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An Empirical Cost Attribution of Context-Compression Gateways in Multi-Turn Coding Agents
Context compression is widely proposed as a way to cut the token bill of LLM coding agents, and public benchmarks report that aggressive compression preserves task-solving quality. These two facts do not imply the third one commonly assumed: that compressing file reads saves money in a real multi-tu
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