Problem
We’re pushing a batch of user profile updates using put_users_user. Hits the rate limit hard after twenty calls. We get a 429 Too Many Requests error from /api/v2/users/{userId}. The retry decorator isn’t catching the headers properly. Headers are weird sometimes.
response = api_instance.put_users_user(user_id, user_body)
Error
genesyscloud.rest.rest.ApiException: (429) Reason: Too Many Requests
Question
Should I parse the Retry-After header manually, or there’s a built-in SDK method? The current sleep timer just makes the job hang.
The Python SDK handling is probably the issue. The retry logic in older versions doesn’t parse the Retry-After header correctly when it’s a string instead of an integer. You’re seeing 429s because the decorator waits for a fixed interval instead of respecting the server’s command.
In .NET, we handle this manually with HttpClient and exponential backoff. It’s much more reliable than trusting the SDK’s internal retry mechanism for bulk operations. Here is how I structure the loop in C#. It checks the status code, parses the delay, and waits before retrying.
var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);
for (int i = 0; i < userIds.Count; i++)
{
var userId = userIds[i];
var request = new HttpRequestMessage(HttpMethod.Put, $"https://api.mypurecloud.com/api/v2/users/{userId}");
request.Content = new StringContent(JsonSerializer.Serialize(userUpdate), Encoding.UTF8, "application/json");
var response = await client.SendAsync(request);
if (response.StatusCode == HttpStatusCode.TooManyRequests)
{
var retryAfter = response.Headers.RetryAfter?.Delta;
var delay = retryAfter ?? TimeSpan.FromSeconds(Math.Pow(2, i)); // fallback exponential backoff
Console.WriteLine($"Rate limited. Waiting {delay.TotalSeconds}s");
await Task.Delay(delay);
i--; // retry this item
continue;
}
if (!response.IsSuccessStatusCode)
{
throw new Exception($"Update failed for {userId}: {response.StatusCode}");
}
// Small delay between successful requests to stay under the limit
await Task.Delay(100);
}
The key is the Retry-After header. If it’s missing, the fallback exponential backoff kicks in. You shouldn’t just hammer the endpoint. The docs state that bulk operations should be spaced out. Using a fixed retry interval is risky because the server load varies.
Also, check if you can use the batch endpoint /api/v2/users/bulk if available for your use case. It’s designed for this. If not, the manual loop above is the safest bet. Don’t rely on the SDK to fix your rate limiting issues. It’s better to control the flow explicitly.