# Option 1 Implementation - Complete

## What Was Done

Implemented the clean state machine approach to handle max-retries with user intervention.

### Changes Made

#### 1. SSH Proxy (`ssh-proxy/agent.ts`)

**Status type updated:**
- Added `'paused_for_user_action'` to the status union type in `BanditState` annotation

**validateResult function:**
- Changed `status: 'failed'` → `status: 'paused_for_user_action'` when max retries is reached (2 locations)
- The agent now pauses instead of failing, allowing the graph to end cleanly

**shouldContinue routing:**
- Added `state.status === 'paused_for_user_action'` to the END conditions
- This prevents the agent from continuing when waiting for user action

#### 2. Frontend Type Definitions (`bandit-runner-app/src/lib/agents/bandit-state.ts`)

- Added `'paused_for_user_action'` to the `BanditAgentState.status` union type
- Ensures TypeScript recognizes this as a valid status throughout the app

#### 3. Durable Object (`bandit-runner-app/src/lib/durable-objects/BanditAgentDO.ts`)

**Early detection in stream processing:**
- In `runAgentViaProxy()`, before broadcasting events, check if `event.type === 'node_update'` and `event.data.status === 'paused_for_user_action'`
- When detected, immediately emit `user_action_required` event with:
  - `reason: 'max_retries'`
  - Current level, retry count, max retries
  - Error message
- Update DO state to `'paused'` and stop the run
- This happens BEFORE the event stream ends, ensuring the modal triggers

**Cleaned up old detection:**
- Removed the error message parsing from `updateStateFromEvent()`
- The new approach is more reliable because it's based on explicit state, not string matching

## Why This Works

1. **Agent explicitly signals the need for user action** via a dedicated status
2. **DO detects this early in the event stream** and emits the UI event immediately
3. **No race conditions** with `run_complete` because the agent graph ends cleanly with the `paused_for_user_action` status
4. **State machine is explicit** - no guessing or string parsing

## Testing Instructions

### Prerequisites
You need to deploy the SSH proxy with the updated agent code:
```bash
cd ssh-proxy
npm run build
fly deploy  # or flyctl deploy
```

### Test Flow
1. Navigate to https://bandit-runner-app.nicholaivogelfilms.workers.dev/
2. Start a run with GPT-4o Mini, target level 5
3. Wait for Level 1 to hit max retries (~30-60 seconds)
4. **Expected Result**: Modal appears with "Max Retries Reached" and three options:
   - Stop
   - Intervene (Manual Mode)
   - Continue
5. Click "Continue" → retry count should reset, agent should resume from Level 1
6. Verify in browser DevTools console:
   - Look for: `🚨 DO: Detected paused_for_user_action, emitting user_action_required:`
   - Look for: `📨 WebSocket message received: {"type":"user_action_required"...`
   - Look for: `🚨 Max-Retries Modal triggered`

## Deployment Status

✅ **Cloudflare Worker/DO**: Deployed (Version ID: 32e6badd-1f4d-4f34-90c8-7620db0e8a5e)  
⏳ **SSH Proxy**: **NOT DEPLOYED** - you need to run `fly deploy` in the `ssh-proxy` directory

## Important Notes

- The Cloudflare Worker is already deployed and ready
- **The SSH proxy MUST be deployed** for the fix to work, because the `paused_for_user_action` status is generated there
- Until the SSH proxy is deployed, the old behavior will persist (agent fails at max retries without modal)
- The modal UI code was already implemented in the previous iteration and is working

## Files Modified

1. `/home/Nicholai/Documents/Dev/bandit-runner/ssh-proxy/agent.ts`
2. `/home/Nicholai/Documents/Dev/bandit-runner/bandit-runner-app/src/lib/agents/bandit-state.ts`
3. `/home/Nicholai/Documents/Dev/bandit-runner/bandit-runner-app/src/lib/durable-objects/BanditAgentDO.ts`

## Next Steps

1. Deploy the SSH proxy: `cd ssh-proxy && fly deploy`
2. Test the max-retries flow end-to-end
3. Verify the modal appears and Continue button works as expected