Smart chat routing between Gemini and GPT models based on query complexity

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!