Agent Harness开始自动修复：系统级Debug最高提升18.4点
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90
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Merged summary
TL;DR - HarnessFix diagnoses and repairs system-level flaws in LLM agent harnesses by linking failed execution traces to editable components. Across four benchmarks, it improved task completion rates by 6.3–18.4 percentage points over initial harnesses.
- HTIR reconstructs data/control flow and maps failures to prompts, tool schemas, controllers, logging hooks, or validators.
- Diagnoses recurring flaws across execution, tools, memory, lifecycle, observability, verification, and governance.
- Scoped repair operators constrain patches and require validation for targeted improvements and regressions.
- Repairs developed with GPT-5 mini transferred across four other model families, yielding gains of 5.5–9.5 points on GAIA.
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Agent Harness开始自动修复：系统级Debug最高提升18.4点
Public signals
N/A
TL;DR - HarnessFix diagnoses and repairs system-level flaws in LLM agent harnesses by linking failed execution traces to editable components. Across four benchmarks, it improved task completion rates by 6.3–18.4 percentage points over initial harnesses.
- HTIR reconstructs data/control flow and maps failures to prompts, tool schemas, controllers, logging hooks, or validators.
- Diagnoses recurring flaws across execution, tools, memory, lifecycle, observability, verification, and governance.
- Scoped repair operators constrain patches and require validation for targeted improvements and regressions.
- Repairs developed with GPT-5 mini transferred across four other model families, yielding gains of 5.5–9.5 points on GAIA.