← KI / AI API
AITrainingDatasets
Singular: AITrainingDataset — Base-URL: https://ai.ayoune.app — Zugriff: CRUD
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beta
Response (live)
Requests werden über den consumer-app Proxy an *.ayoune.app weitergeleitet. Tokens bleiben im Browser und werden pro Call mitgesendet.
Beispiel-Response (aufgezeichnet) Beispiel
Eine echte, zuvor aufgezeichnete GET /:id-Antwort dieses Endpunkts — nicht der Live-Call oben. Sensible Felder sind maskiert.
{
"payload": {
"lock": {
"isLocked": false
},
"_id": "6a62dc172c0a4c8141733950",
"_customerID": "5ee06fc2860473001cfb290a",
"_clientID": [],
"_subID": [],
"name": "REGULAR_TEAL_ROOS TARPALS",
"curationStatus": "draft",
"isDraft": true,
"g_participants": [],
"g_restrict": false,
"g_restrictUsers": [],
"g_restrictTeams": [],
"createdBy": "6045f4d25704710012485569",
"createdAt": "2026-07-24T03:29:27.859Z",
"updatedAt": "2026-07-24T03:29:27.859Z",
"__v": 0
},
"meta": {
"links": [
{
"rel": "self",
"href": "https://ai.ayoune.app/aitrainingdatasets/6a62dc172c0a4c8141733950",
"method": "get",
"title": "GET",
"types": [
"application/json",
"application/yaml",
"text/csv"
]
}
],
"relations": [],
"errors": [],
"actions": [],
"version": {
"host": "2026.131.3",
"core": "2026.258.0"
},
"rateLimit": {
"limit": "10000",
"remaining": "9840",
"reset": "1784867355",
"resetDate": "Fri Jul 24 2026"
},
"responseTime": 70.654239,
"code": 200,
"status": "success",
"error": false
}
}
Endpunkte
| Methode | Path | Beschreibung | Right |
|---|---|---|---|
| GET | /aitrainingdatasets |
Liste mit Filtern/Paginierung | ai.aitrainingdatasets.view |
| GET | /aitrainingdatasets/:id |
Einzelner Datensatz | ai.aitrainingdatasets.view |
| POST | /aitrainingdatasets |
Neuen Datensatz erstellen | ai.aitrainingdatasets.new |
| PUT | /aitrainingdatasets |
Datensatz aktualisieren | ai.aitrainingdatasets.edit |
| DELETE | /aitrainingdatasets/:id |
Datensatz löschen | ai.aitrainingdatasets.delete |
SDK
import { aYOUne } from '@tolinax/ayoune';
const ay = new aYOUne('pat_your_token');
// Alle abrufen
const list = await ay.ai.aITrainingDatasets.find().limit(10).exec();
// Einzelnen Datensatz
const one = await ay.ai.aITrainingDatasets.findById('OBJECT_ID').exec();
// Erstellen
const created = await ay.ai.aITrainingDatasets.create({ name: 'Foo' });