Deterministic Zero‑LLM Context Warp Drive Cuts Agent Costs 70%
Context Warp Drive folds token histories deterministically on CPU, eliminating costly LLM summarization. In production Claude workloads it achieves ~90% cache‑read hit rates and cuts token‑processing costs by up to 72% versus traditional truncation or summarization. The open‑source engine works with Anthropic, OpenAI, and Gemini payloads.