Stream Blog

We released support for Google’s new Gemini 3 models inside Vision Agents — the open-source Python framework for building real-time voice and video AI applications. In this 3-minute video demo, you’ll see how to spin up a fully functional vision-enabled voice agent that can see your screen (or webcam), reason with Gemini 3 Pro Preview,

This tutorial demonstrates how to build an electronic device setup and repair assistant in Python with voice capabilities using Qwen3-VL hosted on Baseten. The assistant analyzes what a user shows on camera (like cables, ports, device components, or error states) and guides them step-by-step through setup or repair tasks. It’s designed to reduce confusion during

Velocity is one of those words that shows up in every leadership deck and every product kickoff. But in practice, it behaves more like bubbles escaping a can of La Croix. The moment you try to hold onto it, it’s gone. What remains is a backlog that looks less like a roadmap and more like

You might not be using AI agents yet, but you will soon. They’ll schedule your meetings, analyze your data, write your code, and automate your workflows. However, to accomplish any of this, they need to access your calendar, data, code, and systems. Large language models can do this the same way any software talks to

It’s been just over a month since we released the first version of Vision Agents, our new open-source framework designed to help developers quickly build video AI applications using their favourite AI tool and Stream. Since the initial release, we’ve been hard at work adding new plugins, simplifying the code, and working with the community

Thinking… Ruminating… Billowing… Wibbling… Cerebrating… These words invented by AI companies to mask processing are all very cute, but in reality, they’re all just apologetic loading states. When ChatGPT shows "thinking" or Claude displays "ruminating," they’re admitting their models aren’t ready to interact with you yet. For text chat, a few seconds of delay feels

There was a time when the only weapon in the chat moderator’s arsenal was a simple keyword list. You would be adding new words and phrases to your filters as they came up, always in reactive mode. Maybe you have regexes to help. Perhaps you build out a team. But you’re always chasing the latest

This article aims to help you build AI agents powered by memory, knowledgebase, tools, and reasoning and chat with them using the command line and beautiful agent UIs. What is an Agent? Large language models (LLMs) can automate complex and sequential workflows and tasks. For example, you can use LLMs to build assistants that can