Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures
Existing evaluations often reduce agent failures to system-level outcomes, obscuring where the fault originated and which intervention would improve the agent system. This creates a repair-assignment problem: the same visible failure may call for model post-training, harness engineering, environment redesign, or benchmark repair depending on its source. Because agent behavior emerges from interactions among models, harnesses, users, tools, memory, and environments, outcome-level labels are often
Record details
Published: 29 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 5 August 2026
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ethics.ai (29 July 2026), “Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures,” evidence record 16234, https://ethics.ai/record/16234 (originally published by HuggingFace Daily Papers).
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