docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)

Verifisert mot offisiell MS-doc (juni 2026): «Microsoft Foundry» er det
gjeldende produkt-/portalnavnet; «Foundry (classic)» = gamle «Azure AI Foundry»
(/azure/foundry/ vs /azure/foundry-classic/). Premiss bekreftet før sveip.

Multi-regel, IKKE naiv s/Azure AI Foundry/Microsoft Foundry/ — MS dropper
«Azure AI» (legger IKKE til «Microsoft») for to produktvarianter:
- «Azure AI Foundry Agent[ Service|s]» → «Foundry Agent Service/Agents» (MS-form)
- «Azure AI Foundry Models» → «Foundry Models» (i «Azure OpenAI in Foundry Models»)
- «Azure AI Foundry SDK» → «Microsoft Foundry SDK» (operatør-valg)
- «Azure AI Foundry portal/project» + generisk → «Microsoft Foundry»
- Pre-eksisterende «Microsoft Foundry Models» (4) normalisert → «Foundry Models»

Bevart: «Azure OpenAI», «Azure AI Inference SDK», «Azure AI Search»,
«Azure AI Services», kode-IDer. Historisk ref «(tidligere Azure AI Foundry)»
i model-catalog-2026.md beskyttet via lookbehind. URL /azure/ai-foundry/→
/azure/foundry/ kun i owasp-llm-top10 (KB-ref); docs/-filer deferred.

Scope: skills (inkl. 3 SKILL.md) + commands + agents + README + CLAUDE.
Ekskludert: docs/ (interne), playground/+tests/ fixtures (testdata),
CHANGELOG.md (historisk logg), STATE.md (gitignored).

3 SKILL.md endret (advisor/engineering/security) → judge-cache teknisk
invalidert for disse, men scorer uendret: advisor 91, eng/gov/infra/sec 96
(alle ≥90). validate 239/0. 0 «Azure AI Foundry» igjen (utenom bevart ref).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-06-23 21:00:27 +02:00
commit 03d596e4ec
233 changed files with 810 additions and 810 deletions

View file

@ -211,7 +211,7 @@ Execute ML pipeline for retraining
Deploy new model version
```
### Azure AI Foundry
### Microsoft Foundry
- **Foundry Observability**: Continuous evaluation for generative AI applications
- **AI Red Teaming**: Scheduled adversarial testing for safety/security
@ -308,7 +308,7 @@ Model monitoring er inkludert i Azure Machine Learning workspace, men du betaler
- **Azure Machine Learning**: Enterprise Agreement eller Pay-As-You-Go
- **MCP-servere (hvis brukt)**: Vurder kostnader for microsoft-learn MCP (gratis), context7 MCP (avhenger av plan)
- **Azure AI Foundry**: Separate SKU for generative AI monitoring (safety evaluations hosted i East US 2, France Central, UK South, Sweden Central)
- **Microsoft Foundry**: Separate SKU for generative AI monitoring (safety evaluations hosted i East US 2, France Central, UK South, Sweden Central)
## For arkitekten (Cosmo)
@ -363,7 +363,7 @@ Model monitoring er inkludert i Azure Machine Learning workspace, men du betaler
**Level 4: Enterprise Monitoring** (AI Platform)
- Sentralisert monitoring for alle modeller (multi-workspace, multi-region)
- Automated retraining + automated deployment (CI/CD for ML)
- Red teaming for safety/security (Azure AI Foundry)
- Red teaming for safety/security (Microsoft Foundry)
- Continuous evaluation for generative AI (Foundry observability)
- FinOps tracking: cost per model, cost per inference, budget alerts
- Compliance automation: GDPR audit logs, AI Act documentation
@ -377,8 +377,8 @@ Model monitoring er inkludert i Azure Machine Learning workspace, men du betaler
- [Azure Machine Learning model monitoring (concept)](https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-monitoring?view=azureml-api-2) — **Verified** (fetched 2026-02)
- [Monitor performance of models deployed to production](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-model-performance?view=azureml-api-2) — **Verified** (fetched 2026-02)
- [Data drift monitoring (legacy, retiring)](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-datasets?view=azureml-api-1) — **Verified** (fetched 2026-02, kontext: migrering til Model Monitor)
- [Evaluate generative AI models (Azure AI Foundry)](https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluate-generative-ai-app?view=foundry-classic) — **Verified** (fetched 2026-02)
- [Observability in generative AI (Azure AI Foundry)](https://learn.microsoft.com/en-us/azure/foundry/concepts/observability?view=foundry-classic) — **Verified** (fetched 2026-02)
- [Evaluate generative AI models (Microsoft Foundry)](https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluate-generative-ai-app?view=foundry-classic) — **Verified** (fetched 2026-02)
- [Observability in generative AI (Microsoft Foundry)](https://learn.microsoft.com/en-us/azure/foundry/concepts/observability?view=foundry-classic) — **Verified** (fetched 2026-02)
- [Test and evaluate AI workloads on Azure](https://learn.microsoft.com/en-us/azure/well-architected/ai/test) — **Verified** (fetched 2026-02)
### Baseline (Model knowledge)