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
2026-06-18 13:37:06 +02:00 · 2026-06-18 13:37:06 +02:00 · dd1036ab8a
commit dd1036ab8a
parent 84e3cfaa03
141 changed files with 399 additions and 399 deletions
--- a/skills/ms-ai-security/references/cost-optimization/azure-ai-foundry-cost-governance.md
+++ b/skills/ms-ai-security/references/cost-optimization/azure-ai-foundry-cost-governance.md
@ -805,27 +805,27 @@ Savings with PTU: 3 000 NOK/month (17% reduction)
   *Confidence: Verified (Feb 2026)* — Comprehensive governance framework, 8-step cost governance process

 2. **Manage and increase quotas for hub resources**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/hub-quota
+   URL: https://learn.microsoft.com/en-us/azure/foundry-classic/how-to/hub-quota
   *Confidence: Verified (Feb 2026)* — Quota management UI, VM quota, model quota allocation

 3. **Plan and manage costs for Microsoft Foundry**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/manage-costs
+   URL: https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs
   *Confidence: Verified (Feb 2026)* — Budget creation, cost monitoring, RBAC for cost visibility

 4. **Azure OpenAI Dynamic quota (Preview)**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/dynamic-quota
+   URL: https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/dynamic-quota
   *Confidence: Verified (Feb 2026)* — When to use dynamic quota, cost implications

 5. **Consolidated view for Foundry Tools in the Azure portal**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/ai-foundry-consolidated-view
+   URL: https://learn.microsoft.com/en-us/azure/foundry-classic/concepts/ai-foundry-consolidated-view
   *Confidence: Verified (Feb 2026)* — Dashboard for costs, quota utilization, alerts

 6. **Azure OpenAI quotas and limits**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/quotas-limits
+   URL: https://learn.microsoft.com/en-us/azure/foundry/openai/quotas-limits
   *Confidence: Verified (Feb 2026)* — Model-specific TPM/RPM limits by tier

 7. **Azure OpenAI in Azure AI Foundry Models quota management**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/quota
+   URL: https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/quota
   *Confidence: Verified (Feb 2026)* — Quota view, request increases, migrating deployments

 8. **Manage AI costs (Cloud Adoption Framework)**
@ -833,7 +833,7 @@ Savings with PTU: 3 000 NOK/month (17% reduction)
   *Confidence: Verified (Feb 2026)* — Monthly reviews, model selection optimization

 9. **Microsoft Foundry rollout across organization (Governance section)**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/planning#governance
+   URL: https://learn.microsoft.com/en-us/azure/foundry/concepts/planning#governance
   *Confidence: Verified (Feb 2026)* — Azure Policy for model access, TPM limits at deployment level

 10. **Azure API Management generative AI gateway capabilities**
--- a/skills/ms-ai-security/references/cost-optimization/batch-processing-cost-reduction.md
+++ b/skills/ms-ai-security/references/cost-optimization/batch-processing-cost-reduction.md
@ -307,7 +307,7 @@ Kreves respons < 5 sekunder?
 ### Microsoft Learn (Verified via MCP)

 1. **Getting started with Azure OpenAI batch deployments**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch
   - Konfidens: **Verified** (fetched 2026-02)
   - Innhold: Deployment types, pricing (50% reduction), dynamic quota, exponential backoff, supported models, API versions

@ -317,24 +317,24 @@ Kreves respons < 5 sekunder?
   - Innhold: 50% cost reduction for batch vs. global standard

 3. **What's new in Azure OpenAI (August 2024)**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/whats-new#august-2024
+   - URL: https://learn.microsoft.com/en-us/azure/foundry-classic/openai/whats-new#august-2024
   - Konfidens: **Verified**
   - Innhold: Batch API announcement, key use cases, GA status

 4. **Azure OpenAI deployment types**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/deployment-types
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/deployment-types
   - Konfidens: **Verified**
   - Innhold: Global-Batch vs. Data Zone Batch, dynamic quota

 ### Code samples (Verified via MCP)

 5. **Python: Create batch job with DefaultAzureCredential**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch?pivots=programming-language-python
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch?pivots=programming-language-python
   - Konfidens: **Verified**
   - Innhold: OpenAI Python SDK examples for batch job creation

 6. **Python: Upload batch file with expiration**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch?pivots=programming-language-python#upload-batch-file
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch?pivots=programming-language-python#upload-batch-file
   - Konfidens: **Verified**
   - Innhold: File upload with 14-30 day expiration

--- a/skills/ms-ai-security/references/cost-optimization/budget-forecasting-ai-projects.md
+++ b/skills/ms-ai-security/references/cost-optimization/budget-forecasting-ai-projects.md
@ -467,7 +467,7 @@ Korrekt forecasting driver kostnadsoptimalisering:
   *Confidence: Verified* — Komplett guide til forecasting i Azure

 2. **Plan to Manage Costs for Azure OpenAI**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs
+   https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs
   *Confidence: Verified* — Token-basert pricing, forecasting, budgets

 3. **Azure Cost Management - Create Budgets**
@ -491,7 +491,7 @@ Korrekt forecasting driver kostnadsoptimalisering:
   *Confidence: Verified* — Well-Architected Framework

 8. **Fine-Tuning Cost Management**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/fine-tuning-cost-management
+   https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-cost-management
   *Confidence: Verified* — Training + hosting + inference cost

 ---
--- a/skills/ms-ai-security/references/cost-optimization/gpt5-gpt41-pricing-models.md
+++ b/skills/ms-ai-security/references/cost-optimization/gpt5-gpt41-pricing-models.md
@ -536,17 +536,17 @@ GPT-4o mini og GPT-4o brukes fortsatt i US Government regions (offer comparable
 ### Primærkilder (Microsoft Learn, bekreftet februar 2026)

 1. **GPT-5 vs GPT-4.1: choosing the right model for your use case**
-   URL: https://learn.microsoft.com/azure/ai-foundry/foundry-models/how-to/model-choice-guide?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/foundry-models/how-to/model-choice-guide?view=foundry-classic
   Hentet: 2026-02
   Innhold: Modellsammenligning, reasoning-nivåer, latens-trade-offs, use-case guidance

 2. **Foundry Models sold directly by Azure — GPT-4.1 og GPT-5-serien**
-   URL: https://learn.microsoft.com/azure/ai-foundry/foundry-models/concepts/models-sold-directly-by-azure?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure?view=foundry-classic
   Hentet: 2026-02
   Innhold: Kontekstvindu, max output tokens, treningsdata, versjonsoversikt, tilgjengelighetskrav

 3. **Provisioned throughput unit (PTU) costs and billing**
-   URL: https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput-billing?view=foundry-classic
   Hentet: 2026-02
   Innhold: PTU-kapasitet per modell (TPM/PTU), min deployment, latens-SLA, input/output-ratio (1:4 for gpt-4.1, 1:8 for gpt-5)

@ -556,7 +556,7 @@ GPT-4o mini og GPT-4o brukes fortsatt i US Government regions (offer comparable
   Innhold: Priseksempler med gpt-4.1 Global ($2/$8) og gpt-4.1-mini Global ($0.40/$1.60) bekreftet

 5. **Azure OpenAI in Microsoft Foundry Models quotas and limits**
-   URL: https://learn.microsoft.com/azure/ai-foundry/openai/quotas-limits?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/openai/quotas-limits?view=foundry-classic
   Hentet: 2026-02
   Innhold: GPT-5- og GPT-4.1-seriens kvotestruktur, usage tiers, deployment-typer

@ -566,12 +566,12 @@ GPT-4o mini og GPT-4o brukes fortsatt i US Government regions (offer comparable
   Innhold: Copilot Credits-klassifisering (Basic/Standard/Premium) per modell, tilgjengelige modeller

 7. **Cost management for fine-tuning**
-   URL: https://learn.microsoft.com/azure/ai-foundry/openai/how-to/fine-tuning-cost-management?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/openai/how-to/fine-tuning-cost-management?view=foundry-classic
   Hentet: 2026-02
   Innhold: Fine-tuning kostnad, hosting $1.70/time (o4-mini eksempel)

 8. **Plan and manage costs for Microsoft Foundry**
-   URL: https://learn.microsoft.com/azure/ai-foundry/concepts/manage-costs?view=foundry-classic
+   URL: https://learn.microsoft.com/azure/foundry/concepts/manage-costs?view=foundry-classic
   Hentet: 2026-02
   Innhold: Billing-modell, token-basert prising, 1K-token enheter

--- a/skills/ms-ai-security/references/cost-optimization/inference-endpoint-cost-optimization.md
+++ b/skills/ms-ai-security/references/cost-optimization/inference-endpoint-cost-optimization.md
@ -571,9 +571,9 @@ Hvis inference-kostnad per prediction >10% av business value per prediction, er
 - [Plan to manage costs for Azure Machine Learning](https://learn.microsoft.com/en-us/azure/machine-learning/concept-plan-manage-cost?view=azureml-api-2) — **Verified**

 **Serverless API Endpoints:**
- [Deploy models as serverless API deployments (AI Foundry Portal)](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/deploy-models-serverless?view=foundry-classic) — **Verified**
- [Plan and manage costs for Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/manage-costs?view=foundry-classic) — **Verified**
- [Plan to manage costs for Azure OpenAI in Azure AI Foundry Models](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs) — **Verified**
+- [Deploy models as serverless API deployments (AI Foundry Portal)](https://learn.microsoft.com/en-us/azure/foundry-classic/how-to/deploy-models-serverless?view=foundry-classic) — **Verified**
+- [Plan and manage costs for Microsoft Foundry](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs?view=foundry-classic) — **Verified**
+- [Plan to manage costs for Azure OpenAI in Azure AI Foundry Models](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs) — **Verified**

 **Cost Governance:**
 - [Govern Azure platform services (PaaS) for AI](https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/scenarios/ai/platform/governance) — **Verified**
--- a/skills/ms-ai-security/references/cost-optimization/model-selection-price-performance.md
+++ b/skills/ms-ai-security/references/cost-optimization/model-selection-price-performance.md
@ -497,32 +497,32 @@ Bruk alltid confidence markers når du anbefaler modeller:
 ### Primærkilder (Microsoft Learn)

 1. **GPT-5 vs GPT-4.1: choosing the right model for your use case**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-models/how-to/model-choice-guide?view=foundry-classic
+   URL: https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/model-choice-guide?view=foundry-classic
   Hentet: 2026-02
   Innhold: Modellsammenligninger, latency trade-offs, reasoning-nivåer

 2. **Plan to manage costs for Azure OpenAI in Azure AI Foundry Models**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs
+   URL: https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs
   Hentet: 2026-02
   Innhold: Billing models, token pricing, cost monitoring

 3. **Cost management for fine-tuning**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/fine-tuning-cost-management?view=foundry-classic
+   URL: https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-cost-management?view=foundry-classic
   Hentet: 2026-02
   Innhold: Training costs, hosting costs, deployment types

 4. **Optimize model cost and performance**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/control-plane/how-to-optimize-cost-performance?view=foundry
+   URL: https://learn.microsoft.com/en-us/azure/foundry/control-plane/how-to-optimize-cost-performance?view=foundry
   Hentet: 2026-02
   Innhold: Model Router, cost optimization workflows

 5. **Azure OpenAI in Azure AI Foundry Models**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models
+   URL: https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure
   Hentet: 2026-02
   Innhold: Model catalog, capabilities, regional availability

 6. **Understanding costs associated with provisioned throughput units (PTU)**
-   URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding
+   URL: https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing
   Hentet: 2026-02
   Innhold: PTU pricing, throughput per PTU, when to use PTU

--- a/skills/ms-ai-security/references/cost-optimization/multi-model-strategy-costs.md
+++ b/skills/ms-ai-security/references/cost-optimization/multi-model-strategy-costs.md
@ -638,11 +638,11 @@ az consumption usage list --start-date 2026-02-01 --end-date 2026-02-28 \
 ## Kilder og verifisering

 **Microsoft Learn (MCP-verified):**
-1. [Model router for Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/model-router) — **Verified** (MCP fetch, 2026-04)
+1. [Model router for Azure AI Foundry](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-router) — **Verified** (MCP fetch, 2026-04)
 2. [Use a gateway in front of multiple Azure OpenAI deployments](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/azure-openai-gateway-multi-backend) — **Verified** (MCP fetch, 2026-04). Dokument bekrefter: (a) credential termination og reestablishment ved gateway anbefales fremfor pass-through client credentials, (b) gateway gir client-based usage tracking og chargeback-støtte, (c) Azure OpenAI er nå tagget som "Foundry Tools / Azure OpenAI in Foundry Models".
-3. [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding) — **Verified** (MCP search, 2026-04)
-4. [Azure OpenAI in Azure AI Foundry Models](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models) — **Verified** (MCP search, 2026-04)
-5. [GPT-4o vs GPT-4o mini model selection](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/whats-new) — **Verified** (MCP search, 2026-04)
+3. [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing) — **Verified** (MCP search, 2026-04)
+4. [Azure OpenAI in Azure AI Foundry Models](https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure) — **Verified** (MCP search, 2026-04)
+5. [GPT-4o vs GPT-4o mini model selection](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/whats-new) — **Verified** (MCP search, 2026-04)

 **GitHub samples (MCP-referenced):**
 1. [Smart load balancing for Azure OpenAI (Azure API Management)](https://github.com/Azure-Samples/openai-apim-lb) — **Verified**
--- a/skills/ms-ai-security/references/cost-optimization/prompt-engineering-cost-reduction.md
+++ b/skills/ms-ai-security/references/cost-optimization/prompt-engineering-cost-reduction.md
@ -40,7 +40,7 @@ Prompt caching er en kraftig funksjon for kostnadsreduksjon når du har repetere
 | **Prisreduksjon** | 50% rabatt (Standard), opptil 100% (Provisioned) |
 | **Støttede modeller** | GPT-4o, GPT-4o-mini, o1-serien, GPT-4.1-serien, o3-mini |

-**Verified (MCP):** [Azure AI Foundry - Prompt Caching](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching)
+**Verified (MCP):** [Azure AI Foundry - Prompt Caching](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching)

 ### Token-effektivitet per dataformat

@ -238,7 +238,7 @@ AI Foundry Model Catalog støtter prompt caching for:
 - o1-serien og o3-mini
 - GPT-4.1-serien

-**Verified (MCP):** [AI Foundry Models - Prompt Caching](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching)
+**Verified (MCP):** [AI Foundry Models - Prompt Caching](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching)

 ### Copilot Studio

@ -369,11 +369,11 @@ Copilot Studio bruker underliggende Azure OpenAI, men:

 ### Microsoft Learn (Verified via MCP)

-1. [Prompt Caching - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching) – **Verified**
-2. [Prompt Engineering Techniques](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering) – **Verified**
+1. [Prompt Caching - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching) – **Verified**
+2. [Prompt Engineering Techniques](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/prompt-engineering) – **Verified**
 3. [Azure OpenAI Pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) – **Verified**
-4. [Manage Costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs) – **Verified**
-5. [Token Usage Estimation](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data#token-usage-estimation-for-azure-openai-on-your-data) – **Verified**
+4. [Manage Costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs) – **Verified**
+5. [Token Usage Estimation](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data#token-usage-estimation-for-azure-openai-on-your-data) – **Verified**

 ### Konfidensnivå per seksjon

--- a/skills/ms-ai-security/references/cost-optimization/ptu-vs-paygo-economics.md
+++ b/skills/ms-ai-security/references/cost-optimization/ptu-vs-paygo-economics.md
@ -403,23 +403,23 @@ En hybrid tilnærming, der man kombinerer PTU for stabil baseline-traffic og Pay
 **Microsoft Learn-ressurser (MCP-verified, februar 2026):**

 1. **Provisioned Throughput Concepts:**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/provisioned-throughput
+   https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput
   *Confidence: Verified* – Offisiell kilde på PTU-konsepter, deployment types, benefits.

 2. **PTU Cost Management:**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding
+   https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing
   *Confidence: Verified* – Detaljert prisinformasjon, hourly billing, reservations, capacity calculator.

 3. **Provisioned Get Started Guide:**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/provisioned-get-started
+   https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/provisioned-get-started
   *Confidence: Verified* – Deployment workflow, quota vs. capacity, utilization monitoring.

 4. **Provisioned Migration (Payment Model Framework):**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/provisioned-migration
+   https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-migration
   *Confidence: Verified* – Commitment vs. Reservation models, coexistence, best practices.

 5. **Performance and Latency:**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/latency
+   https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/latency
   *Confidence: Verified* – Throughput vs. latency, TPM estimation, monitoring metrics.

 6. **GenAI Gateway (APIM + PTU Optimization):**
@ -431,11 +431,11 @@ En hybrid tilnærming, der man kombinerer PTU for stabil baseline-traffic og Pay
   *Confidence: Verified* – Reservation purchase, scope, discounts, management.

 8. **Dynamic Quota (Preview):**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/dynamic-quota
+   https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/dynamic-quota
   *Confidence: Verified* – PayGo deployment optimization, opportunistic quota increase.

 9. **Spillover Traffic Management (Preview):**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/spillover-traffic-management
+   https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/spillover-traffic-management
   *Confidence: Verified* – Automatic routing fra PTU til PayGo ved capacity limit.

 **Code samples (MCP-verified):**
--- a/skills/ms-ai-security/references/cost-optimization/rag-query-cost-reduction.md
+++ b/skills/ms-ai-security/references/cost-optimization/rag-query-cost-reduction.md
@ -433,7 +433,7 @@ User → Container App LB → [Azure OpenAI Region 1]

 **Verified:**
 1. [Plan and manage costs of an Azure AI Search service](https://learn.microsoft.com/en-us/azure/search/search-sku-manage-costs) - Comprehensive cost minimization strategies, tier pricing, indexing optimization.
-2. [Azure OpenAI On Your Data - Token usage estimation](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data) - Exact token consumption per model, RAG pipeline breakdown, parameter impacts.
+2. [Azure OpenAI On Your Data - Token usage estimation](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data) - Exact token consumption per model, RAG pipeline breakdown, parameter impacts.
 3. [RAG chunking phase - Understand chunking economics](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/rag/rag-chunking-phase) - Cache-Aside pattern, cost factors for chunking strategies.
 4. [Agentic retrieval in Azure AI Search - Pricing example](https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-overview) - Detailed cost calculation for agentic retrieval with subqueries.
 5. [Tips for better performance in Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-performance-tips) - Query design optimization, search tier switching, cost-performance balance.
--- a/skills/ms-ai-security/references/cost-optimization/request-batching-aggregation.md
+++ b/skills/ms-ai-security/references/cost-optimization/request-batching-aggregation.md
@ -493,7 +493,7 @@ Bruk denne matrisen for raskt å avgjøre om batching er riktig:
 ### Microsoft Learn (Verified via MCP)

 1. **Azure OpenAI Batch API:**
-   - [Getting started with Azure OpenAI batch deployments](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch) — **Verified 2026-02**
+   - [Getting started with Azure OpenAI batch deployments](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch) — **Verified 2026-02**
   - Dekker: JSONL input format, Global-Batch deployment, 50% cost reduction, exponential backoff queuing

 2. **Microsoft Graph JSON Batching:**
@ -505,7 +505,7 @@ Bruk denne matrisen for raskt å avgjøre om batching er riktig:
   - Dekker: Asynchronous inferencing, pipeline component deployments, low-priority VMs, scale-to-zero

 4. **Code Samples (Python):**
-   - [Azure OpenAI Batch API - Create batch job](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch?pivots=programming-language-python#create-batch-job) — **Verified 2026-02**
+   - [Azure OpenAI Batch API - Create batch job](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch?pivots=programming-language-python#create-batch-job) — **Verified 2026-02**
   - [Azure Cosmos DB Transactional Batch](https://learn.microsoft.com/en-us/azure/cosmos-db/transactional-batch#how-to-create-a-transactional-batch-operation) — **Baseline (ikke AI-spesifikk, men relevant pattern)**

 ### Konfidensnivå per Seksjon
--- a/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md
+++ b/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md
@ -543,11 +543,11 @@ Tilgjengelig i deployment workflow:
 | Kilde | Type | Last Verified |
 |-------|------|---------------|
 | [Save costs with Microsoft Foundry Provisioned Throughput Reservations](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/azure-openai) | Offisiell docs | 2026-01 |
-| [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding) | Offisiell docs | 2026-01 |
-| [Azure OpenAI provisioned Managed offering updates](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/provisioned-migration) | Offisiell docs | 2025-08 |
+| [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing) | Offisiell docs | 2026-01 |
+| [Azure OpenAI provisioned Managed offering updates](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-migration) | Offisiell docs | 2025-08 |
 | [Purchase commitment tier pricing](https://learn.microsoft.com/en-us/azure/ai-services/commitment-tier) | Offisiell docs | 2026-01 |
-| [What is provisioned throughput?](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/provisioned-throughput) | Offisiell docs | 2026-01 |
-| [Azure OpenAI Provisioned Managed Offering in Azure Government](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/gov-provisioned) | Offisiell docs | 2025-05 |
+| [What is provisioned throughput?](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput) | Offisiell docs | 2026-01 |
+| [Azure OpenAI Provisioned Managed Offering in Azure Government](https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure-gov) | Offisiell docs | 2025-05 |
 | [View Azure reservation utilization](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/reservation-utilization) | Cost Management | 2025-12 |
 | [How reservation discounts are applied](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/reservation-discount-application) | Cost Management | 2025-12 |
 | [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/) | Pricing tool | Live |
--- a/skills/ms-ai-security/references/cost-optimization/small-language-models-economics.md
+++ b/skills/ms-ai-security/references/cost-optimization/small-language-models-economics.md
@ -603,12 +603,12 @@ az webapp create --name webapp-slm-phi4 --resource-group rg-slm-norway --plan pl
   - Innhold: KAITO deployment, Phi-4-mini på AKS, GPU-krav

 5. **Azure OpenAI in Azure AI Foundry Models**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure
   - Confidence: **Verified**
   - Innhold: GPT-4o, GPT-4o-mini pricing, capabilities

 6. **Foundry Models from partners and community (Microsoft)**
-   - URL: https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-models/concepts/models-from-partners
+   - URL: https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-from-partners
   - Confidence: **Verified**
   - Innhold: Phi-4-mini-instruct, Phi-4-multimodal specs

--- a/skills/ms-ai-security/references/cost-optimization/token-counting-optimization.md
+++ b/skills/ms-ai-security/references/cost-optimization/token-counting-optimization.md
@ -570,13 +570,13 @@ def track_token_usage(prompt, completion, model="gpt-4o"):
 ## Kilder og verifisering

 **Microsoft Learn Documentation:**
-1. [Prompt caching - Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching)
-2. [Work with chat completions models - Token management](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/chatgpt#manage-conversations)
-3. [Plan and manage costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs)
+1. [Prompt caching - Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching)
+2. [Work with chat completions models - Token management](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/chatgpt#manage-conversations)
+3. [Plan and manage costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs)
 4. [Token counting in AI - Dynamics 365 Business Central](https://learn.microsoft.com/en-us/dynamics365/business-central/dev-itpro/developer/ai-system-app-token-counting)
 5. [Use Microsoft.ML.Tokenizers for text tokenization](https://learn.microsoft.com/en-us/dotnet/ai/how-to/use-tokenizers)
-6. [Azure OpenAI On Your Data - Token usage estimation](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data#token-usage-estimation-for-azure-openai-on-your-data)
-7. [Cost management for fine-tuning](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/fine-tuning-cost-management)
+6. [Azure OpenAI On Your Data - Token usage estimation](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data#token-usage-estimation-for-azure-openai-on-your-data)
+7. [Cost management for fine-tuning](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-cost-management)

 **OpenAI Resources:**
 8. [OpenAI Cookbook - Token counting](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb)
--- a/skills/ms-ai-security/references/cost-optimization/vector-storage-cost-optimization.md
+++ b/skills/ms-ai-security/references/cost-optimization/vector-storage-cost-optimization.md
@ -549,11 +549,11 @@ Hvis vector search brukes som grunnlag for Copilot for Microsoft 365:
   Confidence: Verified (MCP search results, januar 2026)

 6. **Azure OpenAI embeddings models**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models
+   https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure
   Confidence: Verified (MCP search results, januar 2026)

 7. **Azure OpenAI cost management**
-   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs
+   https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs
   Confidence: Verified (MCP search results, januar 2026)

 8. **Storage optimization for vectors**