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Definition

The median latency test ensures that the median (50th percentile) latency for the data is within a given range.

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Taxonomy

  • Task types: LLM, tabular classification, tabular regression, text classification.
  • Availability: .

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Why it matters

  • The median latency represents the typical user experience, as it’s the latency value that half of all requests fall below.
  • This metric is less sensitive to outliers than the mean latency, providing a more stable measure of central tendency.
  • Monitoring median latency helps ensure that the typical user receives acceptable performance, making it a key indicator for overall system health.

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Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the median latency test: 
[
  {
    "name": "Median latency below 3000 msec",
    "description": "Make sure that the median latency is below 3000 msec",
    "type": "performance",
    "subtype": "metricThreshold",
    "thresholds": [
      {
        "insightName": "metrics",
        "insightParameters": null,
        "measurement": "medianLatency",
        "operator": "<",
        "value": 3000
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true, // Apply test to the validation set
    "usesTrainingDataset": false,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689" // Some unique id
  }
]
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