Ultralytics

Ultralytics Deployments API

Deploy models to dedicated inference endpoints with auto-scaling, health checks, and monitoring. See Endpoints documentation.

GitHub OpenAPI

Operations 9

GET /api/deployments/{owner}/{deployment} Get deployment details #
PATCH /api/deployments/{owner}/{deployment} Update a deployment #
DELETE /api/deployments/{owner}/{deployment} Delete a deployment #
GET /api/deployments/{owner}/{deployment}/health Check deployment health #
GET /api/deployments/{owner}/{deployment}/logs Get deployment logs #
GET /api/deployments/{owner}/{deployment}/metrics Get deployment metrics #
POST /api/deployments/{owner}/{deployment}/predict Run deployment inference #
GET /api/deployments/{owner} List deployments #
POST /api/deployments/{owner} Deploy a model #

Specifications

⚙
OpenAPI
https://artifacts.apis.io/ultralytics/openapi/ultralytics-deployments-api-openapi.yml

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OpenAPI Specification

ultralytics-deployments-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Ultralytics Platform Deployments API
  summary: Build, train, and deploy YOLO models with the Ultralytics Platform REST API.
  version: 0.1.84
  description: The Ultralytics Platform API lets you manage datasets, train models on cloud GPUs, deploy inference endpoints, and more — all from your own code. See the Quickstart to get started.
  termsOfService: https://www.ultralytics.com/legal/terms-of-service
  contact:
    name: Ultralytics
    url: https://www.ultralytics.com
  license:
    name: AGPL-3.0
    identifier: AGPL-3.0-only
    url: https://www.ultralytics.com/license
servers:
- url: https://platform.ultralytics.com
  description: Production
security:
- BearerAuth: []
tags:


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# Full source: https://artifacts.apis.io/ultralytics/openapi/ultralytics-deployments-api-openapi.yml