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
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@ -40,7 +40,7 @@ Prompt caching er en kraftig funksjon for kostnadsreduksjon når du har repetere
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| **Prisreduksjon** | 50% rabatt (Standard), opptil 100% (Provisioned) |
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| **Støttede modeller** | GPT-4o, GPT-4o-mini, o1-serien, GPT-4.1-serien, o3-mini |
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**Verified (MCP):** [Azure AI Foundry - Prompt Caching](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching)
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**Verified (MCP):** [Azure AI Foundry - Prompt Caching](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching)
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### Token-effektivitet per dataformat
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@ -238,7 +238,7 @@ AI Foundry Model Catalog støtter prompt caching for:
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- o1-serien og o3-mini
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- GPT-4.1-serien
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**Verified (MCP):** [AI Foundry Models - Prompt Caching](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching)
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**Verified (MCP):** [AI Foundry Models - Prompt Caching](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching)
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### Copilot Studio
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@ -369,11 +369,11 @@ Copilot Studio bruker underliggende Azure OpenAI, men:
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### Microsoft Learn (Verified via MCP)
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1. [Prompt Caching - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching) – **Verified**
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2. [Prompt Engineering Techniques](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering) – **Verified**
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1. [Prompt Caching - Azure AI Foundry](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching) – **Verified**
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2. [Prompt Engineering Techniques](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/prompt-engineering) – **Verified**
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3. [Azure OpenAI Pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) – **Verified**
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4. [Manage Costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/manage-costs) – **Verified**
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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**
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4. [Manage Costs for Azure OpenAI](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs) – **Verified**
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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**
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### Konfidensnivå per seksjon
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