Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/vastai-debug-bundle/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-debug-bundle. Copyright stays with the author (MIT).

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

#!/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

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

# 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)

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

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

Resources

• Vast.ai CLI Reference
• vast-cli GitHub

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.