Cuopt Server Api Python

This covers deploying NVIDIA's cuOpt REST server and calling it from Python or curl. You get Docker and local startup commands, payload examples for routing and linear programming problems, and a polling workflow since solutions come back async. The Python snippet shows the full cycle: POST your problem, grab the request ID, poll for results. Helpful if you're already familiar with cuOpt's Python API, since the REST field names differ slightly (task_locations vs order_locations, for instance). The runnable assets give you working VRP, pickup/delivery, and LP examples to start from. Routing and MILP are supported; quadratic programming is not available via REST.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add nvidia/skills --skill cuopt-server-api-python --agent claude-code

Installs into .claude/skills of the current project.

Files

cuOpt Server — Deploy and client (Python/curl)

This skill covers starting the server and client examples (curl, Python). Server has no separate C API (clients can be any language).

Purpose

Use this skill when the user is deploying the cuOpt REST server or writing a client against it — choosing a deployment target, mapping a problem onto the HTTP endpoints, translating between Python-API and REST field names, or debugging a rejected payload.

Prerequisites

An NVIDIA GPU with a working CUDA driver (the server requires one; --gpus all for Docker).
cuopt-server installed, or Docker with the NVIDIA Container Toolkit. See the install skill.
Python clients need requests. No API key or auth token is required by the server itself.