N8n multi model fallback

★ 6.6 · n8n · medium · 14 nodes

N8n multi model fallback is an n8n automation template for building resilient AI pipelines with cascading fallback between language models. Trigger: manual. Integrations: not specified in metadata. Reach for it when a single model keeps failing or throwing errors and you need automatic failover to a backup; when you want hallucination checks before passing an agent's output downstream; when critical steps require human approval before the pipeline continues; or when you need to process embeddings in batches without crashing on a single failed request. The template ships as a collection of eight workflows covering agent hallucination detection, human-in-the-loop approval, multi-model cascade routing, an API circuit breaker, and batch embedding processing. Deploy by importing the JSON workflow files into a running n8n instance — self-hosted or cloud. The focus is on hardening AI agents already in production, not on the initial connection of a model to n8n. A good fit for developers and ML engineers who want fault tolerance at scale; not the right pick if you need a ready-made connector to a specific LLM provider.