Building Trustworthy AI Agents: A Practical Framework for Evaluation, Observability, and Monitoring

In the rapidly evolving landscape of large language model (LLM) applications, robust evaluation, monitoring, and tracing have become essential for building reliable, performant, and cost-effective AI