Grafana Labs shares a phased approach to building observability and trust infrastructure for AI agents, based on their experience scaling Grafana Assistant. The guide covers four phases: instrumenting live traffic for engineering metrics and conversation visibility, setting up LLM-judge and deterministic evaluators to monitor agent quality, building robust test suites from production failures, and running offline experiments with CI/CD integration. The Grafana Agent Observability SDK and Grafana Cloud platform are used throughout, enabling dashboards, alerting, experiment tracking, and agent versioning to support safe iteration on non-deterministic agentic workloads.
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