google-agents-cli-observability

Set up tracing, logging, and monitoring for deployed ADK agents across Cloud Trace, BigQuery, and third-party platforms.

google ↓ 59k

Claude Code

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What it does

/google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows
/google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules
/google-agents-cli-adk-code — ADK Python API quick reference for writing agent code

Requirements & configuration

Choose the right level of observability based on your needs:
Ask the user which tier(s) they need — they can be combined. Cloud Trace is always on; the others are additive.
| MLflow | OTel traces to MLflow Tracking Server, span tree visualization | Medium (needs SQL backend) | Yes |

Configuration: NO_CONTENTLOGS_BUCKET_NAMEBQ_ANALYTICS_DATASET_ID

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

Set up tracing, logging, and monitoring for deployed ADK agents across Cloud Trace, BigQuery, and third-party platforms.

Source

Repository: https://github.com/google/agents-cli

google-agents-cli-observability FAQ

What does the google-agents-cli-observability skill do?

> This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code). /google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows /google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules

What does google-agents-cli-observability require?

Choose the right level of observability based on your needs: Ask the user which tier(s) they need — they can be combined. Cloud Trace is always on; the others are additive. | MLflow | OTel traces to MLflow Tracking Server, span tree visualization | Medium (needs SQL backend) | Yes | Configuration keys: NO_CONTENT, LOGS_BUCKET_NAME, BQ_ANALYTICS_DATASET_ID.

How do I install google-agents-cli-observability?

Run: npx -y skills add https://github.com/google/agents-cli --skill google-agents-cli-observability --agent claude-code — the source lives at github.com/google/agents-cli.

Maintain google-agents-cli-observability?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

[![google-agents-cli-observability on getagentictools](https://getagentictools.com/badge/skills/google-agents-cli-google-agents-cli-observability.svg)](https://getagentictools.com/skills/google-agents-cli-google-agents-cli-observability?ref=badge)

npx agentictools info skills/google-agents-cli-google-agents-cli-observability

The second line is the CLI lookup for this page — handy in READMEs and docs.