GPTRouter provides a unified gateway for interacting with multiple Large Language Models (LLMs) and image generation models, aiming to enhance reliability and reduce latency for AI-powered applications. It is designed for developers and businesses seeking to avoid vendor lock-in and maintain service continuity by seamlessly switching between providers like OpenAI, Anthropic, and Azure.

How It Works

GPTRouter acts as a proxy, abstracting away the complexities of individual model APIs. It employs a "smart fallback" mechanism, automatically rerouting requests to alternative models if the primary choice becomes unavailable or experiences errors. This approach ensures uninterrupted service and can also be configured to optimize for speed by routing requests to the fastest available model for a given task.

Quick Start & Requirements

• Install: pip install gptrouter or conda install gptrouter -c conda-forge
• Prerequisites: API keys for desired AI models.
• Setup: Requires obtaining an API key via a form and running the server locally or using a preview deployment.
• Docs: GPTRouter Documentation
• Getting Started: Getting Started Guide

Highlighted Details

• Supports OpenAI, Azure OpenAI, Anthropic, Replicate, Stable Diffusion, Dalle-3, and Cohere.
• Offers universal API access and automatic retries for failed requests.
• Designed for fast and responsive interactions, targeting latency reduction.
• Future integrations planned for Langchain and LlamaIndex.

Maintenance & Community

Developed by Writesonic, with an invitation for community contributions. Links to GitHub and a website are provided.

Licensing & Compatibility

The README does not explicitly state the license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

Streaming is not supported for image models (Stable Diffusion, Dalle-3). The project is actively under development with more models and features planned.