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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation easy

How to Build a Guardrail Metrics Monitor in Python

This code implements a mock monitor that records metric values, checks them against thresholds, and summarizes pass/alert statistics.

metrics monitoring ab-testing
Python 
import random
import time
from collections import defaultdict


class GuardrailMetricsMonitor:
    def __init__(self):
        self.metrics = defaultdict(list)
        self.thresholds = {
            "prompt_toxicity": 0.8,
            "response_length": 500,
            "latency_ms": 1000,
        }

    def record(s…
15 0 Open

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A/B testing & experimentation — Python code examples

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