How to Build a QwenPaw Agent Workspace with Custom Skills, Model Providers, Console Access, and Streaming API Testing
In this tutorial, we implement a QwenPaw workflow that provides a practical environment for building and testing an agent-powered assistant. We install and initialize QwenPaw, configure its working directory, set up authentication, connect optional model providers via Colab secrets, and create a structured workspace with custom skills and local knowledge files. We also launch the QwenPaw Console via a Colab-accessible URL, expose it through an optional Cloudflare tunnel, and test the streaming
Make your prediction
Will Alibaba release a new Qwen model version before July 13, 2026?
Resolves by Jul 13, 2026
Your prediction
50% · 50/50 coin flip
NOYES
Get smart on it
The lesson for this story is being written.
Related news
India’s MoEngage bets that the future of marketing is millions of AI agents
The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.
Google Home will soon get better at recognizing you
A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut
