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.
IFOpenAI GPT-5 model via LiteLLM returns 'Unsupported parameter: max_tokens' or errors about temperature/reasoning parameters.
THENReplace 'max_tokens' with 'max_completion_tokens' in the request. Set 'temperature' to 1 or omit it (only default supported). Do not include 'reasoning' parameter. If using LiteLLM proxy, redeploy with updated configuration. For direct usage, update the completion call accordingly.
IFWhen using OpenAI GPT-5 series models through LiteLLM, errors occur for unsupported parameters: 'max_tokens' (use 'max_completion_tokens'), non-default 'temperature' (only 1 allowed), and the 'reasoning' parameter (not supported).
THENUpdate requests for GPT-5 models to use 'max_completion_tokens' instead of 'max_tokens', set 'temperature' to 1 (the only supported value), and omit the 'reasoning' parameter entirely. Verify model-specific API documentation for correct parameter names and allowed values.
IFLiteLLM throws UnsupportedParamsError when setting temperature != 1 for gpt-5-chat-latest model.
THENEither set litellm.drop_params=True in the client initialization to silently ignore the temperature parameter, or set temperature=1 explicitly. The parameter may be dropped entirely, so the model uses its default (likely 1).
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.
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