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 8814a698c2 feat(fase2b): OKF-navigated bundle context replaces chunk-stuffing
Closes the honest Fase 2a limitation: docs_dir==bundle_dir let keyword
chunk-stuffing leak the verdict's realization rate ("0.82") into the debate /
generation prompt regardless of the ExpeL fold (it surfaced from both
verdict-led-fro.md AND golden.json). The realization signal now reaches the
hypothesis prompt ONLY via the gated ExpeL fold.

- okf.py: bundle_context() + Bundle.context_files render the navigated bundle
  (index + frontmatter + cross-links) as the agent read-context, EXCLUDING
  type: verdict (maalbilde §2/§4). Pure stdlib, still MAF-free.
- datasource.py: bundle_citations() derives first-class citations from the
  navigated non-verdict files.
- run_project: on the bundle path context + citations + debate tools come from
  navigation (tools=[]; navigation replaces query-time RAG); the road path keeps
  chunk-stuffing unchanged.

Load-bearing (maalbilde §7): the marker is upgraded from the minted verdict id
to the realization signal itself. The empty-store control now asserts "0.82"
reaches NO prompt — RED against the pre-2b chunk-stuffing path, green after
navigation (TDD red->green). New okf-level test_bundle_context_excludes_verdict_layer
guards the seam directly.

Suite 133->134 passed, 4 skipped; mypy + ruff check clean. Reverted unrelated
ruff-format drift (backends/budget/verdicts/test_contracts) to keep the diff
surgical.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHR8iKxJRxDiDfNw8HZmWE
2026-06-30 06:42:19 +02:00
.claude/projects docs(fase3): remediation plan for the 2 /trekreview MAJOR findings (F1+F2) 2026-06-26 15:07:48 +02:00
docs docs(maalbilde): konsolidert agentisk-loop baseline + OKF-kontekstarkitektur 2026-06-26 20:56:14 +02:00
shared docs(shared): conform bygg-energi-mikro to the shared OKF spec (okf_version 0.1) 2026-06-29 14:50:04 +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(fase2b): OKF-navigated bundle context replaces chunk-stuffing 2026-06-30 06:42:19 +02:00
tests feat(fase2b): OKF-navigated bundle context replaces chunk-stuffing 2026-06-30 06:42:19 +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 feat(fase2b): OKF-navigated bundle context replaces chunk-stuffing 2026-06-30 06:42:19 +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(fase2b): OKF-navigated bundle context replaces chunk-stuffing 2026-06-30 06:42:19 +02:00
uv.lock build(fase2): promote orchestrations + pulp to core deps 2026-06-24 13:22:04 +02:00

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. The deterministic backbone is solid; the agentic learning loop is being wired one load-bearing seam at a time — Step 1 (OKF-navigated context → hypothesis) is wired, with the verdict layer kept out of the read-context (see below). Not yet end-to-end 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%.

Agentic loop — wiring status

The mandatory deterministic backbone (validator + budget meter + provenance) is solid and load-bearing. The agentic learning loop (see the target picture §11) is wired one seam at a time:

  • Step 1 — OKF context → hypothesis (wired). run_project(..., bundle_dir=...) wires the first agentic seam in two halves:
    • Context by navigation, not stuffing. The agent read-context is built by navigating the project's OKF bundle (index.md + frontmatter + cross-links, progressive disclosure) — never keyword chunk-stuffing (target picture §2/§4).
    • Verdict layer gated out of context. The type: verdict layer is excluded from that context; the candidate's prior expert verdicts reach the hypothesis prompt only through the gated ExpeL fold (folded in before generation), so a prior verdict provably — and exclusively — influences the next hypothesis.
    • Two load-bearing tests fail when the seam is detached: the realization signal must reach the prompt via the fold (tests/test_step1_expel_loadbearing.py), and must never leak via context (tests/test_okf.py::test_bundle_context_excludes_verdict_layer).
  • Steps 38 (checker gating, informed refinement, async file feedback, gated wiki promotion) — not yet wired.

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 .