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C++ Client Libraries | Google Cloud

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Cloud Optimization API C++ Client Library

This directory contains an idiomatic C++ client library for the Cloud Optimization API, a service that provides a portfolio of solvers to address common optimization use cases.

While this library is GA, please note Google Cloud C++ client libraries do not follow Semantic Versioning.

Quickstart

The following shows the code that you'll run in the google/cloud/optimization/quickstart/ directory, which should give you a taste of the Cloud Optimization API C++ client library API.

#include "google/cloud/optimization/v1/fleet_routing_client.h"
#include "google/cloud/common_options.h"
#include "google/cloud/project.h"
#include <iostream>

int main(int argc, char* argv[]) try {
  if (argc != 3) {
    std::cerr << "Usage: " << argv[0] << " project-id destination\n"
              << "  destination is a GCS bucket\n";
    return 1;
  }
  // This quickstart loads an example model from a known GCS bucket. The service
  // solves the model, and writes the solution to the destination GCS bucket.
  std::string const source =
      "gs://cloud-samples-data/optimization-ai/async_request_model.json";
  auto const destination =
      std::string{"gs://"} + argv[2] + "/optimization_quickstart_solution.json";

  namespace gc = ::google::cloud;
  namespace optimization = ::google::cloud::optimization_v1;

  auto options = gc::Options{}.set<gc::UserProjectOption>(argv[1]);
  auto client = optimization::FleetRoutingClient(
      optimization::MakeFleetRoutingConnection(options));

  google::cloud::optimization::v1::BatchOptimizeToursRequest req;
  req.set_parent(gc::Project(argv[1]).FullName());
  auto& config = *req.add_model_configs();
  auto& input = *config.mutable_input_config();
  input.mutable_gcs_source()->set_uri(source);
  input.set_data_format(google::cloud::optimization::v1::JSON);
  auto& output = *config.mutable_output_config();
  output.mutable_gcs_destination()->set_uri(destination);
  output.set_data_format(google::cloud::optimization::v1::JSON);

  auto fut = client.BatchOptimizeTours(req);
  std::cout << "Request sent to the service...\n";
  auto resp = fut.get();
  if (!resp) throw std::move(resp).status();
  std::cout << "Solution written to: " << destination << "\n";

  return 0;
} catch (google::cloud::Status const& status) {
  std::cerr << "google::cloud::Status thrown: " << status << "\n";
  return 1;
}
Main classes

The main class in this library is optimization_v1::FleetRoutingClient. All RPCs are exposed as member functions of this class. Other classes provide helpers, configuration parameters, and infrastructure to mock optimization_v1::FleetRoutingClient when testing your application.

More Information

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-14 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This webpage provides documentation for the Cloud Optimization API C++ client library, which offers tools for solving optimization problems using Google Cloud services."],["The latest version of the client library is 2.37.0-rc, and the page lists available versions ranging from 2.11.0 up to the latest, allowing access to previous iterations."],["The Cloud Optimization API client library is currently in General Availability (GA) but does not follow Semantic Versioning."],["The library's primary class is `optimization_v1::FleetRoutingClient`, which exposes all Remote Procedure Calls (RPCs) and is demonstrated in a quickstart example for solving a model and writing the solution to a specified GCS bucket."],["The documentation includes important details on error handling, endpoint and authentication overrides, retry policies, and environment variables for configuring library behavior."]]],[]]


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