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.
IFLiteLLM 1.82.0 complexity router fails with Pydantic validation error when clients send message content as a list (e.g., `[{"type":"text","text":"..."}]`) because `PreRoutingHookResponse.messages` is typed as `List[Dict[str, str]]`.
THENEdit `litellm/types/router.py` and change the type of `messages` in `PreRoutingHookResponse` from `List[Dict[str, str]]` to `List[Dict[str, Any]]`. Also add `Any` to the typing imports (if not already present). This allows message content that is a list of content blocks (as per Anthropic's API) to pass Pydantic validation.
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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