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can i deploy livekit's python based backend script...
# ask-ai
s
can i deploy livekit's python based backend script on render while the frontend is hosted on vercel
t
Thanks for reaching out, Nakshatra. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Hey there! You can totally deploy your LiveKit app with a Python backend on Render and the frontend on Vercel. Here’s a simple way to do it: Backend (Python) on Render: • Render makes it easy to deploy LiveKit agents using Docker containers. Just create a Dockerfile for your Python backend and set it up following Render’s instructions. • Don’t forget to set up a 
render.yaml
file for deployment and add your LiveKit environment variables in your Render environment group. Frontend on Vercel: • Vercel is great for hosting LiveKit frontends. You can deploy your Next.js frontend with their handy one-click deployment. • Make sure to configure your LiveKit environment variables in your Vercel project settings. This approach fits perfectly with LiveKit’s recommended architecture and examples. If you want, I’m here to help you out with any part of it! Sources: render.com/render.yaml | README.md | README.md
s
what are the steps to host the backend python script on render?
t
Here’s a friendly guide to help you host your Python backend script for LiveKit on Render: 1. Get your files ready: ◦ Start by copying the 
render.yaml
file from the agent-deployment example into the root of your project. This file sets up the service configuration Render needs. ◦ Make sure you have a Dockerfile in your project’s root folder. If you don’t have one yet, you can check out examples in the 
python-agent-example-app
directory to get started. 1. Set up your environment variables: ◦ Head over to your Render dashboard and create an environment group named 
agent-example-env
(or pick another name you like, just remember to update the 
render.yaml
file accordingly). ◦ Add these environment variables to that group:These help your Python agent connect smoothly to LiveKit. ▪︎ 
LIVEKIT_URL
▪︎ 
LIVEKIT_API_KEY
▪︎ 
LIVEKIT_API_SECRET
1. Time to deploy: ◦ Commit your 
render.yaml
and Dockerfile to your repository. ◦ Then, create a new service in Render by following these steps: i. Log in to your Render dashboard. ii. Create a new Blueprint and select your repository. iii. Render will spot the 
render.yaml
file and set everything up for you. 1. Check that everything’s running smoothly: ◦ Make sure your service is up and healthy in the Render dashboard. ◦ Take a peek at the Logs section to confirm your Python agent is starting without issues. Just a few extra tips: • If needed, update the 
region
in 
render.yaml
(it defaults to Virginia). • Feel free to tweak the scaling settings in 
render.yaml
to match your workload. • If you’re on the free plan, remember your repository needs to be public since private services aren’t supported. Got questions or need a hand with any step? Just let me know—I’m here to help! Sources: render.com/README.md
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