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Open Source • Unity 2021.3+ Compatible

Unity AI NPC Debugging Toolkit

Professional AI Response Validation & Character Consistency

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Unity 2021.3+ C# ScriptableObjects AI Integration ChatGPT Claude Gemini

Comprehensive AI Debugging Features

AI Response Validation

Real-time validation of AI responses against character profiles, ensuring consistency and quality.

Content Filtering

Multi-level content safety system with customizable filters for age-appropriate responses.

Performance Monitoring

Track response times, API usage, and error rates with detailed metrics and reporting.

Visual Debugging

Scene view indicators and editor integration for real-time debugging during development.

Smart Caching

Intelligent response caching system to reduce API calls and improve performance.

ScriptableObject Config

Easy-to-use character profiles using Unity's ScriptableObject system for designers.

Technical Specifications

Unity Version

2021.3 LTS or higher

Programming Language

C# with async/await

Architecture

Component-based with ScriptableObjects

AI Platforms

ChatGPT, Claude, Gemini

Configuration

ScriptableObject profiles

Performance

Minimal overhead (<1ms)

License

MIT (Open Source)

Package Format

Unity Package Manager compatible

Perfect for Your Game Development Needs

From RPG characters to educational content, ensure your AI NPCs deliver consistent, appropriate responses

RPG Character Development

Ensure NPCs maintain personality and lore consistency

Educational Game QA

Validate AI responses for age-appropriate content

Story-Driven Adventures

Track narrative consistency across branching dialogues

Production Debugging

Monitor and analyze AI behavior in live games

Simple Integration

Unity C# Example
              // Configure your NPC with ScriptableObject
[SerializeField] private CharacterProfile merchantProfile;
[SerializeField] private AiResponseDebugger debugger;

// Process player input with full debugging
public async Task ProcessPlayerInput(string input) {
    // Automatic validation and filtering
    var response = await npcSystem.ProcessInput(input);
    
    // Real-time metrics and debugging
    debugger.LogDebugEntry(input, response, validation);
}
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Frequently Asked Questions

Everything you need to know about the Unity AI NPC Debugging Toolkit

Frequently Asked Questions

Q:

What AI platforms does this toolkit support?

The toolkit supports ChatGPT (OpenAI), Claude (Anthropic), and Google Gemini out of the box. The modular architecture allows easy integration of additional AI providers through the LlmManager system. Each platform has its own debugger component with platform-specific optimizations and error handling.
Q:

How does character consistency tracking work?

The system uses ScriptableObject profiles to define character traits, vocabulary, knowledge boundaries, and emotional states. It validates every AI response against these parameters, checking for: vocabulary consistency, era-appropriate language, banned phrases, emotional tone matching, and knowledge boundary violations. Failed validations trigger fallback responses to maintain immersion.
Q:

What performance impact does the debugging have?

The toolkit is optimized for production use with minimal overhead:
  • • Response validation: <0.5ms per check
  • • Content filtering: <0.3ms per response
  • • Metrics collection: <0.1ms per request
  • • Memory usage: ~2MB for 1000 cached responses
  • • All heavy operations use async/await
  • • Visual debugging only in editor mode
Q:

Can I use this in a commercial game?

Yes! The MIT license allows full commercial use. You can modify, distribute, and use the toolkit in any project without restrictions. Many developers use it in published games on Steam, mobile app stores, and console platforms. We only ask that you keep the attribution in the source files.
Q:

How do I set up content filtering?

The AiContentFilter component provides multi-level content safety. Configure it through the inspector with: safety levels (Strict, Family-Friendly, Teen, Mature), custom blocked words, topic filtering (violence, sensitive topics), and regex-based pattern matching. The system includes smart fallback responses when content is filtered, maintaining conversation flow.
Q:

What debugging features are available?

The toolkit includes comprehensive debugging tools: real-time response logs with timing data, validation failure breakdowns, visual scene view indicators, performance metrics dashboard, conversation history tracking, JSON export for analysis, and Unity Editor integration with custom inspectors. Use the DebugLog export feature to analyze patterns across sessions.
Q:

Does it support multiplayer games?

Yes! The toolkit is designed for both single-player and multiplayer scenarios. Each NPC instance maintains its own state, conversation history, and metrics. For high-traffic multiplayer games, use the included AiRequestQueue component to manage API rate limits and prioritize requests. The system handles concurrent requests efficiently with proper async/await patterns.
Q:

How do I optimize for mobile platforms?

The toolkit is mobile-optimized with several features: response caching to reduce API calls, configurable history limits to manage memory, async operations to prevent frame drops, optional feature toggling for performance, and efficient ScriptableObject usage. Most mobile games see <5MB memory usage with full features enabled. Disable visual debugging for additional performance gains.

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