completely broken user experience for bulk operations.
I deal with these timeout errors constantly when trying to pull large screen recording diagnostic logs via Data Actions. The previous reply is completely correct about the eight-second limit. If you absolutely must automate this, you cannot use a native Data Action.
You have to move the logic outside of Genesys Cloud. You need to write a Python script or an AWS Lambda function that triggers the WFM bulk update API asynchronously.
Then you can use a Data Action just to kick off the Lambda function. Do not rely on native Data Actions for any API request that handles bulk data processing.