Fix: Correct import paths and env factory pattern

- app.py: Import from space_app instead of broken claims_env.server.app
- server/app.py: Pass ClaimsEnvironment class, not instance

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

app.py

@@ -2,10 +2,10 @@
 HuggingFace Spaces Entry Point
 
 This file is the entry point for HuggingFace Spaces deployment.
-It re-exports the app from server/app.py.
+Re-exports the app from space_app.py.
 """
 
-from claims_env.server.app import app
+# Import directly from space_app which has correct imports
+from space_app import app
 
-# This is what HF Spaces will run
 __all__ = ["app"]

server/app.py

@@ -15,11 +15,9 @@ except ImportError:
     from models import ClaimsAction, ClaimsObservation
     from server.claims_environment import ClaimsEnvironment
 
-# Create environment instance
-env = ClaimsEnvironment()
-
 # Create FastAPI app using OpenEnv helper
-app = create_fastapi_app(env, ClaimsAction, ClaimsObservation)
+# Note: Pass the CLASS, not an instance (OpenEnv creates instances per session)
+app = create_fastapi_app(ClaimsEnvironment, ClaimsAction, ClaimsObservation)
 
 
 # Add custom endpoints for environment info

tasks/todo.md

@@ -0,0 +1,67 @@
+# OpenEnv Hackathon - Insurance Claims RL Environment
+
+## Status: Local Testing Complete, HF Space Deploying
+
+### Completed
+- [x] Environment design (10 actions, 8 scenarios, partial observability)
+- [x] Pydantic models (ClaimsAction, ClaimsObservation, ClaimsState)
+- [x] Mock systems (PolicyDB, ClaimsHistoryDB, FraudAPI, DocumentSystem, PayoutCalculator)
+- [x] Plaid integration for transaction verification
+- [x] Multi-component reward function (+10 correct, +5 fraud caught, -10 fraud missed)
+- [x] Local server testing via WebSocket (WORKING)
+- [x] GitHub repo: https://github.com/pramodmisra/claims-env-hackathon
+- [x] Training notebook updated with WebSocket protocol
+- [x] Demo script created (demo_claims.py)
+- [x] PITCH.md prepared with 3-minute script
+
+### In Progress
+- [ ] HF Space: https://huggingface.co/spaces/pramodmisra/claims-env (STATUS: APP_STARTING)
+
+### Pending (User Action Required)
+- [ ] Run training notebook on Colab Pro (requires GPU)
+- [ ] Save reward_curves.png from training
+- [ ] Record 1-minute YouTube demo video
+- [ ] Submit to hackathon portal: https://openenv-hackathon.devpost.com
+- [ ] Deadline: Sunday 1PM Pacific
+
+## Key Finding: OpenEnv Session Management
+
+**Important**: OpenEnv's REST endpoints (`/reset`, `/step`) are **stateless** - each request creates a new environment instance.
+
+For stateful multi-step episodes, use **WebSocket** connection to `/ws`:
+```python
+async with websockets.connect("wss://your-space.hf.space/ws") as ws:
+    await ws.send('{"type": "reset", "data": {}}')
+    response = await ws.recv()
+    # ... process claim ...
+    await ws.send('{"type": "step", "data": {"action_type": "query_policy"}}')
+```
+
+## Test Commands
+
+### Local Server
+```bash
+cd /Users/pramodmisra/Claude/openenv-hackathon/claims_env
+python3 -m uvicorn space_app:app --port 7860 --host 127.0.0.1
+
+# In another terminal:
+python3 demo_claims.py
+```
+
+### HF Space (when ready)
+```bash
+# Test via WebSocket
+python3 -c "
+import asyncio, websockets, json
+async def test():
+    async with websockets.connect('wss://pramodmisra-claims-env.hf.space/ws') as ws:
+        await ws.send(json.dumps({'type': 'reset', 'data': {}}))
+        print(await ws.recv())
+asyncio.run(test())
+"
+```
+
+## Links
+- **GitHub**: https://github.com/pramodmisra/claims-env-hackathon
+- **HF Space**: https://huggingface.co/spaces/pramodmisra/claims-env
+- **Problem Statement**: 3.1 Professional Tasks + Scaler AI Labs