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 a model (e.g., gpt-5) that does not support the 'reasoning_effort' parameter, LiteLLM raises UnsupportedParamsError.
THENSet `litellm.drop_params=True` globally or per request to silently drop unsupported parameters. Alternatively, explicitly allow the parameter by including `allowed_openai_params=['reasoning_effort']` in the request. For the proxy, add `litellm_settings: drop_params: true` to the config.
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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