# Implementation Plan - [ ] 1. Implement streaming response infrastructure - Create StreamingHandler class in new file `streaming_handler.py` with token buffering, UI update methods, and stream state management - Add `_handle_stream_token()` method to SidebarWindow that uses GLib.idle_add for thread-safe UI updates - Implement token buffering logic (accumulate 3-5 tokens before UI update) to reduce overhead - _Requirements: 1.1, 1.2, 1.3, 1.4_ - [ ] 2. Integrate streaming into SidebarWindow - Modify `_request_response()` to use `ollama_client.stream_chat()` instead of blocking `chat()` - Update worker thread to iterate over stream and call `_handle_stream_token()` for each chunk - Add streaming state indicator (visual feedback during generation) - Handle stream errors and interruptions gracefully with try-except blocks - _Requirements: 1.1, 1.2, 1.3, 1.4_ - [ ] 3. Replace single-line Entry with multi-line TextView - Replace `Gtk.Entry` with `Gtk.TextView` wrapped in `Gtk.ScrolledWindow` in `_build_ui()` - Configure text view with word wrapping, min height 40px, max height 200px - Implement key event controller to handle Enter (submit) vs Shift+Enter (newline) - Add placeholder text handling for empty buffer state - Update `_on_submit()` to extract text from TextView buffer instead of Entry - _Requirements: 2.1, 2.2, 2.3, 2.4_ - [ ] 4. Create command processing system - Create `command_processor.py` with CommandProcessor class - Implement command parsing logic with `is_command()` and `execute()` methods - Define CommandResult dataclass for structured command responses - Add command registry dictionary mapping command strings to handler methods - _Requirements: 3.1, 3.2, 3.3, 3.4, 3.5_ - [ ] 5. Implement conversation management commands - [ ] 5.1 Implement `/new` and `/clear` commands - Add `_cmd_new_conversation()` method to save current conversation and reset to fresh state - Clear message list UI and show confirmation message - _Requirements: 3.1, 3.2_ - [ ] 5.2 Implement `/models` command - Add `_cmd_list_models()` method to query and display available models - Format model list with current model highlighted - _Requirements: 3.3_ - [ ] 5.3 Implement `/model` command - Add `_cmd_switch_model()` method to validate and switch active model - Update model label in header UI - _Requirements: 3.4_ - [ ] 5.4 Integrate CommandProcessor into SidebarWindow - Add CommandProcessor instance to SidebarWindow initialization - Modify `_on_submit()` to check for commands before processing as user message - Display command results as system messages with distinct styling - _Requirements: 3.5_ - [ ] 6. Implement conversation archive system - [ ] 6.1 Create ConversationArchive class - Create `conversation_archive.py` with ConversationArchive class - Implement `list_conversations()` to scan storage directory and return metadata - Implement `archive_conversation()` to save with timestamp-based ID format - Implement `generate_archive_id()` using YYYYMMDD_HHMMSS_hash pattern - Define ConversationMetadata dataclass - _Requirements: 4.1, 4.2_ - [ ] 6.2 Implement conversation loading - Add `load_conversation()` method to ConversationArchive - Handle JSON parsing errors and missing files gracefully - Return ConversationState compatible with existing ConversationManager - _Requirements: 4.4_ - [ ] 6.3 Implement `/list` and `/resume` commands - Add `_cmd_list_conversations()` to display archived conversations with metadata - Add `_cmd_resume_conversation()` to load and display selected conversation - Update SidebarWindow to repopulate message list from loaded conversation - _Requirements: 4.3, 4.4, 4.5_ - [ ] 7. Implement reasoning mode toggle - [ ] 7.1 Create ReasoningController class - Create `reasoning_controller.py` with ReasoningController class - Implement preference persistence to `~/.config/aisidebar/preferences.json` - Add `toggle()`, `is_enabled()`, and `get_chat_options()` methods - Define PreferencesState dataclass - _Requirements: 5.4_ - [ ] 7.2 Add reasoning toggle UI - Add ToggleButton to header area in `_build_ui()` - Connect toggle signal to `_on_reasoning_toggled()` callback - Update button state from persisted preference on startup - _Requirements: 5.1_ - [ ] 7.3 Integrate reasoning mode with Ollama calls - Modify `_request_response()` to include reasoning options when enabled - Pass model-specific parameters via `get_chat_options()` - Handle both streaming and non-streaming modes with reasoning - _Requirements: 5.2, 5.3_ - [ ] 7.4 Implement reasoning content formatting - Add visual distinction for reasoning content (italic, gray text, or expandable section) - Separate reasoning from final answer with visual divider - Update message rendering to handle reasoning metadata - _Requirements: 5.5_ - [ ] 8. Add error handling and edge cases - Implement stream timeout handling (60s limit) with cancellation - Add connection error recovery for streaming failures - Handle command execution during active streaming - Add validation for conversation archive file corruption - Implement graceful degradation for missing preferences file - _Requirements: 1.4, 3.5, 4.3, 4.4_ - [ ] 9. Polish and integration - Add CSS styling for system messages, reasoning content, and streaming indicator - Implement `/help` command to display available commands - Add visual feedback for command execution (loading states) - Ensure all UI updates maintain smooth scrolling behavior - Test keyboard focus management across all new widgets - _Requirements: 1.3, 2.3, 3.5, 5.5_