Adaptive LLM Router for Optimized AI Chat Responses Elevate your AI chatbots with intelligent model selection: automatically route simple queries to cost-effective LLMs and complex ones to powerful ones, balancing performance and expenses seamlessly. What It Does This workflow listens for chat messages, uses a lightweight Gemini model to classify query complexity, then selects and routes to the optimal LLM (Gemini 2.5 Pro for complex, OpenAI GPT-4.1 Nano for simple) to generate responses—ensuring efficient resource use. Key Features Complexity Classifier - Quick assessment using Gemini 2.0 Flash Dynamic Model Switching - Routes to premium or budget models based on needs Chat Trigger - Webhook-based for real-time conversations Current Date Awareness - Injects $now into system prompt Modular Design - Easy to add more models or adjust rules Cost Optimization - Reserves heavy models for demanding tasks only Perfect For Chatbot Developers : Build responsive, cost-aware AI assistants Customer Support : Handle routine vs. technical queries efficiently Educational Tools : Simple facts vs. in-depth explanations Content Creators : Quick ideas vs. detailed writing assistance Researchers : Basic lookups vs. complex analysis Business Apps : Optimize API costs in production environments Technical Highlights Harnessing n8n's LangChain nodes, this workflow demonstrates: Webhook triggers for instant chat handling Agent-based classification with strict output rules Conditional model selection for AI chains Integration of multiple LLM providers (Google Gemini, OpenAI) Scalable architecture for expanding model options Ideal for minimizing AI costs while maximizing response quality. No coding required—import, configure credentials, and deploy!