GoModel

GoModel is an open-source AI gateway that sits between your application and the AI providers you use. Instead of wiring each provider's SDK directly into your code, you point everything at GoModel's single OpenAI- and Anthropic-compatible endpoint. It handles routing, load balancing, automatic failover, response caching, usage tracking, and budget enforcement — all in one self-hosted binary. Think of it as OpenRouter or LiteLLM, but fully open-source and under your control.

GoModel works by authenticating each incoming request, applying the matching workflow (a scoped set of rules for caching, auditing, guardrails, rate limits, and budgets), and then dispatching the call to the right provider through round-robin or cost-based routing. If a provider fails, it automatically retries with backoff and a circuit breaker, or falls over to the next model. It supports 31 providers including OpenAI, Anthropic, Gemini, Bedrock, Azure, Groq, Ollama, and vLLM. You can define aliases like 'smart-chat' that point to a real model and change it later with a config update — no code changes needed. The built-in admin dashboard gives you live request logs, usage breakdowns, key management, and Prometheus metrics, all without deploying a separate service.

GoModel is built for development teams, platform engineers, and SaaS companies that need to manage AI costs and reliability at scale. If you run a multi-tenant app, you can issue virtual API keys per customer, track usage by user path, and enforce per-tenant budgets. Platform teams can publish stable model aliases and let product teams build features without ever handling provider credentials. And if you need to pass an audit, every request is logged with its resolved route, guardrail versions, and provider attempts. GoModel runs on any machine — laptop, server, or Kubernetes — and starts with SQLite before scaling to PostgreSQL or MongoDB.