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.
IFModel calls in Langfuse are not bound to the prompt when using `langfuse_prompt` in metadata with Langchain V1's `ainvoke` and a `CallbackHandler`.
THENPass the prompt object (obtained via `get_client().get_prompt(...)`) directly in the metadata as `{'langfuse_prompt': prompt}` and ensure the prompt supports `.get_langchain_prompt()` method. Do not pass a `ChatPromptTemplate` object directly as input messages; format messages manually using the prompt's method.
IFPrompt linking fails when langfuse_prompt is set in config metadata during LangChain agent/chain invocation; traces show no prompt binding.
THENSet the langfuse_prompt metadata directly on the LangChain ChatPromptTemplate object, not in the config metadata. Create a ChatPromptTemplate from the Langfuse prompt using get_langchain_prompt(), then assign metadata={'langfuse_prompt': prompt}. Use that template in the chain.
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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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