Observability & Monitoring
Tracing with OpenTelemetry, token-cost FinOps, production metrics, and the tooling that lets you see what your agents are actually doing.
Articles
Agent observability: seeing what your AI actually does
Tracing, metrics and cost control for autonomous agents — the five things to measure and how OpenTelemetry became the de facto standard for agent observability.
Read →Agent cost control: FinOps for autonomous AI
Why cost is a first-class signal for agents, what actually drives the bill, and how token tracking, loop detection and budgets keep an autonomous system affordable.
Read →The production metrics that tell you an agent is working
Six metrics — completion, accuracy, hallucination, latency, cost and satisfaction — that turn an agent from a black box into a system you can actually run.
Read →Tracing AI agents with OpenTelemetry
How to instrument autonomous agents with OpenTelemetry's GenAI conventions so every reasoning step, tool call and cost is captured in one portable trace.
Read →Ship agents you can trust
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