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

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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
This commit is contained in:
Kjell Tore Guttormsen 2026-06-19 06:22:48 +02:00
commit 41b390b38d
15 changed files with 69 additions and 30 deletions
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9
skills/ms-ai-engineering/references/azure-ai-services/ai-services-enterprise-architecture.md
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@ -1,5 +1,5 @@
# Azure AI Services - Enterprise Architecture Patterns
**Last updated:** 2026-05 | Verified: MCP 2026-05
**Last updated:** 2026-06-19 | Verified: MCP 2026-06
**Status:** GA
**Category:** Azure AI Services (Foundry Tools)
@ -52,6 +52,13 @@ Azure AI Services (tidligere Cognitive Services) krever robuste enterprise-arkit
- Session affinity for conversational agents
- Health probes og automatic retry uten client-side delay
**Multi-provider og governance (MCP 2026-06):**
- AI gateway medierer nå flere LLM-skjemaer: OpenAI Chat Completions/Responses, **Anthropic Messages API** (API Management v2-tiers) og **Google Vertex AI** — i tillegg til modeller i Microsoft Foundry og ikke-Microsoft-leverandører (f.eks. Amazon Bedrock)
- **Unified model API (preview):** eksponerer flere backends gjennom ett OpenAI-kompatibelt endepunkt med automatisk format-oversettelse og felles policy-governance på tvers av modeller
- Styrer også **MCP-servere** og **A2A-agent-APIer** som backends, ikke bare språkmodeller
- **AI gateway i Microsoft Foundry (preview):** governance av modeller, agenter og verktøy direkte fra Foundry-miljøet (token-kvoter, throttling, content safety, telemetri i Foundry/Application Insights)
- Semantisk caching via **Azure Managed Redis** (RediSearch-kompatibel) med `llm-semantic-cache-store`/`-lookup`-policyer
**VIKTIG:** APIM circuit breaker for Azure OpenAI må håndtere `429 Too Many Requests` og respektere `Retry-After`-headeren (kan være opptil 24 timer).
### 3. Azure AI Search