<p align="center">
  <img src="docs/assets/images/logos/equilink_banner.png" alt="Equilink Logo" width="350">
</p>

# Equilink

Transform your AI workflows with **Equilink** – the intelligent orchestration platform that bridges the gap between different AI models and your applications. Built for developers who need seamless AI integration, Equilink provides a unified framework for managing AI interactions, custom workflows, and automated response systems.

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> **Core Features**  
> 🔄 **Unified AI Interface**: Seamlessly switch between different AI providers without changing your code  
> 🎯 **Smart Routing**: Automatically direct queries to the most suitable AI model based on task requirements  
> 🔗 **Workflow Builder**: Create complex AI interaction patterns with our visual workflow designer  
> 📈 **Performance Analytics**: Track and optimize your AI usage and response quality  
> 🛠️ **Developer-First**: Extensive SDK support with detailed documentation and examples

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## Connect With Us

- 📘 **Documentation**: [docs.equilink.io](https://docs.equilink.io)

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<p align="center">
  <img src="docs/assets/gifs/workflow_demo.gif" alt="Equilink Workflow Demo" width="600">
</p>

## Getting Started

```bash
# Install Equilink using pip
pip install equilink

# Initialize a new project
equilink init my-project

# Start the development server
equilink serve
```

That's it! Visit `http://localhost:3000` to access the Equilink Dashboard.

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## Key Features

### AI Model Integration

Connect to any supported AI provider with a single line of code:

```python
from equilink import AIManager

# Initialize with your preferred provider
ai = AIManager(provider="openai")  # or "anthropic", "google", etc.

# Send queries with automatic routing
response = ai.process("Analyze this market data", context_type="financial")
```

### Workflow Builder

Create sophisticated AI workflows using our intuitive builder:

```python
from equilink import Workflow

workflow = Workflow("data_analysis")
workflow.add_step("data_cleaning", model="gpt-4")
workflow.add_step("analysis", model="claude-2")
workflow.add_step("visualization", model="gemini-pro")

# Execute the workflow
results = workflow.run(input_data=your_data)
```

### Smart Caching

Optimize performance and reduce costs with intelligent response caching:

```python
from equilink import CacheManager

cache = CacheManager()
cache.enable(ttl="1h")  # Cache responses for 1 hour

# Automatically uses cached responses when available
response = ai.process("What's the weather?", use_cache=True)
```

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## Project Structure

```bash
your-project/
├─ workflows/          # Custom workflow definitions
├─ models/            # Model configurations and extensions
├─ cache/             # Cache storage and settings
├─ integrations/      # Third-party service integrations
├─ analytics/         # Performance tracking and reporting
├─ config.yaml        # Project configuration
└─ main.py           # Application entry point
```

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## Configuration

Create a `.env` file in your project root:

```bash
EQUILINK_API_KEY=your_api_key
AI_PROVIDER_KEYS={
    "openai": "sk-...",
    "anthropic": "sk-..."
}
CACHE_STRATEGY="redis"  # or "local", "memcached"
```

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## Use Cases

- 🤖 **Chatbots & Virtual Assistants**: Create intelligent conversational agents
- 📊 **Data Analysis**: Automate complex data processing workflows
- 🔍 **Content Moderation**: Deploy AI-powered content filtering
- 📝 **Document Processing**: Extract and analyze information from documents
- 🎯 **Personalization**: Build adaptive user experiences

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## Getting Help

- 📚 Check our [Documentation](https://docs.equilink.io)
- 💡 Visit our [Examples Repository](https://github.com/equilink/examples)

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## Contributing

Help make Equilink better! We welcome contributions of all sizes:

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Open a pull request

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## License

Equilink is available under the MIT License. See [LICENSE](LICENSE) for more information.

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<p align="center">
  <strong>Ready to transform your AI workflows?</strong><br>
  <a href="https://equilink.io/get-started">Get Started</a> • 
  <a href="https://docs.equilink.io">Documentation</a> • 
  <a href="https://discord.gg/equilink">Community</a>
</p>

_Built with 💡 by developers, for developers_
