chore(ms-ai-architect): refresh KB critical-bucket — 15 files [skip-docs]

KB-currency refresh (critical priority, 2026-06-19) via /architect:kb-update.
15 critical cost/arkitektur-filer re-verifisert mot Microsoft Learn (MCP).

Hovedendringer:
- Azure AI Search Serverless (Preview) prismodell (rag-cost, rag-query,
  vector-storage, rag-enterprise-scale)
- Agentic retrieval GA-split (2026-04-01 REST GA, portal preview) + Foundry IQ
- AI gateway multi-provider (Anthropic v2 / Google Vertex), unified model API
  (preview), Foundry-integrasjon (enterprise-arch, ai-services-cost,
  multi-model, cost-tracking)
- FOCUS-skjema + Cost Mgmt -> ADLS Gen2 -> Fabric -> Power BI pipeline
  (cost-management, cost-allocation)
- FinOps hub AI-agent via Azure MCP / Copilot Studio (budget-forecasting)
- OTel trace-based sampling for logs (observability)
- Korreksjoner: semantic-cache score-threshold = AVSTAND (0.15, ikke 0.85
  cosine-likhet); llm-emit-token-metric maks 5 custom dimensions;
  Foundry RBAC-renames (Owner/Contributor = kun mgmt); Researcher/Analyst er
  ikke agenter
- Alle 15 Last updated -> 2026-06-19

High-bucket (49 filer) UTSATT til egen sesjon (operatoer-valg).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-security/references/cost-optimization/multi-model-strategy-costs.md

@@ -1,6 +1,6 @@
 # Multi-Model Strategy: Cost-Performance Trade-offs
 
-**Last updated:** 2026-05 | Verified: MCP 2026-05
+**Last updated:** 2026-06-19 | Verified: MCP 2026-06
 **Status:** GA
 **Category:** Cost Optimization & FinOps for AI
 
@@ -51,6 +51,8 @@ For organisasjoner som ønsker mer kontroll, tilbyr custom gateway-løsninger (v
 - **Azure API Management:** PaaS-løsning med backend pools, circuit breaker, policy-basert routing
 - **Custom Code:** Full kontroll, typisk Azure Container Apps eller AKS, frontet av Azure Front Door/Traffic Manager
 
+**Multi-provider gateway (MCP 2026-06):** Azure API Managements AI gateway medierer nå også ikke-OpenAI-skjemaer — **Anthropic Messages API** (v2-tiers) og **Google Vertex AI** — i tillegg til Foundry-modeller, og tilbyr **unified model API (preview)**: ett OpenAI-kompatibelt endepunkt på tvers av leverandører med felles policy-governance. Relevant for multi-model-strategier som spenner over flere modell-leverandører, ikke bare flere Azure OpenAI-deployments.
+
 ## Arkitekturmønstre
 
 ### 1. Model Router: Managed Multi-Model Routing