Currently we use the approach in "Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap." This is slower than I'd like. Rosenbaum has a relevant discussion in his new textbook, and Nathan Kallus has a relevant paper, "Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding".