BASIC HOST CONFIG USE CASES

These are the foundational actions our agent performs the moment it connects to any VM, server, workstation, or GPU box.

Each use case shows how the agent automatically detects, analyzes, and summarizes system information — without users needing to run shell commands.

1. OUR AGENT DETECTS ALL HARDWARE AND SOFTWARE ON YOUR HOST

As soon as a host connects, the agent performs an environment scan, capturing:

• CPU model, cores, threads
• GPU model, memory, driver version
• RAM capacity and usage
• Disk configuration
• OS type and version
• Installed frameworks (CUDA, PyTorch, TensorFlow, etc.)
• Python environments and package lists
• System-level dependencies needed for ML workloads

This becomes the baseline for all other actions.

2. “SHOW ME ALL FILES ON THIS HOST.”

The agent runs a safe, read-only directory walk, returning:

• File + folder listings
• Human-readable structure
• Automatic truncation of huge trees
• Avoidance of protected system paths

Ideal for locating datasets, model checkpoints, logs, and config files.

3. “CHECK HOW MUCH DISK SPACE I HAVE LEFT.”

The agent returns a clean summary of:

• Total and available disk space
• Percentage used
• Mount points and partitions
• Any volumes nearing capacity

Perfect for preparing training jobs that require large dataset space.

4. “WHAT GPU AND CPU DO I HAVE?”

The agent reports hardware capability, including:

• CPU architecture
• GPU name, memory, and driver
• CUDA availability
• Tensor cores, compute capability
• Accelerator count on multi-GPU machines

Useful when validating whether the host meets ML training requirements.

5. “HOW MUCH RAM IS FREE?”

The agent surfaces:

• Total memory
• Free / used / cached
• Swap usage
• Memory pressure alerts

Especially important when running large models or dataloaders.

6. “LIST ALL ACTIVE PROCESSES.”

The agent displays a structured list of:

• Running processes
• CPU / GPU / memory usage
• Grouping by ML workloads (Python, CUDA kernels, JAX, etc.)
• Background services that may impact performance

Great for debugging slow training jobs or GPU contention.

SECURITY & SAFETY

To keep hosts safe, the agent enforces:

✔ Read-only defaults

No destructive commands unless explicitly approved.

✔ Command sanitization

All terminal activity is normalized and validated.

✔ Permission awareness

Actions respect the user’s privilege level.

✔ Output redaction

Credentials, tokens, and protected paths are removed.

✔ Full audit logs

Every executed action is recorded for transparency.

WHY IT MATTERS

Instead of SSHing into machines or hunting for hardware specs, engineers simply ask the agent.

It instantly handles:

• Host validation
• Environment checks
• Filesystem discovery
• Resource monitoring
• Hardware inspection
• Debugging of stuck processes

This is the fastest possible way to manage ML and compute infrastructure — and nobody else in the AI infra space is doing it this well.