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Hey everyone, does anyone have experience deployin...
# ask-ai
s
Hey everyone, does anyone have experience deploying an agent on Render.com? I built the agent in Python and the frontend in React, using a cloud LiveKit server. I generate the token on the frontend and make the agent auto-join. When I deployed the frontend, it works fine. But when I try to connect the agent, I can't pass the metadata and token from the frontend to the backend. The message says the agent is "here", but no data is being sent to configure it. I’m thinking it might be a CORS issue or something else, I’m not sure. And I don't know how to fix it! It’s an urgent matter, so I’d really appreciate any help!
t
Thanks for reaching out, Jimmy. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To deploy your Python agent on Render.com and resolve the metadata and token passing issues, follow these steps: 1. Set Up Deployment: • Create a 
render.yaml
file to define your service configuration, including environment variables for LiveKit credentials (URL, API key, and secret). • Ensure your Python agent code and Dockerfile are properly structured for deployment. • Use Render's dashboard to create a new Blueprint pointing to your repository, which will apply the configuration automatically. 2. Handle Metadata and Token Passing: • Use the LiveKit Python SDK to generate access tokens with metadata. Ensure the metadata is included in the token and accessible by the agent when it joins the room. • Example metadata format: 
{"user_id": "12345", "role": "admin"}
. • Ensure your frontend correctly passes the token to the backend, and the backend uses it to configure the agent. 3. Debugging and CORS: • Check your CORS settings on the backend to ensure the frontend can communicate with it. • Use Render's logging tools to monitor and troubleshoot any issues during deployment or runtime. If you need further assistance with specific steps or configurations, let me know! Sources: render.com/render.yaml | examples/agent_dispatch.py | Authentication | LiveKit Docs | Authentication | LiveKit Docs | Deploying to production | LiveKit Docs
s
My backend is only the agent so how I can check this cors?
t
Since your backend is just the agent, you can tackle CORS issues by making sure of the following: 1. CORS Middleware: • If your agent is built with a framework like Flask, you can easily add CORS support using the 
flask-cors
library:
Copy code
from flask_cors import CORS
CORS(app)
• This will let your frontend make cross-origin requests smoothly. 2. Test CORS Configuration: • Try using tools like 
curl
or your browser’s developer tools to send an OPTIONS request to your agent and check the response headers. 3. WebRTC Headers: • Make sure your frontend sets the right WebRTC headers. For example, if you’re using Next.js, you can add these headers in `next.config.js`:
Copy code
headers: async () => {
    return [
        {
            source: '/(.*)',
            headers: [
                { key: 'Cross-Origin-Opener-Policy', value: 'same-origin' },
                { key: 'Cross-Origin-Embedder-Policy', value: 'credentialless' },
            ],
        },
    ];
}
If you want, I’m here to help you with implementing or testing these steps—just let me know! Sources: test/singlenode_test.go | complex-agents/ivr-agent/ivr-agent-frontend/vite.config.ts | JavaScript & React Components | livekit/livekit_composite | DeepWiki | tools/server/tests/unit/test_security.py
s
I don't have backend I just have the livekit agent python and react frontend
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!
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