Syftr is an open-source framework designed to optimize generative AI workflows by automatically identifying Pareto-optimal configurations that balance accuracy, cost, and latency. Utilizing multi-objective Bayesian Optimization, syftr allows AI teams to efficiently explore workflow options, significantly reducing the complexity and computational cost of evaluating numerous configurations. The framework supports modular customization and integrates with various open-source libraries to enhance AI workflow design.