Aurora – AI Gateway built in Go
Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend. It helps: - track costs per customer/team - switch models and providers without changing code - debug requests and responses flows more easily - reduce costs with exact and semantic…
Aurora – AI Gateway built in Go launched on August 1, 2026 with 7 votes, #1,411 of 23,274 launches that month and more than 75% of that year's launches.
What it does
The Fastest enterprise AI gateway — route LLM traffic across OpenAI, Anthropic, Gemini, Groq & 30+ providers via a single API. Self-hosted, no vendor lock-in. ( 55x faster than litellm ) - aurorallm/aurora
In the maker’s words, at launch
Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora…
Does a similar job
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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…
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