执行Vertex AI初始化时出现‘google.cloud.aiplatform.constants’无‘SUPPORTED_REGIONS’属性错误的技术求助

I've run into this exact issue before when setting up MLOps pipelines with Vertex AI, so let's break down how to fix it:

1. Check and adjust your google-cloud-aiplatform library version #

This error almost always comes down to a version mismatch in the Vertex AI SDK. The SUPPORTED_REGIONS constant was moved between modules in newer versions.

First, check your current installed version:

pip show google-cloud-aiplatform

Recommended fixes: #

• Upgrade to the latest stable version: If you're on a version older than 1.30.0, the SUPPORTED_REGIONS was moved from constants to google.cloud.aiplatform.utils.regions. Upgrading will resolve this, and you won't need to change your existing vertex_ai.init() code— the SDK handles the internal pathing automatically:

  pip install --upgrade google-cloud-aiplatform
  

• Downgrade to a stable legacy version: If upgrading causes other compatibility issues in your pipeline, roll back to version 1.29.0 (the last version where SUPPORTED_REGIONS still lives in the constants module):

  pip install google-cloud-aiplatform==1.29.0
  

2. Verify your import statement is correct #

Your line from google.cloud import aiplatform as vertex_ai is still the official, supported way to import the SDK— no changes here. The problem isn't your import, it's the SDK's internal structure shifting across versions.

3. Confirm your region is supported (just to be safe) #

Even though us-central1 is definitely a supported region, you can double-check with your current SDK version to rule out any edge cases:

• For versions >=1.30.0:

  from google.cloud.aiplatform.utils import regions
  print(regions.SUPPORTED_REGIONS)
  

• For older versions:

  from google.cloud.aiplatform.constants import SUPPORTED_REGIONS
  print(SUPPORTED_REGIONS)
  

You should see us-central1 in the output, confirming the region is valid for your SDK version.

4. Clear cache if version changes don't take effect #

Sometimes pip caches old versions, so if you still see the error after upgrading/downgrading, do a clean install:

pip uninstall -y google-cloud-aiplatform
pip cache purge
pip install google-cloud-aiplatform==<your chosen version>

内容的提问来源于stack exchange，提问作者schoon