19 AgentOps Tools for Monitoring AI Activity, Issues, and Costs
CIO, Thursday, July 16th, 2026
Reviews 19 AgentOps platforms for observing AI agent performance, cost, and failure modes in production.
Agent observability, or AgentOps, has become essential as enterprises push AI agents and LLMs into production.
The article explains that these tools track agent performance, resource consumption, spend, and failure modes such as hallucinations and model drift.
Many products adapt familiar DevOps monitoring patterns to AI-specific problems like non-deterministic LLM behavior and the need for detailed prompt logging.
It profiles 19 platforms spanning purpose-built entrants such as AgentOps.ai and Braintrust alongside established observability vendors like Datadog and Dynatrace. Each is framed around a different organizational priority, from rapid iteration to enterprise-scale stability and cost control.