openapi: 3.1.0
info:
  title: MLflow Tracking REST Artifacts Experiments API
  version: '2.0'
  summary: REST API for the MLflow tracking server, model registry, and metrics.
  description: 'MLflow is an open-source platform for the end-to-end ML and GenAI lifecycle.

    The tracking server exposes REST endpoints under `/api/2.0/mlflow` for

    experiments, runs, metrics, parameters, artifacts, and the model registry.

    See https://mlflow.org/docs/latest/rest-api.html

    '
  contact:
    name: MLflow
    url: https://mlflow.org/
  license:
    name: Apache-2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: http://localhost:5000
  description: Default local MLflow tracking server
- url: https://{host}
  description: Self-hosted MLflow tracking server
  variables:
    host:
      default: mlflow.example.com
      description: Hostname of the MLflow tracking server
security:
- {}
- basicAuth: []
tags:
- name: Experiments
  description: Manage MLflow experiments.
paths:
  /api/2.0/mlflow/experiments/create:
    post:
      tags:
      - Experiments
      summary: Create experiment
      operationId: createExperiment
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - name
              properties:
                name:
                  type: string
                artifact_location:
                  type: string
                tags:
                  type: array
                  items:
                    type: object
      responses:
        '200':
          description: Experiment created
  /api/2.0/mlflow/experiments/search:
    post:
      tags:
      - Experiments
      summary: Search experiments
      operationId: searchExperiments
      requestBody:
        required: false
        content:
          application/json:
            schema:
              type: object
              properties:
                max_results:
                  type: integer
                filter:
                  type: string
                order_by:
                  type: array
                  items:
                    type: string
                page_token:
                  type: string
      responses:
        '200':
          description: Search results
  /api/2.0/mlflow/experiments/get:
    get:
      tags:
      - Experiments
      summary: Get experiment
      operationId: getExperiment
      parameters:
      - in: query
        name: experiment_id
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Experiment object
  /api/2.0/mlflow/experiments/get-by-name:
    get:
      tags:
      - Experiments
      summary: Get experiment by name
      operationId: getExperimentByName
      parameters:
      - in: query
        name: experiment_name
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Experiment object
  /api/2.0/mlflow/experiments/delete:
    post:
      tags:
      - Experiments
      summary: Delete experiment
      operationId: deleteExperiment
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - experiment_id
              properties:
                experiment_id:
                  type: string
      responses:
        '200':
          description: Experiment deleted
  /api/2.0/mlflow/experiments/restore:
    post:
      tags:
      - Experiments
      summary: Restore experiment
      operationId: restoreExperiment
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - experiment_id
              properties:
                experiment_id:
                  type: string
      responses:
        '200':
          description: Experiment restored
  /api/2.0/mlflow/experiments/update:
    post:
      tags:
      - Experiments
      summary: Update experiment
      operationId: updateExperiment
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - experiment_id
              properties:
                experiment_id:
                  type: string
                new_name:
                  type: string
      responses:
        '200':
          description: Experiment updated
components:
  securitySchemes:
    basicAuth:
      type: http
      scheme: basic
      description: 'Optional HTTP Basic authentication when the MLflow tracking server is

        configured with the `mlflow-basic-auth` plugin. Default open-source

        servers run without authentication.

        '