feat(intelligent-eval): add backend for OpenClaw-driven intelligent evaluation (tickets 01-04)
Introduce 智能评估 as an evaluation paradigm parallel to static evaluation,
driven by OpenClaw. The platform supplies storage, lifecycle, and reporting;
OpenClaw plans and executes.
- Data model: IntelligentEval + Session + Message tables (new, not reusing exploration)
- Lifecycle state machine: draft → planning → pending_approval → executing → completed/cancelled/failed
- Session API: create/message (channel-forwarded)/close with turn accounting
- Report API: pydantic-validated structured report, executing → completed, Markdown export (pure renderer)
- Alembic migration for the three tables; domain glossary added to CONTEXT.md
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