A unified interface for various LLM providers
Project description
ModelsHub
A unified interface for various Large Language Model (LLM) providers, making it easy to work with different LLM APIs in a consistent way.
Installation
pip install modelshub
Quick Start
from modelshub import Gemini, OpenAI, Groq, Anthropic
# Initialize any model
model = Gemini(api_key="your-api-key")
# or
model = OpenAI(api_key="your-api-key")
# or
model = Groq(api_key="your-api-key")
# or
model = Anthropic(api_key="your-api-key")
# Use the model
response = model.generate("What is the capital of France?")
print(response)
Features
- Unified interface for multiple LLM providers
- Easy to use and extend
- Production-ready implementation
- Consistent API across different providers
- Built on top of LangChain for maximum compatibility
Supported Models
- Google Gemini
- OpenAI
- Groq
- Anthropic Claude
- (More coming soon!)
Environment Variables
You can set your API keys as environment variables:
export GOOGLE_API_KEY="your-google-api-key"
export OPENAI_API_KEY="your-openai-api-key"
export GROQ_API_KEY="your-groq-api-key"
export ANTHROPIC_API_KEY="your-anthropic-api-key"
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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