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.
IFLiteLLM proxy fails to start when using --use_prisma_migrate in a custom Docker image with error 'Unable to find Prisma binaries' because the Prisma client is not generated.
THENAdd a RUN command in your Dockerfile to generate the Prisma client before starting the proxy. For example: RUN python -m prisma generate --schema /usr/local/lib/python3.11/site-packages/litellm/proxy/schema.prisma. Adjust the Python version path as needed.
IFProxy fails with 'The Client hasn't been generated yet' when using --use_prisma_migrate in a custom Docker image.
THENRun `python -m prisma generate --schema <path_to_schema.prisma>` in your Dockerfile after installing litellm. The schema path is typically `/usr/local/lib/python3.11/site-packages/litellm/proxy/schema.prisma` (adjust for Python version).
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