We don't publish
your competitive advantage.
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.
IFWhen using vllm V1 engine via AsyncLLM API, the periodic throughput metrics (Avg prompt throughput, Avg generation throughput) are not logged.
THENUpgrade to vllm v0.8.4 or later where the metrics logger is correctly initialized for AsyncLLM. If using an older version, ensure the engine's background loop is automatically started by the `add_request` method, or use the synchronous LLM class. Alternatively, set VLLM_USE_V1=0 to use the V0 engine which logs metrics correctly.
IFWhen using vLLM V1 engine (VLLM_USE_V1=1) with AsyncLLM API directly, aggregate throughput metrics (Avg prompt throughput, Avg generation throughput, GPU KV cache usage) are not displayed in logs.
THENUpgrade to the latest vLLM version (main branch) which includes the fix for metrics logging in V1. If unable to upgrade, ensure the metrics logger is properly initialized when using AsyncLLM API directly; refer to PR #14082 for context.
IFIn vLLM V1, when using AsyncLLM API directly, the aggregate throughput metrics (Avg prompt throughput, Avg generation throughput) are not logged, while they are displayed correctly in V0.
THENEnsure you are using a version where the fix for issue #16348 is applied (e.g., main branch or a later release). As a temporary workaround, set the environment variable VLLM_USE_V1=0 to fall back to V0 metrics logging. Alternatively, check that the metrics logger is properly initialized in the AsyncLLM code path; the bug was introduced by PR #14082.
Connect your site → query the full pool
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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