arXiv Artificial Intelligence

An End-to-End Agent Auditing Engine

An End-to-End Agent Auditing Engine

Quick summary

arXiv:2608.07346v1 Announce Type: new Abstract: 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 designed for agent harnesses. $A^2E$ leverages our newl

Key takeaways

  • arXiv:2608.07346v1 Announce Type: new Abstract: 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.

Why it matters

“An End-to-End Agent Auditing Engine” exposes the compute, energy and supply-chain layer behind model competition. Capacity shifts can influence model costs, service availability and the ability of smaller companies to compete.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗