Show HN: Llmbridge, a C++ LLM gateway with sub-millisecond overhead (github.com)

A new tool named Llmbridge has been launched, offering a remarkably efficient C++ LLM gateway that allows users to seamlessly route OpenAI API requests to different model providers with minimal overhead. Llmbridge operates with microsecond translation times, achieving sub-millisecond latency at a peak throughput of 84,000 requests per second (RPS) on a single core, making it highly suitable for time-sensitive applications such as trading systems and voice interfaces. This gateway can be deployed as a standalone binary or embedded directly into applications, making it a versatile solution for developers. The significance of Llmbridge within the AI/ML community lies in its ability to streamline access to multiple language model providers without necessitating changes to existing OpenAI-compatible client applications. By supporting various models like Anthropic, Gemini, and Cohere while ensuring a dependency-free core build, Llmbridge enhances the flexibility of AI solution implementations. Its open-core architecture paves the way for advanced features such as prompt caching and multi-provider routing while maintaining a robust performance profile that emphasizes low latency and high throughput, ultimately enabling developers to optimize their AI applications efficiently.