We are experiencing a persistent conflict error when attempting to update participant attributes on a live voice conversation via the Genesys Cloud API. The objective is to push specific metadata from our external CRM into the Genesys platform in real-time, allowing downstream analytics to correlate call outcomes with customer tier data.
The implementation involves a webhook listener that captures the conversation:started event. Upon receipt, a background worker queries the CRM and subsequently issues a PATCH request to /api/v2/conversations/voice/{conversationId}. The payload structure adheres to the documented schema for participant updates. Here is the specific JSON body being transmitted:
{
"participants": [
{
"id": "00b1a2c3-4d5e-6f7a-8b9c-0d1e2f3a4b5c",
"attributes": {
"crmCustomerId": "CUST-998877",
"priorityLevel": "HIGH"
}
}
]
}
The HTTP response consistently returns 409 Conflict. The response body indicates that the version of the participant resource has changed since the initial read, yet no other system is modifying these attributes. The If-Match header is included with the ETag retrieved from the initial conversation state fetch. It appears the conversation resource version increments rapidly, perhaps due to internal state transitions like DTMF collection or queue entry, rendering the ETag stale before the PATCH request completes.
Standard retry logic with exponential backoff has been implemented, but the conflict persists across multiple attempts within the same second. We have verified that the participant ID is correct and the conversation is indeed active. Is there a recommended pattern for handling high-frequency version updates on participant attributes? Or perhaps a different endpoint that allows for non-conflicting attribute updates without requiring strict ETag matching? The current approach is causing significant latency in our data synchronization pipeline.