How can I set custom memory allocation for a Firebase Python function within the code?

You can define runtime options—such as memory or timeout—directly in your function’s source code instead of (or in addition to) making changes via the Cloud Console. For example, when using Firebase Functions v2 in Node.js you can specify memory like this:

JSCopied
const { onDocumentCreated } = require("firebase-functions/v2/firestore");

exports.myFunction = onDocumentCreated(
  {
    memory: "1GiB", // sets memory for this function
    timeoutSeconds: 300,
  },
  (event) => {
    // Function logic here
  }
);

For Python, the syntax is similar:

PYTHONCopied
from firebase_functions import firestore_fn, options

@firestore_fn.on_document_created(timeout_sec=300, memory=options.MemoryOption.GB_1)
def my_function(event):
    # Function logic here

Keep in mind that these runtime options in your source code are the source of truth for each function. That means whenever you change them in your code, you must redeploy the function for the new settings to take effect (they override any external changes you might have made via the Cloud Console). There isn’t currently a way to adjust memory for a function dynamically without triggering a redeploy through code updates.