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Learn to build production-ready AI agents by integrating Google's Agent Development Kit (ADK) with Arize Phoenix for comprehensive observability and debugging. Explore the critical challenges of transitioning AI agents from prototype to production environments, focusing on reliability, tracing, and evaluation methodologies. Discover how to implement OpenTelemetry standards for agent instrumentation, enabling deep visibility into agent behavior and decision-making processes. Master the use of callbacks within ADK to capture detailed execution data and understand agent logic flow. Examine a practical Financial Advisor agent implementation to see real-world application of these concepts. Follow step-by-step installation and setup procedures for both ADK and Arize Phoenix integration. Experience live tracing demonstrations that reveal how agents process information and make decisions in real-time. Develop skills in error analysis and debugging techniques specific to AI agent architectures, learning to identify and resolve logic errors efficiently. Scale debugging capabilities through systematic evaluation frameworks that ensure agent reliability across diverse scenarios and use cases. Gain insights into production-level considerations for AI agent deployment, including monitoring, performance optimization, and quality assurance practices.
