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Fix this in Apollo by check the original job status before resubmitting, use the contact email as the dedupe key on any retry, and reconcile created counts against submitted counts before declaring the run complete. Use when this exact error blocks an enrichment run, import or sync. Not for a platform outage notice or…
Fix this in Territory planning agent by plan one territory segment at a time, load account identifiers with a compact firmographic summary instead of full records, and write each segment plan before loading the next segment. Use when this exact error blocks an enrichment run, import or sync. Not for a platform outage …
Fix this in Clay and HubSpot by chunk the import into batches of a few hundred rows, run the waterfall per batch with a checkpoint of completed row identifiers, and resume from the first unfinished batch instead of restarting the import. Use when this exact error blocks an enrichment run, import or sync. Not for a pla…
Fix this in Icypeas by split the remaining unprocessed addresses into a fresh smaller job, download results for the completed portion, and reconcile delivered rows against submitted rows so no address is silently lost. Use when this exact error blocks an enrichment run, import or sync. Not for a platform outage notice…
Fixes this failure in the enrichment batch job - stream the file in chunks of about one thousand leads, checkpoint after each chunk, and free each chunk results before loading the next, instead of holding the whole file and all responses in memory. Prove it on one record, then rerun the full scope and reconcile the co…
Resume the run for flag deal risk signals in a renewal call from its last completed stage instead of restarting it, first fixing the input the run log names as missing or invalid for that stage, because the agent stopped partway and left the task half done (a summary without its destination write, or extracted items n…
Fixes this failure in Apollo enrichment - pause the workflow, cut concurrency to one worker, batch requests to Apollo in small groups that fit its published limit, wait between batches as the limit response directs, resume from the last successful record, and cache finished results so records are not requested again. …
Fixes this failure in warehouse - pause the workflow, cut concurrency to one worker, batch requests to warehouse in small groups that fit its published limit, wait between batches as the limit response directs, resume from the last successful record, and cache finished results so records are not requested again. Prove…
Fixes this failure in Apollo enrichment - pause the workflow, cut concurrency to one worker, batch requests to Apollo in small groups that fit its published limit, wait between batches as the limit response directs, resume from the last successful record, and cache finished results so records are not requested again. …
Resume the run for extract action items from a Gong call transcript from its last completed stage instead of restarting it, first fixing the input the run log names as missing or invalid for that stage, because the agent stopped partway and left the task half done (a summary without its destination write, or extracted…
Fixes this failure in warehouse - pause the workflow, cut concurrency to one worker, batch requests to warehouse in small groups that fit its published limit, wait between batches as the limit response directs, resume from the last successful record, and cache finished results so records are not requested again. Prove…
Fail the run on NaN instead of recording it as healthy: the tracker logged NaN for every epoch while the run shows green, so add a metric sanity check that marks the run failed when the primary metric is NaN, and fix the training instability that produced it. Use when a tracked training workflow where run status comes…
Recover or discard the incomplete run directory: a Guild run directory without a status file is a run that died before Guild finished initialising it, so check for a live process first, then either let Guild repair the run view or remove the orphaned directory. Use when a Guild AI workspace where runs are listed, comp…
CUDA out of memory and a NaN loss in the tracker are two symptoms of one event more often than two bugs: the allocation failure or a recovery path left the loss computation producing NaN for steps the tracker faithfully recorded. Use when a GPU training run whose tracked loss turns to NaN. Not for a genuine numerical …
Find the exception the script swallowed: a run marked FAILED while training appears to complete usually means an error in a finally block, a callback, or the process exit path, or the script's main work finished but a later logging or artifact step threw. Use when an MLflow training job whose run status disagrees with…
Validate the file or payload header and schema version first, read the input in named chunks with a summary per chunk, and keep the tail records instead of truncating at a fixed character count. Use when this exact failure blocks a named record, run, or build in generic churn stack. Not for a different error message o…
CUDA out of memory and a NaN loss in the tracker are two symptoms of one event more often than two bugs: the allocation failure or a recovery path left the loss computation producing NaN for steps the tracker faithfully recorded. Use when a GPU training run whose tracked loss turns to NaN. Not for a genuine numerical …
Fixes an agent run that fails with a context limit error during schedule the dashboard delivery, by summarising intermediate results and paging large reads instead of loading everything into the prompt. Use when runs fail on big dashboards after many steps. Not for a small task failing on its first step, which points …
Fixes an agent run that fails with a context limit error while trying to check campaign completion, by chunking inputs, keeping state outside the context and summarising per batch. Use when full review data is loaded into one agent context. Not for a run that fails on a single small input, which points at a different …
Diagnoses a Prefect task run reported as crashed with an infrastructure timeout, where the process or container running the task died or never reported back. Use when runs show crashed rather than failed. Not for a task that raised a Python exception and reported a normal failure.
Diagnoses a task killed by SIGKILL under the LocalExecutor, which almost always means the host OOM killer, and shows how to prove it and size the task or the box. Use when a task dies with no Python traceback. Not for application errors that raise an exception you can read.
Fixes Deepnote scheduled runs failing with out-of-memory on a large merge. Use when the scheduled run OOMs but interactive runs survive. Not for kernel or environment install issues.
Fixes OOM-killed tests misclassified as code regressions. Use when a test dies with exit 137 or OOMKilled and gets blamed on code. Covers checking exit signals and container limits, distinguishing OOM from bugs, and right-sizing memory. Not for genuine memory leaks in the code.
Fixes OOM-killed tests misclassified as code regressions. Use when a test dies with exit 137 or OOMKilled and gets blamed on code. Covers checking exit signals and container limits, distinguishing OOM from bugs, and right-sizing memory. Not for genuine memory leaks in the code.
Distinguishes the two causes behind container exit code 137: OOMKilled (the container exceeded its memory limit) versus node-pressure eviction (the node ran out of memory). Shows how to read the termination reason and fix each. Reach for it when a container dies with 137 and you need to know which memory problem it wa…