There are many Agentic creation frameworks ranging from CrewAI to kagent to langchain and several others which are typically written in Python or JS. If you're an engineer working on Kubernetes,
There are two types of Models/LLMs you see in today's Agentic world:
1. "SaaS-based Models", which are Models that are managed for you (Claude, Gemini, GPT, etc.)
2.
Workloads are meant to be managed in a declarative way within Kubernetes. When it comes to thinking about what declarative means in this case, it's "tell me what to do,
Without a good understanding of how Services are performing, you'll never truly know what's important to focus on when optimizing environments, and that's a make or break
