vastai-debug-bundle

What this skill does

# Vast.ai Debug Bundle

## Current State

!`vastai --version 2>/dev/null || echo 'vastai CLI not installed'`
!`python3 --version 2>/dev/null || echo 'Python not available'`

## Overview

Collect comprehensive diagnostic information for Vast.ai GPU instance issues. Covers account verification, instance inspection, log collection, GPU diagnostics, and network testing.

## Prerequisites

- Vast.ai CLI installed and authenticated
- Access to the problematic instance (if still running)

## Instructions

### Step 1: Account and Auth Diagnostics

```bash
#!/bin/bash
set -euo pipefail
echo "=== Vast.ai Debug Bundle ==="
echo "Timestamp: $(date -u +%Y-%m-%dT%H:%M:%SZ)"

echo -e "\n--- Account Info ---"
vastai show user --raw | python3 -c "
import sys, json
u = json.load(sys.stdin)
print(f'Username: {u.get(\"username\", \"?\")}')
print(f'Balance: \${u.get(\"balance\", 0):.2f}')
print(f'API Key (first 8): {u.get(\"api_key\", \"?\")[:8]}...')
"
```

### Step 2: Instance Status Collection

```bash
echo -e "\n--- All Instances ---"
vastai show instances --raw | python3 -c "
import sys, json
instances = json.load(sys.stdin)
for i in instances:
    print(f'ID: {i[\"id\"]} | Status: {i.get(\"actual_status\", \"?\")} | '
          f'GPU: {i.get(\"gpu_name\", \"?\")} | '
          f'\$/hr: {i.get(\"dph_total\", 0):.3f} | '
          f'SSH: {i.get(\"ssh_host\", \"?\")}:{i.get(\"ssh_port\", \"?\")}')
"
```

### Step 3: Instance Log Collection

```bash
# Collect logs from a specific instance
INSTANCE_ID="${1:-}"
if [ -n "$INSTANCE_ID" ]; then
    echo -e "\n--- Instance $INSTANCE_ID Logs ---"
    vastai logs "$INSTANCE_ID" --tail 100 2>/dev/null || echo "No logs available"

    echo -e "\n--- Instance $INSTANCE_ID Details ---"
    vastai show instance "$INSTANCE_ID" --raw | python3 -c "
import sys, json
i = json.load(sys.stdin)
for key in ['actual_status', 'status_msg', 'gpu_name', 'gpu_ram',
            'cuda_max_good', 'disk_space', 'ssh_host', 'ssh_port',
            'image_uuid', 'onstart', 'reliability2']:
    print(f'{key}: {i.get(key, \"?\")}')
"
fi
```

### Step 4: Remote GPU Diagnostics (if SSH accessible)

```bash
if [ -n "$SSH_HOST" ] && [ -n "$SSH_PORT" ]; then
    echo -e "\n--- GPU Diagnostics (remote) ---"
    ssh -p "$SSH_PORT" -o StrictHostKeyChecking=no "root@$SSH_HOST" << 'REMOTE'
nvidia-smi
echo "---"
nvidia-smi --query-gpu=name,memory.total,memory.used,temperature.gpu,utilization.gpu --format=csv
echo "---"
python3 -c "import torch; print(f'PyTorch CUDA: {torch.cuda.is_available()}, Device: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else \"N/A\"}')" 2>/dev/null || echo "PyTorch not available"
echo "---"
df -h /workspace
free -h
REMOTE
fi
```

### Step 5: Network Diagnostics

```bash
echo -e "\n--- API Connectivity ---"
curl -s -o /dev/null -w "HTTP %{http_code} in %{time_total}s" \
  -H "Authorization: Bearer $VASTAI_API_KEY" \
  "https://cloud.vast.ai/api/v0/users/current"
echo ""
```

## Output

- Account info (username, balance, key prefix)
- All instance statuses with GPU details
- Instance logs (last 100 lines)
- Remote GPU diagnostics (nvidia-smi, CUDA, disk, memory)
- API connectivity test

## Error Handling

| Issue | Diagnostic | Solution |
|-------|------------|----------|
| Instance shows `error` | Check `status_msg` in details | Destroy and reprovision on different host |
| SSH unreachable | Instance may still be loading | Wait for `running` status |
| GPU not detected | CUDA driver mismatch | Use image matching host CUDA version |
| Disk full | Check `df -h /workspace` | Increase disk or clean artifacts |

## Resources

- [Vast.ai CLI Reference](https://docs.vast.ai/cli/get-started)
- [vast-cli GitHub](https://github.com/vast-ai/vast-cli)

## Next Steps

For rate limit handling, see `vastai-rate-limits`.

## Examples

**Quick debug**: Run `vastai show instance ID --raw | jq '{actual_status, status_msg, gpu_name, ssh_host, ssh_port}'` for a one-line status summary.

**Support ticket**: Collect the full debug bundle output, include `vastai logs ID`, and attach `nvidia-smi` output from the instance.