The Python runtime

Preview — Cloud Run functions

This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

Your Cloud Run function runs in an environment consisting of an operating system version with add-on packages, language support, and the Python Functions Framework library that supports and invokes your function. This environment is identified by the language version, and is known as the runtime ID.

Function preparation

You can prepare a function directly from the Google Cloud console or write it on your local machine and upload it. To prepare your local machine for Python development, see Set up a Python development environment.

Select your runtime

The latest Python base image target that Cloud Run supports is python312. For the full list of supported runtime versions, and their corresponding base image targets, see Supported language runtimes and base images. You can select the preferred Python runtime for your function during deployment.

You can select a runtime version using the Google Cloud console, or the gcloud CLI. Click the tab for instructions on using the tool of your choice:

gcloud

Specify the Python base image for your function using the --base-image flag, while deploying your function. For example:

gcloud beta run deploy FUNCTION \
    --source . \
    --function FUNCTION_ENTRYPOINT \
    --base-image python312

Replace:

• FUNCTION with the name of the function you are deploying. You can omit this parameter entirely, but you will be prompted for the name if you omit it.

• FUNCTION_ENTRYPOINT with the entry point to your function in your source code. This is the code Cloud Run executes when your function runs. The value of this flag must be a function name or fully-qualified class name that exists in your source code.

For detailed instructions on deploying a function using the gcloud CLI, see Deploy functions in Cloud Run.

Console

You can select a runtime version when you create or update a Cloud Run function in the Google Cloud console. For detailed instructions on deploying a function, see Deploy functions in Cloud Run.

To select a runtime in the Google Cloud console when you create a function, follow these steps:

1. In the Google Cloud console, go to the Cloud Run page:

   Go to Cloud Run

2. Click Write a function.

3. In the Runtime list, select a Python runtime version.

4. Click Create, and wait for Cloud Run to create the service using a placeholder revision.

5. The console will redirect you to the Source tab where you can see the source code of your function. Click Save and redeploy.

For detailed instructions on updating the runtime version after your function is deployed, see Re-deploy new source code.

Source code structure

For Cloud Run functions to find your function's definition, your source code must follow a specific structure. See Write Cloud Run functions for more information.

Specifying dependencies

There are two ways to specify dependencies for Cloud Run functions written in Python: using the pip package manager's requirements.txt file or packaging local dependencies alongside your function. For more information, see Specify dependencies in Python.

Cloud Run functions doesn't support specifying dependencies with the Pipfile/Pipfile.lock, so your project shouldn't include these files.

Environment variables

Your Python runtime automatically sets certain environment variables for your function to use as needed. For details, see Configure environment variables.