The Transcript Looked Fine. The Call Wasn't. — Debugging Voice Agents, Arize

תקציר מקורי באנגליתThe transcript says the agent corrected itself. The audio says it refunded the wrong order. Fuad Ali, senior product manager at Arize AI, shows why voice agents are one of the hardest categories to debug: latency, turn-taking and transcription errors are invisible in a text log. Using a refund call that looks fine in the transcript but had 2.4 seconds of dead air, an interruption and a refund on the wrong order, he shows what you need instead. That means audio, transcript and trace in one session view, OpenInference semantic conventions for real-time audio across providers, and evals that run on the audio itself. He closes with the observe, evaluate, improve loop and agent experiments that test fixes against failed traces. In this talk: • Voice failure modes text logs miss: latency, barge-