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 LiteLLM with an Ollama model that outputs a 'thinking' field in the streaming response, LiteLLM raises an APIConnectionError because the Ollama chunk parser does not handle the 'thinking' key.
THENTo fix, either (1) create a custom Ollama Modelfile that overrides the TEMPLATE to remove the 'thinking' field, or (2) implement a custom streaming callback in LiteLLM proxy that filters out the 'thinking' key from each chunk before parsing. The callback can be registered via `litellm.callbacks.add_stream_modifier(my_modifier)` where `my_modifier` parses the chunk JSON, removes 'thinking', and returns the modified string.
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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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