Bayesian multi-armed bandits for continuous prompt experimentation: Thompson sampling routes traffic to the best prompt variant and a stopping rule promotes a winner without a fixed-N A/B test. Zero dependencies, TypeScript-first.
nodejs typescript mcp edge openai thompson-sampling experimentation ab-testing bayesian zero-dependency multi-armed-bandit bandit contextual-bandit best-arm-identification sequential-testing llm prompt-engineering anthropic beta-bernoulli prompt-experimentation
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Updated
Jun 22, 2026 - TypeScript