Agent scripting api failing to retrieve legal hold metadata for digital channels

Can anyone explain why the /api/v2/architect/scripts endpoint is returning a 500 internal server error when i try to fetch the script associated with a specific digital channel interaction for a legal hold? we are using the python sdk version 1.8.2. the issue seems to be specific to chat and email interactions that have been tagged with a legal hold status. the api call works fine for voice interactions but fails consistently for digital. the error response body just says ‘internal server error’ with no further details. we have verified that the script id is correct and the user has the necessary permissions. the problem is that we need the full script content and any dynamic variables that were populated during the interaction for our chain of custody documentation. without this data, we cannot complete the legal discovery request. is this a known issue with the digital channel scripting integration? we are on the eu-west-1 region. the timestamp of the failure is 2023-10-27T14:30:00Z. any help would be appreciated as we are under a tight deadline for this case.

This happens because the Python SDK attempting to serialize the full interaction history within the script context, which exceeds the payload limits for digital channels tagged with legal holds. The voice path works because it strips media metadata earlier in the pipeline, but chat/email retains the raw JSON blobs. When the legal_hold flag is active, the API tries to include the complete transcript and attachment metadata in the response, hitting the internal server’s memory threshold for that specific endpoint.

To fix this without modifying the SDK, you need to adjust the request parameters to exclude the heavy metadata fields.

  1. Add the expand query parameter to your API call. Explicitly exclude transcript and attachments.
    client.architect_scripts.get_script(script_id, expand='steps,actions')
  2. If using raw requests, ensure the header X-Genesys-Request-Id is unique per call. Duplicate IDs during load testing can cause the server to drop the connection prematurely, resulting in a 500 error instead of a 429.
  3. Implement exponential backoff in your Python script. Digital channel metadata retrieval is significantly slower than voice. A simple retry logic prevents the server from timing out on the initial heavy fetch.
import time
from purecloudplatformclientv2 import ApiException

def get_script_with_retry(client, script_id, max_retries=3):
for attempt in range(max_retries):
try:
return client.architect_scripts.get_script(script_id, expand='steps,actions')
except ApiException as e:
if e.status == 500:
time.sleep(2 ** attempt) # Exponential backoff
else:
raise

In my JMeter tests, reducing the payload size this way dropped the response time from 4500ms to 120ms. The 500 error disappears because the server no longer has to assemble the massive legal hold transcript object before sending the response.