fix(ms-ai-architect): Foundry URL-navnerom-migrering (ai-foundry → foundry/foundry-classic, 141 filer)

Task #5 del 1/3 (URL-migrering). Verifiseringen motbeviste STATE.md-premisset om ren prefix-swap: rebrand er per-URL, ikke mekanisk. En blind sed ai-foundry→foundry ville lagd 56 nye 404-er (classic-stiene finnes ikke under nytt foundry/-prefiks — bekreftet empirisk).

Metode: resolverte alle 237 unike KB-URLer mot live redirects (curl -L), bygde full-URL→full-URL-mapping fra faktisk url_effective. Bevarer locale-form, query (?view=) og #fragment per lenke.

- 231 navnerom-erstatninger over 141 filer (408 forekomster):
  - 161 → azure/foundry/ (98 ren prefix-swap + 10 sti-reorg + reorg-tilfeller)
  - 69 → azure/foundry-classic/ (eldre hub-spor: assistants, hub-DR, on-your-data; faktisk redirect-mål per operatorvalg)
  - 1 → azure/foundry-local/

- 2 døde lenker (404) fikset til verifiserte mål:
  - agent-service → azure/foundry/agents/overview
  - concepts/evaluation-evaluators/ → azure/foundry/how-to/evaluate-generative-ai-app

- 5 path-/display-referanser (uten https://, i backticks/lenketekst) rettet manuelt.

- 6 slug-baserte ai-foundry-treff urørt (scope-grense): managed-grafana-dashboard, security-baseline, power-platform prompt-builder, architecture baseline-chat (sistnevnte slug-rebrand i annet navnerom — mulig fremtidig funn).

- Parkert til task #5 del 2/3: Norway East GPT-5-datasuverenitet-fiks + modellkatalog-utvidelse (5.3/5.4/5.5, gpt-oss, sora-2).

Verifisert: 0 gjenværende azure/ai-foundry/-navnerom i skills/. validate-plugin.sh 219 PASS. test-kb-integrity.sh 117/117 passed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-engineering/references/agent-orchestration/agent-evaluation-testing-frameworks.md

@@ -482,19 +482,19 @@ results = mlflow.genai.evaluate(
 ### Microsoft Learn (MCP-verified)
 
 1. **Evaluate your AI agents (preview)**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/develop/agent-evaluate-sdk?view=foundry-classic
+   https://learn.microsoft.com/en-us/azure/foundry-classic/how-to/develop/agent-evaluate-sdk?view=foundry-classic
    *Confidence: Verified* — Hovedreferanse for Azure AI Evaluation SDK, evaluator types, model support
 
 2. **Continuously evaluate your AI agents (preview)**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/continuous-evaluation-agents?view=foundry-classic
+   https://learn.microsoft.com/en-us/azure/foundry-classic/how-to/continuous-evaluation-agents?view=foundry-classic
    *Confidence: Verified* — Continuous evaluation setup, sampling configuration, Application Insights integration
 
 3. **Run evaluations in the cloud by using the Microsoft Foundry SDK**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/develop/cloud-evaluation?view=foundry-classic
+   https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/cloud-evaluation?view=foundry-classic
    *Confidence: Verified* — Cloud batch evaluation, CI/CD integration, dataset formats
 
 4. **Tutorial: Idea to prototype - Build and evaluate an enterprise agent**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/tutorials/developer-journey-idea-to-prototype?view=foundry
+   https://learn.microsoft.com/en-us/azure/foundry/tutorials/developer-journey-idea-to-prototype?view=foundry
    *Confidence: Verified* — End-to-end tutorial med cloud evaluation, built-in evaluators
 
 5. **Test and evaluate AI workloads on Azure (Well-Architected Framework)**
@@ -502,15 +502,15 @@ results = mlflow.genai.evaluate(
    *Confidence: Verified* — Agentic workflow testing strategy, tool call validation, security testing
 
 6. **Observability in generative AI**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/observability
+   https://learn.microsoft.com/en-us/azure/foundry/concepts/observability
    *Confidence: Verified* — Built-in evaluators list, GenAIOps evaluation stages, simulators
 
 7. **What are hosted agents? (Evaluate and test hosted agents)**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/agents/concepts/hosted-agents?view=foundry#evaluate-and-test-hosted-agents
+   https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/hosted-agents?view=foundry#evaluate-and-test-hosted-agents
    *Confidence: Verified* — Hosted agent evaluation best practices, test dataset creation
 
 8. **Agent evaluators**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/evaluation-evaluators/agent-evaluators?view=foundry
+   https://learn.microsoft.com/en-us/azure/foundry/concepts/evaluation-evaluators/agent-evaluators?view=foundry
    *Confidence: Verified* — Agent-specific evaluator details (Intent Resolution, Task Adherence, Tool Call Accuracy)
 
 9. **Evaluate and monitor AI agents (MLflow 3 on Databricks)**