cuopt-sandbox

Apps & Automation

Run cuOpt in the NemoClaw sandbox — probe/smoke gates, remote gRPC env, then vendored cuOpt skills.

QUICK START

How to use this skill

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Source SKILL.md: https://github.com/NVIDIA/cuopt-examples/blob/HEAD/cuopt_on_nemoclaw/openclaw-skills/cuopt-sandbox/SKILL.md

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cuOpt in the NemoClaw sandbox

Infrastructure for solving with cuOpt inside NemoClaw: probe/smoke gates, remote env vars, and handoff to vendored formulation/API skills.

When to use

Constructive planning from uploaded constraint data (schedule, assign, route, roster — any wording). See references/intent-and-triggers.md.
CSV upload + plan → optimization-from-data-orchestrator + references/activation.md.
ImportError / cudaErrorInsufficientDriver.

Mandatory order

Complete before any assignment output, feasibility verdict, or custom solver code:

Step	Action	Reference
0	Probe → remote env → smoke	`references/remote-env-and-smoke.md`
1	Formulate	vendored `*-formulation` skills
2	Solve (one job, terminal status)	`references/long-running-jobs.md`

Inspecting uploaded data for columns and constraints is fine; emit a completed plan only after smoke succeeds.

Quick reference

Imports (LP/MILP/QP):

from cuopt.linear_programming.problem import Problem, INTEGER, MINIMIZE
from cuopt.linear_programming.solver_settings import SolverSettings

Interfaces: LP/MILP/QP → gRPC :5001 + CUOPT_REMOTE_*; routing → REST :5000. See references/interfaces.md, references/routing-rest-only.md.

Reference index

Topic	File
Activation / skill order	`references/activation.md`
Intent / paraphrases	`references/intent-and-triggers.md`
Gates / common mistakes	`references/gates-and-first-actions.md`
Env vars + smoke	`references/remote-env-and-smoke.md`
Python imports	`references/python-imports.md`
gRPC vs REST	`references/interfaces.md`
Routing REST	`references/routing-rest-only.md`
Paths + probe	`references/environment-and-networking.md`
Long-running jobs	`references/long-running-jobs.md`
Troubleshooting	`references/troubleshooting.md`

Orchestration skills (local)

After gates: optimization-from-data-orchestrator → optimization-intent-router → tabular-optimization-ingestion → cuopt-model-mapper (and optimization-mode-router when replay/audit signals appear).

Vendored upstream skills

Installed under /sandbox/.openclaw/skills/ by install-skill: numerical-optimization-formulation, cuopt-numerical-optimization-api-python, routing-formulation, cuopt-routing-api-python, cuopt-server-api-python, cuopt-user-rules, etc.