Auto-switch LLMs for customer complaint handling

# Chatbot for customer complaints with dynamic LLM switching and response validation

This automation scenario enables building an intelligent system for handling customer complaints via chat, where responses are generated using different LLMs and validated against quality criteria. If validation fails, the system automatically switches to another model. Ideal for testing LLM performance or creating a resilient, self-correcting chatbot.

## Who it´s for
- AI agent developers testing multiple LLMs
- Support teams automating complaint handling
- SaaS products with multi-LLM architecture and fallback logic

## What the automation does
- Triggers on incoming chat messages
- Selects an OpenAI model based on a numeric index
- Generates a response using LangChain within n8n
- Validates output for politeness, empathy, and problem resolution
- On validation failure, increments the model index and retries
- Enables real-time A/B testing of different LLMs in live support scenarios

## What´s included
- Ready-to-use n8n workflow
- Dynamic LLM selection and fallback logic
- Integrations with OpenAI API and chat interface
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n account
- OpenAI API access with valid key
- Configured chat system to receive incoming messages

## Benefits and outcomes
- Improved response quality through automated validation
- Resilience: fallback to alternative models if one fails
- Real-world testing of LLM performance across use cases
- Reduced support load while maintaining high service standards
- Faster complaint resolution without quality trade-offs
- Cost efficiency by defaulting to lighter models when possible

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat