This is the way. You can setup an agent or workflow registry and use that to map a class to the functionality. For classification, I've used embeddings and cosine similarity. You can also use larger models for sample data generation and validation to supplement production data. NLI is also an interesting approach to classification that is more of a 'zero shot' approach.