MLflow

MLflow is an Apache 2.0 open-source platform for the end-to-end ML and GenAI lifecycle: tracking, model registry, deployment, evaluation, traces, prompts, and GenAI gateway. The tracking server exposes a REST API under `/api/2.0/mlflow`.

2 APIs 0 Features

MLMLOpsGenAIExperiment TrackingOpen Source

APIs

MLflow REST API

The MLflow tracking server exposes a REST API for experiments, runs, parameters, metrics, tags, registered models, model versions, model aliases, and artifacts, plus newer endpo...

MLflow AI Gateway API

The MLflow AI Gateway provides a unified HTTP interface to LLM providers with routing, rate-limiting, and secret management features.

Collections

MLflow Tracking REST API

OPEN

Pricing Plans

Mlflow Plans Pricing

1 plans

PLANS

Rate Limits

Mlflow Rate Limits

1 limits

RATE LIMITS

FinOps

Mlflow Finops

FINOPS

Resources

Databricks Managed MLflow

Sources

opencollection: 1.0.0
info:
  name: MLflow Tracking REST API
  version: '2.0'
items:
- info:
    name: Experiments
    type: folder
  items:
  - info:
      name: Create experiment
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/experiments/create
      body:
        type: json
        data: '{}'
    docs: Create experiment
  - info:
      name: Search experiments
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/experiments/search
      body:
        type: json
        data: '{}'
    docs: Search experiments
  - info:
      name: Get experiment
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/experiments/get
      params:
      - name: experiment_id
        value: ''
        type: query
    docs: Get experiment
  - info:
      name: Get experiment by name
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/experiments/get-by-name
      params:
      - name: experiment_name
        value: ''
        type: query
    docs: Get experiment by name
  - info:
      name: Delete experiment
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/experiments/delete
      body:
        type: json
        data: '{}'
    docs: Delete experiment
  - info:
      name: Restore experiment
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/experiments/restore
      body:
        type: json
        data: '{}'
    docs: Restore experiment
  - info:
      name: Update experiment
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/experiments/update
      body:
        type: json
        data: '{}'
    docs: Update experiment
- info:
    name: Runs
    type: folder
  items:
  - info:
      name: Create run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/create
      body:
        type: json
        data: '{}'
    docs: Create run
  - info:
      name: Update run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/update
      body:
        type: json
        data: '{}'
    docs: Update run
  - info:
      name: Get run
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/runs/get
      params:
      - name: run_id
        value: ''
        type: query
    docs: Get run
  - info:
      name: Search runs
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/search
      body:
        type: json
        data: '{}'
    docs: Search runs
  - info:
      name: Delete run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/delete
      body:
        type: json
        data: '{}'
    docs: Delete run
  - info:
      name: Restore run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/restore
      body:
        type: json
        data: '{}'
    docs: Restore run
- info:
    name: Metrics
    type: folder
  items:
  - info:
      name: Log a metric for a run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/log-metric
      body:
        type: json
        data: '{}'
    docs: Log a metric for a run
  - info:
      name: Log a parameter for a run
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/log-parameter
      body:
        type: json
        data: '{}'
    docs: Log a parameter for a run
  - info:
      name: Log a batch of metrics, params, and tags
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/runs/log-batch
      body:
        type: json
        data: '{}'
    docs: Log a batch of metrics, params, and tags
  - info:
      name: Get metric history
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/metrics/get-history
      params:
      - name: run_id
        value: ''
        type: query
      - name: metric_key
        value: ''
        type: query
    docs: Get metric history
- info:
    name: Artifacts
    type: folder
  items:
  - info:
      name: List artifacts for a run
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/artifacts/list
      params:
      - name: run_id
        value: ''
        type: query
      - name: path
        value: ''
        type: query
    docs: List artifacts for a run
  - info:
      name: Get presigned URL for artifact upload
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/artifacts/presigned-upload-url
      body:
        type: json
        data: '{}'
    docs: Get presigned URL for artifact upload
- info:
    name: Registered Models
    type: folder
  items:
  - info:
      name: Create registered model
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/registered-models/create
      body:
        type: json
        data: '{}'
    docs: Create registered model
  - info:
      name: Get registered model
      type: http
    http:
      method: GET
      url: http://localhost:5000/api/2.0/mlflow/registered-models/get
      params:
      - name: name
        value: ''
        type: query
    docs: Get registered model
  - info:
      name: Search registered models
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/registered-models/search
      body:
        type: json
        data: '{}'
    docs: Search registered models
- info:
    name: Model Versions
    type: folder
  items:
  - info:
      name: Create model version
      type: http
    http:
      method: POST
      url: http://localhost:5000/api/2.0/mlflow/model-versions/create
      body:
        type: json
        data: '{}'
    docs: Create model version
bundled: true