feat(token-tracking): record AI token consumption per task (CUST-WP-0029)

Introduces end-to-end token consumption tracking so agent work is
visible as a cost/effort metric alongside tasks and workplans.

- Migration o2j3k4l5m6n7: token_events table with FK indexes on
  task_id, workstream_id, repo_id, created_at
- ORM model, Pydantic schemas (TokenEventCreate, TokenEventRead with
  computed tokens_total, TokenSummary)
- Router: POST /token-events/, GET /token-events/ (7 filters),
  GET /token-events/summary/ (task|workstream|repo|commit|release scope)
- MCP tools: record_token_event, get_token_summary (formatted table)
- update_task_status enriched with optional tokens_in/tokens_out
  passthrough — one call creates status update + token event
- Dashboard token-cost.md page: by-repo bar, by-workplan table,
  by-model bar, top-10 tasks by tokens
- ralph-workplan skill updated with token reporting guidance and
  per-task heuristics for estimating counts
- Tests: test_token_events.py + test_token_passthrough.py (182 pass)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

api/models/__init__.py

@@ -19,6 +19,7 @@ from api.models.capability_catalog import CapabilityCatalog
 from api.models.capability_request import CapabilityRequest
 from api.models.tpsc import TPSCCatalog, TPSCSnapshot, TPSCEntry
 from api.models.doi_cache import DOICache
+from api.models.token_event import TokenEvent
 
 __all__ = [
     "Base",
@@ -42,4 +43,5 @@ __all__ = [
     "CapabilityRequest",
     "TPSCCatalog", "TPSCSnapshot", "TPSCEntry",
     "DOICache",
+    "TokenEvent",
 ]