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.
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AI Agent Observability
3 articles connected to this topic.
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.