167 lines
4.3 KiB
Markdown
167 lines
4.3 KiB
Markdown
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<p align="center">
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<img src="docs/assets/images/logos/equilink_banner.png" alt="Equilink Logo" width="350">
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</p>
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# Equilink
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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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---
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> **Core Features**
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> 🔄 **Unified AI Interface**: Seamlessly switch between different AI providers without changing your code
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> 🎯 **Smart Routing**: Automatically direct queries to the most suitable AI model based on task requirements
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> 🔗 **Workflow Builder**: Create complex AI interaction patterns with our visual workflow designer
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> 📈 **Performance Analytics**: Track and optimize your AI usage and response quality
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> 🛠️ **Developer-First**: Extensive SDK support with detailed documentation and examples
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---
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## Connect With Us
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- 📘 **Documentation**: [docs.equilink.io](https://docs.equilink.io)
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---
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<p align="center">
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<img src="docs/assets/gifs/workflow_demo.gif" alt="Equilink Workflow Demo" width="600">
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</p>
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## Getting Started
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```bash
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# Install Equilink using pip
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pip install equilink
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# Initialize a new project
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equilink init my-project
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# Start the development server
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equilink serve
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```
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That's it! Visit `http://localhost:3000` to access the Equilink Dashboard.
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---
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## Key Features
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### AI Model Integration
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Connect to any supported AI provider with a single line of code:
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```python
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from equilink import AIManager
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# Initialize with your preferred provider
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ai = AIManager(provider="openai") # or "anthropic", "google", etc.
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# Send queries with automatic routing
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response = ai.process("Analyze this market data", context_type="financial")
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```
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### Workflow Builder
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Create sophisticated AI workflows using our intuitive builder:
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```python
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from equilink import Workflow
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workflow = Workflow("data_analysis")
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workflow.add_step("data_cleaning", model="gpt-4")
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workflow.add_step("analysis", model="claude-2")
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workflow.add_step("visualization", model="gemini-pro")
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# Execute the workflow
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results = workflow.run(input_data=your_data)
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```
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### Smart Caching
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Optimize performance and reduce costs with intelligent response caching:
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```python
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from equilink import CacheManager
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cache = CacheManager()
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cache.enable(ttl="1h") # Cache responses for 1 hour
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# Automatically uses cached responses when available
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response = ai.process("What's the weather?", use_cache=True)
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```
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---
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## Project Structure
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```bash
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your-project/
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├─ workflows/ # Custom workflow definitions
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├─ models/ # Model configurations and extensions
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├─ cache/ # Cache storage and settings
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├─ integrations/ # Third-party service integrations
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├─ analytics/ # Performance tracking and reporting
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├─ config.yaml # Project configuration
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└─ main.py # Application entry point
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```
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---
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## Configuration
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Create a `.env` file in your project root:
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```bash
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EQUILINK_API_KEY=your_api_key
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AI_PROVIDER_KEYS={
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"openai": "sk-...",
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"anthropic": "sk-..."
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}
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CACHE_STRATEGY="redis" # or "local", "memcached"
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```
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---
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## Use Cases
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- 🤖 **Chatbots & Virtual Assistants**: Create intelligent conversational agents
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- 📊 **Data Analysis**: Automate complex data processing workflows
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- 🔍 **Content Moderation**: Deploy AI-powered content filtering
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- 📝 **Document Processing**: Extract and analyze information from documents
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- 🎯 **Personalization**: Build adaptive user experiences
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---
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## Getting Help
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- 📚 Check our [Documentation](https://docs.equilink.io)
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- 💡 Visit our [Examples Repository](https://github.com/equilink/examples)
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---
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## Contributing
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Help make Equilink better! We welcome contributions of all sizes:
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1. Fork the repository
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2. Create a feature branch
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3. Commit your changes
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4. Open a pull request
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---
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## License
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Equilink is available under the MIT License. See [LICENSE](LICENSE) for more information.
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---
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<p align="center">
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<strong>Ready to transform your AI workflows?</strong><br>
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<a href="https://equilink.io/get-started">Get Started</a> •
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<a href="https://docs.equilink.io">Documentation</a> •
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<a href="https://discord.gg/equilink">Community</a>
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</p>
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_Built with 💡 by developers, for developers_
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