- LLM progress indicator: animated status bar ('✦ LLM is weaving the
narrative ✦') with rotating dots, shown during processing, hidden on
completion. Disabled input shows 'LLM is thinking...' placeholder.
- Fix input not visible: added 'height: 1fr' to TabbedContent so the PLAY
tab and its input widget fill available vertical space.
- Replace @work(thread=True) with threading.Thread for reliable worker
execution across all environments (headless, test, TUI).
The game is now self-contained: run.sh starts the TUI, which calls the
LLM directly via engine.py. No external agent (OpenCode) needed.
- tools/engine.py: Game engine with prompt builder, litellm client,
response parser (JSON block extraction), and state persistence
- tools/run.py: Refactored TUI with PLAY/CHAR/LOG/BOOK tabs. PLAY tab
has streaming narrative pane, dynamic choice buttons, and text input.
Game loop: scene -> input -> resolve -> archive -> apply -> scene
- session/config.json: LLM provider configuration (model, api_key, etc.)
- AGENTS.md: Updated to document the new architecture
- tools/__init__.py: Package marker for clean imports
- session/turn_description.md, turn_reaction.md: Deprecated - no longer
needed now that the TUI drives the game loop internally
