400 Bad Request { "error": "invalid_schema", "message": "Purge payload exceeds batch limit or contains invalid session status reference." } hits every time I push a list larger than five IDs. I’m writing a Python script to automate session cleanup for Web Messaging and the docs are vague on the exact structure for the purge request. I’ve got the OAuth token handling sorted, but the DELETE call to /api/v2/messaging/webmessaging/sessions keeps rejecting the payload. I’m trying to include wipeData: true and reference the idleDuration in milliseconds, but the response just screams schema error.
The loop through active connections feels risky since a crash leaves zombie sessions hanging. I need to verify state persistence before wiping, and I’m logging the latency for memory reclamation rates. Is there a batch endpoint I’m missing, or do I have to handle the atomic DELETEs one by one with a retry mechanism? The external store callback handler needs the purge event timestamp, but the API isn’t returning a confirmation payload on success. Just a 204 No Content.
Hi all. Regarding the web messaging purge endpoint, does the payload structure satisfy strict schema validation controls? Audit requirements mandate that sessions reach a terminal state before deletion. Confirm that the API rejects active or pending references during batch operations. Does your retention policy align with the mandatory seven-day holding period?
{
"sessionIds": ["uuid-1", "uuid-2", "uuid-3"]
}
Batch operations cap out at fifty identifiers per request. Does the system properly trigger an invalid_schema rejection when this limit is exceeded? Verify that every sessionIds entry matches a CLOSED or ENDED status. Active sessions will be flagged during the compliance sweep. You’ll need to adjust the Python script to filter by status code before building the array to maintain audit trail integrity.
Review the configuration in the Integrations dashboard. Does the payload strictly utilize application/json headers? Missing the content-type header causes silent schema mismatches. This matches the pattern outlined in the community post regarding CRM data actions.
Run a test with three terminated IDs first. Verify that the audit log captures the deletion event for traceability. The retention policy enforces strict boundaries. Does endpoint validation properly fail on malformed UUIDs? Double-check the string formatting. The validator is strict. It’ll drop the whole batch if one ID is off.
platformClient indicates the 400 error usually triggers when the payload includes sessions that are still open or pending. The batch delete endpoint requires every ID to be in a terminal state. It’s strict about this.
Here is what testing showed:
- Sent payload with mixed status sessions. Failed with
invalid_schema.
- Filtered list to only
closed sessions. Passed.
- Increased batch size to 50. Passed.
The JSON body must use sessionIds. Don’t send a raw array. Also, check the X-Genesys-Request-Id header if the 400 persists. The gateway drops the payload silently sometimes.
import requests
headers = {
'Authorization': f'Bearer {access_token}',
'Content-Type': 'application/json'
}
# You have to filter these IDs first. No active sessions allowed.
payload = {
"sessionIds": [
"uuid-session-1",
"uuid-session-2"
]
}
response = requests.delete(
"https://api.mypurecloud.com/api/v2/messaging/webmessaging/sessions",
headers=headers,
json=payload
)
print(response.status_code)
If the error stays, pull the traceId from the headers. The SDK gets weird with empty arrays and turns them into null. That breaks the schema validator. Check your serialization logic.