Refactor: move tool helper modules into _internal subpackage ...

Moves non-tool infrastructure out of navi/tools/ root so that only
actual tool classes live there:

  base.py           → _internal/base.py
  loader.py         → _internal/loader.py
  middleware.py     → _internal/middleware.py
  logging_middleware.py → _internal/logging_middleware.py
  _time_parser.py   → _internal/time_parser.py

All imports updated across core/, api/, mcp/, tools/, and tests/.
No proxy files remain in navi/tools/ root.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Add multi-user sandbox: filesystem, terminal, code_exec, security policy ...

- filesystem, share_file: sandbox non-admin users to user_data/<user_id>/
- terminal: working_dir sandbox + allowlist + dangerous pattern block for users
- code_exec: sandbox CWD and temp files to user_data/<user_id>/ for users
- context_builder: inject dynamic security policy into LLM context (user/admin)
- config: terminal_user_allowed_commands setting
- agent: wire user_id/user_role through ContextBuilder.build()
- base: add current_user_role ContextVar; run_ephemeral inherits role

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Wire self-extension tools into all profiles; improve tool descriptions ...

All profiles now include write_tool, list_tools, tool_manual, reload_tools.
User tools from enabled.json merged in at runtime via Agent._tool_list().
Built-in tool descriptions rewritten to be more LLM-actionable.

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

Initial implementation of the agent system core ...

- FastAPI server with REST API and WebSocket streaming
- Modular LLM backend abstraction (Ollama implemented, OpenAI stub)
- Tool system: web_search (ddgs), filesystem, http_request, code_exec, terminal
- Agent profiles: smart_home, server_admin, secretary
- Tool-calling loop with concurrent tool execution
- In-memory session store with SessionStore ABC for future persistence
- Registry pattern for tools, profiles, and backends
- Orchestrator stub as foundation for multi-agent scenarios