My current config is completely failing… we are hitting a wall with our weekly schedule publish in genesys cloud. the environment is set to us-east-1, and our team operates on central time. every tuesday at 6 am cst, the wfm integration attempts to push the new roster via the api, but it consistently fails with a 403 forbidden error.
the specific endpoint causing the issue is /api/v2/wfm/schedules. the error payload returns error_code: "permission_denied" with the message "the provided oauth token does not have the required scope: wfm:schedule:write".
here is the setup:
- sdk version: genesys cloud sdk v6.1.0 (python)
- iam policy: we created a custom role
wfm_schedulerthat explicitly grantswfm:schedule:readandwfm:schedule:write. however, we also applied a strict compliance constraint that restricts write access to ip ranges10.0.0.0/8and192.168.1.0/24. - execution context: the publish job runs on an aws lambda function. the lambda’s security group allows outbound traffic, but the source ip is dynamic.
i suspect the ip restriction in the iam policy is blocking the lambda’s ephemeral ip, even though the token itself looks valid when tested in postman from a static ip.
we need to maintain compliance with our security audit requirements, so opening up the ip range to 0.0.0.0/0 is not an option. is there a way to whitelist specific aws lambda execution environments or vpc endpoints in the genesys cloud iam policy? or should we be using a different authentication method for automated wfm tasks?
any insights on how other mid-sized contact centers handle this balance between automated wfm publishing and strict network-level security controls would be appreciated. we are trying to avoid manual intervention every week, which defeats the purpose of the automation.