ai-model-registry

AI Model Registry

Your single source of truth for AI model IDs across all major providers.

Stop your code from breaking when AI providers update, rename, or deprecate models. AI Model Registry tracks the latest model IDs so your applications and agents stay up-to-date automatically.

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🎯 Why AI Model Registry?

AI providers constantly update their models:

• ✅ New models released (GPT-4o, Claude Sonnet 4, Gemini 2.0)
• ⚠️ Models renamed (gpt-4-turbo-preview → gpt-4-turbo)
• 🔄 Models deprecated (gpt-3.5-turbo → gpt-4o-mini)
• 📅 Model IDs change (claude-3-opus-20240229 → claude-opus-4-20250514)

Without AI Model Registry:

• ❌ Your code breaks when providers update model IDs
• ❌ You manually track which models are available
• ❌ You hardcode model IDs that become outdated
• ❌ Your AI agents use deprecated models

With AI Model Registry:

• ✅ Always use the latest recommended model IDs
• ✅ Get notified when models are deprecated
• ✅ Track model status (active, legacy, deprecated)
• ✅ Prevent breaking changes in production

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🚀 Quick Start

Installation

Python Package

pip install ai-model-registry

REST API

No installation needed! Use the REST API directly:

curl https://ai-model-registry.vercel.app/latest/openai

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📦 Usage

Python Package

from ai_model_registry import get_latest_model, get_all_models

# Get the recommended model for a provider
model = get_latest_model("anthropic")
print(model)  # claude-sonnet-4-20250514

# Get all models with status
models = get_all_models(provider="openai", status="active")

REST API

# Get recommended model for a provider
curl https://ai-model-registry.vercel.app/latest/anthropic

# Get all models
curl https://ai-model-registry.vercel.app/models

# Get OpenAI models only
curl https://ai-model-registry.vercel.app/models?provider=openai

# Get only active models
curl https://ai-model-registry.vercel.app/models?status=active

# Get specific model details
curl https://ai-model-registry.vercel.app/models/openai/gpt-4o

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🌐 API Endpoints

Response Example

{
  "provider": "anthropic",
  "model_id": "claude-sonnet-4-20250514",
  "status": "active",
  "context": 200000,
  "updated": "2025-01-24"
}

Status Values

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🎨 Supported Providers

• OpenAI - GPT-4o, GPT-4 Turbo, o1, o3-mini
• Anthropic - Claude 4 (Opus, Sonnet, Haiku)
• Google - Gemini 2.0 Flash, Gemini 1.5 Pro
• Mistral - Mistral Large, Codestral
• Groq - Llama 3.3, Mixtral

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🎯 Integration with Cursor AI

Setup .cursorrules for Your Project

Create a .cursorrules file in your project root to ensure Cursor AI always uses the latest model IDs:

# AI Model Registry Integration
# This ensures all AI API calls use current model IDs

Before writing any code that calls AI provider APIs (OpenAI, Anthropic, Google, Mistral, Groq):
1. Check ai-model-registry for the latest model IDs
2. Use: curl https://ai-model-registry.vercel.app/latest/{provider}
3. Never hardcode model IDs - always verify they are current

Providers to check:
- OpenAI: https://ai-model-registry.vercel.app/latest/openai
- Anthropic: https://ai-model-registry.vercel.app/latest/anthropic
- Google: https://ai-model-registry.vercel.app/latest/google
- Mistral: https://ai-model-registry.vercel.app/latest/mistral
- Groq: https://ai-model-registry.vercel.app/latest/groq

🌟 Pro Tip: Website Integration

Add to your documentation site or developer portal:

Create a button: "Generate .cursorrules for my project"

This button generates a .cursorrules file that:

• Automatically configures Cursor AI to check AI Model Registry
• Ensures developers always use current model IDs
• Prevents API errors from deprecated models
• Works across all AI providers

Example Implementation:

// When button clicked, generate and download .cursorrules file
function generateCursorRules() {
  const content = `# AI Model Registry Integration
Before writing code with AI APIs, check: https://ai-model-registry.vercel.app/latest/{provider}`;
  
  const blob = new Blob([content], { type: 'text/plain' });
  const url = URL.createObjectURL(blob);
  const a = document.createElement('a');
  a.href = url;
  a.download = '.cursorrules';
  a.click();
}

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🔧 Development

Run Locally

# Clone the repository
git clone https://github.com/Venkatesh188/ai_model_registry.git
cd ai_model_registry

# Install dependencies
pip install -r requirements.txt

# Run the API
uvicorn api.index:app --reload

Open http://localhost:8000/docs for interactive API documentation (Swagger UI).

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🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

How to contribute:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

What to contribute:

• Add new AI providers (Cohere, Perplexity, etc.)
• Update model information (new releases, deprecations)
• Improve documentation
• Add client libraries (JavaScript, Go, Rust, etc.)

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📄 License

MIT - See LICENSE for details.

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🔗 Links

• PyPI Package: ai-model-registry
• REST API: https://ai-model-registry.vercel.app/
• GitHub: Venkatesh188/ai_model_registry
• Issues: Report a bug or request a feature

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Made with ❤️ for the AI developer community