This article discusses the challenges of building reliable generative AI agents in production and introduces a combination of Databricks Mosaic AI Agent Framework and Arize AI's observability platform to streamline the agent lifecycle. The framework provides flexible development, unity catalog integration, MLflow-based lifecycle management, enterprise security, scalable serving, and more. Arize AI delivers comprehensive observability tools specifically designed for AI applications, including advanced monitoring, evaluation, tracing, and optimization capabilities. By combining these two platforms, users can achieve end-to-end visibility, automated quality assessment, and data-driven optimization, enabling the creation of production-ready high-quality agents. The article provides a technical implementation guide with step-by-step instructions on building an agent that can execute Python code with observability and quality evaluation built-in using Arize AX.