Introducing InferXgate: The Open-Source LLM Gateway Built for Performance

by InferXgate Team on

Today, we’re excited to announce the public release of InferXgate, an open-source LLM gateway designed from the ground up for performance, reliability, and simplicity.

Why We Built InferXgate

As AI-powered applications become increasingly sophisticated, developers face a common set of challenges:

  • Provider Lock-in: Each LLM provider has its own API format
  • Performance Overhead: Proxy layers add latency
  • Cost Management: No visibility into token usage across providers
  • Operational Complexity: Managing multiple API keys, rate limits, and failover

We built InferXgate to solve these problems with a single, unified gateway.

What Makes InferXgate Different

Built in Rust for Performance

Unlike proxy solutions built on interpreted languages, InferXgate is written in Rust from the ground up. This means:

  • Under 5ms latency overhead
  • 10,000+ requests/second throughput
  • Under 50MB memory footprint
  • Zero garbage collection pauses

OpenAI-Compatible API

InferXgate presents an OpenAI-compatible API regardless of which provider you’re using. Switch from OpenAI to Claude with a single configuration change—no code modifications required.

from openai import OpenAI

# Point to InferXgate
client = OpenAI(base_url="http://localhost:3000/v1")

# Use any provider through the same API
response = client.chat.completions.create(
    model="claude-sonnet-4-20250514",  # or "gpt-4", "gemini-pro"
    messages=[{"role": "user", "content": "Hello!"}]
)

Intelligent Caching with Redis

InferXgate integrates with Redis to cache responses, reducing costs by 60-90% for repeated queries. The semantic caching option even matches similar (not just identical) prompts.

Built-in Observability

From day one, InferXgate includes:

  • Prometheus metrics endpoint
  • Real-time usage analytics
  • Per-request cost tracking
  • Health monitoring for all providers

Getting Started

Getting started with InferXgate takes just a few minutes:

# Install
cargo install inferxgate

# Or use Docker
docker run -p 3000:3000 inferxgate/inferxgate

# Configure your providers
export ANTHROPIC_API_KEY=your-key
export OPENAI_API_KEY=your-key

# Start the gateway
inferxgate serve

What’s Next

This is just the beginning. Our roadmap includes:

  • Streaming function calls across all providers
  • Cost-based routing to automatically select the cheapest provider
  • Prompt caching integration with Anthropic’s native caching
  • Enterprise features like SAML SSO and audit logging

Join the Community

InferXgate is open-source under the MIT license. We’d love for you to:

Thank you for your interest in InferXgate. We can’t wait to see what you build!

The InferXgate Team

Tagged:

launchopen-sourcellmgatewayrustai