refactor(consumers): migrate 85 'from src.models import' sites to direct subsystem imports

Per post_module_taxonomy_de_cruft_20260627 Phase 2 (FR7). Each
'from src.models import X' for a moved class is rewritten to
'from src.<destination> import X':

  Ticket, Track, WorkerContext, TrackState, TrackMetadata,
    ThinkingSegment, EMPTY_TRACK_STATE            -> src.mma
  ProjectContext, ProjectMeta, ProjectOutput, ProjectFiles,
    ProjectScreenshots, ProjectDiscussion, EMPTY_PROJECT_CONTEXT -> src.project
  FileItem, Preset, ContextPreset, ContextFileEntry,
    NamedViewPreset                                -> src.project_files
  Tool, ToolPreset                                 -> src.tool_presets
  BiasProfile                                      -> src.tool_bias
  TextEditorConfig, ExternalEditorConfig,
    EMPTY_TEXT_EDITOR_CONFIG                       -> src.external_editor
  Persona                                          -> src.personas
  WorkspaceProfile                                -> src.workspace_manager
  MCPServerConfig, MCPConfiguration, VectorStoreConfig,
    RAGConfig, load_mcp_config                      -> src.mcp_client

NOT touched (kept on src.models; Phase 3 or Phase 4 will move them):
  GenerateRequest, ConfirmRequest, DEFAULT_TOOL_CATEGORIES, Metadata, PROVIDERS

Migration was performed by the one-time script
scripts/tier2/artifacts/post_module_taxonomy_de_cruft_20260627/migrate_imports.py
which uses a class-to-module map and re.sub() to rewrite each
'from src.models import X' line.

Total: 85 import lines rewritten across 71 files.

Note: this commit depends on the v2 SHIPPED work
(origin/tier2/module_taxonomy_refactor_20260627) being merged into
this branch NEXT. On master (without the v2 SHIPPED commits), the
destination modules do not exist and these imports would fail.

src/ai_client.py

@@ -49,7 +49,9 @@ from src.vendor_capabilities import VendorCapabilities, get_capabilities
 # TODO(Ed): Eliminate these?
 from src.events             import EventEmitter
 from src.gemini_cli_adapter import GeminiCliAdapter
-from src.models             import FileItem, ToolPreset, BiasProfile, Tool
+from src.project_files import FileItem
+from src.tool_bias import BiasProfile
+from src.tool_presets import ToolPreset, Tool
 from src.paths              import get_credentials_path
 from src.tool_bias          import ToolBiasEngine
 from src.tool_presets       import ToolPresetManager
@@ -2561,7 +2563,7 @@ def _send_grok(md_content: str, user_message: str, base_dir: str,
    if file_items:
     for fi in file_items:
      if fi.get("is_image") and fi.get("base64_data"):
-      from src.models import FileItem as _FIC
+      from src.project_files import FileItem as _FIC
       fi_item = fi if isinstance(fi, _FIC) else _FIC.from_dict(fi)
       user_content = f"[IMAGE: {fi_item.path or 'attachment'}]\n{user_content}"
    if discussion_history and not history:
@@ -2805,7 +2807,7 @@ def _send_qwen(md_content: str, user_message: str, base_dir: str,
    if file_items:
     for fi in file_items:
      if fi.get("is_image") and fi.get("base64_data"):
-      from src.models import FileItem as _FIC
+      from src.project_files import FileItem as _FIC
       fi_item = fi if isinstance(fi, _FIC) else _FIC.from_dict(fi)
       user_content = f"[IMAGE: {fi_item.path or 'attachment'}]\n{user_content}"
    if discussion_history and not history:
@@ -2898,7 +2900,7 @@ def _send_llama(md_content: str, user_message: str, base_dir: str,
    if file_items:
     for fi in file_items:
      if fi.get("is_image") and fi.get("base64_data"):
-      from src.models import FileItem as _FIC
+      from src.project_files import FileItem as _FIC
       fi_item = fi if isinstance(fi, _FIC) else _FIC.from_dict(fi)
       user_content = f"[IMAGE: {fi_item.path or 'attachment'}]\n{user_content}"
    if discussion_history and not history:

src/conductor_tech_lead.py

@@ -101,7 +101,7 @@ def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict[str,
   ai_client.set_current_tier(None)
 
 from src.dag_engine import TrackDAG
-from src.models     import Ticket
+from src.mma import Ticket
 from src.result_types import ErrorInfo, ErrorKind, Result
 
 def topological_sort(tickets: list[Ticket]) -> list[Ticket]:

src/context_presets.py

@@ -1,6 +1,6 @@
 from typing import Dict, Any
 
-from src.models import ContextPreset
+from src.project_files import ContextPreset
 from src.result_types import Result, ErrorInfo, ErrorKind
 
 

src/dag_engine.py

@@ -28,7 +28,7 @@ See Also:
 """
 from typing import List
 
-from src.models import Ticket
+from src.mma import Ticket
 from src.performance_monitor import get_monitor
 
 

src/external_editor.py

@@ -9,7 +9,7 @@ import tempfile
 from pathlib import Path
 from typing  import Optional, List, Dict, Any
 
-from src.models import ExternalEditorConfig, TextEditorConfig
+from src.external_editor import ExternalEditorConfig, TextEditorConfig
 from src.result_types import ErrorInfo, ErrorKind, Result
 
 
@@ -24,7 +24,7 @@ class ExternalEditorLauncher:
   """
   [C: tests/test_external_editor.py:TestExternalEditorLauncher.test_get_editor_by_name, tests/test_external_editor.py:TestExternalEditorLauncher.test_get_editor_returns_default, tests/test_external_editor.py:TestExternalEditorLauncher.test_get_editor_unknown_name]
   """
-  from src.models import EMPTY_TEXT_EDITOR_CONFIG
+  from src.external_editor import EMPTY_TEXT_EDITOR_CONFIG
   if editor_name:
    return self.config.editors.get(editor_name) or EMPTY_TEXT_EDITOR_CONFIG
   return self.config.get_default()
@@ -96,7 +96,7 @@ def _find_vscode_common_paths() -> str:
 
 
 def auto_detect_vscode() -> TextEditorConfig:
- from src.models import EMPTY_TEXT_EDITOR_CONFIG
+ from src.external_editor import EMPTY_TEXT_EDITOR_CONFIG
  global _cached_vscode_config
  if _cached_vscode_config is not None:
   return _cached_vscode_config

src/multi_agent_conductor.py

@@ -44,7 +44,7 @@ from src import paths
 from src import summarize
 
 from src.dag_engine import TrackDAG, ExecutionEngine
-from src.models import Ticket, Track, WorkerContext
+from src.mma import Ticket, Track, WorkerContext
 from src.personas import PersonaManager
 from src.result_types import ErrorInfo, ErrorKind, Result
 

src/orchestrator_pm.py

@@ -8,7 +8,7 @@ from src import ai_client
 from src import mma_prompts
 from src import paths
 from src import summarize
-from src.models import FileItem
+from src.project_files import FileItem
 from src.result_types import Result, ErrorInfo, ErrorKind
 from src.type_aliases import Metadata
 

src/personas.py

@@ -4,7 +4,7 @@ import tomli_w
 from pathlib import Path
 from typing  import Dict, Any, Optional
 
-from src.models import Persona
+from src.personas import Persona
 from src        import paths
 
 class PersonaManager:

src/presets.py

@@ -5,7 +5,7 @@ import tomli_w
 from pathlib import Path
 from typing  import Dict, Any, Optional
 
-from src.models import Preset
+from src.project_files import Preset
 from src.paths  import get_global_presets_path, get_project_presets_path
 from src.result_types import ErrorInfo, ErrorKind, Result
 

src/project_manager.py

@@ -32,7 +32,7 @@ from src.type_aliases import (
 )
 
 if TYPE_CHECKING:
- from src.models import TrackState
+ from src.mma import TrackState
 
 TS_FMT: str = "%Y-%m-%dT%H:%M:%S"
 
@@ -270,7 +270,7 @@ def flat_config(proj: Metadata, disc_name: Optional[str] = None, track_id: Optio
  The returned dataclass supports dict-compat (__getitem__ / get) so
  existing consumers using .get() and [] continue to work unchanged
  (Phase 2 Option A per SPEC_CORRECTION_phase_2.md)."""
- from src.models import ProjectContext, ProjectMeta, ProjectOutput, ProjectFiles, ProjectScreenshots, ProjectDiscussion
+ from src.project import ProjectContext, ProjectMeta, ProjectOutput, ProjectFiles, ProjectScreenshots, ProjectDiscussion
  disc_sec = proj.get("discussion", {})
  if track_id:
   history = load_track_history(track_id, proj.get("files", {}).get("base_dir", "."))
@@ -321,7 +321,7 @@ def load_track_state(track_id: str, base_dir: Union[str, Path] = ".") -> "TrackS
  Returns empty TrackState (zero-init) if not found.
  [C: tests/test_track_state_persistence.py:test_track_state_persistence]
  """
- from src.models import TrackState, EMPTY_TRACK_STATE
+ from src.mma import TrackState, EMPTY_TRACK_STATE
  state_file = paths.get_track_state_dir(track_id, project_path=str(base_dir)) / 'state.toml'
  if not state_file.exists(): return EMPTY_TRACK_STATE
  try:

src/thinking_parser.py

@@ -2,7 +2,7 @@ import re
 
 from typing import List, Tuple
 
-from src.models import ThinkingSegment
+from src.mma import ThinkingSegment
 
 
 def parse_thinking_trace(text: str) -> Tuple[List[ThinkingSegment], str]:

src/tool_bias.py

@@ -1,6 +1,8 @@
 from typing import List, Dict, Any, Optional
 
-from src.models import Tool, ToolPreset, BiasProfile
+from src.tool_bias import BiasProfile
+
+from src.tool_presets import Tool, ToolPreset
 
 
 class ToolBiasEngine:

src/tool_presets.py

@@ -5,7 +5,8 @@ from pathlib import Path
 from typing  import Dict, List, Optional, Union, Any
 
 from src        import paths
-from src.models import ToolPreset, BiasProfile
+from src.tool_bias import BiasProfile
+from src.tool_presets import ToolPreset
 
 
 class ToolPresetManager:

src/workspace_manager.py

@@ -4,7 +4,7 @@ import tomli_w
 from pathlib import Path
 from typing  import Dict, Any, Optional, Union
 
-from src.models import WorkspaceProfile
+from src.workspace_manager import WorkspaceProfile
 from src        import paths