Innies Coder

AI-powered command-line workflow tool for developers

Installation • Quick Start • Features • Documentation • Contributing

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Innies Coder is a powerful command-line AI workflow tool adapted from Gemini CLI (details), specifically optimized for Qwen3-Coder models. It enhances your development workflow with advanced code understanding, automated tasks, and intelligent assistance.

💡 Free Options Available

Get started with Innies Coder at no cost using any of these free options:

🔥 Qwen OAuth (Recommended)

• 2,000 requests per day with no token limits
• 60 requests per minute rate limit
• Simply run qwen and authenticate with your qwen.ai account
• Automatic credential management and refresh
• Use /auth command to switch to Qwen OAuth if you have initialized with OpenAI compatible mode

🌏 Regional Free Tiers

• Mainland China: ModelScope offers 2,000 free API calls per day
• International: OpenRouter provides up to 1,000 free API calls per day worldwide

For detailed setup instructions, see Authorization.

[!WARNING] Token Usage Notice: Innies Coder may issue multiple API calls per cycle, resulting in higher token usage (similar to Claude Code). We're actively optimizing API efficiency.

Key Features

• Code Understanding & Editing - Query and edit large codebases beyond traditional context window limits
• Workflow Automation - Automate operational tasks like handling pull requests and complex rebases
• Enhanced Parser - Adapted parser specifically optimized for Qwen-Coder models
• Vision Model Support - Automatically detect images in your input and seamlessly switch to vision-capable models for multimodal analysis

Installation

Prerequisites

Ensure you have Node.js version 20 or higher installed.

curl -qL https://www.npmjs.com/install.sh | sh

Install from npm

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

Install from source

git clone https://github.com/QwenLM/qwen-code.git
cd qwen-code
npm install
npm install -g .

Install globally with Homebrew (macOS/Linux)

brew install qwen-code

Quick Start

# Start Innies Coder
qwen

# Example commands
> Explain this codebase structure
> Help me refactor this function
> Generate unit tests for this module

Session Management

Control your token usage with configurable session limits to optimize costs and performance.

Configure Session Token Limit

Create or edit .innies/settings.json in your home directory:

{
  "sessionTokenLimit": 32000
}

Session Commands

• /compress - Compress conversation history to continue within token limits
• /clear - Clear all conversation history and start fresh
• /stats - Check current token usage and limits

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

Vision Model Configuration

Qwen Code includes intelligent vision model auto-switching that detects images in your input and can automatically switch to vision-capable models for multimodal analysis. This feature is enabled by default - when you include images in your queries, you'll see a dialog asking how you'd like to handle the vision model switch.

Skip the Switch Dialog (Optional)

If you don't want to see the interactive dialog each time, configure the default behavior in your .innies/settings.json:

{
  "experimental": {
    "vlmSwitchMode": "once"
  }
}

Available modes:

• "once" - Switch to vision model for this query only, then revert
• "session" - Switch to vision model for the entire session
• "persist" - Continue with current model (no switching)
• Not set - Show interactive dialog each time (default)

Command Line Override

You can also set the behavior via command line:

# Switch once per query
qwen --vlm-switch-mode once

# Switch for entire session
qwen --vlm-switch-mode session

# Never switch automatically
qwen --vlm-switch-mode persist

Disable Vision Models (Optional)

To completely disable vision model support, add to your .innies/settings.json:

{
  "experimental": {
    "visionModelPreview": false
  }
}

💡 Tip: In YOLO mode (--yolo), vision switching happens automatically without prompts when images are detected.

Authorization

Choose your preferred authentication method based on your needs:

1. Qwen OAuth (🚀 Recommended - Start in 30 seconds)

The easiest way to get started - completely free with generous quotas:

# Just run this command and follow the browser authentication
qwen

What happens:

1. Instant Setup: CLI opens your browser automatically
2. One-Click Login: Authenticate with your qwen.ai account
3. Automatic Management: Credentials cached locally for future use
4. No Configuration: Zero setup required - just start coding!

Free Tier Benefits:

• ✅ 2,000 requests/day (no token counting needed)
• ✅ 60 requests/minute rate limit
• ✅ Automatic credential refresh
• ✅ Zero cost for individual users
• ℹ️ Note: Model fallback may occur to maintain service quality

2. OpenAI-Compatible API

Use API keys for OpenAI or other compatible providers:

Configuration Methods:

1. Environment Variables

   export OPENAI_API_KEY="your_api_key_here"
   export OPENAI_BASE_URL="your_api_endpoint"
   export OPENAI_MODEL="your_model_choice"

2. Project .env File Create a .env file in your project root:

   OPENAI_API_KEY=your_api_key_here
   OPENAI_BASE_URL=your_api_endpoint
   OPENAI_MODEL=your_model_choice

API Provider Options

⚠️ Regional Notice:

• Mainland China: Use Alibaba Cloud Bailian or ModelScope
• International: Use Alibaba Cloud ModelStudio or OpenRouter

Option 1: Alibaba Cloud Bailian (Apply for API Key)

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
export OPENAI_MODEL="qwen3-coder-plus"

Option 2: ModelScope (Free Tier) (Apply for API Key)

• ✅ 2,000 free API calls per day
• ⚠️ Connect your Aliyun account to avoid authentication errors

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://api-inference.modelscope.cn/v1"
export OPENAI_MODEL="Qwen/Qwen3-Coder-480B-A35B-Instruct"

Option 1: Alibaba Cloud ModelStudio (Apply for API Key)

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
export OPENAI_MODEL="qwen3-coder-plus"

Option 2: OpenRouter (Free Tier Available) (Apply for API Key)

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://openrouter.ai/api/v1"
export OPENAI_MODEL="qwen/qwen3-coder:free"

Usage Examples

🔍 Explore Codebases

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

💻 Code Development

# Refactoring
> Refactor this function to improve readability and performance
> Convert this class to use dependency injection
> Split this large module into smaller, focused components

# Code generation
> Create a REST API endpoint for user management
> Generate unit tests for the authentication module
> Add error handling to all database operations

🔄 Automate Workflows

# Git automation
> Analyze git commits from the last 7 days, grouped by feature
> Create a changelog from recent commits
> Find all TODO comments and create GitHub issues

# File operations
> Convert all images in this directory to PNG format
> Rename all test files to follow the *.test.ts pattern
> Find and remove all console.log statements

🐛 Debugging & Analysis

# Performance analysis
> Identify performance bottlenecks in this React component
> Find all N+1 query problems in the codebase

# Security audit
> Check for potential SQL injection vulnerabilities
> Find all hardcoded credentials or API keys

Popular Tasks

📚 Understand New Codebases

> What are the core business logic components?
> What security mechanisms are in place?
> How does the data flow through the system?
> What are the main design patterns used?
> Generate a dependency graph for this module

🔨 Code Refactoring & Optimization

> What parts of this module can be optimized?
> Help me refactor this class to follow SOLID principles
> Add proper error handling and logging
> Convert callbacks to async/await pattern
> Implement caching for expensive operations

📝 Documentation & Testing

> Generate comprehensive JSDoc comments for all public APIs
> Write unit tests with edge cases for this component
> Create API documentation in OpenAPI format
> Add inline comments explaining complex algorithms
> Generate a README for this module

🚀 Development Acceleration

> Set up a new Express server with authentication
> Create a React component with TypeScript and tests
> Implement a rate limiter middleware
> Add database migrations for new schema
> Configure CI/CD pipeline for this project

Commands & Shortcuts

Session Commands

• /help - Display available commands
• /clear - Clear conversation history
• /compress - Compress history to save tokens
• /stats - Show current session information
• /exit or /quit - Exit Qwen Code

Keyboard Shortcuts

• Ctrl+C - Cancel current operation
• Ctrl+D - Exit (on empty line)
• Up/Down - Navigate command history

Benchmark Results

Terminal-Bench Performance

| Agent | Model | Accuracy | | --------- | ------------------ | -------- | | Qwen Code | Qwen3-Coder-480A35 | 37.5% | | Qwen Code | Qwen3-Coder-30BA3B | 31.3% |

Development & Contributing

See CONTRIBUTING.md to learn how to contribute to the project.

For detailed authentication setup, see the authentication guide.

Troubleshooting

If you encounter issues, check the troubleshooting guide.

Acknowledgments

This project is based on Google Gemini CLI. We acknowledge and appreciate the excellent work of the Gemini CLI team. Our main contribution focuses on parser-level adaptations to better support Qwen-Coder models.

License

LICENSE

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