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Systematic evaluation helps improve AI agent reliability and performance.
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Evaluate AI agents systematically with Agent-EvalKit
Agent-EvalKit is an open-source toolkit that enables systematic evaluation of AI agents. It integrates with AI coding assistants like Claude Code, Kiro CLI, and Kilo Code. The toolkit supports six evaluation phases demonstrated using a travel research agent example.
AWS Machine Learning Blog
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Businesses can better assess and enhance AI agent capabilities using this toolkit.
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Teams building AI agents should consider using Agent-EvalKit for thorough evaluation.
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Sources in this thread (1): AWS Machine Learning Blog
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Evaluate AI agents systematically with Agent-EvalKit
Agent-EvalKit is an open-source toolkit that enables systematic evaluation of AI agents. It integrates with AI coding assistants like Claude Code, Kiro CLI, and Kilo Code. The toolkit supports six evaluation phases demonstrated using a travel research agent example.
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Evaluate AI agents systematically with Agent-EvalKit
Agent-EvalKit is an open-source toolkit that enables systematic evaluation of AI agents. It integrates with AI coding assistants like Claude Code, Kiro CLI, and Kilo Code. The toolkit supports six evaluation phases demonstrated using a travel research agent example.