
Antirion
Your AI gateway should add 0.5 ms, not 20
What it does
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.
Product details
Profile
- Maker
- @biondoel
- Category
- AI Infrastructure Tools
- Platforms
- Web, API
- Website
- antirion.ai
Submitted by
- Launch date
- Launch tags
- Pricing
- Free
FAQ
Product questions
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.
Engineering and platform teams running LLM apps in production who need routing, fallbacks, budgets and observability across providers without added latency.
Most AI gateways add 10-20 ms of overhead per request and become a bottleneck at scale. Teams calling multiple LLM providers also end up rebuilding the same plumbing: provider fallbacks, per-team budgets, PII and secrets redaction, caching, and request logging with cost tracking. Antirion handles all of that in a single self-hosted Rust binary that adds about 0.5 ms, so the gateway is never the slow part.
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