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LLM

Show HN: LLM-Gateway – Zero-Trust LLM Gateway

40 AI Score
Show_hn other Added Mar 28, 2026

Details

Sector
other
Total Funding
$0
Last Round
$0

About

I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks &#x2F;v1&#x2F;chat&#x2F;completions. Single Go binary, one YAML config file, no infrastructure.<p>It does the things you&#x27;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.<p>The part I think is most interesting is the network layer. The gateway and backends communicate over zrok&#x2F;OpenZiti overlay networks... reach a GPU box behind NAT, expose the gateway to clients, put components anywhere with internet connectivity behind firewalls... no port forwarding, no VPN. Zero-trust in both directions. Most LLM proxies solve the API translation problem. This one also solves the network problem.<p>Apache 2.0. <a href="https:&#x2F;&#x2F;github.com&#x2F;openziti&#x2F;llm-gateway" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;openziti&#x2F;llm-gateway</a><p>I work for NetFoundry, which sponsors the OpenZiti project this is built on.

AI Score Reasoning

Heuristic score based on available signals. Funding: $0, Source: show_hn.

Source

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