Honeyhive Create Metric

• namestring

  Required
  Name of the metric. Must be unique within the project and descriptive of what is being measured.
• typestring

  Required
  Type of metric evaluation. PYTHON: code-based, LLM: AI-evaluated, HUMAN: manually evaluated, COMPOSITE: combination of other metrics.
• scaleinteger
  Scale for rating-type metrics (e.g., 1-5 scale, 1-10 scale)
• filtersobject
  Filter conditions to apply before computing the metric
• criteriastring

  Required
  Evaluation criteria that defines what this metric measures and how it should be assessed. Required for all metric types.
• thresholdobject
  Threshold settings for determining when a metric passes or fails.
• categoriesarray
  List of categories with scores for categorical metrics. Required when return_type is 'categorical'.
• model_namestring
  Specific model name for LLM-evaluated metrics (e.g., 'gpt-4', 'claude-3-opus'). Required when type is LLM.
• descriptionstring
  Detailed description of what the metric measures and when to use it
• return_typestring
  Data type of the metric's return value
• child_metricsarray
  List of child metrics with weights for composite metrics. Required when type is 'COMPOSITE'.
• model_providerstring
  Model provider for LLM-evaluated metrics (e.g., 'openai', 'anthropic'). Required when type is LLM.

• data

  Required
  Data from the action execution
• errorstring
  Error if any occurred during the execution of the action
• successfulboolean

  Required
  Whether or not the action execution was successful or not

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No published Skills explicitly reference this Action yet.