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 OpenRouter as a custom provider for embedding models in LiteLLM (e.g., model: 'openrouter/qwen/qwen3-embedding-8b') results in 'Unmapped LLM provider' error at the /v1/embeddings endpoint.
THENUpdate to a version of LiteLLM that properly maps OpenRouter's embedding endpoint. Alternatively, bypass LiteLLM for OpenRouter embeddings by making direct API calls to 'https://openrouter.ai/api/v1/embeddings' with the same API key, as the OpenRouter endpoint natively supports embeddings. If using LiteLLM proxy, ensure the model name includes 'openrouter/' prefix and check the LiteLLM documentation for any additional configuration required for embedding routes.
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