C2-a surfaced contemplation runs but rendered each scene as a flat JSON dump —
outputs, not process. C2-b makes the loop legible: every scene is now a typed
stage in the canonical ADR-0172 arc.
Reader-first (no theater):
- schemas.py: ContemplationScene gains a typed loop projection — stage_role
(cold_attempt | engine_enrichment | engine_proposal | operator_ratifies |
grounded | other) plus the connective ids (proposal_id, candidate_id,
proposal_state, grounding_source). New ContemplationStageRole Literal.
- readers.py: _contemplation_scenes derives stage_role from the scene id
(closed set, "other" fallback) and pulls the connective ids out of the raw
detail. schema-snapshot.json regenerated.
UI:
- ContemplationRoute: the run detail now renders the arc as a staged process —
"attempt → enrich → propose → ratify → grounded" with named stage roles,
cold→grounded bookends (surfaces pulled out of before/after), the connective
ids as evidence, and the raw detail tucked into a collapsible (not lost).
Honest wrinkle (surfaced, not faked): the fixture proposals do NOT resolve in
the live proposal log (source_kinds exemplar_corpus/operator, none
contemplation), so the proposal id is shown as evidence but is intentionally
NOT a clickable cross-route link — a dead link would be theater. Live
Proposals/Calibration navigation is deferred to reader-verified linking once
real contemplation proposals reach the log.
Validation: 128 workbench Python tests + new reader-projection tests (canonical
arc → roles, unknown → "other", id extraction, detail preserved); 466/466
frontend incl. schemaDrift + the staged-process / no-dead-link test; pnpm build
clean; git diff --check clean. No serving-path imports.
Lands the Phase C "make cognition legible" slice plus Phase A residue, all
backend-reader-first over real engine data (no theater, read-only doctrine
intact, zero serving-path imports).
C1-a — Cognitive pipeline record (persistence-first, per #729 worthiness edit):
- workbench/pipeline_record.py: curated CognitivePipelineRecord over the real
CognitiveTurnResult (input → intent → proposition_graph → articulation_target
→ realizer → walk_telemetry → trace_hash). Raw field multivectors are
DELIBERATELY excluded; _assert_no_raw_field_payload recursively rejects raw
field keys, and validate_pipeline_record fails closed on missing/duplicate
stages, non-recorded status, or dangling edges — the UI can never receive a
partial record that claims to be complete.
- test_workbench_pipeline_record.py: non-vacuous guards — missing stage,
monkeypatched new required stage, and injected raw {"F": [...]} each raise.
C2-a — Contemplation as a process: /contemplation route over real persisted
contemplation/runs/*.json (glob reader; honest-empty when absent).
C4-a — Identity continuity (L10/L11): RunDetail.identity_continuity + Runs
Identity tab, sourced from the real core.engine_identity (engine_identity /
parent_engine_identity lineage relation, re-derived to verify).
Demo Theater: renders backend-owned proof-promotion + entailment DAGs.
Phase A residue: density preference wired end-to-end (settings → shell → tokens);
cross-route consistency touch-ups.
Infra: local API CORS now echoes only validated 127.0.0.1/localhost origins
(hostname-checked, not arbitrary reflection) so Vite fallback ports work.
Route chunk-split keeps the build warning-free.
Cleanup: corrected the stale ADR-0175 practice-lane assertions (build_report is
6 correct / 0 wrong / 44 refused after the current serving lane; wrong=0 held)
and the two registry-derived count tests (LeftNav + CommandPalette 12 → 13 for
the new Contemplation route).
Docs: runtime_contracts.md (pipeline-record contract), UI-UX-GUIDE,
api-contract-v1, data-shapes-v1, wave-M-worthiness, phase-a-residue-ledger.
Validation: 106 workbench/practice Python tests green (incl. wrong=0 lane +
pipeline-record fail-closed guards); 459/459 frontend; pnpm build clean;
git diff --check clean. No generate.derivation / reliability_gate / stream /
field.propagate / vault.store imports.
Bundles three post-Tier-1 follow-ups into one PR (no scope change, no
new ADR — implementation tightening on the already-shipped corridor).
(1) Standalone JSONL self-containment
teaching/math_contemplation_proposal.py
+ to_jsonl_record() — emits proposal_id + full evidence_pointers
(nested dicts including audit_row) + full reasoning_trace.steps
+ from_jsonl_record() — inverse; goes through build_proposal()
so all invariants are re-validated; raises on proposal_id mismatch
canonical_bytes() UNCHANGED (still the content-hash function;
trace_id/proposal_id stability preserved)
core/cli.py W3 lane now writes to_jsonl_record() output instead of
canonical_bytes() — same compact-JSON encoding (sort_keys=True,
ensure_ascii=False, separators=(",", ":"))
workbench/readers.py loads via self-contained record fields directly;
decompose_audit() re-run removed. read_math_proposal() now reads
reasoning_trace.steps and evidence_pointers from the JSONL record.
(2) Widened change_kind heuristic dispatch
teaching/math_contemplation.py
+ _CHANGE_KIND_BY_PAIR table on (refusal_reason, missing_operator):
(unexpected_category, pre_frame_filler_sentence) → matcher_extension
(unexpected_category, multi_subject_sentence) → frame_reclassification
(unexpected_category, fraction_percentage_literal) → matcher_extension
(unexpected_category, descriptive_frame_question) → frame_reclassification
(unresolved_pronoun, pronoun_resolution) → matcher_extension
Single-key fallback (lexicon_entry/narrowness_violation/
frame_unrecognized) retained for completeness.
hypothesis-step justification text updated to reflect new table.
Result on audit_brief_11.json:
3 matcher_extension (was 0)
2 frame_reclassification (was 0)
3 injector_sub_shape (was 8)
0 vocabulary_addition (no unknown_word group ≥2 in train sample)
(3) shape_category structural gap
MathReaderRefusalEvidence does not carry shape_category, so the
proposal cannot derive it. All proposals continue to emit
ShapeCategory.UNCATEGORIZED with a structural-gap comment. No
invented values — handler dispatch decision (per ADR-0167-FOLLOWUPS
§1) drives ratification routing today, not shape_category.
Tests
+ W1: 5 new tests (to_jsonl_record self-containment, round-trip,
byte stability, proposal_id mismatch rejection, canonical_bytes
unchanged invariant)
+ W2: 3 new pair-dispatch tests + real-audit change_kind distribution
test + shape_category-uncategorized test
+ W3: 2 new tests (records are self-contained, round-trip via
from_jsonl_record); existing byte-comparison test updated to use
proposal_id ordering instead of canonical_bytes
+ W4: existing 6 tests updated to build JSONL via to_jsonl_record;
+ 1 new decoupling test that drops teaching.math_contemplation from
sys.modules and verifies the workbench still loads + serves detail
Verification
- core eval math-contemplation produces the expected 3/2/3 distribution
- core test --suite teaching -q → 33 passed
- core test --suite runtime -q → 20 passed
- All 57 ADR-0172 W1-W4 tests pass (49 existing + 8 new)
Determinism / invariants preserved
- canonical_bytes() byte-stable (test pins this)
- to_jsonl_record() byte-stable via sort_keys=True + no floats
- wrong=0 invariant: proposals stay evidence-only; no auto-apply
- ChangeKind Literal unchanged (4 values; no new ones invented)
Wires teaching/math_proposals/proposals.jsonl into the CORE Workbench
API (ADR-0160) alongside the existing cognition proposal queue:
workbench/schemas.py
- MathReasoningStep, MathProposalSummary, MathProposalDetail,
MathRatifyResult schemas
workbench/readers.py
- MATH_PROPOSALS_JSONL + _DEFAULT_MATH_AUDIT_PATH constants
- teaching/math_proposals added to ALLOWED_ARTIFACT_ROOTS
- _HANDLER_DISPATCH table (vocabulary_addition→LexicalClaim; all
others not yet implemented)
- list_math_proposals(), read_math_proposal(), ratify_math_proposal()
- read_math_proposal() re-runs decompose_audit() to recover full
4-step reasoning trace (canonical_bytes only carries trace_id)
- ratify_math_proposal() raises NotImplementedError with clear
"handler not yet implemented: {change_kind}" for unhandled kinds
workbench/api.py
- GET /math-proposals, GET /math-proposals/{id}
- POST /math-proposals/{id}/ratify → _math_ratify()
(vocabulary_addition→200/routed; unhandled→501 with loud message)
tests/test_adr_0172_w4_workbench_e2e.py — 6 tests:
1. loads from JSONL
2. renders domain:math badge (distinct from cognition /proposals)
3. ratify-vocabulary_addition routes to LexicalClaim (200)
4. ratify-matcher_extension fails loudly (501 "handler not yet
implemented")
5. all 4 trace steps visible in detail response
6. no cross-contamination between math and cognition queues
teaching + runtime suites green (28 + 20 passed).
Brief-gap note: canonical_bytes() excludes proposal_id and serialises
evidence pointers as hashes only. D1 loader derives proposal_id via
sha256(line_bytes) and re-runs decompose_audit() to recover full trace
for read_math_proposal(). This works but means the JSONL cannot be
loaded without the original audit file. If a future wave needs
standalone JSONL loading, C1 should emit a richer format.
