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.
IFPrompt metrics median latency shows abnormally high values (e.g., hours instead of seconds) due to incorrect aggregation.
THENReview the aggregation logic for median latency in prompt metrics. Ensure it computes the actual median of observed latencies rather than summing them. The fix was applied in Langfuse v3.86.2.
IFDashboard widgets for unique user/session IDs show total trace count instead of distinct count in Langfuse self-hosted instances.
THENFix the query builder's `translateAggregation` function in `web/src/features/query/server/queryBuilder.ts` to avoid wrapping distinct SQL expressions with `count()`. Specifically, change `count(${metric.alias || metric.sql})` to use `metric.sql` directly for metrics like `uniqueUserIds` and `uniqueSessionIds`. Alternatively, upgrade to a version that includes the complete fix (may require patching beyond PR #9808).
IFPrompt median latency in Langfuse metrics tab is reported as an abnormally high value (e.g., hours instead of seconds) due to the aggregation incorrectly summing observations instead of computing a true median.
THENUpgrade Langfuse to version 3.86.2 or later, which corrects the median latency calculation. If self-hosted, update the container to the fixed release.
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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