EnvForge CLI Diagnostic Agent — inspect your ML environment
Project description
envforge-agent
Standalone CLI diagnostic agent for the EnvForge platform.
Inspects your local ML environment and reports what's installed, what's compatible, and what's broken — without requiring a network connection.
Install
pip install envforge-agent
Commands
# Inspect your environment (output to terminal)
envforge diagnose
# Save report to JSON file
envforge diagnose --output report.json
# Send report to EnvForge API for compatibility analysis
envforge diagnose --send --api-url https://api.envforge.dev
# Check if a specific profile is compatible with your system
envforge verify --profile pytorch-cuda
# Generate a repair script from a saved diagnostic report
envforge fix --report report.json
What it detects
| Category | Details |
|---|---|
| OS | Name, version, architecture, WSL version |
| CPU | Brand, physical cores, logical threads |
| RAM | Total GB, available GB |
| GPU | Name, VRAM, driver version (via nvidia-smi) |
| CUDA | Installed version, toolkit path, cuDNN version |
| Python | All installed versions, active venv, pip version |
Output format
All commands output DiagnosticReport JSON compatible with POST /api/v1/diagnose.
{
"agent_version": "1.0.0",
"os": { "name": "Ubuntu 22.04", "version": "22.04", "architecture": "x86_64" },
"cpu": { "brand": "Intel Core i9-13900K", "cores": 24, "threads": 32 },
"ram": { "total_gb": 64.0, "available_gb": 48.2 },
"gpus": [{ "name": "NVIDIA RTX 4090", "vram_gb": 24.0, "driver_version": "535.54", "index": 0 }],
"cuda": { "version": "12.1", "toolkit_path": "/usr/local/cuda-12.1", "cudnn_version": "8.9.0" },
"python_installations": [{ "version": "3.11.9", "path": "/usr/bin/python3.11", "is_venv": false }],
"active_python": { "version": "3.11.9", "path": "/usr/bin/python3.11", "is_venv": false }
}
Platform support
| Platform | Status |
|---|---|
| Linux (Ubuntu, Debian, Fedora, Arch) | ✅ Full support |
| Windows 10/11 | ✅ Full support |
| WSL2 | ✅ Full support |
| macOS | ❌ Out of scope (no CUDA) |
Troubleshooting
For common CLI, API, and environment issues, see:
../TROUBLESHOOTING.md
Project details
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