Given your situation, here are several steps to troubleshoot and resolve the deployment errors: 1. Local Terraform State - Run

terraform init

to ensure your local state is properly initialized - Clear your local Terraform cache:

rm -rf .terraform

- Re-initialize to ensure you have the latest provider versions 2. Authentication and Configuration - Verify your Prefect API key is still valid and properly set - Confirm your Prefect Cloud workspace settings haven't changed - Check that your Terraform provider configuration matches your team's current settings 3. Version Consistency - Compare your

terraform --version

output with your teammates - Check the Prefect provider version in your

.tf

files against your teammates' - Ensure you're using the same Terraform provider version as your colleagues 4. Specific Troubleshooting Steps - Run

terraform plan -refresh-only

to verify the current state without making changes - Use

terraform plan

with

-target

to test specific resources that are failing - Enable Terraform debug logging:

export TF_LOG=DEBUG

before running commands 5. Common Fixes - If only certain APIs are failing, try: - Running

terraform state rm

for the failing resources and re-applying - Checking for any recent changes in those specific API configurations - Verifying the resource definitions match exactly with working examples from your teammates Since your teammates' deployments are working, this suggests a local issue rather than a platform-wide problem. The most likely culprits are: - Local state divergence - Authentication token issues - Version mismatches - Cached provider information Could you share: 1. The specific error messages you're seeing? 2. Whether this affects all deployments or just specific ones? 3. The version of Terraform and the Prefect provider you're using? This would help narrow down the exact cause and provide more targeted solutions.

for context, this was already deployed. made some updates to existing deployments. running plan and now hitting this error. everything is correct in terms of expected inputs

if it's helpful @Mitch Nielsen i can also send you the account ids if you retain those logs for tracing

in a direct message

here's a slice of the plan - the update is related to a TF tainted replace

# module.stg.prefect_deployment_schedule.schedule["stg--ml-forecasting-pipeline:feature-engineering-0"] is tainted, so must be replaced
-/+ resource "prefect_deployment_schedule" "schedule" {
      + anchor_date        = (known after apply)
      ~ catchup            = false -> (known after apply)
      ~ created            = "2025-06-30T21:23:16Z" -> (known after apply)
      ~ day_or             = true -> (known after apply)
      ~ deployment_id      = "4b91714e-01e8-4f48-a89c-95be90791f3c" -> (known after apply)
      ~ id                 = "0c5e8319-88ef-4966-acbc-6cbb15e51053" -> (known after apply)
      ~ interval           = 0 -> (known after apply)
      ~ max_active_runs    = 1 -> (known after apply)
      ~ max_scheduled_runs = 0 -> (known after apply)
      + rrule              = (known after apply)
      ~ updated            = "2025-06-30T21:23:16Z" -> (known after apply)
        # (3 unchanged attributes hidden)
    }

thanks for looking