Are most LLM eval tools still too prompt-focused?

Reddit r/AI_Agents News

Summary

The author questions whether current LLM evaluation tools are too focused on isolated prompts rather than full workflows and agent interactions, noting that step-by-step accuracy can mask overall behavioral drift in production.

I have been evaluating a few LLM eval tools recently and something feels off. A lot of them seem optimized around isolated prompt testing, but the actual problems in production usually happen across workflows or longer interactions. Especially with agents, things can look fine step-by-step while the overall behavior slowly drifts. So far I’ve looked at tools like Confident AI, Langfuse, Braintrust, Arize, and Galileo. The difference I keep noticing is that some platforms seem much more prompt-centric, while others are trying to evaluate full workflows or interactions. Curious if others feel the same way
Original Article

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