Helium: Workflow-Aware LLM Serving Gets 1.56x Speedup

Helium models agentic workloads as query plans with LLM invocations as first-class operators, adding proactive KV cache pre-warming for static prefixes and cost-based, cache-aware scheduling. Achieves 1.56x speedup over state-of-the-art agent serving systems with no model changes. If you're running multi-step agent pipelines with overlapping prompts and intermediate results, this architecture directly targets your inference costs.