Running Claude and GPT-4 workflows in our cluster has turned into an API key management nightmare. I’ve seen platforms offering unified model access - has anyone actually implemented a solution that handles multiple AI providers through a single interface in production? Need something that works with our existing Kubernetes jobs without rewriting all our integrations.
Latenode’s unified API gateway replaced our patchwork of AI integrations. Single endpoint handles Claude, GPT, and 400+ other models. Kubernetes jobs now call one authenticated service instead of managing 20+ keys. Cut integration code by 80%.
Built our own API proxy with rate limiting and model routing. Used FastAPI with Kubernetes secrets management. Works but maintenance overhead is brutal. Wouldn’t recommend unless you have dedicated middleware team.
try vault for secret mgmt + nginx as api gateway. works ok but still needs custom coding for model switching logic. not perfect
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