API rate limit hit mid-workflow when agent tried to balance interviewer load across final round panel error failed quota

TL;DR

Fix this in interviewer load balancing agent by acting on the exact problem first: read interviewer load for the full panel in one batched call before making any assignment, cache the counts for the run, honour the retry delay the calendar service returns, and if quota runs low finish the balancing from the cached counts rather than refetching. Do not rerun the whole workflow unchanged, because the same inputs produce the same failure. Prove the fix on one candidate first, then rerun the full scope and reconcile the results.

API rate limit hit mid-workflow when agent tried to balance interviewer load across final round panel error failed quota

Use this when

• The operation in interviewer load balancing agent fails with this exact problem: API rate limit hit mid-workflow when agent tried to balance interviewer load across final round panel error failed quota.
• The same failure repeats on retry with unchanged inputs.
• An interview, a panel booking or a candidate confirmation is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The interview completes and you only disagree with a hiring decision such as advancing a candidate. That is a hiring call, not this failure.

Steps

1. Reproduce the failure on one named candidate in interviewer load balancing agent and record the full problem text plus the candidate, requisition or panel involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: read interviewer load for the full panel in one batched call before making any assignment, cache the counts for the run, honour the retry delay the calendar service returns, and if quota runs low finish the balancing from the cached counts rather than refetching. Verify: the single failing candidate now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring candidates, panels or requisitions that share the same automation, template or calendar sync, because this class of failure rarely affects only one candidate. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in interviewer load balancing agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result against the source of truth, the ATS candidate record, the interviewer calendars or the booked calendar event, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the candidate record so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

API rate limit hit mid-workflow when agent tried to balance interviewer load across final round panel error failed quota

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single candidate proof, then the full rerun.

How to fix - API rate limit hit mid-workflow when agent tried to balance interviewer load across final round panel error failed quota

The how to phrasing for the same failure in interviewer load balancing agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

interviewer load balancing agent troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

Load balancing reads every interviewer calendar repeatedly while it tries swaps, so per swap refetching spends quota on counts that rarely change and the limit lands before assignments are written.

Edge cases

• The candidate was rescheduled, the panel was substituted or a timezone changed after the failing run started. Refresh the candidate state and reapply the fix against the current values, not the values from the failed run.
• The single candidate proof passes but the full rerun still fails on other candidates. Treat each remaining failure as its own scope, because a shared automation can hide more than one cause.
• The source systems disagree on the correct value. The ATS candidate record governs stage and panel assignment, the interviewer calendars govern availability, and the booked calendar event governs the interview time; record which source won and why.

Compatibility: interviewer load balancing agent at current versions, plus the ATS, calendar or video platform the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_J3QHit2W1I2qwPD2DNMWjw