docs(architect): weekly KB update — 106 files refreshed (2026-04)

Updates across all 5 skills: ms-ai-advisor, ms-ai-engineering,
ms-ai-governance, ms-ai-security, ms-ai-infrastructure.

Key changes:
- Language Services (Custom Text Classification, Text Analytics, QnA):
  retirement warning 2029-03-31, migration guides to Foundry/GPT-4o
- Agentic Retrieval: 50M free reasoning tokens/month (Public Preview)
- Computer Use: Claude Sonnet 4.5 (preview) + OpenAI CUA models
- Agent Registry: Risks column (M365 E7), user-shared/org-published types
- Declarative agents: schema v1.5 → v1.6, Store validation requirements
- MLflow 3: 13 built-in LLM judges, production monitoring, Genie Code
- AG-UI HITL: ApprovalRequiredAIFunction (C#) + @tool(approval_mode) (Python)
- Entra ID Ignite 2025: Agent ID Admin/Developer RBAC roles, Conditional Access
- Security Copilot: 400 SCU/month per 1000 M365 E5 licenses, auto-provisioned
- Fast Transcription API: phrase lists, 14-language multi-lingual transcription
- Azure Monitor Workbooks: Bicep support, RBAC specifics
- Power Platform Copilot: data residency (Norway/Europe → EU DB, Bing → USA)
- RAG security-rbac: 4-approach table (GA + 3 preview access control methods)
- IaC MLOps: Well-Architected OE:05 principles, Bicep/Terraform patterns
- Translator: image file batch translation Preview (JPEG/PNG/BMP/WebP)

All 106 files: Last updated 2026-04 | Verified: MCP 2026-04

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

skills/ms-ai-engineering/references/agent-orchestration/semantic-kernel-agents-implementation.md

@@ -1,6 +1,6 @@
 # Semantic Kernel and Microsoft Agent Framework - Implementation Patterns
 
-**Last updated:** 2026-02
+**Last updated:** 2026-04 | Verified: MCP 2026-04
 **Status:** GA (Agent Orchestration: Experimental)
 **Category:** Agent Orchestration & Automation
 
@@ -235,6 +235,12 @@ Trenger du OpenAI Assistants API features (code interpreter, retrieval)?
 
 ### Velg Orchestration Pattern
 
+**Foer du velger multi-agent pattern:** Evaluer om scenariet faktisk krever det. Hvert kompleksitetsnivaa introduserer koordinerings-overhead, latens og kostnad. Bruk laveste kompleksitetsnivaa som tilfredsstillende loser problemet:
+
+1. **Direct model call** — klassifisering, oppsummering, oversettelse (ingen agent)
+2. **Single agent med tools** — varierte spoerringsmaal innen ett domene (ofte riktig default)
+3. **Multi-agent orchestration** — cross-domain, ulike sikkerhetsbegrensninger, eller oppgaver som drar nytte av parallell spesialisering
+
 | Scenario | Anbefalt Pattern | Hvorfor |
 |----------|------------------|---------|
 | Uavhengige subtasks | Concurrent | Parallell utførelse, redusert total tid |
@@ -459,7 +465,7 @@ Kernel agentKernel = sharedKernel.Clone();  // Rebruk AI service connections
 5. [Microsoft Agent Framework Overview](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview) — Confidence: Verified (2026-02)
 6. [Magentic Orchestration Pattern](https://learn.microsoft.com/en-us/agent-framework/user-guide/workflows/orchestrations/magentic) — Confidence: Verified (2026-02)
 7. [Microsoft 365 Agents SDK - Semantic Kernel Integration](https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/using-semantic-kernel-agent-framework) — Confidence: Verified (2026-02)
-8. [AI Agent Orchestration Patterns (Azure Architecture)](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/ai-agent-design-patterns) — Confidence: Verified (2026-02)
+8. [AI Agent Orchestration Patterns (Azure Architecture)](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/ai-agent-design-patterns) — Confidence: Verified (oppdatert 2026-04: start med riktig kompleksitetsnivaa — direct model call, single agent med tools, multi-agent; guidance om naar multi-agent er hensiktsmessig)
 
 ### Kodeeksempler (Verified via MCP Code Search)