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Add OpenClaw local and Mac mini setup skill
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name: agent-observability
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description: Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
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license: MIT
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metadata:
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author: devops-skills
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version: "1.0"
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---
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# Agent Observability
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Monitor AI agent behavior with logs, traces, metrics, and cost telemetry.
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## Track Core Signals
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- Request latency (p50/p95/p99)
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- Token usage (prompt/completion/cached)
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- Tool call success and failure rates
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- Cost per task and per customer
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- Hallucination and retry frequency
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## Implementation Pattern
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1. Add trace IDs to every user request.
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2. Capture each LLM call and tool call as child spans.
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3. Emit structured logs with model, temperature, and response status.
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4. Create SLOs for success rate and median response time.
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## Best Practices
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- Redact PII before exporting traces.
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- Keep a replayable request envelope for incident review.
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- Alert on abnormal token spikes and tool error bursts.
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## Related Skills
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- [alerting-oncall](../../observability/alerting-oncall/) - Alert workflows
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- [agent-evals](../agent-evals/) - Quality verification
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