The question
Managing the dependencies in a project that relies on multiple generative AI tools is becoming a nightmare. Does anyone have advice on how to keep the software ecosystem stable when the underlying models and APIs update so frequently? I am constantly breaking my integration points. How do you guys handle versioning and validation for these systems without going insane? Are there specific tools that help with observability in an AI-heavy architecture?
