This shows how to override the retry policies for automl_v1::AutoMlClient:
auto options =
google::cloud::Options{}
.set<google::cloud::automl_v1::
AutoMlConnectionIdempotencyPolicyOption>(
CustomIdempotencyPolicy().clone())
.set<google::cloud::automl_v1::AutoMlRetryPolicyOption>(
google::cloud::automl_v1::AutoMlLimitedErrorCountRetryPolicy(3)
.clone())
.set<google::cloud::automl_v1::AutoMlBackoffPolicyOption>(
google::cloud::ExponentialBackoffPolicy(
/*initial_delay=*/std::chrono::milliseconds(200),
/*maximum_delay=*/std::chrono::seconds(45),
/*scaling=*/2.0)
.clone());
auto connection = google::cloud::automl_v1::MakeAutoMlConnection(options);
// c1 and c2 share the same retry policies
auto c1 = google::cloud::automl_v1::AutoMlClient(connection);
auto c2 = google::cloud::automl_v1::AutoMlClient(connection);
// You can override any of the policies in a new client. This new client
// will share the policies from c1 (or c2) *except* for the retry policy.
auto c3 = google::cloud::automl_v1::AutoMlClient(
connection,
google::cloud::Options{}
.set<google::cloud::automl_v1::AutoMlRetryPolicyOption>(
google::cloud::automl_v1::AutoMlLimitedTimeRetryPolicy(
std::chrono::minutes(5))
.clone()));
// You can also override the policies in a single call:
// c3.SomeRpc(..., google::cloud::Options{}
// .set<google::cloud::automl_v1::AutoMlRetryPolicyOption>(
// google::cloud::automl_v1::AutoMlLimitedErrorCountRetryPolicy(10).clone()));
Assuming you have created a custom idempotency policy. Such as:
class CustomIdempotencyPolicy
: public google::cloud::automl_v1::AutoMlConnectionIdempotencyPolicy {
public:
~CustomIdempotencyPolicy() override = default;
std::unique_ptr<google::cloud::automl_v1::AutoMlConnectionIdempotencyPolicy>
clone() const override {
return std::make_unique<CustomIdempotencyPolicy>(*this);
}
// Override inherited functions to define as needed.
};
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["\u003cp\u003eThe latest release candidate version for \u003ccode\u003eautoml_v1\u003c/code\u003e is 2.37.0-rc, with a list of available versions ranging down to 2.11.0.\u003c/p\u003e\n"],["\u003cp\u003eThe document demonstrates how to override the default retry policies for \u003ccode\u003eautoml_v1::AutoMlClient\u003c/code\u003e, using \u003ccode\u003egoogle::cloud::Options\u003c/code\u003e to set specific options like \u003ccode\u003eAutoMlConnectionIdempotencyPolicyOption\u003c/code\u003e, \u003ccode\u003eAutoMlRetryPolicyOption\u003c/code\u003e, and \u003ccode\u003eAutoMlBackoffPolicyOption\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eMultiple clients, such as \u003ccode\u003ec1\u003c/code\u003e and \u003ccode\u003ec2\u003c/code\u003e, can share the same retry policies when created with the same connection, while a new client like \u003ccode\u003ec3\u003c/code\u003e can have a unique policy overriding only what is specified.\u003c/p\u003e\n"],["\u003cp\u003eThe provided code illustrates how to override retry policies in a single RPC call using \u003ccode\u003egoogle::cloud::Options\u003c/code\u003e, specifically through \u003ccode\u003eAutoMlRetryPolicyOption\u003c/code\u003e, as shown with \u003ccode\u003ec3.SomeRpc\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eA custom idempotency policy such as \u003ccode\u003eCustomIdempotencyPolicy\u003c/code\u003e can be created, as shown in the documentation, by inheriting \u003ccode\u003egoogle::cloud::automl_v1::AutoMlConnectionIdempotencyPolicy\u003c/code\u003e and overriding functions as needed.\u003c/p\u003e\n"]]],[],null,[]]