Project: OmniGate LLM
One OpenAI-compatible endpoint to unify, route, cache, load-balance, and manage requests across multiple LLM providers with built-in failover, rate limiting, and production-ready observability.
By Sandip Das · · 8 min read
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Hey — It's Sandip Das 👋
This project demonstrates how to build production-grade AI infrastructure by combining API gateways, load balancing, failover, caching, observability, and multi-cloud AI integrations into a single platform.
Learning this helps us understand real-world LLMOps patterns for scaling, reliability, cost optimization, and operating AI workloads in production environments.
This project demonstrates how to build production-grade AI infrastructure by combining API gateways, load balancing, failover, caching, observability, and multi-cloud AI integrations into a single platform.
Learning this helps us understand real-world LLMOps patterns for scaling, reliability, cost optimization, and operating AI workloads in production environments.