- Is it possible to configure the Agent Scripting module to handle variable persistence differently when the flow encounters a prolonged wait state, specifically within the context of our Europe/Paris deployment?
- The current architectural implementation relies on a sequential execution path where the agent must complete a series of scripted prompts before the conversation proceeds to the next logic block.
- During peak operational hours, typically between 09:00 and 11:00 CET, we observe a significant degradation in the responsiveness of the scripting engine.
- The specific issue manifests as a timeout error (HTTP 504) when the system attempts to retrieve the value of a local variable that was set approximately 45 seconds prior in the same interaction.
- This delay is not consistent across all agents but appears correlated with the concurrent session load on the specific Genesys Cloud instance.
- The Architect flow configuration uses a standard ‘Script’ node followed by a ‘Wait’ node to allow for external system processing.
- The expectation is that local variables remain in memory and accessible throughout the duration of the wait period, provided the session remains active.
- However, the Performance Dashboard indicates that the scripting engine is dropping these temporary variables prematurely, leading to null reference errors in subsequent nodes.
- We have verified that the variable names do not conflict with any global parameters and that the data types are correctly assigned as strings or integers.
- The error logs from the Conversation Detail View show a clear gap in the variable lifecycle, suggesting a scope limitation rather than a data corruption issue.
- It is critical to understand if this is a known limitation of the scripting engine under high concurrency or if there is a configuration setting within the Architect flow that can extend the variable retention time.
- We are not looking for a workaround involving external databases or API calls, as this would introduce unnecessary latency and complexity to the flow.
- The goal is to maintain the integrity of the agent script within the native Genesys Cloud environment without requiring a complete redesign of the flow architecture.
- Please advise on the best practices for managing variable scope in long-running interactions, particularly when the platform is under significant load.
- Any insights into the internal mechanics of how the scripting engine handles memory allocation during wait states would be highly appreciated.
Make sure you decouple the variable storage from the active flow execution context.
Is it possible to configure the Agent Scripting module to handle variable persistence differently when the flow encounters a prolonged wait state?
Relying on in-memory flow variables during long waits is a recipe for data loss if the session times out or the server rebalances load. The standard approach for high-volume deployments, particularly in Europe/Paris where latency spikes can occur, is to write critical state data to an external data store immediately upon capture.
Use a Data Action to push the script progress and collected inputs to a secure endpoint, such as a ServiceNow record or a custom NoSQL database via REST API. When the agent returns from the wait state, trigger a Data Action to fetch that state and repopulate the flow variables. This ensures persistence regardless of server-side timeouts. Configure the Data Action with a reasonable timeout (e.g., 5-10 seconds) and implement retry logic in your endpoint to handle transient network issues.
Check your flow timeout settings and ensure critical variables are persisted to the Contact object before any wait block executes.
Note: In-memory variables are wiped on session rebalance, which is common in high-volume deployments.
TL;DR: Use Contact attributes.
It depends, but generally… flow variables die on timeout. Store data in contact.attributes to survive the wait block.