A decade of open source at DataRobot: from predictive AI to the agent lifecycle

Introduces syftr, an open-source tool for optimizing agent workflow design using multi-objective Bayesian optimization to find Pareto-optimal configurations, significantly reducing search compute and cost. Also introduces Token Pool, a Kubernetes-native API gateway layer that manages multi-tenant inference capacity using inference-native units (token throughput, KV cache, concurrency) and a debt-based fairness mechanism to prevent service degradation under load. The post also discusses the historical evolution of DataRobot's open-source contributions, from predictive AI to agent infrastructure, and outlines the next steps in connecting production telemetry to the optimization layer.