LLM forwarding service for efficient API proxying
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OpenAI-Forward is an efficient, asynchronous reverse proxy service for large language models, designed to manage and optimize API requests. It targets developers and organizations looking to streamline access to LLMs, whether self-hosted or cloud-based, by providing features like rate limiting, intelligent caching, and API key management, ultimately reducing costs and improving response times.
How It Works
Leveraging Python's asyncio
, uvicorn
, and aiohttp
, OpenAI-Forward offers high-performance asynchronous request handling. It supports forwarding requests to various LLM backends, including OpenAI and local models like LocalAI, through configurable routes. Key features include intelligent prediction caching (using FlaxKV backend in recent versions), granular user request and token rate limiting, custom API key forwarding, multi-target routing, IP-based black/whitelisting, and automatic request retries for enhanced stability.
Quick Start & Requirements
pip install openai-forward
or pip install openai-forward[webui]
for UI support.aifd run
or aifd run --webui
to start the service.Highlighted Details
extra_body
for OpenAI-type forwards.Maintenance & Community
The project is actively maintained, with recent updates focusing on performance (FlaxKV cache) and usability (Web UI). Community contributions are welcomed via pull requests and issue reporting.
Licensing & Compatibility
Licensed under the MIT License, permitting commercial use and integration with closed-source applications.
Limitations & Caveats
Version 0.7.0 introduced breaking changes in configuration compared to previous versions. While flexible, the "general" forwarding type does not support custom API keys.
4 months ago
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