AI Gateway: A Comprehensive Overview
Introduction to AI Gateway
The AI Gateway is an advanced and powerful platform designed to simplify connections to more than 250 language, vision, audio, and image models through a single, unified API. This comprehensive tool is built for production environments, offering features such as caching, fallback support, retries, timeouts, and load balancing, all while allowing edge deployment to minimize latency.
Key Features
- Blazing Speed: The AI Gateway boasts impressive performance, being up to 9.9 times faster than similar solutions, with a compact build size of around 100kb.
- Efficient Load Balancing: It intelligently distributes requests across multiple models, providers, and API keys to maintain high performance and availability.
- Resiliency via Fallbacks: It ensures application resilience by providing automatic fallbacks and exponential retries for failed requests.
- Configurable Timeouts: Manages requests with customizable timeouts to handle unresponsive language models effectively.
- Multimodal Support: The gateway supports routing between different types of models, including vision, text-to-speech, speech-to-text, image generation, and more.
- Middleware Integration: Users can enhance functionalities by plugging in necessary middlewares.
- Proven Performance: It has been thoroughly tested with over 480 billion processed tokens.
- Enterprise Capability: Designed for enhanced security, scalability, and custom deployments suitable for enterprise needs.
Deployment Options
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Hosted Gateway: The easiest and fastest method to leverage the AI Gateway is through the hosted API service provided by Portkey.ai, already in use by prominent companies such as Postman and Haptik.
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Self-hosting the Open Source or Enterprise Versions:
- Open Source: Available under the MIT License, enabling users to run the gateway locally or explore deployment via platforms like Cloudflare, Docker, and Node.js.
- Enterprise Version: This version includes robust features for organizational management, governance, security, and compatibility with private cloud deployments.
Compatibility and Integrations
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The AI Gateway maintains compatibility with the OpenAI API and SDKs, extending support to over 200 large language models.
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Available SDKs include:
- Python SDK: A wrapper over OpenAI's Python SDK with enhancements for wider provider support.
- Node.js SDK: Similar functionality extended for JavaScript or TypeScript developers.
- Direct REST API usage: Provides endpoints compatible with OpenAI with additional capabilities.
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Supported Integrations with Various Programming Languages:
- JavaScript/TypeScript, Python, Go, Java, Rust, and Ruby, each with specific SDKs to streamline the development process.
Additional Resources: Gateway Cookbooks
AI Gateway offers an array of cookbooks to demonstrate real-world applications and integrations with trending topics like Nvidia NIM models or CrewAI Agents. From creating synthetic datasets to monitoring AI models, these resources provide hands-on examples for users to leverage.
Supported Providers and Models
The Gateway seamlessly integrates with 25+ providers, including prestigious names such as OpenAI, Azure, Google, and many more, supporting a broad range of models for diverse use cases.
Advanced Features of Enterprise Version
The enterprise edition enhances reliability and future compatibility while safeguarding data security and privacy. Key features include:
- Secure key management for role-based access and tracking
- Effective caching strategies to reduce costs and expedite response times
- Advanced access control for secure deployment
- Automatic PII redaction to protect sensitive information
- Compliance with standards such as SOC2, ISO, HIPAA, and GDPR
In summary, AI Gateway provides a robust, speedy, and user-friendly platform for connecting with a wide variety of AI models through a unified interface, making it ideal for both individual developers and enterprise-level applications.