We are running Genesys Cloud in AWS US-East-1 on build version 23.45.0. Our team utilizes the pygenesys SDK version 0.7.9 to initiate bulk messaging via the /api/v2/outbound/conversations/contacts/messages endpoint. The immediate response payload indicates a status of queued, yet the conversationMessage webhook fires with a sent status after approximately five seconds. This latency causes our automated quality scoring logic to incorrectly flag successful deliveries as failures during the polling interval. We have verified the timestamp alignment between the initial POST and the webhook event log. The discrepancy persists across multiple batches of fifty messages. Does anyone else observe this race condition when using custom SDK implementations versus native UI?
This is expected behavior because the outbound messaging API operates asynchronously. The queue status confirms the request was received, not that the carrier processed it. A Java developer would typically implement a polling loop or listen for the callback event to confirm final state. Below is an example using the Java SDK for handling this flow:
Future<ConversationMessage> future = apiClient.outboundApi().postOutboundConversationsContactsMessages(...);
Ensure that the webhook endpoint for /api/v2/conversation/messages has the correct authentication headers configured in the integration settings. The status field updates only after carrier acknowledgment arrives at Genesys Cloud.
Low-code platforms handle this polling logic automatically within the connector actions. Workato and Tray.io wait for the final delivery receipt before marking the workflow as complete. If you are bypassing connectors to use direct API calls, verify that the conversationMessage event subscription is enabled in your organization settings.
Another potential cause involves timezone formatting differences between UTC in the payload and local server time during log parsing. Check if the initial POST timestamp aligns with the webhook entry after converting both to ISO 8601 format.