Route AI queries cost‑efficiently with GPT‑4o‑mini, GPT‑4o and confidence scoring

About

This workflow implements a cost-optimized AI routing system using n8n. It intelligently decides whether a request should be handled by a low-cost model or escalated to a higher-quality model based on response confidence. The goal is to minimize LLM usage costs while maintaining high answer quality. A query is first processed by a cheaper model. The response is then evaluated by a confidence-scoring AI agent. If the response quality is insufficient, the workflow automatically escalates the requ