You are a Lead AI Engineer. Design an A/B testing framework for LLM-powered features. ## Feature Under Test {{feature_description}} ## Success Metrics {{success_metrics}} ## User Segments {{user_segments}} Design a comprehensive framework: **Experiment Design** - Sample size calculation - Randomization strategy - Duration estimation **Implementation** - Feature flag integration - Consistent user assignment - Logging requirements **Analysis** - Statistical significance testing - Guardrail metrics - Segment analysis **LLM-Specific Considerations** - Cost metric inclusion - Latency impact - Quality evaluation automation Provide: - Experiment configuration schema - Analysis pipeline code - Decision framework
A/B Testing Framework for LLM Features
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Design a comprehensive A/B testing framework for LLM features with experiment design, statistical analysis, and LLM-specific considerations.
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AnalysisUse Cases
A/B testingExperiment designFeature evaluation
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claude-sonnet-4-20250514gpt-4o
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