No. 01
Unified Interface
One API for all major LLM providers. Zero code changes required.
SIGNAL
Intelligent Inference Control Plane
Enterprise-grade AI Gateway. Route requests, enforce rate limits, and guarantee reliability across LLM providers with a unified API.
v.01 / Enterprise Ready
01 / Capabilities
CORE FEATURES
02 / Use Cases
ENTERPRISE USE CASES
Production-grade architecture designed for high-throughput AI applications.
Architecture
Global Rate Limiting
Distributed token bucket across all edge nodes using Upstash Redis.
Core Engine
Provider Routing
Dynamic routing and fallback between OpenAI, Gemini, and Hugging Face.
Performance
Streaming Support
Seamless Server-Sent Events (SSE) streaming for all supported models.
Reliability
Idempotency
Cache identical requests within 24h to prevent duplicate charges.
Billing
Usage Ledger
Background workers aggregate token consumption by tenant.
Stack
FastAPI + asyncpg
High-concurrency async stack built for minimum latency overhead.
03 / Principles
HOW WE WORK
INTERFACE MINIMALISM
Reduce until only the essential remains. Every element earns its place.
SYSTEMS OVER SCREENS
Design behaviors, not just layouts. Build logic that scales.
CONTROLLED TENSION
Balance between restraint and expression. Confidence without excess.
SIGNAL CLARITY
Communication that cuts through noise. Precision in every interaction.
04 / Colophon
About
About the Project
InfrGate is a high-performance AI Gateway designed to multiplex and route traffic to LLM providers like OpenAI, Gemini, and Hugging Face. It enforces global token rate limits, mitigates duplicate charges through idempotency caching, and accurately tracks tenant spend—all behind a unified, drop-in OpenAI-compatible API.
© 2025 InfrGate. Open Source under MIT.
Built for Enterprise scale.