AI service

1# yaml-language-server: $schema=../schema/kind.schema.json
2# A metered vendor endpoint with quota, content filtering and data-handling settings, unlike ml-inference which is a model you deploy on replicas you size. contentFiltering, publicEndpoint, dataRetentionDays and auth have no default so governance rules can catch what was never declared; keyStore and viaGateway say whether the key sits in a key-management component and whether calls pass an AI gateway.
3schemaVersion: "1"
4type: "kind"
5id: "ai-service"
6category: "compute"
7properties:
8  modality:
9    type: "enum"
10    values: ["text", "vision", "speech", "multimodal", "structured", "image", "video", "audio", "embedding", "rerank"]
11  contentFiltering:
12    type: "boolean"
13  publicEndpoint:
14    type: "boolean"
15  dataRetentionDays:
16    type: "integer"
17  customerManagedKeys:
18    type: "boolean"
19  quotaUnitsPerMinute:
20    type: "integer"
21  auth:
22    type: "enum"
23    values: ["api-key", "oauth", "iam", "none"]
24  keyStore:
25    type: "boolean"
26    default: false
27  viaGateway:
28    type: "boolean"
29    default: false
30  rateLimitRpm:
31    type: "integer"
32    advanced: true
33  rateLimitTpm:
34    type: "integer"
35    advanced: true
36  dataResidency:
37    type: "enum"
38    values: ["us", "eu", "asia", "global"]
39    advanced: true
40  managed:
41    type: "boolean"
42    default: false