Agents
Monte Carlo Launches Agent Observability: LLM-Based Eval on Warehouse Data, Agent Metric Monitors
Monte Carlo announced Agent Observability on March 12, 2026 with capabilities spanning pre-deployment evaluation, production monitoring, and continuous output quality assessment. Agent Metric Monitors track latency, token usage, duration, and error rates; Agent Evaluation Monitors run LLM-based or rule-based checks directly against source data in BigQuery and AWS Athena. Fills a critical gap for teams building agents on cloud data stacks who need integrated observability rather than a standalone tool.
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