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.
IFGemini 2.5 models in stream mode with reasoning_effort enabled return reasoning/thought chunks that are not identified, causing them to be concatenated with main content.
THENModify the chunk_parser in litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini.ModelResponseIterator to detect reasoning/thought chunks by checking chunk structure or flags, and separate them into a dedicated reasoning_content field (or into delta.thinking_blocks[0].thinking like Claude) instead of appending to the main content stream. This prevents reasoning data from being exposed directly to users.
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