LotaGate - Unified AI infrastructure across models and providers

I’m Huy, founder of LotaGate. I started building LotaGate after repeatedly seeing the same problem in AI development: integrating one model is easy, but operating across multiple providers quickly becomes fragmented. Different APIs, SDKs, streaming formats, authentication methods, model behaviors, and operational tooling force developers to rebuild the same infrastructure again and again. LotaGate started with a simple idea: create one infrastructure layer between applications and AI providers. That idea has since grown into a broader developer ecosystem consisting of an AI Gateway, SDK, Agent SDK, CLI, Desktop App, and Web Platform, with support for OpenAI, Anthropic, and Google API standards. The goal is not to hide the differences between providers. Those differences matter. The goal is to remove unnecessary infrastructure complexity so developers can adopt models and providers without repeatedly rebuilding their stack. We’re still early, and there is a lot more to build — especially around reliability, observability, routing, model coverage, and developer experience. This launch is an important step for us: moving from building internally to putting LotaGate in front of more developers and learning from real-world usage. If you build AI applications, agents, or developer tools, I’d genuinely appreciate any feedback on the product, API experience, reliability, or what you think we should improve next. Thanks for checking out LotaGate. — Huy Founder, LotaGate