What problem does it solve? Deployed ADK agents are hard to debug and audit without visibility into LLM calls, tool executions, and prompt-response content. This Skill guides you through enabling Cloud Trace, prompt-response logging, BigQuery Agent Analytics, and third-party observability platforms so you can monitor production agent traffic. ## Core Features & Use Cases - Cloud Trace Setup: Explains the OpenTelemetry span hierarchy (invocation, agent_run, call_llm, execute_tool) and per-deployment configuration for Agent Runtime, Cloud Run, GKE, and local development. - Prompt-Response Logging: Covers Terraform-provisioned GCS buckets, BigQuery log sinks, privacy modes via OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, and verification commands. - BigQuery Agent Analytics & Third-Party Integrations: Details the opt-in BQ analytics plugin and compares AgentOps, Phoenix, MLflow, Weave, and other platforms with setup trade-offs. - Use Case: After deploying an ADK agent to Agent Runtime, use this Skill to provision telemetry infrastructure with agents-cli infra single-project, verify traces in Cloud Console, and troubleshoot missing prompt-response data. ## Quick Start Set up Cloud Trace and prompt-response logging for my deployed ADK agent and show me how to verify telemetry data is flowing.