1-Click Deploy for Langchain LLM Agents from Google Colab to Web-App
We’ve just released Berri AI - a Python package https://github.com/ClerkieAI/berri_ai that makes it easy for developers to quickly deploy their LLM Agent from Google Colab to production (Web App and API Endpoint). 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…
1-Click Deploy for Langchain LLM Agents from Google Colab to Web-App launched on February 2, 2023 with 21 votes, #1,290 of 3,829 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
Berri AI is a Python package that enables developers to deploy Langchain LLM agents directly from Google Colab to production web applications and API endpoints. It streamlines the development process by eliminating lengthy Docker builds and the need to transfer code between environments. Developers install the package, import a function, and run deploy to share their LLM applications. The tool targets developers working in online coding environments who face constraints with local setups.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We’ve just released Berri AI - a Python package https://github.com/ClerkieAI/berri_ai that makes it easy for developers to quickly deploy their LLM Agent from Google Colab to production (Web App and API Endpoint). Building LLM Apps can require working in online coding environments, like Colab, due…
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