Evaluate AI agents systematically with Agent-EvalKit
AWS just open-sourced the evaluation framework every AI agent team needs—before shipping to production.
Why it matters
Agent-EvalKit addresses a critical gap in AI agent development: systematic evaluation infrastructure. As agents move from demos to production, enterprises need standardized tooling to validate behavior across coding assistants and SDKs. AWS's open-source release signals enterprise-grade agent tooling is now table stakes.
The key facts
8 to knowAgent-EvalKit is open-source (Apache 2.0)
Integrates with Claude Code, Kiro CLI, and Kilo Code
Six evaluation phases for agent validation
Compatible with Strands Agents SDK and Amazon Bedrock
Addresses agent evaluation as infrastructure gap
Provides six evaluation phases for agent testing
Works with Strands Agents SDK and Amazon Bedrock
Addresses evaluation infrastructure gap in agent workflows
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Agent-EvalKit is an open-source toolkit (Apache 2.0) that makes this evaluation infrastructure available by integrating with AI coding assistants, including Claude Code, Kiro CLI, and Kilo Code. This post walks through how Agent-EvalKit works across its six evaluation phases, using a travel…