Relay
Reliable delivery layer for LLM APIs
Relay launched on June 16, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Drop-in SDK that adds auto retry, provider failover (Anthropic ↔ OpenAI), and smart caching to every LLM call. One line keeps your AI agents online even when providers don't. BYOK, edge-native, $0 to start.
Auto retry, provider failover and smart caching for LLM API calls. One import keeps your agents up when Anthropic and OpenAI don't.
I rewrote retry-and-failover for LLM APIs in four projects, each time with a new bug. Relay is the version you import instead — same SDK shape, plus auto-retry, provider failover, and a cache that stops you paying twice. Live stream from a relay account — same shape you see in your dashboard. Newest event types in at the top, older ones fade out of the bottom of the window. Anthropic drops thirty minutes. Your agent stops mid-task. Your user closes the tab. Your churn ticks up. Repeat next month when OpenAI has its own bad day. Peak hours are exactly when you can't afford retries you don't have. Every 529 you don't catch is a request that quietly dies and a user who quietly leaves. Every…from relay-sdk.vercel.app
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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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