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.
IFUsing response_format={'type': 'json_object'} with Ollama models in litellm causes a KeyError: 'name' because the post-processing code assumes the response is a function call.
THENIn litellm/llms/ollama/completion/transformation.py, modify the transform_response method to check if the response format is json_object and handle it appropriately instead of always expecting a function call with 'name' and 'arguments' fields. When response_format is json_object, the model's raw JSON output should be returned directly without wrapping in a function call structure.
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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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