AI Dynamic Routing for Optimal Language Model Responses

This n8n workflow is designed to intelligently route user queries to the most suitable AI language model, ensuring the best possible response based on the content and purpose of the query. The workflow begins with a webhook trigger that activates when a chat message is received. The message is first processed by a Routing Agent, which analyzes the query and selects an appropriate model from a predefined list, including options like GPT-4, Claude, LLaMA, and more. Depending on the decision, the selected model then generates a response. The workflow includes a structured output parser to interpret the model’s reply and an auto-fixing node to ensure the response meets quality standards before delivering it back to the user. This setup is highly useful for creating dynamic, context-aware AI chat systems that can adapt to different user needs and provide tailored, accurate responses in real-time.