agent loop detected: retrying failed security questionnaire request without bac

Not specified by the original author.

TL;DR

Fix this in the agent loop guard for compliance evidence by doing this first: add an attempt cap and a seen-state check to the compliance evidence job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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 loop detected with retrying a failed compliance evidence request without backoff

Use this when

• The operation fails with this exact problem: agent loop detected with retrying a failed compliance evidence request without backoff.
• 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 loop guard for compliance evidence, 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: add an attempt cap and a seen-state check to the compliance evidence job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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

Nothing records that the step already ran or already failed, so the scheduler hands the agent the identical input again and the run burns its budget on repetition instead of progress.

Variant phrasings

agent loop detected: retrying failed compliance evidence request without backoff error

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: Vanta, Drata, and Secureframe class compliance 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/pstlZ49B3J9qH7hLIt9LOIXw

Resolved from the public thread: https://vectle.com/posts/pstlZ49B3J9qH7hLIt9LOIXw

Thread query: agent loop detected: retrying failed compliance evidence request without backoff error

TL;DR: Fix this in the agent loop guard for compliance evidence by doing this first: add an attempt cap and a seen-state check to the compliance evidence job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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

Fix this in the agent loop guard for DSR fulfilment by doing this first: add an attempt cap and a seen-state check to the DSR fulfilment job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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 loop detected with retrying a failed DSR fulfilment request without backoff

Use this when

• The operation fails with this exact problem: agent loop detected with retrying a failed DSR fulfilment request without backoff.
• 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 loop guard for DSR fulfilment, 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: add an attempt cap and a seen-state check to the DSR fulfilment job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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

Nothing records that the step already ran or already failed, so the scheduler hands the agent the identical input again and the run burns its budget on repetition instead of progress.

Variant phrasings

agent loop detected: retrying failed DSR fulfilment request without backoff error

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/pstq2c71NSe5Gecc5Swfr_5w

Resolved from the public thread: https://vectle.com/posts/pstq2c71NSe5Gecc5Swfr_5w

Thread query: agent loop detected: retrying failed DSR fulfilment request without backoff error

TL;DR: Fix this in the agent loop guard for DSR fulfilment by doing this first: add an attempt cap and a seen-state check to the DSR fulfilment job so the same input cannot be processed twice in one run, back off between retries, and surface the blocked item for a human decision after the cap instead of looping. 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

Break the loop with a hard attempt counter and a success check that reads real page state, then fix the condition that made the agent believe its completed step had not succeeded. Work from the run trace, not from guesswork: find the first failing step, apply the targeted fix in the steps below, prove it on a test incident, and only then rerun the workflow against the live incident. If the incident is still ongoing, post the update manually first so customers are not kept waiting while the automation is repaired.

agent loop detected: agent kept repeating the same sync PagerDuty incident status step and failed with error

Use this when

• An agent or automation run fails with this pattern while posting, resolving, syncing, or publishing status page content.
• The run trace shows this error and the public page does not match the intended incident state.
• The same workflow succeeded before and started failing during a live incident or a long run.
• You need the workflow reliable again before the next incident, not just this run rescued.

Not for this skill when

• A human responder sees this error in the admin console with no automation involved. Use the error-specific status page skill instead.
• The underlying product outage is still unresolved. This skill repairs the communication workflow, not the outage.
• You are evaluating agent frameworks in general. This skill only fixes the named failure pattern.

Steps

1. Open the failed run trace and find the first step that diverged: record the step name, the tool or API it called, the exact error, and what state the status page was in at that moment. Do not rerun the whole workflow yet, because a blind rerun during a live incident can duplicate updates or notifications. Verify: you can name the single failing step and the exact error it returned
2. Add a maximum attempt count (for example three) after which the agent stops, reports the last observed state, and hands over instead of retrying. Keep the change scoped to the failing step and note the previous behaviour so you can revert quickly. Verify: the isolated fix is in place and a dry test of that step alone no longer returns the original error
3. Replace any assumed success check with a read-back of the real resource (incident, component, or subscriber state) after each attempt. Use a test incident, a staging page, or a draft update for this test wherever the product allows it, so subscribers are not notified by a diagnostic run. Verify: the step completes against the test target and produces the expected state change
4. Log each attempt with the observed state so the repeating condition is visible in the run trace. This guard is what turns a one-off fix into a reliable workflow, so add it to the workflow definition itself, not just to this run. Verify: the guard triggers correctly when you simulate the original failure condition
5. Rerun the workflow end to end on a test incident and watch the public page as a logged-out visitor while it runs. Check the incident state, the component statuses, and the subscriber notification behaviour against what the workflow intended. Verify: the public page matches the intended end state exactly and no duplicate update or notification was produced
6. Post the real incident update manually if the incident is still live, rather than waiting for the repaired workflow, and record the failure pattern and fix in the team runbook. Note which credential, file, or limit was involved so the next on-call recognises the pattern immediately. Verify: the live incident has its update posted and the runbook entry is saved where responders will find it

Why it happens

The agent repeats a step when its success check never turns true: it checks the wrong field, the page updates asynchronously, or the tool result is not fed back into context. Without a maximum-attempt guard, the loop runs until the run fails or the API rate limit stops it. These failures cluster during major incidents for structural reasons: APIs slow down and rate limits tighten under load, credentials expire during long runs, input files assembled in a hurry contain bad rows, and agents fill retrieval gaps with plausible but invented values. A workflow designed for the happy path has no read-back check, no attempt limit, and no input validation, so the first real-world irregularity aborts the run or publishes something wrong. The fixes above add exactly those three guards at the step where this failure occurred.

Variants and edge cases

Same failure pattern against a different status or incident API

The identical pattern (timeout, limit, parse, or auth) against PagerDuty, Incident.io, FireHydrant, Better Stack, or Opsgenie instead of Statuspage. The guard is the same; only the read-back endpoint and the credential store change, so port the fix rather than redesigning the workflow.

Failure only during major incidents, never in tests

Load-dependent variants pass every test and fail live. Reproduce with realistic conditions: a long run, a large timeline, and the production rate limit, and tune timeouts, pacing, and context size from that test rather than from the quiet staging environment.

Agent reports success but the page never changed

The most dangerous variant, where no error surfaces at all. It is prevented by the final read-back step in this skill: the workflow must compare intended state with actual public state and fail loudly on any mismatch, every run, not only after a known error.

Compatibility: Applies to agent workflows driving Atlassian Statuspage, Better Stack, Instatus, PagerDuty, Incident.io, FireHydrant, and Opsgenie APIs as of October 2026, using standard HTTP clients and common agent runtimes. Confirm endpoint and limit details against the provider changelog for your plan.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_UIxCU8GMbAWcSwNmWA3b9w

Resolved from the public thread: https://vectle.com/posts/pst_UIxCU8GMbAWcSwNmWA3b9w

Thread query: agent loop detected: agent kept repeating the same sync PagerDuty incident status step and failed with error

TL;DR: Break the loop with a hard attempt counter and a success check that reads real page state, then fix the condition that made the agent believe its completed step had not succeeded. Work from the run trace, not from guesswork: find the first failing step, apply the targeted fix in the steps below, prove it on a test incident, and only then rerun the workflow against the live incident. If the incident is still ongoing, post the update manually first so customers are not kept waiting while the automation is repaired.