docs(guides): fix stale src/models.py refs + line-number drift across 11 guides

Sweep of the per-source-file guides + Readme.md for stale references
to src/models.py as the data model home. models.py is now a ~1.5KB
re-export shim per module_taxonomy_refactor_20260627; dataclasses
moved to src/mma.py, src/project_files.py, src/type_aliases.py,
src/mcp_tool_specs.py, src/result_types.py, src/context_presets.py,
src/workspace_manager.py, src/personas.py.

- guide_gui_2.md: _gui_func line 754->1062; render_main_interface
  line 1259->1898.
- python.md §10 exemption table: App gui_2.py:307->314; AppController
  795->801; RAGEngine 123->125; HookServer 856->941;
  HookServerInstance 130->171; HookHandler 155->208;
  WebSocketServer 908->993.
- guide_multi_agent_conductor.md: Ticket now in src/mma.py (not
  models.py); ConductorEngine 116+->112+; WorkerPool 50-114->52-110.
- guide_agent_memory_dimensions.md: FileItem ref models.py:510-559
  -> src/project_files.py.
- guide_context_aggregation.md: FileItem + ContextPreset refs ->
  src/project_files.py + src/context_presets.py; ai_client _send_*
  count 5->8.
- guide_discussions.md: parse_history_entries now in src/mma.py;
  ContextPreset/FileItem cross-refs updated.
- guide_personas.md: Persona now in src/personas.py; import example
  updated.
- guide_rag.md: RAGConfig now in src/mcp_client.py.
- guide_workspace_profiles.md: WorkspaceProfile now in
  src/workspace_manager.py.
- guide_mma.md: Data Structures section notes src/mma.py as the live
  location.
- Readme.md: MMA Engine + Data Models rows updated for the
  models.py shim reality + 8 providers + mma_exec deprecation.
- guide_ai_client.md: '5 provider SDKs'->8 (added note); PROVIDERS
  line 56->62; __getattr__ re-export line 261->31; provider
  switching examples use real registered model names (claude-sonnet-
  4-5, MiniMax-M2, gemini-2.5-flash, qwen-plus, grok-2, llama-3.1);
  _provider union lists all 8 providers.

conductor/code_styleguides/python.md

@@ -137,16 +137,16 @@ When refactoring a class to functions:
 
 | Class | File:Line | State held |
 |---|---|---|
-| `App` | `src/gui_2.py:307` | GUI state (show_windows, active_discussion, disc_entries), delegation proxies |
+| `App` | `src/gui_2.py:314` | GUI state (show_windows, active_discussion, disc_entries), delegation proxies |
-| `AppController` | `src/app_controller.py:795` | 11 locks, all subsystem managers, presets/personas/RAG state |
+| `AppController` | `src/app_controller.py:801` | 11 locks, all subsystem managers, presets/personas/RAG state |
 | `ConductorEngine` | `src/multi_agent_conductor.py:112` | TrackDAG, ExecutionEngine, WorkerPool, tier_usage |
 | `WorkerPool` | `src/multi_agent_conductor.py:52` | active workers dict, semaphore, lock |
-| `RAGEngine` | `src/rag_engine.py:123` | embedding provider, chroma client/collection |
+| `RAGEngine` | `src/rag_engine.py:125` | embedding provider, chroma client/collection |
 | `BaseEmbeddingProvider` + subclasses (`LocalEmbeddingProvider`, `GeminiEmbeddingProvider`) | `src/rag_engine.py:74,78,87` | loaded model state |
 | `EventEmitter` | `src/events.py:40` | listeners dict |
 | `AsyncEventQueue` | `src/events.py:77` | asyncio.Queue |
 | `HistoryManager` | `src/history.py:71` | undo/redo stack (100-snapshot capacity) |
-| `HookServer` + `HookServerInstance` + `HookHandler` + `WebSocketServer` | `src/api_hooks.py:856,130,155,908` | HTTP server thread, port binding, event queue |
+| `HookServer` + `HookServerInstance` + `HookHandler` + `WebSocketServer` | `src/api_hooks.py:941,171,208,993` | HTTP server thread, port binding, event queue |
 | `HotReloader` + `HotModule` | `src/hot_reloader.py:21,15` | HOT_MODULES registry, last_error, is_error_state |
 
 **NOT exempt** (these are dataclasses / data carriers / context managers, not stateful subsystems):

docs/Readme.md

@@ -35,8 +35,8 @@ This documentation suite provides comprehensive technical reference for the Manu
 | [API Hooks](guide_api_hooks.md) | `src/api_hooks.py` + `src/api_hook_client.py` reference: HookServer on `127.0.0.1:8999`, ApiHookClient Python wrapper, 8+ endpoints (`/status`, `/api/gui`, `/api/ask`, `/api/gui/mma_status`, `/api/performance`, `/api/comms`, `/api/diagnostics`), Remote Confirmation Protocol via `/api/ask` (synchronous blocking HITL), `custom_callback` action for invoking any registered App method |
 | [MCP Client](guide_mcp_client.md) | `src/mcp_client.py` reference: 45 native tools (File I/O, Python AST, C/C++ AST, Analysis, Network, Runtime, Beads), 3-layer security model (Allowlist Construction, Path Validation, Resolution Gate), `dispatch()`/`async_dispatch()` entry points, ExternalMCPManager for external MCP servers (Stdio + SSE), JSON-RPC 2.0 engine, public API, configuration |
 | [App Controller](guide_app_controller.md) | `src/app_controller.py` reference: headless orchestrator owning AppState and all subsystem managers (PresetManager, PersonaManager, ContextPresetManager, ToolPresetManager, ToolBiasEngine, RAGEngine, HistoryManager, WorkspaceManager, HookServer, HotReloader, PathManager), `_predefined_callbacks` and `_gettable_fields` registries for Hook API, SyncEventQueue bridge, preset/persona/context coordination, headless mode |
-| [MMA Engine](guide_multi_agent_conductor.md) | `src/multi_agent_conductor.py` + `src/dag_engine.py` reference: TrackDAG with cycle detection (iterative DFS) and topological sort (Kahn's variant), ExecutionEngine with Auto-Queue / Step Mode state machine, MultiAgentConductor with WorkerPool (configurable concurrency, default 4), mma_exec.py sub-agent invocation for Token Firewall, parse_plan_md utility, Beads mode delegation |
+| [MMA Engine](guide_multi_agent_conductor.md) | `src/multi_agent_conductor.py` + `src/dag_engine.py` reference: TrackDAG with cycle detection (iterative DFS) and topological sort (Kahn's variant), ExecutionEngine with Auto-Queue / Step Mode state machine, MultiAgentConductor with WorkerPool (configurable concurrency, default 4), the WorkerPool's internal `run_worker_lifecycle` subprocess template (NOT the meta-tooling `mma_exec.py` — that's deprecated; see `guide_meta_boundary.md`), parse_plan_md utility (now in `src/mma.py`), Beads mode delegation |
-| [Data Models](guide_models.md) | `src/models.py` reference: centralized data model registry using pydantic + dataclasses, model categories (Core, AI, Preset, Persona, Context, MMA, UI State, Logging, Hook, Workspace, RAG), `AGENT_TOOL_NAMES` canonical 45-tool list, `PROVIDERS` constant, `parse_plan_md` utility, validation patterns, SDM tags, serialization strategies (TOML, JSON-L) |
+| [Data Models](guide_models.md) | `src/models.py` is now a ~1.5KB legacy re-export shim (`Metadata = TrackMetadata` alias + `PROVIDERS` lazy `__getattr__`). Data models moved to per-system files per `module_taxonomy_refactor_20260627`: `src/mma.py` (TrackMetadata, Ticket, Track, WorkerContext), `src/project_files.py` (FileItem), `src/type_aliases.py` (typed boundary + per-aggregate dataclasses: Metadata, CommsLogEntry, HistoryMessage, ToolDefinition, SessionInsights, DiscussionSettings, CustomSlice, MMAUsageStats, ProviderPayload, UIPanelConfig, PathInfo, FileItemsDiff, JsonPrimitive/JsonValue), `src/mcp_tool_specs.py` (typed ToolSpec registry, 45 tools), `src/result_types.py` (Result[T], ErrorInfo, ErrorKind). `VendorCapabilities` lives in `src/ai_client.py` `#region: Vendor Capabilities`. `PROVIDERS` constant in `src/ai_client.py` (8 providers: gemini, anthropic, gemini_cli, deepseek, minimax, qwen, grok, llama). |
 | [Discussions](guide_discussions.md) | The Discussion system: 23-operation matrix A1-A7 (per-entry) + B1-B11 (discussion-level) + C1-C5 (undo/redo), Take naming convention (`<base>_take_<n>`), branching at any entry (`project_manager.branch_discussion`), promotion to top-level (`project_manager.promote_take`), user-managed role list (`app.disc_roles`), per-role filter linked to MMA persona focus, `_disc_entries_lock` thread-safety contract, Hook API session endpoints |
 | [State Lifecycle](guide_state_lifecycle.md) | Undo/redo via `HistoryManager` + `UISnapshot` (13 captured fields, 100-snapshot capacity, debounced change detection at render frame), reset flow (`_handle_reset_session` — clears 30+ fields, replaces project, preserves `active_project_path` per the 2026-06-08 regression fix), `App.__getattr__`/`__setattr__` state delegation to Controller, 8-thread io_pool with 11 lock-protected regions (per `IO_POOL_MAX_WORKERS = 8` in `src/io_pool.py:20`; bumped 4→8 in 4a338486 on 2026-06-06), hot-reload integration |
 | [Context Aggregation](guide_context_aggregation.md) | The `aggregate.py` (518-line) pipeline: 3 aggregation strategies (`auto`/`summarize`/`full`), 7 per-file view modes (`full`/`summary`/`skeleton`/`outline`/`masked`/`custom`/`none`), full `FileItem` schema (9 fields + `__post_init__` normalizer), `ContextPreset` schema and `ContextPresetManager`, Tier 3 worker variant (`build_tier3_context` with FuzzyAnchor re-resolution and focus-file handling), `force_full`/`auto_aggregate` short-circuits, output file numbering, cache strategy (static prefix + dynamic history) |

docs/guide_agent_memory_dimensions.md

@@ -77,7 +77,7 @@ A `ContextPreset` is a named, persisted set of `FileItem`s. Both persist in the
 
 **The shape rule.** Curation is per-file, per-discussion, structural. Edited at the Structural File Editor. Persisted in TOML. The file's `FileItem` is the single source of truth for "how do I render this file in the AI's context."
 
-**See:** `docs/guide_context_curation.md`; `src/models.py:510-559` (FileItem schema); `src/context_presets.py` (ContextPresetManager).
+**See:** `docs/guide_context_curation.md`; `src/project_files.py` (FileItem dataclass, moved out of `src/models.py` per `module_taxonomy_refactor_20260627`); `src/context_presets.py` (ContextPresetManager).
 
 ---
 

docs/guide_ai_client.md

@@ -21,7 +21,7 @@ The OpenAI-compatible vendors all call the shared helper in `src/openai_compatib
 
 ## Module-Level Imports
 
-> **Important:** The 5 provider SDKs are **NOT** imported at module level. `import google.genai`, `import anthropic`, `import openai`, and `import fastapi` are heavy (~430-955ms each on cold load) and are now obtained via `src.module_loader._require_warmed("google.genai")` and similar calls, after the `WarmupManager` has loaded them in the background. The module-level globals you see in the State section (`_gemini_client`, `_anthropic_client`, etc.) are typed as `Optional` because they're populated by `_require_warmed()` on first use, not at import time.
+> **Important:** The provider SDKs are **NOT** imported at module level. `import google.genai`, `import anthropic`, `import openai`, `import dashscope`, and `import fastapi` are heavy (~430-955ms each on cold load) and are now obtained via `src.module_loader._require_warmed("google.genai")` and similar calls, after the `WarmupManager` has loaded them in the background. The module-level globals you see in the State section (`_gemini_client`, `_anthropic_client`, etc.) are typed as `Optional` because they're populated by `_require_warmed()` on first use, not at import time. (Updated 2026-07-02: there are 8 providers, not 5 — the original "5 SDKs" count predated the qwen/grok/llama additions.)
 
 This change was part of the 2026-06-06 `startup_speedup_20260606` track. Before: `import src.ai_client` took ~1800ms. After: ~161ms. The remaining cost is the bare module skeleton.
 
@@ -52,7 +52,7 @@ All state is module-level globals. The most important:
 
 | Variable | Type | Purpose |
 |---|---|---|
-| `_provider: str` | `"gemini" \| "anthropic" \| "deepseek" \| "minimax" \| "gemini_cli"` | Active provider |
+| `_provider: str` | `"gemini" \| "anthropic" \| "gemini_cli" \| "deepseek" \| "minimax" \| "qwen" \| "grok" \| "llama"` | Active provider (8 total) |
 | `_model: str` | `str` | Active model name |
 | `_temperature: float` | `0.0` | Sampling temperature |
 | `_top_p: float` | `1.0` | Nucleus sampling |
@@ -129,10 +129,13 @@ Returns the model's response as a `Result[str, ErrorInfo]` (the data-oriented er
 ```python
 from src import ai_client
 ai_client.set_provider("gemini", "gemini-3-flash-preview")
-ai_client.set_provider("anthropic", "claude-3-5-sonnet-latest")
+ai_client.set_provider("anthropic", "claude-sonnet-4-5-20250929")
-ai_client.set_provider("deepseek", "deepseek-chat")
+ai_client.set_provider("deepseek", "deepseek-v3")
-ai_client.set_provider("minimax", "grok-2-latest")
+ai_client.set_provider("minimax", "MiniMax-M2")
-ai_client.set_provider("gemini_cli", "gemini-2.0-flash")
+ai_client.set_provider("gemini_cli", "gemini-2.5-flash")
+ai_client.set_provider("qwen", "qwen-plus")
+ai_client.set_provider("grok", "grok-2")
+ai_client.set_provider("llama", "llama-3.1-8b-instant")
 ```
 
 ### Parameter Setters
@@ -686,9 +689,9 @@ Added 2026-06-11. The `VendorCapabilities` dataclass in `src/vendor_capabilities
 
 ### PROVIDERS Location (Phase 2)
 
-The `PROVIDERS` list moved from `src/models.py` to `src/ai_client.py:56` per the AGENTS.md HARD RULE (no new `src/<thing>.py` files). A PEP 562 `__getattr__` re-export in `src/models.py:261` maintains backward compatibility (lazy import; breaks the circular dependency where `src/ai_client.py` imports `ToolPreset` from `src/models.py`).
+The `PROVIDERS` list moved from `src/models.py` to `src/ai_client.py:62` per the AGENTS.md HARD RULE (no new `src/<thing>.py` files; system code lives in the system module). A PEP 562 `__getattr__` re-export in `src/models.py:31` maintains backward compatibility (lazy import; breaks the circular dependency where `src/ai_client.py` imports `ToolPreset` from `src/tool_presets.py` and `src/models.py` is now a thin shim).
 
-Audit: `scripts/audit_providers_source_of_truth.py` fails if `PROVIDERS` is declared in `src/models.py`.
+Audit: `scripts/audit_providers_source_of_truth.py` fails if `PROVIDERS` is declared as a literal in `src/models.py`.
 
 
 ### Tests

docs/guide_context_aggregation.md

@@ -87,7 +87,7 @@ The `auto` strategy is the *only* one that respects `config.project.summary_only
 
 ## The FileItem Schema (Full)
 
-`src/models.py:510-559 FileItem` is the **per-file curation memory** that nagent_review identified as Manual Slop's strongest dimension. The dataclass has 9 mutable fields + a `__post_init__` normalizer:
+`src/project_files.py:FileItem` is the **per-file curation memory** that nagent_review identified as Manual Slop's strongest dimension (moved out of `src/models.py` per `module_taxonomy_refactor_20260627`). The dataclass has 9 mutable fields + a `__post_init__` normalizer:
 
 ```python
 @dataclass
@@ -139,7 +139,7 @@ Multiple slices in a file are joined with `\n\n`.
 
 ## The ContextPreset Schema
 
-`src/models.py:909-937 ContextPreset` is a *named, persisted set* of `FileItem`s — a reusable "context composition":
+`src/context_presets.py:ContextPreset` is a *named, persisted set* of `FileItem`s — a reusable "context composition" (moved out of `src/models.py`; see [guide_models.md](guide_models.md) for the current per-system file map):
 
 ```python
 @dataclass
@@ -381,10 +381,10 @@ For very large codebases (1000+ files), the bottleneck is the tree-sitter parsin
 ## Cross-References
 
 - **The pipeline source:** `src/aggregate.py` (518 lines)
-- **FileItem schema:** `src/models.py:510-559 FileItem`
+- **FileItem schema:** `src/project_files.py:FileItem` (moved out of `src/models.py`)
-- **ContextPreset schema:** `src/models.py:909-937 ContextPreset`
+- **ContextPreset schema:** `src/context_presets.py:ContextPreset` (moved out of `src/models.py`)
 - **ContextPresetManager:** `src/context_presets.py` (30 lines)
-- **AI client consumption:** `src/ai_client.py:_send_<provider>` × 5, see `guide_ai_client.md`
+- **AI client consumption:** `src/ai_client.py:_send_<provider>` × 8 (gemini, anthropic, gemini_cli, deepseek, minimax, qwen, grok, llama), see `guide_ai_client.md`
 - **Tier 3 worker consumption:** `src/multi_agent_conductor.py:run_worker_lifecycle`, see `guide_multi_agent_conductor.md`
 - **Per-file curation features:** `guide_context_curation.md` (Fuzzy Anchors, AST Inspector, Granular AST Control)
 - **Cache strategy:** `guide_architecture.md §"Cache Hit Strategy"`, `guide_ai_client.md §"Caching"`

docs/guide_discussions.md

@@ -28,7 +28,7 @@ This is a *deliberate* design choice. Manual Slop treats the discussion as user-
 
 ### The Entry Dict
 
-The smallest unit of a discussion is the **entry**, a `dict[str, Any]` with this shape (`src/models.py:parse_history_entries` builds it; `src/gui_2.py:render_discussion_entry` reads it):
+The smallest unit of a discussion is the **entry**, a `dict[str, Any]` with this shape (`parse_history_entries` builds it — moved out of `src/models.py` to `src/mma.py` per `module_taxonomy_refactor_20260627`; `src/gui_2.py:render_discussion_entry` reads it):
 
 | Field | Type | Source | Purpose |
 |---|---|---|---|
@@ -343,7 +343,7 @@ The POST endpoint allows external automation to *replace* the entire discussion.
 
 ## Cross-References
 
-- **Discussion data model:** `src/models.py:196 parse_history_entries`, `src/models.py:909 ContextPreset`, `src/models.py:510 FileItem`
+- **Discussion data model:** `parse_history_entries` (moved out of `src/models.py` to `src/mma.py`), `ContextPreset` (now in `src/context_presets.py`), `FileItem` (now in `src/project_files.py`)
 - **Discussion persistence:** `src/project_manager.py:429 branch_discussion`, `src/project_manager.py:447 promote_take`, `src/project_manager.py:396 calculate_track_progress`
 - **Discussion switching/management:** `src/app_controller.py:3199 _switch_discussion`, `src/app_controller.py:3225 _flush_disc_entries_to_project`, `src/app_controller.py:3286 _handle_reset_session`, `src/app_controller.py:3357 _handle_compress_discussion`, `src/app_controller.py:3503 _branch_discussion`, `src/app_controller.py:3521 _rename_discussion`, `src/app_controller.py:3537 _delete_discussion`
 - **GUI render functions:** `src/gui_2.py:175 truncate_entries`, `src/gui_2.py:735 _take_snapshot`, `src/gui_2.py:754 _apply_snapshot`, `src/gui_2.py:3770 render_discussion_entry`, `src/gui_2.py:4227 render_discussion_entries`, `src/gui_2.py:4239 render_discussion_entry_controls`, `src/gui_2.py:4317 render_discussion_roles`, `src/gui_2.py:4330 render_discussion_selector`

docs/guide_gui_2.md

@@ -100,7 +100,7 @@ The App holds dozens of state attributes. The most important:
 | `self._tool_log` | `deque` | Tool call log |
 | `show_command_palette` | `bool` | Command palette visibility |
 
-### Render Entry Point: `_gui_func` (line 754)
+### Render Entry Point: `_gui_func` (line 1062)
 
 The main render loop, called by imgui-bundle's Hello ImGui runner every frame:
 
@@ -130,7 +130,7 @@ def _gui_func(self) -> None:
     render_error_tint(self)
 ```
 
-### `render_main_interface` (line 1259)
+### `render_main_interface` (line 1898)
 
 The "main content" renderer. Iterates over the major panels and calls the right render function for each:
 

docs/guide_mma.md

@@ -17,7 +17,9 @@ Tier 4: QA             — stateless error analysis, no fixes
 
 ---
 
-## Data Structures (`models.py`)
+## Data Structures (`src/mma.py`)
+
+> **Note (updated 2026-07-02):** the MMA data structures (`Ticket`, `Track`, `WorkerContext`, `TrackMetadata`, `TicketStatus`, `TicketPriority`, `TrackCheckpoint`) moved out of `src/models.py` into `src/mma.py` per `module_taxonomy_refactor_20260627`. The old heading "models.py" is retained as a section anchor for readers following older references; the live location is `src/mma.py`.
 
 ### Ticket
 

docs/guide_multi_agent_conductor.md

@@ -72,7 +72,7 @@ class TrackDAG:
         self.ticket_map = {t.id: t for t in tickets}          # dict[str, Ticket] (O(1) lookup)
 ```
 
-The `Ticket` dataclass itself is defined in `src/models.py` (see [guide_models.md](guide_models.md)). It carries the dependencies and status directly — there is no separate `TicketNode` wrapper, no `edges` dict, no `reverse_edges` dict. Adjacency lists are computed on demand inside `cascade_blocks()` and `topological_sort()`.
+The `Ticket` dataclass itself is defined in `src/mma.py` (moved out of `src/models.py` per `module_taxonomy_refactor_20260627`; see [guide_models.md](guide_models.md)). It carries the dependencies and status directly — there is no separate `TicketNode` wrapper, no `edges` dict, no `reverse_edges` dict. Adjacency lists are computed on demand inside `cascade_blocks()` and `topological_sort()`.
 
 ### Public Methods (actual signatures from `src/dag_engine.py:41-163`)
 
@@ -192,7 +192,7 @@ class ExecutionEngine:
 
 ---
 
-## The `ConductorEngine` (in `src/multi_agent_conductor.py:116+`)
+## The `ConductorEngine` (in `src/multi_agent_conductor.py:112+`)
 
 The actual class is named `ConductorEngine`, not `MultiAgentConductor`. It owns the DAG, the engine, and a `WorkerPool`; pushes state to the GUI; and runs the main async dispatch loop.
 
@@ -263,7 +263,7 @@ async def _push_state(self, status: str = "running", active_tier: str = None) ->
 
 ---
 
-## The `WorkerPool` (in `src/multi_agent_conductor.py:50-114`)
+## The `WorkerPool` (in `src/multi_agent_conductor.py:52-110`)
 
 A `dict[str, Thread]` + `threading.Lock` + `threading.Semaphore`, NOT a `ThreadPoolExecutor` wrapper.
 

docs/guide_personas.md

@@ -23,7 +23,7 @@ This guide covers:
 
 ## Data Model
 
-### `Persona` (`src/models.py:704`)
+### `Persona` (defined in `src/personas.py`; moved out of `src/models.py` per `module_taxonomy_refactor_20260627`)
 
 ```python
 class Persona:
@@ -138,8 +138,7 @@ aggregation_strategy = "summarize"
 `PersonaManager` is the CRUD interface.
 
 ```python
-from src.personas import PersonaManager
+from src.personas import PersonaManager, Persona
-from src.models import Persona
 
 manager = PersonaManager(project_root=Path("/path/to/project"))
 all_personas = manager.load_all()  # Merged global + project

docs/guide_rag.md

@@ -69,7 +69,7 @@ class RAGEngine:
         ...
 ```
 
-**Construction**: Takes a `RAGConfig` (from `src/models.py`) and a `base_dir`. The config specifies the embedding provider type, the vector store path, the chunk size, and the chunk overlap.
+**Construction**: Takes a `RAGConfig` (defined in `src/mcp_client.py` — moved out of `src/models.py` per `module_taxonomy_refactor_20260627`) and a `base_dir`. The config specifies the embedding provider type, the vector store path, the chunk size, and the chunk overlap.
 
 **Internal state**:
 - `embedding_provider: BaseEmbeddingProvider` — set by `_init_embedding_provider`
@@ -322,7 +322,7 @@ chunk_size = 1000
 chunk_overlap = 200
 ```
 
-### `RAGConfig` + `VectorStoreConfig` Schema (`src/models.py`)
+### `RAGConfig` + `VectorStoreConfig` Schema (defined in `src/mcp_client.py`; moved out of `src/models.py`)
 
 ```python
 @dataclass

docs/guide_workspace_profiles.md

@@ -64,7 +64,7 @@ Workspace Profiles live at the boundary between the ImGui render loop and the pe
 
 ## Data Model
 
-### `WorkspaceProfile` (`src/models.py`)
+### `WorkspaceProfile` (defined in `src/workspace_manager.py`; moved out of `src/models.py` per `module_taxonomy_refactor_20260627`)
 
 A snapshot of window state at a moment in time.