cuopt-server-api-python
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
How do I install this agent skill?
npx skills add https://github.com/nvidia/skills --skill cuopt-server-api-pythonIs this agent skill safe to install?
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The skill provides deployment instructions and Python client examples for the NVIDIA cuOpt REST server. It uses synthetic data for optimization tasks and follows standard practices for API interaction.
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Risk: LOW · No issues
What does this agent skill do?
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).
Problem types supported
| Problem type | Supported |
|---|---|
| Routing | ✓ |
| LP | ✓ |
| MILP | ✓ |
| QP | ✗ |
Required questions
Ask these if not already clear:
- Problem type — Routing or LP/MILP? (QP not available via REST.)
- Deployment — Local, Docker, Kubernetes, or cloud?
- Client — Which language or tool will call the API (e.g. Python, curl, another service)?
Start server
# Development
python -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000
# Docker
docker run --gpus all -d -p 8000:8000 -e CUOPT_SERVER_PORT=8000 \
nvidia/cuopt:latest-cuda12.9-py3.13
Verify
curl http://localhost:8000/cuopt/health
Workflow
- POST to
/cuopt/request→ getreqId - Poll
/cuopt/solution/{reqId}until solution ready - Parse response
Python client (routing)
import requests, time
SERVER = "http://localhost:8000"
HEADERS = {"Content-Type": "application/json", "CLIENT-VERSION": "custom"}
payload = {
"cost_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
"travel_time_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
"task_data": {"task_locations": [1, 2], "demand": [[10, 20]], "task_time_windows": [[0,100],[0,100]], "service_times": [5, 5]},
"fleet_data": {"vehicle_locations": [[0, 0]], "capacities": [[50]], "vehicle_time_windows": [[0, 200]]},
"solver_config": {"time_limit": 5}
}
r = requests.post(f"{SERVER}/cuopt/request", json=payload, headers=HEADERS)
req_id = r.json()["reqId"]
# Poll: GET /cuopt/solution/{req_id}
Terminology: REST vs Python API
| Python API | REST |
|---|---|
| order_locations | task_locations |
| set_order_time_windows() | task_time_windows |
| service_times | service_times |
Use travel_time_matrix_data (not transit_time_matrix_data). Capacities: [[50, 50]] not [[50], [50]].
Debugging (422 / payload)
Validation errors: Check field names against OpenAPI (/cuopt.yaml). Common mistakes: transit_time_matrix_data → travel_time_matrix_data; capacities per dimension [[50, 50]] not per vehicle [[50], [50]]. Capture reqId and response body for failed requests.
Runnable assets
Run from each asset directory (server must be running; scripts exit 0 if server unreachable). All use Python requests:
- assets/vrp_simple/ — Basic VRP (no time windows)
- assets/vrp_basic/ — VRP with time windows
- assets/pdp_basic/ — Pickup and delivery
- assets/lp_basic/ — LP via REST (CSR format)
- assets/milp_basic/ — MILP via REST
See assets/README.md for overview.
Escalate
For contribution or build-from-source, see the developer skill.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/nvidia/skills/cuopt-server-api-python">View cuopt-server-api-python on skillZs</a>