AxonHub is a production-grade, multi-provider LLM API gateway that routes, transforms, and manages requests to a wide range of AI providers (OpenAI, Anthropic, Gemini, DeepSeek, xAI, and 60+ others). It provides a unified API surface for chat completions, embeddings, moderations, audio, images, and video generation, with sophisticated features like load balancing (latency-aware, weighted round-robin, circuit breaker), per-channel rate limiting, provider quota enforcement, streaming, and reasoning token handling. The backend is written in Go using Gin, Ent ORM, gqlgen, and Uber Fx for dependency injection, supporting PostgreSQL, MySQL, and SQLite with automatic migration. The frontend is a comprehensive React/TypeScript SPA (Vite, TanStack Router/Query, Tailwind, shadcn/ui) that provides administration of channels, models, API keys, users, roles, projects, and system settings. It includes analytics dashboards, request tracing, usage logs, and OIDC SSO. The system is designed for multi-tenancy with fine-grained RBAC (scope-based permissions) and privacy policies enforced at the Ent ORM layer. Deployment is supported via Docker, Docker Compose, and Helm charts. The codebase exhibits strong engineering practices: extensive unit and integration tests (including race-condition tests and E2E Playwright tests), pipeline middleware for request transformation, generic caching abstractions, stream processing utilities, and a Zanzibar-inspired authorization framework. While there are minor issues (duplicate utility packages, a typo in a folder name, and some frontend boilerplate repetition), the overall architecture is clean, modular, and well-documented. The project is actively maintained with frequent commits, issue triage, and a clear release process.