Syftr: An Open-Source Framework for Automating Generative AI Workflow Optimization
2025-05-31
Building effective generative AI workflows faces a combinatorial explosion of choices. Syftr is an open-source framework that uses multi-objective Bayesian optimization to automatically identify Pareto-optimal workflows across accuracy, cost, and latency constraints. Syftr efficiently searches a vast configuration space to find workflows that optimally balance accuracy and cost, achieving significant results on the CRAG Sports benchmark, reducing cost by nearly two orders of magnitude. Syftr supports various components and algorithms and is compatible with other optimization tools, providing an efficient and scalable approach to building generative AI systems.
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