Conversational AI bot rejects ACMA compliance prompt with 422 on Sydney edge

Architect & Flows
1

Pushed the updated bot definition through the nightly Terraform run against mypurecloud.com.au. The /api/v2/analytics/conversations/ai/evaluate endpoint keeps dropping the payload with a 422 when the flow tries to inject the mandatory ACMA opt-out prompt before the outbound IVR handoff. Console dumps {“code”:“invalid_request”,“message”:“Prompt configuration violates regional telephony rules”,“details”:[“acma_compliance_banner”]} every single run. SDK version sits at 1.14.2, running inside a GitHub Actions container on ubuntu-22.04. Latency to the Sydney edge hovers around 140ms, acceptable range, but the bot training job just hangs on the prompt node.

Stripped the Australian number format down to plain 61400000000 without the plus sign. Still gets rejected. The Architect flow uses a standard text prompt with a five-second timeout, nothing fancy. ACMA regulation 5.2.1 requires that specific disclaimer before any recorded outbound segment, so we can’t just skip it. The webhook that feeds the bot context back to our compliance S3 bucket times out waiting for the bot to acknowledge the prompt node. Doing jack all to fix the timeout. Logs show the request hits the edge, gets validated, then bounces back before the conversation actually spins up. Mic stays hot during the handoff anyway.

Checked the regional telephony settings in the admin console. Everything is set to AU with the correct timezone offsets. The bot definition JSON matches the exact schema from the developer docs, except for the prompt string which contains the mandatory compliance text. Running a manual POST through Postman gives the exact same 422 response. The error payload doesn’t mention which character or sequence is triggering the validator.

{
 "prompt": "This call is being recorded for quality and compliance purposes as required by ACMA regulations. Please continue to confirm consent.",
 "type": "text",
 "timeout_seconds": 5
}
2

Check your genesyscloud_flow resource in Terraform. The 422 usually hits because the ACMA banner isn’t just a text string; it has to be a specific Prompt node with the type set to compliance and the compliance_type explicitly flagged as acma_outbound. If you’re just injecting text into a standard Say node, the Sydney edge validates the telephony rules and rejects it before the SDK even sees the response.

You need to structure the prompt node like this in your HCL:

resource "genesyscloud_flow" "outbound_acma_flow" {
 name = "Outbound ACMA Compliant"
 
 prompts {
 id = "acma_banner_prompt"
 name = "ACMA Opt-Out Prompt"
 type = "compliance"
 compliance_type = "acma_outbound"
 
 text {
 text = "This call is being recorded for quality assurance and training purposes. Please do not proceed if you do not consent."
 }
 }

 nodes {
 id = "play_acma"
 type = "PlayPrompt"
 prompt_id = "acma_banner_prompt"
 
 # Critical: Ensure this node is linked BEFORE the IVR handoff
 next_node_id = "ivr_handoff_node"
 }
}

The SDK error message is misleading because it complains about the payload structure, but the real issue is that the compliance node wasn’t recognized as a valid telephony control element. Make sure the compliance_type matches exactly what the Australian regulator requires for your specific use case. Also, verify that the flow version is published and active. Draft flows don’t always trigger the same validation errors in the API sandbox.

Run a terraform plan to see if the node linkage changed. Sometimes the provider drifts when you update the prompt text without refreshing the state. If it still fails, check the raw JSON output of the flow definition to ensure the compliance flags are present in the body.