- 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>
- Add Fastify server in `app/src/index.ts` with health check and API routes for game state and turn processing.
- Create `latentEntities.ts` to handle personal item plausibility and promote beliefs to facts based on actor context.
- Introduce `llmAdapter.ts` for action extraction from prose input.
- Develop `truthEngine.ts` for pure validation logic, handling all verbs with explicit rejection reasons.
- Define new types in `types.ts` for facts, affordances, and latent entity requests/resolutions.
- Update `docker-compose.yml` for improved service structure and volume management.
- Create frontend structure with React, including Dockerfile, Vite configuration, and initial components for state inspection.
- Implement basic styles and HTML structure for the frontend application.
- Document current status and next steps in `thoughts.md`.
