MLflow REST API

aid: mlflow:mlflow-tracking-rest-api
name: MLflow REST API
humanURL: https://mlflow.org/docs/latest/rest-api.html
baseURL: http://{tracking_server}/api/2.0/mlflow
tags:
- REST
- Experiments
- Runs
- Model Registry
- Artifacts
description: The MLflow tracking server exposes a REST API for experiments, runs, parameters, metrics,
  tags, registered models, model versions, model aliases, and artifacts, plus newer endpoints for traces,
  prompts, datasets, and the AI gateway. POST requests use `application/json`. Pagination via `max_results`
  / `page_token`. Authentication is deployment-specific (basic auth, OIDC, or none).
properties:
- type: Documentation
  url: https://mlflow.org/docs/latest/rest-api.html
- type: SDK
  title: Python (mlflow)
  url: https://mlflow.org/docs/latest/python_api/index.html
- type: SDK
  title: Java
  url: https://mlflow.org/docs/latest/java_api/index.html
- type: SDK
  title: R
  url: https://mlflow.org/docs/latest/R-api.html