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.
IFWhen using Gemini 2.5 models with reasoning_effort in stream mode, reasoning/thought chunks are mixed with the main content, producing incorrect final output.
THENModify LiteLLM's chunk_parser (in vertex_and_google_ai_studio_gemini.py) to detect thought chunks (e.g., via a flag from Gemini's includeThoughts) and place their text into a separate reasoning_content field in the delta, rather than appending to content. Reference PR #11075 for a partial fix that removes thinking from content; a better approach is to put it in a dedicated field, similar to how Claude uses delta.thinking_blocks or OpenAI uses reasoning_content.
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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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