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Context Engineering | Compaction & Agent Memory for Automated Malware Analysis

SentinelLABS has conducted an evaluation of OpenAI's context compaction feature, a technique designed to manage and compress the history of interactions for long-running agent tasks. This pattern aims to reduce the volume of input tokens, thereby lowering costs and minimizing noise in the data processed by AI models, without sacrificing the quality of the output. The study focused on applying…