UpTrain Runs API

openapi: 3.0.1
info:
  title: UpTrain Managed Evaluation Auth Runs API
  description: Managed HTTP API for UpTrain, the open-source (Apache-2.0) LLM evaluation platform. The API grades supplied LLM input / output / context rows against a list of named checks (context relevance, factual accuracy, response completeness, conciseness, tonality, prompt injection, hallucination and more), logs results to a named project for dashboard monitoring, and performs root cause analysis on failures. These paths correspond to the public endpoints called by the uptrain Python package's APIClient (uptrain/framework/remote.py), rooted at {server_url}/api/public. The default managed server is https://demo.uptrain.ai. Requests are authenticated with an uptrain-access-token header.
  termsOfService: https://uptrain.ai/
  contact:
    name: UpTrain
    url: https://uptrain.ai/
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0.html
  version: 0.7.1
servers:
- url: https://demo.uptrain.ai/api/public
  description: Default UpTrain managed evaluation service
security:
- UptrainAccessToken: []
tags:
- name: Runs
paths:
  /run:
    post:
      operationId: addRun
      tags:
      - Runs
      summary: Create an evaluation run.
      description: Creates a run that pairs a previously uploaded dataset with a checkset and executes the checks asynchronously. Returns a run identifier that can be polled for status and results.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RunRequest'
      responses:
        '200':
          description: The created run.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Run'
        '401':
          description: Invalid or missing access token.
  /run/{run_id}:
    get:
      operationId: getRun
      tags:
      - Runs
      summary: Get the status of a run.
      parameters:
      - name: run_id
        in: path
        required: true
        schema:
          type: string
      responses:
        '200':
          description: The run object with its current status.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Run'
        '404':
          description: Run not found.
  /run/{run_id}/results:
    get:
      operationId: getRunResults
      tags:
      - Runs
      summary: Download the results of a completed run.
      parameters:
      - name: run_id
        in: path
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Evaluation results for the run.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EvaluationResults'
        '404':
          description: Run not found.
components:
  schemas:
    EvaluationResults:
      type: array
      description: The input rows echoed back, each enriched with score_<check> and explanation_<check> fields for every requested check.
      items:
        type: object
        additionalProperties: true
    Run:
      type: object
      properties:
        run_id:
          type: string
        status:
          type: string
          description: Run status, for example queued, running, or done.
        created_at:
          type: string
          format: date-time
    RunRequest:
      type: object
      required:
      - dataset
      - checkset
      properties:
        name:
          type: string
        dataset:
          type: string
          description: Name of a previously uploaded dataset.
        checkset:
          type: string
          description: Name of a previously created checkset.
  securitySchemes:
    UptrainAccessToken:
      type: apiKey
      in: header
      name: uptrain-access-token
      description: UpTrain managed-service access token. Obtained from the UpTrain dashboard and supplied on every request as the uptrain-access-token header.