---
format: "aidr-story-markdown/v1"
id: "b7cb8b2840188c7078459b8bf52f45518e4493b75c6a0db8b48c635ab6cb589a"
canonical_url: "https://aidr.today/b7cb8b28?lang=en"
title: "The agent evaluation playbook: Built-in, DeepEval, and AutoEval on Amazon Bedrock AgentCore Evaluations"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-10T22:35:03.000Z"
category: "Tools"
topics: ["amazon","agent","devtools","framework"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/the-agent-evaluation-playbook-built-in-deepeval-and-autoeval-on-agentcore/","https://aws.amazon.com/blogs/machine-learning/build-a-daily-dependency-watcher-with-langgraph-and-amazon-bedrock-agentcore-web-search/"]
summary: "The post describes how to evaluate agents deployed on Amazon Bedrock AgentCore using built-in, DeepEval, and AutoEval evaluators, and how to match each behavior that matters to the right evaluator at the right level."
---

# The agent evaluation playbook: Built\-in, DeepEval, and AutoEval on Amazon Bedrock AgentCore Evaluations

> [Open the canonical story](<https://aidr.today/b7cb8b28?lang=en>)

**Published:** 2026-11-10T22:35:03.000Z
**Category:** Tools
**Topics:** amazon, agent, devtools, framework

## Summary

The post describes how to evaluate agents deployed on Amazon Bedrock AgentCore using built\-in, DeepEval, and AutoEval evaluators, and how to match each behavior that matters to the right evaluator at the right level\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/the-agent-evaluation-playbook-built-in-deepeval-and-autoeval-on-agentcore/>)
- [Story source](<https://aws.amazon.com/blogs/machine-learning/build-a-daily-dependency-watcher-with-langgraph-and-amazon-bedrock-agentcore-web-search/>)