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

# Distinct AI models used in a project

> Returns the distinct AI models that have been run for the project, including models whose runs are still pending or failed; the path `id` must match the `x-project-id` header.



## OpenAPI

````yaml https://api.mentionlab.io/api/docs-json get /api/v1/projects/{id}/models
openapi: 3.0.0
info:
  title: MentionLab Public API v0.3.4-rc
  description: ''
  version: 0.3.4-rc
  contact: {}
servers:
  - url: https://api.mentionlab.io
security: []
tags: []
paths:
  /api/v1/projects/{id}/models:
    get:
      tags:
        - Projects
      summary: Distinct AI models used in a project
      description: >-
        Returns the distinct AI models that have been run for the project,
        including models whose runs are still pending or failed; the path `id`
        must match the `x-project-id` header.
      operationId: ProjectModelsV1Controller_getProjectModels_v1
      parameters:
        - name: id
          required: true
          in: path
          description: The project identifier; must match the `x-project-id` header.
          schema:
            type: string
            format: uuid
        - name: x-project-id
          in: header
          description: Project ID to specify the project context
          required: true
          schema:
            type: string
      responses:
        '200':
          description: ''
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/JenModelsResponse'
        '400':
          description: >-
            The request failed validation — the body, query or path parameters
            are malformed or out of range.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ApiErrorResponse'
        '401':
          description: The request is missing valid authentication credentials.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ApiErrorResponse'
        '403':
          description: >-
            The authenticated principal lacks the required permission, or access
            to the requested organisation/project.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ApiErrorResponse'
components:
  schemas:
    JenModelsResponse:
      type: object
      properties:
        models:
          description: Unique AI model names used by job executions in this project.
          example:
            - gpt-4o
            - gemini-1.5-pro
          type: array
          items:
            type: string
      required:
        - models
    ApiErrorResponse:
      type: object
      properties:
        statusCode:
          type: number
          description: HTTP status code of the error.
          example: 400
        message:
          type: string
          description: >-
            Human-readable description of the error. Validation failures return
            an array of per-field validation errors instead of a single string.
          example: Validation failed
        error:
          type: string
          description: Short name of the HTTP error.
          example: Bad Request
      required:
        - statusCode

````