构建统一的 AI 网关：Ollama 首先架构

In the rapidly evolving landscape of Large Language Models (LLMs), developers face a critical choice between committing to a single provider like OpenAI or managing multiple APIs, such as Anthropic, Mistral, and local LLMs. To address this challenge, a Minimal Unified Model Gateway has been developed in Python, offering a single OpenAI-compatible endpoint that intelligently routes requests to the most suitable model, whether hosted in the cloud or running locally via Ollama. The system is built on FastAPI for high performance and optionally utilizes Rediz for caching. The flow of requests through the system is detailed.