Definition
An experimental system that uses AI agents to write a custom LLM serving stack for each deployment.
An agentic-synthesis serving framework using a planner and trio of specialized agents — implementer, accuracy judge, performance evaluator — to generate bespoke LLM runtimes tailored to specific models, hardware, and workloads.