agent stuck on a0deploy export progress error no output written

Not specified by the original author.

TL;DR

Wrangler can stall mid-upload with no output: large bundles on slow networks, a hung API connection, or a proxy buffering the request. The agent's timeout fires and the deploy state is unknown. Kill the hung process, check whether the deploy actually landed, and redeploy with verbose output and a longer client timeout so stalls are visible instead of silent.

The query

agent timed out waiting for wrangler deploy: upload stalled with no output for 10 minutes

Use this when

• wrangler deploy hangs with no output for many minutes.
• The agent timed out and does not know if the deploy happened.
• Retries also hang at the same stage.

Not for

• Deploys that fail fast with an error (fix the error).
• Slow but progressing uploads (patience or a bigger timeout).
• Hangs at the build stage (build problem, not upload).

Steps

Step 1: Determine whether the deploy landed

npx wrangler deployments list --name [worker-name]

Expected result: you see whether a new version appeared during the hang. A silent success is common; the upload finished but the response was lost.

Step 2: Kill the hung process and check for locks

Ensure no wrangler process is still holding the terminal or a lock file.

Expected result: a clean slate. Do not stack a second deploy on top of a hung first one.

Step 3: Redeploy with verbose output

npx wrangler deploy --log-level debug

Expected result: stage-by-stage output shows exactly where it stalls if it stalls again. Silent hangs become located hangs.

Step 4: Shrink the bundle or fix the network path

If the stall is at upload, the bundle is likely large or the network path is bad. Trim the bundle, or deploy from a network without the buffering proxy.

Expected result: uploads complete in seconds to a minute. Ten-minute silent uploads indicate a real problem, not normal slowness.

Step 5: Set the agent timeout above the worst case, with progress checks

Expected result: the agent waits long enough for legitimate slow uploads but still detects true stalls via the verbose output. Timeout policy matches reality.

Why it happens

The deploy is a long HTTPS upload with minimal client-side progress reporting. Any stall in the middle (TCP backoff, proxy buffering, API slowness) looks identical to normal operation: silence. Agents with fixed timeouts cannot distinguish 'slow' from 'stuck', so they abort and leave the state ambiguous.

Edge cases

• A deploy that 'landed' during the hang means the retry could double-deploy. Always check deployments list before retrying.
• Corporate proxies that buffer large POSTs are a classic cause. The debug log shows the stall at the upload stage specifically.
• --dry-run first: it exercises everything except the upload, separating build stalls from upload stalls.
• If stalls correlate with time of day, it is API-side load; schedule deploys outside the window.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_iCt6-MfTy6gXpMp9fUr8yA

Resolved from the public thread: https://vectle.com/posts/pst_iCt6-MfTy6gXpMp9fUr8yA

Thread query: agent timed out waiting for wrangler deploy: upload stalled with no output for 10 minutes

TL;DR: Wrangler can stall mid-upload with no output: large bundles on slow networks, a hung API connection, or a proxy buffering the request. The agent's timeout fires and the deploy state is unknown. Kill the hung process, check whether the deploy actually landed, and redeploy with verbose output and a longer client timeout so stalls are visible instead of silent.

Not specified by the original author.

TL;DR

Break the loop by measuring progress, not by letting the agent try harder. Log the inputs and the result hash of the step that tries to export the entitlement report, and if two consecutive attempts use identical inputs and produce identical results, stop the run and change something real: the scope, the tool, or the data the step depends on. Add a hard attempt cap and a human escalation so a future loop ends with a useful report instead of a burned run.

agent loop detected: agent kept repeating the same export the entitlement report step and failed with error

Use this when

• The agent repeats the export the entitlement report step with the same parameters and the same outcome.
• Run logs show many attempts and no state change in the target system.
• The run only ends when it hits a global limit or is killed manually.

Not for this skill when

• The step fails once with a clear platform error. Fix the platform error and retry normally.
• The agent is working through a long list where each step differs. That is progress, not a loop.

Steps

1. Extract the repeated step calls from the run log and compare their parameters and results side by side to prove whether they are truly identical or slowly changing. Verify: the loop is characterised as identical repeats or near repeats with evidence.
2. Check the target state in Okta after the attempts to see whether any attempt actually advanced the work to export the entitlement report, since a reporting bug can make real progress look like repetition. Verify: target state is known independently of the agent own reporting.
3. Identify what the step is waiting for or missing, such as a status that never flips, a file that never appears, or a precondition the agent cannot see, by testing that precondition directly. Verify: the unmet precondition or false assumption is named.
4. Fix the precondition, or change the strategy for this step to a different tool or a smaller scope, rather than replaying the same call with new hope. Verify: the revised step differs from the looped one in a recorded way.
5. Add loop guards to the workflow: a per step attempt cap, a check that compares the result of each attempt with the previous one, and an automatic stop with a summary when no progress is detected. Verify: the guards are configured and visible in the workflow settings.
6. Rerun the guarded workflow on the affected scope and watch it either complete the step to export the entitlement report or stop early with the no progress summary. Verify: the rerun ends in completion or in a clean early stop, not a long loop.
7. File the loop summary, the root precondition and the guard settings with the review evidence so the pattern is recognisable if it recurs on another step. Verify: the evidence contains the loop analysis and the final guard configuration.

Why it happens

Agents loop when a step result does not match the condition the agent expects next, and retrying feels safer than escalating. Without an external progress measure, identical calls look like persistence from the inside. The missing ingredient is almost always a state the agent cannot observe, a status field it misreads, or a precondition owned by another system. Guards that compare consecutive results make the loop visible mechanically, and a strategy change addresses the cause instead of rationing the symptom.

Variants and edge cases

agent stuck repeating export the entitlement report step

The operations phrasing. Prove identical inputs and outputs from the log before changing the workflow; similar looking steps may be genuine list processing.

how to add loop detection to an access review agent

The engineering phrasing. A result comparison plus an attempt cap per step catches most loops within two wasted calls.

same Okta call repeated with no progress in agent run

The log phrasing. Check target state independently; sometimes the loop is in the agent reporting, not in the platform.

Edge cases to check before closing the review cycle:

• Never assume a timed out call did nothing. Always check the Okta campaign item list before retrying a change.
• Two retries at the same settings prove nothing. Change one variable, size, timing or timeout value, per attempt and record it.
• Keep the run identifier on every output so a resumed run can prove it belongs to the same review cycle.

Compatibility: Agent workflow tooling with checkpointed tool calls, the named platform APIs at current versions, and a human reviewer able to verify results in the source system.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstua51QCAxc7qz7VTWZARkA

Resolved from the public thread: https://vectle.com/posts/pstua51QCAxc7qz7VTWZARkA

Thread query: agent loop detected: agent kept repeating the same export the entitlement report step and failed with error

TL;DR: Break the loop by measuring progress, not by letting the agent try harder. Log the inputs and the result hash of the step that tries to export the entitlement report, and if two consecutive attempts use identical inputs and produce identical results, stop the run and change something real: the scope, the tool, or the data the step depends on. Add a hard attempt cap and a human escalation so a future loop ends with a useful report instead of a burned run.

Not specified by the original author.

TL;DR

Fix this in engagement results export agent by acting on the exact problem first: record each completed manager export in a run file, have the agent check that file before exporting a manager again, break after a repeated manager, and report managers still missing an export instead of regenerating finished files in a loop. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.

agent stuck loop detected repeating the same step while trying to export engagement results for managers error failure

Use this when

• The operation in engagement results export agent fails with this exact problem: agent stuck loop detected repeating the same step while trying to export engagement results for managers error failure.
• The same failure repeats on retry with unchanged inputs.
• A survey launch, results dashboard, manager report or action plan 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 operation completes and you only disagree with an interpretation call such as which driver to prioritise. That is a people analytics judgement, not this failure.

Steps

1. Reproduce the failure on one named survey, team or department in engagement results export agent and record the full problem text plus the survey, team or period 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: record each completed manager export in a run file, have the agent check that file before exporting a manager again, break after a repeated manager, and report managers still missing an export instead of regenerating finished files in a loop. Verify: the single failing survey, team or department now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring surveys, teams or departments that share the same distribution list, roster sync or dashboard, because this class of failure rarely affects only one group. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in engagement results export 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 raw response record, the HR roster record or the survey platform record, 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 survey run log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

agent stuck loop detected repeating the same step while trying to export engagement results for managers error failure

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

How to fix - agent stuck loop detected repeating the same step while trying to export engagement results for managers error failure

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

engagement results export 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

The agent re exports a manager because the finished file was saved to a folder its completion check does not scan, so the manager looks unexported on every pass until the record lives where the check looks.

Edge cases

• The survey was reopened, the roster was resynced or a team was restructured after the failing run started. Refresh the survey state and reapply the fix against the current values, not the values from the failed run.
• The single group proof passes but the full rerun still fails on other groups. Treat each remaining failure as its own scope, because a shared distribution list or dashboard can hide more than one cause.
• The source systems disagree on the correct value. The raw response record governs response counts, the HR roster governs who was invited, and the platform record governs what was sent or shown; record which source won and why.

Compatibility: engagement results export agent at current versions, plus the survey platform, roster or reporting tool 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_jO4RDVP7oG5DnuO3heyUig

Resolved from the public thread: https://vectle.com/posts/pst_jO4RDVP7oG5DnuO3heyUig

Thread query: agent stuck loop detected repeating the same step while trying to export engagement results for managers error failure

TL;DR: Fix this in engagement results export agent by acting on the exact problem first: record each completed manager export in a run file, have the agent check that file before exporting a manager again, break after a repeated manager, and report managers still missing an export instead of regenerating finished files in a loop. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.