Summary from the original article

Silent failures in AI agents are the cases where everything looks successful: the request returns HTTP 200, no exception is raised, no span is in error, and yet the answer is wrong, incomplete or built on a bad tool result. A classic dashboard stays green. This is the main trap when operating agents. This article offers a method to detect a wrong answer: trace every agent step, separate technical errors from content errors, then attach an evaluation result to the…
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Upgrade this serverSilent failures in AI agents are the cases where everything looks successful: the request returns HTTP 200, no exception is raised, no span is in error, and yet the answer is wrong, incomplete or built on a bad tool result. A classic dashboard stays green. This is the main trap when operating agents. This article offers a method to detect a wrong answer: trace every agent step, separate technical errors from content errors, then attach an evaluation result to the trace. Attribute names come from the OpenTelemetry GenAI specification, read at the source. They apply to any OTLP backend…
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