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Author	SHA1	Message	Date
Kjell Tore Guttormsen	41b390b38d	chore(ms-ai-architect): refresh KB critical-bucket — 15 files [skip-docs] 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
Kjell Tore Guttormsen	baa2d0220b	feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command 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

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SHA1

Message

Date

Kjell Tore Guttormsen

41b390b38d

chore(ms-ai-architect): refresh KB critical-bucket — 15 files [skip-docs]

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

Kjell Tore Guttormsen

baa2d0220b

feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command

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

2 commits