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.
IFLangfuse Python SDK v3.0.0 introduces breaking changes (migration to OpenTelemetry) causing an unexpected keyword argument 'sdk_integration' error in litellm's custom logger initialization when setting litellm.success_callback = ['langfuse'].
THENPin the langfuse SDK version to <3.0.0 in your project dependencies. For example, set 'langfuse>=2.0,<3.0' in your requirements.txt or pyproject.toml. Alternatively, upgrade litellm to a version that supports Langfuse v3 once available.
IFInitializing litellm with langfuse callback (langfuse>=3) fails with TypeError: Langfuse.__init__() got an unexpected keyword argument 'sdk_integration'
THENPin langfuse SDK to version <3 in your project dependencies (e.g., `langfuse<3`) to avoid the breaking change introduced in langfuse v3. Alternatively, downgrade to langfuse v2.x. Monitor litellm releases for a future update that supports langfuse v3 via OpenTelemetry.
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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