- Added new contracts for intent interpretation, including InterpreterOutput and ResolverMode.
- Implemented deterministic intent resolver with clarity checks for ambiguous references and empty input.
- Developed LLM intent resolver that communicates with an external model, handling JSON responses and fallback clarifications.
- Created an interpretTurn function to manage intent resolution based on the selected resolver mode.
- Introduced validation for interpreter output to ensure integrity before processing actions.
- Established a turn manager to orchestrate turn processing, including action validation and world state mutation.
- Added integration tests to verify the functionality of the new intent resolution system.
Co-authored-by: Copilot <copilot@github.com>
- Added a new SceneRulebook system to manage data-driven validation rules for actions.
- Introduced rule checks for actions like "take", "open", "move", "introduce", and "describe".
- Created a rulebook engine to evaluate conditions and enforce rules during action validation.
- Enhanced action handling with support for scene entry and character descriptions.
- Updated the architecture documentation to reflect the new rule-based validation approach.
- Added new endpoints and improved the persistence layer for rulebooks.
