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Generic, open framework on Microsoft Agent Framework (MAF): multi-agent cost-saving proposals gated by a mandatory deterministic validator, with HITL learning.
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Kjell Tore Guttormsen fc167deb59 docs(fase2): trekreview review.md — verdict ALLOW (0 funn), Fase 2 LUKKET 
Remediation review of scope 6ef4efc..01c3f0d (high-effort, both reviewers).
Two independent reviewers (brief-conformance + code-correctness) each returned
zero findings after verifying the load-bearing detach criterion against the
actual code and the installed MAF source — explicitly refusing to treat the
green suite (103 passed / 3 skipped, offline) as evidence. All 7 actionable
original findings (2 BLOCKER + 5 MAJOR) confirmed RESOLVED:
  F1 debate→generation (test_g), F2/F5/F8 BudgetMiddleware (test_h +
  test_budget.py:70; conftest re-base verified necessary vs _clients.py:214-231),
  F7 retrieval-tool exposure (spy tests). Coordinator verdict: ALLOW.
Standing items (not findings): F9 MINOR deferred, SC9 real-profile coverage,
retrieval-exposed-not-invoked, strict_usage fail-closed untested offline.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019any9zfGNNwWJPX5Zq2QRz
2026-06-26 10:03:38 +02:00
.claude/projects docs(fase2): trekreview review.md — verdict ALLOW (0 funn), Fase 2 LUKKET 2026-06-26 10:03:38 +02:00
docs docs(research): MAF 1.9.0 capability map — feature-utilization for Fase 2 [skip-docs] 2026-06-24 11:36:26 +02:00
spikes fix(fase1): spike B fan-out measures real conversation bleed, not a counter 2026-06-24 11:09:55 +02:00
src/portfolio_optimiser feat(fase2): feed debate converged output into candidate generation 2026-06-26 00:40:44 +02:00
tests style(fase2): ruff-format the re-based synthetic client (Step 1 follow-up) 2026-06-26 00:45:54 +02:00
.gitignore docs(fase2): /trekbrief — gated MVP vertical-slice brief (6/6) [skip-docs] 2026-06-24 11:56:57 +02:00
.python-version feat: initial scaffold (Python framework on Microsoft Agent Framework) 2026-06-23 22:01:22 +02:00
CHANGELOG.md feat: initial scaffold (Python framework on Microsoft Agent Framework) 2026-06-23 22:01:22 +02:00
CLAUDE.md build(fase1): add dev orchestration + solver + async deps, scaffold spikes 2026-06-24 09:57:57 +02:00
env.template docs(fase2): add env.template documenting both profiles + no-egress notes 2026-06-26 00:43:26 +02:00
pyproject.toml docs(fase2): record PEP 735 dependency-groups as intentional Step 1 deviation 2026-06-26 00:43:46 +02:00
README.md feat: initial scaffold (Python framework on Microsoft Agent Framework) 2026-06-23 22:01:22 +02:00
uv.lock build(fase2): promote orchestrations + pulp to core deps 2026-06-24 13:22:04 +02:00

README.md

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

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 .