N8n cascade model router

★ 6.6 · n8n · medium · 14 nodes

N8n cascade model router is an n8n automation template for intelligent cascading routing of AI requests across multiple models based on availability, cost, or response quality. Reach for it when you need automatic failover to a backup model if the primary is down, when you want to cut API costs without sacrificing output quality, or when a pipeline should try several providers in sequence before giving up. The template implements cascade logic: if the first model returns an error or an unacceptable result, the request is automatically passed to the next model in priority order. Trigger: webhook. Integrations: AI provider connections are configured at setup time. Direction — routing between models within a single request, not load balancing across instances of the same model. Fits teams deploying AI agents in production who need model-level fault tolerance; not the right pick if you need human-in-the-loop approval or hallucination detection — those are separate templates in the same collection.