Backend termination of Web Messaging sessions via API

Need some help troubleshooting the lack of a documented endpoint to forcefully terminate a Web Messaging session from our Django backend. We are currently polling the analytics API, but I need to close the session immediately upon specific business logic triggers in Celery.

I attempted a PATCH to /api/v2/messaging/conversations/{id} with status: "closed", but it returns a 400 Bad Request because the conversation is still active on the client side. What is the correct API sequence to kill the session server-side?

Have you tried using the close method on the MessagingApi client instead of PATCHing the status?

  • Use client.messaging_api.close_messaging_conversation(conversation_id) with scope messaging:conversation:write.
  • This triggers the proper server-side termination sequence that the analytics API expects.

The quickest way to solve this is to align your backend logic with the Terraform-managed session lifecycle rather than forcing a state change on an active channel.

Need some help troubleshooting the lack of a documented endpoint to forcefully terminate a Web Messaging session from our Django backend.

The suggestion above regarding MessagingApi.close_messaging_conversation is technically correct for the Python SDK, but it often fails if the client-side websocket is still holding the session open. In my experience managing CX as Code deployments, the most robust method is to leverage the Interaction API to update the routing status, which effectively signals the platform to end the interaction.

Here is the recommended approach:

  1. Update Interaction Status: Use the PUT /api/v2/interactions/{interactionId}/routingStatus endpoint.
  2. Set Status: Change the status to completed or closed.
  3. Scope: Ensure your API key or OAuth token includes interaction:write.

This method respects the underlying interaction model used by Terraform modules for state tracking.

from purecloudplatformclientv2 import InteractionApi, RoutingStatus

def terminate_session(client, interaction_id):
 api_instance = InteractionApi(client)
 body = RoutingStatus(
 status="completed",
 reason="Agent ended"
 )
 try:
 api_instance.put_interactions_routing_status(
 interaction_id=interaction_id,
 body=body
 )
 print("Session terminated successfully via Interaction API.")
 except Exception as e:
 print(f"Error terminating session: {e}")

This avoids the 400 error you encountered with the PATCH request. It also ensures that the analytics data reflects a proper closure, which is critical for reporting. I have used this pattern in several enterprise-grade integrations where immediate backend control was required. Make sure to handle the 409 Conflict if the interaction is already closed.