Progress AI Observability tackles token spend

This is less a product launch than a sharp justification for why AI observability has become core infrastructure, not optional telemetry.

• –The strongest point is practical: token cost is only manageable when you can attribute it by trace, span, model, team, and release.
• –The article correctly calls out the real budget killers in agentic systems: retries, context accumulation, and framework overhead.
• –Progress is positioning its platform as the answer by tying observability to predictable unit-based pricing, which matters because observability itself can become a cost trap.
• –For teams shipping production agents, this is a reminder that cost control is now a debugging problem, not just a finance problem.