Adobe Suite Experiments API

A data scientist conducts multiple experiments to arrive at a high-performing Model while training. This can include changing datasets, features, learning parameters, and hardware.

Business capability
Artificial Intelligence Management BC-610.60

Operations 10

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 /experiments List machine learning experiments · Retrieve an MLInstance's experiments #
Ask an LLM
“Which Sensei ML experiments exist for my MLInstances?”
“Can I filter experiments by a property and sort them?”
Tell an agent
List all my ML experiments.
Show {limit} experiments matching {property}, sorted by {orderby}.
POST /experiments Create a machine learning experiment · Create an experiment #
Ask an LLM
“How do I create a new experiment for an MLInstance?”
“Can I tag an experiment when I create it?”
Tell an agent
Create an experiment named {name} for MLInstance {mlInstanceId}.
Create experiment {name} described as {description} with tags {tags}.
DELETE /experiments Delete all experiments for an MLInstance · Delete experiments by mlInstanceId #
Ask an LLM
“Can I wipe out every experiment belonging to one MLInstance in one call?”
“What's the bulk way to clear experiments for an MLInstance?”
Tell an agent destructive · confirm first
Delete all experiments for MLInstance {mlInstanceId}.
Clear every experiment under MLInstance {mlInstanceId}.
GET /experiments/{experimentId} Get a machine learning experiment · Retrieve an experiment #
Ask an LLM
“What MLInstance and workflow is a particular experiment tied to?”
“Can I look up one experiment by its ID?”
Tell an agent
Show experiment {experimentId}.
Get the details of ML experiment {experimentId}.
PUT /experiments/{experimentId} Update a machine learning experiment · Update an experiment #
Ask an LLM
“How do I rename an existing experiment?”
“Can I guard an experiment update with an ETag so I don't overwrite someone else's change?”
Tell an agent
Rename experiment {experimentId} to {name}.
Update experiment {experimentId} with name {name} and description {description}.
DELETE /experiments/{experimentId} Delete a machine learning experiment · Delete an experiment #
Ask an LLM
“How do I delete just one experiment?”
“Can I remove a single experiment without touching the others on its MLInstance?”
Tell an agent destructive · confirm first
Delete experiment {experimentId}.
Remove the single ML experiment {experimentId}.
GET /experiments/{experimentId}/runs List runs of an experiment · List experiment runs #
Ask an LLM
“Which training or scoring runs have been executed for an experiment?”
“Can I page through the runs of one experiment?”
Tell an agent
List the runs of experiment {experimentId}.
Show {limit} runs of experiment {experimentId} ordered by {orderby}.
POST /experiments/{experimentId}/runs Start an experiment run · Create an experiment run #
Ask an LLM
“How do I kick off a training run for an experiment?”
“Can I choose the run mode when starting an experiment run?”
Tell an agent
Start a run of experiment {experimentId}.
Create a {mode} run for experiment {experimentId} with tasks {tasks}.
GET /experiments/{experimentId}/runs/{experimentRunId} Get an experiment run · Retrieve experiment run information #
Ask an LLM
“What tasks did a specific experiment run include?”
“Can I see the full details of one run of an experiment?”
Tell an agent
Show run {experimentRunId} of experiment {experimentId}.
Get the information for experiment run {experimentRunId} under {experimentId}.
GET /experiments/{experimentId}/runs/{experimentRunId}/status Check an experiment run's status · Retrieve an experiment run status #
Ask an LLM
“Has my experiment run finished or is it still running?”
“Did a particular experiment run fail?”
Tell an agent
Check the status of run {experimentRunId} in experiment {experimentId}.
Tell me whether experiment run {experimentRunId} of {experimentId} is done.

Documentation

📖
Documentation
https://developer.adobe.com/photoshop/api/docs/
📖
Authentication
https://developer.adobe.com/developer-console/docs/guides/authentication/
📖
Documentation
https://developer.adobe.com/lightroom/api/docs/
📖
Documentation
https://developer.adobe.com/illustrator/api/docs/
📖
Documentation
https://developer.adobe.com/indesign/docs/
📖
Documentation
https://developer.adobe.com/document-services/docs/overview/pdf-services-api/
📖
Documentation
https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/
📖
GettingStarted
https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/gettingstarted/
📖
Documentation
https://developer.adobe.com/document-services/docs/overview/pdf-accessibility-auto-tag-api/
📖
Documentation
https://developer.adobe.com/analytics-apis/docs/
📖
APIReference
https://developer.adobe.com/analytics-apis/docs/2.0/
📖
Documentation
https://developer.adobe.com/firefly-services/docs/
📖
APIReference
https://developer.adobe.com/firefly-services/docs/api/
📖
Documentation
https://developer.adobe.com/audio-video-firefly-services/
📖
GettingStarted
https://developer.adobe.com/audio-video-firefly-services/getting-started/
📖
Documentation
https://developer.adobe.com/creative-cloud-libraries/docs/
📖
APIReference
https://developer.adobe.com/creative-cloud-libraries/docs/api/
📖
Documentation
https://developer.adobe.com/express/embed-sdk/docs/guides/
📖
APIReference
https://developer.adobe.com/express/embed-sdk/docs/v4/
📖
GettingStarted
https://developer.adobe.com/express/embed-sdk/docs/guides/quickstart/
📖
Documentation
https://developer.adobe.com/experience-platform-apis/
📖
GettingStarted
https://experienceleague.adobe.com/en/docs/experience-platform/landing/platform-apis/api-guide
📖
Documentation
https://developer.adobe.com/marketo-apis/
📖
Authentication
https://experienceleague.adobe.com/en/docs/marketo-developer/marketo/rest/authentication
📖
Documentation
https://developer.adobe.com/commerce/docs/
📖
GettingStarted
https://developer.adobe.com/commerce/webapi/get-started/
📖
Documentation
https://developer.adobe.com/experience-cloud/cloud-manager/
📖
Documentation
https://developer.adobe.com/journey-optimizer-apis/
📖
Documentation
https://developer.adobe.com/workfront-apis/
📖
Documentation
https://developer.adobe.com/firefly-services/docs/substance3d/
📖
Documentation
https://developer.adobe.com/data-collection-apis/
📖
Documentation
https://developer.adobe.com/adobe-status/
📖
Documentation
https://developer.adobe.com/vip-marketplace/

Specifications

Other Resources

🔗
Pricing
https://developer.adobe.com/document-services/pricing/
🔗
SDKs
https://developer.adobe.com/document-services/docs/overview/pdf-services-api/sdks/
🔗
ReleaseNotes
https://developer.adobe.com/document-services/docs/overview/pdf-services-api/releasenotes
🔗
Guides
https://developer.adobe.com/analytics-apis/docs/2.0/guides/
🔗
Guides
https://developer.adobe.com/firefly-services/docs/guides/
🔗
Usage Notes
https://developer.adobe.com/audio-video-firefly-services/getting_started/usage/
🔗
Overview
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
🔗
REST API
https://experienceleague.adobe.com/en/docs/marketo-developer/marketo/rest/rest-api
🔗
REST API
https://developer.adobe.com/commerce/webapi/rest/
🔗
GraphQL API
https://developer.adobe.com/commerce/webapi/graphql-api/
🔗
REST API Reference
https://developer.adobe.com/commerce/webapi/reference/rest/paas/
🔗
GraphQL
https://raw.githubusercontent.com/api-evangelist/adobe-suite/refs/heads/main/graphql/adobe-suite-graphql.md
🔗
Webhooks
https://developer.adobe.com/experience-cloud/cloud-manager/guides/getting-started/create-event-integration/
🔗
StatusPage
https://status.adobe.com/

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OpenAPI Specification

adobe-suite-experiments-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Sensei Machine Learning Experiments 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-experiments-api-openapi.yml