Updates:
- conductor/tracks.md: entry #27 marked SHIPPED 2026-06-21; BLOCKER
removed for code_path_audit_20260607 (broadcast() TypeError fixed)
- state.toml: status=completed, current_phase=6, all 4 phases marked
completed with checkpoint SHAs, all verification booleans true
NOT shipped (per user instruction):
- The git mv to conductor/tracks/archive/ is the USER's responsibility
- Track directory stays at conductor/tracks/phase2_4_5_call_site_completion_20260621/
- tier2/any_type_componentization_20260621 branch NOT merged (reconnaissance framing)
The follow-up track now includes Phase 6e: Tier 2 produces the authoritative
Phase 3 cost analysis as part of the follow-up work. Tier 2 is in
src/ai_client.py doing Phase 6b/6d anyway; they have full context to produce
the refined cost hypothesis that Tier 1's draft at PHASE3_HYPOTHETICAL_PROMOTION.md
could not (Tier 1 worked without the 6b/6d ground-truth context).
Tier 1's draft STAYS as the hypothesis doc. Tier 2's PHASE3_TIER2_ANALYSIS.md
is the refined version (per-sender cost summary + hidden call sites table
+ recommendations for the future Phase 3 track + cross-reference to Tier 1
explicit).
Phase 6e tasks (5 total, ~2 commits):
- t6e_1: Profile the 6 senders (codepath catalog + hidden cross-refs)
- t6e_2: Qualitative cost estimation per sender
- t6e_3: Identify hot iteration sites needing 'with h.lock:' pattern
- t6e_4: Author PHASE3_TIER2_ANALYSIS.md
- t6e_5: Phase 6e checkpoint commit + git note
Total estimated commits: 16 -> 18 (still within Tier 2 1-4 hour budget).
Files updated:
- conductor/tracks/phase2_4_5_call_site_completion_20260621/spec.md (+50 lines)
- conductor/tracks/phase2_4_5_call_site_completion_20260621/plan.md (+146 lines)
- conductor/tracks/phase2_4_5_call_site_completion_20260621/metadata.json (+13 lines)
- conductor/tracks/phase2_4_5_call_site_completion_20260621/state.toml (+9 lines)
- conductor/tracks.md (track 27 entry expanded with Phase 6e details)
Phase 2 (openai_schemas) progress:
- t2_1-t2_5+t2_7-t2_8 (a96f946b): 19 tests pass; NormalizedResponse +
OpenAICompatibleRequest refactored to dataclasses
- t2_6 (deferred): _send_grok + _send_minimax + _send_llama in
src/ai_client.py still use legacy NormalizedResponse(text=..., tool_calls=[], usage_*_tokens=...)
kwargs. These will be updated in Phase 3 (provider_state) as part of
the ai_client refactor.
- t2_9: Phase 2 checkpoint (commit hash filled in this commit)
current_phase: 2 -> 3
phase_2.status: pending -> completed
Next: Phase 3 - provider_state (15 tasks; the largest phase).
Phase 0 of any_type_componentization_20260621. Adds the canonical
decision rule that future contributors can apply without re-deriving:
- TypeAlias conditions: open shape, self-describing, transient
- dataclass(frozen=True) conditions: known fields, multi-site access,
stable serialization, shared across modules
- The src/vendor_capabilities.py reference pattern (5 properties)
- Decision tree
- The 5 worked examples (89 sites promoted per the audit)
- Cross-references to audit scripts + input artifact + track
This is the canonical artifact for the 'when to dataclass' question;
subsequent phases refer to it via 'see styleguide 12' rather than
re-deriving the rule.
The spec.md was approved 2026-06-21 without a plan.md (the metadata.json
noted 'plan.md (to be authored by writing-plans skill after spec
approval)'). This plan mirrors the state.toml's per-task ledger and
specifies the TDD protocol, tier-3 delegation conventions, hard bans,
failcount contract, and per-phase verification commands.
Plan structure: 7 phases, 61 tasks, ~50 atomic commits per the spec.
Reads all 13 conductor/code_styleguides/*.md per the agent mandate.
Each child spec is lightweight (~100 lines): references the umbrella, gives video details, specifies the 7 deliverables (transcript.json, frames/, ocr.md, report.md 1000-10000 LOC, summary.md), and the 5-phase pipeline.
Children in execution order:
1. cs229_building_llms (Stanford CS229, Cluster E)
2. probability_logic (Cluster A)
3. entropy_epiplexity (Cluster A)
4. score_dynamics_giorgini (Cluster A)
5. platonic_intelligence_kumar (Cluster B)
6. free_lunches_levin (Cluster B)
7. generic_systems_fields (Cluster C)
8. brain_counterintuitive (Cluster C)
9. neural_dynamics_miller (Cluster C)
10. multiscale_hoffman (Cluster C)
11. cs336_architectures (Stanford CS336, Cluster E)
12. creikey_dl_cv (Cluster D)
Plus 1 synthesis track (video_analysis_synthesis_20260621) blocked_by all 12 children.
Replaces the v1 plan (10 phases, single-stage cross-check) with an 11-phase
plan that executes the v2 spec's git-history classifier + 3-stage cross-check
+ 30% quality gate. Plan Phase 2 = Spec Phase 2 part 1; renumbering shifts
from Plan Phase 4 onwards (per the spec-vs-plan mapping in the summary table).
11 phases, 28 tasks, 4 hard pause points (Plan Phase 6 quality gate, Plan
Phase 7 Tier 1 review, Plan Phase 10 user sign-off, plus the Plan Phase 6
ABORT fallback to manual review). TDD red+green cycles for Phases 2-4 (8
new tests for _classify_status + 4 for extract_summary + 3 for format_markdown
+ 5 for the quality gate).
Test runner: scripts/run_tests_batched.py (per Tier 2 sandbox rule #1).
Throw-away scripts: scripts/tier2/artifacts/chronology_20260619/ (rule #4).
Default branch: master (rule #2). Line endings: preserve existing (rule #3).
The first run shipped chronology.md with a status classifier that read stale
metadata.json.status, marking 167/216 rows with wrong status. This v2 spec
replaces FR1 (5-value status enum + per-row evidence + confidence), FR5
(git-history classifier with the 5-step algorithm from the handover), FR6
(3-stage cross-check), and adds FR7 (classifier quality gate at 30% low
confidence threshold with abort-to-manual-review fallback).
Substantive changes from v1:
- 7 FRs (was 6); FR7 is new
- 14 VCs (was 12); VC10-VC14 are new
- 10 Risks (was 9)
- 5-value status enum: Active / In Progress / Completed / Abandoned / Special
(was 6-value: Shipped/Superseded/etc.)
- Per-row evidence line format documented with worked example
- 'Needs Review' section as a 5th section in chronology.md
- Quality gate hard-codes the user's 'A only if classifier is good, else B'
fallback design from chat 2026-06-21
Out of scope: 24 v1 commits + conductor/chronology.md.broken-v1 remain as the
foundation; this is a continuation, not a re-do. state.toml still shows
current_phase=10 from v1's false completion; the Tier 2 implementing agent
will reset it in Phase 1.4 of the plan.
Round 4 added two more tasks:
- t9_9: replaced synthesized 8KB JSON with 71KB faithful
reconstruction from inventory docs (commit b3508f0b)
- t9_10: added ROUND 4 CORRECTION NOTICE to TRACK_COMPLETION
doc with full 3-round audit chain (commit 9e2b83bb)
t9_8 (the false 'campaign closed' checkpoint) is marked REVERTED.
Final verified state (real pytest + real audit output):
- 131/131 tests pass
- 0 legacy wrappers in src/
- 9 wrappers actually obliterated (4 commits in branch)
- Campaign 100% closed LEGITIMATELY for the first time
ed