Unverified50% confidenceFactExact time
In Mastra, with modelSettings.maxRetries set to 5 and the default error handler retained, a single upstream 503 failure results in 18 requests and about 99 seconds of waiting.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedMastra has two layers of retry mechanisms: the AI SDK's modelSettings.maxRetries (default 0 in Mastra) and Mastra's default error handler (two additional retries, roughly three seconds apart); when both are enabled, failed requests multiply.78% similarUnverifiedAnthropic found that under strict per-task CPU and memory limits, as many as 6% of Terminal-Bench tasks failed due to pod errors unrelated to the model; after loosening the limits, scores moved by up to 6 percentage points.68% similarUnverified429 Too Many Requests means rate limiting; the server has not permanently rejected the bot and usually includes a Retry-After header requesting a retry later.68% similarUnverifiedWhen a provider returns 429 Too Many Requests, the execution flow of a multi-agent system making multiple consecutive calls will crash directly67% similarUnverifiedEach model call receives only the remaining time rather than a fixed timeout, to avoid slow responses causing the job to exceed the timeout limit and the run being unable to report back.66% similar
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