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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
This commit is contained in:
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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6
skills/ms-ai-security/references/performance-scalability/async-processing-patterns.md
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@ -527,9 +527,9 @@ def publish_ordered_event(
## Referanser
- [Azure OpenAI Batch API](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/batch) — Batch processing
- [Azure OpenAI Responses API — Background tasks](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/responses) — Background mode
- [Azure OpenAI Webhooks](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/webhooks) — Event notifications
- [Azure OpenAI Batch API](https://learn.microsoft.com/azure/foundry/openai/how-to/batch) — Batch processing
- [Azure OpenAI Responses API — Background tasks](https://learn.microsoft.com/azure/foundry/openai/how-to/responses) — Background mode
- [Azure OpenAI Webhooks](https://learn.microsoft.com/azure/foundry/openai/how-to/webhooks) — Event notifications
- [Event-driven architecture style](https://learn.microsoft.com/azure/architecture/guide/architecture-styles/event-driven) — Architecture patterns
- [Azure Functions on Container Apps](https://learn.microsoft.com/azure/container-apps/functions-unified-platform) — Event-driven compute

2
skills/ms-ai-security/references/performance-scalability/batch-api-usage-optimization.md
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@ -206,7 +206,7 @@ with open("large_batch.jsonl", "rb") as data:
)
# 2. Konfigurer Azure OpenAI til a bruke Blob Storage
# Se: https://learn.microsoft.com/azure/ai-foundry/openai/how-to/batch-blob-storage
# Se: https://learn.microsoft.com/azure/foundry-classic/openai/how-to/batch-blob-storage
```
### Filgrenser

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skills/ms-ai-security/references/performance-scalability/concurrent-request-optimization.md
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@ -418,9 +418,9 @@ class FairScheduler:
## Referanser
- [Manage Azure OpenAI quota](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/quota) — RPM/TPM grenser
- [Performance and latency](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/latency) — Concurrent requests og throughput
- [Provisioned throughput](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-get-started) — PTU utilization
- [Manage Azure OpenAI quota](https://learn.microsoft.com/azure/foundry-classic/openai/how-to/quota) — RPM/TPM grenser
- [Performance and latency](https://learn.microsoft.com/azure/foundry/openai/how-to/latency) — Concurrent requests og throughput
- [Provisioned throughput](https://learn.microsoft.com/azure/foundry/openai/how-to/provisioned-get-started) — PTU utilization
## For Cosmo

4
skills/ms-ai-security/references/performance-scalability/gpu-compute-sizing.md
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@ -419,8 +419,8 @@ ml_client.online_deployments.begin_create_or_update(deployment).result()
## Referanser
- [What is provisioned throughput?](https://learn.microsoft.com/azure/ai-foundry/openai/concepts/provisioned-throughput) — PTU oversikt
- [PTU costs and billing](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding) — PTU-prising per modell
- [What is provisioned throughput?](https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput) — PTU oversikt
- [PTU costs and billing](https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput-billing) — PTU-prising per modell
- [Foundry PTU calculator](https://ai.azure.com/resource/calculator) — Kapasitetskalkulator
- [GPU optimized VM sizes](https://learn.microsoft.com/azure/virtual-machines/sizes-gpu) — Azure GPU VM-oversikt
- [Deploy models in Azure ML](https://learn.microsoft.com/azure/machine-learning/how-to-deploy-online-endpoints) — ML endpoint deployment

4
skills/ms-ai-security/references/performance-scalability/load-testing-ai-services.md
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@ -416,10 +416,10 @@ azure-openai-benchmark \
## Referanser
- [Run a benchmark](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-get-started#run-a-benchmark) — Azure OpenAI benchmarking guide
- [Run a benchmark](https://learn.microsoft.com/azure/foundry/openai/how-to/provisioned-get-started#run-a-benchmark) — Azure OpenAI benchmarking guide
- [Azure OpenAI Benchmark Tool](https://github.com/Azure/azure-openai-benchmark) — Offisielt CLI-verktøy
- [Azure Load Testing overview](https://learn.microsoft.com/azure/load-testing/overview-what-is-azure-load-testing) — Managed lasttesting
- [Performance and latency](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/latency) — Throughput vs latency forklaring
- [Performance and latency](https://learn.microsoft.com/azure/foundry/openai/how-to/latency) — Throughput vs latency forklaring
- [Capacity planning](https://learn.microsoft.com/azure/well-architected/performance-efficiency/capacity-planning) — WAF kapasitetsplanlegging
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/model-distillation-performance.md
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@ -428,9 +428,9 @@ def route_to_model(user_input: str) -> str:
## Referanser
- [Azure OpenAI stored completions & distillation](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/stored-completions) — Distillation workflow
- [Fine-tuning considerations](https://learn.microsoft.com/azure/ai-foundry/openai/concepts/fine-tuning-considerations) — Når fine-tuning er riktig
- [Customize a model with fine-tuning](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/fine-tuning) — Fine-tuning guide
- [Azure OpenAI stored completions & distillation](https://learn.microsoft.com/azure/foundry-classic/openai/how-to/stored-completions) — Distillation workflow
- [Fine-tuning considerations](https://learn.microsoft.com/azure/foundry/openai/concepts/fine-tuning-considerations) — Når fine-tuning er riktig
- [Customize a model with fine-tuning](https://learn.microsoft.com/azure/foundry/openai/how-to/fine-tuning) — Fine-tuning guide
- [Choose the right AI model](https://learn.microsoft.com/azure/architecture/ai-ml/guide/choose-ai-model) — Modellvalg-guide
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/performance-benchmarking-frameworks.md
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@ -536,9 +536,9 @@ async def ci_benchmark_gate(
- [Azure OpenAI Benchmark Tool](https://github.com/Azure/azure-openai-benchmark) — Offisielt CLI-verktøy
- [Azure Load Testing](https://learn.microsoft.com/azure/load-testing/overview-what-is-azure-load-testing) — Managed lasttesting
- [Performance and latency](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/latency) — Ytelseskonsepter
- [Evaluate generative AI models](https://learn.microsoft.com/azure/ai-foundry/how-to/evaluate-generative-ai-app) — Kvalitetsevaluering
- [Azure Monitor metrics](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/monitor-openai) — Azure OpenAI monitoring
- [Performance and latency](https://learn.microsoft.com/azure/foundry/openai/how-to/latency) — Ytelseskonsepter
- [Evaluate generative AI models](https://learn.microsoft.com/azure/foundry/how-to/evaluate-generative-ai-app) — Kvalitetsevaluering
- [Azure Monitor metrics](https://learn.microsoft.com/azure/foundry-classic/openai/how-to/monitor-openai) — Azure OpenAI monitoring
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/prompt-caching-performance.md
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@ -360,8 +360,8 @@ class CacheAwarePromptManager:
## Referanser
- [Prompt caching](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/prompt-caching) — Offisiell guide
- [Provisioned throughput](https://learn.microsoft.com/azure/ai-foundry/openai/concepts/provisioned-throughput) — PTU caching-fordeler
- [Prompt caching](https://learn.microsoft.com/azure/foundry/openai/how-to/prompt-caching) — Offisiell guide
- [Provisioned throughput](https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput) — PTU caching-fordeler
- [Semantic cache with Cosmos DB](https://learn.microsoft.com/azure/cosmos-db/gen-ai/semantic-cache) — Ekstern caching
- [Application design for AI workloads](https://learn.microsoft.com/azure/well-architected/ai/application-design) — Multi-layer caching

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skills/ms-ai-security/references/performance-scalability/rate-limit-management.md
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@ -474,9 +474,9 @@ Microsoft dokumenterer multi-backend gateway som den anbefalte arkitekturmønste
## Referanser
- [Manage Azure OpenAI quota](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/quota) — Kvotehåndtering
- [Azure OpenAI quotas and limits](https://learn.microsoft.com/azure/ai-foundry/openai/quotas-limits) — Grenser per modell
- [Azure OpenAI SDK retry handling](https://learn.microsoft.com/azure/ai-foundry/openai/supported-languages) — SDK retry-konfigurasjon
- [Manage Azure OpenAI quota](https://learn.microsoft.com/azure/foundry-classic/openai/how-to/quota) — Kvotehåndtering
- [Azure OpenAI quotas and limits](https://learn.microsoft.com/azure/foundry/openai/quotas-limits) — Grenser per modell
- [Azure OpenAI SDK retry handling](https://learn.microsoft.com/azure/foundry/openai/supported-languages) — SDK retry-konfigurasjon
- [Use a gateway in front of multiple Azure OpenAI deployments or instances](https://learn.microsoft.com/azure/architecture/ai-ml/guide/azure-openai-gateway-multi-backend) — Multi-region gateway (Azure OpenAI i Foundry Models) — Verified (MCP 2026-04)
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/regional-deployment-latency.md
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@ -399,7 +399,7 @@ Microsoft dokumenterer nå fire formelle topologier for Azure OpenAI gateway:
- [Use a gateway in front of multiple Azure OpenAI deployments or instances](https://learn.microsoft.com/azure/architecture/ai-ml/guide/azure-openai-gateway-multi-backend) — Multi-region patterns (Azure OpenAI i Foundry Models) — Verified (MCP 2026-04)
- [Azure Front Door](https://learn.microsoft.com/azure/frontdoor/front-door-overview) — Global load balancing
- [APIM multi-region deployment](https://learn.microsoft.com/azure/api-management/api-management-howto-deploy-multi-region) — Regional gateway
- [Azure OpenAI deployment types](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/deployment-types) — Global vs Regional
- [Azure OpenAI deployment types](https://learn.microsoft.com/azure/foundry/foundry-models/concepts/deployment-types) — Global vs Regional
- [AI Ready — Establish AI reliability](https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/ready) — Multi-region best practices
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/response-chunking-strategies.md
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@ -464,7 +464,7 @@ class ResilientStreamProcessor:
## Referanser
- [Azure OpenAI streaming](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/responses) — Streaming API
- [Azure OpenAI streaming](https://learn.microsoft.com/azure/foundry/openai/how-to/responses) — Streaming API
- [Server-Sent Events with Application Gateway](https://learn.microsoft.com/azure/application-gateway/use-server-sent-events) — SSE proxy
- [API Management SSE configuration](https://learn.microsoft.com/azure/api-management/how-to-server-sent-events) — APIM SSE
- [Server-Sent Events with App Gateway for Containers](https://learn.microsoft.com/azure/application-gateway/for-containers/server-sent-events) — Container SSE

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skills/ms-ai-security/references/performance-scalability/throughput-optimization-strategies.md
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@ -433,9 +433,9 @@ def submit_batch(client: AzureOpenAI, filename: str):
## Referanser
- [Performance and latency](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/latency) — Azure OpenAI latency og throughput
- [Azure OpenAI Batch API](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/batch) — Batch processing guide
- [Provisioned throughput onboarding](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding) — PTU sizing og kostnader
- [Performance and latency](https://learn.microsoft.com/azure/foundry/openai/how-to/latency) — Azure OpenAI latency og throughput
- [Azure OpenAI Batch API](https://learn.microsoft.com/azure/foundry/openai/how-to/batch) — Batch processing guide
- [Provisioned throughput onboarding](https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput-billing) — PTU sizing og kostnader
- [Azure OpenAI Benchmark Tool](https://github.com/Azure/azure-openai-benchmark) — Offisielt benchmarking-verktøy
## For Cosmo

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skills/ms-ai-security/references/performance-scalability/token-per-second-optimization.md
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@ -328,10 +328,10 @@ print(f"Rejected predictions: {usage.rejected_prediction_tokens}")
## Referanser
- [Performance and latency](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/latency) — TPS og throughput forklaring
- [Provisioned throughput onboarding](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/provisioned-throughput-onboarding) — PTU TPS-mål per modell
- [Prompt caching](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/prompt-caching) — Cache-basert TPS-forbedring
- [Predicted outputs](https://learn.microsoft.com/azure/ai-foundry/openai/how-to/predicted-outputs) — Spekulativ generering
- [Performance and latency](https://learn.microsoft.com/azure/foundry/openai/how-to/latency) — TPS og throughput forklaring
- [Provisioned throughput onboarding](https://learn.microsoft.com/azure/foundry/openai/concepts/provisioned-throughput-billing) — PTU TPS-mål per modell
- [Prompt caching](https://learn.microsoft.com/azure/foundry/openai/how-to/prompt-caching) — Cache-basert TPS-forbedring
- [Predicted outputs](https://learn.microsoft.com/azure/foundry/openai/how-to/predicted-outputs) — Spekulativ generering
- [Foundry PTU calculator](https://ai.azure.com/resource/calculator) — Kapasitetskalkulator
## For Cosmo