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Showing content from https://cloud.google.com/cpp/docs/reference/optimization/2.29.0 below:

C++ Client Libraries | Google Cloud

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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.

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;
}

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.

• Error Handling - describes how the library reports errors.
• How to Override the Default Endpoint - describes how to override the default endpoint.
• How to Override the Authentication Credentials - describes how to change the authentication credentials used by the library.
• Override Retry, Backoff, and Idempotency Policies - describes how to change the default retry policies.
• Environment Variables - describes environment variables that can configure the behavior of the library.

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 to solve common optimization use cases."],["The library's current release candidate is version 2.37.0-rc, with a range of previous versions available, and version 2.29.0 being the one the current documentation is based upon."],["The primary class for utilizing the library is `optimization_v1::FleetRoutingClient`, with RPC functions accessible as its members."],["The documentation includes a quickstart guide with an example demonstrating how to send a request to the service to solve a model, and then write the solution to a destination."],["The library does not follow semantic versioning, but offers various customization options related to error handling, endpoints, authentication credentials, retry policies, and environment variables."]]],[]]

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