Antirion

Antirion is an open-source AI gateway designed to serve as a high-performance proxy between your applications and multiple large language model (LLM) providers. Written in Rust, it offers extremely low latency—around half a millisecond overhead per request—and can be deployed as a single binary with an integrated web-based admin console. This means platform teams can manage, secure, and observe all AI traffic from one lightweight deployment.

Supporting connectivity with many leading LLM vendors including OpenAI, Anthropic, Gemini, Amazon Bedrock, and any OpenAI-compatible server, Antirion allows seamless routing and translation between them. Its features include robust request routing, fallback logic, weighted load balancing, and translation between provider dialects, letting any client connect to any backend with minimal configuration changes.

With enforced budgets, spending projections, audit logs, and fine-grained API key management, teams gain precise control over costs and security. Additional safety guards like PII redaction, blocklisting, schema validation, and moderation can be configured on requests and responses—even for high-throughput production use.

Antirion ships fully open-source and is suitable for both standalone and clustered deployments. It is designed for production environments, with support for high concurrency, observability hooks for Prometheus and OTLP, and integrated SSO and identity management. This makes it an all-in-one layer for teams looking to simplify, secure, and optimize their AI infrastructure across multiple models and vendors.

Antirion is best suited for engineering leaders, infrastructure teams, and platform owners at startups and scaling technology companies who need to manage access to multiple LLM providers across their products. It’s ideal for organizations that handle high volumes of AI requests and care about API performance, observability, cost controls, and compliance.

AI engineers and DevOps professionals will use it to route and monitor calls to different model providers, enforce budgets, and apply security guardrails to data passed through LLM APIs. It’s especially relevant for teams looking for a fast, open-source alternative to commercial LLM gateways, or those integrating generative AI into production apps that require stability and detailed audit trails.