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.
IFMultimodal request with image_url fails on primary OpenAI deployment and falls back to Gemini; image content is lost because the messages dict is passed by reference and mutated during transformation.
THENDeep copy the messages payload before passing to each provider in the fallback chain. In the router's fallback logic (e.g., `_acompletion` / `run_async_fallback`), use `copy.deepcopy(messages)` to create an independent copy for each provider, preventing mutations from one provider's transformation (e.g., converting image_url to base64 for OpenAI) from affecting subsequent fallback requests.
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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