LLM to generate router configuration

[rootfs]

We have a rapidly expanding configurations, it is likely a usability issue in the long term. We can keep up the documentation update but a more AI native solution is to use LLM to generate the configuration manifests.

A few actions for reviews:

• The manifest dataset. The router and semantic cache configurations, integration profiles, used in best practices as well as e2e.
• Training process. The model is to be trained for each releases.
• Validation. The model generated manifests must be validated before use.
• Deployment. Upon router deployment, the model is used to generate the configurations during initialization.

Anything else?