Show HN: WatchLLM – Semantic caching to cut LLM API costs by 70% (www.watchllm.dev)

WatchLLM has announced a new solution featuring intelligent semantic caching that can significantly reduce API costs for accessing large language models (LLMs) by up to 70%. The tool provides a seamless way for developers to integrate with multiple AI providers, including OpenAI and Claude, by simply changing their API endpoint to WatchLLM. This caching mechanism intercepts requests at the edge, checks for similar past queries in a Redis vector database, and returns cached responses with a latency of under 50ms if available, or forwards the request to the original provider if not. This development is significant for the AI/ML community as it addresses rising costs associated with LLM usage, making advanced AI more accessible for projects of all sizes. By enabling real-time analytics and offering built-in enterprise security features, WatchLLM ensures reliable and efficient AI integration. With a user-friendly "bring your own key" option for direct access to premium models and transparent pricing plans that start for free, WatchLLM is poised to enhance the cost-effectiveness of leveraging AI technologies across various applications.