agent timed out waiting for Intercom API response while trying to rebuil

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.

Not specified by the original author.

TL;DR

Fix this in member role sync agent by acting on the exact problem first: check in Discourse whether the slow role changes were applied before retrying them, then continue the sync in small member batches with the last completed member recorded, so a slow response costs one batch rather than the whole run. Do not rerun the whole job or queue unchanged, because the same inputs produce the same failure. Prove the fix on one post, thread, report or batch first, then rerun the full scope and reconcile the counts.

agent timed out waiting for Discourse API response while trying to sync community member roles

Use this when

• The operation in member role sync agent fails with this exact message or symptom: agent timed out waiting for Discourse API response while trying to sync community member roles.
• The same failure repeats on retry with unchanged inputs.
• Moderation, routing, auditing or a member facing community task is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with a moderation judgment or content quality. That is a policy review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in member role sync agent, and copy the full message plus the post, thread, report or member involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: check in Discourse whether the slow role changes were applied before retrying them, then continue the sync in small member batches with the last completed member recorded, so a slow response costs one batch rather than the whole run. Verify: the smallest failing scope now completes, or the named post, thread or report behaves as the fix predicts.
3. Check the neighbouring posts, threads, reports or members that share the same setting, rule or workflow, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in member role sync agent 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.
5. Compare the result counts or status against the source in member role sync agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
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

Role syncs that send many member updates in one request wait on the slowest of them, and a timeout hides whether some or all of the changes were applied.

Variant phrasings

agent timed out waiting for Discourse API response while trying to sync community member roles

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

How to fix - agent timed out waiting for Discourse API response while trying to sync community member roles error timeout failure slow

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

member role sync agent 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.

Edge cases

• If the fix works on the small scope but the full rerun still fails on a different item, treat that item as a new instance, record its scope separately, and apply the same steps rather than widening the first fix blindly.
• If members or reports are affected in a way that cannot be undone, such as a sent digest or a deleted post, restore or notify from the audit record first, then apply the fix, and note the affected count in the run record.
• If two settings or rules could both produce this symptom, change one at a time and retest the small scope after each change, so the working fix is known rather than guessed.

Compatibility: member role sync agent at current versions, plus the admin console, moderation queue or API the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_23I95LiKERnMmrozP-Igvg

Resolved from the public thread: https://vectle.com/posts/pst_23I95LiKERnMmrozP-Igvg

Thread query: agent timed out waiting for Discourse API response while trying to sync community member roles error timeout failure slow

TL;DR: Fix this in member role sync agent by acting on the exact problem first: check in Discourse whether the slow role changes were applied before retrying them, then continue the sync in small member batches with the last completed member recorded, so a slow response costs one batch rather than the whole run. Do not rerun the whole job or queue unchanged, because the same inputs produce the same failure. Prove the fix on one post, thread, report or batch first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Treat the timeout as a transport failure, not a bad dashboard. Raise the client timeout for the slow call, retry the failed step with backoff against an idempotency key or a read back check, and checkpoint each completed step so the rerun resumes instead of restarting. Most agent timeouts on the Metabase API happen on large payload calls that succeed on the second attempt once the step is isolated.

dashboard building agent failed to pull Metabase query results: Metabase API timed out with upload error

Use this when

• An agent run or release workflow fails and the log shows a timeout from the Metabase API during pull Metabase query results.
• Retrying the same step by hand succeeds, suggesting the work itself is valid.
• The Metabase side shows the content partly or fully created after the failed run.

Not for this skill when

• The API returns a fast validation error with a message. Fix the payload content instead of the timing.
• A user in the Metabase interface sees slow dashboards. That is a query performance issue, not an agent transport timeout.

Steps

1. Open the agent run log and find the exact Metabase API call that timed out, noting the endpoint, the payload size and the client timeout value in effect. Verify: the failing call is named with its timeout setting
2. Query the Metabase API for the target object and record whether the timed out write actually landed server side. Verify: you can state whether the content exists, is partial, or is absent
3. Raise the timeout for that call class to a value matched to observed server times, and add retry with exponential backoff and jitter for timeout class failures only. Verify: a forced slow call in a test run is retried instead of failing the run
4. Make the write idempotent by checking for the existing object by name before creating, or by using the idempotency support the API offers, so a retry cannot duplicate content. Verify: running the step twice produces one object, not two
5. Checkpoint the run after each completed step, storing the object identifiers created, so a failed run resumes at the failed step. Verify: a killed test run resumes mid build instead of restarting
6. Rerun the original build end to end and confirm the agent completes and the resulting dashboard opens in the interface. Verify: the run log shows completion and the dashboard renders

Why it happens

Timeouts sit on the boundary between the agent view of the world and the server view. The Metabase API does not roll back work just because the client stopped waiting, so the failure is ambiguous by nature. Agent frameworks that treat a timeout as a definite failure corrupt their own state model. Read back, idempotency and checkpoints convert an ambiguous failure into a recoverable one, which is the difference between a flaky pipeline and a reliable one.

Agent builds call the Metabase API in sequence, and several of those calls do heavy server side work, rendering, compiling, or writing a card and dashboard definitions plus the query result payloads. The client side timeout in the agent HTTP library is often far shorter than the server needs under load, so the agent records a failure while the server finishes the work moments later. Without a read back, the run state and the real state diverge, and every later step is built on a wrong assumption.

Operational notes for timeout failures in agent pipelines. Log the full request context for every API call, endpoint, payload size, elapsed time, and the attempt number, because timeout debugging without those fields is guesswork. Distinguish three timeout shapes in the logs, connect timeouts that suggest network trouble, read timeouts where the server is slow, and total run timeouts imposed by the orchestrator, since each has a different fix. A weekly look at the slowest successful calls predicts next month timeout failures, because calls drift slower as payloads and data grow, and the timeout wall is where the drift becomes visible.

Variants and edge cases

Metabase API timeout agent build retry idempotent

The reliability phrasing for making the step safe to retry.

agent timed out but dashboard was created read back state

The divergence phrasing when the server finished after the timeout.

release workflow failed Metabase upload timeout poll status

The workflow variant focused on polling instead of long calls.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_sq56hyZnxKvTZpn04YvM9Q

Resolved from the public thread: https://vectle.com/posts/pst_sq56hyZnxKvTZpn04YvM9Q

Thread query: dashboard building agent failed to pull Metabase query results: Metabase API timed out with upload error

TL;DR: Treat the timeout as a transport failure, not a bad dashboard. Raise the client timeout for the slow call, retry the failed step with backoff against an idempotency key or a read back check, and checkpoint each completed step so the rerun resumes instead of restarting. Most agent timeouts on the Metabase API happen on large payload calls that succeed on the second attempt once the step is isolated.