Stuck on a persistent 409 Conflict error when attempting to automate WFM schedule imports via the Genesys Cloud REST API. The pipeline is designed to push bulk shift assignments for a specific user group using the /api/v2/wfm/scheduling/users endpoint. The Terraform provider v2.1.0 handles the initial resource creation, but the actual schedule data is pushed via a custom Python script using the Genesys Cloud SDK v2.0.41. The error response indicates that the shift_pattern_id referenced in the payload does not match any existing pattern in the specified division. However, manual verification confirms that the shift_pattern_id is valid and exists in the same division as the users being updated. The request payload includes the correct user_id, shift_pattern_id, and start_time in ISO 8601 format. The API returns a detailed error message stating ‘Invalid shift pattern reference for the given division context.’ This issue occurs only when the script runs in the automated pipeline, not when the same payload is tested manually via Postman or the API explorer. The environment is Genesys Cloud US East, and the WFM module is fully licensed and active. The Terraform state file confirms that all WFM resources, including shift patterns and user groups, are correctly provisioned and in sync with the Genesys Cloud backend. The Python script uses the same OAuth token as the Terraform provider, ensuring consistent permissions and scope. The issue appears to be related to the timing of resource availability or a caching issue within the WFM service. The pipeline runs every night at 02:00 AEST, and the error has been occurring for the past three consecutive days. The logs show no network timeouts or authentication failures. The request headers include the correct Accept and Content-Type values. The division_id is explicitly set in the request context. The user_id is verified to be active and assigned to the correct WFM group. The shift_pattern_id is confirmed to be active and not deleted. The start_time is within the valid scheduling window. The error persists even after adding a 30-second delay between resource creation and the bulk assignment call. The issue seems to be specific to the WFM Bulk Assignment API and not a general authentication or permission problem. The goal is to automate the entire WFM scheduling process without manual intervention. The current failure breaks the CI/CD pipeline and requires manual correction of the schedule data. The Terraform provider does not have a direct resource for bulk shift assignments, so the custom script is necessary. The SDK version is up to date, and the API documentation does not mention any known issues with this endpoint. The error message is generic and does not provide specific guidance on how to resolve the conflict. The division context appears to be the key factor, but all resources are in the same division. The issue may be related to the order of operations or the timing of resource propagation within the Genesys Cloud backend. The pipeline uses GitHub Actions to orchestrate the Terraform apply and the Python script execution. The environment variables are correctly set, and the OAuth token is refreshed before each API call. The issue is blocking the automated deployment of new schedule configurations. The manual workaround is time-consuming and prone to human error. The goal is to identify the root cause of the 409 Conflict and implement a fix in the automated pipeline. The error log snippet is attached for reference. The request payload is also included in the appendix. The division_id is ‘d1234567-89ab-cdef-0123-456789abcdef’. The shift_pattern_id is ‘s1234567-89ab-cdef-0123-456789abcdef’. The user_id is ‘u1234567-89ab-cdef-0123-456789abcdef’. The start_time is ‘2024-05-15T09:00:00.000Z’. The error message is ‘Invalid shift pattern reference for the given division context.’ The status code is 409. The reason phrase is ‘Conflict’. The content type is ‘application/json’. The accept header is ‘application/json’. The authorization header is ‘Bearer ’. The content length is 256 bytes. The request method is POST. The request path is ‘/api/v2/wfm/scheduling/users’. The query parameters are empty. The headers are standard. The body is a JSON array of assignment objects. Each object contains user_id, shift_pattern_id, and start_time. The array length is 100. The script loops through the array and sends a single POST request with the entire payload. The response is parsed and checked for errors. If an error is detected, the script logs the error and exits with a non-zero status code. The GitHub Actions workflow fails when the script exits with a non-zero status code. The pipeline is configured to retry on transient errors, but this error is not transient. The error is consistent and reproducible. The issue needs to be resolved to restore the automated WFM scheduling process. The manual workaround is not sustainable for the long term. The team is looking for a reliable solution to automate the WFM schedule imports. The error message suggests a division context mismatch, but all resources are in the same division. The issue may be related to the API’s internal validation logic or a bug in the SDK. The goal is to identify the root cause and implement a fix in the automated pipeline. The error log snippet is attached for reference. The request payload is also included in the appendix.