docs(architect): weekly KB update — 66 files refreshed (2026-04)
Updated 66 stale knowledge base reference files (10 critical, 56 high) across all 5 skills using Microsoft Learn MCP research. Key factual updates: - Groundedness Detection API: `correction` → `mitigating` param, `correctedText` → `correctionText` (breaking change) - Copilot Studio: GPT-4.1 mini now default (was GPT-4o mini); Claude Sonnet 4.5 + Opus 4.5 added (experimental, 200K ctx) - Agentic Retrieval: still public preview; 50M free tokens/month - Azure security baselines: "Cognitive Services" → "Foundry Tools" - Databricks: Delta Live Tables → Lakeflow Spark Declarative Pipelines - MLflow 3 GenAI: new Feedback/Expectation data model - Token tracking doc: "Azure OpenAI in Foundry Models through a gateway" - Agent Registry: Risks column (M365 E7), Graph API (preview) - Copilot DLP: new Entra AI Admin + Purview Data Security AI Admin roles - ISO/IEC 42001: scope expanded to M365 Copilot, Foundry, Security Copilot - Zero Trust: CAE now via Conditional Access, Strict Location Enforcement - Purview: new Fabric Copilots/agents governance section - AG-UI HITL: ApprovalRequiredAIFunction (C#), @tool approval_mode (Python) All files: Last updated → 2026-04, *(Verified MCP 2026-04)* markers added. Build registry: 1341 URLs from 387 files (+2 new URLs). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# Prompt Engineering and Governance for Copilot
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**Last updated:** 2026-02
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**Last updated:** 2026-04
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**Status:** GA
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**Category:** Copilot Extensibility & Integration
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@ -167,10 +167,17 @@ For komplekse oppgaver: gi 2-3 eksempler som dekker edge cases
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- Agent har tydelig single purpose (e.g., "IT helpdesk agent")
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- Samme tone/stil ønskes i alle dialoger
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### Mønster 2: Topic-level prompts (Copilot Studio)
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### Mønster 2: Topic-level prompts (Copilot Studio) *(Verified MCP 2026-04)*
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**Bruksområde:** Spesialisert logikk for én spesifikk dialog-flow
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**Oppdatert implementasjon (nlu-prompt-node):**
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- Prompts kan legges til på agent-nivå (Tools → New tool → Prompt) eller topic-nivå (Add node → Add a tool → New prompt)
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- Prompts kan også legges til som noder i agent flows (Insert new action → AI capabilities → Run a prompt)
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- Prompt-editoren støtter: manuell instruksjonsskrift, Copilot-genererte instruksjoner, og preset-maler fra prompt library
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- Konfigurerbart: modell (inkl. Azure AI Foundry-modeller), temperature, knowledge retrieval, code interpreter, reasoning
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- Agenter konfigurert for anonym bruk (no auth) kan ikke bruke Dataverse som knowledge source i prompts
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**Implementasjon:**
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1. Åpne topic → **Add node** → **Add a tool** → **New prompt**
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2. Definer prompt med context fra topic variables
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@ -297,13 +304,20 @@ START: Skal vi tillate Copilot i virksomheten?
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- **Dataverse knowledge integration:** Prompt kan grunde i Dataverse tables (krever autentisering)
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- **Prompt library:** 40+ pre-built templates for vanlige scenarios (document extraction, text transformation, content generation)
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**Integrasjonsmønster:**
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**Integrasjonsmønster *(Verified MCP 2026-04)*:**
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1. Opprett prompt i Copilot Studio (Tools → New tool → Prompt)
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2. Konfigurer input variables (text, image, document)
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3. Legg til knowledge source (Dataverse table, SharePoint site)
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4. Test med sample data
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5. Bruk i topic (Add node → Add a tool → [din prompt])
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**Prompt library (oppdatert):**
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- Tilgjengelig via Copilot Studio (Tools → New tool → Prompt → Prompt library) eller AI Hub i Power Apps/Power Automate
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- Maler dekker kategorier: Common, Customer service, Legal, Marketing, Communications, IT, Learning, HR, Finance, Architecture, Sales
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- Oppgavetyper: Analyze, Classify, Create, Extract, Summarize
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- Maler kan redigeres og lagres med nytt navn; støtter Text og JSON output-format
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- Valg av GPT-modell og temperature per mal
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### Microsoft 365 Copilot + Declarative Agents
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Declarative agents bruker **app manifest** (JSON) til å definere instructions, knowledge sources, og actions (API plugins). Dette integrerer med:
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@ -557,15 +571,15 @@ For advanced scenarios kan du deploye custom model fra Azure AI Foundry og bruke
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**Prompt engineering:**
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- [Write effective instructions for declarative agents](https://learn.microsoft.com/en-us/microsoft-365-copilot/extensibility/declarative-agent-instructions) – **Verified** (detailed best practices, example instructions)
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- [Use prompts in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node) – **Verified** (agent-level vs topic-level prompts)
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- [Use prompts in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node) – **Verified** (agent-level vs topic-level prompts) *(Verified MCP 2026-04)*
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- [Write effective prompts for Azure Copilot](https://learn.microsoft.com/en-us/azure/copilot/write-effective-prompts) – **Verified** (Azure-specific prompt guidance)
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- [Prompt library in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-library) – **Verified** (40+ templates, job types)
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- [Prompt library in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-library) – **Verified** (40+ templates, job types) *(Verified MCP 2026-04)*
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- [Best practices for declarative agents](https://learn.microsoft.com/en-us/microsoft-365-copilot/extensibility/declarative-agent-best-practices) – **Verified** (component-level guidance)
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**Governance:**
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- [Copilot Control System security and governance](https://learn.microsoft.com/en-us/copilot/microsoft-365/copilot-control-system/security-governance) – **Verified** (foundational vs optimized controls)
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- [Copilot governance in Power Platform](https://learn.microsoft.com/en-us/power-platform/release-plan/2025wave1/power-platform-governance-administration/copilot-governance) – **Verified** (admin capabilities, compliance)
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- [Data loss prevention for Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/admin-data-loss-prevention) – **Verified** (DLP policies, tenant-level controls)
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- [Data loss prevention for Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/admin-data-loss-prevention) – **Verified** (DLP policies, tenant-level controls) *(Verified MCP 2026-04)*
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- [Managed scheduled prompts for M365 Copilot](https://learn.microsoft.com/en-us/copilot/microsoft-365/scheduled-prompts) – **Verified** (admin management)
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**Responsible AI:**
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