# SupportOps Arena - Task Management

## Project Overview
Building an OpenEnv-compliant RL environment for enterprise IT support simulation.

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## Phase 1: Project Foundation & Structure
**Status**: ✅ Complete

### Tasks:
- [x] Create directory structure (env/, adversary/, graders/, baseline/, tests/, app/)
- [x] Setup requirements.txt with all dependencies
- [x] Create .env.example file
- [x] Setup basic __init__.py files

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## Phase 2: Core Pydantic Models
**Status**: ✅ Complete

### Tasks:
- [x] Create env/state.py with all Pydantic v2 models
- [x] Define enums (NetworkStatus, VPNStatus, AuthStatus, etc.)
- [x] Define sub-models (UserContext, LogEntry, ActionRecord)
- [x] Define core models (EnvObservation, HiddenState, EnvState, StepResult)

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## Phase 3: Action System
**Status**: ⏳ Pending

### Tasks:
- [ ] Create env/actions.py with ActionType enum (all 15 actions)
- [ ] Define ActionMetadata dataclass
- [ ] Create ACTION_METADATA dictionary with all action specifications

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## Phase 4: Scenarios & Task Definitions
**Status**: ⏳ Pending

### Tasks:
- [ ] Create env/scenarios.py with TicketGenerator class
- [ ] Define TASK_EASY_ROOT_CAUSES (6+ scenarios)
- [ ] Define TASK_MEDIUM_ROOT_CAUSES (6+ scenarios)
- [ ] Define TASK_HARD_ROOT_CAUSES (6+ scenarios)
- [ ] Implement ticket generation logic with noise/misleading entries

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## Phase 5: Rewards System
**Status**: ⏳ Pending

### Tasks:
- [ ] Create env/rewards.py with REWARD_EVENTS dictionary
- [ ] Implement RewardCalculator class
- [ ] Implement reward calculation logic with breakdown
- [ ] Add normalization logic for episode scores

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## Phase 6: State Machine & Transitions
**Status**: ⏳ Pending

### Tasks:
- [ ] Create env/transitions.py with StateMachine class
- [ ] Implement transition() method with all precondition rules
- [ ] Implement observation updates for each action type
- [ ] Add noise model for inspect_logs
- [ ] Add escalation unlock logic

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## Phase 7: Core Environment
**Status**: ⏳ Pending

### Tasks:
- [ ] Create env/environment.py with SupportOpsArena class
- [ ] Implement async reset() method
- [ ] Implement async step() method with full logic
- [ ] Implement async state() method
- [ ] Add episode termination logic
- [ ] Integrate with all other modules

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## Phase 8: Adaptive Adversary
**Status**: ⏳ Pending

### Tasks:
- [ ] Create adversary/policy_tracker.py with PolicyTracker class
- [ ] Create adversary/adversary.py with AdaptiveAdversary class
- [ ] Implement policy weak-point detection
- [ ] Implement sampling weight adjustment
- [ ] Add cross-episode tracking

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## Phase 9: Grading System
**Status**: ⏳ Pending

### Tasks:
- [ ] Create graders/programmatic.py with ProgrammaticGrader
- [ ] Create graders/llm_grader.py with LLMGrader (async)
- [ ] Create graders/adversarial_grader.py with AdversarialGrader
- [ ] Implement grading logic for all three types
- [ ] Add LLM-based quality assessment

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## Phase 10: Baseline Agent
**Status**: ⏳ Pending

### Tasks:
- [ ] Create baseline/baseline_agent.py with BaselineAgent class
- [ ] Implement rule-based heuristic logic
- [ ] Add support for all action types
- [ ] Implement diagnostic → remediation flow

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## Phase 11: FastAPI Server
**Status**: ⏳ Pending

### Tasks:
- [ ] Create app/server.py with FastAPI app
- [ ] Implement /api/openenv/v1/env/reset endpoint
- [ ] Implement /api/openenv/v1/env/step endpoint
- [ ] Implement /api/openenv/v1/env/state endpoint (auth required)
- [ ] Implement /api/openenv/v1/metrics endpoint
- [ ] Add health check endpoint /health
- [ ] Add static file serving for frontend

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## Phase 12: Frontend Dashboard
**Status**: ⏳ Pending

### Tasks:
- [ ] Create app/static/index.html
- [ ] Implement episode controls UI
- [ ] Implement live observation display
- [ ] Implement action history table
- [ ] Implement reward tracking chart
- [ ] Add metrics visualization
- [ ] Apply glassmorphism design system

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## Phase 13: Configuration Files
**Status**: ⏳ Pending

### Tasks:
- [ ] Create openenv.yaml with full metadata
- [ ] Create Dockerfile (multi-stage if needed)
- [ ] Verify Docker build and run commands

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## Phase 14: Inference Script
**Status**: ⏳ Pending

### Tasks:
- [ ] Create inference.py at root level
- [ ] Implement episode runner logic
- [ ] Add metric calculation and reporting
- [ ] Support multiple episodes with different seeds

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## Phase 15: Testing Suite
**Status**: ⏳ Pending

### Tasks:
- [ ] Create tests/conftest.py with fixtures
- [ ] Create tests/test_env.py with environment tests
- [ ] Create tests/test_graders.py with grader tests
- [ ] Create tests/test_transitions.py with state machine tests
- [ ] Create tests/test_adversary.py with adversary tests
- [ ] Ensure all tests pass with pytest

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## Phase 16: Documentation
**Status**: ⏳ Pending

### Tasks:
- [ ] Create comprehensive README.md
- [ ] Add quickstart guide
- [ ] Document API endpoints
- [ ] Add task examples with difficulty levels
- [ ] Include environment details and metrics
- [ ] Add troubleshooting section

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## Phase 17: Final Validation
**Status**: ⏳ Pending

### Tasks:
- [ ] Run full test suite
- [ ] Test Docker build and deployment
- [ ] Verify all endpoints work
- [ ] Test baseline agent performance
- [ ] Validate OpenEnv compliance
- [ ] Check Hugging Face Spaces compatibility
- [ ] Complete pre-submission checklist

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## Notes
- Follow PRD.md strictly for all specifications
- Use Pydantic v2 syntax exclusively
- All async code properly implemented
- No hardcoded credentials
- Proper error handling throughout