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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memory_leak_mitigation
infrastructure-memory-leak-mitigati-litellm-proxy-memory-usage-grows-continuously-to-1-298009bd
IFLiteLLM proxy memory usage grows continuously to 12GB and CPU spikes to 100% after processing queries, eventually crashing.
THENSet the MAX_REQUESTS_BEFORE_RESTART environment variable to a reasonable threshold (e.g., 1000) to force a clean restart of the LiteLLM proxy process after handling that many requests. This prevents unbounded memory growth. Ensure LiteLLM version is at least v1.77.7 and restart the service after setting the variable.
Tier 170%
memory_leak_mitigation
infrastructure-memory-leak-mitigati-litellm-proxy-memory-consumption-grows-unboundedly-32f0b6fd
IFLiteLLM proxy memory consumption grows unboundedly leading to OOM kills in containerized environments.
THENSet the environment variable MAX_REQUESTS_BEFORE_RESTART to a suitable value (e.g., 1000) to force a restart after processing that many requests, preventing memory exhaustion. This is a temporary workaround until the root cause is fixed. The variable is available in LiteLLM v1.77.7 and later.
Tier 170%
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What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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