feat(interpreter): implement hybrid intent resolution with LLM and deterministic fallback

- 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>

charactergarden/app/package.json

@@ -5,7 +5,8 @@
   "scripts": {
     "dev": "ts-node-dev --respawn --transpile-only src/index.ts",
     "build": "tsc",
-    "start": "node dist/index.js"
+    "start": "node dist/index.js",
+    "test:integration": "npm run build && node dist/tests/integrationRunner.js"
   },
   "dependencies": {
     "fastify": "^4.28.1",