Preprint Open access
Adapting Context Compression for Long-Horizon Agents with Counterfactual Continuations
Long-horizon agents require context compression to manage growing interaction histories. Compression quality, however, is ultimately determined by downstream execution. Existing prompt-adaptation methods infer compression errors by comparing full-context and compressed trajectories. Such comparisons cannot isolate indi …