Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX

This article discusses how Strands Agents SDK and Arize AX can be used to observe and evaluate AI agentic workflows, addressing key challenges in generative AI application development.

• AI agents are nondeterministic, producing different results with the same input
• Key challenges include unpredictable behavior, hidden failure modes, and complex tool integration
• Arize AX provides comprehensive observability features:
  • Tracing LLM operations
  • Automated quality monitoring
  • Prompt management
  • Real-time dashboards and alerts
• The solution demonstrates building a restaurant reservation agent using Strands SDK and instrumenting it with Arize AX

The article emphasizes that observability, automatic evaluations, and proactive monitoring are critical for deploying reliable AI agents in production environments.