- Python 100%
Independent post-hoc review (high-effort) of the Fase 2 vertical slice (scope 9973d9f..308b553, 32 files). Two independent reviewers converged, ground-truth-verified against source: - F1 BLOCKER (run.py:124): maker-checker debate output discarded; the validated proposal comes from a separate generate_via_llm call. - F2 BLOCKER (budget.py:81): BudgetMiddleware defined+tested but never wired onto the debate; the NFR short-circuit path is absent. - F7/F3/F4/F8/F5 MAJOR, F9 MINOR. The slice's three load-bearing seams are built + unit-tested but not connected by the orchestrator; the green e2e suite asserts proposal shape only. Fase 2 not closed — awaits operator decision. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Fif1r1En5W542HbZV88yMH |
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| docs | ||
| spikes | ||
| src/portfolio_optimiser | ||
| tests | ||
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| .python-version | ||
| CHANGELOG.md | ||
| CLAUDE.md | ||
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portfolio-optimiser
Generic, open framework on Microsoft Agent Framework (MAF) for finding cost-savings / efficiency proposals within each project of a portfolio of independent projects. Multiple agents collaborate to generate candidate proposals; a mandatory deterministic validator (solver + Monte Carlo) decides the numbers; domain experts review via human-in-the-loop, and the system learns from their verdicts.
Status: Early development (plan phase). Not yet usable.
Disclaimer — technical framework only. This project is a technical framework. Organizations that deploy it are themselves responsible for ensuring a valid processing purpose and for any required assessments (DPIA, risk/ROS, security reviews, etc.). The framework ships technical affordances (local-only mode, provenance/audit logging, no silent data egress) to enable compliant use, but makes no compliance guarantees.
Design philosophy
The result will never fit any single customer 100%. The goal is a ~90% genuinely generic core plus clear extension points, so competent people can configure the last mile per customer. We deliberately do not chase the final 10%.
Docs
docs/research/2026-06-23-prior-art-platform.md— prior-art & platform research (incl. implementation register §15).docs/plan/2026-06-23-incremental-plan.md— incremental delivery plan.
Stack
Python ≥3.10 · MAF (agent-framework) · uv. Backend profiles: Azure/Foundry (full) + local (fallback).
Develop
uv sync
uv run pytest
uv run ruff check .