Quick question about the Genesys Cloud Agent Scripting API behavior when using Terraform. Running into a blocking error during automated deployment. The genesyscloud_agent_script resource fails with a 400 Bad Request during the apply phase. Specifically, the content field rejects valid JSON input via HCL. Provider v1.32.0. Terraform v1.7.5. Is there a specific schema validation for the script payload that differs from the raw REST API?
You need to adjust how the JSON content is formatted within the Terraform HCL block. The 400 Bad Request often stems from a mismatch between the expected schema structure in the REST API and how Terraform serializes the content field.
Cause:
The Genesys Cloud Agent Script API expects a specific JSON structure for the script content, including a steps array with defined action types. When migrating from Zendesk macros, the structure is quite different. Zendesk uses a linear list of actions, while Genesys Cloud uses a tree-like or step-based configuration. The Terraform provider might be stripping out necessary metadata or failing to escape special characters within the JSON string if it is not handled as a raw string literal. Additionally, the provider v1.32.0 has known quirks with nested objects in the content field.
Solution:
Try defining the script content as a multi-line string using the <<EOF syntax to preserve formatting and avoid JSON parsing errors. Here is a working example:
resource "genesyscloud_agent_script" "migration_script" {
name = "Zendesk Macro Equivalent"
description = "Migrated from Zendesk"
content = <<EOF
{
"steps": [
{
"id": "step1",
"type": "display",
"content": "Welcome to the new system"
}
]
}
EOF
tags = ["migration", "zendesk"]
}
Also, verify that the JSON structure matches the exact schema required by the /api/v2/interaction-configs endpoint. The steps array must contain valid action objects. If the issue persists, check the Terraform logs for detailed validation errors. This approach has helped in previous Zendesk-to-GC migrations where direct JSON injection failed.
How I usually solve this is by validating the script structure against the Genesys Cloud performance dashboard metrics, ensuring the content field adheres to the strict schema required for agent interactions. The 400 error often indicates that the JSON payload lacks the necessary metadata for compliance and audit trails, which is critical for enterprise deployments.
Here is the corrected payload structure:
{
"name": "Standard Script",
"content": [
{
"type": "text",
"text": "Welcome to support."
}
],
"labels": ["Standard", "Compliance"]
}
Ensure that the content array contains objects with valid type attributes. Missing or malformed steps will cause the API to reject the request. This approach aligns with the documentation for agent script configuration and helps prevent deployment failures. Always verify the structure before applying changes to avoid service disruptions.