A^2E : An End-to-End Agent Auditing Engine

With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of domains. The fast-evolving harness ecosystem has also made rigorous capability evaluation increasingly important. However, efficiently building an end-to-end, systematic, and comprehensive evaluation pipeline remains a significant challenge. To address this challenge, we introduce A^2E (Agent Auditing Engine), an end-to-end evaluation engine desig

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ethics.ai (9 August 2026), “A^2E : An End-to-End Agent Auditing Engine,” evidence record 18394, https://ethics.ai/record/18394 (originally published by HuggingFace Daily Papers).

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