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

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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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Kjell Tore Guttormsen 2026-06-18 13:37:06 +02:00
commit dd1036ab8a
141 changed files with 399 additions and 399 deletions
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12
skills/ms-ai-advisor/references/prompt-engineering/chain-of-thought-prompting.md
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@ -474,11 +474,11 @@ Chain-of-thought øker token-forbruk betydelig:
| Kilde | Konfidensnivå | Verifisert dato |
|-------|---------------|-----------------|
| [Prompt engineering techniques - Chain of thought prompting](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering#chain-of-thought-prompting) | **Verified** | 2026-02 |
| [Azure OpenAI On Your Data - Best practices (Chain-of-thought prompting)](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data#best-practices) | **Verified** | 2026-02 |
| [Azure OpenAI Evaluation (Preview) - Factuality (uses CoT internally)](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/evaluations#types-of-testing-criteria) | **Verified** | 2026-02 |
| [Azure OpenAI reasoning models (o1, o3, GPT-5)](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/reasoning) | **Verified** | 2026-02 |
| [Transparency note for Azure OpenAI - Chain-of-thought capabilities](https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/openai/transparency-note?view=foundry-classic#capabilities) | **Verified** | 2026-02 |
| [Prompt engineering techniques - Chain of thought prompting](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/prompt-engineering#chain-of-thought-prompting) | **Verified** | 2026-02 |
| [Azure OpenAI On Your Data - Best practices (Chain-of-thought prompting)](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/use-your-data#best-practices) | **Verified** | 2026-02 |
| [Azure OpenAI Evaluation (Preview) - Factuality (uses CoT internally)](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/evaluations#types-of-testing-criteria) | **Verified** | 2026-02 |
| [Azure OpenAI reasoning models (o1, o3, GPT-5)](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/reasoning) | **Verified** | 2026-02 |
| [Transparency note for Azure OpenAI - Chain-of-thought capabilities](https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/transparency-note?view=foundry-classic#capabilities) | **Verified** | 2026-02 |
### Baseline-kunnskap (fra Claude-modell)
@ -493,7 +493,7 @@ Chain-of-thought øker token-forbruk betydelig:
1. **microsoft_docs_search:** "chain of thought prompting Azure OpenAI" → 10 resultater
2. **microsoft_code_sample_search:** "chain of thought prompt examples" → 20 code snippets
3. **microsoft_docs_fetch:** [Azure OpenAI reasoning models](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/reasoning) → Full dokumentasjon hentet
3. **microsoft_docs_fetch:** [Azure OpenAI reasoning models](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/reasoning) → Full dokumentasjon hentet
**Totalt:** 4 MCP-kall, 3 unike Microsoft Learn-kilder.