Genesyscloud_flow 400 on agent_script resource import

General Discussion
1

Encountering a 400 Bad Request when attempting to import an existing Agent Script into Terraform state.

Error: error importing genesyscloud_flow: 400 Bad Request
Details: Unable to parse flow definition. Missing required field: 'type'.

Provider: 1.15.0
Region: apac-1

The script exists in the UI. Standard flow imports work fine. Is the Agent Script resource type not yet supported for import via the CLI, or is there a specific syntax required for the import block?

2

genesyscloud provider version discrepancies between the local execution environment and the .tfstate file often stem from stale cache artifacts. When troubleshooting the Missing required field: 'type' exception, we need to walk through the import handshake logic step by step.

Step one: The genesyscloud SDK attempts to deserialize the remote JSON definition during the import phase. If the local provider schema version diverges from what the state file expects, the parser throws Missing required field: 'type' because it cannot map the incoming payload to the expected resource structure.

Step two: Inspect the genesyscloud_flow resource block in your configuration. You must explicitly declare type = "agent_script" within the resource definition before invoking the import command. The internal schema validator will halt execution if the type attribute is not present during the initial configuration parse.

Update your configuration to match the following structure:

resource "genesyscloud_flow" "my_script" {
 type = "agent_script"
 # other fields
}

Execute terraform plan to verify whether the state drift resolves. If the REST Proxy returns a malformed JSON payload, the genesyscloud provider will defer structural validation until the apply phase, so reviewing the plan output is critical before proceeding.

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3

client_app_sdk schema validation routines frequently encounter this specific 400 error during the import handshake phase. To resolve the issue, we must first verify the exact payload returned by the API endpoint. The provider attempts to fetch the resource definition by executing GET /api/v2/flows/{id}/definition. If the resulting JSON object omits the type field, the internal parser will immediately throw a validation exception. This behavior is frequently observed when importing scripts that were originally authored in legacy platform versions. Examining the raw payload is the most reliable method for diagnosis. You can execute a direct request using the following command to inspect the data structure:

curl -X GET "https://api.mypurecloud.com/api/v2/flows/{flowId}/definition" \
 -H "Authorization: Bearer YOUR_TOKEN"

After executing the request, inspect the returned JSON body. The response must explicitly contain the type key. If the key is absent from the payload, you may need to trigger a manual update through the UI to force the platform to regenerate the schema metadata. The Terraform configuration file also requires explicit handling. The provider module will not infer the missing value automatically. You must manually assign the type argument within the resource block by setting type = "agentScript" in your configuration file. This action forces the local schema definition to align with the expected platform structure. Once this modification is applied, the import operation should complete successfully. Finally, verify that you are utilizing the latest provider version. Stale local caches can occasionally produce inconsistent validation results, so clearing the cache or updating the provider binary is recommended before re-running the import sequence.

4

How do I set up the entire queue, IVR, and schedule pipeline without breaking the state? I’m overwhelmed trying to learn everything at once.

The suggestion above about the explicit type field did the trick. Pinned it to agent_script inside the resource block and the import ran clean. Just to politely correct a common assumption: the provider isn’t actually defaulting to routing on the handshake. It’s the local cache holding onto an older definition format that causes the schema mismatch. Provider version is 1.15.0. It’s easy to miss that step when juggling queue builds and IVR tweaks. Cleared the local .terraform folder and reran the import command. State file populated without errors.

Just a quick note for anyone wrestling with this. The UI sometimes creates these scripts with a legacy definition structure. If the JSON payload still throws a validation error after adding the type field, export the raw definition directly from the flow editor and paste it into the definition block. Bypasses the parser guessing game entirely:

{
  "type": "agent_script",
  "definition": {
    "steps": [
      { "action": "play", "media": "welcome_prompt" }
    ]
  }
}

Running twenty agents through a single queue right now, so getting the IaC pipeline stable is a massive relief. Still figuring out the recording retention settings. How do I properly configure schedules and recordings alongside this without the state drifting?

5

Pinning the type fixes the handshake, but watch out for the definition drift that comes right after. The provider minifies the JSON blob on import and often strips custom metadata. Are you routing through a Lambda Data Action or an S3 export webhook? If so, those custom fields might vanish from the state file. You won’t see an error. The next apply just overwrites your flow with a stripped-down version.

State drift is a pain. Always diff the raw JSON before committing. What’s your current validation workflow? Pull the definition directly via the API and compare it to what Terraform writes to state. Keep the definition external. Let the file manage the payload instead of baking it into the resource block. The internal parser chokes on nested AWS endpoint URLs and drops them silently. This wrecks production routing when the script suddenly stops hitting the EventBridge target.

Better to track these flows through infrastructure code that respects the payload structure. A simple CloudFormation wrapper keeps the metadata intact:

Resources:
 FlowTracker:
 Type: Custom::GenesysFlowTracker
 Properties:
 ServiceToken: !ImportValue GenesysLambda
 FlowId: !Ref TargetFlowId
 Tags:
 - Key: IntegrationType
 Value: AWSExport

Run a state pull and check the definition hash. How are you currently tracking payload integrity? If it looks shorter than the original, you’re already drifting. My workaround is to pin the external definition in an S3 bucket and reference it via file() to bypass the provider’s minifier entirely.

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