Enterprise AI Gateway

Ferro Labs AI Gateway is an open-source enterprise solution designed to centralize and manage API traffic for production large language model (LLM) applications. It acts as a governed routing layer between applications and a catalog of 2,505 models from 83 providers, all accessible through a single OpenAI-compatible endpoint. The platform is built to unify provider routing, policy enforcement, cost controls, and observability, offering a standardized interface for AI teams deploying LLMs in production environments.

Key features include provider routing with smart fallbacks and retries, policy and rate-limit controls, semantic caching using vector similarity, and real-time observability with metrics, traces, and logs. The gateway supports governance controls such as API keys, JWT authentication, keys and limits, audit logs, and guardrails for compliance and security. Built-in plugins provide safety measures like word filtering, token limits, and spend budgets. Conditional routing and A/B testing are supported for data-driven model selection, and model aliases enable hot-swapping models without code changes. The system is designed for low latency, with a p99 gateway overhead of approximately 2 milliseconds, and can sustain 14,000 requests per second.

Delivery options include both self-hosted and cloud deployments, with the software written in Go for efficient performance. The gateway is compatible with major LLM providers such as OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral, Hugging Face, Groq, Perplexity, and Azure, allowing teams to switch providers or models without application rewrites or SDK changes. js, Python, and Go, as well as REST and cURL interfaces.

0 open-source license, with all core routing strategies and plugins available in the open-source tier. It is suitable for startups, enterprises, and developers seeking transparent infrastructure, centralized LLM access, and operational control over AI traffic in their preferred environment.