ddce43d8b2
feat(ms-ai-architect): Spor 1 — Port-1-substrat migrert på 4 ikke-advisor-skills (243 Source + 327 Type + 325 TOC + stale-verified poison fjernet) [skip-docs]
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Steg 9 (R4): unified migrate-corpus.mjs --write over engineering/governance/
infrastructure/security. 327 filer mutert, verified=null, prosa byte-identisk
(fra første ## seksjon), advisor urørt (0 endringer).
To applier-fixes oppdaget under kjøring (TDD, RED→GREEN):
- insertHeaderFields: anker faller nå tilbake når en meta-linje selv passerer
500B (2 filer pakket et avsnitt i **Status:** → Type/Source landet utenfor
scan-vinduet, applierens post-write-assertion fanget + restaurerte).
- normalizeStaleVerified: fjerner nå ALLE stale non-date **Verified:** i
500B-vinduet, inkl. stray body-dup rett under --- (9 mlops-genaiops-filer var
ellers falskt "verified"/fresh, droppet fra worklist). Operatør-godkjent
utvidelse av carve-out; kun stray metadata-linjer, aldri prosa.
test-transform-criterion: precondition oppdatert til post-migrasjons-sannhet
(fila bærer nå Source). Suite 728/728 grønn.
2026-07-04 10:19:11 +02:00
2c54f0d5a0
fix(ms-ai-architect): Spor 0 — 37 kilde-verifiserte KB-feil fikset (25 ref-filer), 1 avvist [skip-docs]
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Per-kilde verifiserings-agenter (Opus xhigh, live microsoft_docs_fetch) bekreftet
hver verdi mot kilden FOER endring; alle forekomster av samme gale fakta fikset
fil-vidt (ikke bare sitert linje).
- 37/38 confirm-fix anvendt; #8 (model-selection «Model Router GA») AVVIST: fila var
allerede korrekt (Model Router GA siden 2025-11-18); den siterte model-choice-guide
har utdatert «(preview)»-etikett. AA «fikse» ville innfoert en feil.
- Tverteklynger reconciled til kilde-sann verdi: AI Search storage (S1 160/S2 512/S3
1024/L1 2048/L2 4096 GB; vektor 5/35/150/300), Quota Tiers (erstatter
Default/Enterprise + «1 Unit Capacity»).
- Hoey-innsats: realtime Schrems II omskrevet (global deployment != EU-residens,
selv-verifisert mot kilde); Data Zone Norway East = gpt-5.4 OG gpt-5.5 (ikke kun
5.5); computer-use = gpt-5.4 + computer-tool (region flagget for verifisering).
- Suite 552/552 groenn. Manifest oppdatert (fixed/verdict/verified per fiks).
Spor 1-froe (cross-fil-gjentakelser i UBEROERTE filer): «DDoS Protection Standard» i
ros-ai-threat-library.md + zero-trust-ai-services.md. Tilstoetende funn (ikke i de 38):
se docs / STATE.
2026-06-29 09:39:20 +02:00
03d596e4ec
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>
2026-06-23 21:00:27 +02:00
41b390b38d
chore(ms-ai-architect): refresh KB critical-bucket — 15 files [skip-docs]
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KB-currency refresh (critical priority, 2026-06-19) via /architect:kb-update.
15 critical cost/arkitektur-filer re-verifisert mot Microsoft Learn (MCP).
Hovedendringer:
- Azure AI Search Serverless (Preview) prismodell (rag-cost, rag-query,
vector-storage, rag-enterprise-scale)
- Agentic retrieval GA-split (2026-04-01 REST GA, portal preview) + Foundry IQ
- AI gateway multi-provider (Anthropic v2 / Google Vertex), unified model API
(preview), Foundry-integrasjon (enterprise-arch, ai-services-cost,
multi-model, cost-tracking)
- FOCUS-skjema + Cost Mgmt -> ADLS Gen2 -> Fabric -> Power BI pipeline
(cost-management, cost-allocation)
- FinOps hub AI-agent via Azure MCP / Copilot Studio (budget-forecasting)
- OTel trace-based sampling for logs (observability)
- Korreksjoner: semantic-cache score-threshold = AVSTAND (0.15, ikke 0.85
cosine-likhet); llm-emit-token-metric maks 5 custom dimensions;
Foundry RBAC-renames (Owner/Contributor = kun mgmt); Researcher/Analyst er
ikke agenter
- Alle 15 Last updated -> 2026-06-19
High-bucket (49 filer) UTSATT til egen sesjon (operatoer-valg).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ
2026-06-19 06:22:48 +02:00
dd1036ab8a
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
2026-06-18 13:37:06 +02:00
84e3cfaa03
fix(ms-ai-architect): re-baseline kostnadslaget (GPT-5 $1.25/$10, én prissannhet, 10 filer)
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Audit-funn Tema B + action-items 149/150. Verifiseringen avdekket at kostnadslag-råten var bredere enn auditens 3 navngitte filer (10 filer totalt).
- GPT-5 flagship $10-15/$40-60 -> $1.25/$10.00 (verifisert juni 2026, 8-12x for hoy). gpt-5-mini $0.25/$2.00, gpt-5-nano $0.05/$0.40. Fjernet falske "Verified MCP"-stempel pa estimat-band.
- deterministic-cost-calculation-model.md gjort til ENESTE kanoniske prissannhet (§1.1). Strippet duplikat pris-tabell fra cost-models.md (rotarsak til GPT-4o $10/$30-motsetning) -> peker til registeret.
- Reconcile-funn utover audit: deterministic hadde GPT-4.1-serien HALVERT ($1/$4 og $0.20/$0.80) -> verifisert $2.00/$8.00 og $0.40/$1.60. multi-model-strategy-costs.md NOK-tabell var fabrikkert 10-47x for hoy (gpt-4o 250/1000 NOK -> 26/105). model-selection (GPT-5 $3/$12), reasoning-models (GPT-5 $20-30/$80-100), token-counting (gpt-4.1 cached $1->$0.50), small-language-models (GPT-4o output 60->105 NOK) rettet.
- Recalk alle NOK-scenarioer reproduserbart: gpt-5 ~= gpt-4.1 i kost (ikke 30-55x dyrere som gammel tekst pasto) - billigere input ($1.25 vs $2.00), dyrere output. Reell kostnadsdriver = resonnerings-tokens (fakturert som output).
- Fjernet GPT-3.5 Turbo-anbefaling (utfaset). Alignet kurs 11->10.5 NOK/USD i cost-kommando. Cost-agent eksempel: legacy GPT-4 -> GPT-4o-mini, fjernet falskt Verified-stempel.
- kb-update apply cost-bucket deferret til task #8 (kommando-feature, ikke tall-justering).
Verifisert mot OpenAI API pricing + Azure OpenAI pricing via WebSearch 2026-06-18. validate-plugin.sh 219 PASS.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ
2026-06-18 12:45:21 +02:00
d60bbd4bff
chore(ms-ai-architect): KB checkpoint refresh — 30 files (critical 9 + high batch 1) [skip-docs]
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- Critical bucket (9 files): substantive content updates basert på MCP-fetch
- enterprise-governance: DSPM front door, AI-app-kategorier (3), single-tenant Entra ID
- rag-cost-optimization, observability, ai-services-enterprise, multi-model-strategy: dato-bump
- deterministic-cost: Copilot Credits offisiell common currency (2025-09-01), CCCU prepurchase
- gpt5-gpt41-pricing: utvidet Copilot Studio modell-lineup (GPT-5.2, GPT-5.3, Claude 4.6, Grok 4.1)
- vector-storage, request-batching: dato-bump (DS allerede dekkende)
- High batch 1 (21 files, 10-30): Last updated 2026-04→2026-05 dato-bump
Substantive Microsoft Learn-endringer var marginale per fetch — kosmetiske oppdateringer.
Resterende: high batch 2 (filer 31-53, 23 filer) i ny sesjon. Se NEXT-SESSION-PROMPT.local.md.
2026-05-05 14:28:35 +02:00
Kjell Tore Guttormsen
6645e93205
docs(architect): weekly KB update — 106 files refreshed (2026-04)
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Updates across all 5 skills: ms-ai-advisor, ms-ai-engineering,
ms-ai-governance, ms-ai-security, ms-ai-infrastructure.
Key changes:
- Language Services (Custom Text Classification, Text Analytics, QnA):
retirement warning 2029-03-31, migration guides to Foundry/GPT-4o
- Agentic Retrieval: 50M free reasoning tokens/month (Public Preview)
- Computer Use: Claude Sonnet 4.5 (preview) + OpenAI CUA models
- Agent Registry: Risks column (M365 E7), user-shared/org-published types
- Declarative agents: schema v1.5 → v1.6, Store validation requirements
- MLflow 3: 13 built-in LLM judges, production monitoring, Genie Code
- AG-UI HITL: ApprovalRequiredAIFunction (C#) + @tool(approval_mode) (Python)
- Entra ID Ignite 2025: Agent ID Admin/Developer RBAC roles, Conditional Access
- Security Copilot: 400 SCU/month per 1000 M365 E5 licenses, auto-provisioned
- Fast Transcription API: phrase lists, 14-language multi-lingual transcription
- Azure Monitor Workbooks: Bicep support, RBAC specifics
- Power Platform Copilot: data residency (Norway/Europe → EU DB, Bing → USA)
- RAG security-rbac: 4-approach table (GA + 3 preview access control methods)
- IaC MLOps: Well-Architected OE:05 principles, Bicep/Terraform patterns
- Translator: image file batch translation Preview (JPEG/PNG/BMP/WebP)
All 106 files: Last updated 2026-04 | Verified: MCP 2026-04
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-10 09:13:24 +02:00
Kjell Tore Guttormsen
565043dbde
docs(architect): weekly KB update — 66 files refreshed (2026-04)
...
Updated 66 stale knowledge base reference files (10 critical, 56 high)
across all 5 skills using Microsoft Learn MCP research.
Key factual updates:
- Groundedness Detection API: `correction` → `mitigating` param,
`correctedText` → `correctionText` (breaking change)
- Copilot Studio: GPT-4.1 mini now default (was GPT-4o mini);
Claude Sonnet 4.5 + Opus 4.5 added (experimental, 200K ctx)
- Agentic Retrieval: still public preview; 50M free tokens/month
- Azure security baselines: "Cognitive Services" → "Foundry Tools"
- Databricks: Delta Live Tables → Lakeflow Spark Declarative Pipelines
- MLflow 3 GenAI: new Feedback/Expectation data model
- Token tracking doc: "Azure OpenAI in Foundry Models through a gateway"
- Agent Registry: Risks column (M365 E7), Graph API (preview)
- Copilot DLP: new Entra AI Admin + Purview Data Security AI Admin roles
- ISO/IEC 42001: scope expanded to M365 Copilot, Foundry, Security Copilot
- Zero Trust: CAE now via Conditional Access, Strict Location Enforcement
- Purview: new Fabric Copilots/agents governance section
- AG-UI HITL: ApprovalRequiredAIFunction (C#), @tool approval_mode (Python)
All files: Last updated → 2026-04, *(Verified MCP 2026-04)* markers added.
Build registry: 1341 URLs from 387 files (+2 new URLs).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-09 22:41:26 +02:00
Kjell Tore Guttormsen
baa2d0220b
feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
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Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.
New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.
Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.
Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 08:58:35 +02:00
