AgentX - AI Agent evaluation framework
Summary
AgentX is an AI agent evaluation framework that helps pinpoint issues and fix them with one click.
Similar Articles
An Empirical Study of Automating Agent Evaluation
This paper introduces EvalAgent, a system that automates the evaluation of AI agents by encoding domain-specific expertise, addressing the limitations of standard coding assistants in this task. It also presents AgentEvalBench, a benchmark for testing evaluation pipelines, and demonstrates significant improvements in evaluation reliability.
QAgent
QAgent automates quality assurance for AI agents by scoring correctness, detecting hallucinations against ground truth, verifying policy adherence, and benchmarking RAG to prevent bad responses from reaching customers.
AgentR 3.0
AgentR 3.0 is a hiring evaluation tool designed to address challenges in the AI cheating era, launched on ProductHunt.
AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI Agents
AgentAudit is an open, extensible framework for evaluating the full lifecycle of AI agents across capability, grounding, security, and behavioral dimensions, enabling precise failure attribution and highlighting trustworthiness differences among various language models.
Agnost AI
Agnost AI is a product designed to catch failures in AI agent evaluations that traditional methods might miss.