Execute a Extension in Vertex AI
Stay organized with collections
Save and categorize content based on your preferences.
This code sample demonstrates how to execute an extension.
Explore further
For detailed documentation that includes this code sample, see the following:
Code sample
Python
Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.
To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.
importvertexai
fromvertexai.previewimport extensions
# TODO(developer): Update and un-comment below lines
# PROJECT_ID = "your-project-id"
# extension_id = "your-extension-id"
vertexai .init(project=PROJECT_ID, location="us-central1")
extension = extensions.Extension(extension_id)
response = extension.execute(
operation_id="generate_and_execute",
operation_params={"query": "find the max value in the list: [1,2,3,4,-5]"},
)
print(response)
# Example response:
# {
# "generated_code": "```python\n# Find the maximum value in the list\ndata = [1, 2,..", ..
# "execution_result": "The maximum value in the list is: 4\n",
# "execution_error": "",
# "output_files": [],
# }
What's next
To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.