EnvironmentError
google.auth.exceptions.EnvironmentError
Stack trace
google.auth.exceptions.EnvironmentError: The environment variable GOOGLE_CLOUD_PROJECT is not set. Please set it to your Google Cloud project ID before initializing the Vertex AI client.
Why it happens
The Vertex AI SDK relies on the GOOGLE_CLOUD_PROJECT environment variable to identify which Google Cloud project to use for API calls. If this variable is not set, the SDK cannot authenticate or route requests properly, causing this error.
Detection
Check for the presence of the GOOGLE_CLOUD_PROJECT environment variable in your runtime environment before initializing the Vertex AI client. Log or assert its presence to catch this early.
Causes & fixes
GOOGLE_CLOUD_PROJECT environment variable is not set in the OS environment
Set the environment variable GOOGLE_CLOUD_PROJECT to your Google Cloud project ID before running your Python application, e.g., export GOOGLE_CLOUD_PROJECT='your-project-id'
Running code in an environment (like local machine or container) without Google Cloud SDK configured
Install and configure the Google Cloud SDK and authenticate with gcloud auth login, then set the project ID environment variable accordingly
Using a deployment environment (e.g., Cloud Run, Cloud Functions) without specifying the project ID environment variable
Configure the deployment environment to include the GOOGLE_CLOUD_PROJECT environment variable with the correct project ID
Code: broken vs fixed
from google.cloud import aiplatform
# This will raise EnvironmentError if GOOGLE_CLOUD_PROJECT is not set
client = aiplatform.gapic.PipelineServiceClient()
# Error occurs hereimport os
from google.cloud import aiplatform
# Set environment variable for project ID
os.environ['GOOGLE_CLOUD_PROJECT'] = os.environ.get('GOOGLE_CLOUD_PROJECT', 'your-project-id') # Replace with your actual project ID
client = aiplatform.gapic.PipelineServiceClient()
print('Vertex AI client initialized successfully')Workaround
Manually pass the project ID as a parameter to Vertex AI client constructors if supported, or wrap client initialization in try/except to catch the EnvironmentError and prompt for setting the environment variable.
Prevention
Always configure your deployment and local environments to include the GOOGLE_CLOUD_PROJECT environment variable or use Google Cloud SDK authentication flows that automatically set this variable.