Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
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oom_prevention
performance-oom-prevention-cuda-out-of-memory-oom-occurs-when-requesting-many-dae74739
IFCUDA Out-of-Memory (OOM) occurs when requesting many logprobs because activation memory from logprob computation is not accounted for during KV cache sizing.
THENEnable chunked prefill by passing the `--enable-chunked-prefill` flag to vLLM. This spreads memory usage across multiple steps and prevents the OOM caused by logprob overhead.
Tier 170%
oom_prevention
performance-oom-prevention-cuda-oom-occurs-when-many-logprobs-are-requested-b-9a6d49d4
IFCUDA OOM occurs when many logprobs are requested because the KV cache size calculation does not account for additional memory used by logprobs.
THENUse the `--enable-chunked-prefill` flag when running vLLM to avoid the OOM issue. This workaround separates prefill into chunks, reducing peak memory usage. The root cause is being addressed in ongoing development.
Tier 170%
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