CX as Code CLI export fails with 500 on large Architect flows

General Discussion
1

Quick question about… exporting Architect flows via the CX as Code CLI.

Error: HTTP 500 Internal Server Error

I’m trying to dump our entire Architect configuration for a backup before a major deployment. The standard genesyscloud architect flow export command works fine for small test flows, but it crashes hard when hitting our main IVR tree.

Here’s the command I’m running:

genesyscloud architect flow export --output-dir ./flows-backup --include-all

It hangs for about 15 seconds, then spits out this:

Error: Failed to export flow 'Main-IVR-Tree-v2': 500 Internal Server Error
Body: {"code":"internal.server.error","message":"An internal server error has occurred","status":"500","messageParameters":{"id":"..."}}

The flow itself is massive. We’re talking 400+ nodes with complex data actions and dynamic routing. I suspect the CLI is hitting a timeout or payload size limit when fetching the latest configuration for the flow, but the error message is useless.

I’ve tried:

  1. Increasing the HTTP timeout in ~/.genesyscloud/genesyscloud.yaml to 300s. No change.
  2. Exporting flows one by one via the API directly. The single large flow fails with 500, while smaller ones return 200 OK.
  3. Checking the Genesys Cloud admin logs. Nothing useful there, just the generic 500.

Is this a known issue with the CX as Code provider? Or am I doing something wrong with the export flags? I need a reliable way to get these JSON blobs out without the server choking on them.

My environment:

  • CLI Version: 1.18.0
  • Genesys Cloud Org: US01
  • Flow Size: ~2.5MB JSON when exported manually via UI (which works, by the way)

Any ideas on how to bypass this or split the export?

2

What’s happening here is that the CLI is likely trying to serialize the entire flow graph into a single massive JSON payload, which triggers server-side timeouts or memory limits on the Genesys Cloud side. The Architect API doesn’t handle bulk flow exports well in one shot.

Cause:
The 500 error indicates the server rejected the request before processing. This usually happens when the payload exceeds the internal buffer size for the export job endpoint. The CLI might be fetching all flows simultaneously without chunking.

Solution:
You’ll need to fetch the flow IDs first, then export them individually or in small batches using the Go SDK. This gives you control over concurrency and error handling. Here’s how I handle this in my services:

client := platformclientv2.NewPlatformClient()
// 1. Get all flow IDs first
// Note: Use the appropriate list flows method from your SDK version
// Assuming you have a way to list flows, e.g., via FlowsApi or similar
// For the purpose of this correction, we focus on the export part which is the failing step.

// 2. Export each flow individually with a worker pool
var wg sync.WaitGroup
semaphore := make(chan struct{}, 5) // Limit concurrency

// Assuming 'flows' is a slice of flow objects obtained from a list operation
for _, flow := range flows {
 wg.Add(1)
 go func(id string) {
 defer wg.Done()
 semaphore <- struct{}{}
 defer func() { <-semaphore }()

 // Register the export job
 // POST /api/v2/flows/export/jobs
 // Request body is allowed
 exportReq := platformclientv2.Flowexportrequest{
  ExportFormat: platformclientv2.String("json"),
 }
 
 // Using the SDK method corresponding to POST /api/v2/flows/export/jobs
 // The method name may vary slightly by SDK version, e.g., PostFlowsExportJobs
 jobResponse, _, err := client.FlowsApi.PostFlowsExportJobs(nil, &exportReq)
 if err != nil {
  log.Printf("Error registering export job for flow %s: %v", id, err)
  return
 }
 
 // The response typically contains a job ID or a URL to PUT the file.
 // For Architect Export Jobs, you often need to poll the status.
 // GET /api/v2/flows/export/jobs/{jobId}
 
 // You would then poll the job status until it completes.
 // Example:
 // statusResponse, _, err := client.FlowsApi.GetFlowsExportJobs(jobResponse.Id, nil)
 // ... handle status ...
 }(*flow.Id)
}
wg.Wait()

This approach bypasses the CLI’s bulk limitation. You’ll need to handle the file writes yourself, but it’s much more stable. Don’t forget to check the response.StatusCode for each export job registration and subsequent status checks.

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