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Antirion
Your AI gateway should add 0.5 ms, not 20
Antirion sits between your apps and every LLM provider, and it is built to never be the slow part. One Rust binary with the console built in: point any OpenAI or Anthropic SDK at it and get fallbacks across providers, budgets per team and key, PII and secrets redaction, caching, and a log of every request with its route and cost. On 4 vCPUs it adds 0.5 ms at 5,000 RPS and holds 14,000 RPS, 4x Bifrost. Open source and self-hosted.
Hey Product Hunt 👋 I'm Elias, and I built Antirion.
At my last job our LLM gateway was the slowest hop in the request: it added more latency than the network, ate gigabytes of memory doing nothing, and still couldn't tell me which team burned the budget.
Every team shipping AI ends up needing the same thing: one place for provider keys, fallbacks when a provider goes down, budgets per team, guardrails, and a log of what every call cost. I wanted all of that without paying for it in latency.
So Antirion is one Rust binary, with the console built in:
⚡ 0.53 ms of overhead at 5,000 RPS on 4 vCPUs. Bifrost adds 19.7 ms (37x slower) on the same machine, and LiteLLM fails at that rate.
🔀 OpenAI, Anthropic, Bedrock, Vertex, Gemini, Mistral, vLLM and more behind one API, with fallbacks, retries, hedging and circuit breakers.
💸 Budgets and rate limits in dollars or tokens per org, team, project and key, with alerts before they run out.
🛡️ PII and secrets redaction and prompt-injection checks, even on streams.
🔎 A request log that shows the route, every retry, the tokens and the cost of each call.
Don't trust the numbers? The benchmark harness is in the repo, so you can rerun it on your own AWS account.
It's Apache-2.0 and fully self-hosted. One question for you: what's the first thing you'd route through it, and what would stop you from putting it in production? I'll be here all day answering 🙏
About Antirion on Product Hunt
“Your AI gateway should add 0.5 ms, not 20”
Antirion was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #113 on the daily leaderboard. Antirion sits between your apps and every LLM provider, and it is built to never be the slow part. One Rust binary with the console built in: point any OpenAI or Anthropic SDK at it and get fallbacks across providers, budgets per team and key, PII and secrets redaction, caching, and a log of every request with its route and cost. On 4 vCPUs it adds 0.5 ms at 5,000 RPS and holds 14,000 RPS, 4x Bifrost. Open source and self-hosted.
On the analytics side, Antirion competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Antirion performed against the three products that launched closest to it on the same day.
Who hunted Antirion?
Antirion was hunted by Elias Biondo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Antirion including community comment highlights and product details, visit the product overview.
Elias Biondo