Observability at Scale: Mastering ADK Callbacks for Cost, Latency, and Auditability

Observability at Scale: Mastering ADK Callbacks for Cost, Latency, and Auditability AI orchestrators receive significant attention; however, when deployments become latent and costly, developers often overlook a critical capability: ADK callback hooks. The design patterns and best practices of callback hooks enable developers to refactor logic from agents to callback hooks to add observability, reduce cost and latency, and modify session state dynamically. This post explores how to create callback hooks at various stages of an ADK agent to demonstrate the following design patterns: Logging and monitoring performance Managing dynamic state Modifying requests and responses Skipping steps conditionally Demo Overview The orchestrator routes the project description to sequentialEvaluationAgent. The sequentialEvaluationAgent consists of project, anti-patterns, decision, recommendation, audit, upload, merger, and email subagents. In the project, anti-patterns, decision, recommendation, and me