Dynamic Multi-Model Chatbot for Customer Support

This workflow creates a dynamic chatbot system that switches between multiple language models (LLMs) based on user interactions and predefined logic. It starts with a webhook trigger for chat messages, then dynamically selects the appropriate LLM from a list using an index, and processes the user input through various models. The workflow can handle errors, generate tailored responses to customer complaints, and evaluate the quality of responses using sentiment analysis. This setup is ideal for customer support systems requiring flexible AI responses and continuous model selection to optimize conversation quality.