Integrating LLMs with OpenRouter in n8n

This workflow enables seamless integration of various Language Learning Models (LLMs) using OpenRouter within n8n, automating AI-driven chat responses. When a chat message is received via a webhook, the workflow dynamically sets up model parameters, sends prompts to a selected LLM, and maintains conversation context through memory buffering. Key nodes include trigger, memory, model selection, and AI agent, creating a flexible and fully customizable AI chatbot system. Practical use cases include deploying AI chatbots, automating customer support, or any scenario requiring dynamic LLM interactions.