core/workbench
Shay 53ff9359a8 feat(workbench): Wave M C3 field substrate — persist-first field evidence
Makes the CL(4,1) field geometry legible, honestly. The engine owns the field;
this surfaces ONLY the exact scalar invariants it computes — never the raw
multivector — so the workbench shows "this is the geometry, it's exact, it
can't fake coherence" without a decorative blob or any motion.

Persist-first (the C3 gating work was Python, not React): the honest scalars
were computed live per turn but discarded. Now captured per turn into the
journal so a read-only surface has real evidence.

Backend:
  - workbench/field_evidence.py: FieldEvidence computed from the engine result —
    exact versor_condition, field_valid (vs the 1e-6 ceiling), a content-
    addressed field_digest (sha256 of the engine-canonical array bytes), and
    cga_inner(before, after) as the exact transition value. Raw field bytes
    never cross the boundary: only floats + digests. validate() is fail-closed —
    field_valid can never disagree with versor_condition vs the ceiling (the
    wrong=0 analogue for the geometry). No engine math re-implemented
    (versor_condition / cga_inner imported from algebra; bytes via array_codec).
  - workbench/schemas.py: FieldEvidence dataclass; field_evidence on
    ChatTurnResult + TurnJournalEntrySchema. schema-snapshot.json regenerated.
  - workbench/journal.py + api.py: persisted at from_chat_turn; first-class read
    endpoint GET /trace/{turn_id}/field (trace facet, consistent with /pipeline).
  - workbench/replay.py: field_evidence classified CRITICAL — replay now also
    proves field determinism (digest + scalars must match on re-execution).

Frontend:
  - types/api.ts FieldEvidence + field_evidence passthrough; client/query hook;
    FieldInvariantCard (measured value vs ceiling, cga_inner transition, digests;
    honest missing_evidence; no blob, no motion); Trace route Field tab.

Honest-empty for pre-widening journal rows (missing_evidence). Deferred:
cross-turn field-coherence trends, session-level field persistence.

Validation: 138 workbench/practice Python tests (incl. non-vacuous field guards
+ replay field-determinism); 465/465 frontend incl. schemaDrift; pnpm build
clean; git diff --check clean. No generate.derivation / reliability_gate /
stream / field.propagate / vault.store imports.
2026-06-13 16:26:46 -07:00
..
__init__.py
api.py feat(workbench): Wave M C3 field substrate — persist-first field evidence 2026-06-13 16:26:46 -07:00
calibration.py feat(workbench): land B3.5-b/c/d/e — calibration evidence subject, B4a leeway gate, docs; runner-reproducible practice artifact 2026-06-13 07:36:44 -07:00
field_evidence.py feat(workbench): Wave M C3 field substrate — persist-first field evidence 2026-06-13 16:26:46 -07:00
journal.py feat(workbench): Wave M C3 field substrate — persist-first field evidence 2026-06-13 16:26:46 -07:00
pipeline_record.py feat(workbench): Wave M Phase C legibility — pipeline record, contemplation, identity continuity 2026-06-13 15:44:31 -07:00
readers.py feat(workbench): Wave M Phase C legibility — pipeline record, contemplation, identity continuity 2026-06-13 15:44:31 -07:00
replay.py feat(workbench): Wave M C3 field substrate — persist-first field evidence 2026-06-13 16:26:46 -07:00
schemas.py feat(workbench): Wave M C3 field substrate — persist-first field evidence 2026-06-13 16:26:46 -07:00
server.py feat(workbench): Wave M Phase C legibility — pipeline record, contemplation, identity continuity 2026-06-13 15:44:31 -07:00