Opik · Schema

Experiment

An evaluation run that executes an LLM application against a Dataset and collects feedback scores for each DatasetItem. Experiments support multiple types and evaluation methods.

LLMEvaluationObservabilityTracingOpen SourceLLMOpsRAGArtificial IntelligenceMachine LearningMonitoring

Properties

Name Type Description
id string Unique identifier for the experiment.
dataset_name string Name of the Dataset this experiment runs against.
dataset_id string UUID of the Dataset this experiment runs against.
project_id string Project ID. Takes precedence over project_name when both are provided.
project_name string Project name. Creates project if it does not exist. Ignored when project_id is provided.
name string Human-readable name for the experiment.
metadata object Additional metadata associated with the experiment.
tags array Labels for categorizing the experiment.
type string Type of experiment run.
evaluation_method string Method used to drive the evaluation (standard dataset or evaluation suite).
optimization_id string UUID of the Optimization workflow this experiment belongs to, if any.
feedback_scores array Aggregated average feedback scores across all experiment items.
comments array User comments on this experiment.
created_at string Timestamp when the experiment was created.
last_updated_at string Timestamp when the experiment was last updated.
created_by string Username or identifier of the user who created the experiment.
last_updated_by string Username or identifier of the user who last updated the experiment.
trace_count integer Number of traces (experiment items) in this experiment.
duration number Duration of the experiment run in milliseconds.
total_estimated_cost number Estimated total cost of LLM API calls made during this experiment.
View JSON Schema on GitHub

JSON Schema

opik-experiment.json Raw ↑
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/opik/main/json-schema/opik-experiment.json",
  "title": "Experiment",
  "description": "An evaluation run that executes an LLM application against a Dataset and collects feedback scores for each DatasetItem. Experiments support multiple types and evaluation methods.",
  "type": "object",
  "required": ["dataset_name"],
  "properties": {
    "id": {
      "type": "string",
      "format": "uuid",
      "description": "Unique identifier for the experiment."
    },
    "dataset_name": {
      "type": "string",
      "minLength": 1,
      "description": "Name of the Dataset this experiment runs against."
    },
    "dataset_id": {
      "type": "string",
      "format": "uuid",
      "description": "UUID of the Dataset this experiment runs against.",
      "readOnly": true
    },
    "project_id": {
      "type": "string",
      "format": "uuid",
      "description": "Project ID. Takes precedence over project_name when both are provided."
    },
    "project_name": {
      "type": "string",
      "pattern": "(?s)^\\s*(\\S.*\\S|\\S)\\s*$",
      "description": "Project name. Creates project if it does not exist. Ignored when project_id is provided."
    },
    "name": {
      "type": "string",
      "description": "Human-readable name for the experiment."
    },
    "metadata": {
      "description": "Additional metadata associated with the experiment."
    },
    "tags": {
      "type": "array",
      "uniqueItems": true,
      "minItems": 0,
      "maxItems": 50,
      "description": "Labels for categorizing the experiment.",
      "items": {
        "type": "string",
        "minLength": 0,
        "maxLength": 100
      }
    },
    "type": {
      "type": "string",
      "enum": ["regular", "trial", "mini-batch", "mutation"],
      "description": "Type of experiment run."
    },
    "evaluation_method": {
      "type": "string",
      "enum": ["dataset", "evaluation_suite"],
      "description": "Method used to drive the evaluation (standard dataset or evaluation suite)."
    },
    "optimization_id": {
      "type": "string",
      "format": "uuid",
      "description": "UUID of the Optimization workflow this experiment belongs to, if any."
    },
    "feedback_scores": {
      "type": "array",
      "description": "Aggregated average feedback scores across all experiment items.",
      "readOnly": true,
      "items": {
        "type": "object",
        "properties": {
          "name": { "type": "string" },
          "value": { "type": "number" },
          "count": { "type": "integer" }
        }
      }
    },
    "comments": {
      "type": "array",
      "description": "User comments on this experiment.",
      "readOnly": true,
      "items": {
        "type": "object",
        "properties": {
          "id": { "type": "string", "format": "uuid" },
          "text": { "type": "string" },
          "created_at": { "type": "string", "format": "date-time" },
          "created_by": { "type": "string" }
        }
      }
    },
    "created_at": {
      "type": "string",
      "format": "date-time",
      "description": "Timestamp when the experiment was created.",
      "readOnly": true
    },
    "last_updated_at": {
      "type": "string",
      "format": "date-time",
      "description": "Timestamp when the experiment was last updated.",
      "readOnly": true
    },
    "created_by": {
      "type": "string",
      "description": "Username or identifier of the user who created the experiment.",
      "readOnly": true
    },
    "last_updated_by": {
      "type": "string",
      "description": "Username or identifier of the user who last updated the experiment.",
      "readOnly": true
    },
    "trace_count": {
      "type": "integer",
      "description": "Number of traces (experiment items) in this experiment.",
      "readOnly": true
    },
    "duration": {
      "type": "number",
      "description": "Duration of the experiment run in milliseconds.",
      "readOnly": true
    },
    "total_estimated_cost": {
      "type": "number",
      "description": "Estimated total cost of LLM API calls made during this experiment.",
      "readOnly": true
    }
  }
}

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