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.
IFPydantic validation error 'cannot pickle 'pydantic_core._pydantic_core.ValidatorIterator' object' when using tool_call with tools that have a list return type.
THENReplace deepcopy with shallow copy on the pydantic object in the logging setup to avoid serialization failure. Specifically, in litellm's logging initialization, change copy.deepcopy(messages) to a shallow copy or use a custom serialization method that excludes the non-picklable ValidatorIterator. This fix is reported to resolve the issue for tools returning lists.
IFWhen using tool_call with tools that have a list return type, litellm's internal deepcopy on messages fails with 'cannot pickle pydantic_core._pydantic_core.ValidatorIterator'.
THENUpgrade to the latest stable release of litellm where this is fixed. As a workaround, modify the logging initialization to use shallow copy instead of deepcopy: replace `copy.deepcopy(messages)` with `copy.copy(messages)` in the `LiteLLMLogging.__init__` method.
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.
Connect a site