feat(ui): ✨ implement AI assistant system with full context awareness and tool execution

[Mirrowel]

Yes, i have committed a great sin.

This commit introduces a comprehensive AI assistant system for the Model Filter GUI, providing contextual help and automated configuration capabilities.

Core Components:

• AIAssistantCore: Orchestrates conversation sessions, tool execution, and checkpoint management
• LLMBridge: Bridges async RotatingClient with synchronous GUI thread using threading coordination
• CheckpointManager: Hybrid snapshot/delta system for undo capability with crash recovery
• ToolExecutor: Validates and executes window-specific tools with automatic retry logic
• WindowContextAdapter: Abstract interface for window integration with context extraction

UI Features:

• Pop-out chat window with streaming responses and collapsible thinking sections
• Model selector with provider grouping and reasoning effort configuration
• Checkpoint dropdown for rollback to previous states
• Virtual message list with user/AI messages, tool execution results, and error handling
• Multi-line input with keyboard shortcuts (Ctrl+Enter to send, Escape to cancel)

Model Filter Integration:

• 15 specialized tools for rule management (add/remove ignore/whitelist patterns)
• Query tools for pattern preview and model status explanation
• State management tools (save/discard changes, provider switching)
• Full context extraction with change tracking and diff detection
• Window locking during AI execution to prevent race conditions

Technical Implementation:

• Async/sync coordination using threading.Thread + asyncio.run()
• Streaming chunk processing with thinking/content separation
• Automatic checkpoint creation before write operations
• Silent retry logic (up to 4 attempts) for invalid tool calls
• Temp file persistence for checkpoint crash recovery
• Grid-based responsive layout with dynamic resizing

The assistant has complete visibility into window state, can execute multiple tools in sequence, maintains conversation history, and provides verbose feedback on all operations. Changes are non-destructive with full rollback capability.

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Important

Introduces a comprehensive AI assistant system for the Model Filter GUI, enhancing user interaction with contextual help and automated configuration capabilities.

• AI Assistant System:
  • Introduces AIAssistantCore, LLMBridge, CheckpointManager, ToolExecutor, and WindowContextAdapter for managing AI interactions and tool executions.
  • Implements ai_assistant directory with core logic, UI components, and adapters.
• UI Features:
  • Adds AIChatWindow for pop-out chat with streaming responses and tool execution results.
  • Includes model selector, checkpoint dropdown, and multi-line input with shortcuts.
• Model Filter Integration:
  • Integrates 15 specialized tools for rule management and state handling in model_filter.py.
  • Provides full context extraction and change tracking.
• Technical Implementation:
  • Utilizes threading and asyncio for async/sync coordination.
  • Implements checkpoint system with crash recovery and rollback capabilities.
• Miscellaneous:
  • Adds AI assistant button to model_filter_gui.py and binds it to open the assistant window.
  • Updates README.md with relevant information.

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