cuopt-server-api-python

To call the cuOpt REST API for vehicle routing, launch the server, POST your JSON payload with travel_time_matrix_data and task_data to /cuopt/request, then poll GET /cuopt/solution/{reqId} until the route plan results are ready.

Formatting a JSON payload for cuOpt linear programming optimization requires mapping specific fields like travel_time_matrix_data and task_data. You submit this JSON to the POST /cuopt/request endpoint to generate mixed-integer programming solutions asynchronously.

Checking if the cuOpt server is ready involves calling the GET /cuopt/health endpoint. A successful response confirms the REST service is active and prepared to accept POST optimization requests.

Yes, you can use Python requests to submit optimization jobs to the cuOpt server. You send the JSON payload via the requests library to the /cuopt/request endpoint, capture the returned reqId, and poll for the computed solution.

Asynchronous polling retrieves cuOpt optimization results by repeatedly calling GET /cuopt/solution/{reqId}. You use the reqId from your initial POST request and continue polling until the response contains the solver output and objective values.

Yes, the cuOpt REST API supports pickup-and-delivery scenarios. You configure the task_data mappings within your JSON payload and submit it to the optimization server to compute the required delivery route plans.