A2E: New End-to-End Evaluation Engine for Agent Harnesses
A2E (Agent Auditing Engine) has been developed by researchers as a comprehensive evaluation tool aimed at systematically analyzing agent harnesses, which are crucial for implementing agents that utilize large language models (LLMs). This engine employs the newly introduced Agent Task Protocol (ATP) to facilitate the swift incorporation of evaluation tasks across various harnesses. A2E utilizes an automatically instrumented Monitor to capture and produce standardized execution traces during testing. In the evaluation phase, it measures harness performance with a range of multidimensional metrics that extend beyond mere accuracy. This research tackles the challenge of efficiently creating a thorough evaluation pipeline for the rapidly changing harness landscape. The paper can be found on arXiv with the identifier 2608.07346.
Key facts
- A2E is an end-to-end evaluation engine for agent harnesses.
- It introduces the Agent Task Protocol (ATP) for rapid integration of evaluation tasks.
- A2E uses an automatically instrumented Monitor to capture standardized execution traces.
- The evaluation stage uses multidimensional metrics to assess harness capabilities.
- The work is motivated by the rapid advancement of large language models (LLMs).
- The paper is available on arXiv with identifier 2608.07346.
- The engine aims to address the challenge of building systematic evaluation pipelines.
- The approach goes beyond correctness alone in evaluating harnesses.
Entities
Institutions
- arXiv