Adobe Suite

Adobe Suite Engines API

Engines act as an umbrella entity holding all machine learning instances. This is tied to a Docker image, Java archive, or EGG file which contains machine learning logic to train and score a Model.

Documentation GitHub OpenAPI

Business capability

Artificial Intelligence Management BC-610.60

Operations 6

Each operation below carries the questions people ask an LLM about it and the instructions they give an agent to run it. Generated by API Evangelist overlay

GET /engines List Sensei ML engines · List all engines #

Ask an LLM

“Which machine learning engines have been onboarded in my organization?”

“Can I filter and sort the list of Sensei engines?”

Tell an agent

List all Sensei engines.

Show {limit} engines matching {property}, sorted by {orderby}.

POST /engines Create a Sensei ML engine · Create a new Engine #

Ask an LLM

“How do I onboard a new ML engine with a JAR or EGG artifact?”

“Can I supply a separate artifact just for the train step?”

Tell an agent

Create an engine described by {engine} using artifact {defaultArtifact}.

Create engine {engine} with default artifact {defaultArtifact} and training artifact {trainOverrideArtifact}.

GET /engines/dockerRegistry Get Docker registry details for engines · Get Docker registry information #

Ask an LLM

“What Docker registry should I push my engine images to?”

“Where do I find the registry credentials for Sensei engine containers?”

Tell an agent

Get the Docker registry information for Sensei engines in sandbox {sandbox}.

Show me the container registry I should use for my ML engine images.

GET /engines/{engineId} Get a Sensei ML engine · Retrieve an Engine #

Ask an LLM

“What algorithm and language does a particular engine use?”

“Can I look up one engine by its ID?”

Tell an agent

Show engine {engineId}.

Get the details of Sensei engine {engineId}.

PUT /engines/{engineId} Update a Sensei ML engine · Update an Engine #

Ask an LLM

“How do I rename an existing engine or change its description?”

“Can I update an engine's documentation URL?”

Tell an agent

Rename engine {engineId} to {name}.

Update engine {engineId} with name {name} and docs at {documentationUrl}.

DELETE /engines/{engineId} Delete a Sensei ML engine · Delete an existing Engine #

Ask an LLM

“How do I remove an engine I no longer need?”

“Can I delete a specific Sensei engine by ID?”

Tell an agent destructive · confirm first

Delete engine {engineId}.

Remove Sensei engine {engineId}.

Documentation

https://developer.adobe.com/photoshop/api/docs/

https://developer.adobe.com/developer-console/docs/guides/authentication/

https://developer.adobe.com/lightroom/api/docs/

https://developer.adobe.com/illustrator/api/docs/

https://developer.adobe.com/indesign/docs/

https://developer.adobe.com/document-services/docs/overview/pdf-services-api/

https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/

https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/gettingstarted/

https://developer.adobe.com/document-services/docs/overview/pdf-accessibility-auto-tag-api/

https://developer.adobe.com/analytics-apis/docs/

https://developer.adobe.com/analytics-apis/docs/2.0/

https://developer.adobe.com/firefly-services/docs/

https://developer.adobe.com/firefly-services/docs/api/

https://developer.adobe.com/audio-video-firefly-services/

https://developer.adobe.com/audio-video-firefly-services/getting-started/

https://developer.adobe.com/creative-cloud-libraries/docs/

https://developer.adobe.com/creative-cloud-libraries/docs/api/

https://developer.adobe.com/express/embed-sdk/docs/guides/

https://developer.adobe.com/express/embed-sdk/docs/v4/

https://developer.adobe.com/express/embed-sdk/docs/guides/quickstart/

https://developer.adobe.com/experience-platform-apis/

https://experienceleague.adobe.com/en/docs/experience-platform/landing/platform-apis/api-guide

https://developer.adobe.com/marketo-apis/

https://experienceleague.adobe.com/en/docs/marketo-developer/marketo/rest/authentication

https://developer.adobe.com/commerce/docs/

https://developer.adobe.com/commerce/webapi/get-started/

https://developer.adobe.com/experience-cloud/cloud-manager/

https://developer.adobe.com/journey-optimizer-apis/

https://developer.adobe.com/workfront-apis/

https://developer.adobe.com/firefly-services/docs/substance3d/

https://developer.adobe.com/data-collection-apis/

https://developer.adobe.com/adobe-status/

https://developer.adobe.com/vip-marketplace/

Specifications

https://raw.githubusercontent.com/api-evangelist/adobe-suite/refs/heads/main/openapi/adobe-suite-engines-api-openapi.yml

Other Resources

https://developer.adobe.com/document-services/pricing/

https://developer.adobe.com/document-services/docs/overview/pdf-services-api/sdks/

https://developer.adobe.com/document-services/docs/overview/pdf-services-api/releasenotes

https://developer.adobe.com/analytics-apis/docs/2.0/guides/

https://developer.adobe.com/firefly-services/docs/guides/

https://developer.adobe.com/audio-video-firefly-services/getting_started/usage/

https://developer.adobe.com/creative-cloud-libraries/docs/overview/

Integration Guide

https://developer.adobe.com/creative-cloud-libraries/docs/integrate/

API Fundamentals

https://experienceleague.adobe.com/en/docs/experience-platform/landing/platform-apis/api-fundamentals

Developer Guide

https://experienceleague.adobe.com/en/docs/marketo-developer/marketo/home

https://experienceleague.adobe.com/en/docs/marketo-developer/marketo/rest/rest-api

https://developer.adobe.com/commerce/webapi/rest/

https://developer.adobe.com/commerce/webapi/graphql-api/

REST API Reference

https://developer.adobe.com/commerce/webapi/reference/rest/paas/

https://raw.githubusercontent.com/api-evangelist/adobe-suite/refs/heads/main/graphql/adobe-suite-graphql.md

https://developer.adobe.com/experience-cloud/cloud-manager/guides/getting-started/create-event-integration/

https://status.adobe.com/

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Sensei Machine Learning Engines API
  description: Sensei Machine Learning API provides a mechanism for data scientists to organize and manage ML services from algorithm onboarding through experimentation and to service deployment.
  version: '1.0'
servers:
- url: //{environment}.adobe.io/data/sensei
  variables:
    environment:
      default: platform
      enum:
      - platform
      - platform-stage
tags:


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# Full source: https://raw.githubusercontent.com/api-evangelist/adobe-suite/refs/heads/main/openapi/adobe-suite-engines-api-openapi.yml