Microservice applications commonly rely on servicemesh circuit breakers to maintain resilience under dynamic workloads. In platforms such as Istio, circuit breaking is enforced through connection and request-queue limits, making performance highly sensitive to parameter choices that static configurations cannot adapt across trac phases. This paper proposes an SLO-aware reinforcement learning controller that adjusts Istio circuit-breaker parameters from runtime telemetry.