agent timed out waiting for Planhat API response while trying to build the

Not specified by the original author.

TL;DR

Fix this in Planhat report agent workflow by acting on the exact message first: request Planhat company scores in paged batches, cache each page locally, build the executive report from the cache, and poll any long report job instead of holding a single request open until it times out. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set first, then rerun the full scope and reconcile the counts.

agent timed out waiting for Planhat API response while trying to build the executive health report error timeout failure slow

Use this when

• The operation in Planhat report agent workflow fails with this exact message or symptom: agent timed out waiting for Planhat API response while trying to build the executive health report error timeout failure slow.
• The same failure repeats on retry with unchanged inputs.
• Health scoring, alerting or routing 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 error remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Planhat report agent workflow, and copy the full message plus the account, measure or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: request Planhat company scores in paged batches, cache each page locally, build the executive report from the cache, and poll any long report job instead of holding a single request open until it times out. Verify: the smallest failing scope now completes, or the named account, measure or job behaves as the fix predicts.
3. Check the neighbouring accounts, measures or jobs that share the same config, schema or source, 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 Planhat report agent workflow 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, scores or status against the source in Planhat report agent workflow 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 error, the fix applied and the evidence of success.

Why it happens

Executive reports span the whole portfolio, and a single unpaged Planhat request is still running when the client time limit closes it.

Variant phrasings

agent timed out waiting for Planhat API response while trying to build the executive health report error timeout failure slow

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

How to fix - agent timed out waiting for Planhat API response while trying to build the executive health report error timeout failure slow

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

Planhat report agent workflow 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 sample scope but the full rerun still fails, a second account or record with the same fault is present; widen the scope in stages until the next failing item is found.
• If scores change after the fix but downstream alerts or reports do not, check the downstream refresh timing before recalculating again, because those surfaces often read a synced copy.
• If the source information itself is missing for the affected accounts, record that as a source gap rather than scoring the accounts as zero.

Compatibility: Planhat report agent workflow at current versions, plus the platform API or console 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/pstT5i2FmU3Lfed6ZuGSI7Zw

Resolved from the public thread: https://vectle.com/posts/pstT5i2FmU3Lfed6ZuGSI7Zw

Thread query: agent timed out waiting for Planhat API response while trying to build the executive health report error timeout failure slow

TL;DR: Fix this in Planhat report agent workflow by acting on the exact message first: request Planhat company scores in paged batches, cache each page locally, build the executive report from the cache, and poll any long report job instead of holding a single request open until it times out. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set 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.

Not specified by the original author.

TL;DR

Fix this in verbatim theme taxonomy agent with Medallia by acting on the exact problem first: time box Medallia verbatim requests, build the taxonomy from a bulk verbatim export when a request exceeds the box, and save theme counts per batch so a slow response never discards themes already found. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

agent timed out waiting for Medallia API response while trying to build the verbatim theme taxonomy error timeout failure slow

Use this when

• The operation in verbatim theme taxonomy agent with Medallia fails with this exact problem or symptom: agent timed out waiting for Medallia API response while trying to build the verbatim theme taxonomy error timeout failure slow.
• The same failure repeats on retry with unchanged inputs.
• NPS follow-up, routing or reporting 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 its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in verbatim theme taxonomy agent with Medallia, and copy the full problem plus the response, contact or job 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: time box Medallia verbatim requests, build the taxonomy from a bulk verbatim export when a request exceeds the box, and save theme counts per batch so a slow response never discards themes already found. Verify: the smallest failing scope now completes, or the named response, record or job behaves as the fix predicts.
3. Check the neighbouring responses, records or jobs that share the same config, segment 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. Rerun the original operation in verbatim theme taxonomy agent with Medallia 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 counts or status against the source in verbatim theme taxonomy agent with Medallia 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

Live per batch fetching from a slow reporting API makes taxonomy time unpredictable, and an end only save pattern turns one slow response into a total loss for the run.

Variant phrasings

agent timed out waiting for Medallia API response while trying to build the verbatim theme taxonomy error timeout failure slow

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

How to fix - agent timed out waiting for Medallia API response while trying to build the verbatim theme taxonomy error timeout failure slow

The how-to phrasing for the same failure in verbatim theme taxonomy agent with Medallia. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

verbatim theme taxonomy agent with Medallia troubleshooting for this failure

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

Compatibility: verbatim theme taxonomy agent with Medallia at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Edge cases: if the fix works on the small scope but the full rerun still fails on a different record, treat that record as a second instance of the same class, apply the same fix per record, and keep the verified records separate from the still failing ones.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_XjHfUygvh0nlBF3rV92Qrw

Resolved from the public thread: https://vectle.com/posts/pst_XjHfUygvh0nlBF3rV92Qrw

Thread query: agent timed out waiting for Medallia API response while trying to build the verbatim theme taxonomy error timeout failure slow

TL;DR: Fix this in verbatim theme taxonomy agent with Medallia by acting on the exact problem first: time box Medallia verbatim requests, build the taxonomy from a bulk verbatim export when a request exceeds the box, and save theme counts per batch so a slow response never discards themes already found. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.