Model Router
OpenAI-compatible proxy with intent-based routing
Model Router launched on March 6, 2026.
What it does
Routes LLM requests across Anthropic, OpenAI, Google Gemini, and Grok/xAI. Instead of specifying a model, you specify what you need and how to optimise. The underlying models aren't your problem. - Drop-in OpenAI API replacement (just change your base URL) - Provider blocking — opt out of specific providers (ethical or cost reasons) - Auto-recharge via Stripe when balance runs low - Per-provider circuit breakers for automatic failover Pay-as-you-go. 4% fee on credit deposits.
One endpoint, zero model decisions. Routes across Google, OpenAI, Anthropic, xAI / Grok, and AWS Bedrock — picks the best model for your request, handles failover transparently, and adapts as models improve or fail. $ curl https://api.lxg2it.com/v1/chat/completions \ -H "Authorization: Bearer $KEY" \ -H "Content-Type: application/json" \ -d '{ "model": " standard ", "prefer": " cheap ", "messages": [{"role": "user", "content": "Hello"}] }' Provider APIs are chaos — models launch and deprecate, quotas exhaust, latency spikes, prices shift. You don't need a model catalog. You need requests that just complete, reliably, at the right capability level. We handle the routing, failover, and cost…from api.lxg2it.com
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LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
Any-LLM – Lightweight router to access any LLM Provider2025 · github.com · ▲125We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
GoModel – an open-source AI gateway in GoApr 2026 · github.com · ▲217Hi, I’m Jakub, a solo founder based in Warsaw. I’ve been building GoModel since December with a couple of contributors. It's an open-source AI gateway that sits between your app and model providers like OpenAI, Anthropic or others. I built it for my startup to solve a few problems: - track AI usage and cost per client or team - switch models without changing app code - debug request flows more easily - reduce AI spendings with exact and semantic caching How is it different? - ~17MB docker image - LiteLLM's image is more than 44x bigger ("docker.litellm.ai/berriai/litellm:latest" ~…
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