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Your Cloud Run function runs in an environment consisting of an
operating system version with add-on packages, language support, and
thePython Functions Frameworklibrary 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, seeSet up a Python development environment.
You can select one of the supported Python runtimes 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 thePython base imagefor your function using the--base-imageflag,
while deploying your function. For example:
gcloud run deployFUNCTION\
--source . \
--functionFUNCTION_ENTRYPOINT\
--base-image python313
Replace:
FUNCTIONwith 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_ENTRYPOINTwith 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.
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, seeDeploy functions in Cloud Run.
To select a runtime in the Google Cloud console when you create a function, follow these steps:
In the Google Cloud console, go to the Cloud Run page:
In theRuntimelist, select a Python runtime version.
ClickCreate, and wait for Cloud Run to create the service
using a placeholder revision.
The console will redirect you to theSourcetab where you can see the source code of your function. ClickSave and redeploy.
For detailed instructions on updating the runtime version after your function is
deployed, seeRe-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. SeeWrite Cloud Run functionsfor
more information.
Specifying dependencies
There are two ways to specify dependencies for Cloud Run functions
written in Python: using thepippackage manager'srequirements.txtfile or
packaging local dependencies alongside your function. For more information, seeSpecify dependencies in Python.
Cloud Run functions doesn't support specifying dependencies with
thePipfile/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, seeConfigure environment
variables.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# The Python runtime\n\nYour Cloud Run function runs in an environment consisting of an\noperating system version with add-on packages, language support, and\nthe [Python Functions Framework](https://github.com/GoogleCloudPlatform/functions-framework-python)\nlibrary that supports and invokes your function. This environment is identified\nby the language version, and is known as the runtime ID.\n\nFunction preparation\n--------------------\n\nYou can prepare a function directly from the Google Cloud console or write it on\nyour local machine and upload it. To prepare your local machine for Python\ndevelopment, see [Set up a Python development environment](/python/docs/setup).\n\nSupported Python runtimes and base images\n-----------------------------------------\n\nSelect your runtime\n-------------------\n\nYou can select one of the supported Python runtimes for your function during\ndeployment.\n\n\nYou can select a runtime version using the Google Cloud console, or the\ngcloud CLI. Click the tab for instructions on using the tool of\nyour choice: \n\n### gcloud\n\nSpecify the [Python base image](/run/docs/configuring/services/runtime-base-images#how_to_obtain_base_images) for your function using the `--base-image` flag,\nwhile deploying your function. For example: \n\n gcloud run deploy \u003cvar translate=\"no\"\u003eFUNCTION\u003c/var\u003e \\\n --source . \\\n --function \u003cvar translate=\"no\"\u003eFUNCTION_ENTRYPOINT\u003c/var\u003e \\\n --base-image python313\n\nReplace:\n\n- \u003cvar translate=\"no\"\u003eFUNCTION\u003c/var\u003e with the name of the function you are\n deploying. You can omit this parameter entirely,\n but you will be prompted for the name if you omit it.\n\n- \u003cvar translate=\"no\"\u003eFUNCTION_ENTRYPOINT\u003c/var\u003e with the entry point to your function in\n your source code. This is the code Cloud Run executes when your\n function runs. The value of this flag must be a function name or\n fully-qualified class name that exists in your source code.\n\nFor detailed instructions on deploying a function using the gcloud CLI, see [Deploy functions in Cloud Run](/run/docs/deploy-functions#gcloud).\n\n### Console\n\nYou can select a runtime version when you create or update a Cloud Run function in the Google Cloud console. For detailed\ninstructions on deploying a function, see [Deploy functions in Cloud Run](/run/docs/deploy-functions#deploy-functions).\n\nTo select a runtime in the Google Cloud console when you create a function, follow these steps:\n\n1. In the Google Cloud console, go to the Cloud Run page:\n\n [Go to Cloud Run](https://console.cloud.google.com/run)\n2. Click **Write a function**.\n\n3. In the **Runtime** list, select a Python runtime version.\n\n4. Click **Create**, and wait for Cloud Run to create the service\n using a placeholder revision.\n\n5. The console will redirect you to the **Source**\n tab where you can see the source code of your function. Click **Save and redeploy**.\n\nFor detailed instructions on updating the runtime version after your function is\ndeployed, see\n[Re-deploy new source code](/run/docs/deploy-functions#update-code-functions).\n\nSource code structure\n---------------------\n\nFor Cloud Run functions to find your function's definition, your\nsource code must follow a specific structure. See\n[Write Cloud Run functions](/run/docs/write-functions#python) for\nmore information.\n\nSpecifying dependencies\n-----------------------\n\nThere are two ways to specify dependencies for Cloud Run functions\nwritten in Python: using the `pip` package manager's `requirements.txt` file or\npackaging local dependencies alongside your function. For more information, see\n[Specify dependencies in Python](/run/docs/runtimes/python-dependencies).\n\nCloud Run functions doesn't support specifying dependencies with\nthe `Pipfile/Pipfile.lock`, so your project shouldn't include these files.\n\nEnvironment variables\n---------------------\n\nYour Python runtime automatically sets certain environment variables for your\nfunction to use as needed. For details, see [Configure environment\nvariables](/run/docs/configuring/services/environment-variables)."]]
