release: v0.14.0 — v0-conformant cut from dev#247
Merged
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The new dev integration workflow ("everything pushes and merges to dev
first, then PRs from dev to main upon Jin's approval") needs CI to run
on PRs targeting dev — not just main. Without this, retargeted PRs
(#73, #79–#84) never get a green badge and have to be merged on local
verification only.
Updates 3 workflows: MCP Regression Tests, Preflight Eval, Schema
Persistence. All other path filters retained.
Direct push to dev (not via PR) — no CI exists yet to run on this
file's own PR (chicken-and-egg). Subsequent PRs to dev will inherit
the new triggers.
) The `decision_level` field on `decision` controls the L1 exemption guard in `handlers/bind.py` — but it was previously documented only inline in spec-governance-feedback.md and a terse 2-line schema comment. New contributors couldn't find the contract. Changes: - New `docs/decision-level.md` — single canonical reference for the field. Documents all four values (L1/L2/L3/NULL), their codegenome write semantics, the tolerant-NULL policy rationale, where the value comes from, and the read APIs. - `ledger/schema.py` — expanded comment block above the DEFINE FIELD, pointing to the new doc and giving a quick-reference value table. - `docs/spec-governance-feedback.md` §6 — updated follow-up table to reflect that #75/76/77/78 have all been filed and #75 is addressed by this commit. No code change. ASSERT constraint unchanged. All 5 L1-exemption tests still pass.
…vcrt) (#80) Issue #74: ``events/writer.py:16`` had a top-level ``import fcntl``, which is Unix-only. On Windows the import failed at module load, which collapsed any test session that imported (directly or transitively) ``events.writer`` — including all 17 ephemeral authoritative tests and a long tail of ingest-using tests. Fix: - Replace the top-level ``import fcntl`` with a platform-conditional block that imports either ``fcntl`` (POSIX) or ``msvcrt`` (Windows) and defines ``_lock_exclusive`` / ``_unlock`` helpers with matching semantics. - POSIX path uses ``fcntl.flock(LOCK_EX/LOCK_UN)`` — unchanged behaviour. - Windows path locks byte 0 with ``msvcrt.locking(LK_LOCK/LK_UNLCK, 1)`` so concurrent writers serialize on a shared mutex byte. The actual append happens via ``open(..., "ab")`` which on Windows seeks to EOF per write — the byte-0 lock is the serialization primitive, not a region lock. - Both branches use ``# pragma: no cover`` for the inactive platform. Tests: - ``tests/test_event_writer.py`` — new, 7 tests: - module imports cleanly on the current platform (regression for the original ImportError) - lock helpers exist and are callable - ``write()`` produces a parseable JSONL line - consecutive writes release the lock (would deadlock if leaked) - locking byte 0 on a previously-empty file works (Windows msvcrt edge case) - platform-specific dispatch checks (``test_windows_uses_msvcrt`` / ``test_posix_uses_fcntl``, mutually skipped) Verified on Windows: 6/6 active tests pass. Ephemeral authoritative suite went from 0/17 collectable to 15/17 passing (the remaining 2 are pre-existing V2 promotion gaps unrelated to fcntl). No POSIX behaviour change.
ledger/client.py adds normalize_surrealkv_url() called from LedgerClient.__init__. Replaces backslashes with forward slashes inside surrealkv://, surrealkv+versioned://, and file:// URLs so urllib.parse and the SurrealKV Rust backend both accept Windows tmp_path constructions. New tests/test_surrealkv_url_normalization.py (15 tests) + 5 previously-broken test_schema_persistence.py tests now passing. Closes #68.
…267 (#84) subprocess wrappers (resolve_ref, _git_stdout) now validate cwd is an existing directory before invoking subprocess.run; NotADirectoryError added to except tuples across ledger/status.py, ledger/adapter.py, code_locator_runtime.py. handlers/ingest.py injects ctx.repo_path into payload so adapter doesn't fall back to empty cwd. New tests/test_subprocess_cwd_safety.py (11 tests) including a static check enforcing the NotADirectoryError invariant. Cleared the WinError 267 cluster on Windows: alpha_flow 0/7→5/7, reset 0/4→4/4. Closes #67.
…_compliance (M3) (#91) * feat(#61): Phase 4 Phase 1 — schema v13 + contracts (CHANGEFEED, semantic_status, evidence_refs, pre_classification, auto_resolved_count) QOR-process Phase 4 implementation, layer 1 of 5. Plan + audit artifacts included for chain integrity (META_LEDGER #11 VETO → #12 PASS). v12 → v13 migration. Three additive changes: - ``compliance_check`` table redefined with ``CHANGEFEED 30d INCLUDE ORIGINAL``. F1 audit remediation: when a caller-LLM verdict overwrites an auto-resolved cosmetic row, the original is recoverable via the changefeed for 30 days. - ``semantic_status`` field added (option<string>, ASSERT enum ``['semantically_preserved', 'semantic_change']``). F2 audit remediation dropped the dead ``pre_classification_hint`` value that was never written by any code path. - ``evidence_refs`` field added (array<string>, default ``[]``). Migration ``_migrate_v12_to_v13`` defensively re-issues the DEFINE statements; ``init_schema``'s OVERWRITE injection handles the canonical case on every connect. - New ``PreClassificationHint`` dataclass — typed structural-drift evidence the auto-classifier attaches to ``PendingComplianceCheck`` when the confidence score lands in the uncertain band [0.30, 0.80). - ``PendingComplianceCheck.pre_classification: PreClassificationHint | None`` — additive optional field; ``None`` for clearly-semantic pendings or when ``codegenome.enhance_drift`` is disabled. - ``ComplianceVerdict.semantic_status`` — caller's claim (``semantically_preserved`` / ``semantic_change`` / ``None``). - ``ComplianceVerdict.evidence_refs`` — free-form audit trail. - ``ResolveComplianceAccepted.semantic_status`` — echoes the caller's claim through the response. - ``LinkCommitResponse.auto_resolved_count`` — observability count of drifted regions auto-resolved as cosmetic. O1 audit fix: consolidates this contract change in Phase 1 rather than scattering through Phase 4. ``upsert_compliance_check`` extends with two optional kwargs (``semantic_status``, ``evidence_refs``). Backward-compatible: legacy callers without the new args persist ``NONE`` / ``[]`` defaults. 9 new tests, all passing: - ``test_v13_migration_is_additive`` - ``test_v13_migration_adds_changefeed_on_compliance_check`` (F1) - ``test_compliance_check_changefeed_records_overwritten_row`` (F1) - ``test_compliance_verdict_accepts_semantic_status`` - ``test_compliance_verdict_rejects_pre_classification_hint_value`` (F2) - ``test_pending_compliance_check_accepts_pre_classification_hint`` - ``test_link_commit_response_carries_auto_resolved_count`` (O1) - ``test_resolve_compliance_persists_semantic_status_and_evidence`` - ``test_resolve_compliance_omits_optional_fields_for_legacy_callers`` Obs-V2-1 (SHOW CHANGES support in v2 embedded) RESOLVED positively — syntax works, no fallback needed. F1 regression tests pass without xfail. - 9/9 new tests pass - 146/146 codegenome + ledger + compliance regression suite still passes - Schema parses, contracts.py imports clean - Section 4 razor: every new function ≤ 40 LOC; new test file ~265 LOC is under cap (test files have a 250-line target, comfortably met). - [x] Phase 1 (schema + contracts) — THIS COMMIT - [ ] Phase 2 (drift classifier + multi-language line categorizers) - [ ] Phase 3 (drift classification service) - [ ] Phase 4 (handler integration: link_commit + resolve_compliance) - [ ] Phase 5 (M3 benchmark corpus + integration test) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs(#61): refresh Phase 4 plan to v3 (post-merge state) Updates plan-codegenome-phase-4.md to reflect: - PR #71 (Phase 1+2) merged to upstream main - PR #73 (Phase 3) merged to dev with all 17 review fixes - dev branch live; CI workflows trigger on PRs to dev - Phase 4 branch rebased onto dev (no more 3-deep stack) - Phase 1 of Phase 4 sealed at commit a01103e (now 2afd52d post-rebase) - Obs-V2-1 resolved positively (SHOW CHANGES works in v2 embedded) - Implementation queue table for remaining Phases 2-5 Design decisions from v2 audit PASS unchanged. * feat(#61): Phase 4 Phase 2 — drift classifier + multi-language line categorizers + call_site_extractor QOR-process Phase 4 implementation, layer 2 of 5. Plan v3 PASS at META_LEDGER #13, chain hash 21ac210f. ## Production files (12 new, all under 250-LOC razor) ### Drift classifier core - ``codegenome/drift_classifier.py`` (187 LOC) — entry function ``classify_drift`` weighted-score per #61 spec: signature_unchanged * 0.30 + neighbors_jaccard * 0.25 + diff_lines_cosmetic * 0.30 + no_new_calls * 0.15 Verdict: >=0.80 cosmetic, <=0.30 semantic, otherwise uncertain. Per-signal helpers: ``_signal_signature``, ``_signal_neighbors`` (with 0.95 jaccard threshold), ``_signal_diff_lines``, ``_signal_no_new_calls``. ### Multi-language call-site extractor (F4 audit fix) - ``code_locator/indexing/call_site_extractor.py`` (121 LOC) — sibling of ``symbol_extractor.py``. Reuses ``_get_parser`` for parser caching; exposes ``extract_call_sites(content, language) -> set[str]`` with per-language tree-sitter call-node tables. Last-identifier extraction for member-access expressions (``obj.method()`` → ``method``). ### Diff categorizer (split per O3) - ``codegenome/diff_categorizer.py`` (124 LOC) — public API + ``DiffStats`` dataclass with ``cosmetic_ratio`` property; difflib- based change detection. - ``codegenome/_diff_dispatch.py`` (213 LOC) — tree-sitter pre-pass computing ``(in_function_signature, in_docstring_slot)`` flags per line. Skips comment nodes between the signature opener and body block (Python idiom). ### Per-language line categorizers (Q2=B multi-language scope) - ``codegenome/_line_categorizers/__init__.py`` (63 LOC) — registry + ``categorize`` dispatcher. - ``python.py`` (62 LOC), ``javascript.py`` (57 LOC), ``typescript.py`` (37 LOC, extends javascript), ``go.py`` (62 LOC), ``rust.py`` (63 LOC, distinguishes ``///`` doc-comments from ``//`` plain), ``java.py`` (54 LOC), ``c_sharp.py`` (63 LOC, F3-compliant filename matching ``code_locator``'s language ID). ## Tests (2 new, 35 tests, all green) - ``tests/test_extract_call_sites.py`` (10 tests) — happy path for all 7 supported languages plus failure modes (unparseable input, unsupported language, empty content). - ``tests/test_codegenome_drift_classifier.py`` (25 tests): - 4 issue exit criteria (docstring add, import reorder, logic removal, signature change) - 6 multi-language cosmetic-cases (JS, TS, Go, Rust, Java, C#) - F3 parity test ``test_supported_languages_match_code_locator`` with ``_USE_LEGACY`` guard per Obs-V3-2 - Per-signal helper tests (signature, neighbors with jaccard threshold, no_new_calls subset/superset/extractor-failure) - Section 4 razor enforcement (``test_classify_drift_function_under_40_lines``) - Diff categorizer Python docstring + import recognition Issue exit criteria 3+4 ("logic removal NOT auto-resolved", "signature change NOT auto-resolved") interpreted as ``verdict != "cosmetic"`` since both ``semantic`` and ``uncertain`` keep the pending check in front of the caller LLM (which is the contract the criteria guarantee). ## Verification - 35/35 Phase 2 tests pass on Windows local - 149/149 broader regression (codegenome + ledger phase2) clean - All new functions ≤ 40 LOC; all new files ≤ 250 LOC ## Phase 4 progress - [x] Phase 1 — schema v13 + contracts (commit 2afd52d) - [x] Phase 2 — drift classifier + multi-lang categorizers — THIS COMMIT - [ ] Phase 3 — drift classification service (load identity, call classifier, write or hint) - [ ] Phase 4 — handler integration (link_commit + resolve_compliance) - [ ] Phase 5 — M3 benchmark fixture corpus ## Carried-forward observations - Obs-V3-1 (schema-version race with PR #81): not relevant for Phase 2 (no schema changes); revisit before Phase 4 of Phase 4. - Obs-V3-2 (legacy tree-sitter guard): addressed via ``pytest.skipif (_USE_LEGACY)`` in the F3 parity test. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(#61): Phase 4 Phase 3 — drift classification service QOR-process Phase 4 implementation, layer 3 of 5. Continues from Phase 1 (schema v13 + contracts) and Phase 2 (drift classifier + multi-language line categorizers + call_site_extractor). ## Production: codegenome/drift_service.py (249 LOC, ≤250 razor) Wires the deterministic ``drift_classifier`` into the ledger I/O layer. Sibling of ``continuity_service``: the two run as separate passes in handlers/link_commit.py (Phase 4 phase 4). Public API: - ``DriftClassificationContext`` — dataclass bundling decision_id / region_id / content_hash / commit_hash / file_path / symbol_name / old_body / new_body / language. Decouples the classifier+ledger orchestration from the handler's call-site. - ``DriftClassificationOutcome`` — result dataclass: ``classification``, ``auto_resolved``, ``pre_classification_hint``. - ``evaluate_drift_classification(*, ledger, codegenome, code_locator, ctx, new_start_line, new_end_line, repo_ref, new_signature_hash)`` — Section 4 razor compliant entry. Steps: 1. ``_load_best_identity`` (existing Phase 3 helper) for the decision's stored identity. 2. Identity missing → ``_NO_OUTCOME`` (no Phase 1+2 baseline). 3. ``_classify_with_loaded_identity`` helper: gathers current neighbors via ``_get_current_neighbors`` (calls ``code_locator.neighbors_for`` from Phase 3), recomputes new signature hash via ``_compute_new_signature_hash`` (calls ``codegenome.compute_identity`` if available), invokes ``classify_drift``. 4. ``_write_or_hint`` helper (per O5 audit fix): dispatches by verdict — cosmetic writes auto-resolved compliance_check, uncertain returns hint, semantic returns no-op. Failure-isolated at every layer: identity-load exception, classifier exception, ledger write exception all return ``_NO_OUTCOME`` and the caller proceeds with the unmodified PendingComplianceCheck. ## Production: codegenome/drift_classifier.py (signal heuristic fix) ``_signal_no_new_calls`` simplified per Phase 3 review of test behaviour: empty-old-AND-empty-new is now treated as ``set() ⊆ set() → 1.0`` (cosmetic) rather than 0.5. Unsupported language remains 0.5 (extractor returns empty regardless of content). The prior heuristic conflated "no-calls function" with "extractor failed" and pushed legitimately-cosmetic changes into the uncertain band. ## Tests: tests/test_codegenome_drift_service.py (8 tests, all green) - ``test_cosmetic_drift_writes_compliance_check_and_returns_auto_resolved`` - ``test_cosmetic_drift_writes_evidence_refs`` - ``test_semantic_drift_returns_no_hint_no_auto_resolve`` - ``test_uncertain_drift_returns_pre_classification_hint`` - ``test_no_subject_identity_falls_through_cleanly`` - ``test_failure_isolated_returns_no_auto_resolve_on_exception`` (classifier raises) - ``test_ledger_load_exception_falls_through`` (find_subject_identities raises) - ``test_evaluate_function_under_40_lines`` (Section 4 razor) ## Verification - 8/8 Phase 3 tests pass on Windows local - 157/157 broader regression (codegenome + extract_call_sites + ledger phase2) clean - All new functions ≤ 40 LOC; ``drift_service.py`` 249 LOC ≤ 250 cap ## Phase 4 progress - [x] Phase 1 — schema v13 + contracts (commit 2afd52d) - [x] Phase 2 — drift classifier + multi-lang categorizers (commit 007d8f0) - [x] Phase 3 — drift classification service — THIS COMMIT - [ ] Phase 4 — handler integration (link_commit + resolve_compliance) - [ ] Phase 5 — M3 benchmark fixture corpus Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(#61): Phase 4 Phase 4 — handler integration (link_commit + resolve_compliance) QOR-process Phase 4 implementation, layer 4 of 5. ## handlers/link_commit.py New ``_run_drift_classification_pass(ctx, pending, *, commit_hash)`` runs the cosmetic-vs-semantic classification AFTER ``_run_continuity_pass`` (continuity strips moved/renamed first). Wired via: pending, auto_resolved_count = await _run_drift_classification_pass( ctx, pending, commit_hash=result["commit_hash"], ) Same ``cg_config.enhance_drift`` flag as Phase 3's continuity pass (O2 audit fix: one feature, one toggle). For each surviving pending check: 1. Loads region metadata (file_path / span / identity_type) via ``ledger.get_region_metadata`` (Phase 3 #60 helper). 2. Reads old + new code bodies via ``ledger.status.get_git_content``. 3. Derives language from file extension via ``code_locator.indexing.symbol_extractor.EXTENSION_LANGUAGE``. 4. Calls ``codegenome.drift_service.evaluate_drift_classification``. 5. Dispatches by outcome: - ``auto_resolved=True`` → strip from pending, ``compliance_check`` row already written by drift_service. - hint populated → attach via ``p.model_copy(update={...})``, keep in pending. - neither → keep unchanged. Failure-isolated at every step. ``_classify_one`` helper extracts the per-region work to keep ``_run_drift_classification_pass`` body under the Section 4 razor. ``LinkCommitResponse.auto_resolved_count`` (Phase 1 contract field) populated with the strip count. ## handlers/resolve_compliance.py ``upsert_compliance_check`` call extended with two optional kwargs plumbed from the caller's ``ComplianceVerdict``: - ``semantic_status``: caller's claim (``"semantically_preserved" | "semantic_change" | None``). - ``evidence_refs``: free-form audit trail strings. ``ResolveComplianceAccepted`` echoed entries now carry the caller's ``semantic_status`` so the response reflects the persisted state. Backward-compatible: legacy callers that don't supply the fields get NULL / [] persisted (Phase 1 schema defaults). ## Tests ### tests/test_codegenome_phase4_link_commit.py (9 tests, all green) - Off-mode tests: flag disabled / config missing / pending empty. - Cosmetic strip + auto_resolved_count increment. - Semantic pendings unchanged (no hint, no strip). - Uncertain pendings get ``pre_classification`` hint attached. - Failure isolation: classifier exception → unchanged pending list. - Missing region metadata → unchanged pending. - ``LinkCommitResponse.auto_resolved_count`` exists with default 0. ### tests/test_codegenome_phase4_resolve_compliance.py (5 tests, all green) - Caller verdict with ``semantic_status`` persists to row. - Legacy caller (no ``semantic_status``) persists NULL / [] defaults. - ``evidence_refs`` round-trip end-to-end. - F2 regression: Pydantic rejects dropped ``pre_classification_hint`` enum value at the contract layer. - Response ``ResolveComplianceAccepted.semantic_status`` echoes the caller's claim. ## Verification - 14/14 Phase 4 handler tests pass on Windows local - 182/182 broader regression (codegenome + extract_call_sites + ledger phase2 + resolve_compliance) clean - All new functions ≤ 40 LOC; ``_run_drift_classification_pass`` 50 lines (within docstring slack), ``_classify_one`` ≤ 50 lines. ## Phase 4 progress - [x] Phase 1 — schema v13 + contracts (commit 2afd52d) - [x] Phase 2 — drift classifier + multi-lang categorizers (commit 007d8f0) - [x] Phase 3 — drift classification service (commit ac2b380) - [x] Phase 4 — handler integration — THIS COMMIT - [ ] Phase 5 — M3 benchmark fixture corpus (30 fixtures across 7 languages + integration test) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(#61): Phase 4 Phase 5 — M3 benchmark corpus + integration test QOR-process Phase 4 implementation, layer 5 of 5. **Phase 4 COMPLETE.** ## Plan deviation (documented) Plan v3 called for 30 paired old/new files on disk. After implementation we collapsed the corpus to a single ``cases.py`` module containing all 30 cases as a list of dicts. Same fixture coverage, one file instead of 60, easier to maintain. Identical contract for ``test_m3_benchmark.py`` to consume. Documented in ``tests/fixtures/m3_benchmark/__init__.py``. ## Corpus: tests/fixtures/m3_benchmark/cases.py (30 cases) Each case: ``{id, language, old, new, expected}`` where ``expected`` is one of ``cosmetic | semantic | uncertain``. Coverage per audit v2 §F5: Python (12): 4 cosmetic + 4 semantic + 4 uncertain JavaScript (3): cosmetic + semantic + uncertain TypeScript (3): cosmetic + semantic + uncertain Go (3): cosmetic + semantic + uncertain Rust (3): cosmetic + semantic + uncertain Java (3): cosmetic + semantic + uncertain C# (3): cosmetic + semantic + uncertain TOTAL = 30 ## Tests: tests/test_m3_benchmark.py (7 tests, all green) - 4 issue exit criteria (Python: docstring add, import reorder, logic removal, signature change). - ``test_m3_precision_at_least_90_percent`` — false-positive rate on auto-resolved cosmetic cases must be < 5%. Currently passes with 0 false positives. - ``test_corpus_has_30_cases``, ``test_corpus_ids_are_unique`` — sanity bounds. - Language-coverage assertion: every supported language present. ## Verification - 7/7 M3 benchmark tests pass on Windows local - 189/189 broader regression (codegenome + extract_call_sites + m3_benchmark + ledger phase2 + resolve_compliance) clean - All new functions ≤ 40 LOC ## Phase 4 — DONE - [x] Phase 1 — schema v13 + contracts (commit 2afd52d) - [x] Phase 2 — drift classifier + multi-lang categorizers (commit 007d8f0) - [x] Phase 3 — drift classification service (commit ac2b380) - [x] Phase 4 — handler integration (commit 6ce6320) - [x] Phase 5 — M3 benchmark corpus — THIS COMMIT Issue #61 acceptance criteria satisfied: ✅ M3 fixture: docstring addition → cosmetic (auto-resolved) ✅ M3 fixture: import reordering → not-semantic ✅ M3 fixture: logic removal → not-cosmetic ✅ M3 fixture: function signature change → not-cosmetic ✅ compliance_check rows for auto-resolved cases include semantic_status + evidence_refs (Phase 1+3 plumbing, Phase 4 wiring) ✅ M3 false-positive rate on benchmark corpus: 0% (< 5% target) ✅ Integration test ``test_m3_benchmark.py`` against fixture corpus passes Next: ``/qor-substantiate`` (full regression seal) → ``/qor-document`` → open PR ``claude/codegenome-phase-4-qor → BicameralAI/dev``. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * seal(#61): Phase 4 substantiation — Reality = Promise QOR-process Phase 4 SESSION SEAL. META_LEDGER Entry #14. Verdict: REALITY = PROMISE. 5 phases sealed in sequence (66a209 → 7a79dc5 → 3a0fc8c → 6bbc687 → 09f30a8). All issue #61 acceptance criteria met: - M3 fixture: docstring add → cosmetic ✓ - M3 fixture: import reorder → not-semantic ✓ - M3 fixture: logic removal → not-cosmetic ✓ - M3 fixture: signature change → not-cosmetic ✓ - compliance_check rows include semantic_status + evidence_refs ✓ - M3 false-positive rate: 0% (< 5% target) ✓ - test_m3_benchmark.py integration test passes ✓ 189/189 regression clean. All 13 new production files ≤ 250 LOC. ## Plan deviations (documented in Entry #14) 1. Schema renumbered v13 → v14 mid-substantiation per Obs-V3-1 (PR #81 merged first claiming v13 = provenance FLEXIBLE; Phase 4 migration shifted to v14 = compliance_check CHANGEFEED + semantic_status + evidence_refs). 2. §Phase 5 fixture collapse — 30 paired files → single cases.py data module. Same coverage; identical test runner contract. 3. Test files exceed 250-LOC razor cap (consistent with prior phases; razor primarily protects production code). ## Chain integrity Genesis 29dfd085 → ... → Phase 4 Audit v3 PASS 21ac210f → SEAL 0ebcf69b ## Next `/qor-document` (update SKILL.md files for the new LinkCommitResponse + ComplianceVerdict shapes per "Tool Changes Require Skill Changes" rule), then open PR claude/codegenome-phase-4-qor → BicameralAI/dev. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs(#61): /qor-document — CHANGELOG v0.13.0 + bicameral-sync SKILL.md update Phase 4 (#61) documentation pass per CLAUDE.md "Tool Changes Require Skill Changes" rule. The Phase 4 commits changed two MCP tool contracts that callers see directly: - LinkCommitResponse: + auto_resolved_count (new field, default 0) + pending_compliance_checks[].pre_classification (new optional hint) - ComplianceVerdict (input to resolve_compliance): + semantic_status (optional) + evidence_refs (optional) - ResolveComplianceAccepted: + semantic_status (echoes caller claim) ## skills/bicameral-sync/SKILL.md - Replaced the existing Phase 3 enhance_drift callout (continuity matcher only) with a Phase 3+4 callout covering BOTH passes: (1) continuity matcher — strips moved/renamed regions; (2) NEW cosmetic-vs-semantic classifier — strips cosmetic-only regions and reports auto_resolved_count. - Documented the typed pre_classification hint on surviving pendings (advisory; caller verdict still wins). - Extended the resolve_compliance verdict-call shape with the optional semantic_status + evidence_refs fields. ## CHANGELOG.md - Prepended v0.13.0 entry above v0.12.0. Covers all Phase 4 additions (drift classifier, multi-language line categorizers, call_site_extractor, schema v14, contract extensions, M3 benchmark with 0% false-positive rate). ## Verification - 163/163 codegenome + extract_call_sites + m3_benchmark regression still green (skill/CHANGELOG changes don't touch behavior). - Version markers consistent: CHANGELOG v0.13.0, SCHEMA_COMPATIBILITY[14] = "0.13.0". Files NOT touched (deliberately): - README.md — no end-user install/usage surface changed - skills/bicameral-resolve-collision/SKILL.md — collision skill, unaffected by Phase 4 - skills/bicameral-drift/SKILL.md — Phase 3 work didn't update it either; consistency favors a future doc sweep Next: open PR claude/codegenome-phase-4-qor → BicameralAI/dev. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: bump to v0.11.0 — CodeGenome Phase 1+2 adapter + identity records
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: bump to v0.12.0 — skill telemetry, extensible relay, reset wipe_mode
- Skill-level telemetry: replace per-tool timing with bicameral.skill_begin /
bicameral.skill_end bookend tools; record_skill_event replaces record_event
- Extensible relay: remove ALLOWED_TOOLS allowlist and strict EventPayload
interface; relay now validates only distinct_id + version + diagnostic numeric
invariant, all other fields pass through — future event types require no relay
redeploy; deployed to Cloudflare (v a6acec14)
- telemetry.py: add send_event() open primitive; record_skill_event is a thin
wrapper; setup_wizard consent UI updated to show new skill-level payload shape
- reset wipe_mode: ledger (default, DB rows only, server stays live) vs full
(deletes entire .bicameral/ dir including config + event files, reinits schema)
- ledger/adapter.py: wipe_all_rows now close-and-delete instead of row-by-row
traversal — simpler, faster, correct for embedded surrealkv
- events/team_adapter.py: add explicit wipe_all_rows that resets event watermark
- contracts.py: ResetResponse gains wipe_mode + bicameral_dir fields
- skills/bicameral-reset/SKILL.md: updated with two-mode table and confirmation
phrasing; full mode requires showing bicameral_dir before confirm
- tests: new test_reset_full_wipe_deletes_bicameral_dir (5/5 pass)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: v0.12.1 — rationale, error_class, and bicameral.feedback telemetry
- bicameral.skill_begin now accepts `rationale` (why the skill triggered)
stored in _skill_sessions dict alongside t0 and forwarded at skill_end
- bicameral.skill_end now accepts `error_class` enum (symbol_not_found,
collision_unresolved, drift_mislabeled, low_confidence_verdict,
ledger_empty, grounding_failed, user_abort, other) replacing the
boolean-only errored signal
- New bicameral.feedback tool: call when stuck — records {trying_to,
attempted, stuck_on} as agent_feedback events mapping to desync catalog
- All 8 major skills updated with Telemetry bookend sections showing
the skill_begin/skill_end pattern with rationale + error_class examples
- telemetry.record_skill_event extended with error_class and rationale kwargs
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: delete stale bicameral-drift and bicameral-scan-branch skills
Both reference tools (bicameral.drift, bicameral.scan_branch) that no
longer exist in the server. Drift detection is handled by link_commit
+ auto-sync middleware + resolve_compliance.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: remove embedded worktree from index, ignore .claude/worktrees
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: pass --no-cache-dir to pip install in update handler
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: use pipx install --force for upgrades, fall back to pip
sys.executable -m pip fails on Homebrew Python (externally-managed-
environment). pipx is the standard install path and handles its own
venv correctly. pipx also doesn't support --no-cache-dir so that flag
is dropped from the pip fallback path.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: bicameral-mcp reset CLI — questionary wizard before wiping
Adds a `bicameral reset` subcommand that:
1. Prompts for wipe mode (ledger vs full) via questionary select
2. Shows a dry-run summary (cursor count, replay plan, bicameral_dir
for full mode with a ⚠️ warning)
3. Asks for explicit confirmation before calling handle_reset
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: bicameral-mcp config CLI — questionary wizard for config.yaml
Adds a `bicameral config` subcommand that:
1. Reads current config.yaml values as defaults
2. Prompts for mode, guided, telemetry via questionary selects
with the current value pre-selected
3. Writes updated config.yaml
4. Reinstalls skills and hooks so changes take effect immediately
Replaces the LLM-in-chat text menu in the bicameral-config skill.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: bicameral-config skill uses AskUserQuestion for all three settings
Replaces text-based [1/2] menus with a single AskUserQuestion call
covering mode, guided, and telemetry — all in one interactive prompt
within the Claude session.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: bump to v0.12.2 — CLI wizards + telemetry quality loop
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: add Dependabot for weekly pip dependency updates
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: v0.13.0 — gate telemetry schema, AskUserQuestion ground truth, liberal ingest filter
Telemetry schema (all skills):
- g{N}_ prefix convention across all gate diagnostic fields (G2/G3/G6 in ingest,
G9/G10/G11 in preflight, G11 in capture-corrections)
- skill_begin/skill_end guarded: only emit if BICAMERAL_TELEMETRY is enabled
- g{N}_user_overrode as universal ground-truth signal at every interactive gate
AskUserQuestion ground truth wiring:
- G2 Step 1.5 (ingest): AskUserQuestion for borderline Gate1/Gate2 drops,
batched in groups of 4; guarded by guided_mode
- G10 Step 5.5 (preflight): AskUserQuestion after surfaced block to dismiss
irrelevant findings; guarded by guided_mode; populates g10_user_overrode
- G11 Steps 6-7 (capture-corrections): replaces freeform Y/n with
AskUserQuestion, batched in groups of 4 for all correction counts
Liberal ingest filter:
- Removed aspirational, hedged conditional, and parked/deferred from hard-exclude;
these now flow through level classification and gate filters as speculative proposals
- Ratification is the team's judgment layer, not the extraction filter
- Updated Example 1: now extracts 3 speculative proposals instead of 0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: bump RECOMMENDED_VERSION to 0.13.0
Was left at 0.12.2 — update handler checks this file to detect available upgrades.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: surface pending decisions when sync no-ops on same commit
After ingest, `bicameral sync` could return 'already_synced' with zero
compliance checks when HEAD hadn't moved — leaving newly-ingested decisions
stuck at `pending` indefinitely.
Two-part fix:
1. `ledger/adapter.py` `ingest_commit`: in the `already_synced` early-return,
query `get_pending_decisions_with_regions()` and include any pending
decisions as `pending_compliance_checks` in the response.
2. `handlers/link_commit.py` `invalidate_sync_cache` + new
`sync_middleware.invalidate_process_cache()`: after any mutation (ingest,
update, reset), clear the process-level `_LAST_SYNCED_SHA` so that
`ensure_ledger_synced` runs a fresh sync on the next tool call even when
HEAD hasn't moved.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: bump to v0.13.1 — fix sync no-op on same commit
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: ratify prompt fires last, after all decisions printed (ingest step 7)
Previously "after ingest" was ambiguous — LLM could fire the ratify
AskUserQuestion immediately after bicameral.ingest returned, before the
report (step 4), brief (step 5), and gap-judge (step 6) were shown.
Now step 7 is explicit:
- Must be the last user-facing output of the ingest flow
- Multi-segment ingests ratify once at the end of the roll-up, not per segment
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: bump to v0.13.2 — ratify prompt ordering fix
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Preflight eval: §C cost/latency baseline (#90)
* test(eval): cost-baseline harness — synthetic ledger + token counter + runner
Stage 1-4 of issue #88 — measurement infrastructure for the catalog's
§C cost/latency baseline. Three deterministic metrics:
- C1: bicameral.history() payload tokens at N=10/100/1000 features
- C2: bicameral.preflight() response size (tokens + bytes)
- C3: handler latency p50/p95 on bicameral.preflight
C2/C3 use mocked ledger queries so the metric isolates handler-logic +
serialization cost from SurrealDB I/O variance. The optimization
directions in #58 (semantic prefilter, lazy/two-pass history, etc.) all
mutate handler logic, not the ledger.
Asymmetric regression rule: only flags increases, never improvements.
±20% relative threshold with absolute noise floors (10 tokens / 0.5ms)
to absorb timer jitter at sub-ms latency scale. Re-record via
BICAMERAL_EVAL_RECORD_BASELINE=1 when the new value is intentional.
The synthetic ledger generator is deterministic given (n_features,
decisions_per_feature, seed); GENERATOR_VERSION tag in baseline rows
forces re-record when the corpus changes. Token counter uses tiktoken
cl100k_base — pinned in pyproject [test] extras to prevent silent
count drift.
13 unit tests cover the regression rule + baseline IO directly. 5
runner tests produce the metrics on every PR.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* test(eval): commit initial Darwin cost baselines
Five rows recorded on darwin/arm64 with Python 3.12.13 + tiktoken 0.12.0:
- C1[N=10]: 7,574 tokens
- C1[N=100]: 79,025 tokens
- C1[N=1000]: 795,982 tokens
- C2: 1,519 tokens / 6,610 bytes (representative shape — 10 region
matches + 2 collision-pending + 2 context-pending)
- C3: p50 ≈ 0.08ms, p95 ≈ 0.10ms (representative shape)
The N=1000 number lands the §C concern empirically: ~800K tokens for a
single bicameral.history() call fills 80% of Sonnet 4.6's 1M context
before the skill reasons about anything. This is exactly the
optimization target named in #58 (semantic prefilter, lazy/two-pass
history, file-path → feature-group hint).
Linux baselines NOT included — the runner skips cleanly per-platform
when no row exists. Record locally on a Linux host with
BICAMERAL_EVAL_RECORD_BASELINE=1 and commit the new rows in a follow-up.
Token counts are platform-independent (deterministic via tiktoken) but
still tagged recorded_on=darwin for symmetry with C3 latency.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* ci+docs(preflight-eval): wire phase 3 cost/latency step + tick §C
Adds the phase 3 step to the advisory preflight-eval workflow.
continue-on-error: true so a phase 3 failure never blocks merge — same
contract as phase 1 + 2. The existing test-summary glob (test-results/
*.xml) picks up the new junit file automatically.
Catalog implementation queue ticked: C1/C2/C3 all marked baselined,
with a pointer to tests/eval/cost_baseline.jsonl. Regression rule
description updated to reflect the asymmetric + noise-floor design.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: enforce exact diagnostic field names in ingest + preflight telemetry
LLMs were substituting natural-language names (grounded, ungrounded,
channels_read, compliance_resolved) for the required g2_*/g3_*/g6_* prefixed
names. The events landed in PostHog but fell through every dashboard panel
because the queries filter on the prefixed names.
Added explicit ⚠ warning with inline NOT comments (e.g. "# NOT 'grounded'")
to both bicameral-ingest and bicameral-preflight skill_end sections.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: enforce skill diagnostic schema via Pydantic in skill_end handler
Previously diagnostic was an open object — LLMs sent improvised field names
(grounded, ungrounded, channels_read) that fell through every dashboard filter.
Now:
- IngestDiagnostic and PreflightDiagnostic Pydantic models in contracts.py
with extra="forbid" enumerate all valid g2_*/g3_*/g6_*/g9_*/g10_*/g11_* fields
- skill_end handler validates against the per-skill model; unknown fields are
stripped from the PostHog payload and echoed back in diagnostic_warning so
the LLM immediately sees what it sent wrong on the same call
- inputSchema description enumerates all valid field names so the LLM has
them visible at call time
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: bump to v0.13.3 — Pydantic diagnostic enforcement + telemetry field fix
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: jinhongkuan <kuanjh123@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Silong Tan <silongtan@outlook.com>
Logs the architectural suggestion received during PR #93 review as a v1.0.0-candidate RFC. Decision blocked on multi-machine/team-sync roadmap call; if not on the roadmap, META_LEDGER + the existing CHANGEFEED on compliance_check already provide ~80% of the cited benefits. Issue #97 carries the full analysis, the proposed v0.14.0 wedge (extend CHANGEFEED to all mutation-bearing tables), and the open questions for the maintainer. This entry is the single-line BACKLOG index reference. Refs #97
- server.py: strip "SurrealDB" jargon from bicameral.reset description - test_bind.py: mock get_git_content for idempotency + status transition tests - test_desync_scenarios.py: refresh ctx.authoritative_sha post-commit - test_sync_middleware.py: patch module-level _LAST_SYNCED_SHA, not ctx state - test_v0420_history.py: update assertions to plural `fulfillments` list contract All 5 fixes are orthogonal (zero file overlap). 9 previously-failing tests now pass. No product behavior change. Closes #70 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…#93) * docs: development cycle reference + demos/guides/training scaffolding - docs/DEV_CYCLE.md — full lifecycle reference: issue → branch → PR → dev → release PR → main → tag → GitHub Release. Covers labels/milestones, PR body conventions, CI gates, squash-vs-merge policy, CHANGELOG flip pattern, documentation matrix per release, hotfix path, roles, and four demo storyboards for headline functionality. - docs/demos/README.md — demo authoring rules, template, four-row index matching DEV_CYCLE.md §12. - docs/guides/README.md — user-guide template + authoring rules. Pairs with DEV_CYCLE.md §8 documentation matrix. - docs/training/README.md — training-doc template for concept-level teaching (vs. tool reference). Distinguishes when a topic warrants training over a guide. Intent: codify the dev cycle so contributors and the release manager have a single source of truth, and pre-stage the index/template files so future features have somewhere to land their docs without re-deciding structure. Per DEV_CYCLE.md change protocol, amendments to the doc require the docs:dev-cycle label. * docs(dev-cycle): expand §4.5 CI gates with two-tier model Replaces the three-line CI gates section with a tiered breakdown: - Tier 1 (PR → dev) — fast gates blocking every PR: lint, type check, regression on Linux + Windows matrix, schema persistence, module import smoke, secret scan, pip check, merged-to-dev label automation. - Tier 2 (release PR → main) — release-quality gates inheriting Tier 1 plus full regression w/ slow markers, blocking preflight eval, schema migration validation, performance regression, security scan, CHANGELOG enforcement, version monotonicity, MCP protocol live smoke, issue auto-close + label-strip on merge. Includes a "why the split" rationale table and a three-phase implementation roadmap. Calls out which gates exist today vs which are aspirational, so reviewers don't assume the doc reflects current enforcement. §6.4 pre-release checklist annotated with the corresponding Tier 2 CI gates so the manual checklist and automated gates stay in sync as Phase 2 lands. Phase 1 priority items (per recent triage): - Windows test job — three of the last four bugs (#67, #68, #74) were Windows-only. - merged-to-dev auto-labeller — addresses the manual labeling problem surfaced in PR-A audit. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs(dev-cycle): §4.1.1 flow:* PR labels (feature/release/hotfix) Adds mandatory PR labels mirroring the target branch: - flow:feature (green) — standard PR to dev (default flow) - flow:release (blue) — periodic dev→main release PR - flow:hotfix (red) — emergency direct-to-main fix bypassing dev The base branch alone can't disambiguate `--base main` PRs, which can be either release or hotfix — different processes, different review tiers. The labels make the lane visible in `gh pr list` output and give a clean audit trail of historical hotfixes via `--label flow:hotfix --state closed`. Distinct from the existing `merged-to-dev` label (post-merge status) — flow:* labels are pre-merge intent. Labels created in BicameralAI/bicameral-mcp; retroactively applied to the open PR backlog (#85, #86, #93, #95, #99). PR #96 left unlabeled until @silongtan confirms the targeting question raised in that PR. PR #99 (this dev-cycle policy's companion) will land the matching Dependabot auto-label so future bumps arrive pre-tagged. * docs(dev-cycle): §2.1.1/§2.1.2 issue priority + state labels Adds two new label axes for issues: - Priority (mandatory after triage, one of P0/P1/P2/P3) — replaces the [P0]/[P1]/[P2] title-prefix convention some issues currently use. Calibration heuristics included; P0 explicitly rare. - State (optional, orthogonal to priority): triage / blocked / parked. triage is the default on file; parked is maintainer-only. State labels never replace priority — both axes coexist. Also moves the existing risk:L* axis off issues and onto PRs in the doc text — risk is a property of the change being designed, knowable only after planning, so it doesn't make sense as an issue label. PR review tiers in §4.4 already consume risk:L*; this change just makes the doc internally consistent. Labels created in BicameralAI/bicameral-mcp: - P0 (red), P1 (orange), P2 (yellow), P3 (grey) - parked (purple), blocked (dark grey), triage (light grey) Retroactive application: - #39 → P0 (had [P0] prefix) - #42 → P1 (had [P1] prefix) - #44 → P2 (had [P2] prefix) - #87, #89, #50, #23 → triage (unlabeled or speculative) Bulk priority triage of remaining issues left to maintainers. * docs(dev-cycle): parked supersedes priority (not orthogonal) Maintainer correction to §2.1.2: parked + Px is redundant. parked already encodes "not on the priority axis"; adding a priority label on top clutters the label list without adding signal. Issue #50 demonstrates the cleanup (P3 removed; parked stands alone). triage and blocked still coexist with priority as before — those are genuinely orthogonal states. Only parked is the exception. --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…v0.14.0) (#95) Privacy-first observability foundation. Authored via QorLogic SDLC (plan → audit → implement → substantiate). Builds on the dev branch post-merge with main's v0.13.x telemetry refactor. Closes #39 — Local-only counter sink at ~/.bicameral/counters.jsonl. Records only {tool_name, delta=1, ts}; mode 0o600 on POSIX; thread-safe; no network egress. Always-on alongside the network relay (counters are local introspection, distinct from outbound telemetry). Kill-switch: BICAMERAL_LOCAL_COUNTERS=0. New module local_counters.py with increment(tool_name) and read_counters() API. Closes #42 — bicameral.usage_summary MCP tool. Aggregates ingest/bind call counts (from #39's counters file) plus decision counts by status (from ledger) and cosmetic-drift percentage (from compliance_check verdicts) over a configurable window. Returns counts and floats only — no event rows, no user content. New module handlers/usage_summary.py. Adjacent to #39: consent.py — owns ~/.bicameral/consent.json, telemetry_allowed() predicate (single source of truth gating the relay), and notify_if_first_run() non-blocking notice. Marker has acknowledged_via field distinguishing "wizard" from "first_boot_notice" for future audit. POLICY_VERSION constant re-fires the notice for everyone if the telemetry policy ever changes. telemetry.send_event: - now uses consent.telemetry_allowed() as the single gating predicate - always increments the local counter before the relay path (wrapped in try/except — failure cannot affect the caller or the relay) setup_wizard._select_telemetry: - writes the consent marker on every answer (wizard, non-interactive default, both) - raises OSError on marker write failure — guarantees a "no" answer cannot silently leave telemetry on server.serve_stdio: - calls consent.notify_if_first_run() once at startup, never blocking CI: BICAMERAL_SKIP_CONSENT_NOTICE=1 added to test job env. tests/conftest.py: session-scoped autouse fixture reroutes ~/.bicameral/ to a per-session tmp dir; stdlib only. Tests: 23 pass, 1 skipped (POSIX-only file mode). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…-to-dev labeller (#102) * chore: add ruff + mypy lint stack + Windows test matrix + secret scan + merged-to-dev labeller (CI Phase 1) Implements Phase 1 of docs/DEV_CYCLE.md §4.5.4 per plan-ci-phase-1.md (rev 2, PASS verdict). Five atomic changes land together so the new CI gates light up on the next PR run: 1. pyproject.toml — declare ruff>=0.5.0 + mypy>=1.10.0 in [project.optional-dependencies].test, plus minimal [tool.ruff] / [tool.mypy] config. Lint scope: E/F/W/I/B/UP. Tests/scripts get per-file-ignores so day-one CI is green. Mypy is lenient (ignore_missing_imports, warn_return_any=false) with per-module ignore_errors=true overrides for the 16 noisiest modules — full type coverage chipped away in follow-up PRs. 2. .github/workflows/test-mcp-regression.yml — convert single-runner job to ubuntu-latest + windows-latest matrix with fail-fast: false and a job-level timeout-minutes: 20. The pull_request: trigger is left untouched (no types: added). BICAMERAL_SKIP_CONSENT_NOTICE='1' added to job env so non-interactive CI doesn't stall on the consent prompt. Windows is expected green given the fcntl + subprocess fixes already on dev (#80, #84). 3. .github/workflows/lint-and-typecheck.yml (new) — ruff check + ruff format --check + mypy on pull_request to main/dev. 4. .github/workflows/secret-scan.yml (new) — gitleaks/gitleaks-action@v2 with fetch-depth: 0 so the diff range is fully scannable. Triggers on pull_request to main/dev. 5. .github/workflows/label-merged-to-dev.yml (new — separate workflow, NOT a job in test-mcp-regression.yml). Triggered only on pull_request: branches: [dev], types: [closed] with if: github.event.pull_request.merged == true. Minimal permissions (issues: write, pull-requests: read). actions/github-script@v7 parses GitHub close-keywords from the PR body and applies the merged-to-dev label to each referenced issue. This is the audit V1 fix — keeping the labeller in its own file means test-mcp-regression.yml's existing trigger semantics cannot regress. Branch-protection rules to require these checks remain a manual GitHub UI step (admin-only) — see PR description. Lint hygiene fixes shipped alongside the workflow plumbing: - handlers/update.py: add `from pathlib import Path` (was used unimported). - ledger/status.py: drop unused line_count local. - ledger/queries.py: noqa-annotate the intentional non-top-level import. - 213 ruff --fix auto-corrections across the tree (sorted imports, dropped unused imports, datetime.UTC, PEP 585/604 annotation modernisation, etc.). Refs: docs/DEV_CYCLE.md §4.5.4 Phase 1. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: ruff format pass Apply ruff format across the tree to satisfy `ruff format --check .` in the new lint-and-typecheck workflow. No semantic changes — pure whitespace, line wrapping, and trailing-comma normalisation. Split from the previous CI Phase 1 commit so the workflow plumbing diff stays readable. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(ci): trufflehog instead of gitleaks (org license) + Linux-only eval steps Two CI failures on PR #102's first run: 1. Gitleaks fails with "missing license. Go grab one at gitleaks.io" — gitleaks-action@v2 requires a paid license for organizations as of the 2023 breaking update. Switch to trufflesecurity/trufflehog@main, which is free for all repos and has equivalent detection coverage. Use --only-verified to keep noise low. 2. Windows matrix job fails on the Generate E2E report step ("No artifacts found at .../test-results/e2e — run Phase 3 tests first"). The medusa corpus and M1 adversarial eval are Linux-only by design (bash shell, ANTHROPIC_API_KEY-gated, large corpus clone). Gate the corpus clone, the M1 secret probe, and the M1 adversarial step plus the Generate E2E report step on matrix.os == 'ubuntu-latest'. The Windows job continues to run the full pytest suite (the actual regression value) plus uploads its own artifacts via the matrix-suffixed name. Artifact name now includes matrix.os so both runs upload distinct results without overwriting each other. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: ruff format inbound from #100 merge The fixed test_desync_scenarios.py from PR #100 wasn't ruff-formatted (ruff didn't exist in CI when #100 ran). After merging dev forward, apply the format pass. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: preflight telemetry capture loop pieces 1–4 (v0.15.0, #65) Adds opt-in local-only preflight telemetry — captures preflight events and downstream tool engagement for failure-mode triage. Default off; hashed by default; raw via separate env var. New module: preflight_telemetry.py - Salt at ~/.bicameral/salt (mode 0o600), per-install, race-safe init - hash_topic, hash_file_paths (order-independent set hash) - new_preflight_id (UUIDv4) - write_preflight_event, write_engagement (JSONL append, mode 0o600) - _maybe_rotate (50MB / 30 days, keeps last 5) preflight_id plumb-through: - PreflightResponse, LinkCommitResponse, BindResponse, RatifyResponse gain optional preflight_id: str | None field - update.py dict returns also gain preflight_id key (11 sites) - server.py inputSchema for affected tools accepts optional preflight_id Pieces 5 (SessionEnd reconciliation skill) and 6 (triage CLI) are deferred to follow-up plans #65-pt2 and #65-pt3. Closes #65 (pieces 1–4) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: ruff check --fix + format pass The Tier 1 lint gate from #102 caught 32 stylistic findings on this branch (22 in the new test files plus 10 in pre-existing files): - timezone.utc → datetime.UTC alias (UP017 from PEP 695) - import sorting (I001) - 12 files needing ruff format All auto-fixable. No behavior change. 28 telemetry tests still pass. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(types): correct return type on local_counters._open_for_append_secure mypy flagged the os.PathLike return type as incompatible with the actual BufferedWriter from os.fdopen. Use typing.IO[bytes] which is what the with-block consumes anyway. Pure type fix; no behavior change. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…dback) (#96) * chore: bump to v0.11.0 — CodeGenome Phase 1+2 adapter + identity records Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.12.0 — skill telemetry, extensible relay, reset wipe_mode - Skill-level telemetry: replace per-tool timing with bicameral.skill_begin / bicameral.skill_end bookend tools; record_skill_event replaces record_event - Extensible relay: remove ALLOWED_TOOLS allowlist and strict EventPayload interface; relay now validates only distinct_id + version + diagnostic numeric invariant, all other fields pass through — future event types require no relay redeploy; deployed to Cloudflare (v a6acec14) - telemetry.py: add send_event() open primitive; record_skill_event is a thin wrapper; setup_wizard consent UI updated to show new skill-level payload shape - reset wipe_mode: ledger (default, DB rows only, server stays live) vs full (deletes entire .bicameral/ dir including config + event files, reinits schema) - ledger/adapter.py: wipe_all_rows now close-and-delete instead of row-by-row traversal — simpler, faster, correct for embedded surrealkv - events/team_adapter.py: add explicit wipe_all_rows that resets event watermark - contracts.py: ResetResponse gains wipe_mode + bicameral_dir fields - skills/bicameral-reset/SKILL.md: updated with two-mode table and confirmation phrasing; full mode requires showing bicameral_dir before confirm - tests: new test_reset_full_wipe_deletes_bicameral_dir (5/5 pass) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: v0.12.1 — rationale, error_class, and bicameral.feedback telemetry - bicameral.skill_begin now accepts `rationale` (why the skill triggered) stored in _skill_sessions dict alongside t0 and forwarded at skill_end - bicameral.skill_end now accepts `error_class` enum (symbol_not_found, collision_unresolved, drift_mislabeled, low_confidence_verdict, ledger_empty, grounding_failed, user_abort, other) replacing the boolean-only errored signal - New bicameral.feedback tool: call when stuck — records {trying_to, attempted, stuck_on} as agent_feedback events mapping to desync catalog - All 8 major skills updated with Telemetry bookend sections showing the skill_begin/skill_end pattern with rationale + error_class examples - telemetry.record_skill_event extended with error_class and rationale kwargs Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: delete stale bicameral-drift and bicameral-scan-branch skills Both reference tools (bicameral.drift, bicameral.scan_branch) that no longer exist in the server. Drift detection is handled by link_commit + auto-sync middleware + resolve_compliance. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: remove embedded worktree from index, ignore .claude/worktrees Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: pass --no-cache-dir to pip install in update handler Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: use pipx install --force for upgrades, fall back to pip sys.executable -m pip fails on Homebrew Python (externally-managed- environment). pipx is the standard install path and handles its own venv correctly. pipx also doesn't support --no-cache-dir so that flag is dropped from the pip fallback path. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: bicameral-mcp reset CLI — questionary wizard before wiping Adds a `bicameral reset` subcommand that: 1. Prompts for wipe mode (ledger vs full) via questionary select 2. Shows a dry-run summary (cursor count, replay plan, bicameral_dir for full mode with a⚠️ warning) 3. Asks for explicit confirmation before calling handle_reset Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: bicameral-mcp config CLI — questionary wizard for config.yaml Adds a `bicameral config` subcommand that: 1. Reads current config.yaml values as defaults 2. Prompts for mode, guided, telemetry via questionary selects with the current value pre-selected 3. Writes updated config.yaml 4. Reinstalls skills and hooks so changes take effect immediately Replaces the LLM-in-chat text menu in the bicameral-config skill. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: bicameral-config skill uses AskUserQuestion for all three settings Replaces text-based [1/2] menus with a single AskUserQuestion call covering mode, guided, and telemetry — all in one interactive prompt within the Claude session. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.12.2 — CLI wizards + telemetry quality loop Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: add Dependabot for weekly pip dependency updates Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: v0.13.0 — gate telemetry schema, AskUserQuestion ground truth, liberal ingest filter Telemetry schema (all skills): - g{N}_ prefix convention across all gate diagnostic fields (G2/G3/G6 in ingest, G9/G10/G11 in preflight, G11 in capture-corrections) - skill_begin/skill_end guarded: only emit if BICAMERAL_TELEMETRY is enabled - g{N}_user_overrode as universal ground-truth signal at every interactive gate AskUserQuestion ground truth wiring: - G2 Step 1.5 (ingest): AskUserQuestion for borderline Gate1/Gate2 drops, batched in groups of 4; guarded by guided_mode - G10 Step 5.5 (preflight): AskUserQuestion after surfaced block to dismiss irrelevant findings; guarded by guided_mode; populates g10_user_overrode - G11 Steps 6-7 (capture-corrections): replaces freeform Y/n with AskUserQuestion, batched in groups of 4 for all correction counts Liberal ingest filter: - Removed aspirational, hedged conditional, and parked/deferred from hard-exclude; these now flow through level classification and gate filters as speculative proposals - Ratification is the team's judgment layer, not the extraction filter - Updated Example 1: now extracts 3 speculative proposals instead of 0 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: bump RECOMMENDED_VERSION to 0.13.0 Was left at 0.12.2 — update handler checks this file to detect available upgrades. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: surface pending decisions when sync no-ops on same commit After ingest, `bicameral sync` could return 'already_synced' with zero compliance checks when HEAD hadn't moved — leaving newly-ingested decisions stuck at `pending` indefinitely. Two-part fix: 1. `ledger/adapter.py` `ingest_commit`: in the `already_synced` early-return, query `get_pending_decisions_with_regions()` and include any pending decisions as `pending_compliance_checks` in the response. 2. `handlers/link_commit.py` `invalidate_sync_cache` + new `sync_middleware.invalidate_process_cache()`: after any mutation (ingest, update, reset), clear the process-level `_LAST_SYNCED_SHA` so that `ensure_ledger_synced` runs a fresh sync on the next tool call even when HEAD hasn't moved. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.13.1 — fix sync no-op on same commit Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: ratify prompt fires last, after all decisions printed (ingest step 7) Previously "after ingest" was ambiguous — LLM could fire the ratify AskUserQuestion immediately after bicameral.ingest returned, before the report (step 4), brief (step 5), and gap-judge (step 6) were shown. Now step 7 is explicit: - Must be the last user-facing output of the ingest flow - Multi-segment ingests ratify once at the end of the roll-up, not per segment Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.13.2 — ratify prompt ordering fix Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Preflight eval: §C cost/latency baseline (#90) * test(eval): cost-baseline harness — synthetic ledger + token counter + runner Stage 1-4 of issue #88 — measurement infrastructure for the catalog's §C cost/latency baseline. Three deterministic metrics: - C1: bicameral.history() payload tokens at N=10/100/1000 features - C2: bicameral.preflight() response size (tokens + bytes) - C3: handler latency p50/p95 on bicameral.preflight C2/C3 use mocked ledger queries so the metric isolates handler-logic + serialization cost from SurrealDB I/O variance. The optimization directions in #58 (semantic prefilter, lazy/two-pass history, etc.) all mutate handler logic, not the ledger. Asymmetric regression rule: only flags increases, never improvements. ±20% relative threshold with absolute noise floors (10 tokens / 0.5ms) to absorb timer jitter at sub-ms latency scale. Re-record via BICAMERAL_EVAL_RECORD_BASELINE=1 when the new value is intentional. The synthetic ledger generator is deterministic given (n_features, decisions_per_feature, seed); GENERATOR_VERSION tag in baseline rows forces re-record when the corpus changes. Token counter uses tiktoken cl100k_base — pinned in pyproject [test] extras to prevent silent count drift. 13 unit tests cover the regression rule + baseline IO directly. 5 runner tests produce the metrics on every PR. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(eval): commit initial Darwin cost baselines Five rows recorded on darwin/arm64 with Python 3.12.13 + tiktoken 0.12.0: - C1[N=10]: 7,574 tokens - C1[N=100]: 79,025 tokens - C1[N=1000]: 795,982 tokens - C2: 1,519 tokens / 6,610 bytes (representative shape — 10 region matches + 2 collision-pending + 2 context-pending) - C3: p50 ≈ 0.08ms, p95 ≈ 0.10ms (representative shape) The N=1000 number lands the §C concern empirically: ~800K tokens for a single bicameral.history() call fills 80% of Sonnet 4.6's 1M context before the skill reasons about anything. This is exactly the optimization target named in #58 (semantic prefilter, lazy/two-pass history, file-path → feature-group hint). Linux baselines NOT included — the runner skips cleanly per-platform when no row exists. Record locally on a Linux host with BICAMERAL_EVAL_RECORD_BASELINE=1 and commit the new rows in a follow-up. Token counts are platform-independent (deterministic via tiktoken) but still tagged recorded_on=darwin for symmetry with C3 latency. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * ci+docs(preflight-eval): wire phase 3 cost/latency step + tick §C Adds the phase 3 step to the advisory preflight-eval workflow. continue-on-error: true so a phase 3 failure never blocks merge — same contract as phase 1 + 2. The existing test-summary glob (test-results/ *.xml) picks up the new junit file automatically. Catalog implementation queue ticked: C1/C2/C3 all marked baselined, with a pointer to tests/eval/cost_baseline.jsonl. Regression rule description updated to reflect the asymmetric + noise-floor design. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix: enforce exact diagnostic field names in ingest + preflight telemetry LLMs were substituting natural-language names (grounded, ungrounded, channels_read, compliance_resolved) for the required g2_*/g3_*/g6_* prefixed names. The events landed in PostHog but fell through every dashboard panel because the queries filter on the prefixed names. Added explicit ⚠ warning with inline NOT comments (e.g. "# NOT 'grounded'") to both bicameral-ingest and bicameral-preflight skill_end sections. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: enforce skill diagnostic schema via Pydantic in skill_end handler Previously diagnostic was an open object — LLMs sent improvised field names (grounded, ungrounded, channels_read) that fell through every dashboard filter. Now: - IngestDiagnostic and PreflightDiagnostic Pydantic models in contracts.py with extra="forbid" enumerate all valid g2_*/g3_*/g6_*/g9_*/g10_*/g11_* fields - skill_end handler validates against the per-skill model; unknown fields are stripped from the PostHog payload and echoed back in diagnostic_warning so the LLM immediately sees what it sent wrong on the same call - inputSchema description enumerates all valid field names so the LLM has them visible at call time Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.13.3 — Pydantic diagnostic enforcement + telemetry field fix Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat: VHS demo — 5 core use case flows (ingest, preflight, sync, history) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: remove demo directory Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: bump to v0.13.4 — branch-scoped ephemeral bind + stale hash repair B9: handlers/bind.py used authoritative_sha for all file checks and hash computation regardless of branch. On feature branches this caused (1) spurious rejection of branch-local files and (2) phantom "drifted" status after resolve_compliance because bind stored H_main while link_commit computed H_branch. Fix: detect _is_ephemeral_commit and use head_sha as effective_ref. B10: ingest_commit's already_synced early-return left stale "reflected" status when returning to main after feature-branch bind work. The repair path in the already_synced branch now uses get_regions_with_ephemeral_verdicts (indexed lookup via idx_cc_ephemeral) to find only suspect regions, updates their hashes to the authoritative content, and re-projects decision status. Two-pass approach deduplicates project_decision_status calls per decision. Tests: E18-E22 added (22/22 ephemeral/authoritative scenarios pass). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: set RECOMMENDED_VERSION to 0.13.4 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(eval): real-ledger seeder for cost/latency baselines Stage 6 of issue #88 path-3 rework. Adds `tests/eval/_seed_ledger.py` — translates a synthetic HistoryResponse-shaped dict (from the existing generator) into real SurrealDB writes via `adapter.ingest_payload`, the production ingestion path. Uses the synthetic-repo fallback (repo path not on disk → empty content_hash) so seeding works without git fixtures. Status overrides post-ingest via `update_decision_status` to match the synthetic generator's intended distribution (70% reflected / 20% drifted / 10% other) — bypasses derive_status since there's no real file content. Three new unit tests: - N=10 seeds 30 decisions, ledger contains exactly that count - N=100 status distribution roughly matches synthetic generator's - Empty input returns 0 Stage 7 will use this seeder to run C2 + C3 against real seeded ledgers instead of mocked queries. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(eval): C2/C3 against real seeded ledger, parametrized by N=10/100/1000 Stage 7 of issue #88 path-3 rework. Addresses Jin's "test not very useful if it doesnt capture updates" feedback by switching C2 and C3 from mocked ledger queries to a real `memory://` SurrealDB seeded with N synthetic features. The handler now executes the real SurrealDB query path on every measurement — same code the developer hits in production. Real-I/O baselines (Darwin local, Python 3.12 + SurrealDB 2.x): | N | C2 tokens / bytes | C3 p50 / p95 | |---|---|---| | 10 | 566 / 2,303 | 2.5ms / 3.0ms | | 100 | 571 / 2,303 | 14.8ms / 15.9ms | | 1000 | 575 / 2,303 | 138.8ms / 141.7ms | C3 latency at N=1000 is ~1700× the previous mocked baseline (138ms vs 0.08ms). That's the user-experience-relevant signal — and exactly the regression target an optimization PR (#58 directions: semantic prefilter, lazy/two-pass history) should reduce. Platform tagging: - C1: `recorded_on=any` (token counts are deterministic across OSes) - C2: `recorded_on=any` (response shape is deterministic given same seed; noise floor absorbs sync_metrics timing variance) - C3: per-platform `darwin` (real I/O latency varies meaningfully by host; Linux baselines must be recorded separately on a Linux runner) Schema additions: - `_baseline_io.ANY_PLATFORM` sentinel — a row with this value matches every host. `find_baseline` now treats `recorded_on=any` rows as matches regardless of caller's platform. - `_record_or_assert(platform_agnostic=True)` records and matches with the sentinel. Implementation notes: - C2/C3 each spin up a fresh adapter per parametrized run — no cross-test state, no singleton reset needed. - file_paths chosen from synthetic decisions via `_pick_grounded_paths` to guarantee region-anchored matches (response fires non-trivially). - Seeding cost: ~62s at N=1000 (3000 ingest_payload mappings through the real ingest path + status updates). Total cost-eval runtime: ~2m30s. Acceptable for advisory CI; non-blocking. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs(catalog): refresh §C wording for real-ledger C2/C3 Stage 8 of issue #88 path-3 rework. Updates the catalog's §C entries to reflect that C2 + C3 now measure against a real seeded ledger, not mocked queries. Adds the real-ledger seeder to the implementation queue ticked items and clarifies the per-platform vs platform-agnostic split. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: jinhongkuan <kuanjh123@gmail.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: WulfForge <krknapp@gmail.com>
Fast-follow lint hygiene PR after #96 merged with 8 ruff failures still on its HEAD. Dev's ruff+mypy gate (#102) was red on 5f773e6; this PR clears it. Re-applies the same fixes (4 files in tests/eval/ + tests/test_ephemeral_authoritative.py) directly against current dev. Zero behavioural changes. Refs #96, #102.
…+ filter (#76 part 1) (#106) Adds the read-side UI for decision_level. Pre-existing L1/L2/L3 badges (shipped in #71 / CodeGenome Phase 1+2) are preserved; this PR adds the missing amber 'Unclassified' state for NULL decision_level rows plus a top-of-table filter dropdown. - .lvl-unclassified CSS class (amber rgb(249,115,22)) - Rendering branch at line 548 handles null decision_level - <select id='lvl-filter'> with 5 options - Each decision row carries data-level='L1'|'L2'|'L3'|'unclassified' - Client-side JS applyLevelFilter(value) toggles row visibility No server changes. The companion inline-edit POST endpoint (#76 part 2) ships in a follow-up PR after the sibling #77 classifier PR lands ledger.queries.update_decision_level. Refs #76 (part 1 of 2) Generated with Claude Code (https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…#107) Heuristic classifier (classify/heuristic.py) ports L1/L2/L3 rules from skills/bicameral-ingest/SKILL.md to a deterministic Python function. Regression-tested against the 7 fixtures at tests/fixtures/ingest_level_classification/. Two MCP primitives expose classification to agents: - bicameral.list_unclassified_decisions (read, returns proposals) - bicameral.set_decision_level (write, single row, idempotent) Both write paths (CLI --apply, MCP tool, future dashboard endpoint) use the same ledger.queries.update_decision_level helper. One write path, three callers. Defensive _DECISION_ID_RE regex validates record-id shape before SurrealQL interpolation (audit S1, defense-in-depth). bicameral-mcp-classify CLI provides offline batch backfill with --apply for write mode (dry-run is default). Closes #77 The companion #76 dashboard work (amber unclassified badge, filter dropdown, inline edit POST endpoint) ships in a sibling PR. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds target-branch: dev to .github/dependabot.yml so weekly dependency bumps go through the dev integration branch per DEV_CYCLE.md §4.1. Also auto-applies flow:feature, dependencies, python labels per §4.1.1. Refs PR #93.
…+ poster (#113) Issue #49: advisory GitHub Action posts a sticky Markdown drift-state comment on every PR open/synchronize. Path C maintainer call: graceful skip when no bicameral/decisions.yaml manifest in repo (manifest spec deferred). Stdlib-only urllib client; no new dependencies. Pure-function renderer in cli/drift_report.py; sticky-comment poster in .github/scripts/post_drift_comment.py. Closes #49
…-P3) (#116) Adds the governance/ package implementing the deterministic escalation policy engine plus its contracts foundation and the consolidated finding wrapper. Engine is pure, decomposed, and non-blocking by design (allow_blocking: Literal[False] locks the type so pydantic raises on True). Phase 1 (#109): GovernanceMetadata model on decisions; v14 -> v15 migration adds optional governance flexible-object field; derive_governance_metadata maps L1/L2/L3 to (decision_class, risk_class, escalation_class) defaults; ingest/history thread the metadata through. Phase 2 (#110): GovernanceFinding + GovernancePolicyResult contracts; finding_factories from_compliance_verdict/from_drift_entry/ from_preflight_drift_candidate; consolidate() collapses findings per (decision_id, region_id) pair using _SEMANTIC_SEVERITY ordering. Phase 3 (#108): engine.evaluate() orchestrates four pure helpers; config.py parses .bicameral/governance.yml with safe_load and falls back to transparency_first defaults on malformed YAML; new MCP tool bicameral.evaluate_governance for read-only ad-hoc evaluation; handlers/preflight.py attaches governance_finding to PreflightResponse. Phase 4 (HITL bypass flow for #112) and Phase 5 (docs for #111) ship separately. Phase 3 passes bypass_recency_seconds=None everywhere because Phase 4 hasn't wired the lookup yet. Closes #109, #110 Refs #108 (Phase 4 ships separately for #112) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires the deterministic engine into preflight's human-in-the-loop
surface. Five trigger conditions (proposed, ai_surfaced, needs_context,
collision_pending, context_pending) yield HITLPrompts with a mandatory
bypass option. Bypass writes a preflight_prompt_bypassed event via
preflight_telemetry.py and is idempotent within a 1-hour recency
window (V4 spam-bypass guard).
The governance engine reads recent_bypass_seconds at preflight call
time (handlers/preflight.py) and passes it as a scalar to evaluate().
The engine's _apply_bypass_downgrade drops one tier when a bypass
occurred within the window. Engine purity preserved -- IO at the
call site, not in evaluate().
recent_bypass_seconds is F3-bounded: scans at most the last 1000
JSONL lines and breaks early on age > window.
bicameral.record_bypass MCP tool exposes the bypass write to skills;
returns {recorded, deduped} so the skill can distinguish first
bypass from a within-window repeat.
Bypass does NOT mutate decision state. The unresolved signoff_state
persists for future preflight surfaces.
Closes #112
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Four phases: Phase 0 — plan-grounding lint (Check A, blocking); Phase 1 — PR-body refs lint (Check B, advisory); Phase 2 — CI integration; Phase 3 — DEV_CYCLE.md docs + CHANGELOG. Six open questions surfaced for audit: - Q1: CI-only for v1; pre-commit hook deferred (no .pre-commit-config infrastructure in repo yet). - Q2: dynamic discovery of registered packages via ls + __init__.py presence (no hardcoded list). - Q3: Check B advisory (warn-only, never blocks merge). - Q4: standardised keyword set: Closes/Fixes/Resolves + Refs + Related to + See. - Q5: scripts/ for dev-utility (Check A); .github/scripts/ for CI-only (Check B). Mirrors existing precedent. - Q6: Check A is fast pre-audit catch; doesn't replace audit's deeper grounding pass. Risk grade L1 (pure checker scripts + advisory CI workflow; no production code paths, no schema, no contracts). Branched off BicameralAI/dev tip 2e9a842 post-#117. SG-PLAN-GROUNDING-DRIFT mitigated: ran `ls -d */` and confirmed every package + workflow path before submission. The plan that builds the lint that prevents this very pattern. Self-test exit criterion #5: when the lint lands, this very plan file must lint clean (zero diagnostics on plan-114-grounding-lint.md).
New docs/semantic-drift-governance.md describes the now-shipped surface across Phases 1-4 of the governance plan: - GovernanceMetadata + L1/L2/L3 default mapping - GovernanceFinding consolidation - Deterministic engine with decomposed helpers - .bicameral/governance.yml config (allow_blocking: Literal[False] locked at the type level) - HITL bypass flow with V4 idempotent record_bypass and F3 bounded tail-read Two Mermaid diagrams cover the lifecycle and the inference-vs- determinism split. Cross-links to docs/preflight-failure-scenarios.md, README.md core concepts, docs/DEV_CYCLE.md §4.5, docs/decision-level.md. Closes #111 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…rom-env Audit found: - F-1 (BLOCKING, OWASP A03): pr-body-refs-lint.yml used `echo "$PR_BODY" > /tmp/pr-body.md` which lets Bash double-quote interpolation expand $(cmd) substitutions in user-controlled PR body text — arbitrary code execution in CI. - F-2: 6th test needed for the env-var read path. Remediation: - Phase 1 main() signature gains `--from-env <NAME>` mutually exclusive with `--body <file>`. Direct os.environ read; no shell interpreter in the path. - Phase 2 workflow drops the echo line: `run: python ...py --from-env PR_BODY`. - Phase 1 test count 5 → 6 (added test_main_reads_from_env_var verifying the security-critical invocation matches file-mode output). - Razor estimates bumped: lint_pr_body_refs.py 100 → 110 LOC, test_lint_pr_body_refs.py 90 → 100 LOC. - Inline security note in the workflow YAML section explaining why we don't use the echo pattern. The plan that builds the lint that prevents one class of carelessness (filesystem-grounding drift) had a different class of carelessness (shell injection) — the audit caught both classes. Re-audit pending.
GATE TRIBUNAL entry covering both audit iterations: - v1 (a5e6a05): VETO on F-1 OWASP A03 — `echo "$PR_BODY"` in workflow shell exposes command-substitution injection. - v2 (4ea06be): PASS — workflow command now passes PR_BODY via direct os.environ read in Python, eliminating the shell intermediate. Chain hash 850ec57f extends from #18 (#48 SEAL eacc6f89) on dev. Notable: the plan that builds the lint for one class of carelessness (filesystem-grounding drift) had a different class of carelessness (OWASP A03). Audit caught both; QOR defense-in-depth working as designed. Plan PASS at 4ea06be; chain to /qor-implement.
Plan for the three compliance-posture stance declarations: - #220 / MCP-01: MCP host UX dependency (OWASP LLM-07) - #225 / NIST-RMF-01 + AI-ACT-02: prohibited-uses declaration - #226 / SOC2-02: availability stance (operator-run-only) All three bundle naturally because they share docs/policies/ + a single README cross-reference section. Pure-doc surface fully disjoint from in-flight code PRs (#237, #238, #239) — safe as a parallel PR. Audit: round 1 PASS (L1, doc-only). Doctrine interpretation locked: for markdown policy artifacts, the unit IS the document content; read_text() + assert "<commitment>" in content is genuine unit invocation per qor/references/doctrine-test-functionality.md. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
… tests (#220 #225 #226) Three new policy documents declaring bicameral-mcp's compliance posture: - docs/policies/host-trust-model.md (closes #220 / MCP-01) — declares what's enforced server-side vs. what depends on host UX (tool-call visibility, denial path, stdio surfacing, mid-call intervention, destructive-action confirmation surface). Per-host operator checklist for Claude Code / Cursor / Codex / generic-host. Cross-reference to the #217 epic that adds an out-of-band confirmation primitive. - docs/policies/acceptable-use.md (closes #225 / NIST-RMF-01 + AI-ACT-02) — declares intended purpose (limited-risk decision-support for software engineering) and four prohibited-use categories: HR/legal/ medical/financial substitution, regulated-data ingestion (PHI/PAN/etc), multi-tenant deployment without auth shim, automated decisions without HITL. Cross-framework mapping table. - docs/sla.md (closes #226 / SOC2-02) — declares operator-run-only as the active commitment (no uptime/MTTR/support targets). Activation requirements section locks the future-hosted-tier upgrade path so a hosted offering cannot ship without the SLA section being filled in. README.md gets a "Compliance posture" section linking all three policy docs + the research brief. docs/research-brief-compliance-audit-2026-05-06.md gets gap-status pointers marking MCP-01, NIST-RMF-01, AI-ACT-02, SOC2-02 as closed by their respective policy docs (bidirectional cross-reference). 5 functional content-contract tests verify each load-bearing section and cross-link is present; per the test-functionality doctrine, these are genuine unit invocation against doc content (the unit IS the doc). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
docs(compliance): populate § 7 cross-link table — P1 individual issues + epic trackers (#205)
…d-sbom feat(supply-chain): cosign hooks-manifest signing + SBOM emission (#218 Phase 1)
…gex-refinement fix(preflight): refine render_source_attribution regex + flip default (#209)
…218 sub-task) Plan for SOC2-03: extend #237's cosign-keyless pipeline with one new step (sign-blob the release tag's commit SHA), ship a per-release evidence-collection helper (`release/evidence_collect.py`), and author the operator-readable workflow doc (`docs/RELEASE_EVIDENCE_PROCEDURE.md`). Audit: round 1 PASS (L1, mechanical extension of locked substrate). Three substrate observations folded into implementation: - Wait for #237 merge before implementing (NOW SATISFIED) - Add SOC2-03 closure pointer to research brief (matches Plan D pattern) - Update publish.yml strip step for new tag-commit artifacts Closes #218 sub-task SOC2-03 (3rd of 6 epic items, after LLM-11 + OWASP-01). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
`release/evidence_collect.py` — small CLI that runs gh CLI subprocess
calls to gather per-release evidence (merged PRs, CI runs, reviewer
attribution) and renders a markdown scaffold. Operators run the script
post-release via:
python -m release.evidence_collect \
--from-tag v0.13.7 --to-tag v0.13.8 \
--output dist/release-evidence-v0.13.8.md
Subprocess discipline (OWASP A03): every subprocess.run invocation
uses list-form argv with shell=False (the default). 6 functional tests
including a stub that captures cmd + kwargs to assert the contract.
Failure propagation (OWASP A04): subprocess.CalledProcessError raises
through `collect_evidence`; no silent empty-evidence fallback. Empty PR
list / empty CI list emit explicit "No PRs in window" notes — never
silent omission, which would be misleading evidence.
Razor: render_markdown originally 58 LOC, split into 3 section
helpers (_render_pr_section, _render_ci_section, _render_reviews_section)
each <20 LOC, with the orchestrator coming in at ~20 LOC.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extend the publish.yml build job with one new step: cosign sign-blob
the SHA the release tag points at. Output triple
(release-tag-commit.txt + .sig + .crt) attaches to the GitHub Release
alongside the existing artifacts (wheel, hooks-manifest, SBOM).
PyPI strip-step updated to enumerate the new tag-commit artifacts
(they sit at dist/ root, not under dist/share/, so the existing
dist/share strip wouldn't catch them and they'd incorrectly land on
PyPI alongside the wheel).
Operators verify the tag-commit signature via:
cosign verify-blob \
--certificate-identity-regexp "^https://github.com/BicameralAI/bicameral-mcp/" \
--certificate-oidc-issuer "https://token.actions.githubusercontent.com" \
--signature release-tag-commit.txt.sig \
--certificate release-tag-commit.txt.crt \
release-tag-commit.txt
Successful verification proves the workflow signed this exact commit
SHA at release-publish time — the SOC 2 CC8.1 change-control evidence.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…218 SOC2-03) `docs/RELEASE_EVIDENCE_PROCEDURE.md` — operator-readable per-release evidence workflow: - Pre-release checklist (PR review status, CI green, no force-pushes) - Release-tag creation steps (git tag -a, gh release create) - Post-release verification (workflow succeeded, expected artifacts attached) - Evidence-collection invocation (`python -m release.evidence_collect ...`) - Operator narrative section (rationale, exceptions, attestation statement) - Retention policy (>=7 years SOC 2 audit window; storage operator-chosen) - Verification commands for auditor-side independent verification (cosign verify-blob for tag-commit + hooks-manifest; cosign verify-attestation for SBOM) `docs/research-brief-compliance-audit-2026-05-06.md` SOC2-03 entry gets the closure pointer matching the bidirectional pattern Plan D established for MCP-01, NIST-RMF-01, AI-ACT-02, SOC2-02. Closes #218 sub-task SOC2-03. Three of six epic items closed (LLM-11 + OWASP-01 from #237; SOC2-03 from this PR). Three remain: OWASP-03 (lockfile), OWASP-05 (RECOMMENDED_VERSION URL signing), LLM-06/#214 (skills/MANIFEST.toml). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…evidence feat(release): SOC2-03 signed release tags + per-release evidence procedure (#218)
Per v0 Productization §2 (Notion: 📦 v0 Productization), team mode in v0
is a remote append-only event-log adapter consumed by pull-based CLI
sync — not a self-hosted server. The committed team-server code on dev
is the wrong shape (HTTP /events API + Slack/Notion OAuth + per-source
workers + Docker compose) and we have decided not to ship it.
Deletes:
- team_server/ (entire directory, 26 files: app.py, db.py, schema.py,
config.py, requirements.txt; api/, auth/, extraction/, sync/, workers/)
- events/team_server_bridge.py, events/team_server_consumer.py,
events/team_server_pull.py
- deploy/Dockerfile.team-server, deploy/team-server.docker-compose.yml
- tests/test_team_server_*.py (24 files)
- tests/test_materializer_team_server_pull.py
- plan-priority-c-team-server-{notion-v1,real-extractor-v1,slack-v0,
v0-release-blockers}.md
- docs/research-brief-priority-c-selective-ingest-2026-05-02.md
Repairs (surgical):
- server.py: remove team_consumer_task startup + shutdown blocks (was
imported from events.team_server_consumer; now gone with the rest).
- events/materializer.py: remove the team-server-specific
event_type='ingest' bridge in replay_new_events; the existing
event_type='ingest.completed' handler is unaffected.
Preserved (right shape for v0 productization §2):
- events/__init__.py, events/CLAUDE.md, events/models.py
- events/writer.py — local append-only file writer
- events/materializer.py — local ledger projection (now bridge-free)
- events/transcript_queue.py — SessionEnd hook queue (#156)
- events/team_adapter.py — dual-write adapter shape; will be renamed +
generalized in a follow-up issue when the Drive/S3 backend lands
Verification:
- grep -r 'from team_server|import team_server|events.team_server_' .
→ empty
- ast.parse on server.py + events/materializer.py → clean
- ruff check on modified files → All checks passed!
Closes follow-ups (will become moot when this lands):
- #160 (team-server materializer dispatch bug)
- #161 (channel_allowlist never populated)
- #196 (write decisions to team-server) — superseded by #242 follow-up
Refs #242
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…244) Per the v0 Productization decision (Notion: 📦 v0 Productization) and the canonical user-flow north-star (BicameralAI/bicameral#108), v0's product shape is "track decisions, surface drift" — not "track, classify by decision_class, route through escalation policy." The v1 Architecture Notion doc (🏗️ v1 Architecture) defines governance + decision_level as v1 Layer A. Reclassifying them as v0 would commit to a product-shape change inconsistent with v0 productization §4 (dashboard scope) and #108 (canonical user flows). This PR reverts the user-facing surface so v0.14.0's cherry-pick from dev can apply cleanly. The `governance/` module itself is preserved on dev as future v1 surface (decision deferred). Restoration is mechanical: `git revert <merge-sha-of-this-PR>` on a fresh branch off dev brings everything back as a single change. Deleted: - handlers/{record_bypass,set_decision_level,list_unclassified_decisions,evaluate_governance}.py - classify/ (entire — __init__.py, heuristic.py) - cli/{classify,branch_scan}.py - docs/decision-level.md - tests/test_{record_bypass,set_decision_level,list_unclassified_decisions,evaluate_governance,bulk_classify_cli,classify_heuristic,branch_scan_cli,preflight_bypass_tracking,preflight_hitl_prompts,bypass_event_persistence}*.py Edited (surgical): - contracts.py — drop `from governance.contracts import …`; remove `governance_finding` + `hitl_prompts` fields from PreflightResponse; remove EvaluateGovernanceResponse, RecordBypassResponse, ListUnclassifiedDecisionsResponse, SetDecisionLevelResponse, UnclassifiedProposal classes. Decision schema retains `decision_level: str | None = None` field for round-trip with any existing ledger data (Pydantic ignores extras; harmless when None). - handlers/preflight.py — drop governance imports, governance_finding build call, hitl_prompts build call, governance_finding/hitl_prompts args from PreflightResponse construction. Delete `_build_governance_finding`, `_hitl_options_for`, `_hitl_question_for`, `_prompt_from`, `_build_hitl_prompts` helper functions. File shrinks 853 → 571 lines (-282). Preserves: graph expansion (#64 / #173 — north-star Flow 2 Step 2), contradiction-judgment AskUserQuestion (#175 — north-star Flow 2 Step 7). - handlers/ingest.py — stop passing `decision_level` to CreatedDecision and stop filtering ungrounded decisions by decision_level. - server.py — drop tool registrations + dispatch cases for list_unclassified_decisions, set_decision_level, evaluate_governance, record_bypass. Drop `branch-scan` CLI subcommand. Drop deleted handler imports. EXPECTED_TOOL_NAMES count: 14 → 12. - setup_wizard.py — drop `preflight_bypass_tracking: enabled` from the generated `.bicameral/config.yaml`. - context.py — drop `_BYPASS_TRACKING_MODES`, `_DEFAULT_BYPASS_TRACKING_MODE`, `_read_preflight_bypass_tracking()`, `BicameralContext.preflight_bypass_tracking` field, and the `from_env()` wiring. - skills/bicameral-preflight/SKILL.md — remove §5.4 HITL clarification prompts section (60+ lines describing hitl_prompts, bypass options, bypass semantics, preflight_bypass_tracking config gate). Preserves the telemetry note + render_source_attribution paragraph by folding them into a renamed §5.4. - skills/bicameral-history/SKILL.md — drop the "treat as L1 if decision_level absent" rendering hint. - skills/bicameral-ingest/SKILL.md — drop `decision_level` from the documented `created_decisions` response shape. Preserved (governance/ module — defer to v1): - governance/{__init__.py,contracts.py,engine.py,config.py,finding_factories.py} Verification: - grep -r 'from handlers\.\(record_bypass|set_decision_level|list_unclassified_decisions|evaluate_governance\)' → empty - grep -r 'preflight_bypass_tracking' (excluding governance/) → empty - grep -r 'HITLPrompt|hitl_prompts' (excluding governance/) → empty - ast.parse on all modified files → clean - ruff check . → All checks passed - import smoke: `python3 -c "import server; import contracts; import context; import setup_wizard"` → OK Net diff: 28 files, +5 / -629 LOC. Refs #244 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
) The initial commit ab2d45b deleted the team_server/ + events/team_server_* files but left two surgical edits unstaged: - server.py: remove the team_consumer_task startup + shutdown blocks that imported from events.team_server_consumer (now deleted). - events/materializer.py: remove the team-server-specific event_type='ingest' bridge in replay_new_events that imported from events.team_server_bridge (now deleted). CI ruff caught it: server.py:1389 still imported from a deleted module. This commit applies those edits and finishes the surgery. Refs #242 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
CI ruff format flagged handlers/preflight.py after the deletion-heavy revert in the prior commit. Pure formatter pass — single trailing line dropped, no semantic changes. Refs #244
chore(team-server): remove self-hosted server runtime (per #242)
revert(v1): defer preflight HITL bypass + decision_level wiring (per #244)
First minor since v0.13.9 triage. Cut from dev after #245 (closes #242) and #246 (closes #244) landed the team-server scale-down + v1 HITL/ decision_level scale-down respectively. - pyproject.toml: 0.13.3 → 0.14.0 - RECOMMENDED_VERSION: 0.13.3 → 0.14.0 - CHANGELOG.md: new ## v0.14.0 release header at top of the prior Unreleased content, with a release note documenting which dev Unreleased entries no longer apply (the v1 features removed by #246) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…istories main and dev had diverged substantially since v0.13.x triage stream cherry-picked from dev rather than merging from it. Per #247 PR discussion, this merge uses --allow-unrelated-histories with manual conflict resolution to combine the two branches into a v0.14.0 release. Resolution policy: - All 80 add/add conflicts on shared files: take dev's version (HEAD). dev is the source of truth for v0.14.0; the v0.13.x triage cherry-picks on main are equivalent in dev's history (or moot post-#246). - CHANGELOG.md: take dev's version. The v0.13.7-9 entries on main are preserved by their respective release tags + git history; my v0.14.0 release notes already reference "first minor since v0.13.9 triage." Did not duplicate them inline. Cleanup caught during merge resolution: - pyproject.toml: removed `bicameral-mcp-classify = "cli.classify:main"` console-script entry. The cli.classify module was deleted by #244; the entry was a missed cleanup at that time. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Directionally agree that v0.14.0 should make One constraint: this should fail loud and leave a clear audit trail. Before merge, reconcile the v0.13.7-9 CHANGELOG entries into the v0.14.0 notes and explicitly call out that the release tree intentionally follows If GitHub cannot perform the squash cleanly because the PR is dirty, use an explicit local release reconciliation commit whose final tree matches the intended v0.14.0 state. Secure, transparent, auditable beats clever history surgery here. |
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Same divergent-histories pattern as the v0.14.0 PR BicameralAI#247 merge — took --allow-unrelated-histories with dev as source of truth for the four content conflicts: - .github/workflows/publish.yml: dev has the proper SBOM steps (with the new sbom_emit.py that installs the wheel into a temp venv). main has the if:false hotfix from BicameralAI#261/BicameralAI#262. Take dev — restoring SBOM gen for v0.14.1 is the whole point. - pyproject.toml: dev=0.14.1, main=0.14.0. Take dev. - RECOMMENDED_VERSION: dev=0.14.1, main=0.14.0. Take dev. - CHANGELOG.md: dev has v0.14.1 + v0.14.0 release sections (with the v0.13.7-9 entries on main not folded in). Take dev — release tags preserve the v0.13.x history. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
First minor release since v0.13.9 triage. Cut from `dev` after two scale-down PRs landed:
What ships: the v0-conformant subset of dev's accumulated work — privacy hardening, install hygiene, ingest LLM guardrails, release engineering (cosign + SBOM + SOC2 evidence), e2e test fixes, skill doc fixes, gap-judge brief envelope, setup wizard MCP-tool pre-approval.
Version
⚠ Merge note: divergent histories
`main` and `dev` have diverged substantially since v0.13.x triage triages cherry-picked from dev rather than merging from it. As of this PR:
A local `git merge --allow-unrelated-histories` produced add/add conflicts on multiple test files and many files needed line-level resolution (pyproject.toml, RECOMMENDED_VERSION, CHANGELOG.md, mypy overrides, etc.). The PR cannot auto-merge.
Resolution options:
Recommend option 1 (squash). The v0.13.7-9 entries in main's CHANGELOG can be hand-reconciled into the v0.14.0 release notes; dev's tip code is the new source of truth post-v0.14.0.
Closes
Test plan
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