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Configuration Jan 27, 2025 10 min read

Models & Providers

Understand the different AI models and providers available in GamineAI, and how to choose the best one for your game development needs.

By GamineAI Team

GamineAI supports multiple AI providers and models, each with different strengths for game development tasks. Understanding these options helps you choose the best model for your specific needs.

Provider Comparison

Provider Best For Cost Speed
OpenAI Creative content, dialogue, complex reasoning Higher Fast
DeepSeek Code generation, technical tasks Lower Very Fast
Anthropic Long-form content, analysis Medium Medium

Model Recommendations by Use Case

Level Design & World Building

  • OpenAI GPT-4 - Best for creative, detailed level descriptions
  • DeepSeek Coder - Excellent for procedural generation algorithms
  • Anthropic Claude - Great for complex, interconnected world systems

NPC Dialogue & Storytelling

  • OpenAI GPT-4 - Superior creative writing and character development
  • Anthropic Claude - Excellent for long-form narrative content
  • DeepSeek - Good for dialogue trees and branching conversations

Code Generation & Technical Tasks

  • DeepSeek Coder - Specialized for code generation and debugging
  • OpenAI GPT-4 - Strong general-purpose coding assistance
  • Anthropic Claude - Great for code review and optimization

Choosing the Right Model

For Beginners

Start with OpenAI GPT-4 - it's the most versatile and well-documented option with excellent results across all game development tasks.

For Cost-Conscious Developers

Use DeepSeek - it offers excellent performance at a fraction of the cost, especially for code generation tasks.

For Advanced Users

Consider Anthropic Claude for complex, long-form content generation and analysis tasks.

Model Configuration Tips

Temperature Settings

  • 0.1-0.3 - For consistent, predictable outputs (code generation)
  • 0.7-0.9 - For creative, varied content (dialogue, stories)
  • 1.0+ - For highly experimental, creative tasks

Token Limits

  • Small tasks - 500-1000 tokens
  • Medium content - 2000-4000 tokens
  • Large documents - 8000+ tokens

Best Practices

  1. Start simple - Begin with basic prompts and iterate
  2. Use examples - Provide clear examples of what you want
  3. Be specific - Clearly define your requirements
  4. Test different models - Try various models for different tasks
  5. Monitor costs - Keep track of your API usage and costs

Troubleshooting Model Issues

Common Problems

  • Model not responding - Check API key and network connection
  • Incomplete responses - Increase max_tokens parameter
  • Poor quality output - Adjust temperature and try different models
  • Rate limiting - Wait and try again, or upgrade your plan

Getting Help

If you're having trouble with a specific model:

  1. Check the provider's documentation
  2. Verify your API key is valid
  3. Try a different model for comparison
  4. Contact support if issues persist

For more troubleshooting help, see our troubleshooting guides.