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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.

nodejs typescript mcp incident-response bayesian-network edge calibration openai bayesian zero-dependency sre observability causal-inference diagnosis belief-propagation root-cause-analysis llm anthropic probabilistic-graphical-model do-operator
  • Updated Jun 23, 2026
  • TypeScript

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