EvalRun

A schema representing an evaluation run.

Artificial IntelligenceGenerative AIAI AgentsFoundation ModelsMachine LearningCloudMicrosoft AzureA2A

Properties

Name Type Description
object string The type of the object. Always "eval.run".
id string Unique identifier for the evaluation run.
eval_id string The identifier of the associated evaluation.
status string The status of the evaluation run.
model string The model that is evaluated, if applicable.
name string The name of the evaluation run.
created_at integer Unix timestamp (in seconds) when the evaluation run was created.
report_url string The URL to the rendered evaluation run report on the UI dashboard.
result_counts object Counters summarizing the outcomes of the evaluation run.
per_model_usage array Usage statistics for each model during the evaluation run.
per_testing_criteria_results array Results per testing criteria applied during the evaluation run.
data_source object Information about the run's data source.
metadata object
error object
modified_at object Unix timestamp (in seconds) when the evaluation run was last modified.
created_by string the name of the person who created the run.
properties object Set of immutable 16 key-value pairs that can be attached to an object for storing additional information. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum len
View JSON Schema on GitHub

JSON Schema

azure-ai-foundry-eval-run-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/azure-ai-foundry/json-schema/azure-ai-foundry-eval-run-schema.json",
  "title": "EvalRun",
  "description": "A schema representing an evaluation run.",
  "x-generated": "2026-11-12",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/_superseded/azure-ai-foundry-evals-api-openapi.yml#/components/schemas/EvalRun",
  "type": "object",
  "properties": {
    "object": {
      "type": "string",
      "description": "The type of the object. Always \"eval.run\".",
      "default": "eval.run",
      "enum": [
        "eval.run"
      ],
      "x-ms-enum": {
        "modelAsString": false
      },
      "x-stainless-const": true
    },
    "id": {
      "type": "string",
      "description": "Unique identifier for the evaluation run."
    },
    "eval_id": {
      "type": "string",
      "description": "The identifier of the associated evaluation."
    },
    "status": {
      "type": "string",
      "description": "The status of the evaluation run."
    },
    "model": {
      "type": "string",
      "description": "The model that is evaluated, if applicable."
    },
    "name": {
      "type": "string",
      "description": "The name of the evaluation run."
    },
    "created_at": {
      "type": "integer",
      "format": "unixtime",
      "description": "Unix timestamp (in seconds) when the evaluation run was created."
    },
    "report_url": {
      "type": "string",
      "description": "The URL to the rendered evaluation run report on the UI dashboard."
    },
    "result_counts": {
      "$ref": "#/$defs/OpenAI.EvalRunResultCounts",
      "description": "Counters summarizing the outcomes of the evaluation run."
    },
    "per_model_usage": {
      "type": "array",
      "description": "Usage statistics for each model during the evaluation run.",
      "items": {
        "$ref": "#/$defs/OpenAI.EvalRunPerModelUsage"
      }
    },
    "per_testing_criteria_results": {
      "type": "array",
      "description": "Results per testing criteria applied during the evaluation run.",
      "items": {
        "$ref": "#/$defs/OpenAI.EvalRunPerTestingCriteriaResults"
      }
    },
    "data_source": {
      "description": "Information about the run's data source."
    },
    "metadata": {
      "$ref": "#/$defs/OpenAI.Metadata"
    },
    "error": {
      "$ref": "#/$defs/OpenAI.EvalApiError"
    },
    "modified_at": {
      "$ref": "#/$defs/integer",
      "description": "Unix timestamp (in seconds) when the evaluation run was last modified."
    },
    "created_by": {
      "type": "string",
      "description": "the name of the person who created the run."
    },
    "properties": {
      "type": "object",
      "description": "Set of immutable 16 key-value pairs that can be attached to an object for storing additional information.\n    Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.",
      "additionalProperties": {
        "type": "string"
      }
    }
  },
  "required": [
    "object",
    "id",
    "eval_id",
    "status",
    "model",
    "name",
    "created_at",
    "report_url",
    "result_counts",
    "per_model_usage",
    "per_testing_criteria_results",
    "data_source",
    "metadata",
    "error"
  ],
  "x-oaiMeta": {
    "name": "The eval run object",
    "group": "evals"
  },
  "$defs": {
    "OpenAI.EvalApiError": {
      "type": "object",
      "title": "EvalApiError",
      "description": "An object representing an error response from the Eval API.",
      "properties": {
        "code": {
          "type": "string",
          "description": "The error code."
        },
        "message": {
          "type": "string",
          "description": "The error message."
        }
      },
      "required": [
        "code",
        "message"
      ],
      "x-oaiMeta": {
        "name": "The API error object",
        "group": "evals"
      }
    },
    "OpenAI.EvalRunPerModelUsage": {
      "type": "object",
      "properties": {
        "model_name": {
          "type": "string",
          "x-stainless-naming": {
            "python": {
              "property_name": "run_model_name"
            }
          }
        },
        "invocation_count": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "prompt_tokens": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "completion_tokens": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "total_tokens": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "cached_tokens": {
          "$ref": "#/$defs/OpenAI.integer"
        }
      },
      "required": [
        "model_name",
        "invocation_count",
        "prompt_tokens",
        "completion_tokens",
        "total_tokens",
        "cached_tokens"
      ]
    },
    "OpenAI.EvalRunPerTestingCriteriaResults": {
      "type": "object",
      "properties": {
        "testing_criteria": {
          "type": "string"
        },
        "passed": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "failed": {
          "$ref": "#/$defs/OpenAI.integer"
        }
      },
      "required": [
        "testing_criteria",
        "passed",
        "failed"
      ]
    },
    "OpenAI.EvalRunResultCounts": {
      "type": "object",
      "properties": {
        "total": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "errored": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "failed": {
          "$ref": "#/$defs/OpenAI.integer"
        },
        "passed": {
          "$ref": "#/$defs/OpenAI.integer"
        }
      },
      "required": [
        "total",
        "errored",
        "failed",
        "passed"
      ]
    },
    "OpenAI.Metadata": {
      "type": "object",
      "description": "Set of 16 key-value pairs that can be attached to an object. This can be\nuseful for storing additional information about the object in a structured\nformat, and querying for objects via API or the dashboard.\nKeys are strings with a maximum length of 64 characters. Values are strings\nwith a maximum length of 512 characters.",
      "additionalProperties": {
        "type": "string"
      },
      "x-oaiTypeLabel": "map"
    },
    "OpenAI.integer": {
      "type": "integer",
      "format": "int64"
    },
    "integer": {
      "type": "integer",
      "format": "int64"
    }
  }
}

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