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Agent Evaluation Oscillation Between Benchmark Overfitting and Production Drift : Context Integrity Under Compression Pressure

PythonpytestpgvectorOpenAI API

Problem Breakdown

The core defect is that the agent's working memory is lossy by design: context budgets force compression, and the compression policy is blind to which information is load-bearing for the current task. Teams optimize agents against static eval suites; the agent (via prompt and tool tweaks) learns eval-specific patterns…

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