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  • 1.  Best Practices for Error Handling in Genesys Cloud Architect Flows

    Posted 4 hours ago

    I would like to get the community's recommendations on best practices for error handling and troubleshooting in Genesys Cloud Architect flows.

    In production implementations, Architect flows can involve Data Actions, external APIs, JSON responses, integrations, and other dependencies. I would like to understand the recommended design approach for handling unexpected scenarios.

    Specifically:

    • How should Data Action failures and timeout scenarios be handled?

    • What is the recommended approach for retry logic?

    • How should invalid, empty, or unexpected API responses be handled?

    • What is the best way to design fallback paths when an integration is unavailable?

    • Are there recommended patterns for handling errors consistently across multiple Architect flows?

    • What are the best practices for logging and troubleshooting Architect flow failures?

    • How can we prevent an unexpected error from terminating the customer journey?

    • Is there a recommended production-ready error-handling framework or design pattern from Genesys?

    I would appreciate any recommendations, examples, or lessons learned from real-world Genesys Cloud implementations.

    Thanks in advance for your suggestions and guidance!


    #Architect

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    Raju Yadav
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  • 2.  RE: Best Practices for Error Handling in Genesys Cloud Architect Flows

    Posted 2 hours ago

    Hi Raju,

    Just sharing how we've handled this in some of our implementations.

    For Data Actions, we explicitly handle the Failure and Timeout paths in Architect rather than allowing an integration failure to end the customer journey. Depending on the use case, we provide an alternative path or route the customer to an agent/queue.

    We also validate the Data Action outputs before using them for subsequent decisions, particularly where the response controls routing or the next step in the flow.

    For troubleshooting, we've found Participant Data useful as well. At key points in the flow, we can store relevant values as participant attributes, which helps us understand what value was actually passed or available at that point when investigating an interaction. Obviously, we avoid storing sensitive information there.

    For one of our more complex external integrations, we also use Genesys Cloud Functions to keep the integration logic outside the flow. The Function handles the external API processing and returns a simple, controlled response back to Genesys. We've found this useful for keeping the flow/script logic simpler when dealing with external systems.

    That's what has worked well for us so far. Interested to hear what patterns others in the Community are using, particularly around retry logic and standardising error handling across multiple flows.



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    Phaneendra
    Technical Solutions Consultant
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