Our integration service submits monthly forecast data to the Budgeting module via REST API, but we’re consistently getting 500 Internal Server Error responses. The same payload structure worked fine in our test environment but fails in production.
The API endpoint is /api/v2/budgeting/forecasts and we’re sending JSON with account codes, period identifiers, and forecast amounts. The error response body is completely empty - just the 500 status code with no additional details.
{
"forecastPeriod": "2025-Q1",
"department": "SALES-NORTH",
"accounts": [{"code": "4000-100", "amount": 125000}]
}
We’ve verified authentication tokens are valid and the payload validates against our schema. How can we enable debug logging to see what’s actually failing on the server side? We need to understand if this is a payload validation issue or something deeper in the API processing.
Batch at the department level but limit to 20 accounts per request. This keeps the payload manageable and aligns with how the budgeting module processes data internally. Also add retry logic with exponential backoff - the API can be rate-limited during peak processing times. Make sure you’re checking for duplicate submissions too, as retrying 500 errors without idempotency checks can create duplicate forecast entries.
I’ve dealt with this exact issue. The ICS 2022 budgeting API has strict payload size limits that aren’t documented. If your accounts array exceeds 50 items, it triggers an internal timeout that manifests as a 500 error. Try sending a minimal test payload with just 1-2 accounts to see if it succeeds. If so, you’ll need to batch your submissions into smaller chunks.
Good call on the minimal payload test. Sending a single account does work! So it’s definitely something about the payload size or structure when we include our full forecast data. We typically send 30-40 accounts per department per period. Should we batch at the account level or the department level?
Empty 500 errors usually mean an unhandled exception on the server. Check if your production environment has different data constraints than test. The account code format might need to match existing chart of accounts exactly. Also verify that the department code exists in the organizational hierarchy - invalid references can cause silent failures that bubble up as 500 errors.