LLM Router · One API for every provider
Dev tool that worries about your LLM API failures.
LLM Router · One API for every provider launched on August 3, 2026 with 3 votes, #2,940 of 23,274 launches that month and more than 50% of that year's launches.
What it does
A self-hosted LLM gateway for routing OpenAI, Anthropic, Codex, Claude Code, and OpenAI-compatible requests across 26 providers with automatic failover. Minimum overhead, minimum latency gap, 100% failsafe.
A self-hosted LLM gateway for routing OpenAI, Anthropic, Codex, Claude Code, and OpenAI-compatible requests across 26 providers with automatic failover.
Route OpenAI, Claude Code, Codex, and compatible SDKs through one stable gateway. Automatically fail over when models, quotas, or providers let you down. Plus Hugging Face, SambaNova, SiliconFlow, ModelScope, GitHub Models, Kilo Code, Aion Labs, and Z.ai. Keep provider-specific complexity inside the gateway. Your application calls one model alias while the router handles availability, compatibility, and recovery. Retry transient failures, respect rate-limit cooldowns, open circuits around unhealthy providers, and continue through the next eligible model. Route tools, JSON mode, structured output, vision, reasoning, streaming, and embeddings only to compatible active models. Create aliases…from llmrouter.dpdns.org
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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…
FastRouter.ai22d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality
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!
OpenRouter Model FusionApr 2026 · openrouter.ai · ▲144Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…
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