Cognigy bot flow export via Go REST API failing on dependency resolution and async job polling

The Go client attempts to pull Cognigy bot flow definitions straight through the REST API, but the POST /api/v2/bots/{botId}/exports endpoint keeps choking on our payload structure. The request body passes botVersionId, scopeFilters, and serializationFormat as application/json, yet the dependency resolution constraints trigger a 422 UNPROCESSABLE ENTITY whenever the node count crosses the threshold. Async job processing should handle the dependency graph traversal and automatic conflict detection, but the response payload just returns a generic jobId without exposing the reference resolution pipeline status. Polling /api/v2/jobs/{jobId}/status every three seconds leaves the exportStatus field stuck on PROCESSING while the platform silently drops the JSON schema normalization step. It’s frustrating when the dependencyGraph array isn’t flattened correctly before the validation gate runs. Pretty messy pipeline.

Once the export actually finishes, the raw definition needs to pipe through a flow transformation logic layer that normalizes platform-specific nodes into a portable structure. A webhook listener syncs the export completion status with our Git repository for CI/CD alignment, but the webhookPayload doesn’t carry the validationSuccessRate or exportDuration metrics required for development efficiency tracking. Audit log generation also fails when the referenceResolution pipeline encounters circular topicModelId bindings, which throws a 500 INTERNAL SERVER ERROR on the /api/v2/analytics/exports/audit endpoint. The Go http.Client just needs to handle the retry logic properly without mangling the serializationFormat flags. The webhook keeps timing out on the third retry.

hey! ran into something similar when we were building out the handoff to our chatbot - super annoying, right? it’s almost always the dependency resolution piece with those exports.

what helped us was breaking up the export into smaller chunks. instead of grabbing everything at once, try filtering by flow type or even individual flow IDs. that way, you’re hitting that node count threshold less often. we’re on Zoom Contact Center, so I don’t know if that impacts anything, but the Cognigy documentation has a section about optimized exports, maybe check that?

Also, double-check your serializationFormat. I remember seeing a community post where someone had issues switching between JSON and XML. if you’re still stuck, sending a sample of your request body might help me take a peek. I’ve got a screenshot of ours if that’d be useful too. lol.