Unverified50% confidenceFactExact time
When long prompts extend request residency time, if batch slot reuse lacks strict session-boundary cleanup, residual KV state may be read by the next request.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
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Related Claims
UnverifiedPolling at a fixed interval has two problems: when there are many tasks it causes a large number of invalid requests that consume quota and may even trigger rate limiting; when tasks take a long time it may lengthen the total waiting time74% similarUnverifiedPreviously, long conversations would error with 'Prompt is too long' instead of auto-compressing when the last reply reported zero token usage; this version has fixed that logic.71% similarUnverifiedSummarizing or compressing the previous attempt before retrying to retain key decision points is a common technique for long-conversation Agents, but compression may lose critical constraints.71% similarUnverifiedStreaming inference must read and write cache state at every time step; if the state tensors are large or the access pattern is non-contiguous, bandwidth pressure quickly turns into latency.70% similarUnverifiedA longer context makes model conversations more coherent, but also consumes more tokens and may hit the model's maximum input length limit.68% similar
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