Dynamic AI Model Router for Query Optimization with OpenRouter

The Dynamic AI Model Router is an intelligent workflow that analyzes incoming user queries via a Chat Trigger and uses an AI Agent to select the most suitable large language model (LLM) from options like Claude 3.7 Sonnet, Perplexity/Sonar, or GPT-4o Mini. It evaluates query purpose—such as coding, reasoning, or web searches—using model metadata on capabilities, then outputs structured JSON with the prompt and chosen model for execution.

Key benefits include automatic model routing for improved efficiency, resource optimization by avoiding premium models for simple tasks, and modular extensibility for integration into RAG or multi-agent systems. This reduces costs, enhances response quality, and scales effortlessly with new models or logic.

Ideal use cases: Powering chatbots, developer tools, knowledge bases, or HR query systems where dynamic AI selection boosts productivity. Setup involves configuring the Chat Trigger webhook, AI Agent prompts, and OpenRouter credentials for seamless deployment.