Hello
I’ve been exploring DreamFactory for managing APIs, and it works really well for connecting databases and services quickly. 
But now I’m curious about how it might fit into AI-related projects. 
For example, when building an application that needs to call multiple AI services (like NLP, image recognition, or analytics APIs), managing authentication and endpoints can get complicated. 
DreamFactory seems like it could simplify this, but I’m not sure about the best setup.
One challenge I’m thinking about is how to securely expose and manage different AI service endpoints through DreamFactory without making the system harder to maintain.
Since AI tools often need to scale, I wonder whether there are best practices for combining DreamFactory’s auto-generated APIs with external AI services. It feels like a unique use case that goes beyond traditional database integration.
So, my question is: has anyone here tried using DreamFactory as a layer for AI-related workflows? If yes, what tips would you suggest for making it both secure and scalable? Checked Getting Started With DreamFactory | DreamFactory guide for reference.
I was also reading about how To Build AI Agents, which made me realize that managing multiple APIs efficiently is a big part of the process. Any insights or examples would be very helpful.
Thank you !!