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.
IFUsing ChatOCIGenAI from Langchain with model IDs like cohere.command-r-plus results in missing model name in Langfuse traces with warning 'not able to parse the LLM model'.
THENUpgrade Langfuse Python SDK to version >=2.51.2 to fix model name parsing for OCI GenAI models.
IFWhen using ChatOCIGenAI from Langchain with model IDs like cohere.command-r-plus, the model name is not captured in Langfuse traces.
THENUpgrade Langfuse Python SDK to version >=2.51.2, which includes fixes for parsing model names from Langchain integrations. If the issue persists, ensure the model_id parameter matches expected formats and check for any validation errors.
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.
Connect a site