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Langfuse says AI agents can be incorrect while system metrics stay green

In its example, an agent says that it made a refund but does not use the refund tool.

A Langfuse engineer says teams must test AI agents in a loop. They check records of use and get expert help. They mix AI judges with set rules. They stop a release if a test shows a problem. For teams that ship agents, tests must check the work of the agent.

Sources

  1. Evals for High-Stakes AI Agents — Doneyli De Jesus & Annabell Schäfer, Langfuse|AI Engineerfinance.biggo.com
AI MATTER · NEWS · AI MATTER · NEWS ·18 OCT2026

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