📄 中文摘要
现代应用程序越来越多地集成了依赖大型语言模型（LLM）的 AI 功能，这些模型通常通过 API 进行访问。当应用程序向模型发送提示并接收响应时，这一请求通常会经过外部服务。如今，访问不同的 LLM 模型变得更加容易。OpenAI 和 Anthropic 等提供商提供模型 API，而 Amazon Bedrock 和 Google Vertex AI 等平台则可以集中访问多个模型。这种多样化的接入方式使得应用程序能够连接到更多的 LLM，从而提升了其功能和灵活性。
通过 Bifrost 在不同提供商之间运行 LLM 应用
出处: Running LLM Applications Across Providers with Bifrost
发布: 2026年3月17日
📄 English Summary
Running LLM Applications Across Providers with Bifrost
Modern applications increasingly integrate AI features that rely on large language models (LLMs) accessed via APIs. When an application sends a prompt to a model and receives a response, the request typically goes through an external service. Accessing different LLM models has become easier today. Providers like OpenAI and Anthropic offer model APIs, while platforms such as Amazon Bedrock and Google Vertex AI allow centralized access to multiple models. This diversified access enables applications to connect to a wider range of LLMs, enhancing their functionality and flexibility.