Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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.
Sample rules shown
2
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
ollama_chunk_parsing
ai-agents-ollama-chunk-parsing-ollama-model-returns-thinking-field-in-streaming-c-0624da72
IFOllama model returns 'thinking' field in streaming chunk causing APIConnectionError in litellm.
THENImplement a stream modifier callback in the LiteLLM proxy router that detects and transforms chunks containing 'thinking' field, ensuring they are parsed correctly. Alternatively, create a custom Ollama Modelfile to adjust the model's output template to omit the 'thinking' field.
Tier 170%
ollama_chunk_parsing
ai-agents-ollama-chunk-parsing-litellm-raises-unable-to-parse-ollama-chunk-when-s-80c0eaa5
IFLiteLLM raises 'Unable to parse ollama chunk' when streaming from Ollama, logged with chunk containing unexpected 'thinking' field.
THENUpgrade to LiteLLM v1.74.12 or apply the patch from PR #13375 which modifies the chunk parser in transformation.py to handle extra fields like 'thinking'. As a temporary workaround, disable streaming by setting `stream=False` in the completion request.
Tier 170%
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