ADK Observability Setup Guide
Cloud / InfraProduces an observability guide with runnable commands that walks step by step through setting up Cloud Trace, prompt-response logging, and BigQuery analytics for your cloud-deployed ADK agents.
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ADK Observability Setup Guide
This skill guides you through setting up observability for agents built with the Google ADK (Agent Development Kit) and deployed to the cloud. It kicks in on requests like "set up tracing," "monitor my ADK agent," "configure logging," "debug production traffic."
What it does
It guides you through setting up a three-layer monitoring architecture:
- Cloud Trace — distributed tracing with OpenTelemetry spans (latency, error flow), always on.
- Prompt-Response Logging — exports GenAI interactions to GCS and BigQuery; privacy-preserving default (
NO_CONTENT). - BigQuery Agent Analytics — writes structured agent events (LLM calls, tool usage) to BigQuery.
It also covers third-party platform integrations like AgentOps, Phoenix, and MLflow, the span hierarchy, the critical setup ordering (running infra single-project before deploy), and troubleshooting steps.
When to use it
after taking an ADK agent to production, when you need to observe traffic, audit LLM interactions, debug latency/errors, or collect logs for compliance (KVKK).
Output
A step-by-step Markdown setup guide: a recommended-layer table, a runnable agents-cli command block, a verification checklist, and a troubleshooting table.
Note: For deployment setup use google-agents-cli-deploy, and for API code patterns use google-agents-cli-adk-code.
How do I use this skill?
Upload the google-agents-cli-observability.zip you downloaded as-is — no packaging needed, the format is already correct (folder at root).
- Open Settings → Customize → Skills
- Upload → select the
google-agents-cli-observability.zipyou downloaded - Claude reads
SKILL.md; the name + description appear. Ready ✅
Scripts run in Anthropic's code-execution environment (sandbox) — not on your machine.