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Claude Agent SDK sibling implementation of the portfolio-optimiser method: an open Python framework that finds cost savings inside each project in a portfolio.
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Kjell Tore Guttormsen 0f8af04e88 feat(run): S10 fullført — live-kjøring validert på 1. forsøk, artefakter persistert 
Re-kjøring etter post-mortem-fiksene: exit 0, validator=validated,
checker=approve, 2/12 runder, 36 791/150 000 tokens, kost $0.127514
(Haiku 4.5). Artefakter (proposal, provenance med §9-citations,
run_result, usage) committet som bevis på programmets ene live-kjøring
(D6) og som input til S11.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QdSfQdND84oeq2mbjueLTS
2026-07-03 10:57:28 +02:00
runs/s10 feat(run): S10 fullført — live-kjøring validert på 1. forsøk, artefakter persistert 2026-07-03 10:57:28 +02:00
shared Merge commit '97a9172311' as 'shared' 2026-07-03 06:00:11 +02:00
src/portfolio_optimiser_claude fix(run): S10 del 2 — post-mortem: stopp-artefakt, SDK-isolasjon, raw-JSON-direktiv 2026-07-03 10:49:51 +02:00
tests fix(run): S10 del 2 — post-mortem: stopp-artefakt, SDK-isolasjon, raw-JSON-direktiv 2026-07-03 10:49:51 +02:00
.gitignore feat: initial commit — repo bootstrap (D7 sibling on Claude Agent SDK) 2026-07-03 06:00:09 +02:00
CHANGELOG.md feat: initial commit — repo bootstrap (D7 sibling on Claude Agent SDK) 2026-07-03 06:00:09 +02:00
CLAUDE.md feat(scaffold): S5 — D7 sibling scaffold: SDK dep, fail-fast startup contracts, CLAUDE.md 2026-07-03 06:06:03 +02:00
pyproject.toml feat(scaffold): S5 — D7 sibling scaffold: SDK dep, fail-fast startup contracts, CLAUDE.md 2026-07-03 06:06:03 +02:00
README.md feat: initial commit — repo bootstrap (D7 sibling on Claude Agent SDK) 2026-07-03 06:00:09 +02:00
uv.lock feat(scaffold): S5 — D7 sibling scaffold: SDK dep, fail-fast startup contracts, CLAUDE.md 2026-07-03 06:06:03 +02:00

README.md

portfolio-optimiser-claude

Sibling implementation of the portfolio-optimiser method on the Claude Agent SDK (decision D7). An open, generic Python framework that finds cost savings inside each project in a portfolio of independent projects: agents generate candidate measures, a mandatory deterministic validator gates the numbers, domain experts judge via HITL, and the system learns from the verdicts.

The method itself is framework-neutral and lives in portfolio-optimiser-commons (consumed here as a git subtree under shared/): the method spec, the OKF bundle navigation contract, the golden/conformance suite (the only oracle for the validator), and the shared expert-reviewer persona skill. This repo implements that spec on the Claude Agent SDK — it does not reverse-engineer the MAF sibling.

Disclaimer: this is a purely technical framework. The deployer owns DPIA, risk assessment, and the legal basis for any processing. The framework ships only the technical preconditions (local-only operation, provenance, no silent egress).

Status

Scaffold (S5): repo, contracts, and shared core in place — no agent runs yet.

Development

uv sync          # install dependencies
uv run pytest    # test suite (runs without any API key)
uv run ruff check . && uv run ruff format --check .
uv run mypy src