SolvJump Configurator: Integration

CLI workflow

solvjump run study.yaml
solvjump run study.yaml --json
solvjump sessions list
solvjump verify-ranking <session_id>
solvjump check-model model.py:make_rhs
solvjump evidence

Python Session

from solvjump import Session
 
session = Session.from_model(
    "examples/robertson_model.py:make_rhs",
    param_schema={"k1": (0.04, 0.04), "k2": (8000.0, 12000.0)},
    y0=[1.0, 0.0, 0.0],
    t_span=(0.0, 1000.0),
    stiffness_nom="S3",
)
results = session.sweep(method="grid", n=10, steps=100, dt=1.0)
# Golden SolvSRK run validates a finalist before Edge deployment
gold = session.golden({"k1": 0.04, "k2": 1.0e4}, seeds=5)

Deployment handoff

SolvJump sweeps narrow the parameter space on the ground
SolvSRK golden run proves the finalist config
Frozen config deploys to SolvSRK-Edge on tactical hardware

SolvJump stays in the engineering lab — it is not a field runtime. Integration is CLI plus importable Python.

Related products

Requires SolvSRK. Output deploys via SolvSRK-Edge.

Examples Licensing