Quick question about Data Action timeout masking ServiceNow 429s

Quick question about the interaction between Genesys Cloud Data Action timeouts and ServiceNow rate limiting. When the SNOW instance returns a 429 Too Many Requests, does the GC Data Action immediately fail the flow node, or does it wait for the full 30s timeout configured in the integration settings before returning the error payload to the Architect flow? Need to determine if I need to implement a retry loop in the bot or handle it via the webhook response parsing.

You need to adjust the expectation around how the Data Action node handles HTTP status codes versus connection timeouts. The 30-second timeout is strictly for the underlying TCP connection or DNS resolution failure, not for a successful HTTP response with a 429 status. When ServiceNow returns a 429, the HTTP transaction completes immediately. The Data Action node receives the response and evaluates it against the success criteria defined in the integration settings. By default, only 2xx codes are considered successful. A 429 is treated as an immediate failure, causing the flow to jump to the error handling path without waiting for the timeout period.

To handle this gracefully, you should parse the response body in the error handler to detect the specific rate-limit header. This allows you to implement a dynamic wait loop based on the Retry-After value rather than a static retry.

{
 "error_code": 429,
 "message": "Too Many Requests",
 "headers": {
 "Retry-After": "5"
 }
}

Configure the Data Action to capture the full response payload, even on errors. This ensures the retry logic has access to the necessary metadata from the ServiceNow instance.

This looks like a scenario where the distinction between network latency and application-level HTTP responses creates a false sense of security. The previous explanation correctly identifies that a 429 is a successful HTTP transaction from the TCP perspective, meaning the Data Action node completes its execution cycle immediately upon receiving the response header. The 30-second timeout setting is irrelevant here because the connection was never lost; it simply returned a status code that the platform interprets as a completed request. If the integration settings are configured to treat non-2xx codes as failures, the flow will halt instantly, not wait for the timeout.

A critical gotcha in this architecture is that the Data Action node does not inherently retry on 429 errors unless explicitly configured within the flow logic. The platform treats the 429 response as a final state for that specific execution step. To handle this robustly, the Architect flow must include a decision node immediately following the Data Action to inspect the response status code. If the code is 429, the flow should route to a wait node or a loop structure with exponential backoff before retrying the Data Action. Relying on the global timeout setting provides no protection against rate limiting and will result in immediate flow termination if error handling is not implemented at the logic level. The documentation suggests that retry logic must be built into the flow path, not the integration timeout configuration.