feat(mesh): proactive session cleanup algorithm

feat(mesh): implement Phase 6 Rich Health Metrics ...

- Enhanced agent-node to collect per-core CPU, frequency, available RAM, and load avg.
- Updated gRPC server to ingest and propagate rich health metrics via heartbeats.
- Updated Pydantic schemas to expose rich metrics in REST and WebSocket snapshots.
- Fixed UI tooltips in NodesPage.js to pop downwards and show detailed statistics.
- Fixed RegistrationResponse field mismatch (message -> error_message).
- Updated feature documentation for Agent Node Mesh.

Regenerate gRPC protos with task_id support

fix(grpc): fix relative imports in generated protos

feat(nodes): integrate live health into management tab and add unit-based hover tooltips

fix(hub): regenerate Hub protos with app prefix for correct imports in container

fix(protos): regenerate Hub and Agent protos from project roots for absolute imports

Integrated FileSystemNavigator for Agent Node Mesh

feat(terminal): overhaul with xterm.js, raw TTY streaming, and dynamic resizing ...

- Replaced simulated terminal with xterm.js for native emulation
- Implemented raw TTY byte streaming over WebSockets
- Added support for persistent shell sessions and window resizing (ioctl TIOCSWINSZ)
- Improved SkillManager with a transparent TTY bypass to prevent thread pool saturation
- Added periodic heartbeat-based latency monitoring (RTT)
- Fixed skill_config parsing crash in AI Hub registry
- Enabled auto-scrolling and terminal-to-PTY grid synchronization

feat: implement real-time node monitoring and workspace initialization strategies

feat(M6): fully integrate gRPC Agent Orchestrator into AI Hub backend, update deployment, and scale multi-node monitoring