Arize AX adds native support for OpenTelemetry GenAI semantic conventions

Arize AX now natively supports OpenTelemetry GenAI semantic conventions, allowing applications and managed agent platforms that emit gen_ai.* telemetry to send traces directly through OTLP without requiring custom client-side conversion processors. During ingestion, AX maps supported GenAI attributes into structured OpenInference fields, covering operation and span types, model and provider details, messages, token usage, tool calls and results, request parameters, and retrieved documents, while retaining the original attributes and prioritizing explicit OpenInference fields when present. This normalization enables trace inspection, agent and workflow debugging, evaluations, token and cost analysis, and consistent observability across custom services and low-code or managed platforms such as Microsoft Agent Framework and CrewAI Studio. OpenInference remains suited to teams that control instrumentation and want its stable AI-focused schema and auto-instrumentation, while OpenTelemetry GenAI conventions are useful when frameworks already produce standard GenAI spans; AX supports both approaches within the same project.

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