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.
IFWhen using LiteLLM SDK to connect to an OpenAI-compatible provider (including another LiteLLM proxy) and passing the 'thinking' parameter via 'allowed_openai_params', the SDK passes it as a keyword argument to the underlying OpenAI client, causing an APIError.
THENInstead of using 'allowed_openai_params', pass the 'thinking' parameter inside the 'extra_body' dictionary in the request payload. For example, set kwargs["extra_body"] = {"thinking": {"type": "disabled"}} in the request. This bypasses the parameter validation and passes the argument correctly to upstream providers.
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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