How does the PLARV Argus Anchor Point work?

The Anchor Point Protocol identifies the last genuinely stable step in a training run, allowing researchers to restore optimizer states and weights to a known clean baseline instead of restarting from scratch.

What is the Forensic Social Hub?

The Forensic Social Hub is a collaborative workspace where investigators and researchers can audit training runs together, deep-diving into signal breaches and tracking resolutions across the fleet.

PLARV Argus | Active Monitoring Control Plane

01 // Quickstart

Installation & Handshake

The Argus SDK is a zero-block async client designed to wrap your training loop with zero latency overhead.

from argussdk import Argus

# Initialize the Protocol Gate
argus = Argus(
    api_key="PA-XXXX-XXXX",
    run_id="model-70b-helltest",
    mode="AUTO" # Automated fail-safe interventions
)

# Active Monitoring Loop
for step, (x, y) in enumerate(dataloader):
    loss = model(x, y)
    
    # Report telemetry with zero-latency prefetch
    argus.step(
        loss=loss.item(),
        grad_norm=compute_grad_norm(model),
        epoch=current_epoch
    )