> ## Documentation Index
> Fetch the complete documentation index at: https://docs.orq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# List evaluator versions

> Returns version history for a specific evaluator



## OpenAPI

````yaml get /v2/evaluators/{id}/versions
openapi: 3.1.0
info:
  title: orq.ai API
  version: '2.0'
  description: orq.ai API documentation
servers:
  - url: https://api.orq.ai
security:
  - ApiKey: []
tags:
  - description: List models available through the AI Router.
    name: Models
  - name: Guardrail Rules
  - name: Policies
  - name: Routing Rules
  - name: API keys
    description: >-
      API keys authenticate programmatic access to the workspace. The unified
      key model exposes opaque tokens, per-domain access grants, and budget /
      rate-limit constraints (see ADR 0001 and ADR 0002).
  - name: Budgets
    description: >-
      Budgets govern spend, token usage, and request rate across six scopes:
      workspace, project, identity, api-key, provider, and model. A budget is
      hierarchical and defense-in-depth — every applicable budget is a hard
      gate, and the most restrictive one wins per dimension (see ADR 0007).
  - name: Documentation
    description: >-
      Search the orq.ai documentation. Proxies the workspace's query to the
      hosted docs search index.
  - name: Files
    description: File upload and retrieval operations.
  - name: Identities
    description: >-
      Identities represent end users from your system for usage and engagement
      tracking.
  - name: Projects
    description: Projects organize resources within a workspace
  - name: Skills
    description: >-
      Skills are modular instructions you can use to codify processes and
      conventions
  - name: Responses
  - description: >-
      Run agents on a cadence — cron, interval, or one-off. Minimum firing
      interval is 1 hour.
    name: Agent Schedules
  - name: Embeddings
  - name: Reporting
    description: >-
      GenAI reporting API over canonical analytics rollups. Accepts a metric
      name, time range, grain, group-by, and filters; returns a typed time
      series and optional totals.
externalDocs:
  url: https://docs.orq.ai
  description: orq.ai Documentation
paths:
  /v2/evaluators/{id}/versions:
    get:
      tags:
        - Evals
      summary: List evaluator versions
      description: Returns version history for a specific evaluator
      parameters:
        - schema:
            type: string
          required: true
          name: id
          in: path
        - schema:
            type: integer
            minimum: 1
            maximum: 200
            default: 10
            description: >-
              A limit on the number of objects to be returned. Limit can range
              between 1 and 50, and the default is 10
          required: false
          description: >-
            A limit on the number of objects to be returned. Limit can range
            between 1 and 50, and the default is 10
          name: limit
          in: query
        - schema:
            type: string
            description: >-
              A cursor for use in pagination. `starting_after` is an object ID
              that defines your place in the list. For instance, if you make a
              list request and receive 20 objects, ending with
              `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include
              `after=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the next page
              of the list.
          required: false
          description: >-
            A cursor for use in pagination. `starting_after` is an object ID
            that defines your place in the list. For instance, if you make a
            list request and receive 20 objects, ending with
            `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include
            `after=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the next page
            of the list.
          name: starting_after
          in: query
        - schema:
            type: string
            description: >-
              A cursor for use in pagination. `ending_before` is an object ID
              that defines your place in the list. For instance, if you make a
              list request and receive 20 objects, starting with
              `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include
              `before=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the previous
              page of the list.
          required: false
          description: >-
            A cursor for use in pagination. `ending_before` is an object ID that
            defines your place in the list. For instance, if you make a list
            request and receive 20 objects, starting with
            `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include
            `before=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the previous
            page of the list.
          name: ending_before
          in: query
      responses:
        '200':
          description: Evaluator versions retrieved
          content:
            application/json:
              schema:
                type: object
                properties:
                  object:
                    type: string
                    enum:
                      - list
                  data:
                    type: array
                    items:
                      type: object
                      properties:
                        _id:
                          type: string
                        created_at:
                          type: string
                        updated_at:
                          type: string
                        created_by_id:
                          type: string
                        updated_by_id:
                          type: string
                        version:
                          type: string
                        description:
                          type: string
                        checksum:
                          type: string
                        entityType:
                          type: string
                        entityId:
                          type: string
                        data:
                          type: object
                          additionalProperties: {}
                        workspace_id:
                          type: string
                      required:
                        - _id
                        - created_at
                        - updated_at
                        - version
                        - checksum
                        - entityType
                        - entityId
                        - data
                        - workspace_id
                  has_more:
                    type: boolean
                required:
                  - object
                  - data
                  - has_more
        '404':
          description: Evaluator not found
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    type: string
                required:
                  - message
components:
  securitySchemes:
    ApiKey:
      type: http
      scheme: bearer
      bearerFormat: JWT

````