proxai 0.2.1

ProxAI is a lightweight abstraction layer for foundational AI model connections.

ProxAI

⚡️ One Interface for Every AI Model! ⚡️

Official Site • Overview • Docs • Community

Philosophy

ProxAI simplifies AI integration by providing a unified interface for connecting to multiple AI providers.

import proxai as px

result = px.generate_text(
    'Hello model! What is 23 + 45?',
    provider_model=('claude', 'sonnet'))
print(result)

result = px.generate_text(
    'Hello model! What is 23 + 45?',
    provider_model=('openai', 'gpt-4o'))
print(result)

• ⭐️ Simple Unified API: Pythonic, easy, intuitive, and unified API for all AI models connection.
• 💡 All Major AI Providers: Including Gemini, OpenAI, Claude, Grok, DeepSeek, Cohere, Mistral, and more.
• 🚀 Always Up-to-Date: Let ProxAI handle all new released model integrations, you just list and pick.
• 💻 Model-agnostic AI development: Write python code without thinking which AI provider and model you will use.

Features

• ⏰ Ready to Start: Takes 2 minutes to connect and get responses from all major models.
• 🔍 Pick and Switch: Experiment with different models to find the best fit.
• ⛑️ Robust Error Handling: Comprehensive error handling for API failures.
• 💾 Caching: Speed up responses and reduce costs with built-in query and model caching.
• 💰 Cost Estimation: Basic tracking of your estimated API call costs breakdown.
• 🥂 Integrations Status: See the status of all your integrations at a glance.
• 📊 Analytics: Total token usage, performance metrics, and more.

Quick Start

Check out our Quick Start Guide for a step-by-step guide on how to get started with ProxAI.

1. Install ProxAI:

   pip install proxai
   

2. Set API Keys:

   Export your AI provider API keys as environment variables:

   export OPENAI_API_KEY="your-openai-key"
   export GEMINI_API_KEY="your-openai-key"
   export ANTHROPIC_API_KEY="your-anthropic-key"
   # Add other provider keys as needed
   

   or, one API key rule them all! ProxConnect🚀

   export PROXAI_API_KEY="your-proxai-key"
   

   See Provider Integrations page.

3. Basic Usage:

   import proxai as px
   
   # Write model agnostic function
   def get_meaning_of_universe():
     response = px.generate_text('What is the meaning of universe?')
     print(response)
   
   # List available models
   provider_models = px.models.list_models()
   
   # Generate response for each model
   for provider_model in provider_models:
     px.set_model(provider_model)
     print(f"Testing {provider_model} model")
     get_meaning_of_universe()
   

📚 Documentation

For full details on installation, all features, and advanced usage, please visit our Overview and Documentation.

📈 ProxDash (Optional Dashboard)

Enhance your ProxAI experience with ProxDash, our optional monitoring platform for usage tracking, analytics, and experiment management. The ProxAI library works perfectly standalone.

🤝 Contribute & Connect

• Community: Learn how to contribute
• Discord: Join our server
• Issues: Report bugs or request features
• GitHub: https://github.com/proxai/proxai

⚖️ License

MIT License. See LICENSE for details.