Verifisert mot live Microsoft Learn (foundry/concepts/manage-costs) — alle tre nye
VERIFY-påstander bekreftet før skriving:
- (a) Project-level cost attribution (Preview): «Every Foundry project is automatically
tagged with a project tag ... You don't need to add tags manually». Begrensning bekreftet:
kun Models sold by Azure (Azure Direct/OpenAI), ikke Marketplace ennå. Lagt til ny seksjon.
- (b) Agent cost monitoring: Operate→Overview Estimated cost-tile (ekskl. prompt-/ikke-Foundry-
agenter) + Assets→Agents Estimated costs-kolonne + Build→Agents→Monitor token-kostnad. Lagt til.
- (c) 3rd-party meters: «Some providers' models are displayed as meters under Global resources ...
format model-name-GUID». Oppdatert Multi-Model-seksjonen med Global resources + Cost-by-resource.
- Modell-deployment-kostnader (Build→Models→Monitor) tatt med i samme nye seksjon.
Verifiserte korreksjoner funnet under fetch (korreksjons-disiplin, operatør-godkjent):
- Implementering-steg 2 «filtrer på Service Name: SaaS» finnes ikke i doc → «Gruppér på Meter».
- Microsoft-modeller vises under Foundry-ressursen (ikke «Cognitive Services-ressursen»).
- prompt caching «(beta)» fjernet (GA, jf. fil 1 cache-100% verifisert current).
- Model-selection-tips «GPT-3.5 Turbo i stedet for GPT-4» (legacy) → mindre/billigere modell (gpt-4o-mini).
- gateway-diagram gpt-35-turbo→gpt-4o-mini (illustrativt). Disclaimed priser urørt.
Header 2026-04→2026-06; kilde #1 stemplet Verified MCP 2026-06 (faktisk re-fetchet). validate 239/0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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>