Google engineer walks through building an AI agent eval pipeline
What happened
On October 15, 2026, AI HOT reported that Google engineer Hugo Selbie explained how to build an AI agent evaluation pipeline with the open-source agent-eval toolkit, turning gut-feel checks into systematic evaluation. The walkthrough covers answer quality, tool calls, latency, token consumption and API cost, checking both the agent's answers and tool use and its runtime efficiency and resource spend. The report focuses on how to set up the pipeline and what it measures, and gives no specific evaluation results.
Written by AI from the coverage · updated 2 hours ago
Coverage
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- AI HOT · Tips & opinionsGoogle 工程师讲解如何系统评测 AI 智能体，告别凭感觉检查
Google 工程师 Hugo Selbie 讲解如何用开源 agent-eval toolkit 建立 AI 智能体评测流水线，同时检查答案质量、工具调用、延迟、token 消耗和 API 成本。
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