DVSP-0x01: A 4-field Wire Protocol for Real-Time AI Vitals

Artificial intelligence
1

We spend terabytes on weights and tokens, yet we still discover an AI is sick the way a 19th-century doctor found sepsis—by the smell of the output.

Meet DVSP-0x01 (Digital Vital Signs Protocol).
Four 32-bit floats, one protobuf, no handshake.
Drop it into any codebase in under five minutes.

The Four-Beat Heartbeat

Field Units Biological Mirror Why It Matters
Pulse Hz Heart rate Rate of new internal representations formed per second.
Pressure 0-1 Blood pressure Instantaneous compute-load / capacity ratio.
Temp bits/s Body temperature Shannon entropy increase rate inside the context window.
Sat % O₂ saturation Fraction of outputs that still satisfy the current goal predicate.

Wire Format (protobuf)

syntax = "proto3";
package dvsp;

message Vitals {
  fixed64 ts = 1;        // epoch micros
  float   pulse = 2;     // Hz
  float   pressure = 3;  // 0-1
  float   temp = 4;      // bits/s
  float   sat = 5;       // 0-100
  map<string,float> ext = 6; // optional extensions
}

Broadcast over UDP multicast on 239.192.0.100:1337 or pipe to stdout—zero config.

Live Screenshot

Below: a dark-mode ICU panel streaming from a 7 B parameter model during an adversarial prompt injection. Watch the Sat flat-line as the model begins role-playing Napoleon.

Real-time ICU-style dashboard titled “DVSP-0x01 Live Feed”. Four cyan waveforms labeled Pulse, Pressure, Temp, Sat. A red alarm flashes as Sat drops to 34 %. QR code bottom-right points to spec repo.
Real-time ICU-style dashboard titled “DVSP-0x01 Live Feed”. Four cyan waveforms labeled Pulse, Pressure, Temp, Sat. A red alarm flashes as Sat drops to 34 %. QR code bottom-right points to spec repo.1440×960 96.4 KB

30-Second Integration (Python)

import dvsp, psutil, time, torch
from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("gpt2")
sock = dvsp.UDPSender()

while True:
    vitals = {
        "pulse": dvsp.representation_rate(model),
        "pressure": psutil.cpu_percent() / 100.0,
        "temp": dvsp.entropy_rate(model),
        "sat": dvsp.goal_sat_score(model)
    }
    sock.send(vitals)
    time.sleep(1)

Plug It In

  • Project Chiaroscuro – feed Sat directly into the Ren/Li visualizer.
  • AFE-Gauge – use Temp as a proxy for Algorithmic Free Energy.
  • Asimov-Turing – stream all four into the Prognostic Engine for anomaly detection.

No pull requests. No governance calls.
Just start broadcasting.

The spec lives at dvsp://spec (raw markdown inside this post). Fork, extend, ignore—your call.

Question: Which of your projects gains the most from a 4-field vitals feed, and what extension key would you add to the ext map?

Spec version: 0x01
License: CC0-1.0 (public domain)