OpenQiao Integration Guide for Neovate ​

OpenQiao is an AI model aggregation platform that provides unified access to multiple AI models. This guide shows you how to integrate OpenQiao with Neovate.

Configuration Methods ​

OpenQiao offers two configuration approaches to suit different deployment scenarios:

Method 1: Environment Variable (Recommended) ​

The simplest way to configure OpenQiao is using the OPENQIAO_API_KEY environment variable:

export OPENQIAO_API_KEY=your_openqiao_api_key_here

For Windows users:

set OPENQIAO_API_KEY=your_openqiao_api_key_here

Method 2: Configuration File (Legacy) ​

For users requiring more complex configurations or those migrating from older versions, OpenQiao supports configuration files:

{
  "openqiao": {
    "apiKey": "your_openqiao_api_key_here",
    "api": "https://openqiao.com/api/v1"
  }
}

For more details, refer to the Neovate Configuration Documentation.

Integration Steps ​

1. Install Neovate Code (if not already installed):

   bash

   npm install -g @neovate/code

2. Configure OpenQiao API Key:

   bash

   export OPENQIAO_API_KEY=your_api_key

3. Launch Neovate:

   bash

   neovate
   # or
   neo

4. Select OpenQiao Provider:

   bash

   /login
   # Select OpenQiao from the provider list

5. Choose Your Model:

   bash

   /model
   # Select from available OpenQiao models

Available Features ​

Once configured, you can leverage OpenQiao's model capabilities through Neovate Code:

• Code Generation: Generate code snippets and complete functions
• Bug Fixing: Identify and resolve code issues
• Code Review: Get intelligent code review suggestions
• Test Creation: Generate comprehensive unit tests
• Code Refactoring: Optimize and restructure existing code

Example Usage ​

# Generate error handling
"Add comprehensive error handling to the user authentication service"

# TypeScript migration
"Convert this JavaScript module to TypeScript with proper type definitions"

# Testing
"Create unit tests for the payment processing module with edge cases"

# Performance optimization
"Optimize this SQL query for better performance with large datasets"

Benefits of Using OpenQiao ​

• Model Diversity: Access to multiple AI models through a single interface
• Cost Optimization: Compare and choose models based on performance and pricing
• High Availability: Redundancy across multiple model providers
• Unified API: Consistent interface regardless of the underlying model

Support ​

For OpenQiao-specific issues:

• Visit OpenQiao Documentation

For Neovate integration issues:

• Visit Neovate Documentation
• Submit issues on GitHub