Per user 'a bunch of docs just committed had redundant content across
files. Can we do a reduction of that and instead map references to
other files?'
This commit reduces content duplication across 9 files. The
canonical sources are kept as detailed references; the other
files now point to them.
Reductions (table replaced with 'see canonical' reference):
1. data_oriented_design.md §9: the 4-dim memory table
(canonical: conductor/code_styleguides/agent_memory_dimensions.md §0)
2. guide_agent_memory_dimensions.md §0: the 4-dim memory table
(canonical: conductor/code_styleguides/agent_memory_dimensions.md §0)
3. guide_caching_strategy.md §1: the 12-layer model
(canonical: conductor/code_styleguides/cache_friendly_context.md §1)
4. guide_ai_client.md 'Cache strategy' section: the 12-layer model recap
(canonical: conductor/code_styleguides/cache_friendly_context.md §1)
5. guide_knowledge_curation.md §1: the 5 category file details
(canonical: conductor/code_styleguides/knowledge_artifacts.md §1)
6. product-guidelines.md 'Memory Dimensions' section: the 4-dim table
(canonical: conductor/code_styleguides/agent_memory_dimensions.md §0)
7. guide_mma.md '4 memory dimensions' section: the MMA scope table
(canonical: conductor/code_styleguides/agent_memory_dimensions.md §0)
8. docs/AGENTS.md §0 + §5-§8: 4-dim table + caching/knowledge/RAG/
feature flag tables (canonical: the per-topic styleguides in
conductor/code_styleguides/)
9. AGENTS.md 'Code Styleguides' section: the 6-styleguide list
(canonical: docs/AGENTS.md §2)
The principle: each piece of content has ONE source of truth; other
places point to it. The data-oriented way. Files retain their
narrative flow and the 'what this is' intros, but the detailed
tables are now in their canonical home.
Net effect: -2100 bytes across 9 files (without losing any
information - the canonical sources are unchanged). The
'cross-references' sections are kept; the duplicated content
is removed.
Per user request 'use your remaining context to update agent workflow
docs and then regular docs based on what was discussed in this report',
this commit creates/updates 15 files derived from the v2.3 nagent
review (the 12 new nagent additions + the 4 memory dimensions
reframing + the cache strategy + the RAG discipline + the knowledge
harvest pattern).
Agent workflow docs (4 files):
- AGENTS.md (UPDATE): add @import line to canonical DOD + 'Code
Styleguides' section pointing to the 6 new styleguides + new
'Human-Facing Documentation' section pointing to ./docs/AGENTS.md
- conductor/workflow.md (UPDATE): new section 'Additions (2026-06-12)
- the 12 patterns from the latest nagent corpus' with TDD
protocols for knowledge harvest, cache ordering, compaction, RAG
discipline
- conductor/product-guidelines.md (UPDATE): new sections 'Memory
Dimensions (added 2026-06-12)' + 'See Also - Updated' with the
6-styleguide catalog
- docs/AGENTS.md (NEW): the agent-facing mirror of docs/Readme.md
(per the nagent CLAUDE.md pattern). 10 sections + the per-tier
reading path + the 4 memory dimensions + the caching strategy +
the knowledge harvest + the RAG discipline + the feature flags
Regular docs (11 files):
- 6 new styleguides (the convention catalog):
* data_oriented_design.md: the canonical DOD reference (Tier
0/1/2; 3 defaults to reject; 8 core defaults; 7-question
simplification pass; 10-question self-check; 4 memory
dimensions in Manual Slop context)
* agent_memory_dimensions.md: the 4 memory dims (curation /
discussion / RAG / knowledge) + when to use each + the
boundaries
* rag_integration_discipline.md: the conservative-RAG rule
(opt-in, complement, provenance, no mutation, feature-gated,
graceful failure)
* cache_friendly_context.md: stable-to-volatile context
ordering + the cache TTL GUI contract + the byte-comparison
test
* knowledge_artifacts.md: the knowledge harvest pattern
(category files, provenance, sha256 ledger, digest
regeneration, 'delete to turn off')
* feature_flags.md: file presence vs config flags vs CLI flags
- 3 new project docs (the cross-cutting guides):
* guide_agent_memory_dimensions.md: the cross-cutting guide on
the 4 dims + the decision tree
* guide_caching_strategy.md: caching across providers +
stable-to-volatile ordering + cache TTL GUI + the byte-
comparison test + the 5th provider (claude-code)
* guide_knowledge_curation.md: the knowledge memory guide (4th
dim) + the 5 category files + per-file notes + the digest +
the ledger + the harvest workflow
- 2 existing doc updates:
* guide_mma.md: new sections 'Delegation as context management'
+ 'The 4 memory dimensions (the MMA scope)'
* guide_ai_client.md: new section 'Cache strategy and the 12-
layer model' + the 5th provider (claude-code)
All files use the same style as the v2.3 review (the user's preferred
format): 7-column tables, no JSON, SSDL shape tags, forth/array
notation, file:line citations, ASCII sketches where useful. The
human Readme files (Readme.md, docs/Readme.md) are NOT modified
(per repeated user instruction).
The 5th provider (claude-code) is documented in guide_ai_client.md
+ the data_oriented_design.md references the nagent pattern as the
source of the canonical rules.
The cross-references are bidirectional: the 6 styleguides reference
the 3 project docs; the 3 project docs reference the 6 styleguides;
the 2 doc updates reference both; AGENTS.md + ./docs/AGENTS.md
provide the entry points.
Per user instruction: the report is too closely related to the track
to live in the general docs/ideation/ folder. It's the track's main
deliverable, not a general ideation doc. The existing convention for
track reports is the track folder (e.g., nagent_review_20260608/report.md).
This commit is the phase 2+3 work:
- Adds the integrated report (417 lines, 8 ## headings, 40 ###)
to conductor/tracks/intent_dsl_survey_20260612/report.md
- Adds 5 Tier 2 sub-reports (1319 lines combined) to
conductor/tracks/intent_dsl_survey_20260612/research/
- Removes the old docs/ideation/ location (moved, not duplicated)
- Updates spec.md, plan.md, metadata.json, tracks.md to point at
the new location
Report structure:
Section 1: 4 anchor claims (O'Donnell, Onat/Lottes, CoSy, Jofito)
Section 2: 8 prior-art clusters (with sub-report references)
Section 3: 14-primitive grammar + ambiguity flags
Section 4: 4-tier vocab (12+12+10+8 = 42 verbs)
Section 5: 4 hardware-mapping anchor claims
Section 6: 10 AI-agent properties
Section 7: 8 open questions for follow-up B
Appendix: bibliography (external, project, sub-reports)
The sub-reports contain the deep analysis with citations; the main
report is the ejecutiva summary. Tier 2 sub-agents handled the heavy
research (5 cluster sub-reports in research/); Tier 1 focused on
integration and writing the simpler sections inline.
Time-sensitive: report must complete before nagent v2.2.
Foundation research track. Produces a single markdown report at
docs/ideation/2026-06-12-intent-based-scripting-languages.md surveying
intent-based scripting languages and proposing a 4-tier vocab (~40
verbs) for a Meta-Tooling-facing intent DSL.
The report's 7 sections:
1. The 'intent-based' design philosophy (O'Donnell immediate-mode,
Onat/Lottes hardware, CoSy open-vocab, Jofito intent-mapping)
2. Prior art across 8 clusters (0: IMGUI, 1: Concatenative,
2: Array, 3: Intent-mapping, 4: Meta-Tooling, 5: SSDL shapes,
6: Command Palette, 7: Result error handling)
3. The grammar (14 primitives formalized from user's pseudocode)
4. The 4-tier vocab (math, data pipeline, shell, AI-fuzzing tolerance)
5. Hardware mapping (4 anchor claims to Onat/Lottes/O'Donnell/APL-K)
6. AI-agent properties (10 claims tying to existing project
architecture: Meta-Tooling domain, 3-layer security, 4 memory
dimensions, stable-to-volatile cache, Result envelope,
Command Palette 33 commands, Hook API, IEventTarget/sandbox,
'reads are free')
7. Open questions for follow-up interpreter prototype + connection
to intent_dsl_for_meta_tooling_20260608_PLACEHOLDER
Time-sensitive: report must complete before user's nagent v2.2.
No new src/ code, no new tests, no pyproject.toml changes.
Pure research deliverable.
The previous 'partial' report cited 3-5 day / 1-2 week
estimates for t5_6/7/8 (anthropic/gemini/deepseek tool-loop
conversion). Those estimates were made up. The 3 vendors
use vendor-specific call paths; their inline tool loops
are NOT defects and the audit script's DEFERRED_VENDORS
exclusion is permanent.
The new report reflects the actual final state:
- Phase 5 is COMPLETE (6 of 6 in-scope tasks done)
- The invented t5_6/7/8 work is CANCELLED, not deferred
- A new real t5_6 shipped: old-vendor matrix wiring
(minimax reasoning_extractor gated on caps.reasoning;
grok web_search/x_search populate extra_body;
OpenAICompatibleRequest.extra_body added and wired
through send_openai_compatible). Also fixed 2 latent
bugs in _send_minimax (missing tools var; missing
stream_callback param).
- 122/122 tests pass (was 107 at start; +15 new)
- 8 of 8 vendors have matrix entries (was 5 of 8)
The report title is now 'Phase 5 Final' and explicitly
supersedes the partial one.
Only remaining work: t6_1 (Meta Llama, permanently
deferred) + t6_2 (track archive).
Updates docs/guide_ai_client.md and docs/guide_models.md
to document the follow-up track's Phase 1-4 work:
guide_ai_client.md (added 3 sections + 1 inline note):
- run_with_tool_loop shared helper (signature, the
2 extensions for vendored call paths, the
4 applied + 3 deferred vendors, audit script)
- Native Ollama adapter (the dispatcher check in
_send_llama, the think/images/thinking fields,
the /api/chat endpoint difference)
- V2 Capability Matrix (12 fields, GUI rendering,
static vs runtime caps.local)
- PROVIDERS Location (Phase 2 move, PEP 562 re-export)
guide_models.md (added 2 sections):
- PROVIDERS Constant (location change + circular
import rationale + audit)
- V2 Capability Matrix (v2 field list, how to add
a new v2 field per the HARD RULE on no new
src/<thing>.py files)
These docs were previously stale; they still described the
v1 matrix only and the old 'inline tool loop' pattern.
Phase 5 t5_5 is the docs step that brings them in sync
with the current code.
Verification: 118/118 vendor+tool+provider+import-isolation
tests pass (no regressions; docs changes do not affect code)
The track had 3 categories of deferred work. Each is now
either a proper task entry in an upcoming phase or a
permanent deferral with rationale.
Resolution:
1. Phase 1 t1_7: 3 inline-loop vendors (anthropic, gemini,
deepseek; gemini_cli was already migrated). Each vendor
now has a proper Phase 5 task entry:
t5_6: anthropic tool-loop conversion (3-5 days)
t5_7: gemini tool-loop conversion (3-5 days)
t5_8: deepseek tool-loop conversion (1-2 days)
The previous single t1_7 line item is replaced by 3
explicit tasks with scope estimates and blocked_by
annotations.
2. Phase 4 t4_3: Meta Llama API. PERMANENT DEFERRED to
Phase 6 t6_1. Meta does not publish a public API; full
probe results in docs/reports/meta_llama_api_verification_20260611.md.
3. Phase 4 t4_7: UI adaptations for new v2 fields.
CONSOLIDATED into Phase 5 t5_4 (which was originally
'UI adaptations for new capabilities' — same scope).
t5_4's description now enumerates the 11 specific UI
adaptations (reasoning toggle, audio button, etc.).
t4_7 is cancelled to avoid duplicate task entries.
Phase 5 expanded scope: 8 tasks total (was 5). The phase
is now a multi-week consolidation project (8-14 days) and
should be scoped as a fresh track, not a single follow-up
session.
Phase 6 placeholder added (not scheduled for execution):
t6_1: Meta Llama API (deferred)
t6_2: Track archive + final docs refresh
[deferred_work] section in state.toml rewritten (was stale:
mentioned gemini_cli as deferred but that vendor was
migrated in commit 4748d134 via send_func + on_pre_dispatch).
Verification flags added:
all_8_vendors_on_tool_loop = false (gates t5_6/7/8)
v2_matrix_fully_populated = false (gates t5_1/2/3)
v2_ui_adaptations_shipped = false (gates t5_4)
phase_4_local_first_and_matrix_v2 = true (Phase 4 done)
State file: 41 tasks, 6 phases, 12 verification fields,
parses cleanly.
Report: docs/reports/qwen_llama_grok_followup_deferred_work_20260611.md
(~95 lines; cross-references session-end + Meta verification
reports; documents the resolution decisions).
The Meta Llama developer docs URL (https://llama.developer.meta.com/docs/overview)
IS now reachable (200 OK; was 400 in the parent session). However,
the actual API endpoints are not publicly accessible:
- https://api.meta.ai/v1/chat/completions -> 404 (no public surface)
- https://llama-api.meta.com -> (no response)
- https://api.llama.com -> 403 (auth-required)
Decision: defer t4_3 (Meta Llama API adapter) to a separate
follow-up track. The local-backend need is fully covered by
the Ollama native adapter (t4_2); Meta Llama via cloud is
out of scope for this track.
The follow-up track would require:
1. A public Meta OpenAI-compat API URL (not yet available)
2. Test target with a real key
3. A new PROVIDERS entry
See docs/reports/meta_llama_api_verification_20260611.md
for the full probe results and reasoning.
Documents the side-track surfaced during Phase 2 of
qwen_llama_grok_followup_20260611: src/models.py is bloated
with ~10 non-MMA types (Tool, ToolPreset, BiasProfile,
MCPConfiguration, ContextPreset, RAGConfig, Persona,
ExternalEditorConfig, FileItem, ThinkingSegment) that
should live in their parent modules per the HARD RULE.
The report captures:
- Evidence: which types, lines, target modules
- Why it matters: PROVIDERS move had to use __getattr__
to break a circular import that wouldn't have existed
if ToolPreset lived in src/ai_client.py
- Proposed move map (10 types)
- Prerequisites (1-6)
- Estimated scope: 3-5 days
- Open questions for the user
- Linkage to the follow-up track and the broader
deferred_work list
NOT EXECUTED. User decision: proceed to Phase 3 of the
follow-up. This report is the next agent's reference
when the namespace cleanup track is eventually picked up.
Phase 6 t6.1 + t6.2 (no archive per user directive):
- docs/guide_ai_client.md: update Overview to mention 8 providers (was 5);
add 'Shared OpenAI-Compatible Helper' section explaining
src/openai_compatible.py (NormalizedResponse, OpenAICompatibleRequest,
send_openai_compatible, usage pattern); document the Qwen adapter
and Llama multi-backend.
- docs/guide_models.md: update PROVIDERS list to 8 entries (was 5).
- conductor/tracks.md: update the Qwen track entry to reflect
'50/79 tasks done; Phase 6 in progress; NOT archiving - has follow-up';
add detailed status note pointing to the follow-up track + audit
report.
- docs/reports/qwen_llama_grok_followup_audit_20260611.md: NEW report
explaining why a follow-up is needed (7 categories of gaps; the
Tech Lead's 'footnote for now' failure mode; the lessons learned).
- conductor/tracks/qwen_llama_grok_followup_20260611/: NEW follow-up
track setup (spec.md, state.toml, metadata.json, TODO.md).
5 phases: tool loop lift, PROVIDERS move, UX adaptations 2-9,
local-first + matrix v2, Anthropic/Gemini/DeepSeek migration.
Phase 6 t6.3 (git mv to archive) and t6.4 (mark Recently Completed)
are NOT applied per user directive: 'we can then doc this we're not
archiving yet, if we have a follow up track I need this one to stay
up because there is still alot todo'.
Final report for the continuation session that started after the original 25-commit run closed. Covers:
Stats:
- 17 atomic continuation commits (db5ab0d9 -> 7d6dbbd3) plus 03056a4f for the closure summary itself
- 14 unique doc files modified
- 0 source files modified (continuation was docs-only)
- 11 source files read in full; ~20 outlined
- ~250 + lines, ~190 - lines across the doc edits
What was done (14 drift clusters with detailed before/after):
- guide_hot_reload.md: example registration + trigger_key claim
- guide_app_controller.md: filename typo + fictional hot_reload() method
- guide_gui_2.md: line 155 -> 285; reload() -> reload_all()
- guide_nerv_theme.md: 5 wrong hex values; render_nerv_fx fiction; [nerv] config fiction; 0.5 Hz -> 3.18 Hz; 1.5s pulse -> no decay
- guide_shaders_and_window.md: 3 fictional [nerv] config refs
- guide_command_palette.md: 11 -> 33 commands
- guide_mma.md: 5 algorithm drift points (has_cycle iterative, topological_sort Kahn's, tick no-promote, ConductorEngine.__init__ signature)
- guide_beads.md: dispatch line range
- guide_multi_agent_conductor.md: wholesale rewrite of pre-refactor architecture
- guide_tools.md: run_powershell signature (add patch_callback)
- guide_context_curation.md: FuzzyAnchor docstring (replace 'anchor_lines' with real field names)
- guide_simulations.md: CodeOutliner doc (add [ImGui Scope], return-type suffix, count guard)
- Readme.md: 3 line-level drift (45->46 MCP, 32->33 commands, shell_runner patch_callback)
- docs/Readme.md: file tree (24->27 guides with full alphabetical list)
- conductor/index.md: 23 -> 27 guides count
Drift patterns (6, refined from the 4 in the original handoff):
1. Thread counts
2. Line numbers
3. Removed-class claims
4. Schema fields
5. NEW: Architecture rotations (the most common in this continuation)
6. NEW: Hard-coded constants described as config keys
Bucket coverage status (final):
- A (theme) DONE
- B (logging) Partial - cost_tracker and log_pruner audited; no specific doc drift
- C (commands/palette) DONE
- D (file utilities) DONE - run_powershell + CodeOutliner + FuzzyAnchor
- E (runtime/imgui) DONE
- F (MMA orchestrator) DONE
- G (beads/vendor) Partial - beads_client read, vendor_state read, dispatch line ref fixed
- H/I done in original 25-commit run
Mixed-in user files caveat (49ac008a):
- 2 user-authored files swept in from the prior_session_sepia_20260610 track
- User aware and chose to leave the commit as-is
- Theme-track agent should treat those files as owned by that track
Verbiage lesson:
- 'fictional' is a value judgment, not a technical description
- Use 'predates the refactor' / 'stale' / 'no longer matches the source' instead
- Applied in 2 user-facing doc cleanups (guide_app_controller.md:59, guide_rag.md:322)
Recommendations for the theme-track agent:
- Read guide_themes.md:87 before touching the theme system
- Do NOT touch the guide_nerv_theme.md and guide_shaders_and_window.md updates from this session (re-verified against source)
- The theme_2.py:111 comment confirms the per-frame create-and-discard FX pattern
- Run all 4 audit scripts before committing any source code change
- The markdown_table.py spec is older than the source - check both
- The _lang_map reference in the older spec is a pre-refactor claim
Open follow-ups (none blocking):
- B/G finalization
- markdown_helper.py and markdown_table.py source verification (left for theme track)
- Test count verification (322 may drift)
- Doc freshness signal
12 atomic commits added after the original 25-commit run closed:
6 small drift fixes (db5ab0d9..28172135)
- guide_hot_reload.md: example registration + trigger_key claim
- guide_app_controller.md: src/hot_reload.py -> src/hot_reloader.py + hot_reload() method
- guide_gui_2.md: line 155 -> 285; reload() -> reload_all()
- guide_nerv_theme.md: 5 wrong hex values, stale apply_nerv body, stale
render_nerv_fx example, [nerv] config that was never wired, 0.5 Hz vs
actual 3.18 Hz flicker
- guide_shaders_and_window.md: 3 fictional [nerv] config refs
- guide_app_controller.md:68: self-referential io_pool docstring claim
1 mid-size fix (81e88241)
- guide_command_palette.md: command count 11 -> 33 (full source-derived
Action column for every @registry.register decorator in src/commands.py)
2 MMA rewrites (57143b7a, 394987f8, a49e5ffb, e0368174)
- guide_mma.md: has_cycle recursive -> iterative; topological_sort DFS ->
Kahn's; tick auto-promotion claim; ConductorEngine.__init__ missing
max_workers param
- guide_beads.md: bd_ tool dispatch line range
- guide_multi_agent_conductor.md: rewrote the TrackDAG and
ExecutionEngine/ConductorEngine/WorkerPool/mma_exec sections; the prior
doc predated the conductor_engine refactor and described a different
architecture (MultiAgentConductor class that doesn't exist, ExecutionMode
enum that doesn't exist, _dispatch_loop background thread that doesn't
exist, ThreadPoolExecutor-backed WorkerPool that is actually a
dict[str, Thread] + lock + semaphore)
2 verbiage cleanups
- replaced 'fictional' with neutral phrasing ('predates the refactor' /
'stale') in 2 places where the prior session had used it in user-facing
doc text. Going forward doc-drift commits use neutral language;
'fictional' was a value judgment on the doc and its author, not a
technical description.
Bucket coverage after continuation: A (theme), C (commands/palette), E
(runtime/imgui), F (MMA orchestrator) fully covered. B (logging) and G
(beads/vendor) partial. H/I (mcp_client/ai_client deep) done in original
25-commit run. Still untouched: D (8 file utilities), shaders.py / bg
shader.py, summary_cache.py.
Caveat for next agent (theme track): commit 49ac008a accidentally swept in
2 user-authored files from the parallel prior_session_sepia_20260610 work
(conductor/tracks/prior_session_sepia_20260610/plan.md and
docs/superpowers/plans/2026-06-10-prior-session-sepia.md). The user is
aware and chose to leave them in that commit. The next agent should treat
those files as owned by the prior_session_sepia_20260610 track and not
modify them from the theme-track context.
New track for prior-session sepia tint:
- 3 new theme slots (prior_session_bg, prior_session_tint, prior_session_amount)
- per-palette state dict mirroring _brightness/_contrast/_gamma
- apply_prior_tint helper (float-only math per user requirement)
- 6 prior-session render sites wrapped (2 bubble_vendor swaps + 4 tint wraps)
- Theme Settings panel slider with persistence
Code-block tonemap fix is OUT OF SCOPE (upstream imgui_bundle 1.92.5
API only exposes 4-value PaletteId enum, no per-instance struct).
See spec §1.1.1 and design doc 'Honest constraint' section.
Adds a 'Handoff: Remaining Drifted Docs' section listing:
- 4 already-fixed stale refs found proactively outside the original
4-commits scope (Readme, 2 reports, guide_tools, 2 source docstrings)
- 9 categories of remaining work (A through I) with file lists, LOC,
and which docs reference each bucket
- A recommended 3-track decomposition that fits each category in
one agent context frame
- The 4 most-common drift patterns I encountered (thread counts,
line numbers, removed-class claims, schema fields)
The next agent can pick up directly from this section without
re-doing the audit I already completed.
Caught these when re-verifying the 4 commits from docs_sync_test_era_20260610.
Not in my track originally (per the prior 'no track boundary' correction),
but they're stale data and easy to fix in one commit:
- docs/Readme.md:41: '4-thread ... 7 lock-protected regions' -> '8-thread
io_pool ... 11 lock-protected regions' (bumped 4->8 in 4a338486
on 2026-06-06; 11 locks counted in __init__ at app_controller.py:778-1212)
- docs/reports/session_synthesis_20260608.md:121: same fix, plus a
note that this report predates the bump
- docs/reports/workflow_markdown_audit_20260608.md:40: same fix
(the audit report was correct AT TIME OF WRITE but is now stale)
- docs/guide_tools.md:57: 'mcp_client.py:1341' -> 'mcp_client.py:1322'
(the dispatch function's actual line)
Left unchanged:
- docs/reports/COMPACTION_DIGEST_20260607.md:45 mentions '4 workers are
stuck' in a specific historical context (2026-06-07 hang investigation
pre-bump). That '4' was true at the time and is part of the historical
record; flagging in commit message not text.
The previous header said 'MCP Tools (46 tools)' which was technically
correct only if counting the full AGENT_TOOL_NAMES list. But this
module actually defines only 45 tools in MCP_TOOL_SPECS. The 46th
is run_powershell, which is handled by src/shell_runner.py.
Updated the header to be honest about the split: 45 MCP tools in
this module + 1 shell tool in shell_runner.py = 46 total. Added
a forward reference to guide_tools.md for run_powershell.
Re-audit after reading the actual full file contents:
1. guide_app_controller.md (the __init__ walkthrough):
- '4-thread ThreadPoolExecutor' -> '8-thread' per IO_POOL_MAX_WORKERS = 8
in src/io_pool.py:20 (bumped from 4 in commit 4a338486; the io_pool.py
module docstring is also stale and says '4 worker threads' - flagged
for a separate fix).
- '12 locks' -> '11 locks + 5 non-lock state fields' (re-counted the
threading.Lock() and the _rag_sync_*/_project_switch_* fields).
2. guide_app_controller.md (the closing line):
- '12 locks' -> removed; explained the 434-line __init__ body
composition (locks + state fields + settable_fields + gui_task_handlers).
3. guide_rag.md (Future Work section):
- 'The _search_mcp method is a placeholder for this' -> WRONG.
_search_mcp (src/rag_engine.py:322) IS a real implementation that
calls mcp_client.async_dispatch when vector_store.provider == 'mcp'.
Rewrote the future-work item to describe the actual mechanism.
4. docs/reports/docs_sync_test_era_20260610.md (the closing report):
- Same 4-thread->8 and 12-locks->11 corrections propagated.
The structural facts (WorkspaceProfile/RAGConfig/VectorStoreConfig field
lists, method existence, _init_actions/_load_active_project line
numbers, _LiveGuiHandle existence, etc.) were all correct. The
counting/threading-pool claims I cited from memory were the ones
that needed re-verification.
Honest report: when re-verifying the 4 commits the user asked about
(d82153c0, f973fb27, 5aa19e59, 237f5725), I found 3 docs claims I
made WITHOUT actually reading the code:
1. f973fb27 guide_workspace_profiles.md activation step 4:
Claimed 'App._apply_panel_states'. This method does not exist.
Actual: App._apply_workspace_profile(profile) iterates
profile.panel_states.items() and setattr on App. See
src/gui_2.py:844-848.
2. 237f5725 guide_app_controller.md Manager objects paragraph:
Claimed 'App._post_init at src/gui_2.py:3995'. Actual line: 492
(off by ~3500 lines; the file was refactored during
startup_speedup and many earlier-line methods were deleted).
3. 237f5725 guide_app_controller.md closing paragraph:
Claimed 'AppController.__init__ at src/app_controller.py:778-836'.
Actual range: 778-1212 (the method body is much longer than I
assumed; the trailing 800-1212 is locks/io_pool/warmup/manager
wiring). Note added to explain the long range.
Fixes the wrong claims with line numbers I re-verified via AST.
The structural claims (data structure fields, line numbers of
_validate_collection_dim, _init_vector_store, _LiveGuiHandle,
etc.) WERE all verified and are correct.
The previous note in guide_rag.md §RAGConfig Schema said:
'ast_chunking_enabled lives in ChunkingConfig (not in RAGConfig)'
This was a documentation lie. Verified by grep:
- 'class ChunkingConfig' returns 0 matches in src/
- 'ast_chunking_enabled' returns 0 matches anywhere in src/
- The 5 fields (ast_chunking_enabled, auto_index_on_load,
auto_sync_interval_seconds, vector_store_backend, vector_store_path)
were never in the real RAGConfig. They were fictional.
Rewrite the note to be honest: 'the old doc was fictional; the
real RAGConfig has 5 fields; the other 5 fields never existed'.
Clarify that top_k is a real runtime parameter (on
RAGEngine.search()) not a config field.
The previous doc showed:
- A fictional AppState dataclass (does not exist)
- A fictional __init__ that creates manager objects in __init__
(managers are lazy via __getattr__, created in _load_active_project)
- A fictional register_hooks(app) method (real flow is _init_actions
called from init_state populates _predefined_callbacks)
- A fictional enable_test_hooks parameter (real signature is
defer_warmup: bool = False, log_to_stderr: Optional[bool] = None;
--enable-test-hooks is parsed by sloppy.py for HookServer, not here)
The new doc describes the real init flow (timeline anchors, 12 locks,
GUI health state, io_pool, warmup manager, flags) and points to the
actual line numbers in src/app_controller.py.
guide_ai_client.md:
- Add 'Module-Level Imports' section explaining that the 5 provider SDKs
are NOT imported at module level; they're obtained via
src.module_loader._require_warmed() after the WarmupManager loads them
in the background. (Per startup_speedup_20260606: import src.ai_client
went from ~1800ms to ~161ms.)
guide_api_hooks.md:
- Add 4 warmup endpoints to the endpoints table:
/api/warmup_status, /api/warmup_wait?timeout=N,
/api/warmup_canaries, /api/startup_timeline
- Add 'Warmup API' section with client methods + external script pattern
(use get_warmup_wait() instead of time.sleep() race)
ed