Deploy a Qwen‑Powered AI Assistant on Alibaba Cloud Function Compute in 5 Minutes

Overview

This guide shows how to deploy a Qwen‑based AI assistant on Alibaba Cloud Function Compute using the open‑source ChatGPT‑Next‑Web client. The assistant runs as a serverless application, with Function Compute handling request routing and converting Qwen responses into a streaming format for a smooth UI experience.

Prerequisites

A Function Compute trial or paid account.

An API‑KEY for the Qwen model, obtained from the DashScope console (https://dashscope.console.aliyun.com/overview).

A password that will protect the client UI (e.g., fc-qwen).

Deployment Steps

Open the Function Compute console.

Navigate to Application → Create Application → Artificial Intelligence → Qwen AI Assistant and click Create .

Select Direct Deploy .

In the Advanced Configuration section, paste the Qwen API‑KEY obtained earlier.

Enter the client access password you chose and confirm.

Submit the form and wait for the service to finish deploying.

Accessing the Assistant

After deployment succeeds, open the generated URL that starts with client. The browser will prompt for the password you set; enter it to reach the assistant UI.

Implementation Details

The front‑end uses the open‑source ChatGPT‑Next‑Web client (GitHub repository: https://github.com/Yidadaa/ChatGPT-Next-Web) to interact with the commercial Qwen service. Function Compute provides a middle‑layer that receives the Qwen JSON response, transforms it into a Server‑Sent Events (SSE) stream, and forwards it to the client, enabling real‑time, incremental display of the model’s output.

Extending the Setup

This minimal example demonstrates that a large language model can be integrated into a serverless workflow with only a few clicks. Developers can extend the configuration by adding custom middleware, integrating additional APIs, or modifying the ChatGPT‑Next‑Web source to support richer interaction patterns.