When DeepSeek goes down, how can automated tasks keep their completed work?
IT Home describes a partial DeepSeek service interruption. The public status-history fetch returned only a JavaScript page shell, without incident details, so the reported duration is not presented as availability data verified by this site. Task recovery should first reconcile completed external actions before deciding where to retry.
What to consider
IT Home describes a partial DeepSeek service interruption. The public status-history fetch returned only a JavaScript page shell, without incident details, so the reported duration is not presented as availability data verified by this site. Task recovery should first reconcile completed external actions before deciding where to retry.
Keep enough of the task state to resume work
Keep the pending task list, generated files, failed step and error time together. If a batch contains several inputs, record each one's state. A single 'failed' status makes it difficult to tell which items finished and which never started.
Retain only the information needed for recovery, with credentials stored separately from ordinary outputs. If earlier steps already organized or converted material, preserve those results. They reduce rework and provide a reference for checking that resumed outputs have no missing pages or misplaced content.
Distinguish reading from external writes before retrying
For a step that only creates a local draft, check whether a complete file already exists before repeating it. For a step that submitted something to an external system, inspect the actual record there first. An incomplete response does not prove that the target system did nothing.
Give each task a recognizable identifier and check for an existing result when resuming. If the destination's state is still unclear, pause that item and record what needs confirmation. This helps prevent a retry from creating duplicate submissions or overwriting another result.
Decide whether to wait or use another approach
Consider the deadline, completed work and whether the remaining steps depend on the unavailable service. If you switch to another model or manual work, apply the original acceptance criteria and record the change in approach. Otherwise, differences in formatting or judgments within a batch can become hard to explain.
Check results with a fixed input
Suppose batch A has saved results, B timed out with an unknown write outcome, and C has not started. Read B’s target records using its task ID before retrying; do not repeat A, and start C separately. Rerunning every batch may duplicate submissions. No DeepSeek call or outage simulation was performed; this is a recovery example for ambiguous timeouts.
Source checks for this article
Checked within stated limits · 2026-10-21
IT Home describes a partial DeepSeek service interruption. The public status-history fetch returned only a JavaScript page shell, without incident details, so the reported duration is not presented as availability data verified by this site. Task recovery should first reconcile completed external actions before deciding where to retry.
Materials read
- DeepSeek web and API services experience a partial outage, displaying 'server temporarily unavailable' ↗
Reporting and public summaries · Read the report; the review conclusion states the limits of original data and independent reproduction.
Original references not obtained
- DeepSeek status history ↗
Original publication · HTTP 200 returned a page shell, not incident-history content that could be checked.
What remains unverified
- The incident body was not obtained from the status site. Exact times, affected regions or APIs and real recovery time were not verified.
Source links
Original reference links are retained below. The source-check section distinguishes materials read, materials not obtained and outcomes not reproduced.