In a workflow with a couple of Basic LLM Chain nodes I’m using as the model an OpenRouter sub node with a free model selected, and a paid model as the fallback. But the workflow errors if it hits the per-minute limit for free models at OpenRouter (Error = “OpenAI: Rate limit reached”) and doesn’t use the fallback as I’d hoped it would. If this is how fallback models are expected to operate, is there another way to achieve my desired behaviour?
Locally hosted in a Docker on Windows PC, n8n v 1.110.1