CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents
This paper proposes CADOC, an online algorithm for compressible context management in long-horizon agents. It schedules replacements of structured objects with compact Cards, preserving exact on-demand retrieval of original contents, and achieves a 40% reduction in input cost on average while maintaining task performance.
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