Building production-ready AI agents with Atlas Agent Engine and Arize AX

Arize AI has partnered with MongoDB as a launch partner for Atlas Agent Engine, combining MongoDB’s governed platform for building, deploying, and operating AI agents on real-time enterprise data with Arize AX’s trace-level observability, evaluation, and experimentation capabilities. The integration uses OpenTelemetry and OpenInference standards to send agent execution telemetry, including model calls, retrieval steps, tool calls, latency, token usage, prompts, and outputs, to Arize AX without custom instrumentation. Teams can inspect execution graphs, run online evaluations of outputs and agent paths, send failures for human review, create datasets for experiments, and use Arize’s Signal system to identify issues and propose fixes. Configuration involves creating an Arize API-key secret in Atlas Agent Engine, enabling trace export, entering an Arize Space ID and model or project ID, selecting the Arize OTLP endpoint, and keeping full-content export and always-on sampling enabled. The partnership aims to help organizations move agents from prototypes into production by providing governance, flexible model and framework support, and evidence-based workflows for diagnosing, testing, and improving agent behavior.

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