conductor(spec+plan): add Phase 6e to follow-up - Tier 2 authoritative Phase 3 cost deduction

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)
This commit is contained in:
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@@ -63,7 +63,7 @@ Tracks that are unblocked and ready to start. Ordered by **dependency** (blocked
| 21 | A | [Conductor Chronology (chronology.md canonical index)](#track-conductor-chronology) | spec ✓, plan ✓, 10/10 phases implemented; Phase 10 (user sign-off) pending; end-of-track report at `docs/reports/TRACK_COMPLETION_chronology_20260619.md` | (none — independent; **NEW 2026-06-19**; canonical-track infrastructure; the `superpowers_review_20260619` track is `blocked_by` this one) |
| 22b | A (meta-tooling) | [Meta-Tooling Workflow Review — Past-Month LLM Behavior Analysis](#track-meta-tooling-workflow-review-past-month-llm-behavior-analysis) | spec ✓, plan ✓, metadata ✓, state ✓, **parked 2026-06-20** (current_phase=0); 11-phase plan; ≥4,000-LOC 4-part report; 13-15 atomic commits; Tier 1 anchor + 3 Tier 3 parallel sweeps | (none — independent; **NEW 2026-06-20**; sibling to nagent_review + fable_review + superpowers_review + intent_dsl_survey; produces workflow_improvements.md + implementation_sequencing.md as standalone inputs for a near-future "workflow improvements rebuild" track; research-only; no src/, tests/, AGENTS.md, conductor/*.md, .opencode/, or scripts/audit_*.py changes; **anti-sliming guard**: Phase 9 self-review + Phase 10 user review gate are literal hard gates per the chronology_20260619 handover) |
| 26 | A (research) | [Video Analysis Campaign (12 videos, 5 clusters, Pass 1 of 3)](#track-video-analysis-campaign-20260621) | spec ✓, plan ✓, **14 folders scaffolded (1 umbrella + 12 children + 1 synthesis); Pass 1 of 3 (information extraction); awaiting Phase 0 tooling prerequisites (yt-dlp, cv2, imagehash install in repo venv)**; 12 children in execution order: CS229 → math foundations → Platonic/geometric → biological → CS336 → applied capstone; per-video target: 1000-10000 LOC markdown deep-dive report | (none — independent; **NEW 2026-06-21**; multi-track research campaign; 12 videos across 5 clusters (E: Stanford >1hr; A: math foundations; B: Platonic AI; C: biological/cognitive; D: applied); multi-pass handoff to Pass 2 (de-obfuscation via user's math encoding — USER must rediscover notation before Pass 2 starts) + Pass 3 (projection to applied domain — USER must articulate "own caveats" before Pass 3 starts); **lossless preservation directive**: Pass 1 artifacts must NOT be over-summarized (data cascades to Pass 2/3); **2 E-cluster videos failed oEmbed 401** (yt-dlp may still work; verify in Phase 1); reusable tooling: 5 TDD scripts in `scripts/video_analysis/` (download_video, extract_transcript, extract_keyframes, ocr_frames, synthesize_report) |
| 27 | A | [Phase 2/4/5 Call-Site Completion (post any_type_componentization)](#track-phase2-4-5-call-site-completion-20260621) | spec ✓, plan pending; **Tier 1 decided SHINK scope** to Phase 6a + 6b + 6d (~16 commits, ~3 hours Tier 2); **BLOCKER for `code_path_audit_20260607`** (the broadcast() TypeError contaminates audit instrumentation); see `docs/handoffs/PROMPT_FOR_TIER_1.md` | any_type_componentization_20260621 (parent; shipped 2026-06-21 with 48/89 sites + 1 runtime bug) | (**NEW 2026-06-21**; bugfix + refactor + test-infrastructure; Phase 6a: fix `HookServer.broadcast()` callers in `src/app_controller.py` + `src/events.py` + `src/gui_2.py` (5-10 sites) — migrate to `WebSocketMessage` signature; Phase 6b: complete `_send_grok` + `_send_minimax` + `_send_llama` `OpenAICompatibleRequest` migration (3 sites); Phase 6d: update those 3 senders' `NormalizedResponse` to use `UsageStats` (3 sites); adds `tests/test_websocket_broadcast_regression.py` with "no-TypeError" assertion that the audit will reuse; **deferred**: Phase 3 (`provider_state.ProviderHistory` call-site migration in `ai_client.py` — 112 sites) → separate track post-audit; cross-phase coupling → separate track; `audit_tier2_leaks.py` sandbox-pollution fixes → infra track; pre-existing `test_gui2_custom_callback_hook_works` flake → separate investigation; **does NOT merge `tier2/any_type_componentization_20260621` branch** per Tier 2's reconnaissance framing; analysis input for Phase 3 cost estimation: `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md`) |
| 27 | A | [Phase 2/4/5 Call-Site Completion (post any_type_componentization)](#track-phase2-4-5-call-site-completion-20260621) | spec ✓, plan ✓, metadata ✓, state ✓; **Tier 1 decided SHINK scope** to Phase 6a + 6b + 6d + 6e (~18 commits, ~3 hours Tier 2); **BLOCKER for `code_path_audit_20260607`** (the broadcast() TypeError contaminates audit instrumentation); see `docs/handoffs/PROMPT_FOR_TIER_1.md` | any_type_componentization_20260621 (parent; shipped 2026-06-21 with 48/89 sites + 1 runtime bug) | (**NEW 2026-06-21**; bugfix + refactor + test-infrastructure + Tier 2 cost analysis; Phase 6a: fix `HookServer.broadcast()` callers in `src/app_controller.py` + `src/events.py` + `src/gui_2.py` (5-10 sites) — migrate to `WebSocketMessage` signature; Phase 6b: complete `_send_grok` + `_send_minimax` + `_send_llama` `OpenAICompatibleRequest` migration (3 sites); Phase 6d: update those 3 senders' `NormalizedResponse` to use `UsageStats` (3 sites); **Phase 6e: Tier 2 produces `docs/reports/PHASE3_TIER2_ANALYSIS.md` (authoritative Phase 3 cost hypothesis; supersedes Tier 1's draft at `PHASE3_HYPOTHETICAL_PROMOTION.md` which stays as the placeholder; profiles all 6 senders + discovers hidden cross-references + provides refined cost estimates + recommendations for the future Phase 3 track)**; adds `tests/test_websocket_broadcast_regression.py` with "no-TypeError" assertion that the audit will reuse; **deferred**: Phase 3 (`provider_state.ProviderHistory` call-site migration in `ai_client.py` — 112 sites) → separate track post-audit; cross-phase coupling → separate track; `audit_tier2_leaks.py` sandbox-pollution fixes → infra track; pre-existing `test_gui2_custom_callback_hook_works` flake → separate investigation; **does NOT merge `tier2/any_type_componentization_20260621` branch** per Tier 2's reconnaissance framing; **Tier 2 owns the Phase 3 cost analysis (Tier 1's draft at `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md` is the hypothesis; Tier 2's `PHASE3_TIER2_ANALYSIS.md` is the refined authoritative version)**) |
| 28 | A | [Any-Type Componentization (Promote dict[str, Any] to dataclass(frozen=True))](#track-any-type-componentization-promote-dictstr-any-to-dataclassfrozentrue) | spec ✓, plan ✓, metadata ✓, state ✓, **shipped 2026-06-21** with 48/89 fat-struct sites promoted (Phases 1, 2, 4, 5 complete); Phase 3 (`provider_state` call-site migration in `ai_client.py`) DEFERRED to a separate track; 1 runtime bug surfaced (`HookServer.broadcast()` callers in `app_controller.py` + `events.py`); not merged; reconnaissance for `code_path_audit_20260607`; tier2 branch at 24 commits | (none — independent; **NEW 2026-06-21**; refactor + ai-readability + type-safety; ships: 3 new modules (`src/mcp_tool_specs.py`, `src/openai_schemas.py`, `src/provider_state.py`); 2 new audit scripts (`scripts/audit_dataclass_coverage.py` + `--strict` mode); styleguide `conductor/code_styleguides/type_aliases.md` §12 "When to Promote TypeAlias to dataclass"; type-registry regenerated; 130+ tests pass; **input artifact**: `docs/reports/ANY_TYPE_AUDIT_20260621.md`; **handoff docs**: `docs/handoffs/PROMPT_FOR_TIER_1.md` + `HANDOFF_FOLLOWUP_TRACK_FROM_any_type_componentization.md` + `HANDOFF_CODE_PATH_AUDIT_FROM_any_type_componentization.md`) |
**Note on numbering:** the legacy file used `0a`, `0b`, `0c`... and `0d`, `0e`, `0f`, `0g` for tracks created 2026-06-06+. This is the **git-blame sort order**, not a logical execution order. The new structure re-orders by dependency.
@@ -24,10 +24,10 @@
},
"blocked_by": [],
"blocks": ["code_path_audit_20260607"],
"estimated_phases": 3,
"estimated_phases": 4,
"spec": "spec.md",
"plan": "plan.md",
"priority_order": "A (Phase 6a broadcast fix) > A (Phase 6b OpenAICompatibleRequest) > B (Phase 6d NormalizedResponse) > C (regression protocol)",
"priority_order": "A (Phase 6a broadcast fix) > A (Phase 6b OpenAICompatibleRequest) > B (Phase 6d NormalizedResponse) > A (Phase 6e Tier 2 cost deduction)",
"parent_track": {
"id": "any_type_componentization_20260621",
"spec": "conductor/tracks/any_type_componentization_20260621/spec.md",
@@ -53,9 +53,16 @@
"name": "Update NormalizedResponse construction",
"scope": "Same 3 senders: usage_input_tokens/etc -> usage=UsageStats(...)",
"estimated_commits": 4
},
"phase_6e": {
"name": "Phase 3 Hypothetical Cost Deduction (Tier 2 authoritative deliverable)",
"scope": "Tier 2 produces docs/reports/PHASE3_TIER2_ANALYSIS.md while doing 6b/6d work in src/ai_client.py; profiles all 6 senders + discovers hidden cross-references + provides refined cost estimates + recommendations for the future Phase 3 track. Supersedes Tier 1's draft at docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md (which stays as the hypothesis doc).",
"estimated_commits": 2,
"new_doc_file": "docs/reports/PHASE3_TIER2_ANALYSIS.md",
"rationale": "Tier 2 is in src/ai_client.py anyway doing the 6b/6d migration work; they have full context to produce the authoritative Phase 3 cost analysis. The future Phase 3 track + the code_path_audit both need this data."
}
},
"total_estimated_commits": 16,
"total_estimated_commits": 18,
"deferred_work": {
"phase_3_provider_state": {
"deferred_to": "separate track post code_path_audit_20260607",
@@ -417,9 +417,151 @@ git notes add -m "Phase 6d checkpoint: 3 senders use UsageStats; all 11 tiers pa
---
## Verify + Archive
## Phase 6e: Phase 3 Hypothetical Cost Deduction (Tier 2 authoritative deliverable)
### Task V.1: Run all audits
Focus: While doing Phase 6b/6d work in `src/ai_client.py`, Tier 2 is reading and modifying the 3 senders anyway. They have the context to produce the authoritative Phase 3 cost analysis (deferred from `any_type_componentization_20260621`). This phase is the **Tier 2 deliverable** that supersedes Tier 1's hypothesis at `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md`.
**Tier 1's hypothesis** stays as the placeholder; Tier 2's `PHASE3_TIER2_ANALYSIS.md` is the refined version with in-context, post-Phase-6b/6d-grounded estimates.
### Task 6e.1: Profile the 6 senders (during Phase 6b/6d work)
**No new code; pure analysis.** While doing Tasks 6b.3-6b.5 (migrating `_send_grok` / `_send_minimax` / `_send_llama`) and Tasks 6d.2-6d.4 (updating their `NormalizedResponse`), Tier 2 reads the surrounding code and documents:
For each of the 6 senders, capture in working notes:
- All `_anthropic_history` / `_anthropic_history_lock` references (categorized: append, len/iteration, lock-acquire, with-lock-block, global-decl, helper-call)
- Helper function call sites (`_repair_<provider>_history`, `_trim_<provider>_history`, `_strip_cache_controls`, `_add_history_cache_breakpoint`)
- **Hidden call sites** Tier 2 discovers that Tier 1's grep missed (e.g., `_repair_anthropic_history` is called from `_send_anthropic` AND from `cleanup()` — that's a hidden cross-reference Tier 1's grep didn't see)
For the 3 senders NOT touched by 6b/6d (`_send_anthropic`, `_send_deepseek`, `_send_qwen`):
- Same profiling
- Tier 2 reads these while doing the 6b/6d work for context (they share helper patterns)
### Task 6e.2: Qualitative cost estimation per sender
For each of the 6 senders, for each codepath category:
| Category | Current (dict globals) | Proposed (ProviderHistory dataclass) | Per-call delta |
|---|---|---|---|
| `_<provider>_history.append(m)` | dict.append (~100ns) | dataclass method + lock acquire (~300ns) | **+200ns per call** |
| `len(_<provider>_history)` | direct attribute (~50ns) | `.messages` attribute (~100ns) | **+50ns per call** |
| `for m in _<provider>_history:` | direct iteration | `h.get_all()` (list copy) OR `with h.lock:` | **+5-10μs per call** (if `get_all()`) |
| `with _<provider>_history_lock:` | direct lock | `with h.lock:` | **~0** (same lock) |
| `_global _<provider>_history` (in cleanup) | N/A (declaration) | N/A (removed) | **N/A** |
For each sender, sum the per-turn overhead:
- `_send_anthropic` (25 sites; per-turn): estimate total overhead per LLM turn
- `_send_deepseek` (20 sites; per-turn): estimate
- ... etc for all 6
### Task 6e.3: Identify the hot iteration sites that need `with h.lock:` pattern
**Critical:** the `_strip_cache_controls(_anthropic_history)` and `_estimate_prompt_tokens(...)` callsites iterate the list per LLM turn. If the migration uses `h.get_all()`, they pay a list-copy cost (~5-10μs per call).
Document each iteration site with:
- File:line
- Call frequency per LLM turn
- Recommended pattern: `with h.lock: msg_list = h.messages` vs `h.get_all()`
- Justification
### Task 6e.4: Author `docs/reports/PHASE3_TIER2_ANALYSIS.md`
**Files:**
- Create: `docs/reports/PHASE3_TIER2_ANALYSIS.md`
Structure (Tier 2 produces this from the analysis in 6e.1-6e.3):
```markdown
# Phase 3 Hypothetical Cost Analysis (Tier 2 authoritative version)
**Author:** Tier 2 Tech Lead (autonomous sandbox)
**Date:** 2026-06-21
**Context:** Produced during `phase2_4_5_call_site_completion_20260621` Phase 6e (after Phase 6b/6d work in `src/ai_client.py`).
**Supersedes:** Tier 1's hypothesis at `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md` (kept as the hypothesis doc; this is the refined version).
---
## 1. Methodology
Tier 2 profiled the 6 senders in `src/ai_client.py` (`_send_anthropic`, `_send_deepseek`, `_send_minimax`, `_send_grok`, `_send_qwen`, `_send_llama`) while doing the Phase 6b/6d migration work. This analysis is grounded in actual code reading + Phase 6b/6d context.
## 2. Per-Sender Codepath Catalog
### 2.1 `_send_anthropic` (25 sites)
[Fill in from 6e.1 working notes]
- Direct sites: 22 `_anthropic_history` refs; 2 `_anthropic_history_lock` refs; 1 `global` decl
- Helper sites: `_strip_cache_controls`, `_repair_anthropic_history`, `_add_history_cache_breakpoint`, `_trim_anthropic_history`
- Hidden cross-references (Tier 2 found): [list any]
### 2.2-2.6 [other senders; same structure]
## 3. Qualitative Cost Estimation
### 3.1 Per-call cost categories
[Fill in from 6e.2 table]
### 3.2 Per-sender per-turn overhead
[Fill in from 6e.2 sum]
### 3.3 Hot iteration sites (the `with h.lock:` pattern)
[Fill in from 6e.3]
## 4. Comparison vs Tier 1's Hypothesis
| Sender | Tier 1 hypothesis (μs/turn) | Tier 2 refined (μs/turn) | Delta |
|---|---|---|---|
| anthropic | +8-15 | [Tier 2 actual] | [reason] |
| deepseek | +3-7 | [Tier 2 actual] | [reason] |
| minimax | +3-7 | [Tier 2 actual] | [reason] |
| grok | +2-5 | [Tier 2 actual] | [reason] |
| qwen | +2-5 | [Tier 2 actual] | [reason] |
| llama | +4-8 | [Tier 2 actual] | [reason] |
| **Total** | **~+1.1-2.4ms/session** | [Tier 2 actual] | [reason] |
## 5. Recommendations for Future Phase 3 Track
1. **Anthropic first** (highest ROI; per-turn; cache controls)
2. **Use `with h.lock: msg_list = h.messages` pattern for hot iteration sites** (avoids `get_all()` list-copy cost)
3. **Simpler providers (qwen, grok) can use `get_all()`** since iteration is less frequent
4. **Lock semantics unchanged**`ProviderHistory.lock` is per-instance; no cross-provider contention
5. **Hidden cross-references** discovered during this analysis [list] should be the first sites to migrate
## 6. Open Questions
[Fill in any unresolved questions; defer to the audit for runtime quantification]
## 7. See Also
- `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md` — Tier 1's hypothesis (the "what we thought before Tier 2 looked")
- `conductor/tracks/phase2_4_5_call_site_completion_20260621/spec.md` — Phase 6e directives
- `conductor/tracks/code_path_audit_20260607/spec.md` — the audit that quantifies these estimates
- `docs/handoffs/PROMPT_FOR_TIER_1.md` — Tier 1 brief
```
### Task 6e.5: Phase 6e checkpoint
- [ ] **Step 1: Commit the analysis**
```bash
git add docs/reports/PHASE3_TIER2_ANALYSIS.md
git commit -m "docs(analysis): PHASE3_TIER2_ANALYSIS - authoritative Phase 3 cost hypothesis
Tier 2 produced this analysis during phase2_4_5_call_site_completion_20260621
Phase 6e. Supersedes Tier 1's draft at PHASE3_HYPOTHETICAL_PROMOTION.md (kept
as the hypothesis doc; this is the refined version with in-context data
from Phase 6b/6d work in src/ai_client.py).
Covers all 6 senders (anthropic, deepseek, minimax, grok, qwen, llama)
with per-site cost estimates + hidden cross-references + recommendations
for the future Phase 3 track. The audit (code_path_audit_20260607)
quantifies these estimates after merge."
git notes add -m "Phase 6e checkpoint: Tier 2 authoritative Phase 3 cost analysis committed" HEAD
```
Update `state.toml` to mark phase_6e status="completed" + checkpointsha.
---
## Verify + Archive
```bash
uv run python scripts/audit_weak_types.py --strict
@@ -135,6 +135,56 @@ The audit's per-action profiling assumes no TypeError spam on the GUI thread. Th
2. Add import: `from src.openai_schemas import ChatMessage, NormalizedResponse, OpenAICompatibleRequest, UsageStats`
3. Run provider tests + integration tests
### Phase 6e: Phase 3 Hypothetical Cost Deduction (Tier 2 deliverable)
**Goal:** Produce the authoritative Phase 3 hypothetical cost analysis as a Tier 2 deliverable. The deferred Phase 3 (`provider_state.ProviderHistory` call-site migration in `src/ai_client.py`) needs runtime cost data BEFORE the migration; Tier 2 produces this analysis as part of the follow-up track because they're already in `src/ai_client.py` doing the Phase 6b/6d work and have full context.
**Tier 1's draft** at `docs/reports/PHASE3_HYPOTHETICAL_PROMOTION.md` stays as the hypothesis document (Tier 1's qualitative estimates). **Tier 2's authoritative analysis** is a separate document at `docs/reports/PHASE3_TIER2_ANALYSIS.md` that supersedes the hypothesis with in-context, post-Phase-6b/6d-grounded estimates.
**Files:**
- Create: `docs/reports/PHASE3_TIER2_ANALYSIS.md`
- Modify: `conductor/tracks/phase2_4_5_call_site_completion_20260621/spec.md` (this section)
**Approach:**
1. **For each of the 6 senders** (Tier 2 reads while doing 6b/6d work; cost analysis happens during 6b/6d + a final consolidation commit at end of 6e):
- `_send_anthropic` (25 sites; Hot per-turn; uses cache-control helpers)
- `_send_deepseek` (20 sites; Hot per-turn; has `_repair_deepseek_history` helper)
- `_send_minimax` (21 sites; Hot per-turn; has `_repair_minimax_history` + `_trim_minimax_history` helpers)
- `_send_grok` (13 sites; Hot per-turn; **being touched in 6b/6d**)
- `_send_qwen` (12 sites; Hot per-turn; simpler pattern)
- `_send_llama` (21 sites; Hot per-turn; highest lock count; **being touched in 6b/6d**)
2. **For each sender, document:**
- Direct `_anthropic_history` / `_anthropic_history_lock` sites (categorized as: append, len/iteration, lock-acquire, with-lock-block, global-decl, helper-call)
- Helper function call sites (`_repair_<provider>_history`, `_trim_<provider>_history`, `_strip_cache_controls`, `_add_history_cache_breakpoint`)
- Hidden call sites discovered while doing the 6b/6d work (e.g., `_repair_anthropic_history` is called from `_send_anthropic` AND from `cleanup()` — that's a hidden cross-reference)
3. **For each category, qualitatively estimate:**
- Per-call cost delta: `dict append` (current) vs `dataclass.append` (proposed)
- Lock acquire cost: `threading.Lock` (current) vs `ProviderHistory.lock` (proposed) — should be ~identical but document any surprises
- `get_all()` list-copy cost: bounded by history length (~10-50 messages); estimate ~5μs per copy
- **Critical:** the `_strip_cache_controls(_anthropic_history)` and `_estimate_prompt_tokens(...)` callsites iterate the list; if `get_all()` is used, they copy the list per call. Recommendation: use `with h.lock: msg_list = h.messages` pattern instead of `h.get_all()` for hot iteration sites
4. **Author `docs/reports/PHASE3_TIER2_ANALYSIS.md`:**
- Per-sender cost summary table (compare Tier 1's hypothesis vs Tier 2's refined estimate)
- Hidden call sites table (call sites Tier 2 discovered that Tier 1's grep missed)
- Recommendations for the future Phase 3 track:
- Use `with h.lock:` blocks for hot iteration sites
- The Anthropic cache-control helpers are the highest-value target (~25 sites, per-turn)
- The simpler providers (qwen, grok) can use `get_all()` since iteration is less frequent
- Cross-references Tier 1's hypothesis explicitly: "Tier 1's draft is the hypothesis; this is the refined version after Phase 6b/6d context."
- Roll-up: total estimated cost per session (~50 turns) for the Phase 3 migration; comparison vs Tier 1's hypothesis
**Why this matters:**
- The future Phase 3 track needs this data to scope its phases correctly (e.g., "do the Anthropic helpers first because they're hot; defer the simpler providers to Phase 2")
- The audit will quantify these estimates after the merge; this is the pre-audit hypothesis refinement
- Tier 2 is the right entity to produce this because they have the actual code context after Phase 6b/6d
**Verification:**
- `docs/reports/PHASE3_TIER2_ANALYSIS.md` committed
- All 6 senders profiled
- Total estimated cost per session documented
- Hidden call sites table documented
- Recommendations for future Phase 3 track documented
- Cross-reference to Tier 1's hypothesis explicit
## 5. Configuration
No new dependencies. No new config files.
@@ -10,7 +10,6 @@ last_updated = "2026-06-21"
[blocked_by]
# No blockers; this track unblocks the audit
[]
[blocks]
code_path_audit_20260607 = "blocked_until_merge"
@@ -19,6 +18,7 @@ code_path_audit_20260607 = "blocked_until_merge"
phase_6a = { status = "pending", checkpointsha = "", name = "Fix HookServer.broadcast() callers" }
phase_6b = { status = "pending", checkpointsha = "", name = "Complete OpenAICompatibleRequest migration" }
phase_6d = { status = "pending", checkpointsha = "", name = "Update NormalizedResponse construction" }
phase_6e = { status = "pending", checkpointsha = "", name = "Phase 3 Hypothetical Cost Deduction (Tier 2 authoritative deliverable)" }
[tasks]
# Phase 6a: Fix HookServer.broadcast() callers
@@ -51,12 +51,19 @@ tv_2 = { status = "pending", commit_sha = "", description = "Run generate_type_r
tv_3 = { status = "pending", commit_sha = "", description = "Write docs/reports/TRACK_COMPLETION_phase2_4_5_call_site_completion_20260621.md" }
tv_4 = { status = "pending", commit_sha = "", description = "git mv to conductor/tracks/archive/" }
tv_5 = { status = "pending", commit_sha = "", description = "Update conductor/tracks.md" }
# Phase 6e: Phase 3 Hypothetical Cost Deduction
t6e_1 = { status = "pending", commit_sha = "", description = "Profile the 6 senders (during 6b/6d work): codepath catalog + helper call sites + hidden cross-references Tier 1's grep missed" }
t6e_2 = { status = "pending", commit_sha = "", description = "Qualitative cost estimation per sender (per-call categories: append / len / iteration / lock-acquire / with-lock / global-decl / helper-call)" }
t6e_3 = { status = "pending", commit_sha = "", description = "Identify hot iteration sites that need 'with h.lock: msg_list = h.messages' pattern vs h.get_all() (avoids list-copy cost)" }
t6e_4 = { status = "pending", commit_sha = "", description = "Author docs/reports/PHASE3_TIER2_ANALYSIS.md (per-sender cost summary + hidden call sites table + recommendations + comparison vs Tier 1 hypothesis + cross-reference to Tier 1 draft)" }
t6e_5 = { status = "pending", commit_sha = "", description = "Phase 6e checkpoint commit + git note" }
[verification]
phase_6a_broadcast_fixed = false
phase_6a_regression_test_passes = false
phase_6b_openai_compat_migrated = false
phase_6d_normalized_response_migrated = false
phase_6e_tier2_analysis_committed = false
full_11_tier_regression_passes = false
audit_weak_types_strict_passes = false
audit_dataclass_coverage_strict_passes = false