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Flask · Python

Fix RequestEntityTooLarge: 413 Request Entity Too Large in Flask

This error occurs when an uploaded file exceeds Flask's MAX_CONTENT_LENGTH setting, which defaults to unlimited but is commonly set low. The request is rejected before your handler runs. Fix it by increasing MAX_CONTENT_LENGTH to an appropriate limit, validating file size client-side, and handling the 413 error gracefully with a custom error handler.

Reading the Stack Trace

Traceback (most recent call last): File "/app/venv/lib/python3.12/site-packages/flask/app.py", line 1498, in __call__ return self.wsgi_app(environ, start_response) File "/app/venv/lib/python3.12/site-packages/flask/app.py", line 1476, in wsgi_app response = self.handle_exception(e) File "/app/venv/lib/python3.12/site-packages/flask/app.py", line 1455, in handle_exception reraise(exc_type, exc_value, tb) File "/app/venv/lib/python3.12/site-packages/flask/app.py", line 869, in full_dispatch_request rv = self.dispatch_request() File "/app/venv/lib/python3.12/site-packages/werkzeug/exceptions.py", line 223, in __call__ raise self werkzeug.exceptions.RequestEntityTooLarge: 413 Request Entity Too Large

Here's what each line means:

Common Causes

1. MAX_CONTENT_LENGTH set too low

The app configuration limits uploads to a size smaller than the file being uploaded.

app.config['MAX_CONTENT_LENGTH'] = 1 * 1024 * 1024  # 1 MB — too small for images

2. No error handler for 413

The app does not register a handler for the 413 status code, so Flask returns a bare HTML error page.

# No @app.errorhandler(413) registered
# Users see raw werkzeug HTML error page

3. No client-side validation

The upload form has no size check, so users wait for the full upload before getting an error.

<form method='POST' enctype='multipart/form-data'>
  <input type='file' name='photo'>
  <button type='submit'>Upload</button>
</form>

The Fix

Increase MAX_CONTENT_LENGTH to an appropriate limit for your use case (e.g., 16 MB for image uploads) and add a custom error handler that returns a clear JSON response instead of a raw HTML error page.

Before (broken)
app.config['MAX_CONTENT_LENGTH'] = 1 * 1024 * 1024  # 1 MB
After (fixed)
app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024  # 16 MB

@app.errorhandler(413)
def too_large(e):
    return jsonify({'error': 'File is too large. Maximum size is 16 MB.'}), 413

Testing the Fix

import pytest
import io
from app import create_app

@pytest.fixture
def client():
    app = create_app()
    app.config['TESTING'] = True
    app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024
    return app.test_client()

def test_upload_within_limit_succeeds(client):
    data = {'file': (io.BytesIO(b'x' * 1024), 'small.txt')}
    response = client.post('/upload', data=data, content_type='multipart/form-data')
    assert response.status_code in (200, 201)

def test_upload_exceeding_limit_returns_413(client):
    # Simulate oversized content-length header
    app = client.application
    app.config['MAX_CONTENT_LENGTH'] = 1024  # 1 KB for test
    data = {'file': (io.BytesIO(b'x' * 2048), 'big.txt')}
    response = client.post('/upload', data=data, content_type='multipart/form-data')
    assert response.status_code == 413

Run your tests:

pytest tests/ -v

Pushing Through CI/CD

git checkout -b fix/flask-file-upload-413,git add app/__init__.py app/config.py,git commit -m "fix: increase upload limit and add 413 error handler",git push origin fix/flask-file-upload-413

Your CI config should look something like this:

name: CI
on:
  pull_request:
    branches: [main]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'
          cache: 'pip'
      - run: pip install -r requirements.txt
      - run: pytest tests/ -v --tb=short
      - run: flake8 app/

The Full Manual Process: 18 Steps

Here's every step you just went through to fix this one bug:

  1. Notice the error alert or see it in your monitoring tool
  2. Open the error dashboard and read the stack trace
  3. Identify the file and line number from the stack trace
  4. Open your IDE and navigate to the file
  5. Read the surrounding code to understand context
  6. Reproduce the error locally
  7. Identify the root cause
  8. Write the fix
  9. Run the test suite locally
  10. Fix any failing tests
  11. Write new tests covering the edge case
  12. Run the full test suite again
  13. Create a new git branch
  14. Commit and push your changes
  15. Open a pull request
  16. Wait for code review
  17. Merge and deploy to production
  18. Monitor production to confirm the error is resolved

Total time: 30-60 minutes. For one bug.

Or Let bugstack Fix It in Under 2 minutes

Every step above? bugstack does it automatically.

Step 1: Install the SDK

pip install bugstack

Step 2: Initialize

import bugstack

bugstack.init(api_key=os.environ["BUGSTACK_API_KEY"])

Step 3: There is no step 3.

bugstack handles everything from here:

  1. Captures the stack trace and request context
  2. Pulls the relevant source files from your GitHub repo
  3. Analyzes the error and understands the code context
  4. Generates a minimal, verified fix
  5. Runs your existing test suite
  6. Pushes through your CI/CD pipeline
  7. Deploys to production (or opens a PR for review)

Time from error to fix deployed: Under 2 minutes.

Human involvement: zero.

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Deploying the Fix (Manual Path)

  1. Run pytest locally to verify uploads within the new limit succeed and oversized uploads return 413.
  2. Open a pull request with the config and error handler changes.
  3. Wait for CI checks to pass on the PR.
  4. Have a teammate review and approve the PR.
  5. Merge to main and test file uploads in staging.

Frequently Asked Questions

BugStack tests uploads at the boundary, below, and above the size limit, verifies the error handler returns proper JSON, and runs your full test suite before marking it safe.

BugStack never pushes directly to production. Every fix goes through a pull request with full CI checks, so your team can review it before merging.

It depends on your use case. 16 MB is reasonable for image uploads, 100 MB for video. Always pair it with a reverse proxy limit (e.g., nginx client_max_body_size).

Yes. It applies to all incoming request data, not just file uploads. If your API accepts large JSON payloads, factor that in.