Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
📰 ArXiv cs.AI
Learn to adapt the interface, not the model, for deterministic LLM agents using Life-Harness, a lifecycle-aware runtime harness
Action Steps
- Implement Life-Harness to adapt the runtime harness at runtime
- Use lifecycle-aware techniques to improve model--environment interface matching
- Test and evaluate the performance of LLM agents with adapted interfaces
- Apply Life-Harness to various deterministic domains to assess its generalizability
- Compare the performance of LLM agents with adapted interfaces to those with updated model parameters
Who Needs to Know This
AI researchers and engineers working on LLM agents can benefit from this approach to improve agent performance in deterministic domains
Key Insight
💡 Adapting the runtime harness can improve LLM agent performance in deterministic domains without updating model parameters
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🤖 Adapting the interface, not the model, for deterministic LLM agents with Life-Harness 🚀
Key Takeaways
Learn to adapt the interface, not the model, for deterministic LLM agents using Life-Harness, a lifecycle-aware runtime harness
Full Article
Title: Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
Abstract:
arXiv:2605.22166v1 Announce Type: new Abstract: LLM agents are shaped not only by their language models, but also by the runtime harness that mediates observation, tool use, action execution, feedback interpretation, and trajectory control. While existing agent adaptation methods mainly update model parameters, many failures in deterministic, rule-governed domains stem from mismatches at the model--environment interface. We propose Life-Harness, a lifecycle-aware runtime harness that improves fr
Abstract:
arXiv:2605.22166v1 Announce Type: new Abstract: LLM agents are shaped not only by their language models, but also by the runtime harness that mediates observation, tool use, action execution, feedback interpretation, and trajectory control. While existing agent adaptation methods mainly update model parameters, many failures in deterministic, rule-governed domains stem from mismatches at the model--environment interface. We propose Life-Harness, a lifecycle-aware runtime harness that improves fr
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