Agent behavior shifts in production without warning. Prompts that worked yesterday hallucinate today, models drift, costs spike, and a single configuration change can ripple through every conversation a user has with your product. AgentControl is how teams stay in front of that.

AgentControl gives developers and product teams a single place to change how an agent behaves, in under 200 milliseconds, targeted to specific users, and governed end to end. It brings together everything you need to run agents safely in production:

- Offline Evals to benchmark prompt and model variants against curated test datasets before anything ships, with LLM judges scoring each candidate.

- Guarded Rollouts for new agent versions, with automatic rollback triggered by quality, cost, or latency signals.

- Online Evals that score agent outputs continuously in production against the quality metrics your team defines.

- AI Insights to track how changes to prompts, models, and parameters move cost, quality, latency, and business outcomes over time.

- Experimentation with A/B and multi-armed bandit tests on live traffic, scored by LLM judges and business metrics.

- Agent Graphs to model, monitor, and govern multi-agent systems as a single unit.

Read more in our launch announcement, Introducing AgentControl, or visit the AgentControl product page to get started.