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
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# Azure Cost Management and Budget Monitoring for AI
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**Last updated:** 2026-02
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**Last updated:** 2026-06-19
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**Status:** GA
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**Category:** Cost Optimization & FinOps for AI
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@ -131,6 +131,8 @@ Plattformen er gratis for alle Azure-kunder og integreres sømløst med Azure Po
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- **FinOps Hub**: Open-source accelerator fra Microsoft (Data Factory + Fabric) for advanced analytics
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- **Azure Data Explorer (ADX)**: Query cost data med KQL for AI-powered insights (Copilot integration)
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**FOCUS + moderne eksport-pipeline (MCP 2026-06):** Microsoft anbefaler nå **FOCUS** (FinOps Open Cost and Usage Specification) — et leverandør-agnostisk skjema — som eksport-template i Cost Management. Den skalerbare analyse-pipelinen er **Cost Management exports → ADLS Gen2 → Fabric Lakehouse → Power BI** (FOCUS-formatert, daglig schedule). For høyvolum-loggkostnader: bruk ingestion-time transformation i Azure Monitor for å filtrere før lagring. Cost Management beholder data i 13 måneder; eksporter til storage (cool/archive) for lengre historikk.
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### Azure Monitor & Log Analytics
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- **Activity Log**: Spor budsjett-opprettelse, endringer, alert-triggering
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