cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncuopt-server-api-pythonExecute the skills CLI command in your project's root directory to begin installation:
Fetches cuopt-server-api-python from nvidia/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate cuopt-server-api-python. Access via /cuopt-server-api-python in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
1.7K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
1.7K
stars
| name | cuopt-server-api-python |
| version | "26.08.00" |
| description | cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API. |
| license | Apache-2.0 |
| metadata | author: NVIDIA cuOpt Team tags: - cuopt - server - rest-api - python - deployment |
This skill covers starting the server and client examples (curl, Python). Server has no separate C API (clients can be any language).
# 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
curl http://localhost:8000/cuopt/health
/cuopt/request → get reqId/cuopt/solution/{reqId} until solution readyimport 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}
| 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]].
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.
Run from each asset directory (server must be running; scripts exit 0 if server unreachable). All use Python requests:
See assets/README.md for overview.
For contribution or build-from-source, see the developer skill.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
nvidia/skills
nvidia/skills
mindrally/skills
wispbit-ai/skills
shubhamsaboo/awesome-llm-apps
mindrally/skills
Solid pick for teams standardizing on skills: cuopt-server-api-python is focused, and the summary matches what you get after install.
We added cuopt-server-api-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
cuopt-server-api-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
cuopt-server-api-python fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
cuopt-server-api-python has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for cuopt-server-api-python matched our evaluation — installs cleanly and behaves as described in the markdown.
cuopt-server-api-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added cuopt-server-api-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
cuopt-server-api-python has been reliable in day-to-day use. Documentation quality is above average for community skills.
cuopt-server-api-python fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
showing 1-10 of 46