My current config is completely failing… Running JMeter against the Agent Scripting endpoint /api/v2/scripts with 50 concurrent threads. Getting immediate 400 Bad Request errors. Payload includes valid JSON structure with steps and triggers. Verified against the latest SDK docs. Error message says ‘Invalid script structure’ but no specific field is highlighted. Trying to push 200 requests per minute for capacity planning. Environment is Genesys Cloud US East. Need to understand the exact validation failure to fix the JMeter JSON template.
The quickest way to solve this is to validate the step dependencies before submitting the bulk payload. When running high-concurrency tests like JMeter with 50 threads, the validation engine often rejects scripts that reference undefined variables or missing triggers, even if the JSON syntax is technically correct. The error “Invalid script structure” is generic but usually points to a logical gap in the script flow rather than a syntax error.
Check your payload for circular references or steps that depend on data not yet captured. For example, if a “Get Customer Data” step relies on a variable set by a previous “Play Audio” step, ensure the variable name matches exactly. Case sensitivity matters here.
{
"steps": [
{
"id": "step_1",
"type": "play_audio",
"data": {
"fileId": "audio_welcome_msg"
}
},
{
"id": "step_2",
"type": "get_variable",
"data": {
"variableName": "customer_id",
"source": "interaction_context"
}
}
]
}
Also, review the rate limits for your specific tier. While 200 requests per minute might be acceptable for read operations, write operations on scripting endpoints often have stricter throttling. The official documentation outlines the specific constraints for script creation and modification. You can find more details on validation rules and rate limiting here: Genesys Cloud Scripting API Validation Guide.
For legal discovery purposes, ensure that any metadata fields added during script creation do not conflict with existing hold configurations. If the script is part of a bulk export workflow, verify that the metadata tags are consistent with the chain of custody requirements. This prevents downstream errors when pulling transcripts later.