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ADK Observability Guide
Scaffolded project? Cloud Trace and prompt-response logging are pre-configured by Terraform. See references/cloud-trace-and-logging.md for infrastructure details, env vars, and verification commands.
No scaffold? Follow the ADK docs links below for manual setup. For production infrastructure, scaffold with /adk-scaffold.
Reference Files
| File | Contents |
|---|
references/cloud-trace-and-logging.md | Scaffolded project details — Terraform-provisioned resources, environment variables, verification commands, enabling/disabling locally |
references/bigquery-agent-analytics.md | BQ Agent Analytics plugin — enabling, key features, GCS offloading, tool provenance |
Observability Tiers
Choose the right level of observability based on your needs:
| Tier | What It Does | Scope | Default State | Best For |
|---|
| Cloud Trace | Distributed tracing — execution flow, latency, errors via OpenTelemetry spans | All templates, all environments | Always enabled | Debugging latency, understanding agent execution flow |
| Prompt-Response Logging | GenAI interactions exported to GCS, BigQuery, and Cloud Logging | ADK agents only | Disabled locally, enabled when deployed | Auditing LLM interactions, compliance |
| BigQuery Agent Analytics | Structured agent events (LLM calls, tool use, outcomes) to BigQuery | ADK agents with plugin enabled | Opt-in (--bq-analytics at scaffold time) | Conversational analytics, custom dashboards, LLM-as-judge evals |
| Third-Party Integrations | External observability platforms (AgentOps, Phoenix, MLflow, etc.) |
Ask the user which tier(s) they need — they can be combined. Cloud Trace is always on; the others are additive.
Cloud Trace
ADK uses OpenTelemetry to emit distributed traces. Every agent invocation produces spans that track the full execution flow.
Span Hierarchy
invocation
└── agent_run (one per agent in the chain)
├── call_llm (model request/response)
└── execute_tool (tool execution)
Setup by Deployment Type
| Deployment | Setup |
|---|
| Agent Engine | Automatic — traces are exported to Cloud Trace by default |
| Cloud Run (scaffolded) | Automatic — otel_to_cloud=True in the FastAPI app |
| GKE (scaffolded) | Automatic — otel_to_cloud=True in the FastAPI app |
| Cloud Run / GKE (manual) | Configure OpenTelemetry exporter in your app |
| Local dev | Works with make playground; traces visible in Cloud Console |
View traces: Cloud Console → Trace → Trace explorer
For detailed setup instructions (Agent Engine CLI/SDK, Cloud Run, custom deployments), fetch https://google.github.io/adk-docs/integrations/cloud-trace/index.md.
Prompt-Response Logging
Captures GenAI interactions (model name, tokens, timing) and exports to GCS (JSONL), BigQuery (external tables), and Cloud Logging (dedicated bucket). Privacy-preserving by default — only metadata is logged unless explicitly configured otherwise.
Key env var: OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT — set to NO_CONTENT (metadata only, default in deployed envs), true (full content), or false (disabled). Logging is disabled locally unless LOGS_BUCKET_NAME is set.
For scaffolded project details (Terraform resources, env vars, privacy modes, enabling/disabling, verification commands), see references/cloud-trace-and-logging.md.
For ADK logging docs (log levels, configuration, debugging), fetch https://google.github.io/adk-docs/observability/logging/index.md.
BigQuery Agent Analytics Plugin
Optional plugin that logs structured agent events to BigQuery. Enable with --bq-analytics at scaffold time. See references/bigquery-agent-analytics.md for details.
Third-Party Integrations
ADK supports several third-party observability platforms. Each uses OpenTelemetry or custom instrumentation to capture agent behavior.
| Platform | Key Differentiator | Setup Complexity | Self-Hosted Option |
|---|
| AgentOps | Session replays, 2-line setup, replaces native telemetry | Minimal | No (SaaS) |
| Arize AX | Commercial platform, production monitoring, evaluation dashboards | Low | No (SaaS) |
| Phoenix | Open-source, custom evaluators, experiment testing | Low | Yes |
| MLflow | OTel traces to MLflow Tracking Server, span tree visualization | Medium (needs SQL backend) | Yes |
| Monocle | 1-call setup, VS Code Gantt chart visualizer | Minimal | Yes (local files) |
| Weave | W&B platform, team collaboration, timeline views |
Ask the user which platform they prefer — present the trade-offs and let them choose. For setup details, fetch the relevant ADK docs page from the Deep Dive table below.
Troubleshooting
| Issue | Solution |
|---|
| No traces in Cloud Trace | Verify otel_to_cloud=True in FastAPI app; check service account has cloudtrace.agent role |
| Prompt-response data not appearing | Check LOGS_BUCKET_NAME is set; verify SA has storage.objectCreator on the bucket; check app logs for telemetry setup warnings |
| Privacy mode misconfigured | Check OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT value — use NO_CONTENT for metadata-only, false to disable |
Deep Dive: ADK Docs (WebFetch URLs)
For detailed documentation beyond what this skill covers, fetch these pages:
| Topic | URL |
|---|
| Observability overview | https://google.github.io/adk-docs/observability/index.md |
| Agent activity logging | https://google.github.io/adk-docs/observability/logging/index.md |
| Cloud Trace integration | https://google.github.io/adk-docs/integrations/cloud-trace/index.md |
| BigQuery Agent Analytics | https://google.github.io/adk-docs/integrations/bigquery-agent-analytics/index.md |
| AgentOps | https://google.github.io/adk-docs/integrations/agentops/index.md |
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