AI agent observability: use gateway host status before a failure
AI agent observability needs host context as well as traces. Use OpenClaw gateway host status to read uptime, CPU, memory, disk, runtime, and network details before a run fails.
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AI Agent Observability
4 articles connected to this topic.
AI agent observability: logs, traces, and recovery signals that matter
AI agent observability means tracking model calls, tool use, costs, traces, and recovery outcomes. See how OpenTelemetry-style signals help self-hosted agents fail visibly.
AI agent plugin health belongs in the control plane
AI agent plugin health turns extensions from hidden runtime risk into visible operator state, especially when agents rely on channel, provider, and tool plugins.
AI agent usage reporting: make token spend visible before it runs away
AI agent usage reporting turns token counts, model choice, and per-turn spend into visible feedback so teams can catch runaway context, retries, and expensive model paths early.