Qwen Code Integration

Configure Qwen Code to use Adaptive’s intelligent routing infrastructure that automatically selects the optimal AI model for each coding task.

Intelligent model selection with automatic routing. Works as a drop-in replacement for Qwen Code’s API backend, providing access to multiple AI providers (Claude, GPT-4, etc.) with cost optimization and intelligent routing built-in.

Benefits of Using Qwen Code with Adaptive

When you integrate Qwen Code with Adaptive, you unlock powerful capabilities:

Multi-Provider Access: Access Claude, GPT-4, Gemini, and other providers through a single interface
Intelligent Model Selection: Adaptive automatically routes requests to the optimal model based on task complexity, language, and context
Cost Optimization: Save 60-80% on API costs through intelligent routing and model selection
Higher Reliability: Automatic fallbacks across providers ensure consistent responses
Enhanced Performance: Load balancing and circuit breakers for optimal throughput
Usage Analytics: Monitor model usage, costs, and performance in real-time

Get Your Adaptive API Key

Visit llmadaptive.uk to create an account and generate your API key.

Quick Setup

Run Automated Installer

curl -fsSL https://raw.githubusercontent.com/Egham-7/adaptive/main/scripts/installers/qwen-code.sh | bash

The installer will automatically:

Install Qwen Code if not present (via npm)
Configure OpenAI-compatible environment variables for Adaptive
Add configuration to your shell profile (~/.bashrc, ~/.zshrc, etc.)
Verify the installation

Verify Configuration

qwen --version
echo $OPENAI_API_KEY
echo $OPENAI_BASE_URL

Start Using

qwen
# Or start with a prompt
qwen "help me refactor this function"

Adaptive will automatically route your request to the optimal model for coding tasks.

Manual Installation

If you prefer to set up Qwen Code manually or need more control over the installation process:

Step 1: Install Qwen Code

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

Qwen Code requires Node.js 20 or higher. Check your version with node --version.

Step 2: Configure Environment Variables

Qwen Code uses OpenAI-compatible API configuration:

# Qwen Code with Adaptive LLM API Configuration
export OPENAI_API_KEY="your-adaptive-api-key-here"  # qwen-code
export OPENAI_BASE_URL="https://www.llmadaptive.uk/api/v1"  # qwen-code
export OPENAI_MODEL="intelligent-routing"  # qwen-code - for automatic model selection

Step 3: Apply Configuration

# For Bash/Zsh
source ~/.bashrc  # or ~/.zshrc

# For Fish
source ~/.config/fish/config.fish

# Or restart your terminal

Step 4: Verify Installation

qwen --version
qwen "test connection"

Alternative Setup Methods

export ADAPTIVE_API_KEY='your-api-key-here'
curl -fsSL https://raw.githubusercontent.com/Egham-7/adaptive/main/scripts/installers/qwen-code.sh | bash
# The installer will automatically configure your shell

Advanced Configuration

Model Selection with Adaptive

Configure which provider and model to use by default:

# Let Adaptive choose the optimal model for each task
export OPENAI_MODEL='intelligent-routing'
qwen "complex algorithm optimization"

Intelligent Routing

When OPENAI_MODEL is set to "intelligent-routing" or empty, Adaptive intelligently selects the best model for each task based on:

Task Complexity: Analyzes prompt complexity to select the optimal model
Language & Framework: Matches model strengths to programming languages
Code Context: Understands codebase size and complexity
Performance Requirements: Balances speed and quality
Cost Optimization: Automatically minimizes costs while maintaining quality
Provider Availability: Automatic fallback if a provider is unavailable

Available Model Providers

Provider	Models	Best For	Speed	Cost
Qwen	qwen-plus, qwen-turbo	Code generation, Asian languages	Fast	Low
Anthropic	Claude Sonnet 4	Complex reasoning, refactoring	Medium	Medium
OpenAI	GPT-4, GPT-4 Turbo	General coding, documentation	Medium	Higher
Google	Gemini Pro, Flash	Code review, analysis	Fast	Medium
DeepSeek	deepseek-coder	Code completion, debugging	Fast	Low

Usage Examples

Code Understanding & Editing

cd your-project/
qwen

# Architecture analysis
> Describe the main pieces of this system's architecture
> What are the key dependencies and how do they interact?
> Find all API endpoints and their authentication methods

Workflow Automation

# Analyze git commits from the last 7 days, grouped by feature
> git log --since="7 days ago" --pretty=format:"%h - %s" --graph

# Create a changelog from recent commits
> Generate a CHANGELOG.md from commits since last release

# Find all TODO comments and create GitHub issues
> Find all TODO comments and create corresponding issues

Session Management

Control your token usage with configurable session limits:

# Create or edit .qwen/settings.json in your home directory
{
  "sessionTokenLimit": 32000
}

Session token limit applies to a single conversation, not cumulative API calls.

Vision Model Support

Qwen Code includes automatic vision model detection for image analysis:

# Include images in your queries
qwen "Analyze this UI screenshot and suggest improvements" --image screenshot.png

# Vision model will automatically switch when images are detected

# Configure behavior in .qwen/settings.json
{
  "experimental": {
    "vlmSwitchMode": "once" // "once", "session", "persist", or omit for interactive
  }
}

Integration with Adaptive Features

Cost Optimization

Intelligent Model Routing

Adaptive automatically routes your requests to the most cost-effective model that meets quality requirements:Before Adaptive: Fixed model costs

GPT-4: $0.03/1K tokens (input) +$ 0.06/1K tokens (output)
Claude Sonnet: $0.003/1K tokens (input) +$ 0.015/1K tokens (output)

With Adaptive: Intelligent routing saves 60-80%

Simple queries → Qwen Turbo: $0.0008/1K tokens
Moderate tasks → Qwen Plus: $0.002/1K tokens
Complex reasoning → Claude Sonnet: $0.003/1K tokens

Example Savings:

1M tokens/month without Adaptive: ~$45
1M tokens/month with Adaptive: ~$12
Monthly savings: $33 (73% reduction)

Semantic Caching

Adaptive caches similar requests to reduce API calls:How it works:

Semantic similarity detection for code queries
Automatic cache hits for similar questions
Configurable cache TTL and similarity threshold

Cost Impact:

Cache hit rate: 30-40% for typical dev workflows
Additional savings: 20-30% on top of intelligent routing
Zero latency for cached responses

Load Balancing

Distribute requests across providers for optimal performance:Benefits:

Higher rate limits through multi-provider distribution
Automatic failover if one provider is down
Geographic routing for lower latency
Cost-optimized provider selection

Performance Impact:

99.9% uptime with automatic failover
50% higher effective rate limits
20-30% latency reduction with geographic routing

Troubleshooting

Installation Issues

Problem: Qwen Code installation failsSolutions:

Ensure Node.js 20+ is installed: node --version

Install Node.js if needed:

# Using nvm (recommended)
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash
nvm install 22

Check npm permissions: npm config get prefix
Try with sudo (not recommended): sudo npm install -g @qwen-code/qwen-code
Clear npm cache: npm cache clean --force

Authentication Errors

Problem: “Unauthorized” or “Invalid API key” errorsSolutions:

Verify your API key at llmadaptive.uk/dashboard

Check environment variables are set:

echo $OPENAI_API_KEY
echo $OPENAI_BASE_URL
echo $OPENAI_MODEL

Ensure variables are exported in your shell config:

# Bash/Zsh
source ~/.bashrc  # or ~/.zshrc

# Fish
source ~/.config/fish/config.fish

Restart your terminal if changes were made to shell config
Verify the base URL is correct: https://www.llmadaptive.uk/api/v1
Check for the # qwen-code comment to ensure correct environment variables

Connection Errors

Problem: Cannot connect to Adaptive APISolutions:

Check internet connectivity
Verify base URL is correct: echo $OPENAI_BASE_URL

Test API directly:

curl -X POST https://www.llmadaptive.uk/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "intelligent-routing",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Check if your network/firewall blocks the API endpoint
Try using a different network or VPN

Model Routing Issues

Problem: Requests not routing to expected modelsSolutions:

Check current model configuration:
```
echo $OPENAI_MODEL
```
Use intelligent routing for automatic selection:
```
export OPENAI_MODEL='intelligent-routing'
```

Verify provider:model format:

export OPENAI_MODEL='qwen:qwen-plus'  # Correct
export OPENAI_MODEL='qwen-plus'       # Incorrect

Check Adaptive dashboard for routing logs and model availability
Review model names match supported providers

Performance Issues

Problem: Slow response times or timeoutsSolutions:

Check Adaptive dashboard for provider status
Verify rate limits aren’t exceeded
Use faster models for simple tasks:
```
export OPENAI_MODEL='qwen:qwen-turbo'
```
Enable semantic caching for repeated queries
Check your internet connection speed
Review model selection—Qwen Turbo and Flash models are faster
Consider load balancing configuration in Adaptive dashboard

Session Token Limits

Problem: Hitting token limits in long sessionsSolutions:

Configure higher session limits in .qwen/settings.json:
```
{
  "sessionTokenLimit": 64000
}
```
Use session compression to reduce token usage:
```
/compress
```
Clear conversation history and start fresh:
```
/clear
```
Monitor token usage:
```
/stats
```
Break large tasks into smaller sessions

Uninstallation

If you need to remove Qwen Code or revert configuration:

Remove Qwen Code

npm uninstall -g @qwen-code/qwen-code

Remove Environment Variables

Edit your shell config file and remove these lines:

# Qwen Code with Adaptive LLM API Configuration
export OPENAI_API_KEY="..." # qwen-code
export OPENAI_BASE_URL="..." # qwen-code
export OPENAI_MODEL="..." # qwen-code

Reload Shell Configuration

source ~/.bashrc # or ~/.zshrc or ~/.config/fish/config.fish

Next Steps

Monitor Usage & Savings

Track your cost savings and usage analytics in real-time

API Documentation

Learn about Adaptive’s API capabilities and advanced features

More CLI Tools

Explore other CLI tools with Adaptive integration

Advanced Routing

Learn about intelligent model routing and load balancing

Monitor Usage & Savings

Track your cost savings and usage analytics in real-time

API Documentation

Learn about Adaptive’s API capabilities and advanced features

More CLI Tools

Explore other CLI tools with Adaptive integration

Advanced Routing

Learn about intelligent model routing and load balancing

Was this page helpful? Contact us at info@llmadaptive.uk for feedback or assistance with your Qwen Code integration.

Getting Started

Framework Integrations

Developer Tools

Key Features

API Reference

Examples & Use Cases

Support

Qwen Code Integration

Benefits of Using Qwen Code with Adaptive

Get Your Adaptive API Key

Quick Setup

Manual Installation

Step 1: Install Qwen Code

Step 2: Configure Environment Variables

Step 3: Apply Configuration

Step 4: Verify Installation

Alternative Setup Methods

Advanced Configuration

Model Selection with Adaptive

Intelligent Routing

Available Model Providers

Usage Examples

Code Understanding & Editing

Workflow Automation

Session Management

Vision Model Support

Integration with Adaptive Features

Cost Optimization

Troubleshooting

Uninstallation

Next Steps

Monitor Usage & Savings

API Documentation

More CLI Tools

Advanced Routing

Monitor Usage & Savings

API Documentation

More CLI Tools

Advanced Routing

Getting Started

Framework Integrations

Developer Tools

Key Features

API Reference

Examples & Use Cases

Support

​Benefits of Using Qwen Code with Adaptive

​Get Your Adaptive API Key

​Quick Setup

​Manual Installation

​Step 1: Install Qwen Code

​Step 2: Configure Environment Variables

​Step 3: Apply Configuration

​Step 4: Verify Installation

​Alternative Setup Methods

​Advanced Configuration

​Model Selection with Adaptive

​Intelligent Routing

​Available Model Providers

​Usage Examples

​Code Understanding & Editing

​Workflow Automation

​Session Management

​Vision Model Support

​Integration with Adaptive Features

​Cost Optimization

​Troubleshooting

​Uninstallation

​Next Steps

Monitor Usage & Savings

API Documentation

More CLI Tools

Advanced Routing

Monitor Usage & Savings

API Documentation

More CLI Tools

Advanced Routing

Benefits of Using Qwen Code with Adaptive

Get Your Adaptive API Key

Quick Setup

Manual Installation

Step 1: Install Qwen Code

Step 2: Configure Environment Variables

Step 3: Apply Configuration

Step 4: Verify Installation

Alternative Setup Methods

Advanced Configuration

Model Selection with Adaptive

Intelligent Routing

Available Model Providers

Usage Examples

Code Understanding & Editing

Workflow Automation

Session Management

Vision Model Support

Integration with Adaptive Features

Cost Optimization

Troubleshooting

Uninstallation

Next Steps