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bayescausal

davccavalcante / bayescausal

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Calibrated incident root cause inference for TypeScript: declarative Bayesian networks with exact and approximate inference and the do-operator, zero runtime dependencies.

nodejstypescriptmcpincident-responsebayesian-networkedgecalibrationopenaibayesianzero-dependencysreobservabilitycausal-inferencediagnosisbelief-propagationroot-cause-analysisllmanthropicprobabilistic-graphical-modeldo-operator
  • Updated Jun 23, 2026
  • TypeScript

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