Closes gap #3 (maalbilde §5): the GroupChat checker critiqued into the void —
output_from=[proposer] surfaced only the proposer, so an explicit checker
rejection was ignored and the deterministic validator was the sole gate. Two
falsifiers now act on the same candidate: the validator gates the NUMBERS
(blocking, unchanged), the checker gates the REASONING (maalbilde §2/§6).
- workflow.py: output_from=agents surfaces both participants; the checker
instruction ends with a VERDICT: APPROVE / VERDICT: REJECT - <reason> line.
- run.py: _authored_texts() reads author_name through out.messages (MAF 1.9.0
puts it there, not on the AgentResponse); _debate_text() now selects the
PROPOSER-authored output (fixes a latent texts[-1] regression that would feed
the checker's verdict to generation at even round counts); _checker_verdict()
parses the gate decision. An explicit REJECT overrides an otherwise-validated
outcome to a checker-sourced Rejection. Opt-in-reject (fail-open on a missing
marker). RunResult gains checker_verdict; provenance.validator_decision is
stamped from the validator outcome BEFORE the override, so it never conflates
the two falsifiers (provenance honesty).
Load-bearing (maalbilde §7): tests/test_checker_gate_loadbearing.py is a PAIR —
an explicit checker REJECT on a VALIDATOR-VALID proposal yields a Rejection whose
reason carries the checker's reason while validator_decision stays "validated";
the causality control (checker APPROVE, same proposer) validates normally. Proven
RED on BOTH detach points (revert output_from, or drop the override).
Suite 134->136 passed, 4 skipped; mypy + ruff check clean. Pre-existing
ruff-format drift (backends/budget/verdicts/test_contracts) left untouched for a
surgical diff.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHR8iKxJRxDiDfNw8HZmWE
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
Closes maalbilde §5 gap #1 (the one missing "feedback-into-prompt" dataflow)
for the OKF-bundle path. Before, ExpeL was computed AFTER generation into a
discarded SessionContext, so a prior verdict could not influence any hypothesis
(context_providers=0).
- New okf.py: framework-neutral OKF bundle navigation (index + frontmatter +
cross-links), pure stdlib, no agent_framework/mcp (D7-portable), enforced by
test_okf_is_maf_free.
- verdicts.py: seed_store_from_bundle + bundle_candidate_features build the
ExpeL substrate + the pre-hypothesis query key from a bundle.
- run_project(bundle_dir=...): folds the candidate's prior verdicts into the
generation context BEFORE generate_via_llm; the road path is unchanged.
Load-bearing (maalbilde §7): test_step1_expel_loadbearing proves a prior verdict
reaches the hypothesis prompt and goes RED when the fold is detached (shown via
TDD red->green). The marker is the minted verdict id (content hash) because
docs_dir==bundle_dir lets keyword chunk-stuffing leak the realization rate;
clean layer separation is Fase 2b.
Suite 121->133 passed; mypy + ruff check clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHR8iKxJRxDiDfNw8HZmWE
Persistent dev-fixture for energieffektivisering (energiledelse/M&V), valgt for
sin lærings-overflate: gapet mellom modellert besparelse (validatoren regner) og
faktisk realisert besparelse i drift (eksperten kjenner) — det ExpeL skal lære.
Ett kontorbygg, ett LED-retrofit-tiltak. OKF-bundle (index/project/hypothesis/
methodology/reference/verdict) bærer kontekst-laget; verdict-led-fro.md koder
realiseringsgraden (RR ≈ 0,82, forankret i National Grid SBS 2010) som ExpeL-frø.
Energi mappet inn i den EKSISTERENDE kost-IR-en uendret (affected = byggets totale
energikostnad, claimed = modellert besparelse ~10 % < 30 %-cap), så validatoren
kjører som-den-er — src/ urørt. golden.json fryser de seeded percentilene; testen
beviser at fixturen er konsumerbar (validerer, ikke Rejection), ikke bare til stede.
Domenetall verifisert mot primærkilder (EVO/IPMVP, DOE/NREL UMP, CPUC, fire
evalueringsstudier); norsk energipris mot SSB Q1 2026. README + shared/README
oppdatert (eksempel finnes, ikke lenger "planned"). Suite 121/4, ruff+mypy rene.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHR8iKxJRxDiDfNw8HZmWE
/trekreview flagged the Spike B(b) fan-out experiment as BROKEN_SUCCESS_CRITERION
(BLOCKER): it asserted a per-client call_count reached 3 on a reused instance vs
1 on a fresh one — a tautology true for any un-reset mutable counter, independent
of MAF, that never exercised the real G2/B7 shared-Workflow state-corruption
footgun. It was a false-confirm of a de-risk assumption.
Rebuilt to observe genuine MAF thread state via the messages each participant
RECEIVES (new FakeChatClient.received_texts seam):
- shared_instance_conversation_bleed: a reused built ConcurrentBuilder Workflow
accumulates the conversation across .run() calls — run N's participants receive
runs 0..N-1's prompts/replies (measured [[p0],[p0,p1],[p0,p1,p2]], strictly
monotonic) => genuine cross-run contamination.
- fresh_instance_conversation_isolation: a fresh instance per run gives each a
clean thread => each participant sees only its own project ([[p0],[p1],[p2]]).
Assumption now CONFIRMED with a meaningful observable. findings-b.md gains a
Method note recording why it was rebuilt; README rows updated.
Also fixes the MINOR: a_groupchat.run_live now mkdirs the findings dir before
write_text so a post-disposal run does not lose the measured result.
Gate green: ruff check + format, mypy src, pytest 48 passed / 1 skipped.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Fif1r1En5W542HbZV88yMH
Completes Fase 0 (skeleton & decision-lock):
- reference_domain.py + data/reference_projects.json: a synthetic
"anleggskostnad" portfolio (3 fictional construction-cost projects with
cost line items) as the framework's bundled reference input. Plain typed
loader (frozen dataclasses); the JSON-Schema data-source *contract* (B5)
is deliberately deferred to Fase 2.
- backends.py: Profile (azure|local) + ChatBackend Protocol seam +
AzureFoundryBackend/LocalBackend stubs + get_backend() selector
(fail-fast on unknown profile). Empty skeleton per D2 — create_chat_client
raises NotImplementedError until live wiring in Fase 1. Return type is the
MAF BaseChatClient (the common base of FoundryChatClient/OpenAIChatClient).
Quality gate green: ruff format + check, mypy (src) clean, 12 pytest passed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01H9FyyENxebxVThjrn9et8C
