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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 a0f263bf41 feat(fase2): first-class Pydantic provenance stamp
2026-06-24 13:26:55 +02:00
.claude/projects docs(fase2): /trekplan — adversarial-reviewed implementation plan [skip-docs] 2026-06-24 12:58:33 +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): first-class Pydantic provenance stamp 2026-06-24 13:26:55 +02:00
tests feat(fase2): first-class Pydantic provenance stamp 2026-06-24 13:26:55 +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
pyproject.toml build(fase2): promote orchestrations + pulp to core deps 2026-06-24 13:22:04 +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 .