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-advisor/references/prompt-engineering/real-time-reasoning-performance.md

@@ -1,6 +1,6 @@
 # Real-Time Reasoning and Performance Optimization
 
-**Last updated:** 2026-02
+**Last updated:** 2026-04 | Verified: MCP 2026-04
 **Status:** GA (Realtime API: Public Preview)
 **Category:** Prompt Engineering & LLM Optimization
 
@@ -307,6 +307,25 @@ Deployment C: Chatbot (variabel prompt, medium output)
   - **Non-streaming:** End-to-end Request Time
   - **Streaming:** Time to Response (TTFT), Average Token Generation Rate
 
+### Azure Speech Service (TTS Latency)
+
+**Teknikker for å redusere speech synthesis latency (Verified MCP 2026-04):**
+
+| Teknikk | Effekt |
+|---------|--------|
+| **Streaming (AudioDataStream)** | Start avspilling ved første audio-chunk; ikke vent på komplett audio |
+| **Pre-connect** | Åpne WebSocket-forbindelsen proaktivt mens bruker snakker; kall `SpeakTextAsync` når svar er klart |
+| **Gjenbruk SpeechSynthesizer** | Unngå ny TCP/SSL/HTTP-handshake per request; bruk object pool |
+| **Komprimert lyd** | MP3 (48kbps) vs PCM (384kbps) — 87% lavere nettverkspayload for mobil/ustabile nettverk |
+| **Text streaming (WebSocket v2)** | Send GPT-output til TTS chunk for chunk via `wss://{region}.tts.speech.microsoft.com/cognitiveservices/websocket/v2`. Ideelt for real-time AI-dialoger. |
+
+**Latency-metrikker fra Speech SDK:**
+- `first byte client latency` — fra syntese starter til første audio-chunk mottas (inkl. nettverks-RTT)
+- `finish client latency` — fra syntese starter til all lyd er mottatt
+- `first byte service latency` — behandlingstid på Azure TTS-siden
+
+**Anbefaling:** For sanntids AI-dialoger (GPT + TTS), kombiner Realtime API (audio in/out) med Speech SDK text streaming for hybrid norsk/engelsk-løsninger.
+
 ### Copilot Studio
 
 **Relevans:** Copilot Studio kan integrere Azure OpenAI custom models via Power Platform connectors.
@@ -477,9 +496,9 @@ Deployment C: Chatbot (variabel prompt, medium output)
    [https://learn.microsoft.com/en-us/azure/ai-foundry/openai/realtime-audio-quickstart](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/realtime-audio-quickstart)
    Hentet: januar 2026. Kode-eksempler for Python, JavaScript, deployment steps.
 
-4. **Lower speech synthesis latency using Speech SDK**
+4. **Lower speech synthesis latency using Speech SDK** (Re-verified MCP 2026-04)
    [https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency)
-   Hentet: januar 2026. Dekker text streaming for TTS (komplementær til Realtime API).
+   Hentet: januar 2026, re-verified april 2026. Dekker: first byte latency vs finish latency, streaming via AudioDataStream, pre-connect og SpeechSynthesizer-gjenbruk (object pool), komprimert lyd (MP3 48kbps vs PCM 384kbps), text streaming via WebSocket v2 (wss endpoint) for real-time GPT-output vocalization.
 
 **Verification steps:**
 
@@ -487,6 +506,7 @@ Deployment C: Chatbot (variabel prompt, medium output)
 2. ✅ **Realtime API models:** Bekreftet at `gpt-4o-mini-realtime-preview` og `gpt-4o-realtime-preview` er tilgjengelige i East US 2 / Sweden Central.
 3. ✅ **VAD modes:** Bekreftet at `server_vad`, `semantic_vad`, og `none` er supported turn detection types.
 4. ✅ **Latency metrics:** Bekreftet at Time to Response (TTFT) og Average Token Generation Rate er recommended metrics for streaming.
+5. ✅ **Speech latency:** first byte client latency og AudioDataStream-streaming bekreftet. Text streaming via WebSocket v2 bekreftet for C#, Python.
 5. ⚠️ **Pricing:** Audio token pricing ikke eksplisitt i dokumentasjon per januar 2026. Brukt representative estimates basert på historisk OpenAI pricing structure.
 
 **Confidence level:** Høy (✅) for tekniske detaljer, Middels (⚠️) for pricing og production-readiness av Realtime API (public preview).