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This paper introduces a constrained mixed-strategy GroupDRO framework for equitable system-prompt selection, assigning weights to existing prompts to minimize worst-case information-quality loss across demographic groups and metrics. Experiments across five LLMs on bilingual medical and finance benchmarks show consistent reductions in worst-case quality drops while preserving average performance.