Observe, evaluate, and continuously improve production AI agents
Agent Observability helps you understand, evaluate, and improve production AI agents. Production agents need the same scrutiny as the services they touch. Replay conversations, evaluate responses, measure experiments, and detect regressions before they impact users while tracking latency, token usage, cost, and quality over time.
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Learn moreUnderstand every agent decision
Replay prompts, tool calls, and responses to see exactly how your agent reached an answer and accelerate debugging
Catch quality drift before users do
Run live evaluations and guards to detect hallucinations, unsafe output, and performance regressions as they happen
Optimize cost and performance
Track latency, token usage, and spend by agent, run, and model to identify regressions before they impact budgets or SLOs
Trusted by everyone from startups to the Fortune 500
Why use Agent Observability in Grafana Cloud?
Agent Observability tells you whether your agents are actually doing a good job. Observe every run. Evaluate every response. Improve every release. Agent Observability brings together production telemetry, conversation replay, evaluations, and experiments so you can continuously improve AI agents using real production data.
Resolve agent failures faster
Replay every conversation to understand prompts, tool calls, responses, and why an agent reached its answer
Correlate agent behavior with telemetry including metrics, logs, traces, and deployments to accelerate root cause analysis
Debug production issues with complete context so teams spend less time reproducing failures and more time fixing them
Protect quality before customers notice
Run online evaluations on live traffic to continuously measure agent quality in production
Detect hallucinations, unsafe output, and policy violations with configurable evaluators and guards
Identify regressions early by tracking quality across prompts, models, and agent versions before they impact users
Improve agent behavior with production data
Turn production conversations into better test cases by capturing real-world failures and edge cases
Compare prompts, models, and tool changes with experiments before deploying updates
Optimize quality, latency, and cost over time by grounding every improvement in production telemetry
Real stories from real customers
“Before [Grafana Cloud's Agent Observability], everything that happened after the LLM made a decision was a black box. We implemented the preview in a day, and within two days in production, the difference was amazing.”
Philip PencalHead of Site Reliability Engineering, Alter Domus