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.
IFAzureChatOpenAI with openai>=1.0.0 fails with validation error 'base_url and azure_endpoint are mutually exclusive' when both OPENAI_API_BASE and AZURE_OPENAI_ENDPOINT environment variables are set.
THENUnset any legacy OPENAI_API_BASE environment variable and only set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY. Alternatively, when constructing AzureChatOpenAI, avoid passing openai_api_base if azure_endpoint is already provided. Verify environment variables before initializing the model to prevent conflict.
IFUsing AzureChatOpenAI (or AzureOpenAIEmbeddings) with openai>=1.0.0 and having both OPENAI_API_BASE and AZURE_OPENAI_ENDPOINT environment variables set causes a validation error 'base_url and azure_endpoint are mutually exclusive'.
THENUnset the legacy OPENAI_API_BASE environment variable before using Azure OpenAI with the new openai package. Only set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY. If you previously used OPENAI_API_BASE, remove it from your environment.
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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