97 lines
3.9 KiB
Markdown
97 lines
3.9 KiB
Markdown
# Option 1 Implementation - Complete
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## What Was Done
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Implemented the clean state machine approach to handle max-retries with user intervention.
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### Changes Made
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#### 1. SSH Proxy (`ssh-proxy/agent.ts`)
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**Status type updated:**
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- Added `'paused_for_user_action'` to the status union type in `BanditState` annotation
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**validateResult function:**
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- Changed `status: 'failed'` → `status: 'paused_for_user_action'` when max retries is reached (2 locations)
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- The agent now pauses instead of failing, allowing the graph to end cleanly
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**shouldContinue routing:**
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- Added `state.status === 'paused_for_user_action'` to the END conditions
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- This prevents the agent from continuing when waiting for user action
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#### 2. Frontend Type Definitions (`bandit-runner-app/src/lib/agents/bandit-state.ts`)
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- Added `'paused_for_user_action'` to the `BanditAgentState.status` union type
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- Ensures TypeScript recognizes this as a valid status throughout the app
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#### 3. Durable Object (`bandit-runner-app/src/lib/durable-objects/BanditAgentDO.ts`)
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**Early detection in stream processing:**
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- In `runAgentViaProxy()`, before broadcasting events, check if `event.type === 'node_update'` and `event.data.status === 'paused_for_user_action'`
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- When detected, immediately emit `user_action_required` event with:
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- `reason: 'max_retries'`
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- Current level, retry count, max retries
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- Error message
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- Update DO state to `'paused'` and stop the run
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- This happens BEFORE the event stream ends, ensuring the modal triggers
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**Cleaned up old detection:**
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- Removed the error message parsing from `updateStateFromEvent()`
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- The new approach is more reliable because it's based on explicit state, not string matching
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## Why This Works
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1. **Agent explicitly signals the need for user action** via a dedicated status
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2. **DO detects this early in the event stream** and emits the UI event immediately
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3. **No race conditions** with `run_complete` because the agent graph ends cleanly with the `paused_for_user_action` status
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4. **State machine is explicit** - no guessing or string parsing
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## Testing Instructions
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### Prerequisites
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You need to deploy the SSH proxy with the updated agent code:
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```bash
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cd ssh-proxy
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npm run build
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fly deploy # or flyctl deploy
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```
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### Test Flow
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1. Navigate to https://bandit-runner-app.nicholaivogelfilms.workers.dev/
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2. Start a run with GPT-4o Mini, target level 5
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3. Wait for Level 1 to hit max retries (~30-60 seconds)
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4. **Expected Result**: Modal appears with "Max Retries Reached" and three options:
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- Stop
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- Intervene (Manual Mode)
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- Continue
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5. Click "Continue" → retry count should reset, agent should resume from Level 1
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6. Verify in browser DevTools console:
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- Look for: `🚨 DO: Detected paused_for_user_action, emitting user_action_required:`
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- Look for: `📨 WebSocket message received: {"type":"user_action_required"...`
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- Look for: `🚨 Max-Retries Modal triggered`
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## Deployment Status
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✅ **Cloudflare Worker/DO**: Deployed (Version ID: 32e6badd-1f4d-4f34-90c8-7620db0e8a5e)
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⏳ **SSH Proxy**: **NOT DEPLOYED** - you need to run `fly deploy` in the `ssh-proxy` directory
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## Important Notes
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- The Cloudflare Worker is already deployed and ready
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- **The SSH proxy MUST be deployed** for the fix to work, because the `paused_for_user_action` status is generated there
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- Until the SSH proxy is deployed, the old behavior will persist (agent fails at max retries without modal)
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- The modal UI code was already implemented in the previous iteration and is working
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## Files Modified
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1. `/home/Nicholai/Documents/Dev/bandit-runner/ssh-proxy/agent.ts`
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2. `/home/Nicholai/Documents/Dev/bandit-runner/bandit-runner-app/src/lib/agents/bandit-state.ts`
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3. `/home/Nicholai/Documents/Dev/bandit-runner/bandit-runner-app/src/lib/durable-objects/BanditAgentDO.ts`
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## Next Steps
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1. Deploy the SSH proxy: `cd ssh-proxy && fly deploy`
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2. Test the max-retries flow end-to-end
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3. Verify the modal appears and Continue button works as expected
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