Qwen3 Coder

Use AGCloud models in Qwen3 Coder — a terminal-based AI coding assistant powered by Qwen.

What is Qwen3 Coder?

Qwen3 Coder is a terminal-based AI coding assistant built on Qwen models. It enables developers to write, debug, and refactor code using natural language directly from the command line. Qwen3 Coder supports multiple AI providers through OpenAI-compatible, Anthropic, and Gemini API formats.

With AGCloud, you can use 160+ AI models from top providers (GLM, Kimi, MiniMax, DeepSeek, and more) directly in Qwen3 Coder — all with a single API key.

Step 1: Install Qwen3 Coder

Required Node.js 18+

Install Qwen3 Coder globally via npm:

npm install -g @qwen-code/qwen-code

Verify the installation:

qwen --version # e.g., 0.13.0

Step 2: Configure AGCloud API

Qwen3 Coder supports multiple API providers. Choose one or more based on the models you want to use.

Option A: Environment Variables (Quick Setup)

# OpenAI-compatible provider (supports GLM, Kimi, DeepSeek, etc.)
export OPEN_API_KEY="<YOUR_API_KEY>"
export OPEN_BASE_URL="https://aiandgpu.com/v1"

# Anthropic-compatible provider
export ANTHROPIC_API_KEY="<YOUR_API_KEY>"
export ANTHROPIC_BASE_URL="https://aiandgpu.com"

# Gemini-compatible provider
export GEMINI_API_KEY="<YOUR_API_KEY>"

qwen

$env:OPEN_API_KEY = "<YOUR_API_KEY>"
$env:OPEN_BASE_URL = "https://aiandgpu.com/v1"

$env:ANTHROPIC_API_KEY = "<YOUR_API_KEY>"
$env:ANTHROPIC_BASE_URL = "https://aiandgpu.com"

$env:GEMINI_API_KEY = "<YOUR_API_KEY>"

qwen

You only need to configure the provider(s) you plan to use. For example, if you only want OpenAI-compatible models, you can skip the Anthropic and Gemini variables.

Option B: Permanent Configuration (Recommended)

Add the environment variables to your shell profile so they persist across sessions. Linux/macOS:

# For zsh users
nano ~/.zshrc

# For bash users
nano ~/.bashrc

Add the following lines:

export OPEN_API_KEY="<YOUR_API_KEY>"
export OPEN_BASE_URL="https://aiandgpu.com/v1"
export ANTHROPIC_API_KEY="<YOUR_API_KEY>"
export ANTHROPIC_BASE_URL="https://aiandgpu.com"

Apply the changes:

# zsh users
source ~/.zshrc

# bash users
source ~/.bashrc

Windows (PowerShell - Permanent):

[System.Environment]::SetEnvironmentVariable("OPEN_API_KEY", "<YOUR_API_KEY>", "User")
[System.Environment]::SetEnvironmentVariable("OPEN_BASE_URL", "https://aiandgpu.com/v1", "User")
[System.Environment]::SetEnvironmentVariable("ANTHROPIC_API_KEY", "<YOUR_API_KEY>", "User")
[System.Environment]::SetEnvironmentVariable("ANTHROPIC_BASE_URL", "https://aiandgpu.com", "User")

After setting environment variables on Windows, you need to restart PowerShell for the changes to take effect.

Step 3: Add Configuration File `settings.json`

The configuration file path depends on your operating system:

OS	Path
Linux/macOS	`~/.qwen/settings.json`
Windows	`%USERPROFILE%\.qwen\settings.json`

# Create the directory if it doesn't exist
mkdir -p ~/.qwen

# Create or edit the configuration file
nano ~/.qwen/settings.json

# Create the directory if it doesn't exist
New-Item -ItemType Directory -Force -Path "$env:USERPROFILE\.qwen"

# Create or edit the configuration file
notepad "$env:USERPROFILE\.qwen\settings.json"

Add the following content to settings.json:

{
  "modelProviders": {
    "openai": [
      {
        "id": "gpt-4o",
        "name": "GPT-4o",
        "envKey": "OPEN_API_KEY",
        "baseUrl": "https://aiandgpu.com/v1"
      },
      {
        "id": "gpt-4o-mini",
        "name": "GPT-4o Mini",
        "envKey": "OPEN_API_KEY",
        "baseUrl": "https://aiandgpu.com/v1"
      },
      {
        "id": "gemini-2.5-flash",
        "name": "Gemini 2.5 Flash",
        "envKey": "GEMINI_API_KEY",
        "baseUrl": "https://aiandgpu.com/v1"
      }
    ],
    "anthropic": [
      {
        "id": "claude-sonnet-4-6",
        "name": "Claude Sonnet 4.6",
        "envKey": "ANTHROPIC_API_KEY",
        "baseUrl": "https://aiandgpu.com"
      },
      {
        "id": "claude-opus-4-6",
        "name": "Claude Opus 4.6",
        "envKey": "ANTHROPIC_API_KEY",
        "baseUrl": "https://aiandgpu.com",
        "generationConfig": {
          "timeout": 120000,
          "maxRetries": 3,
          "contextWindowSize": 200000,
          "samplingParams": {
            "temperature": 1,
            "max_tokens": 65535
          }
        }
      }
    ]
  },
  "$version": 3,
  "security": {
    "auth": {
      "selectedType": "anthropic"
    }
  },
  "model": {
    "name": "claude-opus-4-6"
  }
}

Since AGCloud provides an OpenAI-compatible API format, Gemini models should also be placed under the openai provider section in the configuration.

Step 4: Start Using Qwen3 Coder

Launch Qwen3 Coder in your project directory:

cd your-project
qwen

If prompted to select an authentication method, choose the first option Qwen OAuth and press Enter. After logging in, use the /model command to switch to your configured models.

You can use natural language to interact with your codebase:

> Help me refactor the authentication module

> Find and fix the bug in the payment logic

> Write unit tests for the user service

> Explain the architecture of this project

Available Models

Below are the recommended models available through AGCloud:

Model Name	Provider	API Format	Use For
`claude-opus-4-6`	Anthropic	Anthropic	Complex reasoning, full-stack dev
`gemini-3.1-pro-preview`	Google	OpenAI	Multimodal tasks, long context
`gpt-5-codex`	OpenAI	OpenAI	Code generation, agentic tasks
`glm-5`	Zhipu	OpenAI	Complex reasoning, full-stack dev
`kimi-k2.5`	Moonshot	OpenAI	Long context, code analysis
`deepseek-v3.2`	DeepSeek	OpenAI	Code generation, math
`MiniMax-M2.5`	MiniMax	OpenAI	General coding, creative tasks
`qwen3-235b`	Qwen	OpenAI	Multilingual, reasoning

AGCloud supports 160+ models. You can browse all available models at https://aiandgpu.com/v1/models.

FAQ

1. How do I switch between models?

You can select a different model within Qwen3 Coder’s interactive interface, or specify the model via environment variables before launching.

2. Connection issues?

If you encounter connection errors:

Verify your API key is valid at the AGCloud Dashboard
Make sure the BASE_URL is set correctly (no trailing slash)
Test connectivity:

curl https://aiandgpu.com/v1/models \
  -H "Authorization: Bearer <YOUR_API_KEY>"

3. Node.js version too old?

Qwen3 Coder requires Node.js 18+. Update using nvm:

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
nvm install 22
nvm use 22

Resource Links

AGCloud Dashboard: developer.aiandgpu.com
Node.js Download: nodejs.org
Qwen3 Document: qwen-code-docs

Getting started

How to use

What is Qwen3 Coder?

Step 1: Install Qwen3 Coder

Step 2: Configure AGCloud API

Option A: Environment Variables (Quick Setup)

Option B: Permanent Configuration (Recommended)

Step 3: Add Configuration File `settings.json`

Step 4: Start Using Qwen3 Coder

Available Models

FAQ

1. How do I switch between models?

2. Connection issues?

3. Node.js version too old?

Resource Links

​What is Qwen3 Coder?

​Step 1: Install Qwen3 Coder

​Step 2: Configure AGCloud API

​Option A: Environment Variables (Quick Setup)

​Option B: Permanent Configuration (Recommended)

​Step 3: Add Configuration File settings.json

​Step 4: Start Using Qwen3 Coder

​Available Models

​FAQ

​1. How do I switch between models?

​2. Connection issues?

​3. Node.js version too old?

​Resource Links

What is Qwen3 Coder?

Step 1: Install Qwen3 Coder

Step 2: Configure AGCloud API

Option A: Environment Variables (Quick Setup)

Option B: Permanent Configuration (Recommended)

Step 3: Add Configuration File `settings.json`

Step 4: Start Using Qwen3 Coder

Available Models

FAQ

1. How do I switch between models?

2. Connection issues?

3. Node.js version too old?

Resource Links