Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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.
Sample rules shown
2
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
azure_openai_config
infrastructure-azure-openai-config-using-azurechatopenai-with-openai-1-2-3-and-langch-731e6e5f
IFUsing AzureChatOpenAI with openai>=1.2.3 and langchain results in a 404 error 'Resource not found' due to incorrect Azure endpoint, deployment name, API version, or API key.
THENVerify the Azure OpenAI endpoint (format: https://<resource>.openai.azure.com), deployment name (must match Azure portal deployment name), API version (e.g., 2023-05-15), and API key. Ensure the deployment exists and is ready. If using the openai Python package v1.2.3+, also check compatibility with the langchain version.
Tier 170%
azure_openai_config
ai-agents-azure-openai-config-using-azurechatopenai-with-openai-1-0-0-when-both--2e529775
IFUsing AzureChatOpenAI with openai>=1.0.0 when both AZURE_OPENAI_ENDPOINT and OPENAI_API_BASE (or openai_api_base) are set results in pydantic validation error: 'base_url and azure_endpoint are mutually exclusive'.
THENEnsure only one of azure_endpoint or base_url is provided. Set only AZURE_OPENAI_ENDPOINT (and optionally AZURE_OPENAI_API_KEY) and unset any OPENAI_API_BASE or openai_api_base environment variable. In code, pass only azure_endpoint and azure_deployment, avoiding openai_api_base. As a temporary workaround, comment out the client initialization line for base_url in the langchain source file (langchain/chat_models/azure_openai.py).
Tier 170%
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.
Connect a site