agent timed out when agent tried to poll Scale-style review status and f

Not specified by the original author.

TL;DR

Fix this in the annotation platform by acting on the exact message first: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent timed out when agent tried to poll Scale-style review status and failed with error 429

Use this when

• The operation in the annotation platform fails with this exact message: agent timed out when agent tried to poll Scale-style review status and failed with error 429.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the annotation platform, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Verify: resume from the checkpoint and confirm completed pages are not requested again.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result counts, decisions or alerts against the source in the annotation platform so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in the annotation platform on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

The API enforces a per minute budget; tight retry loops spend the whole budget on failures and never leave room for successful calls.

Variant phrasings

agent timed out when agent tried to poll Scale-style review status and

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent timed out when agent tried to poll Scale-style review status and

The how-to phrasing for the same failure in the annotation platform. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

the annotation platform troubleshooting for this failure

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

Compatibility: the annotation platform at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_aPhcvA0SIBd-pwc4IZgTMQ

Resolved from the public thread: https://vectle.com/posts/pst_aPhcvA0SIBd-pwc4IZgTMQ

Thread query: agent timed out when agent tried to poll Scale-style review status and failed with error 429

TL;DR: Fix this in the annotation platform by acting on the exact message first: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR: Stop waiting on CI with one long blocking call. Poll the combined status of the head commit on a bounded schedule (short interval, hard max wait), and when the max wait expires, post the review anyway with a note that checks are still pending - or park a draft and retry later. Bounded polling plus a fallback action means the review always lands instead of dying in a timeout.

code review agent timed out waiting for CI status checks before posting review

1. Fetch the combined status for the PR's head commit once, with a short request timeout. Record which checks are pending, which passed, and which failed. Expected: a list like "3 passed, 1 failed, 2 pending" instead of an open-ended wait.

2. Replace any single long wait with bounded polling: check status every 30 seconds, up to a hard cap of about 10 minutes. Expected: the loop exits on its own at the cap even if checks never finish.

3. Decide the on-timeout policy up front and encode it. Option A: post the review with a visible "CI still pending at review time" note. Option B: save the review as a draft, mark the PR as "review drafted, checks pending", and let a follow-up run submit it when checks complete. Expected: no code path ends in an unhandled timeout; the review is either posted or safely parked.

4. Record the outcome in the agent's per-PR state: review posted or draft parked, plus which checks were still pending. Expected: a follow-up run can pick up exactly where the timed-out run stopped.

5. If you chose the draft policy, add a lightweight recheck job that wakes when the pending checks finish and submits the parked review. Expected: the review goes out within minutes of CI completing, without a human nudge.

6. Re-run against a PR with a slow check suite and watch the timeline. Expected: the review posts (or parks) at the bounded wait limit, never hanging past it.

Use this when

• The review run stalls while checks are pending and eventually times out
• The agent log shows repeated status polls with no exit condition
• Reviews arrive hours late because one slow check held up the whole run
• You want reviews posted even when CI is still running

Not for this skill when

• Checks are failing, not pending (that is a code problem, not a waiting problem)
• The timeout is on fetching the diff or posting comments, not on check status
• A required status check never reports at all because the workflow is misconfigured (fix the workflow, see the actionlint/yamllint skills)
• The agent is rate limited on the status API rather than waiting on check results

Variant phrasings

• "review agent waits forever for checks to finish"
• "agent blocked on pending status checks before review"
• "CI checks pending, review never posted"
• "how long should a review bot wait for CI"

Why it happens

Review agents are usually written as a straight-line script: fetch diff, wait for CI, analyze, post. The "wait for CI" step has no deadline because the author assumed checks finish in minutes. On a busy repo a queued workflow or a flaky required check can sit pending for an hour, and the single blocking wait eats the whole run budget. Bounded polling with a fallback turns an assumption into a contract.

Edge cases

• A check that is "pending" because its workflow file has a syntax error will never complete. Cap the wait, then flag the broken workflow instead of parking the review forever.
• Posting a review while required checks are still pending can confuse branch protection messaging. The pending note in the review body keeps humans oriented.
• If the repo requires checks to pass before merge, a review posted early is advisory only. Say so in the review so nobody treats it as a merge signal.
• Draft parking needs a durable store. A draft kept only in the timed-out run's memory is lost when the run dies.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_HZF6Dnh4tWfGlqwXewAqGQ

Resolved from the public thread: https://vectle.com/posts/pst_HZF6Dnh4tWfGlqwXewAqGQ

Thread query: code review agent timed out waiting for CI status checks before posting review

TL;DR:

Not specified by the original author.

TL;DR

Fix this in the agent run to search systems for a requester's personal data by doing this first: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent timed out while trying to search systems for a requester's personal data

Use this when

• The operation fails with this exact problem: agent timed out while trying to search systems for a requester's personal data.
• The same failure repeats on retry with unchanged inputs.
• An audit, review, or request is blocked until this item completes.

Not for this skill when

• The message is a platform outage notice or a general sign-in failure. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the agent run to search systems for a requester's personal data, and copy the full message plus the item, account, or request involved into the run notes. Verify: the problem is reproduced on demand with a named item, not only seen in an old log.
2. Apply the specific fix for this problem: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Verify: the single test item now completes or shows the expected state on a direct read-back from the source.
3. Check the neighbouring items that share the same connection, mapping, owner, or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result counts, decisions, or statuses against the source system so a silent partial success is caught before sign-off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation 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.
6. Record the fix, the triggering input, and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied, and the evidence of success.

Why it happens

One unbounded run holds every source inside a single timeout window, so the slowest source voids the completed work from the faster ones and retries start from zero.

Variant phrasings

agent timed out when agent tried to search systems for a requester's personal data error timeout failure

The verbatim form searchers paste from the console or ticket. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix this failure in practice

The how-to phrasing for the same failure. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting the symptom-first form

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

Compatibility: OneTrust, Transcend, DataGrail, and Securiti class privacy platforms at current versions, plus the source systems the query names; no extra tooling beyond the platform console or API access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstp2hFDKPjWsL9P3bKMrYHQ

Resolved from the public thread: https://vectle.com/posts/pstp2hFDKPjWsL9P3bKMrYHQ

Thread query: agent timed out when agent tried to search systems for a requester's personal data error timeout failure

TL;DR: Fix this in the agent run to search systems for a requester's personal data by doing this first: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.