Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents

LIFE-HARNESS improves frozen LLM agents by adapting their runtime harness instead of updating model weights. It evolves from training failures into reusable interventions across four lifecycle layers—environment contract, procedural skill, action realization, and trajectory regulation. This approach targets reusable environment structure to boost performance without retraining the core model.

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