Monte Carlo Introduces Agent Observability for Production AI Systems

Monte Carlo has announced new Agent Observability capabilities that provide unified visibility across the full lifecycle of AI agents in production. The release is organized into four monitoring domains: context (validating the data agents rely on), performance (tracking cost, latency, and error rates), behavior (verifying agents follow intended workflows), and outputs (evaluating quality before and after deployment). New features include Agent Metric Monitors, Agent Trajectory Monitors for workflow validation, pre-production evaluations against golden datasets integrated into CI/CD pipelines, and a hosted OpenTelemetry deployment option in AWS. The release also expands platform support to Google BigQuery and AWS Athena.