ArthurAI Metric Functions V1 API

The Metric Functions V1 API from ArthurAI — 1 operation(s) for metric functions v1.

OpenAPI Specification

arthurai-metric-functions-v1-api-openapi.yml Raw ↑
openapi: 3.1.0
info:
  title: Arthur GenAI Engine Agent Discovery Metric Functions V1 API
  version: 2.1.688
tags:
- name: Metric Functions V1
paths:
  /api/v1/metric_functions/aggregations:
    get:
      tags:
      - Metric Functions V1
      summary: Get Aggregations Catalog
      description: Get aggregations catalog.
      operationId: get_metric_functions_aggregations
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ResourceList_AggregationSpecSchema_'
        '500':
          description: Internal Server Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/InternalServerError'
      security:
      - OAuth2AuthorizationCode: []
components:
  schemas:
    MetricsLiteralParameterSchema:
      properties:
        parameter_key:
          type: string
          title: Parameter Key
          description: Name of the parameter.
        friendly_name:
          type: string
          title: Friendly Name
          description: User facing name of the parameter.
        description:
          type: string
          title: Description
          description: Description of the parameter.
        parameter_type:
          type: string
          const: literal
          title: Parameter Type
          default: literal
        parameter_dtype:
          $ref: '#/components/schemas/DType'
          description: Data type of the parameter.
        optional:
          type: boolean
          title: Optional
          description: Boolean denoting if the parameter is optional.
          default: false
      type: object
      required:
      - parameter_key
      - friendly_name
      - description
      - parameter_dtype
      title: MetricsLiteralParameterSchema
    Pagination:
      properties:
        page:
          type: integer
          title: Page
          description: The current page number. Page 1 is the first page.
          default: 1
        page_size:
          type: integer
          title: Page Size
          description: Number of records per page.
          default: 20
        total_pages:
          type: integer
          title: Total Pages
          description: Total number of pages.
        total_records:
          type: integer
          title: Total Records
          description: Total number of records across all pages.
      type: object
      required:
      - total_pages
      - total_records
      title: Pagination
    InternalServerError:
      properties:
        detail:
          type: string
          title: Detail
          default: Internal server error
      type: object
      title: InternalServerError
    ResourceList_AggregationSpecSchema_:
      properties:
        records:
          items:
            $ref: '#/components/schemas/AggregationSpecSchema'
          type: array
          title: Records
          description: List of records.
        pagination:
          $ref: '#/components/schemas/Pagination'
          description: Pagination information.
      type: object
      required:
      - records
      - pagination
      title: ResourceList[AggregationSpecSchema]
    AggregationSpecSchema:
      properties:
        name:
          type: string
          title: Name
          description: Name of the aggregation function.
        id:
          type: string
          format: uuid
          title: Id
          description: Unique identifier of the aggregation function.
        description:
          type: string
          title: Description
          description: Description of the aggregation function and what it aggregates.
        metric_type:
          $ref: '#/components/schemas/AggregationMetricType'
          description: Return type of the aggregations aggregate function.
        init_args:
          items:
            anyOf:
            - $ref: '#/components/schemas/MetricsDatasetParameterSchema'
            - $ref: '#/components/schemas/MetricsLiteralParameterSchema'
            - $ref: '#/components/schemas/MetricsColumnParameterSchema'
            - $ref: '#/components/schemas/MetricsColumnListParameterSchema'
          type: array
          title: Init Args
          description: List of parameters to the aggregation's init function.
        aggregate_args:
          items:
            anyOf:
            - $ref: '#/components/schemas/MetricsDatasetParameterSchema'
            - $ref: '#/components/schemas/MetricsLiteralParameterSchema'
            - $ref: '#/components/schemas/MetricsColumnParameterSchema'
            - $ref: '#/components/schemas/MetricsColumnListParameterSchema'
          type: array
          title: Aggregate Args
          description: List of parameters to the aggregation's aggregate function.
        reported_aggregations:
          items:
            $ref: '#/components/schemas/BaseReportedAggregation'
          type: array
          title: Reported Aggregations
          description: List of aggregations reported by the metric.
      type: object
      required:
      - name
      - id
      - description
      - metric_type
      - init_args
      - aggregate_args
      - reported_aggregations
      title: AggregationSpecSchema
    ScopeSchemaTag:
      type: string
      enum:
      - llm_context
      - llm_prompt
      - llm_response
      - primary_timestamp
      - categorical
      - continuous
      - prediction
      - ground_truth
      - pin_in_deep_dive
      - possible_segmentation
      title: ScopeSchemaTag
    DType:
      type: string
      enum:
      - undefined
      - int
      - float
      - bool
      - str
      - uuid
      - timestamp
      - date
      - json
      - image
      title: DType
    ListType:
      properties:
        items:
          anyOf:
          - $ref: '#/components/schemas/ScalarType'
          - $ref: '#/components/schemas/ObjectType'
          - $ref: '#/components/schemas/ListType'
          title: Items
      type: object
      required:
      - items
      title: ListType
    MetricsColumnParameterSchema:
      properties:
        parameter_key:
          type: string
          title: Parameter Key
          description: Name of the parameter.
        friendly_name:
          type: string
          title: Friendly Name
          description: User facing name of the parameter.
        description:
          type: string
          title: Description
          description: Description of the parameter.
        tag_hints:
          items:
            $ref: '#/components/schemas/ScopeSchemaTag'
          type: array
          title: Tag Hints
          description: List of tags that are applicable to this parameter. Datasets with columns that have matching tags can be inferred this way.
          default: []
        source_dataset_parameter_key:
          type: string
          title: Source Dataset Parameter Key
          description: Name of the parameter that provides the dataset to be used for this column.
        allowed_column_types:
          anyOf:
          - items:
              anyOf:
              - $ref: '#/components/schemas/ScalarType'
              - $ref: '#/components/schemas/ObjectType'
              - $ref: '#/components/schemas/ListType'
            type: array
          - type: 'null'
          title: Allowed Column Types
          description: List of column types applicable to this parameter
        allow_any_column_type:
          type: boolean
          title: Allow Any Column Type
          description: Indicates if this metric parameter can accept any column type.
          default: false
        parameter_type:
          type: string
          const: column
          title: Parameter Type
          default: column
        optional:
          type: boolean
          title: Optional
          description: Boolean denoting if the parameter is optional.
          default: false
      type: object
      required:
      - parameter_key
      - friendly_name
      - description
      - source_dataset_parameter_key
      title: MetricsColumnParameterSchema
    MetricsDatasetParameterSchema:
      properties:
        parameter_key:
          type: string
          title: Parameter Key
          description: Name of the parameter.
        friendly_name:
          type: string
          title: Friendly Name
          description: User facing name of the parameter.
        description:
          type: string
          title: Description
          description: Description of the parameter.
        parameter_type:
          type: string
          const: dataset
          title: Parameter Type
          default: dataset
        model_problem_type:
          anyOf:
          - $ref: '#/components/schemas/ModelProblemType'
          - type: 'null'
          description: Model problem type of the parameter. If not set, any model problem type is allowed.
        optional:
          type: boolean
          title: Optional
          description: Boolean denoting if the parameter is optional.
          default: false
      type: object
      required:
      - parameter_key
      - friendly_name
      - description
      title: MetricsDatasetParameterSchema
    MetricsColumnListParameterSchema:
      properties:
        parameter_key:
          type: string
          title: Parameter Key
          description: Name of the parameter.
        friendly_name:
          type: string
          title: Friendly Name
          description: User facing name of the parameter.
        description:
          type: string
          title: Description
          description: Description of the parameter.
        tag_hints:
          items:
            $ref: '#/components/schemas/ScopeSchemaTag'
          type: array
          title: Tag Hints
          description: List of tags that are applicable to this parameter. Datasets with columns that have matching tags can be inferred this way.
          default: []
        source_dataset_parameter_key:
          type: string
          title: Source Dataset Parameter Key
          description: Name of the parameter that provides the dataset to be used for this column.
        allowed_column_types:
          anyOf:
          - items:
              anyOf:
              - $ref: '#/components/schemas/ScalarType'
              - $ref: '#/components/schemas/ObjectType'
              - $ref: '#/components/schemas/ListType'
            type: array
          - type: 'null'
          title: Allowed Column Types
          description: List of column types applicable to this parameter
        allow_any_column_type:
          type: boolean
          title: Allow Any Column Type
          description: Indicates if this metric parameter can accept any column type.
          default: false
        optional:
          type: boolean
          title: Optional
          description: Boolean denoting if the parameter is optional.
          default: false
        parameter_type:
          type: string
          const: column_list
          title: Parameter Type
          default: column_list
      type: object
      required:
      - parameter_key
      - friendly_name
      - description
      - source_dataset_parameter_key
      title: MetricsColumnListParameterSchema
    ScalarType:
      properties:
        dtype:
          $ref: '#/components/schemas/DType'
      type: object
      required:
      - dtype
      title: ScalarType
    BaseReportedAggregation:
      properties:
        metric_name:
          type: string
          title: Metric Name
          description: Name of the reported aggregation metric.
        description:
          type: string
          title: Description
          description: Description of the reported aggregation metric and what it aggregates.
      type: object
      required:
      - metric_name
      - description
      title: BaseReportedAggregation
    AggregationMetricType:
      type: string
      enum:
      - sketch
      - numeric
      title: AggregationMetricType
    ModelProblemType:
      type: string
      enum:
      - regression
      - binary_classification
      - arthur_shield
      - custom
      - multiclass_classification
      - agentic_trace
      title: ModelProblemType
    ObjectType:
      properties:
        object:
          additionalProperties:
            anyOf:
            - $ref: '#/components/schemas/ScalarType'
            - $ref: '#/components/schemas/ObjectType'
            - $ref: '#/components/schemas/ListType'
          type: object
          title: Object
      type: object
      required:
      - object
      title: ObjectType
  securitySchemes:
    API Key:
      type: http
      description: Bearer token authentication with an API key
      scheme: bearer