Evaluating Deep Agents using LangSmith on AWS

Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore,

In this post, we introduce Amazon Bedrock AgentCore Evaluations, a fully managed service for assessing AI agent performance across the development lifecycle. We walk through how

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<p>Amazon Bedrock AgentCore Evaluations solves a real problem: you build agents on LangGraph, your teammate uses LlamaIndex, and the platform team is experimenting with the OpenAI

arXiv:2605.01604v1 Announce Type: new Abstract: Existing evaluation frameworks for large language models -- including HELM, MT-Bench, AgentBench, and BIG-bench -- are designed for