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TokenPilot reduces LLM agent costs via ingestion-aware compaction and lifecycle-aware eviction, achieving 61–87% cost reduction on PinchBench and Claw-Eval with competitive scores.
TokenPilot is a dual-granularity context management framework that reduces inference costs in long-horizon LLM sessions by stabilizing prompt prefixes and conservatively managing context segments, achieving 61-87% cost reduction on benchmarks while maintaining competitive performance.