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 returns null for tool_calls and function_call in chat completion response when no tools are invoked, but downstream consumers (e.g., n8n/LangChain AgentExecutor) expect an empty array/object.
THENChange the response format to either omit tool_calls and function_call when null (aligning with OpenAI’s specification) or explicitly return [] and {} respectively. The latter is preferred to avoid breaking existing tests and to match the documented API type (Array).
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