Octopus: An Elegant LLM API Aggregation Service with Multi-Model Management and Load Balancing

Octopus is a personal LLM API aggregation service featuring a beautiful, elegant user interface and powerful functionality. The service supports seamless conversion between OpenAI Chat, OpenAI Responses, and Anthropic protocols, allowing users to adapt to different clients with a single configuration without repeatedly updating BASEURL and MODEL_NAME. Its standout features include multi-channel load balancing, unified model naming, CLI client hot-reloading, automatic model price updates, and automatic channel model synchronization. With Octopus, users can efficiently manage multiple AI model channels to achieve optimal resource configuration and utilization. The project is open-source on GitHub, providing developers and AI professionals with a convenient model aggregation solution.