We would like to request the ability to implement retry logic within AI Agent rule-based actions. Currently, when a rule fails to execute successfully (e.g., input not recognized, transfer failure, or timeout), the system does not consistently retry or provide configurable fallback handling.

This feature would allow administrators to:

Configure the number of retry attempts for each rule
Define retry conditions (e.g., no input detected, failed transfer, invalid response)
Customize retry prompts or messages
Set fallback actions after retry attempts are exhausted

Adding retry logic would improve reliability, reduce failed interactions, and enhance the overall user experience when using AI-driven call flows.