AI product
Arize AX is an AI engineering platform from Arize AI for observing and evaluating AI agents, including voice agents. It provides a unified session and trace view that combines audio, transcripts, latency metrics, tool calls, and evaluation results, allowing failures such as dead air, interruptions, transcription errors, and incorrect tool actions to be investigated together. The platform supports tracing real-time audio with OpenInference semantic conventions, audio-native evaluations for factors such as sentiment, latency, interruptions, and task success, and agent experiments that test fixes against failed traces. It is available through the Arize AX product interface and a terminal-based setup.
3 uses taken from transcripts — each links to the moment in the video.
Arize AX provides a unified session and trace view for voice agents, combining audio, transcripts, latency metrics, tool calls, and evaluation results to debug failures. It also supports audio-native evaluations and agent experiments.
Receives and displays traces, runs evaluations, stores datasets and annotations, supports experiments, and monitors production applications.
Receives and visualizes traces from the Wonder Toys AI application, including agent requests, inputs, outputs, tool calls, metadata, statuses, and errors.
3 in the library.