"Datadog recently announced that its LLM Observability platform now provides automatic instrumentation for applications built with Google's Agent Development Kit (ADK), offering deeper visibility into the behavior, performance, cost, and safety of AI-driven agentic systems. The integration, highlighted on the Google Cloud Blog, aims to make it easier for developers and SRE teams to monitor and troubleshoot complex multi-step AI agent workflows without extensive manual setup or custom instrumentation."
"the non-deterministic nature of these systems can make it difficult to predict outputs, diagnose errors, or control costs. Datadog's new integration sinks signals from ADK applications into its observability system, allowing teams to visualize agent decision paths, trace tool calls, measure token usage and latency, and highlight unexpected loops or misrouted steps that may degrade performance or inflate API costs."
Datadog's LLM Observability platform now automatically instruments applications built with Google's Agent Development Kit (ADK), capturing detailed telemetry from agent workflows. The integration sends signals from ADK apps into Datadog, enabling visualization of agent decision paths, tracing of tool calls, and measurement of token usage and per-tool latency. The system highlights unexpected loops or misrouted steps that can degrade performance or increase API costs. Correlating agent telemetry with other system metrics enables faster troubleshooting and improved reliability. Automated tracing presents each agent's operations in a unified timeline, helping pinpoint incorrect tool selection and inefficient retry loops.
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