Google's Agent Development Kit (ADK) provides tools for building complex agentic systems that can perform tasks autonomously. However, the flexibility of these systems introduces challenges like unpredictable behavior, unexpected costs, and security vulnerabilities. Datadog has integrated its LLM Observability to help monitor and manage these complexities, enabling automatic tracking of agent behavior, costs, and errors. This integration allows teams to visualize agent decisions and interactions without extensive manual setup, which is valuable given the unpredictable nature of these systems. Key risks associated with running ADK agents include the rapid pace of change in foundational models, potential cascading errors from low-quality outputs, and the possibility of infinite loops that can slow down operations. Datadog's observability tools help trace these issues by automatically logging agent actions, making it easier to identify problems. For instance, if an agent repeatedly selects the wrong tool, Datadog can pinpoint the exact moment that led to the error. This level of insight allows teams to address issues efficiently and avoid costly mistakes. Monitoring token usage and latency is another critical feature of Datadog's integration. Sudden spikes can indicate deeper issues within agentic applications. For example, if a planner agent retries a tool excessively, it can lead to significant latency and increased costs. Datadog highlights these patterns, providing teams with data to identify and resolve bottlenecks. Additionally, the platform offers built-in evaluations for assessing response quality, including detecting inaccuracies and potential security threats. Lastly, Datadog enables teams to conduct experiments by replaying production LLM calls in its Playground feature. This allows users to test different configurations and compare performance side-by-side. With detailed logging from ADK instrumentation, teams can reproduce issues and validate fixes before deploying changes. This streamlined approach simplifies monitoring and debugging for ADK systems, enhancing operational efficiency and response quality.