Leveraging OpenRouter for Dynamic LLM Integration in n8n

This workflow enables seamless integration of any language model via OpenRouter, facilitating dynamic and configurable AI-driven chatbots in n8n. It starts with a webhook trigger that activates when a chat message is received, then dynamically sets the model, prompt, and session information. The workflow leverages LangChain nodes to manage chat interactions, including context memory and conversation flow. The core component is the ‘AI Agent’ node, which processes user prompts with the specified model, utilizing OpenRouter as the backend. Additional sticky notes provide configuration guidance and model options for users. This setup is especially useful for developers looking to create flexible AI chat solutions that can switch models easily and maintain conversation context across sessions.