TokenPilot: Cache-Efficient Context Management for LLM Agents

TokenPilot is a newly proposed context management framework designed to optimize inference costs for LLM agents during long-horizon sessions. It introduces a dual-granularity approach with Ingestion-Aware Compaction for stabilizing prompt prefixes and Lifecycle-Aware Eviction for efficient context segment management, achieving cost reductions of 61% and 56% in isolated mode, and 61% and 87% in continuous mode on benchmarks PinchBench and Claw-Eval. This framework is significant for practitioners as it enhances cache efficiency while maintaining performance, and is integrated into the LightMem2 library for practical implementation.