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.
IFCalling `completion()` with `n=1` on OpenAI gpt-5-mini model causes `BadRequestError` due to `n` being misinterpreted as `previous_response_id`.
THENTemporarily set `litellm.model_cost["gpt-5-mini"]["mode"] = "completions"` to bypass the incorrect conversion, forcing the request to be handled as a completion rather than a response. Alternatively, upgrade to a LiteLLM version where the faulty PR (which routed all completion calls through the Responses API) has been reverted.
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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