I think that Generative AI applications is a config management problem. Think Prompts X Chains X LLMs. Your prompts wont work across everything and everything w

I think that Generative AI applications is a config management problem. Think Prompts X Chains X LLMs. Your prompts wont work across everything and everything will break on model change. Coding this into ur classes is what everyone does. I think the better answer is to declaratively pull out the prompts X chains as jsonnet code. Call it trauma & learnings from the K8s/Borg world. We have formats that have evolved as a result of millions of lines of code wrangling clusters/terraform/etc - so we decided to build a SDK over it. that is what we did here - https://github.com/arakoodev/EdgeChains/releases/tag/0.2.0 https://github.com/arakoodev/EdgeChains/releases/tag/0.2.0 EdgeChains is basically Generative AI prompt engineering modeled as config management.