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.
IFINFO-level logs for cost calculation and HTTP requests persist despite setting LITELLM_LOG to WARNING and disabling cost tracking, with HTTP request logs exposing full URLs including sensitive API keys (e.g., Gemini `&key=...`).
THENAfter importing litellm, override the 'LiteLLM' logger level to CRITICAL using `logging.getLogger('LiteLLM').setLevel(logging.CRITICAL)`. Also set the log level for the HTTP library (e.g., httpx, urllib3) to WARNING with `logging.getLogger('httpx').setLevel(logging.WARNING)`. For full suppression, set environment variable `LITELLM_LOG` to 'CRITICAL' before import (though it may be ignored) and implement a custom logging filter to redact any URL parameters or credentials from log messages.
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