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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 throws APIConnectionError 'Unable to parse ollama chunk' when streaming responses from Ollama models that include a 'thinking' field in chunks (e.g., gpt-oss:120B, qwen3-coder).
THENEnsure the Ollama streaming chunk parser in LiteLLM handles unexpected fields like 'thinking' that appear in models with a thinking phase. The fix is to extend the chunk parser to silently ignore such fields or process them correctly. As a workaround, disable streaming (set stream=False) to avoid the parsing error completely.
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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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