Building LLM Apps can require working in online coding environments, like Colab, due to local environment limitations (e.g. running pytorch on older Macs). This can cause long dev cycles when deploying the app to production, as ported changes can only be tested once it is deployed after lengthy (>20min+) Docker builds.

Berri lets you deploy directly from your coding environment, eliminating the need to download, transfer your code to a wrapper, deploy and debug. Taking an LLM app from your notebook and sharing it with people is made easy.

How it works?

Just install the package, import the function, and run deploy.

At the end of the deploy (~10-15mins), you will get: A web app to interact with your agent https://agent-repo-35aa2cf3-a0a1-4cf8-834f-302e5b7fe07e-4524...

An endpoint you can query https://agent-repo-35aa2cf3-a0a1-4cf8-834f-302e5b7fe07e-4524... is obama?"

Want a more detailed walkthrough? Check out our loom - https://www.loom.com/share/fd4375b4a77f4ea7802369cb06a16d43

We’re still early so would love your feedback and opinions. Feel free to try us out for free – and if you need help building an agent / want a specific integration, just let us know!